Add the tag `hide` or the tag `outlines` to any tiddler to keep it from appearing in the 'simple transclude' view of the references from other tiddlers. Tiddlers with either tag will appear here.
<<list-search
"[!is[system]tag[outlines]] [!is[system]tag[hide]] +[sort[title]]"
"search"
"$:/temp/list-search-example"
"$:/core/ui/ListItemTemplate"
placeholder:"" >>
Tag tiddlers with the tag `sources` if they are book chapters, articles, or webpages. They will appear here and will also appear as references below the tiddlers linked to from them.
<<list-search
"[!is[system]tag[sources]sort[title]]"
"search"
"$:/temp/list-search-example"
"$:/core/ui/ListItemTemplate"
placeholder:"" >>
/*BOXES*/
html body.tc-body .graybox {display:block;background-color:#eee;padding:5px;padding-left:20px;padding-top:10px;margin-top:5px;margin-bottom:5px;width:95%;}
code {color: #b0a;}
/*TIGHT NOTES*/
html body.tc-body h1, html body.tc-body h2, html body.tc-body h3, html body.tc-body h4 { margin-top: 0.3em; margin-bottom: 0.3em; }
/*FONT SUBTITLES*/
.serif {font-family: 'Arial', sans-serif;color:#bbb;font-size:10pt;}
html body.tc-body .serif a.tc-tiddlylink-external {font-family: 'Arial', sans-serif;font-size:12pt; line-height:normal;font-weight:normal;color:#666;}
/*FONT STUFF (colors)*/
html body.tc-body .lightgraybk {background:#eee;padding:1px 4px px 4px;margin-bottom:2px;font-family:'Arial', sans-serif;}
.red {color:red;}
/*FONT STUFF SOURCES*/
html body.tc-body .source {color:#777;font-size:10pt;}
/*HORIZONTAL RULE*/
html body.tc-body hr {border:0px;}
html body.tc-body hr {
border-top: 1px solid #bbb;
text-align: center;
width:100%; margin-top:15px; margin-bottom:15px;
}
/*ICON COLORS*/
html body.tc-body .tc-image-new-button {stroke: white;fill:#7897fc;}
html body.tc-body .tc-image-timestamp-on {stroke: white;fill:#7897fc;}
html body.tc-body .tc-image-chevron-up {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-chevron-down {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-fold-button {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-unfold-button {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-preview-open {stroke: white;fill:#d9c;}
/*INDENTING*/
html body.tc-body .indent1 {margin-left:1.5em;display:block;}
/*LINKS*/
html body.tc-body a.tc-tiddlylink {text-decoration: none;font-style: normal;font-weight: normal;}
html body.tc-body a.tc-tiddlylink-missing {font-weight:normal; background-color:#ffd; color:#66f;font-style:normal;}
html body.tc-body a.tc-tiddlylink-external {text-decoration: none;font-weight: normal;color: #109;}
html body.tc-body a.tc-tiddlylink-visited {text-decoration: none;font-weight: normal;color: #66f;}
html body.tc-body .source a.tc-tiddlylink-external {font-weight: normal;font-size:10pt;}
/*TABLES BASIC*/
html body.tc-body th {color:#000;}
html body.tc-body td {color:#000;}
/*TABLES GREENALTROWS*/
html body.tc-body .greenaltrows th {padding: 10px; border: 1px solid #aaa; vertical-align:top;text-align:left;}
html body.tc-body .greenaltrows td {padding: 10px; border: 1px solid #aaa; vertical-align:top;}
html body.tc-body .greenaltrows tr:nth-child(even) td {background-color:#F3F6F5;}
html body.tc-body .greenaltrows tr:nth-child(odd) td {background-color:#E7EDEB;}
html body.tc-body .greenaltrows {
-moz-box-shadow: 10px 10px 5px #bbb;
-webkit-box-shadow: 10px 10px 5px #bbb;
box-shadow: 10px 10px 5px #bbb;
}
/*TIDDLER TITLES*/
.tc-tiddler-missing .tc-title { font-style: normal; font-weight: bold; }
/*HIDE SECTIONS FOR PRINTING*/
@media print {#tc-page-background {display: none ! important;}}
@media print {.tc-tags-wrapper {display: none ! important;}}
@media print { body.tc-body {background-color: transparent;}}
@media print {.tc-image-chevron-up {display: none ! important;}}
@media print {.tc-image-chevron-down {display: none ! important;}}
@media print {button.sidebar-toggle {display: none ! important;}}
@media print {.hideprint {display: none ! important;}}
@media print {.tc-btn-invisible {display: none ! important;}}
@media print {
.story-river {
margin: 0;
padding: 0;
}
html body.tc-body .tc-tiddler-frame {
margin: 0;
border-bottom: 1px solid #fff;
padding: 5px;}
html body.tc-body a.tc-tiddlylink-external:hover {
border: 1px solid <<colour tiddler-border>>;
}
html body.tc-body .tc-tiddler-info {
padding: 14px 42px 14px 42px;
background-color: <<colour tiddler-info-background>>;}
}
}
<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} journalTags={{$:/config/NewJournal/Tags}} journalText="">
<$wikify name="journalTitle" text="""<$macrocall $name="now" format=<<journalTitleTemplate>>/>""">
<$reveal type="nomatch" state=<<journalTitle>> text="">
<$action-sendmessage $message="tm-new-tiddler" title=<<journalTitle>> tags="" text={{{ [<journalTitle>get[]] }}}/>
</$reveal>
<$reveal type="match" state=<<journalTitle>> text="">
<$action-sendmessage $message="tm-new-tiddler" title=<<journalTitle>> tags="" text=<<journalText>>/>
</$reveal>
</$wikify>
</$vars>
\define journalButton()
<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/.giffmex/actions/new-journal}}>
<$list filter="[<tv-config-toolbar-icons>match[yes]]">
{{$:/core/images/timestamp-on}}
</$list>
<$list filter="[<tv-config-toolbar-text>match[yes]]">
<span class="tc-btn-text"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>
</$list>
</$button>
\end
<<journalButton>>
<span class="doublelist">
*''2-28-2020''
**Thanks to help from Mark S. at the ~TiddlyWiki Google group (and Thomas Elmiger, Mohammad and ~TonyM), the checkboxes for changing the way to view references now work the way I have always wanted them to: choosing one view closes the other views.
**Added a TiddlyBlink palette and a palette switcher in the 'gear' tab.
**Changed tiddlers: $:/.giffmex/sidebar/tabs/tiddlyblinkcontrols, $:/.giffmex/ViewTemplate/refstranscludeclean, $:/.giffmex/ViewTemplate/refstranscludecollapse, $:/.giffmex/ViewToolbar/viewrefscheckboxes.
*''1-29-2020:''
**Added CSS in $:/.giffmex/.Stylesheet4tiddlyblink for tighter padding around transcluded notes.
**Added $:/sk/WhiteList so users can add wikiwords they don't want to automatically turn into links
**Moved the checkboxes for toggling notes as context / transclude / links to the ~TiddlyBlink tab in the sidebar.
**With the help of ~TonyM and Eric Shulman at the ~TiddlyWiki Google group, I was able to fix a problem with the button at the top of the tiddlers that creates new tiddlers with a date and time stamp for the title.
**Improved instructions, including an example file at http://giffmex.org/gifts/tiddlyblinkexample.html
*''1-30-2020:''
**Made tiddler titles above transclusions into links, by popular demand.
*''1-31-2020''
**With the help fo ~MarkS at the ~TiddlyWiki Google group, I added a new way of viewing references: transclusion with open and close buttons.
**Added the home page and more documentation, accessible from the 'Start here' tab.
*''2-1-2020''
**Changed .outlinesList to .hideList
**Added documentation to .hideList, .sourcesList and .topicList
**Other minor documentation changes (2 and 3)
**Link to upcoming Spanish version
**Updated [[$:/.giffmex/meta/How.to.add.TiddlyBlink.to.your.TiddlyWiki]] (the list there will soon be replaced with a plugin!)
*''2-4-2020''
**Now when you save a tiddler, any links in that tiddler to non-existent (missing) tiddlers automatically cause the creation of those tiddlers. So you don't need to open the links, click edit, and click save, as before.
*''2-6-2020''
**Added the parallel tab in the sidebar ($:/.giffmex/sidebar/parallel) for viewing tiddlers side by side. See [[3. See tiddlers side by side]]. Use by tagging and untagging a tiddler with `parallel`
**Adjusted relative width of story river and sidebar, and hide sitetitle and sitesubtitle from sidebar, to make room for the parallel tab.
*''2-7-2020''
**Replaced yesterday's parallel tab with an even better one! Courtesy of A Gloom from the TiddlyWiki Google group. Now just paste a tiddler title into the parallel tab field, and view the tiddler's contents for side-by-side reading. ($:/.giffmex/sidebar/parallel and $:/.giffmex/sidebar/parallel2)
**Hid 'meta' tags from References, per suggestion by Mark S at the TiddlyWiki Google group.
*''2-12-2020''
**Changed TB so that only linked references appear in the reference section. Added $:/.giffmex/meta/hack.tiddlyblink with instructions on how to put it back in. See $:/.giffmex/ViewTemplate/refscontext, $:/.giffmex/ViewTemplate/refslinks, $:/.giffmex/ViewTemplate/refstranscludeclean, and $:/.giffmex/ViewTemplate/refstranscludecollapse
**Made available from the tiddler view toolbar, the checkboxes for showing and hiding references. See the {{$:/core/images/preview-open}} menu at the top of the tiddlers. $:/.giffmex/viewtoolbar/viewrefs, $:/.giffmex/ViewToolbar/viewrefscheckboxes, and $:/config/ViewToolbarButtons/Visibility/$:/.giffmex/ViewToolbar/viewrefscheckboxes
</span>
*Change the title and subtitle of this file
**Edit [[$:/SiteTitle]] and [[$:/SiteSubtitle]]
*Customize the date and time stamp when creating new notes
**Open [[$:/config/NewJournal/Title]] and adjust. The guide to formatting dates and times is here: https://tiddlywiki.com/#DateFormat
**Make changes to the Custom Stylesheet: edit [[$:/.giffmex/.Stylesheet4tiddlyblink]] and/or create a tiddler and tag it `$:/tags/Stylesheet` and choose 'text/css' in the type field.
*Keep WikiWords (CamelCase words like McDonalds ) from becoming links
**Add `~` before a wikiword to keep it from becoming a link
**To add to a word-by-word list of frequent wikiwords that should not be links, add them, comma-separated, to $:/sk/WhiteList
**Nuclear option: To turn off //all //automatic wikiword linking, open $:/ControlPanel > Settings > uncheck the Camel Case Wiki Links checkbox
!!All references, in links and in regular text.
We disabled references that do not appear in links. This was a feature in early versions of TiddlyBlink, but we and others found it produced a lot of unwanted references, and confusion as people clicked the link and did not have a link to return back to the previous tiddler.
But if you would like to have this feature back in your TiddlyBlink, just edit the following tiddlers:
"""
$:/.giffmex/ViewTemplate/refscontext
$:/.giffmex/ViewTemplate/refslinks
$:/.giffmex/ViewTemplate/refstranscludeclean
$:/.giffmex/ViewTemplate/refstranscludecollapse
"""
And replace
`all[current]backlinks[]`
with
`regexp:text<mycrit>`
To get this experience on your own TiddlyWiki or an empty one, drag these links from here to the other TiddlyWiki.
"""
[[.hideList]]
[[.sourcesList]]
[[.topicList]]
[[1. Download and set up TiddlyBlink]]
[[2. Lightning-fast linking and navigating]]
[[3. See tiddlers side by side]]
[[4. Topics, sources and hiding?]]
[[5. My own notetaking process in TiddlyBlink]]
[[6. Learn more about TiddlyWiki]]
[[TiddlyBlink]]
[[TiddlyBlink home]]
TiddlyBlinkFoldData
$:/.giffmex/.Stylesheet4tiddlyblink
$:/.giffmex/actions/new-journal
$:/.giffmex/buttons/newnote-datetime
$:/.giffmex/Change
$:/.giffmex/Change.log
$:/.giffmex/Customize
$:/.giffmex/Customize.TiddlyBlink
$:/.giffmex/meta/hack.tiddlyblink
$:/.giffmex/meta/How
$:/.giffmex/meta/How.to.add.TiddlyBlink.to.your.TiddlyWiki
$:/.giffmex/meta/TiddlyBlink
$:/.giffmex/meta/TiddlyBlink.gears.and.doo-hickeys
$:/.giffmex/sidebar/parallel
$:/.giffmex/sidebar/parallel2
$:/.giffmex/sidebar/tabs/tiddlyblinkcontrols
$:/.giffmex/ViewTemplate/refscontext
$:/.giffmex/ViewTemplate/refslinks
$:/.giffmex/ViewTemplate/refstranscludeclean
$:/.giffmex/ViewTemplate/refstranscludecollapse
$:/.giffmex/ViewToolbar/new-note-here
$:/.giffmex/ViewToolbar/new-note-here-datetime
$:/.giffmex/viewtoolbar/viewrefs
$:/.giffmex/ViewToolbar/viewrefscheckboxes
$:/.tb/macros/list-search
$:/config/AnimationDuration
$:/config/EditorTypeMappings/text/vnd.tiddlywiki
$:/config/NewJournal/Title
$:/config/RelinkOnRename
$:/config/ViewToolbarButtons/Visibility/$:/.giffmex/ViewToolbar/viewrefscheckboxes
$:/config/WikiParserRules/Inline/wikilink
$:/core/ui/Buttons/save
$:/core/ui/EditTemplate
$:/DefaultTiddlers
$:/fullscreen-editor
$:/jd/fullscreen-editor/EditButton
$:/plugins/danielo515/context/css
$:/plugins/danielo515/ContextPlugin
$:/plugins/danielo515/ContextPlugin/Caption
$:/plugins/danielo515/ContextPlugin/widgets/context.js
$:/plugins/flibbles/relink
$:/plugins/jd/fullscreen-editor
$:/plugins/sk/WhiteList
$:/plugins/snowgoon88/edit-comptext
$:/plugins/snowgoon88/edit-comptext/config
$:/SiteSubtitle
$:/SiteTitle
$:/sk/WhiteList
$:/tags/EditToolbar
$:/tags/PageControls
$:/tags/ViewTemplate
$:/tags/ViewToolbar
$:/view
"""
For those who want to understand ~TiddlyBlink better, tinker with it and customize it, here is the basic information (assuming you already know how ~TiddlyWiki works).
''General''
*CSS styles can be found and edited in $:/.giffmex/.Stylesheet4tiddlyblink
''Tiddler toolbar in view mode''
*The + icon activates $:/.giffmex/ViewToolbar/new-note-here and the clock icon activates $:/.giffmex/ViewToolbar/new-note-here-datetime . These create new tiddlers whose text field contains a link to the tiddler used to create them. So the 'child' tiddler contains a link to the 'parent' tiddler. The title field is either empty or contains a date and time stamp, depending on which button is chosen.
*The {{$:/core/images/full-screen-button}} icon activates the [[Fullscreen editor plugin|$:/plugins/jd/fullscreen-editor]]. This opens the current tiddler in edit mode that occupies the entire screen.
''Link creation and editing''
*Typing `[[` activates autocomplete, executed by the [[comptext plugin|$:/plugins/snowgoon88/edit-comptext]]. If the tiddler already exists, you can hit enter if the desired tiddler is the first entry, or navigate with the down arrow key until you reach it. Then hit enter. The opening and closing brackets that get created by this plugin can be modified using the tiddler $:/plugins/snowgoon88/edit-comptext/config .
**Note that the comptext plugin relies on $:/config/EditorTypeMappings/text/vnd.tiddlywiki set to `comptext`
*When you rename a tiddler, this activates the [[Relink plugin|$:/plugins/flibbles/relink]]. This changes all the references to the renamed tiddler title found as links in all the other tiddlers. It does not change references that are not found in links.
*WikiWords in CamelCase automatically turn into links. $:/sk/WhiteList is a list run by the [[Whitelist plugin|$:/plugins/sk/WhiteList]] that allows you to list all WikiWords you do not want turned into links. Other options: manually insert `~` before the WikiWords as they occur in tidders, or, if you are like me and find WikiWords annoying rather than helpful, uncheck the first checkbox in the $:/ControlPanel > settings tab.
''Sidebar''
*The ~TiddlyBlink sidebar is found in the $:/.giffmex/sidebar/tabs/tiddlyblinkcontrols tiddler.
*The blue clock button in the sidebar activates $:/.giffmex/buttons/newnote-datetime . This is set up to create a new tiddler with a date and timestamp in the title.
*Clicking on a checkmark in the ~TiddlyBlink tab tags one of three tiddlers ($:/.giffmex/ViewTemplate/refscontext, $:/.giffmex/ViewTemplate/refslinks, $:/.giffmex/ViewTemplate/refstranscludeclean and $:/.giffmex/ViewTemplate/refstranscludecollapse) with the tag ~$:/tags/ViewTemplate, making them show up under the tiddler. Those three tiddlers grab all the text references to the current tiddler, and format them into either links, transclusions, or highlighted search results in context. The latter uses the [[ContextPlugin|$:/plugins/danielo515/ContextPlugin]].
Paste a tiddler title to view tiddler in tab: <$edit-text tiddler="$:/temp/sbartidddisplayvalue" placeholder="tiddler title" tag="input" type="text"/>
{{$:/.giffmex/sidebar/parallel}} <br><h2><$list filter="[{$:/temp/sbartidddisplayvalue}is[tiddler]]" emptyMessage="tiddler doesn't exist" ></$list></h2>
<$transclude tiddler={{$:/temp/sbartidddisplayvalue}} mode="block" />
\define tagreset()
<$list filter="[tag[refs]sort[created]] -[[$(currentTiddler)$]]" variable="removeme">
<$action-listops $tiddler=<<removeme>> $tags="+[remove[$:/tags/ViewTemplate]]"/>
</$list>
<$action-deletefield dummy/>
\end
Click the palette icon below to ''select a color palette'' from a dropdown. Default is ~TiddlyBlink. TiddlyWiki default is Vanilla. Note that dark themes may obscure some features.
Click here: {{$:/core/ui/Buttons/palette}}
<hr>
<span class="graybox">
''View references as:''
<$list filter="[tag[refs]sort[created]]">
<$list filter="[all[current]tag[$:/tags/ViewTemplate]]">
<$checkbox field=dummy checked="yes" unchecked="yes" default="yes"></$checkbox>
<$link><$view field="caption"/></$link><br/>
</$list>
<$list filter="[all[current]!tag[$:/tags/ViewTemplate]]">
<$checkbox tag="$:/tags/ViewTemplate" xinvertTag="yes" checkactions=<<tagreset>>/><$link> <$view field="caption"/></$link><br/>
</$list>
</$list>
<br>Note that the gray boxes in the context and transclude options are links to their respective tiddlers.
</span>
\define mycrit() (?i)\b$(searchspx)$\b
<hr>References:
<$vars searchme=<<currentTiddler>> searchspx={{{ [<currentTiddler>escaperegexp[]]}}} >
<$list filter="[!is[system]all[current]backlinks[]!tag[outlines]!tag[hide]sort[title]] -[is[current]]"><$link><$view field="title"/></$link><span class="indent1"><$link><span class="graybox"><$context term=<<searchme>> /></span></$link></span></$list>
</$vars>
\define mycrit() (?i)\b$(searchspx)$\b
<hr>References:
<$vars searchme=<<currentTiddler>> searchspx={{{ [<currentTiddler>escaperegexp[]]}}} >
<$list filter="[!is[system]all[current]backlinks[]!tag[hide]sort[title]] -[is[current]]"><$link><$view field="title" /></$link><br></$list>
</$vars>
<hr>
References: <br>
<$list filter="[!is[system]all[current]backlinks[]!tag[hide]!tag[outlines]sort[title]] -[is[current]]"><$link><$view field="title"/></$link><span class="indent1"><$link><span class="graybox"><$transclude field="text" mode="block" /></span></$link></span></$list>
<hr>
References: <br>
<$list filter="[!is[system]all[current]backlinks[]!tag[hide]!tag[outlines]sort[title]] -[is[current]]"><$link><$view field="title"/></$link>
<$reveal type="nomatch" stateTitle="TiddlyBlinkFoldData" stateIndex=<<currentTiddler>> text="show">
<$button class=<<tv-config-toolbar-class>> setTitle="TiddlyBlinkFoldData" setIndex=<<currentTiddler>> setTo="show">{{$:/core/images/unfold-button}}</$button><br/>
</$reveal>
<$reveal type="match" stateTitle="TiddlyBlinkFoldData" stateIndex=<<currentTiddler>> text="show">
<$button class=<<tv-config-toolbar-class>> setTitle="TiddlyBlinkFoldData" setIndex=<<currentTiddler>> setTo="hide">{{$:/core/images/fold-button}}</$button>
<span class="indent1">
<$link><span class="graybox">
<$transclude field="text" mode="block" /></span></$link></span>
</$reveal>
</$list>
\define button()
<$button class=<<tv-config-toolbar-class>> actions=<<actions>>>
{{$:/core/images/new-button}}
</$button>
\end
\define actions()
<$action-sendmessage $message="tm-new-tiddler" title=<<journalTitle>> text="""[[$(tid)$]]"""/>
\end
<$wikify name=tid text=<<currentTiddler>>>
<<button>>
</$wikify>
\whitespace trim
\define journalButtonActions()
<$action-sendmessage $message="tm-new-tiddler" title=<<now """$(journalTitleTemplate)$""">> text="""[[$(tid)$]]""" />
\end
\define journalButtonTags()
[[$(currentTiddlerTag)$]] $(journalTags)$
\end
\define journalButton()
<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}}
aria-label={{$:/language/Buttons/NewJournalHere/Caption}}
class=<<tv-config-toolbar-class>>
actions=<<journalButtonActions>>>
<$list filter="[<tv-config-toolbar-icons>match[yes]]">
{{$:/core/images/timestamp-on}}
</$list>
<$list filter="[<tv-config-toolbar-text>match[yes]]">
<span class="tc-btn-text">
<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>
</span>
</$list>
</$button>
\end
<$set name="journalTitleTemplate" value={{$:/config/NewJournal/Title}}>
<$set name="tid" value=<<currentTiddler>>>
<<journalButton>>
</$set>
</$set>
\whitespace trim
\define config-title()
$:/config/ViewToolbarButtons/Visibility/$(listItem)$
\end
<$button popup=<<qualify "$:/state/popup/more">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass="tc-selected">
<$list filter="[<tv-config-toolbar-icons>match[yes]]">
{{$:/core/images/preview-open}}
</$list>
<$list filter="[<tv-config-toolbar-text>match[yes]]">
<span class="tc-btn-text">
<$text text=" "/>
<$text text={{$:/language/Buttons/More/Caption}}/>
</span>
</$list>
</$button>
<$reveal state=<<qualify "$:/state/popup/more">> type="popup" position="belowleft" animate="yes">
<div class="tc-drop-down">
<$set name="tv-config-toolbar-icons" value="yes">
<$set name="tv-config-toolbar-text" value="yes">
<$set name="tv-config-toolbar-class" value="tc-btn-invisible">
<$list filter="[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] +[tag[refview]] -[[$:/core/ui/Buttons/more-tiddler-actions]]" variable="listItem">
<$reveal type="match" state=<<config-title>> text="hide">
<$set name="tv-config-toolbar-class" filter="[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]">
<$transclude tiddler=<<listItem>> mode="inline"/>
</$set>
</$reveal>
</$list>
</$set>
</$set>
</$set>
</div>
</$reveal>
\define tagreset()
<$list filter="[tag[refs]sort[created]] -[[$(currentTiddler)$]]" variable="removeme">
<$action-listops $tiddler=<<removeme>> $tags="+[remove[$:/tags/ViewTemplate]]"/>
</$list>
<$action-deletefield dummy/>
\end
<span style="font-size:12pt;">
<span class="graybox">
''View references as:''
<$list filter="[tag[refs]sort[created]]"><$list filter="[all[current]tag[$:/tags/ViewTemplate]]">
<$checkbox field=dummy checked="yes" unchecked="yes" default="yes"></$checkbox><$link><$view field="caption"/></$link></$list><$list filter="[all[current]!tag[$:/tags/ViewTemplate]]"><$checkbox tag="$:/tags/ViewTemplate" xinvertTag="yes" checkactions=<<tagreset>>/><$link><$view field="caption"/></$link> </$list></$list>
</span>
</span>
{{build-and-export}}
\define list-search(
filter:"[tags[]]",
search:"search:title",
state:"$:/temp/list-search",
template:"$:/core/ui/ListItemTemplate",
placeholder:"Filter",
limit:100000
)
<div>
<$edit-text
tiddler="$state$"
type="search"
tag="input"
default=""
placeholder="$placeholder$"/>
</div>
<$reveal state="$state$" type="match" text="">
<$list filter="$filter$+[limit[$limit$]]" template="$template$"/>
</$reveal>
<$reveal state="$state$" type="nomatch" text="">
<$list filter="$filter$+[$search${$state$}]+[limit[$limit$]]" template="$template$"/>
</$reveal>
\end
Built from branch 'tiddlywiki-com' at commit 71a827eead948c959d3f8e4b243d28ded03db2c5 of https://github.com/Jermolene/TiddlyWiki5.git at 2020-05-06 08:53:29 UTC
{
"tiddlers": {
"$:/Acknowledgements": {
"title": "$:/Acknowledgements",
"text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
},
"$:/core/copyright.txt": {
"title": "$:/core/copyright.txt",
"type": "text/plain",
"text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2020, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
},
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"title": "$:/core/icon",
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"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-tip tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 128.242c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64-35.346 0-64 28.654-64 64 0 35.346 28.654 64 64 64zm11.936-36.789c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349C54.33 94.05 58.824 95.82 64 95.82c5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.456c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zM64.3 24.242c11.618 0 23.699 7.82 23.699 24.2S75.92 71.754 75.92 83.576c0 5.873-5.868 9.26-11.92 9.26s-12.027-3.006-12.027-9.26C51.973 71.147 40 65.47 40 48.442s12.683-24.2 24.301-24.2z\"/></svg>"
},
"$:/core/images/transcludify": {
"title": "$:/core/images/transcludify",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-transcludify-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M0 59.482c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.651-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02C1.36 67.377.591 67.288 0 67.288v-7.806zm24.66 0c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.65-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02c-.946-.177-1.715-.266-2.306-.266v-7.806zm43.965-3.538L80.6 52.041l2.306 7.097-12.063 3.903 7.628 10.378-6.12 4.435-7.63-10.467-7.45 10.201-5.943-4.524 7.628-10.023-12.152-4.17 2.306-7.096 12.064 4.17V43.347h7.451v12.596zm34.425 11.344c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806zm24.66 0c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806z\"/></svg>"
},
"$:/core/images/twitter": {
"title": "$:/core/images/twitter",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-twitter tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M41.626 115.803A73.376 73.376 0 012 104.235c2.022.238 4.08.36 6.166.36 12.111 0 23.258-4.117 32.105-11.023-11.312-.208-20.859-7.653-24.148-17.883a25.98 25.98 0 0011.674-.441C15.971 72.881 7.061 62.474 7.061 49.997c0-.108 0-.216.002-.323a25.824 25.824 0 0011.709 3.22c-6.936-4.617-11.5-12.5-11.5-21.433 0-4.719 1.274-9.142 3.5-12.945 12.75 15.579 31.797 25.83 53.281 26.904-.44-1.884-.67-3.85-.67-5.868 0-14.22 11.575-25.75 25.852-25.75a25.865 25.865 0 0118.869 8.132 51.892 51.892 0 0016.415-6.248c-1.93 6.012-6.029 11.059-11.366 14.246A51.844 51.844 0 00128 25.878a52.428 52.428 0 01-12.9 13.33c.05 1.104.075 2.214.075 3.33 0 34.028-26 73.265-73.549 73.265\"/></svg>"
},
"$:/core/images/underline": {
"title": "$:/core/images/underline",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-underline tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M7 117.421h114.248V128H7v-10.579zm97.871-18.525V0h-16.26v55.856c0 4.463-.605 8.576-1.816 12.338-1.212 3.762-3.03 7.046-5.452 9.851-2.423 2.806-5.452 4.974-9.086 6.504-3.635 1.53-7.939 2.296-12.912 2.296-6.25 0-11.159-1.786-14.73-5.356-3.57-3.571-5.356-8.417-5.356-14.538V0H23v65.038c0 5.356.542 10.234 1.626 14.633 1.084 4.4 2.965 8.194 5.643 11.382 2.678 3.188 6.185 5.643 10.52 7.365 4.337 1.721 9.756 2.582 16.26 2.582 7.27 0 13.582-1.435 18.938-4.304 5.356-2.87 9.755-7.365 13.199-13.486h.382v15.686h15.303z\"/></svg>"
},
"$:/core/images/unfold-all-button": {
"title": "$:/core/images/unfold-all-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold-all tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><rect width=\"128\" height=\"16\" y=\"64\" rx=\"8\"/><path d=\"M63.945 60.624c-2.05 0-4.101-.78-5.666-2.345L35.662 35.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 41.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 58.279a7.986 7.986 0 01-5.663 2.346zM64.004 124.565c-2.05 0-4.102-.78-5.666-2.345L35.721 99.603c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 105.255l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.662 122.22a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unfold-button": {
"title": "$:/core/images/unfold-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><path d=\"M63.945 63.624c-2.05 0-4.101-.78-5.666-2.345L35.662 38.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 44.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 61.279a7.986 7.986 0 01-5.663 2.346zM64.004 105.682c-2.05.001-4.102-.78-5.666-2.344L35.721 80.721c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 86.373l16.966-16.966c3.124-3.125 8.194-3.13 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319l-22.617 22.617a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unlocked-padlock": {
"title": "$:/core/images/unlocked-padlock",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unlocked-padlock tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M48.627 64H105v32.01C105 113.674 90.674 128 73.001 128H56C38.318 128 24 113.677 24 96.01V64h6.136c-10.455-12.651-27.364-35.788-4.3-55.142 24.636-20.672 45.835 4.353 55.777 16.201 9.943 11.85-2.676 22.437-12.457 9.892-9.78-12.545-21.167-24.146-33.207-14.043-12.041 10.104-1.757 22.36 8.813 34.958 2.467 2.94 3.641 5.732 3.865 8.134zm19.105 28.364A8.503 8.503 0 0064.5 76a8.5 8.5 0 00-3.498 16.25l-5.095 22.77H72.8l-5.07-22.656z\"/></svg>"
},
"$:/core/images/up-arrow": {
"title": "$:/core/images/up-arrow",
"created": "20150316000544368",
"modified": "20150316000831867",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-up-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M63.892.281c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.104 3.092-11.196 0L63.894 19.393 13.513 69.774a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98A7.892 7.892 0 0163.893.28z\"/></svg>"
},
"$:/core/images/video": {
"title": "$:/core/images/video",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-video tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 12c-34.91 0-55.273 2.917-58.182 5.833C2.91 20.75 0 41.167 0 64.5c0 23.333 2.91 43.75 5.818 46.667C8.728 114.083 29.091 117 64 117c34.91 0 55.273-2.917 58.182-5.833C125.09 108.25 128 87.833 128 64.5c0-23.333-2.91-43.75-5.818-46.667C119.272 14.917 98.909 12 64 12zm-9.084 32.618c-3.813-2.542-6.905-.879-6.905 3.698v31.368c0 4.585 3.099 6.235 6.905 3.698l22.168-14.779c3.813-2.542 3.806-6.669 0-9.206L54.916 44.618z\"/></svg>"
},
"$:/core/images/warning": {
"title": "$:/core/images/warning",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-warning tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M57.072 11c3.079-5.333 10.777-5.333 13.856 0l55.426 96c3.079 5.333-.77 12-6.928 12H8.574c-6.158 0-10.007-6.667-6.928-12l55.426-96zM64 37c-4.418 0-8 3.582-8 7.994v28.012C56 77.421 59.59 81 64 81c4.418 0 8-3.582 8-7.994V44.994C72 40.579 68.41 37 64 37zm0 67a8 8 0 100-16 8 8 0 000 16z\"/></svg>"
},
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "advanced search"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Advanced search"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "cancel"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Discard changes to this tiddler"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "clone"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Clone this tiddler"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "close"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Close this tiddler"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "close all"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Close all tiddlers"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "close others"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Close other tiddlers"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "control panel"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Open control panel"
},
"$:/language/Buttons/CopyToClipboard/Caption": {
"title": "$:/language/Buttons/CopyToClipboard/Caption",
"text": "copy to clipboard"
},
"$:/language/Buttons/CopyToClipboard/Hint": {
"title": "$:/language/Buttons/CopyToClipboard/Hint",
"text": "Copy this text to the clipboard"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "delete"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Delete this tiddler"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "edit"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Edit this tiddler"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "encryption"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Set or clear a password for saving this wiki"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "clear password"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Clear the password and save this wiki without encryption"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "set password"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Set a password for saving this wiki with encryption"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "export all"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Export all tiddlers"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "export tiddler"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Export tiddler"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "export tiddlers"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Export tiddlers"
},
"$:/language/Buttons/SidebarSearch/Hint": {
"title": "$:/language/Buttons/SidebarSearch/Hint",
"text": "Select the sidebar search field"
},
"$:/language/Buttons/Fold/Caption": {
"title": "$:/language/Buttons/Fold/Caption",
"text": "fold tiddler"
},
"$:/language/Buttons/Fold/Hint": {
"title": "$:/language/Buttons/Fold/Hint",
"text": "Fold the body of this tiddler"
},
"$:/language/Buttons/Fold/FoldBar/Caption": {
"title": "$:/language/Buttons/Fold/FoldBar/Caption",
"text": "fold-bar"
},
"$:/language/Buttons/Fold/FoldBar/Hint": {
"title": "$:/language/Buttons/Fold/FoldBar/Hint",
"text": "Optional bars to fold and unfold tiddlers"
},
"$:/language/Buttons/Unfold/Caption": {
"title": "$:/language/Buttons/Unfold/Caption",
"text": "unfold tiddler"
},
"$:/language/Buttons/Unfold/Hint": {
"title": "$:/language/Buttons/Unfold/Hint",
"text": "Unfold the body of this tiddler"
},
"$:/language/Buttons/FoldOthers/Caption": {
"title": "$:/language/Buttons/FoldOthers/Caption",
"text": "fold other tiddlers"
},
"$:/language/Buttons/FoldOthers/Hint": {
"title": "$:/language/Buttons/FoldOthers/Hint",
"text": "Fold the bodies of other opened tiddlers"
},
"$:/language/Buttons/FoldAll/Caption": {
"title": "$:/language/Buttons/FoldAll/Caption",
"text": "fold all tiddlers"
},
"$:/language/Buttons/FoldAll/Hint": {
"title": "$:/language/Buttons/FoldAll/Hint",
"text": "Fold the bodies of all opened tiddlers"
},
"$:/language/Buttons/UnfoldAll/Caption": {
"title": "$:/language/Buttons/UnfoldAll/Caption",
"text": "unfold all tiddlers"
},
"$:/language/Buttons/UnfoldAll/Hint": {
"title": "$:/language/Buttons/UnfoldAll/Hint",
"text": "Unfold the bodies of all opened tiddlers"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "full-screen"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Enter or leave full-screen mode"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "help"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Show help panel"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "import"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Import many types of file including text, image, TiddlyWiki or JSON"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "info"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Show information for this tiddler"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "home"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Open the default tiddlers"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "language"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Choose the user interface language"
},
"$:/language/Buttons/Manager/Caption": {
"title": "$:/language/Buttons/Manager/Caption",
"text": "tiddler manager"
},
"$:/language/Buttons/Manager/Hint": {
"title": "$:/language/Buttons/Manager/Hint",
"text": "Open tiddler manager"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "more"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "More actions"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "new here"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Create a new tiddler tagged with this one"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "new journal"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Create a new journal tiddler"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "new journal here"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Create a new journal tiddler tagged with this one"
},
"$:/language/Buttons/NewImage/Caption": {
"title": "$:/language/Buttons/NewImage/Caption",
"text": "new image"
},
"$:/language/Buttons/NewImage/Hint": {
"title": "$:/language/Buttons/NewImage/Hint",
"text": "Create a new image tiddler"
},
"$:/language/Buttons/NewMarkdown/Caption": {
"title": "$:/language/Buttons/NewMarkdown/Caption",
"text": "new Markdown tiddler"
},
"$:/language/Buttons/NewMarkdown/Hint": {
"title": "$:/language/Buttons/NewMarkdown/Hint",
"text": "Create a new Markdown tiddler"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "new tiddler"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Create a new tiddler"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "open in new window"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Open tiddler in new window"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "palette"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Choose the colour palette"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "permalink"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Set browser address bar to a direct link to this tiddler"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "permaview"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Set browser address bar to a direct link to all the tiddlers in this story"
},
"$:/language/Buttons/Print/Caption": {
"title": "$:/language/Buttons/Print/Caption",
"text": "print page"
},
"$:/language/Buttons/Print/Hint": {
"title": "$:/language/Buttons/Print/Hint",
"text": "Print the current page"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "refresh"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Perform a full refresh of the wiki"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "ok"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Confirm changes to this tiddler"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "save changes"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Save changes"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "storyview"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Choose the story visualisation"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "hide sidebar"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Hide sidebar"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "show sidebar"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Show sidebar"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "tag manager"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Open tag manager"
},
"$:/language/Buttons/Timestamp/Caption": {
"title": "$:/language/Buttons/Timestamp/Caption",
"text": "timestamps"
},
"$:/language/Buttons/Timestamp/Hint": {
"title": "$:/language/Buttons/Timestamp/Hint",
"text": "Choose whether modifications update timestamps"
},
"$:/language/Buttons/Timestamp/On/Caption": {
"title": "$:/language/Buttons/Timestamp/On/Caption",
"text": "timestamps are on"
},
"$:/language/Buttons/Timestamp/On/Hint": {
"title": "$:/language/Buttons/Timestamp/On/Hint",
"text": "Update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Timestamp/Off/Caption": {
"title": "$:/language/Buttons/Timestamp/Off/Caption",
"text": "timestamps are off"
},
"$:/language/Buttons/Timestamp/Off/Hint": {
"title": "$:/language/Buttons/Timestamp/Off/Hint",
"text": "Don't update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "theme"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Choose the display theme"
},
"$:/language/Buttons/Bold/Caption": {
"title": "$:/language/Buttons/Bold/Caption",
"text": "bold"
},
"$:/language/Buttons/Bold/Hint": {
"title": "$:/language/Buttons/Bold/Hint",
"text": "Apply bold formatting to selection"
},
"$:/language/Buttons/Clear/Caption": {
"title": "$:/language/Buttons/Clear/Caption",
"text": "clear"
},
"$:/language/Buttons/Clear/Hint": {
"title": "$:/language/Buttons/Clear/Hint",
"text": "Clear image to solid colour"
},
"$:/language/Buttons/EditorHeight/Caption": {
"title": "$:/language/Buttons/EditorHeight/Caption",
"text": "editor height"
},
"$:/language/Buttons/EditorHeight/Caption/Auto": {
"title": "$:/language/Buttons/EditorHeight/Caption/Auto",
"text": "Automatically adjust height to fit content"
},
"$:/language/Buttons/EditorHeight/Caption/Fixed": {
"title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
"text": "Fixed height:"
},
"$:/language/Buttons/EditorHeight/Hint": {
"title": "$:/language/Buttons/EditorHeight/Hint",
"text": "Choose the height of the text editor"
},
"$:/language/Buttons/Excise/Caption": {
"title": "$:/language/Buttons/Excise/Caption",
"text": "excise"
},
"$:/language/Buttons/Excise/Caption/Excise": {
"title": "$:/language/Buttons/Excise/Caption/Excise",
"text": "Perform excision"
},
"$:/language/Buttons/Excise/Caption/MacroName": {
"title": "$:/language/Buttons/Excise/Caption/MacroName",
"text": "Macro name:"
},
"$:/language/Buttons/Excise/Caption/NewTitle": {
"title": "$:/language/Buttons/Excise/Caption/NewTitle",
"text": "Title of new tiddler:"
},
"$:/language/Buttons/Excise/Caption/Replace": {
"title": "$:/language/Buttons/Excise/Caption/Replace",
"text": "Replace excised text with:"
},
"$:/language/Buttons/Excise/Caption/Replace/Macro": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Macro",
"text": "macro"
},
"$:/language/Buttons/Excise/Caption/Replace/Link": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Link",
"text": "link"
},
"$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
"text": "transclusion"
},
"$:/language/Buttons/Excise/Caption/Tag": {
"title": "$:/language/Buttons/Excise/Caption/Tag",
"text": "Tag new tiddler with the title of this tiddler"
},
"$:/language/Buttons/Excise/Caption/TiddlerExists": {
"title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
"text": "Warning: tiddler already exists"
},
"$:/language/Buttons/Excise/Hint": {
"title": "$:/language/Buttons/Excise/Hint",
"text": "Excise the selected text into a new tiddler"
},
"$:/language/Buttons/Heading1/Caption": {
"title": "$:/language/Buttons/Heading1/Caption",
"text": "heading 1"
},
"$:/language/Buttons/Heading1/Hint": {
"title": "$:/language/Buttons/Heading1/Hint",
"text": "Apply heading level 1 formatting to lines containing selection"
},
"$:/language/Buttons/Heading2/Caption": {
"title": "$:/language/Buttons/Heading2/Caption",
"text": "heading 2"
},
"$:/language/Buttons/Heading2/Hint": {
"title": "$:/language/Buttons/Heading2/Hint",
"text": "Apply heading level 2 formatting to lines containing selection"
},
"$:/language/Buttons/Heading3/Caption": {
"title": "$:/language/Buttons/Heading3/Caption",
"text": "heading 3"
},
"$:/language/Buttons/Heading3/Hint": {
"title": "$:/language/Buttons/Heading3/Hint",
"text": "Apply heading level 3 formatting to lines containing selection"
},
"$:/language/Buttons/Heading4/Caption": {
"title": "$:/language/Buttons/Heading4/Caption",
"text": "heading 4"
},
"$:/language/Buttons/Heading4/Hint": {
"title": "$:/language/Buttons/Heading4/Hint",
"text": "Apply heading level 4 formatting to lines containing selection"
},
"$:/language/Buttons/Heading5/Caption": {
"title": "$:/language/Buttons/Heading5/Caption",
"text": "heading 5"
},
"$:/language/Buttons/Heading5/Hint": {
"title": "$:/language/Buttons/Heading5/Hint",
"text": "Apply heading level 5 formatting to lines containing selection"
},
"$:/language/Buttons/Heading6/Caption": {
"title": "$:/language/Buttons/Heading6/Caption",
"text": "heading 6"
},
"$:/language/Buttons/Heading6/Hint": {
"title": "$:/language/Buttons/Heading6/Hint",
"text": "Apply heading level 6 formatting to lines containing selection"
},
"$:/language/Buttons/Italic/Caption": {
"title": "$:/language/Buttons/Italic/Caption",
"text": "italic"
},
"$:/language/Buttons/Italic/Hint": {
"title": "$:/language/Buttons/Italic/Hint",
"text": "Apply italic formatting to selection"
},
"$:/language/Buttons/LineWidth/Caption": {
"title": "$:/language/Buttons/LineWidth/Caption",
"text": "line width"
},
"$:/language/Buttons/LineWidth/Hint": {
"title": "$:/language/Buttons/LineWidth/Hint",
"text": "Set line width for painting"
},
"$:/language/Buttons/Link/Caption": {
"title": "$:/language/Buttons/Link/Caption",
"text": "link"
},
"$:/language/Buttons/Link/Hint": {
"title": "$:/language/Buttons/Link/Hint",
"text": "Create wikitext link"
},
"$:/language/Buttons/Linkify/Caption": {
"title": "$:/language/Buttons/Linkify/Caption",
"text": "wikilink"
},
"$:/language/Buttons/Linkify/Hint": {
"title": "$:/language/Buttons/Linkify/Hint",
"text": "Wrap selection in square brackets"
},
"$:/language/Buttons/ListBullet/Caption": {
"title": "$:/language/Buttons/ListBullet/Caption",
"text": "bulleted list"
},
"$:/language/Buttons/ListBullet/Hint": {
"title": "$:/language/Buttons/ListBullet/Hint",
"text": "Apply bulleted list formatting to lines containing selection"
},
"$:/language/Buttons/ListNumber/Caption": {
"title": "$:/language/Buttons/ListNumber/Caption",
"text": "numbered list"
},
"$:/language/Buttons/ListNumber/Hint": {
"title": "$:/language/Buttons/ListNumber/Hint",
"text": "Apply numbered list formatting to lines containing selection"
},
"$:/language/Buttons/MonoBlock/Caption": {
"title": "$:/language/Buttons/MonoBlock/Caption",
"text": "monospaced block"
},
"$:/language/Buttons/MonoBlock/Hint": {
"title": "$:/language/Buttons/MonoBlock/Hint",
"text": "Apply monospaced block formatting to lines containing selection"
},
"$:/language/Buttons/MonoLine/Caption": {
"title": "$:/language/Buttons/MonoLine/Caption",
"text": "monospaced"
},
"$:/language/Buttons/MonoLine/Hint": {
"title": "$:/language/Buttons/MonoLine/Hint",
"text": "Apply monospaced character formatting to selection"
},
"$:/language/Buttons/Opacity/Caption": {
"title": "$:/language/Buttons/Opacity/Caption",
"text": "opacity"
},
"$:/language/Buttons/Opacity/Hint": {
"title": "$:/language/Buttons/Opacity/Hint",
"text": "Set painting opacity"
},
"$:/language/Buttons/Paint/Caption": {
"title": "$:/language/Buttons/Paint/Caption",
"text": "paint colour"
},
"$:/language/Buttons/Paint/Hint": {
"title": "$:/language/Buttons/Paint/Hint",
"text": "Set painting colour"
},
"$:/language/Buttons/Picture/Caption": {
"title": "$:/language/Buttons/Picture/Caption",
"text": "picture"
},
"$:/language/Buttons/Picture/Hint": {
"title": "$:/language/Buttons/Picture/Hint",
"text": "Insert picture"
},
"$:/language/Buttons/Preview/Caption": {
"title": "$:/language/Buttons/Preview/Caption",
"text": "preview"
},
"$:/language/Buttons/Preview/Hint": {
"title": "$:/language/Buttons/Preview/Hint",
"text": "Show preview pane"
},
"$:/language/Buttons/PreviewType/Caption": {
"title": "$:/language/Buttons/PreviewType/Caption",
"text": "preview type"
},
"$:/language/Buttons/PreviewType/Hint": {
"title": "$:/language/Buttons/PreviewType/Hint",
"text": "Choose preview type"
},
"$:/language/Buttons/Quote/Caption": {
"title": "$:/language/Buttons/Quote/Caption",
"text": "quote"
},
"$:/language/Buttons/Quote/Hint": {
"title": "$:/language/Buttons/Quote/Hint",
"text": "Apply quoted text formatting to lines containing selection"
},
"$:/language/Buttons/RotateLeft/Caption": {
"title": "$:/language/Buttons/RotateLeft/Caption",
"text": "rotate left"
},
"$:/language/Buttons/RotateLeft/Hint": {
"title": "$:/language/Buttons/RotateLeft/Hint",
"text": "Rotate image left by 90 degrees"
},
"$:/language/Buttons/Size/Caption": {
"title": "$:/language/Buttons/Size/Caption",
"text": "image size"
},
"$:/language/Buttons/Size/Caption/Height": {
"title": "$:/language/Buttons/Size/Caption/Height",
"text": "Height:"
},
"$:/language/Buttons/Size/Caption/Resize": {
"title": "$:/language/Buttons/Size/Caption/Resize",
"text": "Resize image"
},
"$:/language/Buttons/Size/Caption/Width": {
"title": "$:/language/Buttons/Size/Caption/Width",
"text": "Width:"
},
"$:/language/Buttons/Size/Hint": {
"title": "$:/language/Buttons/Size/Hint",
"text": "Set image size"
},
"$:/language/Buttons/Stamp/Caption": {
"title": "$:/language/Buttons/Stamp/Caption",
"text": "stamp"
},
"$:/language/Buttons/Stamp/Caption/New": {
"title": "$:/language/Buttons/Stamp/Caption/New",
"text": "Add your own"
},
"$:/language/Buttons/Stamp/Hint": {
"title": "$:/language/Buttons/Stamp/Hint",
"text": "Insert a preconfigured snippet of text"
},
"$:/language/Buttons/Stamp/New/Title": {
"title": "$:/language/Buttons/Stamp/New/Title",
"text": "Name as shown in menu"
},
"$:/language/Buttons/Stamp/New/Text": {
"title": "$:/language/Buttons/Stamp/New/Text",
"text": "Text of snippet. (Remember to add a descriptive title in the caption field)."
},
"$:/language/Buttons/Strikethrough/Caption": {
"title": "$:/language/Buttons/Strikethrough/Caption",
"text": "strikethrough"
},
"$:/language/Buttons/Strikethrough/Hint": {
"title": "$:/language/Buttons/Strikethrough/Hint",
"text": "Apply strikethrough formatting to selection"
},
"$:/language/Buttons/Subscript/Caption": {
"title": "$:/language/Buttons/Subscript/Caption",
"text": "subscript"
},
"$:/language/Buttons/Subscript/Hint": {
"title": "$:/language/Buttons/Subscript/Hint",
"text": "Apply subscript formatting to selection"
},
"$:/language/Buttons/Superscript/Caption": {
"title": "$:/language/Buttons/Superscript/Caption",
"text": "superscript"
},
"$:/language/Buttons/Superscript/Hint": {
"title": "$:/language/Buttons/Superscript/Hint",
"text": "Apply superscript formatting to selection"
},
"$:/language/Buttons/ToggleSidebar/Hint": {
"title": "$:/language/Buttons/ToggleSidebar/Hint",
"text": "Toggle the sidebar visibility"
},
"$:/language/Buttons/Transcludify/Caption": {
"title": "$:/language/Buttons/Transcludify/Caption",
"text": "transclusion"
},
"$:/language/Buttons/Transcludify/Hint": {
"title": "$:/language/Buttons/Transcludify/Hint",
"text": "Wrap selection in curly brackets"
},
"$:/language/Buttons/Underline/Caption": {
"title": "$:/language/Buttons/Underline/Caption",
"text": "underline"
},
"$:/language/Buttons/Underline/Hint": {
"title": "$:/language/Buttons/Underline/Hint",
"text": "Apply underline formatting to selection"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Advanced"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Internal information about this TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Appearance"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Ways to customise the appearance of your TiddlyWiki."
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Animation duration"
},
"$:/language/ControlPanel/Basics/AutoFocus/Prompt": {
"title": "$:/language/ControlPanel/Basics/AutoFocus/Prompt",
"text": "Default focus field for new tiddlers"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Basics"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Use [[double square brackets]] for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Default tiddlers"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Choose which tiddlers are displayed at startup"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "Hello! Current language:"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Title of new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Text/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt",
"text": "Text for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Tags for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt",
"text": "Title of new tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt",
"text": "Tags for new tiddlers"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Number of overridden shadow tiddlers"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Number of shadow tiddlers"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Subtitle"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Number of system tiddlers"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Number of tags"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Number of tiddlers"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Title of this ~TiddlyWiki"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Username for signing edits"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "~TiddlyWiki version"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Editor Types"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Editor"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "These tiddlers determine which editor is used to edit specific tiddler types."
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Type"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Info"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Information about this TiddlyWiki"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
"text": "Type shortcut here"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
"text": "add shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
"text": "Keyboard Shortcuts"
},
"$:/language/ControlPanel/KeyboardShortcuts/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
"text": "Manage keyboard shortcut assignments"
},
"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
"text": "No keyboard shortcuts assigned"
},
"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
"text": "remove keyboard shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
"text": "All platforms"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
"text": "Macintosh platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
"text": "Non-Macintosh platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
"text": "Linux platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
"text": "Non-Linux platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
"text": "Windows platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
"text": "Non-Windows platforms only"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Loaded Modules"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Palette"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "clone"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "It is recommended that you clone this shadow palette before editing it"
},
"$:/language/ControlPanel/Palette/Editor/Delete/Hint": {
"title": "$:/language/ControlPanel/Palette/Editor/Delete/Hint",
"text": "delete this entry from the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Names/External/Show": {
"title": "$:/language/ControlPanel/Palette/Editor/Names/External/Show",
"text": "Show color names that are not part of the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "This shadow palette has been modified"
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Editing"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "reset"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "hide editor"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Current palette:"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "show editor"
},
"$:/language/ControlPanel/Parsing/Caption": {
"title": "$:/language/ControlPanel/Parsing/Caption",
"text": "Parsing"
},
"$:/language/ControlPanel/Parsing/Hint": {
"title": "$:/language/ControlPanel/Parsing/Hint",
"text": "Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."
},
"$:/language/ControlPanel/Parsing/Block/Caption": {
"title": "$:/language/ControlPanel/Parsing/Block/Caption",
"text": "Block Parse Rules"
},
"$:/language/ControlPanel/Parsing/Inline/Caption": {
"title": "$:/language/ControlPanel/Parsing/Inline/Caption",
"text": "Inline Parse Rules"
},
"$:/language/ControlPanel/Parsing/Pragma/Caption": {
"title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
"text": "Pragma Parse Rules"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Get more plugins"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Install plugins from the official library"
},
"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint",
"text": "This plugin is already installed at version <$text text=<<installedVersion>>/>"
},
"$:/language/ControlPanel/Plugins/AlsoRequires": {
"title": "$:/language/ControlPanel/Plugins/AlsoRequires",
"text": "Also requires:"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "disable"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Disable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(disabled)"
},
"$:/language/ControlPanel/Plugins/Downgrade/Caption": {
"title": "$:/language/ControlPanel/Plugins/Downgrade/Caption",
"text": "downgrade"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "None"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "enable"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Enable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Install/Caption": {
"title": "$:/language/ControlPanel/Plugins/Install/Caption",
"text": "install"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Currently installed plugins:"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Languages"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Language pack plugins"
},
"$:/language/ControlPanel/Plugins/NoInfoFound/Hint": {
"title": "$:/language/ControlPanel/Plugins/NoInfoFound/Hint",
"text": "No ''\"<$text text=<<currentTab>>/>\"'' found"
},
"$:/language/ControlPanel/Plugins/NotInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/NotInstalled/Hint",
"text": "This plugin is not currently installed"
},
"$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
"text": "open plugin library"
},
"$:/language/ControlPanel/Plugins/ClosePluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/ClosePluginLibrary",
"text": "close plugin library"
},
"$:/language/ControlPanel/Plugins/PluginWillRequireReload": {
"title": "$:/language/ControlPanel/Plugins/PluginWillRequireReload",
"text": "(requires reload)"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Reinstall/Caption": {
"title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
"text": "reinstall"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Themes"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Theme plugins"
},
"$:/language/ControlPanel/Plugins/Update/Caption": {
"title": "$:/language/ControlPanel/Plugins/Update/Caption",
"text": "update"
},
"$:/language/ControlPanel/Plugins/Updates/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/Caption",
"text": "Updates"
},
"$:/language/ControlPanel/Plugins/Updates/Hint": {
"title": "$:/language/ControlPanel/Plugins/Updates/Hint",
"text": "Available updates to installed plugins"
},
"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption",
"text": "Update <<update-count>> plugins"
},
"$:/language/ControlPanel/Plugins/SubPluginPrompt": {
"title": "$:/language/ControlPanel/Plugins/SubPluginPrompt",
"text": "With <<count>> sub-plugins available"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Saving"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description",
"text": "Permit automatic saving for the download saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint",
"text": "Enable Autosave for Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Caption": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Caption",
"text": "Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Hint",
"text": "These settings apply to the HTML5-compatible download saver"
},
"$:/language/ControlPanel/Saving/General/Caption": {
"title": "$:/language/ControlPanel/Saving/General/Caption",
"text": "General"
},
"$:/language/ControlPanel/Saving/General/Hint": {
"title": "$:/language/ControlPanel/Saving/General/Hint",
"text": "These settings apply to all the loaded savers"
},
"$:/language/ControlPanel/Saving/Hint": {
"title": "$:/language/ControlPanel/Saving/Hint",
"text": "Settings used for saving the entire TiddlyWiki as a single file via a saver module"
},
"$:/language/ControlPanel/Saving/GitService/Branch": {
"title": "$:/language/ControlPanel/Saving/GitService/Branch",
"text": "Target branch for saving"
},
"$:/language/ControlPanel/Saving/GitService/CommitMessage": {
"title": "$:/language/ControlPanel/Saving/GitService/CommitMessage",
"text": "Saved by TiddlyWiki"
},
"$:/language/ControlPanel/Saving/GitService/Description": {
"title": "$:/language/ControlPanel/Saving/GitService/Description",
"text": "These settings are only used when saving to <<service-name>>"
},
"$:/language/ControlPanel/Saving/GitService/Filename": {
"title": "$:/language/ControlPanel/Saving/GitService/Filename",
"text": "Filename of target file (e.g. `index.html`)"
},
"$:/language/ControlPanel/Saving/GitService/Path": {
"title": "$:/language/ControlPanel/Saving/GitService/Path",
"text": "Path to target file (e.g. `/wiki/`)"
},
"$:/language/ControlPanel/Saving/GitService/Repo": {
"title": "$:/language/ControlPanel/Saving/GitService/Repo",
"text": "Target repository (e.g. `Jermolene/TiddlyWiki5`)"
},
"$:/language/ControlPanel/Saving/GitService/ServerURL": {
"title": "$:/language/ControlPanel/Saving/GitService/ServerURL",
"text": "Server API URL"
},
"$:/language/ControlPanel/Saving/GitService/UserName": {
"title": "$:/language/ControlPanel/Saving/GitService/UserName",
"text": "Username"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Caption",
"text": "~GitHub Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Password",
"text": "Password, OAUTH token, or personal access token (see [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Caption",
"text": "~GitLab Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Password",
"text": "Personal access token for API (see [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Caption",
"text": "Gitea Saver"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Password",
"text": "Personal access token for API (via Gitea’s web interface: `Settings | Applications | Generate New Token`)"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Advanced Settings"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Backup Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Backups"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Caption": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Caption",
"text": "~TiddlySpot Saver"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Upload Filename"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Password"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "Server URL"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Upload Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Wiki Name"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Autosave"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "Do not save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Attempt to automatically save changes during editing when using a supporting saver"
},
"$:/language/ControlPanel/Settings/CamelCase/Caption": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
"text": "Camel Case Wiki Links"
},
"$:/language/ControlPanel/Settings/CamelCase/Hint": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
"text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/CamelCase/Description": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Description",
"text": "Enable automatic ~CamelCase linking"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Settings"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Hint",
"text": "Enable or disable the editor toolbar:"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Description": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Description",
"text": "Show editor toolbar"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Caption": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Caption",
"text": "Tiddler Info Panel Mode"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Hint": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Hint",
"text": "Control when the tiddler info panel closes:"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description",
"text": "Tiddler info panel closes automatically"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description",
"text": "Tiddler info panel stays open until explicitly closed"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "These settings let you customise the behaviour of TiddlyWiki."
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Navigation Address Bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Behaviour of the browser address bar when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "Do not update the address bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Include the target tiddler"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Include the target tiddler and the current story sequence"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "Navigation History"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Update browser history when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "Do not update history"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Update history"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption",
"text": "Permalink/permaview Mode"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint",
"text": "Choose how permalink/permaview is handled:"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description",
"text": "Copy permalink/permaview URL to clipboard"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description",
"text": "Update address bar with permalink/permaview URL"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
"text": "Performance Instrumentation"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
"text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
"text": "Enable performance instrumentation"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Toolbar Button Style"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Choose the style for toolbar buttons:"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Borderless"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Boxed"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Rounded"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Toolbar Buttons"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Default toolbar button appearance:"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Include icon"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Include text"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Default Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Specify which sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption",
"text": "Default More Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint",
"text": "Specify which More sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Tiddler Opening Behaviour"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "Navigation from //within// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "Navigation from //outside// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Open above the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Open below the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Open at the top of the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Open at the bottom of the story river"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Tiddler Titles"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Optionally display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "Do not display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Caption",
"text": "Wiki Links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Hint",
"text": "Choose whether to link to tiddlers that do not exist yet"
},
"$:/language/ControlPanel/Settings/MissingLinks/Description": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Description",
"text": "Enable links to missing tiddlers"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Story View"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Current view:"
},
"$:/language/ControlPanel/Stylesheets/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Caption",
"text": "Stylesheets"
},
"$:/language/ControlPanel/Stylesheets/Expand/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Expand/Caption",
"text": "Expand All"
},
"$:/language/ControlPanel/Stylesheets/Hint": {
"title": "$:/language/ControlPanel/Stylesheets/Hint",
"text": "This is the rendered CSS of the current stylesheet tiddlers tagged with <<tag \"$:/tags/Stylesheet\">>"
},
"$:/language/ControlPanel/Stylesheets/Restore/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Restore/Caption",
"text": "Restore"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Theme"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Current theme:"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Tiddler Fields"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Toolbars"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "Edit Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in edit mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Select which toolbar buttons are displayed"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Page Toolbar"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Choose which buttons are displayed on the main page toolbar. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint",
"text": "Choose which buttons are displayed in the editor toolbar. Note that some buttons will only appear when editing tiddlers of a certain type. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "View Toolbar"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in view mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Download full wiki"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "st"
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": "nd"
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": "rd"
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": "th"
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": "th"
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": "th"
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": "th"
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": "th"
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": "th"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": "th"
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": "th"
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": "th"
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": "th"
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": "th"
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": "th"
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": "th"
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": "th"
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": "th"
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": "th"
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": "th"
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": "st"
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": "nd"
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": "rd"
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": "th"
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": "th"
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": "th"
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": "th"
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": "th"
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": "th"
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": "th"
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": "st"
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "Sunday"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "Monday"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "Tuesday"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "Wednesday"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "Thursday"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "Friday"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "Saturday"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "January"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "February"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "March"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "April"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "May"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "June"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "July"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "August"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "September"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "October"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "November"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "December"
},
"$:/language/Date/Period/am": {
"title": "$:/language/Date/Period/am",
"text": "am"
},
"$:/language/Date/Period/pm": {
"title": "$:/language/Date/Period/pm",
"text": "pm"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Sun"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Mon"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Tue"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Wed"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Thu"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Fri"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Sat"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "Jan"
},
"$:/language/Date/Short/Month/2": {
"title": "$:/language/Date/Short/Month/2",
"text": "Feb"
},
"$:/language/Date/Short/Month/3": {
"title": "$:/language/Date/Short/Month/3",
"text": "Mar"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "Apr"
},
"$:/language/Date/Short/Month/5": {
"title": "$:/language/Date/Short/Month/5",
"text": "May"
},
"$:/language/Date/Short/Month/6": {
"title": "$:/language/Date/Short/Month/6",
"text": "Jun"
},
"$:/language/Date/Short/Month/7": {
"title": "$:/language/Date/Short/Month/7",
"text": "Jul"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "Aug"
},
"$:/language/Date/Short/Month/9": {
"title": "$:/language/Date/Short/Month/9",
"text": "Sep"
},
"$:/language/Date/Short/Month/10": {
"title": "$:/language/Date/Short/Month/10",
"text": "Oct"
},
"$:/language/Date/Short/Month/11": {
"title": "$:/language/Date/Short/Month/11",
"text": "Nov"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "Dec"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "<<period>> days from now"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "<<period>> hours from now"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "<<period>> minutes from now"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "<<period>> months from now"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "1 second from now"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "<<period>> seconds from now"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "<<period>> years from now"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "<<period>> days ago"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "<<period>> hours ago"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "<<period>> minutes ago"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "<<period>> months ago"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "1 second ago"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "<<period>> seconds ago"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "<<period>> years ago"
},
"$:/language/Docs/ModuleTypes/allfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/allfilteroperator",
"text": "A sub-operator for the ''all'' filter operator."
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Animations that may be used with the RevealWidget."
},
"$:/language/Docs/ModuleTypes/authenticator": {
"title": "$:/language/Docs/ModuleTypes/authenticator",
"text": "Defines how requests are authenticated by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/bitmapeditoroperation": {
"title": "$:/language/Docs/ModuleTypes/bitmapeditoroperation",
"text": "A bitmap editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Commands that can be executed under Node.js."
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Data to be inserted into `$tw.config`."
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Individual filter operator methods."
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Global data to be inserted into `$tw`."
},
"$:/language/Docs/ModuleTypes/info": {
"title": "$:/language/Docs/ModuleTypes/info",
"text": "Publishes system information via the [[$:/temp/info-plugin]] pseudo-plugin."
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Operands for the ''is'' filter operator."
},
"$:/language/Docs/ModuleTypes/library": {
"title": "$:/language/Docs/ModuleTypes/library",
"text": "Generic module type for general purpose JavaScript modules."
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "JavaScript macro definitions."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Parsers for different content types."
},
"$:/language/Docs/ModuleTypes/route": {
"title": "$:/language/Docs/ModuleTypes/route",
"text": "Defines how individual URL patterns are handled by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Savers handle different methods for saving files from the browser."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Startup functions."
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Story views customise the animation and behaviour of list widgets."
},
"$:/language/Docs/ModuleTypes/texteditoroperation": {
"title": "$:/language/Docs/ModuleTypes/texteditoroperation",
"text": "A text editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Converts different content types into tiddlers."
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Defines the behaviour of an individual tiddler field."
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Adds methods to the `$tw.Tiddler` prototype."
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Applies upgrade processing to tiddlers during an upgrade/import."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Adds methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Adds Node.js-specific methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Widgets encapsulate DOM rendering and refreshing."
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Adds methods to `$tw.Wiki`."
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Individual parser rules for the main WikiText parser."
},
"$:/language/Docs/PaletteColours/alert-background": {
"title": "$:/language/Docs/PaletteColours/alert-background",
"text": "Alert background"
},
"$:/language/Docs/PaletteColours/alert-border": {
"title": "$:/language/Docs/PaletteColours/alert-border",
"text": "Alert border"
},
"$:/language/Docs/PaletteColours/alert-highlight": {
"title": "$:/language/Docs/PaletteColours/alert-highlight",
"text": "Alert highlight"
},
"$:/language/Docs/PaletteColours/alert-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
"text": "Alert muted foreground"
},
"$:/language/Docs/PaletteColours/background": {
"title": "$:/language/Docs/PaletteColours/background",
"text": "General background"
},
"$:/language/Docs/PaletteColours/blockquote-bar": {
"title": "$:/language/Docs/PaletteColours/blockquote-bar",
"text": "Blockquote bar"
},
"$:/language/Docs/PaletteColours/button-background": {
"title": "$:/language/Docs/PaletteColours/button-background",
"text": "Default button background"
},
"$:/language/Docs/PaletteColours/button-border": {
"title": "$:/language/Docs/PaletteColours/button-border",
"text": "Default button border"
},
"$:/language/Docs/PaletteColours/button-foreground": {
"title": "$:/language/Docs/PaletteColours/button-foreground",
"text": "Default button foreground"
},
"$:/language/Docs/PaletteColours/dirty-indicator": {
"title": "$:/language/Docs/PaletteColours/dirty-indicator",
"text": "Unsaved changes indicator"
},
"$:/language/Docs/PaletteColours/code-background": {
"title": "$:/language/Docs/PaletteColours/code-background",
"text": "Code background"
},
"$:/language/Docs/PaletteColours/code-border": {
"title": "$:/language/Docs/PaletteColours/code-border",
"text": "Code border"
},
"$:/language/Docs/PaletteColours/code-foreground": {
"title": "$:/language/Docs/PaletteColours/code-foreground",
"text": "Code foreground"
},
"$:/language/Docs/PaletteColours/download-background": {
"title": "$:/language/Docs/PaletteColours/download-background",
"text": "Download button background"
},
"$:/language/Docs/PaletteColours/download-foreground": {
"title": "$:/language/Docs/PaletteColours/download-foreground",
"text": "Download button foreground"
},
"$:/language/Docs/PaletteColours/dragger-background": {
"title": "$:/language/Docs/PaletteColours/dragger-background",
"text": "Dragger background"
},
"$:/language/Docs/PaletteColours/dragger-foreground": {
"title": "$:/language/Docs/PaletteColours/dragger-foreground",
"text": "Dragger foreground"
},
"$:/language/Docs/PaletteColours/dropdown-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-background",
"text": "Dropdown background"
},
"$:/language/Docs/PaletteColours/dropdown-border": {
"title": "$:/language/Docs/PaletteColours/dropdown-border",
"text": "Dropdown border"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
"text": "Dropdown tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
"text": "Dropdown tab background"
},
"$:/language/Docs/PaletteColours/dropzone-background": {
"title": "$:/language/Docs/PaletteColours/dropzone-background",
"text": "Dropzone background"
},
"$:/language/Docs/PaletteColours/external-link-background-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-background-hover",
"text": "External link background hover"
},
"$:/language/Docs/PaletteColours/external-link-background-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-background-visited",
"text": "External link background visited"
},
"$:/language/Docs/PaletteColours/external-link-background": {
"title": "$:/language/Docs/PaletteColours/external-link-background",
"text": "External link background"
},
"$:/language/Docs/PaletteColours/external-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
"text": "External link foreground hover"
},
"$:/language/Docs/PaletteColours/external-link-foreground-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
"text": "External link foreground visited"
},
"$:/language/Docs/PaletteColours/external-link-foreground": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground",
"text": "External link foreground"
},
"$:/language/Docs/PaletteColours/foreground": {
"title": "$:/language/Docs/PaletteColours/foreground",
"text": "General foreground"
},
"$:/language/Docs/PaletteColours/menubar-background": {
"title": "$:/language/Docs/PaletteColours/menubar-background",
"text": "Menu bar background"
},
"$:/language/Docs/PaletteColours/menubar-foreground": {
"title": "$:/language/Docs/PaletteColours/menubar-foreground",
"text": "Menu bar foreground"
},
"$:/language/Docs/PaletteColours/message-background": {
"title": "$:/language/Docs/PaletteColours/message-background",
"text": "Message box background"
},
"$:/language/Docs/PaletteColours/message-border": {
"title": "$:/language/Docs/PaletteColours/message-border",
"text": "Message box border"
},
"$:/language/Docs/PaletteColours/message-foreground": {
"title": "$:/language/Docs/PaletteColours/message-foreground",
"text": "Message box foreground"
},
"$:/language/Docs/PaletteColours/modal-backdrop": {
"title": "$:/language/Docs/PaletteColours/modal-backdrop",
"text": "Modal backdrop"
},
"$:/language/Docs/PaletteColours/modal-background": {
"title": "$:/language/Docs/PaletteColours/modal-background",
"text": "Modal background"
},
"$:/language/Docs/PaletteColours/modal-border": {
"title": "$:/language/Docs/PaletteColours/modal-border",
"text": "Modal border"
},
"$:/language/Docs/PaletteColours/modal-footer-background": {
"title": "$:/language/Docs/PaletteColours/modal-footer-background",
"text": "Modal footer background"
},
"$:/language/Docs/PaletteColours/modal-footer-border": {
"title": "$:/language/Docs/PaletteColours/modal-footer-border",
"text": "Modal footer border"
},
"$:/language/Docs/PaletteColours/modal-header-border": {
"title": "$:/language/Docs/PaletteColours/modal-header-border",
"text": "Modal header border"
},
"$:/language/Docs/PaletteColours/muted-foreground": {
"title": "$:/language/Docs/PaletteColours/muted-foreground",
"text": "General muted foreground"
},
"$:/language/Docs/PaletteColours/notification-background": {
"title": "$:/language/Docs/PaletteColours/notification-background",
"text": "Notification background"
},
"$:/language/Docs/PaletteColours/notification-border": {
"title": "$:/language/Docs/PaletteColours/notification-border",
"text": "Notification border"
},
"$:/language/Docs/PaletteColours/page-background": {
"title": "$:/language/Docs/PaletteColours/page-background",
"text": "Page background"
},
"$:/language/Docs/PaletteColours/pre-background": {
"title": "$:/language/Docs/PaletteColours/pre-background",
"text": "Preformatted code background"
},
"$:/language/Docs/PaletteColours/pre-border": {
"title": "$:/language/Docs/PaletteColours/pre-border",
"text": "Preformatted code border"
},
"$:/language/Docs/PaletteColours/primary": {
"title": "$:/language/Docs/PaletteColours/primary",
"text": "General primary"
},
"$:/language/Docs/PaletteColours/select-tag-background": {
"title": "$:/language/Docs/PaletteColours/select-tag-background",
"text": "`<select>` element background"
},
"$:/language/Docs/PaletteColours/select-tag-foreground": {
"title": "$:/language/Docs/PaletteColours/select-tag-foreground",
"text": "`<select>` element text"
},
"$:/language/Docs/PaletteColours/sidebar-button-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
"text": "Sidebar button foreground"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
"text": "Sidebar controls foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
"text": "Sidebar controls foreground"
},
"$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
"text": "Sidebar foreground shadow"
},
"$:/language/Docs/PaletteColours/sidebar-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground",
"text": "Sidebar foreground"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
"text": "Sidebar muted foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
"text": "Sidebar muted foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
"text": "Sidebar tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
"text": "Sidebar tab background"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
"text": "Sidebar tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
"text": "Sidebar tab border"
},
"$:/language/Docs/PaletteColours/sidebar-tab-divider": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
"text": "Sidebar tab divider"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
"text": "Sidebar tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
"text": "Sidebar tab foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
"text": "Sidebar tiddler link foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
"text": "Sidebar tiddler link foreground"
},
"$:/language/Docs/PaletteColours/site-title-foreground": {
"title": "$:/language/Docs/PaletteColours/site-title-foreground",
"text": "Site title foreground"
},
"$:/language/Docs/PaletteColours/static-alert-foreground": {
"title": "$:/language/Docs/PaletteColours/static-alert-foreground",
"text": "Static alert foreground"
},
"$:/language/Docs/PaletteColours/tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/tab-background-selected",
"text": "Tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-background": {
"title": "$:/language/Docs/PaletteColours/tab-background",
"text": "Tab background"
},
"$:/language/Docs/PaletteColours/tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/tab-border-selected",
"text": "Tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-border": {
"title": "$:/language/Docs/PaletteColours/tab-border",
"text": "Tab border"
},
"$:/language/Docs/PaletteColours/tab-divider": {
"title": "$:/language/Docs/PaletteColours/tab-divider",
"text": "Tab divider"
},
"$:/language/Docs/PaletteColours/tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
"text": "Tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-foreground": {
"title": "$:/language/Docs/PaletteColours/tab-foreground",
"text": "Tab foreground"
},
"$:/language/Docs/PaletteColours/table-border": {
"title": "$:/language/Docs/PaletteColours/table-border",
"text": "Table border"
},
"$:/language/Docs/PaletteColours/table-footer-background": {
"title": "$:/language/Docs/PaletteColours/table-footer-background",
"text": "Table footer background"
},
"$:/language/Docs/PaletteColours/table-header-background": {
"title": "$:/language/Docs/PaletteColours/table-header-background",
"text": "Table header background"
},
"$:/language/Docs/PaletteColours/tag-background": {
"title": "$:/language/Docs/PaletteColours/tag-background",
"text": "Tag background"
},
"$:/language/Docs/PaletteColours/tag-foreground": {
"title": "$:/language/Docs/PaletteColours/tag-foreground",
"text": "Tag foreground"
},
"$:/language/Docs/PaletteColours/tiddler-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-background",
"text": "Tiddler background"
},
"$:/language/Docs/PaletteColours/tiddler-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-border",
"text": "Tiddler border"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
"text": "Tiddler controls foreground hover"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
"text": "Tiddler controls foreground for selected controls"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
"text": "Tiddler controls foreground"
},
"$:/language/Docs/PaletteColours/tiddler-editor-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
"text": "Tiddler editor background"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
"text": "Tiddler editor border image"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
"text": "Tiddler editor border"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
"text": "Tiddler editor background for even fields"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
"text": "Tiddler editor background for odd fields"
},
"$:/language/Docs/PaletteColours/tiddler-info-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-background",
"text": "Tiddler info panel background"
},
"$:/language/Docs/PaletteColours/tiddler-info-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-border",
"text": "Tiddler info panel border"
},
"$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
"text": "Tiddler info panel tab background"
},
"$:/language/Docs/PaletteColours/tiddler-link-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-background",
"text": "Tiddler link background"
},
"$:/language/Docs/PaletteColours/tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
"text": "Tiddler link foreground"
},
"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
"text": "Tiddler subtitle foreground"
},
"$:/language/Docs/PaletteColours/tiddler-title-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
"text": "Tiddler title foreground"
},
"$:/language/Docs/PaletteColours/toolbar-new-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-new-button",
"text": "Toolbar 'new tiddler' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-options-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-options-button",
"text": "Toolbar 'options' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-save-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-save-button",
"text": "Toolbar 'save' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-info-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-info-button",
"text": "Toolbar 'info' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-edit-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
"text": "Toolbar 'edit' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-close-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-close-button",
"text": "Toolbar 'close' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-delete-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
"text": "Toolbar 'delete' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-cancel-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
"text": "Toolbar 'cancel' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-done-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-done-button",
"text": "Toolbar 'done' button foreground"
},
"$:/language/Docs/PaletteColours/untagged-background": {
"title": "$:/language/Docs/PaletteColours/untagged-background",
"text": "Untagged pill background"
},
"$:/language/Docs/PaletteColours/very-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/very-muted-foreground",
"text": "Very muted foreground"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Type the text for this tiddler"
},
"$:/language/EditTemplate/Body/Preview/Type/Output": {
"title": "$:/language/EditTemplate/Body/Preview/Type/Output",
"text": "output"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "remove field"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Remove field"
},
"$:/language/EditTemplate/Field/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Field/Dropdown/Caption",
"text": "field list"
},
"$:/language/EditTemplate/Field/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Field/Dropdown/Hint",
"text": "Show field list"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Fields/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Fields/Add/Button/Hint",
"text": "Add the new field to the tiddler"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "field name"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Add a new field:"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "field value"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "System fields"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "User fields"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Tags/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Tags/Add/Button/Hint",
"text": "add tag"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "tag name"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "tag list"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Show tag list"
},
"$:/language/EditTemplate/Title/BadCharacterWarning": {
"title": "$:/language/EditTemplate/Title/BadCharacterWarning",
"text": "Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"
},
"$:/language/EditTemplate/Title/Exists/Prompt": {
"title": "$:/language/EditTemplate/Title/Exists/Prompt",
"text": "Target tiddler already exists"
},
"$:/language/EditTemplate/Title/Relink/Prompt": {
"title": "$:/language/EditTemplate/Title/Relink/Prompt",
"text": "Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"
},
"$:/language/EditTemplate/Title/References/Prompt": {
"title": "$:/language/EditTemplate/Title/References/Prompt",
"text": "The following references to this tiddler will not be automatically updated:"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "content type list"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Show content type list"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "delete content type"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Delete content type"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "content type"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Type:"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Static HTML"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "JSON file"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "CSV file"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "\".tid\" file"
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "The full URI of an external image tiddler"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "The name of the bag from which a tiddler came"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "The text to be displayed on a tab or button"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "The CSS color value associated with a tiddler"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "The date a tiddler was created"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "The name of the person who created a tiddler"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "For a plugin, lists the dependent plugin titles"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "The descriptive text for a plugin, or a modal dialogue"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "For draft tiddlers, contains the proposed new title of the tiddler"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "The footer text for a wizard"
},
"$:/language/Docs/Fields/hide-body": {
"title": "$:/language/Docs/Fields/hide-body",
"text": "The view template will hide bodies of tiddlers if set to: ''yes''"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "The title of the tiddler containing the icon associated with a tiddler"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "Indicates that a tiddler should be saved as a JavaScript library if set to: ''yes''"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "An ordered list of tiddler titles associated with a tiddler"
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles, or at the end of the list if this field is present but empty"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "The date and time at which a tiddler was last modified"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "The tiddler title associated with the person who last modified a tiddler"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "The human readable name associated with a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "A numerical value indicating the priority of a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "The type of plugin in a plugin tiddler"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "The revision of the tiddler held at the server"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Date of a TiddlyWiki release"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "The source URL associated with a tiddler"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "The subtitle text for a wizard"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "A list of tags associated with a tiddler"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "The body text of a tiddler"
},
"$:/language/Docs/Fields/throttle.refresh": {
"title": "$:/language/Docs/Fields/throttle.refresh",
"text": "If present, throttles refreshes of this tiddler"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "The unique name of a tiddler"
},
"$:/language/Docs/Fields/toc-link": {
"title": "$:/language/Docs/Fields/toc-link",
"text": "Suppresses the tiddler's link in a Table of Contents tree if set to: ''no''"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "The content type of a tiddler"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Version information for a plugin"
},
"$:/language/Docs/Fields/_is_skinny": {
"title": "$:/language/Docs/Fields/_is_skinny",
"text": "If present, indicates that the tiddler text field must be loaded from the server"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "All tiddlers except system tiddlers"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Recently modified tiddlers, including system tiddlers"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Recently modified tiddlers"
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "All tags except system tags"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Missing tiddlers"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Draft tiddlers"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Orphan tiddlers"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "System tiddlers"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Shadow tiddlers"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Overridden shadow tiddlers"
},
"$:/language/Filters/SessionTiddlers": {
"title": "$:/language/Filters/SessionTiddlers",
"text": "Tiddlers modified since the wiki was loaded"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "System tags"
},
"$:/language/Filters/StoryList": {
"title": "$:/language/Filters/StoryList",
"text": "Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Non wiki-text tiddlers"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is vital to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
},
"$:/language/Help/build": {
"title": "$:/language/Help/build",
"description": "Automatically run configured commands",
"text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
},
"$:/language/Help/clearpassword": {
"title": "$:/language/Help/clearpassword",
"description": "Clear a password for subsequent crypto operations",
"text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
},
"$:/language/Help/default": {
"title": "$:/language/Help/default",
"text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
},
"$:/language/Help/deletetiddlers": {
"title": "$:/language/Help/deletetiddlers",
"description": "Deletes a group of tiddlers",
"text": "<<.from-version \"5.1.20\">> Deletes a group of tiddlers identified by a filter.\n\n```\n--deletetiddlers <filter>\n```\n"
},
"$:/language/Help/editions": {
"title": "$:/language/Help/editions",
"description": "Lists the available editions of TiddlyWiki",
"text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
},
"$:/language/Help/fetch": {
"title": "$:/language/Help/fetch",
"description": "Fetch tiddlers from wiki by URL",
"text": "Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"
},
"$:/language/Help/help": {
"title": "$:/language/Help/help",
"description": "Display help for TiddlyWiki commands",
"text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
},
"$:/language/Help/import": {
"title": "$:/language/Help/import",
"description": "Import tiddlers from a file",
"text": "Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"
},
"$:/language/Help/init": {
"title": "$:/language/Help/init",
"description": "Initialise a new wiki folder",
"text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
},
"$:/language/Help/listen": {
"title": "$:/language/Help/listen",
"description": "Provides an HTTP server interface to TiddlyWiki",
"text": "Serves a wiki over HTTP.\n\nThe listen command uses NamedCommandParameters:\n\n```\n--listen [<name>=<value>]...\n```\n\nAll parameters are optional with safe defaults, and can be specified in any order. The recognised parameters are:\n\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''credentials'' - pathname of credentials CSV file (relative to wiki folder)\n* ''anon-username'' - the username for signing edits for anonymous users\n* ''username'' - optional username for basic authentication\n* ''password'' - optional password for basic authentication\n* ''authenticated-user-header'' - optional name of header to be used for trusted authentication\n* ''readers'' - comma separated list of principals allowed to read from this wiki\n* ''writers'' - comma separated list of principals allowed to write to this wiki\n* ''csrf-disable'' - set to \"yes\" to disable CSRF checks (defaults to \"no\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''tls-cert'' - pathname of TLS certificate file (relative to wiki folder)\n* ''tls-key'' - pathname of TLS key file (relative to wiki folder)\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n* ''gzip'' - set to \"yes\" to enable gzip compression for some http endpoints (defaults to \"no\")\n\nFor information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\n"
},
"$:/language/Help/load": {
"title": "$:/language/Help/load",
"description": "Load tiddlers from a file",
"text": "Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nBy default, the load command raises an error if no tiddlers are found. The error can be suppressed by providing the optional \"noerror\" parameter.\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
},
"$:/language/Help/makelibrary": {
"title": "$:/language/Help/makelibrary",
"description": "Construct library plugin required by upgrade process",
"text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
},
"$:/language/Help/notfound": {
"title": "$:/language/Help/notfound",
"text": "No such help item"
},
"$:/language/Help/output": {
"title": "$:/language/Help/output",
"description": "Set the base output directory for subsequent commands",
"text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
},
"$:/language/Help/password": {
"title": "$:/language/Help/password",
"description": "Set a password for subsequent crypto operations",
"text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
},
"$:/language/Help/render": {
"title": "$:/language/Help/render",
"description": "Renders individual tiddlers to files",
"text": "Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [<name>] [<value>]\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''template'': Optional template through which each tiddler is rendered\n* ''name'': Name of optional variable\n* ''value'': Value of optional variable\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render \"[!is[system]]\" \"[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]\"` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n\n"
},
"$:/language/Help/rendertiddler": {
"title": "$:/language/Help/rendertiddler",
"description": "Render an individual tiddler as a specified ContentType",
"text": "(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"
},
"$:/language/Help/rendertiddlers": {
"title": "$:/language/Help/rendertiddlers",
"description": "Render tiddlers matching a filter to a specified ContentType",
"text": "(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers <filter> <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers [!is[system]] $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
},
"$:/language/Help/save": {
"title": "$:/language/Help/save",
"description": "Saves individual raw tiddlers to files",
"text": "Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"
},
"$:/language/Help/savetiddler": {
"title": "$:/language/Help/savetiddler",
"description": "Saves a raw tiddler to a file",
"text": "(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
},
"$:/language/Help/savetiddlers": {
"title": "$:/language/Help/savetiddlers",
"description": "Saves a group of raw tiddlers to a directory",
"text": "(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
},
"$:/language/Help/savewikifolder": {
"title": "$:/language/Help/savewikifolder",
"description": "Saves a wiki to a new wiki folder",
"text": "<<.from-version \"5.1.20\">> Saves the current wiki as a wiki folder, including tiddlers, plugins and configuration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>]\n```\n\n* The target wiki folder must be empty or non-existent\n* The filter specifies which tiddlers should be included. It is optional, defaulting to `[all[tiddlers]]`\n* Plugins from the official plugin library are replaced with references to those plugins in the `tiddlywiki.info` file\n* Custom plugins are unpacked into their own folder\n\nA common usage is to convert a TiddlyWiki HTML file into a wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n"
},
"$:/language/Help/server": {
"title": "$:/language/Help/server",
"description": "Provides an HTTP server interface to TiddlyWiki (deprecated in favour of the new listen command)",
"text": "Legacy command to serve a wiki over HTTP.\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nThe parameters are:\n\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation should only be used on a trusted network or over HTTPS.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password.\n\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nUsing an address like this exposes your system to the local network. For information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port. It can be useful to use an environment variable to pass the port number to the Node.js process. This example references an environment variable called \"MY_PORT_NUMBER\":\n\n```\n--server MY_PORT_NUMBER $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n"
},
"$:/language/Help/setfield": {
"title": "$:/language/Help/setfield",
"description": "Prepares external tiddlers for use",
"text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
},
"$:/language/Help/unpackplugin": {
"title": "$:/language/Help/unpackplugin",
"description": "Unpack the payload tiddlers from a plugin",
"text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
},
"$:/language/Help/verbose": {
"title": "$:/language/Help/verbose",
"description": "Triggers verbose output mode",
"text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
},
"$:/language/Help/version": {
"title": "$:/language/Help/version",
"description": "Displays the version number of TiddlyWiki",
"text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
},
"$:/language/Import/Imported/Hint": {
"title": "$:/language/Import/Imported/Hint",
"text": "The following tiddlers were imported:"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Cancel"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "These tiddlers are ready to import:"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Import"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Select"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Status"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Title"
},
"$:/language/Import/Listing/Preview": {
"title": "$:/language/Import/Listing/Preview",
"text": "Preview:"
},
"$:/language/Import/Listing/Preview/Text": {
"title": "$:/language/Import/Listing/Preview/Text",
"text": "Text"
},
"$:/language/Import/Listing/Preview/TextRaw": {
"title": "$:/language/Import/Listing/Preview/TextRaw",
"text": "Text (Raw)"
},
"$:/language/Import/Listing/Preview/Fields": {
"title": "$:/language/Import/Listing/Preview/Fields",
"text": "Fields"
},
"$:/language/Import/Listing/Preview/Diff": {
"title": "$:/language/Import/Listing/Preview/Diff",
"text": "Diff"
},
"$:/language/Import/Listing/Preview/DiffFields": {
"title": "$:/language/Import/Listing/Preview/DiffFields",
"text": "Diff (Fields)"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Blocked incompatible or obsolete plugin"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Blocked plugin (due to incoming <<incoming>> being older than existing <<existing>>)"
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Upgraded plugin from <<incoming>> to <<upgraded>>"
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Blocked temporary state tiddler"
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Blocked system tiddler"
},
"$:/language/Import/Upgrader/System/Warning": {
"title": "$:/language/Import/Upgrader/System/Warning",
"text": "Core module tiddler"
},
"$:/language/Import/Upgrader/System/Alert": {
"title": "$:/language/Import/Upgrader/System/Alert",
"text": "You are about to import a tiddler that will overwrite a core module tiddler. This is not recommended as it may make the system unstable"
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Migrated theme tweak from <$text text=<<from>>/>"
},
"$:/language/AboveStory/ClassicPlugin/Warning": {
"title": "$:/language/AboveStory/ClassicPlugin/Warning",
"text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "This tiddler contains binary data"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "upgrade"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "close all"
},
"$:/language/ColourPicker/Recent": {
"title": "$:/language/ColourPicker/Recent",
"text": "Recent:"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
},
"$:/language/Count": {
"title": "$:/language/Count",
"text": "count"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "New Tiddler"
},
"$:/language/Diffs/CountMessage": {
"title": "$:/language/Diffs/CountMessage",
"text": "<<diff-count>> differences"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Drop here (or use the 'Escape' key to cancel)"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Cancel"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Set a new password for this TiddlyWiki"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Username"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Password"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Repeat password"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Passwords do not match"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Set password"
},
"$:/language/Error/Caption": {
"title": "$:/language/Error/Caption",
"text": "Error"
},
"$:/language/Error/EditConflict": {
"title": "$:/language/Error/EditConflict",
"text": "File changed on server"
},
"$:/language/Error/Filter": {
"title": "$:/language/Error/Filter",
"text": "Filter error"
},
"$:/language/Error/FilterSyntax": {
"title": "$:/language/Error/FilterSyntax",
"text": "Syntax error in filter expression"
},
"$:/language/Error/IsFilterOperator": {
"title": "$:/language/Error/IsFilterOperator",
"text": "Filter Error: Unknown operand for the 'is' filter operator"
},
"$:/language/Error/LoadingPluginLibrary": {
"title": "$:/language/Error/LoadingPluginLibrary",
"text": "Error loading plugin library"
},
"$:/language/Error/NetworkErrorAlert": {
"title": "$:/language/Error/NetworkErrorAlert",
"text": "`<h2>''Network Error''</h2>It looks like the connection to the server has been lost. This may indicate a problem with your network connection. Please attempt to restore network connectivity before continuing.<br><br>''Any unsaved changes will be automatically synchronised when connectivity is restored''.`"
},
"$:/language/Error/RecursiveTransclusion": {
"title": "$:/language/Error/RecursiveTransclusion",
"text": "Recursive transclusion error in transclude widget"
},
"$:/language/Error/RetrievingSkinny": {
"title": "$:/language/Error/RetrievingSkinny",
"text": "Error retrieving skinny tiddler list"
},
"$:/language/Error/SavingToTWEdit": {
"title": "$:/language/Error/SavingToTWEdit",
"text": "Error saving to TWEdit"
},
"$:/language/Error/WhileSaving": {
"title": "$:/language/Error/WhileSaving",
"text": "Error while saving"
},
"$:/language/Error/XMLHttpRequest": {
"title": "$:/language/Error/XMLHttpRequest",
"text": "XMLHttpRequest error code"
},
"$:/language/InternalJavaScriptError/Title": {
"title": "$:/language/InternalJavaScriptError/Title",
"text": "Internal JavaScript Error"
},
"$:/language/InternalJavaScriptError/Hint": {
"title": "$:/language/InternalJavaScriptError/Hint",
"text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
},
"$:/language/LazyLoadingWarning": {
"title": "$:/language/LazyLoadingWarning",
"text": "<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"
},
"$:/language/LoginToTiddlySpace": {
"title": "$:/language/LoginToTiddlySpace",
"text": "Login to TiddlySpace"
},
"$:/language/Manager/Controls/FilterByTag/None": {
"title": "$:/language/Manager/Controls/FilterByTag/None",
"text": "(none)"
},
"$:/language/Manager/Controls/FilterByTag/Prompt": {
"title": "$:/language/Manager/Controls/FilterByTag/Prompt",
"text": "Filter by tag:"
},
"$:/language/Manager/Controls/Order/Prompt": {
"title": "$:/language/Manager/Controls/Order/Prompt",
"text": "Reverse order"
},
"$:/language/Manager/Controls/Search/Placeholder": {
"title": "$:/language/Manager/Controls/Search/Placeholder",
"text": "Search"
},
"$:/language/Manager/Controls/Search/Prompt": {
"title": "$:/language/Manager/Controls/Search/Prompt",
"text": "Search:"
},
"$:/language/Manager/Controls/Show/Option/Tags": {
"title": "$:/language/Manager/Controls/Show/Option/Tags",
"text": "tags"
},
"$:/language/Manager/Controls/Show/Option/Tiddlers": {
"title": "$:/language/Manager/Controls/Show/Option/Tiddlers",
"text": "tiddlers"
},
"$:/language/Manager/Controls/Show/Prompt": {
"title": "$:/language/Manager/Controls/Show/Prompt",
"text": "Show:"
},
"$:/language/Manager/Controls/Sort/Prompt": {
"title": "$:/language/Manager/Controls/Sort/Prompt",
"text": "Sort by:"
},
"$:/language/Manager/Item/Colour": {
"title": "$:/language/Manager/Item/Colour",
"text": "Colour"
},
"$:/language/Manager/Item/Fields": {
"title": "$:/language/Manager/Item/Fields",
"text": "Fields"
},
"$:/language/Manager/Item/Icon/None": {
"title": "$:/language/Manager/Item/Icon/None",
"text": "(none)"
},
"$:/language/Manager/Item/Icon": {
"title": "$:/language/Manager/Item/Icon",
"text": "Icon"
},
"$:/language/Manager/Item/RawText": {
"title": "$:/language/Manager/Item/RawText",
"text": "Raw text"
},
"$:/language/Manager/Item/Tags": {
"title": "$:/language/Manager/Item/Tags",
"text": "Tags"
},
"$:/language/Manager/Item/Tools": {
"title": "$:/language/Manager/Item/Tools",
"text": "Tools"
},
"$:/language/Manager/Item/WikifiedText": {
"title": "$:/language/Manager/Item/WikifiedText",
"text": "Wikified text"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"
},
"$:/language/No": {
"title": "$:/language/No",
"text": "No"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Official ~TiddlyWiki Plugin Library"
},
"$:/language/OfficialPluginLibrary/Hint": {
"title": "$:/language/OfficialPluginLibrary/Hint",
"text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to ~JavaScript plugins to take effect"
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DDth MMM YYYY"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "This is a system tiddler"
},
"$:/language/SystemTiddlers/Include/Prompt": {
"title": "$:/language/SystemTiddlers/Include/Prompt",
"text": "Include system tiddlers"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Colour"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Count"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Icon"
},
"$:/language/TagManager/Icons/None": {
"title": "$:/language/TagManager/Icons/None",
"text": "None"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Info"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Tag"
},
"$:/language/Tiddler/DateFormat": {
"title": "$:/language/Tiddler/DateFormat",
"text": "DDth MMM YYYY at hh12:0mmam"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "You have unsaved changes in TiddlyWiki"
},
"$:/language/Yes": {
"title": "$:/language/Yes",
"text": "Yes"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"subtitle": "Download changes",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"subtitle": "Save your work",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/SavingChanges.html",
"text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DDth MMM YYYY"
},
"$:/config/NewJournal/Text": {
"title": "$:/config/NewJournal/Text",
"text": ""
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"tags": "Journal"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Saved wiki"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Starting to save wiki"
},
"$:/language/Notifications/CopiedToClipboard/Succeeded": {
"title": "$:/language/Notifications/CopiedToClipboard/Succeeded",
"text": "Copied to clipboard!"
},
"$:/language/Notifications/CopiedToClipboard/Failed": {
"title": "$:/language/Notifications/CopiedToClipboard/Failed",
"text": "Failed to copy to clipboard!"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "List"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Filter"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches/All": {
"title": "$:/language/Search/Matches/All",
"text": "All matches:"
},
"$:/language/Search/Matches/Title": {
"title": "$:/language/Search/Matches/Title",
"text": "Title matches:"
},
"$:/language/Search/Search": {
"title": "$:/language/Search/Search",
"text": "Search"
},
"$:/language/Search/Search/TooShort": {
"title": "$:/language/Search/Search/TooShort",
"text": "Search text too short"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Shadows"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Search for shadow tiddlers"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Standard"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Search for standard tiddlers"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "System"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Search for system tiddlers"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "All"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Contents"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Drafts"
},
"$:/language/SideBar/Explorer/Caption": {
"title": "$:/language/SideBar/Explorer/Caption",
"text": "Explorer"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Missing"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "More"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Open"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Orphans"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Recent"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Shadows"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "System"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Tags"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "untagged"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Tools"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Types"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "a non-linear personal web notebook"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "My ~TiddlyWiki"
},
"$:/language/Snippets/ListByTag": {
"title": "$:/language/Snippets/ListByTag",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "List of tiddlers by tag",
"text": "<<list-links \"[tag[task]sort[title]]\">>\n"
},
"$:/language/Snippets/MacroDefinition": {
"title": "$:/language/Snippets/MacroDefinition",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Macro definition",
"text": "\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"
},
"$:/language/Snippets/Table4x3": {
"title": "$:/language/Snippets/Table4x3",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table with 4 columns by 3 rows",
"text": "|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"
},
"$:/language/Snippets/TableOfContents": {
"title": "$:/language/Snippets/TableOfContents",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table of Contents",
"text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
},
"$:/language/ThemeTweaks/ThemeTweaks": {
"title": "$:/language/ThemeTweaks/ThemeTweaks",
"text": "Theme Tweaks"
},
"$:/language/ThemeTweaks/ThemeTweaks/Hint": {
"title": "$:/language/ThemeTweaks/ThemeTweaks/Hint",
"text": "You can tweak certain aspects of the ''Vanilla'' theme."
},
"$:/language/ThemeTweaks/Options": {
"title": "$:/language/ThemeTweaks/Options",
"text": "Options"
},
"$:/language/ThemeTweaks/Options/SidebarLayout": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout",
"text": "Sidebar layout"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid",
"text": "Fixed story, fluid sidebar"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed",
"text": "Fluid story, fixed sidebar"
},
"$:/language/ThemeTweaks/Options/StickyTitles": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles",
"text": "Sticky titles"
},
"$:/language/ThemeTweaks/Options/StickyTitles/Hint": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles/Hint",
"text": "Causes tiddler titles to \"stick\" to the top of the browser window"
},
"$:/language/ThemeTweaks/Options/CodeWrapping": {
"title": "$:/language/ThemeTweaks/Options/CodeWrapping",
"text": "Wrap long lines in code blocks"
},
"$:/language/ThemeTweaks/Settings": {
"title": "$:/language/ThemeTweaks/Settings",
"text": "Settings"
},
"$:/language/ThemeTweaks/Settings/FontFamily": {
"title": "$:/language/ThemeTweaks/Settings/FontFamily",
"text": "Font family"
},
"$:/language/ThemeTweaks/Settings/CodeFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/CodeFontFamily",
"text": "Code font family"
},
"$:/language/ThemeTweaks/Settings/EditorFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/EditorFontFamily",
"text": "Editor font family"
},
"$:/language/ThemeTweaks/Settings/BackgroundImage": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImage",
"text": "Page background image"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment",
"text": "Page background image attachment"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll",
"text": "Scroll with tiddlers"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed",
"text": "Fixed to window"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize",
"text": "Page background image size"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto",
"text": "Auto"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover",
"text": "Cover"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain",
"text": "Contain"
},
"$:/language/ThemeTweaks/Metrics": {
"title": "$:/language/ThemeTweaks/Metrics",
"text": "Sizes"
},
"$:/language/ThemeTweaks/Metrics/FontSize": {
"title": "$:/language/ThemeTweaks/Metrics/FontSize",
"text": "Font size"
},
"$:/language/ThemeTweaks/Metrics/LineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/LineHeight",
"text": "Line height"
},
"$:/language/ThemeTweaks/Metrics/BodyFontSize": {
"title": "$:/language/ThemeTweaks/Metrics/BodyFontSize",
"text": "Font size for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/BodyLineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/BodyLineHeight",
"text": "Line height for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft",
"text": "Story left position"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint",
"text": "how far the left margin of the story river<br>(tiddler area) is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryTop": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop",
"text": "Story top position"
},
"$:/language/ThemeTweaks/Metrics/StoryTop/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop/Hint",
"text": "how far the top margin of the story river<br>is from the top of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryRight": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight",
"text": "Story right"
},
"$:/language/ThemeTweaks/Metrics/StoryRight/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight/Hint",
"text": "how far the left margin of the sidebar <br>is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth",
"text": "Story width"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint",
"text": "the overall width of the story river"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth",
"text": "Tiddler width"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint",
"text": "within the story river"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint",
"text": "Sidebar breakpoint"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint",
"text": "the minimum page width at which the story<br>river and sidebar will appear side by side"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth",
"text": "Sidebar width"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint",
"text": "the width of the sidebar in fluid-fixed layout"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Advanced"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "none"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Plugin Details"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "This plugin contains the following shadow tiddlers:"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Shadow Status"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "It is overridden by an ordinary tiddler"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Fields"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "List"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "This tiddler does not have a list"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "Listed"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "This tiddler is not listed by any others"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "References"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "No tiddlers link to this one"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Tagging"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "No tiddlers are tagged with this one"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Tools"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "JavaScript code",
"name": "application/javascript",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "JSON data",
"name": "application/json",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Data dictionary",
"name": "application/x-tiddler-dictionary",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "GIF image",
"name": "image/gif",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "JPEG image",
"name": "image/jpeg",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "PNG image",
"name": "image/png",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "Structured Vector Graphics image",
"name": "image/svg+xml",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "ICO format icon file",
"name": "image/x-icon",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Static stylesheet",
"name": "text/css",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "HTML markup",
"name": "text/html",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Plain text",
"name": "text/plain",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/languages/en-GB/icon": {
"title": "$:/languages/en-GB/icon",
"type": "image/svg+xml",
"text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
},
"$:/languages/en-GB": {
"title": "$:/languages/en-GB",
"name": "en-GB",
"description": "English (British)",
"author": "JeremyRuston",
"core-version": ">=5.0.0\"",
"text": "Stub pseudo-plugin for the default language"
},
"$:/core/modules/commander.js": {
"title": "$:/core/modules/commander.js",
"text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\t// Parse named parameters if required\n\t\t\t\tif(command.info.namedParameterMode) {\n\t\t\t\t\tparams = this.extractNamedParameters(params,command.info.mandatoryParameters);\n\t\t\t\t\tif(typeof params === \"string\") {\n\t\t\t\t\t\treturn this.callback(params);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nGiven an array of parameter strings `params` in name:value format, and an array of mandatory parameter names in `mandatoryParameters`, returns a hashmap of values or a string if error\n*/\nCommander.prototype.extractNamedParameters = function(params,mandatoryParameters) {\n\tmandatoryParameters = mandatoryParameters || [];\n\tvar errors = [],\n\t\tparamsByName = Object.create(null);\n\t// Extract the parameters\n\t$tw.utils.each(params,function(param) {\n\t\tvar index = param.indexOf(\"=\");\n\t\tif(index < 1) {\n\t\t\terrors.push(\"malformed named parameter: '\" + param + \"'\");\n\t\t}\n\t\tparamsByName[param.slice(0,index)] = $tw.utils.trim(param.slice(index+1));\n\t});\n\t// Check the mandatory parameters are present\n\t$tw.utils.each(mandatoryParameters,function(mandatoryParameter) {\n\t\tif(!$tw.utils.hop(paramsByName,mandatoryParameter)) {\n\t\t\terrors.push(\"missing mandatory parameter: '\" + mandatoryParameter + \"'\");\n\t\t}\n\t});\n\t// Return any errors\n\tif(errors.length > 0) {\n\t\treturn errors.join(\" and\\n\");\n\t} else {\n\t\treturn paramsByName;\t\t\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/commands/build.js": {
"title": "$:/core/modules/commands/build.js",
"text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/clearpassword.js": {
"title": "$:/core/modules/commands/clearpassword.js",
"text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/deletetiddlers.js": {
"title": "$:/core/modules/commands/deletetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/deletetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to delete tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"deletetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filter\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\twiki.deleteTiddler(title);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/editions.js": {
"title": "$:/core/modules/commands/editions.js",
"text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\" \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/fetch.js": {
"title": "$:/core/modules/commands/fetch.js",
"text": "/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = $tw.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t \tdata = [];\n\t self.commander.write(\"Reading \" + url + \": \");\n\t response.on(\"data\",function(chunk) {\n\t data.push(chunk);\n\t self.commander.write(\".\");\n\t });\n\t response.on(\"end\",function() {\n\t self.commander.write(\"\\n\");\n\t if(response.statusCode === 200) {\n\t\t self.processBody(Buffer.concat(data),type,options,url);\n\t\t callback(null);\n\t } else {\n\t \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t \t} else {\n\t\t \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\t \t\t\n\t \t}\n\t }\n\t \t});\n\t \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/help.js": {
"title": "$:/core/modules/commands/help.js",
"text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/import.js": {
"title": "$:/core/modules/commands/import.js",
"text": "/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/init.js": {
"title": "$:/core/modules/commands/init.js",
"text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/listen.js": {
"title": "$:/core/modules/commands/listen.js",
"text": "/*\\\ntitle: $:/core/modules/commands/listen.js\ntype: application/javascript\nmodule-type: command\n\nListen for HTTP requests and serve tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"listen\",\n\tsynchronous: true,\n\tnamedParameterMode: true,\n\tmandatoryParameters: [],\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: self.params\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/load.js": {
"title": "$:/core/modules/commands/load.js",
"text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count && self.params[1] !== \"noerror\") {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/makelibrary.js": {
"title": "$:/core/modules/commands/makelibrary.js",
"text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = fs.readdirSync(folder);\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = fs.readdirSync(folder);\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.pluginsPath,$tw.config.pluginsEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.themesPath,$tw.config.themesEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.languagesPath,$tw.config.languagesEnvVar),collectPlugins);\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers})\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/output.js": {
"title": "$:/core/modules/commands/output.js",
"text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/password.js": {
"title": "$:/core/modules/commands/password.js",
"text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/render.js": {
"title": "$:/core/modules/commands/render.js",
"text": "/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"render\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing tiddler filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvarName = this.params[4],\n\t\tvarValue = this.params[5],\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\tvariables = {currentTiddler: title};\n\t\tif(varName) {\n\t\t\tvariables[varName] = varValue || \"\";\n\t\t}\n\t\tvar widgetNode = wiki.makeWidget(parser,{variables: variables}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddler.js": {
"title": "$:/core/modules/commands/rendertiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddlers.js": {
"title": "$:/core/modules/commands/rendertiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/save.js": {
"title": "$:/core/modules/commands/save.js",
"text": "/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"save\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savelibrarytiddlers.js": {
"title": "$:/core/modules/commands/savelibrarytiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\tdoesRequireReload = !!$tw.wiki.doesPluginInfoRequireReload(pluginTiddlers),\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{\n\t\t\ttext: undefined,\n\t\t\treadme: readmeContent,\n\t\t\t\"requires-reload\": doesRequireReload ? \"yes\" : \"no\",\n\t\t\ticon: iconContent\n\t\t}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddler.js": {
"title": "$:/core/modules/commands/savetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddlers.js": {
"title": "$:/core/modules/commands/savetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savewikifolder.js": {
"title": "$:/core/modules/commands/savewikifolder.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savewikifolder.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the current wiki as a wiki folder\n\n--savewikifolder <wikifolderpath> [<filter>]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savewikifolder\",\n\tsynchronous: true\n};\n\nvar fs,path;\nif($tw.node) {\n\tfs = require(\"fs\");\n\tpath = require(\"path\");\n}\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing wiki folder path\";\n\t}\n\tvar wikifoldermaker = new WikiFolderMaker(this.params[0],this.params[1],this.commander);\n\treturn wikifoldermaker.save();\n};\n\nfunction WikiFolderMaker(wikiFolderPath,wikiFilter,commander) {\n\tthis.wikiFolderPath = wikiFolderPath;\n\tthis.wikiFilter = wikiFilter || \"[all[tiddlers]]\";\n\tthis.commander = commander;\n\tthis.wiki = commander.wiki;\n\tthis.savedPaths = []; // So that we can detect filename clashes\n}\n\nWikiFolderMaker.prototype.log = function(str) {\n\tif(this.commander.verbose) {\n\t\tconsole.log(str);\n\t}\n};\n\nWikiFolderMaker.prototype.tiddlersToIgnore = [\n\t\"$:/boot/boot.css\",\n\t\"$:/boot/boot.js\",\n\t\"$:/boot/bootprefix.js\",\n\t\"$:/core\",\n\t\"$:/library/sjcl.js\",\n\t\"$:/temp/info-plugin\"\n];\n\n/*\nReturns null if successful, or an error string if there was an error\n*/\nWikiFolderMaker.prototype.save = function() {\n\tvar self = this;\n\t// Check that the output directory doesn't exist\n\tif(fs.existsSync(this.wikiFolderPath) && !$tw.utils.isDirectoryEmpty(this.wikiFolderPath)) {\n\t\treturn \"The unpackwiki command requires that the output wiki folder be empty\";\n\t}\n\t// Get the tiddlers from the source wiki\n\tvar tiddlerTitles = this.wiki.filterTiddlers(this.wikiFilter);\n\t// Initialise a new tiddlwiki.info file\n\tvar newWikiInfo = {};\n\t// Process each incoming tiddler in turn\n\t$tw.utils.each(tiddlerTitles,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tif(self.tiddlersToIgnore.indexOf(title) !== -1) {\n\t\t\t\t// Ignore the core plugin and the ephemeral info plugin\n\t\t\t\tself.log(\"Ignoring tiddler: \" + title);\n\t\t\t} else {\n\t\t\t\tvar type = tiddler.fields.type,\n\t\t\t\t\tpluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif(type === \"application/json\" && pluginType) {\n\t\t\t\t\t// Plugin tiddler\n\t\t\t\t\tvar libraryDetails = self.findPluginInLibrary(title);\n\t\t\t\t\tif(libraryDetails) {\n\t\t\t\t\t\t// A plugin from the core library\n\t\t\t\t\t\tself.log(\"Adding built-in plugin: \" + libraryDetails.name);\n\t\t\t\t\t\tnewWikiInfo[libraryDetails.type] = newWikiInfo[libraryDetails.type] || [];\n\t\t\t\t\t\t$tw.utils.pushTop(newWikiInfo[libraryDetails.type],libraryDetails.name);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// A custom plugin\n\t\t\t\t\t\tself.log(\"Processing custom plugin: \" + title);\n\t\t\t\t\t\tself.saveCustomPlugin(tiddler);\n\t\t\t\t\t}\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\t// Ordinary tiddler\n\t\t\t\t\tself.saveTiddler(\"tiddlers\",tiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Save the tiddlywiki.info file\n\tthis.saveJSONFile(\"tiddlywiki.info\",newWikiInfo);\n\tself.log(\"Writing tiddlywiki.info: \" + JSON.stringify(newWikiInfo,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\n/*\nTest whether the specified tiddler is a plugin in the plugin library\n*/\nWikiFolderMaker.prototype.findPluginInLibrary = function(title) {\n\tvar parts = title.split(\"/\"),\n\t\tpluginPath, type, name;\n\tif(parts[0] === \"$:\") {\n\t\tif(parts[1] === \"languages\" && parts.length === 3) {\n\t\t\tpluginPath = \"languages\" + path.sep + parts[2];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2];\n\t\t} else if(parts[1] === \"plugins\" || parts[1] === \"themes\" && parts.length === 4) {\n\t\t\tpluginPath = parts[1] + path.sep + parts[2] + path.sep + parts[3];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2] + \"/\" + parts[3];\n\t\t}\n\t}\n\tif(pluginPath && type && name) {\n\t\tpluginPath = path.resolve($tw.boot.bootPath,\"..\",pluginPath);\n\t\tif(fs.existsSync(pluginPath)) {\n\t\t\treturn {\n\t\t\t\tpluginPath: pluginPath,\n\t\t\t\ttype: type,\n\t\t\t\tname: name\n\t\t\t};\n\t\t}\n\t}\n\treturn false;\n};\n\nWikiFolderMaker.prototype.saveCustomPlugin = function(pluginTiddler) {\n\tvar self = this,\n\t\tpluginTitle = pluginTiddler.fields.title,\n\t\ttitleParts = pluginTitle.split(\"/\"),\n\t\tdirectory = $tw.utils.generateTiddlerFilepath(titleParts[titleParts.length - 1],{\n\t\t\tdirectory: path.resolve(this.wikiFolderPath,pluginTiddler.fields[\"plugin-type\"] + \"s\")\n\t\t}),\n\t\tpluginInfo = pluginTiddler.getFieldStrings({exclude: [\"text\",\"type\"]});\n\tthis.saveJSONFile(directory + path.sep + \"plugin.info\",pluginInfo);\n\tself.log(\"Writing \" + directory + path.sep + \"plugin.info: \" + JSON.stringify(pluginInfo,null,$tw.config.preferences.jsonSpaces));\n\tvar pluginTiddlers = JSON.parse(pluginTiddler.fields.text).tiddlers; // A hashmap of tiddlers in the plugin\n\t$tw.utils.each(pluginTiddlers,function(tiddler) {\n\t\tself.saveTiddler(directory,new $tw.Tiddler(tiddler));\n\t});\n};\n\nWikiFolderMaker.prototype.saveTiddler = function(directory,tiddler) {\n\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\tdirectory: path.resolve(this.wikiFolderPath,directory),\n\t\twiki: this.wiki\n\t});\n\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n};\n\nWikiFolderMaker.prototype.saveJSONFile = function(filename,json) {\n\tthis.saveTextFile(filename,JSON.stringify(json,null,$tw.config.preferences.jsonSpaces));\n};\n\nWikiFolderMaker.prototype.saveTextFile = function(filename,data) {\n\tthis.saveFile(filename,\"utf8\",data);\n};\n\nWikiFolderMaker.prototype.saveFile = function(filename,encoding,data) {\n\tvar filepath = path.resolve(this.wikiFolderPath,filename);\n\t$tw.utils.createFileDirectories(filepath);\n\tfs.writeFileSync(filepath,data,encoding);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/server.js": {
"title": "$:/core/modules/commands/server.js",
"text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nDeprecated legacy command for serving tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: {\n\t\t\tport: this.params[0],\n\t\t\thost: this.params[6],\n\t\t\t\"root-tiddler\": this.params[1],\n\t\t\t\"root-render-type\": this.params[2],\n\t\t\t\"root-serve-type\": this.params[3],\n\t\t\tusername: this.params[4],\n\t\t\tpassword: this.params[5],\n\t\t\t\"path-prefix\": this.params[7],\n\t\t\t\"debug-level\": this.params[8]\n\t\t}\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/setfield.js": {
"title": "$:/core/modules/commands/setfield.js",
"text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/unpackplugin.js": {
"title": "$:/core/modules/commands/unpackplugin.js",
"text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/verbose.js": {
"title": "$:/core/modules/commands/verbose.js",
"text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n \" + $tw.boot.logMessages.join(\"\\n \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/version.js": {
"title": "$:/core/modules/commands/version.js",
"text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/config.js": {
"title": "$:/core/modules/config.js",
"text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter: \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
"type": "application/javascript",
"module-type": "config"
},
"$:/core/modules/deserializers.js": {
"title": "$:/core/modules/deserializers.js",
"text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming,\n\t\tresults = [];\n\ttry {\n\t\tincoming = JSON.parse(text);\n\t} catch(e) {\n\t\tincoming = [{\n\t\t\ttitle: \"JSON error: \" + e,\n\t\t\ttext: \"\"\n\t\t}]\n\t}\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlerdeserializer"
},
"$:/core/modules/editor/engines/framed.js": {
"title": "$:/core/modules/editor/engines/framed.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.iframeNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"click\",handlerObject: this,handlerMethod: \"handleClickEvent\"},\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\tthis.domNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a click\n*/\nFramedEngine.prototype.handleClickEvent = function(event) {\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/engines/simple.js": {
"title": "$:/core/modules/editor/engines/simple.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.domNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/factory.js": {
"title": "$:/core/modules/editor/factory.js",
"text": "/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag) || \"input\";\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0) && (!this.document.isTiddlyWikiFakeDom);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup || changedAttributes.rows || changedAttributes.tabindex || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE]) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(\"keydown\", true, true);\n\t\t}\n\t\tnewEvent.keyCode = event.keyCode;\n\t\tnewEvent.which = event.which;\n\t\tnewEvent.metaKey = event.metaKey;\n\t\tnewEvent.ctrlKey = event.ctrlKey;\n\t\tnewEvent.altKey = event.altKey;\n\t\tnewEvent.shiftKey = event.shiftKey;\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\treturn EditTextWidget;\n\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/operations/bitmap/clear.js": {
"title": "$:/core/modules/editor/operations/bitmap/clear.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/resize.js": {
"title": "$:/core/modules/editor/operations/bitmap/resize.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/rotate-left.js": {
"title": "$:/core/modules/editor/operations/bitmap/rotate-left.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/rotate-left.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to rotate the image left by 90 degrees\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"rotate-left\"] = function(event) {\n\t// Rotate the canvas left by 90 degrees\n\tthis.rotateCanvasLeft();\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/text/excise.js": {
"title": "$:/core/modules/editor/operations/text/excise.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ? [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/make-link.js": {
"title": "$:/core/modules/editor/operations/text/make-link.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/prefix-lines.js": {
"title": "$:/core/modules/editor/operations/text/prefix-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\tvar targetCount = parseInt(event.paramObject.count + \"\",10);\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,targetCount);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile(line.charAt(0) === event.paramObject.character) {\n\t\t\tline = line.substring(1);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== targetCount) {\n\t\t\t// Apply the prefix\n\t\t\tline = prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-all.js": {
"title": "$:/core/modules/editor/operations/text/replace-all.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-selection.js": {
"title": "$:/core/modules/editor/operations/text/replace-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/save-selection.js": {
"title": "$:/core/modules/editor/operations/text/save-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/save-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to save the current selection in a specified tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"save-selection\"] = function(event,operation) {\n\tvar tiddler = event.paramObject.tiddler,\n\t\tfield = event.paramObject.field || \"text\";\n\tif(tiddler && field) {\n\t\tthis.wiki.setText(tiddler,field,null,operation.text.substring(operation.selStart,operation.selEnd));\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-lines.js": {
"title": "$:/core/modules/editor/operations/text/wrap-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Add the prefix and suffix\n\toperation.replacement = event.paramObject.prefix + \"\\n\" +\n\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\tevent.paramObject.suffix + \"\\n\";\n\toperation.newSelStart = operation.cutStart + event.paramObject.prefix.length + 1;\n\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-selection.js": {
"title": "$:/core/modules/editor/operations/text/wrap-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix\n\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\toperation.replacement = \"\";\n\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/filters/addprefix.js": {
"title": "$:/core/modules/filters/addprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/addsuffix.js": {
"title": "$:/core/modules/filters/addsuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/after.js": {
"title": "$:/core/modules/filters/after.js",
"text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/all/current.js": {
"title": "$:/core/modules/filters/all/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/missing.js": {
"title": "$:/core/modules/filters/all/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/orphans.js": {
"title": "$:/core/modules/filters/all/orphans.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/shadows.js": {
"title": "$:/core/modules/filters/all/shadows.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tags.js": {
"title": "$:/core/modules/filters/all/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tiddlers.js": {
"title": "$:/core/modules/filters/all/tiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all.js": {
"title": "$:/core/modules/filters/all.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/backlinks.js": {
"title": "$:/core/modules/filters/backlinks.js",
"text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/before.js": {
"title": "$:/core/modules/filters/before.js",
"text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/commands.js": {
"title": "$:/core/modules/filters/commands.js",
"text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/compare.js": {
"title": "$:/core/modules/filters/compare.js",
"text": "/*\\\ntitle: $:/core/modules/filters/compare.js\ntype: application/javascript\nmodule-type: filteroperator\n\nGeneral purpose comparison operator\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.compare = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = (suffixes[0] || [])[0],\n\t\tmode = (suffixes[1] || [])[0],\n\t\ttypeFn = types[type] || types.number,\n\t\tmodeFn = modes[mode] || modes.eq,\n\t\tinvert = operator.prefix === \"!\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tif(modeFn(typeFn(title,operator.operand)) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nvar types = {\n\t\"number\": function(a,b) {\n\t\treturn compare($tw.utils.parseNumber(a),$tw.utils.parseNumber(b));\n\t},\n\t\"integer\": function(a,b) {\n\t\treturn compare($tw.utils.parseInt(a),$tw.utils.parseInt(b));\n\t},\n\t\"string\": function(a,b) {\n\t\treturn compare(\"\" + a,\"\" +b);\n\t},\n\t\"date\": function(a,b) {\n\t\tvar dateA = $tw.utils.parseDate(a),\n\t\t\tdateB = $tw.utils.parseDate(b);\n\t\tif(!isFinite(dateA)) {\n\t\t\tdateA = new Date(0);\n\t\t}\n\t\tif(!isFinite(dateB)) {\n\t\t\tdateB = new Date(0);\n\t\t}\n\t\treturn compare(dateA,dateB);\n\t},\n\t\"version\": function(a,b) {\n\t\treturn $tw.utils.compareVersions(a,b);\n\t}\n};\n\nfunction compare(a,b) {\n\tif(a > b) {\n\t\treturn +1;\n\t} else if(a < b) {\n\t\treturn -1;\n\t} else {\n\t\treturn 0;\n\t}\n};\n\nvar modes = {\n\t\"eq\": function(value) {return value === 0;},\n\t\"ne\": function(value) {return value !== 0;},\n\t\"gteq\": function(value) {return value >= 0;},\n\t\"gt\": function(value) {return value > 0;},\n\t\"lteq\": function(value) {return value <= 0;},\n\t\"lt\": function(value) {return value < 0;}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/contains.js": {
"title": "$:/core/modules/filters/contains.js",
"text": "/*\\\ntitle: $:/core/modules/filters/contains.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for finding values in array fields\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.contains = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"list\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/count.js": {
"title": "$:/core/modules/filters/count.js",
"text": "/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/days.js": {
"title": "$:/core/modules/filters/days.js",
"text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/each.js": {
"title": "$:/core/modules/filters/each.js",
"text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\tvalue,values = {},\n\tfield = operator.operand || \"title\";\n\tif(operator.suffix === \"value\" && field === \"title\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(values,title)) {\n\t\t\t\tvalues[title] = true;\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else if(operator.suffix !== \"list-item\") {\n\t\tif(field === \"title\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !$tw.utils.hop(values,title)) {\n\t\t\t\t\tvalues[title] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvalue = tiddler.getFieldString(field);\n\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/eachday.js": {
"title": "$:/core/modules/filters/eachday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editiondescription.js": {
"title": "$:/core/modules/filters/editiondescription.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editions.js": {
"title": "$:/core/modules/filters/editions.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\tresults.push(name);\n\t\t});\n\t}\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/else.js": {
"title": "$:/core/modules/filters/else.js",
"text": "/*\\\ntitle: $:/core/modules/filters/else.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing an empty input list with a constant, passing a non-empty input list straight through\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.else = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tif(results.length === 0) {\n\t\treturn [operator.operand];\n\t} else {\n\t\treturn results;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/decodeuricomponent.js": {
"title": "$:/core/modules/filters/decodeuricomponent.js",
"text": "/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURIComponent(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURI(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\nexports.escapecss = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t// escape any character with a special meaning in CSS using CSS.escape()\n\t\tresults.push(CSS.escape(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/enlist.js": {
"title": "$:/core/modules/filters/enlist.js",
"text": "/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar allowDuplicates = false;\n\tswitch(operator.suffix) {\n\t\tcase \"raw\":\n\t\t\tallowDuplicates = true;\n\t\t\tbreak;\n\t\tcase \"dedupe\":\n\t\t\tallowDuplicates = false;\n\t\t\tbreak;\n\t}\n\tvar list = $tw.utils.parseStringArray(operator.operand,allowDuplicates);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/field.js": {
"title": "$:/core/modules/filters/field.js",
"text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],indexedResults,\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tif(source.byField && operator.operand) {\n\t\t\t\tindexedResults = source.byField(fieldname,operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults\n\t\t\t\t}\n\t\t\t}\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/fields.js": {
"title": "$:/core/modules/filters/fields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName,\n\t\tsuffixes = (operator.suffixes || [])[0] || [],\n\t\toperand = $tw.utils.parseStringArray(operator.operand);\n\t\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(suffixes.indexOf(\"include\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? $tw.utils.pushTop(results,fieldName) : \"\";\n\t\t\t\t}\n\t\t\t} else if (suffixes.indexOf(\"exclude\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? \"\" : $tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else if\n\t\t\telse {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else\n\t\t} // if (tiddler)\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/get.js": {
"title": "$:/core/modules/filters/get.js",
"text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getindex.js": {
"title": "$:/core/modules/filters/getindex.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getvariable.js": {
"title": "$:/core/modules/filters/getvariable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getvariable.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing input values by the value of the variable with the same name, or blank if the variable is missing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getvariable = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.widget.getVariable(title) || \"\");\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/has.js": {
"title": "$:/core/modules/filters/has.js",
"text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field or index\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse if(operator.suffix === \"index\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand] === \"\")) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && !(tiddler.fields[operator.operand] === \"\" || tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\t\t\t\t\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/haschanged.js": {
"title": "$:/core/modules/filters/haschanged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/indexes.js": {
"title": "$:/core/modules/filters/indexes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/insertbefore.js": {
"title": "$:/core/modules/filters/insertbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\");\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tresults.push(operator.operand);\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/is/binary.js": {
"title": "$:/core/modules/filters/is/binary.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/binary.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[binary]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.binary = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/blank.js": {
"title": "$:/core/modules/filters/is/blank.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/blank.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[blank]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.blank = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/current.js": {
"title": "$:/core/modules/filters/is/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/image.js": {
"title": "$:/core/modules/filters/is/image.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/missing.js": {
"title": "$:/core/modules/filters/is/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/orphan.js": {
"title": "$:/core/modules/filters/is/orphan.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/shadow.js": {
"title": "$:/core/modules/filters/is/shadow.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/system.js": {
"title": "$:/core/modules/filters/is/system.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tag.js": {
"title": "$:/core/modules/filters/is/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tiddler.js": {
"title": "$:/core/modules/filters/is/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/variable.js": {
"title": "$:/core/modules/filters/is/variable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/variable.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[variable]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variable = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!(title in options.widget.variables)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title in options.widget.variables) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is.js": {
"title": "$:/core/modules/filters/is.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/limit.js": {
"title": "$:/core/modules/filters/limit.js",
"text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/links.js": {
"title": "$:/core/modules/filters/links.js",
"text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/list.js": {
"title": "$:/core/modules/filters/list.js",
"text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listed.js": {
"title": "$:/core/modules/filters/listed.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listops.js": {
"title": "$:/core/modules/filters/listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/lookup.js": {
"title": "$:/core/modules/filters/lookup.js",
"text": "/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<field>[<prefix>]]\n\nPrepends the prefix to the selected items and returns the specified field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.getTiddlerText(operator.operand + title) || options.wiki.getTiddlerText(operator.operand + operator.suffix));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/match.js": {
"title": "$:/core/modules/filters/match.js",
"text": "/*\\\ntitle: $:/core/modules/filters/match.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title matches a string\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.match = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() !== (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() === (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/math.js": {
"title": "$:/core/modules/filters/math.js",
"text": "/*\\\ntitle: $:/core/modules/filters/math.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for math. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\nNote that strings are converted to numbers automatically. Trailing non-digits are ignored.\n\n* \"\" converts to 0\n* \"12kk\" converts to 12\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.negate = makeNumericBinaryOperator(\n\tfunction(a) {return -a}\n);\n\nexports.abs = makeNumericBinaryOperator(\n\tfunction(a) {return Math.abs(a)}\n);\n\nexports.ceil = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(a)}\n);\n\nexports.floor = makeNumericBinaryOperator(\n\tfunction(a) {return Math.floor(a)}\n);\n\nexports.round = makeNumericBinaryOperator(\n\tfunction(a) {return Math.round(a)}\n);\n\nexports.trunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.trunc(a)}\n);\n\nexports.untrunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(Math.abs(a)) * Math.sign(a)}\n);\n\nexports.sign = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sign(a)}\n);\n\nexports.add = makeNumericBinaryOperator(\n\tfunction(a,b) {return a + b;}\n);\n\nexports.subtract = makeNumericBinaryOperator(\n\tfunction(a,b) {return a - b;}\n);\n\nexports.multiply = makeNumericBinaryOperator(\n\tfunction(a,b) {return a * b;}\n);\n\nexports.divide = makeNumericBinaryOperator(\n\tfunction(a,b) {return a / b;}\n);\n\nexports.remainder = makeNumericBinaryOperator(\n\tfunction(a,b) {return a % b;}\n);\n\nexports.max = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.max(a,b);}\n);\n\nexports.min = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.min(a,b);}\n);\n\nexports.fixed = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toFixed.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.precision = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toPrecision.call(a,Math.min(Math.max(b,1),100));}\n);\n\nexports.exponential = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toExponential.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.sum = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0 // Initial value\n);\n\nexports.product = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator * value},\n\t1 // Initial value\n);\n\nexports.maxall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.max(accumulator,value)},\n\t-Infinity // Initial value\n);\n\nexports.minall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.min(accumulator,value)},\n\tInfinity // Initial value\n);\n\nfunction makeNumericBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [],\n\t\t\tnumOperand = $tw.utils.parseNumber(operator.operand);\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.stringifyNumber(fnCalc($tw.utils.parseNumber(title),numOperand)));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeNumericReducingOperator(fnCalc,initialValue) {\n\tinitialValue = initialValue || 0;\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [$tw.utils.stringifyNumber(result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,$tw.utils.parseNumber(currentValue));\n\t\t},initialValue))];\n\t};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/minlength.js": {
"title": "$:/core/modules/filters/minlength.js",
"text": "/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/modules.js": {
"title": "$:/core/modules/filters/modules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/moduletypes.js": {
"title": "$:/core/modules/filters/moduletypes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/next.js": {
"title": "$:/core/modules/filters/next.js",
"text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/plugintiddlers.js": {
"title": "$:/core/modules/filters/plugintiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/prefix.js": {
"title": "$:/core/modules/filters/prefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/previous.js": {
"title": "$:/core/modules/filters/previous.js",
"text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/range.js": {
"title": "$:/core/modules/filters/range.js",
"text": "/*\\\ntitle: $:/core/modules/filters/range.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for generating a numeric range.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.range = function(source,operator,options) {\n\tvar results = [];\n\t// Split the operand into numbers delimited by these symbols\n\tvar parts = operator.operand.split(/[,:;]/g),\n\t\tbeg, end, inc, i, fixed = 0;\n\tfor (i=0; i<parts.length; i++) {\n\t\t// Validate real number\n\t\tif(!/^\\s*[+-]?((\\d+(\\.\\d*)?)|(\\.\\d+))\\s*$/.test(parts[i])) {\n\t\t\treturn [\"range: bad number \\\"\" + parts[i] + \"\\\"\"];\n\t\t}\n\t\t// Count digits; the most precise number determines decimal places in output.\n\t\tvar frac = /\\.\\d+/.exec(parts[i]);\n\t\tif(frac) {\n\t\t\tfixed = Math.max(fixed,frac[0].length-1);\n\t\t}\n\t\tparts[i] = parseFloat(parts[i]);\n\t}\n\tswitch(parts.length) {\n\t\tcase 1:\n\t\t\tend = parts[0];\n\t\t\tif (end >= 1) {\n\t\t\t\tbeg = 1;\n\t\t\t}\n\t\t\telse if (end <= -1) {\n\t\t\t\tbeg = -1;\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn [];\n\t\t\t}\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = Math.abs(parts[2]);\n\t\t\tbreak;\n\t}\n\tif(inc === 0) {\n\t\treturn [\"range: increment 0 causes infinite loop\"];\n\t}\n\t// May need to count backwards\n\tvar direction = ((end < beg) ? -1 : 1);\n\tinc *= direction;\n\t// Estimate number of resulting elements\n\tif((end - beg) / inc > 10000) {\n\t\treturn [\"range: too many steps (over 10K)\"];\n\t}\n\t// Avoid rounding error on last step\n\tend += direction * 0.5 * Math.pow(0.1,fixed);\n\tvar safety = 10010;\n\t// Enumerate the range\n\tif (end<beg) {\n\t\tfor(i=beg; i>end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tfor(i=beg; i<end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\tif(safety<0) {\n\t\treturn [\"range: unexpectedly large output\"];\n\t}\n\t// Reverse?\n\tif(operator.prefix === \"!\") {\n\t\tresults.reverse();\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/regexp.js": {
"title": "$:/core/modules/filters/regexp.js",
"text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removeprefix.js": {
"title": "$:/core/modules/filters/removeprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removesuffix.js": {
"title": "$:/core/modules/filters/removesuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title && title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sameday.js": {
"title": "$:/core/modules/filters/sameday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/search.js": {
"title": "$:/core/modules/filters/search.js",
"text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffixes) {\n\t\tvar hasFlag = function(flag) {\n\t\t\t\treturn (operator.suffixes[1] || []).indexOf(flag) !== -1;\n\t\t\t},\n\t\t\texcludeFields = false,\n\t\t\tfieldList = operator.suffixes[0] || [],\n\t\t\tfirstField = fieldList[0] || \"\", \n\t\t\tfirstChar = firstField.charAt(0),\n\t\t\tfields;\n\t\tif(firstChar === \"-\") {\n\t\t\tfields = [firstField.slice(1)].concat(fieldList.slice(1));\n\t\t\texcludeFields = true;\n\t\t} else if(fieldList[0] === \"*\"){\n\t\t\tfields = [];\n\t\t\texcludeFields = true;\n\t\t} else {\n\t\t\tfields = fieldList.slice(0);\n\t\t}\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: fields,\n\t\t\texcludeField: excludeFields,\n\t\t\tcaseSensitive: hasFlag(\"casesensitive\"),\n\t\t\tliteral: hasFlag(\"literal\"),\n\t\t\twhitespace: hasFlag(\"whitespace\"),\n\t\t\tanchored: hasFlag(\"anchored\"),\n\t\t\tregexp: hasFlag(\"regexp\"),\n\t\t\twords: hasFlag(\"words\")\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/shadowsource.js": {
"title": "$:/core/modules/filters/shadowsource.js",
"text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sort.js": {
"title": "$:/core/modules/filters/sort.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortan = function(source, operator, options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results, operator.operand || \"title\", operator.prefix === \"!\",false,false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/splitbefore.js": {
"title": "$:/core/modules/filters/splitbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/storyviews.js": {
"title": "$:/core/modules/filters/storyviews.js",
"text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/strings.js": {
"title": "$:/core/modules/filters/strings.js",
"text": "/*\\\ntitle: $:/core/modules/filters/strings.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for strings. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.length = makeStringBinaryOperator(\n\tfunction(a) {return [\"\" + (\"\" + a).length];}\n);\n\nexports.uppercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toUpperCase()];}\n);\n\nexports.lowercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toLowerCase()];}\n);\n\nexports.sentencecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toSentenceCase(a)];}\n);\n\nexports.titlecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toTitleCase(a)];}\n);\n\nexports.trim = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.trim(a)];}\n);\n\nexports.split = makeStringBinaryOperator(\n\tfunction(a,b) {return (\"\" + a).split(b);}\n);\n\nexports.join = makeStringReducingOperator(\n\tfunction(accumulator,value,operand) {\n\t\tif(accumulator === null) {\n\t\t\treturn value;\n\t\t} else {\n\t\t\treturn accumulator + operand + value;\n\t\t}\n\t},null\n);\n\nfunction makeStringBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tArray.prototype.push.apply(result,fnCalc(title,operator.operand || \"\"));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeStringReducingOperator(fnCalc,initialValue) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,currentValue,operator.operand || \"\");\n\t\t},initialValue) || \"\"];\n\t};\n}\n\nexports.splitregexp = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\tflags = (suffix.indexOf(\"m\") !== -1 ? \"m\" : \"\") + (suffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(operator.operand || \"\",flags);\t\t\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,title.split(regExp));\n\t});\t\t\n\treturn result;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subfilter.js": {
"title": "$:/core/modules/filters/subfilter.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subfilter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand evaluated as a filter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subfilter = function(source,operator,options) {\n\tvar list = options.wiki.filterTiddlers(operator.operand,options.widget,source);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subtiddlerfields.js": {
"title": "$:/core/modules/filters/subtiddlerfields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subtiddlerfields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected subtiddlers of the plugin named in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subtiddlerfields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar subtiddler = options.wiki.getSubTiddler(operator.operand,title);\n\t\tif(subtiddler) {\n\t\t\tfor(var fieldName in subtiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/suffix.js": {
"title": "$:/core/modules/filters/suffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tag.js": {
"title": "$:/core/modules/filters/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [],indexedResults;\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tvar tiddlers;\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddlers.indexOf(title) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tif(source.byTag) {\n\t\t\t\tindexedResults = source.byTag(operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(tiddlers.indexOf(title) !== -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t\t}\n\t\t}\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tagging.js": {
"title": "$:/core/modules/filters/tagging.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tags.js": {
"title": "$:/core/modules/filters/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/then.js": {
"title": "$:/core/modules/filters/then.js",
"text": "/*\\\ntitle: $:/core/modules/filters/then.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing any titles with a constant\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.then = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/title.js": {
"title": "$:/core/modules/filters/title.js",
"text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/untagged.js": {
"title": "$:/core/modules/filters/untagged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/variables.js": {
"title": "$:/core/modules/filters/variables.js",
"text": "/*\\\ntitle: $:/core/modules/filters/variables.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the active variables\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variables = function(source,operator,options) {\n\tvar names = [];\n\tfor(var variable in options.widget.variables) {\n\t\tnames.push(variable);\n\t}\n\treturn names.sort();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/wikiparserrules.js": {
"title": "$:/core/modules/filters/wikiparserrules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/x-listops.js": {
"title": "$:/core/modules/filters/x-listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n /*jslint node: true, browser: true */\n /*global $tw: false */\n \"use strict\";\n\n /*\n Fetch titles from the current list\n */\n var prepare_results = function (source) {\n var results = [];\n source(function (tiddler, title) {\n results.push(title);\n });\n return results;\n };\n\n /*\n Moves a number of items from the tail of the current list before the item named in the operand\n */\n exports.putbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list after the item named in the operand\n */\n exports.putafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Replaces the item named in the operand with a number of items from the tail of the current list\n */\n exports.replace = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -count) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list to the head of the list\n */\n exports.putfirst = function (source, operator) {\n var results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,1);\n return results.slice(-count).concat(results.slice(0, -count));\n };\n\n /*\n Moves a number of items from the head of the current list to the tail of the list\n */\n exports.putlast = function (source, operator) {\n var results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,1);\n return results.slice(count).concat(results.slice(0, count));\n };\n\n /*\n Moves the item named in the operand a number of places forward or backward in the list\n */\n exports.move = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1),\n marker = results.splice(index, 1),\n offset = (index + count) > 0 ? index + count : 0;\n return results.slice(0, offset).concat(marker).concat(results.slice(offset));\n };\n\n /*\n Returns the items from the current list that are after the item named in the operand\n */\n exports.allafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1) ? [] :\n (operator.suffix) ? results.slice(index) :\n results.slice(index + 1);\n };\n\n /*\n Returns the items from the current list that are before the item named in the operand\n */\n exports.allbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1) ? [] :\n (operator.suffix) ? results.slice(0, index + 1) :\n results.slice(0, index);\n };\n\n /*\n Appends the items listed in the operand array to the tail of the current list\n */\n exports.append = function (source, operator) {\n var append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || append.length;\n return (append.length === 0) ? results :\n (operator.prefix) ? results.concat(append.slice(-count)) :\n results.concat(append.slice(0, count));\n };\n\n /*\n Prepends the items listed in the operand array to the head of the current list\n */\n exports.prepend = function (source, operator) {\n var prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,prepend.length);\n return (prepend.length === 0) ? results :\n (operator.prefix) ? prepend.slice(-count).concat(results) :\n prepend.slice(0, count).concat(results);\n };\n\n /*\n Returns all items from the current list except the items listed in the operand array\n */\n exports.remove = function (source, operator) {\n var array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || array.length,\n p,\n len,\n index;\n len = array.length - 1;\n for (p = 0; p < count; ++p) {\n if (operator.prefix) {\n index = results.indexOf(array[len - p]);\n } else {\n index = results.indexOf(array[p]);\n }\n if (index !== -1) {\n results.splice(index, 1);\n }\n }\n return results;\n };\n\n /*\n Returns all items from the current list sorted in the order of the items in the operand array\n */\n exports.sortby = function (source, operator) {\n var results = prepare_results(source);\n if (!results || results.length < 2) {\n return results;\n }\n var lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n results.sort(function (a, b) {\n return lookup.indexOf(a) - lookup.indexOf(b);\n });\n return results;\n };\n\n /*\n Removes all duplicate items from the current list\n */\n exports.unique = function (source, operator) {\n var results = prepare_results(source);\n var set = results.reduce(function (a, b) {\n if (a.indexOf(b) < 0) {\n a.push(b);\n }\n return a;\n }, []);\n return set;\n };\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters.js": {
"title": "$:/core/modules/filters.js",
"text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\t// The raw suffix for older filters\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t\t// The processed suffix for newer filters\n\t\t\toperator.suffixes = [];\n\t\t\t$tw.utils.each(operator.suffix.split(\":\"),function(subsuffix) {\n\t\t\t\toperator.suffixes.push([]);\n\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\tif(entry) {\n\t\t\t\t\t\toperator.suffixes[operator.suffixes.length - 1].push(entry); \n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\toperator.indirect = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\toperator.variable = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n// DEPRECATION WARNING\nconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t}\n\t\tif(!operator.regexp) {\n\t\t\toperator.operand = filterString.substring(p,nextBracketPos);\n\t\t}\n\t\tp = nextBracketPos + 1;\n\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[3] || match[4] || match[5]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operand: match[3] || match[4] || match[5]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operand = operator.operand,\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\tif(operator.indirect) {\n\t\t\t\t\toperand = self.getTextReference(operator.operand,\"\",currTiddlerTitle);\n\t\t\t\t}\n\t\t\t\tif(operator.variable) {\n\t\t\t\t\toperand = widget.getVariable(operator.operand,{defaultValue: \"\"});\n\t\t\t\t}\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operand,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tsuffixes: operator.suffixes,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"=\": // The results of the operation are pushed into the result without deduplication\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tArray.prototype.push.apply(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.removeArrayEntries(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\t\t\t\t\tsource = self.makeTiddlerIterator(results);\n\t\t\t\t\t\tresults.splice(0,results.length);\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"~\": // This operation is unioned into the result only if the main result so far is empty\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tif(results.length === 0) {\n\t\t\t\t\t\t\t// Main result so far is empty\n\t\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter: \" + filterString,function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = [];\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results;\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/indexers/backlinks-indexer.js": {
"title": "$:/core/modules/indexers/backlinks-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/backlinks-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers' backlinks\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\n\nfunction BacklinksIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nBacklinksIndexer.prototype.init = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype._getLinks = function(tiddler) {\n\tvar parser = this.wiki.parseText(tiddler.fields.type, tiddler.fields.text, {});\n\tif(parser) {\n\t\treturn this.wiki.extractLinks(parser.tree);\n\t}\n\treturn [];\n}\n\nBacklinksIndexer.prototype.update = function(updateDescriptor) {\n\tif(!this.index) {\n\t\treturn;\n\t}\n\tvar newLinks = [],\n\t oldLinks = [],\n\t self = this;\n\tif(updateDescriptor.old.exists) {\n\t\toldLinks = this._getLinks(updateDescriptor.old.tiddler);\n\t}\n\tif(updateDescriptor.new.exists) {\n\t\tnewLinks = this._getLinks(updateDescriptor.new.tiddler);\n\t}\n\n\t$tw.utils.each(oldLinks,function(link) {\n\t\tif(self.index[link]) {\n\t\t\tdelete self.index[link][updateDescriptor.old.tiddler.fields.title];\n\t\t}\n\t});\n\t$tw.utils.each(newLinks,function(link) {\n\t\tif(!self.index[link]) {\n\t\t\tself.index[link] = Object.create(null);\n\t\t}\n\t\tself.index[link][updateDescriptor.new.tiddler.fields.title] = true;\n\t});\n}\n\nBacklinksIndexer.prototype.lookup = function(title) {\n\tif(!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tvar self = this;\n\t\tthis.wiki.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self._getLinks(tiddler);\n\t\t\t$tw.utils.each(links, function(link) {\n\t\t\t\tif(!self.index[link]) {\n\t\t\t\t\tself.index[link] = Object.create(null);\n\t\t\t\t}\n\t\t\t\tself.index[link][title] = true;\n\t\t\t});\n\t\t});\n\t}\n\tif(this.index[title]) {\n\t\treturn Object.keys(this.index[title]);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nexports.BacklinksIndexer = BacklinksIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/field-indexer.js": {
"title": "$:/core/modules/indexers/field-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/field-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nvar DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH = 128;\n\nfunction FieldIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nFieldIndexer.prototype.init = function() {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH;\n\tthis.addIndexMethods();\n}\n\n// Provided for testing\nFieldIndexer.prototype.setMaxIndexedValueLength = function(length) {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = length;\n};\n\nFieldIndexer.prototype.addIndexMethods = function() {\n\tvar self = this;\n\tthis.wiki.each.byField = function(name,value) {\n\t\tvar titles = self.wiki.allTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachShadow.byField = function(name,value) {\n\t\tvar titles = self.wiki.allShadowTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachTiddlerPlusShadows.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n\tthis.wiki.eachShadowPlusTiddlers.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n};\n\n/*\nTear down and then rebuild the index as if all tiddlers have changed\n*/\nFieldIndexer.prototype.rebuild = function() {\n\t// Invalidate the index so that it will be rebuilt when it is next used\n\tthis.index = null;\n};\n\n/*\nBuild the index for a particular field\n*/\nFieldIndexer.prototype.buildIndexForField = function(name) {\n\tvar self = this;\n\t// Hashmap by field name of hashmap by field value of array of tiddler titles\n\tthis.index = this.index || Object.create(null);\n\tthis.index[name] = Object.create(null);\n\tvar baseIndex = this.index[name];\n\t// Update the index for each tiddler\n\tthis.wiki.eachTiddlerPlusShadows(function(tiddler,title) {\n\t\tif(name in tiddler.fields) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t// Skip any values above the maximum length\n\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\tbaseIndex[value] = baseIndex[value] || [];\n\t\t\t\tbaseIndex[value].push(title);\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nUpdate the index in the light of a tiddler value changing; note that the title must be identical. (Renames are handled as a separate delete and create)\nupdateDescriptor: {old: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>},new: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>}}\n*/\nFieldIndexer.prototype.update = function(updateDescriptor) {\n\tvar self = this;\n\t// Don't do anything if the index hasn't been built yet\n\tif(this.index === null) {\n\t\treturn;\n\t}\n\t// Remove the old tiddler from the index\n\tif(updateDescriptor.old.tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor.old.tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor.old.tiddler.getFieldString(name),\n\t\t\t\t\ttiddlerList = indexEntry[value];\n\t\t\t\tif(tiddlerList) {\n\t\t\t\t\tvar index = tiddlerList.indexOf(updateDescriptor.old.tiddler.fields.title);\n\t\t\t\t\tif(index !== -1) {\n\t\t\t\t\t\ttiddlerList.splice(index,1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// Add the new tiddler to the index\n\tif(updateDescriptor[\"new\"].tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor[\"new\"].tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor[\"new\"].tiddler.getFieldString(name);\n\t\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\t\tindexEntry[value] = indexEntry[value] || [];\n\t\t\t\t\tindexEntry[value].push(updateDescriptor[\"new\"].tiddler.fields.title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n// Lookup the given field returning a list of tiddler titles\nFieldIndexer.prototype.lookup = function(name,value) {\n\t// Fail the lookup if the value is too long\n\tif(value.length >= this.maxIndexedValueLength) {\n\t\treturn null;\n\t}\n\t// Update the index if it has yet to be built\n\tif(this.index === null || !this.index[name]) {\n\t\tthis.buildIndexForField(name);\n\t}\n\treturn this.index[name][value] || [];\n};\n\nexports.FieldIndexer = FieldIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/tag-indexer.js": {
"title": "$:/core/modules/indexers/tag-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/tag-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nfunction TagIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nTagIndexer.prototype.init = function() {\n\tthis.subIndexers = [\n\t\tnew TagSubIndexer(this,\"each\"),\n\t\tnew TagSubIndexer(this,\"eachShadow\"),\n\t\tnew TagSubIndexer(this,\"eachTiddlerPlusShadows\"),\n\t\tnew TagSubIndexer(this,\"eachShadowPlusTiddlers\")\n\t];\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.addIndexMethod();\n\t});\n};\n\nTagIndexer.prototype.rebuild = function() {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.rebuild();\n\t});\n};\n\nTagIndexer.prototype.update = function(updateDescriptor) {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.update(updateDescriptor);\n\t});\n};\n\nfunction TagSubIndexer(indexer,iteratorMethod) {\n\tthis.indexer = indexer;\n\tthis.iteratorMethod = iteratorMethod;\n\tthis.index = null; // Hashmap of tag title to {isSorted: bool, titles: [array]} or null if not yet initialised\n}\n\nTagSubIndexer.prototype.addIndexMethod = function() {\n\tvar self = this;\n\tthis.indexer.wiki[this.iteratorMethod].byTag = function(tag) {\n\t\treturn self.lookup(tag).slice(0);\n\t};\n};\n\nTagSubIndexer.prototype.rebuild = function() {\n\tvar self = this;\n\t// Hashmap by tag of array of {isSorted:, titles:[]}\n\tthis.index = Object.create(null);\n\t// Add all the tags\n\tthis.indexer.wiki[this.iteratorMethod](function(tiddler,title) {\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\tif(!self.index[tag]) {\n\t\t\t\tself.index[tag] = {isSorted: false, titles: [title]};\n\t\t\t} else {\n\t\t\t\tself.index[tag].titles.push(title);\n\t\t\t}\n\t\t});\t\t\n\t});\n};\n\nTagSubIndexer.prototype.update = function(updateDescriptor) {\n\tthis.index = null;\n};\n\nTagSubIndexer.prototype.lookup = function(tag) {\n\t// Update the index if it has yet to be built\n\tif(this.index === null) {\n\t\tthis.rebuild();\n\t}\n\tvar indexRecord = this.index[tag];\n\tif(indexRecord) {\n\t\tif(!indexRecord.isSorted) {\n\t\t\tif(this.indexer.wiki.sortByList) {\n\t\t\t\tindexRecord.titles = this.indexer.wiki.sortByList(indexRecord.titles,tag);\n\t\t\t}\t\t\t\n\t\t\tindexRecord.isSorted = true;\n\t\t}\n\t\treturn indexRecord.titles;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n\nexports.TagIndexer = TagIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/info/platform.js": {
"title": "$:/core/modules/info/platform.js",
"text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function() {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\tif($tw.browser) {\n\t\t// Document location\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\t\t\t\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t\t// Screen size\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/width\", text: window.screen.width.toString()});\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/height\", text: window.screen.height.toString()});\n\t\t// Language\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/language\", text: navigator.language || \"\"});\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "info"
},
"$:/core/modules/keyboard.js": {
"title": "$:/core/modules/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n\tthis.shortcutKeysList = [], // Stores the shortcut-key descriptors\n\tthis.shortcutActionList = [], // Stores the corresponding action strings\n\tthis.shortcutParsedList = []; // Stores the parsed key descriptors\n\tthis.lookupNames = [\"shortcuts\"];\n\tthis.lookupNames.push($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\")\n\tthis.lookupNames.push($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\tthis.lookupNames.push($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\tthis.updateShortcutLists(this.getShortcutTiddlerList());\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.handleShortcutChanges(changes);\n\t});\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t$tw.utils.each(self.lookupNames,function(platformDescriptor) {\n\t\t\t\t\tlookupName(platformDescriptor);\n\t\t\t\t});\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.getShortcutTiddlerList = function() {\n\treturn $tw.wiki.getTiddlersWithTag(\"$:/tags/KeyboardShortcut\");\n};\n\nKeyboardManager.prototype.updateShortcutLists = function(tiddlerList) {\n\tthis.shortcutTiddlers = tiddlerList;\n\tfor(var i=0; i<tiddlerList.length; i++) {\n\t\tvar title = tiddlerList[i],\n\t\t\ttiddlerFields = $tw.wiki.getTiddler(title).fields;\n\t\tthis.shortcutKeysList[i] = tiddlerFields.key !== undefined ? tiddlerFields.key : undefined;\n\t\tthis.shortcutActionList[i] = tiddlerFields.text;\n\t\tthis.shortcutParsedList[i] = this.shortcutKeysList[i] !== undefined ? this.parseKeyDescriptors(this.shortcutKeysList[i]) : undefined;\n\t}\n};\n\nKeyboardManager.prototype.handleKeydownEvent = function(event) {\n\tvar key, action;\n\tfor(var i=0; i<this.shortcutTiddlers.length; i++) {\n\t\tif(this.shortcutParsedList[i] !== undefined && this.checkKeyDescriptors(event,this.shortcutParsedList[i])) {\n\t\t\tkey = this.shortcutParsedList[i];\n\t\t\taction = this.shortcutActionList[i];\n\t\t}\n\t}\n\tif(key !== undefined) {\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\t$tw.rootWidget.invokeActionString(action,$tw.rootWidget);\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.detectNewShortcuts = function(changedTiddlers) {\n\tvar shortcutConfigTiddlers = [],\n\t\thandled = false;\n\t$tw.utils.each(this.lookupNames,function(platformDescriptor) {\n\t\tvar descriptorString = \"$:/config/\" + platformDescriptor + \"/\";\n\t\tObject.keys(changedTiddlers).forEach(function(configTiddler) {\n\t\t\tvar configString = configTiddler.substr(0, configTiddler.lastIndexOf(\"/\") + 1);\n\t\t\tif(configString === descriptorString) {\n\t\t\t\tshortcutConfigTiddlers.push(configTiddler);\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t});\n\t});\n\tif(handled) {\n\t\treturn $tw.utils.hopArray(changedTiddlers,shortcutConfigTiddlers);\n\t} else {\n\t\treturn false;\n\t}\n};\n\nKeyboardManager.prototype.handleShortcutChanges = function(changedTiddlers) {\n\tvar newList = this.getShortcutTiddlerList();\n\tvar hasChanged = $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers) ? true :\n\t\t($tw.utils.hopArray(changedTiddlers,newList) ? true :\n\t\t(this.detectNewShortcuts(changedTiddlers))\n\t);\n\t// Re-cache shortcuts if something changed\n\tif(hasChanged) {\n\t\tthis.updateShortcutLists(newList);\n\t}\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/language.js": {
"title": "$:/core/modules/language.js",
"text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/macros/changecount.js": {
"title": "$:/core/modules/macros/changecount.js",
"text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/contrastcolour.js": {
"title": "$:/core/modules/macros/contrastcolour.js",
"text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/csvtiddlers.js": {
"title": "$:/core/modules/macros/csvtiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/displayshortcuts.js": {
"title": "$:/core/modules/macros/displayshortcuts.js",
"text": "/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddler.js": {
"title": "$:/core/modules/macros/jsontiddler.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddlers.js": {
"title": "$:/core/modules/macros/jsontiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"spaces\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,spaces) {\n\treturn this.wiki.getTiddlersAsJson(filter,$tw.utils.parseInt(spaces));\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/makedatauri.js": {
"title": "$:/core/modules/macros/makedatauri.js",
"text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"},\n\t{name: \"_canonical_uri\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type,_canonical_uri) {\n\treturn $tw.utils.makeDataUri(text,type,_canonical_uri);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/now.js": {
"title": "$:/core/modules/macros/now.js",
"text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/qualify.js": {
"title": "$:/core/modules/macros/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/resolvepath.js": {
"title": "$:/core/modules/macros/resolvepath.js",
"text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/unusedtitle.js": {
"title": "$:/core/modules/macros/unusedtitle.js",
"text": "/*\\\ntitle: $:/core/modules/macros/unusedtitle.js\ntype: application/javascript\nmodule-type: macro\nMacro to return a new title that is unused in the wiki. It can be given a name as a base.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"unusedtitle\";\n\nexports.params = [\n\t{name: \"baseName\"},\n\t{name: \"options\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(baseName, options) {\n\tif(!baseName) {\n\t\tbaseName = $tw.language.getString(\"DefaultNewTiddlerTitle\");\n\t}\n\treturn this.wiki.generateNewTitle(baseName, options);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/version.js": {
"title": "$:/core/modules/macros/version.js",
"text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/parsers/audioparser.js": {
"title": "$:/core/modules/parsers/audioparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/binaryparser.js": {
"title": "$:/core/modules/parsers/binaryparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/binaryparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe binary parser parses a binary tiddler into a warning message and download link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar BinaryParser = function(type,text,options) {\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on binary tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!title\"}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to external or internal data URI\n\tif(options._canonical_uri) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: options._canonical_uri\n\t\t};\n\t} else if(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/octet-stream\"] = BinaryParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/csvparser.js": {
"title": "$:/core/modules/parsers/csvparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/htmlparser.js": {
"title": "$:/core/modules/parsers/htmlparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/imageparser.js": {
"title": "$:/core/modules/parsers/imageparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t};\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/webp\"] = ImageParser;\nexports[\"image/heic\"] = ImageParser;\nexports[\"image/heif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/utils/parseutils.js": {
"title": "$:/core/modules/utils/parseutils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{(.+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/parsers/pdfparser.js": {
"title": "$:/core/modules/parsers/pdfparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"embed\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/textparser.js": {
"title": "$:/core/modules/parsers/textparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/videoparser.js": {
"title": "$:/core/modules/parsers/videoparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/ogg\"] = VideoParser;\nexports[\"video/webm\"] = VideoParser;\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/dash.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"–\" : \"—\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/entity.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: ©\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/extlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/heading.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/html.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/html.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.slice(1).indexOf(\"$\") !== -1) {\n\t\treturn null;\n\t}\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/image.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/image.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/import.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/import.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/import.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for importing variable definitions\n\n```\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"import\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\import[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the filter terminated by a line break\n\tvar reMatch = /(.*)(\\r?\\n)|$/mg;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\tthis.parser.pos = reMatch.lastIndex;\n\t// Parse tree nodes to return\n\treturn [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: match[1]}\n\t\t},\n\t\tchildren: []\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/list.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/list.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"div\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params,\n\t\tisMacroDefinition: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/rules.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/syslink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/table.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/table.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/whitespace.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/whitespace.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/wikiparser.js": {
"title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = false;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t// Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex));\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index));\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex));\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar keepFilter;\n\tif(type === \"only\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) !== -1;\n\t\t};\n\t} else if(type === \"except\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) === -1;\n\t\t};\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif(!keepFilter(ruleArray[t].rule.name)) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/pluginswitcher.js": {
"title": "$:/core/modules/pluginswitcher.js",
"text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Read the plugin info for the incoming plugins\n\tvar changes = $tw.wiki.readPluginInfo(plugins);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/saver-handler.js": {
"title": "$:/core/modules/saver-handler.js",
"text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.preloadDirty = options.preloadDirty || [];\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(self.preloadDirty,function(title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t});\n\t\tthis.numChanges = filteredChanges.length;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\";\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\") {\n\t\treturn false;\n\t}\n\tvar\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/savers/andtidwiki.js": {
"title": "$:/core/modules/savers/andtidwiki.js",
"text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback,options) {\n\tvar filename = options && options.variables ? options.variables.filename : null;\n\tif (method === \"download\") {\n\t\t// Support download\n\t\tif (window.twi.saveDownload) {\n\t\t\ttry {\n\t\t\t\twindow.twi.saveDownload(text,filename);\n\t\t\t} catch(err) {\n\t\t\t\tif (err.message === \"Method not found\") {\n\t\t\t\t\twindow.twi.saveDownload(text);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tvar link = document.createElement(\"a\");\n\t\t\tlink.setAttribute(\"href\",\"data:text/plain,\" + encodeURIComponent(text));\n\t\t\tif (filename) {\n\t\t\t link.setAttribute(\"download\",filename);\n\t\t\t}\n\t\t\tdocument.body.appendChild(link);\n\t\t\tlink.click();\n\t\t\tdocument.body.removeChild(link);\n\t\t}\n\t} else if (window.twi.saveWiki) {\n\t\t// Direct save in Tiddloid\n\t\twindow.twi.saveWiki(text);\n\t} else {\n\t\t// Get the pathname of this document\n\t\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t\t// Strip the file://\n\t\tif(pathname.indexOf(\"file://\") === 0) {\n\t\t\tpathname = pathname.substr(7);\n\t\t}\n\t\t// Strip any query or location part\n\t\tvar p = pathname.indexOf(\"?\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\tp = pathname.indexOf(\"#\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\t// Save the file\n\t\twindow.twi.saveFile(pathname,text);\n\t}\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/beaker.js": {
"title": "$:/core/modules/savers/beaker.js",
"text": "/*\\\ntitle: $:/core/modules/savers/beaker.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Beaker browser's (https://beakerbrowser.com) Dat protocol (https://datproject.org/)\nCompatible with beaker >= V0.7.2\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar BeakerSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nBeakerSaver.prototype.save = function(text,method,callback) {\n\tvar dat = new DatArchive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Beaker Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Beaker Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nBeakerSaver.prototype.info = {\n\tname: \"beaker\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.DatArchive && location.protocol===\"dat:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new BeakerSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/download.js": {
"title": "$:/core/modules/savers/download.js",
"text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = decodeURIComponent(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/fsosaver.js": {
"title": "$:/core/modules/savers/fsosaver.js",
"text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitea.js": {
"title": "$:/core/modules/savers/gitea.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitea.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the gitea\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GiteaSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGiteaSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/Gitea/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"Gitea\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/Gitea/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/Gitea/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/Gitea/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/Gitea/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/Gitea/ServerURL\") || \"https://gitea\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar use_put = true;\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(sha === \"\"){\n\t\t\t\t\tuse_put = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: endpoint + \"/repos/\" + repo + \"/branches/\" + branch,\n\t\t\t\ttype: \"GET\",\n\t\t\t\theaders: headers,\n\t\t\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\t\t\tif(xhr.status === 404) {\n\t\t\t\t\t\tcallback(\"Please ensure the branch in the Gitea repo exists\");\n\t\t\t\t\t}else{\n\t\t\t\t\t\tdata[\"branch\"] = branch;\n\t\t\t\t\t\tself.upload(uri + filename, use_put?\"PUT\":\"POST\", headers, data, callback);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\nGiteaSaver.prototype.upload = function(uri,method,headers,data,callback) {\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: method,\n\t\theaders: headers,\n\t\tdata: JSON.stringify(data),\n\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\tcallback(null);\n\t\t}\n\t});\n};\n\n/*\nInformation about this saver\n*/\nGiteaSaver.prototype.info = {\n\tname: \"Gitea\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GiteaSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/github.js": {
"title": "$:/core/modules/savers/github.js",
"text": "/*\\\ntitle: $:/core/modules/savers/github.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitHub v3 REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitHubSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitHubSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitHub/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"github\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitHub/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitHub/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitHub/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitHub/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitHub/ServerURL\") || \"https://api.github.com\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/vnd.github.v3+json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a PUT request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + filename,\n\t\t\t\ttype: \"PUT\",\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitHubSaver.prototype.info = {\n\tname: \"github\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitHubSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitlab.js": {
"title": "$:/core/modules/savers/gitlab.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitlab.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitLab REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: true */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitLabSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitLabSaver.prototype.save = function(text,method,callback) {\n\t/* See https://docs.gitlab.com/ee/api/repository_files.html */\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitLab/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"gitlab\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitLab/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitLab/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitLab/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitLab/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitLab/ServerURL\") || \"https://gitlab.com/api/v4\",\n\t\theaders = {\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Private-Token\": password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/projects/\" + encodeURIComponent(repo) + \"/repository/\";\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri + \"tree/?path=\" + encodeURIComponent(path.replace(/^\\/+|\\/$/g, '')) + \"&branch=\" + encodeURIComponent(branch.replace(/^\\/+|\\/$/g, '')),\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar requestType = \"POST\";\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\trequestType = \"PUT\";\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tcommit_message: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: text,\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + \"files/\" + encodeURIComponent(path.replace(/^\\/+/, '') + filename),\n\t\t\t\ttype: requestType,\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitLabSaver.prototype.info = {\n\tname: \"gitlab\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitLabSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/manualdownload.js": {
"title": "$:/core/modules/savers/manualdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/msdownload.js": {
"title": "$:/core/modules/savers/msdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/put.js": {
"title": "$:/core/modules/savers/put.js",
"text": "/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRetrieve ETag if available\n*/\nvar retrieveETag = function(self) {\n\tvar headers = {\n\t\tAccept: \"*/*;charset=UTF-8\"\n\t};\n\t$tw.utils.httpRequest({\n\t\turl: self.uri(),\n\t\ttype: \"HEAD\",\n\t\theaders: headers,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvar etag = xhr.getResponseHeader(\"ETag\");\n\t\t\tif(!etag) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tself.etag = etag.replace(/^W\\//,\"\");\n\t\t}\n\t});\n};\n\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err,data,xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\tretrieveETag(this);\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text,method,callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = {\n\t\t\"Content-Type\": \"text/html;charset=UTF-8\"\n\t};\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\t// response is textual: \"XMLHttpRequest error code: 412\"\n\t\t\t\tvar status = Number(err.substring(err.indexOf(':') + 2, err.length))\n\t\t\t\tif(status === 412) { // edit conflict\n\t\t\t\t\tvar message = $tw.language.getString(\"Error/EditConflict\");\n\t\t\t\t\tcallback(message);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(err); // fail\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tif(self.etag == null) {\n\t\t\t\t\tretrieveETag(self);\n\t\t\t\t}\n\t\t\t\tcallback(null); // success\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyfox.js": {
"title": "$:/core/modules/savers/tiddlyfox.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyie.js": {
"title": "$:/core/modules/savers/tiddlyie.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/twedit.js": {
"title": "$:/core/modules/savers/twedit.js",
"text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/upload.js": {
"title": "$:/core/modules/savers/upload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/server/authenticators/basic.js": {
"title": "$:/core/modules/server/authenticators/basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/basic.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for WWW basic authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\");\n}\n\nfunction BasicAuthenticator(server) {\n\tthis.server = server;\n\tthis.credentialsData = [];\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nBasicAuthenticator.prototype.init = function() {\n\t// Read the credentials data\n\tthis.credentialsFilepath = this.server.get(\"credentials\");\n\tif(this.credentialsFilepath) {\n\t\tvar resolveCredentialsFilepath = path.resolve($tw.boot.wikiPath,this.credentialsFilepath);\n\t\tif(fs.existsSync(resolveCredentialsFilepath) && !fs.statSync(resolveCredentialsFilepath).isDirectory()) {\n\t\t\tvar credentialsText = fs.readFileSync(resolveCredentialsFilepath,\"utf8\"),\n\t\t\t\tcredentialsData = $tw.utils.parseCsvStringWithHeader(credentialsText);\n\t\t\tif(typeof credentialsData === \"string\") {\n\t\t\t\treturn \"Error: \" + credentialsData + \" reading credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t\t} else {\n\t\t\t\tthis.credentialsData = credentialsData;\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"Error: Unable to load user credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t}\n\t}\n\t// Add the hardcoded username and password if specified\n\tif(this.server.get(\"username\") && this.server.get(\"password\")) {\n\t\tthis.credentialsData = this.credentialsData || [];\n\t\tthis.credentialsData.push({\n\t\t\tusername: this.server.get(\"username\"),\n\t\t\tpassword: this.server.get(\"password\")\n\t\t});\n\t}\n\treturn this.credentialsData.length > 0;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nBasicAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Extract the incoming username and password from the request\n\tvar header = request.headers.authorization || \"\";\n\tif(!header && state.allowAnon) {\n\t\t// If there's no header and anonymous access is allowed then we don't set authenticatedUsername\n\t\treturn true;\n\t}\n\tvar token = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tincomingUsername = parts[0],\n\t\tincomingPassword = parts[1];\n\t// Check that at least one of the credentials matches\n\tvar matchingCredentials = this.credentialsData.find(function(credential) {\n\t\treturn credential.username === incomingUsername && credential.password === incomingPassword;\n\t});\n\tif(matchingCredentials) {\n\t\t// If so, add the authenticated username to the request state\n\t\tstate.authenticatedUsername = incomingUsername;\n\t\treturn true;\n\t} else {\n\t\t// If not, return an authentication challenge\n\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t\treturn false;\n\t}\n};\n\nexports.AuthenticatorClass = BasicAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/authenticators/header.js": {
"title": "$:/core/modules/server/authenticators/header.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/header.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for trusted header authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction HeaderAuthenticator(server) {\n\tthis.server = server;\n\tthis.header = server.get(\"authenticated-user-header\");\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nHeaderAuthenticator.prototype.init = function() {\n\treturn !!this.header;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nHeaderAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Otherwise, authenticate as the username in the specified header\n\tvar username = request.headers[this.header];\n\tif(!username && !state.allowAnon) {\n\t\tresponse.writeHead(401,\"Authorization header required to login to '\" + state.server.servername + \"'\");\n\t\tresponse.end();\n\t\treturn false;\n\t} else {\n\t\t// authenticatedUsername will be undefined for anonymous users\n\t\tstate.authenticatedUsername = username;\n\t\treturn true;\n\t}\n};\n\nexports.AuthenticatorClass = HeaderAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/routes/delete-tiddler.js": {
"title": "$:/core/modules/server/routes/delete-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/delete-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nDELETE /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"DELETE\";\n\nexports.path = /^\\/bags\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]);\n\tstate.wiki.deleteTiddler(title);\n\tresponse.writeHead(204, \"OK\", {\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-favicon.js": {
"title": "$:/core/modules/server/routes/get-favicon.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-favicon.js\ntype: application/javascript\nmodule-type: route\n\nGET /favicon.ico\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/favicon.ico$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\tresponse.end(buffer,\"base64\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-file.js": {
"title": "$:/core/modules/server/routes/get-file.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-file.js\ntype: application/javascript\nmodule-type: route\n\nGET /files/:filepath\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/files\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar path = require(\"path\"),\n\t\tfs = require(\"fs\"),\n\t\tutil = require(\"util\"),\n\t\tsuppliedFilename = decodeURIComponent(state.params[0]),\n\t\tfilename = path.resolve($tw.boot.wikiPath,\"files\",suppliedFilename),\n\t\textension = path.extname(filename);\n\tfs.readFile(filename,function(err,content) {\n\t\tvar status,content,type = \"text/plain\";\n\t\tif(err) {\n\t\t\tconsole.log(\"Error accessing file \" + filename + \": \" + err.toString());\n\t\t\tstatus = 404;\n\t\t\tcontent = \"File '\" + suppliedFilename + \"' not found\";\n\t\t} else {\n\t\t\tstatus = 200;\n\t\t\tcontent = content;\n\t\t\ttype = ($tw.config.fileExtensionInfo[extension] ? $tw.config.fileExtensionInfo[extension].type : \"application/octet-stream\");\n\t\t}\n\t\tresponse.writeHead(status,{\n\t\t\t\"Content-Type\": type\n\t\t});\n\t\tresponse.end(content);\n\t});\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-index.js": {
"title": "$:/core/modules/server/routes/get-index.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-index.js\ntype: application/javascript\nmodule-type: route\n\nGET /\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar zlib = require(\"zlib\");\n\nexports.method = \"GET\";\n\nexports.path = /^\\/$/;\n\nexports.handler = function(request,response,state) {\n\tvar acceptEncoding = request.headers[\"accept-encoding\"];\n\tif(!acceptEncoding) {\n\t\tacceptEncoding = \"\";\n\t}\n\tvar text = state.wiki.renderTiddler(state.server.get(\"root-render-type\"),state.server.get(\"root-tiddler\")),\n\t\tresponseHeaders = {\n\t\t\"Content-Type\": state.server.get(\"root-serve-type\")\n\t};\n\t/*\n\tIf the gzip=yes flag for `listen` is set, check if the user agent permits\n\tcompression. If so, compress our response. Note that we use the synchronous\n\tfunctions from zlib to stay in the imperative style. The current `Server`\n\tdoesn't depend on this, and we may just as well use the async versions.\n\t*/\n\tif(state.server.enableGzip) {\n\t\tif (/\\bdeflate\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"deflate\";\n\t\t\ttext = zlib.deflateSync(text);\n\t\t} else if (/\\bgzip\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"gzip\";\n\t\t\ttext = zlib.gzipSync(text);\n\t\t}\n\t}\n\tresponse.writeHead(200,responseHeaders);\n\tresponse.end(text);\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-login-basic.js": {
"title": "$:/core/modules/server/routes/get-login-basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-login-basic.js\ntype: application/javascript\nmodule-type: route\n\nGET /login-basic -- force a Basic Authentication challenge\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/login-basic$/;\n\nexports.handler = function(request,response,state) {\n\tif(!state.authenticatedUsername) {\n\t\t// Challenge if there's no username\n\t\tresponse.writeHead(401,{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\t\t\n\t} else {\n\t\t// Redirect to the root wiki if login worked\n\t\tresponse.writeHead(302,{\n\t\t\tLocation: \"/\"\n\t\t});\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-status.js": {
"title": "$:/core/modules/server/routes/get-status.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-status.js\ntype: application/javascript\nmodule-type: route\n\nGET /status\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/status$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar text = JSON.stringify({\n\t\tusername: state.authenticatedUsername || state.server.get(\"anon-username\") || \"\",\n\t\tanonymous: !state.authenticatedUsername,\n\t\tread_only: !state.server.isAuthorized(\"writers\",state.authenticatedUsername),\n\t\tspace: {\n\t\t\trecipe: \"default\"\n\t\t},\n\t\ttiddlywiki_version: $tw.version\n\t});\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler-html.js": {
"title": "$:/core/modules/server/routes/get-tiddler-html.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler-html.js\ntype: application/javascript\nmodule-type: route\n\nGET /:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/([^\\/]+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar renderType = tiddler.getFieldString(\"_render_type\"),\n\t\t\trenderTemplate = tiddler.getFieldString(\"_render_template\");\n\t\t// Tiddler fields '_render_type' and '_render_template' overwrite\n\t\t// system wide settings for render type and template\n\t\tif(state.wiki.isSystemTiddler(title)) {\n\t\t\trenderType = renderType || state.server.get(\"system-tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"system-tiddler-render-template\");\n\t\t} else {\n\t\t\trenderType = renderType || state.server.get(\"tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"tiddler-render-template\");\n\t\t}\n\t\tvar text = state.wiki.renderTiddler(renderType,renderTemplate,{parseAsInline: true, variables: {currentTiddler: title}});\n\t\t// Naughty not to set a content-type, but it's the easiest way to ensure the browser will see HTML pages as HTML, and accept plain text tiddlers as CSS or JS\n\t\tresponse.writeHead(200);\n\t\tresponse.end(text,\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler.js": {
"title": "$:/core/modules/server/routes/get-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title),\n\t\ttiddlerFields = {},\n\t\tknownFields = [\n\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t];\n\tif(tiddler) {\n\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\ttiddlerFields[name] = value;\n\t\t\t} else {\n\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t}\n\t\t});\n\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\ttiddlerFields.bag = \"default\";\n\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddlers-json.js": {
"title": "$:/core/modules/server/routes/get-tiddlers-json.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddlers-json.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/tiddlers.json?filter=<filter>\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_FILTER = \"[all[tiddlers]!is[system]sort[title]]\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers.json$/;\n\nexports.handler = function(request,response,state) {\n\tvar filter = state.queryParameters.filter || DEFAULT_FILTER;\n\tif($tw.wiki.getTiddlerText(\"$:/config/Server/AllowAllExternalFilters\") !== \"yes\") {\n\t\tif($tw.wiki.getTiddlerText(\"$:/config/Server/ExternalFilters/\" + filter) !== \"yes\") {\n\t\t\tconsole.log(\"Blocked attempt to GET /recipes/default/tiddlers/tiddlers.json with filter: \" + filter);\n\t\t\tresponse.writeHead(403);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\tvar excludeFields = (state.queryParameters.exclude || \"text\").split(\",\"),\n\t\ttitles = state.wiki.filterTiddlers(filter);\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar tiddlers = [];\n\t$tw.utils.each(titles,function(title) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tvar tiddlerFields = tiddler.getFieldStrings({exclude: excludeFields});\n\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\ttiddlers.push(tiddlerFields);\n\t\t}\n\t});\n\tvar text = JSON.stringify(tiddlers);\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/put-tiddler.js": {
"title": "$:/core/modules/server/routes/put-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/put-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nPUT /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"PUT\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\tfields = JSON.parse(state.data);\n\t// Pull up any subfields in the `fields` object\n\tif(fields.fields) {\n\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\tfields[name] = field;\n\t\t});\n\t\tdelete fields.fields;\n\t}\n\t// Remove any revision field\n\tif(fields.revision) {\n\t\tdelete fields.revision;\n\t}\n\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\tresponse.writeHead(204, \"OK\",{\n\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/server.js": {
"title": "$:/core/modules/server/server.js",
"text": "/*\\\ntitle: $:/core/modules/server/server.js\ntype: application/javascript\nmodule-type: library\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\tquerystring = require(\"querystring\");\n}\n\n/*\nA simple HTTP server with regexp-based routes\noptions: variables - optional hashmap of variables to set (a misnomer - they are really constant parameters)\n\t\t routes - optional array of routes to use\n\t\t wiki - reference to wiki object\n*/\nfunction Server(options) {\n\tvar self = this;\n\tthis.routes = options.routes || [];\n\tthis.authenticators = options.authenticators || [];\n\tthis.wiki = options.wiki;\n\tthis.servername = $tw.utils.transliterateToSafeASCII(this.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\");\n\t// Initialise the variables\n\tthis.variables = $tw.utils.extend({},this.defaultVariables);\n\tif(options.variables) {\n\t\tfor(var variable in options.variables) {\n\t\t\tif(options.variables[variable]) {\n\t\t\t\tthis.variables[variable] = options.variables[variable];\n\t\t\t}\n\t\t}\t\t\n\t}\n\t$tw.utils.extend({},this.defaultVariables,options.variables);\n\t// Initialise CSRF\n\tthis.csrfDisable = this.get(\"csrf-disable\") === \"yes\";\n\t// Initialize Gzip compression\n\tthis.enableGzip = this.get(\"gzip\") === \"yes\";\n\t// Initialise authorization\n\tvar authorizedUserName = (this.get(\"username\") && this.get(\"password\")) ? this.get(\"username\") : \"(anon)\";\n\tthis.authorizationPrincipals = {\n\t\treaders: (this.get(\"readers\") || authorizedUserName).split(\",\").map($tw.utils.trim),\n\t\twriters: (this.get(\"writers\") || authorizedUserName).split(\",\").map($tw.utils.trim)\n\t}\n\t// Load and initialise authenticators\n\t$tw.modules.forEachModuleOfType(\"authenticator\", function(title,authenticatorDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addAuthenticator(authenticatorDefinition.AuthenticatorClass);\n\t});\n\t// Load route handlers\n\t$tw.modules.forEachModuleOfType(\"route\", function(title,routeDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addRoute(routeDefinition);\n\t});\n\t// Initialise the http vs https\n\tthis.listenOptions = null;\n\tthis.protocol = \"http\";\n\tvar tlsKeyFilepath = this.get(\"tls-key\"),\n\t\ttlsCertFilepath = this.get(\"tls-cert\");\n\tif(tlsCertFilepath && tlsKeyFilepath) {\n\t\tthis.listenOptions = {\n\t\t\tkey: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsKeyFilepath),\"utf8\"),\n\t\t\tcert: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsCertFilepath),\"utf8\")\n\t\t};\n\t\tthis.protocol = \"https\";\n\t}\n\tthis.transport = require(this.protocol);\n}\n\nServer.prototype.defaultVariables = {\n\tport: \"8080\",\n\thost: \"127.0.0.1\",\n\t\"root-tiddler\": \"$:/core/save/all\",\n\t\"root-render-type\": \"text/plain\",\n\t\"root-serve-type\": \"text/html\",\n\t\"tiddler-render-type\": \"text/html\",\n\t\"tiddler-render-template\": \"$:/core/templates/server/static.tiddler.html\",\n\t\"system-tiddler-render-type\": \"text/plain\",\n\t\"system-tiddler-render-template\": \"$:/core/templates/wikified-tiddler\",\n\t\"debug-level\": \"none\",\n\t\"gzip\": \"no\"\n};\n\nServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nServer.prototype.addAuthenticator = function(AuthenticatorClass) {\n\t// Instantiate and initialise the authenticator\n\tvar authenticator = new AuthenticatorClass(this),\n\t\tresult = authenticator.init();\n\tif(typeof result === \"string\") {\n\t\t$tw.utils.error(\"Error: \" + result);\n\t} else if(result) {\n\t\t// Only use the authenticator if it initialised successfully\n\t\tthis.authenticators.push(authenticator);\n\t}\n};\n\nServer.prototype.findMatchingRoute = function(request,state) {\n\tvar pathprefix = this.get(\"path-prefix\") || \"\";\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(pathprefix) {\n\t\t\tif(pathname.substr(0,pathprefix.length) === pathprefix) {\n\t\t\t\tpathname = pathname.substr(pathprefix.length) || \"/\";\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nServer.prototype.methodMappings = {\n\t\"GET\": \"readers\",\n\t\"OPTIONS\": \"readers\",\n\t\"HEAD\": \"readers\",\n\t\"PUT\": \"writers\",\n\t\"POST\": \"writers\",\n\t\"DELETE\": \"writers\"\n};\n\n/*\nCheck whether a given user is authorized for the specified authorizationType (\"readers\" or \"writers\"). Pass null or undefined as the username to check for anonymous access\n*/\nServer.prototype.isAuthorized = function(authorizationType,username) {\n\tvar principals = this.authorizationPrincipals[authorizationType] || [];\n\treturn principals.indexOf(\"(anon)\") !== -1 || (username && (principals.indexOf(\"(authenticated)\") !== -1 || principals.indexOf(username) !== -1));\n}\n\nServer.prototype.requestHandler = function(request,response) {\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = self.wiki;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\tstate.queryParameters = querystring.parse(state.urlInfo.query);\n\t// Get the principals authorized to access this resource\n\tvar authorizationType = this.methodMappings[request.method] || \"readers\";\n\t// Check for the CSRF header if this is a write\n\tif(!this.csrfDisable && authorizationType === \"writers\" && request.headers[\"x-requested-with\"] !== \"TiddlyWiki\") {\n\t\tresponse.writeHead(403,\"'X-Requested-With' header required to login to '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\t\t\n\t}\n\t// Check whether anonymous access is granted\n\tstate.allowAnon = this.isAuthorized(authorizationType,null);\n\t// Authenticate with the first active authenticator\n\tif(this.authenticators.length > 0) {\n\t\tif(!this.authenticators[0].authenticateRequest(request,response,state)) {\n\t\t\t// Bail if we failed (the authenticator will have sent the response)\n\t\t\treturn;\n\t\t}\t\t\n\t}\n\t// Authorize with the authenticated username\n\tif(!this.isAuthorized(authorizationType,state.authenticatedUsername)) {\n\t\tresponse.writeHead(401,\"'\" + state.authenticatedUsername + \"' is not authorized to access '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Optionally output debug info\n\tif(self.get(\"debug-level\") !== \"none\") {\n\t\tconsole.log(\"Request path:\",JSON.stringify(state.urlInfo));\n\t\tconsole.log(\"Request headers:\",JSON.stringify(request.headers));\n\t\tconsole.log(\"authenticatedUsername:\",state.authenticatedUsername);\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Receive the request body if necessary and hand off to the route handler\n\tif(route.bodyFormat === \"stream\" || request.method === \"GET\" || request.method === \"HEAD\") {\n\t\t// Let the route handle the request stream itself\n\t\troute.handler(request,response,state);\n\t} else if(route.bodyFormat === \"string\" || !route.bodyFormat) {\n\t\t// Set the encoding for the incoming request\n\t\trequest.setEncoding(\"utf8\");\n\t\tvar data = \"\";\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata += chunk.toString();\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = data;\n\t\t\troute.handler(request,response,state);\n\t\t});\n\t} else if(route.bodyFormat === \"buffer\") {\n\t\tvar data = [];\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata.push(chunk);\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = Buffer.concat(data);\n\t\t\troute.handler(request,response,state);\n\t\t})\n\t} else {\n\t\tresponse.writeHead(400,\"Invalid bodyFormat \" + route.bodyFormat + \" in route \" + route.method + \" \" + route.path.source);\n\t\tresponse.end();\n\t}\n};\n\n/*\nListen for requests\nport: optional port number (falls back to value of \"port\" variable)\nhost: optional host address (falls back to value of \"host\" variable)\nprefix: optional prefix (falls back to value of \"path-prefix\" variable)\n*/\nServer.prototype.listen = function(port,host,prefix) {\n\tvar self = this;\n\t// Handle defaults for port and host\n\tport = port || this.get(\"port\");\n\thost = host || this.get(\"host\");\n\tprefix = prefix || this.get(\"path-prefix\") || \"\";\n\t// Check for the port being a string and look it up as an environment variable\n\tif(parseInt(port,10).toString() !== port) {\n\t\tport = process.env[port] || 8080;\n\t}\n\t// Warn if required plugins are missing\n\tif(!$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\t// Create the server\n\tvar server;\n\tif(this.listenOptions) {\n\t\tserver = this.transport.createServer(this.listenOptions,this.requestHandler.bind(this));\n\t} else {\n\t\tserver = this.transport.createServer(this.requestHandler.bind(this));\n\t}\n\t// Display the port number after we've started listening (the port number might have been specified as zero, in which case we will get an assigned port)\n\tserver.on(\"listening\",function() {\n\t\tvar address = server.address();\n\t\t$tw.utils.log(\"Serving on \" + self.protocol + \"://\" + address.address + \":\" + address.port + prefix,\"brown/orange\");\n\t\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t});\n\t// Listen\n\treturn server.listen(port,host);\n};\n\nexports.Server = Server;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/browser-messaging.js": {
"title": "$:/core/modules/browser-messaging.js",
"text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\t$tw.utils.each(document.getElementsByTagName('iframe'), function(iframe) {\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t});\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\t// console.log(\"browser-messaging: \",document.location.toString())\n\t\t// console.log(\"browser-messaging: Received message from\",event.origin);\n\t\t// console.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/commands.js": {
"title": "$:/core/modules/startup/commands.js",
"text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/CSSescape.js": {
"title": "$:/core/modules/startup/CSSescape.js",
"text": "/*\\\ntitle: $:/core/modules/startup/CSSescape.js\ntype: application/javascript\nmodule-type: startup\n\nPolyfill for CSS.escape()\n\n\\*/\n(function(root,factory){\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"css-escape\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*! https://mths.be/cssescape v1.5.1 by @mathias | MIT license */\n// https://github.com/umdjs/umd/blob/master/returnExports.js\nexports.startup = factory(root);\n}(typeof global != 'undefined' ? global : this, function(root) {\n\n\tif (root.CSS && root.CSS.escape) {\n\t\treturn;\n\t}\n\n\t// https://drafts.csswg.org/cssom/#serialize-an-identifier\n\tvar cssEscape = function(value) {\n\t\tif (arguments.length == 0) {\n\t\t\tthrow new TypeError('`CSS.escape` requires an argument.');\n\t\t}\n\t\tvar string = String(value);\n\t\tvar length = string.length;\n\t\tvar index = -1;\n\t\tvar codeUnit;\n\t\tvar result = '';\n\t\tvar firstCodeUnit = string.charCodeAt(0);\n\t\twhile (++index < length) {\n\t\t\tcodeUnit = string.charCodeAt(index);\n\t\t\t// Note: there’s no need to special-case astral symbols, surrogate\n\t\t\t// pairs, or lone surrogates.\n\n\t\t\t// If the character is NULL (U+0000), then the REPLACEMENT CHARACTER\n\t\t\t// (U+FFFD).\n\t\t\tif (codeUnit == 0x0000) {\n\t\t\t\tresult += '\\uFFFD';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is in the range [\\1-\\1F] (U+0001 to U+001F) or is\n\t\t\t\t// U+007F, […]\n\t\t\t\t(codeUnit >= 0x0001 && codeUnit <= 0x001F) || codeUnit == 0x007F ||\n\t\t\t\t// If the character is the first character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039), […]\n\t\t\t\t(index == 0 && codeUnit >= 0x0030 && codeUnit <= 0x0039) ||\n\t\t\t\t// If the character is the second character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039) and the first character is a `-` (U+002D), […]\n\t\t\t\t(\n\t\t\t\t\tindex == 1 &&\n\t\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 &&\n\t\t\t\t\tfirstCodeUnit == 0x002D\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character-as-code-point\n\t\t\t\tresult += '\\\\' + codeUnit.toString(16) + ' ';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is the first character and is a `-` (U+002D), and\n\t\t\t\t// there is no second character, […]\n\t\t\t\tindex == 0 &&\n\t\t\t\tlength == 1 &&\n\t\t\t\tcodeUnit == 0x002D\n\t\t\t) {\n\t\t\t\tresult += '\\\\' + string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// If the character is not handled by one of the above rules and is\n\t\t\t// greater than or equal to U+0080, is `-` (U+002D) or `_` (U+005F), or\n\t\t\t// is in one of the ranges [0-9] (U+0030 to U+0039), [A-Z] (U+0041 to\n\t\t\t// U+005A), or [a-z] (U+0061 to U+007A), […]\n\t\t\tif (\n\t\t\t\tcodeUnit >= 0x0080 ||\n\t\t\t\tcodeUnit == 0x002D ||\n\t\t\t\tcodeUnit == 0x005F ||\n\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 ||\n\t\t\t\tcodeUnit >= 0x0041 && codeUnit <= 0x005A ||\n\t\t\t\tcodeUnit >= 0x0061 && codeUnit <= 0x007A\n\t\t\t) {\n\t\t\t\t// the character itself\n\t\t\t\tresult += string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// Otherwise, the escaped character.\n\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character\n\t\t\tresult += '\\\\' + string.charAt(index);\n\n\t\t}\n\t\treturn result;\n\t};\n\n\tif (!root.CSS) {\n\t\troot.CSS = {};\n\t}\n\n\troot.CSS.escape = cssEscape;\n\n}));\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/favicon.js": {
"title": "$:/core/modules/startup/favicon.js",
"text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",\"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text);\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/info.js": {
"title": "$:/core/modules/startup/info.js",
"text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_INFO_PLUGIN = \"$:/temp/info-plugin\";\n\nexports.startup = function() {\n\t// Collect up the info tiddlers\n\tvar infoTiddlerFields = {};\n\t// Give each info module a chance to fill in as many info tiddlers as they want\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tvar tiddlerFieldsArray = moduleExports.getInfoTiddlerFields(infoTiddlerFields);\n\t\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\t\tif(fields) {\n\t\t\t\t\tinfoTiddlerFields[fields.title] = fields;\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Bake the info tiddlers into a plugin. We use the non-standard plugin-type \"info\" because ordinary plugins are only registered asynchronously after being loaded dynamically\n\tvar fields = {\n\t\ttitle: TITLE_INFO_PLUGIN,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"info\",\n\t\ttext: JSON.stringify({tiddlers: infoTiddlerFields},null,$tw.config.preferences.jsonSpaces)\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\t$tw.wiki.readPluginInfo([TITLE_INFO_PLUGIN]);\n\t$tw.wiki.registerPluginTiddlers(\"info\");\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/load-modules.js": {
"title": "$:/core/modules/startup/load-modules.js",
"text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.wiki.addIndexersToWiki();\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/password.js": {
"title": "$:/core/modules/startup/password.js",
"text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/plugins.js": {
"title": "$:/core/modules/startup/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/startup/plugins.js\ntype: application/javascript\nmodule-type: startup\n\nStartup logic concerned with managing plugins\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"plugins\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE = \"$:/status/RequireReloadDueToPluginChange\";\n\nvar PREFIX_CONFIG_REGISTER_PLUGIN_TYPE = \"$:/config/RegisterPluginType/\";\n\nexports.startup = function() {\n\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"no\"});\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tvar changesToProcess = [],\n\t\t\trequireReloadDueToPluginChange = false;\n\t\t$tw.utils.each(Object.keys(changes),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\t\trequiresReload = $tw.wiki.doesPluginRequireReload(title);\n\t\t\tif(requiresReload) {\n\t\t\t\trequireReloadDueToPluginChange = true;\n\t\t\t} else if(tiddler) {\n\t\t\t\tvar pluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif($tw.wiki.getTiddlerText(PREFIX_CONFIG_REGISTER_PLUGIN_TYPE + (tiddler.fields[\"plugin-type\"] || \"\"),\"no\") === \"yes\") {\n\t\t\t\t\tchangesToProcess.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tif(requireReloadDueToPluginChange) {\n\t\t\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"yes\"});\n\t\t}\n\t\t// Read or delete the plugin info of the changed tiddlers\n\t\tif(changesToProcess.length > 0) {\n\t\t\tvar changes = $tw.wiki.readPluginInfo(changesToProcess);\n\t\t\tif(changes.modifiedPlugins.length > 0 || changes.deletedPlugins.length > 0) {\n\t\t\t\t// (Re-)register any modified plugins\n\t\t\t\t$tw.wiki.registerPluginTiddlers(null,changes.modifiedPlugins);\n\t\t\t\t// Unregister any deleted plugins\n\t\t\t\t$tw.wiki.unregisterPluginTiddlers(null,changes.deletedPlugins);\n\t\t\t\t// Unpack the shadow tiddlers\n\t\t\t\t$tw.wiki.unpackPluginTiddlers();\n\t\t\t}\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/render.js": {
"title": "$:/core/modules/startup/render.js",
"text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/PageTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar THROTTLE_REFRESH_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n \t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t})();\n\t// Remove any splash screen elements\n\tvar removeList = document.querySelectorAll(\".tc-remove-when-wiki-loaded\");\n\t$tw.utils.each(removeList,function(removeItem) {\n\t\tif(removeItem.parentNode) {\n\t\t\tremoveItem.parentNode.removeChild(removeItem);\n\t\t}\n\t});\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.hooks.invokeHook(\"th-page-refreshing\");\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only tiddlers that are throttled have changed\n\t\tvar onlyThrottledTiddlersHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !(tiddler.hasField(\"draft.of\") || tiddler.hasField(\"throttle.refresh\"))) {\n\t\t\t\tonlyThrottledTiddlersHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyThrottledTiddlersHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = THROTTLE_REFRESH_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/rootwidget.js": {
"title": "$:/core/modules/startup/rootwidget.js",
"text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject, event: event});\n\t});\n\t// Install the notification mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the copy-to-clipboard mechanism\n\t$tw.rootWidget.addEventListener(\"tm-copy-to-clipboard\",function(event) {\n\t\t$tw.utils.copyToClipboard(event.param);\n\t});\n\t// Install the tm-focus-selector message\n\t$tw.rootWidget.addEventListener(\"tm-focus-selector\",function(event) {\n\t\tvar selector = event.param || \"\",\n\t\t\telement;\n\t\ttry {\n\t\t\telement = document.querySelector(selector);\n\t\t} catch(e) {\n\t\t\tconsole.log(\"Error in selector: \",selector)\n\t\t}\n\t\tif(element && element.focus) {\n\t\t\telement.focus(event.paramObject);\n\t\t}\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tvar fullScreenDocument = event.event ? event.event.target.ownerDocument : document;\n\t\t\tif(event.param === \"enter\") {\n\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t} else if(event.param === \"exit\") {\n\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tif(fullScreenDocument[fullscreen._fullscreenElement]) {\n\t\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t\t} else {\n\t\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup.js": {
"title": "$:/core/modules/startup.js",
"text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.platform);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\t$tw.rootWidget = new widget.widget({\n\t\ttype: \"widget\",\n\t\tchildren: []\n\t},{\n\t\twiki: $tw.wiki,\n\t\tdocument: $tw.browser ? document : $tw.fakeDocument\n\t});\n\t// Execute any startup actions\n\tvar executeStartupTiddlers = function(tag) {\n\t\t$tw.utils.each($tw.wiki.filterTiddlers(\"[all[shadows+tiddlers]tag[\" + tag + \"]!has[draft.of]]\"),function(title) {\n\t\t\t$tw.rootWidget.invokeActionString($tw.wiki.getTiddlerText(title),$tw.rootWidget);\n\t\t});\n\t};\n\texecuteStartupTiddlers(\"$:/tags/StartupAction\");\n\tif($tw.browser) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Browser\");\t\t\n\t}\n\tif($tw.node) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Node\");\t\t\n\t}\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-GB\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Listen for shortcuts\n\tif($tw.browser) {\n\t\t$tw.utils.addEventListeners(document,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t}\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t}\n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({\n\t\twiki: $tw.wiki,\n\t\tdirtyTracking: !$tw.syncadaptor,\n\t\tpreloadDirty: $tw.boot.preloadDirty || []\n\t});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/story.js": {
"title": "$:/core/modules/startup/story.js",
"text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\nvar CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD = \"$:/config/Navigation/Permalinkview/CopyToClipboard\"; // Can be \"yes\" (default) or \"no\"\nvar CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/Permalinkview/UpdateAddressBar\"; // Can be \"yes\" (default) or \"no\"\n\n\n// Links to help, if there is no param\nvar HELP_OPEN_EXTERNAL_WINDOW = \"http://tiddlywiki.com/#WidgetMessage%3A%20tm-open-external-window\";\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers({\n\t\tdisableHistory: $tw.boot.disableStartupNavigation\n\t});\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for tm-open-external-window message\n\t\t$tw.rootWidget.addEventListener(\"tm-open-external-window\",function(event) {\n\t\t\tvar paramObject = event.paramObject || {},\n\t\t\t\tstrUrl = event.param || HELP_OPEN_EXTERNAL_WINDOW,\n\t\t\t\tstrWindowName = paramObject.windowName,\n\t\t\t\tstrWindowFeatures = paramObject.windowFeatures;\n\t\t\twindow.open(strUrl, strWindowName, strWindowFeatures);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\"\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\"\n\t\t\t});\t\t\t\t\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndisableHistory: if true $:/History is NOT updated\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// Update history\n\tif(!options.disableHistory) {\n\t\t// If a target tiddler was specified add it to the history stack\n\t\tif(target && target !== \"\") {\n\t\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t\t}\n\t\t\t$tw.wiki.addToHistory(target);\n\t\t} else if(storyList.length > 0) {\n\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t}\t\t\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.copyToClipboard: \"permalink\", \"permaview\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\t// Get the story and the history stack\n\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\ttargetTiddler = \"\";\n\tif(options.targetTiddler) {\n\t\ttargetTiddler = options.targetTiddler;\n\t} else {\n\t\t// The target tiddler is the one at the top of the stack\n\t\tif(historyList.length > 0) {\n\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t}\n\t\t// Blank the target tiddler if it isn't present in the story\n\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\ttargetTiddler = \"\";\n\t\t}\n\t}\n\t// Assemble the location hash\n\tswitch(options.updateAddressBar) {\n\t\tcase \"permalink\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t\tbreak;\n\t}\n\t// Copy URL to the clipboard\n\tswitch(options.copyToClipboard) {\n\t\tcase \"permalink\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler));\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList)));\n\t\t\tbreak;\n\t}\n\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\tif(options.updateHistory === \"yes\") {\n\t\t\t// Assign the location hash so that history is updated\n\t\t\twindow.location.hash = $tw.locationHash;\n\t\t} else {\n\t\t\t// We use replace so that browser history isn't affected\n\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t}\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/windows.js": {
"title": "$:/core/modules/startup/windows.js",
"text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\nvar windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\twindowTitle = paramObject.windowTitle || title,\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow,\n\t\t srcDocument;\n\t\t// In case that popup blockers deny opening a new window\n\t\ttry {\n\t\t\tsrcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\t}\n\t\tcatch(e) {\n\t\t\treturn;\n\t\t}\n\t\twindows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = windowTitle;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\t// Listen for keyboard shortcuts\n\t\t$tw.utils.addEventListeners(srcDocument,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t},{\n\t\t\tname: \"click\",\n\t\t\thandlerObject: $tw.popup,\n\t\t\thandlerMethod: \"handleEvent\"\n\t\t}]);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each(windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/story.js": {
"title": "$:/core/modules/story.js",
"text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/storyviews/classic.js": {
"title": "$:/core/modules/storyviews/classic.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration()\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\tif(duration) {\n\t\t// Scroll the node into view\n\t\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\t\n\t} else {\n\t\ttargetElement.scrollIntoView();\n\t}\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Reset the margin once the transition is over\n\t\tsetTimeout(function() {\n\t\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t\t{transition: \"none\"},\n\t\t\t\t{marginBottom: \"\"}\n\t\t\t]);\n\t\t},duration);\n\t\t// Set up the initial position of the element\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t// Transition to the final position\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t]);\n\t}\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode(),\n\t\t\tremoveElement = function() {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t};\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\tremoveElement();\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar currWidth = targetElement.offsetWidth,\n\t\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Remove the dom nodes of the widget at the end of the transition\n\t\tsetTimeout(removeElement,duration);\n\t\t// Animate the closure\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"translateX(0px)\"},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/pop.js": {
"title": "$:/core/modules/storyviews/pop.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t\t$tw.utils.setStyle(widget.document.body,[\n\t\t\t{\"overflow-x\": \"\"}\n\t\t]);\n\t},duration);\n\t// Prevent the page from overscrolling due to the zoom factor\n\t$tw.utils.setStyle(widget.document.body,[\n\t\t{\"overflow-x\": \"hidden\"}\n\t]);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement && targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/zoomin.js": {
"title": "$:/core/modules/storyviews/zoomin.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx = zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty = zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/syncer.js": {
"title": "$:/core/modules/syncer.js",
"text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store and synchronises them to a remote data store represented as a \"sync adaptor\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleIsAnonymous = \"$:/status/IsAnonymous\";\nSyncer.prototype.titleIsReadOnly = \"$:/status/IsReadOnly\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSyncPollingInterval = \"$:/config/SyncPollingInterval\";\nSyncer.prototype.titleSyncDisableLazyLoading = \"$:/config/SyncDisableLazyLoading\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.titleSyncThrottleInterval = \"$:/config/SyncThrottleInterval\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.errorRetryInterval = 5 * 1000; // Interval to retry after an error\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\t// Save parameters\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncThrottleInterval,\"\"),10) || this.throttleInterval;\n\tthis.errorRetryInterval = options.errorRetryInterval || this.errorRetryInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncPollingInterval,\"\"),10) || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging,\n\t\tsaveHistory: true\n\t});\n\t// Make another logger for connection errors\n\tthis.loggerConnection = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\") + \"-connection\",{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging\n\t});\n\t// Ask the syncadaptor to use the main logger\n\tif(this.syncadaptor.setLoggerSaveBuffer) {\n\t\tthis.syncadaptor.setLoggerSaveBuffer(this.logger);\n\t}\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\tthis.titlesToBeLoaded = {}; // Hashmap of titles of tiddlers that need loading from the server\n\tthis.titlesHaveBeenLazyLoaded = {}; // Hashmap of titles of tiddlers that have already been lazily loaded from the server\n\t// Timers\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Number of outstanding requests\n\tthis.numTasksInProgress = 0;\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Filter the changes to just include ones that are being synced\n\t\tvar filteredChanges = self.getSyncedTiddlers(function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t\tif(filteredChanges.length > 0) {\n\t\t\tself.processTaskQueue();\n\t\t} else {\n\t\t\t// Look for deletions of tiddlers we're already syncing\t\n\t\t\tvar outstandingDeletion = false\n\t\t\t$tw.utils.each(changes,function(change,title,object) {\n\t\t\t\tif(change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) {\n\t\t\t\t\toutstandingDeletion = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(outstandingDeletion) {\n\t\t\t\tself.processTaskQueue();\n\t\t\t}\n\t\t}\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function() {\n\t\t\tself.handleLoginEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-copy-syncer-logs-to-clipboard\",function() {\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getSystemInfo() + \"\\n\\nLog:\\n\" + self.logger.getBuffer());\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI && $tw.wiki.getTiddlerText(this.titleSyncDisableLazyLoading) !== \"yes\") {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nShow a generic network error alert\n*/\nSyncer.prototype.displayError = function(msg,err) {\n\tif(err === ($tw.language.getString(\"Error/XMLHttpRequest\") + \": 0\")) {\n\t\tthis.loggerConnection.alert($tw.language.getString(\"Error/NetworkErrorAlert\"));\n\t\tthis.logger.log(msg + \":\",err);\n\t} else {\n\t\tthis.logger.alert(msg + \":\",err);\n\t}\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getSyncedTiddlers = function(source) {\n\treturn this.filterFn.call(this.wiki,source);\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getTiddlerRevision = function(title) {\n\tif(this.syncadaptor && this.syncadaptor.getTiddlerRevision) {\n\t\treturn this.syncadaptor.getTiddlerRevision(title);\n\t} else {\n\t\treturn this.wiki.getTiddler(title).fields.revision;\t\n\t} \n};\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\t// \"revision\" is the revision of the tiddler last seen on the server, and \"changecount\" is the corresponding local changecount\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.getSyncedTiddlers();\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\tself.tiddlerInfo[title] = {\n\t\t\trevision: self.getTiddlerRevision(title),\n\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t};\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\tthis.logger.log(\"Checking dirty status\");\n\t// Check tiddlers that are in the store and included in the filter function\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(this.wiki.tiddlerExists(title)) {\n\t\t\tif(tiddlerInfo) {\n\t\t\t\t// If the tiddler is known on the server and has been modified locally then it needs to be saved to the server\n\t\t\t\tif($tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// If the tiddler isn't known on the server then it needs to be saved to the server\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\t// Check tiddlers that are known from the server but not currently in the store\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\tif(!this.wiki.tiddlerExists(titles[index])) {\n\t\t\t// There must be a pending delete\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\tvar dirty = this.isDirty();\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",dirty);\n\t\tif(!dirty) {\n\t\t\tthis.loggerConnection.clearAlerts();\n\t\t}\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: this.getTiddlerRevision(tiddlerFields.title),\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username,isReadOnly,isAnonymous) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\t// Set the various status tiddlers\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsReadOnly,text: isReadOnly ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsAnonymous,text: isAnonymous ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\t\tif(isLoggedIn) {\n\t\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tvar self = this,\n\t\tcancelNextSync = function() {\n\t\t\tif(self.pollTimerId) {\n\t\t\t\tclearTimeout(self.pollTimerId);\n\t\t\t\tself.pollTimerId = null;\n\t\t\t}\n\t\t},\n\t\ttriggerNextSync = function() {\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t};\n\tif(this.syncadaptor && this.syncadaptor.getUpdatedTiddlers) {\n\t\tthis.logger.log(\"Retrieving updated tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getUpdatedTiddlers(self,function(err,updates) {\n\t\t\ttriggerNextSync();\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tif(updates) {\n\t\t\t\t$tw.utils.each(updates.modifications,function(title) {\n\t\t\t\t\tself.titlesToBeLoaded[title] = true;\n\t\t\t\t});\n\t\t\t\t$tw.utils.each(updates.deletions,function(title) {\n\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t});\n\t\t\t\tif(updates.modifications.length > 0 || updates.deletions.length > 0) {\n\t\t\t\t\tself.processTaskQueue();\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t} else if(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\ttriggerNextSync();\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Keep track of which tiddlers we already know about have been reported this time\n\t\t\tvar previousTitles = Object.keys(self.tiddlerInfo);\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.tiddlerExists(tiddlerFields.title) && self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null,\n\t\t\t\t\tindexInPreviousTitles = previousTitles.indexOf(tiddlerFields.title);\n\t\t\t\tif(indexInPreviousTitles !== -1) {\n\t\t\t\t\tpreviousTitles.splice(indexInPreviousTitles,1);\n\t\t\t\t}\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Only load the skinny version if we don't already have a fat version of the tiddler\n\t\t\t\t\tif(!tiddler || tiddler.fields.text === undefined) {\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\tself.titlesToBeLoaded[tiddlerFields.title] = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Delete any tiddlers that were previously reported but missing this time\n\t\t\t$tw.utils.each(previousTitles,function(title) {\n\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t});\n\t\t\tself.processTaskQueue();\n\t\t});\n\t}\n};\n\n/*\nForce load a tiddler from the server\n*/\nSyncer.prototype.enqueueLoadTiddler = function(title) {\n\tthis.titlesToBeLoaded[title] = true;\n\tthis.processTaskQueue();\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Ignore if the syncadaptor doesn't handle it\n\tif(!this.syncadaptor.supportsLazyLoading) {\n\t\treturn;\n\t}\n\t// Don't lazy load the same tiddler twice\n\tif(!this.titlesHaveBeenLazyLoaded[title]) {\n\t\t// Don't lazy load if the tiddler isn't included in the sync filter\n\t\tif(this.getSyncedTiddlers().indexOf(title) !== -1) {\n\t\t\t// Mark the tiddler as needing loading, and having already been lazily loaded\n\t\t\tthis.titlesToBeLoaded[title] = true;\n\t\t\tthis.titlesHaveBeenLazyLoaded[title] = true;\n\t\t}\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!err && !isLoggedIn) {\n\t\t\t$tw.passwordPrompt.createPrompt({\n\t\t\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\t\t\tcallback: function(data) {\n\t\t\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\t\t\tself.syncFromServer();\n\t\t\t\t\t});\n\t\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(err,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nProcess the next task\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing\n\t// a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(typeof task === \"object\" && task !== null) {\n\t\t\tthis.numTasksInProgress += 1;\n\t\t\ttask.run(function(err) {\n\t\t\t\tself.numTasksInProgress -= 1;\n\t\t\t\tif(err) {\n\t\t\t\t\tself.displayError(\"Sync error while processing \" + task.type + \" of '\" + task.title + \"'\",err);\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\tself.triggerTimeout(self.errorRetryInterval);\n\t\t\t\t} else {\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\t// Process the next task\n\t\t\t\t\tself.processTaskQueue.call(self);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// No task is ready so update the status\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// And trigger a timeout if there is a pending task\n\t\t\tif(task === true) {\n\t\t\t\tthis.triggerTimeout();\t\t\t\t\n\t\t\t}\n\t\t}\n\t} else {\n\t\tthis.updateDirtyStatus();\t\t\n\t}\n};\n\nSyncer.prototype.triggerTimeout = function(interval) {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},interval || self.taskTimerInterval);\n\t}\n};\n\n/*\nChoose the next sync task. We prioritise saves, then deletes, then loads from the server\n\nReturns either a task object, null if there's no upcoming tasks, or the boolean true if there are pending tasks that aren't yet due\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar thresholdLastSaved = (new Date()) - this.throttleInterval,\n\t\thavePending = null;\n\t// First we look for tiddlers that have been modified locally and need saving back to the server\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title),\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(tiddler) {\n\t\t\t// If the tiddler is not known on the server, or has been modified locally no more recently than the threshold then it needs to be saved to the server\n\t\t\tvar hasChanged = !tiddlerInfo || $tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount,\n\t\t\t\tisReadyToSave = !tiddlerInfo || !tiddlerInfo.timestampLastSaved || tiddlerInfo.timestampLastSaved < thresholdLastSaved;\n\t\t\tif(hasChanged) {\n\t\t\t\tif(isReadyToSave) {\n\t\t\t\t\treturn new SaveTiddlerTask(this,title); \t\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\thavePending = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Second, we check tiddlers that are known from the server but not currently in the store, and so need deleting on the server\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\ttitle = titles[index];\n\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\treturn new DeleteTiddlerTask(this,title);\n\t\t}\n\t}\n\t// Check for tiddlers that need loading\n\ttitle = Object.keys(this.titlesToBeLoaded)[0];\n\tif(title) {\n\t\tdelete this.titlesToBeLoaded[title];\n\t\treturn new LoadTiddlerTask(this,title);\n\t}\n\t// No tasks are ready\n\treturn havePending;\n};\n\nfunction SaveTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"save\";\n}\n\nSaveTiddlerTask.prototype.run = function(callback) {\n\tvar self = this,\n\t\tchangeCount = this.syncer.wiki.getChangeCount(this.title),\n\t\ttiddler = this.syncer.wiki.tiddlerExists(this.title) && this.syncer.wiki.getTiddler(this.title);\n\tthis.syncer.logger.log(\"Dispatching 'save' task:\",this.title);\n\tif(tiddler) {\n\t\tthis.syncer.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t// If there's an error, exit without changing any internal state\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Adjust the info stored about this tiddler\n\t\t\tself.syncer.tiddlerInfo[self.title] = {\n\t\t\t\tchangeCount: changeCount,\n\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\trevision: revision,\n\t\t\t\ttimestampLastSaved: new Date()\n\t\t\t};\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t});\n\t} else {\n\t\tthis.syncer.logger.log(\" Not Dispatching 'save' task:\",this.title,\"tiddler does not exist\");\n\t\t$tw.utils.nextTick(callback(null));\n\t}\n};\n\nfunction DeleteTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"delete\";\n}\n\nDeleteTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'delete' task:\",this.title);\n\tthis.syncer.syncadaptor.deleteTiddler(this.title,function(err) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Remove the info stored about this tiddler\n\t\tdelete self.syncer.tiddlerInfo[self.title];\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t},{\n\t\ttiddlerInfo: self.syncer.tiddlerInfo[this.title]\n\t});\n};\n\nfunction LoadTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"load\";\n}\n\nLoadTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'load' task:\",this.title);\n\tthis.syncer.syncadaptor.loadTiddler(this.title,function(err,tiddlerFields) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Update the info stored about this tiddler\n\t\tif(tiddlerFields) {\n\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t});\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/tiddler.js": {
"title": "$:/core/modules/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet the value of a field as a list\n*/\nexports.getFieldList = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn [];\n\t}\n\treturn $tw.utils.parseStringArray(value);\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [],\n\t\tfields = Object.keys(this.fields).sort(),\n\t\tresult = [];\n\tfor(var t=0; t<fields.length; t++) {\n\t\tvar field = fields[t];\n\t\tif(exclude.indexOf(field) === -1) {\n\t\t\tresult.push(field + \": \" + this.getFieldString(field));\n\t\t}\n\t}\n\treturn result.join(\"\\n\");\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlermethod"
},
"$:/core/modules/upgraders/plugins.js": {
"title": "$:/core/modules/upgraders/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin contains JS modules\n\t\t\tvar requiresReload = $tw.wiki.doesPluginInfoRequireReload(JSON.parse(incomingTiddler.text)) ? ($tw.wiki.getTiddlerText(\"$:/language/ControlPanel/Plugins/PluginWillRequireReload\") + \" \") : \"\";\n\t\t\tmessages[title] = requiresReload;\n\t\t\tif(incomingTiddler.version) {\n\t\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/system.js": {
"title": "$:/core/modules/upgraders/system.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\",\"$:/Import\"],\n\tWARN_IMPORT_PREFIX_LIST = [\"$:/core/modules/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tshowAlert = false;\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(var t=0; t<WARN_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = WARN_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix && wiki.isShadowTiddler(title)) {\n\t\t\t\t\tshowAlert = true;\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Warning\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\tif(showAlert) {\n\t\tvar logger = new $tw.utils.Logger(\"import\");\n\t\tlogger.alert($tw.language.getString(\"Import/Upgrader/System/Alert\"));\n\t}\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/themetweaks.js": {
"title": "$:/core/modules/upgraders/themetweaks.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/utils/base64-utf8/base64-utf8.module.js": {
"text": "(function(){// From https://gist.github.com/Nijikokun/5192472\n//\n// UTF8 Module\n//\n// Cleaner and modularized utf-8 encoding and decoding library for javascript.\n//\n// copyright: MIT\n// author: Nijiko Yonskai, @nijikokun, nijikokun@gmail.com\n!function(r,e,o,t){void 0!==o.module&&o.module.exports?o.module.exports=e.apply(o):void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"utf8\",[],e):o.utf8=e.apply(o)}(0,function(){return{encode:function(r){if(\"string\"!=typeof r)return r;r=r.replace(/\\r\\n/g,\"\\n\");for(var e,o=\"\",t=0;t<r.length;t++)(e=r.charCodeAt(t))<128?o+=String.fromCharCode(e):e>127&&e<2048?(o+=String.fromCharCode(e>>6|192),o+=String.fromCharCode(63&e|128)):(o+=String.fromCharCode(e>>12|224),o+=String.fromCharCode(e>>6&63|128),o+=String.fromCharCode(63&e|128));return o},decode:function(r){if(\"string\"!=typeof r)return r;for(var e=\"\",o=0,t=0;o<r.length;)(t=r.charCodeAt(o))<128?(e+=String.fromCharCode(t),o++):t>191&&t<224?(e+=String.fromCharCode((31&t)<<6|63&r.charCodeAt(o+1)),o+=2):(e+=String.fromCharCode((15&t)<<12|(63&r.charCodeAt(o+1))<<6|63&r.charCodeAt(o+2)),o+=3);return e}}},this),function(r,e,o,t){if(void 0!==o.module&&o.module.exports){if(t&&o.require)for(var n=0;n<t.length;n++)o[t[n]]=o.require(t[n]);o.module.exports=e.apply(o)}else void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"base64\",t||[],e):o.base64=e.apply(o)}(0,function(r){var e=r||this.utf8,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";return{encode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=e.encode(r);for(var t,n,i,d,f,a,h,c=\"\",u=0;u<r.length;)d=(t=r.charCodeAt(u++))>>2,f=(3&t)<<4|(n=r.charCodeAt(u++))>>4,a=(15&n)<<2|(i=r.charCodeAt(u++))>>6,h=63&i,isNaN(n)?a=h=64:isNaN(i)&&(h=64),c+=o.charAt(d)+o.charAt(f)+o.charAt(a)+o.charAt(h);return c},decode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=r.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");for(var t,n,i,d,f,a,h=\"\",c=0;c<r.length;)t=o.indexOf(r.charAt(c++))<<2|(d=o.indexOf(r.charAt(c++)))>>4,n=(15&d)<<4|(f=o.indexOf(r.charAt(c++)))>>2,i=(3&f)<<6|(a=o.indexOf(r.charAt(c++))),h+=String.fromCharCode(t),64!=f&&(h+=String.fromCharCode(n)),64!=a&&(h+=String.fromCharCode(i));return e.decode(h)}}},this,[\"utf8\"]);}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/base64-utf8/base64-utf8.module.js",
"module-type": "library"
},
"$:/core/modules/utils/crypto.js": {
"title": "$:/core/modules/utils/crypto.js",
"text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/csv.js": {
"title": "$:/core/modules/utils/csv.js",
"text": "/*\\\ntitle: $:/core/modules/utils/csv.js\ntype: application/javascript\nmodule-type: utils\n\nA barebones CSV parser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a CSV string with a header row and return an array of hashmaps.\n*/\nexports.parseCsvStringWithHeader = function(text,options) {\n\toptions = options || {};\n\tvar separator = options.separator || \",\",\n\t\trows = text.split(/\\r?\\n/mg).map(function(row) {\n\t\t\treturn $tw.utils.trim(row);\n\t\t}).filter(function(row) {\n\t\t\treturn row !== \"\";\n\t\t});\n\tif(rows.length < 1) {\n\t\treturn \"Missing header row\";\n\t}\n\tvar headings = rows[0].split(separator),\n\t\tresults = [];\n\tfor(var row=1; row<rows.length; row++) {\n\t\tvar columns = rows[row].split(separator),\n\t\t\tcolumnResult = Object.create(null);\n\t\tif(columns.length !== headings.length) {\n\t\t\treturn \"Malformed CSV row '\" + rows[row] + \"'\";\n\t\t}\n\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\tvar columnName = headings[column];\n\t\t\tcolumnResult[columnName] = $tw.utils.trim(columns[column] || \"\");\n\t\t}\n\t\tresults.push(columnResult);\t\t\t\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/diff-match-patch/diff_match_patch.js": {
"text": "(function(){function diff_match_patch(){this.Diff_Timeout=1;this.Diff_EditCost=4;this.Match_Threshold=.5;this.Match_Distance=1E3;this.Patch_DeleteThreshold=.5;this.Patch_Margin=4;this.Match_MaxBits=32}var DIFF_DELETE=-1,DIFF_INSERT=1,DIFF_EQUAL=0;\ndiff_match_patch.prototype.diff_main=function(a,b,c,d){\"undefined\"==typeof d&&(d=0>=this.Diff_Timeout?Number.MAX_VALUE:(new Date).getTime()+1E3*this.Diff_Timeout);if(null==a||null==b)throw Error(\"Null input. (diff_main)\");if(a==b)return a?[[DIFF_EQUAL,a]]:[];\"undefined\"==typeof c&&(c=!0);var e=c,f=this.diff_commonPrefix(a,b);c=a.substring(0,f);a=a.substring(f);b=b.substring(f);f=this.diff_commonSuffix(a,b);var g=a.substring(a.length-f);a=a.substring(0,a.length-f);b=b.substring(0,b.length-f);a=this.diff_compute_(a,\nb,e,d);c&&a.unshift([DIFF_EQUAL,c]);g&&a.push([DIFF_EQUAL,g]);this.diff_cleanupMerge(a);return a};\ndiff_match_patch.prototype.diff_compute_=function(a,b,c,d){if(!a)return[[DIFF_INSERT,b]];if(!b)return[[DIFF_DELETE,a]];var e=a.length>b.length?a:b,f=a.length>b.length?b:a,g=e.indexOf(f);return-1!=g?(c=[[DIFF_INSERT,e.substring(0,g)],[DIFF_EQUAL,f],[DIFF_INSERT,e.substring(g+f.length)]],a.length>b.length&&(c[0][0]=c[2][0]=DIFF_DELETE),c):1==f.length?[[DIFF_DELETE,a],[DIFF_INSERT,b]]:(e=this.diff_halfMatch_(a,b))?(b=e[1],f=e[3],a=e[4],e=this.diff_main(e[0],e[2],c,d),c=this.diff_main(b,f,c,d),e.concat([[DIFF_EQUAL,\na]],c)):c&&100<a.length&&100<b.length?this.diff_lineMode_(a,b,d):this.diff_bisect_(a,b,d)};\ndiff_match_patch.prototype.diff_lineMode_=function(a,b,c){var d=this.diff_linesToChars_(a,b);a=d.chars1;b=d.chars2;d=d.lineArray;a=this.diff_main(a,b,!1,c);this.diff_charsToLines_(a,d);this.diff_cleanupSemantic(a);a.push([DIFF_EQUAL,\"\"]);for(var e=d=b=0,f=\"\",g=\"\";b<a.length;){switch(a[b][0]){case DIFF_INSERT:e++;g+=a[b][1];break;case DIFF_DELETE:d++;f+=a[b][1];break;case DIFF_EQUAL:if(1<=d&&1<=e){a.splice(b-d-e,d+e);b=b-d-e;d=this.diff_main(f,g,!1,c);for(e=d.length-1;0<=e;e--)a.splice(b,0,d[e]);b+=\nd.length}d=e=0;g=f=\"\"}b++}a.pop();return a};\ndiff_match_patch.prototype.diff_bisect_=function(a,b,c){for(var d=a.length,e=b.length,f=Math.ceil((d+e)/2),g=2*f,h=Array(g),l=Array(g),k=0;k<g;k++)h[k]=-1,l[k]=-1;h[f+1]=0;l[f+1]=0;k=d-e;for(var m=0!=k%2,p=0,x=0,w=0,q=0,t=0;t<f&&!((new Date).getTime()>c);t++){for(var v=-t+p;v<=t-x;v+=2){var n=f+v;var r=v==-t||v!=t&&h[n-1]<h[n+1]?h[n+1]:h[n-1]+1;for(var y=r-v;r<d&&y<e&&a.charAt(r)==b.charAt(y);)r++,y++;h[n]=r;if(r>d)x+=2;else if(y>e)p+=2;else if(m&&(n=f+k-v,0<=n&&n<g&&-1!=l[n])){var u=d-l[n];if(r>=\nu)return this.diff_bisectSplit_(a,b,r,y,c)}}for(v=-t+w;v<=t-q;v+=2){n=f+v;u=v==-t||v!=t&&l[n-1]<l[n+1]?l[n+1]:l[n-1]+1;for(r=u-v;u<d&&r<e&&a.charAt(d-u-1)==b.charAt(e-r-1);)u++,r++;l[n]=u;if(u>d)q+=2;else if(r>e)w+=2;else if(!m&&(n=f+k-v,0<=n&&n<g&&-1!=h[n]&&(r=h[n],y=f+r-n,u=d-u,r>=u)))return this.diff_bisectSplit_(a,b,r,y,c)}}return[[DIFF_DELETE,a],[DIFF_INSERT,b]]};\ndiff_match_patch.prototype.diff_bisectSplit_=function(a,b,c,d,e){var f=a.substring(0,c),g=b.substring(0,d);a=a.substring(c);b=b.substring(d);f=this.diff_main(f,g,!1,e);e=this.diff_main(a,b,!1,e);return f.concat(e)};\ndiff_match_patch.prototype.diff_linesToChars_=function(a,b){function c(a){for(var b=\"\",c=0,f=-1,g=d.length;f<a.length-1;){f=a.indexOf(\"\\n\",c);-1==f&&(f=a.length-1);var h=a.substring(c,f+1);c=f+1;(e.hasOwnProperty?e.hasOwnProperty(h):void 0!==e[h])?b+=String.fromCharCode(e[h]):(b+=String.fromCharCode(g),e[h]=g,d[g++]=h)}return b}var d=[],e={};d[0]=\"\";var f=c(a),g=c(b);return{chars1:f,chars2:g,lineArray:d}};\ndiff_match_patch.prototype.diff_charsToLines_=function(a,b){for(var c=0;c<a.length;c++){for(var d=a[c][1],e=[],f=0;f<d.length;f++)e[f]=b[d.charCodeAt(f)];a[c][1]=e.join(\"\")}};diff_match_patch.prototype.diff_commonPrefix=function(a,b){if(!a||!b||a.charAt(0)!=b.charAt(0))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(f,e)==b.substring(f,e)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonSuffix=function(a,b){if(!a||!b||a.charAt(a.length-1)!=b.charAt(b.length-1))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(a.length-e,a.length-f)==b.substring(b.length-e,b.length-f)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonOverlap_=function(a,b){var c=a.length,d=b.length;if(0==c||0==d)return 0;c>d?a=a.substring(c-d):c<d&&(b=b.substring(0,c));c=Math.min(c,d);if(a==b)return c;d=0;for(var e=1;;){var f=a.substring(c-e);f=b.indexOf(f);if(-1==f)return d;e+=f;if(0==f||a.substring(c-e)==b.substring(0,e))d=e,e++}};\ndiff_match_patch.prototype.diff_halfMatch_=function(a,b){function c(a,b,c){for(var d=a.substring(c,c+Math.floor(a.length/4)),e=-1,g=\"\",h,k,l,m;-1!=(e=b.indexOf(d,e+1));){var p=f.diff_commonPrefix(a.substring(c),b.substring(e)),u=f.diff_commonSuffix(a.substring(0,c),b.substring(0,e));g.length<u+p&&(g=b.substring(e-u,e)+b.substring(e,e+p),h=a.substring(0,c-u),k=a.substring(c+p),l=b.substring(0,e-u),m=b.substring(e+p))}return 2*g.length>=a.length?[h,k,l,m,g]:null}if(0>=this.Diff_Timeout)return null;\nvar d=a.length>b.length?a:b,e=a.length>b.length?b:a;if(4>d.length||2*e.length<d.length)return null;var f=this,g=c(d,e,Math.ceil(d.length/4));d=c(d,e,Math.ceil(d.length/2));if(g||d)g=d?g?g[4].length>d[4].length?g:d:d:g;else return null;if(a.length>b.length){d=g[0];e=g[1];var h=g[2];var l=g[3]}else h=g[0],l=g[1],d=g[2],e=g[3];return[d,e,h,l,g[4]]};\ndiff_match_patch.prototype.diff_cleanupSemantic=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=0,h=0,l=0,k=0;f<a.length;)a[f][0]==DIFF_EQUAL?(c[d++]=f,g=l,h=k,k=l=0,e=a[f][1]):(a[f][0]==DIFF_INSERT?l+=a[f][1].length:k+=a[f][1].length,e&&e.length<=Math.max(g,h)&&e.length<=Math.max(l,k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,d--,f=0<d?c[d-1]:-1,k=l=h=g=0,e=null,b=!0)),f++;b&&this.diff_cleanupMerge(a);this.diff_cleanupSemanticLossless(a);for(f=1;f<a.length;){if(a[f-1][0]==\nDIFF_DELETE&&a[f][0]==DIFF_INSERT){b=a[f-1][1];c=a[f][1];d=this.diff_commonOverlap_(b,c);e=this.diff_commonOverlap_(c,b);if(d>=e){if(d>=b.length/2||d>=c.length/2)a.splice(f,0,[DIFF_EQUAL,c.substring(0,d)]),a[f-1][1]=b.substring(0,b.length-d),a[f+1][1]=c.substring(d),f++}else if(e>=b.length/2||e>=c.length/2)a.splice(f,0,[DIFF_EQUAL,b.substring(0,e)]),a[f-1][0]=DIFF_INSERT,a[f-1][1]=c.substring(0,c.length-e),a[f+1][0]=DIFF_DELETE,a[f+1][1]=b.substring(e),f++;f++}f++}};\ndiff_match_patch.prototype.diff_cleanupSemanticLossless=function(a){function b(a,b){if(!a||!b)return 6;var c=a.charAt(a.length-1),d=b.charAt(0),e=c.match(diff_match_patch.nonAlphaNumericRegex_),f=d.match(diff_match_patch.nonAlphaNumericRegex_),g=e&&c.match(diff_match_patch.whitespaceRegex_),h=f&&d.match(diff_match_patch.whitespaceRegex_);c=g&&c.match(diff_match_patch.linebreakRegex_);d=h&&d.match(diff_match_patch.linebreakRegex_);var k=c&&a.match(diff_match_patch.blanklineEndRegex_),l=d&&b.match(diff_match_patch.blanklineStartRegex_);\nreturn k||l?5:c||d?4:e&&!g&&h?3:g||h?2:e||f?1:0}for(var c=1;c<a.length-1;){if(a[c-1][0]==DIFF_EQUAL&&a[c+1][0]==DIFF_EQUAL){var d=a[c-1][1],e=a[c][1],f=a[c+1][1],g=this.diff_commonSuffix(d,e);if(g){var h=e.substring(e.length-g);d=d.substring(0,d.length-g);e=h+e.substring(0,e.length-g);f=h+f}g=d;h=e;for(var l=f,k=b(d,e)+b(e,f);e.charAt(0)===f.charAt(0);){d+=e.charAt(0);e=e.substring(1)+f.charAt(0);f=f.substring(1);var m=b(d,e)+b(e,f);m>=k&&(k=m,g=d,h=e,l=f)}a[c-1][1]!=g&&(g?a[c-1][1]=g:(a.splice(c-\n1,1),c--),a[c][1]=h,l?a[c+1][1]=l:(a.splice(c+1,1),c--))}c++}};diff_match_patch.nonAlphaNumericRegex_=/[^a-zA-Z0-9]/;diff_match_patch.whitespaceRegex_=/\\s/;diff_match_patch.linebreakRegex_=/[\\r\\n]/;diff_match_patch.blanklineEndRegex_=/\\n\\r?\\n$/;diff_match_patch.blanklineStartRegex_=/^\\r?\\n\\r?\\n/;\ndiff_match_patch.prototype.diff_cleanupEfficiency=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=!1,h=!1,l=!1,k=!1;f<a.length;)a[f][0]==DIFF_EQUAL?(a[f][1].length<this.Diff_EditCost&&(l||k)?(c[d++]=f,g=l,h=k,e=a[f][1]):(d=0,e=null),l=k=!1):(a[f][0]==DIFF_DELETE?k=!0:l=!0,e&&(g&&h&&l&&k||e.length<this.Diff_EditCost/2&&3==g+h+l+k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,e=null,g&&h?(l=k=!0,d=0):(d--,f=0<d?c[d-1]:-1,l=k=!1),b=!0)),f++;b&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_cleanupMerge=function(a){a.push([DIFF_EQUAL,\"\"]);for(var b=0,c=0,d=0,e=\"\",f=\"\",g;b<a.length;)switch(a[b][0]){case DIFF_INSERT:d++;f+=a[b][1];b++;break;case DIFF_DELETE:c++;e+=a[b][1];b++;break;case DIFF_EQUAL:1<c+d?(0!==c&&0!==d&&(g=this.diff_commonPrefix(f,e),0!==g&&(0<b-c-d&&a[b-c-d-1][0]==DIFF_EQUAL?a[b-c-d-1][1]+=f.substring(0,g):(a.splice(0,0,[DIFF_EQUAL,f.substring(0,g)]),b++),f=f.substring(g),e=e.substring(g)),g=this.diff_commonSuffix(f,e),0!==g&&(a[b][1]=f.substring(f.length-\ng)+a[b][1],f=f.substring(0,f.length-g),e=e.substring(0,e.length-g))),0===c?a.splice(b-d,c+d,[DIFF_INSERT,f]):0===d?a.splice(b-c,c+d,[DIFF_DELETE,e]):a.splice(b-c-d,c+d,[DIFF_DELETE,e],[DIFF_INSERT,f]),b=b-c-d+(c?1:0)+(d?1:0)+1):0!==b&&a[b-1][0]==DIFF_EQUAL?(a[b-1][1]+=a[b][1],a.splice(b,1)):b++,c=d=0,f=e=\"\"}\"\"===a[a.length-1][1]&&a.pop();c=!1;for(b=1;b<a.length-1;)a[b-1][0]==DIFF_EQUAL&&a[b+1][0]==DIFF_EQUAL&&(a[b][1].substring(a[b][1].length-a[b-1][1].length)==a[b-1][1]?(a[b][1]=a[b-1][1]+a[b][1].substring(0,\na[b][1].length-a[b-1][1].length),a[b+1][1]=a[b-1][1]+a[b+1][1],a.splice(b-1,1),c=!0):a[b][1].substring(0,a[b+1][1].length)==a[b+1][1]&&(a[b-1][1]+=a[b+1][1],a[b][1]=a[b][1].substring(a[b+1][1].length)+a[b+1][1],a.splice(b+1,1),c=!0)),b++;c&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_xIndex=function(a,b){var c=0,d=0,e=0,f=0,g;for(g=0;g<a.length;g++){a[g][0]!==DIFF_INSERT&&(c+=a[g][1].length);a[g][0]!==DIFF_DELETE&&(d+=a[g][1].length);if(c>b)break;e=c;f=d}return a.length!=g&&a[g][0]===DIFF_DELETE?f:f+(b-e)};\ndiff_match_patch.prototype.diff_prettyHtml=function(a){for(var b=[],c=/&/g,d=/</g,e=/>/g,f=/\\n/g,g=0;g<a.length;g++){var h=a[g][0],l=a[g][1].replace(c,\"&\").replace(d,\"<\").replace(e,\">\").replace(f,\"¶<br>\");switch(h){case DIFF_INSERT:b[g]='<ins style=\"background:#e6ffe6;\">'+l+\"</ins>\";break;case DIFF_DELETE:b[g]='<del style=\"background:#ffe6e6;\">'+l+\"</del>\";break;case DIFF_EQUAL:b[g]=\"<span>\"+l+\"</span>\"}}return b.join(\"\")};\ndiff_match_patch.prototype.diff_text1=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_INSERT&&(b[c]=a[c][1]);return b.join(\"\")};diff_match_patch.prototype.diff_text2=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_DELETE&&(b[c]=a[c][1]);return b.join(\"\")};\ndiff_match_patch.prototype.diff_levenshtein=function(a){for(var b=0,c=0,d=0,e=0;e<a.length;e++){var f=a[e][1];switch(a[e][0]){case DIFF_INSERT:c+=f.length;break;case DIFF_DELETE:d+=f.length;break;case DIFF_EQUAL:b+=Math.max(c,d),d=c=0}}return b+=Math.max(c,d)};\ndiff_match_patch.prototype.diff_toDelta=function(a){for(var b=[],c=0;c<a.length;c++)switch(a[c][0]){case DIFF_INSERT:b[c]=\"+\"+encodeURI(a[c][1]);break;case DIFF_DELETE:b[c]=\"-\"+a[c][1].length;break;case DIFF_EQUAL:b[c]=\"=\"+a[c][1].length}return b.join(\"\\t\").replace(/%20/g,\" \")};\ndiff_match_patch.prototype.diff_fromDelta=function(a,b){for(var c=[],d=0,e=0,f=b.split(/\\t/g),g=0;g<f.length;g++){var h=f[g].substring(1);switch(f[g].charAt(0)){case \"+\":try{c[d++]=[DIFF_INSERT,decodeURI(h)]}catch(k){throw Error(\"Illegal escape in diff_fromDelta: \"+h);}break;case \"-\":case \"=\":var l=parseInt(h,10);if(isNaN(l)||0>l)throw Error(\"Invalid number in diff_fromDelta: \"+h);h=a.substring(e,e+=l);\"=\"==f[g].charAt(0)?c[d++]=[DIFF_EQUAL,h]:c[d++]=[DIFF_DELETE,h];break;default:if(f[g])throw Error(\"Invalid diff operation in diff_fromDelta: \"+\nf[g]);}}if(e!=a.length)throw Error(\"Delta length (\"+e+\") does not equal source text length (\"+a.length+\").\");return c};diff_match_patch.prototype.match_main=function(a,b,c){if(null==a||null==b||null==c)throw Error(\"Null input. (match_main)\");c=Math.max(0,Math.min(c,a.length));return a==b?0:a.length?a.substring(c,c+b.length)==b?c:this.match_bitap_(a,b,c):-1};\ndiff_match_patch.prototype.match_bitap_=function(a,b,c){function d(a,d){var e=a/b.length,g=Math.abs(c-d);return f.Match_Distance?e+g/f.Match_Distance:g?1:e}if(b.length>this.Match_MaxBits)throw Error(\"Pattern too long for this browser.\");var e=this.match_alphabet_(b),f=this,g=this.Match_Threshold,h=a.indexOf(b,c);-1!=h&&(g=Math.min(d(0,h),g),h=a.lastIndexOf(b,c+b.length),-1!=h&&(g=Math.min(d(0,h),g)));var l=1<<b.length-1;h=-1;for(var k,m,p=b.length+a.length,x,w=0;w<b.length;w++){k=0;for(m=p;k<m;)d(w,\nc+m)<=g?k=m:p=m,m=Math.floor((p-k)/2+k);p=m;k=Math.max(1,c-m+1);var q=Math.min(c+m,a.length)+b.length;m=Array(q+2);for(m[q+1]=(1<<w)-1;q>=k;q--){var t=e[a.charAt(q-1)];m[q]=0===w?(m[q+1]<<1|1)&t:(m[q+1]<<1|1)&t|(x[q+1]|x[q])<<1|1|x[q+1];if(m[q]&l&&(t=d(w,q-1),t<=g))if(g=t,h=q-1,h>c)k=Math.max(1,2*c-h);else break}if(d(w+1,c)>g)break;x=m}return h};\ndiff_match_patch.prototype.match_alphabet_=function(a){for(var b={},c=0;c<a.length;c++)b[a.charAt(c)]=0;for(c=0;c<a.length;c++)b[a.charAt(c)]|=1<<a.length-c-1;return b};\ndiff_match_patch.prototype.patch_addContext_=function(a,b){if(0!=b.length){for(var c=b.substring(a.start2,a.start2+a.length1),d=0;b.indexOf(c)!=b.lastIndexOf(c)&&c.length<this.Match_MaxBits-this.Patch_Margin-this.Patch_Margin;)d+=this.Patch_Margin,c=b.substring(a.start2-d,a.start2+a.length1+d);d+=this.Patch_Margin;(c=b.substring(a.start2-d,a.start2))&&a.diffs.unshift([DIFF_EQUAL,c]);(d=b.substring(a.start2+a.length1,a.start2+a.length1+d))&&a.diffs.push([DIFF_EQUAL,d]);a.start1-=c.length;a.start2-=\nc.length;a.length1+=c.length+d.length;a.length2+=c.length+d.length}};\ndiff_match_patch.prototype.patch_make=function(a,b,c){if(\"string\"==typeof a&&\"string\"==typeof b&&\"undefined\"==typeof c){var d=a;b=this.diff_main(d,b,!0);2<b.length&&(this.diff_cleanupSemantic(b),this.diff_cleanupEfficiency(b))}else if(a&&\"object\"==typeof a&&\"undefined\"==typeof b&&\"undefined\"==typeof c)b=a,d=this.diff_text1(b);else if(\"string\"==typeof a&&b&&\"object\"==typeof b&&\"undefined\"==typeof c)d=a;else if(\"string\"==typeof a&&\"string\"==typeof b&&c&&\"object\"==typeof c)d=a,b=c;else throw Error(\"Unknown call format to patch_make.\");\nif(0===b.length)return[];c=[];a=new diff_match_patch.patch_obj;for(var e=0,f=0,g=0,h=d,l=0;l<b.length;l++){var k=b[l][0],m=b[l][1];e||k===DIFF_EQUAL||(a.start1=f,a.start2=g);switch(k){case DIFF_INSERT:a.diffs[e++]=b[l];a.length2+=m.length;d=d.substring(0,g)+m+d.substring(g);break;case DIFF_DELETE:a.length1+=m.length;a.diffs[e++]=b[l];d=d.substring(0,g)+d.substring(g+m.length);break;case DIFF_EQUAL:m.length<=2*this.Patch_Margin&&e&&b.length!=l+1?(a.diffs[e++]=b[l],a.length1+=m.length,a.length2+=m.length):\nm.length>=2*this.Patch_Margin&&e&&(this.patch_addContext_(a,h),c.push(a),a=new diff_match_patch.patch_obj,e=0,h=d,f=g)}k!==DIFF_INSERT&&(f+=m.length);k!==DIFF_DELETE&&(g+=m.length)}e&&(this.patch_addContext_(a,h),c.push(a));return c};\ndiff_match_patch.prototype.patch_deepCopy=function(a){for(var b=[],c=0;c<a.length;c++){var d=a[c],e=new diff_match_patch.patch_obj;e.diffs=[];for(var f=0;f<d.diffs.length;f++)e.diffs[f]=d.diffs[f].slice();e.start1=d.start1;e.start2=d.start2;e.length1=d.length1;e.length2=d.length2;b[c]=e}return b};\ndiff_match_patch.prototype.patch_apply=function(a,b){if(0==a.length)return[b,[]];a=this.patch_deepCopy(a);var c=this.patch_addPadding(a);b=c+b+c;this.patch_splitMax(a);for(var d=0,e=[],f=0;f<a.length;f++){var g=a[f].start2+d,h=this.diff_text1(a[f].diffs),l=-1;if(h.length>this.Match_MaxBits){var k=this.match_main(b,h.substring(0,this.Match_MaxBits),g);-1!=k&&(l=this.match_main(b,h.substring(h.length-this.Match_MaxBits),g+h.length-this.Match_MaxBits),-1==l||k>=l)&&(k=-1)}else k=this.match_main(b,h,\ng);if(-1==k)e[f]=!1,d-=a[f].length2-a[f].length1;else if(e[f]=!0,d=k-g,g=-1==l?b.substring(k,k+h.length):b.substring(k,l+this.Match_MaxBits),h==g)b=b.substring(0,k)+this.diff_text2(a[f].diffs)+b.substring(k+h.length);else if(g=this.diff_main(h,g,!1),h.length>this.Match_MaxBits&&this.diff_levenshtein(g)/h.length>this.Patch_DeleteThreshold)e[f]=!1;else{this.diff_cleanupSemanticLossless(g);h=0;var m;for(l=0;l<a[f].diffs.length;l++){var p=a[f].diffs[l];p[0]!==DIFF_EQUAL&&(m=this.diff_xIndex(g,h));p[0]===\nDIFF_INSERT?b=b.substring(0,k+m)+p[1]+b.substring(k+m):p[0]===DIFF_DELETE&&(b=b.substring(0,k+m)+b.substring(k+this.diff_xIndex(g,h+p[1].length)));p[0]!==DIFF_DELETE&&(h+=p[1].length)}}}b=b.substring(c.length,b.length-c.length);return[b,e]};\ndiff_match_patch.prototype.patch_addPadding=function(a){for(var b=this.Patch_Margin,c=\"\",d=1;d<=b;d++)c+=String.fromCharCode(d);for(d=0;d<a.length;d++)a[d].start1+=b,a[d].start2+=b;d=a[0];var e=d.diffs;if(0==e.length||e[0][0]!=DIFF_EQUAL)e.unshift([DIFF_EQUAL,c]),d.start1-=b,d.start2-=b,d.length1+=b,d.length2+=b;else if(b>e[0][1].length){var f=b-e[0][1].length;e[0][1]=c.substring(e[0][1].length)+e[0][1];d.start1-=f;d.start2-=f;d.length1+=f;d.length2+=f}d=a[a.length-1];e=d.diffs;0==e.length||e[e.length-\n1][0]!=DIFF_EQUAL?(e.push([DIFF_EQUAL,c]),d.length1+=b,d.length2+=b):b>e[e.length-1][1].length&&(f=b-e[e.length-1][1].length,e[e.length-1][1]+=c.substring(0,f),d.length1+=f,d.length2+=f);return c};\ndiff_match_patch.prototype.patch_splitMax=function(a){for(var b=this.Match_MaxBits,c=0;c<a.length;c++)if(!(a[c].length1<=b)){var d=a[c];a.splice(c--,1);for(var e=d.start1,f=d.start2,g=\"\";0!==d.diffs.length;){var h=new diff_match_patch.patch_obj,l=!0;h.start1=e-g.length;h.start2=f-g.length;\"\"!==g&&(h.length1=h.length2=g.length,h.diffs.push([DIFF_EQUAL,g]));for(;0!==d.diffs.length&&h.length1<b-this.Patch_Margin;){g=d.diffs[0][0];var k=d.diffs[0][1];g===DIFF_INSERT?(h.length2+=k.length,f+=k.length,h.diffs.push(d.diffs.shift()),\nl=!1):g===DIFF_DELETE&&1==h.diffs.length&&h.diffs[0][0]==DIFF_EQUAL&&k.length>2*b?(h.length1+=k.length,e+=k.length,l=!1,h.diffs.push([g,k]),d.diffs.shift()):(k=k.substring(0,b-h.length1-this.Patch_Margin),h.length1+=k.length,e+=k.length,g===DIFF_EQUAL?(h.length2+=k.length,f+=k.length):l=!1,h.diffs.push([g,k]),k==d.diffs[0][1]?d.diffs.shift():d.diffs[0][1]=d.diffs[0][1].substring(k.length))}g=this.diff_text2(h.diffs);g=g.substring(g.length-this.Patch_Margin);k=this.diff_text1(d.diffs).substring(0,\nthis.Patch_Margin);\"\"!==k&&(h.length1+=k.length,h.length2+=k.length,0!==h.diffs.length&&h.diffs[h.diffs.length-1][0]===DIFF_EQUAL?h.diffs[h.diffs.length-1][1]+=k:h.diffs.push([DIFF_EQUAL,k]));l||a.splice(++c,0,h)}}};diff_match_patch.prototype.patch_toText=function(a){for(var b=[],c=0;c<a.length;c++)b[c]=a[c];return b.join(\"\")};\ndiff_match_patch.prototype.patch_fromText=function(a){var b=[];if(!a)return b;a=a.split(\"\\n\");for(var c=0,d=/^@@ -(\\d+),?(\\d*) \\+(\\d+),?(\\d*) @@$/;c<a.length;){var e=a[c].match(d);if(!e)throw Error(\"Invalid patch string: \"+a[c]);var f=new diff_match_patch.patch_obj;b.push(f);f.start1=parseInt(e[1],10);\"\"===e[2]?(f.start1--,f.length1=1):\"0\"==e[2]?f.length1=0:(f.start1--,f.length1=parseInt(e[2],10));f.start2=parseInt(e[3],10);\"\"===e[4]?(f.start2--,f.length2=1):\"0\"==e[4]?f.length2=0:(f.start2--,f.length2=\nparseInt(e[4],10));for(c++;c<a.length;){e=a[c].charAt(0);try{var g=decodeURI(a[c].substring(1))}catch(h){throw Error(\"Illegal escape in patch_fromText: \"+g);}if(\"-\"==e)f.diffs.push([DIFF_DELETE,g]);else if(\"+\"==e)f.diffs.push([DIFF_INSERT,g]);else if(\" \"==e)f.diffs.push([DIFF_EQUAL,g]);else if(\"@\"==e)break;else if(\"\"!==e)throw Error('Invalid patch mode \"'+e+'\" in: '+g);c++}}return b};diff_match_patch.patch_obj=function(){this.diffs=[];this.start2=this.start1=null;this.length2=this.length1=0};\ndiff_match_patch.patch_obj.prototype.toString=function(){for(var a=[\"@@ -\"+(0===this.length1?this.start1+\",0\":1==this.length1?this.start1+1:this.start1+1+\",\"+this.length1)+\" +\"+(0===this.length2?this.start2+\",0\":1==this.length2?this.start2+1:this.start2+1+\",\"+this.length2)+\" @@\\n\"],b,c=0;c<this.diffs.length;c++){switch(this.diffs[c][0]){case DIFF_INSERT:b=\"+\";break;case DIFF_DELETE:b=\"-\";break;case DIFF_EQUAL:b=\" \"}a[c+1]=b+encodeURI(this.diffs[c][1])+\"\\n\"}return a.join(\"\").replace(/%20/g,\" \")};\nthis.diff_match_patch=diff_match_patch;this.DIFF_DELETE=DIFF_DELETE;this.DIFF_INSERT=DIFF_INSERT;this.DIFF_EQUAL=DIFF_EQUAL;\n}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/diff-match-patch/diff_match_patch.js",
"module-type": "library"
},
"$:/core/modules/utils/dom/animations/slide.js": {
"title": "$:/core/modules/utils/dom/animations/slide.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "animation"
},
"$:/core/modules/utils/dom/animator.js": {
"title": "$:/core/modules/utils/dom/animator.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/browser.js": {
"title": "$:/core/modules/utils/dom/browser.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/csscolorparser.js": {
"title": "$:/core/modules/utils/dom/csscolorparser.js",
"text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) { // Clamp to integer 0 .. 255.\n i = Math.round(i); // Seems to be what Chrome does (vs truncation).\n return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) { // Clamp to float 0.0 .. 1.0.\n return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) { // int or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_byte(parseFloat(str) / 100 * 255);\n return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) { // float or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_float(parseFloat(str) / 100);\n return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n if (h < 0) h += 1;\n else if (h > 1) h -= 1;\n\n if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n if (h * 2 < 1) return m2;\n if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n return m1;\n}\n\nfunction parseCSSColor(css_str) {\n // Remove all whitespace, not compliant, but should just be more accepting.\n var str = css_str.replace(/ /g, '').toLowerCase();\n\n // Color keywords (and transparent) lookup.\n if (str in kCSSColorTable) return kCSSColorTable[str].slice(); // dup.\n\n // #abc and #abc123 syntax.\n if (str[0] === '#') {\n if (str.length === 4) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xfff)) return null; // Covers NaN.\n return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n (iv & 0xf0) | ((iv & 0xf0) >> 4),\n (iv & 0xf) | ((iv & 0xf) << 4),\n 1];\n } else if (str.length === 7) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xffffff)) return null; // Covers NaN.\n return [(iv & 0xff0000) >> 16,\n (iv & 0xff00) >> 8,\n iv & 0xff,\n 1];\n }\n\n return null;\n }\n\n var op = str.indexOf('('), ep = str.indexOf(')');\n if (op !== -1 && ep + 1 === str.length) {\n var fname = str.substr(0, op);\n var params = str.substr(op+1, ep-(op+1)).split(',');\n var alpha = 1; // To allow case fallthrough.\n switch (fname) {\n case 'rgba':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'rgb':\n if (params.length !== 3) return null;\n return [parse_css_int(params[0]),\n parse_css_int(params[1]),\n parse_css_int(params[2]),\n alpha];\n case 'hsla':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'hsl':\n if (params.length !== 3) return null;\n var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360; // 0 .. 1\n // NOTE(deanm): According to the CSS spec s/l should only be\n // percentages, but we don't bother and let float or percentage.\n var s = parse_css_float(params[1]);\n var l = parse_css_float(params[2]);\n var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n var m1 = l * 2 - m2;\n return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n alpha];\n default:\n return null;\n }\n }\n\n return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom.js": {
"title": "$:/core/modules/utils/dom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.className && el.className.toString().split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = el.className.split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = el.className.split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function(srcWindow) {\n\tvar scrollWindow = srcWindow || window;\n\tif(\"scrollX\" in scrollWindow) {\n\t\treturn {x: scrollWindow.scrollX, y: scrollWindow.scrollY};\n\t} else {\n\t\treturn {x: scrollWindow.document.documentElement.scrollLeft, y: scrollWindow.document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight || parseInt(minHeight,10);\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(element.ownerDocument.defaultView),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\tvar done = false;\n\ttry {\n\t\twindow.localStorage.setItem(\"tw5-password-\" + name,password);\n\t\tdone = true;\n\t} catch(e) {\n\t}\n\tif(!done) {\n\t\t$tw.savedPasswords = $tw.savedPasswords || Object.create(null);\n\t\t$tw.savedPasswords[name] = password;\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\tvar value;\n\ttry {\n\t\tvalue = window.localStorage.getItem(\"tw5-password-\" + name);\n\t} catch(e) {\n\t}\n\tif(value !== undefined) {\n\t\treturn value;\n\t} else {\n\t\treturn ($tw.savedPasswords || Object.create(null))[name] || \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n/*\nCopy plain text to the clipboard on browsers that support it\n*/\nexports.copyToClipboard = function(text,options) {\n\toptions = options || {};\n\tvar textArea = document.createElement(\"textarea\");\n\ttextArea.style.position = \"fixed\";\n\ttextArea.style.top = 0;\n\ttextArea.style.left = 0;\n\ttextArea.style.fontSize = \"12pt\";\n\ttextArea.style.width = \"2em\";\n\ttextArea.style.height = \"2em\";\n\ttextArea.style.padding = 0;\n\ttextArea.style.border = \"none\";\n\ttextArea.style.outline = \"none\";\n\ttextArea.style.boxShadow = \"none\";\n\ttextArea.style.background = \"transparent\";\n\ttextArea.value = text;\n\tdocument.body.appendChild(textArea);\n\ttextArea.select();\n\ttextArea.setSelectionRange(0,text.length);\n\tvar succeeded = false;\n\ttry {\n\t\tsucceeded = document.execCommand(\"copy\");\n\t} catch (err) {\n\t}\n\tif(!options.doNotNotify) {\n\t\t$tw.notifier.display(succeeded ? \"$:/language/Notifications/CopiedToClipboard/Succeeded\" : \"$:/language/Notifications/CopiedToClipboard/Failed\");\n\t}\n\tdocument.body.removeChild(textArea);\n};\n\nexports.getLocationPath = function() {\n\treturn window.location.toString().split(\"#\")[0];\n};\n\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/dragndrop.js": {
"title": "$:/core/modules/utils/dom/dragndrop.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\ndragImageType: \"pill\" or \"dom\"\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the contect for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif((domNode.tagName || \"\").toLowerCase() !== \"a\") {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\t\t\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\tif(event.dataTransfer === undefined) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \tstartActions = options.startActions;\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && event.target === domNode) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(event.target,\"tc-dragging\");\n\t\t\t\t// Invoke drag-start actions if given\n\t\t\t\tif(startActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(startActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif(event.target === domNode) {\n\t\t\t\t// Collect the tiddlers being dragged\n\t\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \t\tendActions = options.endActions;\n\t\t\t\tif(dragFilter) {\n\t\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t\t}\n\t\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Invoke drag-end actions if given\n\t\t\t\tif(endActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(endActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(event.target,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Available data types:\");\n\t\tfor(var type=0; type<dataTransfer.types.length; type++) {\n\t\t\tconsole.log(\"type\",dataTransfer.types[type],dataTransfer.getData(dataTransfer.types[type]))\n\t\t}\n\t}\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = JSON.parse(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/http.js": {
"title": "$:/core/modules/utils/dom/http.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\theaders: hashmap of headers to send\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data,xhr)\n\treturnProp: string name of the property to return as first argument of callback\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\turl = options.url,\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tif(type === \"GET\" || type === \"HEAD\") {\n\t\t\t\turl += \"?\" + results.join(\"&\");\n\t\t\t} else {\n\t\t\t\tdata = results.join(\"&\");\n\t\t\t}\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status,null,this);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !$tw.utils.hop(headers,\"Content-type\")) {\n\t\trequest.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\tif(!$tw.utils.hop(headers,\"X-Requested-With\")) {\n\t\trequest.setRequestHeader(\"X-Requested-With\",\"TiddlyWiki\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e,null,this);\n\t}\n\treturn request;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/keyboard.js": {
"title": "$:/core/modules/utils/dom/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/modal.js": {
"title": "$:/core/modules/utils/dom/modal.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tthis.srcDocument = options.variables && (options.variables.rootwindow === \"true\" ||\n\t\t\t\toptions.variables.rootwindow === \"yes\") ? document :\n\t\t\t\t(options.event.event && options.event.event.target ? options.event.event.target.ownerDocument : document);\n\tthis.srcWindow = this.srcDocument.defaultView;\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Create the wrapper divs\n\tvar wrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalBackdrop = this.srcDocument.createElement(\"div\"),\n\t\tmodalWrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalHeader = this.srcDocument.createElement(\"div\"),\n\t\theaderTitle = this.srcDocument.createElement(\"h3\"),\n\t\tmodalBody = this.srcDocument.createElement(\"div\"),\n\t\tmodalLink = this.srcDocument.createElement(\"a\"),\n\t\tmodalFooter = this.srcDocument.createElement(\"div\"),\n\t\tmodalFooterHelp = this.srcDocument.createElement(\"span\"),\n\t\tmodalFooterButtons = this.srcDocument.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\tif(tiddler.fields && tiddler.fields.class) {\n\t\t$tw.utils.addClass(wrapper,tiddler.fields.class);\n\t}\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(this.srcDocument.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler.fields && tiddler.fields.help) {\n\t\tvar link = this.srcDocument.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(this.srcDocument.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + self.srcWindow.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\tself.srcWindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tself.srcDocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-this.srcWindow.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tthis.srcDocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tvar windowContainer = $tw.pageContainer ? ($tw.pageContainer === this.srcDocument.body.firstChild ? $tw.pageContainer : this.srcDocument.body.firstChild) : null;\n\tif(windowContainer) {\n\t\t$tw.utils.toggleClass(windowContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/notifier.js": {
"title": "$:/core/modules/utils/dom/notifier.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/popup.js": {
"title": "$:/core/modules/utils/dom/popup.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned (one of domNode or domNodeRect is required)\n\tdomNodeRect: rectangle to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n\tfloating: if true, skips registering the popup, meaning that it will need manually clearing\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\n\t// Store the popup details if not already there\n\tif(!options.floating && this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode,\n\t\t\tnoStateReference: options.noStateReference\n\t\t});\n\t}\n\t// Set the state tiddler\n\tvar rect;\n\tif(options.domNodeRect) {\n\t\trect = options.domNodeRect;\n\t} else {\n\t\trect = {\n\t\t\tleft: options.domNode.offsetLeft,\n\t\t\ttop: options.domNode.offsetTop,\n\t\t\twidth: options.domNode.offsetWidth,\n\t\t\theight: options.domNode.offsetHeight\n\t\t};\n\t}\n\tvar popupRect = \"(\" + rect.left + \",\" + rect.top + \",\" + \n\t\t\t\trect.width + \",\" + rect.height + \")\";\n\tif(options.noStateReference) {\n\t\toptions.wiki.setText(options.title,\"text\",undefined,popupRect);\n\t} else {\n\t\toptions.wiki.setTextReference(options.title,popupRect);\n\t}\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tif(popup.noStateReference) {\n\t\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t\t} else {\n\t\t\t\tpopup.wiki.deleteTiddler($tw.utils.parseTextReference(popup.title).title);\n \t\t}\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/scroller.js": {
"title": "$:/core/modules/utils/dom/scroller.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.isScrolling = function() {\n\treturn this.idRequestFrame !== null;\n}\n\nPageScroller.prototype.cancelScroll = function(srcWindow) {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(srcWindow,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\treturn this.scrollIntoView(event.target);\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element,callback) {\n\tvar self = this,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t srcWindow = element ? element.ownerDocument.defaultView : window;\n\t// Now get ready to scroll the body\n\tthis.cancelScroll(srcWindow);\n\tthis.startTime = Date.now();\n\t// Get the height of any position:fixed toolbars\n\tvar toolbar = srcWindow.document.querySelector(\".tc-adjust-top-of-scroll\"),\n\t\toffset = 0;\n\tif(toolbar) {\n\t\toffset = toolbar.offsetHeight;\n\t}\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar getBounds = function() {\n\t\t\tvar clientBounds = typeof callback === 'function' ? callback() : element.getBoundingClientRect(),\n\t\t\t\tscrollPosition = $tw.utils.getScrollPosition(srcWindow);\n\t\t\treturn {\n\t\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\t\ttop: clientBounds.top + scrollPosition.y - offset,\n\t\t\t\twidth: clientBounds.width,\n\t\t\t\theight: clientBounds.height\n\t\t\t};\n\t\t},\n\t\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t\t// targetPos/targetSize - position and size of the target element\n\t\t// currentPos/currentSize - position and size of the current scroll viewport\n\t\t// returns: new position of the scroll viewport\n\t\tgetEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = targetPos;\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tdrawFrame = function drawFrame() {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll(srcWindow);\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tvar scrollPosition = $tw.utils.getScrollPosition(srcWindow),\n\t\t\t\tbounds = getBounds(),\n\t\t\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,srcWindow.innerWidth),\n\t\t\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,srcWindow.innerHeight);\n\t\t\tsrcWindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\tdrawFrame();\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/edition-info.js": {
"title": "$:/core/modules/utils/edition-info.js",
"text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/fakedom.js": {
"title": "$:/core/modules/utils/fakedom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis._style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nObject.defineProperty(TW_Element.prototype, \"style\", {\n\tget: function() {\n\t\treturn this._style;\n\t},\n\tset: function(str) {\n\t\tvar self = this;\n\t\tstr = str || \"\";\n\t\t$tw.utils.each(str.split(\";\"),function(declaration) {\n\t\t\tvar parts = declaration.split(\":\"),\n\t\t\t\tname = $tw.utils.trim(parts[0]),\n\t\t\t\tvalue = $tw.utils.trim(parts[1]);\n\t\t\tif(name && value) {\n\t\t\t\tself._style[$tw.utils.convertStyleNameToPropertyName(name)] = value;\n\t\t\t}\n\t\t});\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value + \"\";\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this._style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this._style) {\n\t\t\t\tstyle.push($tw.utils.convertPropertyNameToStyleName(s) + \":\" + this._style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\");\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/filesystem.js": {
"title": "$:/core/modules/utils/filesystem.js",
"text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = $tw.utils.removeTrailingSeparator(srcPath);\n\tdstPath = $tw.utils.removeTrailingSeparator(dstPath);\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = Buffer.alloc(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n/*\nCreate a fileInfo object for saving a tiddler:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\nOptions include:\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFileInfo = function(tiddler,options) {\n\tvar fileInfo = {};\n\t// Check if the tiddler has any unsafe fields that can't be expressed in a .tid or .meta file: containing control characters, or leading/trailing whitespace\n\tvar hasUnsafeFields = false;\n\t$tw.utils.each(tiddler.getFieldStrings(),function(value,fieldName) {\n\t\tif(fieldName !== \"text\") {\n\t\t\thasUnsafeFields = hasUnsafeFields || /[\\x00-\\x1F]/mg.test(value);\n\t\t\thasUnsafeFields = hasUnsafeFields || ($tw.utils.trim(value) !== value);\n\t\t}\n\t});\n\t// Check for field values \n\tif(hasUnsafeFields) {\n\t\t// Save as a JSON file\n\t\tfileInfo.type = \"application/json\";\n\t\tfileInfo.hasMetaFile = false;\n\t} else {\n\t\t// Save as a .tid or a text/binary file plus a .meta file\n\t\tvar tiddlerType = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\tif(tiddlerType === \"text/vnd.tiddlywiki\") {\n\t\t\t// Save as a .tid file\n\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\tfileInfo.hasMetaFile = false;\n\t\t} else {\n\t\t\t// Save as a text/binary file and a .meta file\n\t\t\tfileInfo.type = tiddlerType;\n\t\t\tfileInfo.hasMetaFile = true;\n\t\t}\n\t}\n\t// Take the file extension from the tiddler content type\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[fileInfo.type] || {extension: \"\"};\n\t// Generate the filepath\n\tfileInfo.filepath = $tw.utils.generateTiddlerFilepath(tiddler.fields.title,{\n\t\textension: contentTypeInfo.extension,\n\t\tdirectory: options.directory,\n\t\tpathFilters: options.pathFilters,\n\t\twiki: options.wiki\n\t});\n\treturn fileInfo;\n};\n\n/*\nGenerate the filepath for saving a tiddler\nOptions include:\n\textension: file extension to be added the finished filepath\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFilepath = function(title,options) {\n\tvar self = this,\n\t\tdirectory = options.directory || \"\",\n\t\textension = options.extension || \"\",\n\t\tfilepath;\n\t// Check if any of the pathFilters applies\n\tif(options.pathFilters && options.wiki) {\n\t\t$tw.utils.each(options.pathFilters,function(filter) {\n\t\t\tif(!filepath) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\tfilepath = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// If not, generate a base pathname\n\tif(!filepath) {\n\t\tfilepath = title;\n\t\t// If the filepath already ends in the extension then remove it\n\t\tif(filepath.substring(filepath.length - extension.length) === extension) {\n\t\t\tfilepath = filepath.substring(0,filepath.length - extension.length);\n\t\t}\n\t\t// Remove any forward or backward slashes so we don't create directories\n\t\tfilepath = filepath.replace(/\\/|\\\\/g,\"_\");\n\t}\n\t// Don't let the filename start with a dot because such files are invisible on *nix\n\tfilepath = filepath.replace(/^\\./g,\"_\");\n\t// Remove any characters that can't be used in cross-platform filenames\n\tfilepath = $tw.utils.transliterate(filepath.replace(/<|>|\\:|\\\"|\\||\\?|\\*|\\^/g,\"_\"));\n\t// Truncate the filename if it is too long\n\tif(filepath.length > 200) {\n\t\tfilepath = filepath.substr(0,200);\n\t}\n\t// If the resulting filename is blank (eg because the title is just punctuation characters)\n\tif(!filepath) {\n\t\t// ...then just use the character codes of the title\n\t\tfilepath = \"\";\t\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tif(filepath) {\n\t\t\t\tfilepath += \"-\";\n\t\t\t}\n\t\t\tfilepath += char.charCodeAt(0).toString();\n\t\t});\n\t}\n\t// Add a uniquifier if the file already exists\n\tvar fullPath,\n\t\tcount = 0;\n\tdo {\n\t\tfullPath = path.resolve(directory,filepath + (count ? \"_\" + count : \"\") + extension);\n\t\tcount++;\n\t} while(fs.existsSync(fullPath));\n\t// Return the full path to the file\n\treturn fullPath;\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFile = function(tiddler,fileInfo,callback) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFile(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tfs.writeFile(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\",callback);\n\t\t});\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFile(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\",callback);\n\t\t} else {\n\t\t\tfs.writeFile(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\",callback);\n\t\t}\n\t}\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFileSync = function(tiddler,fileInfo) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFileSync(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding);\n\t\tfs.writeFileSync(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\");\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFileSync(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\");\n\t\t} else {\n\t\t\tfs.writeFileSync(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/logger.js": {
"title": "$:/core/modules/utils/logger.js",
"text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n\tthis.save = \"save\" in options ? options.save : true;\n\tthis.saveLimit = options.saveLimit || 100 * 1024;\n\tthis.saveBufferLogger = this;\n\tthis.buffer = \"\";\n\tthis.alertCount = 0;\n}\n\nLogger.prototype.setSaveBuffer = function(logger) {\n\tthis.saveBufferLogger = logger;\n};\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tvar self = this;\n\tif(this.enable) {\n\t\tif(this.saveBufferLogger.save) {\n\t\t\tthis.saveBufferLogger.buffer += $tw.utils.formatDateString(new Date(),\"YYYY MM DD 0hh:0mm:0ss.0XXX\") + \":\";\n\t\t\t$tw.utils.each(Array.prototype.slice.call(arguments,0),function(arg,index) {\n\t\t\t\tself.saveBufferLogger.buffer += \" \" + arg;\n\t\t\t});\n\t\t\tthis.saveBufferLogger.buffer += \"\\n\";\n\t\t\tthis.saveBufferLogger.buffer = this.saveBufferLogger.buffer.slice(-this.saveBufferLogger.saveLimit);\t\t\t\n\t\t}\n\t\tif(console !== undefined && console.log !== undefined) {\n\t\t\treturn Function.apply.call(console.log, console, [$tw.utils.terminalColour(this.colour),this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)).concat($tw.utils.terminalColour()));\n\t\t}\n\t} \n};\n\n/*\nRead the message buffer\n*/\nLogger.prototype.getBuffer = function() {\n\treturn this.saveBufferLogger.buffer;\n};\n\n/*\nLog a structure as a table\n*/\nLogger.prototype.table = function(value) {\n\t(console.table || console.log)(value);\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t\tthis.alertCount += 1;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\t\t\n\t}\n};\n\n/*\nClear outstanding alerts\n*/\nLogger.prototype.clearAlerts = function() {\n\tvar self = this;\n\tif($tw.browser && this.alertCount > 0) {\n\t\t$tw.utils.each($tw.wiki.getTiddlersWithTag(ALERT_TAG),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.component === self.componentName) {\n\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t}\n\t\t});\n\t\tthis.alertCount = 0;\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/parsetree.js": {
"title": "$:/core/modules/utils/parsetree.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/performance.js": {
"title": "$:/core/modules/utils/performance.js",
"text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap by measurement name of {time:, invocations:}\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n\tthis.showGreeting();\n}\n\nPerformance.prototype.showGreeting = function() {\n\tif($tw.browser) {\n\t\tthis.logger.log(\"Execute $tw.perf.log(); to see filter execution timings\");\t\t\n\t}\n};\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nPerformance.prototype.log = function() {\n\tvar self = this,\n\t\ttotalTime = 0,\n\t\torderedMeasures = Object.keys(this.measures).sort(function(a,b) {\n\t\t\tif(self.measures[a].time > self.measures[b].time) {\n\t\t\t\treturn -1;\n\t\t\t} else if (self.measures[a].time < self.measures[b].time) {\n\t\t\t\treturn + 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t});\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\ttotalTime += self.measures[name].time;\n\t});\n\tvar results = []\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\tvar measure = self.measures[name];\n\t\tresults.push({name: name,invocations: measure.invocations, avgTime: measure.time / measure.invocations, totalTime: measure.time, percentTime: (measure.time / totalTime) * 100})\n\t});\n\tself.logger.table(results);\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tif(!(name in self.measures)) {\n\t\t\t\tself.measures[name] = {time: 0, invocations: 0};\n\t\t\t}\n\t\t\tself.measures[name].time += $tw.utils.timer(startTime);\n\t\t\tself.measures[name].invocations++;\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/pluginmaker.js": {
"title": "$:/core/modules/utils/pluginmaker.js",
"text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/transliterate.js": {
"title": "$:/core/modules/utils/transliterate.js",
"text": "/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = 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:\"o\",\n\t\"ṓ\":\"o\",\n\t\"ṑ\":\"o\",\n\t\"ǫ\":\"o\",\n\t\"ǭ\":\"o\",\n\t\"ø\":\"o\",\n\t\"ǿ\":\"o\",\n\t\"õ\":\"o\",\n\t\"ṍ\":\"o\",\n\t\"ṏ\":\"o\",\n\t\"ȭ\":\"o\",\n\t\"ƣ\":\"oi\",\n\t\"ꝏ\":\"oo\",\n\t\"ɛ\":\"e\",\n\t\"ᶓ\":\"e\",\n\t\"ɔ\":\"o\",\n\t\"ᶗ\":\"o\",\n\t\"ȣ\":\"ou\",\n\t\"ṕ\":\"p\",\n\t\"ṗ\":\"p\",\n\t\"ꝓ\":\"p\",\n\t\"ƥ\":\"p\",\n\t\"ᵱ\":\"p\",\n\t\"ᶈ\":\"p\",\n\t\"ꝕ\":\"p\",\n\t\"ᵽ\":\"p\",\n\t\"ꝑ\":\"p\",\n\t\"ꝙ\":\"q\",\n\t\"ʠ\":\"q\",\n\t\"ɋ\":\"q\",\n\t\"ꝗ\":\"q\",\n\t\"ŕ\":\"r\",\n\t\"ř\":\"r\",\n\t\"ŗ\":\"r\",\n\t\"ṙ\":\"r\",\n\t\"ṛ\":\"r\",\n\t\"ṝ\":\"r\",\n\t\"ȑ\":\"r\",\n\t\"ɾ\":\"r\",\n\t\"ᵳ\":\"r\",\n\t\"ȓ\":\"r\",\n\t\"ṟ\":\"r\",\n\t\"ɼ\":\"r\",\n\t\"ᵲ\":\"r\",\n\t\"ᶉ\":\"r\",\n\t\"ɍ\":\"r\",\n\t\"ɽ\":\"r\",\n\t\"ↄ\":\"c\",\n\t\"ꜿ\":\"c\",\n\t\"ɘ\":\"e\",\n\t\"ɿ\":\"r\",\n\t\"ś\":\"s\",\n\t\"ṥ\":\"s\",\n\t\"š\":\"s\",\n\t\"ṧ\":\"s\",\n\t\"ş\":\"s\",\n\t\"ŝ\":\"s\",\n\t\"ș\":\"s\",\n\t\"ṡ\":\"s\",\n\t\"ṣ\":\"s\",\n\t\"ṩ\":\"s\",\n\t\"ʂ\":\"s\",\n\t\"ᵴ\":\"s\",\n\t\"ᶊ\":\"s\",\n\t\"ȿ\":\"s\",\n\t\"ɡ\":\"g\",\n\t\"ᴑ\":\"o\",\n\t\"ᴓ\":\"o\",\n\t\"ᴝ\":\"u\",\n\t\"ť\":\"t\",\n\t\"ţ\":\"t\",\n\t\"ṱ\":\"t\",\n\t\"ț\":\"t\",\n\t\"ȶ\":\"t\",\n\t\"ẗ\":\"t\",\n\t\"ⱦ\":\"t\",\n\t\"ṫ\":\"t\",\n\t\"ṭ\":\"t\",\n\t\"ƭ\":\"t\",\n\t\"ṯ\":\"t\",\n\t\"ᵵ\":\"t\",\n\t\"ƫ\":\"t\",\n\t\"ʈ\":\"t\",\n\t\"ŧ\":\"t\",\n\t\"ᵺ\":\"th\",\n\t\"ɐ\":\"a\",\n\t\"ᴂ\":\"ae\",\n\t\"ǝ\":\"e\",\n\t\"ᵷ\":\"g\",\n\t\"ɥ\":\"h\",\n\t\"ʮ\":\"h\",\n\t\"ʯ\":\"h\",\n\t\"ᴉ\":\"i\",\n\t\"ʞ\":\"k\",\n\t\"ꞁ\":\"l\",\n\t\"ɯ\":\"m\",\n\t\"ɰ\":\"m\",\n\t\"ᴔ\":\"oe\",\n\t\"ɹ\":\"r\",\n\t\"ɻ\":\"r\",\n\t\"ɺ\":\"r\",\n\t\"ⱹ\":\"r\",\n\t\"ʇ\":\"t\",\n\t\"ʌ\":\"v\",\n\t\"ʍ\":\"w\",\n\t\"ʎ\":\"y\",\n\t\"ꜩ\":\"tz\",\n\t\"ú\":\"u\",\n\t\"ŭ\":\"u\",\n\t\"ǔ\":\"u\",\n\t\"û\":\"u\",\n\t\"ṷ\":\"u\",\n\t\"ü\":\"u\",\n\t\"ǘ\":\"u\",\n\t\"ǚ\":\"u\",\n\t\"ǜ\":\"u\",\n\t\"ǖ\":\"u\",\n\t\"ṳ\":\"u\",\n\t\"ụ\":\"u\",\n\t\"ű\":\"u\",\n\t\"ȕ\":\"u\",\n\t\"ù\":\"u\",\n\t\"ủ\":\"u\",\n\t\"ư\":\"u\",\n\t\"ứ\":\"u\",\n\t\"ự\":\"u\",\n\t\"ừ\":\"u\",\n\t\"ử\":\"u\",\n\t\"ữ\":\"u\",\n\t\"ȗ\":\"u\",\n\t\"ū\":\"u\",\n\t\"ṻ\":\"u\",\n\t\"ų\":\"u\",\n\t\"ᶙ\":\"u\",\n\t\"ů\":\"u\",\n\t\"ũ\":\"u\",\n\t\"ṹ\":\"u\",\n\t\"ṵ\":\"u\",\n\t\"ᵫ\":\"ue\",\n\t\"ꝸ\":\"um\",\n\t\"ⱴ\":\"v\",\n\t\"ꝟ\":\"v\",\n\t\"ṿ\":\"v\",\n\t\"ʋ\":\"v\",\n\t\"ᶌ\":\"v\",\n\t\"ⱱ\":\"v\",\n\t\"ṽ\":\"v\",\n\t\"ꝡ\":\"vy\",\n\t\"ẃ\":\"w\",\n\t\"ŵ\":\"w\",\n\t\"ẅ\":\"w\",\n\t\"ẇ\":\"w\",\n\t\"ẉ\":\"w\",\n\t\"ẁ\":\"w\",\n\t\"ⱳ\":\"w\",\n\t\"ẘ\":\"w\",\n\t\"ẍ\":\"x\",\n\t\"ẋ\":\"x\",\n\t\"ᶍ\":\"x\",\n\t\"ý\":\"y\",\n\t\"ŷ\":\"y\",\n\t\"ÿ\":\"y\",\n\t\"ẏ\":\"y\",\n\t\"ỵ\":\"y\",\n\t\"ỳ\":\"y\",\n\t\"ƴ\":\"y\",\n\t\"ỷ\":\"y\",\n\t\"ỿ\":\"y\",\n\t\"ȳ\":\"y\",\n\t\"ẙ\":\"y\",\n\t\"ɏ\":\"y\",\n\t\"ỹ\":\"y\",\n\t\"ź\":\"z\",\n\t\"ž\":\"z\",\n\t\"ẑ\":\"z\",\n\t\"ʑ\":\"z\",\n\t\"ⱬ\":\"z\",\n\t\"ż\":\"z\",\n\t\"ẓ\":\"z\",\n\t\"ȥ\":\"z\",\n\t\"ẕ\":\"z\",\n\t\"ᵶ\":\"z\",\n\t\"ᶎ\":\"z\",\n\t\"ʐ\":\"z\",\n\t\"ƶ\":\"z\",\n\t\"ɀ\":\"z\",\n\t\"ff\":\"ff\",\n\t\"ffi\":\"ffi\",\n\t\"ffl\":\"ffl\",\n\t\"fi\":\"fi\",\n\t\"fl\":\"fl\",\n\t\"ij\":\"ij\",\n\t\"œ\":\"oe\",\n\t\"st\":\"st\",\n\t\"ₐ\":\"a\",\n\t\"ₑ\":\"e\",\n\t\"ᵢ\":\"i\",\n\t\"ⱼ\":\"j\",\n\t\"ₒ\":\"o\",\n\t\"ᵣ\":\"r\",\n\t\"ᵤ\":\"u\",\n\t\"ᵥ\":\"v\",\n\t\"ₓ\":\"x\",\n\t\"Ё\":\"YO\",\n\t\"Й\":\"I\",\n\t\"Ц\":\"TS\",\n\t\"У\":\"U\",\n\t\"К\":\"K\",\n\t\"Е\":\"E\",\n\t\"Н\":\"N\",\n\t\"Г\":\"G\",\n\t\"Ш\":\"SH\",\n\t\"Щ\":\"SCH\",\n\t\"З\":\"Z\",\n\t\"Х\":\"H\",\n\t\"Ъ\":\"'\",\n\t\"ё\":\"yo\",\n\t\"й\":\"i\",\n\t\"ц\":\"ts\",\n\t\"у\":\"u\",\n\t\"к\":\"k\",\n\t\"е\":\"e\",\n\t\"н\":\"n\",\n\t\"г\":\"g\",\n\t\"ш\":\"sh\",\n\t\"щ\":\"sch\",\n\t\"з\":\"z\",\n\t\"х\":\"h\",\n\t\"ъ\":\"'\",\n\t\"Ф\":\"F\",\n\t\"Ы\":\"I\",\n\t\"В\":\"V\",\n\t\"А\":\"a\",\n\t\"П\":\"P\",\n\t\"Р\":\"R\",\n\t\"О\":\"O\",\n\t\"Л\":\"L\",\n\t\"Д\":\"D\",\n\t\"Ж\":\"ZH\",\n\t\"Э\":\"E\",\n\t\"ф\":\"f\",\n\t\"ы\":\"i\",\n\t\"в\":\"v\",\n\t\"а\":\"a\",\n\t\"п\":\"p\",\n\t\"р\":\"r\",\n\t\"о\":\"o\",\n\t\"л\":\"l\",\n\t\"д\":\"d\",\n\t\"ж\":\"zh\",\n\t\"э\":\"e\",\n\t\"Я\":\"Ya\",\n\t\"Ч\":\"CH\",\n\t\"С\":\"S\",\n\t\"М\":\"M\",\n\t\"И\":\"I\",\n\t\"Т\":\"T\",\n\t\"Ь\":\"'\",\n\t\"Б\":\"B\",\n\t\"Ю\":\"YU\",\n\t\"я\":\"ya\",\n\t\"ч\":\"ch\",\n\t\"с\":\"s\",\n\t\"м\":\"m\",\n\t\"и\":\"i\",\n\t\"т\":\"t\",\n\t\"ь\":\"'\",\n\t\"б\":\"b\",\n\t\"ю\":\"yu\"\n};\n\nexports.transliterate = function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\nexports.transliterateToSafeASCII = function(str) {\n\treturn str.replace(/[^\\x00-\\x7F]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || \"\"\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/utils.js": {
"title": "$:/core/modules/utils/utils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar base64utf8 = require(\"$:/core/modules/utils/base64-utf8/base64-utf8.module.js\");\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nReturn the integer represented by the str (string).\nReturn the dflt (default) parameter if str is not a base-10 number.\n*/\nexports.getInt = function(str,deflt) {\n\tvar i = parseInt(str,10);\n\treturn isNaN(i) ? deflt : i;\n}\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nConvert a string to sentence case (ie capitalise first letter)\n*/\nexports.toSentenceCase = function(str) {\n\treturn (str || \"\").replace(/^\\S/, function(c) {return c.toUpperCase();});\n}\n\n/*\nConvert a string to title case (ie capitalise each initial letter)\n*/\nexports.toTitleCase = function(str) {\n\treturn (str || \"\").replace(/(^|\\s)\\S/g, function(c) {return c.toUpperCase();});\n}\n\t\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nDetermine whether an array-item is an object-property\n*/\nexports.hopArray = function(object,array) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tif($tw.utils.hop(object,array[i])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.getYearForWeekNo(date);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn date.getFullYear();\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds(),3);\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means\n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\")\n\t\t\treturn $tw.utils.stringifyDate(new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t}\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call();\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\", duration: 365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\", duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\", duration: 24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\", duration: 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration: 60 * 1000},\n\t\t{name: \"Seconds\", duration: 1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&\", < to \"<\", > to \">\", \" to \""\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&\").replace(/</mg,\"<\").replace(/>/mg,\">\").replace(/\\\"/mg,\""\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2), // Strip the & and the ;\n\t\tc;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\tc = parseInt(e.substr(2),16);\n\t\t} else {\n\t\t\tc = parseInt(e.substr(1),10);\n\t\t}\n\t\tif(isNaN(c)) {\n\t\t\treturn s;\n\t\t} else {\n\t\t\treturn converter(c);\n\t\t}\n\t} else {\n\t\tc = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/'/g, \"\\\\'\") // single quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g, exports.escape); // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s) {\n\t// See http://www.json.org/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/\\x08/g, '\\\\b') // backspace\n\t\t.replace(/\\x0c/g, '\\\\f') // formfeed\n\t\t.replace(/\\t/g, '\\\\t') // tab\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10) || 0;\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\treturn base64utf8.base64.decode.call(base64utf8,string64);\n};\n\n/*\nEncode a string to base64\n*/\nexports.base64Encode = function(string64) {\n\treturn base64utf8.base64.encode.call(base64utf8,string64);\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\n\t\tm = r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type,_canonical_uri) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tif(_canonical_uri) {\n\t\tparts.push(_canonical_uri);\n\t} else {\n\t\tparts.push(\"data:\");\n\t\tparts.push(type);\n\t\tparts.push(isBase64 ? \";base64\" : \"\");\n\t\tparts.push(\",\");\n\t\tparts.push(isBase64 ? text : encodeURIComponent(text));\t\t\n\t}\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n/*\nReturn system information useful for debugging\n*/\nexports.getSystemInfo = function(str,ending,position) {\n\tvar results = [],\n\t\tsave = function(desc,value) {\n\t\t\tresults.push(desc + \": \" + value);\n\t\t};\n\tif($tw.browser) {\n\t\tsave(\"User Agent\",navigator.userAgent);\n\t\tsave(\"Online Status\",window.navigator.onLine);\n\t}\n\tif($tw.node) {\n\t\tsave(\"Node Version\",process.version);\n\t}\n\treturn results.join(\"\\n\");\n};\n\nexports.parseNumber = function(str) {\n\treturn parseFloat(str) || 0;\n};\n\nexports.parseInt = function(str) {\n\treturn parseInt(str,10) || 0;\n};\n\nexports.stringifyNumber = function(num) {\n\treturn num + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/widgets/action-createtiddler.js": {
"title": "$:/core/modules/widgets/action-createtiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw:false, require:false, exports:false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.hasBase = !!this.actionBaseTitle;\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionSaveDraftTitle = this.getAttribute(\"$savedrafttitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n\t//Following params are new since 5.1.22\n\tthis.actionTemplate = this.getAttribute(\"$template\");\n\tthis.useTemplate = !!this.actionTemplate;\n\tthis.actionOverwrite = this.getAttribute(\"$overwrite\",\"no\");\n\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.getTiddlerText(\"$:/language/DefaultNewTiddlerTitle\"), // Get the initial new-tiddler title\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tif(this.hasBase && this.actionOverwrite === \"no\") {\n\t\ttitle = this.wiki.generateNewTitle(this.actionBaseTitle);\n\t} else if (this.hasBase && this.actionOverwrite === \"yes\") {\n\t\ttitle = this.actionBaseTitle\n\t}\n\t// NO $basetitle BUT $template parameter is available\n\t// the title MUST be unique, otherwise the template would be overwritten\n\tif (!this.hasBase && this.useTemplate) {\n\t\ttitle = this.wiki.generateNewTitle(this.actionTemplate);\n\t} else if (!this.hasBase && !this.useTemplate) {\n\t\t// If NO $basetitle AND NO $template use initial title\n\t\t// DON'T overwrite any stuff\n\t\ttitle = this.wiki.generateNewTitle(title);\n\t}\n\tvar templateTiddler = this.wiki.getTiddler(this.actionTemplate) || {};\n\tvar tiddler = this.wiki.addTiddler(new $tw.Tiddler(templateTiddler.fields,creationFields,fields,modificationFields,{title: title}));\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.actionSaveDraftTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveDraftTitle,this.wiki.generateDraftTitle(title),this.getVariable(\"currentTiddler\"));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletefield.js": {
"title": "$:/core/modules/widgets/action-deletefield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif(this.actionField && tiddler) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletetiddler.js": {
"title": "$:/core/modules/widgets/action-deletetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-listops.js": {
"title": "$:/core/modules/widgets/action-listops.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-navigate.js": {
"title": "$:/core/modules/widgets/action-navigate.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tevent = event || {};\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-popup.js": {
"title": "$:/core/modules/widgets/action-popup.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-popup.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to trigger a popup.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionPopupWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionPopupWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionPopupWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionPopupWidget.prototype.execute = function() {\n\tthis.actionState = this.getAttribute(\"$state\");\n\tthis.actionCoords = this.getAttribute(\"$coords\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nActionPopupWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$state\"] || changedAttributes[\"$coords\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionPopupWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Trigger the popup\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(this.actionCoords);\n\tif(match) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: null,\n\t\t\tdomNodeRect: {\n\t\t\t\tleft: parseFloat(match[1]),\n\t\t\t\ttop: parseFloat(match[2]),\n\t\t\t\twidth: parseFloat(match[3]),\n\t\t\t\theight: parseFloat(match[4])\n\t\t\t},\n\t\t\ttitle: this.actionState,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-popup\"] = ActionPopupWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-sendmessage.js": {
"title": "$:/core/modules/widgets/action-sendmessage.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-setfield.js": {
"title": "$:/core/modules/widgets/action-setfield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\") || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/browse.js": {
"title": "$:/core/modules/widgets/browse.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/button.js": {
"title": "$:/core/modules/widgets/button.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = \"button\";\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = (this.popup || this.popupTitle) && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif((this.set || this.setTitle) && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\t\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(self,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup || self.popupTitle) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set || self.setTitle) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n return this.setTitle ? (this.setField ? this.wiki.getTiddler(this.setTitle).getFieldString(this.setField) === this.setTo :\n\t\t(this.setIndex ? this.wiki.extractTiddlerDataItem(this.setTitle,this.setIndex) === this.setTo :\n\t\t\tthis.wiki.getTiddlerText(this.setTitle))) || this.defaultSetValue || this.getVariable(\"currentTiddler\") :\n\t\tthis.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.popupTitle ? this.wiki.getTiddler(this.popupTitle) : this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\tif(this.popupTitle) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popupTitle,\n\t\t\twiki: this.wiki,\n\t\t\tnoStateReference: true\n\t\t});\n\t} else {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popup,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tif(this.setTitle) {\n\t\tthis.setField ? this.wiki.setText(this.setTitle,this.setField,undefined,this.setTo) :\n\t\t\t\t(this.setIndex ? this.wiki.setText(this.setTitle,undefined,this.setIndex,this.setTo) :\n\t\t\t\tthis.wiki.setText(this.setTitle,\"text\",undefined,this.setTo));\n\t} else {\n\t\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\tthis.setTitle = this.getAttribute(\"setTitle\");\n\tthis.setField = this.getAttribute(\"setField\");\n\tthis.setIndex = this.getAttribute(\"setIndex\");\n\tthis.popupTitle = this.getAttribute(\"popupTitle\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.actions || changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes[\"class\"] || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup]) || (this.popupTitle && changedTiddlers[this.popupTitle]) || changedAttributes.setTitle || changedAttributes.setField || changedAttributes.setIndex || changedAttributes.popupTitle) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/checkbox.js": {
"title": "$:/core/modules/widgets/checkbox.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value;\n\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxIndex) {\n\t\t\tvar value = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n\tif(this.checkboxCheckActions && checked) {\n\t\tthis.invokeActionString(this.checkboxCheckActions,this,event);\n\t}\n\tif(this.checkboxUncheckActions && !checked) {\n\t\tthis.invokeActionString(this.checkboxUncheckActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxCheckActions = this.getAttribute(\"checkactions\");\n\tthis.checkboxUncheckActions = this.getAttribute(\"uncheckactions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/codeblock.js": {
"title": "$:/core/modules/widgets/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/count.js": {
"title": "$:/core/modules/widgets/count.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = \"0\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/diff-text.js": {
"title": "$:/core/modules/widgets/diff-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/diff-text.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display a diff between two texts\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tdmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nvar DiffTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDiffTextWidget.prototype = new Widget();\n\nDiffTextWidget.prototype.invisibleCharacters = {\n\t\"\\n\": \"↩︎\\n\",\n\t\"\\r\": \"⇠\",\n\t\"\\t\": \"⇥\\t\"\n};\n\n/*\nRender this widget into the DOM\n*/\nDiffTextWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create the diff\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tdiffs = dmpObject.diff_main(this.getAttribute(\"source\"),this.getAttribute(\"dest\"));\n\t// Apply required cleanup\n\tswitch(this.getAttribute(\"cleanup\",\"semantic\")) {\n\t\tcase \"none\":\n\t\t\t// No cleanup\n\t\t\tbreak;\n\t\tcase \"efficiency\":\n\t\t\tdmpObject.diff_cleanupEfficiency(diffs);\n\t\t\tbreak;\n\t\tdefault: // case \"semantic\"\n\t\t\tdmpObject.diff_cleanupSemantic(diffs);\n\t\t\tbreak;\n\t}\n\t// Create the elements\n\tvar domContainer = this.document.createElement(\"div\"), \n\t\tdomDiff = this.createDiffDom(diffs);\n\tparent.insertBefore(domContainer,nextSibling);\n\t// Set variables\n\tthis.setVariable(\"diff-count\",diffs.reduce(function(acc,diff) {\n\t\tif(diff[0] !== dmp.DIFF_EQUAL) {\n\t\t\tacc++;\n\t\t}\n\t\treturn acc;\n\t},0).toString());\n\t// Render child widgets\n\tthis.renderChildren(domContainer,null);\n\t// Render the diff\n\tdomContainer.appendChild(domDiff);\n\t// Save our container\n\tthis.domNodes.push(domContainer);\n};\n\n/*\nCreate DOM elements representing a list of diffs\n*/\nDiffTextWidget.prototype.createDiffDom = function(diffs) {\n\tvar self = this;\n\t// Create the element and assign the attributes\n\tvar domPre = this.document.createElement(\"pre\"),\n\t\tdomCode = this.document.createElement(\"code\");\n\t$tw.utils.each(diffs,function(diff) {\n\t\tvar tag = diff[0] === dmp.DIFF_INSERT ? \"ins\" : (diff[0] === dmp.DIFF_DELETE ? \"del\" : \"span\"),\n\t\t\tclassName = diff[0] === dmp.DIFF_INSERT ? \"tc-diff-insert\" : (diff[0] === dmp.DIFF_DELETE ? \"tc-diff-delete\" : \"tc-diff-equal\"),\n\t\t\tdom = self.document.createElement(tag),\n\t\t\ttext = diff[1],\n\t\t\tcurrPos = 0,\n\t\t\tre = /([\\x00-\\x1F])/mg,\n\t\t\tmatch = re.exec(text),\n\t\t\tspan,\n\t\t\tprintable;\n\t\tdom.className = className;\n\t\twhile(match) {\n\t\t\tif(currPos < match.index) {\n\t\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos,match.index)));\n\t\t\t}\n\t\t\tspan = self.document.createElement(\"span\");\n\t\t\tspan.className = \"tc-diff-invisible\";\n\t\t\tprintable = self.invisibleCharacters[match[0]] || (\"[0x\" + match[0].charCodeAt(0).toString(16) + \"]\");\n\t\t\tspan.appendChild(self.document.createTextNode(printable));\n\t\t\tdom.appendChild(span);\n\t\t\tcurrPos = match.index + match[0].length;\n\t\t\tmatch = re.exec(text);\n\t\t}\n\t\tif(currPos < text.length) {\n\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos)));\n\t\t}\n\t\tdomCode.appendChild(dom);\n\t});\n\tdomPre.appendChild(domCode);\n\treturn domPre;\n};\n\n/*\nCompute the internal state of the widget\n*/\nDiffTextWidget.prototype.execute = function() {\n\t// Make child widgets\n\tvar parseTreeNodes;\n\tif(this.parseTreeNode && this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: \"$:/language/Diffs/CountMessage\"}\n\t\t\t}\n\t\t}];\n\t}\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDiffTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.dest || changedAttributes.cleanup) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports[\"diff-text\"] = DiffTextWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/draggable.js": {
"title": "$:/core/modules/widgets/draggable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\tvar tag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [\"tc-draggable\"];\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Add event handlers\n\t$tw.utils.makeDraggable({\n\t\tdomNode: domNode,\n\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\tstartActions: self.startActions,\n\t\tendActions: self.endActions,\n\t\twidget: this\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\tthis.startActions = this.getAttribute(\"startactions\");\n\tthis.endActions = this.getAttribute(\"endactions\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/droppable.js": {
"title": "$:/core/modules/widgets/droppable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tvar domNode = this.document.createElement(tag),\n\t\tclasses = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tdomNode.className = classes.join(\" \");\n\t// Add event handlers\n\tif(this.droppableEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t\t]);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tvar modifierKey = event.ctrlKey && ! event.shiftKey ? \"ctrl\" : event.shiftKey && !event.ctrlKey ? \"shift\" : \n\t\t\t\tevent.ctrlKey && event.shiftKey ? \"ctrl-shift\" : \"normal\" ;\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title, modifier: modifierKey});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableClass = this.getAttribute(\"class\");\n\tthis.droppableEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"] || changedAttributes.tag || changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/dropzone.js": {
"title": "$:/core/modules/widgets/dropzone.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = this.dropzoneClass || \"tc-dropzone\";\n\t// Add event handlers\n\tif(this.dropzoneEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\t\t\n\t}\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent = function(event) {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDragEndEvent = function(event) {\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\tif(dataTransfer.files) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\t$tw.utils.importDataTransfer(dataTransfer,this.wiki.generateNewTitle(\"Untitled\"),readFileCallback);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1 && !event.target.isContentEditable) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields])});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneClass = this.getAttribute(\"class\");\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\tthis.dropzoneEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-binary.js": {
"title": "$:/core/modules/widgets/edit-binary.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Get our parameters\n\tvar editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tvar tiddler = this.wiki.getTiddler(editTitle);\n\tvar type = tiddler.fields.type;\n\tvar text = tiddler.fields.text;\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on draft tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!draft.title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!draft.title\"}\n\t\t},\n\t\tchildren: [{\n\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to internal data URI (no external)\n\tif(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets([element]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-bitmap.js": {
"title": "$:/core/modules/widgets/edit-bitmap.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370,\n\tDEFAULT_IMAGE_TYPE = \"image/png\";\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tif(tiddler && tiddler.fields.type && tiddler.fields.text) {\n\t\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\t\t\n\t} else {\n\t\tcurrImage.width = DEFAULT_IMAGE_WIDTH;\n\t\tcurrImage.height = DEFAULT_IMAGE_HEIGHT;\n\t\tcurrImage.onerror();\n\t}\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\n/*\n** Rotate the canvas left by 90 degrees\n*/\nEditBitmapWidget.prototype.rotateCanvasLeft = function() {\n\t// Get the current size of the image\n\tvar origWidth = this.currCanvas.width,\n\t\torigHeight = this.currCanvas.height;\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\"),\n\t\tnewWidth = origHeight,\n\t\tnewHeight = origWidth;\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.save();\n\tctx.translate(newWidth / 2,newHeight / 2);\n\tctx.rotate(-Math.PI / 2);\n\tctx.drawImage(this.currCanvas,-origWidth / 2,-origHeight / 2);\n\tctx.restore();\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle) || new $tw.Tiddler({title: this.editTitle,type: DEFAULT_IMAGE_TYPE});\n\t// data URIs look like \"data:<type>;base64,<text>\"\n\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\tposColon = dataURL.indexOf(\":\"),\n\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\tposComma = dataURL.indexOf(\",\"),\n\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\ttext = dataURL.substring(posComma+1);\n\tvar update = {type: type, text: text};\n\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-shortcut.js": {
"title": "$:/core/modules/widgets/edit-shortcut.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\t\t\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n\t// Focus the input Node if focus === \"yes\" or focus === \"true\"\n\tif(this.shortcutFocus === \"yes\" || this.shortcutFocus === \"true\") {\n\t\tthis.focus();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n\tthis.shortcutFocus = this.getAttribute(\"focus\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\t\t\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nfocus the input node\n*/\nEditShortcutWidget.prototype.focus = function() {\n\tif(this.inputNode.focus && this.inputNode.select) {\n\t\tthis.inputNode.focus();\n\t\tthis.inputNode.select();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"] || changedAttributes.focus) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-text.js": {
"title": "$:/core/modules/widgets/edit-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit.js": {
"title": "$:/core/modules/widgets/edit.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\tthis.editFocus = this.getAttribute(\"focus\",\"\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: this.editTitle},\n\t\t\tfield: {type: \"string\", value: this.editField},\n\t\t\tindex: {type: \"string\", value: this.editIndex},\n\t\t\t\"class\": {type: \"string\", value: this.editClass},\n\t\t\t\"placeholder\": {type: \"string\", value: this.editPlaceholder},\n\t\t\t\"tabindex\": {type: \"string\", value: this.editTabIndex},\n\t\t\t\"focus\": {type: \"string\", value: this.editFocus}\n\t\t},\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tabindex || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/element.js": {
"title": "$:/core/modules/widgets/element.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Neuter blacklisted elements\n\tvar tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"safe-\" + tag;\n\t}\n\t// Adjust headings by the current base level\n\tvar headingLevel = [\"h1\",\"h2\",\"h3\",\"h4\",\"h5\",\"h6\"].indexOf(tag);\n\tif(headingLevel !== -1) {\n\t\tvar baseLevel = parseInt(this.getVariable(\"tv-adjust-heading-level\",\"0\"),10) || 0;\n\t\theadingLevel = Math.min(Math.max(headingLevel + 1 + baseLevel,1),6);\n\t\ttag = \"h\" + headingLevel;\n\t}\n\t// Create the DOM node\n\tvar domNode = this.document.createElementNS(this.namespace,tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nElementWidget.prototype.execute = function() {\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.parseTreeNode.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\t// Update our attributes\n\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/encrypt.js": {
"title": "$:/core/modules/widgets/encrypt.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/entity.js": {
"title": "$:/core/modules/widgets/entity.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fieldmangler.js": {
"title": "$:/core/modules/widgets/fieldmangler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fields.js": {
"title": "$:/core/modules/widgets/fields.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.sort = this.getAttribute(\"sort\",\"yes\") === \"yes\";\n\tthis.sortReverse = this.getAttribute(\"sortReverse\",\"no\") === \"yes\";\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.include = this.getAttribute(\"include\",null);\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\n\t// Get the inclusion and exclusion list\n\tvar excludeArr = (this.exclude) ? this.exclude.split(\" \") : [\"text\"];\n\t// Include takes precedence\n\tvar includeArr = (this.include) ? this.include.split(\" \") : null;\n\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tif (includeArr) { // Include takes precedence\n\t\t\tfor(var i=0; i<includeArr.length; i++) {\n\t\t\t\tif(tiddler.fields[includeArr[i]]) {\n\t\t\t\t\tfields.push(includeArr[i]);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\tif(excludeArr.indexOf(fieldName) === -1) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (this.sort) fields.sort();\n\t\tif (this.sortReverse) fields.reverse();\n\t\tfor(var f=0, fmax=fields.length; f<fmax; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tvar row = this.template,\n\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\tif(reMatch) {\n\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t}\n\t\t\t}\n\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\ttext.push(row);\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif( changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude ||\n\t\tchangedAttributes.include || changedAttributes.sort || changedAttributes.sortReverse ||\n\t\tchangedTiddlers[this.tiddlerTitle] || changedAttributes.stripTitlePrefix) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/image.js": {
"title": "$:/core/modules/widgets/image.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/importvariables.js": {
"title": "$:/core/modules/widgets/importvariables.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar widgetPointer = this;\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = widgetPointer.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tvar node = {\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params,\n\t\t\t\t\tisMacroDefinition: parseTreeNode.isMacroDefinition\n\t\t\t\t};\n\t\t\t\tif (parseTreeNode.isMacroDefinition) {\n\t\t\t\t\t// Macro definitions can be folded into\n\t\t\t\t\t// current widget instead of adding\n\t\t\t\t\t// another link to the chain.\n\t\t\t\t\tvar widget = widgetPointer.makeChildWidget(node);\n\t\t\t\t\twidget.computeAttributes();\n\t\t\t\t\twidget.execute();\n\t\t\t\t\t// We SHALLOW copy over all variables\n\t\t\t\t\t// in widget. We can't use\n\t\t\t\t\t// $tw.utils.assign, because that copies\n\t\t\t\t\t// up the prototype chain, which we\n\t\t\t\t\t// don't want.\n\t\t\t\t\t$tw.utils.each(Object.keys(widget.variables), function(key) {\n\t\t\t\t\t\twidgetPointer.variables[key] = widget.variables[key];\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\twidgetPointer.makeChildWidgets([node]);\n\t\t\t\t\twidgetPointer = widgetPointer.children[0];\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\n\tif (widgetPointer != this) {\n\t\twidgetPointer.parseTreeNode.children = this.parseTreeNode.children;\n\t} else {\n\t\twidgetPointer.makeChildWidgets();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/keyboard.js": {
"title": "$:/core/modules/widgets/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.keyboardManager.checkKeyDescriptors(event,self.keyInfoArray)) {\n\t\t\tself.invokeActions(self,event);\n\t\t\tif(self.actions) {\n\t\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t\t}\n\t\t\tself.dispatchMessage(event);\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\",\"\");\n\tthis.message = this.getAttribute(\"message\",\"\");\n\tthis.param = this.getAttribute(\"param\",\"\");\n\tthis.key = this.getAttribute(\"key\",\"\");\n\tthis.tag = this.getAttribute(\"tag\",\"\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tif(this.key.substr(0,2) === \"((\" && this.key.substr(-2,2) === \"))\") {\n\t\tthis.shortcutTiddlers = [];\n\t\tvar name = this.key.substring(2,this.key.length -2);\n\t\t$tw.utils.each($tw.keyboardManager.lookupNames,function(platformDescriptor) {\n\t\t\tself.shortcutTiddlers.push(\"$:/config/\" + platformDescriptor + \"/\" + name);\n\t\t});\n\t}\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\t// Update the keyInfoArray if one of its shortcut-config-tiddlers has changed\n\tif(this.shortcutTiddlers && $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers)) {\n\t\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/link.js": {
"title": "$:/core/modules/widgets/link.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.overrideClasses === undefined) {\n\t\tclasses.push(\"tc-tiddlylink\");\n\t\tif(this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t\t}\n\t\tif(this.isMissing && !this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t\t} else {\n\t\t\tif(!this.isMissing) {\n\t\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t\t}\n\t\t}\n\t\tif(this.linkClasses) {\n\t\t\tclasses.push(this.linkClasses);\t\t\t\n\t\t}\n\t} else if(this.overrideClasses !== \"\") {\n\t\tclasses.push(this.overrideClasses)\n\t}\n\tif(classes.length > 0) {\n\t\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t}\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",encodeURIComponent(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tdomNode.setAttribute(\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.overrideClasses = this.getAttribute(\"overrideClass\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = (this.getVariable(\"tv-show-missing-links\") || \"yes\") === \"no\";\n\t// Make the child widgets\n\tvar templateTree;\n\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\ttemplateTree = this.parseTreeNode.children;\n\t} else {\n\t\t// Default template is a link to the title\n\t\ttemplateTree = [{type: \"text\", text: this.to}];\n\t}\n\tthis.makeChildWidgets(templateTree);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/linkcatcher.js": {
"title": "$:/core/modules/widgets/linkcatcher.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t// This is a navigate event generated by the actions of this linkcatcher, so we don't trap it again, but just pass it to the parent\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: \"tm-navigate\",\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/list.js": {
"title": "$:/core/modules/widgets/list.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar emptyMessage = this.getAttribute(\"emptyMessage\",\"\"),\n\t\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/macrocall.js": {
"title": "$:/core/modules/widgets/macrocall.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar macroName = this.parseTreeNode.name || this.getAttribute(\"$name\"),\n\t\tvariableInfo = this.getVariableInfo(macroName,{params: params}),\n\t\ttext = variableInfo.text,\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\tvar parser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\tparseTreeNodes = parser ? parser.tree : [];\n\t\t// Wrap the parse tree in a vars widget assigning the parameters to variables named \"__paramname__\"\n\t\tvar attributes = {};\n\t\t$tw.utils.each(variableInfo.params,function(param) {\n\t\t\tvar name = \"__\" + param.name + \"__\";\n\t\t\tattributes[name] = {\n\t\t\t\tname: name,\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: param.value\n\t\t\t};\n\t\t});\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"vars\",\n\t\t\tattributes: attributes,\n\t\t\tchildren: parseTreeNodes\n\t\t}];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/navigator.js": {
"title": "$:/core/modules/widgets/navigator.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tif(this.storyTitle) {\n\t\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t\t{title: this.storyTitle},\n\t\t\tstoryTiddler,\n\t\t\t{list: storyList}\n\t\t));\t\t\n\t}\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tif(storyList) {\n\t\tvar p = storyList.indexOf(title);\n\t\twhile(p !== -1) {\n\t\t\tstoryList.splice(p,1);\n\t\t\tp = storyList.indexOf(title);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tif(storyList) {\n\t\tvar pos = storyList.indexOf(oldTitle);\n\t\tif(pos !== -1) {\n\t\t\tstoryList[pos] = newTitle;\n\t\t\tdo {\n\t\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\t\tif(pos !== -1) {\n\t\t\t\t\tstoryList.splice(pos,1);\n\t\t\t\t}\n\t\t\t} while(pos !== -1);\n\t\t} else {\n\t\t\tstoryList.splice(0,0,newTitle);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tif(this.storyTitle) {\n\t\tthis.wiki.addToStory(title,fromTitle,this.storyTitle,{\n\t\t\topenLinkFromInsideRiver: this.getAttribute(\"openLinkFromInsideRiver\",\"top\"),\n\t\t\topenLinkFromOutsideRiver: this.getAttribute(\"openLinkFromOutsideRiver\",\"top\")\n\t\t});\n\t}\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.wiki.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event);\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler(\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\treturn this.wiki.generateDraftTitle(title);\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\nconsole.log(\"Relinking '\" + draftOf + \"' to '\" + draftTitle + \"'\");\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-cancelling-tiddler\", event);\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-new-tiddler\", event);\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList && storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tif(slot === -1) {\n\t\t\tslot = this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\" ? storyList.length - 1 : slot;\n\t\t}\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList && storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTiddler = this.wiki.getTiddler(IMPORT_TITLE),\n\t\timportData = this.wiki.getTiddlerData(IMPORT_TITLE,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: IMPORT_TITLE,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tif(this.getVariable(\"tv-auto-open-on-import\") !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList && storyList.indexOf(IMPORT_TITLE) === -1) {\n\t\t\tstoryList.unshift(IMPORT_TITLE);\n\t\t}\n\t\t// And to history\n\t\thistory.push(IMPORT_TITLE);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddlerFields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix || \"$:/state/folded/\";\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\tthis.wiki.renameTiddler(from,to);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/password.js": {
"title": "$:/core/modules/widgets/password.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/qualify.js": {
"title": "$:/core/modules/widgets/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/qualify.js\ntype: application/javascript\nmodule-type: widget\n\nQualify text to a variable \n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar QualifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nQualifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nQualifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nQualifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.qualifyName = this.getAttribute(\"name\");\n\tthis.qualifyTitle = this.getAttribute(\"title\");\n\t// Set context variable\n\tif(this.qualifyName) {\n\t\tthis.setVariable(this.qualifyName,this.qualifyTitle + \"-\" + this.getStateQualifier());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nQualifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.title) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.qualify = QualifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/radio.js": {
"title": "$:/core/modules/widgets/radio.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tvar isChecked = this.getValue() === this.radioValue;\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\n \t\t\"tc-radio \" + this.radioClass + (isChecked ? \" tc-radio-selected\" : \"\")\n \t);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(isChecked) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif (this.radioIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex);\n\t} else {\n\t\tvalue = tiddler && tiddler.getFieldString(this.radioField);\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.radioTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue() === this.radioValue;\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/range.js": {
"title": "$:/core/modules/widgets/range.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/range.js\ntype: application/javascript\nmodule-type: widget\n\nRange widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RangeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRangeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRangeWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"range\");\n\tthis.inputDomNode.setAttribute(\"class\",this.elementClass);\n\tif(this.minValue){\n\t\tthis.inputDomNode.setAttribute(\"min\", this.minValue);\n\t}\n\tif(this.maxValue){\n\t\tthis.inputDomNode.setAttribute(\"max\", this.maxValue);\n\t}\n\tif(this.increment){\n\t\tthis.inputDomNode.setAttribute(\"step\", this.increment);\n\t}\n\tthis.inputDomNode.value = this.getValue();\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\t\t\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.inputDomNode,nextSibling);\n\tthis.domNodes.push(this.inputDomNode);\n};\n\nRangeWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle),\n\t\tfieldName = this.tiddlerField || \"text\",\n\t\tvalue = this.defaultValue;\n\tif(tiddler) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.tiddlerIndex,this.defaultValue || \"\");\n\t\t} else {\n\t\t\tif($tw.utils.hop(tiddler.fields,fieldName)) {\n\t\t\t\tvalue = tiddler.fields[fieldName] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.defaultValue || \"\";\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nRangeWidget.prototype.handleInputEvent = function(event) {\n\tif(this.getValue() !== this.inputDomNode.value) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,\"\",this.tiddlerIndex,this.inputDomNode.value);\n\t\t} else {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,this.tiddlerField,null,this.inputDomNode.value);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRangeWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.tiddlerField = this.getAttribute(\"field\");\n\tthis.tiddlerIndex = this.getAttribute(\"index\");\n\tthis.minValue = this.getAttribute(\"min\");\n\tthis.maxValue = this.getAttribute(\"max\");\n\tthis.increment = this.getAttribute(\"increment\");\n\tthis.defaultValue = this.getAttribute(\"default\");\n\tthis.elementClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRangeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes['min'] || changedAttributes['max'] || changedAttributes['increment'] || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.tiddlerTitle]) {\n\t\t\tvar value = this.getValue();\n\t\t\tif(this.inputDomNode.value !== value) {\n\t\t\t\tthis.inputDomNode.value = value;\t\t\t\t\n\t\t\t}\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.range = RangeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/raw.js": {
"title": "$:/core/modules/widgets/raw.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/reveal.js": {
"title": "$:/core/modules/widgets/reveal.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tvar classes = this[\"class\"].split(\" \") || [];\n\tclasses.push(\"tc-reveal\");\n\tdomNode.className = classes.join(\" \");\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tvar left,top;\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"right\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tleft = this.popup.left + this.popup.width - domNode.offsetWidth;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tdefault: // Below\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t}\n\tif(!this.positionAllowNegative) {\n\t\tleft = Math.max(0,left);\n\t\ttop = Math.max(0,top);\n\t}\n\tdomNode.style.left = left + \"px\";\n\tdomNode.style.top = top + \"px\";\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis.positionAllowNegative = this.getAttribute(\"positionAllowNegative\") === \"yes\";\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTiddlerTitle = this.state;\n\tthis.stateTitle = this.getAttribute(\"stateTitle\");\n\tthis.stateField = this.getAttribute(\"stateField\");\n\tthis.stateIndex = this.getAttribute(\"stateIndex\");\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state,\n\t defaultState = this[\"default\"];\n\tif(this.stateTitle) {\n\t\tvar stateTitleTiddler = this.wiki.getTiddler(this.stateTitle);\n\t\tif(this.stateField) {\n\t\t\tstate = stateTitleTiddler ? stateTitleTiddler.getFieldString(this.stateField) || defaultState : defaultState;\n\t\t} else if(this.stateIndex) {\n\t\t\tstate = stateTitleTiddler ? this.wiki.extractTiddlerDataItem(this.stateTitle,this.stateIndex) || defaultState : defaultState;\n\t\t} else if(stateTitleTiddler) {\n\t\t\tstate = this.wiki.getTiddlerText(this.stateTitle) || defaultState;\n\t\t} else {\n\t\t\tstate = defaultState;\n\t\t}\n\t} else {\n\t\tstate = this.stateTiddlerTitle ? this.wiki.getTextReference(this.state,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\t}\n\tif(state === null) {\n\t\tstate = this[\"default\"];\n\t}\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.isOpen = this.text === state;\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.isOpen = this.text !== state;\n\t\t\tbreak;\n\t\tcase \"lt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t\tcase \"gt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"lteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"gteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.compareStateText = function(state) {\n\treturn state.localeCompare(this.text,undefined,{numeric: true,sensitivity: \"case\"});\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes.positionAllowNegative || changedAttributes[\"default\"] || changedAttributes.animate || changedAttributes.stateTitle || changedAttributes.stateField || changedAttributes.stateIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar currentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\tvar self = this;\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\t//make sure that the state hasn't changed during the close animation\n\t\t\tself.readState()\n\t\t\tif(!self.isOpen) {\n\t\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t\t\t}\n\t\t}});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/scrollable.js": {
"title": "$:/core/modules/widgets/scrollable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tthis.scrollIntoView(event.target);\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/select.js": {
"title": "$:/core/modules/widgets/select.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex,value);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tselect.children[i].selected = values.indexOf(select.children[i].value) !== -1\n\t\t}\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\tthis.selectTooltip = this.getAttribute(\"tooltip\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tif(this.selectTooltip) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"title\",this.selectTooltip);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex || changedAttributes.selectTooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/set.js": {
"title": "$:/core/modules/widgets/set.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,!!this.parseTreeNode.isMacroDefinition);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler;\n\t\tif(this.setSubTiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.setTiddler,this.setSubTiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.setTiddler);\t\t\t\n\t\t}\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(this.setValue == null) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\t\t\t\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/text.js": {
"title": "$:/core/modules/widgets/text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/tiddler.js": {
"title": "$:/core/modules/widgets/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/transclude.js": {
"title": "$:/core/modules/widgets/transclude.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tthis.setVariable(\"transclusion\",recursionMarker);\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/vars.js": {
"title": "$:/core/modules/widgets/vars.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/view.js": {
"title": "$:/core/modules/widgets/view.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/widget.js": {
"title": "$:/core/modules/widgets/widget.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning that the widget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\t// Get widget classes\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t\t// Process any subclasses\n\t\t$tw.modules.forEachModuleOfType(\"widget-subclass\",function(title,module) {\n\t\t\tif(module.baseClass) {\n\t\t\t\tvar baseClass = Widget.prototype.widgetClasses[module.baseClass];\n\t\t\t\tif(!baseClass) {\n\t\t\t\t\tthrow \"Module '\" + title + \"' is attemping to extend a non-existent base class '\" + module.baseClass + \"'\";\n\t\t\t\t}\n\t\t\t\tvar subClass = module.constructor;\n\t\t\t\tsubClass.prototype = new baseClass();\n\t\t\t\t$tw.utils.extend(subClass.prototype,module.prototype);\n\t\t\t\tWidget.prototype.widgetClasses[module.name || module.baseClass] = subClass;\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\nisMacroDefinition: true if the variable is set via a \\define macro pragma (and hence should have variable substitution performed)\n*/\nWidget.prototype.setVariable = function(name,value,params,isMacroDefinition) {\n\tthis.variables[name] = {value: value, params: params, isMacroDefinition: !!isMacroDefinition};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n\nReturns an object with the following fields:\n\nparams: array of {name:,value:} of parameters passed to wikitext variables\ntext: text of variable, with parameters properly substituted\n*/\nWidget.prototype.getVariableInfo = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\tvalue = variable.value,\n\t\t\tparams = this.resolveVariableParameters(variable.params,actualParams);\n\t\t// Substitute any parameters specified in the definition\n\t\t$tw.utils.each(params,function(param) {\n\t\t\tvalue = $tw.utils.replaceString(value,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(param.name) + \"\\\\$\",\"mg\"),param.value);\n\t\t});\n\t\t// Only substitute variable references if this variable was defined with the \\define pragma\n\t\tif(variable.isMacroDefinition) {\n\t\t\tvalue = this.substituteVariableReferences(value);\t\t\t\n\t\t}\n\t\treturn {\n\t\t\ttext: value,\n\t\t\tparams: params\n\t\t};\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn {\n\t\ttext: this.evaluateMacroModule(name,actualParams,options.defaultValue)\n\t};\n};\n\n/*\nSimplified version of getVariableInfo() that just returns the text\n*/\nWidget.prototype.getVariable = function(name,options) {\n\treturn this.getVariableInfo(name,options).text;\n};\n\nWidget.prototype.resolveVariableParameters = function(formalParams,actualParams) {\n\tformalParams = formalParams || [];\n\tactualParams = actualParams || [];\n\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\tparamInfo, paramValue,\n\t\tresults = [];\n\t// Step through each of the parameters in the macro definition\n\tfor(var p=0; p<formalParams.length; p++) {\n\t\t// Check if we've got a macro call parameter with the same name\n\t\tparamInfo = formalParams[p];\n\t\tparamValue = undefined;\n\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t}\n\t\t}\n\t\t// If not, use the next available anonymous macro call parameter\n\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\tnextAnonParameter++;\n\t\t}\n\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t}\n\t\t// If we've still not got a value, use the default, if any\n\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t// Store the parameter name and value\n\t\tresults.push({name: paramInfo.name, value: paramValue});\n\t}\n\treturn results;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"filtered\") {\n\t\t\tvalue = self.wiki.filterTiddlers(attribute.filter,self)[0] || \"\";\n\t\t} else if(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\tvar children = this.children;\n\tfor(var i = 0; i < children.length; i++) {\n\t\tchildren[i].render(parent,nextSibling);\n\t};\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar children = this.children,\n\t\trefreshed = false;\n\tfor (var i = 0; i < children.length; i++) {\n\t\trefreshed = children[i].refresh(changedTiddlers) || refreshed;\n\t}\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction) {\n\t\t\tchild.refreshSelf();\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/wikify.js": {
"title": "$:/core/modules/widgets/wikify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\t\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/wiki-bulkops.js": {
"title": "$:/core/modules/wiki-bulkops.js",
"text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.slice(0) : undefined,\n\t\t\t\t\tlist = tiddler.fields.list ? tiddler.fields.list.slice(0) : undefined,\n\t\t\t\t\tisModified = false;\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming tag '\" + tags[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming list item '\" + list[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/wiki.js": {
"title": "$:/core/modules/wiki.js",
"text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nAdd available indexers to this wiki\n*/\nexports.addIndexersToWiki = function() {\n\tvar self = this;\n\t$tw.utils.each($tw.modules.applyMethods(\"indexer\"),function(Indexer,name) {\n\t\tself.addIndexer(new Indexer(self),name);\n\t});\n};\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type] || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.isBinaryTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.encoding === \"base64\";\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric,isAlphaNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t\t\t\t\t\t\t(isDescending ? y - x : x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if(isAlphaNumeric) {\n\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked within the given parse tree\n */\nexports.extractLinks = function(parseTreeRoot) {\n\t// Count up the links\n\tvar links = [],\n\t\tcheckParseTree = function(parseTree) {\n\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcheckParseTree(parseTreeRoot);\n\treturn links;\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\tif(parser) {\n\t\t\treturn self.extractLinks(parser.tree);\n\t\t}\n\t\treturn [];\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinksIndexer = this.getIndexer(\"BacklinksIndexer\"),\n\t\tbacklinks = backlinksIndexer && backlinksIndexer.lookup(targetTitle);\n\n\tif(!backlinks) {\n\t\tbacklinks = [];\n\t\tthis.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self.getTiddlerLinks(title);\n\t\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\t\tbacklinks.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\t// Try to use the indexer\n\tvar self = this,\n\t\ttagIndexer = this.getIndexer(\"TagIndexer\"),\n\t\tresults = tagIndexer && tagIndexer.subIndexers[3].lookup(tag);\n\tif(!results) {\n\t\t// If not available, perform a manual scan\n\t\tresults = this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\t\tvar tagmap = self.getTagMap();\n\t\t\treturn self.sortByList(tagmap[tag],tag);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar self = this,\n\t\treplacedTitles = Object.create(null);\n\t// Given a title, this function will place it in the correct location\n\t// within titles.\n\tfunction moveItemInList(title) {\n\t\tif(!$tw.utils.hop(replacedTitles, title)) {\n\t\t\treplacedTitles[title] = true;\n\t\t\tvar newPos = -1,\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(afterTitle === \"\") {\n\t\t\t\t\tnewPos = titles.length;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\t// if this title is placed relative\n\t\t\t\t\t// to another title, make sure that\n\t\t\t\t\t// title is placed before we place\n\t\t\t\t\t// this one.\n\t\t\t\t\tmoveItemInList(beforeTitle);\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\t// Same deal\n\t\t\t\t\tmoveItemInList(afterTitle);\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If a new position is specified, let's move it\n\t\t\t\tif (newPos !== -1) {\n\t\t\t\t\t// get its current Pos, and make sure\n\t\t\t\t\t// sure that it's _actually_ in the list\n\t\t\t\t\t// and that it would _actually_ move\n\t\t\t\t\t// (#4275) We don't bother calling\n\t\t\t\t\t// indexOf unless we have a new\n\t\t\t\t\t// position to work with\n\t\t\t\t\tvar currPos = titles.indexOf(title);\n\t\t\t\t\tif(currPos >= 0 && newPos !== currPos) {\n\t\t\t\t\t\t// move it!\n\t\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t\t}\n\t\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tmoveItemInList(title);\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\nexports.getTiddlersAsJson = function(filter,spaces) {\n\tvar tiddlers = this.filterTiddlers(filter),\n\t\tspaces = (spaces === undefined) ? $tw.config.preferences.jsonSpaces : spaces,\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,spaces);\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n\t// Use the generic binary parser for any binary types not registered so far\n\tif($tw.Wiki.parsers[\"application/octet-stream\"]) {\n\t\tObject.keys($tw.config.contentTypeInfo).forEach(function(type) {\n\t\t\tif(!$tw.utils.hop($tw.Wiki.parsers,type) && $tw.config.contentTypeInfo[type].encoding === \"base64\") {\n\t\t\t\t$tw.Wiki.parsers[type] = $tw.Wiki.parsers[\"application/octet-stream\"];\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type,tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title}},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn $tw.wiki.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tfield: If specified, restricts the search to the specified field, or an array of field names\n\tanchored: If true, forces all but regexp searches to be anchored to the start of text\n\texcludeField: If true, the field options are inverted to specify the fields that are not to be searched\n\tThe search mode is determined by the first of these boolean flags to be true\n\t\tliteral: searches for literal string\n\t\twhitespace: same as literal except runs of whitespace are treated as a single space\n\t\tregexp: treats the search term as a regular expression\n\t\twords: (default) treats search string as a list of tokens, and matches if all tokens are found, regardless of adjacency or ordering\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\",\n\t\tanchor = options.anchored ? \"^\" : \"\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else if(options.whitespace) {\n\t\tterms = [];\n\t\t$tw.utils.each(text.split(/\\s+/g),function(term) {\n\t\t\tif(term) {\n\t\t\t\tterms.push($tw.utils.escapeRegExp(term));\n\t\t\t}\n\t\t});\n\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + terms.join(\"\\\\s+\") + \")\",flags)];\n\t} else if(options.regexp) {\n\t\ttry {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + text + \")\",flags)];\t\t\t\n\t\t} catch(e) {\n\t\t\tsearchTermsRegExps = null;\n\t\t\tconsole.log(\"Regexp error parsing /(\" + text + \")/\" + flags + \": \",e);\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Accumulate the array of fields to be searched or excluded from the search\n\tvar fields = [];\n\tif(options.field) {\n\t\tif($tw.utils.isArray(options.field)) {\n\t\t\t$tw.utils.each(options.field,function(fieldName) {\n\t\t\t\tif(fieldName) {\n\t\t\t\t\tfields.push(fieldName);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tfields.push(options.field);\n\t\t}\n\t}\n\t// Use default fields if none specified and we're not excluding fields (excluding fields with an empty field array is the same as searching all fields)\n\tif(fields.length === 0 && !options.excludeField) {\n\t\tfields.push(\"title\");\n\t\tfields.push(\"tags\");\n\t\tfields.push(\"text\");\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar notYetFound = searchTermsRegExps.slice();\n\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tsearchFields;\n\t\t// Get the list of fields we're searching\n\t\tif(options.excludeField) {\n\t\t\tsearchFields = Object.keys(tiddler.fields);\n\t\t\t$tw.utils.each(fields,function(fieldName) {\n\t\t\t\tvar p = searchFields.indexOf(fieldName);\n\t\t\t\tif(p !== -1) {\n\t\t\t\t\tsearchFields.splice(p,1);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsearchFields = fields;\n\t\t}\n\t\tfor(var fieldIndex=0; notYetFound.length>0 && fieldIndex<searchFields.length; fieldIndex++) {\n\t\t\t// Don't search the text field if the content type is binary\n\t\t\tvar fieldName = searchFields[fieldIndex];\n\t\t\tif(fieldName === \"text\" && contentTypeInfo.encoding !== \"utf8\") {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tvar str = tiddler.fields[fieldName],\n\t\t\t\tt;\n\t\t\tif(str) {\n\t\t\t\tif($tw.utils.isArray(str)) {\n\t\t\t\t\t// If the field value is an array, test each regexp against each field array entry and fail if each regexp doesn't match at least one field array entry\n\t\t\t\t\tfor(var s=0; s<str.length; s++) {\n\t\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\t\tif(notYetFound[t].test(str[s])) {\n\t\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the field isn't an array, force it to a string and test each regexp against it and fail if any do not match\n\t\t\t\t\tstr = tiddler.getFieldString(fieldName);\n\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\tif(notYetFound[t].test(str)) {\n\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn notYetFound.length == 0;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(!tiddler.hasField(\"_is_skinny\")) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text || \"\";\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],$tw.utils.extend({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\", type: type};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\t\t\n};\n\n/*\nAdd a new tiddler to the story river\ntitle: a title string or an array of title strings\nfromTitle: the title of the tiddler from which the navigation originated\nstoryTitle: title of story tiddler (defaults to $:/StoryList)\noptions: see story.js\n*/\nexports.addToStory = function(title,fromTitle,storyTitle,options) {\n\tvar story = new $tw.Story({wiki: this, storyTitle: storyTitle});\n\tstory.addToStory(title,fromTitle,options);\t\t\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nexports.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle,\n\t\tusername = this.getTiddlerText(\"$:/status/UserName\"),\n\t\tattribution = username ? \" by \" + username : \"\";\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\" + attribution;\n\t\tc++;\n\t} while(this.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n// Determine whether a plugin by title is dynamically loadable\nexports.doesPluginRequireReload = function(title) {\n\treturn this.doesPluginInfoRequireReload(this.getPluginInfo(title) || this.getTiddlerDataCached(title));\n};\n\n// Determine whether a plugin info structure is dynamically loadable\nexports.doesPluginInfoRequireReload = function(pluginInfo) {\n\tif(pluginInfo) {\n\t\tvar foundModule = false;\n\t\t$tw.utils.each(pluginInfo.tiddlers,function(tiddler) {\n\t\t\tif(tiddler.type === \"application/javascript\" && $tw.utils.hop(tiddler,\"module-type\")) {\n\t\t\t\tfoundModule = true;\n\t\t\t}\n\t\t});\n\t\treturn foundModule;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n})();\n\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/palettes/Blanca": {
"title": "$:/palettes/Blanca",
"name": "Blanca",
"description": "A clean white palette to let you focus",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Blue": {
"title": "$:/palettes/Blue",
"name": "Blue",
"description": "A blue theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Muted": {
"title": "$:/palettes/Muted",
"name": "Muted",
"description": "Bright tiddlers on a muted background",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastLight": {
"title": "$:/palettes/ContrastLight",
"name": "Contrast (Light)",
"description": "High contrast and unambiguous (light version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastDark": {
"title": "$:/palettes/ContrastDark",
"name": "Contrast (Dark)",
"description": "High contrast and unambiguous (dark version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/DarkPhotos": {
"title": "$:/palettes/DarkPhotos",
"created": "20150402111612188",
"description": "Good with dark photo backgrounds",
"modified": "20150402112344080",
"name": "DarkPhotos",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/GruvboxDark": {
"title": "$:/palettes/GruvboxDark",
"name": "Gruvbox Dark",
"description": "Retro groove color scheme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "https://github.com/morhetz/gruvbox",
"text": "alert-background: #cc241d\nalert-border: #cc241d\nalert-highlight: #d79921\nalert-muted-foreground: #504945\nbackground: #3c3836\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #504945\nbutton-foreground: #fbf1c7\nbutton-border: transparent\ncode-background: #504945\ncode-border: #504945\ncode-foreground: #fb4934\ndiff-delete-background: #fb4934\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #b8bb26\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #fb4934\ndownload-background: #b8bb26\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #665c54\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ebdbb2\ndropdown-tab-background: #665c54\ndropzone-background: #98971a\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #d3869b\nexternal-link-foreground: #8ec07c\nforeground: #fbf1c7\nmenubar-background: #504945\nmenubar-foreground: <<colour foreground>>\nmessage-background: #83a598\nmessage-border: #83a598\nmessage-foreground: #3c3836\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #504945\nmodal-footer-background: #3c3836\nmodal-footer-border: #3c3836\nmodal-header-border: #3c3836\nmuted-foreground: #d5c4a1\nnotification-background: <<colour primary>>\nnotification-border: <<colour primary>>\npage-background: #282828\npre-background: #504945\npre-border: #504945\nprimary: #d79921\nselect-tag-background: #665c54\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #7c6f64\nsidebar-controls-foreground: #504945\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #fbf1c7\nsidebar-muted-foreground-hover: #7c6f64\nsidebar-muted-foreground: #504945\nsidebar-tab-background-selected: #bdae93\nsidebar-tab-background: #3c3836\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #bdae93\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #282828\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #458588\nsidebar-tiddler-link-foreground: #98971a\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ebdbb2\ntab-background: #665c54\ntab-border-selected: #665c54\ntab-border: #665c54\ntab-divider: #bdae93\ntab-foreground-selected: #282828\ntab-foreground: #ebdbb2\ntable-border: #7c6f64\ntable-footer-background: #665c54\ntable-header-background: #504945\ntag-background: #d3869b\ntag-foreground: #282828\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #7c6f64\ntiddler-controls-foreground-selected: #7c6f64\ntiddler-controls-foreground: #665c54\ntiddler-editor-background: #282828\ntiddler-editor-border-image: #282828\ntiddler-editor-border: #282828\ntiddler-editor-fields-even: #504945\ntiddler-editor-fields-odd: #7c6f64\ntiddler-info-background: #32302f\ntiddler-info-border: #ebdbb2\ntiddler-info-tab-background: #ebdbb2\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #7c6f64\ntiddler-title-foreground: #a89984\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #504945\nvery-muted-foreground: #bdae93\nwikilist-background: <<colour page-background>>\nwikilist-button-background: <<colour button-background>>\nwikilist-button-foreground: <<colour button-foreground>>\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: <<colour muted-foreground>>\nwikilist-button-open-hover: <<colour primary>>\nwikilist-button-open: <<colour dropzone-background>>\nwikilist-button-remove: <<colour dirty-indicator>>\nwikilist-button-remove-hover: <<colour alert-background>>\nwikilist-droplink-dragover: <<colour dropzone-background>>\nwikilist-button-reveal: <<colour sidebar-tiddler-link-foreground-hover>>\nwikilist-button-reveal-hover: <<colour message-background>>"
},
"$:/palettes/Nord": {
"title": "$:/palettes/Nord",
"name": "Nord",
"description": "An arctic, north-bluish color palette.",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "MIT, arcticicestudio, https://github.com/arcticicestudio/nord/blob/develop/LICENSE.md",
"text": "alert-background: #D08770\nalert-border: #D08770\nalert-highlight: #B48EAD\nalert-muted-foreground: #4C566A\nbackground: #3b4252\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #4C566A\nbutton-foreground: #D8DEE9\nbutton-border: transparent\ncode-background: #2E3440\ncode-border: #2E3440\ncode-foreground: #BF616A\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #A3BE8C\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #BF616A\ndownload-background: #A3BE8C\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ECEFF4\ndropdown-tab-background: #4C566A\ndropzone-background: #A3BE8C\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #5E81AC\nexternal-link-foreground: #8FBCBB\nforeground: #d8dee9\nmenubar-background: #2E3440\nmenubar-foreground: #d8dee9\nmessage-background: #2E3440\nmessage-border: #2E3440\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #3b4252\nmodal-footer-background: #3b4252\nmodal-footer-border: #3b4252\nmodal-header-border: #3b4252\nmuted-foreground: #4C566A\nnotification-background: <<colour primary>>\nnotification-border: #EBCB8B\npage-background: #2e3440\npre-background: #2E3440\npre-border: #2E3440\nprimary: #5E81AC\nselect-tag-background: #3b4252\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #D8DEE9\nsidebar-controls-foreground: #4C566A\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #D8DEE9\nsidebar-muted-foreground-hover: #4C566A\nsidebar-muted-foreground: #4C566A\nsidebar-tab-background-selected: #ECEFF4\nsidebar-tab-background: #4C566A\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #4C566A\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #4C566A\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #A3BE8C\nsidebar-tiddler-link-foreground: #81A1C1\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ECEFF4\ntab-background: #4C566A\ntab-border-selected: #4C566A\ntab-border: #4C566A\ntab-divider: #4C566A\ntab-foreground-selected: #4C566A\ntab-foreground: #D8DEE9\ntable-border: #4C566A\ntable-footer-background: #2e3440\ntable-header-background: #2e3440\ntag-background: #A3BE8C\ntag-foreground: #4C566A\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: \ntiddler-controls-foreground-selected: #EBCB8B\ntiddler-controls-foreground: #4C566A\ntiddler-editor-background: #2e3440\ntiddler-editor-border-image: #2e3440\ntiddler-editor-border: #2e3440\ntiddler-editor-fields-even: #2e3440\ntiddler-editor-fields-odd: #2e3440\ntiddler-info-background: #2e3440\ntiddler-info-border: #2e3440\ntiddler-info-tab-background: #2e3440\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #4C566A\ntiddler-title-foreground: #81A1C1\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #2d3038\nvery-muted-foreground: #2d3038\n"
},
"$:/palettes/Rocker": {
"title": "$:/palettes/Rocker",
"name": "Rocker",
"description": "A dark theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarFlare": {
"title": "$:/palettes/SolarFlare",
"name": "Solar Flare",
"description": "Warm, relaxing earth colours",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n download-foreground: <<colour background>>\n dragger-foreground: <<colour background>>\n dropdown-background: <<colour background>>\n modal-background: <<colour background>>\n sidebar-foreground-shadow: <<colour background>>\n tiddler-background: <<colour background>>\n tiddler-border: <<colour background>>\n tiddler-link-background: <<colour background>>\n tab-background-selected: <<colour background>>\n dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n dragger-background: <<colour foreground>>\n tab-foreground: <<colour foreground>>\n tab-foreground-selected: <<colour tab-foreground>>\n sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n sidebar-tab-foreground: <<colour tab-foreground>>\n sidebar-button-foreground: <<colour foreground>>\n sidebar-controls-foreground: <<colour foreground>>\n sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n alert-muted-foreground: <<colour base01>>\n: base00\n code-foreground: <<colour base00>>\n message-foreground: <<colour base00>>\n tag-foreground: <<colour base00>>\n: base0\n sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n muted-foreground: <<colour base1>>\n blockquote-bar: <<colour muted-foreground>>\n dropdown-border: <<colour muted-foreground>>\n sidebar-muted-foreground: <<colour muted-foreground>>\n tiddler-title-foreground: <<colour muted-foreground>>\n site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n modal-footer-background: <<colour base2>>\n page-background: <<colour base2>>\n modal-backdrop: <<colour page-background>>\n notification-background: <<colour page-background>>\n code-background: <<colour page-background>>\n code-border: <<colour code-background>>\n pre-background: <<colour page-background>>\n pre-border: <<colour pre-background>>\n sidebar-tab-background-selected: <<colour page-background>>\n table-header-background: <<colour base2>>\n tag-background: <<colour base2>>\n tiddler-editor-background: <<colour base2>>\n tiddler-info-background: <<colour base2>>\n tiddler-info-tab-background: <<colour base2>>\n tab-background: <<colour base2>>\n dropdown-tab-background: <<colour tab-background>>\n: base3\n alert-background: <<colour base3>>\n message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n alert-highlight: <<colour magenta>>\n: violet\n external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n primary: <<colour blue-muted>>\n download-background: <<colour primary>>\n tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nselect-tag-background:\nselect-tag-foreground:\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n modal-footer-border: <<colour tab-border>>\n modal-header-border: <<colour tab-border>>\n notification-border: <<colour tab-border>>\n sidebar-tab-border: <<colour tab-border>>\n tab-border-selected: <<colour tab-border>>\n sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarizedLight": {
"title": "$:/palettes/SolarizedLight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Precision colors for machines and people",
"license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
"name": "SolarizedLight",
"text": "alert-background: #eee8d5\nalert-border: #073642\nalert-highlight: #cb4b16\nalert-muted-foreground: #586e75\nbackground: #fdf6e3\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #cb4b16\nbutton-foreground: #fdf6e3\nbutton-border: transparent\ncode-background: #eee8d5\ncode-border: #93a1a1\ncode-foreground: #d33682\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #859900\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #D08770\ndownload-background: #859900\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #fdf6e3\ndropdown-tab-background: #93a1a1\ndropzone-background: #859900\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: #d33682\nexternal-link-foreground-visited: #b58900\nexternal-link-foreground: #cb4b16\nforeground: #839496\nmessage-background: #586e75\nmessage-border: #586e75\nmessage-foreground: #eee8d5\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #eee8d5\nmodal-footer-background: #eee8d5\nmodal-footer-border: #eee8d5\nmodal-header-border: #eee8d5\nmuted-foreground: #93a1a1\nnotification-background: #EBCB8B\nnotification-border: #D08770\npage-background: #eee8d5\npre-background: #eee8d5\npre-border: #93a1a1\nprimary: #2aa198\nselect-tag-background: #eee8d5\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: #eee8d5\nsidebar-controls-foreground-hover: #268bd2\nsidebar-controls-foreground: #586e75\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #839496\nsidebar-muted-foreground-hover: #657b83\nsidebar-muted-foreground: #93a1a1\nsidebar-tab-background-selected: #eee8d5\nsidebar-tab-background: #839496\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #657b83\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #839496\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #859900\nsidebar-tiddler-link-foreground: #268bd2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #dc322f\ntab-background-selected: #fdf6e3\ntab-background: #839496\ntab-border-selected: #93a1a1\ntab-border: #93a1a1\ntab-divider: #fdf6e3\ntab-foreground-selected: #839496\ntab-foreground: #eee8d5\ntable-border: #657b83\ntable-footer-background: #657b83\ntable-header-background: #93a1a1\ntag-background: #6c71c4\ntag-foreground: #eee8d5\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #b58900\ntiddler-controls-foreground-selected: #b58900\ntiddler-controls-foreground: #073642\ntiddler-editor-background: #eee8d5\ntiddler-editor-border-image: #eee8d5\ntiddler-editor-border: #eee8d5\ntiddler-editor-fields-even: #eee8d5\ntiddler-editor-fields-odd: #fdf6e3\ntiddler-info-background: #eee8d5\ntiddler-info-border: #eee8d5\ntiddler-info-tab-background: #586e75\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #586e75\ntiddler-title-foreground: #073642\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #839496\nvery-muted-foreground: #93a1a1\n"
},
"$:/palettes/SpartanDay": {
"title": "$:/palettes/SpartanDay",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Cold, spartan day colors",
"name": "Spartan Day",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: #ececec\ncode-border: #ececec\ncode-foreground: \ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: \nexternal-link-foreground: \nforeground: rgba(0, 0, 0, 0.87)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #f4f4f4\npre-background: #ececec\npre-border: #ececec\nprimary: #3949ab\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #aeaeae\nsidebar-controls-foreground: #c6c6c6\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(0, 0, 0, 0.87)\nsidebar-tab-foreground: rgba(0, 0, 0, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #d8d8d8\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: #f9f9f9\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: #e8e7e7\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)\n"
},
"$:/palettes/SpartanNight": {
"title": "$:/palettes/SpartanNight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Dark spartan colors",
"name": "Spartan Night",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #7c318c\nexternal-link-foreground: #9e3eb3\nforeground: rgba(255, 255, 255, 0.7)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: #2a2a2a\npre-border: transparent\nprimary: #5656f3\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #494949\nsidebar-controls-foreground: #5d5d5d\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #3a3a3a\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: rgb(55,55,55)\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\n"
},
"$:/palettes/Twilight": {
"title": "$:/palettes/Twilight",
"tags": "$:/tags/Palette",
"author": "Thomas Elmiger",
"type": "application/x-tiddler-dictionary",
"name": "Twilight",
"description": "Delightful, soft darkness.",
"text": "alert-background: rgb(255, 255, 102)\nalert-border: rgb(232, 232, 125)\nalert-highlight: rgb(255, 51, 51)\nalert-muted-foreground: rgb(224, 82, 82)\nbackground: rgb(38, 38, 38)\nblockquote-bar: rgba(240, 196, 117, 0.7)\nbutton-background: rgb(63, 63, 63)\nbutton-border: rgb(127, 127, 127)\nbutton-foreground: rgb(179, 179, 179)\ncode-background: rgba(0,0,0,0.03)\ncode-border: rgba(0,0,0,0.08)\ncode-foreground: rgb(255, 94, 94)\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: rgb(255, 94, 94)\ndownload-background: #19a974\ndownload-foreground: rgb(38, 38, 38)\ndragger-background: rgb(179, 179, 179)\ndragger-foreground: rgb(38, 38, 38)\ndropdown-background: rgb(38, 38, 38)\ndropdown-border: rgb(255, 255, 255)\ndropdown-tab-background: rgba(0,0,0,.1)\ndropdown-tab-background-selected: rgba(255,255,255,1)\ndropzone-background: #9eebcf\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: rgb(179, 179, 255)\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: rgb(153, 153, 255)\nforeground: rgb(179, 179, 179)\nmessage-background: <<colour tag-foreground>>\nmessage-border: #96ccff\nmessage-foreground: <<colour tag-background>>\nmodal-backdrop: rgb(179, 179, 179)\nmodal-background: rgb(38, 38, 38)\nmodal-border: rgba(0,0,0,.5)\nmodal-footer-background: #f4f4f4\nmodal-footer-border: rgba(0,0,0,.1)\nmodal-header-border: rgba(0,0,0,.2)\nmuted-foreground: rgb(255, 255, 255)\nnotification-background: <<colour tag-foreground>>\nnotification-border: <<colour tag-background>>\npage-background: rgb(26, 26, 26)\npre-background: rgb(25, 25, 25)\npre-border: rgba(0,0,0,.2)\nprimary: rgb(255, 201, 102)\nselect-tag-background: \nselect-tag-foreground: \nsidebar-button-foreground: rgb(179, 179, 179)\nsidebar-controls-foreground: rgb(153, 153, 153)\nsidebar-controls-foreground-hover: <<colour tiddler-controls-foreground-hover>>\nsidebar-foreground: rgb(141, 141, 141)\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: rgba(0, 0, 0, 0.5)\nsidebar-muted-foreground-hover: rgb(141, 141, 141)\nsidebar-tab-background: rgba(141, 141, 141, 0.2)\nsidebar-tab-background-selected: rgb(26, 26, 26)\nsidebar-tab-border: rgb(127, 127, 127)\nsidebar-tab-border-selected: rgb(127, 127, 127)\nsidebar-tab-divider: rgb(127, 127, 127)\nsidebar-tab-foreground: rgb(179, 179, 179)\nsidebar-tab-foreground-selected: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground-hover: rgb(115, 115, 115)\nsite-title-foreground: rgb(255, 201, 102)\nstatic-alert-foreground: rgba(0,0,0,.3)\ntab-background: rgba(0,0,0,0.125)\ntab-background-selected: rgb(38, 38, 38)\ntab-border: rgb(255, 201, 102)\ntab-border-selected: rgb(255, 201, 102)\ntab-divider: rgb(255, 201, 102)\ntab-foreground: rgb(179, 179, 179)\ntab-foreground-selected: rgb(179, 179, 179)\ntable-border: rgba(255,255,255,.3)\ntable-footer-background: rgba(0,0,0,.4)\ntable-header-background: rgba(0,0,0,.1)\ntag-background: rgb(255, 201, 102)\ntag-foreground: rgb(25, 25, 25)\ntiddler-background: rgb(38, 38, 38)\ntiddler-border: rgba(240, 196, 117, 0.7)\ntiddler-controls-foreground: rgb(128, 128, 128)\ntiddler-controls-foreground-hover: rgba(255, 255, 255, 0.8)\ntiddler-controls-foreground-selected: rgba(255, 255, 255, 0.9)\ntiddler-editor-background: rgb(33, 33, 33)\ntiddler-editor-border: rgb(63, 63, 63)\ntiddler-editor-border-image: rgb(25, 25, 25)\ntiddler-editor-fields-even: rgb(33, 33, 33)\ntiddler-editor-fields-odd: rgb(28, 28, 28)\ntiddler-info-background: rgb(43, 43, 43)\ntiddler-info-border: rgb(25, 25, 25)\ntiddler-info-tab-background: rgb(43, 43, 43)\ntiddler-link-background: rgb(38, 38, 38)\ntiddler-link-foreground: rgb(204, 204, 255)\ntiddler-subtitle-foreground: rgb(255, 255, 255)\ntiddler-title-foreground: rgb(255, 192, 76)\ntoolbar-cancel-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-done-button: \ntoolbar-edit-button: \ntoolbar-info-button: \ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \nuntagged-background: rgb(255, 255, 255)\nvery-muted-foreground: rgba(240, 196, 117, 0.7)\n"
},
"$:/palettes/Vanilla": {
"title": "$:/palettes/Vanilla",
"name": "Vanilla",
"description": "Pale and unobtrusive",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\nwikilist-background: #e5e5e5\nwikilist-item: #fff\nwikilist-info: #000\nwikilist-title: #666\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #aaa\nwikilist-button-open: #4fb82b\nwikilist-button-open-hover: green\nwikilist-button-reveal: #5778d8\nwikilist-button-reveal-hover: blue\nwikilist-button-remove: #d85778\nwikilist-button-remove-hover: red\nwikilist-toolbar-background: #d3d3d3\nwikilist-toolbar-foreground: #888\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #acacac\nwikilist-button-foreground: #000\n"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
},
"$:/library/sjcl.js/license": {
"title": "$:/library/sjcl.js/license",
"type": "text/plain",
"text": "SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"
},
"$:/core/templates/MOTW.html": {
"title": "$:/core/templates/MOTW.html",
"text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com --> "
},
"$:/core/templates/alltiddlers.template.html": {
"title": "$:/core/templates/alltiddlers.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
},
"$:/core/templates/canonical-uri-external-image": {
"title": "$:/core/templates/canonical-uri-external-image",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-raw": {
"title": "$:/core/templates/canonical-uri-external-raw",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-text": {
"title": "$:/core/templates/canonical-uri-external-text",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
},
"$:/core/templates/css-tiddler": {
"title": "$:/core/templates/css-tiddler",
"text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
},
"$:/core/templates/exporters/CsvFile": {
"title": "$:/core/templates/exporters/CsvFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/CsvFile}}",
"extension": ".csv",
"text": "\\define renderContent()\n<$text text=<<csvtiddlers filter:\"\"\"$(exportFilter)$\"\"\" format:\"quoted-comma-sep\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/JsonFile": {
"title": "$:/core/templates/exporters/JsonFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/JsonFile}}",
"extension": ".json",
"text": "\\define renderContent()\n<$text text=<<jsontiddlers filter:\"\"\"$(exportFilter)$\"\"\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/StaticRiver": {
"title": "$:/core/templates/exporters/StaticRiver",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/StaticRiver}}",
"extension": ".html",
"text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
},
"$:/core/templates/exporters/StaticRiver/Content": {
"title": "$:/core/templates/exporters/StaticRiver/Content",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>\n"
},
"$:/core/templates/exporters/TidFile": {
"title": "$:/core/templates/exporters/TidFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/TidFile}}",
"extension": ".tid",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>"
},
"$:/core/save/all-external-js": {
"title": "$:/core/save/all-external-js",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/core]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5-external-js.html}}\n"
},
"$:/core/templates/tiddlywiki5.js": {
"title": "$:/core/templates/tiddlywiki5.js",
"text": "\\rules only filteredtranscludeinline transcludeinline codeinline\n\n/*\n{{ $:/core/copyright.txt ||$:/core/templates/plain-text-tiddler}}\n`*/\n`<!--~~ Library modules ~~-->\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/plain-text-tiddler}}}\n<!--~~ Boot prefix ~~-->\n{{ $:/boot/bootprefix.js ||$:/core/templates/plain-text-tiddler}}\n<!--~~ Core plugin ~~-->\n{{$:/core/templates/tiddlywiki5.js/tiddlers}}\n<!--~~ Boot kernel ~~-->\n{{ $:/boot/boot.js ||$:/core/templates/plain-text-tiddler}}\n"
},
"$:/core/templates/tiddlywiki5.js/tiddlers": {
"title": "$:/core/templates/tiddlywiki5.js/tiddlers",
"text": "`\n$tw.preloadTiddlerArray(`<$text text=<<jsontiddlers \"[[$:/core]]\">>/>`);\n$tw.preloadTiddlerArray([{\n\ttitle: \"$:/config/SaveWikiButton/Template\",\n\ttext: \"$:/core/save/all-external-js\"\n}]);\n`\n"
},
"$:/core/templates/tiddlywiki5-external-js.html": {
"title": "$:/core/templates/tiddlywiki5-external-js.html",
"text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Raw markup for the bottom of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}\n</body>\n<script src=\"%24%3A%2Fcore%2Ftemplates%2Ftiddlywiki5.js\" onerror=\"alert('Error: Cannot load tiddlywiki.js');\"></script>\n</html>\n"
},
"$:/core/templates/html-div-skinny-tiddler": {
"title": "$:/core/templates/html-div-skinny-tiddler",
"text": "<!--\n\nThis template is a variant of $:/core/templates/html-div-tiddler used for saving skinny tiddlers (with no text field)\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre></pre>\n</div>`\n"
},
"$:/core/templates/html-div-tiddler": {
"title": "$:/core/templates/html-div-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
},
"$:/core/templates/html-tiddler": {
"title": "$:/core/templates/html-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
},
"$:/core/templates/javascript-tiddler": {
"title": "$:/core/templates/javascript-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
},
"$:/core/templates/json-tiddler": {
"title": "$:/core/templates/json-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"
},
"$:/core/templates/module-tiddler": {
"title": "$:/core/templates/module-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
},
"$:/core/templates/plain-text-tiddler": {
"title": "$:/core/templates/plain-text-tiddler",
"text": "<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/raw-static-tiddler": {
"title": "$:/core/templates/raw-static-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"
},
"$:/core/save/all": {
"title": "$:/core/save/all",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/empty": {
"title": "$:/core/save/empty",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-all": {
"title": "$:/core/save/lazy-all",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-images": {
"title": "$:/core/save/lazy-images",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[is[image]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/templates/server/static.sidebar.wikitext": {
"title": "$:/core/templates/server/static.sidebar.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-sidebar-scrollable\" style=\"overflow: auto;\">\n<div class=\"tc-sidebar-header\">\n<h1 class=\"tc-site-title\">\n<$transclude tiddler=\"$:/SiteTitle\"/>\n</h1>\n<div class=\"tc-site-subtitle\">\n<$transclude tiddler=\"$:/SiteSubtitle\"/>\n</div>\n<h2>\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$list filter={{$:/DefaultTiddlers}}>\n<div class=\"tc-menu-list-subitem\">\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n</$list>\n</div>\n<!-- Currently disabled the recent list as it is unweildy when the responsive narrow view kicks in\n<h2>\n{{$:/language/SideBar/Recent/Caption}}\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n</div>\n</div>\n</div>\n-->\n"
},
"$:/core/templates/server/static.tiddler.html": {
"title": "$:/core/templates/server/static.tiddler.html",
"text": "\\whitespace trim\n\\define tv-wikilink-template() $uri_encoded$\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content={{$:/core/templates/version}} />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"%24%3A%2Fcore%2Ftemplates%2Fstatic.template.css\">\n<title><$view field=\"caption\" format=\"plainwikified\"><$view field=\"title\"/></$view>: <$view tiddler=\"$:/core/wiki/title\" format=\"plainwikified\"/></title>\n</head>\n<body class=\"tc-body\">\n<$transclude tiddler=\"$:/core/templates/server/static.sidebar.wikitext\" mode=\"inline\"/>\n<section class=\"tc-story-river\">\n<div class=\"tc-tiddler-frame\">\n<$transclude tiddler=\"$:/core/templates/server/static.tiddler.wikitext\" mode=\"inline\"/>\n</div>\n</section>\n</body>\n</html>"
},
"$:/core/templates/server/static.tiddler.wikitext": {
"title": "$:/core/templates/server/static.tiddler.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<h2><$text text=<<currentTiddler>>/></h2>\n</div>\n</div>\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n<div class=\"tc-tags-wrapper\">\n<$list filter=\"[all[current]tags[]sort[title]]\">\n<a href={{{ [<currentTiddler>encodeuricomponent[]] }}}>\n<$macrocall $name=\"tag-pill\" tag=<<currentTiddler>>/>\n</a>\n</$list>\n</div>\n<div class=\"tc-tiddler-body\">\n<$transclude mode=\"block\"/>\n</div>\n"
},
"$:/core/templates/single.tiddler.window": {
"title": "$:/core/templates/single.tiddler.window",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/templates/split-recipe": {
"title": "$:/core/templates/split-recipe",
"text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
},
"$:/core/templates/static-tiddler": {
"title": "$:/core/templates/static-tiddler",
"text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
},
"$:/core/templates/static.area": {
"title": "$:/core/templates/static.area",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n<!-- ensure splash screen isn't shown when JS is disabled -->\n`<style>\n.tc-remove-when-wiki-loaded {display: none;}\n</style>`\n"
},
"$:/core/templates/static.content": {
"title": "$:/core/templates/static.content",
"text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
},
"$:/core/templates/static.template.css": {
"title": "$:/core/templates/static.template.css",
"text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
},
"$:/core/templates/static.template.html": {
"title": "$:/core/templates/static.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
},
"$:/core/templates/static.tiddler.html": {
"title": "$:/core/templates/static.tiddler.html",
"text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river\">\n`<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>`\n</section>\n</body>\n</html>\n`"
},
"$:/core/templates/store.area.template.html": {
"title": "$:/core/templates/store.area.template.html",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n<$list filter={{{ [<skinnySaveTiddlerFilter>] }}} template=\"$:/core/templates/html-div-skinny-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
},
"$:/core/templates/tid-tiddler": {
"title": "$:/core/templates/tid-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/tiddler-metadata": {
"title": "$:/core/templates/tiddler-metadata",
"text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
},
"$:/core/templates/tiddlywiki5.html": {
"title": "$:/core/templates/tiddlywiki5.html",
"text": "<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}`\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n`{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n`{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n</body>\n</html>`\n"
},
"$:/core/templates/version": {
"title": "$:/core/templates/version",
"text": "<<version>>"
},
"$:/core/templates/wikified-tiddler": {
"title": "$:/core/templates/wikified-tiddler",
"text": "<$transclude />"
},
"$:/core/ui/AboveStory/tw2-plugin-check": {
"title": "$:/core/ui/AboveStory/tw2-plugin-check",
"tags": "$:/tags/AboveStory",
"text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/Actions/new-image": {
"title": "$:/core/ui/Actions/new-image",
"tags": "$:/tags/Actions",
"description": "create a new image tiddler",
"text": "\\define get-type()\nimage/$(imageType)$\n\\end\n<$vars imageType={{$:/config/NewImageType}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=<<get-type>> tags={{$:/config/NewTiddler/Tags!!tags}}/>\n</$vars>\n"
},
"$:/core/ui/Actions/new-journal": {
"title": "$:/core/ui/Actions/new-journal",
"tags": "$:/tags/Actions",
"description": "create a new journal tiddler",
"text": "<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} journalTags={{$:/config/NewJournal/Tags!!tags}} journalText={{$:/config/NewJournal/Text}}>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$reveal type=\"nomatch\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text={{{ [<journalTitle>get[]] }}}/>\n</$reveal>\n<$reveal type=\"match\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text=<<journalText>>/>\n</$reveal>\n</$wikify>\n</$vars>\n"
},
"$:/core/ui/Actions/new-tiddler": {
"title": "$:/core/ui/Actions/new-tiddler",
"tags": "$:/tags/Actions",
"description": "create a new empty tiddler",
"text": "<$action-sendmessage $message=\"tm-new-tiddler\" tags={{$:/config/NewTiddler/Tags!!tags}}/>\n"
},
"$:/core/ui/AdvancedSearch/Filter": {
"title": "$:/core/ui/AdvancedSearch/Filter",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Filter/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}} template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nAre you sure you wish to delete <<resultCount>> tiddler(s)?\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\nDelete these tiddlers\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/export": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Shadows": {
"title": "$:/core/ui/AdvancedSearch/Shadows",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Shadows/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Standard": {
"title": "$:/core/ui/AdvancedSearch/Standard",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Standard/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$set name=\"searchTiddler\" value=\"$:/temp/advancedsearch\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/System": {
"title": "$:/core/ui/AdvancedSearch/System",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/System/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/AdvancedSearch": {
"title": "$:/AdvancedSearch",
"icon": "$:/core/images/advanced-search-button",
"color": "#bbb",
"text": "<div class=\"tc-advanced-search\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" \"$:/core/ui/AdvancedSearch/System\">>\n</div>\n"
},
"$:/core/ui/AlertTemplate": {
"title": "$:/core/ui/AlertTemplate",
"text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/cancel-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$wikify name=\"format\" text=<<lingo Tiddler/DateFormat>>>\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=<<format>>/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">({{$:/language/Count}}: <$view field=\"count\"/>)</span></$reveal>\n</$wikify>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
},
"$:/core/ui/BinaryWarning": {
"title": "$:/core/ui/BinaryWarning",
"text": "\\define lingo-base() $:/language/BinaryWarning/\n<<lingo Prompt>>\n"
},
"$:/core/ui/Components/plugin-info": {
"title": "$:/core/ui/Components/plugin-info",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1>\n''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'': <$view field=\"description\"><$view field=\"title\"/></$view> $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n</$set>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"
},
"$:/core/ui/Components/tag-link": {
"title": "$:/core/ui/Components/tag-link",
"text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
},
"$:/core/ui/ControlPanel/Advanced": {
"title": "$:/core/ui/ControlPanel/Advanced",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
"text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" \"$:/core/ui/ControlPanel/TiddlerFields\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Appearance": {
"title": "$:/core/ui/ControlPanel/Appearance",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
"text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Theme\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Basics": {
"title": "$:/core/ui/ControlPanel/Basics",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Basics/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\" class=\"tc-edit-texteditor\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/language/DefaultNewTiddlerTitle\"><<lingo NewTiddler/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/language/DefaultNewTiddlerTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" tag=\"textarea\" class=\"tc-edit-texteditor\" default=\"\"/> |\n|<$link to=\"$:/config/NewTiddler/Tags\"><<lingo NewTiddler/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewTiddler/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewJournal/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/AutoFocus\"><<lingo AutoFocus/Prompt>></$link> |{{$:/snippets/minifocusswitcher}} |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
},
"$:/core/ui/ControlPanel/EditorTypes": {
"title": "$:/core/ui/ControlPanel/EditorTypes",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/Info": {
"title": "$:/core/ui/ControlPanel/Info",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Info/Caption}}",
"text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Basics\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/KeyboardShortcuts": {
"title": "$:/core/ui/ControlPanel/KeyboardShortcuts",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} focus=\"true\" style=\"width:auto;\"/> <$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list filter=\"[list[$(shortcutTitle)$!!text]sort[title]]\" variable=\"shortcut\" emptyMessage=\"\"\"\n<div class=\"tc-dropdown-item-plain\">\n//<<lingo NoShortcuts/Caption>>//\n</div>\n\"\"\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint}}>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n<small>{{$:/core/images/close-button}}</small>\n</$button>\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n<tr>\n<$list filter=\"[[$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">>\n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>match[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/LoadedModules": {
"title": "$:/core/ui/ControlPanel/LoadedModules",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
},
"$:/core/ui/ControlPanel/Modals/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
"subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
"text": "\\define install-plugin-actions()\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$set name=\"url\" value={{!!url}}>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url=<<url>> title=<<dependency>>/>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define install-plugin-button()\n<div>\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$set name=\"reinstall-type\" value={{{ [<libraryVersion>compare:version:eq<installedVersion>then[tc-reinstall]] [<libraryVersion>compare:version:gt<installedVersion>then[tc-reinstall-upgrade]] [<libraryVersion>compare:version:lt<installedVersion>then[tc-reinstall-downgrade]] }}}>\n<$button actions=<<install-plugin-actions>> class={{{ [<assetInfo>get[original-title]has[version]then<reinstall-type>] tc-btn-invisible tc-install-plugin +[join[ ]] }}}>\n{{$:/core/images/download-button}}\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\">\n<$list filter=\"[<libraryVersion>compare:version:gt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[<libraryVersion>compare:version:lt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}\">\n{{$:/language/ControlPanel/Plugins/Downgrade/Caption}}\n</$list>\n\"\"\">\n{{$:/language/ControlPanel/Plugins/Update/Caption}}\n</$list>\n</$list>\n</$button>\n<div>\n</div>\n<$reveal stateTitle=<<assetInfo>> stateField=\"requires-reload\" type=\"match\" text=\"yes\">{{$:/language/ControlPanel/Plugins/PluginWillRequireReload}}</$reveal>\n</$set>\n</$set>\n</$set>\n</div>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1><strong><$text text={{{ [<assetInfo>get[name]] ~[<assetInfo>get[original-title]split[/]last[1]] }}}/></strong>: <$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\"><div><em>{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}</em></div></$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-buttons\">\n<<install-plugin-button>>\n</div>\n</div>\n<$set name=\"original-title\" value={{{ [<assetInfo>get[original-title]] }}}>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]] ~[<assetInfo>get[original-title]!is[tiddler]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]!is[tiddler]]\">\n{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\n</$list>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]]\" variable=\"ignore\">\n<div>\n{{$:/language/ControlPanel/Plugins/AlsoRequires}}\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$text text=<<dependency>>/>\n</$list>\n</div>\n</$list>\n</$set>\n</div>\n</$list>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-sub-plugins\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>sort[title]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n</$list>\n</div>\n</$reveal>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<$reveal type=\"nomatch\" text=\"yes\" state=<<popup-state>> tag=\"div\" class=\"tc-plugin-info-sub-plugin-indicator\">\n<$wikify name=\"count\" text=\"\"\"<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>]\"/>\"\"\">\n<$button class=\"tc-btn-invisible\" set=<<popup-state>> setTo=\"yes\">\n{{$:/language/ControlPanel/Plugins/SubPluginPrompt}}\n</$button>\n</$wikify>\n</$reveal>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search:author,description,original-title,readme,title{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[title]]\" variable=\"assetInfo\">\n<$list filter=\"[[$:/temp/RemoteAssetSearch/$(currentTiddler)$]has[text]] ~[<assetInfo>!has[parent-plugin]]\" variable=\"ignore\"><!-- Hide sub-plugins if we're not searching -->\n<<display-plugin-info \"$type$\">>\n</$list>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<$set name=\"transclusion\" value=<<connectionTiddler>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Updates]] [[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$set>\n\n</$list>\n\\end\n\n\\define close-library-button()\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}} {{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n<div class=\"tc-tab-set\">\n<$set name=\"defaultTab\" value={{{ [all[tiddlers+shadows]tag[$:/tags/PluginLibrary]] }}}>\n<div class=\"tc-tab-buttons\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$button set=<<qualify \"$:/state/addplugins/tab\">> setTo=<<currentTiddler>> default=<<defaultTab>> selectedClass=\"tc-tab-selected\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\"/>\n</$set>\n</$button>\n</$list>\n</div>\n<div class=\"tc-tab-divider\"/>\n<div class=\"tc-tab-content\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$reveal type=\"match\" state=<<qualify \"$:/state/addplugins/tab\">> text=<<currentTiddler>> default=<<defaultTab>>>\n<h2><$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link></h2>\n//<$view field=\"url\"/>//\n<$transclude mode=\"block\"/>\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n<<display-server-connection>>\n</$reveal>\n</$list>\n</div>\n</$set>\n</div>\n\\end\n\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<div>\n<<plugin-library-listing>>\n</div>\n"
},
"$:/core/ui/ControlPanel/Palette": {
"title": "$:/core/ui/ControlPanel/Palette",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Palette/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/PaletteManager}}\n\n</$reveal>\n\n"
},
"$:/core/ui/ControlPanel/Parsing": {
"title": "$:/core/ui/ControlPanel/Parsing",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<<rule>>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"
},
"$:/core/ui/ControlPanel/Plugins/Add/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
"text": "<<display-server-assets language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
"text": "<<display-server-assets plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
"text": "<<display-server-assets theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Updates": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Updates",
"caption": "<$importvariables filter=\"$:/core/ui/ControlPanel/Plugins/Add/Updates\">{{$:/language/ControlPanel/Plugins/Updates/Caption}} (<<update-count>>)</$importvariables>",
"text": "\\define each-updateable-plugin(body)\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}sort[title]]\" variable=\"assetInfo\">\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$list filter=\"[<assetInfo>get[original-title]has[version]!version<libraryVersion>]\" variable=\"ignore\">\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$list filter=\"[<installedversion>!match<libraryVersion>]\" variable=\"ignore\">\n$body$\n</$list>\n</$set>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define update-all-actions()\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<<install-plugin-actions>>\n\"\"\"/>\n\\end\n\n\\define update-count()\n<$wikify name=\"count-filter\" text=<<each-updateable-plugin \"[[<$text text=<<assetInfo>>/>]]\">>><$count filter=<<count-filter>>/></$wikify>\n\\end\n\n<$button actions=<<update-all-actions>> class=\"tc-btn-invisible tc-install-plugin tc-reinstall-upgrade\">\n{{$:/core/images/download-button}} {{||$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption}}\n</$button>\n\n<div class=\"tc-plugin-library-listing\">\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<$macrocall $name=\"display-plugin-info\" type={{{ [<assetInfo>get[original-plugin-type]] }}}/>\n\"\"\"/>\n</div>\n"
},
"$:/core/ui/ControlPanel/Plugins/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green tc-primary-btn\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
"text": "<<plugin-table language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
"text": "<<plugin-table plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
"text": "<<plugin-table theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[title]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\">>\n"
},
"$:/core/ui/ControlPanel/Saving/DownloadSaver": {
"title": "$:/core/ui/ControlPanel/Saving/DownloadSaver",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Saving/General": {
"title": "$:/core/ui/ControlPanel/Saving/General",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/General/Caption}}",
"list-before": "",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Saving/GitHub": {
"title": "$:/core/ui/ControlPanel/Saving/GitHub",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitHub/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitHub\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitHub/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitHub/Password>> |<$password name=\"github\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitHub/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitHub/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitHub/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitHub/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitHub/ServerURL\" default=\"https://api.github.com\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/GitLab": {
"title": "$:/core/ui/ControlPanel/Saving/GitLab",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitLab/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitLab\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitLab/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitLab/Password>> |<$password name=\"gitlab\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitLab/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitLab/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitLab/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitLab/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitLab/ServerURL\" default=\"https://gitlab.com/api/v4\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/TiddlySpot": {
"title": "$:/core/ui/ControlPanel/Saving/TiddlySpot",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define backupURL()\nhttp://$(userName)$.tiddlyspot.com/backup/\n\\end\n\\define backupLink()\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<backupURL>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n|<<lingo Backups>> |<<backupLink>> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>"
},
"$:/core/ui/ControlPanel/Saving/Gitea": {
"title": "$:/core/ui/ControlPanel/Saving/Gitea",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/Gitea/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~Gitea\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/Gitea/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo Gitea/Password>> |<$password name=\"Gitea\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/Gitea/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/Gitea/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/Gitea/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/Gitea/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/Gitea/ServerURL\" default=\"https://gitea/api/v1\" tag=\"input\"/> |\n"
},
"$:/core/ui/ControlPanel/Saving": {
"title": "$:/core/ui/ControlPanel/Saving",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Saving/Caption}}",
"text": "{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Saving/General\">>\n</div>\n"
},
"$:/core/buttonstyles/Borderless": {
"title": "$:/core/buttonstyles/Borderless",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
"text": "tc-btn-invisible"
},
"$:/core/buttonstyles/Boxed": {
"title": "$:/core/buttonstyles/Boxed",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
"text": "tc-btn-boxed"
},
"$:/core/buttonstyles/Rounded": {
"title": "$:/core/buttonstyles/Rounded",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
"text": "tc-btn-rounded"
},
"$:/core/ui/ControlPanel/Settings/CamelCase": {
"title": "$:/core/ui/ControlPanel/Settings/CamelCase",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultMoreSidebarTab/\n\n<$link to=\"$:/config/DefaultMoreSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultMoreSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Settings/EditorToolbar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/InfoPanelMode": {
"title": "$:/core/ui/ControlPanel/Settings/InfoPanelMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
"title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n <option value=\"above\"><<lingo \"OpenAbove\">></option>\n <option value=\"below\"><<lingo \"OpenBelow\">></option>\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/MissingLinks": {
"title": "$:/core/ui/ControlPanel/Settings/MissingLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationHistory": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationPermalinkviewMode/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/CopyToClipboard\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/CopyToClipboard\"><<lingo CopyToClipboard/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\"><<lingo UpdateAddressBar/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
"title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/TitleLinks": {
"title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings": {
"title": "$:/core/ui/ControlPanel/Settings",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Settings/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ControlPanel/StoryView": {
"title": "$:/core/ui/ControlPanel/StoryView",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
"text": "{{$:/snippets/viewswitcher}}\n"
},
"$:/core/ui/ControlPanel/Stylesheets": {
"title": "$:/core/ui/ControlPanel/Stylesheets",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Stylesheets/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo Stylesheets/Hint>>\n\n{{$:/snippets/peek-stylesheets}}\n"
},
"$:/core/ui/ControlPanel/Theme": {
"title": "$:/core/ui/ControlPanel/Theme",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Theme/Caption}}",
"text": "{{$:/snippets/themeswitcher}}\n"
},
"$:/core/ui/ControlPanel/TiddlerFields": {
"title": "$:/core/ui/ControlPanel/TiddlerFields",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
},
"$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"
},
"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span> <$transclude field=\"caption\"/> -- <i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/ItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"> <$transclude field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude field=\"description\"/></i></span>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/PageControls": {
"title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars": {
"title": "$:/core/ui/ControlPanel/Toolbars",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
"text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" \"$:/state/tabs/controlpanel/toolbars\" \"tc-vertical\">>\n</div>\n"
},
"$:/ControlPanel": {
"title": "$:/ControlPanel",
"icon": "$:/core/images/options-button",
"color": "#bbb",
"text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Info\">>\n</div>\n"
},
"$:/core/ui/DefaultSearchResultList": {
"title": "$:/core/ui/DefaultSearchResultList",
"tags": "$:/tags/SearchResults",
"caption": "{{$:/language/Search/DefaultResults/Caption}}",
"text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[!is[system]search:title{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[!is[system]search{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n\\end\n<<searchResultList>>\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-current": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-current",
"tags": "$:/tags/EditPreview",
"caption": "differences from current",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-shadow": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-shadow",
"tags": "$:/tags/EditPreview",
"caption": "differences from shadow (if any)",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{{ [{!!draft.of}shadowsource[]] }}} sourceSubTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/output": {
"title": "$:/core/ui/EditTemplate/body/preview/output",
"tags": "$:/tags/EditPreview",
"caption": "{{$:/language/EditTemplate/Body/Preview/Type/Output}}",
"text": "\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n"
},
"$:/state/showeditpreview": {
"title": "$:/state/showeditpreview",
"text": "no"
},
"$:/core/ui/EditTemplate/body/editor": {
"title": "$:/core/ui/EditTemplate/body/editor",
"text": "<$edit\n\n field=\"text\"\n class=\"tc-edit-texteditor tc-edit-texteditor-body\"\n placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n tabindex={{$:/config/EditTabIndex}}\n focus={{{ [{$:/config/AutoFocus}match[text]then[true]] ~[[false]] }}}\n\n><$set\n\n name=\"targetTiddler\"\n value=<<currentTiddler>>\n\n><$list\n\n filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n type=\"nomatch\"\n state=<<config-visibility-title>>\n text=\"hide\"\n class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n mode=\"inline\"\n\n/></$reveal></$list></$set></$edit>\n"
},
"$:/core/ui/EditTemplate/body/toolbar/button": {
"title": "$:/core/ui/EditTemplate/body/toolbar/button",
"text": "\\define toolbar-button-icon()\n<$list\n\n filter=\"[all[current]!has[custom-icon]]\"\n variable=\"no-custom-icon\"\n\n><$transclude\n\n tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n filter={{!!condition}}\n variable=\"list-condition\"\n\n><$wikify\n\n name=\"tooltip-text\"\n text=<<toolbar-button-tooltip>>\n mode=\"inline\"\n output=\"text\"\n\n><$list\n\n filter=\"[all[current]!has[dropdown]]\"\n variable=\"no-dropdown\"\n\n><$button\n\n class=\"tc-btn-invisible $(buttonClasses)$\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button></$list><$list\n\n filter=\"[all[current]has[dropdown]]\"\n variable=\"dropdown\"\n\n><$set\n\n name=\"dropdown-state\"\n value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$button\n\n popup=<<dropdown-state>>\n class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n selectedClass=\"tc-selected\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button><$reveal\n\n state=<<dropdown-state>>\n type=\"popup\"\n position=\"below\"\n animate=\"yes\"\n tag=\"span\"\n\n><div\n\n class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n tiddler={{!!dropdown}}\n mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n name=\"buttonClasses\"\n value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"
},
"$:/core/ui/EditTemplate/body": {
"title": "$:/core/ui/EditTemplate/body",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Body/\n\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n<$list filter=\"[all[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\" tabindex={{$:/config/EditTabIndex}}></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[all[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<div class=\"tc-tiddler-preview\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<div class=\"tc-tiddler-preview-preview\">\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/EditTemplate/controls": {
"title": "$:/core/ui/EditTemplate/controls",
"tags": "$:/tags/EditTemplate",
"text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
},
"$:/core/ui/EditTemplate/fields": {
"title": "$:/core/ui/EditTemplate/fields",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define current-tiddler-new-field-selector()\n[data-tiddler-title=\"$(currentTiddlerCSSescaped)$\"] .tc-edit-field-add-name input\n\\end\n\n\\define new-field-actions()\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/>\n\\end\n\n\\define new-field()\n<$vars name={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button tooltip=<<lingo Fields/Add/Button/Hint>>>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\\whitespace trim\n\n<div class=\"tc-edit-fields\">\n<table class=\"tc-edit-fields\">\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\" storyview=\"pop\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} tabindex={{$:/config/EditTabIndex}}/>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit\">\n<<lingo Fields/Add/Prompt>> \n</em>\n<span class=\"tc-edit-field-add-name\">\n<$edit-text tiddler=<<newFieldNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}} focusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[fields]then[true]] ~[[false]] }}}/>\n</span> \n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> \n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=<<newFieldNameTiddler>>>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$set name=\"newFieldName\" value={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title<newFieldName>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title<newFieldName>sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$set>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n<span class=\"tc-edit-field-add-value\">\n<$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}>\n<$keyboard key=\"((add-field))\" actions=<<new-field-actions>>>\n<$edit-text tiddler=<<newFieldValueTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\" tabindex={{$:/config/EditTabIndex}}/>\n</$keyboard>\n</$set>\n</span> \n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</div>\n</$fieldmangler>\n"
},
"$:/core/ui/EditTemplate/shadow": {
"title": "$:/core/ui/EditTemplate/shadow",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
},
"$:/core/ui/EditTemplate/tags": {
"title": "$:/core/ui/EditTemplate/tags",
"tags": "$:/tags/EditTemplate",
"text": "\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon)\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\"/>\n\\end\n\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>\n</$list>\n<$set name=\"tabIndex\" value={{$:/config/EditTabIndex}}>\n<$macrocall $name=\"tag-picker\"/>\n</$set>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus={{{ [{$:/config/AutoFocus}match[title]then[true]] ~[[false]] }}} tabindex={{$:/config/EditTabIndex}}/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$list filter=\"[title<fromTitle>backlinks[]limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$tiddler tiddler=<<fromTitle>> >\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo/References\"/>\n</$tiddler>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/EditTemplate/type": {
"title": "$:/core/ui/EditTemplate/type",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\whitespace trim\n<div class=\"tc-type-selector\"><$fieldmangler>\n<em class=\"tc-edit\"><<lingo Type/Prompt>></em> <$edit-text field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[type]then[true]] ~[[false]] }}}/> <$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}</$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]]\"><$link to={{!!name}}><$view field=\"description\"/> (<$view field=\"name\"/>)</$link>\n</$list>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</$set>\n</div>\n"
},
"$:/core/ui/EditTemplate": {
"title": "$:/core/ui/EditTemplate",
"text": "\\define save-tiddler-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n<div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-edit-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}>\n<$fieldmangler>\n<$vars storyTiddler=<<currentTiddler>> newTagNameTiddler=<<qualify \"$:/temp/NewTagName\">> newFieldNameTiddler=<<qualify \"$:/temp/NewFieldName\">> newFieldValueTiddler=<<qualify \"$:/temp/NewFieldValue\">>>\n<$keyboard key=\"((cancel-edit-tiddler))\" message=\"tm-cancel-tiddler\">\n<$keyboard key=\"((save-tiddler))\" actions=<<save-tiddler-actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$vars>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/Buttons/cancel": {
"title": "$:/core/ui/Buttons/cancel",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
"description": "{{$:/language/Buttons/Cancel/Hint}}",
"text": "<$button message=\"tm-cancel-tiddler\" tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/delete": {
"title": "$:/core/ui/Buttons/delete",
"tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
"caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
"description": "{{$:/language/Buttons/Delete/Hint}}",
"text": "<$button message=\"tm-delete-tiddler\" tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save": {
"title": "$:/core/ui/Buttons/save",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
"description": "{{$:/language/Buttons/Save/Hint}}",
"text": "\\define save-tiddler-button()\n<$fieldmangler><$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<<save-tiddler-actions>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button></$fieldmangler>\n\\end\n<<save-tiddler-button>>\n"
},
"$:/core/ui/EditorToolbar/bold": {
"title": "$:/core/ui/EditorToolbar/bold",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/bold",
"caption": "{{$:/language/Buttons/Bold/Caption}}",
"description": "{{$:/language/Buttons/Bold/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((bold))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"
},
"$:/core/ui/EditorToolbar/clear-dropdown": {
"title": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": "''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"
},
"$:/core/ui/EditorToolbar/clear": {
"title": "$:/core/ui/EditorToolbar/clear",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/erase",
"caption": "{{$:/language/Buttons/Clear/Caption}}",
"description": "{{$:/language/Buttons/Clear/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/editor-height-dropdown": {
"title": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"
},
"$:/core/ui/EditorToolbar/editor-height": {
"title": "$:/core/ui/EditorToolbar/editor-height",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/fixed-height",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/EditorHeight/Caption}}",
"description": "{{$:/language/Buttons/EditorHeight/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
"dropdown": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/excise-dropdown": {
"title": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>> <$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\"> <<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>> <$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"
},
"$:/core/ui/EditorToolbar/excise": {
"title": "$:/core/ui/EditorToolbar/excise",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/excise",
"caption": "{{$:/language/Buttons/Excise/Caption}}",
"description": "{{$:/language/Buttons/Excise/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>type[text/vnd.tiddlywiki]] +[first[]]",
"shortcuts": "((excise))",
"dropdown": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/heading-1": {
"title": "$:/core/ui/EditorToolbar/heading-1",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-1",
"caption": "{{$:/language/Buttons/Heading1/Caption}}",
"description": "{{$:/language/Buttons/Heading1/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((heading-1))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-2": {
"title": "$:/core/ui/EditorToolbar/heading-2",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-2",
"caption": "{{$:/language/Buttons/Heading2/Caption}}",
"description": "{{$:/language/Buttons/Heading2/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-2))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-3": {
"title": "$:/core/ui/EditorToolbar/heading-3",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-3",
"caption": "{{$:/language/Buttons/Heading3/Caption}}",
"description": "{{$:/language/Buttons/Heading3/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-3))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/core/ui/EditorToolbar/heading-4",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-4",
"caption": "{{$:/language/Buttons/Heading4/Caption}}",
"description": "{{$:/language/Buttons/Heading4/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-4))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/core/ui/EditorToolbar/heading-5",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-5",
"caption": "{{$:/language/Buttons/Heading5/Caption}}",
"description": "{{$:/language/Buttons/Heading5/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-5))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/core/ui/EditorToolbar/heading-6",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-6",
"caption": "{{$:/language/Buttons/Heading6/Caption}}",
"description": "{{$:/language/Buttons/Heading6/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-6))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"
},
"$:/core/ui/EditorToolbar/italic": {
"title": "$:/core/ui/EditorToolbar/italic",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/italic",
"caption": "{{$:/language/Buttons/Italic/Caption}}",
"description": "{{$:/language/Buttons/Italic/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((italic))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"
},
"$:/core/ui/EditorToolbar/line-width-dropdown": {
"title": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/line-width": {
"title": "$:/core/ui/EditorToolbar/line-width",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/line-width",
"caption": "{{$:/language/Buttons/LineWidth/Caption}}",
"description": "{{$:/language/Buttons/LineWidth/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/LineWidth}}/>"
},
"$:/core/ui/EditorToolbar/link-dropdown": {
"title": "$:/core/ui/EditorToolbar/link-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Link/\n\n\\define add-link-actions()\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(linkTiddler)$}} />\n<$action-deletetiddler $tiddler=<<dropdown-state>> />\n<$action-deletetiddler $tiddler=<<searchTiddler>> />\n<$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\\define external-link()\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\" actions=<<add-link-actions>>>\n{{$:/core/images/chevron-right}}\n</$button>\n\\end\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" >\n\n<$vars linkTiddler=<<searchTiddler>>>\n<$keyboard key=\"ENTER\" actions=<<add-link-actions>>>\n<$edit-text tiddler=<<searchTiddler>> type=\"search\" tag=\"input\" focus=\"true\" placeholder={{$:/language/Search/Search}} default=\"\"/>\n<$reveal tag=\"span\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<<external-link>>\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<$action-setfield $tiddler=<<searchTiddler>> text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</$keyboard>\n</$vars>\n\n<$reveal tag=\"div\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<add-link-actions>> to=<<linkTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>"
},
"$:/core/ui/EditorToolbar/link": {
"title": "$:/core/ui/EditorToolbar/link",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/link",
"caption": "{{$:/language/Buttons/Link/Caption}}",
"description": "{{$:/language/Buttons/Link/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((link))",
"dropdown": "$:/core/ui/EditorToolbar/link-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/linkify": {
"title": "$:/core/ui/EditorToolbar/linkify",
"caption": "{{$:/language/Buttons/Linkify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Linkify/Hint}}",
"icon": "$:/core/images/linkify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((linkify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"[[\"\n\tsuffix=\"]]\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-bullet": {
"title": "$:/core/ui/EditorToolbar/list-bullet",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-bullet",
"caption": "{{$:/language/Buttons/ListBullet/Caption}}",
"description": "{{$:/language/Buttons/ListBullet/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-bullet))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-number": {
"title": "$:/core/ui/EditorToolbar/list-number",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-number",
"caption": "{{$:/language/Buttons/ListNumber/Caption}}",
"description": "{{$:/language/Buttons/ListNumber/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-number))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-block": {
"title": "$:/core/ui/EditorToolbar/mono-block",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-block",
"caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
"description": "{{$:/language/Buttons/MonoBlock/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((mono-block))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-line": {
"title": "$:/core/ui/EditorToolbar/mono-line",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-line",
"caption": "{{$:/language/Buttons/MonoLine/Caption}}",
"description": "{{$:/language/Buttons/MonoLine/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((mono-line))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
},
"$:/core/ui/EditorToolbar/more-dropdown": {
"title": "$:/core/ui/EditorToolbar/more-dropdown",
"text": "\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/> <$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"
},
"$:/core/ui/EditorToolbar/more": {
"title": "$:/core/ui/EditorToolbar/more",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/down-arrow",
"caption": "{{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"condition": "[<targetTiddler>]",
"dropdown": "$:/core/ui/EditorToolbar/more-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/opacity-dropdown": {
"title": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/EditorToolbar/opacity": {
"title": "$:/core/ui/EditorToolbar/opacity",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/opacity",
"caption": "{{$:/language/Buttons/Opacity/Caption}}",
"description": "{{$:/language/Buttons/Opacity/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"
},
"$:/core/ui/EditorToolbar/paint-dropdown": {
"title": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/paint": {
"title": "$:/core/ui/EditorToolbar/paint",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/paint",
"caption": "{{$:/language/Buttons/Paint/Caption}}",
"description": "{{$:/language/Buttons/Paint/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"
},
"$:/core/ui/EditorToolbar/picture-dropdown": {
"title": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": "\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/picture": {
"title": "$:/core/ui/EditorToolbar/picture",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/picture",
"caption": "{{$:/language/Buttons/Picture/Caption}}",
"description": "{{$:/language/Buttons/Picture/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((picture))",
"dropdown": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/preview-type-dropdown": {
"title": "$:/core/ui/EditorToolbar/preview-type-dropdown",
"text": "\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/preview-type": {
"title": "$:/core/ui/EditorToolbar/preview-type",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/chevron-down",
"caption": "{{$:/language/Buttons/PreviewType/Caption}}",
"description": "{{$:/language/Buttons/PreviewType/Hint}}",
"condition": "[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]",
"button-classes": "tc-text-editor-toolbar-item-adjunct",
"dropdown": "$:/core/ui/EditorToolbar/preview-type-dropdown"
},
"$:/core/ui/EditorToolbar/preview": {
"title": "$:/core/ui/EditorToolbar/preview",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/preview-open",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/Preview/Caption}}",
"description": "{{$:/language/Buttons/Preview/Hint}}",
"condition": "[<targetTiddler>]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((preview))",
"text": "<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-open}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"no\"/>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-closed}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"yes\"/>\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/quote": {
"title": "$:/core/ui/EditorToolbar/quote",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/quote",
"caption": "{{$:/language/Buttons/Quote/Caption}}",
"description": "{{$:/language/Buttons/Quote/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((quote))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"
},
"$:/core/ui/EditorToolbar/rotate-left": {
"title": "$:/core/ui/EditorToolbar/rotate-left",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/rotate-left",
"caption": "{{$:/language/Buttons/RotateLeft/Caption}}",
"description": "{{$:/language/Buttons/RotateLeft/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"rotate-left\"\n/>\n"
},
"$:/core/ui/EditorToolbar/size-dropdown": {
"title": "$:/core/ui/EditorToolbar/size-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> × <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/> <<lingo Caption/Height>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/> <$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"
},
"$:/core/ui/EditorToolbar/size": {
"title": "$:/core/ui/EditorToolbar/size",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/size",
"caption": "{{$:/language/Buttons/Size/Caption}}",
"description": "{{$:/language/Buttons/Size/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/size-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/stamp-dropdown": {
"title": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n</$list>\n\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix={{{ [[$(snippetTitle)$]addsuffix[/prefix]get[text]] }}}\nsuffix={{{ [[$(snippetTitle)$]addsuffix[/suffix]get[text]] }}}\n/>\n\n</$list>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<snippetTitle>> field=\"title\" />\n\n</$transclude>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TextEditor/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"
},
"$:/core/ui/EditorToolbar/stamp": {
"title": "$:/core/ui/EditorToolbar/stamp",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/stamp",
"caption": "{{$:/language/Buttons/Stamp/Caption}}",
"description": "{{$:/language/Buttons/Stamp/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
"shortcuts": "((stamp))",
"dropdown": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/strikethrough": {
"title": "$:/core/ui/EditorToolbar/strikethrough",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/strikethrough",
"caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
"description": "{{$:/language/Buttons/Strikethrough/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((strikethrough))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
},
"$:/core/ui/EditorToolbar/subscript": {
"title": "$:/core/ui/EditorToolbar/subscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/subscript",
"caption": "{{$:/language/Buttons/Subscript/Caption}}",
"description": "{{$:/language/Buttons/Subscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((subscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"
},
"$:/core/ui/EditorToolbar/superscript": {
"title": "$:/core/ui/EditorToolbar/superscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/superscript",
"caption": "{{$:/language/Buttons/Superscript/Caption}}",
"description": "{{$:/language/Buttons/Superscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((superscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"
},
"$:/core/ui/EditorToolbar/transcludify": {
"title": "$:/core/ui/EditorToolbar/transcludify",
"caption": "{{$:/language/Buttons/Transcludify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Transcludify/Hint}}",
"icon": "$:/core/images/transcludify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((transcludify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"{{\"\n\tsuffix=\"}}\"\n/>\n"
},
"$:/core/ui/EditorToolbar/underline": {
"title": "$:/core/ui/EditorToolbar/underline",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/underline",
"caption": "{{$:/language/Buttons/Underline/Caption}}",
"description": "{{$:/language/Buttons/Underline/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((underline))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"
},
"$:/core/Filters/AllTags": {
"title": "$:/core/Filters/AllTags",
"tags": "$:/tags/Filter",
"filter": "[tags[]!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTags}}",
"text": ""
},
"$:/core/Filters/AllTiddlers": {
"title": "$:/core/Filters/AllTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTiddlers}}",
"text": ""
},
"$:/core/Filters/Drafts": {
"title": "$:/core/Filters/Drafts",
"tags": "$:/tags/Filter",
"filter": "[has[draft.of]sort[title]]",
"description": "{{$:/language/Filters/Drafts}}",
"text": ""
},
"$:/core/Filters/Missing": {
"title": "$:/core/Filters/Missing",
"tags": "$:/tags/Filter",
"filter": "[all[missing]sort[title]]",
"description": "{{$:/language/Filters/Missing}}",
"text": ""
},
"$:/core/Filters/Orphans": {
"title": "$:/core/Filters/Orphans",
"tags": "$:/tags/Filter",
"filter": "[all[orphans]sort[title]]",
"description": "{{$:/language/Filters/Orphans}}",
"text": ""
},
"$:/core/Filters/OverriddenShadowTiddlers": {
"title": "$:/core/Filters/OverriddenShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[shadow]]",
"description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentSystemTiddlers": {
"title": "$:/core/Filters/RecentSystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentSystemTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentTiddlers": {
"title": "$:/core/Filters/RecentTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentTiddlers}}",
"text": ""
},
"$:/core/Filters/SessionTiddlers": {
"title": "$:/core/Filters/SessionTiddlers",
"tags": "$:/tags/Filter",
"filter": "[haschanged[]]",
"description": "{{$:/language/Filters/SessionTiddlers}}",
"text": ""
},
"$:/core/Filters/ShadowTiddlers": {
"title": "$:/core/Filters/ShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[all[shadows]sort[title]]",
"description": "{{$:/language/Filters/ShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/StoryList": {
"title": "$:/core/Filters/StoryList",
"tags": "$:/tags/Filter",
"filter": "[list[$:/StoryList]] -$:/AdvancedSearch",
"description": "{{$:/language/Filters/StoryList}}",
"text": ""
},
"$:/core/Filters/SystemTags": {
"title": "$:/core/Filters/SystemTags",
"tags": "$:/tags/Filter",
"filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTags}}",
"text": ""
},
"$:/core/Filters/SystemTiddlers": {
"title": "$:/core/Filters/SystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTiddlers}}",
"text": ""
},
"$:/core/Filters/TypedTiddlers": {
"title": "$:/core/Filters/TypedTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Filters/TypedTiddlers}}",
"text": ""
},
"$:/core/ui/ImportListing": {
"title": "$:/core/ui/ImportListing",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define messageField()\nmessage-$(payloadTiddler)$\n\\end\n\n\\define selectionField()\nselection-$(payloadTiddler)$\n\\end\n\n\\define previewPopupState()\n$(currentTiddler)$!!popup-$(payloadTiddler)$\n\\end\n\n\\define select-all-actions()\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n<table>\n<tbody>\n<tr>\n<th>\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\"/>\n</td>\n<td>\n<$reveal type=\"nomatch\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"yes\">\n{{$:/core/images/right-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"no\">\n{{$:/core/images/down-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n</td>\n</tr>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" stateTitle=<<previewPopupState>> tag=\"div\">\n<$list filter=\"[{$:/state/importpreviewtype}has[text]]\" variable=\"listItem\" emptyMessage={{$:/core/ui/ImportPreviews/Text}}>\n<$transclude tiddler={{$:/state/importpreviewtype}}/>\n</$list>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Diff": {
"title": "$:/core/ui/ImportPreviews/Diff",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Diff}}",
"text": "<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>>/>\n"
},
"$:/core/ui/ImportPreviews/DiffFields": {
"title": "$:/core/ui/ImportPreviews/DiffFields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/DiffFields}}",
"text": "<$macrocall $name=\"compareTiddlers\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>> exclude=\"text\"/>\n"
},
"$:/core/ui/ImportPreviews/Fields": {
"title": "$:/core/ui/ImportPreviews/Fields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Fields}}",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[<payloadTiddler>subtiddlerfields<currentTiddler>sort[]] -text\" variable=\"fieldName\">\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<fieldName>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<fieldName>> tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>>/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Text": {
"title": "$:/core/ui/ImportPreviews/Text",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Text}}",
"text": "<$transclude tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> mode=\"block\"/>\n"
},
"$:/core/ui/ImportPreviews/TextRaw": {
"title": "$:/core/ui/ImportPreviews/TextRaw",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/TextRaw}}",
"text": "<pre><code><$view tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> /></code></pre>"
},
"$:/core/ui/KeyboardShortcuts/advanced-search": {
"title": "$:/core/ui/KeyboardShortcuts/advanced-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((advanced-search))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\"/>\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-image": {
"title": "$:/core/ui/KeyboardShortcuts/new-image",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-image))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-image}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-journal": {
"title": "$:/core/ui/KeyboardShortcuts/new-journal",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-journal))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-journal}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-tiddler": {
"title": "$:/core/ui/KeyboardShortcuts/new-tiddler",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-tiddler))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-tiddler}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/sidebar-search": {
"title": "$:/core/ui/KeyboardShortcuts/sidebar-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((sidebar-search))",
"text": "<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n"
},
"$:/core/ui/KeyboardShortcut/toggle-sidebar": {
"title": "$:/core/ui/KeyboardShortcut/toggle-sidebar",
"tags": "$:/tags/KeyboardShortcut",
"key": "((toggle-sidebar))",
"text": "<$list filter=\"[[$:/state/sidebar]is[missing]] [{$:/state/sidebar}removeprefix[yes]]\" emptyMessage=\"\"\"\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"yes\"/>\n\"\"\">\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n</$list>\n"
},
"$:/core/ui/ListItemTemplate": {
"title": "$:/core/ui/ListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link />\n</div>"
},
"$:/Manager/ItemMain/Fields": {
"title": "$:/Manager/ItemMain/Fields",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/Fields}}",
"text": "<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/Manager/ItemMain/RawText": {
"title": "$:/Manager/ItemMain/RawText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/RawText}}",
"text": "<pre><code><$view/></code></pre>\n"
},
"$:/Manager/ItemMain/WikifiedText": {
"title": "$:/Manager/ItemMain/WikifiedText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/WikifiedText}}",
"text": "<$transclude mode=\"block\"/>\n"
},
"$:/Manager/ItemSidebar/Colour": {
"title": "$:/Manager/ItemSidebar/Colour",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Colour}}",
"text": "\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/> / <$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Icon": {
"title": "$:/Manager/ItemSidebar/Icon",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Icon}}",
"text": "<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall $name=\"image-picker-include-tagged-images\" actions=\"\"\"\n<$action-setfield $field=\"icon\" $value=<<imageTitle>>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/image-picker\">>/>\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tags": {
"title": "$:/Manager/ItemSidebar/Tags",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tags}}",
"text": "\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<p>\n<$list filter=\"[all[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tools": {
"title": "$:/Manager/ItemSidebar/Tools",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tools}}",
"text": "<p>\n<$button to=<<currentTiddler>>>{{$:/core/images/link}} open</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>{{$:/core/images/edit-button}} edit</$button>\n</p>\n"
},
"$:/Manager": {
"title": "$:/Manager",
"icon": "$:/core/images/list",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>> <$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>> <$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>> <$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>> <$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"
},
"$:/core/ui/MissingTemplate": {
"title": "$:/core/ui/MissingTemplate",
"text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
},
"$:/core/ui/MoreSideBar/All": {
"title": "$:/core/ui/MoreSideBar/All",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/All/Caption}}",
"text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Drafts": {
"title": "$:/core/ui/MoreSideBar/Drafts",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Drafts/Caption}}",
"text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Explorer": {
"title": "$:/core/ui/MoreSideBar/Explorer",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Explorer/Caption}}",
"text": "<<tree \"$:/\">>\n"
},
"$:/core/ui/MoreSideBar/Missing": {
"title": "$:/core/ui/MoreSideBar/Missing",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Missing/Caption}}",
"text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Orphans": {
"title": "$:/core/ui/MoreSideBar/Orphans",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Orphans/Caption}}",
"text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" \"$:/core/ui/MoreSideBar/Plugins/Plugins\">>\n"
},
"$:/core/ui/MoreSideBar/Recent": {
"title": "$:/core/ui/MoreSideBar/Recent",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/MoreSideBar/Shadows": {
"title": "$:/core/ui/MoreSideBar/Shadows",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Shadows/Caption}}",
"text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/System": {
"title": "$:/core/ui/MoreSideBar/System",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/System/Caption}}",
"text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Tags": {
"title": "$:/core/ui/MoreSideBar/Tags",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Tags/Caption}}",
"text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
},
"$:/core/ui/MoreSideBar/Types": {
"title": "$:/core/ui/MoreSideBar/Types",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Types/Caption}}",
"text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Languages": {
"title": "$:/core/ui/MoreSideBar/Plugins/Languages",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[language]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins/Plugins",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Theme": {
"title": "$:/core/ui/MoreSideBar/Plugins/Theme",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[theme]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/Buttons/advanced-search": {
"title": "$:/core/ui/Buttons/advanced-search",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
"description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/close-all": {
"title": "$:/core/ui/Buttons/close-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
"description": "{{$:/language/Buttons/CloseAll/Hint}}",
"text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/control-panel": {
"title": "$:/core/ui/Buttons/control-panel",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
"description": "{{$:/language/Buttons/ControlPanel/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/encryption": {
"title": "$:/core/ui/Buttons/encryption",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
"description": "{{$:/language/Buttons/Encryption/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/export-page": {
"title": "$:/core/ui/Buttons/export-page",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
"description": "{{$:/language/Buttons/ExportPage/Hint}}",
"text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
},
"$:/core/ui/Buttons/fold-all": {
"title": "$:/core/ui/Buttons/fold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
"description": "{{$:/language/Buttons/FoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/full-screen": {
"title": "$:/core/ui/Buttons/full-screen",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
"description": "{{$:/language/Buttons/FullScreen/Hint}}",
"text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/home": {
"title": "$:/core/ui/Buttons/home",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
"description": "{{$:/language/Buttons/Home/Hint}}",
"text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/import": {
"title": "$:/core/ui/Buttons/import",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
"description": "{{$:/language/Buttons/Import/Hint}}",
"text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
},
"$:/core/ui/Buttons/language": {
"title": "$:/core/ui/Buttons/language",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
"description": "{{$:/language/Buttons/Language/Hint}}",
"text": "\\whitespace trim\n\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/languageswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/manager": {
"title": "$:/core/ui/Buttons/manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}",
"description": "{{$:/language/Buttons/Manager/Hint}}",
"text": "\\whitespace trim\n\\define manager-button(class)\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Manager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/more-page-actions": {
"title": "$:/core/ui/Buttons/more-page-actions",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-image": {
"title": "$:/core/ui/Buttons/new-image",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}",
"description": "{{$:/language/Buttons/NewImage/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-image}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewImage/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/new-journal": {
"title": "$:/core/ui/Buttons/new-journal",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
"description": "{{$:/language/Buttons/NewJournal/Hint}}",
"text": "\\whitespace trim\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-journal}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<<journalButton>>\n"
},
"$:/core/ui/Buttons/new-tiddler": {
"title": "$:/core/ui/Buttons/new-tiddler",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
"description": "{{$:/language/Buttons/NewTiddler/Hint}}",
"text": "\\whitespace trim\n<$button actions={{$:/core/ui/Actions/new-tiddler}} tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/palette": {
"title": "$:/core/ui/Buttons/palette",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
"description": "{{$:/language/Buttons/Palette/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/print": {
"title": "$:/core/ui/Buttons/print",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}",
"description": "{{$:/language/Buttons/Print/Hint}}",
"text": "<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Print/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/refresh": {
"title": "$:/core/ui/Buttons/refresh",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
"description": "{{$:/language/Buttons/Refresh/Hint}}",
"text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save-wiki": {
"title": "$:/core/ui/Buttons/save-wiki",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
"description": "{{$:/language/Buttons/SaveWiki/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
},
"$:/core/ui/Buttons/storyview": {
"title": "$:/core/ui/Buttons/storyview",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
"description": "{{$:/language/Buttons/StoryView/Hint}}",
"text": "\\whitespace trim\n\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/viewswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/tag-manager": {
"title": "$:/core/ui/Buttons/tag-manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
"description": "{{$:/language/Buttons/TagManager/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/theme": {
"title": "$:/core/ui/Buttons/theme",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
"description": "{{$:/language/Buttons/Theme/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n{{$:/snippets/themeswitcher}}\n</$linkcatcher>\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/timestamp": {
"title": "$:/core/ui/Buttons/timestamp",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}",
"description": "{{$:/language/Buttons/Timestamp/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/On/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/unfold-all": {
"title": "$:/core/ui/Buttons/unfold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
"description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/PageTemplate/pagecontrols": {
"title": "$:/core/ui/PageTemplate/pagecontrols",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n</div>\n"
},
"$:/core/ui/PageStylesheet": {
"title": "$:/core/ui/PageStylesheet",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/PageTemplate/alerts": {
"title": "$:/core/ui/PageTemplate/alerts",
"tags": "$:/tags/PageTemplate",
"text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
},
"$:/core/ui/PageTemplate/drafts": {
"title": "$:/core/ui/PageTemplate/drafts",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<$reveal state=\"$:/status/IsReadOnly\" type=\"nomatch\" text=\"yes\" tag=\"div\" class=\"tc-drafts-list\">\n<$list filter=\"[has[draft.of]!sort[modified]] -[list[$:/StoryList]]\">\n<$link>\n{{$:/core/images/edit-button}} <$text text=<<currentTiddler>>/>\n</$link>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/PageTemplate/pluginreloadwarning": {
"title": "$:/core/ui/PageTemplate/pluginreloadwarning",
"tags": "$:/tags/PageTemplate",
"text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[{$:/status/RequireReloadDueToPluginChange}match[yes]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/PageTemplate/sidebar": {
"title": "$:/core/ui/PageTemplate/sidebar",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\" tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
},
"$:/core/ui/PageTemplate/story": {
"title": "$:/core/ui/PageTemplate/story",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template={{$:/config/ui/ViewTemplate}} editTemplate={{$:/config/ui/EditTemplate}} storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
},
"$:/core/ui/PageTemplate/topleftbar": {
"title": "$:/core/ui/PageTemplate/topleftbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate/toprightbar": {
"title": "$:/core/ui/PageTemplate/toprightbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate": {
"title": "$:/core/ui/PageTemplate",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-enable-drag-and-drop\" value={{$:/config/DragAndDrop/Enable}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone enable=<<tv-enable-drag-and-drop>>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/PaletteManager": {
"title": "$:/PaletteManager",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n\\define edit-colour-placeholder()\n edit $(colourName)$\n\\end\n\\define colour-tooltip(showhide) $showhide$ editor for $(newColourName)$ \n\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define delete-colour-index-actions() <$action-setfield $index=<<colourName>>/>\n\\define palette-manager-colour-row-segment()\n\\whitespace trim\n<$edit-text index=<<colourName>> tag=\"input\" placeholder=<<edit-colour-placeholder>> default=\"\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\" class=\"tc-palette-manager-colour-input\"/>\n<$list filter=\"[<currentTiddler>getindex<colourName>removeprefix[<<]removesuffix[>>]] [<currentTiddler>getindex<colourName>removeprefix[<$]removesuffix[/>]]\" variable=\"ignore\">\n<$set name=\"state\" value={{{ [[$:/state/palettemanager/]addsuffix<currentTiddler>addsuffix[/]addsuffix<colourName>] }}}>\n<$wikify name=\"newColourName\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall={{{ [<currentTiddler>getindex<colourName>] }}}/>\"\"\">\n<$reveal state=<<state>> type=\"nomatch\" text=\"show\">\n<$button tooltip=<<colour-tooltip show>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" set=<<state>> setTo=\"show\">{{$:/core/images/down-arrow}} <$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$button tooltip=<<colour-tooltip hide>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" actions=\"\"\"<$action-deletetiddler $tiddler=<<state>>/>\"\"\">{{$:/core/images/up-arrow}} <$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$set name=\"colourName\" value=<<newColourName>>>\n<br>\n<<palette-manager-colour-row-segment>>\n<br><br>\n</$set>\n</$reveal>\n</$wikify>\n</$set>\n</$list>\n\\end\n\\define palette-manager-colour-row()\n\\whitespace trim\n<tr>\n<td>\n<span style=\"float:right;\">\n<$button tooltip=<<lingo Delete/Hint>> aria-label=<<lingo Delete/Hint>> class=\"tc-btn-invisible\" actions=<<delete-colour-index-actions>>>\n{{$:/core/images/delete-button}}</$button>\n</span>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<<palette-manager-colour-row-segment>>\n</td>\n</tr>\n\\end\n\\define palette-manager-table()\n\\whitespace trim\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]indexes[]]\" variable=\"colourName\">\n<$list filter=\"[<currentTiddler>indexes[]removeprefix<colourName>suffix[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[{$:/state/palettemanager/showexternal}removeprefix[yes]suffix[]]\" variable=\"ignore\">\n<<palette-manager-colour-row>>\n</$list>\n\"\"\">\n<<palette-manager-colour-row>>\n</$list>\n</$list>\n</tbody>\n</table>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<$checkbox tiddler=\"$:/state/palettemanager/showexternal\" field=\"text\" checked=\"yes\" unchecked=\"no\"> <<lingo Names/External/Show>></$checkbox>\n\n<<palette-manager-table>>\n"
},
"$:/core/ui/PluginInfo": {
"title": "$:/core/ui/PluginInfo",
"text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"
},
"$:/core/ui/PluginInfo/Default/contents": {
"title": "$:/core/ui/PluginInfo/Default/contents",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link />\n</li>\n</$list>\n</ul>\n"
},
"$:/core/ui/PluginListItemTemplate": {
"title": "$:/core/ui/PluginListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}><$view field=\"description\"><$view field=\"title\"/></$view></$link>\n</div>"
},
"$:/core/ui/SearchResults": {
"title": "$:/core/ui/SearchResults",
"text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n\n</$list>\n\n</div>\n"
},
"$:/core/ui/SideBar/More": {
"title": "$:/core/ui/SideBar/More",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/More/Caption}}",
"text": "<div class=\"tc-more-sidebar\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" default={{$:/config/DefaultMoreSidebarTab}} state=\"$:/state/tab/moresidebar\" class=\"tc-vertical tc-sidebar-tabs-more\" />\n</div>"
},
"$:/core/ui/SideBar/Open": {
"title": "$:/core/ui/SideBar/Open",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Open/Caption}}",
"text": "\\whitespace trim\n\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=<<tv-story-list>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define placeholder()\n<div class=\"tc-droppable-placeholder\"/>\n\\end\n\n\\define droppable-item(button)\n\\whitespace trim\n<$droppable actions=<<drop-actions>> enable=<<tv-allow-drag-and-drop>>>\n<<placeholder>>\n<div>\n$button$\n</div>\n</$droppable>\n\\end\n\n<div class=\"tc-sidebar-tab-open\">\n<$list filter=\"[list<tv-story-list>]\" history=<<tv-history-list>> storyview=\"pop\">\n<div class=\"tc-sidebar-tab-open-item\">\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini\">{{$:/core/images/close-button}}</$button> <$link to={{!!title}}><$view field=\"title\"/></$link>\"\"\"/>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<div>\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\"\"\"/>\n</div>\n</$tiddler>\n</div>\n"
},
"$:/core/ui/SideBar/Recent": {
"title": "$:/core/ui/SideBar/Recent",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/SideBar/Tools": {
"title": "$:/core/ui/SideBar/Tools",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/SideBarLists": {
"title": "$:/core/ui/SideBarLists",
"text": "<$transclude tiddler=\"$:/core/ui/SideBarSegments/search\"/>\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\"/>\n\n"
},
"$:/core/ui/SideBarSegments/page-controls": {
"title": "$:/core/ui/SideBarSegments/page-controls",
"tags": "$:/tags/SideBarSegment",
"text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
},
"$:/core/ui/SideBarSegments/search": {
"title": "$:/core/ui/SideBarSegments/search",
"tags": "$:/tags/SideBarSegment",
"text": "\\whitespace trim\n<div class=\"tc-sidebar-lists tc-sidebar-search\">\n\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"searchTerm\" value={{{ [<searchTiddler>get[text]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search<searchTerm>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$set>\n</$list>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n{{$:/core/ui/SearchResults}}\n\n</$list>\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-subtitle": {
"title": "$:/core/ui/SideBarSegments/site-subtitle",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-title": {
"title": "$:/core/ui/SideBarSegments/site-title",
"tags": "$:/tags/SideBarSegment",
"text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
},
"$:/core/ui/SideBarSegments/tabs": {
"title": "$:/core/ui/SideBarSegments/tabs",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-sidebar-lists tc-sidebar-tabs\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"tc-sidebar-tabs-main\"/>\n\n</div>\n"
},
"$:/TagManager": {
"title": "$:/TagManager",
"icon": "$:/core/images/tag-button",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n\\whitespace trim\n<$link to=\"\"><<lingo Icons/None>></$link>\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n\\whitespace trim\n<div class=\"tc-drop-down-wrapper\">\n<$button popupTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal stateTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=<<__title__>> icon=<<navigateTo>>/>\"\"\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define toggleButton(state)\n\\whitespace trim\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"closed\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"open\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n\\whitespace trim\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td>{{||$:/core/ui/TagTemplate}}</td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal stateTitle={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td style=\"position:relative;\">\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
},
"$:/core/ui/TagTemplate": {
"title": "$:/core/ui/TagTemplate",
"text": "\\whitespace trim\n<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<hr>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n"
},
"$:/core/ui/TiddlerFieldTemplate": {
"title": "$:/core/ui/TiddlerFieldTemplate",
"text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
},
"$:/core/ui/TiddlerFields": {
"title": "$:/core/ui/TiddlerFields",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
},
"$:/core/ui/TiddlerInfo/Advanced": {
"title": "$:/core/ui/TiddlerInfo/Advanced",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Fields": {
"title": "$:/core/ui/TiddlerInfo/Fields",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
"text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
},
"$:/core/ui/TiddlerInfo/List": {
"title": "$:/core/ui/TiddlerInfo/List",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/List/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Listed": {
"title": "$:/core/ui/TiddlerInfo/Listed",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/References": {
"title": "$:/core/ui/TiddlerInfo/References",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/References/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>"
},
"$:/core/ui/TiddlerInfo/Tagging": {
"title": "$:/core/ui/TiddlerInfo/Tagging",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Tools": {
"title": "$:/core/ui/TiddlerInfo/Tools",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/TiddlerInfo": {
"title": "$:/core/ui/TiddlerInfo",
"text": "<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>"
},
"$:/core/ui/TopBar/menu": {
"title": "$:/core/ui/TopBar/menu",
"tags": "$:/tags/TopRightBar",
"text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
},
"$:/core/ui/UntaggedTemplate": {
"title": "$:/core/ui/UntaggedTemplate",
"text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/body": {
"title": "$:/core/ui/ViewTemplate/body",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/classic": {
"title": "$:/core/ui/ViewTemplate/classic",
"tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/import": {
"title": "$:/core/ui/ViewTemplate/import",
"tags": "$:/tags/ViewTemplate",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define buttons()\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n<<lingo Listing/Preview>> <$select tiddler=\"$:/state/importpreviewtype\" default=\"$:/core/ui/ImportPreviews/Text\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ImportPreview]!has[draft.of]]\">\n<option value=<<currentTiddler>>>{{!!caption}}</option>\n</$list>\n</$select>\n\\end\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<<buttons>>\n\n{{||$:/core/ui/ImportListing}}\n\n<<buttons>>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ViewTemplate/plugin": {
"title": "$:/core/ui/ViewTemplate/plugin",
"tags": "$:/tags/ViewTemplate",
"text": "<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n<$set name=\"plugin-type\" value={{!!plugin-type}}>\n<$set name=\"default-popup-state\" value=\"yes\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n{{||$:/core/ui/Components/plugin-info}}\n</$set>\n</$set>\n</$set>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/subtitle": {
"title": "$:/core/ui/ViewTemplate/subtitle",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}} />\n<$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/tags": {
"title": "$:/core/ui/ViewTemplate/tags",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/title": {
"title": "$:/core/ui/ViewTemplate/title",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}>\n<$transclude tiddler={{$:/config/DefaultTiddlerIcon}}/>\n</$transclude>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>"
},
"$:/core/ui/ViewTemplate/unfold": {
"title": "$:/core/ui/ViewTemplate/unfold",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate": {
"title": "$:/core/ui/ViewTemplate",
"text": "\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$vars storyTiddler=<<currentTiddler>> tiddlerInfoState=<<qualify \"$:/state/popup/tiddler-info\">>><div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-view-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[shadow]is[tiddler]then[tc-tiddler-overridden-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$vars>\n"
},
"$:/core/ui/Buttons/clone": {
"title": "$:/core/ui/Buttons/clone",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
"description": "{{$:/language/Buttons/Clone/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close-others": {
"title": "$:/core/ui/Buttons/close-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
"description": "{{$:/language/Buttons/CloseOthers/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close": {
"title": "$:/core/ui/Buttons/close",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
"description": "{{$:/language/Buttons/Close/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/edit": {
"title": "$:/core/ui/Buttons/edit",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
"description": "{{$:/language/Buttons/Edit/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/export-tiddler": {
"title": "$:/core/ui/Buttons/export-tiddler",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
"description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
"text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
},
"$:/core/ui/Buttons/fold-bar": {
"title": "$:/core/ui/Buttons/fold-bar",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}",
"description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
"text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
},
"$:/core/ui/Buttons/fold-others": {
"title": "$:/core/ui/Buttons/fold-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
"description": "{{$:/language/Buttons/FoldOthers/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/fold": {
"title": "$:/core/ui/Buttons/fold",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
"description": "{{$:/language/Buttons/Fold/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/info": {
"title": "$:/core/ui/Buttons/info",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
"description": "{{$:/language/Buttons/Info/Hint}}",
"text": "\\whitespace trim\n\\define button-content()\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"
},
"$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/core/ui/Buttons/more-tiddler-actions",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-here": {
"title": "$:/core/ui/Buttons/new-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
"description": "{{$:/language/Buttons/NewHere/Hint}}",
"text": "\\whitespace trim\n\\define newHereActions()\n<$set name=\"tags\" filter=\"[<currentTiddler>] [{$:/config/NewTiddler/Tags!!tags}]\">\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<tags>>/>\n</$set>\n\\end\n\\define newHereButton()\n<$button actions=<<newHereActions>> tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>\n"
},
"$:/core/ui/Buttons/new-journal-here": {
"title": "$:/core/ui/Buttons/new-journal-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
"description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
"text": "\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$wikify>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags!!tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>\n"
},
"$:/core/ui/Buttons/open-window": {
"title": "$:/core/ui/Buttons/open-window",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
"description": "{{$:/language/Buttons/OpenWindow/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permalink": {
"title": "$:/core/ui/Buttons/permalink",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
"description": "{{$:/language/Buttons/Permalink/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permaview": {
"title": "$:/core/ui/Buttons/permaview",
"tags": "$:/tags/ViewToolbar $:/tags/PageControls",
"caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
"description": "{{$:/language/Buttons/Permaview/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/DefaultTiddlers": {
"title": "$:/DefaultTiddlers",
"text": "GettingStarted\n"
},
"$:/temp/advancedsearch": {
"title": "$:/temp/advancedsearch",
"text": ""
},
"$:/snippets/allfields": {
"title": "$:/snippets/allfields",
"text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
},
"$:/config/AnimationDuration": {
"title": "$:/config/AnimationDuration",
"text": "400"
},
"$:/config/AutoFocus": {
"title": "$:/config/AutoFocus",
"text": "title"
},
"$:/config/AutoSave": {
"title": "$:/config/AutoSave",
"text": "yes"
},
"$:/config/BitmapEditor/Colour": {
"title": "$:/config/BitmapEditor/Colour",
"text": "#444"
},
"$:/config/BitmapEditor/ImageSizes": {
"title": "$:/config/BitmapEditor/ImageSizes",
"text": "[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"
},
"$:/config/BitmapEditor/LineWidth": {
"title": "$:/config/BitmapEditor/LineWidth",
"text": "3px"
},
"$:/config/BitmapEditor/LineWidths": {
"title": "$:/config/BitmapEditor/LineWidths",
"text": "0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"
},
"$:/config/BitmapEditor/Opacities": {
"title": "$:/config/BitmapEditor/Opacities",
"text": "0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
},
"$:/config/BitmapEditor/Opacity": {
"title": "$:/config/BitmapEditor/Opacity",
"text": "1.0"
},
"$:/config/DefaultMoreSidebarTab": {
"title": "$:/config/DefaultMoreSidebarTab",
"text": "$:/core/ui/MoreSideBar/Tags"
},
"$:/config/DefaultSidebarTab": {
"title": "$:/config/DefaultSidebarTab",
"text": "$:/core/ui/SideBar/Open"
},
"$:/config/DownloadSaver/AutoSave": {
"title": "$:/config/DownloadSaver/AutoSave",
"text": "no"
},
"$:/config/Drafts/TypingTimeout": {
"title": "$:/config/Drafts/TypingTimeout",
"text": "400"
},
"$:/config/EditTemplateFields/Visibility/title": {
"title": "$:/config/EditTemplateFields/Visibility/title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/tags": {
"title": "$:/config/EditTemplateFields/Visibility/tags",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/text": {
"title": "$:/config/EditTemplateFields/Visibility/text",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/creator": {
"title": "$:/config/EditTemplateFields/Visibility/creator",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/created": {
"title": "$:/config/EditTemplateFields/Visibility/created",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modified": {
"title": "$:/config/EditTemplateFields/Visibility/modified",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modifier": {
"title": "$:/config/EditTemplateFields/Visibility/modifier",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/type": {
"title": "$:/config/EditTemplateFields/Visibility/type",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.title": {
"title": "$:/config/EditTemplateFields/Visibility/draft.title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.of": {
"title": "$:/config/EditTemplateFields/Visibility/draft.of",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/revision": {
"title": "$:/config/EditTemplateFields/Visibility/revision",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/bag": {
"title": "$:/config/EditTemplateFields/Visibility/bag",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6",
"text": "hide"
},
"$:/config/EditorTypeMappings/image/gif": {
"title": "$:/config/EditorTypeMappings/image/gif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/webp": {
"title": "$:/config/EditorTypeMappings/image/webp",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heic": {
"title": "$:/config/EditorTypeMappings/image/heic",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heif": {
"title": "$:/config/EditorTypeMappings/image/heif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpeg": {
"title": "$:/config/EditorTypeMappings/image/jpeg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpg": {
"title": "$:/config/EditorTypeMappings/image/jpg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/png": {
"title": "$:/config/EditorTypeMappings/image/png",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/x-icon": {
"title": "$:/config/EditorTypeMappings/image/x-icon",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
"title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
"text": "text"
},
"$:/config/Manager/Show": {
"title": "$:/config/Manager/Show",
"text": "tiddlers"
},
"$:/config/Manager/Filter": {
"title": "$:/config/Manager/Filter",
"text": ""
},
"$:/config/Manager/Order": {
"title": "$:/config/Manager/Order",
"text": "forward"
},
"$:/config/Manager/Sort": {
"title": "$:/config/Manager/Sort",
"text": "title"
},
"$:/config/Manager/System": {
"title": "$:/config/Manager/System",
"text": "system"
},
"$:/config/Manager/Tag": {
"title": "$:/config/Manager/Tag",
"text": ""
},
"$:/state/popup/manager/item/$:/Manager/ItemMain/RawText": {
"title": "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText",
"text": "hide"
},
"$:/config/MissingLinks": {
"title": "$:/config/MissingLinks",
"text": "yes"
},
"$:/config/Navigation/UpdateAddressBar": {
"title": "$:/config/Navigation/UpdateAddressBar",
"text": "no"
},
"$:/config/Navigation/UpdateHistory": {
"title": "$:/config/Navigation/UpdateHistory",
"text": "no"
},
"$:/config/NewImageType": {
"title": "$:/config/NewImageType",
"text": "jpeg"
},
"$:/config/OfficialPluginLibrary": {
"title": "$:/config/OfficialPluginLibrary",
"tags": "$:/tags/PluginLibrary",
"url": "https://tiddlywiki.com/library/v5.1.22/index.html",
"caption": "{{$:/language/OfficialPluginLibrary}}",
"text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
},
"$:/config/Navigation/openLinkFromInsideRiver": {
"title": "$:/config/Navigation/openLinkFromInsideRiver",
"text": "below"
},
"$:/config/Navigation/openLinkFromOutsideRiver": {
"title": "$:/config/Navigation/openLinkFromOutsideRiver",
"text": "top"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
"text": "hide"
},
"$:/config/Performance/Instrumentation": {
"title": "$:/config/Performance/Instrumentation",
"text": "no"
},
"$:/config/RegisterPluginType/plugin": {
"title": "$:/config/RegisterPluginType/plugin",
"text": "yes"
},
"$:/config/RegisterPluginType/theme": {
"title": "$:/config/RegisterPluginType/theme",
"text": "no"
},
"$:/config/RegisterPluginType/language": {
"title": "$:/config/RegisterPluginType/language",
"text": "no"
},
"$:/config/RegisterPluginType/info": {
"title": "$:/config/RegisterPluginType/info",
"text": "no"
},
"$:/config/RegisterPluginType/import": {
"title": "$:/config/RegisterPluginType/import",
"text": "no"
},
"$:/config/SaveWikiButton/Template": {
"title": "$:/config/SaveWikiButton/Template",
"text": "$:/core/save/all"
},
"$:/config/SaverFilter": {
"title": "$:/config/SaverFilter",
"text": "[all[]] -[[$:/HistoryList]] -[[$:/StoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Search/AutoFocus": {
"title": "$:/config/Search/AutoFocus",
"text": "true"
},
"$:/config/Search/MinLength": {
"title": "$:/config/Search/MinLength",
"text": "3"
},
"$:/config/SearchResults/Default": {
"title": "$:/config/SearchResults/Default",
"text": "$:/core/ui/DefaultSearchResultList"
},
"$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]": {
"title": "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]",
"text": "yes"
},
"$:/config/ShortcutInfo/add-field": {
"title": "$:/config/ShortcutInfo/add-field",
"text": "{{$:/language/EditTemplate/Fields/Add/Button/Hint}}"
},
"$:/config/ShortcutInfo/advanced-search": {
"title": "$:/config/ShortcutInfo/advanced-search",
"text": "{{$:/language/Buttons/AdvancedSearch/Hint}}"
},
"$:/config/ShortcutInfo/bold": {
"title": "$:/config/ShortcutInfo/bold",
"text": "{{$:/language/Buttons/Bold/Hint}}"
},
"$:/config/ShortcutInfo/cancel-edit-tiddler": {
"title": "$:/config/ShortcutInfo/cancel-edit-tiddler",
"text": "{{$:/language/Buttons/Cancel/Hint}}"
},
"$:/config/ShortcutInfo/excise": {
"title": "$:/config/ShortcutInfo/excise",
"text": "{{$:/language/Buttons/Excise/Hint}}"
},
"$:/config/ShortcutInfo/heading-1": {
"title": "$:/config/ShortcutInfo/heading-1",
"text": "{{$:/language/Buttons/Heading1/Hint}}"
},
"$:/config/ShortcutInfo/heading-2": {
"title": "$:/config/ShortcutInfo/heading-2",
"text": "{{$:/language/Buttons/Heading2/Hint}}"
},
"$:/config/ShortcutInfo/heading-3": {
"title": "$:/config/ShortcutInfo/heading-3",
"text": "{{$:/language/Buttons/Heading3/Hint}}"
},
"$:/config/ShortcutInfo/heading-4": {
"title": "$:/config/ShortcutInfo/heading-4",
"text": "{{$:/language/Buttons/Heading4/Hint}}"
},
"$:/config/ShortcutInfo/heading-5": {
"title": "$:/config/ShortcutInfo/heading-5",
"text": "{{$:/language/Buttons/Heading5/Hint}}"
},
"$:/config/ShortcutInfo/heading-6": {
"title": "$:/config/ShortcutInfo/heading-6",
"text": "{{$:/language/Buttons/Heading6/Hint}}"
},
"$:/config/ShortcutInfo/italic": {
"title": "$:/config/ShortcutInfo/italic",
"text": "{{$:/language/Buttons/Italic/Hint}}"
},
"$:/config/ShortcutInfo/link": {
"title": "$:/config/ShortcutInfo/link",
"text": "{{$:/language/Buttons/Link/Hint}}"
},
"$:/config/ShortcutInfo/list-bullet": {
"title": "$:/config/ShortcutInfo/list-bullet",
"text": "{{$:/language/Buttons/ListBullet/Hint}}"
},
"$:/config/ShortcutInfo/list-number": {
"title": "$:/config/ShortcutInfo/list-number",
"text": "{{$:/language/Buttons/ListNumber/Hint}}"
},
"$:/config/ShortcutInfo/mono-block": {
"title": "$:/config/ShortcutInfo/mono-block",
"text": "{{$:/language/Buttons/MonoBlock/Hint}}"
},
"$:/config/ShortcutInfo/mono-line": {
"title": "$:/config/ShortcutInfo/mono-line",
"text": "{{$:/language/Buttons/MonoLine/Hint}}"
},
"$:/config/ShortcutInfo/new-image": {
"title": "$:/config/ShortcutInfo/new-image",
"text": "{{$:/language/Buttons/NewImage/Hint}}"
},
"$:/config/ShortcutInfo/new-journal": {
"title": "$:/config/ShortcutInfo/new-journal",
"text": "{{$:/language/Buttons/NewJournal/Hint}}"
},
"$:/config/ShortcutInfo/new-tiddler": {
"title": "$:/config/ShortcutInfo/new-tiddler",
"text": "{{$:/language/Buttons/NewTiddler/Hint}}"
},
"$:/config/ShortcutInfo/picture": {
"title": "$:/config/ShortcutInfo/picture",
"text": "{{$:/language/Buttons/Picture/Hint}}"
},
"$:/config/ShortcutInfo/preview": {
"title": "$:/config/ShortcutInfo/preview",
"text": "{{$:/language/Buttons/Preview/Hint}}"
},
"$:/config/ShortcutInfo/quote": {
"title": "$:/config/ShortcutInfo/quote",
"text": "{{$:/language/Buttons/Quote/Hint}}"
},
"$:/config/ShortcutInfo/save-tiddler": {
"title": "$:/config/ShortcutInfo/save-tiddler",
"text": "{{$:/language/Buttons/Save/Hint}}"
},
"$:/config/ShortcutInfo/sidebar-search": {
"title": "$:/config/ShortcutInfo/sidebar-search",
"text": "{{$:/language/Buttons/SidebarSearch/Hint}}"
},
"$:/config/ShortcutInfo/stamp": {
"title": "$:/config/ShortcutInfo/stamp",
"text": "{{$:/language/Buttons/Stamp/Hint}}"
},
"$:/config/ShortcutInfo/strikethrough": {
"title": "$:/config/ShortcutInfo/strikethrough",
"text": "{{$:/language/Buttons/Strikethrough/Hint}}"
},
"$:/config/ShortcutInfo/subscript": {
"title": "$:/config/ShortcutInfo/subscript",
"text": "{{$:/language/Buttons/Subscript/Hint}}"
},
"$:/config/ShortcutInfo/superscript": {
"title": "$:/config/ShortcutInfo/superscript",
"text": "{{$:/language/Buttons/Superscript/Hint}}"
},
"$:/config/ShortcutInfo/toggle-sidebar": {
"title": "$:/config/ShortcutInfo/toggle-sidebar",
"text": "{{$:/language/Buttons/ToggleSidebar/Hint}}"
},
"$:/config/ShortcutInfo/underline": {
"title": "$:/config/ShortcutInfo/underline",
"text": "{{$:/language/Buttons/Underline/Hint}}"
},
"$:/config/SyncFilter": {
"title": "$:/config/SyncFilter",
"text": "[is[tiddler]] -[[$:/HistoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Tags/MinLength": {
"title": "$:/config/Tags/MinLength",
"text": "0"
},
"$:/config/TextEditor/EditorHeight/Height": {
"title": "$:/config/TextEditor/EditorHeight/Height",
"text": "400px"
},
"$:/config/TextEditor/EditorHeight/Mode": {
"title": "$:/config/TextEditor/EditorHeight/Mode",
"text": "auto"
},
"$:/config/TiddlerInfo/Default": {
"title": "$:/config/TiddlerInfo/Default",
"text": "$:/core/ui/TiddlerInfo/Fields"
},
"$:/config/TiddlerInfo/Mode": {
"title": "$:/config/TiddlerInfo/Mode",
"text": "popup"
},
"$:/config/Tiddlers/TitleLinks": {
"title": "$:/config/Tiddlers/TitleLinks",
"text": "no"
},
"$:/config/Toolbar/ButtonClass": {
"title": "$:/config/Toolbar/ButtonClass",
"text": "tc-btn-invisible"
},
"$:/config/Toolbar/Icons": {
"title": "$:/config/Toolbar/Icons",
"text": "yes"
},
"$:/config/Toolbar/Text": {
"title": "$:/config/Toolbar/Text",
"text": "no"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
"text": "show"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
"text": "hide"
},
"$:/config/shortcuts-mac/bold": {
"title": "$:/config/shortcuts-mac/bold",
"text": "meta-B"
},
"$:/config/shortcuts-mac/italic": {
"title": "$:/config/shortcuts-mac/italic",
"text": "meta-I"
},
"$:/config/shortcuts-mac/underline": {
"title": "$:/config/shortcuts-mac/underline",
"text": "meta-U"
},
"$:/config/shortcuts-mac/new-image": {
"title": "$:/config/shortcuts-mac/new-image",
"text": "ctrl-I"
},
"$:/config/shortcuts-mac/new-journal": {
"title": "$:/config/shortcuts-mac/new-journal",
"text": "ctrl-J"
},
"$:/config/shortcuts-mac/new-tiddler": {
"title": "$:/config/shortcuts-mac/new-tiddler",
"text": "ctrl-N"
},
"$:/config/shortcuts-not-mac/bold": {
"title": "$:/config/shortcuts-not-mac/bold",
"text": "ctrl-B"
},
"$:/config/shortcuts-not-mac/italic": {
"title": "$:/config/shortcuts-not-mac/italic",
"text": "ctrl-I"
},
"$:/config/shortcuts-not-mac/underline": {
"title": "$:/config/shortcuts-not-mac/underline",
"text": "ctrl-U"
},
"$:/config/shortcuts-not-mac/new-image": {
"title": "$:/config/shortcuts-not-mac/new-image",
"text": "alt-I"
},
"$:/config/shortcuts-not-mac/new-journal": {
"title": "$:/config/shortcuts-not-mac/new-journal",
"text": "alt-J"
},
"$:/config/shortcuts-not-mac/new-tiddler": {
"title": "$:/config/shortcuts-not-mac/new-tiddler",
"text": "alt-N"
},
"$:/config/shortcuts/add-field": {
"title": "$:/config/shortcuts/add-field",
"text": "enter"
},
"$:/config/shortcuts/advanced-search": {
"title": "$:/config/shortcuts/advanced-search",
"text": "ctrl-shift-A"
},
"$:/config/shortcuts/cancel-edit-tiddler": {
"title": "$:/config/shortcuts/cancel-edit-tiddler",
"text": "escape"
},
"$:/config/shortcuts/excise": {
"title": "$:/config/shortcuts/excise",
"text": "ctrl-E"
},
"$:/config/shortcuts/sidebar-search": {
"title": "$:/config/shortcuts/sidebar-search",
"text": "ctrl-shift-F"
},
"$:/config/shortcuts/heading-1": {
"title": "$:/config/shortcuts/heading-1",
"text": "ctrl-1"
},
"$:/config/shortcuts/heading-2": {
"title": "$:/config/shortcuts/heading-2",
"text": "ctrl-2"
},
"$:/config/shortcuts/heading-3": {
"title": "$:/config/shortcuts/heading-3",
"text": "ctrl-3"
},
"$:/config/shortcuts/heading-4": {
"title": "$:/config/shortcuts/heading-4",
"text": "ctrl-4"
},
"$:/config/shortcuts/heading-5": {
"title": "$:/config/shortcuts/heading-5",
"text": "ctrl-5"
},
"$:/config/shortcuts/heading-6": {
"title": "$:/config/shortcuts/heading-6",
"text": "ctrl-6"
},
"$:/config/shortcuts/link": {
"title": "$:/config/shortcuts/link",
"text": "ctrl-L"
},
"$:/config/shortcuts/linkify": {
"title": "$:/config/shortcuts/linkify",
"text": "alt-shift-L"
},
"$:/config/shortcuts/list-bullet": {
"title": "$:/config/shortcuts/list-bullet",
"text": "ctrl-shift-L"
},
"$:/config/shortcuts/list-number": {
"title": "$:/config/shortcuts/list-number",
"text": "ctrl-shift-N"
},
"$:/config/shortcuts/mono-block": {
"title": "$:/config/shortcuts/mono-block",
"text": "ctrl-shift-M"
},
"$:/config/shortcuts/mono-line": {
"title": "$:/config/shortcuts/mono-line",
"text": "ctrl-M"
},
"$:/config/shortcuts/picture": {
"title": "$:/config/shortcuts/picture",
"text": "ctrl-shift-I"
},
"$:/config/shortcuts/preview": {
"title": "$:/config/shortcuts/preview",
"text": "alt-P"
},
"$:/config/shortcuts/quote": {
"title": "$:/config/shortcuts/quote",
"text": "ctrl-Q"
},
"$:/config/shortcuts/save-tiddler": {
"title": "$:/config/shortcuts/save-tiddler",
"text": "ctrl+enter"
},
"$:/config/shortcuts/stamp": {
"title": "$:/config/shortcuts/stamp",
"text": "ctrl-S"
},
"$:/config/shortcuts/strikethrough": {
"title": "$:/config/shortcuts/strikethrough",
"text": "ctrl-T"
},
"$:/config/shortcuts/subscript": {
"title": "$:/config/shortcuts/subscript",
"text": "ctrl-shift-B"
},
"$:/config/shortcuts/superscript": {
"title": "$:/config/shortcuts/superscript",
"text": "ctrl-shift-P"
},
"$:/config/shortcuts/toggle-sidebar": {
"title": "$:/config/shortcuts/toggle-sidebar",
"text": "alt-shift-S"
},
"$:/config/shortcuts/transcludify": {
"title": "$:/config/shortcuts/transcludify",
"text": "alt-shift-T"
},
"$:/config/ui/EditTemplate": {
"title": "$:/config/ui/EditTemplate",
"text": "$:/core/ui/EditTemplate"
},
"$:/config/ui/ViewTemplate": {
"title": "$:/config/ui/ViewTemplate",
"text": "$:/core/ui/ViewTemplate"
},
"$:/config/WikiParserRules/Inline/wikilink": {
"title": "$:/config/WikiParserRules/Inline/wikilink",
"text": "enable"
},
"$:/snippets/currpalettepreview": {
"title": "$:/snippets/currpalettepreview",
"text": "\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch()\n<$set name=\"swatchColour\" value={{##$(colour)$}}\n><div class=\"tc-swatch\" style=<<swatchStyle>> title=<<colour>>/></$set>\n\\end\n<div class=\"tc-swatches-horiz\"><$list filter=\"\nforeground\nbackground\nmuted-foreground\nprimary\npage-background\ntab-background\ntiddler-info-background\n\" variable=\"colour\"><<swatch>></$list></div>"
},
"$:/snippets/download-wiki-button": {
"title": "$:/snippets/download-wiki-button",
"text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
},
"$:/language": {
"title": "$:/language",
"text": "$:/languages/en-GB"
},
"$:/snippets/languageswitcher": {
"title": "$:/snippets/languageswitcher",
"text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n\n<$linkcatcher to=\"$:/language\">\n<div class=\"tc-chooser tc-language-chooser\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/language}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/macros/CSS": {
"title": "$:/core/macros/CSS",
"tags": "$:/tags/Macro",
"text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"><$transclude tiddler=\"$:/config/DefaultColourMappings/$name$\"/></$transclude></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n -webkit-box-shadow: $shadow$;\n -moz-box-shadow: $shadow$;\n box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n -webkit-filter: $filter$;\n -moz-filter: $filter$;\n filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n -webkit-transition: $transition$;\n -moz-transition: $transition$;\n transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n -webkit-transform-origin: $origin$;\n -moz-transform-origin: $origin$;\n transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}} _canonical_uri={{$title$!!_canonical_uri}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-background-attachment(text)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" type=\"nomatch\" text=\"\">$text$</$reveal>\n\\end\n"
},
"$:/core/macros/colour-picker": {
"title": "$:/core/macros/colour-picker",
"tags": "$:/tags/Macro",
"text": "\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n$actions$\n\n<span style=\"display:inline-block; background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n{{$:/language/ColourPicker/Recent}} <$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n<$macrocall $name=\"colour-picker-recent-inner\" actions=\"\"\"$actions$\"\"\"/></$list>\n\\end\n\n\\define colour-picker(actions)\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=\"\"\"$actions$\"\"\"/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/>\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\n</div>\n\n\\end\n"
},
"$:/core/macros/copy-to-clipboard": {
"title": "$:/core/macros/copy-to-clipboard",
"tags": "$:/tags/Macro",
"text": "\\define copy-to-clipboard(src,class:\"tc-btn-invisible\",style)\n<$button class=<<__class__>> style=<<__style__>> message=\"tm-copy-to-clipboard\" param=<<__src__>> tooltip={{$:/language/Buttons/CopyToClipboard/Hint}}>\n{{$:/core/images/copy-clipboard}} <$text text={{$:/language/Buttons/CopyToClipboard/Caption}}/>\n</$button>\n\\end\n\n\\define copy-to-clipboard-above-right(src,class:\"tc-btn-invisible\",style)\n<div style=\"position: relative;\">\n<div style=\"position: absolute; bottom: 0; right: 0;\">\n<$macrocall $name=\"copy-to-clipboard\" src=<<__src__>> class=<<__class__>> style=<<__style__>>/>\n</div>\n</div>\n\\end\n\n"
},
"$:/core/macros/diff": {
"title": "$:/core/macros/diff",
"tags": "$:/tags/Macro",
"text": "\\define compareTiddlerText(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle)\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>>>\n<$diff-text source=<<source>> dest=<<dest>>/>\n</$set>\n</$set>\n\\end\n\n\\define compareTiddlers(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle,exclude)\n<table class=\"tc-diff-tiddlers\">\n<tbody>\n<$set name=\"sourceFields\" filter=\"[<__sourceTiddlerTitle__>fields[]sort[]]\">\n<$set name=\"destFields\" filter=\"[<__destSubTiddlerTitle__>subtiddlerfields<__destTiddlerTitle__>sort[]]\">\n<$list filter=\"[enlist<sourceFields>] [enlist<destFields>] -[enlist<__exclude__>] +[sort[]]\" variable=\"fieldName\">\n<tr>\n<th>\n<$text text=<<fieldName>>/> \n</th>\n<td>\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>> field=<<fieldName>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>> field=<<fieldName>>>\n<$diff-text source=<<source>> dest=<<dest>>>\n</$diff-text>\n</$set>\n</$set>\n</td>\n</tr>\n</$list>\n</$set>\n</$set>\n</tbody>\n</table>\n\\end\n"
},
"$:/core/macros/dumpvariables": {
"title": "$:/core/macros/dumpvariables",
"tags": "$:/tags/Macro",
"text": "\\define dumpvariables()\n<ul>\n<$list filter=\"[variables[]]\" variable=\"varname\">\n<li>\n<strong><code><$text text=<<varname>>/></code></strong>:<br/>\n<$codeblock code={{{ [<varname>getvariable[]] }}}/>\n</li>\n</$list>\n</ul>\n\\end\n"
},
"$:/core/macros/export": {
"title": "$:/core/macros/export",
"tags": "$:/tags/Macro",
"text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button></span><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=\"\"\"$exportFilter$\"\"\" filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</div>\n</$reveal>\n\\end\n"
},
"$:/core/macros/image-picker": {
"title": "$:/core/macros/image-picker",
"created": "20170715180840889",
"modified": "20170715180914005",
"tags": "$:/tags/Macro",
"type": "text/vnd.tiddlywiki",
"text": "\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\">\n$actions$\n<$transclude tiddler=<<imageTitle>>/>\n</$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n"
},
"$:/core/macros/lingo": {
"title": "$:/core/macros/lingo",
"tags": "$:/tags/Macro",
"text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
},
"$:/core/macros/list": {
"title": "$:/core/macros/list",
"tags": "$:/tags/Macro",
"text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\",emptyMessage)\n\\whitespace trim\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\" emptyMessage=<<__emptyMessage__>>>\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n\\whitespace trim\n<span class=\"tc-links-draggable-list\">\n<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n<$type$ class=\"$class$\">\n<$list filter=\"[list[$tiddler$!!$field$]]\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\"/>\n<div>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$transclude>\n</div>\n</$droppable>\n</$list>\n</$type$>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"div\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\">\n \n</div>\n<div style=\"height:0.5em;\"/>\n</$droppable>\n</$tiddler>\n</$vars>\n</span>\n\\end\n\n\\define list-tagged-draggable-drop-actions(tag)\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<__tag__>tagging[]]\">\n<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n<$list filter=\"[<__tag__>tagging[]]\">\n<$action-deletefield $field=\"list-before\"/>\n<$action-deletefield $field=\"list-after\"/>\n</$list>\n<!-- Save the new order to the Tag Tiddler -->\n<$action-listops $tiddler=<<__tag__>> $field=\"list\" $filter=\"+[enlist<order>] +[insertbefore:currentTiddler<actionTiddler>]\"/>\n<!-- Make sure the newly added item has the right tag -->\n<!-- Removing this line makes dragging tags within the dropdown work as intended -->\n<!--<$action-listops $tiddler=<<actionTiddler>> $tags=<<__tag__>>/>-->\n<!-- Using the following 5 lines as replacement makes dragging titles from outside into the dropdown apply the tag -->\n<$list filter=\"[<actionTiddler>!contains:tags<__tag__>]\">\n<$fieldmangler tiddler=<<actionTiddler>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<__tag__>>/>\n</$fieldmangler>\n</$list>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,subFilter,emptyMessage,itemTemplate,elementTag:\"div\",storyview:\"\")\n\\whitespace trim\n<span class=\"tc-tagged-draggable-list\">\n<$set name=\"tag\" value=<<__tag__>>>\n<$list filter=\"[<__tag__>tagging[]$subFilter$]\" emptyMessage=<<__emptyMessage__>> storyview=<<__storyview__>>>\n<$elementTag$ class=\"tc-menu-list-item\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$transclude>\n</$elementTag$>\n</$droppable>\n</$elementTag$>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$ style=\"height:0.5em;\">\n</$elementTag$>\n</$droppable>\n</$tiddler>\n</$set>\n</span>\n\\end\n"
},
"$:/core/macros/tabs": {
"title": "$:/core/macros/tabs",
"tags": "$:/tags/Macro",
"text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate,retain)\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\" storyview=\"pop\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<qualify \"$state$\">> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$set></$tiddler></$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<qualify \"$state$\">> text=<<currentTab>> default=\"$default$\" retain=\"\"\"$retain$\"\"\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tag-picker": {
"title": "$:/core/macros/tag-picker",
"tags": "$:/tags/Macro",
"text": "\\define add-tag-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n\\end\n\n\\define tag-button()\n<$button class=\"tc-btn-invisible\" tag=\"a\" tooltip={{$:/language/EditTemplate/Tags/Add/Button/Hint}}>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<tag>>/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$button>\n\\end\n\n\\define tag-picker-inner()\n\\whitespace trim\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$keyboard key=\"ENTER\" actions=<<add-tag-actions>>>\n<$edit-text tiddler=<<newTagNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex=<<tabIndex>> focus={{{ [{$:/config/AutoFocus}match[tags]then[true]] ~[[false]] }}}/>\n</$keyboard>\n</span> <$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <span class=\"tc-add-tag-button\">\n<$set name=\"tag\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$button set=\"$:/temp/NewTagName\" setTo=\"\" class=\"\">\n<<add-tag-actions>>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n{{$:/language/EditTemplate/Tags/Add/Button}}\n</$button>\n</$set>\n</span>\n</div>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$set name=\"newTagName\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]!is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n<hr>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n</$set>\n</div>\n</$reveal>\n</div>\n\\end\n\\define tag-picker()\n\\whitespace trim\n<$list filter=\"[<newTagNameTiddler>match[]]\" emptyMessage=<<tag-picker-inner>>>\n<$set name=\"newTagNameTiddler\" value=<<qualify \"$:/temp/NewTagName\">>>\n<<tag-picker-inner>>\n</$set>\n</$list>\n\\end\n"
},
"$:/core/macros/tag": {
"title": "$:/core/macros/tag",
"tags": "$:/tags/Macro",
"text": "\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<$element-tag$ $element-attributes$ class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n$actions$<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view tiddler=<<__tag__>> field=\"title\" format=\"text\" />\n</$element-tag$>\n</$vars>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n<$macrocall $name=\"tag-pill-inner\" tag=<<__tag__>> icon=\"\"\"$icon$\"\"\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-pill-body\" tag=<<__tag__>> icon={{{ [<__tag__>get[icon]] }}} colour={{{ [<__tag__>get[color]] }}} palette={{$:/palette}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
},
"$:/core/macros/thumbnails": {
"title": "$:/core/macros/thumbnails",
"tags": "$:/tags/Macro",
"text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
},
"$:/core/macros/timeline": {
"title": "$:/core/macros/timeline",
"created": "20141212105914482",
"modified": "20141212110330815",
"tags": "$:/tags/Macro",
"text": "\\define timeline-title()\n\\whitespace trim\n<!-- Override this macro with a global macro \n of the same name if you need to change \n how titles are displayed on the timeline \n -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><<timeline-title>></$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
},
"$:/core/macros/toc": {
"title": "$:/core/macros/toc",
"tags": "$:/tags/Macro",
"text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n <$transclude field=\"caption\">\n <$view field=\"title\"/>\n </$transclude>\n</$set>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<ol class=\"tc-toc\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$vars item=<<currentTiddler>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link><$view field='caption'><$view field='title'/></$view></$link>\">\n <<toc-caption>>\n </$list>\n <$macrocall $name=\"toc-body\" tag=<<item>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </li>\n </$set>\n </$set>\n </$vars>\n </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\"\")\n<$macrocall $name=\"toc-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> />\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$link>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-expandable-empty-message()\n<$macrocall $name=\"toc-linked-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\"\",exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\" >\n <li class=<<toc-item-class>>>\n <$link>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n </$list>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n </$list>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<$macrocall $name=\"toc-linked-selective-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-selective-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-selective-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{{ [<__selectedTiddler__>get[text]] }}}>\n <div class=\"tc-tabbed-table-of-contents\">\n <$linkcatcher to=<<__selectedTiddler__>>>\n <div class=\"tc-table-of-contents\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"[all[current]] -[<__selectedTiddler__>get[text]]\"/>\n </div>\n </$linkcatcher>\n <div class=\"tc-tabbed-table-of-contents-content\">\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"nomatch\" text=\"\">\n <$transclude mode=\"block\" tiddler=<<__template__>>>\n <h1><<toc-caption>></h1>\n <$transclude mode=\"block\">$missingText$</$transclude>\n </$transclude>\n </$reveal>\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"match\" text=\"\">\n $unselectedText$\n </$reveal>\n </div>\n </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=<<__selectedTiddler__>>>\n <$macrocall $name=\"toc-tabbed-external-nav\" tag=<<__tag__>> sort=<<__sort__>> selectedTiddler=<<__selectedTiddler__>> unselectedText=<<__unselectedText__>> missingText=<<__missingText__>> template=<<__template__>>/>\n</$linkcatcher>\n\\end\n\n"
},
"$:/core/macros/translink": {
"title": "$:/core/macros/translink",
"tags": "$:/tags/Macro",
"text": "\\define translink(title,mode:\"block\")\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: black; foreground; white;\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: white; foreground; black;\">\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"$mode$\">\n\"<$text text=\"\"\"$title$\"\"\"/>\" is missing\n</$transclude>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tree": {
"title": "$:/core/macros/tree",
"tags": "$:/tags/Macro",
"text": "\\define leaf-link(full-title,chunk,separator: \"/\")\n<$link to=<<__full-title__>>><$text text=<<__chunk__>>/></$link>\n\\end\n\n\\define leaf-node(prefix,chunk)\n<li>\n<$list filter=\"[<__prefix__>addsuffix<__chunk__>is[shadow]] [<__prefix__>addsuffix<__chunk__>is[tiddler]]\" variable=\"full-title\">\n<$list filter=\"[<full-title>removeprefix<__prefix__>]\" variable=\"chunk\">\n<span>{{$:/core/images/file}}</span> <$macrocall $name=\"leaf-link\" full-title=<<full-title>> chunk=<<chunk>>/>\n</$list>\n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix,chunk,separator: \"/\")\n<li>\n<$set name=\"reveal-state\" value={{{ [[$:/state/tree/]addsuffix<__prefix__>addsuffix<__chunk__>] }}}>\n<$reveal type=\"nomatch\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<span>(<$count filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>removeprefix<__chunk__>] -[<__prefix__>addsuffix<__chunk__>]\"/>)</span>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$macrocall $name=\"tree-node\" prefix={{{ [<__prefix__>addsuffix<__chunk__>] }}} separator=<<__separator__>>/>\n</$reveal>\n</$set>\n</li>\n\\end\n\n\\define tree-node(prefix,separator: \"/\")\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]!suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"leaf-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"branch-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix: \"$:/\",separator: \"/\")\n<div class=\"tc-tree\">\n<span><$text text=<<__prefix__>>/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=<<__prefix__>> separator=<<__separator__>>/>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/utils": {
"title": "$:/core/macros/utils",
"text": "\\define colour(colour)\n$colour$\n\\end\n"
},
"$:/snippets/minifocusswitcher": {
"title": "$:/snippets/minifocusswitcher",
"text": "<$select tiddler=\"$:/config/AutoFocus\">\n<$list filter=\"title tags text type fields\">\n<option value=<<currentTiddler>>><<currentTiddler>></option>\n</$list>\n</$select>\n"
},
"$:/snippets/minilanguageswitcher": {
"title": "$:/snippets/minilanguageswitcher",
"text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/minithemeswitcher": {
"title": "$:/snippets/minithemeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/modules": {
"title": "$:/snippets/modules",
"text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
},
"$:/palette": {
"title": "$:/palette",
"text": "$:/palettes/Vanilla"
},
"$:/snippets/paletteeditor": {
"title": "$:/snippets/paletteeditor",
"text": "<$transclude tiddler=\"$:/PaletteManager\"/>\n"
},
"$:/snippets/palettepreview": {
"title": "$:/snippets/palettepreview",
"text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n{{||$:/snippets/currpalettepreview}}\n</$set>\n"
},
"$:/snippets/paletteswitcher": {
"title": "$:/snippets/paletteswitcher",
"text": "<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[name]]\"><$set name=\"cls\" filter=\"[all[current]prefix{$:/palette}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/>{{||$:/snippets/currpalettepreview}}</$link>\n</div></$set>\n</$list>\n</div>\n</$linkcatcher>\n"
},
"$:/snippets/peek-stylesheets": {
"title": "$:/snippets/peek-stylesheets",
"text": "\\define expandable-stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$vars state=<<qualify \"$:/state/peek-stylesheets/open/\">>>\n<$set name=\"state\" value={{{ [<state>addsuffix<currentTiddler>] }}}>\n<li>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"no\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"yes\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"div\">\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</$reveal>\n</li>\n</$set>\n</$vars>\n</$list>\n</ol>\n\\end\n\n\\define stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<li>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</li>\n</$list>\n</ol>\n\\end\n\n<$vars modeState=<<qualify \"$:/state/peek-stylesheets/mode/\">>>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"expanded\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Stylesheets/Expand/Caption}}</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"restored\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}} {{$:/language/ControlPanel/Stylesheets/Restore/Caption}}</$button>\n</$reveal>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<expandable-stylesheets-list>>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<stylesheets-list>>\n</$reveal>\n\n</$vars>\n"
},
"$:/temp/search": {
"title": "$:/temp/search",
"text": ""
},
"$:/tags/AdvancedSearch": {
"title": "$:/tags/AdvancedSearch",
"list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
},
"$:/tags/AdvancedSearch/FilterButton": {
"title": "$:/tags/AdvancedSearch/FilterButton",
"list": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"
},
"$:/tags/ControlPanel": {
"title": "$:/tags/ControlPanel",
"list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
},
"$:/tags/ControlPanel/Info": {
"title": "$:/tags/ControlPanel/Info",
"list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
},
"$:/tags/ControlPanel/Plugins": {
"title": "$:/tags/ControlPanel/Plugins",
"list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
},
"$:/tags/EditTemplate": {
"title": "$:/tags/EditTemplate",
"list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
},
"$:/tags/EditToolbar": {
"title": "$:/tags/EditToolbar",
"list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
},
"$:/tags/EditorToolbar": {
"title": "$:/tags/EditorToolbar",
"list": "$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/rotate-left $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"
},
"$:/tags/Manager/ItemMain": {
"title": "$:/tags/Manager/ItemMain",
"list": "$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"
},
"$:/tags/Manager/ItemSidebar": {
"title": "$:/tags/Manager/ItemSidebar",
"list": "$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"
},
"$:/tags/MoreSideBar": {
"title": "$:/tags/MoreSideBar",
"list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]",
"text": ""
},
"$:/tags/PageControls": {
"title": "$:/tags/PageControls",
"list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
},
"$:/tags/PageTemplate": {
"title": "$:/tags/PageTemplate",
"list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
"text": ""
},
"$:/tags/PluginLibrary": {
"title": "$:/tags/PluginLibrary",
"list": "$:/config/OfficialPluginLibrary"
},
"$:/tags/SideBar": {
"title": "$:/tags/SideBar",
"list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
"text": ""
},
"$:/tags/SideBarSegment": {
"title": "$:/tags/SideBarSegment",
"list": "[[$:/core/ui/SideBarSegments/site-title]] [[$:/core/ui/SideBarSegments/site-subtitle]] [[$:/core/ui/SideBarSegments/page-controls]] [[$:/core/ui/SideBarSegments/search]] [[$:/core/ui/SideBarSegments/tabs]]"
},
"$:/tags/TiddlerInfo": {
"title": "$:/tags/TiddlerInfo",
"list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
"text": ""
},
"$:/tags/TiddlerInfo/Advanced": {
"title": "$:/tags/TiddlerInfo/Advanced",
"list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
},
"$:/tags/ViewTemplate": {
"title": "$:/tags/ViewTemplate",
"list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
},
"$:/tags/ViewToolbar": {
"title": "$:/tags/ViewToolbar",
"list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
},
"$:/snippets/themeswitcher": {
"title": "$:/snippets/themeswitcher",
"text": "<$linkcatcher to=\"$:/theme\">\n<div class=\"tc-chooser\"><$list filter=\"[plugin-type[theme]sort[title]]\"><$set name=\"cls\" filter=\"[all[current]field:title{$:/theme}] [[$:/theme]!has[text]addsuffix[s/tiddlywiki/vanilla]field:title<currentTiddler>] +[limit[1]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/wiki/title": {
"title": "$:/core/wiki/title",
"text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
},
"$:/view": {
"title": "$:/view",
"text": "classic"
},
"$:/snippets/viewswitcher": {
"title": "$:/snippets/viewswitcher",
"text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<$linkcatcher to=\"$:/view\">\n<div class=\"tc-chooser tc-viewswitcher\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$set name=\"cls\" filter=\"[<storyview>prefix{$:/view}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link to=<<storyview>>><$transclude tiddler=<<icon>>/><$text text=<<storyview>>/></$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
}
}
}
<div class="tc-site-subtitle">
<$transclude tiddler="$:/SiteSubtitle" mode="inline"/>
</div>
<h1 class="tc-site-title">
<$transclude tiddler="$:/SiteTitle" mode="inline"/>
</h1>
The following tiddlers were imported:
# [[Untitled]]
# [[salto_espera.png]]
\whitespace trim
<$navigator story="$:/fullscreen-editor">
<$button message="tm-edit-tiddler" tooltip="Edit in full screen mode" class=<<tv-config-toolbar-class>>>
<$list filter="[<tv-config-toolbar-icons>prefix[yes]]">
{{$:/core/images/full-screen-button}}
</$list>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<span class="tc-btn-text">
<$text text=" "/>
<$text text="edit in full screen"/>
</span>
</$list>
</$button>
</$navigator>
{
"tiddlers": {
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "Búsqueda avanzada"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Búsqueda avanzada"
},
"$:/language/Buttons/Bold/Caption": {
"title": "$:/language/Buttons/Bold/Caption",
"text": "Negrita"
},
"$:/language/Buttons/Bold/Hint": {
"title": "$:/language/Buttons/Bold/Hint",
"text": "Aplicar formato de negrita a la selección"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "Cancelar"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Descarta los cambios"
},
"$:/language/Buttons/Clear/Caption": {
"title": "$:/language/Buttons/Clear/Caption",
"text": "*clear"
},
"$:/language/Buttons/Clear/Hint": {
"title": "$:/language/Buttons/Clear/Hint",
"text": "*Clear image to solid colour"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "Clonar"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Hace una copia exacta de este tiddler"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "Cerrar"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Cierra este tiddler"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "Cerrar todo"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Cierra todos los tiddlers"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "Cerrar los demás"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Cierra todos tiddlers abiertos excepto este"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "Panel de Control"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Abre el Panel de Control"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "Borrar"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Borra este tiddler"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "Editar"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Permite editar este tiddler"
},
"$:/language/Buttons/EditorHeight/Caption": {
"title": "$:/language/Buttons/EditorHeight/Caption",
"text": "Altura del editor"
},
"$:/language/Buttons/EditorHeight/Caption/Auto": {
"title": "$:/language/Buttons/EditorHeight/Caption/Auto",
"text": "Ajustar al contenido"
},
"$:/language/Buttons/EditorHeight/Caption/Fixed": {
"title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
"text": "Altura fija"
},
"$:/language/Buttons/EditorHeight/Hint": {
"title": "$:/language/Buttons/EditorHeight/Hint",
"text": "Determina la altura del cuadro de edición"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "Cifrado"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "Borrar contraseña"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Borra la contraseña actual y guarda este wiki sin cifrar"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Asigna o revoca la contraseña de cifrado para este wiki"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "Asignar contraseña"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Asigna contraseña de cifrado"
},
"$:/language/Buttons/Excise/Caption": {
"title": "$:/language/Buttons/Excise/Caption",
"text": "Escindir"
},
"$:/language/Buttons/Excise/Caption/Excise": {
"title": "$:/language/Buttons/Excise/Caption/Excise",
"text": "Escindir"
},
"$:/language/Buttons/Excise/Caption/MacroName": {
"title": "$:/language/Buttons/Excise/Caption/MacroName",
"text": "Nombre de la macro"
},
"$:/language/Buttons/Excise/Caption/NewTitle": {
"title": "$:/language/Buttons/Excise/Caption/NewTitle",
"text": "Título del nuevo tiddler"
},
"$:/language/Buttons/Excise/Caption/Replace": {
"title": "$:/language/Buttons/Excise/Caption/Replace",
"text": "Reemplazar texto escindido con:"
},
"$:/language/Buttons/Excise/Caption/Replace/Link": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Link",
"text": "enlace"
},
"$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
"text": "transclusión"
},
"$:/language/Buttons/Excise/Caption/Tag": {
"title": "$:/language/Buttons/Excise/Caption/Tag",
"text": "Etiqueta el nuevo tiddler con el título de este"
},
"$:/language/Buttons/Excise/Caption/TiddlerExists": {
"title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
"text": "¡Atención! El tiddler ya existe"
},
"$:/language/Buttons/Excise/Hint": {
"title": "$:/language/Buttons/Excise/Hint",
"text": "Corta el texto seleccionado y lo pega en un tiddler nuevo"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "Exportar todos"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Exporta todos los tiddlers"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "Exportar tiddler"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Exporta este tiddler"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "Exportar tiddlers"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Exporta el grupo de tiddlers"
},
"$:/language/Buttons/Fold/Caption": {
"title": "$:/language/Buttons/Fold/Caption",
"text": "Comprimir tiddler"
},
"$:/language/Buttons/Fold/FoldBar/Caption": {
"title": "$:/language/Buttons/Fold/FoldBar/Caption",
"text": "Barra de vista comprimida"
},
"$:/language/Buttons/Fold/FoldBar/Hint": {
"title": "$:/language/Buttons/Fold/FoldBar/Hint",
"text": "Barras opcionales para comprimir y desplegar tiddlers"
},
"$:/language/Buttons/Fold/Hint": {
"title": "$:/language/Buttons/Fold/Hint",
"text": "Comprime la vista del tiddler ocultando el cuerpo y sólo muestra el título"
},
"$:/language/Buttons/FoldAll/Caption": {
"title": "$:/language/Buttons/FoldAll/Caption",
"text": "Comprimir todos"
},
"$:/language/Buttons/FoldAll/Hint": {
"title": "$:/language/Buttons/FoldAll/Hint",
"text": "Comprime la vista de todos los tiddlers abiertos"
},
"$:/language/Buttons/FoldOthers/Caption": {
"title": "$:/language/Buttons/FoldOthers/Caption",
"text": "Comprimir los demás"
},
"$:/language/Buttons/FoldOthers/Hint": {
"title": "$:/language/Buttons/FoldOthers/Hint",
"text": "Comprime la vista de todos los tiddlers abiertos excepto este"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "Pantalla completa"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Entra y sale del modo de pantalla completa"
},
"$:/language/Buttons/Heading1/Caption": {
"title": "$:/language/Buttons/Heading1/Caption",
"text": "Encabezamiento 1"
},
"$:/language/Buttons/Heading1/Hint": {
"title": "$:/language/Buttons/Heading1/Hint",
"text": "Aplica formato de encabezamiento 1 a la selección"
},
"$:/language/Buttons/Heading2/Caption": {
"title": "$:/language/Buttons/Heading2/Caption",
"text": "Encabezamiento 2"
},
"$:/language/Buttons/Heading2/Hint": {
"title": "$:/language/Buttons/Heading2/Hint",
"text": "Aplica formato de encabezamiento 2 a la selección"
},
"$:/language/Buttons/Heading3/Caption": {
"title": "$:/language/Buttons/Heading3/Caption",
"text": "Encabezamiento 3"
},
"$:/language/Buttons/Heading3/Hint": {
"title": "$:/language/Buttons/Heading3/Hint",
"text": "Aplica formato de encabezamiento 3 a la selección"
},
"$:/language/Buttons/Heading4/Caption": {
"title": "$:/language/Buttons/Heading4/Caption",
"text": "Encabezamiento 4"
},
"$:/language/Buttons/Heading4/Hint": {
"title": "$:/language/Buttons/Heading4/Hint",
"text": "Aplica formato de encabezamiento 4 a la selección"
},
"$:/language/Buttons/Heading5/Caption": {
"title": "$:/language/Buttons/Heading5/Caption",
"text": "Encabezamiento 5"
},
"$:/language/Buttons/Heading5/Hint": {
"title": "$:/language/Buttons/Heading5/Hint",
"text": "Aplica formato de encabezamiento 5 a la selección"
},
"$:/language/Buttons/Heading6/Caption": {
"title": "$:/language/Buttons/Heading6/Caption",
"text": "Encabezamiento 6"
},
"$:/language/Buttons/Heading6/Hint": {
"title": "$:/language/Buttons/Heading6/Hint",
"text": "Aplica formato de encabezamiento 6 a la selección"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "Ayuda"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Muestra el panel de ayuda"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "Ocultar barra lateral"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Oculta la barra lateral"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "Inicio"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Cierra todos los tiddlers abiertos y abre los que se muestran por defecto al inicio"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "Importar"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Importa multitud de tipos de archivo, incluyendo textos, imágenes, TiddlyWiki y JSON"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "Información"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Muestra información sobre este tiddler"
},
"$:/language/Buttons/Italic/Caption": {
"title": "$:/language/Buttons/Italic/Caption",
"text": "Cursiva"
},
"$:/language/Buttons/Italic/Hint": {
"title": "$:/language/Buttons/Italic/Hint",
"text": "Aplica formato de cursiva a la selección"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "Idioma"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Selecciona idioma de la interfaz de usuario"
},
"$:/language/Buttons/LineWidth/Caption": {
"title": "$:/language/Buttons/LineWidth/Caption",
"text": "Ancho del trazo"
},
"$:/language/Buttons/LineWidth/Hint": {
"title": "$:/language/Buttons/LineWidth/Hint",
"text": "Establece el ancho del trazo para pintar"
},
"$:/language/Buttons/ListBullet/Caption": {
"title": "$:/language/Buttons/ListBullet/Caption",
"text": "Lista con viñetas"
},
"$:/language/Buttons/ListBullet/Hint": {
"title": "$:/language/Buttons/ListBullet/Hint",
"text": "Aplica formato de lista con viñetas a la selección"
},
"$:/language/Buttons/ListNumber/Caption": {
"title": "$:/language/Buttons/ListNumber/Caption",
"text": "Lista numerada"
},
"$:/language/Buttons/ListNumber/Hint": {
"title": "$:/language/Buttons/ListNumber/Hint",
"text": "Aplica formato de lista numerada a la selección"
},
"$:/language/Buttons/MonoBlock/Caption": {
"title": "$:/language/Buttons/MonoBlock/Caption",
"text": "Bloque monoespaciado"
},
"$:/language/Buttons/MonoBlock/Hint": {
"title": "$:/language/Buttons/MonoBlock/Hint",
"text": "Aplica formato de bloque monoespaciado a la selección"
},
"$:/language/Buttons/MonoLine/Caption": {
"title": "$:/language/Buttons/MonoLine/Caption",
"text": "Monoespacio"
},
"$:/language/Buttons/MonoLine/Hint": {
"title": "$:/language/Buttons/MonoLine/Hint",
"text": "Aplica formato de monoespacio a la selección"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "Más"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "Otras acciones"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "Nuevo aquí"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Crea un nuevo tiddler etiquetado con el título de este tiddler"
},
"$:/language/Buttons/NewImage/Caption": {
"title": "$:/language/Buttons/NewImage/Caption",
"text": "Nueva imagen"
},
"$:/language/Buttons/NewImage/Hint": {
"title": "$:/language/Buttons/NewImage/Hint",
"text": "Crea un nuevo tiddler de imagen"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "Nueva entrada"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Crea una nueva entrada de diario"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "Entrada nueva aquí"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Crea una nueva entrada de diario etiquetada con el título de este tiddler"
},
"$:/language/Buttons/NewMarkdown/Caption": {
"title": "$:/language/Buttons/NewMarkdown/Caption",
"text": "Nuevo tiddler en Markdown"
},
"$:/language/Buttons/NewMarkdown/Hint": {
"title": "$:/language/Buttons/NewMarkdown/Hint",
"text": "Crea un nuevo tiddler en Markdown"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "Nuevo tiddler"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Crea un tiddler nuevo"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "Abrir en ventana nueva"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Abre el tiddler en una nueva ventana"
},
"$:/language/Buttons/Opacity/Caption": {
"title": "$:/language/Buttons/Opacity/Caption",
"text": "Opacidad"
},
"$:/language/Buttons/Opacity/Hint": {
"title": "$:/language/Buttons/Opacity/Hint",
"text": "Establece la opacidad del trazo"
},
"$:/language/Buttons/Paint/Caption": {
"title": "$:/language/Buttons/Paint/Caption",
"text": "Color del trazo"
},
"$:/language/Buttons/Paint/Hint": {
"title": "$:/language/Buttons/Paint/Hint",
"text": "Establece el color del trazo"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "Paleta"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Selecciona la paleta de color"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "Permalink"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Crea en la barra de direcciones del navegador un enlace directo a este tiddler"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "Permaview"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Crea en la barra de direcciones del navegador un enlace directo a todos los tiddlers abiertos"
},
"$:/language/Buttons/Picture/Caption": {
"title": "$:/language/Buttons/Picture/Caption",
"text": "Imagen"
},
"$:/language/Buttons/Picture/Hint": {
"title": "$:/language/Buttons/Picture/Hint",
"text": "Inserta imagen"
},
"$:/language/Buttons/Preview/Caption": {
"title": "$:/language/Buttons/Preview/Caption",
"text": "Vista previa"
},
"$:/language/Buttons/Preview/Hint": {
"title": "$:/language/Buttons/Preview/Hint",
"text": "Muestra el panel de vista previa"
},
"$:/language/Buttons/PreviewType/Caption": {
"title": "$:/language/Buttons/PreviewType/Caption",
"text": "Tipo de vista previa"
},
"$:/language/Buttons/PreviewType/Hint": {
"title": "$:/language/Buttons/PreviewType/Hint",
"text": "Selecciona el tipo de vista previa"
},
"$:/language/Buttons/Quote/Caption": {
"title": "$:/language/Buttons/Quote/Caption",
"text": "Bloque de cita"
},
"$:/language/Buttons/Quote/Hint": {
"title": "$:/language/Buttons/Quote/Hint",
"text": "Aplica formato de bloque de cita a la selección"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "Recargar"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Actualiza completamente este wiki"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "Ok"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Confirma y guarda los cambios realizados en el tiddler"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "Guardar cambios"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Confirma y guarda todos los cambios realizados en el wiki"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "Mostrar barra lateral"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Muestra la barra lateral"
},
"$:/language/Buttons/Size/Caption": {
"title": "$:/language/Buttons/Size/Caption",
"text": "Tamaño de imagen"
},
"$:/language/Buttons/Size/Caption/Height": {
"title": "$:/language/Buttons/Size/Caption/Height",
"text": "Altura:"
},
"$:/language/Buttons/Size/Caption/Resize": {
"title": "$:/language/Buttons/Size/Caption/Resize",
"text": "Cambiar tamaño"
},
"$:/language/Buttons/Size/Caption/Width": {
"title": "$:/language/Buttons/Size/Caption/Width",
"text": "Ancho:"
},
"$:/language/Buttons/Size/Hint": {
"title": "$:/language/Buttons/Size/Hint",
"text": "Establece tamaño de la imagen"
},
"$:/language/Buttons/Stamp/Caption": {
"title": "$:/language/Buttons/Stamp/Caption",
"text": "Snippet"
},
"$:/language/Buttons/Stamp/Caption/New": {
"title": "$:/language/Buttons/Stamp/Caption/New",
"text": "Añade el tuyo propio"
},
"$:/language/Buttons/Stamp/Hint": {
"title": "$:/language/Buttons/Stamp/Hint",
"text": "Inserta un snippet o fragmento de texto preconfigurado"
},
"$:/language/Buttons/Stamp/New/Text": {
"title": "$:/language/Buttons/Stamp/New/Text",
"text": "Texto del snippet (Recuerda añadir un título descriptivo en el campo \"caption\" )."
},
"$:/language/Buttons/Stamp/New/Title": {
"title": "$:/language/Buttons/Stamp/New/Title",
"text": "Nombre para mostrar en el menú"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "Vista"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Selecciona el modo de visualización de los tiddlers"
},
"$:/language/Buttons/Strikethrough/Caption": {
"title": "$:/language/Buttons/Strikethrough/Caption",
"text": "Tachado"
},
"$:/language/Buttons/Strikethrough/Hint": {
"title": "$:/language/Buttons/Strikethrough/Hint",
"text": "Aplica formado de tachado a la selección"
},
"$:/language/Buttons/Subscript/Caption": {
"title": "$:/language/Buttons/Subscript/Caption",
"text": "Subíndice"
},
"$:/language/Buttons/Subscript/Hint": {
"title": "$:/language/Buttons/Subscript/Hint",
"text": "Aplica formato de subíndice a la selección"
},
"$:/language/Buttons/Superscript/Caption": {
"title": "$:/language/Buttons/Superscript/Caption",
"text": "Superíndice"
},
"$:/language/Buttons/Superscript/Hint": {
"title": "$:/language/Buttons/Superscript/Hint",
"text": "Aplica formato de superíndice a la selección"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "Administrador de etiquetas"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Abre el gestor de etiquetas"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "Tema"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Selecciona un estilo visual para el wiki"
},
"$:/language/Buttons/Underline/Caption": {
"title": "$:/language/Buttons/Underline/Caption",
"text": "Subrayado"
},
"$:/language/Buttons/Underline/Hint": {
"title": "$:/language/Buttons/Underline/Hint",
"text": "Aplica formato de subrayado a la selección"
},
"$:/language/Buttons/Unfold/Caption": {
"title": "$:/language/Buttons/Unfold/Caption",
"text": "Desplegar tiddler"
},
"$:/language/Buttons/Unfold/Hint": {
"title": "$:/language/Buttons/Unfold/Hint",
"text": "Despliega el cuerpo de este tiddler y muestra su contenido"
},
"$:/language/Buttons/UnfoldAll/Caption": {
"title": "$:/language/Buttons/UnfoldAll/Caption",
"text": "Desplegar todos"
},
"$:/language/Buttons/UnfoldAll/Hint": {
"title": "$:/language/Buttons/UnfoldAll/Hint",
"text": "Despliega y muestra el contenido de todos los tiddlers abiertos"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Avanzado"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Información interna de TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Aspecto"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Personaliza la apariencia de TiddlyWiki"
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Duración de la animación"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Básico"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Usa [[corchetes dobles]] para títulos con espacios. También puedes mostrarlos ordenados <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">de más reciente a más antiguo</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Tiddlers por defecto"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Escoge qué tiddlers se muestran al inicio"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "¡Hola! Selecciona idioma actual"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Etiqueta para las nuevas entradas de diario"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Formato de título para las nuevas entradas de diario"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Número de tiddlers ocultos anulados"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Número de tiddlers ocultos"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Subtítulo"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Número de tiddlers de sistema"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Número de etiquetas"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Número de tiddlers"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Título de este ~TiddlyWiki:"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Nombre de usuario"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "Versión de ~TiddlyWiki"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Tipos de editor"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Editor"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "Editores usados para ciertos tipos específicos de tiddler"
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Tipo"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Información"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Información acerca de este TiddlyWiki"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
"text": "Añadir atajo"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
"text": "Escribe el atajo"
},
"$:/language/ControlPanel/KeyboardShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
"text": "Atajos de teclado"
},
"$:/language/ControlPanel/KeyboardShortcuts/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
"text": "Administra la asignación de atajos de teclado"
},
"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
"text": "No hay atajo asignado"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
"text": "Cualquier plataforma"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
"text": "Sólo Linux"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
"text": "Sólo Macintosh"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
"text": "Todas menos Linux"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
"text": "Todas menos Macintosh"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
"text": "Todas menos Windows"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
"text": "Sólo windows"
},
"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
"text": "Eliminar atajo"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Módulos cargados"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "Modulos cargados en este momento, enlazados con sus tiddlers de origen. Los módulos en itálica carecen de origen, debido normalmente a que se configuraron durante el inicio."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Paleta"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "Clonar"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "Se recomienda clonar esta paleta antes de editarla."
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Editando"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "Si te has perdido, no desesperes"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "Restaura la paleta"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "Cerrar el editor"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Paleta actual"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "Abrir el editor"
},
"$:/language/ControlPanel/Parsing/Block/Caption": {
"title": "$:/language/ControlPanel/Parsing/Block/Caption",
"text": "Bloquear reglas sintácticas"
},
"$:/language/ControlPanel/Parsing/Caption": {
"title": "$:/language/ControlPanel/Parsing/Caption",
"text": "Interpretación sintáctica"
},
"$:/language/ControlPanel/Parsing/Hint": {
"title": "$:/language/ControlPanel/Parsing/Hint",
"text": "Aquí se pueden deshabilitar globalmente reglas de interpretación sintáctica del wiki. Ten cuidado: deshabilitar ciertas reglas puede hacer que ~TiddlyWiki deje de funcionar correctamente."
},
"$:/language/ControlPanel/En tal caso, puedes recuperar su normal funcionamiento en [[modo seguro|https": {
"title": "$:/language/ControlPanel/En tal caso, puedes recuperar su normal funcionamiento en [[modo seguro|https",
"text": "/tiddlywiki.com/#SafeMode]]."
},
"$:/language/ControlPanel/Parsing/Inline/Caption": {
"title": "$:/language/ControlPanel/Parsing/Inline/Caption",
"text": "Reglas sintácticas de texto"
},
"$:/language/ControlPanel/Parsing/Pragma/Caption": {
"title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
"text": "Reglas sintácticas del compilador"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Obten complementos y extensiones"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Instala plugins desde la librería oficial"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "Desactivar"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Desactiva el plugin al actualizar la página"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(Desactivado)"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "No se han instalado"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "Activar"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Activa este plugin al actualizar la página"
},
"$:/language/ControlPanel/Plugins/Install/Caption": {
"title": "$:/language/ControlPanel/Plugins/Install/Caption",
"text": "Instalar"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Plugins instalados actualmente"
},
"$:/language/ControlPanel/Plugins/Language/Prompt": {
"title": "$:/language/ControlPanel/Plugins/Language/Prompt",
"text": "Idiomas"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Idiomas"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Extensiones de idioma"
},
"$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
"text": "Abrir biblioteca de complementos y extensiones"
},
"$:/language/ControlPanel/Plugins/Plugin/Prompt": {
"title": "$:/language/ControlPanel/Plugins/Plugin/Prompt",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Complementos y extensiones"
},
"$:/language/ControlPanel/Plugins/Reinstall/Caption": {
"title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
"text": "Reinstalar"
},
"$:/language/ControlPanel/Plugins/Theme/Prompt": {
"title": "$:/language/ControlPanel/Plugins/Theme/Prompt",
"text": "Temas"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Temas"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Extensiones de tema"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Servidor"
},
"$:/language/ControlPanel/Saving/Heading": {
"title": "$:/language/ControlPanel/Saving/Heading",
"text": "Servidor"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Configuración Avanzada"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Directorio de copias de seguridad"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Copias de seguridad"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "Esta configuración sólo se usa para guardar el wiki en http://tiddlyspot.com o en otro servidor compatible"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Nombre del archivo"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//La dirección (URL) por defecto de// TiddlySpot //es `http://<wikiname>.tiddlyspot.com/store.cgi` aunque puede cambiarse a voluntad para usar otro servidor//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Contraseña"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "Dirección (URL) del servidor"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Directorio de almacenamiento"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Nombre del Wiki"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Guardar automáticamente"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "No guardar cambios automáticamente"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Guardar cambios automáticamente"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Guarda automáticamente los cambios durante la edición"
},
"$:/language/ControlPanel/Settings/CamelCase/Caption": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
"text": "Enlaces wiki mediante ~CamelCase"
},
"$:/language/ControlPanel/Settings/CamelCase/Description": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Description",
"text": "Activar enlaces automáticos mediante ~CamelCase"
},
"$:/language/ControlPanel/Settings/CamelCase/Hint": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
"text": "Desactiva globalmente la opción de enlace automático mediante CamelCase <br>"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Configuración"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Pestaña por defecto de la barra lateral"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Indica qué pestaña de la barra lateral se muestra por defecto al inicio"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "La configuración de estos ajustes te permite personalizar el comportamiento de TiddlyWiki."
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Comportamiento al abrir tiddlers..."
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "...dentro del StoryRiver"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Abrirlo por encima del tiddler actual"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Abrirlo al final del StoryRiver"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Abrirlo al principio del StoryRiver"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Abrirlo por debajo del tiddler actual"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "...desde fuera del StoryRiver"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Barra de direcciones"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Comportamiento de la barra de dirección del navegador cuando se abre un tiddler"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "No actualizar la barra de dirección"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Añadir el tiddler de destino a la dirección"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Añadir el tiddler de destino y la secuencia actual de tiddlers abiertos"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "Historial de navegación"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Actualiza el historial de navegación al abrir un tiddler"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "No actualizar el historial"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Actualizar el historial"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
"text": "//Performance Instrumentation//"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
"text": "Activar //performance instrumentation//"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
"text": "Muestra estadísticas de las prestaciones de la página en la consola de desarrollo <br>"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Títulos de tiddler"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Los títulos de los tiddlers se mostrarán y se comportarán como enlaces"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "No mostrar como enlaces"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Mostrar como enlaces"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Botones de la barra de herramientas"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Aspecto por defecto de los botones de la barra de herramientas"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Mostrar icono"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Mostrar texto"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Estilo de botón"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Selecciona el estilo de los botones de la barra de herramientas"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Sin borde"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Cuadrado"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Redondo"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Vista"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Vista actual"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Tema"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Tema actual"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Campos de tiddler"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "Esta es la colección completa de campos de tiddler (TiddlerFields) actualmente en uso en este wiki, que incluye los tiddlers de sistema, pero no los ocultos"
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Barras de herramientas"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "Barra de edición"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Selecciona qué botones mostrar en modo de edición"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Selecciona qué botones mostrar en las diferentes barras de herramientas"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Barra de página"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Selecciona qué botones mostrar en la barra de página"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "Barra de visualización"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Selecciona qué botones mostrar en modo de visualización"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Descargar el wiki completo"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "Este plugin contiene componentes del núcleo de TiddlyWiki que incluyen:\n\n* Módulos de código JavaScript\n* Iconos\n* Plantillas necesarias para crear la interfaz de usuario de TiddlyWiki\n* Traducciones al castellano (ES-es) de las cadenas localizables usadas por el núcleo\n"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "º"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": ""
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": ""
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": ""
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": ""
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": ""
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": ""
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": ""
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": ""
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": ""
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": ""
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": ""
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": ""
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": ""
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": ""
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": ""
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": ""
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": ""
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": ""
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": ""
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": ""
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": ""
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": ""
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": ""
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": ""
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": ""
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": ""
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": ""
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": ""
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": ""
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": ""
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "domingo"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "lunes"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "martes"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "miércoles"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "jueves"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "viernes"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "sábado"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "enero"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "octubre"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "noviembre"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "diciembre"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "febrero"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "marzo"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "abril"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "mayo"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "junio"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "julio"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "agosto"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "septiembre"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Do"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Lu"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Ma"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Mi"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Ju"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Vi"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Sá"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "Ene"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "Dic"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "Abr"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "Ago"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "dentro de <<period>> días"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "en <<period>> horas"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "en <<period>> minutos"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "dentro de <<period>> meses"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "en 1 segundo"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "en <<period>> segundos"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "dentro de <<period>> años"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "hace <<period>> días"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "hace <<period>> horas"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "hace <<period>> minutos"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "hace <<period>> meses"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "hace 1 segundo"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "hace <<period>> segundos"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "hace <<period>> años"
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Animaciones que pueden usarse con RevealWidget"
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Comandos que pueden ejecutarse en Node.js"
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Datos para insertar en `$tw.config`"
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Operadores individuales de filtrado"
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Datos globales para insertar en `$tw`"
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Operandos para el operador ''is''"
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "Definiciones macro de JavaScript."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Reglas sintácticas para diversos tipos de contenido."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Guarda archivos desde el navegador con diferentes métodos."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Funciones de inicio"
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Personaliza la animación y comportamiento de listas"
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Convierte diferentes tipos de contenido en tiddlers"
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Define el comportamiento de un campo individual"
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Añade métodos al prototipo `$tw.Tiddler`"
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Aplica la actualización a los tiddlers durante el proceso de actualización/importación."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Añade métodos a `$tw.utils`"
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Añade métodos específicos de Node.js a `$tw.utils`"
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Encapsula la representación y recarga de ''DOM''"
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Añade métodos a `$tw.Wiki`"
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Reglas individuales del intérprete principal de WikiText"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "Este es un tiddler externo, es decir, guardado fuera del archivo TiddlyWiki principal <br>"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Escribe el texto aquí"
},
"$:/language/EditTemplate/Body/Preview/Type/Output": {
"title": "$:/language/EditTemplate/Body/Preview/Type/Output",
"text": "Output"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "Eliminar campo"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Elimina el campo y su valor"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "Añadir campo"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "Campos de sistema"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "Campos de usuario"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "Nombre"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Añadir"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "Valor"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "Este es un tiddler oculto modificado<br>"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "Este es un tiddler oculto<br>"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "Añadir"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "Nombre"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "Etiquetas"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Muestra la lista de etiquetas existentes"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "Borrar"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Borra el tipo de contenido"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "Tipos de contenido"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Muestra la lista de tipos disponibles"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "Nuevo tipo"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Tipo:"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "Archivo de tipo .CSV"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "Archivo de tipo .JSON"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Cadena de tiddlers como .HTML estático"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "Tiddler individual como archivo \".tid\""
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "Dirección (URI) completa -absoluta o relativa- de un tiddler externo de imagen"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "Nombre de la bolsa de la que procede un tiddler"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "Texto que se muestra en una pestaña o botón, con independencia del título del tiddler que lo define"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "Valor CSS del color de fondo asociado a un tiddler"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "Nombre del componente responsable de un [[tiddler de alerta|AlertMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "Fecha de creación del tiddler"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "Nombre del autor del tiddler"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Usado para incluir el tiddler superior en una [[historia|HistoryMechanism]]"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "En un complemento o extensión, lista de sus dependencias"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "Descripción de un complemento, extensión, o diálogo modal"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "Título del tiddler del que el actual es borrador"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "Nuevo título propuesto para el presente borrador"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "Texto al pie que figurará en un asistente"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "Nombre del tiddler que contiene el icono que se quiere asociar al presente tiddler"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "Si su valor es \"Sí\", indica que el tiddler debe guardarse como librería de JavaScript"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "Lista ordenada de tiddlers asociados al presente tiddler"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "Título del tiddler tras el que el presente será añadido a una lista de tiddlers."
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "Título del tiddler antes del que el presente será añadido a una lista<br>"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "Fecha y hora de última modificación"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "Nombre del tiddler asociado con quien modificó por última vez el presente tiddler"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "Nombre asociado con un complemento o extensión"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "Valor numérico que indica la prioridad de un complemento o extensión"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "Tipo de complemento o extensión"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Fecha de la edición de TiddlyWiki"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "Revisión del tiddler existente en el servidor"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "Dirección de la fuente asociada a un tiddler"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "Subtítulo que figurará en un asistente"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "Lista de etiquetas asignadas al tiddler"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "Texto principal de un tiddler"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "Nombre único de un tiddler"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "Tipo de contenido en un tiddler"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Versión de un complemento o extensión"
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "Todas las etiquetas, excepto las de sistema"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "Todos los tiddlers, excepto los de sistema"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Borradores"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Tiddlers vacíos"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Tiddlers huérfanos"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Tiddlers ocultos anulados"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Tiddlers recientemente modificados, incluidos los de sistema"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Tiddlers recientemente modificados"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Tiddlers ocultos"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "Etiquetas de sistema"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "Tiddlers de sistema"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Tiddlers que no sonWikiText"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nBienvenido a TiddlyWiki y a su comunidad de usuarios\n\nAntes de guardar información importante en TiddlyWiki, es preciso que te asegures de poder hacerlo de manera fiable\n\nVisita https://tiddlywiki.com/#GettingStarted para más información (en inglés)\n!! Configura este ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nConsulta más opciones en el [[panel de control|$:/ControlPanel]]\n"
},
"$:/language/Help/build": {
"title": "$:/language/Help/build",
"description": "Ejecuta automáticamente los comandos configurados",
"text": "Compila los targets que se especifican.<br>\nSi no se especifica ninguno, se incluirán todos los disponibles\n\n```\n--build <target> [<target> ...]\n```\n\nLos targets se definen en el archivo `tiddlywiki.info`\n\n"
},
"$:/language/Help/clearpassword": {
"title": "$:/language/Help/clearpassword",
"description": "Anula la contraseña de las operaciones de cifrado subsiguientes",
"text": "Revoca la contraseña de las operaciones subsiguientes de cifrado\n```\n--clearpassword\n```\n"
},
"$:/language/Help/default": {
"title": "$:/language/Help/default",
"description": "",
"text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nUso: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nComandos disponibles:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nPara obtener ayuda sobre un comando en particular:\n\n```\ntiddlywiki --help <command>\n```\n"
},
"$:/language/Help/editions": {
"title": "$:/language/Help/editions",
"description": "Devuelve una lista de ediciones disponibles de TiddlyWiki",
"text": "Lista y descripción de las ediciones disponibles.<br>\nPuedes crear una edición específica con el comando `--init`.\n\n```\n--editions\n```\n"
},
"$:/language/Help/help": {
"title": "$:/language/Help/help",
"description": "Muestra texto de ayuda para comandos de TiddlyWiki",
"text": "Muestra ayuda para un comando:\n\n```\n--help [<command>]\n```\n\nSi se omite el comando, se muestra una lista de comandos disponibles\n"
},
"$:/language/Help/init": {
"title": "$:/language/Help/init",
"description": "Inicializa un nuevo WikiFolder",
"text": "Inicializa una [[WikiFolder|WikiFolders]] con una copia en blanco de la edición especificada.\n\n```\n--init <edition> [<edition> ...]\n```\n\nPor ejemplo:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNota:\n\n* Se creará un directorio para el wiki si es necesario\n\n* La edición por defecto es ''empty''\n\n* El comando `--init` fallará si el directorio no está vacío\n\n* El comando `--init` elimina toda definición de `includeWikis` contenida en el archivo `tiddlywiki.info`\n\n* Cuando se indican varias ediciones para su inicialización, las ediciones //planchan// sucesivamente todo archivo compartido, de modo que el \narchivo `tiddlywiki.info` final será el que corresponda a la última edición que se indique.\n\n* `--editions` muestra una lista de ediciones disponibles\n"
},
"$:/language/Help/load": {
"title": "$:/language/Help/load",
"description": "Carga tiddlers desde un archivo",
"text": "Carga tiddlers de archivos de tipo TiddlyWiki 2.x.x.(`.html`), `.tiddler`, `.tid`, `.json` u otros\n\n```\n--load <filepath>\n```\n\nPara cargar tiddlers de un TiddlyWiki encriptado, primero debes especificar la contraseña con el comando PasswordCommand. Por ejemplo:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nTen en cuenta que TiddlyWiki no carga complementos o extensiones anteriores a los ya cargados. \n"
},
"$:/language/Help/makelibrary": {
"title": "$:/language/Help/makelibrary",
"description": "Compila la librería de plugins necesaria para actualizar TiddlyWiki",
"text": "\nConstruye el tiddler `$:/UpgradeLibrary`: librería de actualización\n \nLa librería de actualización tiene formato de plugin ordinario, de tipo `library`<br>\nContiene copia de cada uno de los plugins, temas y paquetes de idioma disponibles en el repositorio de TiddlyWiki5\n\nEste comando es, en principio, para uso interno del equipo de TiddlyWiki y sólo es de interés para aquellos usuarios que deseen compilar actualizaciones personalizadas\n\n```\n--makelibrary <title>\n```\n\nEl título por defecto del tiddler resultante es `$:/UpgradeLibrary`.\n"
},
"$:/language/Help/notfound": {
"title": "$:/language/Help/notfound",
"description": "",
"text": "No existe tal elemento"
},
"$:/language/Help/output": {
"title": "$:/language/Help/output",
"description": "Establece el directorio de salida para los comandos siguientes",
"text": "Establece el directorio de salida para los comandos que le siguen <br>\nEl directorio por defecto es el subdirectorio `output`, en el directorio del wiki\n\n```\n--output <pathname>\n```\n\nSi la ruta especificada es relativa, se interpreta como relativa al directorio actual de trabajo<br>\nPor ejemplo: `--output .` establece como directorio de salida el actual directorio de trabajo\n"
},
"$:/language/Help/password": {
"title": "$:/language/Help/password",
"description": "Establece contraseña para operaciones de cifrado subsiguientes",
"text": "Establece contraseña para las operaciones subsiguientes de cifrado\n\n```\n--password <password>\n```\n\n"
},
"$:/language/Help/rendertiddler": {
"title": "$:/language/Help/rendertiddler",
"description": "Genera un tiddler del ContentType que se especifique",
"text": "Genera un tiddler del ContentType que se especifique (por defecto `text/html`) y lo guarda con el nombre de archivo especificado\n\n```\n--rendertiddler <title> <filename> [<type>]\n```\n\nPor defecto, el nombre de archivo es relativo al subdirectorio `output` en el directorio del wiki<br>\nPuede usarse el comando `--output` para dirigir la salida a cualquier otro directorio\n\nLos directorios no existentes en la ruta del nombre de archivo se crean automáticamente.\n"
},
"$:/language/Help/rendertiddlers": {
"title": "$:/language/Help/rendertiddlers",
"description": "Genera tiddlers coincidentes con un determinado ContentType",
"text": "Genera un conjunto de tiddlers de un determinado ContentType (por defecto `text/html`) y extensión de archivo (por defecto, `.html`), coincidentes con el argumento de un filtro\n\n```\n--rendertiddlers <filter> <template> <pathname> [<type>] [<extension>]\n```\n\nPor ejemplo:\n\n```\n--rendertiddlers [!is[system]] $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nPor defecto, la ruta es relativa al subdirectorio `output` del directorio del wiki<br>\nPuede usarse con el comando `--output` para dirigir la salida a un directorio diferente\n\nCualquier archivo existente en el directorio de destino será borrado<br>\nLos directorios no existentes en la ruta del nombre de archivo se crean automáticamente.\n"
},
"$:/language/Help/savetiddler": {
"title": "$:/language/Help/savetiddler",
"description": "Guarda un tiddler en un archivo",
"text": "Guarda un tiddler individual en formato binario o como texto plano con el nombre de archivo especificado.\n\n```\n--savetiddler <title> <filename>\n```\n\nPor defecto, la ruta es relativa al subdirectorio `output` del directorio del wiki<br>\nPuede usarse con el comando `--output` para dirigir la salida a un directorio diferente\n\nLos directorios no existentes en la ruta del nombre de archivo se crean automáticamente.\n"
},
"$:/language/Help/savetiddlers": {
"title": "$:/language/Help/savetiddlers",
"description": "Guarda un grupo de tiddlers de formato plano en un directorio",
"text": "Guarda un grupo de tiddlers en formato binario o como texto plano en el directorio especificado.\n\n```\n--savetiddlers <filter> <pathname>\n```\n\nPor defecto, la ruta es relativa al subdirectorio `output` del directorio del wiki<br>\nPuede usarse con el comando `--output` para dirigir la salida a un directorio diferente\n\nLos directorios no existentes en la ruta del nombre de archivo se crean automáticamente.\n"
},
"$:/language/Help/server": {
"title": "$:/language/Help/server",
"description": "Proporciona interfaz de servidor HTTP a TiddlyWiki",
"text": "El servidor compilado para TiddlyWiki5 es muy simple. Aunque es compatible con TiddlyWeb, no soporta muchas de las características necesarias para un uso robusto en Internet. \n\nEn la raíz, sirve un tiddler específico<br>\nFuera de la raíz, sirve tiddlers individuales codificados en JSON, y soporta operaciones básicas HTTP de `GET`, `PUT` y `DELETE`.\n\n```\n--server <port> <roottiddler> <rendertype> <servetype> <username> <password> <host> <pathprefix>\n```\n\nLos parámetros son\n\n* ''port'' - número de puerto desde el que sirve (por defecto, \"8080\")\n* ''roottiddler'' - tiddler que se sirve desde la raíz (por defecto, \"$:/core/save/all\")\n* ''rendertype'' - tipo de contenido con el que se genera el tiddler raíz (por defecto \"text/plain\")\n* ''servetype'' - tipo de contenido con el que se sirve el tiddler raíz (por defecto \"text/html\")\n* ''username'' - nombre de usuario por defecto que firma la edición\n* ''password'' - contraseña opcional para autenticación básica\n* ''host'' - nombre opcional del servidor desde el que se sirve (por defecto, \"127.0.0.1\" o \"localhost\")\n* ''pathprefix'' - prefijo opcional para rutas\n\nSi se ha definido contraseña, el navegador pedirá que se introduzca nombre y contraseña. <br>Nótese que la contraseña se transmite en modo texto por lo que esta implementación no es apropiada para uso general.\n\nPor ejemplo:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nEl nombre de usuario y la contraseña pueden ser especificados como cadenas de símbolos vacías si se necesita configurar el nombre del servidor o prefijo de ruta y no se requiere contraseña:\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nPara ejecutar simultáneamente múltiples servidores TiddlyWiki, deberán configurarse cada uno en un puerto diferente\n"
},
"$:/language/Help/setfield": {
"title": "$:/language/Help/setfield",
"description": "Prepara tiddlers externos para su uso",
"text": "//Téngase en cuenta que este comando es experimental y puede cambiar o ser reemplazado//\n\nConfigura el campo especificado de un grupo de tiddlers como resultado de una plantilla con la variable `currentTiddler`\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nSus parámetros son:\n\n* ''filter'' - filtro que identifica los tiddlers que se verán afectados\n* ''fieldname'' - el campo que será modificado (por defecto, \"text\")\n* ''templatetitle'' - el tiddler a ''wikify'' en el campo especificado. Si se deja en blanco o está ausente, el campo especificado es borrado. \n* ''rendertype'' - el tipo de texto a generar (por defecto, \"text/plain\"; se puede usar también \"text/html\" para incluir etiquetas HTML)\n"
},
"$:/language/Help/unpackplugin": {
"title": "$:/language/Help/unpackplugin",
"description": "Desenpaqueta los tiddlers de carga de un plugin",
"text": "Extrae los tiddlers de un plugin y los presenta como tiddlers ordinarios\n\n```\n--unpackplugin <title>\n```\n"
},
"$:/language/Help/verbose": {
"title": "$:/language/Help/verbose",
"description": "Activa el modo de salida como texto indefinido",
"text": "Genera texto aleatorio, útil para depurar errores\n\n```\n--verbose\n```\n"
},
"$:/language/Help/version": {
"title": "$:/language/Help/version",
"description": "Muestra el número de versión de TiddlyWiki",
"text": "Muestra el número de versión de TiddlyWiki\n\n```\n--version\n```\n"
},
"$:/language/Import/Imported/Hint": {
"title": "$:/language/Import/Imported/Hint",
"text": "Se importaron los siguientes tiddlers"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Cancelar"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "Tiddlers listos para importar"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Importar"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Seleccionar"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Estado"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Título"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Plugin bloqueado, incompatible u obsoleto"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Plugin bloqueado debido a que <<incoming>> es más antiguo que el <<existing>>"
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Plugin actualizado de <<incoming>> a <<upgraded>>"
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Tiddler temporal bloqueado"
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Tiddler de sistema bloqueado"
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Ajuste de tema migrado de <$text text=<<from>>/>"
},
"$:/language/AboveStory/ClassicPlugin/Warning": {
"title": "$:/language/AboveStory/ClassicPlugin/Warning",
"text": "Parece que quieres cargar un plugin diseñado para ~TiddlyWiki Classic. <br>"
},
"$:/language/Ten en cuenta que [[estos plugins no funcionan en TiddlyWiki version 5.x.x|https": {
"title": "$:/language/Ten en cuenta que [[estos plugins no funcionan en TiddlyWiki version 5.x.x|https",
"text": "/tiddlywiki.com/#TiddlyWikiClassic]]<br>"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "Este tiddler contiene datos binarios"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "Este tiddler está escrito en formato de texto de una versión de TiddlyWiki Classic que no es totalmente compatible con la versión 5 de TiddlyWiki<br>"
},
"$:/language/Visite https": {
"title": "$:/language/Visite https",
"text": "/tiddlywiki.com/static/Upgrading.html para más información"
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "Actualizar"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "Cerrar todo"
},
"$:/language/ColourPicker/Recent": {
"title": "$:/language/ColourPicker/Recent",
"text": "Recientes:"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "¿Deseas descartar los cambios efectuados en \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "¿Deseas borrar \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "Estás a punto de editar un tiddler oculto<br>"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "¿Deseas sobreescribir \"<$text text=<<title>>/>\"?"
},
"$:/language/Count": {
"title": "$:/language/Count",
"text": "Número"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "Nuevo Tiddler"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Suéltalo aquí o pulsa ''ESC'' para cancelar"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Cancelar"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "¿Deseas borrar la contraseña? <br>"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Contraseña"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Las contraseñas no coinciden"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Especifica nueva contraseña para este TiddlyWiki"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Repite la contraseña"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Establecer contraseña"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Usuario"
},
"$:/language/InternalJavaScriptError/Hint": {
"title": "$:/language/InternalJavaScriptError/Hint",
"text": "Tenemos un problema. Se recomienda que reinicies TiddlyWiki"
},
"$:/language/InternalJavaScriptError/Title": {
"title": "$:/language/InternalJavaScriptError/Title",
"text": "Error interno de JavaScript"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Caracteres ilegales en el campo \"<$text text=<<fieldName>>/>\"<br>"
},
"$:/language/LazyLoadingWarning": {
"title": "$:/language/LazyLoadingWarning",
"text": "<p>Cargando texto externo desde ''<$text text={{!!_canonical_uri}}/>''</p><p>Si este mensaje no desaparece, puede que se deba a que estás usando un navegador que con esta configuración no permite texto externo</br>"
},
"$:/language/Vea https": {
"title": "$:/language/Vea https",
"text": "/tiddlywiki.com/#ExternalText</p>"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "El tiddler \"<$text text=<<currentTiddler>>/>\" no existe - haz clic en {{||$:/core/ui/Buttons/edit}} para crearlo"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Librería de plugins oficiales de ~TiddlyWiki"
},
"$:/language/OfficialPluginLibrary/Hint": {
"title": "$:/language/OfficialPluginLibrary/Hint",
"text": "Librería de plugins oficiales de ~TiddlyWiki en tiddlywiki.com<br>"
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Guarda {{$:/core/ui/Buttons/save-wiki}} y recarga {{$:/core/ui/Buttons/refresh}} para que los cambios surtan efecto."
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DD MMM YYYY"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "Este es un tiddler de sistema"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Color"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Número"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Icono"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Información"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Etiqueta"
},
"$:/language/Tiddler/DateFormat": {
"title": "$:/language/Tiddler/DateFormat",
"text": "DD MMM YYYY a las hh:0mm"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "Tienes cambios sin guardar en TiddlyWiki"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"type": "text/vnd.tiddlywiki",
"subtitle": "Download changes",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Tu navegador sólo permite guardar manualmente\n\nPara guardar el wiki, haz clic con el botón derecho en el enlace de más abajo y selecciona \"Descargar archivo\" o \"Guardar enlace como...\" y selecciona a continuación la carpeta y el nombre que quieres darle\n\n//Puedes acelerar ligeramente estas acciones haciendo clic en el enlace conjuntamente con la tecla \"Control\" (Windows) o con la tecla \"Option\" (Mac OS X)<br>\nNo se te pedirán carpeta ni nombre, sino que se asignará automáticamente un nombre probablemente irreconocible -- necesitarás cambiar el nombre y darle extensión `.html` para usarlo//\n\nEn el caso de teléfonos móviles que no permiten la descarga de archivos, puedes marcar el enlace como favorito y luego sincronizar favoritos con tu ordenador y descargarlo normalmente desde ahí\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"type": "text/vnd.tiddlywiki",
"subtitle": "Save your work",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/SavingChanges.html",
"text": "Los cambios realizados a este wiki necesitan ser guardados como archivo ~TiddlyWiki HTML.\n\n!!! Navegadores de ordenador\n\n# Selecciona ''Guardar como'' en el menú ''Archivo''\n# Elige nombre de archivo y directorio\n#* Algunos navegadores también piden que especifiques el formato como ''Página web, sólo HTML'' o similar\n# Cierra esta pestaña\n\n!!! Navegadores en teléfonos o tabletas\n\n# Añade la página a tus favoritos\n#* Si tienes iCloud o Google Sync los favoritos se sincronizarán automáticamente con tu ordenador, desde donde puedes abrirlos o guardarlos como se explica más arriba\n# Cierra esta pestaña\n\n//Si en Mobile Safari vuelves a abrir los favoritos, volverás a ver este mensaje. Si quieres continuar y usar el archivo, simplemente cierra haciendo clic en el boton de cerrar indicado abajo.//\n"
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"text": "Diario"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DD de MMM de YYYY"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Guardado"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Comenzando a guardar"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "Lista"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Filtro"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Búsqueda por medio de [[expresiones de filtrado|https://tiddlywiki.com/static/Filters.html]] <small> (instrucciones en inglés)</small>"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> coincidencias</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> coincidencias </small>//"
},
"$:/language/Search/Matches/All": {
"title": "$:/language/Search/Matches/All",
"text": "Cualquier coincidencia"
},
"$:/language/Search/Matches/Title": {
"title": "$:/language/Search/Matches/Title",
"text": "En título"
},
"$:/language/Search/Search": {
"title": "$:/language/Search/Search",
"text": "Búsqueda"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Ocultos"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Busca en los tiddlers ocultos"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> coincidencias </small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Estándar"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Busca en los tiddlers estándar"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> coincidencias </small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "Sistema"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Busca en los tiddlers de sistema"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> coincidencias </small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "Todos"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Contenido"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Borradores"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Vacíos"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "Más"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Abiertos"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Huérfanos"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Recientes"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Ocultos"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "Sistema"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Etiquetas"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "Sin etiqueta"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Herramientas"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Tipos"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "Cuaderno de notas personal no-lineal en la web"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "Mi ~TiddlyWiki"
},
"$:/language/Snippets/ListByTag": {
"title": "$:/language/Snippets/ListByTag",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Liste de tiddlers par etiqueta",
"text": "<<list-links \"[tag[task]sort[title]]\">>\n"
},
"$:/language/Snippets/MacroDefinition": {
"title": "$:/language/Snippets/MacroDefinition",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Macro definition",
"text": "\\define macroName(param1:\"default value\",param2)\nTexto de la macro\n\\end\n"
},
"$:/language/Snippets/Table4x3": {
"title": "$:/language/Snippets/Table4x3",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table with 4 columns by 3 rows",
"text": "|! |!Alfa |!Beta |!Gamma |!Delta |\n|!Uno | | | | |\n|!Dos | | | | |\n|!Tres | | | | |\n"
},
"$:/language/Snippets/TableOfContents": {
"title": "$:/language/Snippets/TableOfContents",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table of Contents",
"text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Avanzado"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "No se han instalado"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Detalles del plugin"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "Este plugin contiene los siguientes tiddlers ocultos"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Oculto"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "El tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> no es de tipo oculto"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "Anulado por un tiddler estándar"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "El tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> es de tipo oculto"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "Definido en el plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Campos"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "Lista"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "Este tiddler no contiene listas"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "En lista de"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "Este tiddler no figura en la lista de ningún otro"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "Referencias"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "Ningún otro tiddler enlaza a este"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Etiquetado"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "Ningún otro tiddler tiene esta misma etiqueta"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Herramientas"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "Código JavaScript",
"name": "application/javascript",
"group": "Desarrollador"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "Datos JSON",
"name": "application/json",
"group": "Desarrollador"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Diccionario de datos",
"name": "application/x-tiddler-dictionary",
"group": "Desarrollador"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "Imagen .GIF",
"name": "image/gif",
"group": "Imagen"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "Imagen .JPEG",
"name": "image/jpeg",
"group": "Imagen"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "Imagen .PNG",
"name": "image/png",
"group": "Imagen"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "Imagen .SVG",
"name": "image/svg+xml",
"group": "Imagen"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "Archivo de icono en formato .ICO",
"name": "image/x-icon",
"group": "Imagen"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Hoja de estilos estática",
"name": "text/css",
"group": "Desarrollador"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "Lenguaje de marcado HTML",
"name": "text/html",
"group": "Texto"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Texto plano",
"name": "text/plain",
"group": "Texto"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Texto"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Texto"
},
"$:/languages/es-ES/icon": {
"title": "$:/languages/es-ES/icon",
"type": "image/svg+xml",
"text": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" height=\"500\" width=\"750\">\n<rect width=\"750\" height=\"500\" fill=\"#c60b1e\"/>\n<rect width=\"750\" height=\"250\" y=\"125\" fill=\"#ffc400\"/>\n<g id=\"coa\" stroke=\"#000\" stroke-width=\"0.39\">\n<g id=\"supporters\">\n<g id=\"crown_left\" stroke-width=\"0.26\">\n<path fill=\"#ad1519\" stroke-linejoin=\"round\" d=\"m167.99 222.24s-0.51 0-0.79-0.16-1.13-0.96-1.13-0.96l-0.68-0.49-0.62-0.85s-0.73-1.18-0.4-2.09c0.34-0.91 0.91-1.23 1.42-1.5 0.51-0.26 1.58-0.59 1.58-0.59s0.85-0.37 1.13-0.42c0.28-0.06 1.3-0.32 1.3-0.32s0.28-0.16 0.56-0.27c0.29-0.11 0.68-0.11 0.91-0.16 0.22-0.06 0.79-0.24 1.13-0.26 0.52-0.02 1.36 0.1 1.64 0.1s1.24 0.05 1.64 0.05c0.39 0 1.8-0.11 2.2-0.11 0.39 0 0.68-0.05 1.13 0 0.45 0.06 1.24 0.32 1.47 0.43s1.58 0.59 2.09 0.75 1.75 0.37 2.32 0.64c0.56 0.27 0.91 0.72 1.19 1.1 0.28 0.37 0.34 0.78 0.45 1.05 0.11 0.26 0.11 0.84 0 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0.15-0.02 0.85 0.35-0.17 0.52\"/>\n<path d=\"m283.97 233.66l-0.18 0.52 0.85 0.34 0.16-0.02 0.03-0.14-0.3-0.83-0.56 0.13\"/>\n<path d=\"m284.91 234.63c0.12-0.11 0.12-0.28 0.02-0.39-0.11-0.11-0.29-0.11-0.41-0.02-0.11 0.11-0.12 0.28-0.01 0.39 0.1 0.11 0.29 0.12 0.4 0.02z\"/>\n<path d=\"m286.29 236.43c0 0.01 0.5 0.03 0.79 0.09 0.2 0.04 0.52 0.27 0.52 0.27 0.06-0.04 0.12-0.42-0.28-0.79-0.39-0.28-0.88 0.22-0.88 0.22s-0.12 0.12-0.15 0.21z\"/>\n<path d=\"m285.75 235.54l-0.29 0.46 0.76 0.51 0.09-0.08 0.13-0.04-0.12-0.88-0.57 0.03\"/>\n<path d=\"m286.37 236.53c0.14-0.07 0.21-0.22 0.15-0.31s-0.22-0.1-0.36-0.02-0.2 0.22-0.14 0.31c0.05 0.09 0.21 0.1 0.35 0.02z\"/>\n</g>\n</g>\n<g id=\"inescutcheon\" stroke-width=\"0.61\">\n<ellipse fill=\"#ad1519\" cx=\"250.43\" cy=\"281.01\" rx=\"16.26\" ry=\"18.3\"/>\n<ellipse fill=\"#005bbf\" cx=\"250.44\" cy=\"280.97\" rx=\"11.44\" ry=\"13.42\"/>\n<g id=\"fdl\" fill=\"#c8b100\" stroke-width=\"0.34\">\n<path stroke-linejoin=\"round\" d=\"m245.03 271.74s-1.35 1.48-1.35 2.86c0 1.39 0.57 2.54 0.57 2.54-0.21-0.55-0.76-0.94-1.41-0.94-0.83 0-1.5 0.63-1.5 1.42 0 0.22 0.14 0.58 0.24 0.77l0.49 0.99c0.16-0.37 0.54-0.57 0.98-0.57 0.59 0 1.08 0.45 1.08 1.01 0 0.09-0.01 0.17-0.04 0.25l-1.22 0.01v1.03h1.09l-0.81 1.61 1.07-0.42 0.81 0.91 0.84-0.91 1.07 0.42-0.8-1.61h1.08v-1.03l-1.22-0.01c-0.02-0.08-0.02-0.16-0.02-0.25 0-0.56 0.47-1.01 1.06-1.01 0.44 0 0.82 0.2 0.98 0.57l0.49-0.99c0.1-0.19 0.24-0.55 0.24-0.77 0-0.79-0.67-1.42-1.49-1.42-0.66 0-1.21 0.39-1.41 0.94 0 0 0.57-1.15 0.57-2.54 0-1.38-1.39-2.86-1.39-2.86z\"/>\n<path d=\"m242.87 281.11h4.36v-1.03h-4.36v1.03z\"/>\n</g>\n<use xlink:href=\"#fdl\" x=\"10.63\"/>\n<use xlink:href=\"#fdl\" x=\"5.31\" y=\"9.14\"/>\n</g>\n</g>\n</g>\n</svg>"
}
}
}
alert-background: #ffe476
alert-border: #b99e2f
alert-highlight: #881122
alert-muted-foreground: #b99e2f
background: #ffffff
blockquote-bar: <<colour muted-foreground>>
button-background:
button-foreground:
button-border:
code-background: #f7f7f9
code-border: #e1e1e8
code-foreground: #dd1144
diff-delete-background: #ffc9c9
diff-delete-foreground: <<colour foreground>>
diff-equal-background:
diff-equal-foreground: <<colour foreground>>
diff-insert-background: #aaefad
diff-insert-foreground: <<colour foreground>>
diff-invisible-background:
diff-invisible-foreground: <<colour muted-foreground>>
dirty-indicator: #ff0000
download-background: #34c734
download-foreground: <<colour background>>
dragger-background: <<colour foreground>>
dragger-foreground: <<colour background>>
dropdown-background: <<colour background>>
dropdown-border: <<colour muted-foreground>>
dropdown-tab-background-selected: #fff
dropdown-tab-background: #ececec
dropzone-background: rgba(0,200,0,0.7)
external-link-background-hover: inherit
external-link-background-visited: inherit
external-link-background: inherit
external-link-foreground-hover: inherit
external-link-foreground-visited: #0000aa
external-link-foreground: #0000ee
foreground: #333333
message-background: #ecf2ff
message-border: #cfd6e6
message-foreground: #547599
modal-backdrop: <<colour foreground>>
modal-background: <<colour background>>
modal-border: #999999
modal-footer-background: #f5f5f5
modal-footer-border: #dddddd
modal-header-border: #eeeeee
muted-foreground: #bbb
notification-background: #ffffdd
notification-border: #999999
page-background: #fff
pre-background: #f5f5f5
pre-border: #cccccc
primary: #5778d8
select-tag-background:
select-tag-foreground:
sidebar-button-foreground: <<colour foreground>>
sidebar-controls-foreground-hover: #000000
sidebar-controls-foreground: #aaaaaa
sidebar-foreground-shadow: rgba(255,255,255, 0.8)
sidebar-foreground: #acacac
sidebar-muted-foreground-hover: #444444
sidebar-muted-foreground: #c0c0c0
sidebar-tab-background-selected: #f4f4f4
sidebar-tab-background: #e0e0e0
sidebar-tab-border-selected: <<colour tab-border-selected>>
sidebar-tab-border: <<colour tab-border>>
sidebar-tab-divider: #e4e4e4
sidebar-tab-foreground-selected:
sidebar-tab-foreground: <<colour tab-foreground>>
sidebar-tiddler-link-foreground-hover: #444444
sidebar-tiddler-link-foreground: #999999
site-title-foreground: <<colour tiddler-title-foreground>>
static-alert-foreground: #aaaaaa
tab-background-selected: #ffffff
tab-background: #d8d8d8
tab-border-selected: #d8d8d8
tab-border: #cccccc
tab-divider: #d8d8d8
tab-foreground-selected: <<colour tab-foreground>>
tab-foreground: #666666
table-border: #dddddd
table-footer-background: #a8a8a8
table-header-background: #f0f0f0
tag-background: #ec6
tag-foreground: #ffffff
tiddler-background: #f1f1f1
tiddler-border: #b1b1b1
tiddler-controls-foreground-hover: #888888
tiddler-controls-foreground-selected: #444444
tiddler-controls-foreground: #cccccc
tiddler-editor-background: #eee
tiddler-editor-border-image: #ffffff
tiddler-editor-border: #cccccc
tiddler-editor-fields-even: #e0e8e0
tiddler-editor-fields-odd: #f0f4f0
tiddler-info-background: #f8f8f8
tiddler-info-border: #dddddd
tiddler-info-tab-background: #f8f8f8
tiddler-link-background: <<colour background>>
tiddler-link-foreground: <<colour primary>>
tiddler-subtitle-foreground: #c0c0c0
tiddler-title-foreground: #00c
toolbar-new-button:
toolbar-options-button:
toolbar-save-button:
toolbar-info-button:
toolbar-edit-button:
toolbar-close-button:
toolbar-delete-button:
toolbar-cancel-button:
toolbar-done-button:
untagged-background: #999999
very-muted-foreground: #888888
.matched {background-color:#ffc;}
.tw-context {
border:0px solid #eee;background-color:#eee;
word-break: break-all; word-wrap: break-word;}
{
"tiddlers": {
"$:/plugins/danielo515/ContextPlugin/widgets/context.js": {
"created": "20140418153435777",
"creator": "danielo",
"modified": "20140530231943517",
"modifier": "danielo",
"module-type": "widget",
"title": "$:/plugins/danielo515/ContextPlugin/widgets/context.js",
"type": "application/javascript",
"text": "/*\\\\\ntitle: $:/core/modules/widgets/danielo/context-widget.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar contextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\ncontextWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\ncontextWidget.prototype.render = function(parent,nextSibling) {\n // Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n \n if(this.term && this.term.length>3){\n \n this.createRegexp();\n var matches = this.executeRegexp();\n\t if(matches.length > 0){ \n this.domNode = this.document.createElement(this.element);\n this.domNode.className=\"tw-context\";\n this.composeResults( matches ); //this appends to domNode \n \t// Insert element\n \tparent.insertBefore(this.domNode,nextSibling);\n \tthis.renderChildren(this.domNode,null);\n\t \tthis.domNodes.push(this.domNode);\n }\n }\n\t\n};\n\n/*\nCompute the internal state of the widget\n*/\ncontextWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n this.matchedClass = this.getAttribute(\"matchClass\",\"matched\");\n\tthis.tiddler = this.getAttribute( \"tiddler\",this.getVariable(\"currentTiddler\") );\n this.term = this.getAttribute(\"term\",this.getAttribute(\"searchTerm\"));\n\tthis.contextLength = this.getAttribute(\"length\",50);\n this.before = this.getAttribute(\"before\",this.contextLength);\n this.after = this.getAttribute(\"after\",this.contextLength);\n this.maxMatches = this.getAttribute(\"maxMatches\",10);\n this.element = this.getAttribute(\"element\",\"pre\");\n\tthis.makeChildWidgets();\n};\n\n /*Create the regular expression*/\ncontextWidget.prototype.createRegexp = function()\n{\n var regString = \"(\\\\w+[\\\\s\\\\S]{0,#before#})?(#term#)([\\\\s\\\\S]{0,#after#}\\\\w+)?\";\n\n var regString = regString.replace(\"#before#\",this.before).replace(\"#term#\", $tw.utils.escapeRegExp(this.term) ) .replace(\"#after#\",this.after);\n this.regexp = new RegExp(regString,\"ig\");\n //console.log(regString);\n};\n/*\nexecute the regular expresion\n*/\ncontextWidget.prototype.executeRegexp = function()\n{\n var text = this.wiki.getTiddlerText(this.tiddler), match,results = new Array();\n while( (match = this.regexp.exec( text ) ) && (results.length < this.maxMatches) )\n { results.push(match) }\n //console.log(\"matches\",results);\n return results;\n};\n\n/*\ncompose the results\nmatches : array of match objects from regular expression execute\n*/\ncontextWidget.prototype.composeResults = function(matches){\n var result=[], self=this, node = this.domNode,\n dots = textNode(\"...\\n\"),\n span = matchedNode( this.term );\n\n for(var i=0; i < matches.length; i++){\n processMatch( matches[i] );\n }\n \n function processMatch(match){\n if( match.index !== 0) node.appendChild( dots.cloneNode(true) );\n for( var i=1;i<match.length;i++ ) {//match[0] full matched text (all groups together)\n if( match[i] ) {\n if ( match[i].toLowerCase() == self.term.toLowerCase() ) \n node.appendChild( match[i] == self.term ? span.cloneNode(true) : matchedNode( match[i] ) )\n else\n node.appendChild( textNode( match[i]) )\n }\n }\n if( match.index + match[0].length < match.input.length) node.appendChild( dots.cloneNode(true) );\n }\n \n function textNode(text){ return self.document.createTextNode(text) }\n function matchedNode(text) { \n var node = self.document.createElement(\"span\"); node.appendChild( textNode(text) ); node.className = self.matchedClass;\n return node }\n \n};\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\ncontextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.term || changedAttributes.length || changedAttributes.matchedClass) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n return this.refreshChildren(changedTiddlers);\n};\n\nexports.context = contextWidget;\n\n})();"
},
"$:/plugins/danielo515/ContextPlugin/visualizer": {
"title": "$:/plugins/danielo515/ContextPlugin/visualizer",
"tags": "$:/tags/SearchResults",
"caption": "Context",
"text": "<$list filter=\"[!is[system]search{$:/temp/search}sort[title]limit[250]]\">\r\n {{!!title||$:/core/ui/ListItemTemplate}}\r\n <$context term={{$:/temp/search}} />\r\n</$list>\r\n"
},
"$:/plugins/danielo515/ContextPlugin/Stylesheet/results": {
"created": "20140529162823729",
"tags": "$:/tags/Stylesheet contextPlugin",
"title": "$:/plugins/danielo515/ContextPlugin/Stylesheet/results",
"type": "text/css",
"text": ".matched{background-color:yellow}\n.tw-context {/*border:1px solid;\n /*word-break: break-all; word-wrap: break-word*/}"
},
"$:/plugins/danielo515/ContextPlugin/Caption": {
"created": "20140530174219263",
"tags": "contextPlugin",
"title": "$:/plugins/danielo515/ContextPlugin/Caption",
"type": "text/vnd.tiddlywiki",
"text": "Context search"
},
"Context Search": {
"caption": "{{$:/plugins/danielo515/ContextPlugin/Caption}}",
"created": "20140530173407542",
"tags": "$:/tags/AdvancedSearch",
"title": "Context Search",
"type": "text/vnd.tiddlywiki",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tw-search\"><$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/><$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\"> <$link to=\"\" class=\"btn-invisible\">{{$:/core/images/close-button}}</$link></$reveal></div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<div class=\"tw-search-results\">\n\n<<lingo Standard/Matches>>\n\n<$list filter=\"[!is[system]search{$:/temp/advancedsearch}sort[title]limit[250]]\">\n{{!!title||$:/core/ui/ListItemTemplate}}\n<$context term={{$:/temp/advancedsearch}}/>\n</$list>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/plugins/danielo515/ContextPlugin/readme": {
"title": "$:/plugins/danielo515/ContextPlugin/readme",
"text": "!Usage\n\nAfter installing the plugin you will have a new tab in [[$:/AdvancedSearch]] called [[Context Search]]. If you want this functionality in other places you will have to edit the desired tiddler yourself adding the ''context widget''. For more details about using the widget see the section below.\n\n!!Using the widget\n\nThe very basic usage of the widget is the following:\n\n```\r\n<$context term=\"lorem\"/>\r\n```\r\nWhich will render as:\r\n<$context term=\"lorem\"/>\n\nThe widgets will search inside the current tiddler by default. Because that you see the same content twice here. This example is not very useful. Other more meaningful would be:\n\n```\r\n<$list filter=\"[search{$:/temp/advancedsearch}sort[title]limit[250]]\">\r\n{{!!title||$:/core/ui/ListItemTemplate}}\r\n<$context term={{$:/temp/advancedsearch}}/>\r\n</$list>\r\n```\n\nThat will search for tiddlers containing the text specified in [[$:/temp/advancedsearch]] and will display a link to the matching tiddlers plus a preview of the matching content. Something very similar is used in [[Context Search]]. Below you can find a complete list of parameters and their default values.\n\n|! parameter |! description | !default |\r\n| term | The term you want to search ||\r\n| searchTerm | An alias for the previous one ||\r\n| tiddler | The tiddler's name to look into | current tiddler |\r\n| length | Number of context characters to show | 50 |\r\n| before | Number of characters before the matched term to show | the value of the length parameter |\r\n| after | Number of characters after the matched term to show | the value of the length parameter |\r\n| maxMatches | maximun number of matched elements to show. Incrementing this can cause several performance issues | 10 |\r\n| element | Node element to create. This element will contain the results of the search. If you want to style it its class is `tw-context` | `<pre>` |\r\n| matchClass | The css class to assign to the matched terms in the results. This is used to highlight the results | matched |\n\n!Customizing the output\r\nThere are not many ways to customize the output of this widget. You can specify ''what type of node you want to create'' to wrap the results (div,span...). The default is `<pre>`. This container is created with the class `tw-context` so you can easily apply styles to it. Something similar happens to the ''highlighted'' words. You can specify the name of the class to assign to it and also you can apply styles to that class.\n\nA very basic example of customization could be:\n\n# Create a tiddler, for example [[$/plugins/danielo515/context/css]]\r\n# Paste the following text or any css rule you want: \"\"\"\n\n<pre>\r\n.matched{background-color:yellow}\r\n.tw-context {\r\n border:1px solid blue;\r\n word-break: break-all; word-wrap: break-word;}\r\n</pre>\r\n\"\"\"\r\n# Tag it with `$:/tags/stylesheet`\r\n# Save the tiddler"
}
}
}
/*\\
title: $:/core/modules/widgets/danielo/context-widget.js
type: application/javascript
module-type: widget
Edit-text widget
\*/
(function(){
/*jslint node: true, browser: true */
/*global $tc: false */
"use strict";
var Widget = require("$:/core/modules/widgets/widget.js").widget;
var contextWidget = function(parseTreeNode,options) {
this.initialise(parseTreeNode,options);
};
/*
Inherit from the base widget class
*/
contextWidget.prototype = new Widget();
/*
Render this widget into the DOM
*/
contextWidget.prototype.render = function(parent,nextSibling) {
// Save the parent dom node
this.parentDomNode = parent;
// Compute our attributes
this.computeAttributes();
// Execute our logic
this.execute();
if(this.term && this.term.length>3){
this.createRegexp();
var matches = this.executeRegexp();
if(matches.length > 0){
this.domNode = this.document.createElement(this.element);
this.domNode.className="tw-context";
this.composeResults( matches ); //this appends to domNode
// Insert element
parent.insertBefore(this.domNode,nextSibling);
this.renderChildren(this.domNode,null);
this.domNodes.push(this.domNode);
}
}
};
/*
Compute the internal state of the widget
*/
contextWidget.prototype.execute = function() {
// Get the parameters from the attributes
this.matchedClass = this.getAttribute("matchClass","matched");
this.tiddler = this.getAttribute( "tiddler",this.getVariable("currentTiddler") );
this.term = this.getAttribute("term",this.getAttribute("searchTerm"));
this.contextLength = this.getAttribute("length",50);
this.before = this.getAttribute("before",this.contextLength);
this.after = this.getAttribute("after",this.contextLength);
this.maxMatches = this.getAttribute("maxMatches",10);
this.element = this.getAttribute("element","pre");
this.makeChildWidgets();
};
/*Create the regular expression*/
contextWidget.prototype.createRegexp = function()
{
var regString = "(\\w+[\\s\\S]{0,#before#})?(#term#)([\\s\\S]{0,#after#}\\w+)?";
var regString = regString.replace("#before#",this.before).replace("#term#", $tw.utils.escapeRegExp(this.term) ) .replace("#after#",this.after);
this.regexp = new RegExp(regString,"ig");
//console.log(regString);
};
/*
execute the regular expresion
*/
contextWidget.prototype.executeRegexp = function()
{
var text = this.wiki.getTiddlerText(this.tiddler), match,results = new Array();
while( (match = this.regexp.exec( text ) ) && (results.length < this.maxMatches) )
{ results.push(match) }
//console.log("matches",results);
return results;
};
/*
compose the results
matches : array of match objects from regular expression execute
*/
contextWidget.prototype.composeResults = function(matches){
var result=[], self=this, node = this.domNode,
dots = textNode("...\n"),
span = matchedNode( this.term );
for(var i=0; i < matches.length; i++){
processMatch( matches[i] );
}
function processMatch(match){
if( match.index !== 0) node.appendChild( dots.cloneNode(true) );
for( var i=1;i<match.length;i++ ) {//match[0] full matched text (all groups together)
if( match[i] ) {
if ( match[i].toLowerCase() == self.term.toLowerCase() )
node.appendChild( match[i] == self.term ? span.cloneNode(true) : matchedNode( match[i] ) )
else
node.appendChild( textNode( match[i]) )
}
}
if( match.index + match[0].length < match.input.length) node.appendChild( dots.cloneNode(true) );
}
function textNode(text){ return self.document.createTextNode(text) }
function matchedNode(text) {
var node = self.document.createElement("span"); node.appendChild( textNode(text) ); node.className = self.matchedClass;
return node }
};
/*
Selectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering
*/
contextWidget.prototype.refresh = function(changedTiddlers) {
var changedAttributes = this.computeAttributes();
if(changedAttributes.tiddler || changedAttributes.term || changedAttributes.length || changedAttributes.matchedClass) {
this.refreshSelf();
return true;
}
return this.refreshChildren(changedTiddlers);
};
exports.context = contextWidget;
})();
{
"tiddlers": {
"$:/plugins/felixhayashi/hotzone/config.js": {
"title": "$:/plugins/felixhayashi/hotzone/config.js",
"text": "/*\\\n\ntitle: $:/plugins/felixhayashi/hotzone/config.js\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n(function(){\"use strict\";exports.config={classNames:{storyRiver:\"tc-story-river\",tiddlerFrame:\"tc-tiddler-frame\",tiddlerTitle:\"tc-title\"},references:{userConfig:\"$:/config/hotzone/focusOffset\",focussedTiddlerStore:\"$:/temp/focussedTiddler\"},checkbackTime:$tw.utils.getAnimationDuration()}})();",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/hotzone/hotzone.js": {
"title": "$:/plugins/felixhayashi/hotzone/hotzone.js",
"text": "/*\\\n\ntitle: $:/plugins/felixhayashi/hotzone/hotzone.js\ntype: application/javascript\nmodule-type: startup\n\n@preserve\n\n\\*/\n(function(){\"use strict\";exports.name=\"hotzone\";exports.platforms=[\"browser\"];exports.after=[\"story\"];exports.synchronous=true;exports.startup=function(){var t=require(\"$:/plugins/felixhayashi/hotzone/config.js\").config;var e=null;var i=false;var r=document.getElementsByClassName(t.classNames.storyRiver)[0];var s=$tw.wiki.getTiddlerData(t.references.userConfig,{});var a=isNaN(parseInt(s.focusOffset))?150:parseInt(s.focusOffset);var n=function(e,i,r){if(!(e instanceof Element))return;if(!$tw.utils.hasClass(e,t.classNames.tiddlerFrame))return;var s=e.getElementsByClassName(t.classNames.tiddlerTitle)[0];if(s){var a=s.innerText||s.textContent;return a.trim()}};var o=function(t){if(!i){i=true;window.setTimeout(f,t||0)}};var l=function(e,i){$tw.wiki.addTiddler(new $tw.Tiddler({title:t.references.focussedTiddlerStore,text:e},$tw.wiki.getModificationFields()));if(i){var r=document.getElementsByClassName(\"hzone-focus\")[0];if(r){$tw.utils.removeClass(r,\"hzone-focus\")}$tw.utils.addClass(i,\"hzone-focus\")}};var f=function(){i=false;var s=$tw.wiki.getTiddler(\"$:/StoryList\");if(s&&s.fields.list.length){var o=null;var f=Number.MAX_VALUE;var d=r.children;var u=t.classNames.tiddlerFrame;for(var c=d.length;c--;){if($tw.utils.hasClass(d[c],u)){var v=d[c].getBoundingClientRect();var w=Math.min(Math.abs(a-v.top),Math.abs(a-v.bottom));if(w<f){o=d[c];f=w}}}var m=n(o);if(m!==e&&$tw.wiki.getTiddler(m)){e=m;l(e,o);return}}else if(e){e=\"\";l(e)}};var d=function(t){if(t[\"$:/HistoryList\"]){if(!$tw.wiki.tiddlerExists(\"$:/HistoryList\"))return;var e=$tw.wiki.getTiddler(\"$:/HistoryList\").fields[\"current-tiddler\"];var i=$tw.wiki.getTiddlerList(\"$:/StoryList\");var r=i.indexOf(e)>=0;if(!r)return;o($tw.utils.getAnimationDuration()+100)}else if(t[\"$:/StoryList\"]){o($tw.utils.getAnimationDuration()+100)}};var u=function(t){o(250)};$tw.wiki.addEventListener(\"change\",d);window.addEventListener(\"scroll\",u,false);u()}})();",
"type": "application/javascript",
"module-type": "startup"
},
"$:/plugins/felixhayashi/hotzone/Configuration": {
"title": "$:/plugins/felixhayashi/hotzone/Configuration",
"text": "Please see the [[GitHub page|https://github.com/felixhayashi/TW5-HotZone]] for more information on the options.\n\nSave and reload the wiki to activate changes.\n\n<table>\n <tr>\n <th align=\"left\">Focus offset:</th>\n <td><$edit-text tiddler=\"$:/config/hotzone/focusOffset\" tag=\"input\" default=\"71px\" /></td>\n </tr>\n</table>"
},
"$:/temp/focussedTiddler": {
"title": "$:/temp/focussedTiddler"
},
"$:/plugins/felixhayashi/hotzone/License": {
"title": "$:/plugins/felixhayashi/hotzone/License",
"text": "This code is released under the BSD license. For the exact terms visit:\n\nhttps://github.com/felixhayashi/TW5-HotZone/blob/master/LICENSE"
},
"$:/plugins/felixhayashi/hotzone/Readme": {
"title": "$:/plugins/felixhayashi/hotzone/Readme",
"text": "Please visit the [[GitHub page|https://github.com/felixhayashi/TW5-HotZone]] for more information."
}
}
}
{
"tiddlers": {
"$:/plugins/felixhayashi/tiddlymap/layout": {
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline \n\nbody .tc-page-container-wrapper.tc-modal-displayed{-webkit-filter:inherit;-moz-filter:inherit;filter:inherit}body .tc-modal-wrapper{z-index:1010}body .tc-modal-wrapper .tc-modal-header svg{vertical-align:sub}body .tc-modal-wrapper .tc-modal-header h3{line-height:10px}body .tc-modal-wrapper .tc-modal-body{min-height:250px;max-height:70vh;padding-top:0px;padding-bottom:0px;overflow:auto}body .tc-modal-wrapper .tc-modal-footer{padding:8px}body .tc-modal-wrapper .tc-modal-footer .tmap-dialog-button{font-weight:bold}body .tc-modal-wrapper .tc-modal-footer .tmap-hidden-close-button{display:none}table.tmap-table tr:nth-child(odd),.tc-modal-body table.tmap-config-table tr:nth-child(odd){background-color:#F0F0F0}table.tmap-table tr:nth-child(even),.tc-modal-body table.tmap-config-table tr:nth-child(even){background-color:#FFFFFF}.tmap-save-canvas-preview{text-align:center}.tmap-save-canvas-preview img{background-color:white;border:1px solid lightgray;max-width:100%;max-height:100px}.tmap-list-separator{display:block;background-color:#efefef;margin:10px 0 5px 0;cursor:default;border-bottom:1px dotted gray;font-weight:bold;font-size:0.8em}.tmap-unicode-icon{width:1em;display:inline-block;text-align:center;color:black}html .tmap-link{color:#5778D8}html .tmap-link:hover{color:white;background:#5778D8}html .tmap-small-list,html .tmap-smaller-list,html .tmap-very-small-list{overflow:auto;min-height:2em;max-height:9em;display:block}html .tmap-smaller-list{max-height:7em}html .tmap-very-small-list{max-height:5empx}html .tc-tiddler-controls button.tmap-active-button svg{fill:#888888}html #tmap-node-filter-dialog #tmap-filter-tips{font-size:0.8em}html #tmap-node-filter-dialog textarea{height:100px;max-height:300px;overflow:auto;width:100%;font-size:11px;font-family:\"Courier New\", Courier, monospace}@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}){.tc-sidebar-scrollable .tmap-desktop-editor .tmap-widget:not(.tmap-fullscreen){display:none}}@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}){.tc-sidebar-scrollable .tmap-mobile-editor{display:none}.tc-modal-wrapper{z-index:1010}.tc-modal-wrapper .tc-modal{boder:1px solid #999999;left:calc(50% - 400px);width:802px}.tc-modal-wrapper .tc-modal-body{left:calc(50% - 400px);width:800px}}@-o-keyframes fadein-keyframes{0%{opacity:0}100%{opacity:1}}@-moz-keyframes fadein-keyframes{0%{opacity:0}100%{opacity:1}}@-webkit-keyframes fadein-keyframes{0%{opacity:0}100%{opacity:1}}@keyframes flash fadein-keyframes{0%{opacity:0}100%{opacity:1}}@-o-keyframes fadeout-keyframes{0%{opacity:1}100%{opacity:0}}@-moz-keyframes fadeout-keyframes{0%{opacity:1}100%{opacity:0}}@-webkit-keyframes fadeout-keyframes{0%{opacity:1}100%{opacity:0}}@keyframes flash fadeout-keyframes{0%{opacity:1}100%{opacity:0}}.tmap-config-widget{background:#F0F0F0;padding:5px;margin:5px 0;box-sizing:border-box;display:block}.tmap-config-widget .vis-network{display:none}.tmap-config-widget .vis-configuration-wrapper{width:100%}.tmap-config-widget .vis-configuration-wrapper .vis-config-rangeinput{height:inherit;margin-left:4px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item{width:100%;height:inherit;background:none;padding-left:0px;left:0}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item.tmap-vis-config-item-active .vis-config-label::after{content:\"(inherited)\";position:absolute;display:inline-block;margin-left:10px;-o-animation:fadein-keyframes 1s;-moz-animation:fadein-keyframes 1s;-webkit-animation:fadein-keyframes 1s;animation:fadein-keyframes 1s;content:\"✔\";color:green;font-weight:bold;font-size:15px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item button.tmap-config-item-reset{vertical-align:top;margin-left:5px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item .vis-config-range{width:150px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item .vis-config-range::-moz-range-track{width:150px !important}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item .vis-config-label{width:150px}.tmap-config-widget::after{clear:both;content:\"\";display:block}.tmap-flash-message{border:1px solid lightgray;padding:5px;margin:6px 0;display:block;color:#333333}.tmap-flash-message.tmap-info,.tmap-flash-message.tmap-plain,.tmap-flash-message.tmap-neutral{background:#F0F0F0}.tmap-flash-message.tmap-info::before,.tmap-flash-message.tmap-plain::before,.tmap-flash-message.tmap-neutral::before{content:\"i\";display:inline-block;border-radius:50%;width:0.8em;border:2px solid;font-family:serif;text-align:center;height:0.8em;font-weight:bold;line-height:0.8em;vertical-align:text-top;margin-right:2px}.tmap-flash-message.tmap-valid,.tmap-flash-message.tmap-success{background:#D1EED4}.tmap-flash-message.tmap-valid::before,.tmap-flash-message.tmap-success::before{content:\"i\";display:inline-block;border-radius:50%;width:0.8em;border:2px solid;font-family:serif;text-align:center;height:0.8em;font-weight:bold;line-height:0.8em;vertical-align:text-top;margin-right:2px}.tmap-flash-message.tmap-warning{background:#FFF6D1}.tmap-flash-message.tmap-warning::before{content:\"\";display:inline-block;background:url(<<tmap \"datauri\" \"$:/core/images/warning\" \"\">>);display:inline-block;width:1em;height:1em;background-size:100% 100%;vertical-align:text-top;margin-right:2px}.tmap-flash-message.tmap-malformed,.tmap-flash-message.tmap-invalid,.tmap-flash-message.tmap-danger{background:#EED5D1}.tmap-flash-message.tmap-malformed::before,.tmap-flash-message.tmap-invalid::before,.tmap-flash-message.tmap-danger::before{content:\"\";display:inline-block;background:url(<<tmap \"datauri\" \"$:/core/images/warning\" \"\">>);display:inline-block;width:1em;height:1em;background-size:100% 100%;vertical-align:text-top;margin-right:2px}.tmap-widget{background:#FFFFFF;width:auto;position:relative;border:1px dotted lightgray;padding:2px;color:#666;display:block}.tmap-widget.tmap-click-to-use:not(.tmap-fullscreen) .vis-network:not(.vis-active){cursor:pointer}.tmap-widget.tmap-click-to-use:not(.tmap-fullscreen) .vis-network:not(.vis-active) .vis-navigation{display:none}.tmap-widget.tmap-click-to-use:not(.tmap-fullscreen) .vis-network:not(.vis-active):hover:before{color:gray;background:white;content:\"Click to use\";font-size:14px;font-weight:bold;right:calc(50% - 65px - 5px);position:absolute;text-align:center;top:calc(50% - 14px - 5px);width:130px;z-index:2000;padding:5px;pointer-events:none;background-color:rgba(255,255,255,0.3)}.tmap-widget .tmap-loading-bar{display:none;position:absolute;text-align:center;font-size:2em;padding:10px;top:50%;background:rgba(245,245,245,0.5);z-index:1;width:250px;margin:auto;left:0px;right:0px}.tmap-widget .tmap-vis-graph{height:calc(100% - 35px)}.tmap-widget.tmap-no-buttons .vis-navigation{display:none}.tmap-widget.tmap-advanced-editor .tmap-topbar{background:#d6d9d8}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-active-button{color:#488DCD}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-active-button svg{fill:#488DCD}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-unicode-button{font-size:1.5em;vertical-align:bottom;height:28px;fill:#555555}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-unicode-button svg{vertical-align:baseline}.tmap-widget .tmap-menu-bar{width:100%}.tmap-widget .tmap-topbar{background:#F5F5F5;border-bottom:1px solid lightgray;padding:3px 5px;height:35px;position:relative}.tmap-widget .tmap-topbar .tmap-view-label{width:100%;text-align:center;font-weight:bold;padding-top:3px}.tmap-widget .tmap-topbar .tmap-focus-button{position:absolute;right:10px;top:6px}.tmap-widget .tmap-topbar .tmap-focus-button input{width:140px}.tmap-widget .tmap-topbar .tmap-search-dropdown{position:relative}.tmap-widget .tmap-topbar .tmap-search-dropdown .tc-drop-down{position:absolute;z-index:999;right:0px}.tmap-widget .tmap-topbar [hidden]{display:none}.tmap-widget .tmap-topbar select{width:30%;max-width:200px;word-wrap:initial;padding:0px;height:28px}.tmap-widget .tmap-topbar button{line-height:inherit;color:#666}.tmap-widget .tmap-topbar>*{display:inline-block}.tmap-widget .tmap-topbar .tmap-separator:after{color:#bdbdbd;margin:3px;content:\" | \"}.tmap-widget .tmap-topbar .tc-edit-add-tag .tc-add-tag-name input{width:70%}.tmap-widget .tmap-topbar .tc-sidebar-header{text-shadow:none}.tmap-widget .tmap-topbar .tc-edit-tags{border:none;padding:inherit;box-shadow:none}.tmap-widget.tmap-static-mode .tmap-topbar{height:initial}.tmap-widget.tmap-static-mode .tmap-vis-graph{text-align:center;cursor:not-allowed}.tmap-widget.tmap-static-mode .tmap-vis-graph:not(.tmap-graph-placeholder):hover::before{box-shadow:10px 10px 5px lightgray;color:gray;background:white;content:\"Static\";font-size:18px;font-weight:bold;left:50%;margin-left:-100px;position:absolute;text-align:center;top:50px;width:200px;z-index:2000;padding:5px;pointer-events:none}.tmap-widget.tmap-static-mode .tmap-vis-graph.tmap-graph-placeholder::before{content:\"No Preview\";display:block;text-align:center;padding:20px}.tmap-widget .tc-drop-down{min-width:170px;padding:5px;margin:5px 0}.tmap-widget .tc-drop-down button,.tmap-widget .tc-drop-down a{padding:0 2px;text-decoration:none}.tmap-widget .tc-drop-down button:hover,.tmap-widget .tc-drop-down a:hover{color:#ffffff}.tmap-widget .tc-drop-down button svg,.tmap-widget .tc-drop-down a svg{vertical-align:middle}.tmap-widget .tc-block-dropdown{width:370px;min-width:370px;padding:5px;margin:15px 0 0 -370px}.tmap-widget .tc-block-dropdown a{display:inline;padding:0px}.tmap-widget.tmap-plain-design{border:none;padding:0px}.tmap-widget.tmap-plain-design .tmap-topbar{display:none}.tc-sidebar-scrollable .tmap-widget{position:absolute;min-height:350px}.tmap-widget div.vis-network .vis-edit-mode{height:26px}.tmap-widget div.vis-network .vis-manipulation{height:34px;border-top:1px solid #d6d9d8;background:rgba(245,245,245,0.7)}.tmap-widget div.vis-network .vis-navigation .vis-button.tmap-button-enabled{right:15px}.tmap-widget div.vis-network .vis-navigation .vis-button.tmap-button-enabled.tmap-fullscreen-button{bottom:90px;background-image:url(<<tmap \"datauri\" \"$:/plugins/felixhayashi/tiddlymap/media/fullscreen.png\" \"\">>)}.tmap-widget div.vis-network .vis-navigation .vis-button.tmap-button-enabled.tmap-halfscreen-button{bottom:130px;background-image:url(<<tmap \"datauri\" \"$:/plugins/felixhayashi/tiddlymap/media/halfscreen.png\" \"\">>)}.tmap-widget div.vis-network .vis-navigation .vis-button:hover{box-shadow:0 0 3px 3px rgba(75,75,75,0.3)}.tmap-widget div.vis-network .vis-navigation .vis-button:hover:before{background:beige;display:block;color:black;padding:3px;position:relative;border:1px solid lightgray;width:80px;left:-100px;top:-50px;z-index:1000;text-align:center}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-up:before{left:30px;content:\"Scroll up\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-down:before{left:30px;content:\"Scroll down\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-right:before{left:30px;content:\"Scroll right\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-left:before{left:30px;content:\"Scroll left\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-zoomOut:before{content:\"Zoom out\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-zoomIn:before{content:\"Zoom in\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-zoomExtends:before{content:\"Fit whole graph\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.tmap-fullscreen-button:before{content:\"Toggle Fullscreen\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.tmap-halfscreen-button:before{content:\"Toggle Halfscreen\"}.tc-dropzone>.tc-story-river .tmap-widget .vis-navigation .tmap-halfscreen-button{display:none}.tc-dropzone>.tc-story-river .tmap-widget:not(.tmap-fullscreen) .vis-navigation .vis-button{display:none}.tc-dropzone>.tc-story-river .tmap-widget:hover .vis-navigation .vis-button.tmap-fullscreen-button{display:block}.tc-dropzone>.tc-story-river .tmap-widget:hover .vis-navigation .vis-button.vis-zoomExtends{display:block}body.tmap-has-fullscreen-widget{overflow:hidden}body.tmap-has-fullscreen-widget .tmap-widget.tmap-fullscreen{background:white !important;height:100% !important;width:100% !important;position:fixed !important;top:0 !important;right:0 !important;bottom:0 !important;left:0 !important;z-index:999 !important;border:none !important;margin:0 !important}body.tmap-has-fullscreen-widget .tc-dropzone>*.tmap-has-fullscreen-widget{background:white !important;height:100% !important;width:100% !important;position:fixed !important;top:0 !important;right:0 !important;bottom:0 !important;left:0 !important;z-index:999 !important;border:none !important;margin:0 !important}body.tmap-has-fullscreen-widget .tc-dropzone>*:not(.tmap-has-fullscreen-widget){display:none}body.tmap-has-halfscreen-widget .tmap-widget.tmap-halfscreen{background:white !important;height:100% !important;width:100% !important;position:fixed !important;top:0 !important;right:0 !important;bottom:0 !important;left:0 !important;z-index:999 !important;border:none !important;margin:0 !important;position:absolute !important;border-left:1px solid lightgray !important}.tc-modal-footer .tmap-hidden-close-button{display:none}.tmap-modal-content{position:relative;padding:1em 0;padding-top:0}.tmap-modal-content table tr td{vertical-align:top}.tmap-modal-content :not(pre)>code{padding:1px;font-size:0.9em;position:relative;top:-1px}.tmap-modal-content :not(pre)>code{color:#666}.tmap-modal-content .tc-tab-set .tc-tab-content{margin-top:0.5em}.tmap-modal-content .tc-image-button{font-size:14px}.tmap-modal-content fieldset{margin:0px}.tmap-modal-content fieldset legend{font-weight:bold}.tc-modal-body .tmap-modal-editor>p{margin:0px}.tc-modal-body .tmap-modal-editor .tmap-template-select select{width:50%}.tc-modal-body .tmap-modal-editor .tc-tiddler-frame{margin:auto;width:auto}.tc-modal-body .tmap-modal-editor .tc-tiddler-frame .tc-tiddler-controls{display:none}.tc-modal-body .tmap-modal-editor .tc-tiddler-frame .tc-tiddler-title{display:none}.tc-modal-body table{margin:6px 0;border:none;width:100%}.tc-modal-body table td,.tc-modal-body table th{border:1px solid lightgray}.tc-modal-body table.tmap-key-value-table th{width:30%;background-color:#F0F0F0}.tc-modal-body table.tmap-config-table.tmap-large-input tr td:last-child{width:20%}.tc-modal-body table.tmap-config-table.tmap-small-input tr td:last-child{width:60%}.tc-modal-body table.tmap-config-table tr td{border:none;vertical-align:top;padding:5px}.tc-modal-body table.tmap-config-table tr td:first-child{width:15%}.tc-modal-body table.tmap-config-table tr td:last-child{width:40%}.tc-modal-body table.tmap-config-table tr td input:not([type=radio]),.tc-modal-body table.tmap-config-table tr td textarea,.tc-modal-body table.tmap-config-table tr td select{width:100%;word-wrap:normal}.tc-modal-body table.tmap-config-table tr td textarea{height:100%}.tc-modal-body table.tmap-config-table tr td .tmap-no-stretch input,.tc-modal-body table.tmap-config-table tr td .tmap-no-stretch textarea,.tc-modal-body table.tmap-config-table tr td .tmap-no-stretch select{width:auto}.tc-modal-body table.tmap-config-table tr td div.tmap-button-wrapper{text-align:center}.tc-modal-body table.tmap-config-table tr td .tmap-note{margin-top:0.5em}.tc-modal-body table.tmap-config-table tr td .tmap-description{font-style:italic}#tmap-element-type-manager>div:first-child{height:50vh;float:left;width:21%;background:linear-gradient(90deg, #f5f5f5 0%, #fff 50%)}#tmap-element-type-manager>div:first-child .tmap-searchbar{padding:1em 0 0 0}#tmap-element-type-manager>div:first-child .tmap-searchbar input{width:calc(100% - 36px)}#tmap-element-type-manager>div:first-child .tmap-searchbar button{width:30px;float:right}#tmap-element-type-manager>div:first-child ul{height:calc(100% - 65px);overflow:auto;margin-top:1em;padding:0}#tmap-element-type-manager>div:first-child ul.no-bullets li{list-style:none}#tmap-element-type-manager>div:first-child ul li{white-space:nowrap}#tmap-element-type-manager>div:first-child ul li .tmap-ranking{width:30px;display:inline-block}#tmap-element-type-manager>div:last-child{height:100%;width:calc(79% - 15px);float:right}#tmap-element-type-manager>div:last-child .tc-tab-set .tc-tab-content{overflow:auto;height:50vh}.tmap-manage-node-types .tmap-edge-type-specific{display:none !important}.tmap-manage-edge-types .tmap-node-type-specific{display:none !important}.tmap-modal-fullscreen-editor .tc-tab-content p{margin:1em 0}.tmap-has-pending-template{background-color:#C1EDC4}#tmap-search-table td{border:none;padding-left:0px}#tmap-search-table td:first-child{width:30px}#tmap-search-table b{display:inline-block;width:40px;text-align:right}#tmap-search-table ul{padding-left:20px;margin:1em 0 0 0}#tmap-search-table ul li{list-style:inherit}#tmap-search-table ul button{text-align:left}button.tmap-go-back{margin-bottom:1em;font-weight:bold}.tmap-badges>span,.tmap-badge{background:gray;font-size:11px;color:white;padding:3px 4px;display:inline-block;font-weight:bold;border-radius:2px;line-height:1em;cursor:help}.tmap-badges>span.tmap-red-flag,.tmap-badge.tmap-red-flag{background:red}.tmap-popup{display:none;position:absolute;opacity:0;transition:opacity 0.3s ease}.tmap-popup.tmap-popup-active{opacity:1}.tmap-tooltip{box-shadow:3px 3px 10px rgba(0,0,0,0.2);min-width:100px;min-height:50px;max-width:<<tmap option config.sys.popups.width>>;max-height:<<tmap option config.sys.popups.height>>;padding:5px;resize:both;overflow:auto;cursor:auto;font-family:verdana;font-size:14px;background-color:#f5f4ed;border:1px solid #808074;-moz-border-radius:3px;-webkit-border-radius:3px;border-radius:3px}.tmap-tooltip[style*=\"height\"]{max-height:none !important}.tmap-tooltip[style*=\"width\"]{max-width:none !important}.tmap-quick-connect{font-size:0.7em}.tmap-quick-connect p{padding-left:0;padding-right:0}.tmap-quick-connect .tc-drop-down{padding:5px;width:250px;white-space:normal;line-height:1em;position:absolute;z-index:1000;right:50px;background:linear-gradient(45deg, #f5f5f5 0%, #fff 50%, #f5f5f5 100%)}.tmap-quick-connect .tc-drop-down:first-child{padding-top:0;margin-top:0}.tmap-quick-connect .tc-drop-down .title{margin:1.5em 0 0.5em 0;font-weight:bold;color:gray}.tmap-quick-connect .tc-drop-down select{width:80px;word-wrap:initial}.tmap-quick-connect .tc-drop-down table{width:100%;border:none;margin:0.5em 0}.tmap-quick-connect .tc-drop-down table td,.tmap-quick-connect .tc-drop-down table th{padding:3px 3px 3px 0;vertical-align:middle;font-weight:normal;border:none}.tmap-quick-connect .tc-drop-down table td table,.tmap-quick-connect .tc-drop-down table th table{margin:0}.tmap-quick-connect .tc-drop-down .tmap-quick-connect-search-bar,.tmap-quick-connect .tc-drop-down 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a:hover{background:transparent;color:#5778d8;text-decoration:underline}.tmap-quick-connect .tc-drop-down button{display:inline-block;padding:0px 3px;text-align:center;color:#333333;line-height:1.0}.tmap-quick-connect .tc-drop-down button:hover{color:#ffffff}.tmap-quick-connect .tc-drop-down button svg{fill:inherit}.tmap-quick-connect .tc-drop-down button svg:hover{fill:#ffffff}\n",
"title": "$:/plugins/felixhayashi/tiddlymap/layout",
"type": "text/vnd.tiddlywiki",
"tags": [
"$:/tags/Stylesheet"
]
},
"$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var i=r[t];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(r,t,i){if(t)e(r.prototype,t);if(i)e(r,i);return r}}();/* @preserve TW-Guard */ /* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */\n/* @preserve TW-Guard */var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}var AbstractEdgeTypeSubscriber=function(){function e(r){var t=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{},i=t.priority,n=i===undefined?0:i,a=t.skipOthers,s=a===undefined?true:a,u=t.ignore,l=u===undefined?false:u;_classCallCheck(this,e);this.allEdgeTypes=r;this.priority=n;this.skipOthers=s;this.ignore=l}_createClass(e,[{key:\"setTracker\",value:function e(r){this.tracker=r}},{key:\"loadEdges\",value:function e(r,t,i){throw new _exception.MissingOverrideError(this,\"loadEdges\")}},{key:\"canHandle\",value:function e(r){throw new _exception.MissingOverrideError(this,\"canHandle\")}},{key:\"insertEdge\",value:function e(r,t,i){}},{key:\"deleteEdge\",value:function e(r,t,i){}}]);return e}();exports.default=AbstractEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/AbstractEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var i=r[t];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(r,t,i){if(t)e(r.prototype,t);if(i)e(r,i);return r}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _AbstractRefEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\");var _AbstractRefEdgeTypeSubscriber2=_interopRequireDefault(_AbstractRefEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,r){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return r&&(typeof r===\"object\"||typeof r===\"function\")?r:e}function _inherits(e,r){if(typeof r!==\"function\"&&r!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof r)}e.prototype=Object.create(r&&r.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(r)Object.setPrototypeOf?Object.setPrototypeOf(e,r):e.__proto__=r}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var AbstractMagicEdgeTypeSubscriber=function(e){_inherits(r,e);function r(e,t){_classCallCheck(this,r);var i=_possibleConstructorReturn(this,(r.__proto__||Object.getPrototypeOf(r)).call(this,e,t));i.edgeTypesByFieldName=_utils2.default.makeHashMap();for(var a in e){var n=e[a];if(i.canHandle(n)){i.edgeTypesByFieldName[n.name]=n}}return i}_createClass(r,[{key:\"getReferencesFromField\",value:function e(r,t,i){throw new _exception.MissingOverrideError(this,\"getReferencesFromField\")}},{key:\"getReferences\",value:function e(r,t,i){var a=_utils2.default.makeHashMap();var n=r.fields;for(var s in n){var u=this.edgeTypesByFieldName[s];if(!u||i&&!i[u.id])continue;var o=this.getReferencesFromField(r,s,t);if(o&&o.length){a[u.id]=o}}return a}}]);return r}(_AbstractRefEdgeTypeSubscriber2.default);exports.default=AbstractMagicEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/AbstractMagicEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _AbstractEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber\");var _AbstractEdgeTypeSubscriber2=_interopRequireDefault(_AbstractEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var AbstractRefEdgeTypeSubscriber=function(e){_inherits(t,e);function t(){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).apply(this,arguments))}_createClass(t,[{key:\"loadEdges\",value:function e(t,r,i){var a=this.getReferences(t,r,i);if(!a||!_utils2.default.hasElements(a))return;var s=t.fields[\"tmap.id\"];var n=$tm.tracker.getIdsByTiddlers();var u=this.allEdgeTypes;var l=_utils2.default.getTiddlerRef(t);var o=_utils2.default.makeHashMap();for(var f in a){var c=a[f];if(!c){continue}var p=u[f];for(var d=c.length;d--;){var _=c[d];if(!_||!$tw.wiki.tiddlerExists(_)||_utils2.default.isSystemOrDraft(_)||r&&!r[_]){continue}var b=p.id+$tw.utils.hashString(l+_);o[b]=new _Edge2.default(s,n[_],p.id,b)}}return o}},{key:\"getReferences\",value:function e(t,r,i){throw new _exception.MissingOverrideError(this,\"getReferences\")}}]);return t}(_AbstractEdgeTypeSubscriber2.default);exports.default=AbstractRefEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/AbstractRefEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var s=r[t];s.enumerable=s.enumerable||false;s.configurable=true;if(\"value\"in s)s.writable=true;Object.defineProperty(e,s.key,s)}}return function(r,t,s){if(t)e(r.prototype,t);if(s)e(r,s);return r}}();function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeTypeSubscriberRegistry=function(){function e(r,t,s){_classCallCheck(this,e);this.subscriberClasses=r;this.tracker=s;this.updateIndex(t)}_createClass(e,[{key:\"getAllForType\",value:function e(r){var t=this.allSubscribers;var s=[];for(var i=0,a=t.length;i<a;i++){if(t[i].canHandle(r)){s.push(t[i]);if(t[i].skipOthers){break}}}return s}},{key:\"getAll\",value:function e(){return this.allSubscribers}},{key:\"updateIndex\",value:function e(r){var t=[];var s=this.subscriberClasses;for(var i in s){var a=new s[i](r);a.setTracker(this.tracker);if(a.ignore===true){continue}t.push(a)}t.sort(function(e,r){return r.priority-e.priority});this.allSubscribers=t}}]);return e}();exports.default=EdgeTypeSubscriberRegistry;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/EdgeTypeSubscriberRegistry.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/tmap": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/tmap",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.TmapEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _AbstractEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber\");var _AbstractEdgeTypeSubscriber2=_interopRequireDefault(_AbstractEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/tmap\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var TmapEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:0},r)))}_createClass(t,[{key:\"loadEdges\",value:function e(t,r,i){var a=_utils2.default.parseFieldData(t,\"tmap.edges\");if(!a){return}var n=this.tracker.getTiddlersByIds();var u=t.fields[\"tmap.id\"];var s=_utils2.default.makeHashMap();for(var l in a){var o=a[l];var d=n[o.to];if(d&&(!r||r[d])&&(!i||i[o.type])){s[l]=new _Edge2.default(u,o.to,o.type,l)}}return s}},{key:\"insertEdge\",value:function e(t,r,i){var a=_utils2.default.parseFieldData(t,\"tmap.edges\",{});r.id=r.id||_utils2.default.genUUID();a[r.id]={to:r.to,type:i.id};_utils2.default.writeFieldData(t,\"tmap.edges\",a,$tm.config.sys.jsonIndentation);return r}},{key:\"deleteEdge\",value:function e(t,r,i){if(!r.id)return;var a=_utils2.default.parseFieldData(t,\"tmap.edges\",{});delete a[r.id];_utils2.default.writeFieldData(t,\"tmap.edges\",a,$tm.config.sys.jsonIndentation);return r}},{key:\"canHandle\",value:function e(t){return true}}]);return t}(_AbstractEdgeTypeSubscriber2.default);exports.TmapEdgeTypeSubscriber=TmapEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/TmapEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "tmap.edgetypehandler"
},
"$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/field": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/field",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.FieldEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _AbstractMagicEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\");var _AbstractMagicEdgeTypeSubscriber2=_interopRequireDefault(_AbstractMagicEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/field\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var FieldEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:10},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.namespace===\"tw-field\"}},{key:\"getReferencesFromField\",value:function e(t,r,i){return[t.fields[r]]}},{key:\"insertEdge\",value:function e(t,r,i){var n=this.tracker.getTiddlerById(r.to);if(n==null){return}_utils2.default.setField(t,i.name,n);return r}},{key:\"deleteEdge\",value:function e(t,r,i){var n=this.tracker.getTiddlerById(r.to);if(n==null){return}_utils2.default.setField(t,i.name,undefined);return r}}]);return t}(_AbstractMagicEdgeTypeSubscriber2.default);exports.FieldEdgeTypeSubscriber=FieldEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/magicEdgeTypeSubscriber/FieldEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "tmap.edgetypehandler"
},
"$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/filter": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/filter",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.FilterEdgeTypeSubstriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _AbstractMagicEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\");var _AbstractMagicEdgeTypeSubscriber2=_interopRequireDefault(_AbstractMagicEdgeTypeSubscriber);var _widget=require(\"$:/core/modules/widgets/widget.js\");var _widget2=_interopRequireDefault(_widget);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/filter\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var FilterEdgeTypeSubstriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:10},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.namespace===\"tw-filter\"}},{key:\"getReferencesFromField\",value:function e(t,r,i){var n=t.fields[r];var a=new _widget2.default.widget({});a.setVariable(\"currentTiddler\",t.fields.title);var u=new _widget2.default.widget({},{parentWidget:a});var s=_utils2.default.getMatches(n,i,u);return s}},{key:\"insertEdge\",value:function e(t,r,i){if(!r.to){return}var n=i.name;var a=t.fields[n]||\"\";var u=this.tracker.getTiddlerById(r.to);var s=$tw.utils.stringifyList([u]);if(a.length>0){s=\" \"+s}_utils2.default.setField(t,n,a+s);return r}}]);return t}(_AbstractMagicEdgeTypeSubscriber2.default);exports.FilterEdgeTypeSubstriber=FilterEdgeTypeSubstriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/magicEdgeTypeSubscriber/FilterEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "tmap.edgetypehandler"
},
"$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/list": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/list",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.ListEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _AbstractMagicEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\");var _AbstractMagicEdgeTypeSubscriber2=_interopRequireDefault(_AbstractMagicEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/list\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var ListEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:10},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.namespace===\"tw-list\"}},{key:\"getReferencesFromField\",value:function e(t,r,i){return $tw.utils.parseStringArray(t.fields[r])}},{key:\"insertEdge\",value:function e(t,r,i){if(!r.to){return}var n=i.name;var s=$tw.utils.parseStringArray(t.fields[n]);s=(s||[]).slice();var a=this.tracker.getTiddlerById(r.to);s.push(a);_utils2.default.setField(t,n,$tw.utils.stringifyList(s));return r}},{key:\"deleteEdge\",value:function e(t,r,i){var n=$tw.utils.parseStringArray(t.fields[i.name]);n=(n||[]).slice();var s=this.tracker.getTiddlerById(r.to);var a=n.indexOf(s);if(a>-1){n.splice(a,1)}var u=void 0;if(n.length>0){u=$tw.utils.stringifyList(n)}_utils2.default.setField(t,i.name,u);return r}}]);return t}(_AbstractMagicEdgeTypeSubscriber2.default);exports.ListEdgeTypeSubscriber=ListEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/magicEdgeTypeSubscriber/ListEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "tmap.edgetypehandler"
},
"$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/link": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/link",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.LinkEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var n in r){if(Object.prototype.hasOwnProperty.call(r,n)){e[n]=r[n]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var n=t[r];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(t,r,n){if(r)e(t.prototype,r);if(n)e(t,n);return t}}();var _AbstractRefEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\");var _AbstractRefEdgeTypeSubscriber2=_interopRequireDefault(_AbstractRefEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/link\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var LinkEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:20},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.id===\"tw-body:link\"}},{key:\"getReferences\",value:function e(t,r,n){if(n&&!n[\"tw-body:link\"]){return}var i=$tw.wiki.getTiddlerLinks(t.fields.title);if(!i||!i.length){return}return{\"tw-body:link\":i}}}]);return t}(_AbstractRefEdgeTypeSubscriber2.default);exports.LinkEdgeTypeSubscriber=LinkEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/refEdgeTypeSubscriber/LinkEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "tmap.edgetypehandler"
},
"$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/transclude": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/transclude",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.TranscludeEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var r=1;r<arguments.length;r++){var t=arguments[r];for(var n in t){if(Object.prototype.hasOwnProperty.call(t,n)){e[n]=t[n]}}}return e};var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var n=r[t];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(r,t,n){if(t)e(r.prototype,t);if(n)e(r,n);return r}}();var _AbstractRefEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\");var _AbstractRefEdgeTypeSubscriber2=_interopRequireDefault(_AbstractRefEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,r){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return r&&(typeof r===\"object\"||typeof r===\"function\")?r:e}function _inherits(e,r){if(typeof r!==\"function\"&&r!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof r)}e.prototype=Object.create(r&&r.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(r)Object.setPrototypeOf?Object.setPrototypeOf(e,r):e.__proto__=r}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/transclude\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var TranscludeEdgeTypeSubscriber=function(e){_inherits(r,e);function r(e){var t=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,r);return _possibleConstructorReturn(this,(r.__proto__||Object.getPrototypeOf(r)).call(this,e,_extends({priority:20,ignore:typeof $tw.wiki.getTiddlerTranscludes!==\"function\"},t)))}_createClass(r,[{key:\"canHandle\",value:function e(r){return r.id===\"tw-body:transclude\"}},{key:\"getReferences\",value:function e(r,t,n){if(n&&!n[\"tw-body:transclude\"]){return}var i=$tw.wiki.getTiddlerTranscludes(r.fields.title);if(!i||!i.length){return}return{\"tw-body:transclude\":i}}}]);return r}(_AbstractRefEdgeTypeSubscriber2.default);exports.TranscludeEdgeTypeSubscriber=TranscludeEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/refEdgeTypeSubscriber/TranscludeEdgeTypeSubscriber.js.map\n",
"type": "application/javascript",
"module-type": "tmap.edgetypehandler"
},
"$:/plugins/felixhayashi/tiddlymap/js/Edge": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/Edge",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Edge\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var Edge=function e(t,i,s,l){_classCallCheck(this,e);this.from=t;this.to=i;this.type=s;this.id=l||_utils2.default.genUUID()};exports.default=Edge;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/Edge.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/EdgeType": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/EdgeType",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var n in r){if(Object.prototype.hasOwnProperty.call(r,n)){e[n]=r[n]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var n=t[r];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(t,r,n){if(r)e(t.prototype,r);if(n)e(t,n);return t}}();var _MapElementType2=require(\"$:/plugins/felixhayashi/tiddlymap/js/MapElementType\");var _MapElementType3=_interopRequireDefault(_MapElementType2);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/EdgeType\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeType=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);var n=t.getIdParts(e),o=n.marker,a=n.namespace,i=n.name;e=t.getId(o,a,i);var l=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,env.path.edgeTypes,t.fieldMeta,r));l.id=e;l.marker=o;l.name=i;l.namespace=a;var u=(l.style||{}).arrows;if(u){l.invertedArrow=isArrowEnabled(u,\"from\");l.toArrow=isArrowEnabled(u,\"to\")||isArrowEnabled(u,\"middle\");l.biArrow=l.invertedArrow===l.toArrow;if(l.biArrow){l.toArrow=true;l.invertedArrow=true}}else{l.toArrow=true}Object.freeze(l);return l}_createClass(t,[{key:\"getLabel\",value:function e(){return this.label||this.name}}],[{key:\"getIdParts\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:\"\";t=_utils2.default.getWithoutPrefix(t,env.path.edgeTypes+\"/\");var r=t.match(edgeTypeRegex)||[];return{marker:r[1]||\"\",namespace:r[3]&&r[2]||\"\",name:r[3]||r[2]||\"\"}}},{key:\"getId\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:\"\";var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"\";var n=arguments[2];return n?t+(r&&r+\":\")+n:\"tmap:unknown\"}}]);return t}(_MapElementType3.default);EdgeType.getInstance=function(e){return e instanceof EdgeType?e:new EdgeType(e)};EdgeType.fieldMeta=_extends({},_MapElementType3.default.fieldMeta,{label:{},\"show-label\":{}});var isArrowEnabled=function e(t,r){var n=t[r];if(n==null&&r===\"to\"){return true}return(typeof n===\"undefined\"?\"undefined\":_typeof(n))===\"object\"?n.enabled!==false:n===true};var edgeTypeRegex=new RegExp(\"^(_?)([^:_][^:]*):?([^:]*)\");exports.default=EdgeType;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/EdgeType.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/MapElementType": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/MapElementType",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(t){return typeof t}:function(t){return t&&typeof Symbol===\"function\"&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t};var _createClass=function(){function t(t,e){for(var i=0;i<e.length;i++){var l=e[i];l.enumerable=l.enumerable||false;l.configurable=true;if(\"value\"in l)l.writable=true;Object.defineProperty(t,l.key,l)}}return function(e,i,l){if(i)t(e.prototype,i);if(l)t(e,l);return e}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/MapElementType\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(t){return t&&t.__esModule?t:{default:t}}function _classCallCheck(t,e){if(!(t instanceof e)){throw new TypeError(\"Cannot call a class as a function\")}}var MapElementType=function(){function t(e,i,l,s){_classCallCheck(this,t);this.id=e;this.root=i;this._fieldMeta=l;this.fullPath=this.root+\"/\"+this.id;this.isShipped=$tw.wiki.getSubTiddler($tm.path.pluginRoot,this.fullPath);this._load(s||this.fullPath)}_createClass(t,[{key:\"_load\",value:function t(e){if(!e){return}if(typeof e===\"string\"){var i=_utils2.default.startsWith(e,this.root);var l=i?e:this.root+\"/\"+e;this._loadFromTiddler(l)}else if(e instanceof $tw.Tiddler){this._loadFromTiddler(e)}else if((typeof e===\"undefined\"?\"undefined\":_typeof(e))===\"object\"){for(var s in this._fieldMeta){this[s]=e[s]}}}},{key:\"_loadFromTiddler\",value:function t(e){var i=_utils2.default.getTiddler(e);if(!i){return}var l=$tw.wiki.getSubTiddler($tm.path.pluginRoot,this.fullPath)||{};var s=$tw.utils.extend({},l.fields,i.fields);for(var r in this._fieldMeta){var a=this._fieldMeta[r].parse;var f=s[r];this[r]=a?a.call(this,f):f}}},{key:\"exists\",value:function t(){return _utils2.default.tiddlerExists(this.fullPath)}},{key:\"setStyle\",value:function t(e,i){if(typeof e===\"string\"){e=_utils2.default.parseJSON(e)}if((typeof e===\"undefined\"?\"undefined\":_typeof(e))===\"object\"){if(i){_utils2.default.merge(this.style,e)}else{this.style=e}}}},{key:\"save\",value:function t(e,i){if(!e){e=this.fullPath}else if(typeof e!==\"string\"){return}var l={title:e,text:\"\"};if(!_utils2.default.startsWith(e,this.root)){l.id=this.id}for(var s in this._fieldMeta){var r=this._fieldMeta[s].stringify;l[s]=r?r.call(this,this[s]):this[s]}if(!this.exists()){Object.assign(l,$tw.wiki.getCreationFields())}if(i!==true){Object.assign(l,$tw.wiki.getModificationFields())}$tw.wiki.addTiddler(new $tw.Tiddler(l))}}]);return t}();MapElementType.fieldMeta={description:{},style:{parse:_utils2.default.parseJSON,stringify:JSON.stringify},modified:{},created:{}};exports.default=MapElementType;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/MapElementType.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/NodeType": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/NodeType",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var n in r){if(Object.prototype.hasOwnProperty.call(r,n)){e[n]=r[n]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var n=t[r];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(t,r,n){if(r)e(t.prototype,r);if(n)e(t,n);return t}}();var _MapElementType2=require(\"$:/plugins/felixhayashi/tiddlymap/js/MapElementType\");var _MapElementType3=_interopRequireDefault(_MapElementType2);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/NodeType\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var NodeType=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);e=typeof e===\"string\"?_utils2.default.getWithoutPrefix(e,$tm.path.nodeTypes+\"/\"):\"tmap:unknown\";var n=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,$tm.path.nodeTypes,t.fieldMeta,r));Object.freeze(n);return n}_createClass(t,[{key:\"getInheritors\",value:function e(t){return this.scope?_utils2.default.getMatches(this.scope,t||$tw.wiki.allTitles()):[]}}]);return t}(_MapElementType3.default);NodeType.getInstance=function(e){return e instanceof NodeType?e:new NodeType(e)};NodeType.fieldMeta=_extends({},_MapElementType3.default.fieldMeta,{view:{},priority:{parse:function e(t){return isNaN(t)?1:parseInt(t)},stringify:function e(t){return _utils2.default.isInteger(t)?t.toString():\"1\"}},scope:{stringify:_utils2.default.getWithoutNewLines},\"fa-icon\":{},\"tw-icon\":{}});exports.default=NodeType;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/NodeType.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var i=arguments[t];for(var r in i){if(Object.prototype.hasOwnProperty.call(i,r)){e[r]=i[r]}}}return e};var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var ViewAbstraction=function(){function e(t){var i=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,e);if(t instanceof e){return t}this._registerPaths(t);if(i.isCreate){if(!this.configTRef){var r=_utils2.default.getRandomLabel({plural:true});this.configTRef=$tw.wiki.generateNewTitle($tm.path.views+\"/\"+r)}this._createView(i)}else if(!e.exists(this.getRoot())){throw new ResourceNotFoundException(\"ViewAbstraction\",t)}}_createClass(e,[{key:\"isLocked\",value:function e(){return $tw.wiki.isShadowTiddler(this.configTRef)}},{key:\"update\",value:function e(t){var i=t.changedTiddlers;if(t[env.path.edgeTypes]||_utils2.default.hasKeyWithPrefix(i,this.getRoot())){this._clearCaches();return true}return false}},{key:\"addPlaceholder\",value:function e(t){_utils2.default.cp(_utils2.default.getTiddlerRef(t),this.snapshotTRef,true)}},{key:\"exists\",value:function t(){return e.exists(this)}},{key:\"getRoot\",value:function e(){return this.configTRef}},{key:\"getCreationDate\",value:function e(t){var i=$tw.wiki.getTiddler(this.configTRef).fields[\"created\"];if(t){return i instanceof Date?$tw.utils.formatDateString(i,\"DDth MMM YYYY\"):\"\"}return i}},{key:\"getLabel\",value:function e(){return _utils2.default.getBasename(this.configTRef)}},{key:\"destroy\",value:function e(){_utils2.default.deleteTiddlers(_utils2.default.getMatches(\"[prefix[\"+this.configTRef+\"]]\"))}},{key:\"getOccurrences\",value:function e(){var t=\"[regexp:text[<\\\\$(tiddlymap|tmap).*?view=.\"+this.getLabel()+\"..*?>]]\";return _utils2.default.getMatches(t)}},{key:\"rename\",value:function t(i){if(typeof i!==\"string\"){return false}if(_utils2.default.inArray(\"/\",i)){$tm.notify('A view name must not contain any \"/\"');return false}var r=this.getLabel();var a=env.path.views+\"/\"+i;var n=this.getRoot();_utils2.default.mv(n,a,true);if($tm.config.sys.defaultView===r){_utils2.default.setEntry($tm.ref.sysUserConf,\"defaultView\",i)}if($tm.config.sys.liveTab.fallbackView===r){_utils2.default.setEntry($tm.ref.sysUserConf,\"liveTab.fallbackView\",i)}$tw.wiki.each(function(t,a){if(t.fields[\"tmap.open-view\"]===r){_utils2.default.setField(a,\"tmap.open-view\",i);return}if(e.exists(a)){var n=new e(a);var l=n.getNodeData();for(var s in l){if(l[s][\"open-view\"]===r){l[s][\"open-view\"]=i}}n.saveNodeData(l)}});this._clearCaches();this._registerPaths(i)}},{key:\"isEnabled\",value:function e(t){return _utils2.default.isTrue(this.getConfig(t),false)}},{key:\"getConfig\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.configTRef,\"tmap-config\",function(){var e=_utils2.default.getTiddler(i.configTRef).fields;return _utils2.default.getPropertiesByPrefix(e,\"config.\")});var a=t&&_utils2.default.startsWith(t,\"config.\")?t:\"config.\"+t;return t?r[a]:r}},{key:\"setConfig\",value:function e(){for(var t=arguments.length,i=Array(t),r=0;r<t;r++){i[r]=arguments[r]}if(i[0]==null){return}if(i.length===1&&_typeof(i[0])===\"object\"){for(var a in i[0]){this.setConfig(a,i[0][a])}}else if(i.length===2&&typeof i[0]===\"string\"){var n=_utils2.default.getWithoutPrefix(i[0],\"config.\");var l=i[1];if(l===undefined){return}var s=this.getConfig();if(l===null){$tm.logger(\"debug\",\"Removing config\",n);delete s[\"config.\"+n]}else{if(n===\"edge_type_namespace\"){var o=l.match(/[^:]+/);l=o?o[0]:\"\"}}$tm.logger(\"log\",\"Setting config\",n,l);s[\"config.\"+n]=l;$tw.wiki.addTiddler(new $tw.Tiddler(_utils2.default.getTiddler(this.configTRef),s))}else{throw new(Function.prototype.bind.apply(_exception.InvalidArgumentException,[null].concat(i)))}}},{key:\"isLiveView\",value:function e(){return this.getLabel()===$tm.misc.liveViewLabel}},{key:\"isNodeIncludedById\",value:function t(i){var r=$tw.utils.escapeRegExp(e._getNodeIdFilterPart(i));return this.getNodeFilter(\"raw\").match(r)}},{key:\"setNodeFilter\",value:function e(t,i){t=t.replace(/[\\n\\r]/g,\" \");if(this.getNodeFilter(\"raw\")===t){return}_utils2.default.setField(this.nodeFilterTRef,\"filter\",t);$tm.logger(\"debug\",\"Node filter set to\",t)}},{key:\"setEdgeTypeFilter\",value:function e(t){t=t.replace(/[\\n\\r]/g,\" \");if(this.getEdgeTypeFilter(\"raw\")===t){return}_utils2.default.setField(this.edgeTypeFilterTRef,\"filter\",t);$tm.logger(\"debug\",\"Edge filter set to\",t)}},{key:\"addNode\",value:function t(i){if(!this.isNodeIncludedById(i)){if(_utils2.default.isTrue($tm.config.sys.alwaysAddNodeIdToViewFilter)||!_utils2.default.isMatch(i.tRef,this.getNodeFilter(\"compiled\"))){var r=e._getNodeIdFilterPart(i);var a=\" \";this.setNodeFilter(this.getNodeFilter(\"raw\")+a+r)}this.saveNodePosition(i)}}},{key:\"removeNode\",value:function t(i){if(!this.isNodeIncludedById(i)){return false}var r=e._getNodeIdFilterPart(i);var a=this.getNodeFilter(\"raw\").replace(r,\"\");this.setNodeFilter(a);return true}},{key:\"getEdgeTypeFilter\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.edgeTypeFilterTRef,\"tmap-edgeTypeFilter\",function(){var e=$tm.indeces.allETy;var t=Object.keys(e);var r=$tw.wiki.getTiddler(i.edgeTypeFilterTRef);var a={};a.raw=r&&r.fields.filter||\"\";a.pretty=_utils2.default.getPrettyFilter(a.raw);a.matches=_utils2.default.getEdgeTypeMatches(a.raw,e);a.whitelist=_utils2.default.getLookupTable(a.matches);return a});return t?r[t]:r}},{key:\"isEdgeTypeVisible\",value:function e(t){return _utils2.default.isEdgeTypeMatch(_EdgeType2.default.getInstance(t).id,this.getEdgeTypeFilter(\"raw\"))}},{key:\"getNodeFilter\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.nodeFilterTRef,\"tmap-nodeFilter\",function(){var e=_utils2.default.makeHashMap();var t=$tw.wiki.getTiddler(i.nodeFilterTRef);e.raw=t&&t.fields.filter||\"\";e.pretty=_utils2.default.getPrettyFilter(e.raw);e.compiled=$tw.wiki.compileFilter(e.raw);return e});return t?r[t]:r}},{key:\"getNodeData\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.mapTRef,\"tmap-map\",function(){return _utils2.default.parseFieldData(i.mapTRef,\"text\",{})});return t?r[t]:r}},{key:\"equals\",value:function t(i){return i===this||e.exists(i)&&new e(i).getRoot()===this.getRoot()}},{key:\"saveNodeData\",value:function e(){var t=this.getNodeData();for(var i=arguments.length,r=Array(i),a=0;a<i;a++){r[a]=arguments[a]}if(r.length===2){if(_typeof(r[1])===\"object\"){if(r[1]===null){delete t[r[0]]}else{t[r[0]]=Object.assign(t[r[0]]||{},r[1])}}}else if(r.length===1&&_typeof(r[0])===\"object\"){$tm.logger(\"log\",\"Storing data in\",this.mapTRef);Object.assign(t,r[0])}else{throw new(Function.prototype.bind.apply(_exception.InvalidArgumentException,[null].concat(r)))}_utils2.default.writeFieldData(this.mapTRef,\"text\",t,$tm.config.sys.jsonIndentation)}},{key:\"saveNodePosition\",value:function e(t){if(t.id&&t.x!=null&&t.y!=null){this.saveNodeData(t.id,{x:t.x,y:t.y})}}},{key:\"saveNodePositions\",value:function e(t){var i=this.getNodeData();for(var r in t){i[r]=i[r]||{};i[r].x=t[r].x;i[r].y=t[r].y}this.saveNodeData(i)}},{key:\"setCentralTopic\",value:function e(t){this.setConfig(\"central-topic\",t)}},{key:\"saveNodeStyle\",value:function e(t,i){var r=this.getNodeData(t)||{};var a={x:r.x,y:r.y};for(var n in r){delete r[n]}this.saveNodeData(t,_extends({},i,a))}},{key:\"_registerPaths\",value:function t(i,r){this.configTRef=e._getRootPath(i);this.mapTRef=this.configTRef+\"/map\";this.nodeFilterTRef=this.configTRef+\"/filter/nodes\";this.edgeTypeFilterTRef=this.configTRef+\"/filter/edges\";this.snapshotTRef=this.getRoot()+\"/snapshot\"}},{key:\"_clearCaches\",value:function e(){_utils2.default.getMatches(\"[prefix[\"+this.getRoot()+\"]]\").forEach(function(e){$tw.wiki.clearCache(e)})}},{key:\"_createView\",value:function t(){var i=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{},r=i.isForce,a=i.protoView,n=i.isHidden;if(e.exists(this)){if(!r){return}this.destroy()}if(e.exists(a)){_utils2.default.cp(new e(a).getRoot(),this.configTRef,true)}var l={title:this.configTRef,id:_utils2.default.genUUID()};if(!n){l[$tm.field.viewMarker]=true}$tw.wiki.addTiddler(new $tw.Tiddler(_utils2.default.getTiddler(this.configTRef),l));this.setEdgeTypeFilter(env.filter.defaultEdgeTypeFilter)}}],[{key:\"_getNodeIdFilterPart\",value:function e(t){var i=(typeof t===\"undefined\"?\"undefined\":_typeof(t))===\"object\"?t.id:t;return\"[field:tmap.id[\"+i+\"]]\"}},{key:\"_getRootPath\",value:function t(i){if(i instanceof e){return i.configTRef}if(i instanceof $tw.Tiddler){i=i.fields.title}if(typeof i===\"string\"){var r=_utils2.default.getWithoutPrefix(i,$tm.path.views+\"/\");if(r&&!_utils2.default.hasSubString(r,\"/\")){return $tm.path.views+\"/\"+r}}}},{key:\"exists\",value:function t(i){if(!i){return false}if(i instanceof e){i=i.configTRef}else{i=e._getRootPath(i)}return _utils2.default.tiddlerExists(i)}}]);return e}();exports.default=ViewAbstraction;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/ViewAbstraction.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/Popup": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/Popup",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function Popup(e,t){t=t||{};this._parentDomNode=e;this._domNode=document.createElement(\"div\");this._domNode.style.display=\"none\";this._domNode.className=\"tmap-popup\";this._parentDomNode.appendChild(this._domNode);$tw.utils.addClass(this._domNode,t.className);this._isEnabled=true;this._isPreventShowOrHide=false;this._isHideOnClick=!!t.hideOnClick;this._timeoutShow=null;this._timeoutHide=null;this._isDisplayNoneAfterAnimation=true;var i=parseInt(t.leavingDelay);this._hideDelayLeavingPopup=_utils2.default.isInteger(i)?i:200;i=parseInt(t.hideDelay);this._hideDelay=_utils2.default.isInteger(i)?i:200;i=parseInt(t.showDelay);this._showDelay=_utils2.default.isInteger(i)?i:200;_utils2.default.bindTo(this,[\"_show\",\"_hide\",\"_handleEnter\",\"_handleLeave\",\"_handleAnimationEnd\",\"_handleClick\"]);this._listeners={mouseenter:this._handleEnter,mouseleave:this._handleLeave,click:[this._handleClick,true]};var s=this._handleAnimationEnd;this._listeners[$tw.utils.convertEventName(\"animationEnd\")]=s;this._listeners[$tw.utils.convertEventName(\"transitionEnd\")]=s;_utils2.default.setDomListeners(\"add\",this._domNode,this._listeners,false)}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Popup\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */Popup.prototype._handleEnter=function(e){this._isPreventShowOrHide=true};Popup.prototype._handleLeave=function(e){this._isPreventShowOrHide=false;this.hide(this._hideDelayLeavingPopup)};Popup.prototype._handleClick=function(e){if(this._isHideOnClick){this._hide(true)}};Popup.prototype._handleAnimationEnd=function(){if(this._isDisplayNoneAfterAnimation){this._domNode.style.display=\"none\"}};Popup.prototype._hide=function(e){if(!e&&this._isPreventShowOrHide)return;this._isDisplayNoneAfterAnimation=true;this._isPreventShowOrHide=false;$tw.utils.removeClass(this._domNode,\"tmap-popup-active\")};Popup.prototype._show=function(e,t){if(this._isPreventShowOrHide||$tm.mouse.ctrlKey||!this._isEnabled){return}this._domNode.style.display=\"none\";$tw.utils.removeClass(this._domNode,\"tmap-popup-active\");this._domNode.removeAttribute(\"style\");_utils2.default.removeDOMChildNodes(this._domNode);var i=this._domNode.appendChild(document.createElement(\"div\"));if(typeof t===\"function\"){t(e,i)}else{i.innerHTML=t}if(!i.childNodes.length)return;var s=this._parentDomNode.getBoundingClientRect();var o=$tm.mouse.clientX;var n=$tm.mouse.clientY;this._domNode.style.display=\"block\";var d=this._domNode.getBoundingClientRect();var l=s.right-(o+d.width);var h=o-d.width-s.left;var a=l>h;var u=s.bottom-(n+d.height);var r=n-d.height-s.top;var p=u>r;var _=a?-15:d.width+15;var m=p?-15:d.height+15;this._domNode.style.left=o-s.left-_+\"px\";this._domNode.style.top=n-s.top-m+\"px\";this._isDisplayNoneAfterAnimation=false;$tw.utils.addClass(this._domNode,\"tmap-popup-active\")};Popup.prototype.show=function(e,t,i){this._clearTimeouts();i=_utils2.default.isInteger(i)?i:this._showDelay;this._timeoutShow=setTimeout(this._show,i,e,t)};Popup.prototype.hide=function(e,t){this._clearTimeouts();e=_utils2.default.isInteger(e)?e:this._hideDelay;if(t||e===0){this._hide(t)}else{this._timeoutHide=setTimeout(this._hide,e,t)}};Popup.prototype.setEnabled=function(e){this._isEnabled=e};Popup.prototype.isShown=function(){return this._domNode.style.display===\"block\"};Popup.prototype._clearTimeouts=function(){clearTimeout(this._timeoutShow);clearTimeout(this._timeoutHide);this._timeoutShow=undefined;this._timeoutHide=undefined};exports.default=Popup;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/Popup.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function t(t,e){for(var i=0;i<e.length;i++){var n=e[i];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(t,n.key,n)}}return function(e,i,n){if(i)t(e.prototype,i);if(n)t(e,n);return e}}();function _classCallCheck(t,e){if(!(t instanceof e)){throw new TypeError(\"Cannot call a class as a function\")}}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle\ntype: application/SelectionRectangle\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var SelectionRectangle=function(){function t(e,i){_classCallCheck(this,t);this.x1=e;this.x2=e;this.y1=i;this.y2=i}_createClass(t,[{key:\"span\",value:function t(e,i){this.x2=e;this.y2=i}},{key:\"getWidth\",value:function t(){return this.x2-this.x1}},{key:\"getHeight\",value:function t(){return this.y2-this.y1}},{key:\"getRect\",value:function t(){return[this.x1,this.y1,this.getWidth(),this.getHeight()]}},{key:\"isPointWithin\",value:function t(e){var i=e.x,n=e.y;var a=this.x1,r=this.x2,s=this.y1,u=this.y2;var h=Math.min(a,r);var c=Math.max(a,r);var l=Math.min(s,u);var o=Math.max(s,u);return h<i&&i<c&&l<n&&n<o}}]);return t}();exports.default=SelectionRectangle;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/SelectionRectangle.js.map\n",
"type": "application/SelectionRectangle",
"module-type": "library"
},
"/home/felo/projects/Tiddlywiki/TiddlyWiki5/plugins/felixhayashi/tiddlymap/js/lib/TypeDefs.js": {
"title": "/home/felo/projects/Tiddlywiki/TiddlyWiki5/plugins/felixhayashi/tiddlymap/js/lib/TypeDefs.js",
"text": "\"use strict\";\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/TypeDefs.js.map\n"
},
"$:/plugins/felixhayashi/tiddlymap/js/config/vis": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/config/vis",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/config/vis\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var visConfig={locale:\"en_EN\",clickToUse:false,autoResize:false,height:\"100%\",width:\"100%\",configure:{enabled:false},interaction:{dragNodes:true,dragView:true,hideEdgesOnDrag:false,hideNodesOnDrag:false,hover:true,navigationButtons:true,multiselect:true,selectable:true,selectConnectedEdges:true,tooltipDelay:600,zoomView:false,keyboard:{enabled:false,speed:{x:10,y:10,zoom:.02},bindToWindow:false}},manipulation:{initiallyActive:true},nodes:{shape:\"box\",shadow:{enabled:false},color:{border:\"#2B7CE9\",background:\"#97C2FC\"}},edges:{smooth:{enabled:true},color:{color:\"#848484\",inherit:false},arrows:{to:{enabled:true}}},layout:{hierarchical:{enabled:false,levelSeparation:200,nodeSpacing:170,treeSpacing:230,sortMethod:\"directed\",parentCentralization:true,edgeMinimization:true,blockShifting:true,direction:\"UD\"}},physics:{forceAtlas2Based:{gravitationalConstant:-300,springLength:0,springConstant:.2,centralGravity:.015,damping:.4},hierarchicalRepulsion:{nodeDistance:120,centralGravity:0,springLength:100,springConstant:.01,damping:.09},solver:\"forceAtlas2Based\",stabilization:{enabled:true,iterations:1e3,updateInterval:10,onlyDynamicEdges:false,fit:false}}};exports.default=visConfig;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/VisConfig.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/lib/environment": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/lib/environment",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _extends=Object.assign||function(e){for(var i=1;i<arguments.length;i++){var a=arguments[i];for(var l in a){if(Object.prototype.hasOwnProperty.call(a,l)){e[l]=a[l]}}}return e};\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/environment\ntype: application/javascript\n module-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var path=exports.path={pluginRoot:\"$:/plugins/felixhayashi/tiddlymap\",edgeTypes:\"$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes\",nodeTypes:\"$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes\",views:\"$:/plugins/felixhayashi/tiddlymap/graph/views\",options:\"$:/plugins/felixhayashi/tiddlymap/config\",dialogs:\"$:/plugins/felixhayashi/tiddlymap/dialog\",footers:\"$:/plugins/felixhayashi/tiddlymap/dialogFooter\",tempRoot:\"$:/temp/tmap\",tempStates:\"$:/temp/tmap/state\",tempPopups:\"$:/temp/tmap/state/popup\",localHolders:\"$:/temp/tmap/holders\"};var ref=exports.ref={defaultViewHolder:\"$:/plugins/felixhayashi/tiddlymap/misc/defaultViewHolder\",graphBar:\"$:/plugins/felixhayashi/tiddlymap/misc/advancedEditorBar\",sysUserConf:\"$:/plugins/felixhayashi/tiddlymap/config/sys/user\",visUserConf:\"$:/plugins/felixhayashi/tiddlymap/config/vis/user\",welcomeFlag:\"$:/plugins/felixhayashi/tiddlymap/flag/welcome\",focusButton:\"$:/plugins/felixhayashi/tiddlymap/misc/focusButton\",sysMeta:\"$:/plugins/felixhayashi/tiddlymap/misc/meta\",liveTab:\"$:/plugins/felixhayashi/tiddlymap/hook/liveTab\",mainEditor:\"$:/plugins/felixhayashi/tiddlymap/hook/editor\",sidebarBreakpoint:\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"};var misc=exports.misc={unknownEdgeLabel:\"tmap:undefined\",liveViewLabel:\"Live View\",defaultViewLabel:\"Default\",mainEditorId:\"main_editor\",arrows:{in:\"⇦\",out:\"➡\",bi:\"⇄\"}};var config=exports.config={sys:{field:{nodeLabel:\"caption\",nodeIcon:\"icon\",nodeInfo:\"description\",viewMarker:\"isview\"},liveTab:{fallbackView:misc.liveViewLabel},suppressedDialogs:{},edgeClickBehaviour:\"manager\",debug:\"false\",notifications:\"true\",popups:{enabled:\"true\",delay:\"600\",width:\"240px\",height:\"140px\"},jsonIndentation:\"1\",alwaysAddNodeIdToViewFilter:\"true\",editNodeOnCreate:\"false\",singleClickMode:\"false\",nodeFilterNeighbours:\"false\",editorMenuBar:{showNeighScopeButton:\"true\",showRasterMenuButton:\"true\",showScreenshotButton:\"true\"}}};var filter=exports.filter={nodeTypes:\"[prefix[\"+path.nodeTypes+\"]]\",edgeTypes:\"[prefix[\"+path.edgeTypes+\"]]\",views:\"[\"+config.sys.field.viewMarker+\"[true]]\",defaultEdgeTypeFilter:\"-[prefix[_]] -[[tw-body:link]] -[[tw-list:tags]] -[[tw-list:list]]\"};var allSelector=\"[all[tiddlers+shadows]!has[draft.of]]\";var s={allEdgeTypes:allSelector+\" +\"+filter.edgeTypes,allNodeTypes:allSelector+\" +\"+filter.nodeTypes,allViews:allSelector+\" +\"+filter.views,allPotentialNodes:\"[all[tiddlers]!is[system]!has[draft.of]]\"};var selector=exports.selector=_extends({},s,{allEdgeTypesById:s.allEdgeTypes+\" +[removeprefix[\"+path.edgeTypes+\"/]]\",allNodeTypesById:s.allNodeTypes+\" +[removeprefix[\"+path.nodeTypes+\"/]]\",allViewsByLabel:s.allViews+\" +[removeprefix[\"+path.views+\"/]]\"});\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/environment.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/exception": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/exception",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function r(r,t){for(var e=0;e<t.length;e++){var o=t[e];o.enumerable=o.enumerable||false;o.configurable=true;if(\"value\"in o)o.writable=true;Object.defineProperty(r,o.key,o)}}return function(t,e,o){if(e)r(t.prototype,e);if(o)r(t,o);return t}}();function _classCallCheck(r,t){if(!(r instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(r,t){if(!r){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:r}function _inherits(r,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}r.prototype=Object.create(t&&t.prototype,{constructor:{value:r,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(r,t):r.__proto__=t}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/exception\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var TiddlyMapError=function(r){_inherits(t,r);function t(r,e){_classCallCheck(this,t);var o=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,r));o.payload=e;return o}_createClass(t,[{key:\"getPayload\",value:function r(){return this.payload}}]);return t}(Error);var EnvironmentError=exports.EnvironmentError=function(r){_inherits(t,r);function t(r){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"Critical parts of the underlying system changed: \"+r))}return t}(TiddlyMapError);var DependencyError=exports.DependencyError=function(r){_inherits(t,r);function t(r){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"TiddlyMap cannot run without: : \"+r))}return t}(TiddlyMapError);var MissingOverrideError=exports.MissingOverrideError=function(r){_inherits(t,r);function t(r,e){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,r.constructor.name+' does not override method \"'+e+'\"'))}return t}(TiddlyMapError);var ResourceNotFoundException=exports.ResourceNotFoundException=function(r){_inherits(t,r);function t(r){_classCallCheck(this,t);for(var e=arguments.length,o=Array(e>1?e-1:0),n=1;n<e;n++){o[n-1]=arguments[n]}return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"Cannot resolve \"+r,o))}return t}(TiddlyMapError);var InvalidArgumentException=exports.InvalidArgumentException=function(r){_inherits(t,r);function t(){_classCallCheck(this,t);for(var r=arguments.length,e=Array(r),o=0;o<r;o++){e[o]=arguments[o]}return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"Invalid or missing argument provided\",e))}return t}(TiddlyMapError);\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/exceptions.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/URL": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/URL",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/URL\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */\n/**\n * <<<\n * Lightweight URL manipulation with JavaScript. This library is\n * independent of any other libraries and has pretty simple interface\n * and lightweight code-base. Some ideas of query string parsing\n * had been taken from Jan Wolter.\"\n *\n * @see http://unixpapa.com/js/querystring.html\n * @license MIT\n * @author Mykhailo Stadnyk <mikhus@gmail.com>\n * <<< https://github.com/Mikhus/jsurl\n *\n * @class\n * @param {string} url\n */function Url(t){this.paths=function(t){var e=\"\",r=0,o;if(t&&t.length&&t+\"\"!==t){if(this.isAbsolute()){e=\"/\"}for(o=t.length;r<o;r++){t[r]=encode(t[r])}this.path=e+t.join(\"/\")}t=(this.path.charAt(0)===\"/\"?this.path.slice(1):this.path).split(\"/\");for(r=0,o=t.length;r<o;r++){t[r]=decode(t[r])}return t};this.encode=encode;this.decode=decode;this.isAbsolute=function(){return this.protocol||this.path.charAt(0)===\"/\"};this.toString=function(){return(this.protocol&&this.protocol+\"://\")+(this.user&&encode(this.user)+(this.pass&&\":\"+encode(this.pass))+\"@\")+(this.host&&this.host)+(this.port&&\":\"+this.port)+(this.path&&this.path)+(this.query.toString()&&\"?\"+this.query)+(this.hash&&\"#\"+encode(this.hash))};parse(this,t)}var map={protocol:\"protocol\",host:\"hostname\",port:\"port\",path:\"pathname\",query:\"search\",hash:\"hash\"},defaultPorts={ftp:21,gopher:70,http:80,https:443,ws:80,wss:443},parse=function t(e,r){var o=document,s=o.createElement(\"a\"),r=r||o.location.href,i=r.match(/\\/\\/(.*?)(?::(.*?))?@/)||[],n;s.href=r;for(n in map){e[n]=s[map[n]]||\"\"}e.protocol=e.protocol.replace(/:$/,\"\");e.query=e.query.replace(/^\\?/,\"\");e.hash=decode(e.hash.replace(/^#/,\"\"));e.user=decode(i[1]||\"\");e.pass=decode(i[2]||\"\");e.port=defaultPorts[e.protocol]==e.port||e.port==0?\"\":e.port;if(!e.protocol&&!/^([a-z]+:)?\\/\\//.test(r)){var h=new Url(o.location.href.match(/(.*\\/)/)[0]),a=h.path.split(\"/\"),p=e.path.split(\"/\"),c=[\"protocol\",\"user\",\"pass\",\"host\",\"port\"],f=c.length;a.pop();for(n=0;n<f;n++){e[c[n]]=h[c[n]]}while(p[0]==\"..\"){a.pop();p.shift()}e.path=(r.charAt(0)!=\"/\"?a.join(\"/\"):\"\")+\"/\"+p.join(\"/\")}else{e.path=e.path.replace(/^\\/?/,\"/\")}e.paths((e.path.charAt(0)==\"/\"?e.path.slice(1):e.path).split(\"/\"));parseQs(e)},encode=function t(e){return encodeURIComponent(e).replace(/'/g,\"%27\")},decode=function t(e){e=e.replace(/\\+/g,\" \");e=e.replace(/%([ef][0-9a-f])%([89ab][0-9a-f])%([89ab][0-9a-f])/gi,function(t,e,r,o){var s=parseInt(e,16)-224,i=parseInt(r,16)-128;if(s==0&&i<32){return t}var n=parseInt(o,16)-128,h=(s<<12)+(i<<6)+n;if(h>65535){return t}return String.fromCharCode(h)});e=e.replace(/%([cd][0-9a-f])%([89ab][0-9a-f])/gi,function(t,e,r){var o=parseInt(e,16)-192;if(o<2){return t}var s=parseInt(r,16)-128;return String.fromCharCode((o<<6)+s)});e=e.replace(/%([0-7][0-9a-f])/gi,function(t,e){return String.fromCharCode(parseInt(e,16))});return e},parseQs=function t(e){var r=e.query;e.query=new function(t){var e=/([^=&]+)(=([^&]*))?/g,r;while(r=e.exec(t)){var o=decodeURIComponent(r[1].replace(/\\+/g,\" \")),s=r[3]?decode(r[3]):\"\";if(this[o]!=null){if(!(this[o]instanceof Array)){this[o]=[this[o]]}this[o].push(s)}else{this[o]=s}}this.clear=function(){for(var t in this){if(!(this[t]instanceof Function)){delete this[t]}}};this.count=function(){var t=0,e;for(e in this){if(!(this[e]instanceof Function)){t++}}return t};this.isEmpty=function(){return this.count()===0};this.toString=function(){var t=\"\",e=encode,r,o;for(r in this){if(this[r]instanceof Function){continue}if(this[r]instanceof Array){var s=this[r].length;if(s){for(o=0;o<s;o++){t+=t?\"&\":\"\";t+=e(r)+\"=\"+e(this[r][o])}}else{t+=(t?\"&\":\"\")+e(r)+\"=\"}}else{t+=t?\"&\":\"\";t+=e(r)+\"=\"+e(this[r])}}return t}}(r)};exports.default=Url;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/url.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.bindTo=exports.getNearestRasterPosition=exports.mod=exports.removeDOMChildNodes=exports.setDomListeners=exports.merge=exports.getRandomLabel=exports.getFirstElementByClassName=exports.getImgFromWeb=exports.pickRandom=exports.hasKeyWithPrefix=exports.getWithoutPrefix=exports.getPropertiesByPrefix=exports.removeArrayElement=exports.isTrue=exports.replaceAll=exports.isInteger=exports.findAndRemoveClassNames=exports.getAncestorWithClass=exports.makeHashMap=exports.getWithoutNewLines=exports.joinAndWrap=exports.parseJSON=exports.hasSubString=exports.inArray=exports.getRandomInt=exports.isEqual=exports.identity=exports.base64=exports.startsWith=exports.getBasename=exports.escapeRegex=exports.hasElements=exports.ucFirst=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var ucFirst=exports.ucFirst=function e(t){return t&&t[0].toUpperCase()+t.slice(1)};var hasElements=exports.hasElements=function e(t){return Object.keys(t).length>0};var escapeRegex=exports.escapeRegex=function e(t){return t.replace(/[-$^?.+*[\\]\\\\(){}|]/g,\"\\\\$&\")};var getBasename=exports.getBasename=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"/\";return t.substring(t.lastIndexOf(r)+1)};var startsWith=exports.startsWith=function e(t,r){return t.substring(0,r.length)===r};var base64=exports.base64=typeof window===\"undefined\"?function(e){return new Buffer(e).toString(\"base64\")}:window.btoa.bind(window);var identity=exports.identity=function e(t){return(typeof t===\"undefined\"?\"undefined\":_typeof(t))===\"object\"&&t!==null?JSON.stringify(Object.keys(t).sort().map(function(e){return[e,t[e]]})):null};var isEqual=exports.isEqual=function e(t,r){return identity(t)===identity(r)};var getRandomInt=exports.getRandomInt=function e(t,r){return Math.floor(Math.random()*(r-t)+t)};var inArray=exports.inArray=function e(t,r){return r.indexOf(t)!==-1};var hasSubString=exports.hasSubString=function e(t,r){return t.indexOf(r)!==-1};var parseJSON=exports.parseJSON=function e(t,r){try{return JSON.parse(t)}catch(e){return r}};var joinAndWrap=exports.joinAndWrap=function e(t,r,n){var o=arguments.length>3&&arguments[3]!==undefined?arguments[3]:\" \";return r+t.join(n+o+r)+n};var getWithoutNewLines=exports.getWithoutNewLines=function e(t){return typeof t===\"string\"?t.replace(/[\\n\\r]/g,\" \"):t};var makeHashMap=exports.makeHashMap=function e(t){var r=Object.create(null);Object.defineProperty(r,\"hasOwnProperty\",{enumerable:false,configurable:false,writable:false,value:Object.prototype.hasOwnProperty.bind(r)});if(t){for(var n in t){if(t.hasOwnProperty(n)){r[n]=t[n]}}}return r};var getAncestorWithClass=exports.getAncestorWithClass=function e(t,r){if((typeof t===\"undefined\"?\"undefined\":_typeof(t))!==\"object\"||typeof r!==\"string\"){return}while(t.parentNode&&t.parentNode!==document){t=t.parentNode;if(t.classList.contains(r)){return t}}};var findAndRemoveClassNames=exports.findAndRemoveClassNames=function e(t){for(var r=t.length;r--;){var n=document.getElementsByClassName(t[r]);for(var o=n.length;o--;){n[o].classList.remove(t[r])}}};var isInteger=exports.isInteger=Number.isInteger||function(e){return typeof e===\"number\"&&isFinite(e)&&Math.floor(e)===e};var replaceAll=exports.replaceAll=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"\";var n=arguments[2];for(var o=n.length;o--;){var s=n[o];var i=r;if(Array.isArray(s)){i=s[1];s=s[0]}t=t.replace(s,i)}return t};var isTrue=exports.isTrue=function e(t,r){if(t==null){return!!r}else if(typeof t===\"string\"){var n=parseInt(t);return isNaN(n)?t===\"true\":n!==0}else if(typeof t===\"boolean\"){return t}else if(typeof t===\"number\"){return n!==0}return false};var removeArrayElement=exports.removeArrayElement=function e(t,r){var n=t.indexOf(r);if(n>-1){return t.splice(n,1)[0]}};var getPropertiesByPrefix=exports.getPropertiesByPrefix=function e(t,r,n){var o=makeHashMap();for(var s in t){if(startsWith(s,r)){o[n?s.substr(r.length):s]=t[s]}}return o};var getWithoutPrefix=exports.getWithoutPrefix=function e(t,r){return startsWith(t,r)?t.substr(r.length):t};var hasKeyWithPrefix=exports.hasKeyWithPrefix=function e(t,r){for(var n in t){if(startsWith(n,r)){return true}}return false};var pickRandom=exports.pickRandom=function e(t){return t[getRandomInt(0,t.length-1)]};var getImgFromWeb=exports.getImgFromWeb=function e(t,r){if(!t||typeof r!==\"function\")return;var n=new XMLHttpRequest;n.open(\"GET\",t,true);n.responseType=\"blob\";n.onerror=function(e){console.log(e)};n.onload=function(e){if(this.readyState===4&&(this.status===200||this.status===0&&this.response.size>0)){var t=this.response;r(window.URL.createObjectURL(t))}};try{n.send()}catch(e){console.log(e)}};var getFirstElementByClassName=exports.getFirstElementByClassName=function e(t,r,n){var o=(r||document).getElementsByClassName(t)[0];if(!o&&(typeof n===\"boolean\"?n:true)){var s='Missing element with class \"'+t+'\" inside '+r;throw new _exception.EnvironmentError(s)}return o};var getRandomLabel=exports.getRandomLabel=function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};var r=pickRandom([\"exciting\",\"notable\",\"epic\",\"new\",\"fancy\",\"great\",\"cool\",\"fresh\",\"funky\",\"clever\"]);var n=(t.object||pickRandom([\"concept\",\"idea\",\"thought\",\"topic\",\"subject\"]))+(t.plural?\"s\":\"\");return\"My \"+r+\" \"+n};var _merge=function e(t,r){if((typeof t===\"undefined\"?\"undefined\":_typeof(t))!==\"object\"){t={}}for(var n in r){if(r.hasOwnProperty(n)){if(r[n]!=null){t[n]=_typeof(r[n])===\"object\"?e(t[n],r[n]):r[n]}}}return t};var merge=exports.merge=function e(t){for(var r=arguments.length,n=Array(r>1?r-1:0),o=1;o<r;o++){n[o-1]=arguments[o]}for(var s=0,i=n.length;s<i;s++){var a=n[s];if(a!=null&&(typeof a===\"undefined\"?\"undefined\":_typeof(a))===\"object\"){t=_merge(t,a)}}return t};var setDomListeners=exports.setDomListeners=function e(t,r,n,o){o=typeof o===\"boolean\"?o:false;t=t+\"EventListener\";for(var s in n){var i=n[s];if(typeof i===\"function\"){r[t](s,i,o)}else{r[t](s,i[0],typeof i[1]===\"boolean\"?i[1]:o)}}};var removeDOMChildNodes=exports.removeDOMChildNodes=function e(t){for(var r=t.childNodes.length;r--;){t.removeChild(t.childNodes[r])}};var mod=exports.mod=function e(t,r){var n=t%r;return Math.floor(n>=0?n:n+r)};var getNearestRasterPosition=exports.getNearestRasterPosition=function e(t,r){var n=t.x,o=t.y;var s=r/2;var i=mod(n,r);var a=mod(o,r);return{x:i<s?n-i:n-i+r,y:a<s?o-a:o-a+r}};var bindTo=exports.bindTo=function e(t,r){for(var n=r.length;n--;){var o=t[r[n]];t[r[n]]=o.bind(t)}};\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/basic.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var generateDraftTitle=exports.generateDraftTitle=function e(n){var r=0,t=void 0;do{t=\"Draft \"+(r?r+1+\" \":\"\")+\"of '\"+n+\"'\";r++}while($tw.wiki.tiddlerExists(t));return t};var makeDraftTiddler=exports.makeDraftTiddler=function e(n){var r=$tw.wiki.findDraft(n);if(r){return $tw.wiki.getTiddler(r)}var t=$tw.wiki.getTiddler(n);r=generateDraftTitle(n);var l=new $tw.Tiddler(t,{title:r,\"draft.title\":n,\"draft.of\":n},$tw.wiki.getModificationFields());$tw.wiki.addTiddler(l);return l};var getFullScreenApis=exports.getFullScreenApis=function e(){var n=document,r=n.body,t={_requestFullscreen:r.webkitRequestFullscreen!==undefined?\"webkitRequestFullscreen\":r.mozRequestFullScreen!==undefined?\"mozRequestFullScreen\":r.msRequestFullscreen!==undefined?\"msRequestFullscreen\":r.requestFullscreen!==undefined?\"requestFullscreen\":\"\",_exitFullscreen:n.webkitExitFullscreen!==undefined?\"webkitExitFullscreen\":n.mozCancelFullScreen!==undefined?\"mozCancelFullScreen\":n.msExitFullscreen!==undefined?\"msExitFullscreen\":n.exitFullscreen!==undefined?\"exitFullscreen\":\"\",_fullscreenElement:n.webkitFullscreenElement!==undefined?\"webkitFullscreenElement\":n.mozFullScreenElement!==undefined?\"mozFullScreenElement\":n.msFullscreenElement!==undefined?\"msFullscreenElement\":n.fullscreenElement!==undefined?\"fullscreenElement\":\"\",_fullscreenChange:n.webkitFullscreenElement!==undefined?\"webkitfullscreenchange\":n.mozFullScreenElement!==undefined?\"mozfullscreenchange\":n.msFullscreenElement!==undefined?\"MSFullscreenChange\":n.fullscreenElement!==undefined?\"fullscreenchange\":\"\"};if(!t._requestFullscreen||!t._exitFullscreen||!t._fullscreenElement){return null}else{return t}};var flatten=exports.flatten=function e(n){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var t=r.delimiter||\".\";var l=r.prefix||\"\";var i={};function u(e,n){Object.keys(e).forEach(function(f){var s=e[f];var c=r.safe&&Array.isArray(s);var a=Object.prototype.toString.call(s);var d=a===\"[object Object]\"||a===\"[object Array]\";var o=n?n+t+f:l+f;if(!c&&d){return u(s,o)}i[o]=s})}u(n);return i};var unflatten=exports.unflatten=function e(n){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var t=r.delimiter||\".\";var l={};if(Object.prototype.toString.call(n)!==\"[object Object]\"){return n}function i(e){var n=Number(e);return isNaN(n)||e.indexOf(\".\")!==-1?e:n}Object.keys(n).forEach(function(u){var f=u.split(t);var s=i(f.shift());var c=i(f[0]);var a=l;while(c!==undefined){if(a[s]===undefined){a[s]=typeof c===\"number\"&&!r.object?[]:{}}a=a[s];if(f.length>0){s=i(f.shift());c=i(f[0])}}a[s]=e(n[u],r)});return l};var genUUID=exports.genUUID=function(){var e=\"0123456789abcdefghijklmnopqrstuvwxyz\".split(\"\");return function(){var n=e,r=new Array(36);var t=0,l;for(var i=0;i<36;i++){if(i==8||i==13||i==18||i==23){r[i]=\"-\"}else if(i==14){r[i]=\"4\"}else{if(t<=2)t=33554432+Math.random()*16777216|0;l=t&15;t=t>>4;r[i]=n[i==19?l&3|8:l]}}return r.join(\"\")}}();\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/thirdParty.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.getSnapshotTitle=exports.getArrayValuesAsHashmapKeys=exports.getLookupTable=exports.keyOfItemWithProperty=exports.keysOfItemsWithProperty=exports.getDublicates=exports.getId=exports.refreshDataSet=exports.drawRaster=exports.getPrettyFilter=exports.groupByProperty=exports.isEdgeTypeMatch=exports.getEdgeTypeMatches=exports.getDataUri=exports.convert=exports.getValues=exports.getIterableCollection=exports.getLabel=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _basic=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\");var basicUtils=_interopRequireWildcard(_basic);var _wiki=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki\");var wikiUtils=_interopRequireWildcard(_wiki);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}var getLabel=exports.getLabel=function e(t,r){var i=wikiUtils.getTiddler(t);return(i&&i.fields[r]?i.fields[r]:i.fields.title).replace(\"\\\\n\",\"\\n\")};var getIterableCollection=exports.getIterableCollection=function e(t){return t instanceof _vis2.default.DataSet?t.get():t};var getValues=exports.getValues=function e(t){if(Array.isArray(t)){return t}else if(t instanceof _vis2.default.DataSet){return t.get({returnType:\"Array\"})}var r=[];var i=Object.keys(t);for(var a=i.length;a--;){r.push(t[i[a]])}return r};var convert=exports.convert=function e(t,r){if((typeof t===\"undefined\"?\"undefined\":_typeof(t))!==\"object\"){throw new _exception.InvalidArgumentException(t,r)}if(r===\"object\"){r=\"hashmap\"}var i={array:function e(t){return getValues(t)},hashmap:function e(t){return t instanceof _vis2.default.DataSet?t.get({returnType:\"Object\"}):t},dataset:function e(t){return t instanceof _vis2.default.DataSet?t:!Array.isArray(t)?getValues(t):new _vis2.default.DataSet(t)}};return i[r](t)};var getDataUri=exports.getDataUri=function e(t,r,i){var a=wikiUtils.getTiddler(t);r=r||a.fields.type||\"image/svg+xml\";var s=a.fields.text;var o=$tw.config.contentTypeInfo[r].encoding;if(r===\"image/svg+xml\"){s=s.replace(/\\r?\\n|\\r/g,\" \");if(!basicUtils.hasSubString(\"xmlns\",s)){s=s.replace(/<svg/,'<svg xmlns=\"http://www.w3.org/2000/svg\"')}}if(i&&o!==\"base64\"){o=\"base64\";s=basicUtils.base64(s)}return\"data:\"+r+\";\"+o+\",\"+s};var eTyFiltAutoPrefix=\"[all[]] \";var getEdgeTypeMatches=exports.getEdgeTypeMatches=function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:\"\";var r=arguments[1];if(!r){r=wikiUtils.getTiddlersByPrefix($tm.path.edgeTypes+\"/\",{iterator:\"eachTiddlerPlusShadows\",removePrefix:true})}if(r!=null&&!Array.isArray(r)){r=Object.keys(r)}return wikiUtils.getMatches(eTyFiltAutoPrefix+t,r)};var isEdgeTypeMatch=exports.isEdgeTypeMatch=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"\";return wikiUtils.isMatch(t,eTyFiltAutoPrefix+r)};var groupByProperty=exports.groupByProperty=function e(t,r){t=getIterableCollection(t);var i=basicUtils.makeHashMap();var a=Object.keys(t);for(var s in a){var o=t[a[s]];var n=o[r];if(n==null){throw\"Cannot group by property \"+r}else{if(!Array.isArray(i[n])){i[n]=[]}i[n].push(o)}}return i};var getPrettyFilter=exports.getPrettyFilter=function e(t){t=t.trim().replace(\"][\",\"] [\");var r=/[+-]?\\[.+?[\\]\\}\\>]\\]/g;var i=t.match(r);t=t.replace(r,\" [] \").trim();var a=t.split(/\\s+/);var s=0;var o=[];for(var n=0,l=a.length;n<l;n++){o[n]=a[n]===\"[]\"?i[s++]:a[n]}return o.join(\"\\n\")};var drawRaster=exports.drawRaster=function e(t,r,i,a){var s=arguments.length>4&&arguments[4]!==undefined?arguments[4]:\"#D9D9D9\";var o=basicUtils.getNearestRasterPosition(i,a),n=o.x,l=o.y;var u=t.canvas.width/r;var p=t.canvas.height/r;var f=a*2;var v=Math.ceil(u/a/2)*a+f;var c=Math.ceil(p/a/2)*a+f;var y=n-v;var g=n+v;var d=l-c;var h=l+c;t.beginPath();for(var b=y;b<g;b+=a){t.moveTo(b,d);t.lineTo(b,h)}for(var x=d;x<=h;x+=a){t.moveTo(y,x);t.lineTo(g,x)}t.strokeStyle=s;t.fillStyle=s;t.stroke()};var refreshDataSet=exports.refreshDataSet=function e(t,r){var i=t.get({returnType:\"Object\"});var a=[];var s=[];var o=[];var n=[];for(var l in r){if(i[l]){if(basicUtils.isEqual(i[l],r[l])){continue}s.push(l);t.remove(l)}else{a.push(l)}if(r[l].x===undefined){o.push(l)}t.add(r[l])}for(var u in i){if(!r[u]){n.push(u);t.remove(u)}}return{withoutPosition:o,inserted:a,updated:s,removed:n}};var getId=exports.getId=function e(t){return wikiUtils.getTiddler(t).fields[\"tmap.id\"]};var getDublicates=exports.getDublicates=function e(t){var r=getId(t);if(!r){return[]}var i=wikiUtils.getTiddlersWithField(\"tmap.id\",r,{limit:2});delete i[wikiUtils.getTiddlerRef(t)];return Object.keys(i)};var keysOfItemsWithProperty=exports.keysOfItemsWithProperty=function e(t,r,i,a){t=getIterableCollection(t);var s=Object.keys(t);var o=[];a=typeof a===\"number\"?a:s.length;for(var n=0,l=s.length;n<l;n++){var u=s[n];if(_typeof(t[u])===\"object\"&&t[u][r]){if(!i||t[u][r]===i){o.push(u);if(o.length===a){break}}}}return o};var keyOfItemWithProperty=exports.keyOfItemWithProperty=function e(t,r,i){return keysOfItemsWithProperty(t,r,i,1)[0]};var getLookupTable=exports.getLookupTable=function e(t,r){t=getIterableCollection(t);var i=basicUtils.makeHashMap();var a=Object.keys(t);for(var s=0,o=a.length;s<o;s++){var n=a[s];var l=r?t[n][r]:t[n];var u=typeof l===\"undefined\"?\"undefined\":_typeof(l);if(u===\"string\"&&l!==\"\"||u===\"number\"){if(!i[l]){i[l]=r?t[n]:true;continue}}if(r){throw new Error('Cannot use \"'+l+'\" as lookup table index')}}return i};var getArrayValuesAsHashmapKeys=exports.getArrayValuesAsHashmapKeys=getLookupTable;var getSnapshotTitle=exports.getSnapshotTitle=function e(t,r){return\"Snapshot – \"+t+\" (\"+(new Date).toDateString()+\").\"+(r||\"png\")};\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/tmap.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/utils": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/utils",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.utils=undefined;var _extends=Object.assign||function(i){for(var r=1;r<arguments.length;r++){var t=arguments[r];for(var e in t){if(Object.prototype.hasOwnProperty.call(t,e)){i[e]=t[e]}}}return i};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/utils\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _basic=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\");var basicUtils=_interopRequireWildcard(_basic);var _thirdParty=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty\");var thirdPartyUtils=_interopRequireWildcard(_thirdParty);var _wiki=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki\");var wikiUtils=_interopRequireWildcard(_wiki);var _tmap=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap\");var tMapUtils=_interopRequireWildcard(_tmap);function _interopRequireWildcard(i){if(i&&i.__esModule){return i}else{var r={};if(i!=null){for(var t in i){if(Object.prototype.hasOwnProperty.call(i,t))r[t]=i[t]}}r.default=i;return r}}var utils=exports.utils=_extends({},basicUtils,thirdPartyUtils,wikiUtils,tMapUtils);exports.default=utils;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/utils.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.touch=exports.addTiddler=exports.getTiddlersByPrefix=exports.getTiddlerWithField=exports.getTiddlersWithField=exports.deleteByPrefix=exports.cp=exports.mv=exports.addTWlisteners=exports.getChildWidgetByProperty=exports.getMergedTiddlers=exports.isSystemOrDraft=exports.isDraft=exports.setText=exports.getText=exports.isLeftVersionGreater=exports.getEntry=exports.setEntry=exports.clone=exports.writeFieldData=exports.parseFieldData=exports.isPreviewed=exports.notify=exports.registerTransclude=exports.getElementNode=exports.getTiddlerNode=exports.getTranscludeNode=exports.isMatch=exports.getMatches=exports.moveFieldValues=exports.deleteTiddlers=exports.setField=exports.setSidebarTab=exports.tiddlerExists=exports.getField=exports.getTiddler=exports.getTiddlerRef=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _basic=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\");var basicUtils=_interopRequireWildcard(_basic);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _defineProperty(e,t,r){if(t in e){Object.defineProperty(e,t,{value:r,enumerable:true,configurable:true,writable:true})}else{e[t]=r}return e}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var getTiddlerRef=exports.getTiddlerRef=function e(t){if(t instanceof $tw.Tiddler){return t.fields.title}else if(typeof t===\"string\"){return t}else{throw new _exception.InvalidArgumentException(t)}};var getTiddler=exports.getTiddler=function e(t){return $tw.wiki.getTiddler(t instanceof $tw.Tiddler?t.fields.title:t)};var getField=exports.getField=function e(t,r){var i=arguments.length>2&&arguments[2]!==undefined?arguments[2]:\"\";var d=getTiddler(t);return!d?i:d.fields[r]||i};var tiddlerExists=exports.tiddlerExists=function e(t){if(!t){return false}var r=getTiddlerRef(t);return Boolean(r&&($tw.wiki.tiddlerExists(r)||$tw.wiki.isShadowTiddler(r)))};var setSidebarTab=exports.setSidebarTab=function e(t){setText(getTiddlersByPrefix(\"$:/state/tab/sidebar-\")[0],t)};var setField=exports.setField=function e(t,r,i){if(!t||!r){return}var d=getTiddlerRef(t);var s=_defineProperty({title:d},r,i);var n=$tw.wiki.getTiddler(d,true);if(r!==\"text\"&&n&&!n.fields.text){s.text=\"\"}n=new $tw.Tiddler(n,s);$tw.wiki.addTiddler(n);return n};var deleteTiddlers=exports.deleteTiddlers=function e(t){var r=Object.keys(t);var i=$tw.wiki.getTiddlerList(\"$:/StoryList\");for(var d=r.length;d--;){var s=getTiddlerRef(t[r[d]]);if(!$tw.wiki.tiddlerExists(t[r[d]])){continue}var n=i.indexOf(s);if(n!==-1){i.splice(n,1);setField(\"$:/StoryList\",\"list\",i)}$tw.wiki.deleteTiddler(s)}};var moveFieldValues=exports.moveFieldValues=function e(t,r,i,d,s){if(t===r)return;var n=s||$tw.wiki.allTitles();for(var l=n.length;l--;){var a=getTiddler(n[l]);if(a.isDraft()||!a.fields[t]){continue}if(!d&&$tw.wiki.isSystemTiddler(n[l])){continue}var o=_defineProperty({},r,a.fields[t]);if(i){o[t]=undefined}$tw.wiki.addTiddler(new $tw.Tiddler(a,o))}};var getMatches=exports.getMatches=function e(t,r,i){var d=undefined;var s=$tw.wiki;if(typeof t===\"string\"){t=s.compileFilter(t)}if(r!=null&&(typeof r===\"undefined\"?\"undefined\":_typeof(r))===\"object\"){if(!Array.isArray(r)){r=Object.keys(r)}d=function e(t){for(var i=r.length;i--;){var d=s.getTiddler(r[i]);t(d,r[i])}}}return t.call(s,d,i)};var isMatch=exports.isMatch=function e(t,r){return getTiddlerRef(t)===getMatches(r,[getTiddlerRef(t)])[0]};var getTranscludeNode=exports.getTranscludeNode=function e(t,r){return{type:\"transclude\",attributes:{tiddler:{type:\"string\",value:getTiddlerRef(t)}},children:[],isBlock:!!r}};var getTiddlerNode=exports.getTiddlerNode=function e(t){return{type:\"tiddler\",attributes:{tiddler:{type:\"string\",value:getTiddlerRef(t)}},children:[]}};var getElementNode=exports.getElementNode=function e(t,r,i){return{type:\"element\",tag:t,attributes:{class:{type:\"string\",value:r}},children:i?[{type:\"text\",text:i}]:[]}};var registerTransclude=exports.registerTransclude=function e(t,r,i){basicUtils.removeArrayElement(t.children,t[r]);t[r]=t.makeChildWidget(getTranscludeNode(i,true));t.children.push(t[r]);return t[r]};var notify=exports.notify=function e(t){var r=\"$:/temp/tiddlymap/notify\";$tw.wiki.addTiddler(new $tw.Tiddler({title:r,text:t}));$tw.notifier.display(r)};var isPreviewed=exports.isPreviewed=function e(t){if(!t){return false}if(t.domNode.isTiddlyWikiFakeDom){return true}if(t.getVariable(\"tv-tiddler-preview\")){return true}else{var r=\"tc-tiddler-preview-preview\";return!!basicUtils.getAncestorWithClass(t.parentDomNode,r)}};var parseFieldData=exports.parseFieldData=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"text\";var i=arguments[2];var d=getTiddler(t);if(!d){return i}return basicUtils.parseJSON(d.fields[r],i)};var writeFieldData=exports.writeFieldData=function e(t,r,i,d){if((typeof i===\"undefined\"?\"undefined\":_typeof(i))!==\"object\"){return}d=parseInt(d);d=d>0&&r===\"text\"?d:0;setField(t,r,JSON.stringify(i,null,d))};var clone=exports.clone=function e(t,r){setField(t,\"title\",r)};var setEntry=exports.setEntry=function e(t,r,i){$tw.wiki.setText(getTiddlerRef(t),null,r,i)};var getEntry=exports.getEntry=function e(t,r,i){var d=$tw.wiki.getTiddlerData(getTiddlerRef(t),{});return d[r]==null?i:d[r]};var isLeftVersionGreater=exports.isLeftVersionGreater=function e(t,r){return t!==r&&$tw.utils.checkVersions(t,r)};var getText=exports.getText=function e(t,r){return getField(t,\"text\",r)};var setText=exports.setText=function e(t,r){setField(t,\"text\",r)};var isDraft=exports.isDraft=function e(t){var r=getTiddler(t);return r&&r.isDraft()};var isSystemOrDraft=exports.isSystemOrDraft=function e(t){return $tw.wiki.isSystemTiddler(getTiddlerRef(t))||isDraft(t)};var getMergedTiddlers=exports.getMergedTiddlers=function e(t,r){if(!Array.isArray(t)){return}for(var i=t.length;i--;){t[i]=getTiddler(t[i])}if(!t.length){return}t.push({title:r||t[0].fields.title},$tw.wiki.getModificationFields(),$tw.wiki.getCreationFields());t.unshift(null);return new(Function.prototype.bind.apply($tw.Tiddler,t))};var getChildWidgetByProperty=exports.getChildWidgetByProperty=function e(t,r,i){var d=t.children;for(var s=d.length;s--;){var n=d[s];if(n[r]===i){return n}else{n=e(n,r,i);if(n){return n}}}};var addTWlisteners=exports.addTWlisteners=function e(t,r,i){for(var d in t){r.addEventListener(d,t[d].bind(i))}};var mv=exports.mv=function e(t,r,i,d){if(t===r||!t||!r){return}i=typeof i===\"boolean\"?i:false;d=typeof d===\"boolean\"?d:true;var s=getTiddlersByPrefix(t);var n=basicUtils.makeHashMap();for(var l=s.length;l--;){var a=s[l];var o=a.replace(t,r);if($tw.wiki.tiddlerExists(o)&&!i){return}n[a]=o}for(var f in n){setField(f,\"title\",n[f]);if(d){$tw.wiki.deleteTiddler(f)}}return n};var cp=exports.cp=function e(t,r,i){return mv(t,r,i,false)};var deleteByPrefix=exports.deleteByPrefix=function e(t,r){if(!t){return}r=r||$tw.wiki.allTitles();var i=[];for(var d=r.length;d--;){if(basicUtils.startsWith(r[d],t)){$tw.wiki.deleteTiddler(r[d]);i.push(i[d])}}return i};var getTiddlersWithField=exports.getTiddlersWithField=function e(t,r){var i=arguments.length>2&&arguments[2]!==undefined?arguments[2]:{};var d=i.tiddlers||$tw.wiki.allTitles();var s=i.isIncludeDrafts===true;var n=basicUtils.makeHashMap();var l=Object.keys(d);var a=$tw.utils.hop;var o=i.limit||0;for(var f=l.length;f--;){var u=getTiddler(d[l[f]]);var p=u.fields;if(a(p,t)&&(!a(p,\"draft.of\")||s)){if(!r||p[t]===r){n[p.title]=u;if(--o===0){break}}}}return n};var getTiddlerWithField=exports.getTiddlerWithField=function e(t,r){return Object.keys(getTiddlersWithField(t,r,{limit:1}))[0]};var getTiddlersByPrefix=exports.getTiddlersByPrefix=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var i=r.removePrefix===true;var d=[];var s=$tw.wiki[r.iterator||\"each\"];s(function(e,r){if(basicUtils.startsWith(r,t)){d.push(i?basicUtils.getWithoutPrefix(r,t):r)}});return d};var addTiddler=exports.addTiddler=function e(t,r){var i=getTiddler(t);if(!r&&i){return i}i=new $tw.Tiddler({title:t,text:\"\"},$tw.wiki.getModificationFields(),$tw.wiki.getCreationFields());$tw.wiki.addTiddler(i);return i};var touch=exports.touch=function e(t){if(!t){return}var r=new $tw.Tiddler(getTiddler(t),$tw.wiki.getModificationFields());$tw.wiki.addTiddler(r)};\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/wiki.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/macro/tmap": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/macro/tmap",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.params=exports.name=exports.run=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\ntitle: $:/plugins/felixhayashi/tiddlymap/js/macro/tmap\ntype: application/javascript\nmodule-type: macro\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}var name=\"tmap\";var params=getParamSlots(5);function run(){this.substVarRefs=this.substituteVariableReferences;var e=command[arguments[0]];var t=null;if(typeof e===\"function\"){var r=Array.prototype.slice.call(arguments,1);t=e.apply(this,r)}return typeof t===\"string\"?t:\"\"}function getParamSlots(e){var t=[];for(var r=0;r<e;r++){t.push({name:\"arg\"+r})}return t}var command=_utils2.default.makeHashMap();command.basename=function(e){var t=this.getVariable(\"currentTiddler\");return _utils2.default.getBasename(t,e)};command.datauri=function(e,t){return _utils2.default.getDataUri(e,t,true)};command.testJSON=function(e){var t=$tw.wiki.getTiddler(this.getVariable(\"currentTiddler\"));try{JSON.parse(t.fields[e]);return\"valid\"}catch(e){return\"malformed\"}};command.splitAndSelect=function(e,t){var r=this.getVariable(\"currentTiddler\");var a=r.split(e)[t];return a!=null?a:r};command.concat=function(){var e=\"\";for(var t=1,r=arguments.length;t<r;t++){e+=arguments[t]}return e};command.uuid=function(){return _utils2.default.genUUID()};command.regRepl=function(){var e=this.substVarRefs(arguments[0]);var t=arguments[1];var r=this.substVarRefs(arguments[2]);var a=this.substVarRefs(arguments[4]);return e.replace(new RegExp(t,a),r)};command.halfOfString=function(){var e=this.substVarRefs(arguments[0]);if(!e){return\"\"}return e.substr(0,Math.ceil(e.length/2))};command.isETyVisible=function(e,t){e=new _ViewAbstraction2.default(e);var r=command.getETyId.call(this,e,t);return\"\"+e.isEdgeTypeVisible(r)};command.getETyId=function(e,t){e=new _ViewAbstraction2.default(e);var r=_EdgeType2.default.getInstance(t||this.getVariable(\"currentTiddler\"));if(!r.namespace){var a=_EdgeType2.default.getIdParts(r.id),n=a.marker,i=a.name;var u=e.getConfig(\"edge_type_namespace\");r=_EdgeType2.default.getInstance(_EdgeType2.default.getId(n,u,i))}return r.id};command.scale=function(){var e=\"\";for(var t=1,r=parseInt(arguments[0]);t<r;t++){e+=\"[[\"+t+\"]]\"}return e};command.mergeFields=function(){var e=_utils2.default.getTiddler(arguments[0]);var t=arguments[1];var r=arguments[2]||\" \";if(!e)return;var a=_utils2.default.getPropertiesByPrefix(e.fields,t);var n=\"\";for(var i in a){if(typeof a[i]===\"string\"){n+=a[i]+r}}return n};command.option=function(e,t){if(typeof $tm==\"undefined\"){return\"\"}var r=$tm;var a=e.split(\".\");for(var n=0;n<a.length;n++){if((typeof r===\"undefined\"?\"undefined\":_typeof(r))==\"object\"&&r[a[n]]){r=r[a[n]]}}if(t&&typeof r===\"string\"&&_utils2.default.hasSubString(t)&&r.lastIndexOf(t)+t.length===r.length){r=r+t}return r};exports.run=run;exports.name=name;exports.params=params;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/macro/MapMacro.js.map\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/plugins/felixhayashi/tiddlymap/js/Adapter": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/Adapter",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Adapter\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);var _contrastcolour=require(\"$:/core/modules/macros/contrastcolour.js\");function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _defineProperty(e,t,i){if(t in e){Object.defineProperty(e,t,{value:i,enumerable:true,configurable:true,writable:true})}else{e[t]=i}return e}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var Adapter=function(){function e(t,i){_classCallCheck(this,e);this.getTiddlerById=t.getTiddlerById.bind(t);this.getId=t.getIdByTiddler.bind(t);this.assignId=t.assignId.bind(t);this.edgeTypeSubscriberRegistry=i;this.indeces=$tm.indeces;this.wiki=$tw.wiki;this.visShapesWithTextInside=_utils2.default.getLookupTable([\"ellipse\",\"circle\",\"database\",\"box\",\"text\"])}_createClass(e,[{key:\"deleteEdge\",value:function e(t){return this._processEdge(t,\"delete\")}},{key:\"insertEdge\",value:function e(t){return this._processEdge(t,\"insert\")}},{key:\"deleteEdges\",value:function e(t){t=_utils2.default.convert(t,\"array\");for(var i=t.length;i--;){this.deleteEdge(t[i])}}},{key:\"_processEdge\",value:function e(t,i){$tm.logger(\"debug\",\"Edge\",i,t);var r=this.getTiddlerById(t.from);if(!r||!_utils2.default.tiddlerExists(r)){return}var a=_utils2.default.getTiddler(r);var s=this.indeces.allETy[t.type]||_EdgeType2.default.getInstance(t.type);var l=this.edgeTypeSubscriberRegistry.getAllForType(s);var n=i+\"Edge\";for(var d=l.length;d--;){l[d][n](a,t,s)}if(i===\"insert\"&&!s.exists()){s.save()}return t}},{key:\"getAdjacencyList\",value:function e(t){var i=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};$tm.start(\"Creating adjacency list\");if(!i.edges){var r=_utils2.default.getMatches(env.selector.allPotentialNodes);i.edges=this.getEdgesForSet(r,i.toWL,i.typeWL)}var a=_utils2.default.groupByProperty(i.edges,t||\"to\");$tm.stop(\"Creating adjacency list\");return a}},{key:\"getNeighbours\",value:function e(t){var i=this;var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};$tm.start(\"Get neighbours\");var a=r.addProperties,s=r.toWL,l=r.typeWL,n=r.steps;var d=this.indeces.allETy;var o=_utils2.default.getArrayValuesAsHashmapKeys(t);var u=_ViewAbstraction2.default.exists(r.view)?new _ViewAbstraction2.default(r.view):null;var f=_utils2.default.makeHashMap();var g=_utils2.default.makeHashMap();var c=parseInt(n)>0?n:1;var v=r.direction||u&&u.getConfig(\"neighbourhood_directions\");var y=!v||v===\"both\";var h=y||v===\"in\";var p=y||v===\"out\";var _=u&&\"[all[]] \"+u.getNodeFilter(\"raw\");var b=this.getAdjacencyList(\"to\",r);var m=function e(t,r,s){f[t.id]=t;var l=i.getTiddlerById(t[r]);if(u&&_utils2.default.isTrue($tm.config.sys.nodeFilterNeighbours)&&!_utils2.default.isMatch(l,_)){return}if(!o[l]){o[l]=true;var n=i.makeNode(l,a);if(n){g[n.id]=n;s.push(l)}}};var w=void 0;for(w=0;w<c&&t.length;w++){var T=[];for(var k=t.length;k--;){if(_utils2.default.isSystemOrDraft(t[k])){continue}var E=this.getEdges(t[k],s,l);for(var N in E){var A=d[E[N].type];if(y||p&&A.toArrow||h&&A.invertedArrow){m(E[N],\"to\",T)}}var I=b[this.getId(t[k])];if(!I){continue}for(var x=I.length;x--;){var j=d[I[x].type];if(y||h&&j.toArrow||p&&j.invertedArrow){m(I[x],\"from\",T)}}}t=T}var S={nodes:g,edges:f};$tm.logger(\"debug\",\"Retrieved neighbourhood\",S,\"steps\",w);$tm.stop(\"Get neighbours\");return S}},{key:\"getGraph\",value:function e(t){var i=t.view,r=t.matches,a=t.includeNeighboursOf;$tm.start(\"Assembling Graph\");i=new _ViewAbstraction2.default(i);r=r||_utils2.default.getMatches(i.getNodeFilter(\"compiled\"));var s=parseInt(i.getConfig(\"neighbourhood_scope\"));var l=i.getEdgeTypeFilter(\"whitelist\");var n=_utils2.default.getArrayValuesAsHashmapKeys(r);var d={edges:this.getEdgesForSet(r,n,l),nodes:this.selectNodesByReferences(r,{view:i,outputType:\"hashmap\"})};if(s){var o=a?r.filter(a):r;var u=this.getNeighbours(o,{steps:s,view:i,typeWL:l,addProperties:{type:\"tmap:neighbour\"}});Object.assign(d.nodes,u.nodes);Object.assign(d.edges,u.edges);if(i&&i.isEnabled(\"show_inter_neighbour_edges\")){var f=this.getTiddlersByIds(u.nodes);var g=_utils2.default.getArrayValuesAsHashmapKeys(f);Object.assign(d.edges,this.getEdgesForSet(f,g))}}this.attachStylesToNodes(d.nodes,i);$tm.stop(\"Assembling Graph\");$tm.logger(\"debug\",\"Assembled graph:\",d);return d}},{key:\"getEdges\",value:function e(t,i,r){var a=_utils2.default.getTiddler(t);if(!a||_utils2.default.isSystemOrDraft(a)){return}var s=this.indeces.allETy;var l=_utils2.default.makeHashMap();var n=this.edgeTypeSubscriberRegistry.getAll();for(var d=0,o=n.length;d<o;d++){Object.assign(l,n[d].loadEdges(a,i,r))}for(var u in l){var f=l[u];if(!f.from||!f.to){continue}var g=s[f.type]||_EdgeType2.default.getInstance(f.type);addStyleToEdge(l[u],g);l[u]=f}return l}},{key:\"getEdgesForSet\",value:function e(t,i,r){var a=_utils2.default.makeHashMap();for(var s=t.length;s--;){Object.assign(a,this.getEdges(t[s],i,r))}return a}},{key:\"selectEdgesByType\",value:function e(t){var i=_utils2.default.makeHashMap(_defineProperty({},_EdgeType2.default.getInstance(t).id,true));return this.getEdgesForSet(this.getAllPotentialNodes(),null,i)}},{key:\"getAllPotentialNodes\",value:function e(){return _utils2.default.getMatches($tm.selector.allPotentialNodes)}},{key:\"_processEdgesWithType\",value:function e(t,i){var r=i.action,a=i.newName;t=_EdgeType2.default.getInstance(t);$tm.logger(\"debug\",\"Processing edges\",t,r);var s=this.selectEdgesByType(t);if(r===\"rename\"){new _EdgeType2.default(a,t).save()}for(var l in s){this._processEdge(s[l],\"delete\");if(r===\"rename\"){s[l].type=a;this._processEdge(s[l],\"insert\")}}this.wiki.deleteTiddler(t.fullPath)}},{key:\"selectNodesByReferences\",value:function e(t){var i=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{},r=i.addProperties,a=i.outputType;var s=_utils2.default.makeHashMap();var l=Object.keys(t);for(var n=l.length;n--;){var d=this.makeNode(t[l[n]],r);if(d){s[d.id]=d}}return _utils2.default.convert(s,a)}},{key:\"selectNodesByIds\",value:function e(t,i){var r=this.getTiddlersByIds(t);return this.selectNodesByReferences(r,i)}},{key:\"selectNodeById\",value:function e(t,i){i=Object.assign({},i,{outputType:\"hashmap\"});var r=this.selectNodesByIds([t],i);return r[t]}},{key:\"removeNodeType\",value:function e(t){t=_NodeType2.default.getInstance(t);this.wiki.deleteTiddler(t.fullPath)}},{key:\"makeNode\",value:function e(t,i){var r=_utils2.default.getTiddler(t);if(!r||_utils2.default.isSystemOrDraft(r))return;var a=_utils2.default.merge({},i);a.id=this.assignId(r);a.tRef=r.fields.title;var s=r.fields[$tm.field.nodeLabel];a.label=(s&&$tm.field.nodeLabel!==\"title\"?this.wiki.renderText(\"text/plain\",\"text/vnd-tiddlywiki\",s):r.fields.title).replace(\"\\\\n\",\"\\n\");return a}},{key:\"getInheritedNodeStyles\",value:function e(t){var i=this.getTiddlersByIds(t);var r={};var a=this.indeces.glNTy;for(var s=a.length;s--;){var l=a[s];var n=[];if(l.id===\"tmap:neighbour\"){for(var d in t){if(t[d].type===\"tmap:neighbour\"){n.push(this.getTiddlerById(d))}}}else{n=l.getInheritors(i)}for(var o=n.length;o--;){var u=n[o];var f=r[u]=r[u]||{};f.style=_utils2.default.merge(f.style||{},l.style);if(l[\"fa-icon\"]){f[\"fa-icon\"]=l[\"fa-icon\"]}else if(l[\"tw-icon\"]){f[\"tw-icon\"]=l[\"tw-icon\"]}}}return r}},{key:\"attachStylesToNodes\",value:function e(t,i){i=_ViewAbstraction2.default.exists(i)?new _ViewAbstraction2.default(i):null;var r=this.getInheritedNodeStyles(t);var a=i?i.getNodeData():_utils2.default.makeHashMap();var s=i&&!i.isEnabled(\"physics_mode\");for(var l in t){var n=this.getTiddlerById(l);var d=this.wiki.getTiddler(n);var o=d.fields;var u=t[l];var f=void 0;var g=r[n];if(g){_utils2.default.merge(u,g.style);f=getIcon(g[\"fa-icon\"],g[\"tw-icon\"])}if(o.color){u.color=o.color}if(o[\"tmap.style\"]){_utils2.default.merge(u,_utils2.default.parseJSON(o[\"tmap.style\"]))}f=getIcon(o[\"tmap.fa-icon\"],o[\"icon\"])||f;var c=a[l];if(c){_utils2.default.merge(u,c);if(s){u.fixed={x:u.x!=null,y:u.y!=null}}f=getIcon(c[\"fa-icon\"],c[\"tw-icon\"])||f}var v=u.color!==null&&_typeof(u.color)===\"object\";var y=v?u.color.background:u.color;u.color={background:y,border:v?u.color.border:undefined};addNodeIcon(u,f);u.font=u.font||{};if(u.shape&&!this.visShapesWithTextInside[u.shape]){u.font.color=\"black\"}else if(!u.font.color&&y){u.font.color=(0,_contrastcolour.run)(y,y,\"black\",\"white\")}if(u.shape===\"icon\"&&_typeof(u.icon)===\"object\"){u.icon.color=y}}if(i){var h=t[i.getConfig(\"central-topic\")];if(h){_utils2.default.merge(h,this.indeces.glNTyById[\"tmap:central-topic\"].style)}}}},{key:\"deleteNode\",value:function e(t){if(!t){return}var i=(typeof t===\"undefined\"?\"undefined\":_typeof(t))===\"object\"?t.id:t;var r=this.getTiddlerById(i);if(r){_utils2.default.deleteTiddlers([r])}var a=_utils2.default.getMatches(env.selector.allViews);for(var s=a.length;s--;){var l=new _ViewAbstraction2.default(a[s]);l.removeNode(i)}var n=this.getNeighbours([r]);this.deleteEdges(n.edges)}},{key:\"deleteNodes\",value:function e(t){for(var i=t.length;i--;){this.deleteNode(t[i])}}},{key:\"insertNode\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};var i=arguments[1];var r=arguments[2];t.label=this.wiki.generateNewTitle(t.label||_utils2.default.getRandomLabel());var a=new $tw.Tiddler({text:\"\"},r,{title:t.label,\"tmap.id\":null},this.wiki.getModificationFields(),this.wiki.getCreationFields());this.wiki.addTiddler(a);t=this.makeNode(a,t);if(_ViewAbstraction2.default.exists(i)){new _ViewAbstraction2.default(i).addNode(t)}return t}},{key:\"getTiddlersByIds\",value:function e(t){if(Array.isArray(t)){t=_utils2.default.getArrayValuesAsHashmapKeys(t)}else if(t instanceof _vis2.default.DataSet){t=_utils2.default.getLookupTable(t,\"id\")}var i=[];for(var r in t){var a=this.getTiddlerById(r);if(a){i.push(a)}}return i}}]);return e}();var getFAdigits=function e(t){return t.length===4?t:t.substr(3,4)};var addNodeIcon=function e(t,i){if(!i){return}if(i.fa){t.shape=\"icon\";t.icon={shape:\"icon\",face:\"FontAwesome\",color:t.color,code:String.fromCharCode(\"0x\"+getFAdigits(i.fa))};if(t.size){t.icon.size=t.size}return}if(i.tw){var r=_utils2.default.getTiddler(i.tw);if(!r){return}if(r.fields[\"_canonical_uri\"]){t.image=r.fields[\"_canonical_uri\"];t.shape=\"image\"}else if(r.fields.text){t.image=_utils2.default.getDataUri(r);t.shape=\"image\"}}};var removeObsoleteViewData=function e(t,i){if(!_ViewAbstraction2.default.exists(i)||!t){return}i=new _ViewAbstraction2.default(i);var r=i.getNodeData();var a=0;for(var s in r){if(t[s]===undefined&&r[s]!=null){r[s]=undefined;a++}}if(a){$tm.logger(\"debug\",\"[Cleanup]\",\"Removed obsolete node data:\",i.getLabel(),a);i.saveNodeData(r)}};var addStyleToEdge=function e(t,i){t=Object.assign(t,i.style);if(_utils2.default.isTrue(i[\"show-label\"],true)){t.label=i.getLabel()}};var getIcon=function e(t,i){return t&&{fa:t}||i&&{tw:i}};exports.default=Adapter;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Adapter.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/CallbackManager": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/CallbackManager",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var a=0;a<t.length;a++){var l=t[a];l.enumerable=l.enumerable||false;l.configurable=true;if(\"value\"in l)l.writable=true;Object.defineProperty(e,l.key,l)}}return function(t,a,l){if(a)e(t.prototype,a);if(l)e(t,l);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/CallbackManager\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var CallbackManager=function(){function e(){_classCallCheck(this,e);this.callbacks=_utils2.default.makeHashMap();this.logger=$tm.logger;this.wiki=$tw.wiki}_createClass(e,[{key:\"add\",value:function e(t,a){var l=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;this.logger(\"debug\",'A callback was registered for changes of \"'+t+'\"');this.callbacks[t]={execute:a,isDeleteOnCall:l}}},{key:\"remove\",value:function e(t){if(!t){return}if(typeof t===\"string\"){t=[t]}for(var a=t.length;a--;){var l=t[a];if(this.callbacks[l]){this.logger(\"debug\",'Deleting callback for \"'+l+'\"');delete this.callbacks[l]}}}},{key:\"refresh\",value:function e(t){if(this.callbacks.length==0){return}for(var a in t){if(!this.callbacks[a]){continue}if(this.wiki.getTiddler(a)){this.logger(\"debug\",\"Executing a callback for: \"+a);this.callbacks[a].execute(a);if(!this.callbacks.isDeleteOnCall){continue}}this.remove(a)}}}]);return e}();exports.default=CallbackManager;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/CallbackManager.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/startup/caretaker": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/startup/caretaker",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.startup=exports.synchronous=exports.before=exports.after=exports.platforms=exports.name=undefined;var _rebuilders;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/startup/caretaker\ntype: application/javascript\nmodule-type: startup\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _vis=require(\"$:/plugins/felixhayashi/tiddlymap/js/config/vis\");var _vis2=_interopRequireDefault(_vis);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Fixer=require(\"$:/plugins/felixhayashi/tiddlymap/js/Fixer\");var _Fixer2=_interopRequireDefault(_Fixer);var _Adapter=require(\"$:/plugins/felixhayashi/tiddlymap/js/Adapter\");var _Adapter2=_interopRequireDefault(_Adapter);var _tracker=require(\"$:/plugins/felixhayashi/tiddlymap/js/services/tracker\");var _tracker2=_interopRequireDefault(_tracker);var _EdgeTypeSubscriberRegistry=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry\");var _EdgeTypeSubscriberRegistry2=_interopRequireDefault(_EdgeTypeSubscriberRegistry);var _DialogManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/DialogManager\");var _DialogManager2=_interopRequireDefault(_DialogManager);var _CallbackManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/CallbackManager\");var _CallbackManager2=_interopRequireDefault(_CallbackManager);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _vis3=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis4=_interopRequireDefault(_vis3);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);var _URL=require(\"$:/plugins/felixhayashi/tiddlymap/js/URL\");var _URL2=_interopRequireDefault(_URL);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _defineProperty(e,t,r){if(t in e){Object.defineProperty(e,t,{value:r,enumerable:true,configurable:true,writable:true})}else{e[t]=r}return e}var init=function e(){window.$tm=_extends({},env,{utils:_utils2.default,url:new _URL2.default(window.location.href)});cleanup();registerPublicClasses($tm);updateGlobals($tm);createMetaFile($tm.logger);var t=attachIndeces($tm);var r=getInitializedServices(t);Object.assign($tm,r);loadDefaultView($tm.config.sys.defaultView);r.fixer.fix();$tm.registry=[];setInterval(routineCheck,5e3);registerChangeListener($tm.callbackManager);registerMousemoveListener();registerClickListener();if($tm.url.query[\"tmap-enlarged\"]){prepareFullscreenStart($tm.url)}$tm.logger(\"warn\",\"TiddlyMap's caretaker successfully started\")};var getInitializedServices=function e(t){var r=new _tracker2.default(d);var i=$tw.modules.applyMethods(\"tmap.edgetypehandler\");var a=new _EdgeTypeSubscriberRegistry2.default(i,t.allETy,r);var s=new _Adapter2.default(r,a);var l=new _CallbackManager2.default;var n=new _DialogManager2.default(l);var d=new _Fixer2.default(s,$tm.logger,t.glNTy);return{edgeTypeSubscriberRegistry:a,tracker:r,adapter:s,callbackManager:l,dialogManager:n,fixer:d}};var registerPublicClasses=function e(t){t.keycharm=_vis4.default.keycharm;t.NodeType=_NodeType2.default;t.EdgeType=_EdgeType2.default;t.ViewAbstraction=_ViewAbstraction2.default};var attachOptions=function e(t){var r=t;if(!r.config)r.config=_utils2.default.makeHashMap();r.config.sys=_utils2.default.merge(r.config.sys,_utils2.default.unflatten($tw.wiki.getTiddlerData(env.ref.sysUserConf)));r.config.vis=_utils2.default.merge({},_vis2.default,_utils2.default.parseFieldData(env.ref.visUserConf));if(!r.field)r.field=_utils2.default.makeHashMap();$tw.utils.extend(r.field,r.config.sys.field)};var attachIndeces=function e(t){$tm.start(\"Attaching Indeces\");t.indeces=t.indeces||{};updateNodeTypesIndeces(t.indeces);updateEdgeTypesIndeces(t.indeces);$tm.stop(\"Attaching Indeces\");return t.indeces};var updateNodeTypesIndeces=function e(t){t=t||$tm.indeces;var r=$tm.path.nodeTypes;var i=t.glNTy=[];var a=t.glNTyById=_utils2.default.makeHashMap();$tw.wiki.eachTiddlerPlusShadows(function(e,t){if(_utils2.default.startsWith(t,r)){var s=_NodeType2.default.getInstance(t);a[s.id]=s;i.push(s)}});i.sort(function(e,t){return e.priority-t.priority})};var updateEdgeTypesIndeces=function e(t){t=t||$tm.indeces;var r=$tm.path.edgeTypes;var i=t.allETy=_utils2.default.makeHashMap();$tw.wiki.eachTiddlerPlusShadows(function(e,t){if(_utils2.default.startsWith(t,r)){var a=_EdgeType2.default.getInstance(t);i[a.id]=a}});if($tm.edgeTypeSubscriberRegistry){$tm.edgeTypeSubscriberRegistry.updateIndex(i)}};var attachFunctions=function e(t){var r=t;var i=function e(){};if(_utils2.default.isTrue($tm.config.sys.debug,false)&&console){r.logger=function(){if(arguments.length<2)return;var e=Array.prototype.slice.call(arguments);var t=e.shift(e);var r=console.hasOwnProperty(t)?t:\"debug\";console[r].apply(console,e)};r.start=function(e){console.time(\"[timer] \"+e)};r.stop=function(e){console.timeEnd(\"[timer] \"+e)}}else{r.logger=r.start=r.stop=i}r.notify=_utils2.default.isTrue($tm.config.sys.notifications)?_utils2.default.notify:i};var routineCheck=function e(){for(var t=$tm.registry.length;t--;){var r=$tm.registry[t];if(!r.destruct||!r.isZombieWidget)return;if(r.isZombieWidget()){$tm.logger(\"warn\",\"a widget will be removed\");$tm.registry.splice(t,1);r.destruct()}}};var dispatchUpdates=function e(t){var r=$tm.registry;for(var i=r.length;i--;){var a=r[i];if(a.update&&a.isZombieWidget&&!a.isZombieWidget()){a.update(t)}}};var checkForClone=function e(t){var r=_utils2.default.getDublicates(t);if(!r.length){return}_utils2.default.setField(t,\"tmap.edges\",undefined);$tm.tracker.assignId(t,true);$tm.dialogManager.open(\"dublicateIdInfo\",{param:{changedTiddler:t.fields.title,filter:_utils2.default.joinAndWrap(r,\"[[\",\"]]\"),id:_utils2.default.getId(t)}})};var updateGlobals=function e(t){attachOptions($tm);attachFunctions($tm);$tm.logger(\"warn\",\"Rebuilt globals\")};var lastCurrentTiddler=null;var updateLiveViewTrigger=function e(t){if(t[\"$:/HistoryList\"]){var r=_utils2.default.getField(\"$:/HistoryList\",\"current-tiddler\")}else if(t[\"$:/temp/focussedTiddler\"]){var r=_utils2.default.getField(\"$:/temp/focussedTiddler\",\"text\")}if(r!=null&&lastCurrentTiddler!==r){lastCurrentTiddler=r;_utils2.default.setField(\"$:/temp/tmap/currentTiddler\",\"text\",r)}};var printChanges=function e(t,r){if(!_utils2.default.isTrue($tm.config.sys.debug,false))return;$tm.logger(\"warn\",\"=== Refresh \"+r+\" ===\");for(var i in t){var a=t[i].deleted?\"[Deleted]\":\"[Modified]\";$tm.logger(\"warn\",a,i,$tw.wiki.getTiddler(i))}};var registerMousemoveListener=function e(){$tm.mouse={};var t=function e(t){$tm.mouse=t};window.addEventListener(\"mousemove\",t,false)};var registerClickListener=function e(){var t=$tm.path.tempPopups;window.addEventListener(\"click\",function(e){var r=_utils2.default.getTiddlersByPrefix(t);for(var i=r.length;i--;){if(_utils2.default.getText(r[i]))break}if(i===-1)return;if(!$tw.utils.hasClass(e.target,\"tc-drop-down\")&&!_utils2.default.getAncestorWithClass(e.target,\"tc-drop-down\")){for(var i=r.length;i--;){_utils2.default.setText(r[i],\"\")}}},false)};var registerChangeListener=function e(t){var r=0;$tw.wiki.addEventListener(\"change\",function(e){$tm.start(\"Caretaker handling changes\");printChanges(e,r++);t.refresh(e);var i={changedTiddlers:{}};for(var a in e){var s=_utils2.default.getTiddler(a);if(s&&s.isDraft()){continue}var l=handleTiddlerChange(a,s,i);if(l){i.changedTiddlers[a]=e[a]}}dispatchUpdates(i);updateLiveViewTrigger(e);$tm.stop(\"Caretaker handling changes\")})};var rebuilders=(_rebuilders={},_defineProperty(_rebuilders,env.path.options,updateGlobals),_defineProperty(_rebuilders,env.path.nodeTypes,updateNodeTypesIndeces),_defineProperty(_rebuilders,env.path.edgeTypes,updateEdgeTypesIndeces),_rebuilders);var handleTiddlerChange=function e(t,r,i){if($tw.wiki.isSystemTiddler(t)){for(var a in rebuilders){if(_utils2.default.startsWith(t,a)&&!i[a]){$tm.logger(\"warn\",\"[System change]\",a);rebuilders[a]();i[a]=true}}}else if(r){if(r.fields.text===undefined){$tw.wiki.dispatchEvent(\"lazyLoad\",t);return false}checkForClone(r);$tm.tracker.assignId(r)}else{var s=$tm.tracker.getIdByTiddler(t);if(!s){return false}var l=_utils2.default.getTiddlerWithField(\"tmap.id\",s);if(l){$tm.logger(\"warn\",\"[Renamed]\",t,\"into\",l)}else{$tm.adapter.deleteNode(s)}}return true};var cleanup=function e(){_utils2.default.deleteByPrefix(\"$:/temp/felixhayashi\");_utils2.default.deleteByPrefix(\"$:/temp/tiddlymap\");_utils2.default.deleteByPrefix(\"$:/temp/tmap\")};var loadDefaultView=function e(t){if(t){_utils2.default.setText(env.ref.defaultViewHolder,$tm.config.sys.defaultView)}};var prepareFullscreenStart=function e(t){var r=env.ref,i=r.mainEditor,a=r.defaultViewHolder;_utils2.default.setSidebarTab(i);if(_ViewAbstraction2.default.exists(t)){t=new _ViewAbstraction2.default(t);_utils2.default.setField(a,\"text\",t.getLabel())}};var createMetaFile=function e(t){if(_utils2.default.tiddlerExists(env.ref.sysMeta)){return}t(\"warn\",\"Creating meta file\");var r=$tw.wiki.getTiddler(env.path.pluginRoot);$tw.wiki.setTiddlerData(env.ref.sysMeta,{originalVersion:r.fields.version,dataStructureState:\"0.6.9\",showWelcomeMessage:true})};var name=exports.name=\"tmap.caretaker\";var platforms=exports.platforms=[\"browser\"];var after=exports.after=[\"startup\"];var before=exports.before=[\"rootwidget\"];var synchronous=exports.synchronous=true;var startup=exports.startup=init;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Caretaker.js.map\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/plugins/felixhayashi/tiddlymap/js/DialogManager": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/DialogManager",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var a=0;a<t.length;a++){var l=t[a];l.enumerable=l.enumerable||false;l.configurable=true;if(\"value\"in l)l.writable=true;Object.defineProperty(e,l.key,l)}}return function(t,a,l){if(a)e(t.prototype,a);if(l)e(t,l);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/DialogManager\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _CallbackManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/CallbackManager\");var _CallbackManager2=_interopRequireDefault(_CallbackManager);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var DialogManager=function(){function e(t,a){_classCallCheck(this,e);this.callbackManager=t;this.context=a}_createClass(e,[{key:\"open\",value:function t(a){var l=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var i=arguments[2];if(_utils2.default.isTrue($tm.config.sys.suppressedDialogs[a],false)){$tm.logger(\"warning\",\"Suppressed dialog\",a);return}$tm.logger(\"debug\",\"Dialog param object\",l);if(typeof i===\"function\"&&this.context){i=i.bind(this.context)}var r=$tm.path.tempRoot+\"/dialog-\"+_utils2.default.genUUID();var n=_utils2.default.getTiddler($tm.path.dialogs+\"/\"+a);var u={title:r,buttons:n.fields[\"buttons\"]||\"ok_cancel\",classes:\"tmap-modal-content \"+n.fields[\"classes\"],output:r+\"/output\",result:r+\"/result\",temp:r+\"/temp\",template:n.fields.title,templateId:a,currentTiddler:r+\"/output\",text:_utils2.default.getText($tm.path.dialogs)};_utils2.default.touch(u.output);if(l.dialog){if(l.dialog.preselects){$tw.wiki.addTiddler(new $tw.Tiddler({title:u.output},_utils2.default.flatten(l.dialog.preselects)));delete l.dialog.preselects}_utils2.default.merge(u,l.dialog)}u.footer=_utils2.default.getText($tm.path.footers);u=_utils2.default.flatten(u);l=_utils2.default.flatten(l);var s=function t(a){e.getElement(\"hidden-close-button\").click();var l=$tw.wiki.getTiddler(a);var n=l.fields.text;var s=null;if(n){s=$tw.wiki.getTiddler(u.output)}else{$tm.notify(\"operation cancelled\")}if(typeof i===\"function\"){i(n,s)}_utils2.default.deleteByPrefix(r)};this.callbackManager.add(u.result,s,true);var o=new $tw.Tiddler(n,l,u);$tw.wiki.addTiddler(o);$tm.logger(\"debug\",\"Opening dialog\",o);$tw.rootWidget.dispatchEvent({type:\"tm-modal\",param:o.fields.title,paramObject:o.fields});e.addKeyBindings();return o}}],[{key:\"getElement\",value:function e(t){return _utils2.default.getFirstElementByClassName(\"tmap-\"+t)}},{key:\"addKeyBindings\",value:function t(){var a=$tm.keycharm({container:_utils2.default.getFirstElementByClassName(\"tc-modal\")});var l=/tmap-triggers-(.+?)-on-(.+?)(?:\\s|$)/;var i=document.getElementsByClassName(\"tmap-trigger-field\");var r=function t(r){var n=i[r].className.split(\" \");var u=function t(i){var r=n[i].match(l);if(!r){return\"continue\"}var u=r[1];var s=r[2];var o=e.getElement(u);if(!o){return\"continue\"}a.bind(s,function(){if(document.getElementsByClassName(n[i]).length){o.click()}})};for(var s=n.length;s--;){var o=u(s);if(o===\"continue\")continue}};for(var n=i.length;n--;){r(n)}}}]);return e}();exports.default=DialogManager;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/DialogManager.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/Fixer": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/Fixer",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Fixer\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var Fixer=function(){function e(t,i,r){_classCallCheck(this,e);this.adapter=t;this.logger=i;this.wiki=$tw.wiki;this.glNTy=r}_createClass(e,[{key:\"moveEdges\",value:function e(t,i){var r=_utils2.default.getTiddlersByPrefix(t);for(var a=0;a<r.length;a++){var u=_utils2.default.getBasename(r[a]);if(u===\"__noname__\"){u=\"tmap:unknown\"}u=_EdgeType2.default.getInstance(u);if(!u.exists()){u.save()}var n=this.wiki.getTiddlerData(r[a]);for(var s=0;s<n.length;s++){n[s].type=(i?i+\":\":\"\")+u.id;this.adapter.insertEdge(n[s])}this.wiki.deleteTiddler(r[a])}}},{key:\"executeUpgrade\",value:function e(t,i,r){if(!_utils2.default.isLeftVersionGreater(t,i)){return}this.logger(\"debug\",\"Upgrading data structure to \"+t);var a=r();_utils2.default.setEntry(env.ref.sysMeta,\"dataStructureState\",t);return a}},{key:\"fixId\",value:function e(){var t=this.wiki.getTiddlerData(env.ref.sysMeta,{});this.executeUpgrade(\"0.9.2\",t.dataStructureState,function(){if(_utils2.default.isLeftVersionGreater(\"0.9.2\",t.originalVersion)){var e=\"$:/plugins/felixhayashi/tiddlymap/config/sys/user\";var i=_utils2.default.getEntry(e,\"field.nodeId\",\"tmap.id\");_utils2.default.moveFieldValues(i,\"tmap.id\",true,false)}})}},{key:\"fix\",value:function e(){var t=this;var i=this.wiki.getTiddlerData(env.ref.sysMeta,{});this.logger(\"debug\",\"Fixer is started\");this.logger(\"debug\",\"Data-structure currently in use: \",i.dataStructureState);this.executeUpgrade(\"0.7.0\",i.dataStructureState,function(){t.moveEdges(\"$:/plugins/felixhayashi/tiddlymap/graph/edges\",null);var e=env.selector.allViews;var i=_utils2.default.getMatches(e);for(var r=0;r<i.length;r++){var a=new _ViewAbstraction2.default(i[r]);t.moveEdges(a.getRoot()+\"/graph/edges\",a)}});this.executeUpgrade(\"0.7.32\",i.dataStructureState,function(){if(!_ViewAbstraction2.default.exists(\"Live View\")){return}var e=new _ViewAbstraction2.default(\"Live View\");e.setNodeFilter(\"[field:title{$:/temp/tmap/currentTiddler}]\",true);e.setConfig({\"refresh-trigger\":null,\"refresh-triggers\":$tw.utils.stringifyList([\"$:/temp/tmap/currentTiddler\"])})});this.executeUpgrade(\"0.9.0\",i.dataStructureState,function(){var e=env.ref.visUserConf;var i=_utils2.default.unflatten(t.wiki.getTiddlerData(e,{}));if(_typeof(i.groups)===\"object\"){var r=_NodeType2.default.getInstance(\"tmap:neighbour\");r.setStyle(i.groups[\"neighbours\"]);r.save();delete i.groups;t.wiki.setTiddlerData(e,i)}});this.fixId();this.executeUpgrade(\"0.9.16\",i.dataStructureState,function(){for(var e=t.glNTy.length;e--;){t.glNTy[e].save(null,true)}});this.executeUpgrade(\"0.10.3\",i.dataStructureState,function(){var e=env.ref.liveTab;if(_utils2.default.getTiddler(e).hasTag(\"$:/tags/SideBar\")){this.wiki.deleteTiddler(e);_utils2.default.setField(e,\"tags\",\"$:/tags/SideBar\")}});this.executeUpgrade(\"0.11.0\",i.dataStructureState,function(){var e=_utils2.default.getMatches(env.selector.allViews);for(var t=e.length;t--;){var i=new _ViewAbstraction2.default(e[t]);var r=i.getEdgeTypeFilter(\"raw\");var a=\"edge_type_namespace\";i.setConfig(a,i.getConfig(a));var u=env.filter.defaultEdgeTypeFilter;if(r){var n=env.path.edgeTypes;r=_utils2.default.replaceAll(r,\"\",[n,n+\"/\",\"[prefix[\"+n+\"]]\",\"[prefix[\"+n+\"/]]\",[\"[suffix[tw-body:link]]\",\"[[tw-body:link]]\"],[\"[suffix[tw-list:tags]]\",\"[[tw-list:tags]]\"],[\"[suffix[tw-list:list]]\",\"[[tw-body:list]]\"],[\"[suffix[tmap:unknown]]\",\"[[tmap:unknown]]\"],[\"[suffix[unknown]]\",\"[[tmap:unknown]]\"]]);u=\"-[prefix[_]] \"+r}i.setEdgeTypeFilter(u)}})}}]);return e}();exports.default=Fixer;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Fixer.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/startup/listener": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/startup/listener",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.startup=exports.synchronous=exports.before=exports.after=exports.platforms=exports.name=undefined;var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _vis=require(\"$:/plugins/felixhayashi/tiddlymap/js/config/vis\");var _vis2=_interopRequireDefault(_vis);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}var handleCancelDialog=function e(t){var a=t.param;_utils2.default.setField(a,\"text\",\"\")};\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/startup/listener\ntype: application/javascript\nmodule-type: startup\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var handleClearTiddler=function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{},a=t.paramObject;var r=a.title,d=a.keep;if(!r)return;var i=_utils2.default.getTiddler(r);var l=i?i.fields:{};var s=d?d.split():[];var n={title:r,text:\"\"};for(var p=s.length;p--;){var o=s[p];n[o]=l[o]}$tw.wiki.deleteTiddler(r);$tw.wiki.addTiddler(new $tw.Tiddler(n))};var handleMixTiddlers=function e(t){var a=t.paramObject,r=a===undefined?{}:a;var d=r.tiddlers,i=r.output;if(!d||!i)return;var l=$tw.utils.parseStringArray(d);var s=_utils2.default.getMergedTiddlers(l,i);$tw.wiki.addTiddler(s)};var handleConfirmDialog=function e(t){var a=t.param;_utils2.default.setField(a,\"text\",\"1\")};var handleSuppressDialog=function e(t){var a=t.paramObject;var r=a.dialog,d=a.suppress;if(_utils2.default.isTrue(d,false)){_utils2.default.setEntry($tm.ref.sysUserConf,\"suppressedDialogs.\"+r,true)}};var handleDownloadGraph=function e(t){var a=t.paramObject;var r=a.view;var d=$tm.adapter.getGraph({view:r});d.nodes=_utils2.default.convert(d.nodes,\"array\");d.edges=_utils2.default.convert(d.edges,\"array\");var i=\"$:/temp/tmap/export\";_utils2.default.setField(i,\"text\",JSON.stringify(d,null,2));$tw.rootWidget.dispatchEvent({type:\"tm-download-file\",param:i,paramObject:{filename:r+\".json\"}})};var handleConfigureSystem=function e(){var t=_utils2.default.getMatches($tm.selector.allPotentialNodes);var a=$tm.adapter.getEdgesForSet(t);var r=$tw.wiki.getTiddler($tm.path.pluginRoot).fields;var d=$tw.wiki.getTiddlerData($tm.ref.sysMeta);var i=_utils2.default.getTiddler($tm.ref.liveTab).hasTag(\"$:/tags/SideBar\");var l={numberOfNodes:\"\"+t.length,numberOfEdges:\"\"+Object.keys(a).length,pluginVersion:\"v\"+r.version,dataStructureVersion:\"v\"+d.dataStructureState,dialog:{preselects:{liveTab:\"\"+i,\"inherited-style\":JSON.stringify(_vis2.default),\"config.vis\":_utils2.default.getText($tm.ref.visUserConf),\"config.sys\":$tm.config.sys}}};$tm.dialogManager.open(\"globalConfig\",l,function(e,t){if(!e)return;var a=_utils2.default.getPropertiesByPrefix(t.fields,\"config.sys.\",true);$tw.wiki.setTiddlerData($tm.ref.sysUserConf,a);if(_utils2.default.isTrue(t.fields.liveTab,false)){_utils2.default.setField($tm.ref.liveTab,\"tags\",\"$:/tags/SideBar\")}else{$tw.wiki.deleteTiddler($tm.ref.liveTab)}_utils2.default.setField($tm.ref.visUserConf,\"text\",t.fields[\"config.vis\"])})};var handleGenerateWidget=function e(t){var a=t.paramObject,r=a===undefined?{}:a;var d={dialog:{preselects:{\"var.view\":r.view||$tm.misc.defaultViewLabel}}};$tm.dialogManager.open(\"widgetCodeGenerator\",d)};var handleRemoveEdge=function e(t){var a=t.paramObject;$tm.adapter.deleteEdge(a)};var handleCreateEdge=function e(t){var a=t.paramObject;var r=a.from,d=a.to,i=a.force;if(!r||!d)return;if(_utils2.default.tiddlerExists(r)&&_utils2.default.tiddlerExists(d)||i){_utils2.default.addTiddler(d);_utils2.default.addTiddler(r);var l=new _Edge2.default($tm.adapter.makeNode(r).id,$tm.adapter.makeNode(d).id,a.label,a.id);$tm.adapter.insertEdge(l);$tm.notify(\"Edge inserted\")}};var handleOpenTypeManager=function e(t){var a=t.type,r=t.paramObject,d=r===undefined?{}:r;var i=a.match(/tmap:tm-(.*)/)[1];if(i===\"manage-edge-types\"){var l=\"Edge-Type Manager\";var s=$tm.selector.allEdgeTypes;var n=$tm.path.edgeTypes}else{var l=\"Node-Type Manager\";var s=$tm.selector.allNodeTypes;var n=$tm.path.nodeTypes}var p={mode:i,topic:l,searchSelector:s,typeRootPath:n};var o=$tm.dialogManager.open(\"MapElementTypeManager\",p);if(d.type){handleLoadTypeForm({paramObject:{mode:i,id:d.type,output:o.fields[\"output\"]}})}};var handleLoadTypeForm=function e(t){var a=t.paramObject,r=a.mode,d=a.id,i=a.output;var l=i;var s=r===\"manage-edge-types\"?_EdgeType2.default.getInstance(d):_NodeType2.default.getInstance(d);s.save(l,true);if(r===\"manage-edge-types\"){var n=$tm.adapter.selectEdgesByType(s);var p=Object.keys(n).length;_utils2.default.setField(l,\"temp.usageCount\",p)}$tw.wiki.addTiddler(new $tw.Tiddler(_utils2.default.getTiddler(l),{typeTRef:s.fullPath,\"temp.idImmutable\":s.isShipped?\"true\":\"\",\"temp.newId\":s.id,\"inherited-style\":JSON.stringify((r===\"manage-edge-types\"?$tm.config.vis.edges:$tm.config.vis.nodes)||{})}));_utils2.default.deleteByPrefix(\"$:/state/tabs/MapElementTypeManager\")};var handleSaveTypeForm=function e(t){var a=t.paramObject;var r=_utils2.default.getTiddler(a.output);if(!r)return;var d=r.fields.id;var i=a.mode;if(_utils2.default.isTrue(r.fields[\"temp.deleteType\"],false)){deleteType(i,d,r)}else{saveType(i,d,r)}};var deleteType=function e(t,a,r){var d=t===\"manage-edge-types\"?_EdgeType2.default.getInstance(a):_NodeType2.default.getInstance(a);$tm.logger(\"debug\",\"Deleting type\",d);if(t===\"manage-edge-types\"){$tm.adapter._processEdgesWithType(d,{action:\"delete\"})}else{$tm.adapter.removeNodeType(d)}$tw.wiki.addTiddler(new $tw.Tiddler({title:_utils2.default.getTiddlerRef(r)}));$tm.notify(\"Deleted type\")};var saveType=function e(t,a,r){var d=_utils2.default.getTiddler(r);var i=t===\"manage-edge-types\"?_EdgeType2.default:_NodeType2.default;var l=new i(a,d);l.save();var s=d.fields[\"temp.newId\"];if(s&&s!==d.fields[\"id\"]){if(t===\"manage-edge-types\"){$tm.adapter._processEdgesWithType(l,{action:\"rename\",newName:s})}else{new _NodeType2.default(s,l).save();$tw.wiki.deleteTiddler(l.fullPath)}_utils2.default.setField(d,\"id\",s)}$tm.notify(\"Saved type data\")};var handleCreateType=function e(t){var a=t.paramObject,r=a.mode,d=a.id,i=d===undefined?\"New type\":d,l=a.output;var s=r===\"manage-edge-types\"?new _EdgeType2.default(i):new _NodeType2.default(i);s.save();handleLoadTypeForm({paramObject:{id:s.id,mode:r,output:l}})};var name=exports.name=\"tmap.listener\";var platforms=exports.platforms=[\"browser\"];var after=exports.after=[\"rootwidget\",\"tmap.caretaker\"];var before=exports.before=[\"story\"];var synchronous=exports.synchronous=true;var startup=exports.startup=function e(){_utils2.default.addTWlisteners({\"tmap:tm-remove-edge\":handleRemoveEdge,\"tmap:tm-load-type-form\":handleLoadTypeForm,\"tmap:tm-save-type-form\":handleSaveTypeForm,\"tmap:tm-create-type\":handleCreateType,\"tmap:tm-create-edge\":handleCreateEdge,\"tmap:tm-suppress-dialog\":handleSuppressDialog,\"tmap:tm-generate-widget\":handleGenerateWidget,\"tmap:tm-download-graph\":handleDownloadGraph,\"tmap:tm-configure-system\":handleConfigureSystem,\"tmap:tm-manage-edge-types\":handleOpenTypeManager,\"tmap:tm-manage-node-types\":handleOpenTypeManager,\"tmap:tm-cancel-dialog\":handleCancelDialog,\"tmap:tm-clear-tiddler\":handleClearTiddler,\"tmap:tm-merge-tiddlers\":handleMixTiddlers,\"tmap:tm-confirm-dialog\":handleConfirmDialog},$tw.rootWidget,undefined)};\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Listener.js.map\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/plugins/felixhayashi/tiddlymap/js/services/tracker": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/services/tracker",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/services/tracker\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var Tracker=function(){function e(t){_classCallCheck(this,e);this.wiki=$tw.wiki;this.logger=$tm.logger;this._createIndex()}_createClass(e,[{key:\"_createIndex\",value:function e(){var t=this.tById={};var i=this.idByT={};this.wiki.each(function(e,r){if(_utils2.default.isSystemOrDraft(e)){return}var l=e.fields[\"tmap.id\"];if(!l){l=_utils2.default.genUUID();_utils2.default.setField(e,\"tmap.id\",l)}t[l]=r;i[r]=l})}},{key:\"assignId\",value:function e(t,i){var r=_utils2.default.getTiddler(t);if(!r){throw new ResourceNotFoundException(t)}var l=r.fields[\"tmap.id\"];if(!l||i){l=_utils2.default.genUUID();_utils2.default.setField(r,\"tmap.id\",l);this.logger(\"info\",\"Assigning new id to\",r.fields.title)}this.tById[l]=r.fields.title;this.idByT[r.fields.title]=l;return l}},{key:\"getIdByTiddler\",value:function e(t){return this.idByT[_utils2.default.getTiddlerRef(t)]}},{key:\"getIdsByTiddlers\",value:function e(){return this.idByT}},{key:\"getTiddlersByIds\",value:function e(){return this.tById}},{key:\"getTiddlerById\",value:function e(t){return this.tById[t]}}]);return e}();exports.default=Tracker;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Tracker.js.map\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/tiddlymap/js/widget/MapConfigWidget": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/widget/MapConfigWidget",
"text": "\"use strict\";var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/MapConfigWidget\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _widget=require(\"$:/core/modules/widgets/widget.js\");function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function MapConfigWidget(e,t){_widget.widget.call(this);this.initialise(e,t);this.computeAttributes()}MapConfigWidget.prototype=Object.create(_widget.widget.prototype);MapConfigWidget.prototype.render=function(e,t){this.parentDomNode=e;if(!this.domNode){this.domNode=this.document.createElement(\"div\");$tw.utils.addClass(this.domNode,\"tmap-config-widget\");e.insertBefore(this.domNode,t)}if(this.network){this.network.destroy()}this.networkContainer=document.createElement(\"div\");this.domNode.appendChild(this.networkContainer);this.refreshTrigger=this.getAttribute(\"refresh-trigger\");this.pipeTRef=this.getVariable(\"currentTiddler\");this.inheritedFields=$tw.utils.parseStringArray(this.getAttribute(\"inherited\"));this.extensionTField=this.getAttribute(\"extension\");this.mode=this.getAttribute(\"mode\");for(var i=0;i<this.inheritedFields.length;i++){var s=this.inheritedFields[i];var n=_utils2.default.parseFieldData(this.pipeTRef,s,{});if(this.mode===\"manage-edge-types\"){n={edges:n}}else if(this.mode===\"manage-node-types\"){n={nodes:n}}this.inherited=_utils2.default.merge(this.inherited,n)}this.extension=_utils2.default.parseFieldData(this.pipeTRef,this.extensionTField,{});if(this.mode===\"manage-edge-types\"){if(!this.extension.edges){this.extension={edges:this.extension}}}else if(this.mode===\"manage-node-types\"){if(!this.extension.nodes){this.extension={nodes:this.extension}}}var r=_utils2.default.isTrue(this.getAttribute(\"save-only-changes\"));this.changes=r?{}:this.extension;var o={nodes:[],edges:[]};var a=_utils2.default.merge({},this.inherited,this.extension);$tw.utils.extend(a,{configure:{enabled:true,showButton:false,filter:this.getOptionFilter(this.mode)}});this.network=new _vis2.default.Network(this.networkContainer,o,a);this.network.on(\"configChange\",this.handleConfigChange.bind(this));var l=this.parentDomNode.getBoundingClientRect().height;this.parentDomNode.style[\"height\"]=l+\"px\";var h=this.handleResetEvent.bind(this);this.networkContainer.addEventListener(\"reset\",h,false);$tm.registry.push(this);this.enhanceConfigurator()};MapConfigWidget.prototype.handleResetEvent=function(e){var t={};t[e.detail.trigger.path]=null;this.handleConfigChange(t)};MapConfigWidget.prototype.handleConfigChange=function(e){var t=_utils2.default.flatten(this.changes);var i=_utils2.default.flatten(e);var s=Object.keys(_utils2.default.flatten(e))[0];var n=i[s]===null;if(n){t[s]=undefined;this.changes=_utils2.default.unflatten(t)}else{this.changes=_utils2.default.merge(this.changes,e)}var r=_utils2.default.merge({},this.changes);if(this.mode===\"manage-node-types\"){r=r[\"nodes\"]}if(this.mode===\"manage-edge-types\"){r=r[\"edges\"]}_utils2.default.writeFieldData(this.pipeTRef,this.extensionTField,r,$tm.config.sys.jsonIndentation);var o=\"vis-configuration-wrapper\";var a=this.networkContainer.getElementsByClassName(o)[0];a.style.height=a.getBoundingClientRect().height+\"px\";if(n){window.setTimeout(this.refresh.bind(this),0)}else{window.setTimeout(this.enhanceConfigurator.bind(this),50)}};MapConfigWidget.prototype.enhanceConfigurator=function(){var e=\"vis-configuration-wrapper\";var t=this.networkContainer.getElementsByClassName(e)[0].children;var i=[];var s=_utils2.default.flatten(this.changes);for(var n=0;n<t.length;n++){if(!t[n].classList.contains(\"vis-config-item\"))continue;var r=new VisConfElement(t[n],i,n);i.push(r);if(r.level===0)continue;r.setActive(!!s[r.path])}};function VisConfElement(e,t,i){var s=\"getElementsByClassName\";this.el=e;this.labelEl=e[s](\"vis-config-label\")[0]||e[s](\"vis-config-header\")[0]||e;var n=this.labelEl.innerText||this.labelEl.textContent;this.label=n&&n.match(/([a-zA-Z0-9]+)/)[1];this.level=parseInt(e.className.match(/.*vis-config-s(.).*/)[1])||0;this.path=this.label;if(this.level>0){for(var r=i;r--;){var o=t[r];if(o.level<this.level){this.path=o.path+\".\"+this.path;break}}}}VisConfElement.prototype.setActive=function(e){if(!e)return;var t=\"tmap-vis-config-item-\"+(e?\"active\":\"inactive\");$tw.utils.addClass(this.el,t);if(e){var i=document.createElement(\"button\");i.innerHTML=\"reset\";i.className=\"tmap-config-item-reset\";var s=this;i.addEventListener(\"click\",function(e){e.currentTarget.dispatchEvent(new CustomEvent(\"reset\",{detail:{trigger:s},bubbles:true,cancelable:true}))},false);this.el.appendChild(i)}};MapConfigWidget.prototype.getOptionFilter=function(e){var t={nodes:{borderWidth:true,borderWidthSelected:true,color:{background:true,border:true},font:{color:true,size:true},icon:true,labelHighlightBold:false,shadow:true,shape:true,shapeProperties:{borderDashes:true},size:true},edges:{arrows:true,color:true,dashes:true,font:true,labelHighlightBold:false,length:true,selfReferenceSize:false,shadow:true,smooth:true,width:true},interaction:{hideEdgesOnDrag:true,hideNodesOnDrag:true,tooltipDelay:true},layout:{hierarchical:true},manipulation:{initiallyActive:true},physics:{forceAtlas2Based:{gravitationalConstant:true,springLength:true,springConstant:true,damping:true,centralGravity:true}}};if(e===\"manage-edge-types\"){t={edges:t.edges}}else if(e===\"manage-node-types\"){t={nodes:t.nodes}}else{t.edges.arrows=false}return function(e,i){i=i.concat([e]);var s=t;for(var n=0,r=i.length;n<r;n++){if(s[i[n]]===true){return true}else if(s[i[n]]==null){return false}s=s[i[n]]}return false}};MapConfigWidget.prototype.isZombieWidget=function(){return!document.body.contains(this.parentDomNode)};MapConfigWidget.prototype.destruct=function(){if(this.network){this.network.destroy()}};MapConfigWidget.prototype.refresh=function(e){if(this.isZombieWidget()||!this.network)return;if(!e||e[this.refreshTrigger]){this.refreshSelf();return true}};MapConfigWidget.prototype.setNull=function(e){for(var t in e){if(_typeof(e[t])==\"object\"){this.setNull(e[t])}else{e[t]=undefined}}};exports[\"tmap-config\"]=MapConfigWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/ConfigurationWidget.js.map\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidgetItem": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidgetItem",
"text": "\"use strict\";var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _widget=require(\"$:/core/modules/widgets/widget.js\");var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidgetItem\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeListItemWidget=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);var i=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,r));i.arrows=$tm.misc.arrows;return i}_createClass(t,[{key:\"execute\",value:function e(){var t=this.parseTreeNode;var r=$tm.tracker.getTiddlerById(t.neighbour.id);var i=_utils2.default.flatten(t.edge);for(var o in i){if(typeof i[o]===\"string\"){this.setVariable(\"edge.\"+o,i[o])}}this.setVariable(\"currentTiddler\",r);this.setVariable(\"neighbour\",r);var n=$tm.indeces.allETy[i.type];var s=i.to===t.neighbour.id?\"to\":\"from\";var a=s;if(n.biArrow){a=\"bi\"}else{if(s===\"to\"&&n.invertedArrow){a=\"from\"}else if(s===\"from\"&&n.invertedArrow){a=\"to\"}}this.setVariable(\"direction\",a);this.setVariable(\"directionSymbol\",a===\"bi\"?this.arrows.bi:a===\"from\"?this.arrows.in:this.arrows.out);this.makeChildWidgets()}},{key:\"refresh\",value:function e(t){return this.refreshChildren(t)}}]);return t}(_widget.widget);exports[\"tmap-edgelistitem\"]=EdgeListItemWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/EdgeListItemWidget.js.map\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidget": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidget",
"text": "\"use strict\";var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _widget=require(\"$:/core/modules/widgets/widget.js\");var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidget\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeListWidget=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,r))}_createClass(t,[{key:\"render\",value:function e(t,r){this.parentDomNode=t;this.computeAttributes();this.execute();this.renderChildren(t,r)}},{key:\"execute\",value:function e(){var t=[this.getVariable(\"currentTiddler\")];var r=this.getAttribute(\"filter\",\"\");var i=this.getAttribute(\"direction\",\"both\");var s=$tm.indeces.allETy;var n=_utils2.default.getEdgeTypeMatches(r,s);var u={typeWL:_utils2.default.getLookupTable(n),direction:i};var o=$tm.adapter.getNeighbours(t,u),a=o.nodes,l=o.edges;var f=[];for(var c in l){var h=l[c];var p=a[h.to]||a[h.from];if(!p){continue}f.push({type:\"tmap-edgelistitem\",edge:h,typeWL:u.typeWL,neighbour:p,children:this.parseTreeNode.children})}if(!f.length){this.wasEmpty=true;f=this.getEmptyMessage()}else if(this.wasEmpty){this.removeChildDomNodes()}this.makeChildWidgets(f)}},{key:\"getEmptyMessage\",value:function e(){var t=this.wiki.parseText(\"text/vnd.tiddlywiki\",this.getAttribute(\"emptyMessage\",\"\"),{parseAsInline:true});return t?t.tree:[]}},{key:\"refresh\",value:function e(t){var r=this.computeAttributes();if(_utils2.default.hasElements(r)){this.refreshSelf();return true}for(var i in t){if(!_utils2.default.isSystemOrDraft(i)){this.refreshSelf();return true}}return this.refreshChildren(t)}}]);return t}(_widget.widget);exports[\"tmap-connections\"]=EdgeListWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/EdgeListWidget.js.map\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/felixhayashi/tiddlymap/js/widget/MapWidget": {
"title": "$:/plugins/felixhayashi/tiddlymap/js/widget/MapWidget",
"text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.tiddlymap=exports.tmap=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var i=arguments[t];for(var a in i){if(Object.prototype.hasOwnProperty.call(i,a)){e[a]=i[a]}}}return e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var a=t[i];a.enumerable=a.enumerable||false;a.configurable=true;if(\"value\"in a)a.writable=true;Object.defineProperty(e,a.key,a)}}return function(t,i,a){if(i)e(t.prototype,i);if(a)e(t,a);return t}}();var _CallbackManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/CallbackManager\");var _CallbackManager2=_interopRequireDefault(_CallbackManager);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _Popup=require(\"$:/plugins/felixhayashi/tiddlymap/js/Popup\");var _Popup2=_interopRequireDefault(_Popup);var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _widget=require(\"$:/core/modules/widgets/widget.js\");var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _SelectionRectangle=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle\");var _SelectionRectangle2=_interopRequireDefault(_SelectionRectangle);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _defineProperty(e,t,i){if(t in e){Object.defineProperty(e,t,{value:i,enumerable:true,configurable:true,writable:true})}else{e[t]=i}return e}function _toConsumableArray(e){if(Array.isArray(e)){for(var t=0,i=Array(e.length);t<e.length;t++){i[t]=e[t]}return i}else{return Array.from(e)}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/MapWidget\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var MapWidget=function(e){_inherits(t,e);function t(e,i){_classCallCheck(this,t);var a=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,i));a.getAttr=a.getAttribute;a.isDebug=_utils2.default.isTrue($tm.config.sys.debug,false);_utils2.default.bindTo(a,[\"constructTooltip\",\"handleResizeEvent\",\"handleClickEvent\",\"handleCanvasKeyup\",\"handleCanvasKeydown\",\"handleCanvasScroll\",\"handleCanvasMouseMove\",\"handleWidgetKeyup\",\"handleWidgetKeydown\",\"handleTriggeredRefresh\",\"handleContextMenu\"]);a.callbackManager=new _CallbackManager2.default;a.computeAttributes();a.editorMode=a.getAttr(\"editor\");a.clickToUse=_utils2.default.isTrue(a.getAttr(\"click-to-use\"),false);a.id=a.getAttr(\"object-id\")||a.getStateQualifier();a.widgetPopupsPath=$tm.path.tempPopups+\"/\"+a.id;if(a.editorMode){_utils2.default.addTWlisteners({\"tmap:tm-create-view\":a.handleCreateView,\"tmap:tm-rename-view\":a.handleRenameView,\"tmap:tm-delete-view\":a.handleDeleteView,\"tmap:tm-delete-element\":a.handleDeleteElement,\"tmap:tm-edit-view\":a.handleEditView,\"tmap:tm-generate-widget\":a.handleGenerateWidget,\"tmap:tm-toggle-central-topic\":a.handleSetCentralTopic,\"tmap:tm-save-canvas\":a.handleSaveCanvas},a,a)}_utils2.default.addTWlisteners({\"tmap:tm-focus-node\":a.handleFocusNode,\"tmap:tm-reset-focus\":a.repaintGraph,\"tmap:tm-neighbourhood-reset-trace\":function e(){a.initAndRenderGraph(a.graphDomNode)}},a,a);a.visListeners={click:a.handleVisSingleClickEvent,doubleClick:a.handleVisDoubleClickEvent,stabilized:a.handleVisStabilizedEvent,selectNode:a.handleVisSelectNode,deselectNode:a.handleVisDeselectNode,dragStart:a.handleVisDragStart,dragEnd:a.handleVisDragEnd,hoverNode:a.handleVisHoverElement,hoverEdge:a.handleVisHoverElement,blurNode:a.handleVisBlurElement,blurEdge:a.handleVisBlurElement,beforeDrawing:a.handleVisBeforeDrawing,afterDrawing:a.handleVisAfterDrawing,stabilizationProgress:a.handleVisLoading,stabilizationIterationsDone:a.handleVisLoadingDone};a.windowDomListeners={resize:[a.handleResizeEvent,false],click:[a.handleClickEvent,false],mousemove:[a.handleCanvasMouseMove,true]};a.canvasDomListeners={keyup:[a.handleCanvasKeyup,true],keydown:[a.handleCanvasKeydown,true],mousewheel:[a.handleCanvasScroll,true],DOMMouseScroll:[a.handleCanvasScroll,true],contextmenu:[a.handleContextMenu,true],MozMousePixelScroll:[a.handleExtraCanvasScroll,true]};a.widgetDomListeners={keyup:[a.handleWidgetKeyup,true],keydown:[a.handleWidgetKeydown,true]};a.conVector={from:null,to:null};return a}_createClass(t,[{key:\"handleConnectionEvent\",value:function e(t,i){var a=this;var s=this.view.getEdgeTypeFilter();var r={fromLabel:$tm.adapter.selectNodeById(t.from).label,toLabel:$tm.adapter.selectNodeById(t.to).label,view:this.view.getLabel(),eTyFilter:s.raw};$tm.dialogManager.open(\"getEdgeType\",r,function(e,r){if(e){var n=_utils2.default.getText(r);var o=_EdgeType2.default.getInstance(n);if(!o.namespace){var l=_EdgeType2.default.getIdParts(o.id),d=l.marker,u=l.name;var h=a.view.getConfig(\"edge_type_namespace\");o=_EdgeType2.default.getInstance(_EdgeType2.default.getId(d,h,u))}if(!o.exists()){o.save()}t.type=o.id;$tm.adapter.insertEdge(t);a.isPreventZoomOnNextUpdate=true;if(!a.view.isEdgeTypeVisible(o)){$tm.dialogManager.open(\"edgeNotVisible\",{type:o.id,view:a.view.getLabel(),eTyFilter:s.pretty})}}if(typeof i===\"function\"){i(e)}})}},{key:\"checkForFreshInstall\",value:function e(){if(!_utils2.default.getEntry($tm.ref.sysMeta,\"showWelcomeMessage\",true)){return}_utils2.default.setEntry($tm.ref.sysMeta,\"showWelcomeMessage\",false);var t={dialog:{preselects:{\"config.storyview\":\"true\",\"config.navigation\":\"true\",\"config.sidebar\":\"true\",\"config.demo\":\"true\"}}};$tm.dialogManager.open(\"welcome\",t,function(e,t){var i=_utils2.default.getPropertiesByPrefix(t.fields,\"config.\",true);if(i[\"storyview\"]&&_utils2.default.tiddlerExists(\"$:/plugins/felixhayashi/topstoryview\")){_utils2.default.setText(\"$:/view\",\"top\")}if(i[\"navigation\"]){_utils2.default.setText(\"$:/config/Navigation/openLinkFromInsideRiver\",\"above\");_utils2.default.setText(\"$:/config/Navigation/openLinkFromOutsideRiver\",\"top\")}if(i[\"sidebar\"]){_utils2.default.setText(\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\",\"fixed-fluid\")}if(i[\"demo\"]){var a=$tm.misc.defaultViewLabel;var s=$tm.adapter.insertNode({label:\"Have fun with\",x:0,y:0},a);var r=$tm.adapter.insertNode({label:\"TiddlyMap!!\",x:100,y:100},a);$tm.adapter.insertEdge({from:s.id,to:r.id})}if(Object.keys(i).length){_utils2.default.touch(\"$:/plugins/felixhayashi/tiddlymap\")}})}},{key:\"openStandardConfirmDialog\",value:function e(t,i){var a={message:i};$tm.dialogManager.open(\"getConfirmation\",a,t)}},{key:\"logger\",value:function e(t,i){if(this.isDebug){var a=Array.prototype.slice.call(arguments,1);a.unshift(\"@\"+this.id);a.unshift(t);$tm.logger.apply(this,a)}}},{key:\"render\",value:function e(t,i){this.parentDomNode=t;this.domNode=this.document.createElement(\"div\");t.insertBefore(this.domNode,i);this.registerClassNames(this.domNode);this.viewHolderRef=this.getViewHolderRef();this.view=this.getView();this.graphBarDomNode=this.document.createElement(\"div\");$tw.utils.addClass(this.graphBarDomNode,\"tmap-topbar\");this.domNode.appendChild(this.graphBarDomNode);this.graphDomNode=this.document.createElement(\"div\");this.domNode.appendChild(this.graphDomNode);$tw.utils.addClass(this.graphDomNode,\"tmap-vis-graph\");if(_utils2.default.isPreviewed(this)){$tw.utils.addClass(this.domNode,\"tmap-static-mode\");this.renderPreview(this.graphBarDomNode,this.graphDomNode)}else{this.renderFullWidget(this.domNode,this.graphBarDomNode,this.graphDomNode)}}},{key:\"renderPreview\",value:function e(t,i){var a=this.view.getRoot()+\"/snapshot\";var s=_utils2.default.getTiddler(a);var r=this.document.createElement(\"span\");r.innerHTML=this.view.getLabel();r.className=\"tmap-view-label\";t.appendChild(r);if(s){var n=this.makeChildWidget(_utils2.default.getTranscludeNode(a),true);n.renderChildren(i,null)}else{$tw.utils.addClass(i,\"tmap-graph-placeholder\")}}},{key:\"renderFullWidget\",value:function e(t,i,a){_utils2.default.setDomListeners(\"add\",window,this.windowDomListeners);_utils2.default.setDomListeners(\"add\",t,this.widgetDomListeners);this.addLoadingBar(this.domNode);this.tooltip=new _Popup2.default(this.domNode,{className:\"tmap-tooltip\",showDelay:$tm.config.sys.popups.delay});this.contextMenu=new _Popup2.default(this.domNode,{className:\"tmap-context-menu\",showDelay:0,hideOnClick:true,leavingDelay:999999});this.sidebar=_utils2.default.getFirstElementByClassName(\"tc-sidebar-scrollable\");this.isInSidebar=this.sidebar&&!this.domNode.isTiddlyWikiFakeDom&&this.sidebar.contains(this.domNode);this.rebuildEditorBar(i);this.reloadRefreshTriggers();this.initAndRenderGraph(a);$tm.registry.push(this);this.checkForFreshInstall();if(this.id===$tm.misc.mainEditorId){var s=$tm.url;if(s&&s.query[\"tmap-enlarged\"]){this.toggleEnlargedMode(s.query[\"tmap-enlarged\"]);this.setView(s.query[\"tmap-view\"])}}}},{key:\"registerClassNames\",value:function e(t){var i=$tw.utils.addClass;i(t,\"tmap-widget\");if(this.clickToUse){i(t,\"tmap-click-to-use\")}if(this.getAttr(\"editor\")===\"advanced\"){i(t,\"tmap-advanced-editor\")}if(this.getAttr(\"design\")===\"plain\"){i(t,\"tmap-plain-design\")}if(!_utils2.default.isTrue(this.getAttr(\"show-buttons\"),true)){i(t,\"tmap-no-buttons\")}if(this.getAttr(\"class\")){i(t,this.getAttr(\"class\"))}}},{key:\"addLoadingBar\",value:function e(t){this.graphLoadingBarDomNode=this.document.createElement(\"progress\");$tw.utils.addClass(this.graphLoadingBarDomNode,\"tmap-loading-bar\");t.appendChild(this.graphLoadingBarDomNode)}},{key:\"rebuildEditorBar\",value:function e(){this.removeChildDomNodes();var t=this.view;var i=\"tmap-unicode-button\";var a=i+\" tmap-active-button\";var s={widgetQualifier:this.getStateQualifier(),widgetTempPath:this.widgetTempPath,widgetPopupsPath:this.widgetPopupsPath,isViewBound:String(this.isViewBound()),viewRoot:t.getRoot(),viewLabel:t.getLabel(),viewHolder:this.getViewHolderRef(),edgeTypeFilter:t.edgeTypeFilterTRef,allEdgesFilter:$tm.selector.allEdgeTypes,isShowNeighbourhood:String(t.isEnabled(\"neighbourhood_scope\")),tracingBtnClass:t.isEnabled(\"neighbourhood_trace_clicks\")?a:i,neighScopeBtnClass:t.isEnabled(\"neighbourhood_scope\")?a:i,rasterMenuBtnClass:t.isEnabled(\"raster\")?a:i};for(var r in s){this.setVariable(r,s[r])}var n=_utils2.default.getTiddlerNode(t.getRoot());if(this.editorMode===\"advanced\"){n.children.push(_utils2.default.getTranscludeNode($tm.ref.graphBar))}else{var o=_utils2.default.getElementNode(\"span\",\"tmap-view-label\",t.getLabel());n.children.push(o)}n.children.push(_utils2.default.getTranscludeNode($tm.ref.focusButton));this.makeChildWidgets([n]);this.renderChildren(this.graphBarDomNode,this.graphBarDomNode.firstChild)}},{key:\"refresh\",value:function e(t){return false}},{key:\"update\",value:function e(t){if(!this.network||this.isZombieWidget()||_utils2.default.isPreviewed(this)){return}var i=t.changedTiddlers;this.callbackManager.refresh(i);if(this.isViewSwitched(i)||this.hasChangedAttributes()||t[env.path.options]||i[this.view.getRoot()]){this.logger(\"warn\",\"View switched or config changed\");this.isPreventZoomOnNextUpdate=false;this.view=this.getView(true);this.reloadRefreshTriggers();this.trace=_utils2.default.makeHashMap();this.rebuildEditorBar();this.reloadBackgroundImage();this.initAndRenderGraph(this.graphDomNode)}else{var a=this.view.update(t);if(a){this.logger(\"warn\",\"View components modified\");this.rebuildGraph({resetFocus:{delay:1e3,duration:1e3}})}else{if(t[env.path.nodeTypes]||this.hasChangedElements(i)){this.rebuildGraph()}this.refreshChildren(i)}}}},{key:\"hidePopups\",value:function e(t,i){this.tooltip.hide(t,i);this.contextMenu.hide(0,true)}},{key:\"reloadRefreshTriggers\",value:function e(){this.callbackManager.remove(this.refreshTriggers);var t=this.getAttr(\"refresh-triggers\")||this.view.getConfig(\"refresh-triggers\");this.refreshTriggers=$tw.utils.parseStringArray(t)||[];this.logger(\"debug\",\"Registering refresh trigger\",this.refreshTriggers);for(var i=this.refreshTriggers.length;i--;){this.callbackManager.add(this.refreshTriggers[i],this.handleTriggeredRefresh,false)}}},{key:\"rebuildGraph\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{},i=t.resetFocus;if(_utils2.default.isPreviewed(this)){return}this.logger(\"debug\",\"Rebuilding graph\");this.hidePopups(0,true);this.hasNetworkStabilized=false;var a=this.rebuildGraphData();if(a.changedNodes.withoutPosition.length){i=i||{delay:1e3,duration:1e3};if(!this.view.isEnabled(\"physics_mode\")){var s=this.visOptions.physics;s[s.solver].centralGravity=.25;this.network.setOptions(this.visOptions)}}if(!_utils2.default.hasElements(this.graphData.nodesById)){return}if(i){var r=this.isPreventZoomOnNextUpdate==null?false:typeof this.isPreventZoomOnNextUpdate===\"number\"?this.isPreventZoomOnNextUpdate>Date.now():this.isPreventZoomOnNextUpdate;if(!r){this.network.stabilize();this.resetFocus=i}if(typeof this.isPreventZoomOnNextUpdate!==\"number\"){this.isPreventZoomOnNextUpdate=false}}}},{key:\"getContainer\",value:function e(){return this.domNode}},{key:\"rebuildGraphData\",value:function e(){var t=this;$tm.start(\"Reloading Network\");var i={view:this.view};if(this.view.isEnabled(\"neighbourhood_trace_clicks\")){var a=_utils2.default.getMatches(this.view.getNodeFilter(\"compiled\"));var s=Object.keys(this.trace);var r=[].concat(_toConsumableArray(a.filter(function(e){return!t.trace[e]})),_toConsumableArray(s));i.matches=r;i.includeNeighboursOf=this.view.isEnabled(\"neighbourhood_include_traced_node_neighbours\")?function(e){return r.includes(e)}:function(e){return a.includes(e)}}var n=$tm.adapter.getGraph(i);var o=_utils2.default.refreshDataSet(this.graphData.nodes,n.nodes);var l=_utils2.default.refreshDataSet(this.graphData.edges,n.edges);this.graphData.nodesById=n.nodes;this.graphData.edgesById=n.edges;_utils2.default.setField(\"$:/temp/tmap/nodes/\"+this.view.getLabel(),\"list\",$tm.adapter.getTiddlersByIds(n.nodes));$tm.stop(\"Reloading Network\");return{changedEdges:l,changedNodes:o}}},{key:\"isViewBound\",value:function e(){return _utils2.default.startsWith(this.getViewHolderRef(),$tm.path.localHolders)}},{key:\"isViewSwitched\",value:function e(t){return!_ViewAbstraction2.default.exists(this.view)||t[this.getViewHolderRef()]}},{key:\"hasChangedAttributes\",value:function e(){return Object.keys(this.computeAttributes()).length}},{key:\"hasChangedElements\",value:function e(t){var i=[];var a=this.graphData.nodesById;var s=this.view.isEnabled(\"neighbourhood_scope\");for(var r in t){if(_utils2.default.isSystemOrDraft(r)){continue}if(a[$tm.adapter.getId(r)]||s){return true}if(t[r].modified){i.push(r)}}if(i.length){var n=this.view.getNodeFilter(\"compiled\");var o=_utils2.default.getMatches(n,i);return!!o.length}}},{key:\"initAndRenderGraph\",value:function e(t){var i=this;if(this.network){this._destructVis()}this.logger(\"info\",\"Initializing and rendering the graph\");if(!this.isInSidebar){this.callbackManager.add(\"$:/state/sidebar\",this.handleResizeEvent)}this.visOptions=this.getVisOptions();this.graphData={nodes:new _vis2.default.DataSet,edges:new _vis2.default.DataSet,nodesById:_utils2.default.makeHashMap(),edgesById:_utils2.default.makeHashMap()};this.tooltip.setEnabled(_utils2.default.isTrue($tm.config.sys.popups.enabled,true));this.trace=_utils2.default.makeHashMap();this.network=new _vis2.default.Network(t,this.graphData,this.visOptions);this.canvas=t.getElementsByTagName(\"canvas\")[0];this.networkDomNode=_utils2.default.getFirstElementByClassName(\"vis-network\",t,true);this.canvas.tabIndex=0;for(var a in this.visListeners){this.network.on(a,this.visListeners[a].bind(this))}this.addGraphButtons({\"fullscreen-button\":function e(){i.toggleEnlargedMode(\"fullscreen\")},\"halfscreen-button\":function e(){i.toggleEnlargedMode(\"halfscreen\")}});_utils2.default.setDomListeners(\"add\",this.canvas,this.canvasDomListeners);this.reloadBackgroundImage();this.rebuildGraph({resetFocus:{delay:0,duration:0}});this.handleResizeEvent();this.canvas.focus();if(this.view.isLiveView()&&this.view.isEnabled(\"neighbourhood_trace_clicks\")){this.trace[_utils2.default.getText(this.refreshTriggers[0])]=true}}},{key:\"handleCanvasKeyup\",value:function e(t){var i=this;var a=this.network.getSelectedNodes();if(t.ctrlKey){t.preventDefault();if(t.keyCode===88){if(this.editorMode){this.handleAddNodesToClipboard(\"move\")}else{$tm.notify(\"Map is read only!\")}}else if(t.keyCode===67){this.handleAddNodesToClipboard(\"copy\")}else if(t.keyCode===86){this.handlePasteNodesFromClipboard()}else if(t.keyCode===65){var s=Object.keys(this.graphData.nodesById);this.network.selectNodes(s)}else if(t.keyCode===49||t.keyCode===50){if(a.length!==1)return;var r=t.keyCode===49?\"from\":\"to\";$tm.notify(_utils2.default.ucFirst(r)+\"-part selected\");this.conVector[r]=a[0];if(this.conVector.from&&this.conVector.to){this.handleConnectionEvent(this.conVector,function(){i.conVector={from:null,to:null}})}}}else{if(t.keyCode===13){if(a.length!==1)return;this.openTiddlerWithId(a[0])}}}},{key:\"handleCanvasKeydown\",value:function e(t){if(t.altKey||t.metaKey){t.preventDefault();if(t.keyCode>=48&&t.keyCode<=57){var i=String.fromCharCode(t.keyCode);this.view.setConfig(\"neighbourhood_scope\",i)}}else{if(t.keyCode===46){t.preventDefault();this.handleRemoveElements(this.network.getSelection())}}}},{key:\"handleDeleteElement\",value:function e(t){var i=t.paramObject.id;var a=i?[i]:this.network.getSelectedNodes();this.handleRemoveElements({nodes:a})}},{key:\"handleCanvasMouseMove\",value:function e(t){var i=this.network;if(!(t.ctrlKey&&t.buttons)){if(this.selectRect){this.selectRect=null;var a=i.getSelectedNodes();$tm.notify(a.length+\" nodes selected\");i.redraw()}return}t.preventDefault();t.stopPropagation();if(!this.domNode.contains(t.target)){return}var s=i.DOMtoCanvas({x:t.offsetX,y:t.offsetY});if(!this.selectRect){this.selectRect=new _SelectionRectangle2.default(s.x,s.y)}this.selectRect.span(s.x,s.y);var r=i.getPositions();var n=i.getSelectedNodes();for(var o in r){if(this.selectRect.isPointWithin(r[o])&&!_utils2.default.inArray(o,n)){n.push(o)}}i.selectNodes(n);this.assignActiveStyle(n);i.redraw()}},{key:\"handleCanvasScroll\",value:function e(t){var i=!!(this.isInSidebar||t.ctrlKey||this.enlargedMode||this.clickToUse&&this.networkDomNode.classList.contains(\"vis-active\"));var a=this.visOptions.interaction;var s=i===a.zoomView;if(i||!s){t.preventDefault()}if(!s){t.stopPropagation();a.zoomView=i;this.network.setOptions({interaction:{zoomView:i}});return false}}},{key:\"handleExtraCanvasScroll\",value:function e(t){t.preventDefault()}},{key:\"handleContextMenu\",value:function e(t){var i=this;t.preventDefault();var a=this.network;this.hidePopups(0,true);var s=a.getNodeAt({x:t.offsetX,y:t.offsetY});if(!s)return;var r=a.getSelectedNodes();if(!_utils2.default.inArray(s,r)){r=[s];a.selectNodes(r)}this.contextMenu.show(r,function(e,t){var a=e.length>1?\"multi\":\"single\";var s=\"$:/plugins/felixhayashi/tiddlymap/editor/contextMenu/node\";_utils2.default.registerTransclude(i,\"contextMenuWidget\",s);i.contextMenuWidget.setVariable(\"mode\",a);i.contextMenuWidget.render(t)})}},{key:\"handleWidgetKeyup\",value:function e(t){}},{key:\"handleWidgetKeydown\",value:function e(t){if(t.ctrlKey){t.preventDefault();if(t.keyCode===70){t.preventDefault();var i=this.widgetPopupsPath+\"/focus\";_utils2.default.setText(i,_utils2.default.getText(i)?\"\":\"1\")}else{return}}else if(t.keyCode===120){t.preventDefault();this.toggleEnlargedMode(\"halfscreen\")}else if(t.keyCode===121){t.preventDefault();this.toggleEnlargedMode(\"fullscreen\")}else if(t.keyCode===27){t.preventDefault();_utils2.default.deleteByPrefix(this.widgetPopupsPath)}else{return}this.canvas.focus()}},{key:\"handlePasteNodesFromClipboard\",value:function e(){if(!this.editorMode){$tm.notify(\"Map is read only!\");return}if(!$tm.clipBoard||$tm.clipBoard.type!==\"nodes\"){$tm.notify(\"TiddlyMap clipboad is empty!\")}var t=$tm.clipBoard.nodes;var i=Object.keys(t);for(var a=i.length;a--;){var s=i[a];if(this.graphData.nodesById[s]){continue}this.view.addNode(t[s]);this.graphData.nodes.update({id:s})}this.network.selectNodes(i);this.rebuildGraph({resetFocus:{delay:0,duration:0}});$tm.notify(\"pasted \"+i.length+\" nodes into map.\")}},{key:\"handleAddNodesToClipboard\",value:function e(t){var i=this.network.getSelectedNodes();if(!i.length){return}$tm.clipBoard={type:\"nodes\",nodes:this.graphData.nodes.get(i,{returnType:\"Object\"})};$tm.notify(\"Copied \"+i.length+\" nodes to clipboard\");if(t===\"move\"){for(var a=i.length;a--;){this.view.removeNode(i[a])}}this.isPreventZoomOnNextUpdate=true}},{key:\"getVisOptions\",value:function e(){var t=this;var i=$tm.config.vis;var a=_utils2.default.parseJSON(this.view.getConfig(\"vis\"))||{};var s=a.layout||{},r=s.hierarchical;var n={layout:{hierarchical:{enabled:r===undefined||r===null?false:typeof r===\"boolean\"?r:r.enabled!==false}}};var o=_utils2.default.merge({},i,_utils2.default.merge(a,n));o.clickToUse=this.clickToUse;o.manipulation.enabled=!!this.editorMode;o.manipulation.deleteNode=function(e,i){t.handleRemoveElements(e);t.resetVisManipulationBar(i)};o.manipulation.deleteEdge=function(e,i){t.handleRemoveElements(e);t.resetVisManipulationBar(i)};o.manipulation.addEdge=function(e,i){t.handleConnectionEvent(e);t.resetVisManipulationBar(i)};o.manipulation.addNode=function(e,i){t.handleInsertNode(e);t.resetVisManipulationBar(i)};o.manipulation.editNode=function(e,i){t.handleEditNode(e);t.resetVisManipulationBar(i)};o.interaction.zoomView=!!(this.isInSidebar||this.enlargedMode);o.manipulation.editEdge=false;var l=o.physics;l[l.solver]=l[l.solver]||{};l.stabilization.iterations=1e3;this.logger(\"debug\",\"Loaded graph options\",o);return o}},{key:\"resetVisManipulationBar\",value:function e(t){if(t){t(null)}this.network.disableEditMode();this.network.enableEditMode()}},{key:\"isVisInEditMode\",value:function e(){return this.graphDomNode.getElementsByClassName(\"vis-button vis-back\").length>0}},{key:\"handleCreateView\",value:function e(){var t=this;var i={view:this.view.getLabel()};$tm.dialogManager.open(\"createView\",i,function(e,i){if(!e)return;var a=_utils2.default.getField(i,\"name\");var s=_utils2.default.getField(i,\"clone\",false);if(_ViewAbstraction2.default.exists(a)){$tm.notify(\"Forbidden! View already exists!\");return}if(s&&t.view.isLiveView()){$tm.notify(\"Forbidden to clone the live view!\");return}var r=new _ViewAbstraction2.default(a,{isCreate:true,protoView:s?t.view:null});t.setView(r)})}},{key:\"handleRenameView\",value:function e(){var t=this;if(this.view.isLocked()){$tm.notify(\"Forbidden!\");return}var i=this.view.getOccurrences();var a={count:i.length.toString(),refFilter:_utils2.default.joinAndWrap(i,\"[[\",\"]]\")};$tm.dialogManager.open(\"renameView\",a,function(e,i){if(!e){return}var a=_utils2.default.getText(i);if(!a){$tm.notify(\"Invalid name!\")}else if(_ViewAbstraction2.default.exists(a)){$tm.notify(\"Forbidden! View already exists!\")}else{t.view.rename(a);t.setView(t.view)}})}},{key:\"handleEditView\",value:function e(){var t=this;var i=JSON.stringify($tm.config.vis);var a=this.graphData;var s=this.view.getConfig();var r={\"filter.prettyNodeFltr\":this.view.getNodeFilter(\"pretty\"),\"filter.prettyEdgeFltr\":this.view.getEdgeTypeFilter(\"pretty\"),\"inherited-style\":i};var n={view:this.view.getLabel(),createdOn:this.view.getCreationDate(true),numberOfNodes:Object.keys(a.nodesById).length.toString(),numberOfEdges:Object.keys(a.edgesById).length.toString(),dialog:{preselects:$tw.utils.extend({},s,r)}};$tm.dialogManager.open(\"configureView\",n,function(e,i){if(!e){return}var a=_utils2.default.getPropertiesByPrefix(i.fields,\"config.\",true);var s=t.view.getConfig(\"background_image\");t.view.setConfig(a);if(a[\"physics_mode\"]&&!t.view.isEnabled(\"physics_mode\")){t.view.saveNodePositions(t.network.getPositions())}var r=t.view.getConfig(\"background_image\");if(r&&r!==s){$tm.notify(\"Background changed! You may need to zoom out a bit.\")}var n=_utils2.default.getField(i,\"filter.prettyNodeFltr\",\"\");var o=_utils2.default.getField(i,\"filter.prettyEdgeFltr\",\"\");t.view.setNodeFilter(n);t.view.setEdgeTypeFilter(o)})}},{key:\"handleSaveCanvas\",value:function e(){var t=this;var i=\"$:/temp/tmap/snapshot\";this.createAndSaveSnapshot(i);var a=_utils2.default.getSnapshotTitle(this.view.getLabel(),\"png\");var s={dialog:{snapshot:i,width:this.canvas.width.toString(),height:this.canvas.height.toString(),preselects:{name:a,action:\"download\"}}};$tm.dialogManager.open(\"saveCanvas\",s,function(e,s){if(!e)return;a=s.fields.name||a;var r=s.fields.action;if(r===\"download\"){t.handleDownloadSnapshot(a)}else if(r===\"wiki\"){_utils2.default.cp(i,a,true);t.dispatchEvent({type:\"tm-navigate\",navigateTo:a})}else if(r===\"placeholder\"){t.view.addPlaceholder(i)}$tw.wiki.deleteTiddler(\"$:/temp/tmap/snapshot\")})}},{key:\"handleDownloadSnapshot\",value:function e(t){var i=this.document.createElement(\"a\");var a=this.view.getLabel();i.download=t||_utils2.default.getSnapshotTitle(a,\"png\");i.href=this.getSnapshot();var s=new MouseEvent(\"click\");i.dispatchEvent(s)}},{key:\"createAndSaveSnapshot\",value:function e(t){var i=t||this.view.getRoot()+\"/snapshot\";$tw.wiki.addTiddler(new $tw.Tiddler({title:i,type:\"image/png\",text:this.getSnapshot(true)},$tw.wiki.getCreationFields(),$tw.wiki.getModificationFields()));return i}},{key:\"getSnapshot\",value:function e(t){var i=this.canvas.toDataURL(\"image/png\");return t?_utils2.default.getWithoutPrefix(i,\"data:image/png;base64,\"):i}},{key:\"handleDeleteView\",value:function e(){var t=this;var i=this.view.getLabel();if(this.view.isLocked()){$tm.notify(\"Forbidden!\");return}var a=this.view.getOccurrences();if(a.length){var s={count:a.length.toString(),refFilter:_utils2.default.joinAndWrap(a,\"[[\",\"]]\")};$tm.dialogManager.open(\"cannotDeleteViewDialog\",s);return}var r=\"\\n You are about to delete the view ''\"+i+\"''\\n (no tiddler currently references this view).\\n \";this.openStandardConfirmDialog(function(e){if(!e){return}t.view.destroy();t.setView($tm.misc.defaultViewLabel);var a='view \"'+i+\"' deleted\";t.logger(\"debug\",a);$tm.notify(a)},r)}},{key:\"handleTriggeredRefresh\",value:function e(t){this.logger(\"log\",t,\"Triggered a refresh\");var i=_utils2.default.getTiddler(_utils2.default.getText(t));if(this.view.isLiveView()){if(i){if(this.view.isEnabled(\"neighbourhood_trace_clicks\")){this.trace[i.fields.title]=true}var a=i.fields[\"tmap.open-view\"]||$tm.config.sys.liveTab.fallbackView;if(a&&a!==this.view.getLabel()){this.setView(a);return}}}this.rebuildGraph({resetFocus:{delay:1e3,duration:1e3}})}},{key:\"handleRemoveElements\",value:function e(t){var i=t.nodes,a=t.edges;if(i.length){this.handleRemoveNodes(i)}else if(a.length){this.handleRemoveEdges(a)}this.resetVisManipulationBar()}},{key:\"handleRemoveEdges\",value:function e(t){$tm.adapter.deleteEdges(this.graphData.edges.get(t));$tm.notify(\"edge\"+(t.length>1?\"s\":\"\")+\" removed\")}},{key:\"handleRemoveNodes\",value:function e(t){var i=this;var a=$tm.adapter.getTiddlersByIds(t);var s={count:t.length.toString(),tiddlers:$tw.utils.stringifyList(a),dialog:{preselects:{\"delete-from\":\"filter\"}}};$tm.dialogManager.open(\"deleteNodeDialog\",s,function(e,a){if(!e)return;var s=0;for(var r=t.length;r--;){var n=i.view.removeNode(t[r]);if(n){s++}}if(a.fields[\"delete-from\"]===\"system\"){$tm.adapter.deleteNodes(t);s=t.length}i.isPreventZoomOnNextUpdate=true;$tm.notify(\"\\n Removed \"+s+\"\\n of \"+t.length+\"\\n from \"+a.fields[\"delete-from\"]+\"\\n \")})}},{key:\"toggleEnlargedMode\",value:function e(t){if(!this.isInSidebar&&t===\"halfscreen\"){return}this.logger(\"log\",\"Toggled graph enlargement\");var i=this.enlargedMode;if(i){this.network.setOptions({clickToUse:this.clickToUse});_utils2.default.findAndRemoveClassNames([\"tmap-has-\"+i+\"-widget\",\"tmap-\"+i]);this.enlargedMode=null;document.body.scrollTop=this.scrollTop}if(!i||i!==t&&(t===\"fullscreen\"||t===\"halfscreen\"&&!this.isInSidebar)){this.scrollTop=document.body.scrollTop;this.enlargedMode=t;var a=this.isInSidebar?this.sidebar:_utils2.default.getFirstElementByClassName(\"tc-story-river\");$tw.utils.addClass(this.document.body,\"tmap-has-\"+t+\"-widget\");$tw.utils.addClass(a,\"tmap-has-\"+t+\"-widget\");$tw.utils.addClass(this.domNode,\"tmap-\"+t);this.network.setOptions({clickToUse:false});$tm.notify(\"Toggled \"+t+\" mode\")}this.handleResizeEvent()}},{key:\"handleGenerateWidget\",value:function e(t){$tw.rootWidget.dispatchEvent({type:\"tmap:tm-generate-widget\",paramObject:{view:this.view.getLabel()}})}},{key:\"handleSetCentralTopic\",value:function e(t){var i=t.paramObject;var a=i.id||this.network.getSelectedNodes()[0];if(a===this.view.getConfig(\"central-topic\")){a=\"\"}this.view.setCentralTopic(a)}},{key:\"handleVisStabilizedEvent\",value:function e(t){if(this.hasNetworkStabilized){return}this.hasNetworkStabilized=true;this.logger(\"log\",\"Network stabilized after\",t.iterations,\"iterations\");if(!this.view.isEnabled(\"physics_mode\")){var i=this.graphData.nodesById;var a=[];for(var s in i){if(i[s].x===undefined){a.push(s)}}if(a.length){this.setNodesMoveable(a,false);$tm.notify(a.length+\" nodes were added to the graph\")}var r=this.visOptions.physics;r[r.solver].centralGravity=0;this.network.setOptions(this.visOptions)}if(this.resetFocus){this.fitGraph(this.resetFocus.delay,this.resetFocus.duration);this.resetFocus=null}}},{key:\"handleFocusNode\",value:function e(t){var i=t.param;this.network.focus($tm.adapter.getId(i),{scale:1.5,animation:true})}},{key:\"isZombieWidget\",value:function e(){return this.domNode.isTiddlyWikiFakeDom===true||!this.document.body.contains(this.getContainer())}},{key:\"fitGraph\",value:function e(){var t=this;var i=arguments.length>0&&arguments[0]!==undefined?arguments[0]:0;var a=arguments.length>1&&arguments[1]!==undefined?arguments[1]:0;clearTimeout(this.activeFitTimeout);var s=function e(){if(t.isZombieWidget()){return}t.network.redraw();t.network.fit({animation:{duration:a,easingFunction:\"easeOutQuart\"}})};this.activeFitTimeout=setTimeout(s,i)}},{key:\"handleInsertNode\",value:function e(t){var i=this;$tm.dialogManager.open(\"addNodeToMap\",{},function(e,a){if(!e){return}var s=_utils2.default.getField(a,\"draft.title\");if(_utils2.default.tiddlerExists(s)){if(_utils2.default.isMatch(s,i.view.getNodeFilter(\"compiled\"))){$tm.notify(\"Node already exists\");return}else{t=$tm.adapter.makeNode(s,t);i.view.addNode(t)}}else{var r=new $tw.Tiddler(a,{\"draft.title\":null});t.label=s;$tm.adapter.insertNode(t,i.view,r)}i.isPreventZoomOnNextUpdate=true})}},{key:\"handleEditNode\",value:function e(t){var i=this;var a=$tm.tracker.getTiddlerById(t.id);var s=_utils2.default.getTiddler(a);var r=$tm.config.vis.nodes;var n=_utils2.default.parseJSON(this.view.getConfig(\"vis\"),{}).nodes;var o={};o[t.id]=t;var l=$tm.adapter.getInheritedNodeStyles(o);var d=l[a];var u=_utils2.default.merge({},{color:s.fields[\"color\"]},_utils2.default.parseJSON(s.fields[\"tmap.style\"]));var h=this.view.getLabel();var g=_extends({},this.view.getNodeData(t.id));delete g.x;delete g.y;var f={view:h,tiddler:s.fields.title,tidColor:s.fields[\"color\"],tidIcon:s.fields[$tm.field.nodeIcon]||s.fields[\"tmap.fa-icon\"],tidLabelField:\"global.\"+$tm.field.nodeLabel,tidIconField:\"global.\"+$tm.field.nodeIcon,dialog:{preselects:{\"inherited-global-default-style\":JSON.stringify(r),\"inherited-local-default-style\":JSON.stringify(n),\"inherited-group-styles\":JSON.stringify(d),\"global.tmap.style\":JSON.stringify(u),\"local-individual-node-style\":JSON.stringify(g)}}};var v=function e(t,i,a){for(var s=a.length;s--;){f.dialog.preselects[t+\".\"+a[s]]=i[a[s]]||\"\"}};v(\"local\",g,[\"label\",\"tw-icon\",\"fa-icon\",\"open-view\"]);v(\"global\",s.fields,[$tm.field.nodeLabel,$tm.field.nodeIcon,\"tmap.fa-icon\",\"tmap.open-view\"]);$tm.dialogManager.open(\"editNode\",f,function(e,s){if(!e)return;var r=s.fields;var n=_utils2.default.getPropertiesByPrefix(r,\"global.\",true);for(var o in n){_utils2.default.setField(a,o,n[o]||undefined)}var l=_utils2.default.getPropertiesByPrefix(r,\"local.\",true);var d=_utils2.default.parseJSON(r[\"local-individual-node-style\"],{});for(var u in l){d[u]=l[u]||undefined}i.view.saveNodeStyle(t.id,d);i.isPreventZoomOnNextUpdate=true})}},{key:\"handleVisSingleClickEvent\",value:function e(t){var i=_utils2.default.isTrue($tm.config.sys.singleClickMode);if(i&&!this.editorMode){this.handleOpenMapElementEvent(t)}}},{key:\"handleVisDoubleClickEvent\",value:function e(t){if(t.nodes.length||t.edges.length){if(this.editorMode||!_utils2.default.isTrue($tm.config.sys.singleClickMode)){this.handleOpenMapElementEvent(t)}}else{if(this.editorMode){this.handleInsertNode(t.pointer.canvas)}}}},{key:\"handleOpenMapElementEvent\",value:function e(t){var i=this;var a=t.nodes,s=t.edges;if(a.length){var r=this.graphData.nodesById[a[0]];if(this.view.isEnabled(\"neighbourhood_trace_clicks\")){this.trace[$tm.adapter.getTiddlerById(r.id)]=true;this.isPreventZoomOnNextUpdate=Date.now()+500;this.rebuildGraph();if(this.view.isEnabled(\"neighbourhood_focus_newly_traced_node\")){setTimeout(function(){i.network.focus(r.id,{scale:1,animation:true})},1500)}}if(r[\"open-view\"]){$tm.notify(\"Switching view\");this.setView(r[\"open-view\"])}else{this.openTiddlerWithId(a[0])}}else if(s.length){this.logger(\"debug\",\"Clicked on an Edge\");var n=this.graphData.edgesById[s[0]].type;this.handleEditEdgeType(n)}else{return}this.hidePopups(0,true)}},{key:\"handleEditEdgeType\",value:function e(t){if(!this.editorMode)return;var i=$tm.config.sys.edgeClickBehaviour;if(i!==\"manager\")return;$tw.rootWidget.dispatchEvent({type:\"tmap:tm-manage-edge-types\",paramObject:{type:t}})}},{key:\"handleResizeEvent\",value:function e(t){if(this.isZombieWidget())return;var i=this.getAttr(\"height\");var a=this.getAttr(\"width\");if(this.isInSidebar){var s=this.domNode.getBoundingClientRect();var r=15;a=document.body.clientWidth-s.left-r+\"px\";var n=parseInt(this.getAttr(\"bottom-spacing\"))||15;var o=window.innerHeight-s.top;i=o-n+\"px\"}this.domNode.style.height=i||\"300px\";this.domNode.style.width=a;this.repaintGraph()}},{key:\"handleClickEvent\",value:function e(t){if(this.isZombieWidget()||!this.network)return;if(!this.graphDomNode.contains(t.target)){var i=this.network.getSelection();if(i.nodes.length||i.edges.length){this.logger(\"debug\",\"Clicked outside; deselecting nodes/edges\");this.network.selectNodes([]);this.resetVisManipulationBar()}}else{this.canvas.focus()}if(t.button!==2){this.contextMenu.hide(0,true)}}},{key:\"handleVisSelectNode\",value:function e(t){var i=t.nodes;if(!this.isDraggingAllowed(i)){return}this.assignActiveStyle(i)}},{key:\"isDraggingAllowed\",value:function e(t){var i=t.nodes;return this.editorMode||this.view.isEnabled(\"physics_mode\")}},{key:\"assignActiveStyle\",value:function e(t){if(!Array.isArray(t))t=[t];var i=this.visOptions.nodes.color;for(var a=t.length;a--;){var s=t[a];var r=this.graphData.nodesById[s];var n=_utils2.default.merge({},i,r.color);this.graphData.nodes.update({id:s,color:{highlight:n,hover:n}})}}},{key:\"handleVisDeselectNode\",value:function e(t){}},{key:\"handleVisDragEnd\",value:function e(t){var i=t.nodes;if(!i.length){return}if(i.length===1&&this.view.isEnabled(\"raster\")){var a=this.network.getPositions()[i[0]];this.graphData.nodes.update(_extends({id:i[0]},_utils2.default.getNearestRasterPosition(a,parseInt(this.view.getConfig(\"raster\")))))}this.draggedNode=null;this.setNodesMoveable(i,false)}},{key:\"handleVisBeforeDrawing\",value:function e(t){var i=this.view,a=this.network,s=this.backgroundImage;if(s){t.drawImage(s,0,0)}if(i.isEnabled(\"raster\")){_utils2.default.drawRaster(t,a.getScale(),a.getViewPosition(),parseInt(i.getConfig(\"raster\")))}}},{key:\"handleVisAfterDrawing\",value:function e(t){if(this.selectRect){var i=this.selectRect.getRect();t.beginPath();t.globalAlpha=.5;t.fillStyle=\"#EAFFEF\";t.fillRect.apply(t,_toConsumableArray(i));t.beginPath();t.globalAlpha=1;t.strokeStyle=\"#B4D9BD\";t.strokeRect.apply(t,_toConsumableArray(i))}if(this.draggedNode&&this.view.isEnabled(\"raster\")){var a=this.network.getPositions()[this.draggedNode];var s=_utils2.default.getNearestRasterPosition(a,parseInt(this.view.getConfig(\"raster\")));t.strokeStyle=\"green\";t.fillStyle=\"green\";t.beginPath();t.moveTo(a.x,a.y);t.lineTo(s.x,s.y);t.stroke();t.beginPath();t.arc(s.x,s.y,5,0,Math.PI*2);t.fill()}}},{key:\"constructTooltip\",value:function e(t,i){var a=_utils2.default.parseJSON(t);var s=a.node||a.edge;var r=null;var n=\"text/html\";var o=\"text/vnd-tiddlywiki\";if(a.node){var l=$tm.tracker.getTiddlerById(s);var d=_utils2.default.getTiddler(l);var u=d.fields[$tm.field.nodeInfo];if(u){i.innerHTML=$tw.wiki.renderText(n,o,u)}else if(d.fields.text){_utils2.default.registerTransclude(this,\"tooltipWidget\",l);this.tooltipWidget.setVariable(\"tv-tiddler-preview\",\"yes\");this.tooltipWidget.render(i)}else{i.innerHTML=l}}else{var h=this.graphData.edgesById[s];var g=$tm.indeces.allETy[h.type];if(g.description){r=$tw.wiki.renderText(n,o,g.description)}i.innerHTML=r||g.label||g.id}}},{key:\"handleVisHoverElement\",value:function e(t){if($tm.mouse.buttons)return;var i=t.node||t.edge;var a=JSON.stringify(t);if(t.node){this.assignActiveStyle(i)}if(!this.isVisInEditMode()&&!this.contextMenu.isShown()){var s=this.constructTooltip;this.tooltip.show(a,s)}}},{key:\"handleVisBlurElement\",value:function e(t){this.tooltip.hide()}},{key:\"handleVisLoading\",value:function e(t){var i=t.total,a=t.iterations;this.graphLoadingBarDomNode.style.display=\"block\";this.graphLoadingBarDomNode.setAttribute(\"max\",i);this.graphLoadingBarDomNode.setAttribute(\"value\",a)}},{key:\"handleVisLoadingDone\",value:function e(t){this.graphLoadingBarDomNode.style.display=\"none\"}},{key:\"handleVisDragStart\",value:function e(t){var i=t.nodes;if(!i.length||!this.isDraggingAllowed(i)){return}this.hidePopups(0,true);this.assignActiveStyle(i);this.setNodesMoveable(i,true);if(i.length===1){this.draggedNode=i[0]}}},{key:\"destruct\",value:function e(){_utils2.default.setDomListeners(\"remove\",window,this.windowDomListeners);_utils2.default.setDomListeners(\"remove\",this.domNode,this.widgetDomListeners);this._destructVis()}},{key:\"_destructVis\",value:function e(){if(!this.network)return;_utils2.default.setDomListeners(\"remove\",this.canvas,this.canvasDomListeners);this.network.destroy();this.network=null}},{key:\"openTiddlerWithId\",value:function e(t){var i=this;var a=$tm.tracker.getTiddlerById(t);this.logger(\"debug\",\"Opening tiddler\",a,\"with id\",t);if(this.enlargedMode===\"fullscreen\"){var s=$tw.wiki.findDraft(a);var r=!!s;if(!r){var n=\"tm-edit-tiddler\";this.dispatchEvent({type:n,tiddlerTitle:a});s=$tw.wiki.findDraft(a)}var o={draftTRef:s,originalTRef:a};$tm.dialogManager.open(\"fullscreenTiddlerEditor\",o,function(e,t){if(e){var n=\"tm-save-tiddler\";i.dispatchEvent({type:n,tiddlerTitle:s})}else if(!r){_utils2.default.deleteTiddlers([s])}var o=\"tm-close-tiddler\";i.dispatchEvent({type:o,tiddlerTitle:a})})}else{var l=this.domNode.getBoundingClientRect();this.dispatchEvent({type:\"tm-navigate\",navigateTo:a,navigateFromTitle:this.getVariable(\"storyTiddler\"),navigateFromNode:this,navigateFromClientRect:{top:l.top,left:l.left,width:l.width,right:l.right,bottom:l.bottom,height:l.height}})}}},{key:\"getViewHolderRef\",value:function e(){if(this.viewHolderRef){return this.viewHolderRef}this.logger(\"info\",\"Retrieving or generating the view holder reference\");var t=this.getAttr(\"view\");var i=null;if(t){this.logger(\"log\",'User wants to bind view \"'+t+\"' to graph\");var a=$tm.path.views+\"/\"+t;if($tw.wiki.getTiddler(a)){i=$tm.path.localHolders+\"/\"+_utils2.default.genUUID();this.logger(\"log\",'Created an independent temporary view holder \"'+i+'\"');_utils2.default.setText(i,a);this.logger(\"log\",'View \"'+a+\"' inserted into independend holder\")}else{this.logger(\"log\",'View \"'+t+'\" does not exist')}}if(!i){this.logger(\"log\",\"Using default (global) view holder\");i=$tm.ref.defaultViewHolder}return i}},{key:\"setView\",value:function e(t,i){if(!_ViewAbstraction2.default.exists(t)){return}t=new _ViewAbstraction2.default(t);var a=t.getLabel();i=i||this.viewHolderRef;this.logger(\"info\",'Inserting view \"'+a+'\" into holder \"'+i+'\"');$tw.wiki.addTiddler(new $tw.Tiddler({title:i,text:a}));this.update({changedTiddlers:_defineProperty({},i,true)})}},{key:\"getView\",value:function e(t){if(!t&&this.view){return this.view}var i=this.getViewHolderRef();var a=_utils2.default.getText(i);this.logger(\"debug\",\"Retrieved view from holder\");var s=void 0;if(_ViewAbstraction2.default.exists(a)){s=new _ViewAbstraction2.default(a)}else{this.logger(\"debug\",'Warning: View \"'+a+\"\\\" doesn't exist. Default is used instead.\");s=new _ViewAbstraction2.default(\"Default\")}return s}},{key:\"reloadBackgroundImage\",value:function e(t){var i=this;this.backgroundImage=null;var a=this.view.getConfig(\"background_image\");var s=_utils2.default.getTiddler(a);if(!s&&!a)return;var r=new Image;var n=function e(t){r.src=t};r.onload=function(){i.backgroundImage=r;i.repaintGraph()};if(s){var o=s.fields[\"_canonical_uri\"];if(o){_utils2.default.getImgFromWeb(o,n)}else if(s.fields.text){r.src=$tw.utils.makeDataUri(s.fields.text,s.fields.type)}}else if(a){_utils2.default.getImgFromWeb(a,n)}}},{key:\"repaintGraph\",value:function e(){var t=$tw.utils.hasClass(this.document.body,\"tmap-has-fullscreen-widget\");if(this.network&&(!t||t&&this.enlargedMode)){this.logger(\"info\",\"Repainting the whole graph\");this.network.redraw();this.fitGraph(0,1e3)}}},{key:\"setGraphButtonEnabled\",value:function e(t,i){var a=\"vis-button tmap-\"+t;var s=_utils2.default.getFirstElementByClassName(a,this.domNode);$tw.utils.toggleClass(s,\"tmap-button-enabled\",i)}},{key:\"setNodesMoveable\",value:function e(t,i){if(!t||!t.length||this.view.isEnabled(\"physics_mode\")){return}var a=[];var s=!i;for(var r=t.length;r--;){a.push({id:t[r],fixed:{x:s,y:s}})}this.graphData.nodes.update(a);if(s){this.logger(\"debug\",\"Fixing\",a.length,\"nodes\");this.view.saveNodePositions(this.network.getPositions());this.isPreventZoomOnNextUpdate=true}}},{key:\"addGraphButtons\",value:function e(t){var i=_utils2.default.getFirstElementByClassName(\"vis-navigation\",this.domNode);for(var a in t){var s=this.document.createElement(\"div\");s.className=\"vis-button tmap-\"+a;s.addEventListener(\"click\",t[a].bind(this),false);i.appendChild(s);this.setGraphButtonEnabled(a,true)}}}]);return t}(_widget.widget);exports.tmap=MapWidget;exports.tiddlymap=MapWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/MapWidget.js.map\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/felixhayashi/tiddlymap/license": {
"title": "$:/plugins/felixhayashi/tiddlymap/license",
"subtitle": "License",
"caption": "License",
"text": "\\rules except wikilink\n\n!! TiddlyMap\n\nCopyright (c) 2014, Felix Küppers\nAll rights reserved.\n\nTiddlyMap is licensed under the [[BSD 2-Clause License|http://opensource.org/licenses/BSD-2-Clause]]. For the exact license terms, please visit [[https://github.com/felixhayashi/TW5-TiddlyMap/blob/master/LICENSE]]. \n\n!! TiddlyWiki\n\nCreated by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright © Jeremy Ruston 2004-2007 Copyright © UnaMesa Association 2007-2014\n\nPublished under the following [licenses](https://github.com/Jermolene/TiddlyWiki5/tree/master/licenses):\n\n# BSD 3-clause \"New\" or \"Revised\" License (including any right to adopt any future version of a license if permitted)\n# Creative Commons Attribution 3.0 (including any right to adopt any future version of a license if permitted)\n\n!! Vis.js\n\nCopyright (c) 2014 [Almende B.V.](https://github.com/almende/vis)\n\nPublished under the following licenses:\n\n# Apache License Version 2.0, January 2004 http://www.apache.org/licenses/\n# MIT License (MIT)\n"
},
"$:/plugins/felixhayashi/tiddlymap/readme": {
"title": "$:/plugins/felixhayashi/tiddlymap/readme",
"text": "* Please refer to the project-readme hosted at [[https://github.com/felixhayashi/TW5-TiddlyMap]].\n* A demo with several examples and explanations can be found at [[http://tiddlymap.org]]."
},
"$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tmap:unknown": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tmap:unknown",
"description": "Automatically assigned to an edge that does not have a type assigned",
"style": "{\"color\":\"gray\"}",
"show-label": "false"
},
"$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-body:link": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-body:link",
"description": "A link that is contained in the tiddler's body pointing to another resource.",
"style": "{\"color\":\"orange\", \"dashes\":true}",
"label": "links to",
"text": ""
},
"$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:list": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:list",
"description": "Contained in a list of this tiddler",
"style": "{ \"color\": \"red\", \"dashes\":true}",
"label": "listed in",
"text": ""
},
"$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:tags": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:tags",
"description": "A tag that refers to a tiddler of the same name.",
"style": "{ \"color\": \"darkslategray\", \"dashes\":true}",
"label": "tagged with"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/default": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/default",
"caption": "Overview",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-plain\">\n Please visit the [[online docs|http://tiddlymap.org/Documentation]]\n for more information about the available global options.\n</div>\n<table class=\"tmap-key-value-table\">\n <tr>\n <th align=\"left\">Plugin version</th>\n <td><<pluginVersion>></td>\n </tr>\n<!--\n <tr>\n <th align=\"left\">Datastructure version</th>\n <td><<dataStructureVersion>></td>\n </tr>\n-->\n <tr>\n <th align=\"left\">Nodes in system</th>\n <td><<numberOfNodes>></td>\n </tr>\n <tr>\n <th align=\"left\">Edges in system</th>\n <td><<numberOfEdges>></td>\n </tr>\n</table>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/editor": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/editor",
"caption": "Editor",
"text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n <<tmap-row type:\"input-checkbox\"\n title:\"Show Neighbour­hood menu\"\n field:\"config.sys.editorMenuBar.showNeighScopeButton\"\n descr:\"Show or hide the neighbourhood menu button.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Show Screen­shot menu\"\n field:\"config.sys.editorMenuBar.showScreenshotButton\"\n descr:\"Show or hide the screenshot menu button.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Show Raster­ menu\"\n field:\"config.sys.editorMenuBar.showRasterMenuButton\"\n descr:\"Show or hide the raster menu button.\">>\n</table>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/fields": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/fields",
"caption": "Field settings",
"text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n <<tmap-row type:\"input-text\"\n title:\"Node-icon field\"\n field:\"config.sys.field.nodeIcon\" \n descr:\"Local image used as node image in the graphs.\">>\n <<tmap-row type:\"input-text\"\n title:\"Node-label field\"\n field:\"config.sys.field.nodeLabel\" \n descr:\"Alternative node label to use instead of the title.\">>\n <<tmap-row type:\"input-text\"\n title:\"Node-info field\"\n field:\"config.sys.field.nodeInfo\" \n descr:\"Field used as tooltip when hovering over a node in a graph.\"\n note:\"It is prohibited to use the text field here.\">>\n</table> \n\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/interaction": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/interaction",
"caption": "Interaction & behaviour",
"text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n <$macrocall type=\"input-select\"\n $name=\"tmap-row\"\n title=\"Default startup view\"\n field=\"config.sys.defaultView\"\n nochoice=\"Last view used at startup\"\n selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n descr=\"The view to display at startup\" />\n <<tmap-row type:\"input-checkbox\"\n title:\"Show popups\"\n field:\"config.sys.popups.enabled\"\n descr:\"Set this to true if you want to see automatic\n popups in the map.\">>\n <$list filter=\"[config.sys.popups.enabled[true]]\">\n <<tmap-row type:\"input-text\"\n title:\"Popup delay\"\n field:\"config.sys.popups.delay\"\n descr:\"The time in miliseconds that needs to pass after\n a tooltip is triggered.\">>\n <<tmap-row type:\"input-text\"\n title:\"Popup width\"\n field:\"config.sys.popups.width\"\n descr:\"The default max-width of the popup.\"\n note:\"Make sure you added the desired unit (e.g. `px`).\n Requires a wiki refresh.\">>\n <<tmap-row type:\"input-text\"\n title:\"Popup height\"\n field:\"config.sys.popups.height\"\n descr:\"The default max-height of the popup.\"\n note:\"Make sure you added desired the unit (e.g. `px`).\n Requires a wiki refresh.\">>\n </$list>\n <<tmap-row type:\"input-checkbox\"\n title:\"Allow single click mode\"\n field:\"config.sys.singleClickMode\"\n descr:\"A single click on a node is sufficient to open the\n corresponding tiddler.\"\n note:\"Drag and drop will still work and does not cause a\n tiddler to be opened. Single click is never active in\n the map editor.\">>\n <<tmap-row type:\"input-select\"\n title:\"Edge click behaviour\"\n field:\"config.sys.edgeClickBehaviour\"\n selectFilter:\"[[nothing|Nothing]]\n [[manager|Open edge-type manager]]\"\n descr:\"What should happen when you click on an edge?\">>\n <<tmap-row type:\"input-select\" title:\"Raster size\" field:\"config.sys.raster\"\n selectFilter:\"[[|disabled]] [[5|5px]] [[10|10px]] [[15|15px]] [[20|20px]] [[30|30px]] [[40|40px]]\"\n descr:\"Snap nodes to an invisible raster of the given size after drag'n'drop.\"\n note:\"Only works when the view is not in floating mode\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Apply node-filter to neighbours\"\n field:\"config.sys.nodeFilterNeighbours\"\n descr:\"If checked, neighbours displayed in the map will be filtered\n by the view's node-filter. Otherwise the node-filter will only be used\n to filter the original set of nodes in the map\">>\n</table>\n\n!! Suppressed dialogs\n\n<div class=\"tmap-flash-message tmap-plain\">\n Dialogs that you decided to suppress in the past are listed here.\n Remove the checkmark to enable dialogs again.\n</div>\n\n<table class=\"tmap-config-table\">\n <$list\n filter=\"[<output>fields[]prefix[config.sys.suppressedDialogs]]\"\n emptyMessage=\"–\">\n <$set name=\"dialogName\" value=<<tmap basename \".\">>>\n <$macrocall $name=\"tmap-row\"\n type=\"input-checkbox\"\n title=\"Suppress '$(dialogName)$' dialog\"\n field=<<currentTiddler>> />\n </$set>\n <br />\n </$list>\n</table>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/liveTab": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/liveTab",
"caption": "Live tab",
"text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n <<tmap-row type:\"input-checkbox\"\n title:\"Show Live tab\"\n field:\"liveTab\" \n descr:\"Show or hide the live tab in the sidebar.\">>\n <$macrocall type=\"input-select\"\n $name=\"tmap-row\"\n title=\"Fallback view\"\n field=\"config.sys.liveTab.fallbackView\" \n selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n descr=\"The view to display in the sidebar's live tab in\n case the current tiddler did not specify a view\n to open.\" />\n</table>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig",
"subtitle": "{{$:/core/images/options-button}} Global configuration of TiddlyMap",
"classes": "tmap-remove-top-space",
"text": "\\rules except wikilink\n\n<$macrocall $name=\"tabs\"\n default=<<concat \"$(template)$/default\">>\n tabsList=\"[all[shadows]prefix<template>] -[<template>]\"\n/>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/verbosity": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/verbosity",
"caption": "Verbosity",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-plain\">\n Here you can restrict the system's talkativeness.\n</div>\n\n<table class=\"tmap-config-table\">\n <<tmap-row type:\"input-checkbox\"\n title:\"Debug output\"\n field:\"config.sys.debug\" \n descr:\"Set this to true if you want debug information to be\n displayed in the browser console.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Show notifications\"\n field:\"config.sys.notifications\" \n descr:\"Set this to true if you want to receive fade-out\n notifications for important events.\">>\n</table> "
},
"$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/vis": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/vis",
"classes": "tmap-remove-top-space",
"caption": "Graph",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n The global vis configurations will affect all views and their\n elements (nodes and edges) unless they are overridden on a lower\n level. All options below are documented at\n [[vis.js.org|http://visjs.org/docs/network]].\n</div>\n<div class=\"tmap-flash-message tmap-info\">\n Only config items that you actually changed have an effect on\n the graph. Other options are visible, yet, inactive.\n</div>\n<$tmap-config\n mode=\"manage-config\"\n inherited=\"inherited-style\"\n extension=\"config.vis\" />\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/configureView/default": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/default",
"caption": "Overview",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n All configurations __only__ affect this view.\n</div>\n\n<table class=\"tmap-key-value-table\">\n <tr>\n <th align=\"left\">Created on</th>\n <td><<createdOn>></td>\n </tr>\n <tr>\n <th align=\"left\">Nodes contained in graph</th>\n <td><<numberOfNodes>></td>\n </tr>\n <tr>\n <th align=\"left\">Edges contained in graph</th>\n <td><<numberOfEdges>></td>\n </tr>\n</table>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/configureView/editFilters": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/editFilters",
"caption": "Edit filters",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n Completely new to filters? Please read\n [[Introduction to filter notation|http://tiddlywiki.com/#Introduction%20to%20filter%20notation]]\n first.\n</div>\n\n<fieldset>\n <legend>Filters <sup>[1]</sup></legend>\n <table class=\"tmap-config-table tmap-large-input\">\n <<tmap-row type:\"input-textarea\"\n title:\"Node filter\"\n field:\"filter.prettyNodeFltr\"\n descr:\"In the map, only those tiddlers that match this filter\n are shown. Drafts and system tiddlers are automatically\n excluded.\">>\n <<tmap-row type:\"input-textarea\"\n title:\"Edge-type filter\"\n field:\"filter.prettyEdgeFltr\" \n descr:\"Only edges with a type that matches the filter are shown.\">>\n </table> \n</fieldset>\n\n---\n\n<sup>[1]</sup> In the editors above, a new line is equivalent to a space symbol.<br />\n<sup>[2]</sup> It is suggested to read\n[[Node and edge-type filters|http://tiddlymap.org#Node%20and%20edge-type%20filters]]\nand [[Edge-type namespaces|http://tiddlymap.org#Node%20and%20edge-type%20filters]]\nbefore using Tiddlymap's filter editor."
},
"$:/plugins/felixhayashi/tiddlymap/dialog/configureView/layout": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/layout",
"caption": "Layout",
"text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n <<tmap-row type:\"input-checkbox\"\n title:\"Floating nodes\"\n field:\"config.physics_mode\"\n descr:\"Set this to true if you want your nodes to freely\n swirl around.\">>\n <<tmap-row type:\"input-text\"\n title:\"Background image\"\n field:\"config.background_image\"\n descr:\"The title of an image tiddler to be used as background\n in the view.\"\n note:\"You can also use an image url directly, however, the\n image needs be stored under the same domain as your wiki.\n Otherwise, it won't be displayed!\">>\n</table>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/configureView/namespace": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/namespace",
"caption": "Namespace",
"text": "\\rules except wikilink\n\n<table class=\"tmap-config-table tmap-small-input\">\n <<tmap-row type:\"input-text\"\n title:\"Edge-type namespace\"\n field:\"config.edge_type_namespace\" \n descr:\"A namespace (like `foaf` in `foaf:knows`) that will be\n automatically added to all edge types you create in\n this view. The namespace is only added if the types\n do not exist yet and do not have a namespace assigned yet.\n Namespaces are always hidden in the graph.\"\n note:\"Most likely, you don't want the edges created with this\n namespace to leak into other views, moreover, you don't\n want edges that do not possess the namespace ever to be\n shown here. In this case, use a private marker (`_`)\n in front of your namespace, e.g. `_mynamespace` and use\n an appropriate edge type filter, i.e. `+[prefix[_mynamespace]]`\n For further information see:\n \n * [[Edge-type namespaces|http://tiddlymap.org/#Edge-type%20namespaces]]\n * [[Private edge types|http://tiddlymap.org/#Private%20edge%20types]]\n \">>\n</table>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/configureView": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView",
"subtitle": "{{$:/core/images/options-button}} View configuration -- <<view>>",
"text": "\\rules except wikilink\n\n\\define privateEdgeTypes() [[private edge-types|http://tiddlymap.org/#Private%20edge%20types]]\n\n<$macrocall $name=\"tabs\"\n default=<<concat \"$(template)$/default\">>\n tabsList=\"[all[shadows]prefix<template>] -[<template>]\"\n/>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/configureView/vis": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/vis",
"caption": "Graph",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n The local vis configurations will affect all\n elements (nodes and edges) of this view, unless they are\n overridden on a lower level. All options below are documented at\n [[vis.js.org|http://visjs.org/docs/network]].\n</div>\n<div class=\"tmap-flash-message tmap-info\">\n Only config items that you actually changed have an effect on the\n graph. Other options are visible, yet, inactive.\n</div>\n<$tmap-config\n mode=\"manage-config\"\n inherited=\"inherited-style\"\n extension=\"config.vis\" />\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/getEdgeType": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/getEdgeType",
"subtitle": "{{$:/plugins/felixhayashi/tiddlymap/icon}} Edge type specification",
"text": "\\rules except wikilink\n\\rules except underscore\n\n\\define filter() $(allEdgeTypes)$ +[search:title[$(term)$]]\n\n\\define badge(color, label, tooltip)\n<span style=\"background: $color$\" title=\"$tooltip$\">$label$</span>\n\\end\n\n\\define badges()\n<$tiddler tiddler={{!!text}}>\n<$set name=\"id\" value=<<tmap \"getETyId\" \"$(view)$\">>>\n<$set name=\"isVisible\" value=<<tmap \"isETyVisible\" \"$(view)$\">>>\n<div class=\"tmap-badges\">\n <span\n style=\"background: darkslategray\"\n title=\"Your input translates into this id.\">\n <<id>>\n </span>\n <$list filter=\"[<isVisible>regexp[true]]\">\n <<badge \"green\" \"visible\" \"Matches your view's filter\">>\n </$list>\n <$list filter=\"[<isVisible>regexp[false]]\">\n <<badge \"red\" \"not visible\" \"Doesn't match your view's filter\">>\n </$list>\n <$list filter=\"[<id>!regexp[^tmap:unknown$]]\" variable=\"item\">\n <$list filter=\"[<id>regexp[^_]]\">\n <<badge \"purple\" \"private\" \"Not shown in other views per default\">>\n </$list>\n <$list filter=\"[<id>regexp[.+:.+]]\">\n <<badge \"orange\" \"namespace\" \"This type is prefixed with a proper namespace\">>\n </$list>\n </$list>\n</div>\n</$set>\n</$set>\n</$tiddler>\n\\end\n\n\\define search()\n<p>\n You are about to connect \"<$text text=\"$(fromLabel)$\" />\"\n with \"<$text text=\"$(toLabel)$\" />\". Please specify a type.\n</p>\n<table id=\"tmap-search-table\">\n <tr>\n <td><b>Type:</b></td>\n <td>\n <$edit-text\n focus=\"true\"\n field=\"text\"\n type=\"text\"\n tag=\"input\"\n default=\"\"\n class=\"tmap-trigger-field\n tmap-triggers-ok-button-on-enter\n tmap-triggers-cancel-button-on-esc\" />\n <<badges>>\n </td>\n </tr>\n <tr>\n <td></td>\n <td>\n <$set name=\"term\" value={{!!text}}>\n <$set name=\"allEdgeTypes\" value=<<tmap \"option\" \"selector.allEdgeTypesById\">>>\n <ul class=\"tmap-small-list\">\n <$list filter=<<filter>>>\n <li>\n <$button class=\"tc-btn-invisible tmap-link\">\n <$view field=\"title\" />\n <$action-setfield $tiddler=<<output>> text={{!!title}} />\n </$button>\n </li>\n </$list>\n </ul>\n </$set>\n </$set>\n </td>\n </tr>\n</table>\n\\end\n\n<$list filter=\"[<temp>!has[more]]\" variable=\"item\"><<search>></$list>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/addNodeToMap": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/addNodeToMap",
"subtitle": "{{$:/core/images/tag-button}} Add node",
"classes": "tmap-modal-add-node",
"text": "\\rules except wikilink\n\n\\define backButtonText() back to list\n\\define outputAndTemplate() [[$(output)$]] [[$(template)$]]\n\n\\define editor()\n <$button class=\"tmap-go-back tc-btn-invisible\">\n {{$:/core/images/chevron-left}} <<backButtonText>>\n <$action-deletefield $tiddler=<<temp>> more template />\n <$action-sendmessage\n $message=\"tmap:tm-clear-tiddler\"\n keep=\"draft.title\"\n title=<<output>> />\n </$button>\n\n <$list filter=\"[<output>get[draft.title]is[tiddler]]\">\n <div class=\"tmap-flash-message tmap-warning\">\n Tiddler already exists! Use another title or click\n \"<<backButtonText>>\" to cancel your edit.\n </div>\n </$list>\n\n <div class=\"tmap-modal-editor\">\n <table class=\"tmap-config-table\">\n <tr class=\"tmap-template-select\">\n <td>Template</td>\n <td>\n <$select\n tiddler=<<temp>>\n field=\"template\">\n <option value=\"\"></option>\n <$list filter=<<tmap \"option\" \"selector.allPotentialNodes\">>>\n <option><$view field=\"title\" /></option>\n </$list>\n </$select>\n <$button>Load\n <$action-sendmessage\n $message=\"tmap:tm-clear-tiddler\"\n keep=\"draft.title\"\n title=<<output>> />\n <$list filter=\"[<temp>get[template]]\" variable=\"template\">\n <$action-sendmessage\n $message=\"tmap:tm-merge-tiddlers\"\n tiddlers=<<outputAndTemplate>>\n output=<<output>> />\n <$action-deletefield $tiddler=<<output>> tmap.id tmap.edges />\n </$list>\n </$button>\n </td>\n <td>Press the \"load\" button to activate the template.</td>\n </tr>\n </table>\n <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/core/macros/]]\">\n <$set name=\"currentTiddler\" value=<<output>>>\n <$transclude tiddler=\"$:/core/ui/EditTemplate\" mode=\"block\" />\n </$set>\n </$importvariables>\n </div>\n\\end\n\n\\define search()\n<p>Add an existing tiddler to the map or create a new one.</p>\n<table id=\"tmap-search-table\">\n <tr>\n <td><b>Title:</b></td>\n <td>\n <$edit-text\n tiddler=<<output>>\n field=\"draft.title\"\n focus=\"true\"\n type=\"text\"\n tag=\"input\"\n default=\"\"\n class=\"tmap-trigger-field\n tmap-triggers-ok-button-on-enter\n tmap-triggers-cancel-button-on-esc\" />\n <$list filter=\"[<output>get[draft.title]!is[tiddler]]\">\n <$button\n tooltip=\"The tiddler does not exist yet and you may edit it\n before it is added to the map\">\n {{$:/core/images/edit-button}}\n <$action-setfield $tiddler=<<temp>> more=\"true\" />\n </$button> <sup>[1]</sup>\n </$list>\n </td>\n </tr>\n <tr>\n <td></td>\n <td>\n <$set name=\"term\" value={{!!draft.title}}>\n <ul class=\"tmap-small-list\">\n <$list filter=\"[search:title<term>!is[system]!has[draft.of]]\">\n <li>\n <$button class=\"tc-btn-invisible tmap-link\">\n <$view field=\"title\" />\n <$action-setfield $tiddler=<<output>> draft.title={{!!title}} />\n </$button>\n </li>\n </$list>\n </ul>\n </$set>\n </td>\n </tr>\n</table>\n\n<$list filter=\"[<output>get[draft.title]!is[tiddler]]\">\n<hr />\n<sup>[1]</sup>\n<small>\n The tiddler does not exist yet and you may edit it\n before it is added to the map\n</small>\n</$list>\n\\end\n\n<$list filter=\"[<temp>!has[more]]\" variable=\"item\"><<search>></$list>\n<$list filter=\"[<temp>has[more]]\" variable=\"item\"><<editor>></$list>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/cannotDeleteViewDialog": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/cannotDeleteViewDialog",
"subtitle": "{{$:/core/images/locked-padlock}} You cannot delete this view!",
"buttons": "ok",
"text": "\\rules except wikilink\n\nIt is not possible to delete the current view as ''<<count>>'' tiddlers\nare referencing it. To delete the view you must first remove the tiddlymap\nwidgets in the tiddlers listed below or change their view attributes.\n\n''References''\n\n<ul>\n<$list filter=<<refFilter>> variable=\"item\">\n <li><$link><<item>></$link></li>\n</$list>\n</ul>\n\nAfter the references are removed, you may delete the view.\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/getConfirmation": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/getConfirmation",
"subtitle": "{{$:/core/images/import-button}} You must confirm in order to proceed!",
"text": "\\rules except wikilink\n\n<<message>>\n\n''Are you really sure you want to do this?''"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/createView": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/createView",
"subtitle": "{{$:/core/images/new-button}} Creating a new view",
"text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n <<tmap-row type:\"input-text\"\n title:\"View name\"\n field:\"name\"\n focus:\"true\"\n class:\"tmap-trigger-field\n tmap-triggers-ok-button-on-enter\n tmap-triggers-cancel-button-on-esc\"\n descr:\"The name for the new view. If no name is entered,\n the program will invent one for you.\"\n note:\"You cannot override an existing view. In this case,\n you need to delete the old view first! You must no use\n slashes (`/`) in the name.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Clone view\"\n field:\"clone\"\n descr:\"Use the view that is currently displayed in the\n editor as blueprint. The view will be an __exact__\n clone of the current one, only with a different\n name.\">>\n</table>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/deleteNodeDialog": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/deleteNodeDialog",
"subtitle": "{{$:/core/images/delete-button}} You are about to delete <<count>> nodes",
"text": "\\rules except wikilink\n\n''Please choose an option or abort:''\n\n<$radio tiddler=<<output>> field=\"delete-from\" value=\"system\">\n Delete nodes from system <sup>[1]</sup>\n</$radio><br />\n<$radio tiddler=<<output>> field=\"delete-from\" value=\"filter\">\n Delete nodes from graph's filter <sup>[2]</sup>\n</$radio>\n\nThe following nodes will be deleted:\n\n<ul>\n<$list filter=<<tiddlers>>>\n <li><$view tiddler={{!!title}} field=\"title\" /></li>\n</$list>\n</ul>\n\n---\n\n<sup>[1]</sup>\n<small>This will delete all nodes, their corresponding tiddlers and all connected edges.</small><br/>\n<sup>[2]</sup>\n<small>''Important:'' Removing a node from the graph's filter only works, if the node has been added in the map editor per double click or via \"Add Node\". If the node hasn't been added as mentioned above, you need to change the underlying tiddler in a way that it doesn't match your filter anymore, if you don't want it to be displayed in the graph.</small>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/dublicateIdInfo": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/dublicateIdInfo",
"subtitle": "{{$:/core/images/info-button}} Dublicate id detected",
"buttons": "ok_suppress",
"text": "\\rules except wikilink\n\nTiddlyMap requires the value of the id field (\"tmap.id\") to be\nunique in order to correctly identify nodes and tiddlers.\n\nThe id of the \"<<param.changedTiddler>>\" already exists for these tiddlers:\n\n<ul>\n<$list filter=<<param.filter>> variable=\"item\">\n <li><$link><<item>></$link></li>\n</$list>\n</ul>\n\nTherefore TiddlyMap\n\n* assigned a new id to tiddler \"<<param.changedTiddler>>\"\n* removed all edges from \"<<param.changedTiddler>>\"\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/edgeNotVisible": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/edgeNotVisible",
"subtitle": "{{$:/core/images/info-button}} Edge will not be visible in view \"<<view>>\"",
"buttons": "ok_suppress",
"text": "\\rules except wikilink\n\nYou just created an edge of type\n<code><$text text=<<type>> /></code> that will not be\nvisible in this view because it doesn't match your\nedge-type filter settings.\n\nThe current edge-type filter of view \"<<view>>\" looks like this:\n\n<pre><code><$text text=<<eTyFilter>> /></code></pre>\n\nTo have the newly added type displayed in your view, adjust your\nedge-type filter accordingly. \n\nSome suggestions:\n\n<ul>\n <li>\n Explicitly add the type to the filter:\n <code><$text text=\"[[\" /><$text text=<<type>> /><$text text=\"]]\" /></code>\n </li>\n <li>\n <$set\n filter=\"[<type>regexp[:]splitbefore[:]]\"\n name=\"prefix\"\n emptyValue=<<tmap halfOfString \"$(type)$\">>>\n Add a filter rule (e.g. a prefix filter) that will match\n your type: <code>[prefix[<<prefix>>]]</code>\n </$set>\n </li>\n <li>Make your current view-filter less restrictive.</li>\n</ul>\n\nFor further information, please see:\n[[Node and edge-type filters|http://tiddlymap.org#Node%20and%20edge-type%20filters]]."
},
"$:/plugins/felixhayashi/tiddlymap/dialog/editNode/default": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/editNode/default",
"caption": "Global node style",
"classes": "tmap-remove-top-space",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n A node's ''global configuration''\n (also referred to as //global individual config//) defines its\n individual appearance and behaviour in all views.\n</div>\n<<maybeShowTidColorWarning>>\n\n<$macrocall $name=\"sharedSettings\"\n twIconField=<<tidIconField>>\n faIconField=\"global.tmap.fa-icon\"\n labelField=<<tidLabelField>> />\n\n<$macrocall $name=\"visConfiguration\"\n mode=\"manage-node-types\"\n extensionField=\"global.tmap.style\"\n styleName=\"node's global style\"\n inheritedList=\"[[inherited-global-default-style]]\n [[inherited-local-default-style]]\n [[inherited-group-styles]]\" />\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/editNode/local": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/editNode/local",
"caption": "Local node style",
"classes": "tmap-remove-top-space",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n The ''local node configuration''\n (also referred to as //view-specific node configuration//)\n overrides the //global individual configuration// and only affects\n the node's appearance and behaviour in the current view.\n</div>\n<<maybeShowTidColorWarning>>\n\n<fieldset>\n <legend>Behaviour</legend>\n <table class=\"tmap-config-table\">\n <$macrocall type=\"input-select\"\n $name=\"tmap-row\"\n title=\"Open view\"\n field=\"local.open-view\"\n nochoice=\"Disabled\"\n selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n descr=\"Clicking on this node will open the specified\n view instead of the tiddler represented by this node.\" />\n </table>\n</fieldset>\n\n<$macrocall $name=\"sharedSettings\"\n twIconField=\"local.tw-icon\"\n faIconField=\"local.fa-icon\"\n labelField=\"local.label\" />\n\n<$macrocall $name=\"visConfiguration\"\n mode=\"manage-node-types\"\n extensionField=\"local-individual-node-style\"\n styleName=\"node's local style\"\n inheritedList=\"[[inherited-global-default-style]]\n [[inherited-local-default-style]]\n [[inherited-group-styles]]\n [[global.tmap.style]]\" />\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/editNode": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/editNode",
"subtitle": "{{$:/core/images/edit-button}} Editing style of node \"<<tiddler>>\"",
"classes": "tmap-remove-top-space",
"text": "\\rules except wikilink\n\n\\define maybeShowTidColorWarning()\n <$list filter=\"[<tidColor>regexp[.+]]\">\n <div class=\"tmap-flash-message tmap-warning\">\n You have set the tiddler's color\n field to \"<<tidColor>>\". This value will be completely ignored\n when you change node's color properties in the vis editor below.\n </div>\n </$list>\n\\end\n\n\\define iconSettings(twIconField, faIconField)\n <fieldset>\n <legend>Icon Settings</legend>\n <table class=\"tmap-config-table\">\n <<tmap-row type:\"input-text\"\n title:\"TW-icon\"\n field:\"$twIconField$\"\n descr:\"A tiddlywiki image reference.\n For example '$:/core/icon' for Movotun Jack.\">>\n <<tmap-row type:\"input-text\"\n title:\"FA-icon\"\n field:\"$faIconField$\"\n descr:\"A Font Awesome icon code.\n For example 'f206' for the bicycle symbol.\">>\n </table>\n </fieldset>\n\\end\n\n\\define sharedSettings(twIconField, faIconField, labelField)\n <fieldset>\n <legend>General Settings</legend>\n <table class=\"tmap-config-table\">\n <<tmap-row type:\"input-text\"\n title:\"Label\"\n field:\"$labelField$\"\n descr:\"Use this value as node label.\">>\n </table>\n </fieldset>\n <!-- display icon fieldset -->\n <<iconSettings \"$twIconField$\" \"$faIconField$\">> \n\\end\n\n<$macrocall\n $name=\"tabs\"\n default=<<concat \"$(template)$/default\">>\n tabsList=\"[all[shadows]prefix<template>] -[<template>]\"\n/>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/draft": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/draft",
"caption": "Draft",
"text": "\\rules except wikilink\n\n<div class=\"tmap-modal-editor\">\n <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/core/macros/]]\">\n <$set name=\"currentTiddler\" value=<<draftTRef>> >\n <$transclude tiddler=\"$:/core/ui/EditTemplate\" field=\"text\" mode=\"block\" />\n </$set>\n </$importvariables>\n</div>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/original": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/original",
"caption": "Current Version",
"text": "\\rules except wikilink\n\n<div class=\"tmap-modal-editor\">\n <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/core/macros/]]\">\n <$set name=\"currentTiddler\" value=<<originalTRef>> >\n <$transclude tiddler=\"$:/core/ui/ViewTemplate\" field=\"text\" mode=\"block\" />\n </$set>\n </$importvariables>\n</div>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor",
"subtitle": "{{$:/core/images/edit-button}} <<originalTRef>>",
"classes": "tmap-modal-fullscreen-editor tmap-remove-top-space",
"text": "\\rules except wikilink\n\n\\define defaultTab() $:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/original\n\n<$macrocall $name=\"tabs\"\n default=<<defaultTab>>\n tabsList=\"[all[shadows]prefix[$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/]]\" />"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/fieldChanged": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/fieldChanged",
"subtitle": "{{$:/core/images/info-button}} The field \"<<name>>\" changed",
"text": "\\rules except wikilink\n\nYou changed the field \"<<name>>\" from \"<<oldValue>>\" to \"<<newValue>>\".\n\nIt is recommended to let TiddlyMap copy all values from the former field \"<<oldValue>>\" to the new field \"<<newValue>>\" so the data stored in \"<<oldValue>>\" is not lost. This operation has to be done now or never.\n\nDo you want to move each tiddler's existing \"<<oldValue>>\" value to \"<<newValue>>\"? Please note that any value currently stored in \"<<newValue>>\" would consequently be overridden and the old field \"<<oldValue>>\" would be eventually removed!"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenNotSupported": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenNotSupported",
"subtitle": "{{$:/core/images/info-button}} Your machine does not support fullscreen",
"buttons": "ok_suppress",
"text": "\\rules except wikilink\n\nPlease have a look [[here|http://caniuse.com/#feat=fullscreen]] to see a list of supported devices/browsers.\n\nSorry for this :("
},
"$:/plugins/felixhayashi/tiddlymap/dialog/renameView": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/renameView",
"subtitle": "{{$:/core/images/tag-button}} Please specify a view name",
"text": "\\rules except wikilink\n\n''Name:''\n<$edit-text focus=\"true\" tiddler=<<output>> field=\"text\" type=\"text\" tag=\"input\" default=\"\"\n class=\"tmap-trigger-field tmap-triggers-ok-button-on-enter\" />\n\nNote that ''<<count>>'' tiddlers are referencing this view.\n\n<$reveal type=\"nomatch\" text=\"0\" default=<<count>>>\n\nRenaming the view will cause the reference to be invalid.\nIt is recommended to first remove the tiddlymap widgets in\nthe tiddlers listed below or change their view attributes\naccordingly.\n\n''References''\n\n<ul>\n<$list filter=<<refFilter>> variable=\"item\">\n <li><$text text=<<item>> /></li>\n</$list>\n</ul>\n\n</$reveal>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/saveCanvas": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/saveCanvas",
"subtitle": "{{$:/core/images/options-button}} Save a snapshot image of view \"<<view>>\"",
"text": "\\rules except wikilink\n\n\\define preview()\n<div class=\"tmap-save-canvas-preview\">\n <$transclude tiddler=<<snapshot>> /><br />\n Measures: <<width>> × <<height>>\n</div>\n\\end\n\n<table class=\"tmap-config-table\">\n<!--\n <<tmap-row type:\"input-text\"\n title:\"Name\"\n field:\"name\">\n-->\n<$macrocall $name=\"tmap-row\"\n type=\"input-text\"\n title=\"Name\"\n field=\"name\"\n descr=<<preview>> />\n</table>\n\n<fieldset><legend>Options</legend>\n <table class=\"tmap-config-table\">\n <<tmap-row type:\"input-radio\"\n title:\"Action\"\n field:\"action\" \n selectFilter:\"[[download|Download]]\n [[wiki|Save in wiki]]\n [[placeholder|Use as placeholder for this view]]\"\n descr:\"Save the image by downloading it to your computer or\n save it as a tiddler in your wiki.<br /><br />\n A third option is to make TiddlyMap use this image as\n placeholder for the current view. Placeholders are used\n when tiddlers are exported in form of static html\n or when editing a tiddler while having the preview\n shown. In this case the title input is ignored.\">>\n </table>\n</fieldset>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog",
"text": "\\rules except wikilink\n\n<div class=<<classes>>>\n<$importvariables\n filter=\"[[$:/plugins/felixhayashi/tiddlymap/misc/macros]]\n [[$:/core/macros/tabs]]\">\n<$transclude tiddler=<<template>> mode=\"block\" />\n</$importvariables>\n</div>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/welcome": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/welcome",
"subtitle": "{{$:/core/images/info-button }} Welcome",
"buttons": "ok",
"text": "\\rules except wikilink\n\nIt seems that you freshly installed TiddlyMap.\n\n* In case you need any help, please consult the [[online docs|http://tiddlymap.org#Documentation]] first.\n* You are welcome to create an [[issue|https://github.com/felixhayashi/TW5-TiddlyMap/issues]] at GitHub for any bug you discover.\n* Make sure to revisit the [[demo site|http://tiddlymap.org]] to see whether your version is up-to-date.\n* If you like TiddlyMap, please give it a star at [[GitHub|https://github.com/felixhayashi/TW5-TiddlyMap]] or tell your friends about it :)\n* ''Please note:'' TiddlyMap is distributed under the [[BSD 2-Clause License|http://opensource.org/licenses/BSD-2-Clause]], which belongs to the same license family, as the license used by TiddlyWiki. By using this plugin you agree to the product's [[License Terms|https://github.com/felixhayashi/TW5-TiddlyMap/blob/master/LICENSE]].\n\nEnjoy!\n\n---\n\nTiddlyMap will configure your wiki for optimal use. Everything can be changed back later by you, via the TiddlyWiki configurations panel, so no worries. If you checked some of the options below, please save & restart after closing this dialog.\n\n<table class=\"tmap-config-table\">\n <<tmap-row type:\"input-checkbox\"\n title:\"Optimize storyview\"\n field:\"config.storyview\"\n descr:\"Sets the storyview to 'top' for optimal scrolling.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Optimize sidebar\"\n field:\"config.sidebar\"\n descr:\"Sets sidebar layout to 'fixed-fluid' for larger editor.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Optimize navigation\"\n field:\"config.navigation\"\n descr:\"Sets navigation style to open tiddlers at top for better map navigation.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Create demo welcome map\"\n field:\"config.demo\"\n descr:\"Creates a little hello world welcome map for you.\">>\n</table>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/widgetCodeGenerator": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/widgetCodeGenerator",
"subtitle": "{{$:/core/images/permalink-button}} Widget Code Generator",
"buttons": "close",
"text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n Use the code below to embed a view in a tiddler.\n</div>\n\n<pre style=\"white-space: normal;\">\n<$tmap\n\n<$list filter=\"[<output>has[var.view]]\">\n view=\"<$view field='var.view' />\"</$list>\n<$list filter=\"[<output>field:var.click-to-use[true]]\">\n click-to-use=\"true\"</$list>\n<$list filter=\"[<output>has[var.editor]]\">\n editor=\"<$view field='var.editor' />\"</$list>\n<$list filter=\"[<output>has[var.width]]\">\n width=\"<$view field='var.width' />\"</$list>\n<$list filter=\"[<output>has[var.height]]\">\n height=\"<$view field='var.height' />\"</$list>\n<$list filter=\"[<output>has[var.class]]\">\n class=\"<$view field='var.class' />\"</$list>\n<$list filter=\"[<output>field:var.show-buttons[false]]\">\n show-buttons=\"false\"</$list>\n<$list filter=\"[<output>has[var.design]]\">\n design=\"<$view field='var.design' />\"</$list>></$tmap>\n</pre>\n\n<fieldset>\n <legend>Parameters</legend> \n <table class=\"tmap-config-table\">\n <$macrocall type=\"input-select\"\n $name=\"tmap-row\"\n title=\"View\"\n field=\"var.view\"\n nochoice=\" \"\n selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n descr=\"The view to bind the wiedget to\" />\n <<tmap-row type:\"input-select\"\n title:\"Editor bar\"\n field:\"var.editor\"\n selectFilter:\"[[|Hidden]]\n [[vis|Simple]]\n [[advanced|Advanced]]\"\n descr:\"Whether the widget should act as an editor or not.\">>\n <<tmap-row type:\"input-select\"\n title:\"Design\"\n field:\"var.design\"\n selectFilter:\"[[|Normal]]\n [[plain|Plain]]\"\n descr:\"Usually a header is displayed and borders. Plain\n design will only show the mere graph.\">>\n <<tmap-row type:\"input-text\"\n title:\"Height\"\n field:\"var.height\"\n descr:\"Graph's height in css units. Defaults to '300px'.\">>\n <<tmap-row type:\"input-text\"\n title:\"Width\"\n field:\"var.width\"\n descr:\"Graph's width in css units. Defaults to '100%'.\">>\n <<tmap-row type:\"input-text\"\n title:\"Class\"\n field:\"var.class\"\n descr:\"A custom class to apply your own css.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Click to use\"\n field:\"var.click-to-use\"\n default:\"false\"\n descr:\"A click is needed to enable the graph.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Show buttons\"\n field:\"var.show-buttons\"\n default:\"true\"\n descr:\"Show or hide the graph's navigation buttons.\">>\n </table>\n</fieldset>"
},
"$:/plugins/felixhayashi/tiddlymap/dialogFooter/close": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/close",
"text": "\\rules except wikilink\n\n<$button class=\"tmap-dialog-button tmap-close-button\" tooltip=\"Close this dialog\">Close\n\n <!-- trigger dialog callback -->\n <$action-setfield $tiddler=<<result>> text=\"1\" />\n \n</$button>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok",
"text": "\\rules except wikilink\n\n<$button class=\"tmap-dialog-button tmap-ok-button\" tooltip=\"Confirm dialog\">OK\n\n <!-- trigger dialog callback -->\n <$action-setfield $tiddler=<<result>> text=\"1\" />\n \n</$button>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_cancel": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_cancel",
"text": "\\rules except wikilink\n\n<$transclude tiddler=\"$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok\" mode=\"inline\" />\n<$button class=\"tmap-dialog-button tmap-cancel-button\" tooltip=\"Close dialog without saving\">Cancel\n <!-- trigger dialog callback -->\n <$action-setfield $tiddler=<<result>> text=\"\" />\n</$button>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_suppress": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_suppress",
"text": "\\rules except wikilink\n\n<$set name=\"currentTiddler\" value=<<title>> >\n\n<$checkbox field=\"suppress\" checked=\"1\" unchecked=\"0\" default=\"0\"> Do not show this dialog again</$checkbox>\n<$button class=\"tmap-dialog-button tmap-ok-button\" tooltip=\"Confirm this dialog\">OK\n\n <!-- trigger dialog callback -->\n <$action-setfield $tiddler=<<result>> text=\"1\" />\n \n <!-- suppress dialog in the future -->\n <$action-sendmessage $message=\"tmap:tm-suppress-dialog\"\n dialog=<<templateId>>\n suppress={{!!suppress}} />\n \n</$button>\n\n</$set>"
},
"$:/plugins/felixhayashi/tiddlymap/dialogFooter": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter",
"text": "\\rules except wikilink\n\n\\define footer() $:/plugins/felixhayashi/tiddlymap/dialogFooter/$(buttons)$\n\n<$transclude tiddler=<<footer>> />\n\n<!-- we need this button to be able to close a tiddler from outside programmatically -->\n<$button class=\"tmap-hidden-close-button\" message=\"tm-close-tiddler\" />"
},
"$:/plugins/felixhayashi/tiddlymap/dialogFooter/element_type_manager": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/element_type_manager",
"text": "\\rules except wikilink\n\n<$button\n class=\"tmap-dialog-button tmap-save-button\"\n tooltip=\"Save the current changes\">Save\n <$action-sendmessage\n $message=\"tmap:tm-save-type-form\"\n mode=<<mode>>\n output=<<output>> />\n</$button>\n<$button\n class=\"tmap-dialog-button tmap-cancel-button\"\n tooltip=\"Cancel the most resent changes and exit\">Quit\n <$action-setfield $tiddler=<<result>> text=\"1\" />\n</$button>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/deleteType": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/deleteType",
"caption": "Removal",
"text": "\\rules except wikilink\n\n\\define manage-edge-types()\n <$macrocall $name=\"tmap-row\"\n type=\"input-checkbox\"\n title=\"Delete type\"\n field=\"temp.deleteType\"\n default={{!id}}\n readonly={{!!temp.idImmutable}}\n descr=\"If you want to delete this type, set this to true\n and click the save button afterwards. Predefined system\n types cannot be deleted.\" note=\"Consequently, all edges\n of this type will be deleted.\" />\n\\end\n\n\\define manage-node-types()\n <$macrocall $name=\"tmap-row\"\n type=\"input-checkbox\"\n title=\"Delete type\"\n field=\"temp.deleteType\"\n default={{!id}}\n readonly={{!!temp.idImmutable}}\n descr=\"If you want to delete this type, set this to true and\n click the save button afterwards. Predefined system\n types cannot be deleted.\" />\n\\end\n\n<table class=\"tmap-config-table\"><$macrocall $name=<<mode>> /></table>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/description": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/description",
"caption": "Description",
"text": "\\rules except wikilink\n\n\\define manage-edge-types()\n <<tmap-row type:\"input-textarea\"\n title:\"Description\"\n field:\"description\"\n descr:\"An optional description for this type. The\n description will be displayed as tooltip when\n moving the mouse over an edge of this type.\">>\n\\end\n\n\\define manage-node-types()\n <<tmap-row type:\"input-textarea\"\n title:\"Description\"\n field:\"description\" \n descr:\"An optional description for this type.\">>\n\\end\n\n<table class=\"tmap-config-table\">\n <$macrocall $name=<<mode>> />\n</table>\n\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/generalSettings": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/generalSettings",
"caption": "General",
"text": "\\rules except wikilink\n\n\\define manage-edge-types()\n <<tmap-row type:\"input-text\"\n title:\"Label\"\n field:\"label\" \n descr:\"An optional alias used as edge-label.\">>\n <<tmap-row type:\"input-checkbox\"\n title:\"Show label\"\n field:\"show-label\"\n default:\"true\"\n descr:\"If unchecked, no edge label will be displayed.\">>\n\\end\n\\define manage-node-types()\n <$list filter=\"[<currentTiddler>!regexp:id[tmap:]]\">\n <<tmap-row type:\"input-textarea\"\n title:\"Scope\"\n field:\"scope\" \n descr:\"A filter expression that defines, which nodes inherit\n this node-type and its style.\">>\n </$list>\n <$macrocall type=\"input-select\"\n $name=\"tmap-row\" \n title=\"Priority\"\n field=\"priority\"\n selectFilter=<<tmap \"scale\" \"100\">>\n descr=\"When a type has a a higher priority than another type,\n its style will override the other style\" />\n\\end\n\n<table class=\"tmap-config-table\">\n <$macrocall\n $name=\"tmap-row\"\n title=\"Identifier\"\n field=\"temp.newId\"\n type=\"input-text\"\n default={{!!id}}\n readonly={{!!temp.idImmutable}}\n descr=\"A unique identifier\"\n />\n <$macrocall $name=<<mode>> />\n</table>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/overview": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/overview",
"caption": "Overview",
"text": "\\rules except wikilink\n\n\\define date(f) <$view field=$f$ format=\"date\" template=\"DDth mmm hh:mm:ss\"/>\n\n! <$link to={{!!typeTRef}}><$view field=\"id\" /></$link>\n\n<table class=\"tmap-key-value-table\">\n <tr>\n <th align=\"left\">Created on</th>\n <td>\n <<date \"created\">>\n </td>\n </tr>\n <tr>\n <th align=\"left\">Modified on</th>\n <td><<date \"modified\">></td>\n </tr>\n <tr>\n <th align=\"left\">Usage count</th>\n <td>\n <span class=\"tmap-edge-type-specific\">\n <$view field=\"temp.usageCount\" />\n </span>\n <span class=\"tmap-node-type-specific\">\n <$count filter={{!!scope}}>0</$count>\n </span>\n </td>\n </tr>\n</table>\n\n<$view field=\"description\">//No description available//</$view>"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/styling": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/styling",
"caption": "Styling",
"text": "\\rules except wikilink\n\n\\define url()\n <$set\n filter=\"[<mode>prefix[manage-edge-types]]\"\n name=\"module\"\n value=\"edges\"\n emptyValue=\"nodes\">\n [[visjs.org|http://visjs.org/docs/network/$(module)$]]\n </$set>\n\\end\n\n<fieldset class=\"tmap-node-type-specific\">\n <legend>Icon Settings</legend>\n <table class=\"tmap-config-table\">\n <<tmap-row type:\"input-text\"\n title:\"TW-icon\"\n field:\"tw-icon\"\n descr:\"A tiddlywiki image reference.\n For example '$:/core/icon' for Movotun Jack.\">>\n <<tmap-row type:\"input-text\"\n title:\"FA-icon\"\n field:\"fa-icon\"\n descr:\"A Font Awesome icon code.\n For example 'f206' for the bicycle symbol.\">>\n </table>\n</fieldset>\n\n<fieldset><legend>Visjs styles</legend>\n <div class=\"tmap-flash-message tmap-info\">\n All visjs options below are documented at <<url>>.\n </div>\n <div class=\"tmap-flash-message tmap-info\">\n Only config items that you actually changed have an effect on\n the graph. Other options are visible, yet, inactive.\n </div>\n <$tmap-config\n mode=<<mode>>\n inherited=\"inherited-style\"\n extension=\"style\" />\n</fieldset>\n"
},
"$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager": {
"title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager",
"subtitle": "{{$:/core/images/tag-button}} <<topic>>",
"buttons": "element_type_manager",
"classes": "tmap-remove-top-space",
"text": "\\rules except wikilink\n\n\\define defaultTab()\n$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/overview\n\\end\n\n\\define settingsTab()\n$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/generalSettings\n\\end\n\n\\define tabsFilter()\n[all[shadows]prefix[$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/]]\n\\end\n\n\\define searchFilter()\n$(searchSelector)$\n+[sort[title]nsort[priority]]\n+[removeprefix<typeRootPath>removeprefix[/]]\n+[search:title{$:/temp/tmap/MapElementTypeSearch}]\n\\end\n\n\\define managerClass() tmap-$(mode)$\n\n\\define typePath() $(typeRootPath)$/$(id)$\n\n<div id=\"tmap-element-type-manager\" class=<<managerClass>>>\n <div>\n <div class=\"tmap-searchbar\">\n <$edit-text\n focus=\"true\"\n tiddler=\"$:/temp/tmap/MapElementTypeSearch\"\n type=\"text\"\n tag=\"input\"\n default=\"\" />\n <$list filter=\"[{$:/temp/tmap/MapElementTypeSearch}regexp[.+]]\n +[addprefix[/]]\n +[addprefix<typeRootPath>]\n +[!is[tiddler]!is[shadow]]\">\n <$button tooltip=\"Create a new type of this name\">\n {{$:/core/images/new-button}}\n <$action-sendmessage\n $message=\"tmap:tm-create-type\"\n mode=<<mode>>\n id={{$:/temp/tmap/MapElementTypeSearch}}\n output=<<output>> />\n <$action-setfield $tiddler=\"$:/temp/tmap/MapElementTypeSearch\" text=\"\" />\n </$button>\n </$list>\n\n </div>\n <ul>\n <$list\n filter=<<searchFilter>>\n emptyMessage=<<noTypeFound>>\n variable=\"id\">\n <li>\n <span class=\"tmap-ranking tmap-node-type-specific\">\n # <$view tiddler=<<typePath>> field=\"priority\">1</$view>\n </span>\n <$button class=\"tc-btn-invisible tmap-link\"><<id>>\n <$action-setfield\n $tiddler=<<qualify \"$:/state/tabs/MapElementTypeManager\">>\n text=<<defaultTab>> />\n <$action-sendmessage\n $message=\"tmap:tm-load-type-form\"\n id=<<id>>\n mode=<<mode>>\n output=<<output>> />\n </$button>\n </li>\n </$list>\n </ul>\n </div>\n <div>\n <$reveal type=\"nomatch\" text=\"\" default={{!!id}} >\n <$macrocall\n $name=\"tabs\"\n default=<<defaultTab>>\n state=\"$:/state/tabs/MapElementTypeManager\"\n tabsList=<<tabsFilter>> />\n </$reveal>\n <$reveal type=\"match\" text=\"\" default={{!!id}} >\n <div class=\"tmap-flash-message tmap-info\">\n Please select a type from the list or create a new one by\n entering the type name in the search field on the left.\n </div>\n <div class=\"tmap-flash-message tmap-info tmap-node-type-specific\">\n The number next to the node-type label represents it's priority.\n </div>\n </$reveal>\n </div>\n</div>\n"
},
"$:/plugins/felixhayashi/tiddlymap/editor/contextMenu/node": {
"title": "$:/plugins/felixhayashi/tiddlymap/editor/contextMenu/node",
"text": "\\define single()\n <$list filter=\"\n [[tmap:tm-toggle-central-topic, $:/core/images/star-filled, Toggle central topic]]\n [[tmap:tm-delete-element, $:/core/images/delete-button, Delete node]]\">\n <$button class=\"tc-btn-invisible\">\n <$action-sendmessage $message=<<tmap \"splitAndSelect\" \", \" \"0\">> />\n <$transclude tiddler=<<tmap \"splitAndSelect\" \", \" \"1\">> />\n <<tmap \"splitAndSelect\" \", \" \"2\">>\n </$button>\n </$list>\n\\end\n\n\\define multi()\n <$list filter=\"\n [[tmap:tm-delete-element, $:/core/images/delete-button, Delete selected nodes]]\">\n <$button class=\"tc-btn-invisible\">\n <$action-sendmessage $message=<<tmap \"splitAndSelect\" \", \" \"0\">> />\n <$transclude tiddler=<<tmap \"splitAndSelect\" \", \" \"1\">> />\n <<tmap \"splitAndSelect\" \", \" \"2\">>\n </$button>\n </$list>\n\\end\n\n<div class=\"tc-drop-down\">\n <$macrocall $name=<<mode>> />\n</div>\n"
},
"$:/plugins/felixhayashi/tiddlymap/misc/advancedEditorBar": {
"title": "$:/plugins/felixhayashi/tiddlymap/misc/advancedEditorBar",
"text": "\\rules except wikilink\n\\define showEdgeField() show-$(curEdgeId)$\n\n<!-- === View Switcher ========================================== -->\n\n<div class=\"tmap-menu-bar\">\n View:\n <$reveal type=\"match\" text=\"false\" default=<<isViewBound>> >\n <$select\n tiddler=<<viewHolder>>\n field=\"text\"\n default=<<viewLabel>> >\n <$list filter=<<tmap \"option\" \"selector.allViewsByLabel\">> >\n <option value={{!!title}}>\n <$view tiddler={{!!title}} field=\"title\" />\n </option>\n </$list>\n </$select>\n </$reveal>\n <$reveal type=\"match\" text=\"true\" default=<<isViewBound>> >\n <b><<viewLabel>></b>\n </$reveal>\n\n<!-- === Menu =================================================== -->\n\n <$button\n popup=<<qualify \"$:/temp/menu\">>\n class=\"tmap-unicode-button\"\n tooltip=\"Open the Menu\">{{$:/core/images/menu-button}}\n </$button>\n\n <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/menu\">> >\n <div class=\"tc-drop-down\">\n <a href=\"http://tiddlymap.org#Documentation\" target=\"_blank\">\n {{$:/core/images/info-button}} Open online help\n </a>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-create-view\">\n {{$:/core/images/new-button}} Create new view\n </$button>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-generate-widget\">\n {{$:/core/images/permalink-button}} Grab widget code\n </$button>\n <div class=\"tmap-list-separator\">Global configurations:</div>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-configure-system\">\n {{$:/core/images/options-button}} Configure TiddlyMap\n </$button>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-manage-edge-types\">\n <span class=\"tmap-unicode-icon\">◭</span> Manage edge-types\n </$button>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-manage-node-types\">\n <span class=\"tmap-unicode-icon\">▢</span> Manage node-types\n </$button>\n <div class=\"tmap-view-actions\">\n <div class=\"tmap-list-separator\">Actions for this view:</div>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-edit-view\">\n {{$:/core/images/options-button}} Configure view\n </$button>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-rename-view\">\n {{$:/core/images/tag-button}} Rename view\n </$button>\n <$button class=\"tc-btn-invisible\" message=\"tmap:tm-delete-view\">\n {{$:/core/images/delete-button}} Delete view\n </$button>\n </div>\n </div>\n </$reveal>\n\n<!-- === Neighbourhood menu ===================================== -->\n\n <$reveal\n type=\"match\"\n text=\"true\"\n default=<<tmap \"option\"\n \"config.sys.editorMenuBar.showNeighScopeButton\">>>\n <$button\n class=<<neighScopeBtnClass>>\n tooltip=\"Change the neighbourhood scope\"\n popup=<<qualify \"$:/temp/neighScope\">>>\n {{$:/core/images/preview-open}}\n </$button>\n </$reveal>\n\n <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/neighScope\">> >\n <div class=\"tc-drop-down\">\n <div class=\"tmap-list-separator\">Neighbourhood scope</div>\n <$button class=\"tc-btn-invisible\">None\n <$action-setfield\n $tiddler=<<viewRoot>>\n config.neighbourhood_scope=\"\" />\n </$button>\n <$list filter=\"[[1|1 step distance]]\n [[2|2 step distance]]\n [[3|3 step distance]]\n [[4|4 step distance]]\n [[5|5 step distance]]\">\n <$button class=\"tc-btn-invisible\">\n <<tmap \"splitAndSelect\" \"|\" \"1\">>\n <$action-setfield\n $tiddler=<<viewRoot>>\n config.neighbourhood_scope=<<tmap \"splitAndSelect\" \"|\" \"0\">> />\n </$button>\n </$list>\n <$button class=\"tc-btn-invisible\">No limit\n <$action-setfield\n $tiddler=<<viewRoot>>\n config.neighbourhood_scope=\"100\" />\n </$button>\n\n <div class=\"tmap-list-separator\">Neighbourhood traversal</div>\n\n <$radio field=\"config.neighbourhood_directions\" value=\"in\"> Incoming</$radio><br />\n <$radio field=\"config.neighbourhood_directions\" value=\"out\"> Outgoing</$radio><br />\n <$radio field=\"config.neighbourhood_directions\" value=\"\"> Both</$radio>\n\n <div class=\"tmap-list-separator\">Other</div>\n\n <$checkbox field=\"config.show_inter_neighbour_edges\"\n checked=\"true\" unchecked=\"false\"> Inter-neighbour edges</$checkbox>\n\n </div>\n </$reveal>\n\n<!-- === Tracing ===================================== -->\n\n <$reveal\n type=\"match\"\n text=\"true\"\n default=<<isShowNeighbourhood>>>\n <$button\n class=<<tracingBtnClass>>\n tooltip=\"Trace your clicks on neighbouring nodes.\"\n popup=<<qualify \"$:/temp/tmap-tracing\">>>\n {{$:/core/images/timestamp-on}}\n </$button>\n </$reveal>\n\n <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/tmap-tracing\">> >\n <div class=\"tc-drop-down\">\n <$button message=\"tmap:tm-neighbourhood-reset-trace\">\n {{$:/core/images/erase}} Restart\n </$button>\n <span\n title=\"\n Enable this option to trace your clicks on neighbouring nodes.\n Traced neighbours are temporarily added to the map (until the map is closed)\n as if they where regular nodes of the map\"\n >\n <$checkbox\n field=\"config.neighbourhood_trace_clicks\"\n checked=\"true\"\n unchecked=\"false\"\n >\n Trace clicked nodes\n </$checkbox>\n </span>\n <br />\n <span title=\"Will focus an zoom on the latest traced node\">\n <$checkbox\n field=\"config.neighbourhood_focus_newly_traced_node\"\n checked=\"true\"\n unchecked=\"false\"\n >\n Focus traced nodes\n </$checkbox>\n </span>\n <br />\n <span title=\"Per default, only neighbours of nodes matching the node filter are displayed. Enable this option to also show neighbours of traced nodes.\">\n <$checkbox field=\"config.neighbourhood_include_traced_node_neighbours\"\n checked=\"true\" unchecked=\"false\"> Show neighbours of all traced nodes</$checkbox>\n </span>\n </div>\n </$reveal>\n\n<!-- === Export menu ============================================ -->\n\n <$reveal\n type=\"match\"\n text=\"true\"\n default=<<tmap \"option\" \"config.sys.editorMenuBar.showScreenshotButton\">>>\n <$button class=\"tmap-unicode-button\" tooltip=\"Open the map-export menu\" popup=<<qualify \"$:/temp/mapExport\">>>\n {{$:/core/images/download-button}}\n </$button>\n </$reveal>\n\n <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/mapExport\">>>\n <div class=\"tc-drop-down\">\n <$button\n class=\"tc-btn-invisible\"\n tooltip=\"Export the graph and all its elements\n in form of a JSON file\">\n {{$:/core/images/permalink-button}} Save as JSON file\n <$action-sendmessage\n $message=\"tmap:tm-download-graph\"\n view=<<viewLabel>> />\n </$button>\n <$button\n class=\"tc-btn-invisible\"\n tooltip=\"Create a png image to download or save it\n as image or view-placeholder in your wiki\">\n {{$:/core/images/palette}} Save as png image\n <$action-sendmessage $message=\"tmap:tm-save-canvas\" />\n </$button>\n </div>\n </$reveal>\n\n<!-- === Raster menu ============================================ -->\n\n <$reveal\n type=\"match\"\n text=\"true\"\n default=<<tmap \"option\" \"config.sys.editorMenuBar.showRasterMenuButton\">>>\n <$button\n tooltip=\"Change the raster of your map\"\n class=\"tmap-unicode-button\"\n popup=<<qualify \"$:/temp/rasterMenu\">>>\n {{$:/core/images/line-width}}\n </$button>\n </$reveal>\n\n <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/rasterMenu\">>>\n <div class=\"tc-drop-down\">\n <$button class=\"tc-btn-invisible\">Disable raster\n <$action-setfield\n $tiddler=<<viewRoot>>\n config.raster=\"\" />\n </$button>\n <div class=\"tmap-list-separator\">Raster sizes</div>\n <$list filter=\"[[50|50px]]\n [[75|75px]]\n [[100|100px]]\n [[150|150px]]\">\n <$button class=\"tc-btn-invisible\">\n <<tmap \"splitAndSelect\" \"|\" \"1\">>\n <$action-setfield\n $tiddler=<<viewRoot>>\n config.raster=<<tmap \"splitAndSelect\" \"|\" \"0\">> />\n </$button>\n </$list>\n </div>\n </$reveal>\n\n</div>\n"
},
"$:/plugins/felixhayashi/tiddlymap/misc/focusButton": {
"title": "$:/plugins/felixhayashi/tiddlymap/misc/focusButton",
"text": "\\define filter() [list[$:/temp/tmap/nodes/$(viewLabel)$]search:title{$:/temp/tmap/bar/search}]\n\\define concat(str) $str$\n\n\\define state() $(widgetPopupsPath)$/focus\n\n<div class=\"tmap-focus-button\">\n <$reveal type=\"match\" state=<<state>> text=\"\">\n <$button\n tooltip=\"Zoom on a specific node\"\n class=<<tv-config-toolbar-class>>>{{$:/core/images/advanced-search-button}}\n <$action-setfield $tiddler=\"$:/temp/tmap/bar/search\" text=\"\" />\n <$action-setfield $tiddler=<<state>> text=\"1\" />\n </$button>\n </$reveal>\n <$reveal type=\"nomatch\" state=<<state>> text=\"\">\n <$button\n tooltip=\"Close zoom popup\"\n class=<<tv-config-toolbar-class>>>{{$:/core/images/advanced-search-button}}\n <$action-setfield $tiddler=<<state>> text=\"\" />\n </$button>\n <div class=\"tmap-search-dropdown\">\n <div class=\"tc-drop-down\">\n <$edit-text\n focus=\"true\"\n tiddler=\"$:/temp/tmap/bar/search\"\n field=\"text\"\n type=\"text\"\n tag=\"input\"\n default=\"\" />\n <small><$count filter=<<filter>> /> results</small>\n <hr />\n <div class=\"tmap-very-small-list\">\n <$list filter=<<filter>>\n variable=\"item\"\n emptyMessage=\"//No results//\">\n <$button\n class=\"tc-btn-invisible\"\n message=\"tmap:tm-focus-node\"\n param=<<item>>>\n <$view tiddler=<<item>> field=\"title\" />\n </$button>\n </$list>\n </div>\n </div>\n </div>\n </$reveal>\n</div>"
},
"$:/plugins/felixhayashi/tiddlymap/hook/editor": {
"title": "$:/plugins/felixhayashi/tiddlymap/hook/editor",
"caption": "Map",
"tags": "$:/tags/SideBar",
"text": "\\define width() calc(100% - 15px)\n\n<div class=\"tmap-mobile-editor\">\n <div class=\"tmap-flash-message tmap-warning\">\n The editor is not displayed in mobile mode.\n </div>\n</div>\n<div class=\"tmap-desktop-editor\">\n <$tiddlymap\n class=\"tmap-sidebar-map-editor\"\n editor=\"advanced\"\n object-id=\"main_editor\"\n click-to-use=\"false\">\n </$tiddlymap>\n</div>"
},
"$:/plugins/felixhayashi/tiddlymap/hook/liveTab": {
"title": "$:/plugins/felixhayashi/tiddlymap/hook/liveTab",
"caption": "Live",
"text": "\\define width() calc(100% - 15px)\n\n<div class=\"tmap-mobile-editor\">\n <div class=\"tmap-flash-message tmap-warning\">\n The live tab is not displayed in mobile mode.\n </div>\n</div>\n<div class=\"tmap-desktop-editor\">\n <$set name=\"view\"\n filter=\"[{$:/temp/tmap/currentTiddler}get[tmap.open-view]]\"\n emptyValue=<<tmap \"option\" \"config.sys.liveTab.fallbackView\">>>\n <div>\n <$tiddlymap\n view=<<view>>\n click-to-use=\"false\"\n refresh-triggers=\"$:/temp/tmap/currentTiddler\"\n object-id=\"live_tab\">\n </$tiddlymap>\n </div>\n </$set> \n</div>"
},
"$:/plugins/felixhayashi/tiddlymap/misc/quickConnectButton": {
"title": "$:/plugins/felixhayashi/tiddlymap/misc/quickConnectButton",
"tags": "$:/tags/ViewToolbar",
"description": "{{$:/language/Buttons/TiddlyMap/Hint}}",
"caption": "{{$:/plugins/felixhayashi/tiddlymap/icon}} {{$:/language/Buttons/TiddlyMap/Caption}}",
"text": "\\define buttonClass() $(tv-config-toolbar-class)$ $(additional-classes)$\n\n\\define nonExistentItem()\n<<item>> <span style=\"color: #9E9E9E\">(will be created)</span>\n\\end\n\n\\define noConnectionsMsg()\n<tr><td colspan=\"4\">//No connections found!//</td></tr>\n\\end\n\n\\define normalSearchFilter()\n[!is[system]!has[draft.of]search:title{$:/temp/quickConnectSearch}sortcs[title]limit[50]]\n\\end\n\n\\define regexSearchFilter()\n[!is[system]!has[draft.of]regexp{$:/temp/quickConnectSearch}sortcs[title]limit[50]]\n\\end\n\n\\define showButton(state)\n<$button set=\"$:/temp/tmap/state/popup/quickConnect\"\n setTo=\"$state$\" tooltip={{$:/language/Buttons/TiddlyMap/Hint}} \n aria-label={{$:/language/Buttons/TiddlyMap/Caption}}\n class=<<buttonClass>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">{{$:/plugins/felixhayashi/tiddlymap/icon}}</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TiddlyMap/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n\\define searchResults()\n<td>\n <$button tooltip=\"Create incoming edge\">\n <<tmap \"option\" \"misc.arrows.in\">>\n <$action-sendmessage $message=\"tmap:tm-create-edge\"\n from=<<item>>\n to=<<currentTiddler>>\n force=\"true\"\n label={{$:/temp/quickConnectSearch/type}}\n view={{$:/temp/quickConnectSearch/view}} />\n </$button>\n</td>\n<td>\n <$button tooltip=\"Create outgoing edge\">\n <<tmap \"option\" \"misc.arrows.out\">>\n <$action-sendmessage $message=\"tmap:tm-create-edge\"\n from=<<currentTiddler>>\n to=<<item>>\n force=\"true\"\n label={{$:/temp/quickConnectSearch/type}}\n view={{$:/temp/quickConnectSearch/view}} />\n </$button>\n</td>\n<td>\n <$list\n filter=\"[<item>is[tiddler]]\"\n emptyMessage=<<nonExistentItem>>>\n <$view tiddler=<<item>> field=\"title\" />\n </$list>\n</td>\n\\end\n\n\\define hidePopup()\n<$macrocall $name=\"showButton\" state=<<qualify>> />\n\\end\n\n\\define showPopup()\n<$set name=\"additional-classes\" value=\"tmap-active-button\">\n <$macrocall $name=\"showButton\" state=\"\" />\n</$set>\n<$set\n name=\"searchFilter\"\n filter=\"[field:title[$:/state/tmap/tid-toolbar]has[re-filter]]\"\n value=<<regexSearchFilter>>\n emptyValue=<<normalSearchFilter>>>\n<div class=\"tmap-quick-connect tc-reveal tc-popup\">\n <div class=\"tc-drop-down\">\n <div class=\"title\">Create connection</div>\n <table class=\"tmap-quick-connect-search-bar\">\n <tr>\n <td>Type:</td>\n <td>\n <$edit-text\n tiddler=\"$:/temp/quickConnectSearch/type\"\n field=\"text\"\n type=\"text\"\n tag=\"input\"\n default=\"\" />\n <$select tiddler=\"$:/temp/quickConnectSearch/type\" default=\"\">\n <option></option>\n <$list filter=<<tmap \"option\" \"selector.allEdgeTypesById\">>>\n <option>{{!!title}}</option>\n </$list>\n </$select>\n </td>\n </tr>\n <tr>\n <td>Search:</td>\n <td>\n <$edit-text tiddler=\"$:/temp/quickConnectSearch\" type=\"text\" tag=\"input\" default=\"\"></$edit-text>\n <$checkbox\n tiddler=\"$:/state/tmap/tid-toolbar\"\n field=\"re-filter\"\n checked=\"1\"\n unchecked=\"\"\n default=\"\"> regexp\n </$checkbox>\n<!--\n <small>(<$count filter=<<searchFilter>> /> results)</small>\n-->\n </td>\n </tr>\n </table>\n <table class=\"tmap-create-connection-table\">\n <tr>\n <td colspan=\"2\">\n <table class=\"tmap-very-small-list\">\n <$list\n filter=<<searchFilter>>\n variable=\"item\">\n <tr><<searchResults>></tr>\n </$list>\n <tr>\n <$list filter=\"[{$:/temp/quickConnectSearch}regexp[.+]] -[is[tiddler]]\" variable=\"item\">\n <<searchResults>>\n </$list>\n </tr>\n </table>\n </td>\n </tr>\n </table>\n <div class=\"title\">Existing Connections</div>\n <div class=\"tmap-quick-connect-existing-bar\">\n <$select\n tiddler=\"$:/state/tmap/tid-toolbar\"\n field=\"direction\"\n default=\"both\">\n <option value=\"both\">both</option>\n <option value=\"in\">incoming</option>\n <option value=\"out\">outgoing</option>\n </$select>\n <$checkbox\n tiddler=\"$:/state/tmap/tid-toolbar\"\n field=\"filter.links\"\n checked=\"-[[tw-body:link]]\"\n unchecked=\"\"\n default=\"\"> hide links\n </$checkbox>\n </div>\n <table class=\"tmap-connection-table\">\n<!--\n <tr>\n <th></th>\n <th>Tiddler</th>\n <th>Type</th>\n <th></th>\n </tr>\n-->\n \n <$tmap-connections\n filter=<<tmap mergeFields \"$:/state/tmap/tid-toolbar\" \"filter.\">>\n direction={{$:/state/tmap/tid-toolbar!!direction}}\n emptyMessage=<<noConnectionsMsg>>>\n <tr>\n <td title=<<direction>>><<directionSymbol>></td>\n <td><$link to=<<neighbour>>><$view field=\"title\" /></$link></td>\n <td><<edge.type>></td>\n <td>\n <$button\n tooltip=\"Delete this connection\"\n class=\"tc-btn-invisible\">{{$:/core/images/close-button}}\n <$action-sendmessage $message=\"tmap:tm-remove-edge\"\n id=<<edge.id>>\n from=<<edge.from>>\n to=<<edge.to>>\n type=<<edge.type>> />\n </$button>\n </td>\n </tr>\n </$tmap-connections>\n </table> \n </div>\n</div>\n</$set>\n\\end\n\n<$list filter=\"[all[current]is[tiddler]]\"><$list filter=\"[{$:/temp/tmap/state/popup/quickConnect}prefix<qualify>]\" variable=\"item\" emptyMessage=<<hidePopup>>><<showPopup>></$list></$list>"
},
"$:/plugins/felixhayashi/tiddlymap/media/fullscreen.png": {
"title": "$:/plugins/felixhayashi/tiddlymap/media/fullscreen.png",
"type": "image/png",
"text": "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"
},
"$:/plugins/felixhayashi/tiddlymap/media/halfscreen.png": {
"title": "$:/plugins/felixhayashi/tiddlymap/media/halfscreen.png",
"type": "image/png",
"text": 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"title": "$:/plugins/felixhayashi/tiddlymap/icon",
"tags": "$:/tags/Image",
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},
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"title": "$:/plugins/felixhayashi/tiddlymap/media/surface.png",
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"
},
"$:/config/EditTemplateFields/Visibility/tmap.id": {
"title": "$:/config/EditTemplateFields/Visibility/tmap.id",
"text": "hide"
},
"$:/language/Buttons/TiddlyMap/Caption": {
"title": "$:/language/Buttons/TiddlyMap/Caption",
"text": "tiddlymap"
},
"$:/language/Buttons/TiddlyMap/Hint": {
"title": "$:/language/Buttons/TiddlyMap/Hint",
"text": "Toggle TiddlyMap actions"
},
"$:/plugins/felixhayashi/tiddlymap/misc/macros": {
"title": "$:/plugins/felixhayashi/tiddlymap/misc/macros",
"text": "\\define concat(str) $str$\n\n\\define input-text(field, index, default, readonly, class, focus)\n <$reveal type=\"match\" text=\"\" default=\"$readonly$\">\n <$edit-text\n tiddler=<<output>>\n field=\"$field$\"\n index=\"$index$\"\n type=\"text\"\n tag=\"input\"\n default=\"$default$\"\n focus=\"$focus$\"\n class=\"$class$\" />\n </$reveal>\n <$reveal type=\"nomatch\" text=\"\" default=\"$readonly$\">\n <input type=\"text\" value=\"$default$\" readonly=\"true\" disabled=\"true\" />\n </$reveal>\n\\end\n\n\\define input-button(field, index, default, default, label:\"Proceed\")\n <div class=\"tmap-button-wrapper\">\n <$button>$label$\n <$action-setfield $tiddler=<<output>> $field=\"$field$\" index=\"$index$\" $value=\"$default$\" />\n </$button>\n </div>\n\\end\n\n\\define input-textarea(field, index, default, default, class, focus)\n <$edit-text\n tiddler=<<output>>\n field=\"$field$\"\n index=\"$index$\"\n autoHeight=\"no\"\n type=\"text\"\n tag=\"textarea\"\n default=\"$default$\"\n class=\"$class$\"\n focus=\"$focus$\" />\n\\end\n\n\\define input-checkbox(field, index, readonly, default)\n <$reveal type=\"match\" text=\"\" default=\"$readonly$\">\n <$checkbox\n tiddler=<<output>>\n field=\"$field$\"\n index=\"$index$\"\n checked=\"true\"\n unchecked=\"false\"\n default=\"$default$\" />\n </$reveal>\n <$reveal type=\"nomatch\" text=\"\" default=\"$readonly$\">\n <input type=\"checkbox\" value=\"$default$\" readonly=\"true\" disabled=\"true\" />\n </$reveal>\n\\end\n\n\\define input-multi-checkbox(selectFilter, invert:\"no\", default)\n <div class=\"tmap-no-stretch\">\n <$list\n filter=\"$selectFilter$\"\n emptyMessage=\"– This list contains no items –\">\n <$checkbox\n tiddler=<<output>>\n tag=<<tmap \"splitAndSelect\" \"|\" \"0\">>>\n <$view\n tiddler=<<tmap \"splitAndSelect\" \"|\" \"1\">>\n field=\"title\" />\n </$checkbox><br />\n </$list>\n </div>\n\\end\n\n\\define input-select(field, index, selectFilter, default, nochoice)\n <$select\n tiddler=<<output>>\n field=\"$field$\"\n index=\"$index$\"\n default=\"$default$\">\n <$set name=\"nochoice\" value=\"$nochoice$\">\n <$list filter=\"[<nochoice>regexp[.+]]\">\n <option value=\"\"><b><<nochoice>></b></option>\n </$list>\n </$set>\n <$list filter=\"$selectFilter$\">\n <option value=<<tmap \"splitAndSelect\" \"|\" \"0\">> >\n <$view tiddler=<<tmap \"splitAndSelect\" \"|\" \"1\">> field=\"title\" />\n </option>\n </$list>\n </$select>\n\\end\n\n\\define input-radio(field, index, selectFilter, default)\n <$list filter=\"$selectFilter$\">\n <$radio\n tiddler=<<output>>\n field=\"$field$\"\n index=\"$index$\"\n value=<<tmap \"splitAndSelect\" \"|\" \"0\">>>\n <<tmap \"splitAndSelect\" \"|\" \"1\">>\n </$radio><br />\n </$list>\n\\end\n\n\\define tmap-row(title, field, index, type, descr, note, label, default, readonly, reset, selectFilter, nochoice, invert, class, focus)\n <tr>\n <td class=\"tmap-title\">$title$:</td>\n <td>\n <<$type$\n field:\"$field$\"\n index:\"$index$\"\n readonly:\"$readonly$\"\n default:\"$default$\"\n label:\"$label$\"\n invert:\"$invert$\"\n selectFilter:\"$selectFilter$\"\n nochoice:\"$nochoice$\"\n focus:\"$focus$\"\n class:\"$class$\">>\n <$reveal type=\"match\" text=\"true\" default=\"$reset$\">\n <$button>reset\n <$action-setfield $tiddler=<<output>> $field=\"$field$\" $index=\"$index$\" $value=\"$default$\" />\n </$button>\n </$reveal>\n </td>\n <td>\n <span class=\"tmap-description\">$descr$</span>\n <$reveal type=\"nomatch\" text=\"\" default=\"$note$\">\n <div class=\"tmap-note\">''Note:'' $note$</div>\n </$reveal>\n </td>\n </tr>\n\\end\n\n\\define visConfiguration(inheritedList, extensionField, styleName:\"style\")\n <fieldset><legend>Visjs configurations ($styleName$)</legend>\n <div class=\"tmap-flash-message tmap-info\">\n Only config items that you actually changed have an effect on\n the graph. Other options are visible, yet, inactive.\n </div>\n <$tmap-config\n mode=\"manage-node-types\"\n inherited=\"$inheritedList$\"\n extension=\"$extensionField$\" />\n </fieldset>\n\\end\n"
},
"$:/plugins/felixhayashi/tiddlymap/misc/defaultViewHolder": {
"title": "$:/plugins/felixhayashi/tiddlymap/misc/defaultViewHolder",
"text": "Default"
},
"$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:central-topic": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:central-topic",
"description": "The style is applied to the node that you marked as central topic in a map.",
"style": "{\"font\":{\"size\":22,\"color\":\"rgba(0,0,0,1)\"},\"shape\":\"star\"}"
},
"$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:neighbour": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:neighbour",
"description": "Neighbours are all nodes that are not part of the original set of nodes (\"matches\") but are connected (either outgoing or incoming) to a node of the original set.",
"style": "{\"color\":\"#565656\"}"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/edges": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/edges"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/nodes": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/nodes"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Default": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Default",
"config.physics_mode": "false",
"isview": "true"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/edges": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/edges",
"filter": "[prefix[$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes]]",
"text": "\n\n"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/nodes": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/nodes",
"filter": "[field:title{$:/temp/tmap/currentTiddler}]"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Live View": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View",
"config.refresh-triggers": "$:/temp/tmap/currentTiddler",
"config.physics_mode": "true",
"config.vis": "{\"physics\":{\"forceAtlas2Based\":{\"springConstant\":0.09}}}",
"config.neighbourhood_scope": "1",
"created": "20150331114808577",
"modified": "20200509212547688",
"type": "text/vnd.tiddlywiki",
"isview": "true"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Graph search/filter/nodes": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Graph search/filter/nodes",
"filter": "[!is[system]search{$:/temp/search}] [!is[system]search:tags{$:/temp/search}] [!is[system]search:text{$:/temp/search}limit[10]]"
},
"$:/plugins/felixhayashi/tiddlymap/graph/views/Graph search": {
"title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Graph search",
"config.refresh-triggers": "$:/temp/search",
"config.neighbourhood_scope": "1",
"config.physics_mode": "true"
}
}
}
{
"field.nodeLabel": "caption",
"field.nodeIcon": "icon",
"field.nodeInfo": "description",
"field.viewMarker": "isview",
"liveTab.fallbackView": "Live View",
"edgeClickBehaviour": "manager",
"debug": "false",
"notifications": "true",
"popups.enabled": "true",
"popups.delay": "600",
"popups.width": "240px",
"popups.height": "140px",
"jsonIndentation": "1",
"alwaysAddNodeIdToViewFilter": "true",
"editNodeOnCreate": "false",
"singleClickMode": "false",
"nodeFilterNeighbours": "false",
"editorMenuBar.showNeighScopeButton": "true",
"editorMenuBar.showRasterMenuButton": "true",
"editorMenuBar.showScreenshotButton": "true",
"defaultView": "Live View"
}
{
"originalVersion": "0.16.1+9773",
"dataStructureState": "0.11.0",
"showWelcomeMessage": false
}
{
"tiddlers": {
"$:/plugins/felixhayashi/topstoryview/config.js": {
"title": "$:/plugins/felixhayashi/topstoryview/config.js",
"text": "/*\\\n\ntitle: $:/plugins/felixhayashi/topstoryview/config.js\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n(function(){\"use strict\";exports.config={classNames:{storyRiver:\"tc-story-river\",backDrop:\"story-backdrop\",tiddlerFrame:\"tc-tiddler-frame\",tiddlerTitle:\"tc-title\"},references:{userConfig:\"$:/config/topStoryView\",focussedTiddlerStore:\"$:/temp/focussedTiddler\",refreshTrigger:\"$:/temp/focussedTiddler/refresh\"},checkbackTime:$tw.utils.getAnimationDuration()}})();",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/felixhayashi/topstoryview/layout": {
"text": "html .tc-story-river:after {\n content: \"\";\n display: block; }\n",
"title": "$:/plugins/felixhayashi/topstoryview/layout",
"type": "text/vnd.tiddlywiki",
"tags": [
"$:/tags/Stylesheet"
]
},
"$:/plugins/felixhayashi/topstoryview/Configuration": {
"title": "$:/plugins/felixhayashi/topstoryview/Configuration",
"text": "Please see the [[GitHub page|https://github.com/felixhayashi/TW5-TopStoryView]] for more information on the options.\n\nSave and reload the wiki to activate changes.\n\n<table>\n <tr>\n <th align=\"left\">Scroll offset:</th>\n <td><$edit-text tiddler=\"$:/config/topStoryView\" field=\"scroll-offset\" tag=\"input\" default=\"150px\" /></td>\n </tr>\n</table>"
},
"$:/plugins/felixhayashi/topstoryview/License": {
"title": "$:/plugins/felixhayashi/topstoryview/License",
"text": "This code is released under the BSD license. For the exact terms visit:\n\nhttps://github.com/felixhayashi/TW5-TopStoryView/blob/master/LICENSE"
},
"$:/plugins/felixhayashi/topstoryview/Readme": {
"title": "$:/plugins/felixhayashi/topstoryview/Readme",
"text": "Please visit the [[GitHub page|https://github.com/felixhayashi/TW5-TopStoryView]] for more information."
},
"$:/plugins/felixhayashi/topstoryview/top.js": {
"title": "$:/plugins/felixhayashi/topstoryview/top.js",
"text": "/*\\\ntitle: $:/plugins/felixhayashi/topstoryview/top.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n@preserve\n\n\\*/\n(function(){\"use strict\";var t=require(\"$:/plugins/felixhayashi/topstoryview/config.js\").config;var e=\"cubic-bezier(0.645, 0.045, 0.355, 1)\";var i=function(e){this.listWidget=e;this.pageScroller=new $tw.utils.PageScroller;this.pageScroller.scrollIntoView=this.scrollIntoView;this.pageScroller.storyRiverDomNode=document.getElementsByClassName(t.classNames.storyRiver)[0];var i=$tw.wiki.getTiddler(t.references.userConfig);var o=i?i.fields:{};$tw.hooks.addHook(\"th-opening-default-tiddlers-list\",this.hookOpenDefaultTiddlers);var r=parseInt(o[\"scroll-offset\"]);this.pageScroller.scrollOffset=isNaN(r)?71:r;this.recalculateBottomSpace()};i.prototype.refreshStart=function(t,e){};i.prototype.refreshEnd=function(t,e){};i.prototype.hookOpenDefaultTiddlers=function(t){return t};i.prototype.navigateTo=function(t){var e=this.listWidget.findListItem(0,t.title);if(e===undefined)return;var i=this.listWidget.children[e];var o=i.findFirstDomNode();if(!(o instanceof Element))return;this.pageScroller.scrollIntoView(o)};i.prototype.insert=function(t){if(!t)return;var e=t.findFirstDomNode();if(!(e instanceof Element))return;this.startInsertAnimation(e,function(){this.recalculateBottomSpace()}.bind(this))};i.prototype.remove=function(t){if(!t)return;var e=t.findFirstDomNode();if(!(e instanceof Element)){t.removeChildDomNodes();return}var i=this.getLastFrame()===e;this.startRemoveAnimation(t,e,function(){t.removeChildDomNodes();this.recalculateBottomSpace();if(i){this.pageScroller.scrollIntoView(this.getLastFrame())}}.bind(this))};i.prototype.getLastFrame=function(){var t=this.listWidget.children[this.listWidget.children.length-1];return t?t.findFirstDomNode():null};i.prototype.recalculateBottomSpace=function(){var t=this.pageScroller.storyRiverDomNode;if(this.getLastFrame()){var e=this.getLastFrame().getBoundingClientRect();var i=window.innerHeight;if(e.height<i){t.style[\"paddingBottom\"]=i-e.height+\"px\";return}}t.style[\"paddingBottom\"]=\"\"};i.prototype.scrollIntoView=function(t){if(this.preventNextScrollAttempt){this.preventNextScrollAttempt=false}if(!t)return;var e=$tw.utils.getAnimationDuration();this.cancelScroll();this.startTime=Date.now();var i=$tw.utils.getScrollPosition();var o=t.getBoundingClientRect(),r={left:o.left+i.x,top:o.top+i.y,width:o.width,height:o.height};var n=function(t,e,i,o){if(t<=i){return t}else if(e<o&&i<t+e-o){return t+e-o}else if(i<t){return t}else{return i}},s=n(r.left,r.width,i.x,window.innerWidth),a=r.top-this.scrollOffset;if(s!==i.x||a!==i.y){var l=this,c;c=function(){var t;if(e<=0){t=1}else{t=(Date.now()-l.startTime)/e}if(t>=1){l.cancelScroll();t=1}t=$tw.utils.slowInSlowOut(t);window.scrollTo(i.x+(s-i.x)*t,i.y+(a-i.y)*t);if(t<1){l.idRequestFrame=l.requestAnimationFrame.call(window,c)}};c()}};i.prototype.startInsertAnimation=function(t,i){var o=$tw.utils.getAnimationDuration();var r=window.getComputedStyle(t),n=parseInt(r.marginBottom,10),s=parseInt(r.marginTop,10),a=t.offsetHeight+s;setTimeout(function(){$tw.utils.setStyle(t,[{transition:\"none\"},{marginBottom:\"\"}]);i()},o);$tw.utils.setStyle(t,[{transition:\"none\"},{marginBottom:-a+\"px\"},{opacity:\"0.0\"}]);$tw.utils.forceLayout(t);$tw.utils.setStyle(t,[{transition:\"opacity \"+o+\"ms \"+e+\", \"+\"margin-bottom \"+o+\"ms \"+e},{marginBottom:n+\"px\"},{opacity:\"1.0\"}])};i.prototype.startRemoveAnimation=function(t,i,o){var r=$tw.utils.getAnimationDuration();var n=i.offsetWidth,s=window.getComputedStyle(i),a=parseInt(s.marginBottom,10),l=parseInt(s.marginTop,10),c=i.offsetHeight+l;setTimeout(o,r);$tw.utils.setStyle(i,[{transition:\"none\"},{transform:\"translateX(0px)\"},{marginBottom:a+\"px\"},{opacity:\"1.0\"}]);$tw.utils.forceLayout(i);$tw.utils.setStyle(i,[{transition:$tw.utils.roundTripPropertyName(\"transform\")+\" \"+r+\"ms \"+e+\", \"+\"opacity \"+r+\"ms \"+e+\", \"+\"margin-bottom \"+r+\"ms \"+e},{transform:\"translateX(-\"+n+\"px)\"},{marginBottom:-c+\"px\"},{opacity:\"0.0\"}])};exports.top=i})();",
"type": "application/javascript",
"module-type": "storyview"
}
}
}
{
"tiddlers": {
"$:/plugins/felixhayashi/vis/img/network/acceptDeleteIcon.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/acceptDeleteIcon.png",
"type": "image/png",
"text": 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},
"$:/plugins/felixhayashi/vis/img/network/addNodeIcon.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/addNodeIcon.png",
"type": "image/png",
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},
"$:/plugins/felixhayashi/vis/img/network/backIcon.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/backIcon.png",
"type": "image/png",
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},
"$:/plugins/felixhayashi/vis/img/network/connectIcon.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/connectIcon.png",
"type": "image/png",
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},
"$:/plugins/felixhayashi/vis/img/network/cross.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/cross.png",
"type": "image/png",
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},
"$:/plugins/felixhayashi/vis/img/network/cross2.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/cross2.png",
"type": "image/png",
"text": 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},
"$:/plugins/felixhayashi/vis/img/network/deleteIcon.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/deleteIcon.png",
"type": "image/png",
"text": 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"type": "image/png",
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},
"$:/plugins/felixhayashi/vis/img/network/leftArrow.png": {
"title": "$:/plugins/felixhayashi/vis/img/network/leftArrow.png",
"type": "image/png",
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"title": "$:/plugins/felixhayashi/vis/img/network/rightArrow.png",
"type": "image/png",
"text": 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},
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"title": "$:/plugins/felixhayashi/vis/img/network/upArrow.png",
"type": "image/png",
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},
"$:/plugins/felixhayashi/vis/readme": {
"title": "$:/plugins/felixhayashi/vis/readme",
"text": "! TW5-Vis.js\n\nA tiddlywiki plugin for the vis.js library.\n\n---\n\n! Notes on Copyright\n\n!! TiddlyWiki\n\nCreated by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright © Jeremy Ruston 2004-2007 Copyright © UnaMesa Association 2007-2014\n\nPublished under the following [licenses](https://github.com/Jermolene/TiddlyWiki5/tree/master/licenses):\n\n1. BSD 3-clause \"New\" or \"Revised\" License (including any right to adopt any future version of a license if permitted)\n2. Creative Commons Attribution 3.0 (including any right to adopt any future version of a license if permitted)\n\n!! The **vis.js** library\n\nCopyright (c) 2014 [Almende B.V.](https://github.com/almende/vis)\n\nPublished under the following licenses:\n\n1. Apache License Version 2.0, January 2004 http://www.apache.org/licenses/\n2. MIT License (MIT)\n"
},
"$:/plugins/felixhayashi/vis/vis.css": {
"title": "$:/plugins/felixhayashi/vis/vis.css",
"type": "text/vnd.tiddlywiki",
"tags": "$:/tags/Stylesheet",
"text": "\\rules except list\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}}/>\n\\end\n\n.vis .overlay{position:absolute;top:0;left:0;width:100%;height:100%;z-index:10}.vis-active{box-shadow:0 0 10px #86d5f8}.vis [class*=\"span\"]{min-height:0;width:auto}div.vis-configuration{position:relative;display:block;float:left;font-size:12px}div.vis-configuration-wrapper{display:block;width:700px}div.vis-configuration-wrapper::after{clear:both;content:\"\";display:block}div.vis-configuration.vis-config-option-container{display:block;width:495px;background-color:#fff;border:2px solid #f7f8fa;border-radius:4px;margin-top:20px;left:10px;padding-left:5px}div.vis-configuration.vis-config-button{display:block;width:495px;height:25px;vertical-align:middle;line-height:25px;background-color:#f7f8fa;border:2px solid #ceced0;border-radius:4px;margin-top:20px;left:10px;padding-left:5px;cursor:pointer;margin-bottom:30px}div.vis-configuration.vis-config-button.hover{background-color:#4588e6;border:2px solid #214373;color:#fff}div.vis-configuration.vis-config-item{display:block;float:left;width:495px;height:25px;vertical-align:middle;line-height:25px}div.vis-configuration.vis-config-item.vis-config-s2{left:10px;background-color:#f7f8fa;padding-left:5px;border-radius:3px}div.vis-configuration.vis-config-item.vis-config-s3{left:20px;background-color:#e4e9f0;padding-left:5px;border-radius:3px}div.vis-configuration.vis-config-item.vis-config-s4{left:30px;background-color:#cfd8e6;padding-left:5px;border-radius:3px}div.vis-configuration.vis-config-header{font-size:18px;font-weight:bold}div.vis-configuration.vis-config-label{width:120px;height:25px;line-height:25px}div.vis-configuration.vis-config-label.vis-config-s3{width:110px}div.vis-configuration.vis-config-label.vis-config-s4{width:100px}div.vis-configuration.vis-config-colorBlock{top:1px;width:30px;height:19px;border:1px solid #444;border-radius:2px;padding:0;margin:0;cursor:pointer}input.vis-configuration.vis-config-checkbox{left:-5px}input.vis-configuration.vis-config-rangeinput{position:relative;top:-5px;width:60px;padding:1px;margin:0;pointer-events:none}input.vis-configuration.vis-config-range{-webkit-appearance:none;border:0 solid white;background-color:rgba(0,0,0,0);width:300px;height:20px}input.vis-configuration.vis-config-range::-webkit-slider-runnable-track{width:300px;height:5px;background:#dedede;background:-moz-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-webkit-gradient(linear,left top,left bottom,color-stop(0,#dedede),color-stop(99%,#c8c8c8));background:-webkit-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-o-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-ms-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:linear-gradient(to bottom,#dedede 0,#c8c8c8 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0;margin-top:-7px}input.vis-configuration.vis-config-range:focus{outline:0}input.vis-configuration.vis-config-range:focus::-webkit-slider-runnable-track{background:#9d9d9d;background:-moz-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:-webkit-gradient(linear,left top,left bottom,color-stop(0,#9d9d9d),color-stop(99%,#c8c8c8));background:-webkit-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:-o-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:-ms-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:linear-gradient(to bottom,#9d9d9d 0,#c8c8c8 99%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#9d9d9d',endColorstr='#c8c8c8',GradientType=0)}input.vis-configuration.vis-config-range::-moz-range-track{width:300px;height:10px;background:#dedede;background:-moz-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-webkit-gradient(linear,left top,left bottom,color-stop(0,#dedede),color-stop(99%,#c8c8c8));background:-webkit-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-o-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-ms-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:linear-gradient(to bottom,#dedede 0,#c8c8c8 99%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#dedede',endColorstr='#c8c8c8',GradientType=0);border:1px solid #999;box-shadow:#aaa 0 0 3px 0;border-radius:3px}input.vis-configuration.vis-config-range::-moz-range-thumb{border:0;height:16px;width:16px;border-radius:50%;background:#385380}input.vis-configuration.vis-config-range:-moz-focusring{outline:1px solid white;outline-offset:-1px}input.vis-configuration.vis-config-range::-ms-track{width:300px;height:5px;background:transparent;border-color:transparent;border-width:6px 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"text": "/*\\\ntitle: $:/plugins/felixhayashi/vis/vis.js\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\\*/\n\n/*** TO AVOID STRANGE LIB ERRORS FROM BUBBLING UP *****************/\n\nif($tw.boot.tasks.trapErrors) {\n\n var defaultHandler = window.onerror;\n window.onerror = function(errorMsg, url, lineNumber) {\n \n if(errorMsg.indexOf(\"NS_ERROR_NOT_AVAILABLE\") !== -1\n && url == \"$:/plugins/felixhayashi/vis/vis.js\") {\n \n var text = \"Strange firefox related vis.js error (see #125)\";\n console.error(text, arguments);\n \n } else if(errorMsg.indexOf(\"Permission denied to access property\") !== -1) {\n \n var text = \"Strange firefox related vis.js error (see #163)\";\n console.error(text, arguments);\n \n } else if(defaultHandler) {\n \n defaultHandler.apply(this, arguments);\n \n }\n \n }\n \n}\n\n/******************************************************************/\n\n/**\n * vis.js\n * https://github.com/almende/vis\n *\n * A dynamic, browser-based visualization library.\n *\n * @version 4.21.0\n * @date 2017-10-12\n *\n * @license\n * Copyright (C) 2011-2017 Almende B.V, http://almende.com\n *\n * Vis.js is dual licensed under both\n *\n * * The Apache 2.0 License\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * and\n *\n * * The MIT License\n * http://opensource.org/licenses/MIT\n *\n * Vis.js may be distributed under either license.\n */\n\"use strict\";(function webpackUniversalModuleDefinition(root,factory){if(typeof exports===\"object\"&&typeof module===\"object\")module.exports=factory();else if(typeof define===\"function\"&&define.amd)define([],factory);else if(typeof exports===\"object\")exports[\"vis\"]=factory();else root[\"vis\"]=factory()})(this,function(){return function(modules){var installedModules={};function __webpack_require__(moduleId){if(installedModules[moduleId]){return installedModules[moduleId].exports}var module=installedModules[moduleId]={i:moduleId,l:false,exports:{}};modules[moduleId].call(module.exports,module,module.exports,__webpack_require__);module.l=true;return module.exports}__webpack_require__.m=modules;__webpack_require__.c=installedModules;__webpack_require__.d=function(exports,name,getter){if(!__webpack_require__.o(exports,name)){Object.defineProperty(exports,name,{configurable:false,enumerable:true,get:getter})}};__webpack_require__.n=function(module){var getter=module&&module.__esModule?function getDefault(){return module[\"default\"]}:function getModuleExports(){return module};__webpack_require__.d(getter,\"a\",getter);return getter};__webpack_require__.o=function(object,property){return Object.prototype.hasOwnProperty.call(object,property)};__webpack_require__.p=\"\";return __webpack_require__(__webpack_require__.s=123)}([function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;exports.default=function(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\")}}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _defineProperty=__webpack_require__(169);var _defineProperty2=_interopRequireDefault(_defineProperty);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(){function defineProperties(target,props){for(var i=0;i<props.length;i++){var descriptor=props[i];descriptor.enumerable=descriptor.enumerable||false;descriptor.configurable=true;if(\"value\"in descriptor)descriptor.writable=true;(0,_defineProperty2.default)(target,descriptor.key,descriptor)}}return function(Constructor,protoProps,staticProps){if(protoProps)defineProperties(Constructor.prototype,protoProps);if(staticProps)defineProperties(Constructor,staticProps);return Constructor}}()},function(module,exports,__webpack_require__){\"use strict\";var _getIterator2=__webpack_require__(77);var _getIterator3=_interopRequireDefault(_getIterator2);var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var moment=__webpack_require__(9);var uuid=__webpack_require__(157);exports.isNumber=function(object){return object instanceof Number||typeof object==\"number\"};exports.recursiveDOMDelete=function(DOMobject){if(DOMobject){while(DOMobject.hasChildNodes()===true){exports.recursiveDOMDelete(DOMobject.firstChild);DOMobject.removeChild(DOMobject.firstChild)}}};exports.giveRange=function(min,max,total,value){if(max==min){return.5}else{var scale=1/(max-min);return Math.max(0,(value-min)*scale)}};exports.isString=function(object){return object instanceof String||typeof object==\"string\"};exports.isDate=function(object){if(object instanceof Date){return true}else if(exports.isString(object)){var match=ASPDateRegex.exec(object);if(match){return true}else if(!isNaN(Date.parse(object))){return true}}return false};exports.randomUUID=function(){return uuid.v4()};exports.assignAllKeys=function(obj,value){for(var prop in obj){if(obj.hasOwnProperty(prop)){if((0,_typeof3[\"default\"])(obj[prop])!==\"object\"){obj[prop]=value}}}};function copyOrDelete(a,b,prop,allowDeletion){var doDeletion=false;if(allowDeletion===true){doDeletion=b[prop]===null&&a[prop]!==undefined}if(doDeletion){delete a[prop]}else{a[prop]=b[prop]}}exports.fillIfDefined=function(a,b){var allowDeletion=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;for(var prop in a){if(b[prop]!==undefined){if(b[prop]===null||(0,_typeof3[\"default\"])(b[prop])!==\"object\"){copyOrDelete(a,b,prop,allowDeletion)}else{if((0,_typeof3[\"default\"])(a[prop])===\"object\"){exports.fillIfDefined(a[prop],b[prop],allowDeletion)}}}}};exports.extend=function(a,b){for(var i=1;i<arguments.length;i++){var other=arguments[i];for(var prop in other){if(other.hasOwnProperty(prop)){a[prop]=other[prop]}}}return a};exports.selectiveExtend=function(props,a,b){if(!Array.isArray(props)){throw new Error(\"Array with property names expected as first argument\")}for(var i=2;i<arguments.length;i++){var other=arguments[i];for(var p=0;p<props.length;p++){var prop=props[p];if(other&&other.hasOwnProperty(prop)){a[prop]=other[prop]}}}return a};exports.selectiveDeepExtend=function(props,a,b){var allowDeletion=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;if(Array.isArray(b)){throw new TypeError(\"Arrays are not supported by deepExtend\")}for(var p=0;p<props.length;p++){var prop=props[p];if(b.hasOwnProperty(prop)){if(b[prop]&&b[prop].constructor===Object){if(a[prop]===undefined){a[prop]={}}if(a[prop].constructor===Object){exports.deepExtend(a[prop],b[prop],false,allowDeletion)}else{copyOrDelete(a,b,prop,allowDeletion)}}else if(Array.isArray(b[prop])){throw new TypeError(\"Arrays are not supported by deepExtend\")}else{copyOrDelete(a,b,prop,allowDeletion)}}}return a};exports.selectiveNotDeepExtend=function(propsToExclude,a,b){var allowDeletion=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;if(Array.isArray(b)){throw new TypeError(\"Arrays are not supported by deepExtend\")}for(var prop in b){if(!b.hasOwnProperty(prop))continue;if(propsToExclude.indexOf(prop)!==-1)continue;if(b[prop]&&b[prop].constructor===Object){if(a[prop]===undefined){a[prop]={}}if(a[prop].constructor===Object){exports.deepExtend(a[prop],b[prop])}else{copyOrDelete(a,b,prop,allowDeletion)}}else if(Array.isArray(b[prop])){a[prop]=[];for(var i=0;i<b[prop].length;i++){a[prop].push(b[prop][i])}}else{copyOrDelete(a,b,prop,allowDeletion)}}return a};exports.deepExtend=function(a,b){var protoExtend=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var allowDeletion=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;for(var prop in b){if(b.hasOwnProperty(prop)||protoExtend===true){if(b[prop]&&b[prop].constructor===Object){if(a[prop]===undefined){a[prop]={}}if(a[prop].constructor===Object){exports.deepExtend(a[prop],b[prop],protoExtend)}else{copyOrDelete(a,b,prop,allowDeletion)}}else if(Array.isArray(b[prop])){a[prop]=[];for(var i=0;i<b[prop].length;i++){a[prop].push(b[prop][i])}}else{copyOrDelete(a,b,prop,allowDeletion)}}}return a};exports.equalArray=function(a,b){if(a.length!=b.length)return false;for(var i=0,len=a.length;i<len;i++){if(a[i]!=b[i])return false}return true};exports.convert=function(object,type){var match;if(object===undefined){return undefined}if(object===null){return null}if(!type){return object}if(!(typeof type===\"string\")&&!(type instanceof String)){throw new Error(\"Type must be a string\")}switch(type){case\"boolean\":case\"Boolean\":return Boolean(object);case\"number\":case\"Number\":if(exports.isString(object)&&!isNaN(Date.parse(object))){return moment(object).valueOf()}else{return Number(object.valueOf())}case\"string\":case\"String\":return String(object);case\"Date\":if(exports.isNumber(object)){return new Date(object)}if(object instanceof Date){return new Date(object.valueOf())}else if(moment.isMoment(object)){return new Date(object.valueOf())}if(exports.isString(object)){match=ASPDateRegex.exec(object);if(match){return new Date(Number(match[1]))}else{return moment(new Date(object)).toDate()}}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type Date\")}case\"Moment\":if(exports.isNumber(object)){return moment(object)}if(object instanceof Date){return moment(object.valueOf())}else if(moment.isMoment(object)){return moment(object)}if(exports.isString(object)){match=ASPDateRegex.exec(object);if(match){return moment(Number(match[1]))}else{return moment(object)}}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type Date\")}case\"ISODate\":if(exports.isNumber(object)){return new Date(object)}else if(object instanceof Date){return object.toISOString()}else if(moment.isMoment(object)){return object.toDate().toISOString()}else if(exports.isString(object)){match=ASPDateRegex.exec(object);if(match){return new Date(Number(match[1])).toISOString()}else{return moment(object).format()}}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type ISODate\")}case\"ASPDate\":if(exports.isNumber(object)){return\"/Date(\"+object+\")/\"}else if(object instanceof Date){return\"/Date(\"+object.valueOf()+\")/\"}else if(exports.isString(object)){match=ASPDateRegex.exec(object);var value;if(match){value=new Date(Number(match[1])).valueOf()}else{value=new Date(object).valueOf()}return\"/Date(\"+value+\")/\"}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type ASPDate\")}default:throw new Error('Unknown type \"'+type+'\"')}};var ASPDateRegex=/^\\/?Date\\((\\-?\\d+)/i;exports.getType=function(object){var type=typeof object===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(object);if(type==\"object\"){if(object===null){return\"null\"}if(object instanceof Boolean){return\"Boolean\"}if(object instanceof Number){return\"Number\"}if(object instanceof String){return\"String\"}if(Array.isArray(object)){return\"Array\"}if(object instanceof Date){return\"Date\"}return\"Object\"}else if(type==\"number\"){return\"Number\"}else if(type==\"boolean\"){return\"Boolean\"}else if(type==\"string\"){return\"String\"}else if(type===undefined){return\"undefined\"}return type};exports.copyAndExtendArray=function(arr,newValue){var newArr=[];for(var i=0;i<arr.length;i++){newArr.push(arr[i])}newArr.push(newValue);return newArr};exports.copyArray=function(arr){var newArr=[];for(var i=0;i<arr.length;i++){newArr.push(arr[i])}return newArr};exports.getAbsoluteLeft=function(elem){return elem.getBoundingClientRect().left};exports.getAbsoluteRight=function(elem){return elem.getBoundingClientRect().right};exports.getAbsoluteTop=function(elem){return elem.getBoundingClientRect().top};exports.addClassName=function(elem,classNames){var classes=elem.className.split(\" \");var newClasses=classNames.split(\" \");classes=classes.concat(newClasses.filter(function(className){return classes.indexOf(className)<0}));elem.className=classes.join(\" \")};exports.removeClassName=function(elem,classNames){var classes=elem.className.split(\" \");var oldClasses=classNames.split(\" \");classes=classes.filter(function(className){return oldClasses.indexOf(className)<0});elem.className=classes.join(\" \")};exports.forEach=function(object,callback){var i,len;if(Array.isArray(object)){for(i=0,len=object.length;i<len;i++){callback(object[i],i,object)}}else{for(i in object){if(object.hasOwnProperty(i)){callback(object[i],i,object)}}}};exports.toArray=function(object){var array=[];for(var prop in object){if(object.hasOwnProperty(prop))array.push(object[prop])}return array};exports.updateProperty=function(object,key,value){if(object[key]!==value){object[key]=value;return true}else{return false}};exports.throttle=function(fn){var scheduled=false;return function throttled(){if(!scheduled){scheduled=true;requestAnimationFrame(function(){scheduled=false;fn()})}}};exports.addEventListener=function(element,action,listener,useCapture){if(element.addEventListener){if(useCapture===undefined)useCapture=false;if(action===\"mousewheel\"&&navigator.userAgent.indexOf(\"Firefox\")>=0){action=\"DOMMouseScroll\"}element.addEventListener(action,listener,useCapture)}else{element.attachEvent(\"on\"+action,listener)}};exports.removeEventListener=function(element,action,listener,useCapture){if(element.removeEventListener){if(useCapture===undefined)useCapture=false;if(action===\"mousewheel\"&&navigator.userAgent.indexOf(\"Firefox\")>=0){action=\"DOMMouseScroll\"}element.removeEventListener(action,listener,useCapture)}else{element.detachEvent(\"on\"+action,listener)}};exports.preventDefault=function(event){if(!event)event=window.event;if(event.preventDefault){event.preventDefault()}else{event.returnValue=false}};exports.getTarget=function(event){if(!event){event=window.event}var target;if(event.target){target=event.target}else if(event.srcElement){target=event.srcElement}if(target.nodeType!=undefined&&target.nodeType==3){target=target.parentNode}return target};exports.hasParent=function(element,parent){var e=element;while(e){if(e===parent){return true}e=e.parentNode}return false};exports.option={};exports.option.asBoolean=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(value!=null){return value!=false}return defaultValue||null};exports.option.asNumber=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(value!=null){return Number(value)||defaultValue||null}return defaultValue||null};exports.option.asString=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(value!=null){return String(value)}return defaultValue||null};exports.option.asSize=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(exports.isString(value)){return value}else if(exports.isNumber(value)){return value+\"px\"}else{return defaultValue||null}};exports.option.asElement=function(value,defaultValue){if(typeof value==\"function\"){value=value()}return value||defaultValue||null};exports.hexToRGB=function(hex){var shorthandRegex=/^#?([a-f\\d])([a-f\\d])([a-f\\d])$/i;hex=hex.replace(shorthandRegex,function(m,r,g,b){return r+r+g+g+b+b});var result=/^#?([a-f\\d]{2})([a-f\\d]{2})([a-f\\d]{2})$/i.exec(hex);return result?{r:parseInt(result[1],16),g:parseInt(result[2],16),b:parseInt(result[3],16)}:null};exports.overrideOpacity=function(color,opacity){var rgb;if(color.indexOf(\"rgba\")!=-1){return color}else if(color.indexOf(\"rgb\")!=-1){rgb=color.substr(color.indexOf(\"(\")+1).replace(\")\",\"\").split(\",\");return\"rgba(\"+rgb[0]+\",\"+rgb[1]+\",\"+rgb[2]+\",\"+opacity+\")\"}else{rgb=exports.hexToRGB(color);if(rgb==null){return color}else{return\"rgba(\"+rgb.r+\",\"+rgb.g+\",\"+rgb.b+\",\"+opacity+\")\"}}};exports.RGBToHex=function(red,green,blue){return\"#\"+((1<<24)+(red<<16)+(green<<8)+blue).toString(16).slice(1)};exports.parseColor=function(color){var c;if(exports.isString(color)===true){if(exports.isValidRGB(color)===true){var rgb=color.substr(4).substr(0,color.length-5).split(\",\").map(function(value){return parseInt(value)});color=exports.RGBToHex(rgb[0],rgb[1],rgb[2])}if(exports.isValidHex(color)===true){var hsv=exports.hexToHSV(color);var lighterColorHSV={h:hsv.h,s:hsv.s*.8,v:Math.min(1,hsv.v*1.02)};var darkerColorHSV={h:hsv.h,s:Math.min(1,hsv.s*1.25),v:hsv.v*.8};var darkerColorHex=exports.HSVToHex(darkerColorHSV.h,darkerColorHSV.s,darkerColorHSV.v);var lighterColorHex=exports.HSVToHex(lighterColorHSV.h,lighterColorHSV.s,lighterColorHSV.v);c={background:color,border:darkerColorHex,highlight:{background:lighterColorHex,border:darkerColorHex},hover:{background:lighterColorHex,border:darkerColorHex}}}else{c={background:color,border:color,highlight:{background:color,border:color},hover:{background:color,border:color}}}}else{c={};c.background=color.background||undefined;c.border=color.border||undefined;if(exports.isString(color.highlight)){c.highlight={border:color.highlight,background:color.highlight}}else{c.highlight={};c.highlight.background=color.highlight&&color.highlight.background||undefined;c.highlight.border=color.highlight&&color.highlight.border||undefined}if(exports.isString(color.hover)){c.hover={border:color.hover,background:color.hover}}else{c.hover={};c.hover.background=color.hover&&color.hover.background||undefined;c.hover.border=color.hover&&color.hover.border||undefined}}return c};exports.RGBToHSV=function(red,green,blue){red=red/255;green=green/255;blue=blue/255;var minRGB=Math.min(red,Math.min(green,blue));var maxRGB=Math.max(red,Math.max(green,blue));if(minRGB==maxRGB){return{h:0,s:0,v:minRGB}}var d=red==minRGB?green-blue:blue==minRGB?red-green:blue-red;var h=red==minRGB?3:blue==minRGB?1:5;var hue=60*(h-d/(maxRGB-minRGB))/360;var saturation=(maxRGB-minRGB)/maxRGB;var value=maxRGB;return{h:hue,s:saturation,v:value}};var cssUtil={split:function split(cssText){var styles={};cssText.split(\";\").forEach(function(style){if(style.trim()!=\"\"){var parts=style.split(\":\");var key=parts[0].trim();var value=parts[1].trim();styles[key]=value}});return styles},join:function join(styles){return(0,_keys2[\"default\"])(styles).map(function(key){return key+\": \"+styles[key]}).join(\"; \")}};exports.addCssText=function(element,cssText){var currentStyles=cssUtil.split(element.style.cssText);var newStyles=cssUtil.split(cssText);var styles=exports.extend(currentStyles,newStyles);element.style.cssText=cssUtil.join(styles)};exports.removeCssText=function(element,cssText){var styles=cssUtil.split(element.style.cssText);var removeStyles=cssUtil.split(cssText);for(var key in removeStyles){if(removeStyles.hasOwnProperty(key)){delete styles[key]}}element.style.cssText=cssUtil.join(styles)};exports.HSVToRGB=function(h,s,v){var r,g,b;var i=Math.floor(h*6);var f=h*6-i;var p=v*(1-s);var q=v*(1-f*s);var t=v*(1-(1-f)*s);switch(i%6){case 0:r=v,g=t,b=p;break;case 1:r=q,g=v,b=p;break;case 2:r=p,g=v,b=t;break;case 3:r=p,g=q,b=v;break;case 4:r=t,g=p,b=v;break;case 5:r=v,g=p,b=q;break}return{r:Math.floor(r*255),g:Math.floor(g*255),b:Math.floor(b*255)}};exports.HSVToHex=function(h,s,v){var rgb=exports.HSVToRGB(h,s,v);return exports.RGBToHex(rgb.r,rgb.g,rgb.b)};exports.hexToHSV=function(hex){var rgb=exports.hexToRGB(hex);return exports.RGBToHSV(rgb.r,rgb.g,rgb.b)};exports.isValidHex=function(hex){var isOk=/(^#[0-9A-F]{6}$)|(^#[0-9A-F]{3}$)/i.test(hex);return isOk};exports.isValidRGB=function(rgb){rgb=rgb.replace(\" \",\"\");var isOk=/rgb\\((\\d{1,3}),(\\d{1,3}),(\\d{1,3})\\)/i.test(rgb);return isOk};exports.isValidRGBA=function(rgba){rgba=rgba.replace(\" \",\"\");var isOk=/rgba\\((\\d{1,3}),(\\d{1,3}),(\\d{1,3}),(.{1,3})\\)/i.test(rgba);return isOk};exports.selectiveBridgeObject=function(fields,referenceObject){if(referenceObject!==null&&(typeof referenceObject===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(referenceObject))===\"object\"){var objectTo=(0,_create2[\"default\"])(referenceObject);for(var i=0;i<fields.length;i++){if(referenceObject.hasOwnProperty(fields[i])){if((0,_typeof3[\"default\"])(referenceObject[fields[i]])==\"object\"){objectTo[fields[i]]=exports.bridgeObject(referenceObject[fields[i]])}}}return objectTo}else{return null}};exports.bridgeObject=function(referenceObject){if(referenceObject!==null&&(typeof referenceObject===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(referenceObject))===\"object\"){var objectTo=(0,_create2[\"default\"])(referenceObject);if(referenceObject instanceof Element){objectTo=referenceObject}else{objectTo=(0,_create2[\"default\"])(referenceObject);for(var i in referenceObject){if(referenceObject.hasOwnProperty(i)){if((0,_typeof3[\"default\"])(referenceObject[i])==\"object\"){objectTo[i]=exports.bridgeObject(referenceObject[i])}}}}return objectTo}else{return null}};exports.insertSort=function(a,compare){for(var i=0;i<a.length;i++){var k=a[i];for(var j=i;j>0&&compare(k,a[j-1])<0;j--){a[j]=a[j-1]}a[j]=k}return a};exports.mergeOptions=function(mergeTarget,options,option){var globalOptions=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{};var isPresent=function isPresent(obj){return obj!==null&&obj!==undefined};var isObject=function isObject(obj){return obj!==null&&(typeof obj===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(obj))===\"object\"};var isEmpty=function isEmpty(obj){for(var x in obj){if(obj.hasOwnProperty(x))return false}return true};if(!isObject(mergeTarget)){throw new Error(\"Parameter mergeTarget must be an object\")}if(!isObject(options)){throw new Error(\"Parameter options must be an object\")}if(!isPresent(option)){throw new Error(\"Parameter option must have a value\")}if(!isObject(globalOptions)){throw new Error(\"Parameter globalOptions must be an object\")}var doMerge=function doMerge(target,options,option){if(!isObject(target[option])){target[option]={}}var src=options[option];var dst=target[option];for(var prop in src){if(src.hasOwnProperty(prop)){dst[prop]=src[prop]}}};var srcOption=options[option];var globalPassed=isObject(globalOptions)&&!isEmpty(globalOptions);var globalOption=globalPassed?globalOptions[option]:undefined;var globalEnabled=globalOption?globalOption.enabled:undefined;if(srcOption===undefined){return}if(typeof srcOption===\"boolean\"){if(!isObject(mergeTarget[option])){mergeTarget[option]={}}mergeTarget[option].enabled=srcOption;return}if(srcOption===null&&!isObject(mergeTarget[option])){if(isPresent(globalOption)){mergeTarget[option]=(0,_create2[\"default\"])(globalOption)}else{return}}if(!isObject(srcOption)){return}var enabled=true;if(srcOption.enabled!==undefined){enabled=srcOption.enabled}else{if(globalEnabled!==undefined){enabled=globalOption.enabled}}doMerge(mergeTarget,options,option);mergeTarget[option].enabled=enabled};exports.binarySearchCustom=function(orderedItems,comparator,field,field2){var maxIterations=1e4;var iteration=0;var low=0;var high=orderedItems.length-1;while(low<=high&&iteration<maxIterations){var middle=Math.floor((low+high)/2);var item=orderedItems[middle];var value=field2===undefined?item[field]:item[field][field2];var searchResult=comparator(value);if(searchResult==0){return middle}else if(searchResult==-1){low=middle+1}else{high=middle-1}iteration++}return-1};exports.binarySearchValue=function(orderedItems,target,field,sidePreference,comparator){var maxIterations=1e4;var iteration=0;var low=0;var high=orderedItems.length-1;var prevValue,value,nextValue,middle;comparator=comparator!=undefined?comparator:function(a,b){return a==b?0:a<b?-1:1};while(low<=high&&iteration<maxIterations){middle=Math.floor(.5*(high+low));prevValue=orderedItems[Math.max(0,middle-1)][field];value=orderedItems[middle][field];nextValue=orderedItems[Math.min(orderedItems.length-1,middle+1)][field];if(comparator(value,target)==0){return middle}else if(comparator(prevValue,target)<0&&comparator(value,target)>0){return sidePreference==\"before\"?Math.max(0,middle-1):middle}else if(comparator(value,target)<0&&comparator(nextValue,target)>0){return sidePreference==\"before\"?middle:Math.min(orderedItems.length-1,middle+1)}else{if(comparator(value,target)<0){low=middle+1}else{high=middle-1}}iteration++}return-1};exports.easingFunctions={linear:function linear(t){return t},easeInQuad:function easeInQuad(t){return t*t},easeOutQuad:function easeOutQuad(t){return t*(2-t)},easeInOutQuad:function easeInOutQuad(t){return t<.5?2*t*t:-1+(4-2*t)*t},easeInCubic:function easeInCubic(t){return t*t*t},easeOutCubic:function easeOutCubic(t){return--t*t*t+1},easeInOutCubic:function easeInOutCubic(t){return t<.5?4*t*t*t:(t-1)*(2*t-2)*(2*t-2)+1},easeInQuart:function easeInQuart(t){return t*t*t*t},easeOutQuart:function easeOutQuart(t){return 1- --t*t*t*t},easeInOutQuart:function easeInOutQuart(t){return t<.5?8*t*t*t*t:1-8*--t*t*t*t},easeInQuint:function easeInQuint(t){return t*t*t*t*t},easeOutQuint:function easeOutQuint(t){return 1+--t*t*t*t*t},easeInOutQuint:function easeInOutQuint(t){return t<.5?16*t*t*t*t*t:1+16*--t*t*t*t*t}};exports.getScrollBarWidth=function(){var inner=document.createElement(\"p\");inner.style.width=\"100%\";inner.style.height=\"200px\";var outer=document.createElement(\"div\");outer.style.position=\"absolute\";outer.style.top=\"0px\";outer.style.left=\"0px\";outer.style.visibility=\"hidden\";outer.style.width=\"200px\";outer.style.height=\"150px\";outer.style.overflow=\"hidden\";outer.appendChild(inner);document.body.appendChild(outer);var w1=inner.offsetWidth;outer.style.overflow=\"scroll\";var w2=inner.offsetWidth;if(w1==w2)w2=outer.clientWidth;document.body.removeChild(outer);return w1-w2};exports.topMost=function(pile,accessors){var candidate=void 0;if(!Array.isArray(accessors)){accessors=[accessors]}var _iteratorNormalCompletion=true;var _didIteratorError=false;var _iteratorError=undefined;try{for(var _iterator=(0,_getIterator3[\"default\"])(pile),_step;!(_iteratorNormalCompletion=(_step=_iterator.next()).done);_iteratorNormalCompletion=true){var member=_step.value;if(member){candidate=member[accessors[0]];for(var i=1;i<accessors.length;i++){if(candidate){candidate=candidate[accessors[i]]}else{continue}}if(typeof candidate!=\"undefined\"){break}}}}catch(err){_didIteratorError=true;_iteratorError=err}finally{try{if(!_iteratorNormalCompletion&&_iterator[\"return\"]){_iterator[\"return\"]()}}finally{if(_didIteratorError){throw _iteratorError}}}return candidate}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(194),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(self,call){if(!self){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return call&&((typeof call===\"undefined\"?\"undefined\":(0,_typeof3.default)(call))===\"object\"||typeof call===\"function\")?call:self}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _setPrototypeOf=__webpack_require__(196);var _setPrototypeOf2=_interopRequireDefault(_setPrototypeOf);var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(subClass,superClass){if(typeof superClass!==\"function\"&&superClass!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+(typeof superClass===\"undefined\"?\"undefined\":(0,_typeof3.default)(superClass)))}subClass.prototype=(0,_create2.default)(superClass&&superClass.prototype,{constructor:{value:subClass,enumerable:false,writable:true,configurable:true}});if(superClass)_setPrototypeOf2.default?(0,_setPrototypeOf2.default)(subClass,superClass):subClass.__proto__=superClass}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _iterator=__webpack_require__(142);var _iterator2=_interopRequireDefault(_iterator);var _symbol=__webpack_require__(144);var _symbol2=_interopRequireDefault(_symbol);var _typeof=typeof _symbol2.default===\"function\"&&typeof _iterator2.default===\"symbol\"?function(obj){return typeof obj}:function(obj){return obj&&typeof _symbol2.default===\"function\"&&obj.constructor===_symbol2.default&&obj!==_symbol2.default.prototype?\"symbol\":typeof obj};function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=typeof _symbol2.default===\"function\"&&_typeof(_iterator2.default)===\"symbol\"?function(obj){return typeof obj===\"undefined\"?\"undefined\":_typeof(obj)}:function(obj){return obj&&typeof _symbol2.default===\"function\"&&obj.constructor===_symbol2.default&&obj!==_symbol2.default.prototype?\"symbol\":typeof obj===\"undefined\"?\"undefined\":_typeof(obj)}},function(module,exports){var core=module.exports={version:\"2.5.1\"};if(typeof __e==\"number\")__e=core},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(140),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";module.exports=typeof window!==\"undefined\"&&window[\"moment\"]||__webpack_require__(154)},function(module,exports,__webpack_require__){\"use strict\";function hammerMock(){var noop=function noop(){};return{on:noop,off:noop,destroy:noop,emit:noop,get:function get(m){return{set:noop}}}}if(typeof window!==\"undefined\"){var propagating=__webpack_require__(175);var Hammer=window[\"Hammer\"]||__webpack_require__(176);module.exports=propagating(Hammer,{preventDefault:\"mouse\"})}else{module.exports=function(){return hammerMock()}}},function(module,exports,__webpack_require__){\"use strict\";var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Queue=__webpack_require__(43);function DataSet(data,options){if(data&&!Array.isArray(data)){options=data;data=null}this._options=options||{};this._data={};this.length=0;this._fieldId=this._options.fieldId||\"id\";this._type={};if(this._options.type){var fields=(0,_keys2[\"default\"])(this._options.type);for(var i=0,len=fields.length;i<len;i++){var field=fields[i];var value=this._options.type[field];if(value==\"Date\"||value==\"ISODate\"||value==\"ASPDate\"){this._type[field]=\"Date\"}else{this._type[field]=value}}}this._subscribers={};if(data){this.add(data)}this.setOptions(options)}DataSet.prototype.setOptions=function(options){if(options&&options.queue!==undefined){if(options.queue===false){if(this._queue){this._queue.destroy();delete this._queue}}else{if(!this._queue){this._queue=Queue.extend(this,{replace:[\"add\",\"update\",\"remove\"]})}if((0,_typeof3[\"default\"])(options.queue)===\"object\"){this._queue.setOptions(options.queue)}}}};DataSet.prototype.on=function(event,callback){var subscribers=this._subscribers[event];if(!subscribers){subscribers=[];this._subscribers[event]=subscribers}subscribers.push({callback:callback})};DataSet.prototype.off=function(event,callback){var subscribers=this._subscribers[event];if(subscribers){this._subscribers[event]=subscribers.filter(function(listener){return listener.callback!=callback})}};DataSet.prototype._trigger=function(event,params,senderId){if(event==\"*\"){throw new Error(\"Cannot trigger event *\")}var subscribers=[];if(event in this._subscribers){subscribers=subscribers.concat(this._subscribers[event])}if(\"*\"in this._subscribers){subscribers=subscribers.concat(this._subscribers[\"*\"])}for(var i=0,len=subscribers.length;i<len;i++){var subscriber=subscribers[i];if(subscriber.callback){subscriber.callback(event,params,senderId||null)}}};DataSet.prototype.add=function(data,senderId){var addedIds=[],id,me=this;if(Array.isArray(data)){for(var i=0,len=data.length;i<len;i++){id=me._addItem(data[i]);addedIds.push(id)}}else if(data&&(typeof data===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(data))===\"object\"){id=me._addItem(data);addedIds.push(id)}else{throw new Error(\"Unknown dataType\")}if(addedIds.length){this._trigger(\"add\",{items:addedIds},senderId)}return addedIds};DataSet.prototype.update=function(data,senderId){var addedIds=[];var updatedIds=[];var oldData=[];var updatedData=[];var me=this;var fieldId=me._fieldId;var addOrUpdate=function addOrUpdate(item){var id=item[fieldId];if(me._data[id]){var oldItem=util.extend({},me._data[id]);id=me._updateItem(item);updatedIds.push(id);updatedData.push(item);oldData.push(oldItem)}else{id=me._addItem(item);addedIds.push(id)}};if(Array.isArray(data)){for(var i=0,len=data.length;i<len;i++){if(data[i]&&(0,_typeof3[\"default\"])(data[i])===\"object\"){addOrUpdate(data[i])}else{console.warn(\"Ignoring input item, which is not an object at index \"+i)}}}else if(data&&(typeof data===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(data))===\"object\"){addOrUpdate(data)}else{throw new Error(\"Unknown dataType\")}if(addedIds.length){this._trigger(\"add\",{items:addedIds},senderId)}if(updatedIds.length){var props={items:updatedIds,oldData:oldData,data:updatedData};this._trigger(\"update\",props,senderId)}return addedIds.concat(updatedIds)};DataSet.prototype.get=function(args){var me=this;var id,ids,options;var firstType=util.getType(arguments[0]);if(firstType==\"String\"||firstType==\"Number\"){id=arguments[0];options=arguments[1]}else if(firstType==\"Array\"){\nids=arguments[0];options=arguments[1]}else{options=arguments[0]}var returnType;if(options&&options.returnType){var allowedValues=[\"Array\",\"Object\"];returnType=allowedValues.indexOf(options.returnType)==-1?\"Array\":options.returnType}else{returnType=\"Array\"}var type=options&&options.type||this._options.type;var filter=options&&options.filter;var items=[],item,itemIds,itemId,i,len;if(id!=undefined){item=me._getItem(id,type);if(item&&filter&&!filter(item)){item=null}}else if(ids!=undefined){for(i=0,len=ids.length;i<len;i++){item=me._getItem(ids[i],type);if(!filter||filter(item)){items.push(item)}}}else{itemIds=(0,_keys2[\"default\"])(this._data);for(i=0,len=itemIds.length;i<len;i++){itemId=itemIds[i];item=me._getItem(itemId,type);if(!filter||filter(item)){items.push(item)}}}if(options&&options.order&&id==undefined){this._sort(items,options.order)}if(options&&options.fields){var fields=options.fields;if(id!=undefined){item=this._filterFields(item,fields)}else{for(i=0,len=items.length;i<len;i++){items[i]=this._filterFields(items[i],fields)}}}if(returnType==\"Object\"){var result={},resultant;for(i=0,len=items.length;i<len;i++){resultant=items[i];result[resultant.id]=resultant}return result}else{if(id!=undefined){return item}else{return items}}};DataSet.prototype.getIds=function(options){var data=this._data,filter=options&&options.filter,order=options&&options.order,type=options&&options.type||this._options.type,itemIds=(0,_keys2[\"default\"])(data),i,len,id,item,items,ids=[];if(filter){if(order){items=[];for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(filter(item)){items.push(item)}}this._sort(items,order);for(i=0,len=items.length;i<len;i++){ids.push(items[i][this._fieldId])}}else{for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(filter(item)){ids.push(item[this._fieldId])}}}}else{if(order){items=[];for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];items.push(data[id])}this._sort(items,order);for(i=0,len=items.length;i<len;i++){ids.push(items[i][this._fieldId])}}else{for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=data[id];ids.push(item[this._fieldId])}}}return ids};DataSet.prototype.getDataSet=function(){return this};DataSet.prototype.forEach=function(callback,options){var filter=options&&options.filter,type=options&&options.type||this._options.type,data=this._data,itemIds=(0,_keys2[\"default\"])(data),i,len,item,id;if(options&&options.order){var items=this.get(options);for(i=0,len=items.length;i<len;i++){item=items[i];id=item[this._fieldId];callback(item,id)}}else{for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(!filter||filter(item)){callback(item,id)}}}};DataSet.prototype.map=function(callback,options){var filter=options&&options.filter,type=options&&options.type||this._options.type,mappedItems=[],data=this._data,itemIds=(0,_keys2[\"default\"])(data),i,len,id,item;for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(!filter||filter(item)){mappedItems.push(callback(item,id))}}if(options&&options.order){this._sort(mappedItems,options.order)}return mappedItems};DataSet.prototype._filterFields=function(item,fields){if(!item){return item}var filteredItem={},itemFields=(0,_keys2[\"default\"])(item),len=itemFields.length,i,field;if(Array.isArray(fields)){for(i=0;i<len;i++){field=itemFields[i];if(fields.indexOf(field)!=-1){filteredItem[field]=item[field]}}}else{for(i=0;i<len;i++){field=itemFields[i];if(fields.hasOwnProperty(field)){filteredItem[fields[field]]=item[field]}}}return filteredItem};DataSet.prototype._sort=function(items,order){if(util.isString(order)){var name=order;items.sort(function(a,b){var av=a[name];var bv=b[name];return av>bv?1:av<bv?-1:0})}else if(typeof order===\"function\"){items.sort(order)}else{throw new TypeError(\"Order must be a function or a string\")}};DataSet.prototype.remove=function(id,senderId){var removedIds=[],removedItems=[],ids=[],i,len,itemId,item;ids=Array.isArray(id)?id:[id];for(i=0,len=ids.length;i<len;i++){item=this._remove(ids[i]);if(item){itemId=item[this._fieldId];if(itemId!=undefined){removedIds.push(itemId);removedItems.push(item)}}}if(removedIds.length){this._trigger(\"remove\",{items:removedIds,oldData:removedItems},senderId)}return removedIds};DataSet.prototype._remove=function(id){var item,ident;if(util.isNumber(id)||util.isString(id)){ident=id}else if(id&&(typeof id===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(id))===\"object\"){ident=id[this._fieldId]}if(ident!==undefined&&this._data[ident]){item=this._data[ident];delete this._data[ident];this.length--;return item}return null};DataSet.prototype.clear=function(senderId){var i,len;var ids=(0,_keys2[\"default\"])(this._data);var items=[];for(i=0,len=ids.length;i<len;i++){items.push(this._data[ids[i]])}this._data={};this.length=0;this._trigger(\"remove\",{items:ids,oldData:items},senderId);return ids};DataSet.prototype.max=function(field){var data=this._data,itemIds=(0,_keys2[\"default\"])(data),max=null,maxField=null,i,len;for(i=0,len=itemIds.length;i<len;i++){var id=itemIds[i];var item=data[id];var itemField=item[field];if(itemField!=null&&(!max||itemField>maxField)){max=item;maxField=itemField}}return max};DataSet.prototype.min=function(field){var data=this._data,itemIds=(0,_keys2[\"default\"])(data),min=null,minField=null,i,len;for(i=0,len=itemIds.length;i<len;i++){var id=itemIds[i];var item=data[id];var itemField=item[field];if(itemField!=null&&(!min||itemField<minField)){min=item;minField=itemField}}return min};DataSet.prototype.distinct=function(field){var data=this._data;var itemIds=(0,_keys2[\"default\"])(data);var values=[];var fieldType=this._options.type&&this._options.type[field]||null;var count=0;var i,j,len;for(i=0,len=itemIds.length;i<len;i++){var id=itemIds[i];var item=data[id];var value=item[field];var exists=false;for(j=0;j<count;j++){if(values[j]==value){exists=true;break}}if(!exists&&value!==undefined){values[count]=value;count++}}if(fieldType){for(i=0,len=values.length;i<len;i++){values[i]=util.convert(values[i],fieldType)}}return values};DataSet.prototype._addItem=function(item){var id=item[this._fieldId];if(id!=undefined){if(this._data[id]){throw new Error(\"Cannot add item: item with id \"+id+\" already exists\")}}else{id=util.randomUUID();item[this._fieldId]=id}var d={},fields=(0,_keys2[\"default\"])(item),i,len;for(i=0,len=fields.length;i<len;i++){var field=fields[i];var fieldType=this._type[field];d[field]=util.convert(item[field],fieldType)}this._data[id]=d;this.length++;return id};DataSet.prototype._getItem=function(id,types){var field,value,i,len;var raw=this._data[id];if(!raw){return null}var converted={},fields=(0,_keys2[\"default\"])(raw);if(types){for(i=0,len=fields.length;i<len;i++){field=fields[i];value=raw[field];converted[field]=util.convert(value,types[field])}}else{for(i=0,len=fields.length;i<len;i++){field=fields[i];value=raw[field];converted[field]=value}}if(!converted[this._fieldId]){converted[this._fieldId]=raw.id}return converted};DataSet.prototype._updateItem=function(item){var id=item[this._fieldId];if(id==undefined){throw new Error(\"Cannot update item: item has no id (item: \"+(0,_stringify2[\"default\"])(item)+\")\")}var d=this._data[id];if(!d){throw new Error(\"Cannot update item: no item with id \"+id+\" found\")}var fields=(0,_keys2[\"default\"])(item);for(var i=0,len=fields.length;i<len;i++){var field=fields[i];var fieldType=this._type[field];d[field]=util.convert(item[field],fieldType)}return id};module.exports=DataSet},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DataSet=__webpack_require__(11);function DataView(data,options){this._data=null;this._ids={};this.length=0;this._options=options||{};this._fieldId=\"id\";this._subscribers={};var me=this;this.listener=function(){me._onEvent.apply(me,arguments)};this.setData(data)}DataView.prototype.setData=function(data){var ids,id,i,len,items;if(this._data){if(this._data.off){this._data.off(\"*\",this.listener)}ids=this._data.getIds({filter:this._options&&this._options.filter});items=[];for(i=0,len=ids.length;i<len;i++){items.push(this._data._data[ids[i]])}this._ids={};this.length=0;this._trigger(\"remove\",{items:ids,oldData:items})}this._data=data;if(this._data){this._fieldId=this._options.fieldId||this._data&&this._data.options&&this._data.options.fieldId||\"id\";ids=this._data.getIds({filter:this._options&&this._options.filter});for(i=0,len=ids.length;i<len;i++){id=ids[i];this._ids[id]=true}this.length=ids.length;this._trigger(\"add\",{items:ids});if(this._data.on){this._data.on(\"*\",this.listener)}}};DataView.prototype.refresh=function(){var id,i,len;var ids=this._data.getIds({filter:this._options&&this._options.filter}),oldIds=(0,_keys2[\"default\"])(this._ids),newIds={},addedIds=[],removedIds=[],removedItems=[];for(i=0,len=ids.length;i<len;i++){id=ids[i];newIds[id]=true;if(!this._ids[id]){addedIds.push(id);this._ids[id]=true}}for(i=0,len=oldIds.length;i<len;i++){id=oldIds[i];if(!newIds[id]){removedIds.push(id);removedItems.push(this._data._data[id]);delete this._ids[id]}}this.length+=addedIds.length-removedIds.length;if(addedIds.length){this._trigger(\"add\",{items:addedIds})}if(removedIds.length){this._trigger(\"remove\",{items:removedIds,oldData:removedItems})}};DataView.prototype.get=function(args){var me=this;var ids,options,data;var firstType=util.getType(arguments[0]);if(firstType==\"String\"||firstType==\"Number\"||firstType==\"Array\"){ids=arguments[0];options=arguments[1];data=arguments[2]}else{options=arguments[0];data=arguments[1]}var viewOptions=util.extend({},this._options,options);if(this._options.filter&&options&&options.filter){viewOptions.filter=function(item){return me._options.filter(item)&&options.filter(item)}}var getArguments=[];if(ids!=undefined){getArguments.push(ids)}getArguments.push(viewOptions);getArguments.push(data);return this._data&&this._data.get.apply(this._data,getArguments)};DataView.prototype.getIds=function(options){var ids;if(this._data){var defaultFilter=this._options.filter;var filter;if(options&&options.filter){if(defaultFilter){filter=function filter(item){return defaultFilter(item)&&options.filter(item)}}else{filter=options.filter}}else{filter=defaultFilter}ids=this._data.getIds({filter:filter,order:options&&options.order})}else{ids=[]}return ids};DataView.prototype.map=function(callback,options){var mappedItems=[];if(this._data){var defaultFilter=this._options.filter;var filter;if(options&&options.filter){if(defaultFilter){filter=function filter(item){return defaultFilter(item)&&options.filter(item)}}else{filter=options.filter}}else{filter=defaultFilter}mappedItems=this._data.map(callback,{filter:filter,order:options&&options.order})}else{mappedItems=[]}return mappedItems};DataView.prototype.getDataSet=function(){var dataSet=this;while(dataSet instanceof DataView){dataSet=dataSet._data}return dataSet||null};DataView.prototype._onEvent=function(event,params,senderId){var i,len,id,item;var ids=params&¶ms.items;var addedIds=[],updatedIds=[],removedIds=[],oldItems=[],updatedItems=[],removedItems=[];if(ids&&this._data){switch(event){case\"add\":for(i=0,len=ids.length;i<len;i++){id=ids[i];item=this.get(id);if(item){this._ids[id]=true;addedIds.push(id)}}break;case\"update\":for(i=0,len=ids.length;i<len;i++){id=ids[i];item=this.get(id);if(item){if(this._ids[id]){updatedIds.push(id);updatedItems.push(params.data[i]);oldItems.push(params.oldData[i])}else{this._ids[id]=true;addedIds.push(id)}}else{if(this._ids[id]){delete this._ids[id];removedIds.push(id);removedItems.push(params.oldData[i])}else{}}}break;case\"remove\":for(i=0,len=ids.length;i<len;i++){id=ids[i];if(this._ids[id]){delete this._ids[id];removedIds.push(id);removedItems.push(params.oldData[i])}}break}this.length+=addedIds.length-removedIds.length;if(addedIds.length){this._trigger(\"add\",{items:addedIds},senderId)}if(updatedIds.length){this._trigger(\"update\",{items:updatedIds,oldData:oldItems,data:updatedItems},senderId)}if(removedIds.length){this._trigger(\"remove\",{items:removedIds,oldData:removedItems},senderId)}}};DataView.prototype.on=DataSet.prototype.on;DataView.prototype.off=DataSet.prototype.off;DataView.prototype._trigger=DataSet.prototype._trigger;DataView.prototype.subscribe=DataView.prototype.on;DataView.prototype.unsubscribe=DataView.prototype.off;module.exports=DataView},function(module,exports,__webpack_require__){var store=__webpack_require__(57)(\"wks\");var uid=__webpack_require__(40);var Symbol=__webpack_require__(18).Symbol;var USE_SYMBOL=typeof Symbol==\"function\";var $exports=module.exports=function(name){return store[name]||(store[name]=USE_SYMBOL&&Symbol[name]||(USE_SYMBOL?Symbol:uid)(\"Symbol.\"+name))};$exports.store=store},function(module,exports,__webpack_require__){\"use strict\";exports.prepareElements=function(JSONcontainer){for(var elementType in JSONcontainer){if(JSONcontainer.hasOwnProperty(elementType)){JSONcontainer[elementType].redundant=JSONcontainer[elementType].used;JSONcontainer[elementType].used=[]}}};exports.cleanupElements=function(JSONcontainer){for(var elementType in JSONcontainer){if(JSONcontainer.hasOwnProperty(elementType)){if(JSONcontainer[elementType].redundant){for(var i=0;i<JSONcontainer[elementType].redundant.length;i++){JSONcontainer[elementType].redundant[i].parentNode.removeChild(JSONcontainer[elementType].redundant[i])}JSONcontainer[elementType].redundant=[]}}}};exports.resetElements=function(JSONcontainer){exports.prepareElements(JSONcontainer);exports.cleanupElements(JSONcontainer);exports.prepareElements(JSONcontainer)};exports.getSVGElement=function(elementType,JSONcontainer,svgContainer){var element;if(JSONcontainer.hasOwnProperty(elementType)){if(JSONcontainer[elementType].redundant.length>0){element=JSONcontainer[elementType].redundant[0];JSONcontainer[elementType].redundant.shift()}else{element=document.createElementNS(\"http://www.w3.org/2000/svg\",elementType);svgContainer.appendChild(element)}}else{element=document.createElementNS(\"http://www.w3.org/2000/svg\",elementType);JSONcontainer[elementType]={used:[],redundant:[]};svgContainer.appendChild(element)}JSONcontainer[elementType].used.push(element);return element};exports.getDOMElement=function(elementType,JSONcontainer,DOMContainer,insertBefore){var element;if(JSONcontainer.hasOwnProperty(elementType)){if(JSONcontainer[elementType].redundant.length>0){element=JSONcontainer[elementType].redundant[0];JSONcontainer[elementType].redundant.shift()}else{element=document.createElement(elementType);if(insertBefore!==undefined){DOMContainer.insertBefore(element,insertBefore)}else{DOMContainer.appendChild(element)}}}else{element=document.createElement(elementType);JSONcontainer[elementType]={used:[],redundant:[]};if(insertBefore!==undefined){DOMContainer.insertBefore(element,insertBefore)}else{DOMContainer.appendChild(element)}}JSONcontainer[elementType].used.push(element);return element};exports.drawPoint=function(x,y,groupTemplate,JSONcontainer,svgContainer,labelObj){var point;if(groupTemplate.style==\"circle\"){point=exports.getSVGElement(\"circle\",JSONcontainer,svgContainer);point.setAttributeNS(null,\"cx\",x);point.setAttributeNS(null,\"cy\",y);point.setAttributeNS(null,\"r\",.5*groupTemplate.size)}else{point=exports.getSVGElement(\"rect\",JSONcontainer,svgContainer);point.setAttributeNS(null,\"x\",x-.5*groupTemplate.size);point.setAttributeNS(null,\"y\",y-.5*groupTemplate.size);point.setAttributeNS(null,\"width\",groupTemplate.size);point.setAttributeNS(null,\"height\",groupTemplate.size)}if(groupTemplate.styles!==undefined){point.setAttributeNS(null,\"style\",groupTemplate.styles)}point.setAttributeNS(null,\"class\",groupTemplate.className+\" vis-point\");if(labelObj){var label=exports.getSVGElement(\"text\",JSONcontainer,svgContainer);if(labelObj.xOffset){x=x+labelObj.xOffset}if(labelObj.yOffset){y=y+labelObj.yOffset}if(labelObj.content){label.textContent=labelObj.content}if(labelObj.className){label.setAttributeNS(null,\"class\",labelObj.className+\" vis-label\")}label.setAttributeNS(null,\"x\",x);label.setAttributeNS(null,\"y\",y)}return point};exports.drawBar=function(x,y,width,height,className,JSONcontainer,svgContainer,style){if(height!=0){if(height<0){height*=-1;y-=height}var rect=exports.getSVGElement(\"rect\",JSONcontainer,svgContainer);rect.setAttributeNS(null,\"x\",x-.5*width);rect.setAttributeNS(null,\"y\",y);rect.setAttributeNS(null,\"width\",width);rect.setAttributeNS(null,\"height\",height);rect.setAttributeNS(null,\"class\",className);if(style){rect.setAttributeNS(null,\"style\",style)}}}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.printStyle=undefined;var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var errorFound=false;var allOptions=void 0;var printStyle=\"background: #FFeeee; color: #dd0000\";var Validator=function(){function Validator(){(0,_classCallCheck3[\"default\"])(this,Validator)}(0,_createClass3[\"default\"])(Validator,null,[{key:\"validate\",value:function validate(options,referenceOptions,subObject){errorFound=false;allOptions=referenceOptions;var usedOptions=referenceOptions;if(subObject!==undefined){usedOptions=referenceOptions[subObject]}Validator.parse(options,usedOptions,[]);return errorFound}},{key:\"parse\",value:function parse(options,referenceOptions,path){for(var option in options){if(options.hasOwnProperty(option)){Validator.check(option,options,referenceOptions,path)}}}},{key:\"check\",value:function check(option,options,referenceOptions,path){if(referenceOptions[option]===undefined&&referenceOptions.__any__===undefined){Validator.getSuggestion(option,referenceOptions,path);return}var referenceOption=option;var is_object=true;if(referenceOptions[option]===undefined&&referenceOptions.__any__!==undefined){referenceOption=\"__any__\";is_object=Validator.getType(options[option])===\"object\"}else{}var refOptionObj=referenceOptions[referenceOption];if(is_object&&refOptionObj.__type__!==undefined){refOptionObj=refOptionObj.__type__}Validator.checkFields(option,options,referenceOptions,referenceOption,refOptionObj,path)}},{key:\"checkFields\",value:function checkFields(option,options,referenceOptions,referenceOption,refOptionObj,path){var log=function log(message){console.log(\"%c\"+message+Validator.printLocation(path,option),printStyle)};var optionType=Validator.getType(options[option]);var refOptionType=refOptionObj[optionType];if(refOptionType!==undefined){if(Validator.getType(refOptionType)===\"array\"&&refOptionType.indexOf(options[option])===-1){log('Invalid option detected in \"'+option+'\".'+\" Allowed values are:\"+Validator.print(refOptionType)+' not \"'+options[option]+'\". ');errorFound=true}else if(optionType===\"object\"&&referenceOption!==\"__any__\"){path=util.copyAndExtendArray(path,option);Validator.parse(options[option],referenceOptions[referenceOption],path)}}else if(refOptionObj[\"any\"]===undefined){log('Invalid type received for \"'+option+'\". Expected: '+Validator.print((0,_keys2[\"default\"])(refOptionObj))+\". Received [\"+optionType+'] \"'+options[option]+'\"');errorFound=true}}},{key:\"getType\",value:function getType(object){var type=typeof object===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(object);if(type===\"object\"){if(object===null){return\"null\"}if(object instanceof Boolean){return\"boolean\"}if(object instanceof Number){return\"number\"}if(object instanceof String){return\"string\"}if(Array.isArray(object)){return\"array\"}if(object instanceof Date){return\"date\"}if(object.nodeType!==undefined){return\"dom\"}if(object._isAMomentObject===true){return\"moment\"}return\"object\"}else if(type===\"number\"){return\"number\"}else if(type===\"boolean\"){return\"boolean\"}else if(type===\"string\"){return\"string\"}else if(type===undefined){return\"undefined\"}return type}},{key:\"getSuggestion\",value:function getSuggestion(option,options,path){var localSearch=Validator.findInOptions(option,options,path,false);var globalSearch=Validator.findInOptions(option,allOptions,[],true);var localSearchThreshold=8;var globalSearchThreshold=4;var msg=void 0;if(localSearch.indexMatch!==undefined){msg=\" in \"+Validator.printLocation(localSearch.path,option,\"\")+'Perhaps it was incomplete? Did you mean: \"'+localSearch.indexMatch+'\"?\\n\\n'}else if(globalSearch.distance<=globalSearchThreshold&&localSearch.distance>globalSearch.distance){msg=\" in \"+Validator.printLocation(localSearch.path,option,\"\")+\"Perhaps it was misplaced? Matching option found at: \"+Validator.printLocation(globalSearch.path,globalSearch.closestMatch,\"\")}else if(localSearch.distance<=localSearchThreshold){msg='. Did you mean \"'+localSearch.closestMatch+'\"?'+Validator.printLocation(localSearch.path,option)}else{msg=\". Did you mean one of these: \"+Validator.print((0,_keys2[\"default\"])(options))+Validator.printLocation(path,option)}console.log('%cUnknown option detected: \"'+option+'\"'+msg,printStyle);errorFound=true}},{key:\"findInOptions\",value:function findInOptions(option,options,path){var recursive=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;var min=1e9;var closestMatch=\"\";var closestMatchPath=[];var lowerCaseOption=option.toLowerCase();var indexMatch=undefined;for(var op in options){var distance=void 0;if(options[op].__type__!==undefined&&recursive===true){var result=Validator.findInOptions(option,options[op],util.copyAndExtendArray(path,op));if(min>result.distance){closestMatch=result.closestMatch;closestMatchPath=result.path;min=result.distance;indexMatch=result.indexMatch}}else{if(op.toLowerCase().indexOf(lowerCaseOption)!==-1){indexMatch=op}distance=Validator.levenshteinDistance(option,op);if(min>distance){closestMatch=op;closestMatchPath=util.copyArray(path);min=distance}}}return{closestMatch:closestMatch,path:closestMatchPath,distance:min,indexMatch:indexMatch}}},{key:\"printLocation\",value:function printLocation(path,option){var prefix=arguments.length>2&&arguments[2]!==undefined?arguments[2]:\"Problem value found at: \\n\";var str=\"\\n\\n\"+prefix+\"options = {\\n\";for(var i=0;i<path.length;i++){for(var j=0;j<i+1;j++){str+=\" \"}str+=path[i]+\": {\\n\"}for(var _j=0;_j<path.length+1;_j++){str+=\" \"}str+=option+\"\\n\";for(var _i=0;_i<path.length+1;_i++){for(var _j2=0;_j2<path.length-_i;_j2++){str+=\" \"}str+=\"}\\n\"}return str+\"\\n\\n\"}},{key:\"print\",value:function print(options){return(0,_stringify2[\"default\"])(options).replace(/(\\\")|(\\[)|(\\])|(,\"__type__\")/g,\"\").replace(/(\\,)/g,\", \")}},{key:\"levenshteinDistance\",value:function levenshteinDistance(a,b){if(a.length===0)return b.length;if(b.length===0)return a.length;var matrix=[];var i;for(i=0;i<=b.length;i++){matrix[i]=[i]}var j;for(j=0;j<=a.length;j++){matrix[0][j]=j}for(i=1;i<=b.length;i++){for(j=1;j<=a.length;j++){if(b.charAt(i-1)==a.charAt(j-1)){matrix[i][j]=matrix[i-1][j-1]}else{matrix[i][j]=Math.min(matrix[i-1][j-1]+1,Math.min(matrix[i][j-1]+1,matrix[i-1][j]+1))}}}return matrix[b.length][a.length]}}]);return Validator}();exports[\"default\"]=Validator;exports.printStyle=printStyle},function(module,exports,__webpack_require__){\"use strict\";var util=__webpack_require__(2);function Component(body,options){this.options=null;this.props=null}Component.prototype.setOptions=function(options){if(options){util.extend(this.options,options)}};Component.prototype.redraw=function(){return false};Component.prototype.destroy=function(){};Component.prototype._isResized=function(){var resized=this.props._previousWidth!==this.props.width||this.props._previousHeight!==this.props.height;this.props._previousWidth=this.props.width;this.props._previousHeight=this.props.height;return resized};module.exports=Component},function(module,exports,__webpack_require__){var global=__webpack_require__(18);var core=__webpack_require__(7);var ctx=__webpack_require__(80);var hide=__webpack_require__(26);var PROTOTYPE=\"prototype\";var $export=function(type,name,source){var IS_FORCED=type&$export.F;var IS_GLOBAL=type&$export.G;var IS_STATIC=type&$export.S;var IS_PROTO=type&$export.P;var IS_BIND=type&$export.B;var IS_WRAP=type&$export.W;var exports=IS_GLOBAL?core:core[name]||(core[name]={});var expProto=exports[PROTOTYPE];var target=IS_GLOBAL?global:IS_STATIC?global[name]:(global[name]||{})[PROTOTYPE];var key,own,out;if(IS_GLOBAL)source=name;for(key in source){own=!IS_FORCED&&target&&target[key]!==undefined;if(own&&key in exports)continue;out=own?target[key]:source[key];exports[key]=IS_GLOBAL&&typeof target[key]!=\"function\"?source[key]:IS_BIND&&own?ctx(out,global):IS_WRAP&&target[key]==out?function(C){var F=function(a,b,c){if(this instanceof C){switch(arguments.length){case 0:return new C;case 1:return new C(a);case 2:return new C(a,b)}return new C(a,b,c)}return C.apply(this,arguments)};F[PROTOTYPE]=C[PROTOTYPE];return F}(out):IS_PROTO&&typeof out==\"function\"?ctx(Function.call,out):out;if(IS_PROTO){(exports.virtual||(exports.virtual={}))[key]=out;if(type&$export.R&&expProto&&!expProto[key])hide(expProto,key,out)}}};$export.F=1;$export.G=2;$export.S=4;$export.P=8;$export.B=16;$export.W=32;$export.U=64;$export.R=128;module.exports=$export},function(module,exports){var global=module.exports=typeof window!=\"undefined\"&&window.Math==Math?window:typeof self!=\"undefined\"&&self.Math==Math?self:Function(\"return this\")();if(typeof __g==\"number\")__g=global},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(160),__esModule:true}},function(module,exports,__webpack_require__){var anObject=__webpack_require__(27);var IE8_DOM_DEFINE=__webpack_require__(81);var toPrimitive=__webpack_require__(53);var dP=Object.defineProperty;exports.f=__webpack_require__(21)?Object.defineProperty:function defineProperty(O,P,Attributes){anObject(O);P=toPrimitive(P,true);anObject(Attributes);if(IE8_DOM_DEFINE)try{return dP(O,P,Attributes)}catch(e){}if(\"get\"in Attributes||\"set\"in Attributes)throw TypeError(\"Accessors not supported!\");if(\"value\"in Attributes)O[P]=Attributes.value;return O}},function(module,exports,__webpack_require__){module.exports=!__webpack_require__(28)(function(){return Object.defineProperty({},\"a\",{get:function(){return 7}}).a!=7})},function(module,exports){var hasOwnProperty={}.hasOwnProperty;module.exports=function(it,key){return hasOwnProperty.call(it,key)}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var NodeBase=function(){function NodeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,NodeBase);this.body=body;this.labelModule=labelModule;this.setOptions(options);this.top=undefined;this.left=undefined;this.height=undefined;this.width=undefined;this.radius=undefined;this.margin=undefined;this.refreshNeeded=true;this.boundingBox={top:0,left:0,right:0,bottom:0}}(0,_createClass3[\"default\"])(NodeBase,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"_setMargins\",value:function _setMargins(labelModule){this.margin={};if(this.options.margin){if((0,_typeof3[\"default\"])(this.options.margin)==\"object\"){this.margin.top=this.options.margin.top;this.margin.right=this.options.margin.right;this.margin.bottom=this.options.margin.bottom;this.margin.left=this.options.margin.left}else{this.margin.top=this.options.margin;this.margin.right=this.options.margin;this.margin.bottom=this.options.margin;this.margin.left=this.options.margin}}labelModule.adjustSizes(this.margin)}},{key:\"_distanceToBorder\",value:function _distanceToBorder(ctx,angle){var borderWidth=this.options.borderWidth;this.resize(ctx);return Math.min(Math.abs(this.width/2/Math.cos(angle)),Math.abs(this.height/2/Math.sin(angle)))+borderWidth}},{key:\"enableShadow\",value:function enableShadow(ctx,values){if(values.shadow){ctx.shadowColor=values.shadowColor;ctx.shadowBlur=values.shadowSize;ctx.shadowOffsetX=values.shadowX;ctx.shadowOffsetY=values.shadowY}}},{key:\"disableShadow\",value:function disableShadow(ctx,values){if(values.shadow){ctx.shadowColor=\"rgba(0,0,0,0)\";ctx.shadowBlur=0;ctx.shadowOffsetX=0;ctx.shadowOffsetY=0}}},{key:\"enableBorderDashes\",value:function enableBorderDashes(ctx,values){if(values.borderDashes!==false){if(ctx.setLineDash!==undefined){var dashes=values.borderDashes;if(dashes===true){dashes=[5,15]}ctx.setLineDash(dashes)}else{console.warn(\"setLineDash is not supported in this browser. The dashed borders cannot be used.\");this.options.shapeProperties.borderDashes=false;values.borderDashes=false}}}},{key:\"disableBorderDashes\",value:function disableBorderDashes(ctx,values){if(values.borderDashes!==false){if(ctx.setLineDash!==undefined){ctx.setLineDash([0])}else{console.warn(\"setLineDash is not supported in this browser. The dashed borders cannot be used.\");this.options.shapeProperties.borderDashes=false;values.borderDashes=false}}}},{key:\"needsRefresh\",value:function needsRefresh(selected,hover){if(this.refreshNeeded===true){this.refreshNeeded=false;return true}return this.width===undefined||this.labelModule.differentState(selected,hover)}},{key:\"initContextForDraw\",value:function initContextForDraw(ctx,values){var borderWidth=values.borderWidth/this.body.view.scale;ctx.lineWidth=Math.min(this.width,borderWidth);ctx.strokeStyle=values.borderColor;ctx.fillStyle=values.color}},{key:\"performStroke\",value:function performStroke(ctx,values){var borderWidth=values.borderWidth/this.body.view.scale;ctx.save();if(borderWidth>0){this.enableBorderDashes(ctx,values);ctx.stroke();this.disableBorderDashes(ctx,values)}ctx.restore()}},{key:\"performFill\",value:function performFill(ctx,values){this.enableShadow(ctx,values);ctx.fill();this.disableShadow(ctx,values);this.performStroke(ctx,values)}},{key:\"_addBoundingBoxMargin\",value:function _addBoundingBoxMargin(margin){this.boundingBox.left-=margin;this.boundingBox.top-=margin;this.boundingBox.bottom+=margin;this.boundingBox.right+=margin}},{key:\"_updateBoundingBox\",value:function _updateBoundingBox(x,y,ctx,selected,hover){if(ctx!==undefined){this.resize(ctx,selected,hover)}this.left=x-this.width/2;this.top=y-this.height/2;this.boundingBox.left=this.left;this.boundingBox.top=this.top;this.boundingBox.bottom=this.top+this.height;this.boundingBox.right=this.left+this.width}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y,ctx,selected,hover){this._updateBoundingBox(x,y,ctx,selected,hover)}},{key:\"getDimensionsFromLabel\",value:function getDimensionsFromLabel(ctx,selected,hover){this.textSize=this.labelModule.getTextSize(ctx,selected,hover);var width=this.textSize.width;var height=this.textSize.height;var DEFAULT_SIZE=14;if(width===0){width=DEFAULT_SIZE;height=DEFAULT_SIZE}return{width:width,height:height}}}]);return NodeBase}();exports[\"default\"]=NodeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2)\n;var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var ShapeBase=function(_NodeBase){(0,_inherits3[\"default\"])(ShapeBase,_NodeBase);function ShapeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,ShapeBase);return(0,_possibleConstructorReturn3[\"default\"])(this,(ShapeBase.__proto__||(0,_getPrototypeOf2[\"default\"])(ShapeBase)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(ShapeBase,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;var values=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{size:this.options.size};if(this.needsRefresh(selected,hover)){this.labelModule.getTextSize(ctx,selected,hover);var size=2*values.size;this.width=size;this.height=size;this.radius=.5*this.width}}},{key:\"_drawShape\",value:function _drawShape(ctx,shape,sizeMultiplier,x,y,selected,hover,values){this.resize(ctx,selected,hover,values);this.left=x-this.width/2;this.top=y-this.height/2;this.initContextForDraw(ctx,values);ctx[shape](x,y,values.size);this.performFill(ctx,values);if(this.options.label!==undefined){this.labelModule.calculateLabelSize(ctx,selected,hover,x,y,\"hanging\");var yLabel=y+.5*this.height+.5*this.labelModule.size.height;this.labelModule.draw(ctx,x,yLabel,selected,hover,\"hanging\")}this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.size;this.boundingBox.left=x-this.options.size;this.boundingBox.right=x+this.options.size;this.boundingBox.bottom=y+this.options.size;if(this.options.label!==undefined&&this.labelModule.size.width>0){this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelModule.size.height)}}}]);return ShapeBase}(_NodeBase3[\"default\"]);exports[\"default\"]=ShapeBase},function(module,exports,__webpack_require__){var IObject=__webpack_require__(78);var defined=__webpack_require__(51);module.exports=function(it){return IObject(defined(it))}},function(module,exports,__webpack_require__){var dP=__webpack_require__(20);var createDesc=__webpack_require__(39);module.exports=__webpack_require__(21)?function(object,key,value){return dP.f(object,key,createDesc(1,value))}:function(object,key,value){object[key]=value;return object}},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);module.exports=function(it){if(!isObject(it))throw TypeError(it+\" is not an object!\");return it}},function(module,exports){module.exports=function(exec){try{return!!exec()}catch(e){return true}}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(138),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _isIterable2=__webpack_require__(188);var _isIterable3=_interopRequireDefault(_isIterable2);var _getIterator2=__webpack_require__(77);var _getIterator3=_interopRequireDefault(_getIterator2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(){function sliceIterator(arr,i){var _arr=[];var _n=true;var _d=false;var _e=undefined;try{for(var _i=(0,_getIterator3.default)(arr),_s;!(_n=(_s=_i.next()).done);_n=true){_arr.push(_s.value);if(i&&_arr.length===i)break}}catch(err){_d=true;_e=err}finally{try{if(!_n&&_i[\"return\"])_i[\"return\"]()}finally{if(_d)throw _e}}return _arr}return function(arr,i){if(Array.isArray(arr)){return arr}else if((0,_isIterable3.default)(Object(arr))){return sliceIterator(arr,i)}else{throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}}}()},function(module,exports){module.exports={}},function(module,exports){module.exports=function(it){return typeof it===\"object\"?it!==null:typeof it===\"function\"}},function(module,exports,__webpack_require__){var $keys=__webpack_require__(84);var enumBugKeys=__webpack_require__(58);module.exports=Object.keys||function keys(O){return $keys(O,enumBugKeys)}},function(module,exports,__webpack_require__){\"use strict\";function Point3d(x,y,z){this.x=x!==undefined?x:0;this.y=y!==undefined?y:0;this.z=z!==undefined?z:0}Point3d.subtract=function(a,b){var sub=new Point3d;sub.x=a.x-b.x;sub.y=a.y-b.y;sub.z=a.z-b.z;return sub};Point3d.add=function(a,b){var sum=new Point3d;sum.x=a.x+b.x;sum.y=a.y+b.y;sum.z=a.z+b.z;return sum};Point3d.avg=function(a,b){return new Point3d((a.x+b.x)/2,(a.y+b.y)/2,(a.z+b.z)/2)};Point3d.crossProduct=function(a,b){var crossproduct=new Point3d;crossproduct.x=a.y*b.z-a.z*b.y;crossproduct.y=a.z*b.x-a.x*b.z;crossproduct.z=a.x*b.y-a.y*b.x;return crossproduct};Point3d.prototype.length=function(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)};module.exports=Point3d},function(module,exports,__webpack_require__){\"use strict\";var __WEBPACK_AMD_DEFINE_FACTORY__,__WEBPACK_AMD_DEFINE_ARRAY__,__WEBPACK_AMD_DEFINE_RESULT__;(function(root,factory){if(true){!(__WEBPACK_AMD_DEFINE_ARRAY__=[],__WEBPACK_AMD_DEFINE_FACTORY__=factory,__WEBPACK_AMD_DEFINE_RESULT__=typeof __WEBPACK_AMD_DEFINE_FACTORY__===\"function\"?__WEBPACK_AMD_DEFINE_FACTORY__.apply(exports,__WEBPACK_AMD_DEFINE_ARRAY__):__WEBPACK_AMD_DEFINE_FACTORY__,__WEBPACK_AMD_DEFINE_RESULT__!==undefined&&(module.exports=__WEBPACK_AMD_DEFINE_RESULT__))}else if(typeof exports===\"object\"){module.exports=factory()}else{root.keycharm=factory()}})(this,function(){function keycharm(options){var preventDefault=options&&options.preventDefault||false;var container=options&&options.container||window;var _exportFunctions={};var _bound={keydown:{},keyup:{}};var _keys={};var i;for(i=97;i<=122;i++){_keys[String.fromCharCode(i)]={code:65+(i-97),shift:false}}for(i=65;i<=90;i++){_keys[String.fromCharCode(i)]={code:i,shift:true}}for(i=0;i<=9;i++){_keys[\"\"+i]={code:48+i,shift:false}}for(i=1;i<=12;i++){_keys[\"F\"+i]={code:111+i,shift:false}}for(i=0;i<=9;i++){_keys[\"num\"+i]={code:96+i,shift:false}}_keys[\"num*\"]={code:106,shift:false};_keys[\"num+\"]={code:107,shift:false};_keys[\"num-\"]={code:109,shift:false};_keys[\"num/\"]={code:111,shift:false};_keys[\"num.\"]={code:110,shift:false};_keys[\"left\"]={code:37,shift:false};_keys[\"up\"]={code:38,shift:false};_keys[\"right\"]={code:39,shift:false};_keys[\"down\"]={code:40,shift:false};_keys[\"space\"]={code:32,shift:false};_keys[\"enter\"]={code:13,shift:false};_keys[\"shift\"]={code:16,shift:undefined};_keys[\"esc\"]={code:27,shift:false};_keys[\"backspace\"]={code:8,shift:false};_keys[\"tab\"]={code:9,shift:false};_keys[\"ctrl\"]={code:17,shift:false};_keys[\"alt\"]={code:18,shift:false};_keys[\"delete\"]={code:46,shift:false};_keys[\"pageup\"]={code:33,shift:false};_keys[\"pagedown\"]={code:34,shift:false};_keys[\"=\"]={code:187,shift:false};_keys[\"-\"]={code:189,shift:false};_keys[\"]\"]={code:221,shift:false};_keys[\"[\"]={code:219,shift:false};var down=function(event){handleEvent(event,\"keydown\")};var up=function(event){handleEvent(event,\"keyup\")};var handleEvent=function(event,type){if(_bound[type][event.keyCode]!==undefined){var bound=_bound[type][event.keyCode];for(var i=0;i<bound.length;i++){if(bound[i].shift===undefined){bound[i].fn(event)}else if(bound[i].shift==true&&event.shiftKey==true){bound[i].fn(event)}else if(bound[i].shift==false&&event.shiftKey==false){bound[i].fn(event)}}if(preventDefault==true){event.preventDefault()}}};_exportFunctions.bind=function(key,callback,type){if(type===undefined){type=\"keydown\"}if(_keys[key]===undefined){throw new Error(\"unsupported key: \"+key)}if(_bound[type][_keys[key].code]===undefined){_bound[type][_keys[key].code]=[]}_bound[type][_keys[key].code].push({fn:callback,shift:_keys[key].shift})};_exportFunctions.bindAll=function(callback,type){if(type===undefined){type=\"keydown\"}for(var key in _keys){if(_keys.hasOwnProperty(key)){_exportFunctions.bind(key,callback,type)}}};_exportFunctions.getKey=function(event){for(var key in _keys){if(_keys.hasOwnProperty(key)){if(event.shiftKey==true&&_keys[key].shift==true&&event.keyCode==_keys[key].code){return key}else if(event.shiftKey==false&&_keys[key].shift==false&&event.keyCode==_keys[key].code){return key}else if(event.keyCode==_keys[key].code&&key==\"shift\"){return key}}}return\"unknown key, currently not supported\"};_exportFunctions.unbind=function(key,callback,type){if(type===undefined){type=\"keydown\"}if(_keys[key]===undefined){throw new Error(\"unsupported key: \"+key)}if(callback!==undefined){var newBindings=[];var bound=_bound[type][_keys[key].code];if(bound!==undefined){for(var i=0;i<bound.length;i++){if(!(bound[i].fn==callback&&bound[i].shift==_keys[key].shift)){newBindings.push(_bound[type][_keys[key].code][i])}}}_bound[type][_keys[key].code]=newBindings}else{_bound[type][_keys[key].code]=[]}};_exportFunctions.reset=function(){_bound={keydown:{},keyup:{}}};_exportFunctions.destroy=function(){_bound={keydown:{},keyup:{}};container.removeEventListener(\"keydown\",down,true);container.removeEventListener(\"keyup\",up,true)};container.addEventListener(\"keydown\",down,true);container.addEventListener(\"keyup\",up,true);return _exportFunctions}return keycharm})},function(module,exports,__webpack_require__){\"use strict\";exports.convertHiddenOptions=function(moment,body,hiddenDates){if(hiddenDates&&!Array.isArray(hiddenDates)){return exports.convertHiddenOptions(moment,body,[hiddenDates])}body.hiddenDates=[];if(hiddenDates){if(Array.isArray(hiddenDates)==true){for(var i=0;i<hiddenDates.length;i++){if(hiddenDates[i].repeat===undefined){var dateItem={};dateItem.start=moment(hiddenDates[i].start).toDate().valueOf();dateItem.end=moment(hiddenDates[i].end).toDate().valueOf();body.hiddenDates.push(dateItem)}}body.hiddenDates.sort(function(a,b){return a.start-b.start})}}};exports.updateHiddenDates=function(moment,body,hiddenDates){if(hiddenDates&&!Array.isArray(hiddenDates)){return exports.updateHiddenDates(moment,body,[hiddenDates])}if(hiddenDates&&body.domProps.centerContainer.width!==undefined){exports.convertHiddenOptions(moment,body,hiddenDates);var start=moment(body.range.start);var end=moment(body.range.end);var totalRange=body.range.end-body.range.start;var pixelTime=totalRange/body.domProps.centerContainer.width;for(var i=0;i<hiddenDates.length;i++){if(hiddenDates[i].repeat!==undefined){var startDate=moment(hiddenDates[i].start);var endDate=moment(hiddenDates[i].end);if(startDate._d==\"Invalid Date\"){throw new Error(\"Supplied start date is not valid: \"+hiddenDates[i].start)}if(endDate._d==\"Invalid Date\"){throw new Error(\"Supplied end date is not valid: \"+hiddenDates[i].end)}var duration=endDate-startDate;if(duration>=4*pixelTime){var offset=0;var runUntil=end.clone();switch(hiddenDates[i].repeat){case\"daily\":if(startDate.day()!=endDate.day()){offset=1}startDate.dayOfYear(start.dayOfYear());startDate.year(start.year());startDate.subtract(7,\"days\");endDate.dayOfYear(start.dayOfYear());endDate.year(start.year());endDate.subtract(7-offset,\"days\");runUntil.add(1,\"weeks\");break;case\"weekly\":var dayOffset=endDate.diff(startDate,\"days\");var day=startDate.day();startDate.date(start.date());startDate.month(start.month());startDate.year(start.year());endDate=startDate.clone();startDate.day(day);endDate.day(day);endDate.add(dayOffset,\"days\");startDate.subtract(1,\"weeks\");endDate.subtract(1,\"weeks\");runUntil.add(1,\"weeks\");break;case\"monthly\":if(startDate.month()!=endDate.month()){offset=1}startDate.month(start.month());startDate.year(start.year());startDate.subtract(1,\"months\");endDate.month(start.month());endDate.year(start.year());endDate.subtract(1,\"months\");endDate.add(offset,\"months\");runUntil.add(1,\"months\");break;case\"yearly\":if(startDate.year()!=endDate.year()){offset=1}startDate.year(start.year());startDate.subtract(1,\"years\");endDate.year(start.year());endDate.subtract(1,\"years\");endDate.add(offset,\"years\");runUntil.add(1,\"years\");break;default:console.log(\"Wrong repeat format, allowed are: daily, weekly, monthly, yearly. Given:\",hiddenDates[i].repeat);return}while(startDate<runUntil){body.hiddenDates.push({start:startDate.valueOf(),end:endDate.valueOf()});switch(hiddenDates[i].repeat){case\"daily\":startDate.add(1,\"days\");endDate.add(1,\"days\");break;case\"weekly\":startDate.add(1,\"weeks\");endDate.add(1,\"weeks\");break;case\"monthly\":startDate.add(1,\"months\");endDate.add(1,\"months\");break;case\"yearly\":startDate.add(1,\"y\");endDate.add(1,\"y\");break;default:console.log(\"Wrong repeat format, allowed are: daily, weekly, monthly, yearly. Given:\",hiddenDates[i].repeat);return}}body.hiddenDates.push({start:startDate.valueOf(),end:endDate.valueOf()})}}}exports.removeDuplicates(body);var startHidden=exports.isHidden(body.range.start,body.hiddenDates);var endHidden=exports.isHidden(body.range.end,body.hiddenDates);var rangeStart=body.range.start;var rangeEnd=body.range.end;if(startHidden.hidden==true){rangeStart=body.range.startToFront==true?startHidden.startDate-1:startHidden.endDate+1}if(endHidden.hidden==true){rangeEnd=body.range.endToFront==true?endHidden.startDate-1:endHidden.endDate+1}if(startHidden.hidden==true||endHidden.hidden==true){body.range._applyRange(rangeStart,rangeEnd)}}};exports.removeDuplicates=function(body){var hiddenDates=body.hiddenDates;var safeDates=[];for(var i=0;i<hiddenDates.length;i++){for(var j=0;j<hiddenDates.length;j++){if(i!=j&&hiddenDates[j].remove!=true&&hiddenDates[i].remove!=true){if(hiddenDates[j].start>=hiddenDates[i].start&&hiddenDates[j].end<=hiddenDates[i].end){hiddenDates[j].remove=true}else if(hiddenDates[j].start>=hiddenDates[i].start&&hiddenDates[j].start<=hiddenDates[i].end){hiddenDates[i].end=hiddenDates[j].end;hiddenDates[j].remove=true}else if(hiddenDates[j].end>=hiddenDates[i].start&&hiddenDates[j].end<=hiddenDates[i].end){hiddenDates[i].start=hiddenDates[j].start;hiddenDates[j].remove=true}}}}for(i=0;i<hiddenDates.length;i++){if(hiddenDates[i].remove!==true){safeDates.push(hiddenDates[i])}}body.hiddenDates=safeDates;body.hiddenDates.sort(function(a,b){return a.start-b.start})};exports.printDates=function(dates){for(var i=0;i<dates.length;i++){console.log(i,new Date(dates[i].start),new Date(dates[i].end),dates[i].start,dates[i].end,dates[i].remove)}};exports.stepOverHiddenDates=function(moment,timeStep,previousTime){var stepInHidden=false;var currentValue=timeStep.current.valueOf();for(var i=0;i<timeStep.hiddenDates.length;i++){var startDate=timeStep.hiddenDates[i].start;var endDate=timeStep.hiddenDates[i].end;if(currentValue>=startDate&¤tValue<endDate){stepInHidden=true;break}}if(stepInHidden==true&¤tValue<timeStep._end.valueOf()&¤tValue!=previousTime){var prevValue=moment(previousTime);var newValue=moment(endDate);if(prevValue.year()!=newValue.year()){timeStep.switchedYear=true}else if(prevValue.month()!=newValue.month()){timeStep.switchedMonth=true}else if(prevValue.dayOfYear()!=newValue.dayOfYear()){timeStep.switchedDay=true}timeStep.current=newValue}};exports.toScreen=function(Core,time,width){var conversion;if(Core.body.hiddenDates.length==0){conversion=Core.range.conversion(width);return(time.valueOf()-conversion.offset)*conversion.scale}else{var hidden=exports.isHidden(time,Core.body.hiddenDates);if(hidden.hidden==true){time=hidden.startDate}var duration=exports.getHiddenDurationBetween(Core.body.hiddenDates,Core.range.start,Core.range.end);if(time<Core.range.start){conversion=Core.range.conversion(width,duration);var hiddenBeforeStart=exports.getHiddenDurationBeforeStart(Core.body.hiddenDates,time,conversion.offset);time=Core.options.moment(time).toDate().valueOf();time=time+hiddenBeforeStart;return-(conversion.offset-time.valueOf())*conversion.scale}else if(time>Core.range.end){var rangeAfterEnd={start:Core.range.start,end:time};time=exports.correctTimeForHidden(Core.options.moment,Core.body.hiddenDates,rangeAfterEnd,time);conversion=Core.range.conversion(width,duration);return(time.valueOf()-conversion.offset)*conversion.scale}else{time=exports.correctTimeForHidden(Core.options.moment,Core.body.hiddenDates,Core.range,time);conversion=Core.range.conversion(width,duration);return(time.valueOf()-conversion.offset)*conversion.scale}}};exports.toTime=function(Core,x,width){if(Core.body.hiddenDates.length==0){var conversion=Core.range.conversion(width);return new Date(x/conversion.scale+conversion.offset)}else{var hiddenDuration=exports.getHiddenDurationBetween(Core.body.hiddenDates,Core.range.start,Core.range.end);var totalDuration=Core.range.end-Core.range.start-hiddenDuration;var partialDuration=totalDuration*x/width;var accumulatedHiddenDuration=exports.getAccumulatedHiddenDuration(Core.body.hiddenDates,Core.range,partialDuration);return new Date(accumulatedHiddenDuration+partialDuration+Core.range.start)}};exports.getHiddenDurationBetween=function(hiddenDates,start,end){var duration=0;for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=start&&endDate<end){duration+=endDate-startDate}}return duration};exports.getHiddenDurationBeforeStart=function(hiddenDates,start,end){var duration=0;for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=start&&endDate<=end){duration+=endDate-startDate}}return duration};exports.correctTimeForHidden=function(moment,hiddenDates,range,time){time=moment(time).toDate().valueOf();time-=exports.getHiddenDurationBefore(moment,hiddenDates,range,time);return time};exports.getHiddenDurationBefore=function(moment,hiddenDates,range,time){var timeOffset=0;time=moment(time).toDate().valueOf();for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=range.start&&endDate<range.end){if(time>=endDate){timeOffset+=endDate-startDate}}}return timeOffset};exports.getAccumulatedHiddenDuration=function(hiddenDates,range,requiredDuration){var hiddenDuration=0;var duration=0;var previousPoint=range.start;for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=range.start&&endDate<range.end){duration+=startDate-previousPoint;previousPoint=endDate;if(duration>=requiredDuration){break}else{hiddenDuration+=endDate-startDate}}}return hiddenDuration};exports.snapAwayFromHidden=function(hiddenDates,time,direction,correctionEnabled){var isHidden=exports.isHidden(time,hiddenDates);if(isHidden.hidden==true){if(direction<0){if(correctionEnabled==true){return isHidden.startDate-(isHidden.endDate-time)-1}else{return isHidden.startDate-1}}else{if(correctionEnabled==true){return isHidden.endDate+(time-isHidden.startDate)+1}else{return isHidden.endDate+1}}}else{return time}};exports.isHidden=function(time,hiddenDates){for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(time>=startDate&&time<endDate){return{hidden:true,startDate:startDate,endDate:endDate}}}return{hidden:false,startDate:startDate,endDate:endDate}}},function(module,exports,__webpack_require__){\"use strict\";exports.onTouch=function(hammer,callback){callback.inputHandler=function(event){if(event.isFirst){callback(event)}};hammer.on(\"hammer.input\",callback.inputHandler)};exports.onRelease=function(hammer,callback){callback.inputHandler=function(event){if(event.isFinal){callback(event)}};return hammer.on(\"hammer.input\",callback.inputHandler)};exports.offTouch=function(hammer,callback){hammer.off(\"hammer.input\",callback.inputHandler)};exports.offRelease=exports.offTouch;exports.disablePreventDefaultVertically=function(pinchRecognizer){var TOUCH_ACTION_PAN_Y=\"pan-y\";pinchRecognizer.getTouchAction=function(){return[TOUCH_ACTION_PAN_Y]};return pinchRecognizer}},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var util=__webpack_require__(2);var moment=__webpack_require__(9);function Item(data,conversion,options){this.id=null;this.parent=null;this.data=data;this.dom=null;this.conversion=conversion||{};this.options=options||{};this.selected=false;this.displayed=false;this.groupShowing=true;this.dirty=true;this.top=null;this.right=null;this.left=null;this.width=null;this.height=null;this.editable=null;this._updateEditStatus()}Item.prototype.stack=true;Item.prototype.select=function(){this.selected=true;this.dirty=true;if(this.displayed)this.redraw()};Item.prototype.unselect=function(){this.selected=false;this.dirty=true;if(this.displayed)this.redraw()};Item.prototype.setData=function(data){var groupChanged=data.group!=undefined&&this.data.group!=data.group;if(groupChanged&&this.parent!=null){this.parent.itemSet._moveToGroup(this,data.group)}if(this.parent){this.parent.stackDirty=true}var subGroupChanged=data.subgroup!=undefined&&this.data.subgroup!=data.subgroup;if(subGroupChanged&&this.parent!=null){this.parent.changeSubgroup(this,this.data.subgroup,data.subgroup)}this.data=data;this._updateEditStatus();this.dirty=true;if(this.displayed)this.redraw()};Item.prototype.setParent=function(parent){if(this.displayed){this.hide();this.parent=parent;if(this.parent){this.show()}}else{this.parent=parent}};Item.prototype.isVisible=function(range){return false};Item.prototype.show=function(){return false};Item.prototype.hide=function(){return false};Item.prototype.redraw=function(){};Item.prototype.repositionX=function(){};Item.prototype.repositionY=function(){};Item.prototype._repaintDragCenter=function(){if(this.selected&&this.options.editable.updateTime&&!this.dom.dragCenter){var me=this;var dragCenter=document.createElement(\"div\");dragCenter.className=\"vis-drag-center\";dragCenter.dragCenterItem=this;var hammer=new Hammer(dragCenter);hammer.on(\"tap\",function(event){me.parent.itemSet.body.emitter.emit(\"click\",{event:event,item:me.id})});hammer.on(\"doubletap\",function(event){event.stopPropagation();me.parent.itemSet._onUpdateItem(me);me.parent.itemSet.body.emitter.emit(\"doubleClick\",{event:event,item:me.id})});if(this.dom.box){if(this.dom.dragLeft){this.dom.box.insertBefore(dragCenter,this.dom.dragLeft)}else{this.dom.box.appendChild(dragCenter)}}else if(this.dom.point){this.dom.point.appendChild(dragCenter)}this.dom.dragCenter=dragCenter}else if(!this.selected&&this.dom.dragCenter){if(this.dom.dragCenter.parentNode){this.dom.dragCenter.parentNode.removeChild(this.dom.dragCenter)}this.dom.dragCenter=null}};Item.prototype._repaintDeleteButton=function(anchor){var editable=(this.options.editable.overrideItems||this.editable==null)&&this.options.editable.remove||!this.options.editable.overrideItems&&this.editable!=null&&this.editable.remove;if(this.selected&&editable&&!this.dom.deleteButton){var me=this;var deleteButton=document.createElement(\"div\");if(this.options.rtl){deleteButton.className=\"vis-delete-rtl\"}else{deleteButton.className=\"vis-delete\"}deleteButton.title=\"Delete this item\";new Hammer(deleteButton).on(\"tap\",function(event){event.stopPropagation();me.parent.removeFromDataSet(me)});anchor.appendChild(deleteButton);this.dom.deleteButton=deleteButton}else if(!this.selected&&this.dom.deleteButton){if(this.dom.deleteButton.parentNode){this.dom.deleteButton.parentNode.removeChild(this.dom.deleteButton)}this.dom.deleteButton=null}};Item.prototype._repaintOnItemUpdateTimeTooltip=function(anchor){if(!this.options.tooltipOnItemUpdateTime)return;var editable=(this.options.editable.updateTime||this.data.editable===true)&&this.data.editable!==false;if(this.selected&&editable&&!this.dom.onItemUpdateTimeTooltip){var onItemUpdateTimeTooltip=document.createElement(\"div\");onItemUpdateTimeTooltip.className=\"vis-onUpdateTime-tooltip\";anchor.appendChild(onItemUpdateTimeTooltip);this.dom.onItemUpdateTimeTooltip=onItemUpdateTimeTooltip}else if(!this.selected&&this.dom.onItemUpdateTimeTooltip){if(this.dom.onItemUpdateTimeTooltip.parentNode){this.dom.onItemUpdateTimeTooltip.parentNode.removeChild(this.dom.onItemUpdateTimeTooltip)}this.dom.onItemUpdateTimeTooltip=null}if(this.dom.onItemUpdateTimeTooltip){this.dom.onItemUpdateTimeTooltip.style.visibility=this.parent.itemSet.touchParams.itemIsDragging?\"visible\":\"hidden\";if(this.options.rtl){this.dom.onItemUpdateTimeTooltip.style.right=this.dom.content.style.right}else{this.dom.onItemUpdateTimeTooltip.style.left=this.dom.content.style.left}var tooltipOffset=50;var scrollTop=this.parent.itemSet.body.domProps.scrollTop;var itemDistanceFromTop;if(this.options.orientation.item==\"top\"){itemDistanceFromTop=this.top}else{itemDistanceFromTop=this.parent.height-this.top-this.height}var isCloseToTop=itemDistanceFromTop+this.parent.top-tooltipOffset<-scrollTop;if(isCloseToTop){this.dom.onItemUpdateTimeTooltip.style.bottom=\"\";this.dom.onItemUpdateTimeTooltip.style.top=this.height+2+\"px\"}else{this.dom.onItemUpdateTimeTooltip.style.top=\"\";this.dom.onItemUpdateTimeTooltip.style.bottom=this.height+2+\"px\"}var content;var templateFunction;if(this.options.tooltipOnItemUpdateTime&&this.options.tooltipOnItemUpdateTime.template){templateFunction=this.options.tooltipOnItemUpdateTime.template.bind(this);content=templateFunction(this.data)}else{content=\"start: \"+moment(this.data.start).format(\"MM/DD/YYYY hh:mm\");if(this.data.end){content+=\"<br> end: \"+moment(this.data.end).format(\"MM/DD/YYYY hh:mm\")}}this.dom.onItemUpdateTimeTooltip.innerHTML=content}};Item.prototype._updateContents=function(element){var content;var changed;var templateFunction;var itemVisibleFrameContent;var visibleFrameTemplateFunction;var itemData=this.parent.itemSet.itemsData.get(this.id);var frameElement=this.dom.box||this.dom.point;var itemVisibleFrameContentElement=frameElement.getElementsByClassName(\"vis-item-visible-frame\")[0];if(this.options.visibleFrameTemplate){visibleFrameTemplateFunction=this.options.visibleFrameTemplate.bind(this);itemVisibleFrameContent=visibleFrameTemplateFunction(itemData,frameElement)}else{itemVisibleFrameContent=\"\"}if(itemVisibleFrameContentElement){if(itemVisibleFrameContent instanceof Object&&!(itemVisibleFrameContent instanceof Element)){visibleFrameTemplateFunction(itemData,itemVisibleFrameContentElement)}else{changed=this._contentToString(this.itemVisibleFrameContent)!==this._contentToString(itemVisibleFrameContent);if(changed){if(itemVisibleFrameContent instanceof Element){itemVisibleFrameContentElement.innerHTML=\"\";itemVisibleFrameContentElement.appendChild(itemVisibleFrameContent)}else if(itemVisibleFrameContent!=undefined){itemVisibleFrameContentElement.innerHTML=itemVisibleFrameContent}else{if(!(this.data.type==\"background\"&&this.data.content===undefined)){throw new Error('Property \"content\" missing in item '+this.id)}}this.itemVisibleFrameContent=itemVisibleFrameContent}}}if(this.options.template){templateFunction=this.options.template.bind(this);content=templateFunction(itemData,element,this.data)}else{content=this.data.content}if(content instanceof Object&&!(content instanceof Element)){templateFunction(itemData,element)}else{changed=this._contentToString(this.content)!==this._contentToString(content);if(changed){if(content instanceof Element){element.innerHTML=\"\";element.appendChild(content)}else if(content!=undefined){element.innerHTML=content}else{if(!(this.data.type==\"background\"&&this.data.content===undefined)){throw new Error('Property \"content\" missing in item '+this.id)}}this.content=content}}};Item.prototype._updateDataAttributes=function(element){if(this.options.dataAttributes&&this.options.dataAttributes.length>0){var attributes=[];if(Array.isArray(this.options.dataAttributes)){attributes=this.options.dataAttributes}else if(this.options.dataAttributes==\"all\"){attributes=(0,_keys2[\"default\"])(this.data)}else{return}for(var i=0;i<attributes.length;i++){var name=attributes[i];var value=this.data[name];if(value!=null){element.setAttribute(\"data-\"+name,value)}else{element.removeAttribute(\"data-\"+name)}}}};Item.prototype._updateStyle=function(element){if(this.style){util.removeCssText(element,this.style);this.style=null}if(this.data.style){util.addCssText(element,this.data.style);this.style=this.data.style}};Item.prototype._contentToString=function(content){if(typeof content===\"string\")return content;if(content&&\"outerHTML\"in content)return content.outerHTML;return content};Item.prototype._updateEditStatus=function(){if(this.options){if(typeof this.options.editable===\"boolean\"){this.editable={updateTime:this.options.editable,updateGroup:this.options.editable,remove:this.options.editable}}else if((0,_typeof3[\"default\"])(this.options.editable)===\"object\"){this.editable={};util.selectiveExtend([\"updateTime\",\"updateGroup\",\"remove\"],this.editable,this.options.editable)}}if(!this.options||!this.options.editable||this.options.editable.overrideItems!==true){if(this.data){if(typeof this.data.editable===\"boolean\"){this.editable={updateTime:this.data.editable,updateGroup:this.data.editable,remove:this.data.editable}}else if((0,_typeof3[\"default\"])(this.data.editable)===\"object\"){this.editable={};util.selectiveExtend([\"updateTime\",\"updateGroup\",\"remove\"],this.editable,this.data.editable)}}}};Item.prototype.getWidthLeft=function(){return 0};Item.prototype.getWidthRight=function(){return 0};Item.prototype.getTitle=function(){return this.data.title};module.exports=Item},function(module,exports){module.exports=function(bitmap,value){return{enumerable:!(bitmap&1),configurable:!(bitmap&2),writable:!(bitmap&4),value:value}}},function(module,exports){var id=0;var px=Math.random();module.exports=function(key){return\"Symbol(\".concat(key===undefined?\"\":key,\")_\",(++id+px).toString(36))}},function(module,exports,__webpack_require__){var defined=__webpack_require__(51);module.exports=function(it){return Object(defined(it))}},function(module,exports){exports.f={}.propertyIsEnumerable},function(module,exports,__webpack_require__){\"use strict\";function Queue(options){this.delay=null;this.max=Infinity;this._queue=[];this._timeout=null;this._extended=null;this.setOptions(options)}Queue.prototype.setOptions=function(options){if(options&&typeof options.delay!==\"undefined\"){this.delay=options.delay}if(options&&typeof options.max!==\"undefined\"){this.max=options.max}this._flushIfNeeded()};Queue.extend=function(object,options){var queue=new Queue(options);if(object.flush!==undefined){throw new Error(\"Target object already has a property flush\")}object.flush=function(){queue.flush()};var methods=[{name:\"flush\",original:undefined}];if(options&&options.replace){for(var i=0;i<options.replace.length;i++){var name=options.replace[i];methods.push({name:name,original:object[name]});queue.replace(object,name)}}queue._extended={object:object,methods:methods};return queue};Queue.prototype.destroy=function(){this.flush();if(this._extended){var object=this._extended.object;var methods=this._extended.methods;for(var i=0;i<methods.length;i++){var method=methods[i];if(method.original){object[method.name]=method.original}else{delete object[method.name]}}this._extended=null}};Queue.prototype.replace=function(object,method){var me=this;var original=object[method];if(!original){throw new Error(\"Method \"+method+\" undefined\")}object[method]=function(){var args=[];for(var i=0;i<arguments.length;i++){args[i]=arguments[i]}me.queue({args:args,fn:original,context:this})}};Queue.prototype.queue=function(entry){if(typeof entry===\"function\"){this._queue.push({fn:entry})}else{this._queue.push(entry)}this._flushIfNeeded()};Queue.prototype._flushIfNeeded=function(){\nif(this._queue.length>this.max){this.flush()}clearTimeout(this._timeout);if(this.queue.length>0&&typeof this.delay===\"number\"){var me=this;this._timeout=setTimeout(function(){me.flush()},this.delay)}};Queue.prototype.flush=function(){while(this._queue.length>0){var entry=this._queue.shift();entry.fn.apply(entry.context||entry.fn,entry.args||[])}};module.exports=Queue},function(module,exports){module.exports=Emitter;function Emitter(obj){if(obj)return mixin(obj)}function mixin(obj){for(var key in Emitter.prototype){obj[key]=Emitter.prototype[key]}return obj}Emitter.prototype.on=Emitter.prototype.addEventListener=function(event,fn){this._callbacks=this._callbacks||{};(this._callbacks[event]=this._callbacks[event]||[]).push(fn);return this};Emitter.prototype.once=function(event,fn){var self=this;this._callbacks=this._callbacks||{};function on(){self.off(event,on);fn.apply(this,arguments)}on.fn=fn;this.on(event,on);return this};Emitter.prototype.off=Emitter.prototype.removeListener=Emitter.prototype.removeAllListeners=Emitter.prototype.removeEventListener=function(event,fn){this._callbacks=this._callbacks||{};if(0==arguments.length){this._callbacks={};return this}var callbacks=this._callbacks[event];if(!callbacks)return this;if(1==arguments.length){delete this._callbacks[event];return this}var cb;for(var i=0;i<callbacks.length;i++){cb=callbacks[i];if(cb===fn||cb.fn===fn){callbacks.splice(i,1);break}}return this};Emitter.prototype.emit=function(event){this._callbacks=this._callbacks||{};var args=[].slice.call(arguments,1),callbacks=this._callbacks[event];if(callbacks){callbacks=callbacks.slice(0);for(var i=0,len=callbacks.length;i<len;++i){callbacks[i].apply(this,args)}}return this};Emitter.prototype.listeners=function(event){this._callbacks=this._callbacks||{};return this._callbacks[event]||[]};Emitter.prototype.hasListeners=function(event){return!!this.listeners(event).length}},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Component=__webpack_require__(16);var TimeStep=__webpack_require__(66);var DateUtil=__webpack_require__(36);var moment=__webpack_require__(9);function TimeAxis(body,options){this.dom={foreground:null,lines:[],majorTexts:[],minorTexts:[],redundant:{lines:[],majorTexts:[],minorTexts:[]}};this.props={range:{start:0,end:0,minimumStep:0},lineTop:0};this.defaultOptions={orientation:{axis:\"bottom\"},showMinorLabels:true,showMajorLabels:true,maxMinorChars:7,format:TimeStep.FORMAT,moment:moment,timeAxis:null};this.options=util.extend({},this.defaultOptions);this.body=body;this._create();this.setOptions(options)}TimeAxis.prototype=new Component;TimeAxis.prototype.setOptions=function(options){if(options){util.selectiveExtend([\"showMinorLabels\",\"showMajorLabels\",\"maxMinorChars\",\"hiddenDates\",\"timeAxis\",\"moment\",\"rtl\"],this.options,options);util.selectiveDeepExtend([\"format\"],this.options,options);if(\"orientation\"in options){if(typeof options.orientation===\"string\"){this.options.orientation.axis=options.orientation}else if((0,_typeof3[\"default\"])(options.orientation)===\"object\"&&\"axis\"in options.orientation){this.options.orientation.axis=options.orientation.axis}}if(\"locale\"in options){if(typeof moment.locale===\"function\"){moment.locale(options.locale)}else{moment.lang(options.locale)}}}};TimeAxis.prototype._create=function(){this.dom.foreground=document.createElement(\"div\");this.dom.background=document.createElement(\"div\");this.dom.foreground.className=\"vis-time-axis vis-foreground\";this.dom.background.className=\"vis-time-axis vis-background\"};TimeAxis.prototype.destroy=function(){if(this.dom.foreground.parentNode){this.dom.foreground.parentNode.removeChild(this.dom.foreground)}if(this.dom.background.parentNode){this.dom.background.parentNode.removeChild(this.dom.background)}this.body=null};TimeAxis.prototype.redraw=function(){var props=this.props;var foreground=this.dom.foreground;var background=this.dom.background;var parent=this.options.orientation.axis==\"top\"?this.body.dom.top:this.body.dom.bottom;var parentChanged=foreground.parentNode!==parent;this._calculateCharSize();var showMinorLabels=this.options.showMinorLabels&&this.options.orientation.axis!==\"none\";var showMajorLabels=this.options.showMajorLabels&&this.options.orientation.axis!==\"none\";props.minorLabelHeight=showMinorLabels?props.minorCharHeight:0;props.majorLabelHeight=showMajorLabels?props.majorCharHeight:0;props.height=props.minorLabelHeight+props.majorLabelHeight;props.width=foreground.offsetWidth;props.minorLineHeight=this.body.domProps.root.height-props.majorLabelHeight-(this.options.orientation.axis==\"top\"?this.body.domProps.bottom.height:this.body.domProps.top.height);props.minorLineWidth=1;props.majorLineHeight=props.minorLineHeight+props.majorLabelHeight;props.majorLineWidth=1;var foregroundNextSibling=foreground.nextSibling;var backgroundNextSibling=background.nextSibling;foreground.parentNode&&foreground.parentNode.removeChild(foreground);background.parentNode&&background.parentNode.removeChild(background);foreground.style.height=this.props.height+\"px\";this._repaintLabels();if(foregroundNextSibling){parent.insertBefore(foreground,foregroundNextSibling)}else{parent.appendChild(foreground)}if(backgroundNextSibling){this.body.dom.backgroundVertical.insertBefore(background,backgroundNextSibling)}else{this.body.dom.backgroundVertical.appendChild(background)}return this._isResized()||parentChanged};TimeAxis.prototype._repaintLabels=function(){var orientation=this.options.orientation.axis;var start=util.convert(this.body.range.start,\"Number\");var end=util.convert(this.body.range.end,\"Number\");var timeLabelsize=this.body.util.toTime((this.props.minorCharWidth||10)*this.options.maxMinorChars).valueOf();var minimumStep=timeLabelsize-DateUtil.getHiddenDurationBefore(this.options.moment,this.body.hiddenDates,this.body.range,timeLabelsize);minimumStep-=this.body.util.toTime(0).valueOf();var step=new TimeStep(new Date(start),new Date(end),minimumStep,this.body.hiddenDates,this.options);step.setMoment(this.options.moment);if(this.options.format){step.setFormat(this.options.format)}if(this.options.timeAxis){step.setScale(this.options.timeAxis)}this.step=step;var dom=this.dom;dom.redundant.lines=dom.lines;dom.redundant.majorTexts=dom.majorTexts;dom.redundant.minorTexts=dom.minorTexts;dom.lines=[];dom.majorTexts=[];dom.minorTexts=[];var current;var next;var x;var xNext;var isMajor;var nextIsMajor;var showMinorGrid;var width=0,prevWidth;var line;var labelMinor;var xFirstMajorLabel=undefined;var count=0;var MAX=1e3;var className;step.start();next=step.getCurrent();xNext=this.body.util.toScreen(next);while(step.hasNext()&&count<MAX){count++;isMajor=step.isMajor();className=step.getClassName();labelMinor=step.getLabelMinor();current=next;x=xNext;step.next();next=step.getCurrent();nextIsMajor=step.isMajor();xNext=this.body.util.toScreen(next);prevWidth=width;width=xNext-x;switch(step.scale){case\"week\":showMinorGrid=true;break;default:showMinorGrid=width>=prevWidth*.4;break}if(this.options.showMinorLabels&&showMinorGrid){var label=this._repaintMinorText(x,labelMinor,orientation,className);label.style.width=width+\"px\"}if(isMajor&&this.options.showMajorLabels){if(x>0){if(xFirstMajorLabel==undefined){xFirstMajorLabel=x}label=this._repaintMajorText(x,step.getLabelMajor(),orientation,className)}line=this._repaintMajorLine(x,width,orientation,className)}else{if(showMinorGrid){line=this._repaintMinorLine(x,width,orientation,className)}else{if(line){line.style.width=parseInt(line.style.width)+width+\"px\"}}}}if(count===MAX&&!warnedForOverflow){console.warn(\"Something is wrong with the Timeline scale. Limited drawing of grid lines to \"+MAX+\" lines.\");warnedForOverflow=true}if(this.options.showMajorLabels){var leftTime=this.body.util.toTime(0),leftText=step.getLabelMajor(leftTime),widthText=leftText.length*(this.props.majorCharWidth||10)+10;if(xFirstMajorLabel==undefined||widthText<xFirstMajorLabel){this._repaintMajorText(0,leftText,orientation,className)}}util.forEach(this.dom.redundant,function(arr){while(arr.length){var elem=arr.pop();if(elem&&elem.parentNode){elem.parentNode.removeChild(elem)}}})};TimeAxis.prototype._repaintMinorText=function(x,text,orientation,className){var label=this.dom.redundant.minorTexts.shift();if(!label){var content=document.createTextNode(\"\");label=document.createElement(\"div\");label.appendChild(content);this.dom.foreground.appendChild(label)}this.dom.minorTexts.push(label);label.innerHTML=text;label.style.top=orientation==\"top\"?this.props.majorLabelHeight+\"px\":\"0\";if(this.options.rtl){label.style.left=\"\";label.style.right=x+\"px\"}else{label.style.left=x+\"px\"}label.className=\"vis-text vis-minor \"+className;return label};TimeAxis.prototype._repaintMajorText=function(x,text,orientation,className){var label=this.dom.redundant.majorTexts.shift();if(!label){var content=document.createElement(\"div\");label=document.createElement(\"div\");label.appendChild(content);this.dom.foreground.appendChild(label)}label.childNodes[0].innerHTML=text;label.className=\"vis-text vis-major \"+className;label.style.top=orientation==\"top\"?\"0\":this.props.minorLabelHeight+\"px\";if(this.options.rtl){label.style.left=\"\";label.style.right=x+\"px\"}else{label.style.left=x+\"px\"}this.dom.majorTexts.push(label);return label};TimeAxis.prototype._repaintMinorLine=function(x,width,orientation,className){var line=this.dom.redundant.lines.shift();if(!line){line=document.createElement(\"div\");this.dom.background.appendChild(line)}this.dom.lines.push(line);var props=this.props;if(orientation==\"top\"){line.style.top=props.majorLabelHeight+\"px\"}else{line.style.top=this.body.domProps.top.height+\"px\"}line.style.height=props.minorLineHeight+\"px\";if(this.options.rtl){line.style.left=\"\";line.style.right=x-props.minorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical-rtl vis-minor \"+className}else{line.style.left=x-props.minorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical vis-minor \"+className}line.style.width=width+\"px\";return line};TimeAxis.prototype._repaintMajorLine=function(x,width,orientation,className){var line=this.dom.redundant.lines.shift();if(!line){line=document.createElement(\"div\");this.dom.background.appendChild(line)}this.dom.lines.push(line);var props=this.props;if(orientation==\"top\"){line.style.top=\"0\"}else{line.style.top=this.body.domProps.top.height+\"px\"}if(this.options.rtl){line.style.left=\"\";line.style.right=x-props.majorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical-rtl vis-major \"+className}else{line.style.left=x-props.majorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical vis-major \"+className}line.style.height=props.majorLineHeight+\"px\";line.style.width=width+\"px\";return line};TimeAxis.prototype._calculateCharSize=function(){if(!this.dom.measureCharMinor){this.dom.measureCharMinor=document.createElement(\"DIV\");this.dom.measureCharMinor.className=\"vis-text vis-minor vis-measure\";this.dom.measureCharMinor.style.position=\"absolute\";this.dom.measureCharMinor.appendChild(document.createTextNode(\"0\"));this.dom.foreground.appendChild(this.dom.measureCharMinor)}this.props.minorCharHeight=this.dom.measureCharMinor.clientHeight;this.props.minorCharWidth=this.dom.measureCharMinor.clientWidth;if(!this.dom.measureCharMajor){this.dom.measureCharMajor=document.createElement(\"DIV\");this.dom.measureCharMajor.className=\"vis-text vis-major vis-measure\";this.dom.measureCharMajor.style.position=\"absolute\";this.dom.measureCharMajor.appendChild(document.createTextNode(\"0\"));this.dom.foreground.appendChild(this.dom.measureCharMajor)}this.props.majorCharHeight=this.dom.measureCharMajor.clientHeight;this.props.majorCharWidth=this.dom.measureCharMajor.clientWidth};var warnedForOverflow=false;module.exports=TimeAxis},function(module,exports,__webpack_require__){\"use strict\";var Hammer=__webpack_require__(10);var util=__webpack_require__(2);var Component=__webpack_require__(16);var moment=__webpack_require__(9);var locales=__webpack_require__(98);function CustomTime(body,options){this.body=body;this.defaultOptions={moment:moment,locales:locales,locale:\"en\",id:undefined,title:undefined};this.options=util.extend({},this.defaultOptions);if(options&&options.time){this.customTime=options.time}else{this.customTime=new Date}this.eventParams={};this.setOptions(options);this._create()}CustomTime.prototype=new Component;CustomTime.prototype.setOptions=function(options){if(options){util.selectiveExtend([\"moment\",\"locale\",\"locales\",\"id\"],this.options,options)}};CustomTime.prototype._create=function(){var bar=document.createElement(\"div\");bar[\"custom-time\"]=this;bar.className=\"vis-custom-time \"+(this.options.id||\"\");bar.style.position=\"absolute\";bar.style.top=\"0px\";bar.style.height=\"100%\";this.bar=bar;var drag=document.createElement(\"div\");drag.style.position=\"relative\";drag.style.top=\"0px\";drag.style.left=\"-10px\";drag.style.height=\"100%\";drag.style.width=\"20px\";function onMouseWheel(e){this.body.range._onMouseWheel(e)}if(drag.addEventListener){drag.addEventListener(\"mousewheel\",onMouseWheel.bind(this),false);drag.addEventListener(\"DOMMouseScroll\",onMouseWheel.bind(this),false)}else{drag.attachEvent(\"onmousewheel\",onMouseWheel.bind(this))}bar.appendChild(drag);this.hammer=new Hammer(drag);this.hammer.on(\"panstart\",this._onDragStart.bind(this));this.hammer.on(\"panmove\",this._onDrag.bind(this));this.hammer.on(\"panend\",this._onDragEnd.bind(this));this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_HORIZONTAL})};CustomTime.prototype.destroy=function(){this.hide();this.hammer.destroy();this.hammer=null;this.body=null};CustomTime.prototype.redraw=function(){var parent=this.body.dom.backgroundVertical;if(this.bar.parentNode!=parent){if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}parent.appendChild(this.bar)}var x=this.body.util.toScreen(this.customTime);var locale=this.options.locales[this.options.locale];if(!locale){if(!this.warned){console.log(\"WARNING: options.locales['\"+this.options.locale+\"'] not found. See http://visjs.org/docs/timeline/#Localization\");this.warned=true}locale=this.options.locales[\"en\"]}var title=this.options.title;if(title===undefined){title=locale.time+\": \"+this.options.moment(this.customTime).format(\"dddd, MMMM Do YYYY, H:mm:ss\");title=title.charAt(0).toUpperCase()+title.substring(1)}else if(typeof title===\"function\"){title=title.call(this.customTime)}this.bar.style.left=x+\"px\";this.bar.title=title;return false};CustomTime.prototype.hide=function(){if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}};CustomTime.prototype.setCustomTime=function(time){this.customTime=util.convert(time,\"Date\");this.redraw()};CustomTime.prototype.getCustomTime=function(){return new Date(this.customTime.valueOf())};CustomTime.prototype.setCustomTitle=function(title){this.options.title=title};CustomTime.prototype._onDragStart=function(event){this.eventParams.dragging=true;this.eventParams.customTime=this.customTime;event.stopPropagation()};CustomTime.prototype._onDrag=function(event){if(!this.eventParams.dragging)return;var x=this.body.util.toScreen(this.eventParams.customTime)+event.deltaX;var time=this.body.util.toTime(x);this.setCustomTime(time);this.body.emitter.emit(\"timechange\",{id:this.options.id,time:new Date(this.customTime.valueOf()),event:event});event.stopPropagation()};CustomTime.prototype._onDragEnd=function(event){if(!this.eventParams.dragging)return;this.body.emitter.emit(\"timechanged\",{id:this.options.id,time:new Date(this.customTime.valueOf()),event:event});event.stopPropagation()};CustomTime.customTimeFromTarget=function(event){var target=event.target;while(target){if(target.hasOwnProperty(\"custom-time\")){return target[\"custom-time\"]}target=target.parentNode}return null};module.exports=CustomTime},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Label=__webpack_require__(117)[\"default\"];var ComponentUtil=__webpack_require__(48)[\"default\"];var Box=__webpack_require__(193)[\"default\"];var Circle=__webpack_require__(200)[\"default\"];var CircularImage=__webpack_require__(201)[\"default\"];var Database=__webpack_require__(202)[\"default\"];var Diamond=__webpack_require__(203)[\"default\"];var Dot=__webpack_require__(204)[\"default\"];var Ellipse=__webpack_require__(205)[\"default\"];var Icon=__webpack_require__(206)[\"default\"];var Image=__webpack_require__(207)[\"default\"];var Square=__webpack_require__(208)[\"default\"];var Hexagon=__webpack_require__(209)[\"default\"];var Star=__webpack_require__(210)[\"default\"];var Text=__webpack_require__(211)[\"default\"];var Triangle=__webpack_require__(212)[\"default\"];var TriangleDown=__webpack_require__(213)[\"default\"];var _require=__webpack_require__(15),printStyle=_require.printStyle;var Node=function(){function Node(options,body,imagelist,grouplist,globalOptions,defaultOptions){(0,_classCallCheck3[\"default\"])(this,Node);this.options=util.bridgeObject(globalOptions);this.globalOptions=globalOptions;this.defaultOptions=defaultOptions;this.body=body;this.edges=[];this.id=undefined;this.imagelist=imagelist;this.grouplist=grouplist;this.x=undefined;this.y=undefined;this.baseSize=this.options.size;this.baseFontSize=this.options.font.size;this.predefinedPosition=false;this.selected=false;this.hover=false;this.labelModule=new Label(this.body,this.options,false);this.setOptions(options)}(0,_createClass3[\"default\"])(Node,[{key:\"attachEdge\",value:function attachEdge(edge){if(this.edges.indexOf(edge)===-1){this.edges.push(edge)}}},{key:\"detachEdge\",value:function detachEdge(edge){var index=this.edges.indexOf(edge);if(index!=-1){this.edges.splice(index,1)}}},{key:\"setOptions\",value:function setOptions(options){var currentShape=this.options.shape;if(!options){return}if(options.id!==undefined){this.id=options.id}if(this.id===undefined){throw new Error(\"Node must have an id\")}Node.checkMass(options,this.id);if(options.x!==undefined){if(options.x===null){this.x=undefined;this.predefinedPosition=false}else{this.x=parseInt(options.x);this.predefinedPosition=true}}if(options.y!==undefined){if(options.y===null){this.y=undefined;this.predefinedPosition=false}else{this.y=parseInt(options.y);this.predefinedPosition=true}}if(options.size!==undefined){this.baseSize=options.size}if(options.value!==undefined){options.value=parseFloat(options.value)}Node.parseOptions(this.options,options,true,this.globalOptions,this.grouplist);var pile=[options,this.options,this.defaultOptions];this.chooser=ComponentUtil.choosify(\"node\",pile);this._load_images();this.updateLabelModule(options);this.updateShape(currentShape);return options.hidden!==undefined||options.physics!==undefined}},{key:\"_load_images\",value:function _load_images(){if(this.options.shape!==\"circularImage\"&&this.options.shape!==\"image\"){return}if(this.options.image===undefined){throw new Error(\"Option image must be defined for node type '\"+this.options.shape+\"'\")}if(this.imagelist===undefined){throw new Error(\"Internal Error: No images provided\")}if(typeof this.options.image===\"string\"){this.imageObj=this.imagelist.load(this.options.image,this.options.brokenImage,this.id)}else{if(this.options.image.unselected===undefined){throw new Error(\"No unselected image provided\")}this.imageObj=this.imagelist.load(this.options.image.unselected,this.options.brokenImage,this.id);if(this.options.image.selected!==undefined){this.imageObjAlt=this.imagelist.load(this.options.image.selected,this.options.brokenImage,this.id)}else{this.imageObjAlt=undefined}}}},{key:\"getFormattingValues\",value:function getFormattingValues(){var values={color:this.options.color.background,borderWidth:this.options.borderWidth,borderColor:this.options.color.border,size:this.options.size,borderDashes:this.options.shapeProperties.borderDashes,borderRadius:this.options.shapeProperties.borderRadius,shadow:this.options.shadow.enabled,shadowColor:this.options.shadow.color,shadowSize:this.options.shadow.size,shadowX:this.options.shadow.x,shadowY:this.options.shadow.y};if(this.selected||this.hover){if(this.chooser===true){if(this.selected){values.borderWidth*=2;values.color=this.options.color.highlight.background;values.borderColor=this.options.color.highlight.border;values.shadow=this.options.shadow.enabled}else if(this.hover){values.color=this.options.color.hover.background;values.borderColor=this.options.color.hover.border;values.shadow=this.options.shadow.enabled}}else if(typeof this.chooser===\"function\"){this.chooser(values,this.options.id,this.selected,this.hover);if(values.shadow===false){if(values.shadowColor!==this.options.shadow.color||values.shadowSize!==this.options.shadow.size||values.shadowX!==this.options.shadow.x||values.shadowY!==this.options.shadow.y){values.shadow=true}}}}else{values.shadow=this.options.shadow.enabled}return values}},{key:\"updateLabelModule\",value:function updateLabelModule(options){if(this.options.label===undefined||this.options.label===null){this.options.label=\"\"}Node.updateGroupOptions(this.options,options,this.grouplist);var currentGroup=this.grouplist.get(this.options.group,false);var pile=[options,this.options,currentGroup,this.globalOptions,this.defaultOptions];this.labelModule.update(this.options,pile);if(this.labelModule.baseSize!==undefined){this.baseFontSize=this.labelModule.baseSize}}},{key:\"updateShape\",value:function updateShape(currentShape){if(currentShape===this.options.shape&&this.shape){this.shape.setOptions(this.options,this.imageObj,this.imageObjAlt)}else{switch(this.options.shape){case\"box\":this.shape=new Box(this.options,this.body,this.labelModule);break;case\"circle\":this.shape=new Circle(this.options,this.body,this.labelModule);break;case\"circularImage\":this.shape=new CircularImage(this.options,this.body,this.labelModule,this.imageObj,this.imageObjAlt);break;case\"database\":this.shape=new Database(this.options,this.body,this.labelModule);break;case\"diamond\":this.shape=new Diamond(this.options,this.body,this.labelModule);break;case\"dot\":this.shape=new Dot(this.options,this.body,this.labelModule);break;case\"ellipse\":this.shape=new Ellipse(this.options,this.body,this.labelModule);break;case\"icon\":this.shape=new Icon(this.options,this.body,this.labelModule);break;case\"image\":this.shape=new Image(this.options,this.body,this.labelModule,this.imageObj,this.imageObjAlt);break;case\"square\":this.shape=new Square(this.options,this.body,this.labelModule);break;case\"hexagon\":this.shape=new Hexagon(this.options,this.body,this.labelModule);break;case\"star\":this.shape=new Star(this.options,this.body,this.labelModule);break;case\"text\":this.shape=new Text(this.options,this.body,this.labelModule);break;case\"triangle\":this.shape=new Triangle(this.options,this.body,this.labelModule);break;case\"triangleDown\":this.shape=new TriangleDown(this.options,this.body,this.labelModule);break;default:this.shape=new Ellipse(this.options,this.body,this.labelModule);break}}this.needsRefresh()}},{key:\"select\",value:function select(){this.selected=true;this.needsRefresh()}},{key:\"unselect\",value:function unselect(){this.selected=false;this.needsRefresh()}},{key:\"needsRefresh\",value:function needsRefresh(){this.shape.refreshNeeded=true}},{key:\"getTitle\",value:function getTitle(){return this.options.title}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this.shape.distanceToBorder(ctx,angle)}},{key:\"isFixed\",value:function isFixed(){return this.options.fixed.x&&this.options.fixed.y}},{key:\"isSelected\",value:function isSelected(){return this.selected}},{key:\"getValue\",value:function getValue(){return this.options.value}},{key:\"getLabelSize\",value:function getLabelSize(){return this.labelModule.size()}},{key:\"setValueRange\",value:function setValueRange(min,max,total){if(this.options.value!==undefined){var scale=this.options.scaling.customScalingFunction(min,max,total,this.options.value);var sizeDiff=this.options.scaling.max-this.options.scaling.min;if(this.options.scaling.label.enabled===true){var fontDiff=this.options.scaling.label.max-this.options.scaling.label.min;this.options.font.size=this.options.scaling.label.min+scale*fontDiff}this.options.size=this.options.scaling.min+scale*sizeDiff}else{this.options.size=this.baseSize;this.options.font.size=this.baseFontSize}this.updateLabelModule()}},{key:\"draw\",value:function draw(ctx){var values=this.getFormattingValues();this.shape.draw(ctx,this.x,this.y,this.selected,this.hover,values)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(ctx){this.shape.updateBoundingBox(this.x,this.y,ctx)}},{key:\"resize\",value:function resize(ctx){var values=this.getFormattingValues();this.shape.resize(ctx,this.selected,this.hover,values)}},{key:\"getItemsOnPoint\",value:function getItemsOnPoint(point){var ret=[];if(this.labelModule.visible()){if(ComponentUtil.pointInRect(this.labelModule.getSize(),point)){ret.push({nodeId:this.id,labelId:0})}}if(ComponentUtil.pointInRect(this.shape.boundingBox,point)){ret.push({nodeId:this.id})}return ret}},{key:\"isOverlappingWith\",value:function isOverlappingWith(obj){return this.shape.left<obj.right&&this.shape.left+this.shape.width>obj.left&&this.shape.top<obj.bottom&&this.shape.top+this.shape.height>obj.top}},{key:\"isBoundingBoxOverlappingWith\",value:function isBoundingBoxOverlappingWith(obj){return this.shape.boundingBox.left<obj.right&&this.shape.boundingBox.right>obj.left&&this.shape.boundingBox.top<obj.bottom&&this.shape.boundingBox.bottom>obj.top}}],[{key:\"updateGroupOptions\",value:function updateGroupOptions(parentOptions,newOptions,groupList){if(groupList===undefined)return;var group=parentOptions.group;if(newOptions!==undefined&&newOptions.group!==undefined&&group!==newOptions.group){throw new Error(\"updateGroupOptions: group values in options don't match.\")}var hasGroup=typeof group===\"number\"||typeof group===\"string\"&&group!=\"\";if(!hasGroup)return;var groupObj=groupList.get(group);util.selectiveNotDeepExtend([\"font\"],parentOptions,groupObj);parentOptions.color=util.parseColor(parentOptions.color)}},{key:\"parseOptions\",value:function parseOptions(parentOptions,newOptions){var allowDeletion=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var globalOptions=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{};var groupList=arguments[4];var fields=[\"color\",\"fixed\",\"shadow\"];util.selectiveNotDeepExtend(fields,parentOptions,newOptions,allowDeletion);Node.checkMass(newOptions);util.mergeOptions(parentOptions,newOptions,\"shadow\",globalOptions);if(newOptions.color!==undefined&&newOptions.color!==null){var parsedColor=util.parseColor(newOptions.color);util.fillIfDefined(parentOptions.color,parsedColor)}else if(allowDeletion===true&&newOptions.color===null){parentOptions.color=util.bridgeObject(globalOptions.color)}if(newOptions.fixed!==undefined&&newOptions.fixed!==null){if(typeof newOptions.fixed===\"boolean\"){parentOptions.fixed.x=newOptions.fixed;parentOptions.fixed.y=newOptions.fixed}else{if(newOptions.fixed.x!==undefined&&typeof newOptions.fixed.x===\"boolean\"){parentOptions.fixed.x=newOptions.fixed.x}if(newOptions.fixed.y!==undefined&&typeof newOptions.fixed.y===\"boolean\"){parentOptions.fixed.y=newOptions.fixed.y}}}if(allowDeletion===true&&newOptions.font===null){parentOptions.font=util.bridgeObject(globalOptions.font)}Node.updateGroupOptions(parentOptions,newOptions,groupList);if(newOptions.scaling!==undefined){util.mergeOptions(parentOptions.scaling,newOptions.scaling,\"label\",globalOptions.scaling)}}},{key:\"checkMass\",value:function checkMass(options,id){if(options.mass!==undefined&&options.mass<=0){var strId=\"\";if(id!==undefined){strId=\" in node id: \"+id}console.log(\"%cNegative or zero mass disallowed\"+strId+\", setting mass to 1.\",printStyle);options.mass=1}}}]);return Node}();exports[\"default\"]=Node},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var ComponentUtil=function(){function ComponentUtil(){(0,_classCallCheck3[\"default\"])(this,ComponentUtil)}(0,_createClass3[\"default\"])(ComponentUtil,null,[{key:\"choosify\",value:function choosify(subOption,pile){var allowed=[\"node\",\"edge\",\"label\"];var value=true;var chosen=util.topMost(pile,\"chosen\");if(typeof chosen===\"boolean\"){value=chosen}else if((typeof chosen===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(chosen))===\"object\"){if(allowed.indexOf(subOption)===-1){throw new Error(\"choosify: subOption '\"+subOption+\"' should be one of \"+\"'\"+allowed.join(\"', '\")+\"'\")}var chosenEdge=util.topMost(pile,[\"chosen\",subOption]);if(typeof chosenEdge===\"boolean\"||typeof chosenEdge===\"function\"){value=chosenEdge}}return value}},{key:\"pointInRect\",value:function pointInRect(rect,point,rotationPoint){if(rect.width<=0||rect.height<=0){return false}if(rotationPoint!==undefined){var tmp={x:point.x-rotationPoint.x,y:point.y-rotationPoint.y};if(rotationPoint.angle!==0){var angle=-rotationPoint.angle;var tmp2={x:Math.cos(angle)*tmp.x-Math.sin(angle)*tmp.y,y:Math.sin(angle)*tmp.x+Math.cos(angle)*tmp.y};point=tmp2}else{point=tmp}}var right=rect.x+rect.width;var bottom=rect.y+rect.width;return rect.left<point.x&&right>point.x&&rect.top<point.y&&bottom>point.y}},{key:\"isValidLabel\",value:function isValidLabel(text){return typeof text===\"string\"&&text!==\"\"}}]);return ComponentUtil}();exports[\"default\"]=ComponentUtil},function(module,exports,__webpack_require__){__webpack_require__(125);var global=__webpack_require__(18);var hide=__webpack_require__(26);var Iterators=__webpack_require__(31);var TO_STRING_TAG=__webpack_require__(13)(\"toStringTag\");var DOMIterables=(\"CSSRuleList,CSSStyleDeclaration,CSSValueList,ClientRectList,DOMRectList,DOMStringList,\"+\"DOMTokenList,DataTransferItemList,FileList,HTMLAllCollection,HTMLCollection,HTMLFormElement,HTMLSelectElement,\"+\"MediaList,MimeTypeArray,NamedNodeMap,NodeList,PaintRequestList,Plugin,PluginArray,SVGLengthList,SVGNumberList,\"+\"SVGPathSegList,SVGPointList,SVGStringList,SVGTransformList,SourceBufferList,StyleSheetList,TextTrackCueList,\"+\"TextTrackList,TouchList\").split(\",\");for(var i=0;i<DOMIterables.length;i++){var NAME=DOMIterables[i];var Collection=global[NAME];var proto=Collection&&Collection.prototype;if(proto&&!proto[TO_STRING_TAG])hide(proto,TO_STRING_TAG,NAME);Iterators[NAME]=Iterators.Array}},function(module,exports){var toString={}.toString;module.exports=function(it){return toString.call(it).slice(8,-1)}},function(module,exports){module.exports=function(it){if(it==undefined)throw TypeError(\"Can't call method on \"+it);return it}},function(module,exports){module.exports=true},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);module.exports=function(it,S){if(!isObject(it))return it;var fn,val;if(S&&typeof(fn=it.toString)==\"function\"&&!isObject(val=fn.call(it)))return val;if(typeof(fn=it.valueOf)==\"function\"&&!isObject(val=fn.call(it)))return val;if(!S&&typeof(fn=it.toString)==\"function\"&&!isObject(val=fn.call(it)))return val;throw TypeError(\"Can't convert object to primitive value\")}},function(module,exports,__webpack_require__){var anObject=__webpack_require__(27);var dPs=__webpack_require__(130);var enumBugKeys=__webpack_require__(58);var IE_PROTO=__webpack_require__(56)(\"IE_PROTO\")\n;var Empty=function(){};var PROTOTYPE=\"prototype\";var createDict=function(){var iframe=__webpack_require__(82)(\"iframe\");var i=enumBugKeys.length;var lt=\"<\";var gt=\">\";var iframeDocument;iframe.style.display=\"none\";__webpack_require__(134).appendChild(iframe);iframe.src=\"javascript:\";iframeDocument=iframe.contentWindow.document;iframeDocument.open();iframeDocument.write(lt+\"script\"+gt+\"document.F=Object\"+lt+\"/script\"+gt);iframeDocument.close();createDict=iframeDocument.F;while(i--)delete createDict[PROTOTYPE][enumBugKeys[i]];return createDict()};module.exports=Object.create||function create(O,Properties){var result;if(O!==null){Empty[PROTOTYPE]=anObject(O);result=new Empty;Empty[PROTOTYPE]=null;result[IE_PROTO]=O}else result=createDict();return Properties===undefined?result:dPs(result,Properties)}},function(module,exports){var ceil=Math.ceil;var floor=Math.floor;module.exports=function(it){return isNaN(it=+it)?0:(it>0?floor:ceil)(it)}},function(module,exports,__webpack_require__){var shared=__webpack_require__(57)(\"keys\");var uid=__webpack_require__(40);module.exports=function(key){return shared[key]||(shared[key]=uid(key))}},function(module,exports,__webpack_require__){var global=__webpack_require__(18);var SHARED=\"__core-js_shared__\";var store=global[SHARED]||(global[SHARED]={});module.exports=function(key){return store[key]||(store[key]={})}},function(module,exports){module.exports=\"constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf\".split(\",\")},function(module,exports,__webpack_require__){var def=__webpack_require__(20).f;var has=__webpack_require__(22);var TAG=__webpack_require__(13)(\"toStringTag\");module.exports=function(it,tag,stat){if(it&&!has(it=stat?it:it.prototype,TAG))def(it,TAG,{configurable:true,value:tag})}},function(module,exports,__webpack_require__){\"use strict\";var $at=__webpack_require__(135)(true);__webpack_require__(79)(String,\"String\",function(iterated){this._t=String(iterated);this._i=0},function(){var O=this._t;var index=this._i;var point;if(index>=O.length)return{value:undefined,done:true};point=$at(O,index);this._i+=point.length;return{value:point,done:false}})},function(module,exports,__webpack_require__){exports.f=__webpack_require__(13)},function(module,exports,__webpack_require__){var global=__webpack_require__(18);var core=__webpack_require__(7);var LIBRARY=__webpack_require__(52);var wksExt=__webpack_require__(61);var defineProperty=__webpack_require__(20).f;module.exports=function(name){var $Symbol=core.Symbol||(core.Symbol=LIBRARY?{}:global.Symbol||{});if(name.charAt(0)!=\"_\"&&!(name in $Symbol))defineProperty($Symbol,name,{value:wksExt.f(name)})}},function(module,exports){exports.f=Object.getOwnPropertySymbols},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var moment=__webpack_require__(9);var Component=__webpack_require__(16);var DateUtil=__webpack_require__(36);function Range(body,options){var now=moment().hours(0).minutes(0).seconds(0).milliseconds(0);var start=now.clone().add(-3,\"days\").valueOf();var end=now.clone().add(3,\"days\").valueOf();this.millisecondsPerPixelCache=undefined;if(options===undefined){this.start=start;this.end=end}else{this.start=options.start||start;this.end=options.end||end}this.rolling=false;this.body=body;this.deltaDifference=0;this.scaleOffset=0;this.startToFront=false;this.endToFront=true;this.defaultOptions={rtl:false,start:null,end:null,moment:moment,direction:\"horizontal\",moveable:true,zoomable:true,min:null,max:null,zoomMin:10,zoomMax:1e3*60*60*24*365*1e4,rollingMode:{follow:false,offset:.5}};this.options=util.extend({},this.defaultOptions);this.props={touch:{}};this.animationTimer=null;this.body.emitter.on(\"panstart\",this._onDragStart.bind(this));this.body.emitter.on(\"panmove\",this._onDrag.bind(this));this.body.emitter.on(\"panend\",this._onDragEnd.bind(this));this.body.emitter.on(\"mousewheel\",this._onMouseWheel.bind(this));this.body.emitter.on(\"touch\",this._onTouch.bind(this));this.body.emitter.on(\"pinch\",this._onPinch.bind(this));this.body.dom.rollingModeBtn.addEventListener(\"click\",this.startRolling.bind(this));this.setOptions(options)}Range.prototype=new Component;Range.prototype.setOptions=function(options){if(options){var fields=[\"animation\",\"direction\",\"min\",\"max\",\"zoomMin\",\"zoomMax\",\"moveable\",\"zoomable\",\"moment\",\"activate\",\"hiddenDates\",\"zoomKey\",\"rtl\",\"showCurrentTime\",\"rollingMode\",\"horizontalScroll\"];util.selectiveExtend(fields,this.options,options);if(options.rollingMode&&options.rollingMode.follow){this.startRolling()}if(\"start\"in options||\"end\"in options){this.setRange(options.start,options.end)}}};function validateDirection(direction){if(direction!=\"horizontal\"&&direction!=\"vertical\"){throw new TypeError('Unknown direction \"'+direction+'\". '+'Choose \"horizontal\" or \"vertical\".')}}Range.prototype.startRolling=function(){var me=this;function update(){me.stopRolling();me.rolling=true;var interval=me.end-me.start;var t=util.convert(new Date,\"Date\").valueOf();var start=t-interval*me.options.rollingMode.offset;var end=t+interval*(1-me.options.rollingMode.offset);var options={animation:false};me.setRange(start,end,options);var scale=me.conversion(me.body.domProps.center.width).scale;interval=1/scale/10;if(interval<30)interval=30;if(interval>1e3)interval=1e3;me.body.dom.rollingModeBtn.style.visibility=\"hidden\";me.currentTimeTimer=setTimeout(update,interval)}update()};Range.prototype.stopRolling=function(){if(this.currentTimeTimer!==undefined){clearTimeout(this.currentTimeTimer);this.rolling=false;this.body.dom.rollingModeBtn.style.visibility=\"visible\"}};Range.prototype.setRange=function(start,end,options,callback,frameCallback){if(!options){options={}}if(options.byUser!==true){options.byUser=false}var me=this;var finalStart=start!=undefined?util.convert(start,\"Date\").valueOf():null;var finalEnd=end!=undefined?util.convert(end,\"Date\").valueOf():null;this._cancelAnimation();this.millisecondsPerPixelCache=undefined;if(options.animation){var initStart=this.start;var initEnd=this.end;var duration=(0,_typeof3[\"default\"])(options.animation)===\"object\"&&\"duration\"in options.animation?options.animation.duration:500;var easingName=(0,_typeof3[\"default\"])(options.animation)===\"object\"&&\"easingFunction\"in options.animation?options.animation.easingFunction:\"easeInOutQuad\";var easingFunction=util.easingFunctions[easingName];if(!easingFunction){throw new Error(\"Unknown easing function \"+(0,_stringify2[\"default\"])(easingName)+\". \"+\"Choose from: \"+(0,_keys2[\"default\"])(util.easingFunctions).join(\", \"))}var initTime=(new Date).valueOf();var anyChanged=false;var next=function next(){if(!me.props.touch.dragging){var now=(new Date).valueOf();var time=now-initTime;var ease=easingFunction(time/duration);var done=time>duration;var s=done||finalStart===null?finalStart:initStart+(finalStart-initStart)*ease;var e=done||finalEnd===null?finalEnd:initEnd+(finalEnd-initEnd)*ease;changed=me._applyRange(s,e);DateUtil.updateHiddenDates(me.options.moment,me.body,me.options.hiddenDates);anyChanged=anyChanged||changed;var params={start:new Date(me.start),end:new Date(me.end),byUser:options.byUser,event:options.event};if(frameCallback){frameCallback(ease,changed,done)}if(changed){me.body.emitter.emit(\"rangechange\",params)}if(done){if(anyChanged){me.body.emitter.emit(\"rangechanged\",params);if(callback){return callback()}}}else{me.animationTimer=setTimeout(next,20)}}};return next()}else{var changed=this._applyRange(finalStart,finalEnd);DateUtil.updateHiddenDates(this.options.moment,this.body,this.options.hiddenDates);if(changed){var params={start:new Date(this.start),end:new Date(this.end),byUser:options.byUser,event:options.event};this.body.emitter.emit(\"rangechange\",params);clearTimeout(me.timeoutID);me.timeoutID=setTimeout(function(){me.body.emitter.emit(\"rangechanged\",params)},200);if(callback){return callback()}}}};Range.prototype.getMillisecondsPerPixel=function(){if(this.millisecondsPerPixelCache===undefined){this.millisecondsPerPixelCache=(this.end-this.start)/this.body.dom.center.clientWidth}return this.millisecondsPerPixelCache};Range.prototype._cancelAnimation=function(){if(this.animationTimer){clearTimeout(this.animationTimer);this.animationTimer=null}};Range.prototype._applyRange=function(start,end){var newStart=start!=null?util.convert(start,\"Date\").valueOf():this.start,newEnd=end!=null?util.convert(end,\"Date\").valueOf():this.end,max=this.options.max!=null?util.convert(this.options.max,\"Date\").valueOf():null,min=this.options.min!=null?util.convert(this.options.min,\"Date\").valueOf():null,diff;if(isNaN(newStart)||newStart===null){throw new Error('Invalid start \"'+start+'\"')}if(isNaN(newEnd)||newEnd===null){throw new Error('Invalid end \"'+end+'\"')}if(newEnd<newStart){newEnd=newStart}if(min!==null){if(newStart<min){diff=min-newStart;newStart+=diff;newEnd+=diff;if(max!=null){if(newEnd>max){newEnd=max}}}}if(max!==null){if(newEnd>max){diff=newEnd-max;newStart-=diff;newEnd-=diff;if(min!=null){if(newStart<min){newStart=min}}}}if(this.options.zoomMin!==null){var zoomMin=parseFloat(this.options.zoomMin);if(zoomMin<0){zoomMin=0}if(newEnd-newStart<zoomMin){var compensation=.5;if(this.end-this.start===zoomMin&&newStart>=this.start-compensation&&newEnd<=this.end){newStart=this.start;newEnd=this.end}else{diff=zoomMin-(newEnd-newStart);newStart-=diff/2;newEnd+=diff/2}}}if(this.options.zoomMax!==null){var zoomMax=parseFloat(this.options.zoomMax);if(zoomMax<0){zoomMax=0}if(newEnd-newStart>zoomMax){if(this.end-this.start===zoomMax&&newStart<this.start&&newEnd>this.end){newStart=this.start;newEnd=this.end}else{diff=newEnd-newStart-zoomMax;newStart+=diff/2;newEnd-=diff/2}}}var changed=this.start!=newStart||this.end!=newEnd;if(!(newStart>=this.start&&newStart<=this.end||newEnd>=this.start&&newEnd<=this.end)&&!(this.start>=newStart&&this.start<=newEnd||this.end>=newStart&&this.end<=newEnd)){this.body.emitter.emit(\"checkRangedItems\")}this.start=newStart;this.end=newEnd;return changed};Range.prototype.getRange=function(){return{start:this.start,end:this.end}};Range.prototype.conversion=function(width,totalHidden){return Range.conversion(this.start,this.end,width,totalHidden)};Range.conversion=function(start,end,width,totalHidden){if(totalHidden===undefined){totalHidden=0}if(width!=0&&end-start!=0){return{offset:start,scale:width/(end-start-totalHidden)}}else{return{offset:0,scale:1}}};Range.prototype._onDragStart=function(event){this.deltaDifference=0;this.previousDelta=0;if(!this.options.moveable)return;if(!this._isInsideRange(event))return;if(!this.props.touch.allowDragging)return;this.stopRolling();this.props.touch.start=this.start;this.props.touch.end=this.end;this.props.touch.dragging=true;if(this.body.dom.root){this.body.dom.root.style.cursor=\"move\"}};Range.prototype._onDrag=function(event){if(!event)return;if(!this.props.touch.dragging)return;if(!this.options.moveable)return;if(!this.props.touch.allowDragging)return;var direction=this.options.direction;validateDirection(direction);var delta=direction==\"horizontal\"?event.deltaX:event.deltaY;delta-=this.deltaDifference;var interval=this.props.touch.end-this.props.touch.start;var duration=DateUtil.getHiddenDurationBetween(this.body.hiddenDates,this.start,this.end);interval-=duration;var width=direction==\"horizontal\"?this.body.domProps.center.width:this.body.domProps.center.height;var diffRange;if(this.options.rtl){diffRange=delta/width*interval}else{diffRange=-delta/width*interval}var newStart=this.props.touch.start+diffRange;var newEnd=this.props.touch.end+diffRange;var safeStart=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newStart,this.previousDelta-delta,true);var safeEnd=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newEnd,this.previousDelta-delta,true);if(safeStart!=newStart||safeEnd!=newEnd){this.deltaDifference+=delta;this.props.touch.start=safeStart;this.props.touch.end=safeEnd;this._onDrag(event);return}this.previousDelta=delta;this._applyRange(newStart,newEnd);var startDate=new Date(this.start);var endDate=new Date(this.end);this.body.emitter.emit(\"rangechange\",{start:startDate,end:endDate,byUser:true,event:event});this.body.emitter.emit(\"panmove\")};Range.prototype._onDragEnd=function(event){if(!this.props.touch.dragging)return;if(!this.options.moveable)return;if(!this.props.touch.allowDragging)return;this.props.touch.dragging=false;if(this.body.dom.root){this.body.dom.root.style.cursor=\"auto\"}this.body.emitter.emit(\"rangechanged\",{start:new Date(this.start),end:new Date(this.end),byUser:true,event:event})};Range.prototype._onMouseWheel=function(event){var delta=0;if(event.wheelDelta){delta=event.wheelDelta/120}else if(event.detail){delta=-event.detail/3}if(this.options.zoomKey&&!event[this.options.zoomKey]&&this.options.zoomable||!this.options.zoomable&&this.options.moveable){return}if(!(this.options.zoomable&&this.options.moveable))return;if(!this._isInsideRange(event))return;if(delta){var scale;if(delta<0){scale=1-delta/5}else{scale=1/(1+delta/5)}var pointerDate;if(this.rolling){pointerDate=this.start+(this.end-this.start)*this.options.rollingMode.offset}else{var pointer=this.getPointer({x:event.clientX,y:event.clientY},this.body.dom.center);pointerDate=this._pointerToDate(pointer)}this.zoom(scale,pointerDate,delta,event);event.preventDefault()}};Range.prototype._onTouch=function(event){this.props.touch.start=this.start;this.props.touch.end=this.end;this.props.touch.allowDragging=true;this.props.touch.center=null;this.scaleOffset=0;this.deltaDifference=0;util.preventDefault(event)};Range.prototype._onPinch=function(event){if(!(this.options.zoomable&&this.options.moveable))return;util.preventDefault(event);this.props.touch.allowDragging=false;if(!this.props.touch.center){this.props.touch.center=this.getPointer(event.center,this.body.dom.center)}this.stopRolling();var scale=1/(event.scale+this.scaleOffset);var centerDate=this._pointerToDate(this.props.touch.center);var hiddenDuration=DateUtil.getHiddenDurationBetween(this.body.hiddenDates,this.start,this.end);var hiddenDurationBefore=DateUtil.getHiddenDurationBefore(this.options.moment,this.body.hiddenDates,this,centerDate);var hiddenDurationAfter=hiddenDuration-hiddenDurationBefore;var newStart=centerDate-hiddenDurationBefore+(this.props.touch.start-(centerDate-hiddenDurationBefore))*scale;var newEnd=centerDate+hiddenDurationAfter+(this.props.touch.end-(centerDate+hiddenDurationAfter))*scale;this.startToFront=1-scale<=0;this.endToFront=scale-1<=0;var safeStart=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newStart,1-scale,true);var safeEnd=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newEnd,scale-1,true);if(safeStart!=newStart||safeEnd!=newEnd){this.props.touch.start=safeStart;this.props.touch.end=safeEnd;this.scaleOffset=1-event.scale;newStart=safeStart;newEnd=safeEnd}var options={animation:false,byUser:true,event:event};this.setRange(newStart,newEnd,options);this.startToFront=false;this.endToFront=true};Range.prototype._isInsideRange=function(event){var clientX=event.center?event.center.x:event.clientX;var x;if(this.options.rtl){x=clientX-util.getAbsoluteLeft(this.body.dom.centerContainer)}else{x=util.getAbsoluteRight(this.body.dom.centerContainer)-clientX}var time=this.body.util.toTime(x);return time>=this.start&&time<=this.end};Range.prototype._pointerToDate=function(pointer){var conversion;var direction=this.options.direction;validateDirection(direction);if(direction==\"horizontal\"){return this.body.util.toTime(pointer.x).valueOf()}else{var height=this.body.domProps.center.height;conversion=this.conversion(height);return pointer.y/conversion.scale+conversion.offset}};Range.prototype.getPointer=function(touch,element){if(this.options.rtl){return{x:util.getAbsoluteRight(element)-touch.x,y:touch.y-util.getAbsoluteTop(element)}}else{return{x:touch.x-util.getAbsoluteLeft(element),y:touch.y-util.getAbsoluteTop(element)}}};Range.prototype.zoom=function(scale,center,delta,event){if(center==null){center=(this.start+this.end)/2}var hiddenDuration=DateUtil.getHiddenDurationBetween(this.body.hiddenDates,this.start,this.end);var hiddenDurationBefore=DateUtil.getHiddenDurationBefore(this.options.moment,this.body.hiddenDates,this,center);var hiddenDurationAfter=hiddenDuration-hiddenDurationBefore;var newStart=center-hiddenDurationBefore+(this.start-(center-hiddenDurationBefore))*scale;var newEnd=center+hiddenDurationAfter+(this.end-(center+hiddenDurationAfter))*scale;this.startToFront=delta>0?false:true;this.endToFront=-delta>0?false:true;var safeStart=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newStart,delta,true);var safeEnd=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newEnd,-delta,true);if(safeStart!=newStart||safeEnd!=newEnd){newStart=safeStart;newEnd=safeEnd}var options={animation:false,byUser:true,event:event};this.setRange(newStart,newEnd,options);this.startToFront=false;this.endToFront=true};Range.prototype.move=function(delta){var diff=this.end-this.start;var newStart=this.start+diff*delta;var newEnd=this.end+diff*delta;this.start=newStart;this.end=newEnd};Range.prototype.moveTo=function(moveTo){var center=(this.start+this.end)/2;var diff=center-moveTo;var newStart=this.start-diff;var newEnd=this.end-diff;var options={animation:false,byUser:true,event:null};this.setRange(newStart,newEnd,options)};module.exports=Range},function(module,exports,__webpack_require__){\"use strict\";var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Emitter=__webpack_require__(44);var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var util=__webpack_require__(2);var TimeAxis=__webpack_require__(45);var Activator=__webpack_require__(97);var DateUtil=__webpack_require__(36);var CustomTime=__webpack_require__(46);function Core(){}Emitter(Core.prototype);Core.prototype._create=function(container){this.dom={};this.dom.container=container;this.dom.root=document.createElement(\"div\");this.dom.background=document.createElement(\"div\");this.dom.backgroundVertical=document.createElement(\"div\");this.dom.backgroundHorizontal=document.createElement(\"div\");this.dom.centerContainer=document.createElement(\"div\");this.dom.leftContainer=document.createElement(\"div\");this.dom.rightContainer=document.createElement(\"div\");this.dom.center=document.createElement(\"div\");this.dom.left=document.createElement(\"div\");this.dom.right=document.createElement(\"div\");this.dom.top=document.createElement(\"div\");this.dom.bottom=document.createElement(\"div\");this.dom.shadowTop=document.createElement(\"div\");this.dom.shadowBottom=document.createElement(\"div\");this.dom.shadowTopLeft=document.createElement(\"div\");this.dom.shadowBottomLeft=document.createElement(\"div\");this.dom.shadowTopRight=document.createElement(\"div\");this.dom.shadowBottomRight=document.createElement(\"div\");this.dom.rollingModeBtn=document.createElement(\"div\");this.dom.root.className=\"vis-timeline\";this.dom.background.className=\"vis-panel vis-background\";this.dom.backgroundVertical.className=\"vis-panel vis-background vis-vertical\";this.dom.backgroundHorizontal.className=\"vis-panel vis-background vis-horizontal\";this.dom.centerContainer.className=\"vis-panel vis-center\";this.dom.leftContainer.className=\"vis-panel vis-left\";this.dom.rightContainer.className=\"vis-panel vis-right\";this.dom.top.className=\"vis-panel vis-top\";this.dom.bottom.className=\"vis-panel vis-bottom\";this.dom.left.className=\"vis-content\";this.dom.center.className=\"vis-content\";this.dom.right.className=\"vis-content\";this.dom.shadowTop.className=\"vis-shadow vis-top\";this.dom.shadowBottom.className=\"vis-shadow vis-bottom\";this.dom.shadowTopLeft.className=\"vis-shadow vis-top\";this.dom.shadowBottomLeft.className=\"vis-shadow vis-bottom\";this.dom.shadowTopRight.className=\"vis-shadow vis-top\";this.dom.shadowBottomRight.className=\"vis-shadow vis-bottom\";this.dom.rollingModeBtn.className=\"vis-rolling-mode-btn\";this.dom.root.appendChild(this.dom.background);this.dom.root.appendChild(this.dom.backgroundVertical);this.dom.root.appendChild(this.dom.backgroundHorizontal);this.dom.root.appendChild(this.dom.centerContainer);this.dom.root.appendChild(this.dom.leftContainer);this.dom.root.appendChild(this.dom.rightContainer);this.dom.root.appendChild(this.dom.top);this.dom.root.appendChild(this.dom.bottom);this.dom.root.appendChild(this.dom.bottom);this.dom.root.appendChild(this.dom.rollingModeBtn);this.dom.centerContainer.appendChild(this.dom.center);this.dom.leftContainer.appendChild(this.dom.left);this.dom.rightContainer.appendChild(this.dom.right);this.dom.centerContainer.appendChild(this.dom.shadowTop);this.dom.centerContainer.appendChild(this.dom.shadowBottom);this.dom.leftContainer.appendChild(this.dom.shadowTopLeft);this.dom.leftContainer.appendChild(this.dom.shadowBottomLeft);this.dom.rightContainer.appendChild(this.dom.shadowTopRight);this.dom.rightContainer.appendChild(this.dom.shadowBottomRight);this.props={root:{},background:{},centerContainer:{},leftContainer:{},rightContainer:{},center:{},left:{},right:{},top:{},bottom:{},border:{},scrollTop:0,scrollTopMin:0};this.on(\"rangechange\",function(){if(this.initialDrawDone===true){this._redraw()}}.bind(this));this.on(\"rangechanged\",function(){if(!this.initialRangeChangeDone){this.initialRangeChangeDone=true}}.bind(this));this.on(\"touch\",this._onTouch.bind(this));this.on(\"panmove\",this._onDrag.bind(this));var me=this;this._origRedraw=this._redraw.bind(this);this._redraw=util.throttle(this._origRedraw);this.on(\"_change\",function(properties){if(me.itemSet&&me.itemSet.initialItemSetDrawn&&properties&&properties.queue==true){me._redraw()}else{me._origRedraw()}});this.hammer=new Hammer(this.dom.root);var pinchRecognizer=this.hammer.get(\"pinch\").set({enable:true});hammerUtil.disablePreventDefaultVertically(pinchRecognizer);this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_HORIZONTAL});this.listeners={};var events=[\"tap\",\"doubletap\",\"press\",\"pinch\",\"pan\",\"panstart\",\"panmove\",\"panend\"];events.forEach(function(type){var listener=function listener(event){if(me.isActive()){me.emit(type,event)}};me.hammer.on(type,listener);me.listeners[type]=listener});hammerUtil.onTouch(this.hammer,function(event){me.emit(\"touch\",event)}.bind(this));hammerUtil.onRelease(this.hammer,function(event){me.emit(\"release\",event)}.bind(this));function onMouseWheel(event){if(this.isActive()){this.emit(\"mousewheel\",event)}var deltaX=0;var deltaY=0;if(\"detail\"in event){deltaY=event.detail*-1}if(\"wheelDelta\"in event){deltaY=event.wheelDelta}if(\"wheelDeltaY\"in event){deltaY=event.wheelDeltaY}if(\"wheelDeltaX\"in event){deltaX=event.wheelDeltaX*-1}if(\"axis\"in event&&event.axis===event.HORIZONTAL_AXIS){deltaX=deltaY*-1;deltaY=0}if(\"deltaY\"in event){deltaY=event.deltaY*-1}if(\"deltaX\"in event){deltaX=event.deltaX}if(!this.options.zoomKey||event[this.options.zoomKey])return;event.preventDefault();if(this.options.verticalScroll&&Math.abs(deltaY)>=Math.abs(deltaX)){var current=this.props.scrollTop;var adjusted=current+deltaY;if(this.isActive()){this._setScrollTop(adjusted);this._redraw();this.emit(\"scroll\",event)}}else if(this.options.horizontalScroll){var delta=Math.abs(deltaX)>=Math.abs(deltaY)?deltaX:deltaY;var diff=delta/120*(this.range.end-this.range.start)/20;var newStart=this.range.start+diff;var newEnd=this.range.end+diff;var options={animation:false,byUser:true,event:event};this.range.setRange(newStart,newEnd,options)}}if(this.dom.centerContainer.addEventListener){this.dom.centerContainer.addEventListener(\"mousewheel\",onMouseWheel.bind(this),false);this.dom.centerContainer.addEventListener(\"DOMMouseScroll\",onMouseWheel.bind(this),false)}else{this.dom.centerContainer.attachEvent(\"onmousewheel\",onMouseWheel.bind(this))}function onMouseScrollSide(event){if(!me.options.verticalScroll)return;event.preventDefault();if(me.isActive()){var adjusted=-event.target.scrollTop;me._setScrollTop(adjusted);me._redraw();me.emit(\"scrollSide\",event)}}this.dom.left.parentNode.addEventListener(\"scroll\",onMouseScrollSide.bind(this));this.dom.right.parentNode.addEventListener(\"scroll\",onMouseScrollSide.bind(this));var itemAddedToTimeline=false;function handleDragOver(event){if(event.preventDefault){event.preventDefault()}if(!event.target.className.indexOf(\"vis\")>-1)return;if(itemAddedToTimeline)return;event.dataTransfer.dropEffect=\"move\";itemAddedToTimeline=true;return false}function handleDrop(event){if(event.preventDefault){event.preventDefault()}if(event.stopPropagation){event.stopPropagation()}try{var itemData=JSON.parse(event.dataTransfer.getData(\"text\"));if(!itemData||!itemData.content)return}catch(err){return false}itemAddedToTimeline=false;event.center={x:event.clientX,y:event.clientY};if(itemData.target!==\"item\"){me.itemSet._onAddItem(event)}else{me.itemSet._onDropObjectOnItem(event)}me.emit(\"drop\",me.getEventProperties(event));return false}this.dom.center.addEventListener(\"dragover\",handleDragOver.bind(this),false);this.dom.center.addEventListener(\"drop\",handleDrop.bind(this),false);this.customTimes=[];this.touch={};this.redrawCount=0;this.initialDrawDone=false;this.initialRangeChangeDone=false;if(!container)throw new Error(\"No container provided\");container.appendChild(this.dom.root)};Core.prototype.setOptions=function(options){if(options){var fields=[\"width\",\"height\",\"minHeight\",\"maxHeight\",\"autoResize\",\"start\",\"end\",\"clickToUse\",\"dataAttributes\",\"hiddenDates\",\"locale\",\"locales\",\"moment\",\"rtl\",\"zoomKey\",\"horizontalScroll\",\"verticalScroll\"];util.selectiveExtend(fields,this.options,options);this.dom.rollingModeBtn.style.visibility=\"hidden\";if(this.options.rtl){this.dom.container.style.direction=\"rtl\";this.dom.backgroundVertical.className=\"vis-panel vis-background vis-vertical-rtl\"}if(this.options.verticalScroll){if(this.options.rtl){this.dom.rightContainer.className=\"vis-panel vis-right vis-vertical-scroll\"}else{this.dom.leftContainer.className=\"vis-panel vis-left vis-vertical-scroll\"}}if((0,_typeof3[\"default\"])(this.options.orientation)!==\"object\"){this.options.orientation={item:undefined,axis:undefined}}if(\"orientation\"in options){if(typeof options.orientation===\"string\"){this.options.orientation={item:options.orientation,axis:options.orientation}}else if((0,_typeof3[\"default\"])(options.orientation)===\"object\"){if(\"item\"in options.orientation){this.options.orientation.item=options.orientation.item}if(\"axis\"in options.orientation){this.options.orientation.axis=options.orientation.axis}}}if(this.options.orientation.axis===\"both\"){if(!this.timeAxis2){var timeAxis2=this.timeAxis2=new TimeAxis(this.body);timeAxis2.setOptions=function(options){var _options=options?util.extend({},options):{};_options.orientation=\"top\";TimeAxis.prototype.setOptions.call(timeAxis2,_options)};this.components.push(timeAxis2)}}else{if(this.timeAxis2){var index=this.components.indexOf(this.timeAxis2);if(index!==-1){this.components.splice(index,1)}this.timeAxis2.destroy();this.timeAxis2=null}}if(typeof options.drawPoints==\"function\"){options.drawPoints={onRender:options.drawPoints}}if(\"hiddenDates\"in this.options){DateUtil.convertHiddenOptions(this.options.moment,this.body,this.options.hiddenDates)}if(\"clickToUse\"in options){if(options.clickToUse){if(!this.activator){this.activator=new Activator(this.dom.root)}}else{if(this.activator){this.activator.destroy();delete this.activator}}}if(\"showCustomTime\"in options){throw new Error(\"Option `showCustomTime` is deprecated. Create a custom time bar via timeline.addCustomTime(time [, id])\")}this._initAutoResize()}this.components.forEach(function(component){return component.setOptions(options)});if(\"configure\"in options){if(!this.configurator){this.configurator=this._createConfigurator()}this.configurator.setOptions(options.configure);var appliedOptions=util.deepExtend({},this.options);this.components.forEach(function(component){util.deepExtend(appliedOptions,component.options)});this.configurator.setModuleOptions({global:appliedOptions})}this._redraw()};Core.prototype.isActive=function(){return!this.activator||this.activator.active};Core.prototype.destroy=function(){this.setItems(null);this.setGroups(null);this.off();this._stopAutoResize();if(this.dom.root.parentNode){this.dom.root.parentNode.removeChild(this.dom.root)}this.dom=null;if(this.activator){this.activator.destroy();delete this.activator}for(var event in this.listeners){if(this.listeners.hasOwnProperty(event)){delete this.listeners[event]}}this.listeners=null;this.hammer=null;this.components.forEach(function(component){return component.destroy()});this.body=null};Core.prototype.setCustomTime=function(time,id){var customTimes=this.customTimes.filter(function(component){return id===component.options.id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}if(customTimes.length>0){customTimes[0].setCustomTime(time)}};Core.prototype.getCustomTime=function(id){var customTimes=this.customTimes.filter(function(component){return component.options.id===id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}return customTimes[0].getCustomTime()};Core.prototype.setCustomTimeTitle=function(title,id){var customTimes=this.customTimes.filter(function(component){return component.options.id===id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}if(customTimes.length>0){return customTimes[0].setCustomTitle(title)}};Core.prototype.getEventProperties=function(event){return{event:event}};Core.prototype.addCustomTime=function(time,id){var timestamp=time!==undefined?util.convert(time,\"Date\").valueOf():new Date;var exists=this.customTimes.some(function(customTime){return customTime.options.id===id});if(exists){throw new Error(\"A custom time with id \"+(0,_stringify2[\"default\"])(id)+\" already exists\")}var customTime=new CustomTime(this.body,util.extend({},this.options,{time:timestamp,id:id}));this.customTimes.push(customTime);this.components.push(customTime);this._redraw();return id};Core.prototype.removeCustomTime=function(id){var customTimes=this.customTimes.filter(function(bar){return bar.options.id===id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}customTimes.forEach(function(customTime){this.customTimes.splice(this.customTimes.indexOf(customTime),1);this.components.splice(this.components.indexOf(customTime),1);customTime.destroy()}.bind(this))};Core.prototype.getVisibleItems=function(){return this.itemSet&&this.itemSet.getVisibleItems()||[]};Core.prototype.fit=function(options,callback){var range=this.getDataRange();if(range.min===null&&range.max===null){return}var interval=range.max-range.min;var min=new Date(range.min.valueOf()-interval*.01);var max=new Date(range.max.valueOf()+interval*.01);var animation=options&&options.animation!==undefined?options.animation:true;this.range.setRange(min,max,{animation:animation},callback)};Core.prototype.getDataRange=function(){throw new Error(\"Cannot invoke abstract method getDataRange\")};Core.prototype.setWindow=function(start,end,options,callback){if(typeof arguments[2]==\"function\"){callback=arguments[2];options={}}var animation;var range;if(arguments.length==1){range=arguments[0];animation=range.animation!==undefined?range.animation:true;this.range.setRange(range.start,range.end,{animation:animation})}else if(arguments.length==2&&typeof arguments[1]==\"function\"){range=arguments[0];callback=arguments[1];animation=range.animation!==undefined?range.animation:true\n;this.range.setRange(range.start,range.end,{animation:animation},callback)}else{animation=options&&options.animation!==undefined?options.animation:true;this.range.setRange(start,end,{animation:animation},callback)}};Core.prototype.moveTo=function(time,options,callback){if(typeof arguments[1]==\"function\"){callback=arguments[1];options={}}var interval=this.range.end-this.range.start;var t=util.convert(time,\"Date\").valueOf();var start=t-interval/2;var end=t+interval/2;var animation=options&&options.animation!==undefined?options.animation:true;this.range.setRange(start,end,{animation:animation},callback)};Core.prototype.getWindow=function(){var range=this.range.getRange();return{start:new Date(range.start),end:new Date(range.end)}};Core.prototype.zoomIn=function(percentage,options,callback){if(!percentage||percentage<0||percentage>1)return;if(typeof arguments[1]==\"function\"){callback=arguments[1];options={}}var range=this.getWindow();var start=range.start.valueOf();var end=range.end.valueOf();var interval=end-start;var newInterval=interval/(1+percentage);var distance=(interval-newInterval)/2;var newStart=start+distance;var newEnd=end-distance;this.setWindow(newStart,newEnd,options,callback)};Core.prototype.zoomOut=function(percentage,options,callback){if(!percentage||percentage<0||percentage>1)return;if(typeof arguments[1]==\"function\"){callback=arguments[1];options={}}var range=this.getWindow();var start=range.start.valueOf();var end=range.end.valueOf();var interval=end-start;var newStart=start-interval*percentage/2;var newEnd=end+interval*percentage/2;this.setWindow(newStart,newEnd,options,callback)};Core.prototype.redraw=function(){this._redraw()};Core.prototype._redraw=function(){this.redrawCount++;var resized=false;var options=this.options;var props=this.props;var dom=this.dom;if(!dom||!dom.container||dom.root.offsetWidth==0)return;DateUtil.updateHiddenDates(this.options.moment,this.body,this.options.hiddenDates);if(options.orientation==\"top\"){util.addClassName(dom.root,\"vis-top\");util.removeClassName(dom.root,\"vis-bottom\")}else{util.removeClassName(dom.root,\"vis-top\");util.addClassName(dom.root,\"vis-bottom\")}dom.root.style.maxHeight=util.option.asSize(options.maxHeight,\"\");dom.root.style.minHeight=util.option.asSize(options.minHeight,\"\");dom.root.style.width=util.option.asSize(options.width,\"\");props.border.left=(dom.centerContainer.offsetWidth-dom.centerContainer.clientWidth)/2;props.border.right=props.border.left;props.border.top=(dom.centerContainer.offsetHeight-dom.centerContainer.clientHeight)/2;props.border.bottom=props.border.top;props.borderRootHeight=dom.root.offsetHeight-dom.root.clientHeight;props.borderRootWidth=dom.root.offsetWidth-dom.root.clientWidth;if(dom.centerContainer.clientHeight===0){props.border.left=props.border.top;props.border.right=props.border.left}if(dom.root.clientHeight===0){props.borderRootWidth=props.borderRootHeight}props.center.height=dom.center.offsetHeight;props.left.height=dom.left.offsetHeight;props.right.height=dom.right.offsetHeight;props.top.height=dom.top.clientHeight||-props.border.top;props.bottom.height=dom.bottom.clientHeight||-props.border.bottom;var contentHeight=Math.max(props.left.height,props.center.height,props.right.height);var autoHeight=props.top.height+contentHeight+props.bottom.height+props.borderRootHeight+props.border.top+props.border.bottom;dom.root.style.height=util.option.asSize(options.height,autoHeight+\"px\");props.root.height=dom.root.offsetHeight;props.background.height=props.root.height-props.borderRootHeight;var containerHeight=props.root.height-props.top.height-props.bottom.height-props.borderRootHeight;props.centerContainer.height=containerHeight;props.leftContainer.height=containerHeight;props.rightContainer.height=props.leftContainer.height;props.root.width=dom.root.offsetWidth;props.background.width=props.root.width-props.borderRootWidth;if(!this.initialDrawDone){props.scrollbarWidth=util.getScrollBarWidth()}if(options.verticalScroll){if(options.rtl){props.left.width=dom.leftContainer.clientWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth+props.scrollbarWidth||-props.border.right}else{props.left.width=dom.leftContainer.clientWidth+props.scrollbarWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth||-props.border.right}}else{props.left.width=dom.leftContainer.clientWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth||-props.border.right}this._setDOM();var offset=this._updateScrollTop();if(options.orientation.item!=\"top\"){offset+=Math.max(props.centerContainer.height-props.center.height-props.border.top-props.border.bottom,0)}dom.center.style.top=offset+\"px\";var visibilityTop=props.scrollTop==0?\"hidden\":\"\";var visibilityBottom=props.scrollTop==props.scrollTopMin?\"hidden\":\"\";dom.shadowTop.style.visibility=visibilityTop;dom.shadowBottom.style.visibility=visibilityBottom;dom.shadowTopLeft.style.visibility=visibilityTop;dom.shadowBottomLeft.style.visibility=visibilityBottom;dom.shadowTopRight.style.visibility=visibilityTop;dom.shadowBottomRight.style.visibility=visibilityBottom;if(options.verticalScroll){dom.rightContainer.className=\"vis-panel vis-right vis-vertical-scroll\";dom.leftContainer.className=\"vis-panel vis-left vis-vertical-scroll\";dom.shadowTopRight.style.visibility=\"hidden\";dom.shadowBottomRight.style.visibility=\"hidden\";dom.shadowTopLeft.style.visibility=\"hidden\";dom.shadowBottomLeft.style.visibility=\"hidden\";dom.left.style.top=\"0px\";dom.right.style.top=\"0px\"}if(!options.verticalScroll||props.center.height<props.centerContainer.height){dom.left.style.top=offset+\"px\";dom.right.style.top=offset+\"px\";dom.rightContainer.className=dom.rightContainer.className.replace(new RegExp(\"(?:^|\\\\s)\"+\"vis-vertical-scroll\"+\"(?:\\\\s|$)\"),\" \");dom.leftContainer.className=dom.leftContainer.className.replace(new RegExp(\"(?:^|\\\\s)\"+\"vis-vertical-scroll\"+\"(?:\\\\s|$)\"),\" \");props.left.width=dom.leftContainer.clientWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth||-props.border.right;this._setDOM()}var contentsOverflow=props.center.height>props.centerContainer.height;this.hammer.get(\"pan\").set({direction:contentsOverflow?Hammer.DIRECTION_ALL:Hammer.DIRECTION_HORIZONTAL});this.components.forEach(function(component){resized=component.redraw()||resized});var MAX_REDRAW=5;if(resized){if(this.redrawCount<MAX_REDRAW){this.body.emitter.emit(\"_change\");return}else{console.log(\"WARNING: infinite loop in redraw?\")}}else{this.redrawCount=0}this.body.emitter.emit(\"changed\")};Core.prototype._setDOM=function(){var props=this.props;var dom=this.dom;props.leftContainer.width=props.left.width;props.rightContainer.width=props.right.width;var centerWidth=props.root.width-props.left.width-props.right.width-props.borderRootWidth;props.center.width=centerWidth;props.centerContainer.width=centerWidth;props.top.width=centerWidth;props.bottom.width=centerWidth;dom.background.style.height=props.background.height+\"px\";dom.backgroundVertical.style.height=props.background.height+\"px\";dom.backgroundHorizontal.style.height=props.centerContainer.height+\"px\";dom.centerContainer.style.height=props.centerContainer.height+\"px\";dom.leftContainer.style.height=props.leftContainer.height+\"px\";dom.rightContainer.style.height=props.rightContainer.height+\"px\";dom.background.style.width=props.background.width+\"px\";dom.backgroundVertical.style.width=props.centerContainer.width+\"px\";dom.backgroundHorizontal.style.width=props.background.width+\"px\";dom.centerContainer.style.width=props.center.width+\"px\";dom.top.style.width=props.top.width+\"px\";dom.bottom.style.width=props.bottom.width+\"px\";dom.background.style.left=\"0\";dom.background.style.top=\"0\";dom.backgroundVertical.style.left=props.left.width+props.border.left+\"px\";dom.backgroundVertical.style.top=\"0\";dom.backgroundHorizontal.style.left=\"0\";dom.backgroundHorizontal.style.top=props.top.height+\"px\";dom.centerContainer.style.left=props.left.width+\"px\";dom.centerContainer.style.top=props.top.height+\"px\";dom.leftContainer.style.left=\"0\";dom.leftContainer.style.top=props.top.height+\"px\";dom.rightContainer.style.left=props.left.width+props.center.width+\"px\";dom.rightContainer.style.top=props.top.height+\"px\";dom.top.style.left=props.left.width+\"px\";dom.top.style.top=\"0\";dom.bottom.style.left=props.left.width+\"px\";dom.bottom.style.top=props.top.height+props.centerContainer.height+\"px\";dom.center.style.left=\"0\";dom.left.style.left=\"0\";dom.right.style.left=\"0\"};Core.prototype.repaint=function(){throw new Error(\"Function repaint is deprecated. Use redraw instead.\")};Core.prototype.setCurrentTime=function(time){if(!this.currentTime){throw new Error(\"Option showCurrentTime must be true\")}this.currentTime.setCurrentTime(time)};Core.prototype.getCurrentTime=function(){if(!this.currentTime){throw new Error(\"Option showCurrentTime must be true\")}return this.currentTime.getCurrentTime()};Core.prototype._toTime=function(x){return DateUtil.toTime(this,x,this.props.center.width)};Core.prototype._toGlobalTime=function(x){return DateUtil.toTime(this,x,this.props.root.width)};Core.prototype._toScreen=function(time){return DateUtil.toScreen(this,time,this.props.center.width)};Core.prototype._toGlobalScreen=function(time){return DateUtil.toScreen(this,time,this.props.root.width)};Core.prototype._initAutoResize=function(){if(this.options.autoResize==true){this._startAutoResize()}else{this._stopAutoResize()}};Core.prototype._startAutoResize=function(){var me=this;this._stopAutoResize();this._onResize=function(){if(me.options.autoResize!=true){me._stopAutoResize();return}if(me.dom.root){if(me.dom.root.offsetWidth!=me.props.lastWidth||me.dom.root.offsetHeight!=me.props.lastHeight){me.props.lastWidth=me.dom.root.offsetWidth;me.props.lastHeight=me.dom.root.offsetHeight;me.props.scrollbarWidth=util.getScrollBarWidth();me.body.emitter.emit(\"_change\")}}};util.addEventListener(window,\"resize\",this._onResize);if(me.dom.root){me.props.lastWidth=me.dom.root.offsetWidth;me.props.lastHeight=me.dom.root.offsetHeight}this.watchTimer=setInterval(this._onResize,1e3)};Core.prototype._stopAutoResize=function(){if(this.watchTimer){clearInterval(this.watchTimer);this.watchTimer=undefined}if(this._onResize){util.removeEventListener(window,\"resize\",this._onResize);this._onResize=null}};Core.prototype._onTouch=function(event){this.touch.allowDragging=true;this.touch.initialScrollTop=this.props.scrollTop};Core.prototype._onPinch=function(event){this.touch.allowDragging=false};Core.prototype._onDrag=function(event){if(!event)return;if(!this.touch.allowDragging)return;var delta=event.deltaY;var oldScrollTop=this._getScrollTop();var newScrollTop=this._setScrollTop(this.touch.initialScrollTop+delta);if(this.options.verticalScroll){this.dom.left.parentNode.scrollTop=-this.props.scrollTop;this.dom.right.parentNode.scrollTop=-this.props.scrollTop}if(newScrollTop!=oldScrollTop){this.emit(\"verticalDrag\")}};Core.prototype._setScrollTop=function(scrollTop){this.props.scrollTop=scrollTop;this._updateScrollTop();return this.props.scrollTop};Core.prototype._updateScrollTop=function(){var scrollTopMin=Math.min(this.props.centerContainer.height-this.props.center.height,0);if(scrollTopMin!=this.props.scrollTopMin){if(this.options.orientation.item!=\"top\"){this.props.scrollTop+=scrollTopMin-this.props.scrollTopMin}this.props.scrollTopMin=scrollTopMin}if(this.props.scrollTop>0)this.props.scrollTop=0;if(this.props.scrollTop<scrollTopMin)this.props.scrollTop=scrollTopMin;if(this.options.verticalScroll){this.dom.left.parentNode.scrollTop=-this.props.scrollTop;this.dom.right.parentNode.scrollTop=-this.props.scrollTop}return this.props.scrollTop};Core.prototype._getScrollTop=function(){return this.props.scrollTop};Core.prototype._createConfigurator=function(){throw new Error(\"Cannot invoke abstract method _createConfigurator\")};module.exports=Core},function(module,exports,__webpack_require__){\"use strict\";var moment=__webpack_require__(9);var DateUtil=__webpack_require__(36);var util=__webpack_require__(2);function TimeStep(start,end,minimumStep,hiddenDates,options){this.moment=moment;this.current=this.moment();this._start=this.moment();this._end=this.moment();this.autoScale=true;this.scale=\"day\";this.step=1;this.setRange(start,end,minimumStep);this.switchedDay=false;this.switchedMonth=false;this.switchedYear=false;if(Array.isArray(hiddenDates)){this.hiddenDates=hiddenDates}else if(hiddenDates!=undefined){this.hiddenDates=[hiddenDates]}else{this.hiddenDates=[]}this.format=TimeStep.FORMAT;this.options=options?options:{}}TimeStep.FORMAT={minorLabels:{millisecond:\"SSS\",second:\"s\",minute:\"HH:mm\",hour:\"HH:mm\",weekday:\"ddd D\",day:\"D\",week:\"w\",month:\"MMM\",year:\"YYYY\"},majorLabels:{millisecond:\"HH:mm:ss\",second:\"D MMMM HH:mm\",minute:\"ddd D MMMM\",hour:\"ddd D MMMM\",weekday:\"MMMM YYYY\",day:\"MMMM YYYY\",week:\"MMMM YYYY\",month:\"YYYY\",year:\"\"}};TimeStep.prototype.setMoment=function(moment){this.moment=moment;this.current=this.moment(this.current.valueOf());this._start=this.moment(this._start.valueOf());this._end=this.moment(this._end.valueOf())};TimeStep.prototype.setFormat=function(format){var defaultFormat=util.deepExtend({},TimeStep.FORMAT);this.format=util.deepExtend(defaultFormat,format)};TimeStep.prototype.setRange=function(start,end,minimumStep){if(!(start instanceof Date)||!(end instanceof Date)){throw\"No legal start or end date in method setRange\"}this._start=start!=undefined?this.moment(start.valueOf()):new Date;this._end=end!=undefined?this.moment(end.valueOf()):new Date;if(this.autoScale){this.setMinimumStep(minimumStep)}};TimeStep.prototype.start=function(){this.current=this._start.clone();this.roundToMinor()};TimeStep.prototype.roundToMinor=function(){if(this.scale==\"week\"){this.current.weekday(0)}switch(this.scale){case\"year\":this.current.year(this.step*Math.floor(this.current.year()/this.step));this.current.month(0);case\"month\":this.current.date(1);case\"week\":case\"day\":case\"weekday\":this.current.hours(0);case\"hour\":this.current.minutes(0);case\"minute\":this.current.seconds(0);case\"second\":this.current.milliseconds(0)}if(this.step!=1){switch(this.scale){case\"millisecond\":this.current.subtract(this.current.milliseconds()%this.step,\"milliseconds\");break;case\"second\":this.current.subtract(this.current.seconds()%this.step,\"seconds\");break;case\"minute\":this.current.subtract(this.current.minutes()%this.step,\"minutes\");break;case\"hour\":this.current.subtract(this.current.hours()%this.step,\"hours\");break;case\"weekday\":case\"day\":this.current.subtract((this.current.date()-1)%this.step,\"day\");break;case\"week\":this.current.subtract(this.current.week()%this.step,\"week\");break;case\"month\":this.current.subtract(this.current.month()%this.step,\"month\");break;case\"year\":this.current.subtract(this.current.year()%this.step,\"year\");break;default:break}}};TimeStep.prototype.hasNext=function(){return this.current.valueOf()<=this._end.valueOf()};TimeStep.prototype.next=function(){var prev=this.current.valueOf();switch(this.scale){case\"millisecond\":this.current.add(this.step,\"millisecond\");break;case\"second\":this.current.add(this.step,\"second\");break;case\"minute\":this.current.add(this.step,\"minute\");break;case\"hour\":this.current.add(this.step,\"hour\");if(this.current.month()<6){this.current.subtract(this.current.hours()%this.step,\"hour\")}else{if(this.current.hours()%this.step!==0){this.current.add(this.step-this.current.hours()%this.step,\"hour\")}}break;case\"weekday\":case\"day\":this.current.add(this.step,\"day\");break;case\"week\":if(this.current.weekday()!==0){this.current.weekday(0);this.current.add(this.step,\"week\")}else if(this.options.showMajorLabels===false){this.current.add(this.step,\"week\")}else{var nextWeek=this.current.clone();nextWeek.add(1,\"week\");if(nextWeek.isSame(this.current,\"month\")){this.current.add(this.step,\"week\")}else{this.current.add(this.step,\"week\");this.current.date(1)}}break;case\"month\":this.current.add(this.step,\"month\");break;case\"year\":this.current.add(this.step,\"year\");break;default:break}if(this.step!=1){switch(this.scale){case\"millisecond\":if(this.current.milliseconds()>0&&this.current.milliseconds()<this.step)this.current.milliseconds(0);break;case\"second\":if(this.current.seconds()>0&&this.current.seconds()<this.step)this.current.seconds(0);break;case\"minute\":if(this.current.minutes()>0&&this.current.minutes()<this.step)this.current.minutes(0);break;case\"hour\":if(this.current.hours()>0&&this.current.hours()<this.step)this.current.hours(0);break;case\"weekday\":case\"day\":if(this.current.date()<this.step+1)this.current.date(1);break;case\"week\":if(this.current.week()<this.step)this.current.week(1);break;case\"month\":if(this.current.month()<this.step)this.current.month(0);break;case\"year\":break;default:break}}if(this.current.valueOf()==prev){this.current=this._end.clone()}this.switchedDay=false;this.switchedMonth=false;this.switchedYear=false;DateUtil.stepOverHiddenDates(this.moment,this,prev)};TimeStep.prototype.getCurrent=function(){return this.current};TimeStep.prototype.setScale=function(params){if(params&&typeof params.scale==\"string\"){this.scale=params.scale;this.step=params.step>0?params.step:1;this.autoScale=false}};TimeStep.prototype.setAutoScale=function(enable){this.autoScale=enable};TimeStep.prototype.setMinimumStep=function(minimumStep){if(minimumStep==undefined){return}var stepYear=1e3*60*60*24*30*12;var stepMonth=1e3*60*60*24*30;var stepDay=1e3*60*60*24;var stepHour=1e3*60*60;var stepMinute=1e3*60;var stepSecond=1e3;var stepMillisecond=1;if(stepYear*1e3>minimumStep){this.scale=\"year\";this.step=1e3}if(stepYear*500>minimumStep){this.scale=\"year\";this.step=500}if(stepYear*100>minimumStep){this.scale=\"year\";this.step=100}if(stepYear*50>minimumStep){this.scale=\"year\";this.step=50}if(stepYear*10>minimumStep){this.scale=\"year\";this.step=10}if(stepYear*5>minimumStep){this.scale=\"year\";this.step=5}if(stepYear>minimumStep){this.scale=\"year\";this.step=1}if(stepMonth*3>minimumStep){this.scale=\"month\";this.step=3}if(stepMonth>minimumStep){this.scale=\"month\";this.step=1}if(stepDay*5>minimumStep){this.scale=\"day\";this.step=5}if(stepDay*2>minimumStep){this.scale=\"day\";this.step=2}if(stepDay>minimumStep){this.scale=\"day\";this.step=1}if(stepDay/2>minimumStep){this.scale=\"weekday\";this.step=1}if(stepHour*4>minimumStep){this.scale=\"hour\";this.step=4}if(stepHour>minimumStep){this.scale=\"hour\";this.step=1}if(stepMinute*15>minimumStep){this.scale=\"minute\";this.step=15}if(stepMinute*10>minimumStep){this.scale=\"minute\";this.step=10}if(stepMinute*5>minimumStep){this.scale=\"minute\";this.step=5}if(stepMinute>minimumStep){this.scale=\"minute\";this.step=1}if(stepSecond*15>minimumStep){this.scale=\"second\";this.step=15}if(stepSecond*10>minimumStep){this.scale=\"second\";this.step=10}if(stepSecond*5>minimumStep){this.scale=\"second\";this.step=5}if(stepSecond>minimumStep){this.scale=\"second\";this.step=1}if(stepMillisecond*200>minimumStep){this.scale=\"millisecond\";this.step=200}if(stepMillisecond*100>minimumStep){this.scale=\"millisecond\";this.step=100}if(stepMillisecond*50>minimumStep){this.scale=\"millisecond\";this.step=50}if(stepMillisecond*10>minimumStep){this.scale=\"millisecond\";this.step=10}if(stepMillisecond*5>minimumStep){this.scale=\"millisecond\";this.step=5}if(stepMillisecond>minimumStep){this.scale=\"millisecond\";this.step=1}};TimeStep.snap=function(date,scale,step){var clone=moment(date);if(scale==\"year\"){var year=clone.year()+Math.round(clone.month()/12);clone.year(Math.round(year/step)*step);clone.month(0);clone.date(0);clone.hours(0);clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"month\"){if(clone.date()>15){clone.date(1);clone.add(1,\"month\")}else{clone.date(1)}clone.hours(0);clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"week\"){if(clone.weekday()>2){clone.weekday(0);clone.add(1,\"week\")}else{clone.weekday(0)}clone.hours(0);clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"day\"){switch(step){case 5:case 2:clone.hours(Math.round(clone.hours()/24)*24);break;default:clone.hours(Math.round(clone.hours()/12)*12);break}clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"weekday\"){switch(step){case 5:case 2:clone.hours(Math.round(clone.hours()/12)*12);break;default:clone.hours(Math.round(clone.hours()/6)*6);break}clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"hour\"){switch(step){case 4:clone.minutes(Math.round(clone.minutes()/60)*60);break;default:clone.minutes(Math.round(clone.minutes()/30)*30);break}clone.seconds(0);clone.milliseconds(0)}else if(scale==\"minute\"){switch(step){case 15:case 10:clone.minutes(Math.round(clone.minutes()/5)*5);clone.seconds(0);break;case 5:clone.seconds(Math.round(clone.seconds()/60)*60);break;default:clone.seconds(Math.round(clone.seconds()/30)*30);break}clone.milliseconds(0)}else if(scale==\"second\"){switch(step){case 15:case 10:clone.seconds(Math.round(clone.seconds()/5)*5);clone.milliseconds(0);break;case 5:clone.milliseconds(Math.round(clone.milliseconds()/1e3)*1e3);break;default:clone.milliseconds(Math.round(clone.milliseconds()/500)*500);break}}else if(scale==\"millisecond\"){var _step=step>5?step/2:1;clone.milliseconds(Math.round(clone.milliseconds()/_step)*_step)}return clone};TimeStep.prototype.isMajor=function(){if(this.switchedYear==true){switch(this.scale){case\"year\":case\"month\":case\"week\":case\"weekday\":case\"day\":case\"hour\":case\"minute\":case\"second\":case\"millisecond\":return true;default:return false}}else if(this.switchedMonth==true){switch(this.scale){case\"week\":case\"weekday\":case\"day\":case\"hour\":case\"minute\":case\"second\":case\"millisecond\":return true;default:return false}}else if(this.switchedDay==true){switch(this.scale){case\"millisecond\":case\"second\":case\"minute\":case\"hour\":return true;default:return false}}var date=this.moment(this.current);switch(this.scale){case\"millisecond\":return date.milliseconds()==0;case\"second\":return date.seconds()==0;case\"minute\":return date.hours()==0&&date.minutes()==0;case\"hour\":return date.hours()==0;case\"weekday\":case\"day\":return date.date()==1;case\"week\":return date.date()==1;case\"month\":return date.month()==0;case\"year\":return false;default:return false}};TimeStep.prototype.getLabelMinor=function(date){if(date==undefined){date=this.current}if(date instanceof Date){date=this.moment(date)}if(typeof this.format.minorLabels===\"function\"){return this.format.minorLabels(date,this.scale,this.step)}var format=this.format.minorLabels[this.scale];switch(this.scale){case\"week\":if(this.isMajor()&&date.weekday()!==0){return\"\"}default:return format&&format.length>0?this.moment(date).format(format):\"\"}};TimeStep.prototype.getLabelMajor=function(date){if(date==undefined){date=this.current}if(date instanceof Date){date=this.moment(date)}if(typeof this.format.majorLabels===\"function\"){return this.format.majorLabels(date,this.scale,this.step)}var format=this.format.majorLabels[this.scale];return format&&format.length>0?this.moment(date).format(format):\"\"};TimeStep.prototype.getClassName=function(){var _moment=this.moment;var m=this.moment(this.current);var current=m.locale?m.locale(\"en\"):m.lang(\"en\");var step=this.step;var classNames=[];function even(value){return value/step%2==0?\" vis-even\":\" vis-odd\"}function today(date){if(date.isSame(new Date,\"day\")){return\" vis-today\"}if(date.isSame(_moment().add(1,\"day\"),\"day\")){return\" vis-tomorrow\"}if(date.isSame(_moment().add(-1,\"day\"),\"day\")){return\" vis-yesterday\"}return\"\"}function currentWeek(date){return date.isSame(new Date,\"week\")?\" vis-current-week\":\"\"}function currentMonth(date){return date.isSame(new Date,\"month\")?\" vis-current-month\":\"\"}function currentYear(date){return date.isSame(new Date,\"year\")?\" vis-current-year\":\"\"}switch(this.scale){case\"millisecond\":classNames.push(today(current));classNames.push(even(current.milliseconds()));break;case\"second\":classNames.push(today(current));classNames.push(even(current.seconds()));break;case\"minute\":classNames.push(today(current));classNames.push(even(current.minutes()));break;case\"hour\":classNames.push(\"vis-h\"+current.hours()+(this.step==4?\"-h\"+(current.hours()+4):\"\"));classNames.push(today(current));classNames.push(even(current.hours()));break;case\"weekday\":classNames.push(\"vis-\"+current.format(\"dddd\").toLowerCase());classNames.push(today(current));classNames.push(currentWeek(current));classNames.push(even(current.date()));break;case\"day\":classNames.push(\"vis-day\"+current.date());classNames.push(\"vis-\"+current.format(\"MMMM\").toLowerCase());classNames.push(today(current));classNames.push(currentMonth(current));classNames.push(this.step<=2?today(current):\"\");classNames.push(this.step<=2?\"vis-\"+current.format(\"dddd\").toLowerCase():\"\");classNames.push(even(current.date()-1));break;case\"week\":classNames.push(\"vis-week\"+current.format(\"w\"));classNames.push(currentWeek(current));classNames.push(even(current.week()));break;case\"month\":classNames.push(\"vis-\"+current.format(\"MMMM\").toLowerCase());classNames.push(currentMonth(current));classNames.push(even(current.month()));break;case\"year\":classNames.push(\"vis-year\"+current.year());classNames.push(currentYear(current));classNames.push(even(current.year()));break}return classNames.filter(String).join(\" \")};module.exports=TimeStep},function(module,exports,__webpack_require__){\"use strict\";var util=__webpack_require__(2);var Component=__webpack_require__(16);var moment=__webpack_require__(9);var locales=__webpack_require__(98);function CurrentTime(body,options){this.body=body;this.defaultOptions={rtl:false,showCurrentTime:true,moment:moment,locales:locales,locale:\"en\"};this.options=util.extend({},this.defaultOptions);this.offset=0;this._create();this.setOptions(options)}CurrentTime.prototype=new Component;CurrentTime.prototype._create=function(){var bar=document.createElement(\"div\");bar.className=\"vis-current-time\";bar.style.position=\"absolute\";bar.style.top=\"0px\";bar.style.height=\"100%\";this.bar=bar};CurrentTime.prototype.destroy=function(){this.options.showCurrentTime=false;this.redraw();this.body=null};CurrentTime.prototype.setOptions=function(options){if(options){util.selectiveExtend([\"rtl\",\"showCurrentTime\",\"moment\",\"locale\",\"locales\"],this.options,options)}};CurrentTime.prototype.redraw=function(){if(this.options.showCurrentTime){var parent=this.body.dom.backgroundVertical;if(this.bar.parentNode!=parent){if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}parent.appendChild(this.bar);this.start()}var now=this.options.moment((new Date).valueOf()+this.offset);var x=this.body.util.toScreen(now);var locale=this.options.locales[this.options.locale];if(!locale){if(!this.warned){console.log(\"WARNING: options.locales['\"+this.options.locale+\"'] not found. See http://visjs.org/docs/timeline/#Localization\");this.warned=true}locale=this.options.locales[\"en\"]}var title=locale.current+\" \"+locale.time+\": \"+now.format(\"dddd, MMMM Do YYYY, H:mm:ss\");title=title.charAt(0).toUpperCase()+title.substring(1);if(this.options.rtl){this.bar.style.right=x+\"px\"}else{this.bar.style.left=x+\"px\"}this.bar.title=title}else{if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}this.stop()}return false};CurrentTime.prototype.start=function(){var me=this;function update(){me.stop();var scale=me.body.range.conversion(me.body.domProps.center.width).scale;var interval=1/scale/10;if(interval<30)interval=30;if(interval>1e3)interval=1e3;me.redraw();me.body.emitter.emit(\"currentTimeTick\");me.currentTimeTimer=setTimeout(update,interval)}update()};CurrentTime.prototype.stop=function(){if(this.currentTimeTimer!==undefined){clearTimeout(this.currentTimeTimer);delete this.currentTimeTimer}};CurrentTime.prototype.setCurrentTime=function(time){var t=util.convert(time,\"Date\").valueOf();var now=(new Date).valueOf();this.offset=t-now;this.redraw()};CurrentTime.prototype.getCurrentTime=function(){return new Date((new Date).valueOf()+this.offset)};module.exports=CurrentTime},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var stack=__webpack_require__(100);function Group(groupId,data,itemSet){this.groupId=groupId;this.subgroups={};this.subgroupStack={};this.subgroupStackAll=false;this.doInnerStack=false;this.subgroupIndex=0;this.subgroupOrderer=data&&data.subgroupOrder;this.itemSet=itemSet;this.isVisible=null;this.stackDirty=true;if(data&&data.nestedGroups){this.nestedGroups=data.nestedGroups;if(data.showNested==false){this.showNested=false}else{this.showNested=true}}if(data&&data.subgroupStack){if(typeof data.subgroupStack===\"boolean\"){this.doInnerStack=data.subgroupStack;this.subgroupStackAll=data.subgroupStack}else{for(var key in data.subgroupStack){this.subgroupStack[key]=data.subgroupStack[key];this.doInnerStack=this.doInnerStack||data.subgroupStack[key]}}}this.nestedInGroup=null;this.dom={};this.props={label:{width:0,height:0}};this.className=null;this.items={};this.visibleItems=[];this.itemsInRange=[];this.orderedItems={byStart:[],byEnd:[]};this.checkRangedItems=false;var me=this;this.itemSet.body.emitter.on(\"checkRangedItems\",function(){me.checkRangedItems=true});this._create();this.setData(data)}Group.prototype._create=function(){var label=document.createElement(\"div\");if(this.itemSet.options.groupEditable.order){label.className=\"vis-label draggable\"}else{label.className=\"vis-label\"}this.dom.label=label;var inner=document.createElement(\"div\");inner.className=\"vis-inner\";label.appendChild(inner);this.dom.inner=inner;var foreground=document.createElement(\"div\");foreground.className=\"vis-group\";foreground[\"timeline-group\"]=this;this.dom.foreground=foreground;this.dom.background=document.createElement(\"div\");this.dom.background.className=\"vis-group\";this.dom.axis=document.createElement(\"div\");this.dom.axis.className=\"vis-group\";this.dom.marker=document.createElement(\"div\");this.dom.marker.style.visibility=\"hidden\";this.dom.marker.style.position=\"absolute\";this.dom.marker.innerHTML=\"\";this.dom.background.appendChild(this.dom.marker)};Group.prototype.setData=function(data){var content;var templateFunction;if(this.itemSet.options&&this.itemSet.options.groupTemplate){templateFunction=this.itemSet.options.groupTemplate.bind(this);content=templateFunction(data,this.dom.inner)}else{content=data&&data.content}if(content instanceof Element){this.dom.inner.appendChild(content);while(this.dom.inner.firstChild){this.dom.inner.removeChild(this.dom.inner.firstChild)}this.dom.inner.appendChild(content)}else if(content instanceof Object){templateFunction(data,this.dom.inner)}else if(content!==undefined&&content!==null){this.dom.inner.innerHTML=content}else{this.dom.inner.innerHTML=this.groupId||\"\"}this.dom.label.title=data&&data.title||\"\";if(!this.dom.inner.firstChild){util.addClassName(this.dom.inner,\"vis-hidden\")}else{util.removeClassName(this.dom.inner,\"vis-hidden\")}if(data&&data.nestedGroups){if(!this.nestedGroups||this.nestedGroups!=data.nestedGroups){this.nestedGroups=data.nestedGroups}if(data.showNested!==undefined||this.showNested===undefined){if(data.showNested==false){this.showNested=false}else{this.showNested=true}}util.addClassName(this.dom.label,\"vis-nesting-group\");var collapsedDirClassName=this.itemSet.options.rtl?\"collapsed-rtl\":\"collapsed\";if(this.showNested){util.removeClassName(this.dom.label,collapsedDirClassName);util.addClassName(this.dom.label,\"expanded\")}else{util.removeClassName(this.dom.label,\"expanded\");util.addClassName(this.dom.label,collapsedDirClassName)}}else if(this.nestedGroups){this.nestedGroups=null;collapsedDirClassName=this.itemSet.options.rtl?\"collapsed-rtl\":\"collapsed\";util.removeClassName(this.dom.label,collapsedDirClassName);util.removeClassName(this.dom.label,\"expanded\");util.removeClassName(this.dom.label,\"vis-nesting-group\")}if(data&&data.nestedInGroup){util.addClassName(this.dom.label,\"vis-nested-group\");if(this.itemSet.options&&this.itemSet.options.rtl){this.dom.inner.style.paddingRight=\"30px\"}else{\nthis.dom.inner.style.paddingLeft=\"30px\"}}var className=data&&data.className||null;if(className!=this.className){if(this.className){util.removeClassName(this.dom.label,this.className);util.removeClassName(this.dom.foreground,this.className);util.removeClassName(this.dom.background,this.className);util.removeClassName(this.dom.axis,this.className)}util.addClassName(this.dom.label,className);util.addClassName(this.dom.foreground,className);util.addClassName(this.dom.background,className);util.addClassName(this.dom.axis,className);this.className=className}if(this.style){util.removeCssText(this.dom.label,this.style);this.style=null}if(data&&data.style){util.addCssText(this.dom.label,data.style);this.style=data.style}};Group.prototype.getLabelWidth=function(){return this.props.label.width};Group.prototype._didMarkerHeightChange=function(){var markerHeight=this.dom.marker.clientHeight;if(markerHeight!=this.lastMarkerHeight){this.lastMarkerHeight=markerHeight;var redrawQueue={};var redrawQueueLength=0;util.forEach(this.items,function(item,key){item.dirty=true;if(item.displayed){var returnQueue=true;redrawQueue[key]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[key].length}});var needRedraw=redrawQueueLength>0;if(needRedraw){for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns){fns[i]()})}}return true}};Group.prototype._calculateGroupSizeAndPosition=function(){var offsetTop=this.dom.foreground.offsetTop;var offsetLeft=this.dom.foreground.offsetLeft;var offsetWidth=this.dom.foreground.offsetWidth;this.top=offsetTop;this.right=offsetLeft;this.width=offsetWidth};Group.prototype._redrawItems=function(forceRestack,lastIsVisible,margin,range){var restack=forceRestack||this.stackDirty||this.isVisible&&!lastIsVisible;if(restack){var visibleSubgroups={};var subgroup=null;if(typeof this.itemSet.options.order===\"function\"){var me=this;var limitSize=false;var redrawQueue={};var redrawQueueLength=0;util.forEach(this.items,function(item,key){if(!item.displayed){var returnQueue=true;redrawQueue[key]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[key].length;me.visibleItems.push(item)}});var needRedraw=redrawQueueLength>0;if(needRedraw){for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns){fns[i]()})}}util.forEach(this.items,function(item){item.repositionX(limitSize)});if(this.doInnerStack&&this.itemSet.options.stackSubgroups){for(subgroup in this.subgroups){visibleSubgroups[subgroup]=this.subgroups[subgroup].items.slice().sort(function(a,b){return me.itemSet.options.order(a.data,b.data)})}stack.stackSubgroupsWithInnerStack(visibleSubgroups,margin,this.subgroups)}else{var customOrderedItems=this.orderedItems.byStart.slice().sort(function(a,b){return me.itemSet.options.order(a.data,b.data)});stack.stack(customOrderedItems,margin,true)}this.visibleItems=this._updateItemsInRange(this.orderedItems,this.visibleItems,range)}else{this.visibleItems=this._updateItemsInRange(this.orderedItems,this.visibleItems,range);if(this.itemSet.options.stack){if(this.doInnerStack&&this.itemSet.options.stackSubgroups){for(subgroup in this.subgroups){visibleSubgroups[subgroup]=this.subgroups[subgroup].items}stack.stackSubgroupsWithInnerStack(visibleSubgroups,margin,this.subgroups)}else{stack.stack(this.visibleItems,margin,true)}}else{stack.nostack(this.visibleItems,margin,this.subgroups,this.itemSet.options.stackSubgroups)}}this.stackDirty=false}};Group.prototype._didResize=function(resized,height){resized=util.updateProperty(this,\"height\",height)||resized;var labelWidth=this.dom.inner.clientWidth;var labelHeight=this.dom.inner.clientHeight;resized=util.updateProperty(this.props.label,\"width\",labelWidth)||resized;resized=util.updateProperty(this.props.label,\"height\",labelHeight)||resized;return resized};Group.prototype._applyGroupHeight=function(height){this.dom.background.style.height=height+\"px\";this.dom.foreground.style.height=height+\"px\";this.dom.label.style.height=height+\"px\"};Group.prototype._updateItemsVerticalPosition=function(margin){for(var i=0,ii=this.visibleItems.length;i<ii;i++){var item=this.visibleItems[i];item.repositionY(margin);if(!this.isVisible&&this.groupId!=\"__background__\"){if(item.displayed)item.hide()}}};Group.prototype.redraw=function(range,margin,forceRestack,returnQueue){var resized=false;var lastIsVisible=this.isVisible;var height;var queue=[function(){forceRestack=this._didMarkerHeightChange.bind(this)}.bind(this),this._updateSubGroupHeights.bind(this,margin),this._calculateGroupSizeAndPosition.bind(this),function(){this.isVisible=this._isGroupVisible.bind(this)(range,margin)}.bind(this),function(){this._redrawItems.bind(this)(forceRestack,lastIsVisible,margin,range)}.bind(this),this._updateSubgroupsSizes.bind(this),function(){height=this._calculateHeight.bind(this)(margin)}.bind(this),this._calculateGroupSizeAndPosition.bind(this),function(){resized=this._didResize.bind(this)(resized,height)}.bind(this),function(){this._applyGroupHeight.bind(this)(height)}.bind(this),function(){this._updateItemsVerticalPosition.bind(this)(margin)}.bind(this),function(){if(!this.isVisible&&this.height){resized=false}return resized}];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};Group.prototype._updateSubGroupHeights=function(margin){if((0,_keys2[\"default\"])(this.subgroups).length>0){var me=this;this.resetSubgroups();util.forEach(this.visibleItems,function(item){if(item.data.subgroup!==undefined){me.subgroups[item.data.subgroup].height=Math.max(me.subgroups[item.data.subgroup].height,item.height+margin.item.vertical);me.subgroups[item.data.subgroup].visible=true}})}};Group.prototype._isGroupVisible=function(range,margin){return this.top<=range.body.domProps.centerContainer.height-range.body.domProps.scrollTop+margin.axis&&this.top+this.height+margin.axis>=-range.body.domProps.scrollTop};Group.prototype._calculateHeight=function(margin){var height;var itemsInRange=this.visibleItems;if(itemsInRange.length>0){var min=itemsInRange[0].top;var max=itemsInRange[0].top+itemsInRange[0].height;util.forEach(itemsInRange,function(item){min=Math.min(min,item.top);max=Math.max(max,item.top+item.height)});if(min>margin.axis){var offset=min-margin.axis;max-=offset;util.forEach(itemsInRange,function(item){item.top-=offset})}height=max+margin.item.vertical/2}else{height=0}height=Math.max(height,this.props.label.height);return height};Group.prototype.show=function(){if(!this.dom.label.parentNode){this.itemSet.dom.labelSet.appendChild(this.dom.label)}if(!this.dom.foreground.parentNode){this.itemSet.dom.foreground.appendChild(this.dom.foreground)}if(!this.dom.background.parentNode){this.itemSet.dom.background.appendChild(this.dom.background)}if(!this.dom.axis.parentNode){this.itemSet.dom.axis.appendChild(this.dom.axis)}};Group.prototype.hide=function(){var label=this.dom.label;if(label.parentNode){label.parentNode.removeChild(label)}var foreground=this.dom.foreground;if(foreground.parentNode){foreground.parentNode.removeChild(foreground)}var background=this.dom.background;if(background.parentNode){background.parentNode.removeChild(background)}var axis=this.dom.axis;if(axis.parentNode){axis.parentNode.removeChild(axis)}};Group.prototype.add=function(item){this.items[item.id]=item;item.setParent(this);this.stackDirty=true;if(item.data.subgroup!==undefined){this._addToSubgroup(item);this.orderSubgroups()}if(this.visibleItems.indexOf(item)==-1){var range=this.itemSet.body.range;this._checkIfVisible(item,this.visibleItems,range)}};Group.prototype._addToSubgroup=function(item,subgroupId){subgroupId=subgroupId||item.data.subgroup;if(subgroupId!=undefined&&this.subgroups[subgroupId]===undefined){this.subgroups[subgroupId]={height:0,top:0,start:item.data.start,end:item.data.end||item.data.start,visible:false,index:this.subgroupIndex,items:[],stack:this.subgroupStackAll||this.subgroupStack[subgroupId]||false};this.subgroupIndex++}if(new Date(item.data.start)<new Date(this.subgroups[subgroupId].start)){this.subgroups[subgroupId].start=item.data.start}var itemEnd=item.data.end||item.data.start;if(new Date(itemEnd)>new Date(this.subgroups[subgroupId].end)){this.subgroups[subgroupId].end=itemEnd}this.subgroups[subgroupId].items.push(item)};Group.prototype._updateSubgroupsSizes=function(){var me=this;if(me.subgroups){for(var subgroup in me.subgroups){var initialEnd=me.subgroups[subgroup].items[0].data.end||me.subgroups[subgroup].items[0].data.start;var newStart=me.subgroups[subgroup].items[0].data.start;var newEnd=initialEnd-1;me.subgroups[subgroup].items.forEach(function(item){if(new Date(item.data.start)<new Date(newStart)){newStart=item.data.start}var itemEnd=item.data.end||item.data.start;if(new Date(itemEnd)>new Date(newEnd)){newEnd=itemEnd}});me.subgroups[subgroup].start=newStart;me.subgroups[subgroup].end=new Date(newEnd-1)}}};Group.prototype.orderSubgroups=function(){if(this.subgroupOrderer!==undefined){var sortArray=[];var subgroup;if(typeof this.subgroupOrderer==\"string\"){for(subgroup in this.subgroups){sortArray.push({subgroup:subgroup,sortField:this.subgroups[subgroup].items[0].data[this.subgroupOrderer]})}sortArray.sort(function(a,b){return a.sortField-b.sortField})}else if(typeof this.subgroupOrderer==\"function\"){for(subgroup in this.subgroups){sortArray.push(this.subgroups[subgroup].items[0].data)}sortArray.sort(this.subgroupOrderer)}if(sortArray.length>0){for(var i=0;i<sortArray.length;i++){this.subgroups[sortArray[i].subgroup].index=i}}}};Group.prototype.resetSubgroups=function(){for(var subgroup in this.subgroups){if(this.subgroups.hasOwnProperty(subgroup)){this.subgroups[subgroup].visible=false;this.subgroups[subgroup].height=0}}};Group.prototype.remove=function(item){delete this.items[item.id];item.setParent(null);this.stackDirty=true;var index=this.visibleItems.indexOf(item);if(index!=-1)this.visibleItems.splice(index,1);if(item.data.subgroup!==undefined){this._removeFromSubgroup(item);this.orderSubgroups()}};Group.prototype._removeFromSubgroup=function(item,subgroupId){subgroupId=subgroupId||item.data.subgroup;if(subgroupId!=undefined){var subgroup=this.subgroups[subgroupId];if(subgroup){var itemIndex=subgroup.items.indexOf(item);if(itemIndex>=0){subgroup.items.splice(itemIndex,1);if(!subgroup.items.length){delete this.subgroups[subgroupId]}else{this._updateSubgroupsSizes()}}}}};Group.prototype.removeFromDataSet=function(item){this.itemSet.removeItem(item.id)};Group.prototype.order=function(){var array=util.toArray(this.items);var startArray=[];var endArray=[];for(var i=0;i<array.length;i++){if(array[i].data.end!==undefined){endArray.push(array[i])}startArray.push(array[i])}this.orderedItems={byStart:startArray,byEnd:endArray};stack.orderByStart(this.orderedItems.byStart);stack.orderByEnd(this.orderedItems.byEnd)};Group.prototype._updateItemsInRange=function(orderedItems,oldVisibleItems,range){var visibleItems=[];var visibleItemsLookup={};var interval=(range.end-range.start)/4;var lowerBound=range.start-interval;var upperBound=range.end+interval;var searchFunction=function searchFunction(value){if(value<lowerBound){return-1}else if(value<=upperBound){return 0}else{return 1}};if(oldVisibleItems.length>0){for(var i=0;i<oldVisibleItems.length;i++){this._checkIfVisibleWithReference(oldVisibleItems[i],visibleItems,visibleItemsLookup,range)}}var initialPosByStart=util.binarySearchCustom(orderedItems.byStart,searchFunction,\"data\",\"start\");this._traceVisible(initialPosByStart,orderedItems.byStart,visibleItems,visibleItemsLookup,function(item){return item.data.start<lowerBound||item.data.start>upperBound});if(this.checkRangedItems==true){this.checkRangedItems=false;for(i=0;i<orderedItems.byEnd.length;i++){this._checkIfVisibleWithReference(orderedItems.byEnd[i],visibleItems,visibleItemsLookup,range)}}else{var initialPosByEnd=util.binarySearchCustom(orderedItems.byEnd,searchFunction,\"data\",\"end\");this._traceVisible(initialPosByEnd,orderedItems.byEnd,visibleItems,visibleItemsLookup,function(item){return item.data.end<lowerBound||item.data.end>upperBound})}var redrawQueue={};var redrawQueueLength=0;for(i=0;i<visibleItems.length;i++){var item=visibleItems[i];if(!item.displayed){var returnQueue=true;redrawQueue[i]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[i].length}}var needRedraw=redrawQueueLength>0;if(needRedraw){for(var j=0;j<redrawQueueLength;j++){util.forEach(redrawQueue,function(fns){fns[j]()})}}for(i=0;i<visibleItems.length;i++){visibleItems[i].repositionX()}return visibleItems};Group.prototype._traceVisible=function(initialPos,items,visibleItems,visibleItemsLookup,breakCondition){if(initialPos!=-1){var i,item;for(i=initialPos;i>=0;i--){item=items[i];if(breakCondition(item)){break}else{if(visibleItemsLookup[item.id]===undefined){visibleItemsLookup[item.id]=true;visibleItems.push(item)}}}for(i=initialPos+1;i<items.length;i++){item=items[i];if(breakCondition(item)){break}else{if(visibleItemsLookup[item.id]===undefined){visibleItemsLookup[item.id]=true;visibleItems.push(item)}}}}};Group.prototype._checkIfVisible=function(item,visibleItems,range){if(item.isVisible(range)){if(!item.displayed)item.show();item.repositionX();visibleItems.push(item)}else{if(item.displayed)item.hide()}};Group.prototype._checkIfVisibleWithReference=function(item,visibleItems,visibleItemsLookup,range){if(item.isVisible(range)){if(visibleItemsLookup[item.id]===undefined){visibleItemsLookup[item.id]=true;visibleItems.push(item)}}else{if(item.displayed)item.hide()}};Group.prototype.changeSubgroup=function(item,oldSubgroup,newSubgroup){this._removeFromSubgroup(item,oldSubgroup);this._addToSubgroup(item,newSubgroup);this.orderSubgroups()};module.exports=Group},function(module,exports,__webpack_require__){\"use strict\";var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Group=__webpack_require__(68);function BackgroundGroup(groupId,data,itemSet){Group.call(this,groupId,data,itemSet);this.width=0;this.height=0;this.top=0;this.left=0}BackgroundGroup.prototype=(0,_create2[\"default\"])(Group.prototype);BackgroundGroup.prototype.redraw=function(range,margin,forceRestack){var resized=false;this.visibleItems=this._updateItemsInRange(this.orderedItems,this.visibleItems,range);this.width=this.dom.background.offsetWidth;this.dom.background.style.height=\"0\";for(var i=0,ii=this.visibleItems.length;i<ii;i++){var item=this.visibleItems[i];item.repositionY(margin)}return resized};BackgroundGroup.prototype.show=function(){if(!this.dom.background.parentNode){this.itemSet.dom.background.appendChild(this.dom.background)}};module.exports=BackgroundGroup},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);function RangeItem(data,conversion,options){this.props={content:{width:0}};this.overflow=false;this.options=options;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data.id)}if(data.end==undefined){throw new Error('Property \"end\" missing in item '+data.id)}}Item.call(this,data,conversion,options)}RangeItem.prototype=new Item(null,null,null);RangeItem.prototype.baseClassName=\"vis-item vis-range\";RangeItem.prototype.isVisible=function(range){return this.data.start<range.end&&this.data.end>range.start};RangeItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.box=document.createElement(\"div\");this.dom.frame=document.createElement(\"div\");this.dom.frame.className=\"vis-item-overflow\";this.dom.box.appendChild(this.dom.frame);this.dom.visibleFrame=document.createElement(\"div\");this.dom.visibleFrame.className=\"vis-item-visible-frame\";this.dom.box.appendChild(this.dom.visibleFrame);this.dom.content=document.createElement(\"div\");this.dom.content.className=\"vis-item-content\";this.dom.frame.appendChild(this.dom.content);this.dom.box[\"timeline-item\"]=this;this.dirty=true}};RangeItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.box.parentNode){var foreground=this.parent.dom.foreground;if(!foreground){throw new Error(\"Cannot redraw item: parent has no foreground container element\")}foreground.appendChild(this.dom.box)}this.displayed=true};RangeItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.box);this._updateStyle(this.dom.box);var editable=this.editable.updateTime||this.editable.updateGroup;var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\")+(editable?\" vis-editable\":\" vis-readonly\");this.dom.box.className=this.baseClassName+className;this.dom.content.style.maxWidth=\"none\"}};RangeItem.prototype._getDomComponentsSizes=function(){this.overflow=window.getComputedStyle(this.dom.frame).overflow!==\"hidden\";return{content:{width:this.dom.content.offsetWidth},box:{height:this.dom.box.offsetHeight}}};RangeItem.prototype._updateDomComponentsSizes=function(sizes){this.props.content.width=sizes.content.width;this.height=sizes.box.height;this.dom.content.style.maxWidth=\"\";this.dirty=false};RangeItem.prototype._repaintDomAdditionals=function(){this._repaintOnItemUpdateTimeTooltip(this.dom.box);this._repaintDeleteButton(this.dom.box);this._repaintDragCenter();this._repaintDragLeft();this._repaintDragRight()};RangeItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes.bind(this)()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};RangeItem.prototype.show=function(){if(!this.displayed){this.redraw()}};RangeItem.prototype.hide=function(){if(this.displayed){var box=this.dom.box;if(box.parentNode){box.parentNode.removeChild(box)}this.displayed=false}};RangeItem.prototype.repositionX=function(limitSize){var parentWidth=this.parent.width;var start=this.conversion.toScreen(this.data.start);var end=this.conversion.toScreen(this.data.end);var align=this.data.align===undefined?this.options.align:this.data.align;var contentStartPosition;var contentWidth;if(this.data.limitSize!==false&&(limitSize===undefined||limitSize===true)){if(start<-parentWidth){start=-parentWidth}if(end>2*parentWidth){end=2*parentWidth}}var boxWidth=Math.max(end-start+.5,1);if(this.overflow){if(this.options.rtl){this.right=start}else{this.left=start}this.width=boxWidth+this.props.content.width;contentWidth=this.props.content.width}else{if(this.options.rtl){this.right=start}else{this.left=start}this.width=boxWidth;contentWidth=Math.min(end-start,this.props.content.width)}if(this.options.rtl){this.dom.box.style.right=this.right+\"px\"}else{this.dom.box.style.left=this.left+\"px\"}this.dom.box.style.width=boxWidth+\"px\";switch(align){case\"left\":if(this.options.rtl){this.dom.content.style.right=\"0\"}else{this.dom.content.style.left=\"0\"}break;case\"right\":if(this.options.rtl){this.dom.content.style.right=Math.max(boxWidth-contentWidth,0)+\"px\"}else{this.dom.content.style.left=Math.max(boxWidth-contentWidth,0)+\"px\"}break;case\"center\":if(this.options.rtl){this.dom.content.style.right=Math.max((boxWidth-contentWidth)/2,0)+\"px\"}else{this.dom.content.style.left=Math.max((boxWidth-contentWidth)/2,0)+\"px\"}break;default:if(this.overflow){if(end>0){contentStartPosition=Math.max(-start,0)}else{contentStartPosition=-contentWidth}}else{if(start<0){contentStartPosition=-start}else{contentStartPosition=0}}if(this.options.rtl){this.dom.content.style.right=contentStartPosition+\"px\"}else{this.dom.content.style.left=contentStartPosition+\"px\";this.dom.content.style.width=\"calc(100% - \"+contentStartPosition+\"px)\"}}};RangeItem.prototype.repositionY=function(){var orientation=this.options.orientation.item;var box=this.dom.box;if(orientation==\"top\"){box.style.top=this.top+\"px\"}else{box.style.top=this.parent.height-this.top-this.height+\"px\"}};RangeItem.prototype._repaintDragLeft=function(){if((this.selected||this.options.itemsAlwaysDraggable.range)&&this.options.editable.updateTime&&!this.dom.dragLeft){var dragLeft=document.createElement(\"div\");dragLeft.className=\"vis-drag-left\";dragLeft.dragLeftItem=this;this.dom.box.appendChild(dragLeft);this.dom.dragLeft=dragLeft}else if(!this.selected&&!this.options.itemsAlwaysDraggable.range&&this.dom.dragLeft){if(this.dom.dragLeft.parentNode){this.dom.dragLeft.parentNode.removeChild(this.dom.dragLeft)}this.dom.dragLeft=null}};RangeItem.prototype._repaintDragRight=function(){if((this.selected||this.options.itemsAlwaysDraggable.range)&&this.options.editable.updateTime&&!this.dom.dragRight){var dragRight=document.createElement(\"div\");dragRight.className=\"vis-drag-right\";dragRight.dragRightItem=this;this.dom.box.appendChild(dragRight);this.dom.dragRight=dragRight}else if(!this.selected&&!this.options.itemsAlwaysDraggable.range&&this.dom.dragRight){if(this.dom.dragRight.parentNode){this.dom.dragRight.parentNode.removeChild(this.dom.dragRight)}this.dom.dragRight=null}};module.exports=RangeItem},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var ColorPicker=__webpack_require__(179)[\"default\"];var Configurator=function(){function Configurator(parentModule,defaultContainer,configureOptions){var pixelRatio=arguments.length>3&&arguments[3]!==undefined?arguments[3]:1;(0,_classCallCheck3[\"default\"])(this,Configurator);this.parent=parentModule;this.changedOptions=[];this.container=defaultContainer;this.allowCreation=false;this.options={};this.initialized=false;this.popupCounter=0;this.defaultOptions={enabled:false,filter:true,container:undefined,showButton:true};util.extend(this.options,this.defaultOptions);this.configureOptions=configureOptions;this.moduleOptions={};this.domElements=[];this.popupDiv={};this.popupLimit=5;this.popupHistory={};this.colorPicker=new ColorPicker(pixelRatio);this.wrapper=undefined}(0,_createClass3[\"default\"])(Configurator,[{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){this.popupHistory={};this._removePopup();var enabled=true;if(typeof options===\"string\"){this.options.filter=options}else if(options instanceof Array){this.options.filter=options.join()}else if((typeof options===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(options))===\"object\"){if(options.container!==undefined){this.options.container=options.container}if(options.filter!==undefined){this.options.filter=options.filter}if(options.showButton!==undefined){this.options.showButton=options.showButton}if(options.enabled!==undefined){enabled=options.enabled}}else if(typeof options===\"boolean\"){this.options.filter=true;enabled=options}else if(typeof options===\"function\"){this.options.filter=options;enabled=true}if(this.options.filter===false){enabled=false}this.options.enabled=enabled}this._clean()}},{key:\"setModuleOptions\",value:function setModuleOptions(moduleOptions){this.moduleOptions=moduleOptions;if(this.options.enabled===true){this._clean();if(this.options.container!==undefined){this.container=this.options.container}this._create()}}},{key:\"_create\",value:function _create(){var _this=this;this._clean();this.changedOptions=[];var filter=this.options.filter;var counter=0;var show=false;for(var option in this.configureOptions){if(this.configureOptions.hasOwnProperty(option)){this.allowCreation=false;show=false;if(typeof filter===\"function\"){show=filter(option,[]);show=show||this._handleObject(this.configureOptions[option],[option],true)}else if(filter===true||filter.indexOf(option)!==-1){show=true}if(show!==false){this.allowCreation=true;if(counter>0){this._makeItem([])}this._makeHeader(option);this._handleObject(this.configureOptions[option],[option])}counter++}}if(this.options.showButton===true){var generateButton=document.createElement(\"div\");generateButton.className=\"vis-configuration vis-config-button\";generateButton.innerHTML=\"generate options\";generateButton.onclick=function(){_this._printOptions()};generateButton.onmouseover=function(){generateButton.className=\"vis-configuration vis-config-button hover\"};generateButton.onmouseout=function(){generateButton.className=\"vis-configuration vis-config-button\"};this.optionsContainer=document.createElement(\"div\");this.optionsContainer.className=\"vis-configuration vis-config-option-container\";this.domElements.push(this.optionsContainer);this.domElements.push(generateButton)}this._push()}},{key:\"_push\",value:function _push(){this.wrapper=document.createElement(\"div\");this.wrapper.className=\"vis-configuration-wrapper\";this.container.appendChild(this.wrapper);for(var i=0;i<this.domElements.length;i++){this.wrapper.appendChild(this.domElements[i])}this._showPopupIfNeeded()}},{key:\"_clean\",value:function _clean(){for(var i=0;i<this.domElements.length;i++){this.wrapper.removeChild(this.domElements[i])}if(this.wrapper!==undefined){this.container.removeChild(this.wrapper);this.wrapper=undefined}this.domElements=[];this._removePopup()}},{key:\"_getValue\",value:function _getValue(path){var base=this.moduleOptions;for(var i=0;i<path.length;i++){if(base[path[i]]!==undefined){base=base[path[i]]}else{base=undefined;break}}return base}},{key:\"_makeItem\",value:function _makeItem(path){if(this.allowCreation===true){var item=document.createElement(\"div\");item.className=\"vis-configuration vis-config-item vis-config-s\"+path.length;for(var _len=arguments.length,domElements=Array(_len>1?_len-1:0),_key=1;_key<_len;_key++){domElements[_key-1]=arguments[_key]}domElements.forEach(function(element){item.appendChild(element)});this.domElements.push(item);return this.domElements.length}return 0}},{key:\"_makeHeader\",value:function _makeHeader(name){var div=document.createElement(\"div\");div.className=\"vis-configuration vis-config-header\";div.innerHTML=name;this._makeItem([],div)}},{key:\"_makeLabel\",value:function _makeLabel(name,path){var objectLabel=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var div=document.createElement(\"div\");div.className=\"vis-configuration vis-config-label vis-config-s\"+path.length;if(objectLabel===true){div.innerHTML=\"<i><b>\"+name+\":</b></i>\"}else{div.innerHTML=name+\":\"}return div}},{key:\"_makeDropdown\",value:function _makeDropdown(arr,value,path){var select=document.createElement(\"select\");select.className=\"vis-configuration vis-config-select\";var selectedValue=0;if(value!==undefined){if(arr.indexOf(value)!==-1){selectedValue=arr.indexOf(value)}}for(var i=0;i<arr.length;i++){var option=document.createElement(\"option\");option.value=arr[i];if(i===selectedValue){option.selected=\"selected\"}option.innerHTML=arr[i];select.appendChild(option)}var me=this;select.onchange=function(){me._update(this.value,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,select)}},{key:\"_makeRange\",value:function _makeRange(arr,value,path){var defaultValue=arr[0];var min=arr[1];var max=arr[2];var step=arr[3];var range=document.createElement(\"input\");range.className=\"vis-configuration vis-config-range\";try{range.type=\"range\";range.min=min;range.max=max}catch(err){}range.step=step;var popupString=\"\";var popupValue=0;if(value!==undefined){var factor=1.2;if(value<0&&value*factor<min){range.min=Math.ceil(value*factor);popupValue=range.min;popupString=\"range increased\"}else if(value/factor<min){range.min=Math.ceil(value/factor);popupValue=range.min;popupString=\"range increased\"}if(value*factor>max&&max!==1){range.max=Math.ceil(value*factor);popupValue=range.max;popupString=\"range increased\"}range.value=value}else{range.value=defaultValue}var input=document.createElement(\"input\");input.className=\"vis-configuration vis-config-rangeinput\";input.value=range.value;var me=this;range.onchange=function(){input.value=this.value;me._update(Number(this.value),path)};range.oninput=function(){input.value=this.value};var label=this._makeLabel(path[path.length-1],path);var itemIndex=this._makeItem(path,label,range,input);if(popupString!==\"\"&&this.popupHistory[itemIndex]!==popupValue){this.popupHistory[itemIndex]=popupValue;this._setupPopup(popupString,itemIndex)}}},{key:\"_setupPopup\",value:function _setupPopup(string,index){var _this2=this;if(this.initialized===true&&this.allowCreation===true&&this.popupCounter<this.popupLimit){var div=document.createElement(\"div\");div.id=\"vis-configuration-popup\";div.className=\"vis-configuration-popup\";div.innerHTML=string;div.onclick=function(){_this2._removePopup()};this.popupCounter+=1;this.popupDiv={html:div,index:index}}}},{key:\"_removePopup\",value:function _removePopup(){if(this.popupDiv.html!==undefined){this.popupDiv.html.parentNode.removeChild(this.popupDiv.html);clearTimeout(this.popupDiv.hideTimeout);clearTimeout(this.popupDiv.deleteTimeout);this.popupDiv={}}}},{key:\"_showPopupIfNeeded\",value:function _showPopupIfNeeded(){var _this3=this;if(this.popupDiv.html!==undefined){var correspondingElement=this.domElements[this.popupDiv.index];var rect=correspondingElement.getBoundingClientRect();this.popupDiv.html.style.left=rect.left+\"px\";this.popupDiv.html.style.top=rect.top-30+\"px\";document.body.appendChild(this.popupDiv.html);this.popupDiv.hideTimeout=setTimeout(function(){_this3.popupDiv.html.style.opacity=0},1500);this.popupDiv.deleteTimeout=setTimeout(function(){_this3._removePopup()},1800)}}},{key:\"_makeCheckbox\",value:function _makeCheckbox(defaultValue,value,path){var checkbox=document.createElement(\"input\");checkbox.type=\"checkbox\";checkbox.className=\"vis-configuration vis-config-checkbox\";checkbox.checked=defaultValue;if(value!==undefined){checkbox.checked=value;if(value!==defaultValue){if((typeof defaultValue===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(defaultValue))===\"object\"){if(value!==defaultValue.enabled){this.changedOptions.push({path:path,value:value})}}else{this.changedOptions.push({path:path,value:value})}}}var me=this;checkbox.onchange=function(){me._update(this.checked,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,checkbox)}},{key:\"_makeTextInput\",value:function _makeTextInput(defaultValue,value,path){var checkbox=document.createElement(\"input\");checkbox.type=\"text\";checkbox.className=\"vis-configuration vis-config-text\";checkbox.value=value;if(value!==defaultValue){this.changedOptions.push({path:path,value:value})}var me=this;checkbox.onchange=function(){me._update(this.value,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,checkbox)}},{key:\"_makeColorField\",value:function _makeColorField(arr,value,path){var _this4=this;var defaultColor=arr[1];var div=document.createElement(\"div\");value=value===undefined?defaultColor:value;if(value!==\"none\"){div.className=\"vis-configuration vis-config-colorBlock\";div.style.backgroundColor=value}else{div.className=\"vis-configuration vis-config-colorBlock none\"}value=value===undefined?defaultColor:value;div.onclick=function(){_this4._showColorPicker(value,div,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,div)}},{key:\"_showColorPicker\",value:function _showColorPicker(value,div,path){var _this5=this;div.onclick=function(){};this.colorPicker.insertTo(div);this.colorPicker.show();this.colorPicker.setColor(value);this.colorPicker.setUpdateCallback(function(color){\nvar colorString=\"rgba(\"+color.r+\",\"+color.g+\",\"+color.b+\",\"+color.a+\")\";div.style.backgroundColor=colorString;_this5._update(colorString,path)});this.colorPicker.setCloseCallback(function(){div.onclick=function(){_this5._showColorPicker(value,div,path)}})}},{key:\"_handleObject\",value:function _handleObject(obj){var path=arguments.length>1&&arguments[1]!==undefined?arguments[1]:[];var checkOnly=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var show=false;var filter=this.options.filter;var visibleInSet=false;for(var subObj in obj){if(obj.hasOwnProperty(subObj)){show=true;var item=obj[subObj];var newPath=util.copyAndExtendArray(path,subObj);if(typeof filter===\"function\"){show=filter(subObj,path);if(show===false){if(!(item instanceof Array)&&typeof item!==\"string\"&&typeof item!==\"boolean\"&&item instanceof Object){this.allowCreation=false;show=this._handleObject(item,newPath,true);this.allowCreation=checkOnly===false}}}if(show!==false){visibleInSet=true;var value=this._getValue(newPath);if(item instanceof Array){this._handleArray(item,value,newPath)}else if(typeof item===\"string\"){this._makeTextInput(item,value,newPath)}else if(typeof item===\"boolean\"){this._makeCheckbox(item,value,newPath)}else if(item instanceof Object){var draw=true;if(path.indexOf(\"physics\")!==-1){if(this.moduleOptions.physics.solver!==subObj){draw=false}}if(draw===true){if(item.enabled!==undefined){var enabledPath=util.copyAndExtendArray(newPath,\"enabled\");var enabledValue=this._getValue(enabledPath);if(enabledValue===true){var label=this._makeLabel(subObj,newPath,true);this._makeItem(newPath,label);visibleInSet=this._handleObject(item,newPath)||visibleInSet}else{this._makeCheckbox(item,enabledValue,newPath)}}else{var _label=this._makeLabel(subObj,newPath,true);this._makeItem(newPath,_label);visibleInSet=this._handleObject(item,newPath)||visibleInSet}}}else{console.error(\"dont know how to handle\",item,subObj,newPath)}}}}return visibleInSet}},{key:\"_handleArray\",value:function _handleArray(arr,value,path){if(typeof arr[0]===\"string\"&&arr[0]===\"color\"){this._makeColorField(arr,value,path);if(arr[1]!==value){this.changedOptions.push({path:path,value:value})}}else if(typeof arr[0]===\"string\"){this._makeDropdown(arr,value,path);if(arr[0]!==value){this.changedOptions.push({path:path,value:value})}}else if(typeof arr[0]===\"number\"){this._makeRange(arr,value,path);if(arr[0]!==value){this.changedOptions.push({path:path,value:Number(value)})}}}},{key:\"_update\",value:function _update(value,path){var options=this._constructOptions(value,path);if(this.parent.body&&this.parent.body.emitter&&this.parent.body.emitter.emit){this.parent.body.emitter.emit(\"configChange\",options)}this.initialized=true;this.parent.setOptions(options)}},{key:\"_constructOptions\",value:function _constructOptions(value,path){var optionsObj=arguments.length>2&&arguments[2]!==undefined?arguments[2]:{};var pointer=optionsObj;value=value===\"true\"?true:value;value=value===\"false\"?false:value;for(var i=0;i<path.length;i++){if(path[i]!==\"global\"){if(pointer[path[i]]===undefined){pointer[path[i]]={}}if(i!==path.length-1){pointer=pointer[path[i]]}else{pointer[path[i]]=value}}}return optionsObj}},{key:\"_printOptions\",value:function _printOptions(){var options=this.getOptions();this.optionsContainer.innerHTML=\"<pre>var options = \"+(0,_stringify2[\"default\"])(options,null,2)+\"</pre>\"}},{key:\"getOptions\",value:function getOptions(){var options={};for(var i=0;i<this.changedOptions.length;i++){this._constructOptions(this.changedOptions[i].value,this.changedOptions[i].path,options)}return options}}]);return Configurator}();exports[\"default\"]=Configurator},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var DOMutil=__webpack_require__(14);function Points(groupId,options){}Points.draw=function(dataset,group,framework,offset){offset=offset||0;var callback=getCallback(framework,group);for(var i=0;i<dataset.length;i++){if(!callback){DOMutil.drawPoint(dataset[i].screen_x+offset,dataset[i].screen_y,getGroupTemplate(group),framework.svgElements,framework.svg,dataset[i].label)}else{var callbackResult=callback(dataset[i],group);if(callbackResult===true||(typeof callbackResult===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(callbackResult))===\"object\"){DOMutil.drawPoint(dataset[i].screen_x+offset,dataset[i].screen_y,getGroupTemplate(group,callbackResult),framework.svgElements,framework.svg,dataset[i].label)}}}};Points.drawIcon=function(group,x,y,iconWidth,iconHeight,framework){var fillHeight=iconHeight*.5;var outline=DOMutil.getSVGElement(\"rect\",framework.svgElements,framework.svg);outline.setAttributeNS(null,\"x\",x);outline.setAttributeNS(null,\"y\",y-fillHeight);outline.setAttributeNS(null,\"width\",iconWidth);outline.setAttributeNS(null,\"height\",2*fillHeight);outline.setAttributeNS(null,\"class\",\"vis-outline\");DOMutil.drawPoint(x+.5*iconWidth,y,getGroupTemplate(group),framework.svgElements,framework.svg)};function getGroupTemplate(group,callbackResult){callbackResult=typeof callbackResult===\"undefined\"?{}:callbackResult;return{style:callbackResult.style||group.options.drawPoints.style,styles:callbackResult.styles||group.options.drawPoints.styles,size:callbackResult.size||group.options.drawPoints.size,className:callbackResult.className||group.className}}function getCallback(framework,group){var callback=undefined;if(framework.options&&framework.options.drawPoints&&framework.options.drawPoints.onRender&&typeof framework.options.drawPoints.onRender==\"function\"){callback=framework.options.drawPoints.onRender}if(group.group.options&&group.group.options.drawPoints&&group.group.options.drawPoints.onRender&&typeof group.group.options.drawPoints.onRender==\"function\"){callback=group.group.options.drawPoints.onRender}return callback}module.exports=Points},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CircleImageBase=function(_NodeBase){(0,_inherits3[\"default\"])(CircleImageBase,_NodeBase);function CircleImageBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,CircleImageBase);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(CircleImageBase.__proto__||(0,_getPrototypeOf2[\"default\"])(CircleImageBase)).call(this,options,body,labelModule));_this.labelOffset=0;_this.selected=false;return _this}(0,_createClass3[\"default\"])(CircleImageBase,[{key:\"setOptions\",value:function setOptions(options,imageObj,imageObjAlt){this.options=options;if(!(imageObj===undefined&&imageObjAlt===undefined)){this.setImages(imageObj,imageObjAlt)}}},{key:\"setImages\",value:function setImages(imageObj,imageObjAlt){if(imageObjAlt&&this.selected){this.imageObj=imageObjAlt;this.imageObjAlt=imageObj}else{this.imageObj=imageObj;this.imageObjAlt=imageObjAlt}}},{key:\"switchImages\",value:function switchImages(selected){var selection_changed=selected&&!this.selected||!selected&&this.selected;this.selected=selected;if(this.imageObjAlt!==undefined&&selection_changed){var imageTmp=this.imageObj;this.imageObj=this.imageObjAlt;this.imageObjAlt=imageTmp}}},{key:\"_resizeImage\",value:function _resizeImage(){var width,height;if(this.options.shapeProperties.useImageSize===false){var ratio_width=1;var ratio_height=1;if(this.imageObj.width&&this.imageObj.height){if(this.imageObj.width>this.imageObj.height){ratio_width=this.imageObj.width/this.imageObj.height}else{ratio_height=this.imageObj.height/this.imageObj.width}}width=this.options.size*2*ratio_width;height=this.options.size*2*ratio_height}else{width=this.imageObj.width;height=this.imageObj.height}this.width=width;this.height=height;this.radius=.5*this.width}},{key:\"_drawRawCircle\",value:function _drawRawCircle(ctx,x,y,values){this.initContextForDraw(ctx,values);ctx.circle(x,y,values.size);this.performFill(ctx,values)}},{key:\"_drawImageAtPosition\",value:function _drawImageAtPosition(ctx,values){if(this.imageObj.width!=0){ctx.globalAlpha=1;this.enableShadow(ctx,values);var factor=1;if(this.options.shapeProperties.interpolation===true){factor=this.imageObj.width/this.width/this.body.view.scale}this.imageObj.drawImageAtPosition(ctx,factor,this.left,this.top,this.width,this.height);this.disableShadow(ctx,values)}}},{key:\"_drawImageLabel\",value:function _drawImageLabel(ctx,x,y,selected,hover){var yLabel;var offset=0;if(this.height!==undefined){offset=this.height*.5;var labelDimensions=this.labelModule.getTextSize(ctx,selected,hover);if(labelDimensions.lineCount>=1){offset+=labelDimensions.height/2}}yLabel=y+offset;if(this.options.label){this.labelOffset=offset}this.labelModule.draw(ctx,x,yLabel,selected,hover,\"hanging\")}}]);return CircleImageBase}(_NodeBase3[\"default\"]);exports[\"default\"]=CircleImageBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Label=__webpack_require__(117)[\"default\"];var ComponentUtil=__webpack_require__(48)[\"default\"];var CubicBezierEdge=__webpack_require__(215)[\"default\"];var BezierEdgeDynamic=__webpack_require__(217)[\"default\"];var BezierEdgeStatic=__webpack_require__(218)[\"default\"];var StraightEdge=__webpack_require__(219)[\"default\"];var Edge=function(){function Edge(options,body,globalOptions,defaultOptions){(0,_classCallCheck3[\"default\"])(this,Edge);if(body===undefined){throw new Error(\"No body provided\")}this.options=util.bridgeObject(globalOptions);this.globalOptions=globalOptions;this.defaultOptions=defaultOptions;this.body=body;this.id=undefined;this.fromId=undefined;this.toId=undefined;this.selected=false;this.hover=false;this.labelDirty=true;this.baseWidth=this.options.width;this.baseFontSize=this.options.font.size;this.from=undefined;this.to=undefined;this.edgeType=undefined;this.connected=false;this.labelModule=new Label(this.body,this.options,true);this.setOptions(options)}(0,_createClass3[\"default\"])(Edge,[{key:\"setOptions\",value:function setOptions(options){if(!options){return}Edge.parseOptions(this.options,options,true,this.globalOptions);if(options.id!==undefined){this.id=options.id}if(options.from!==undefined){this.fromId=options.from}if(options.to!==undefined){this.toId=options.to}if(options.title!==undefined){this.title=options.title}if(options.value!==undefined){options.value=parseFloat(options.value)}var pile=[options,this.options,this.defaultOptions];this.chooser=ComponentUtil.choosify(\"edge\",pile);this.updateLabelModule(options);var dataChanged=this.updateEdgeType();this._setInteractionWidths();this.connect();if(options.hidden!==undefined||options.physics!==undefined){dataChanged=true}return dataChanged}},{key:\"getFormattingValues\",value:function getFormattingValues(){var toArrow=this.options.arrows.to===true||this.options.arrows.to.enabled===true;var fromArrow=this.options.arrows.from===true||this.options.arrows.from.enabled===true;var middleArrow=this.options.arrows.middle===true||this.options.arrows.middle.enabled===true;var inheritsColor=this.options.color.inherit;var values={toArrow:toArrow,toArrowScale:this.options.arrows.to.scaleFactor,toArrowType:this.options.arrows.to.type,middleArrow:middleArrow,middleArrowScale:this.options.arrows.middle.scaleFactor,middleArrowType:this.options.arrows.middle.type,fromArrow:fromArrow,fromArrowScale:this.options.arrows.from.scaleFactor,fromArrowType:this.options.arrows.from.type,arrowStrikethrough:this.options.arrowStrikethrough,color:inheritsColor?undefined:this.options.color.color,inheritsColor:inheritsColor,opacity:this.options.color.opacity,hidden:this.options.hidden,length:this.options.length,shadow:this.options.shadow.enabled,shadowColor:this.options.shadow.color,shadowSize:this.options.shadow.size,shadowX:this.options.shadow.x,shadowY:this.options.shadow.y,dashes:this.options.dashes,width:this.options.width};if(this.selected||this.hover){if(this.chooser===true){if(this.selected){var selectedWidth=this.options.selectionWidth;if(typeof selectedWidth===\"function\"){values.width=selectedWidth(values.width)}else if(typeof selectedWidth===\"number\"){values.width+=selectedWidth}values.width=Math.max(values.width,.3/this.body.view.scale);values.color=this.options.color.highlight;values.shadow=this.options.shadow.enabled}else if(this.hover){var hoverWidth=this.options.hoverWidth;if(typeof hoverWidth===\"function\"){values.width=hoverWidth(values.width)}else if(typeof hoverWidth===\"number\"){values.width+=hoverWidth}values.width=Math.max(values.width,.3/this.body.view.scale);values.color=this.options.color.hover;values.shadow=this.options.shadow.enabled}}else if(typeof this.chooser===\"function\"){this.chooser(values,this.options.id,this.selected,this.hover);if(values.color!==undefined){values.inheritsColor=false}if(values.shadow===false){if(values.shadowColor!==this.options.shadow.color||values.shadowSize!==this.options.shadow.size||values.shadowX!==this.options.shadow.x||values.shadowY!==this.options.shadow.y){values.shadow=true}}}}else{values.shadow=this.options.shadow.enabled;values.width=Math.max(values.width,.3/this.body.view.scale)}return values}},{key:\"updateLabelModule\",value:function updateLabelModule(options){var pile=[options,this.options,this.globalOptions,this.defaultOptions];this.labelModule.update(this.options,pile);if(this.labelModule.baseSize!==undefined){this.baseFontSize=this.labelModule.baseSize}}},{key:\"updateEdgeType\",value:function updateEdgeType(){var smooth=this.options.smooth;var dataChanged=false;var changeInType=true;if(this.edgeType!==undefined){if(this.edgeType instanceof BezierEdgeDynamic&&smooth.enabled===true&&smooth.type===\"dynamic\"||this.edgeType instanceof CubicBezierEdge&&smooth.enabled===true&&smooth.type===\"cubicBezier\"||this.edgeType instanceof BezierEdgeStatic&&smooth.enabled===true&&smooth.type!==\"dynamic\"&&smooth.type!==\"cubicBezier\"||this.edgeType instanceof StraightEdge&&smooth.type.enabled===false){changeInType=false}if(changeInType===true){dataChanged=this.cleanup()}}if(changeInType===true){if(smooth.enabled===true){if(smooth.type===\"dynamic\"){dataChanged=true;this.edgeType=new BezierEdgeDynamic(this.options,this.body,this.labelModule)}else if(smooth.type===\"cubicBezier\"){this.edgeType=new CubicBezierEdge(this.options,this.body,this.labelModule)}else{this.edgeType=new BezierEdgeStatic(this.options,this.body,this.labelModule)}}else{this.edgeType=new StraightEdge(this.options,this.body,this.labelModule)}}else{this.edgeType.setOptions(this.options)}return dataChanged}},{key:\"connect\",value:function connect(){this.disconnect();this.from=this.body.nodes[this.fromId]||undefined;this.to=this.body.nodes[this.toId]||undefined;this.connected=this.from!==undefined&&this.to!==undefined;if(this.connected===true){this.from.attachEdge(this);this.to.attachEdge(this)}else{if(this.from){this.from.detachEdge(this)}if(this.to){this.to.detachEdge(this)}}this.edgeType.connect()}},{key:\"disconnect\",value:function disconnect(){if(this.from){this.from.detachEdge(this);this.from=undefined}if(this.to){this.to.detachEdge(this);this.to=undefined}this.connected=false}},{key:\"getTitle\",value:function getTitle(){return this.title}},{key:\"isSelected\",value:function isSelected(){return this.selected}},{key:\"getValue\",value:function getValue(){return this.options.value}},{key:\"setValueRange\",value:function setValueRange(min,max,total){if(this.options.value!==undefined){var scale=this.options.scaling.customScalingFunction(min,max,total,this.options.value);var widthDiff=this.options.scaling.max-this.options.scaling.min;if(this.options.scaling.label.enabled===true){var fontDiff=this.options.scaling.label.max-this.options.scaling.label.min;this.options.font.size=this.options.scaling.label.min+scale*fontDiff}this.options.width=this.options.scaling.min+scale*widthDiff}else{this.options.width=this.baseWidth;this.options.font.size=this.baseFontSize}this._setInteractionWidths();this.updateLabelModule()}},{key:\"_setInteractionWidths\",value:function _setInteractionWidths(){if(typeof this.options.hoverWidth===\"function\"){this.edgeType.hoverWidth=this.options.hoverWidth(this.options.width)}else{this.edgeType.hoverWidth=this.options.hoverWidth+this.options.width}if(typeof this.options.selectionWidth===\"function\"){this.edgeType.selectionWidth=this.options.selectionWidth(this.options.width)}else{this.edgeType.selectionWidth=this.options.selectionWidth+this.options.width}}},{key:\"draw\",value:function draw(ctx){var values=this.getFormattingValues();if(values.hidden){return}var viaNode=this.edgeType.getViaNode();var arrowData={};this.edgeType.fromPoint=this.edgeType.from;this.edgeType.toPoint=this.edgeType.to;if(values.fromArrow){arrowData.from=this.edgeType.getArrowData(ctx,\"from\",viaNode,this.selected,this.hover,values);if(values.arrowStrikethrough===false)this.edgeType.fromPoint=arrowData.from.core}if(values.toArrow){arrowData.to=this.edgeType.getArrowData(ctx,\"to\",viaNode,this.selected,this.hover,values);if(values.arrowStrikethrough===false)this.edgeType.toPoint=arrowData.to.core}if(values.middleArrow){arrowData.middle=this.edgeType.getArrowData(ctx,\"middle\",viaNode,this.selected,this.hover,values)}this.edgeType.drawLine(ctx,values,this.selected,this.hover,viaNode);this.drawArrows(ctx,arrowData,values);this.drawLabel(ctx,viaNode)}},{key:\"drawArrows\",value:function drawArrows(ctx,arrowData,values){if(values.fromArrow){this.edgeType.drawArrowHead(ctx,values,this.selected,this.hover,arrowData.from)}if(values.middleArrow){this.edgeType.drawArrowHead(ctx,values,this.selected,this.hover,arrowData.middle)}if(values.toArrow){this.edgeType.drawArrowHead(ctx,values,this.selected,this.hover,arrowData.to)}}},{key:\"drawLabel\",value:function drawLabel(ctx,viaNode){if(this.options.label!==undefined){var node1=this.from;var node2=this.to;if(this.labelModule.differentState(this.selected,this.hover)){this.labelModule.getTextSize(ctx,this.selected,this.hover)}if(node1.id!=node2.id){this.labelModule.pointToSelf=false;var point=this.edgeType.getPoint(.5,viaNode);ctx.save();var rotationPoint=this._getRotation(ctx);if(rotationPoint.angle!=0){ctx.translate(rotationPoint.x,rotationPoint.y);ctx.rotate(rotationPoint.angle)}this.labelModule.draw(ctx,point.x,point.y,this.selected,this.hover);ctx.restore()}else{this.labelModule.pointToSelf=true;var x,y;var radius=this.options.selfReferenceSize;if(node1.shape.width>node1.shape.height){x=node1.x+node1.shape.width*.5;y=node1.y-radius}else{x=node1.x+radius;y=node1.y-node1.shape.height*.5}point=this._pointOnCircle(x,y,radius,.125);this.labelModule.draw(ctx,point.x,point.y,this.selected,this.hover)}}}},{key:\"getItemsOnPoint\",value:function getItemsOnPoint(point){var ret=[];if(this.labelModule.visible()){var rotationPoint=this._getRotation();if(ComponentUtil.pointInRect(this.labelModule.getSize(),point,rotationPoint)){ret.push({edgeId:this.id,labelId:0})}}var obj={left:point.x,top:point.y};if(this.isOverlappingWith(obj)){ret.push({edgeId:this.id})}return ret}},{key:\"isOverlappingWith\",value:function isOverlappingWith(obj){if(this.connected){var distMax=10;var xFrom=this.from.x;var yFrom=this.from.y;var xTo=this.to.x;var yTo=this.to.y;var xObj=obj.left;var yObj=obj.top;var dist=this.edgeType.getDistanceToEdge(xFrom,yFrom,xTo,yTo,xObj,yObj);return dist<distMax}else{return false}}},{key:\"_getRotation\",value:function _getRotation(ctx){var viaNode=this.edgeType.getViaNode();var point=this.edgeType.getPoint(.5,viaNode);if(ctx!==undefined){this.labelModule.calculateLabelSize(ctx,this.selected,this.hover,point.x,point.y)}var ret={x:point.x,y:this.labelModule.size.yLine,angle:0};if(!this.labelModule.visible()){return ret}if(this.options.font.align===\"horizontal\"){return ret}var dy=this.from.y-this.to.y;var dx=this.from.x-this.to.x;var angle=Math.atan2(dy,dx);if(angle<-1&&dx<0||angle>0&&dx<0){angle+=Math.PI}ret.angle=angle;return ret}},{key:\"_pointOnCircle\",value:function _pointOnCircle(x,y,radius,percentage){var angle=percentage*2*Math.PI;return{x:x+radius*Math.cos(angle),y:y-radius*Math.sin(angle)}}},{key:\"select\",value:function select(){this.selected=true}},{key:\"unselect\",value:function unselect(){this.selected=false}},{key:\"cleanup\",value:function cleanup(){return this.edgeType.cleanup()}},{key:\"remove\",value:function remove(){this.cleanup();this.disconnect();delete this.body.edges[this.id]}},{key:\"endPointsValid\",value:function endPointsValid(){return this.body.nodes[this.fromId]!==undefined&&this.body.nodes[this.toId]!==undefined}}],[{key:\"parseOptions\",value:function parseOptions(parentOptions,newOptions){var allowDeletion=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var globalOptions=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{};var copyFromGlobals=arguments.length>4&&arguments[4]!==undefined?arguments[4]:false;var fields=[\"arrowStrikethrough\",\"id\",\"from\",\"hidden\",\"hoverWidth\",\"labelHighlightBold\",\"length\",\"line\",\"opacity\",\"physics\",\"scaling\",\"selectionWidth\",\"selfReferenceSize\",\"to\",\"title\",\"value\",\"width\",\"font\",\"chosen\",\"widthConstraint\"];util.selectiveDeepExtend(fields,parentOptions,newOptions,allowDeletion);if(ComponentUtil.isValidLabel(newOptions.label)){parentOptions.label=newOptions.label}else{parentOptions.label=undefined}util.mergeOptions(parentOptions,newOptions,\"smooth\",globalOptions);util.mergeOptions(parentOptions,newOptions,\"shadow\",globalOptions);if(newOptions.dashes!==undefined&&newOptions.dashes!==null){parentOptions.dashes=newOptions.dashes}else if(allowDeletion===true&&newOptions.dashes===null){parentOptions.dashes=(0,_create2[\"default\"])(globalOptions.dashes)}if(newOptions.scaling!==undefined&&newOptions.scaling!==null){if(newOptions.scaling.min!==undefined){parentOptions.scaling.min=newOptions.scaling.min}if(newOptions.scaling.max!==undefined){parentOptions.scaling.max=newOptions.scaling.max}util.mergeOptions(parentOptions.scaling,newOptions.scaling,\"label\",globalOptions.scaling)}else if(allowDeletion===true&&newOptions.scaling===null){parentOptions.scaling=(0,_create2[\"default\"])(globalOptions.scaling)}if(newOptions.arrows!==undefined&&newOptions.arrows!==null){if(typeof newOptions.arrows===\"string\"){var arrows=newOptions.arrows.toLowerCase();parentOptions.arrows.to.enabled=arrows.indexOf(\"to\")!=-1;parentOptions.arrows.middle.enabled=arrows.indexOf(\"middle\")!=-1;parentOptions.arrows.from.enabled=arrows.indexOf(\"from\")!=-1}else if((0,_typeof3[\"default\"])(newOptions.arrows)===\"object\"){util.mergeOptions(parentOptions.arrows,newOptions.arrows,\"to\",globalOptions.arrows);util.mergeOptions(parentOptions.arrows,newOptions.arrows,\"middle\",globalOptions.arrows);util.mergeOptions(parentOptions.arrows,newOptions.arrows,\"from\",globalOptions.arrows)}else{throw new Error(\"The arrow newOptions can only be an object or a string. Refer to the documentation. You used:\"+(0,_stringify2[\"default\"])(newOptions.arrows))}}else if(allowDeletion===true&&newOptions.arrows===null){parentOptions.arrows=(0,_create2[\"default\"])(globalOptions.arrows)}if(newOptions.color!==undefined&&newOptions.color!==null){var fromColor=newOptions.color;var toColor=parentOptions.color;if(copyFromGlobals){util.deepExtend(toColor,globalOptions.color,false,allowDeletion)}else{for(var i in toColor){if(toColor.hasOwnProperty(i)){delete toColor[i]}}}if(util.isString(toColor)){toColor.color=toColor;toColor.highlight=toColor;toColor.hover=toColor;toColor.inherit=false;if(fromColor.opacity===undefined){toColor.opacity=1}}else{var colorsDefined=false;if(fromColor.color!==undefined){toColor.color=fromColor.color;colorsDefined=true}if(fromColor.highlight!==undefined){toColor.highlight=fromColor.highlight;colorsDefined=true}if(fromColor.hover!==undefined){toColor.hover=fromColor.hover;colorsDefined=true}if(fromColor.inherit!==undefined){toColor.inherit=fromColor.inherit}if(fromColor.opacity!==undefined){toColor.opacity=Math.min(1,Math.max(0,fromColor.opacity))}if(colorsDefined===true){toColor.inherit=false}else{if(toColor.inherit===undefined){toColor.inherit=\"from\"}}}}else if(allowDeletion===true&&newOptions.color===null){parentOptions.color=util.bridgeObject(globalOptions.color)}if(allowDeletion===true&&newOptions.font===null){parentOptions.font=util.bridgeObject(globalOptions.font)}}}]);return Edge}();exports[\"default\"]=Edge},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _EdgeBase2=__webpack_require__(118);var _EdgeBase3=_interopRequireDefault(_EdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BezierEdgeBase=function(_EdgeBase){(0,_inherits3[\"default\"])(BezierEdgeBase,_EdgeBase);function BezierEdgeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,BezierEdgeBase);return(0,_possibleConstructorReturn3[\"default\"])(this,(BezierEdgeBase.__proto__||(0,_getPrototypeOf2[\"default\"])(BezierEdgeBase)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(BezierEdgeBase,[{key:\"_findBorderPositionBezier\",value:function _findBorderPositionBezier(nearNode,ctx){var viaNode=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this._getViaCoordinates();var maxIterations=10;var iteration=0;var low=0;var high=1;var pos,angle,distanceToBorder,distanceToPoint,difference;var threshold=.2;var node=this.to;var from=false;if(nearNode.id===this.from.id){node=this.from;from=true}while(low<=high&&iteration<maxIterations){var middle=(low+high)*.5;pos=this.getPoint(middle,viaNode);angle=Math.atan2(node.y-pos.y,node.x-pos.x);distanceToBorder=node.distanceToBorder(ctx,angle);distanceToPoint=Math.sqrt(Math.pow(pos.x-node.x,2)+Math.pow(pos.y-node.y,2));difference=distanceToBorder-distanceToPoint;if(Math.abs(difference)<threshold){break}else if(difference<0){if(from===false){low=middle}else{high=middle}}else{if(from===false){high=middle}else{low=middle}}iteration++}pos.t=middle;return pos}},{key:\"_getDistanceToBezierEdge\",value:function _getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,via){var minDistance=1e9;var distance=void 0;var i=void 0,t=void 0,x=void 0,y=void 0;var lastX=x1;var lastY=y1;for(i=1;i<10;i++){t=.1*i;x=Math.pow(1-t,2)*x1+2*t*(1-t)*via.x+Math.pow(t,2)*x2;y=Math.pow(1-t,2)*y1+2*t*(1-t)*via.y+Math.pow(t,2)*y2;if(i>0){distance=this._getDistanceToLine(lastX,lastY,x,y,x3,y3);minDistance=distance<minDistance?distance:minDistance}lastX=x;lastY=y}return minDistance}},{key:\"_bezierCurve\",value:function _bezierCurve(ctx,values,viaNode1,viaNode2){var hasNode1=viaNode1!==undefined&&viaNode1.x!==undefined;var hasNode2=viaNode2!==undefined&&viaNode2.x!==undefined;ctx.beginPath();ctx.moveTo(this.fromPoint.x,this.fromPoint.y);if(hasNode1&&hasNode2){ctx.bezierCurveTo(viaNode1.x,viaNode1.y,viaNode2.x,viaNode2.y,this.toPoint.x,this.toPoint.y)}else if(hasNode1){ctx.quadraticCurveTo(viaNode1.x,viaNode1.y,this.toPoint.x,this.toPoint.y)}else{ctx.lineTo(this.toPoint.x,this.toPoint.y)}this.enableShadow(ctx,values);ctx.stroke();this.disableShadow(ctx,values)}},{key:\"getViaNode\",value:function getViaNode(){return this._getViaCoordinates()}}]);return BezierEdgeBase}(_EdgeBase3[\"default\"]);exports[\"default\"]=BezierEdgeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=function(){function NetworkUtil(){(0,_classCallCheck3[\"default\"])(this,NetworkUtil)}(0,_createClass3[\"default\"])(NetworkUtil,null,[{key:\"getRange\",value:function getRange(allNodes){var specificNodes=arguments.length>1&&arguments[1]!==undefined?arguments[1]:[];var minY=1e9,maxY=-1e9,minX=1e9,maxX=-1e9,node;if(specificNodes.length>0){for(var i=0;i<specificNodes.length;i++){node=allNodes[specificNodes[i]];if(minX>node.shape.boundingBox.left){minX=node.shape.boundingBox.left}if(maxX<node.shape.boundingBox.right){maxX=node.shape.boundingBox.right}if(minY>node.shape.boundingBox.top){minY=node.shape.boundingBox.top}if(maxY<node.shape.boundingBox.bottom){maxY=node.shape.boundingBox.bottom}}}if(minX===1e9&&maxX===-1e9&&minY===1e9&&maxY===-1e9){minY=0,maxY=0,minX=0,maxX=0}return{minX:minX,maxX:maxX,minY:minY,maxY:maxY}}},{key:\"getRangeCore\",value:function getRangeCore(allNodes){var specificNodes=arguments.length>1&&arguments[1]!==undefined?arguments[1]:[];var minY=1e9,maxY=-1e9,minX=1e9,maxX=-1e9,node;if(specificNodes.length>0){for(var i=0;i<specificNodes.length;i++){node=allNodes[specificNodes[i]];if(minX>node.x){minX=node.x}if(maxX<node.x){maxX=node.x}if(minY>node.y){minY=node.y}if(maxY<node.y){maxY=node.y}}}if(minX===1e9&&maxX===-1e9&&minY===1e9&&maxY===-1e9){minY=0,maxY=0,minX=0,maxX=0}return{minX:minX,maxX:maxX,minY:minY,maxY:maxY}}},{key:\"findCenter\",value:function findCenter(range){return{x:.5*(range.maxX+range.minX),y:.5*(range.maxY+range.minY)}}},{key:\"cloneOptions\",value:function cloneOptions(item,type){var clonedOptions={};if(type===undefined||type===\"node\"){util.deepExtend(clonedOptions,item.options,true);clonedOptions.x=item.x;clonedOptions.y=item.y;clonedOptions.amountOfConnections=item.edges.length}else{util.deepExtend(clonedOptions,item.options,true)}return clonedOptions}}]);return NetworkUtil}();exports[\"default\"]=NetworkUtil},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(124),__esModule:true}},function(module,exports,__webpack_require__){var cof=__webpack_require__(50);module.exports=Object(\"z\").propertyIsEnumerable(0)?Object:function(it){return cof(it)==\"String\"?it.split(\"\"):Object(it)}},function(module,exports,__webpack_require__){\"use strict\";var LIBRARY=__webpack_require__(52);var $export=__webpack_require__(17);var redefine=__webpack_require__(83);var hide=__webpack_require__(26);var has=__webpack_require__(22);var Iterators=__webpack_require__(31);var $iterCreate=__webpack_require__(129);var setToStringTag=__webpack_require__(59);var getPrototypeOf=__webpack_require__(85);var ITERATOR=__webpack_require__(13)(\"iterator\");var BUGGY=!([].keys&&\"next\"in[].keys())\n;var FF_ITERATOR=\"@@iterator\";var KEYS=\"keys\";var VALUES=\"values\";var returnThis=function(){return this};module.exports=function(Base,NAME,Constructor,next,DEFAULT,IS_SET,FORCED){$iterCreate(Constructor,NAME,next);var getMethod=function(kind){if(!BUGGY&&kind in proto)return proto[kind];switch(kind){case KEYS:return function keys(){return new Constructor(this,kind)};case VALUES:return function values(){return new Constructor(this,kind)}}return function entries(){return new Constructor(this,kind)}};var TAG=NAME+\" Iterator\";var DEF_VALUES=DEFAULT==VALUES;var VALUES_BUG=false;var proto=Base.prototype;var $native=proto[ITERATOR]||proto[FF_ITERATOR]||DEFAULT&&proto[DEFAULT];var $default=$native||getMethod(DEFAULT);var $entries=DEFAULT?!DEF_VALUES?$default:getMethod(\"entries\"):undefined;var $anyNative=NAME==\"Array\"?proto.entries||$native:$native;var methods,key,IteratorPrototype;if($anyNative){IteratorPrototype=getPrototypeOf($anyNative.call(new Base));if(IteratorPrototype!==Object.prototype&&IteratorPrototype.next){setToStringTag(IteratorPrototype,TAG,true);if(!LIBRARY&&!has(IteratorPrototype,ITERATOR))hide(IteratorPrototype,ITERATOR,returnThis)}}if(DEF_VALUES&&$native&&$native.name!==VALUES){VALUES_BUG=true;$default=function values(){return $native.call(this)}}if((!LIBRARY||FORCED)&&(BUGGY||VALUES_BUG||!proto[ITERATOR])){hide(proto,ITERATOR,$default)}Iterators[NAME]=$default;Iterators[TAG]=returnThis;if(DEFAULT){methods={values:DEF_VALUES?$default:getMethod(VALUES),keys:IS_SET?$default:getMethod(KEYS),entries:$entries};if(FORCED)for(key in methods){if(!(key in proto))redefine(proto,key,methods[key])}else $export($export.P+$export.F*(BUGGY||VALUES_BUG),NAME,methods)}return methods}},function(module,exports,__webpack_require__){var aFunction=__webpack_require__(128);module.exports=function(fn,that,length){aFunction(fn);if(that===undefined)return fn;switch(length){case 1:return function(a){return fn.call(that,a)};case 2:return function(a,b){return fn.call(that,a,b)};case 3:return function(a,b,c){return fn.call(that,a,b,c)}}return function(){return fn.apply(that,arguments)}}},function(module,exports,__webpack_require__){module.exports=!__webpack_require__(21)&&!__webpack_require__(28)(function(){return Object.defineProperty(__webpack_require__(82)(\"div\"),\"a\",{get:function(){return 7}}).a!=7})},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);var document=__webpack_require__(18).document;var is=isObject(document)&&isObject(document.createElement);module.exports=function(it){return is?document.createElement(it):{}}},function(module,exports,__webpack_require__){module.exports=__webpack_require__(26)},function(module,exports,__webpack_require__){var has=__webpack_require__(22);var toIObject=__webpack_require__(25);var arrayIndexOf=__webpack_require__(131)(false);var IE_PROTO=__webpack_require__(56)(\"IE_PROTO\");module.exports=function(object,names){var O=toIObject(object);var i=0;var result=[];var key;for(key in O)if(key!=IE_PROTO)has(O,key)&&result.push(key);while(names.length>i)if(has(O,key=names[i++])){~arrayIndexOf(result,key)||result.push(key)}return result}},function(module,exports,__webpack_require__){var has=__webpack_require__(22);var toObject=__webpack_require__(41);var IE_PROTO=__webpack_require__(56)(\"IE_PROTO\");var ObjectProto=Object.prototype;module.exports=Object.getPrototypeOf||function(O){O=toObject(O);if(has(O,IE_PROTO))return O[IE_PROTO];if(typeof O.constructor==\"function\"&&O instanceof O.constructor){return O.constructor.prototype}return O instanceof Object?ObjectProto:null}},function(module,exports,__webpack_require__){var cof=__webpack_require__(50);var TAG=__webpack_require__(13)(\"toStringTag\");var ARG=cof(function(){return arguments}())==\"Arguments\";var tryGet=function(it,key){try{return it[key]}catch(e){}};module.exports=function(it){var O,T,B;return it===undefined?\"Undefined\":it===null?\"Null\":typeof(T=tryGet(O=Object(it),TAG))==\"string\"?T:ARG?cof(O):(B=cof(O))==\"Object\"&&typeof O.callee==\"function\"?\"Arguments\":B}},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);var core=__webpack_require__(7);var fails=__webpack_require__(28);module.exports=function(KEY,exec){var fn=(core.Object||{})[KEY]||Object[KEY];var exp={};exp[KEY]=exec(fn);$export($export.S+$export.F*fails(function(){fn(1)}),\"Object\",exp)}},function(module,exports,__webpack_require__){var $keys=__webpack_require__(84);var hiddenKeys=__webpack_require__(58).concat(\"length\",\"prototype\");exports.f=Object.getOwnPropertyNames||function getOwnPropertyNames(O){return $keys(O,hiddenKeys)}},function(module,exports,__webpack_require__){var pIE=__webpack_require__(42);var createDesc=__webpack_require__(39);var toIObject=__webpack_require__(25);var toPrimitive=__webpack_require__(53);var has=__webpack_require__(22);var IE8_DOM_DEFINE=__webpack_require__(81);var gOPD=Object.getOwnPropertyDescriptor;exports.f=__webpack_require__(21)?gOPD:function getOwnPropertyDescriptor(O,P){O=toIObject(O);P=toPrimitive(P,true);if(IE8_DOM_DEFINE)try{return gOPD(O,P)}catch(e){}if(has(O,P))return createDesc(!pIE.f.call(O,P),O[P])}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(162),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";function Point2d(x,y){this.x=x!==undefined?x:0;this.y=y!==undefined?y:0}module.exports=Point2d},function(module,exports,__webpack_require__){\"use strict\";var util=__webpack_require__(2);function Slider(container,options){if(container===undefined){throw new Error(\"No container element defined\")}this.container=container;this.visible=options&&options.visible!=undefined?options.visible:true;if(this.visible){this.frame=document.createElement(\"DIV\");this.frame.style.width=\"100%\";this.frame.style.position=\"relative\";this.container.appendChild(this.frame);this.frame.prev=document.createElement(\"INPUT\");this.frame.prev.type=\"BUTTON\";this.frame.prev.value=\"Prev\";this.frame.appendChild(this.frame.prev);this.frame.play=document.createElement(\"INPUT\");this.frame.play.type=\"BUTTON\";this.frame.play.value=\"Play\";this.frame.appendChild(this.frame.play);this.frame.next=document.createElement(\"INPUT\");this.frame.next.type=\"BUTTON\";this.frame.next.value=\"Next\";this.frame.appendChild(this.frame.next);this.frame.bar=document.createElement(\"INPUT\");this.frame.bar.type=\"BUTTON\";this.frame.bar.style.position=\"absolute\";this.frame.bar.style.border=\"1px solid red\";this.frame.bar.style.width=\"100px\";this.frame.bar.style.height=\"6px\";this.frame.bar.style.borderRadius=\"2px\";this.frame.bar.style.MozBorderRadius=\"2px\";this.frame.bar.style.border=\"1px solid #7F7F7F\";this.frame.bar.style.backgroundColor=\"#E5E5E5\";this.frame.appendChild(this.frame.bar);this.frame.slide=document.createElement(\"INPUT\");this.frame.slide.type=\"BUTTON\";this.frame.slide.style.margin=\"0px\";this.frame.slide.value=\" \";this.frame.slide.style.position=\"relative\";this.frame.slide.style.left=\"-100px\";this.frame.appendChild(this.frame.slide);var me=this;this.frame.slide.onmousedown=function(event){me._onMouseDown(event)};this.frame.prev.onclick=function(event){me.prev(event)};this.frame.play.onclick=function(event){me.togglePlay(event)};this.frame.next.onclick=function(event){me.next(event)}}this.onChangeCallback=undefined;this.values=[];this.index=undefined;this.playTimeout=undefined;this.playInterval=1e3;this.playLoop=true}Slider.prototype.prev=function(){var index=this.getIndex();if(index>0){index--;this.setIndex(index)}};Slider.prototype.next=function(){var index=this.getIndex();if(index<this.values.length-1){index++;this.setIndex(index)}};Slider.prototype.playNext=function(){var start=new Date;var index=this.getIndex();if(index<this.values.length-1){index++;this.setIndex(index)}else if(this.playLoop){index=0;this.setIndex(index)}var end=new Date;var diff=end-start;var interval=Math.max(this.playInterval-diff,0);var me=this;this.playTimeout=setTimeout(function(){me.playNext()},interval)};Slider.prototype.togglePlay=function(){if(this.playTimeout===undefined){this.play()}else{this.stop()}};Slider.prototype.play=function(){if(this.playTimeout)return;this.playNext();if(this.frame){this.frame.play.value=\"Stop\"}};Slider.prototype.stop=function(){clearInterval(this.playTimeout);this.playTimeout=undefined;if(this.frame){this.frame.play.value=\"Play\"}};Slider.prototype.setOnChangeCallback=function(callback){this.onChangeCallback=callback};Slider.prototype.setPlayInterval=function(interval){this.playInterval=interval};Slider.prototype.getPlayInterval=function(){return this.playInterval};Slider.prototype.setPlayLoop=function(doLoop){this.playLoop=doLoop};Slider.prototype.onChange=function(){if(this.onChangeCallback!==undefined){this.onChangeCallback()}};Slider.prototype.redraw=function(){if(this.frame){this.frame.bar.style.top=this.frame.clientHeight/2-this.frame.bar.offsetHeight/2+\"px\";this.frame.bar.style.width=this.frame.clientWidth-this.frame.prev.clientWidth-this.frame.play.clientWidth-this.frame.next.clientWidth-30+\"px\";var left=this.indexToLeft(this.index);this.frame.slide.style.left=left+\"px\"}};Slider.prototype.setValues=function(values){this.values=values;if(this.values.length>0)this.setIndex(0);else this.index=undefined};Slider.prototype.setIndex=function(index){if(index<this.values.length){this.index=index;this.redraw();this.onChange()}else{throw new Error(\"Index out of range\")}};Slider.prototype.getIndex=function(){return this.index};Slider.prototype.get=function(){return this.values[this.index]};Slider.prototype._onMouseDown=function(event){var leftButtonDown=event.which?event.which===1:event.button===1;if(!leftButtonDown)return;this.startClientX=event.clientX;this.startSlideX=parseFloat(this.frame.slide.style.left);this.frame.style.cursor=\"move\";var me=this;this.onmousemove=function(event){me._onMouseMove(event)};this.onmouseup=function(event){me._onMouseUp(event)};util.addEventListener(document,\"mousemove\",this.onmousemove);util.addEventListener(document,\"mouseup\",this.onmouseup);util.preventDefault(event)};Slider.prototype.leftToIndex=function(left){var width=parseFloat(this.frame.bar.style.width)-this.frame.slide.clientWidth-10;var x=left-3;var index=Math.round(x/width*(this.values.length-1));if(index<0)index=0;if(index>this.values.length-1)index=this.values.length-1;return index};Slider.prototype.indexToLeft=function(index){var width=parseFloat(this.frame.bar.style.width)-this.frame.slide.clientWidth-10;var x=index/(this.values.length-1)*width;var left=x+3;return left};Slider.prototype._onMouseMove=function(event){var diff=event.clientX-this.startClientX;var x=this.startSlideX+diff;var index=this.leftToIndex(x);this.setIndex(index);util.preventDefault()};Slider.prototype._onMouseUp=function(event){this.frame.style.cursor=\"auto\";util.removeEventListener(document,\"mousemove\",this.onmousemove);util.removeEventListener(document,\"mouseup\",this.onmouseup);util.preventDefault()};module.exports=Slider},function(module,exports,__webpack_require__){\"use strict\";function StepNumber(start,end,step,prettyStep){this._start=0;this._end=0;this._step=1;this.prettyStep=true;this.precision=5;this._current=0;this.setRange(start,end,step,prettyStep)}StepNumber.prototype.isNumeric=function(n){return!isNaN(parseFloat(n))&&isFinite(n)};StepNumber.prototype.setRange=function(start,end,step,prettyStep){if(!this.isNumeric(start)){throw new Error(\"Parameter 'start' is not numeric; value: \"+start)}if(!this.isNumeric(end)){throw new Error(\"Parameter 'end' is not numeric; value: \"+start)}if(!this.isNumeric(step)){throw new Error(\"Parameter 'step' is not numeric; value: \"+start)}this._start=start?start:0;this._end=end?end:0;this.setStep(step,prettyStep)};StepNumber.prototype.setStep=function(step,prettyStep){if(step===undefined||step<=0)return;if(prettyStep!==undefined)this.prettyStep=prettyStep;if(this.prettyStep===true)this._step=StepNumber.calculatePrettyStep(step);else this._step=step};StepNumber.calculatePrettyStep=function(step){var log10=function log10(x){return Math.log(x)/Math.LN10};var step1=Math.pow(10,Math.round(log10(step))),step2=2*Math.pow(10,Math.round(log10(step/2))),step5=5*Math.pow(10,Math.round(log10(step/5)));var prettyStep=step1;if(Math.abs(step2-step)<=Math.abs(prettyStep-step))prettyStep=step2;if(Math.abs(step5-step)<=Math.abs(prettyStep-step))prettyStep=step5;if(prettyStep<=0){prettyStep=1}return prettyStep};StepNumber.prototype.getCurrent=function(){return parseFloat(this._current.toPrecision(this.precision))};StepNumber.prototype.getStep=function(){return this._step};StepNumber.prototype.start=function(checkFirst){if(checkFirst===undefined){checkFirst=false}this._current=this._start-this._start%this._step;if(checkFirst){if(this.getCurrent()<this._start){this.next()}}};StepNumber.prototype.next=function(){this._current+=this._step};StepNumber.prototype.end=function(){return this._current>this._end};module.exports=StepNumber},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Camera=__webpack_require__(95);var Point3d=__webpack_require__(34);var STYLE={BAR:0,BARCOLOR:1,BARSIZE:2,DOT:3,DOTLINE:4,DOTCOLOR:5,DOTSIZE:6,GRID:7,LINE:8,SURFACE:9};var STYLENAME={dot:STYLE.DOT,\"dot-line\":STYLE.DOTLINE,\"dot-color\":STYLE.DOTCOLOR,\"dot-size\":STYLE.DOTSIZE,line:STYLE.LINE,grid:STYLE.GRID,surface:STYLE.SURFACE,bar:STYLE.BAR,\"bar-color\":STYLE.BARCOLOR,\"bar-size\":STYLE.BARSIZE};var OPTIONKEYS=[\"width\",\"height\",\"filterLabel\",\"legendLabel\",\"xLabel\",\"yLabel\",\"zLabel\",\"xValueLabel\",\"yValueLabel\",\"zValueLabel\",\"showXAxis\",\"showYAxis\",\"showZAxis\",\"showGrid\",\"showPerspective\",\"showShadow\",\"keepAspectRatio\",\"verticalRatio\",\"dotSizeRatio\",\"dotSizeMinFraction\",\"dotSizeMaxFraction\",\"showAnimationControls\",\"animationInterval\",\"animationPreload\",\"animationAutoStart\",\"axisColor\",\"gridColor\",\"xCenter\",\"yCenter\"];var PREFIXEDOPTIONKEYS=[\"xBarWidth\",\"yBarWidth\",\"valueMin\",\"valueMax\",\"xMin\",\"xMax\",\"xStep\",\"yMin\",\"yMax\",\"yStep\",\"zMin\",\"zMax\",\"zStep\"];var DEFAULTS=undefined;function isEmpty(obj){for(var prop in obj){if(obj.hasOwnProperty(prop))return false}return true}function capitalize(str){if(str===undefined||str===\"\"||typeof str!=\"string\"){return str}return str.charAt(0).toUpperCase()+str.slice(1)}function prefixFieldName(prefix,fieldName){if(prefix===undefined||prefix===\"\"){return fieldName}return prefix+capitalize(fieldName)}function forceCopy(src,dst,fields,prefix){var srcKey;var dstKey;for(var i=0;i<fields.length;++i){srcKey=fields[i];dstKey=prefixFieldName(prefix,srcKey);dst[dstKey]=src[srcKey]}}function safeCopy(src,dst,fields,prefix){var srcKey;var dstKey;for(var i=0;i<fields.length;++i){srcKey=fields[i];if(src[srcKey]===undefined)continue;dstKey=prefixFieldName(prefix,srcKey);dst[dstKey]=src[srcKey]}}function setDefaults(src,dst){if(src===undefined||isEmpty(src)){throw new Error(\"No DEFAULTS passed\")}if(dst===undefined){throw new Error(\"No dst passed\")}DEFAULTS=src;forceCopy(src,dst,OPTIONKEYS);forceCopy(src,dst,PREFIXEDOPTIONKEYS,\"default\");setSpecialSettings(src,dst);dst.margin=10;dst.showGrayBottom=false;dst.showTooltip=false;dst.onclick_callback=null;dst.eye=new Point3d(0,0,-1)}function setOptions(options,dst){if(options===undefined){return}if(dst===undefined){throw new Error(\"No dst passed\")}if(DEFAULTS===undefined||isEmpty(DEFAULTS)){throw new Error(\"DEFAULTS not set for module Settings\")}safeCopy(options,dst,OPTIONKEYS);safeCopy(options,dst,PREFIXEDOPTIONKEYS,\"default\");setSpecialSettings(options,dst)}function setSpecialSettings(src,dst){if(src.backgroundColor!==undefined){setBackgroundColor(src.backgroundColor,dst)}setDataColor(src.dataColor,dst);setStyle(src.style,dst);setShowLegend(src.showLegend,dst);setCameraPosition(src.cameraPosition,dst);if(src.tooltip!==undefined){dst.showTooltip=src.tooltip}if(src.onclick!=undefined){dst.onclick_callback=src.onclick}if(src.tooltipStyle!==undefined){util.selectiveDeepExtend([\"tooltipStyle\"],dst,src)}}function setShowLegend(showLegend,dst){if(showLegend===undefined){var isAutoByDefault=DEFAULTS.showLegend===undefined;if(isAutoByDefault){var isLegendGraphStyle=dst.style===STYLE.DOTCOLOR||dst.style===STYLE.DOTSIZE;dst.showLegend=isLegendGraphStyle}else{}}else{dst.showLegend=showLegend}}function getStyleNumberByName(styleName){var number=STYLENAME[styleName];if(number===undefined){return-1}return number}function checkStyleNumber(style){var valid=false;for(var n in STYLE){if(STYLE[n]===style){valid=true;break}}return valid}function setStyle(style,dst){if(style===undefined){return}var styleNumber;if(typeof style===\"string\"){styleNumber=getStyleNumberByName(style);if(styleNumber===-1){throw new Error(\"Style '\"+style+\"' is invalid\")}}else{if(!checkStyleNumber(style)){throw new Error(\"Style '\"+style+\"' is invalid\")}styleNumber=style}dst.style=styleNumber}function setBackgroundColor(backgroundColor,dst){var fill=\"white\";var stroke=\"gray\";var strokeWidth=1;if(typeof backgroundColor===\"string\"){fill=backgroundColor;stroke=\"none\";strokeWidth=0}else if((typeof backgroundColor===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(backgroundColor))===\"object\"){if(backgroundColor.fill!==undefined)fill=backgroundColor.fill;if(backgroundColor.stroke!==undefined)stroke=backgroundColor.stroke;if(backgroundColor.strokeWidth!==undefined)strokeWidth=backgroundColor.strokeWidth}else{throw new Error(\"Unsupported type of backgroundColor\")}dst.frame.style.backgroundColor=fill;dst.frame.style.borderColor=stroke;dst.frame.style.borderWidth=strokeWidth+\"px\";dst.frame.style.borderStyle=\"solid\"}function setDataColor(dataColor,dst){if(dataColor===undefined){return}if(dst.dataColor===undefined){dst.dataColor={}}if(typeof dataColor===\"string\"){dst.dataColor.fill=dataColor;dst.dataColor.stroke=dataColor}else{if(dataColor.fill){dst.dataColor.fill=dataColor.fill}if(dataColor.stroke){dst.dataColor.stroke=dataColor.stroke}if(dataColor.strokeWidth!==undefined){dst.dataColor.strokeWidth=dataColor.strokeWidth}}}function setCameraPosition(cameraPosition,dst){var camPos=cameraPosition;if(camPos===undefined){return}if(dst.camera===undefined){dst.camera=new Camera}dst.camera.setArmRotation(camPos.horizontal,camPos.vertical);dst.camera.setArmLength(camPos.distance)}module.exports.STYLE=STYLE;module.exports.setDefaults=setDefaults;module.exports.setOptions=setOptions;module.exports.setCameraPosition=setCameraPosition},function(module,exports,__webpack_require__){\"use strict\";var _sign=__webpack_require__(165);var _sign2=_interopRequireDefault(_sign);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Point3d=__webpack_require__(34);function Camera(){this.armLocation=new Point3d;this.armRotation={};this.armRotation.horizontal=0;this.armRotation.vertical=0;this.armLength=1.7;this.cameraOffset=new Point3d;this.offsetMultiplier=.6;this.cameraLocation=new Point3d;this.cameraRotation=new Point3d(.5*Math.PI,0,0);this.calculateCameraOrientation()}Camera.prototype.setOffset=function(x,y){var abs=Math.abs,sign=_sign2[\"default\"],mul=this.offsetMultiplier,border=this.armLength*mul;if(abs(x)>border){x=sign(x)*border}if(abs(y)>border){y=sign(y)*border}this.cameraOffset.x=x;this.cameraOffset.y=y;this.calculateCameraOrientation()};Camera.prototype.getOffset=function(){return this.cameraOffset};Camera.prototype.setArmLocation=function(x,y,z){this.armLocation.x=x;this.armLocation.y=y;this.armLocation.z=z;this.calculateCameraOrientation()};Camera.prototype.setArmRotation=function(horizontal,vertical){if(horizontal!==undefined){this.armRotation.horizontal=horizontal}if(vertical!==undefined){this.armRotation.vertical=vertical;if(this.armRotation.vertical<0)this.armRotation.vertical=0;if(this.armRotation.vertical>.5*Math.PI)this.armRotation.vertical=.5*Math.PI}if(horizontal!==undefined||vertical!==undefined){this.calculateCameraOrientation()}};Camera.prototype.getArmRotation=function(){var rot={};rot.horizontal=this.armRotation.horizontal;rot.vertical=this.armRotation.vertical;return rot};Camera.prototype.setArmLength=function(length){if(length===undefined)return;this.armLength=length;if(this.armLength<.71)this.armLength=.71;if(this.armLength>5)this.armLength=5;this.setOffset(this.cameraOffset.x,this.cameraOffset.y);this.calculateCameraOrientation()};Camera.prototype.getArmLength=function(){return this.armLength};Camera.prototype.getCameraLocation=function(){return this.cameraLocation};Camera.prototype.getCameraRotation=function(){return this.cameraRotation};Camera.prototype.calculateCameraOrientation=function(){this.cameraLocation.x=this.armLocation.x-this.armLength*Math.sin(this.armRotation.horizontal)*Math.cos(this.armRotation.vertical);this.cameraLocation.y=this.armLocation.y-this.armLength*Math.cos(this.armRotation.horizontal)*Math.cos(this.armRotation.vertical);this.cameraLocation.z=this.armLocation.z+this.armLength*Math.sin(this.armRotation.vertical);this.cameraRotation.x=Math.PI/2-this.armRotation.vertical;this.cameraRotation.y=0;this.cameraRotation.z=-this.armRotation.horizontal;var xa=this.cameraRotation.x;var za=this.cameraRotation.z;var dx=this.cameraOffset.x;var dy=this.cameraOffset.y;var sin=Math.sin,cos=Math.cos;this.cameraLocation.x=this.cameraLocation.x+dx*cos(za)+dy*-sin(za)*cos(xa);this.cameraLocation.y=this.cameraLocation.y+dx*sin(za)+dy*cos(za)*cos(xa);this.cameraLocation.z=this.cameraLocation.z+dy*sin(xa)};module.exports=Camera},function(module,exports,__webpack_require__){\"use strict\";var DataView=__webpack_require__(12);function Filter(dataGroup,column,graph){this.dataGroup=dataGroup;this.column=column;this.graph=graph;this.index=undefined;this.value=undefined;this.values=dataGroup.getDistinctValues(this.column);if(this.values.length>0){this.selectValue(0)}this.dataPoints=[];this.loaded=false;this.onLoadCallback=undefined;if(graph.animationPreload){this.loaded=false;this.loadInBackground()}else{this.loaded=true}}Filter.prototype.isLoaded=function(){return this.loaded};Filter.prototype.getLoadedProgress=function(){var len=this.values.length;var i=0;while(this.dataPoints[i]){i++}return Math.round(i/len*100)};Filter.prototype.getLabel=function(){return this.graph.filterLabel};Filter.prototype.getColumn=function(){return this.column};Filter.prototype.getSelectedValue=function(){if(this.index===undefined)return undefined;return this.values[this.index]};Filter.prototype.getValues=function(){return this.values};Filter.prototype.getValue=function(index){if(index>=this.values.length)throw new Error(\"Index out of range\");return this.values[index]};Filter.prototype._getDataPoints=function(index){if(index===undefined)index=this.index;if(index===undefined)return[];var dataPoints;if(this.dataPoints[index]){dataPoints=this.dataPoints[index]}else{var f={};f.column=this.column;f.value=this.values[index];var dataView=new DataView(this.dataGroup.getDataSet(),{filter:function filter(item){return item[f.column]==f.value}}).get();dataPoints=this.dataGroup._getDataPoints(dataView);this.dataPoints[index]=dataPoints}return dataPoints};Filter.prototype.setOnLoadCallback=function(callback){this.onLoadCallback=callback};Filter.prototype.selectValue=function(index){if(index>=this.values.length)throw new Error(\"Index out of range\");this.index=index;this.value=this.values[index]};Filter.prototype.loadInBackground=function(index){if(index===undefined)index=0;var frame=this.graph.frame;if(index<this.values.length){if(frame.progress===undefined){frame.progress=document.createElement(\"DIV\");frame.progress.style.position=\"absolute\";frame.progress.style.color=\"gray\";frame.appendChild(frame.progress)}var progress=this.getLoadedProgress();frame.progress.innerHTML=\"Loading animation... \"+progress+\"%\";frame.progress.style.bottom=60+\"px\";frame.progress.style.left=10+\"px\";var me=this;setTimeout(function(){me.loadInBackground(index+1)},10);this.loaded=false}else{this.loaded=true;if(frame.progress!==undefined){frame.removeChild(frame.progress);frame.progress=undefined}if(this.onLoadCallback)this.onLoadCallback()}};module.exports=Filter},function(module,exports,__webpack_require__){\"use strict\";var keycharm=__webpack_require__(35);var Emitter=__webpack_require__(44);var Hammer=__webpack_require__(10);var util=__webpack_require__(2);function Activator(container){this.active=false;this.dom={container:container};this.dom.overlay=document.createElement(\"div\");this.dom.overlay.className=\"vis-overlay\";this.dom.container.appendChild(this.dom.overlay);this.hammer=Hammer(this.dom.overlay);this.hammer.on(\"tap\",this._onTapOverlay.bind(this));var me=this;var events=[\"tap\",\"doubletap\",\"press\",\"pinch\",\"pan\",\"panstart\",\"panmove\",\"panend\"];events.forEach(function(event){me.hammer.on(event,function(event){event.stopPropagation()})});if(document&&document.body){this.onClick=function(event){if(!_hasParent(event.target,container)){me.deactivate()}};document.body.addEventListener(\"click\",this.onClick)}if(this.keycharm!==undefined){this.keycharm.destroy()}this.keycharm=keycharm();this.escListener=this.deactivate.bind(this)}Emitter(Activator.prototype);Activator.current=null;Activator.prototype.destroy=function(){this.deactivate();this.dom.overlay.parentNode.removeChild(this.dom.overlay);if(this.onClick){document.body.removeEventListener(\"click\",this.onClick)}this.hammer.destroy();this.hammer=null};Activator.prototype.activate=function(){if(Activator.current){Activator.current.deactivate()}Activator.current=this;this.active=true;this.dom.overlay.style.display=\"none\";util.addClassName(this.dom.container,\"vis-active\");this.emit(\"change\");this.emit(\"activate\");this.keycharm.bind(\"esc\",this.escListener)};Activator.prototype.deactivate=function(){this.active=false;this.dom.overlay.style.display=\"\";util.removeClassName(this.dom.container,\"vis-active\");this.keycharm.unbind(\"esc\",this.escListener);this.emit(\"change\");this.emit(\"deactivate\")};Activator.prototype._onTapOverlay=function(event){this.activate();event.stopPropagation()};function _hasParent(element,parent){while(element){if(element===parent){return true}element=element.parentNode}return false}module.exports=Activator},function(module,exports,__webpack_require__){\"use strict\";exports[\"en\"]={current:\"current\",time:\"time\"};exports[\"en_EN\"]=exports[\"en\"];exports[\"en_US\"]=exports[\"en\"];exports[\"it\"]={current:\"attuale\",time:\"tempo\"};exports[\"it_IT\"]=exports[\"it\"];exports[\"it_CH\"]=exports[\"it\"];exports[\"nl\"]={current:\"huidige\",time:\"tijd\"};exports[\"nl_NL\"]=exports[\"nl\"];exports[\"nl_BE\"]=exports[\"nl\"];exports[\"de\"]={current:\"Aktuelle\",time:\"Zeit\"};exports[\"de_DE\"]=exports[\"de\"];exports[\"fr\"]={current:\"actuel\",time:\"heure\"};exports[\"fr_FR\"]=exports[\"fr\"];exports[\"fr_CA\"]=exports[\"fr\"];exports[\"fr_BE\"]=exports[\"fr\"];exports[\"es\"]={current:\"corriente\",time:\"hora\"};exports[\"es_ES\"]=exports[\"es\"]},function(module,exports,__webpack_require__){\"use strict\";var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var TimeStep=__webpack_require__(66);var Component=__webpack_require__(16);var Group=__webpack_require__(68);var BackgroundGroup=__webpack_require__(69);var BoxItem=__webpack_require__(101);var PointItem=__webpack_require__(102);var RangeItem=__webpack_require__(70);var BackgroundItem=__webpack_require__(103);var Popup=__webpack_require__(104)[\"default\"];var UNGROUPED=\"__ungrouped__\";var BACKGROUND=\"__background__\";function ItemSet(body,options){this.body=body;this.defaultOptions={type:null,orientation:{item:\"bottom\"},align:\"auto\",stack:true,stackSubgroups:true,groupOrderSwap:function groupOrderSwap(fromGroup,toGroup,groups){var targetOrder=toGroup.order;toGroup.order=fromGroup.order;fromGroup.order=targetOrder},groupOrder:\"order\",selectable:true,multiselect:false,itemsAlwaysDraggable:{item:false,range:false},editable:{updateTime:false,updateGroup:false,add:false,remove:false,overrideItems:false},groupEditable:{order:false,add:false,remove:false},snap:TimeStep.snap,onDropObjectOnItem:function onDropObjectOnItem(objectData,item,callback){callback(item)},onAdd:function onAdd(item,callback){callback(item)},onUpdate:function onUpdate(item,callback){callback(item)},onMove:function onMove(item,callback){callback(item)},onRemove:function onRemove(item,callback){callback(item)},onMoving:function onMoving(item,callback){callback(item)},onAddGroup:function onAddGroup(item,callback){callback(item)},onMoveGroup:function onMoveGroup(item,callback){callback(item)},onRemoveGroup:function onRemoveGroup(item,callback){callback(item)},margin:{item:{horizontal:10,vertical:10},axis:20},showTooltips:true,tooltip:{followMouse:false,overflowMethod:\"flip\"},tooltipOnItemUpdateTime:false};this.options=util.extend({},this.defaultOptions);this.options.rtl=options.rtl;this.itemOptions={type:{start:\"Date\",end:\"Date\"}};this.conversion={toScreen:body.util.toScreen,toTime:body.util.toTime};this.dom={};this.props={};this.hammer=null;var me=this;this.itemsData=null;this.groupsData=null;this.itemListeners={add:function add(event,params,senderId){me._onAdd(params.items)},update:function update(event,params,senderId){me._onUpdate(params.items)},remove:function remove(event,params,senderId){me._onRemove(params.items)}};this.groupListeners={add:function add(event,params,senderId){me._onAddGroups(params.items);if(me.groupsData&&me.groupsData.length>0){var groupsData=me.groupsData.getDataSet();groupsData.get().forEach(function(groupData){if(groupData.nestedGroups){if(groupData.showNested!=false){groupData.showNested=true}var updatedGroups=[];groupData.nestedGroups.forEach(function(nestedGroupId){var updatedNestedGroup=groupsData.get(nestedGroupId);if(!updatedNestedGroup){return}updatedNestedGroup.nestedInGroup=groupData.id;if(groupData.showNested==false){updatedNestedGroup.visible=false}updatedGroups=updatedGroups.concat(updatedNestedGroup)});groupsData.update(updatedGroups,senderId)}})}},update:function update(event,params,senderId){me._onUpdateGroups(params.items)},remove:function remove(event,params,senderId){me._onRemoveGroups(params.items)}};this.items={};this.groups={};this.groupIds=[];this.selection=[];this.popup=null;this.touchParams={};this.groupTouchParams={};this._create();this.setOptions(options)}ItemSet.prototype=new Component;ItemSet.types={background:BackgroundItem,box:BoxItem,range:RangeItem,point:PointItem};ItemSet.prototype._create=function(){var frame=document.createElement(\"div\");frame.className=\"vis-itemset\";frame[\"timeline-itemset\"]=this;this.dom.frame=frame;var background=document.createElement(\"div\");background.className=\"vis-background\";frame.appendChild(background);this.dom.background=background;var foreground=document.createElement(\"div\");foreground.className=\"vis-foreground\";frame.appendChild(foreground);this.dom.foreground=foreground;var axis=document.createElement(\"div\");axis.className=\"vis-axis\";this.dom.axis=axis;var labelSet=document.createElement(\"div\");labelSet.className=\"vis-labelset\";this.dom.labelSet=labelSet;this._updateUngrouped();var backgroundGroup=new BackgroundGroup(BACKGROUND,null,this);backgroundGroup.show();this.groups[BACKGROUND]=backgroundGroup;this.hammer=new Hammer(this.body.dom.centerContainer);this.hammer.on(\"hammer.input\",function(event){if(event.isFirst){this._onTouch(event)}}.bind(this));this.hammer.on(\"panstart\",this._onDragStart.bind(this));this.hammer.on(\"panmove\",this._onDrag.bind(this));this.hammer.on(\"panend\",this._onDragEnd.bind(this));this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_HORIZONTAL});this.hammer.on(\"tap\",this._onSelectItem.bind(this));this.hammer.on(\"press\",this._onMultiSelectItem.bind(this));this.hammer.on(\"doubletap\",this._onAddItem.bind(this));if(this.options.rtl){\nthis.groupHammer=new Hammer(this.body.dom.rightContainer)}else{this.groupHammer=new Hammer(this.body.dom.leftContainer)}this.groupHammer.on(\"tap\",this._onGroupClick.bind(this));this.groupHammer.on(\"panstart\",this._onGroupDragStart.bind(this));this.groupHammer.on(\"panmove\",this._onGroupDrag.bind(this));this.groupHammer.on(\"panend\",this._onGroupDragEnd.bind(this));this.groupHammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_VERTICAL});this.body.dom.centerContainer.addEventListener(\"mouseover\",this._onMouseOver.bind(this));this.body.dom.centerContainer.addEventListener(\"mouseout\",this._onMouseOut.bind(this));this.body.dom.centerContainer.addEventListener(\"mousemove\",this._onMouseMove.bind(this));this.body.dom.centerContainer.addEventListener(\"contextmenu\",this._onDragEnd.bind(this));this.body.dom.centerContainer.addEventListener(\"mousewheel\",this._onMouseWheel.bind(this));this.show()};ItemSet.prototype.setOptions=function(options){if(options){var fields=[\"type\",\"rtl\",\"align\",\"order\",\"stack\",\"stackSubgroups\",\"selectable\",\"multiselect\",\"multiselectPerGroup\",\"groupOrder\",\"dataAttributes\",\"template\",\"groupTemplate\",\"visibleFrameTemplate\",\"hide\",\"snap\",\"groupOrderSwap\",\"showTooltips\",\"tooltip\",\"tooltipOnItemUpdateTime\"];util.selectiveExtend(fields,this.options,options);if(\"itemsAlwaysDraggable\"in options){if(typeof options.itemsAlwaysDraggable===\"boolean\"){this.options.itemsAlwaysDraggable.item=options.itemsAlwaysDraggable;this.options.itemsAlwaysDraggable.range=false}else if((0,_typeof3[\"default\"])(options.itemsAlwaysDraggable)===\"object\"){util.selectiveExtend([\"item\",\"range\"],this.options.itemsAlwaysDraggable,options.itemsAlwaysDraggable);if(!this.options.itemsAlwaysDraggable.item){this.options.itemsAlwaysDraggable.range=false}}}if(\"orientation\"in options){if(typeof options.orientation===\"string\"){this.options.orientation.item=options.orientation===\"top\"?\"top\":\"bottom\"}else if((0,_typeof3[\"default\"])(options.orientation)===\"object\"&&\"item\"in options.orientation){this.options.orientation.item=options.orientation.item}}if(\"margin\"in options){if(typeof options.margin===\"number\"){this.options.margin.axis=options.margin;this.options.margin.item.horizontal=options.margin;this.options.margin.item.vertical=options.margin}else if((0,_typeof3[\"default\"])(options.margin)===\"object\"){util.selectiveExtend([\"axis\"],this.options.margin,options.margin);if(\"item\"in options.margin){if(typeof options.margin.item===\"number\"){this.options.margin.item.horizontal=options.margin.item;this.options.margin.item.vertical=options.margin.item}else if((0,_typeof3[\"default\"])(options.margin.item)===\"object\"){util.selectiveExtend([\"horizontal\",\"vertical\"],this.options.margin.item,options.margin.item)}}}}if(\"editable\"in options){if(typeof options.editable===\"boolean\"){this.options.editable.updateTime=options.editable;this.options.editable.updateGroup=options.editable;this.options.editable.add=options.editable;this.options.editable.remove=options.editable;this.options.editable.overrideItems=false}else if((0,_typeof3[\"default\"])(options.editable)===\"object\"){util.selectiveExtend([\"updateTime\",\"updateGroup\",\"add\",\"remove\",\"overrideItems\"],this.options.editable,options.editable)}}if(\"groupEditable\"in options){if(typeof options.groupEditable===\"boolean\"){this.options.groupEditable.order=options.groupEditable;this.options.groupEditable.add=options.groupEditable;this.options.groupEditable.remove=options.groupEditable}else if((0,_typeof3[\"default\"])(options.groupEditable)===\"object\"){util.selectiveExtend([\"order\",\"add\",\"remove\"],this.options.groupEditable,options.groupEditable)}}var addCallback=function(name){var fn=options[name];if(fn){if(!(fn instanceof Function)){throw new Error(\"option \"+name+\" must be a function \"+name+\"(item, callback)\")}this.options[name]=fn}}.bind(this);[\"onDropObjectOnItem\",\"onAdd\",\"onUpdate\",\"onRemove\",\"onMove\",\"onMoving\",\"onAddGroup\",\"onMoveGroup\",\"onRemoveGroup\"].forEach(addCallback);this.markDirty()}};ItemSet.prototype.markDirty=function(options){this.groupIds=[];if(options&&options.refreshItems){util.forEach(this.items,function(item){item.dirty=true;if(item.displayed)item.redraw()})}};ItemSet.prototype.destroy=function(){this.hide();this.setItems(null);this.setGroups(null);this.hammer=null;this.body=null;this.conversion=null};ItemSet.prototype.hide=function(){if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}if(this.dom.axis.parentNode){this.dom.axis.parentNode.removeChild(this.dom.axis)}if(this.dom.labelSet.parentNode){this.dom.labelSet.parentNode.removeChild(this.dom.labelSet)}};ItemSet.prototype.show=function(){if(!this.dom.frame.parentNode){this.body.dom.center.appendChild(this.dom.frame)}if(!this.dom.axis.parentNode){this.body.dom.backgroundVertical.appendChild(this.dom.axis)}if(!this.dom.labelSet.parentNode){if(this.options.rtl){this.body.dom.right.appendChild(this.dom.labelSet)}else{this.body.dom.left.appendChild(this.dom.labelSet)}}};ItemSet.prototype.setSelection=function(ids){var i,ii,id,item;if(ids==undefined)ids=[];if(!Array.isArray(ids))ids=[ids];for(i=0,ii=this.selection.length;i<ii;i++){id=this.selection[i];item=this.items[id];if(item)item.unselect()}this.selection=[];for(i=0,ii=ids.length;i<ii;i++){id=ids[i];item=this.items[id];if(item){this.selection.push(id);item.select()}}};ItemSet.prototype.getSelection=function(){return this.selection.concat([])};ItemSet.prototype.getVisibleItems=function(){var range=this.body.range.getRange();var right,left;if(this.options.rtl){right=this.body.util.toScreen(range.start);left=this.body.util.toScreen(range.end)}else{left=this.body.util.toScreen(range.start);right=this.body.util.toScreen(range.end)}var ids=[];for(var groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){var group=this.groups[groupId];var rawVisibleItems=group.isVisible?group.visibleItems:[];for(var i=0;i<rawVisibleItems.length;i++){var item=rawVisibleItems[i];if(this.options.rtl){if(item.right<left&&item.right+item.width>right){ids.push(item.id)}}else{if(item.left<right&&item.left+item.width>left){ids.push(item.id)}}}}}return ids};ItemSet.prototype._deselect=function(id){var selection=this.selection;for(var i=0,ii=selection.length;i<ii;i++){if(selection[i]==id){selection.splice(i,1);break}}};ItemSet.prototype.redraw=function(){var margin=this.options.margin,range=this.body.range,asSize=util.option.asSize,options=this.options,orientation=options.orientation.item,resized=false,frame=this.dom.frame;this.props.top=this.body.domProps.top.height+this.body.domProps.border.top;if(this.options.rtl){this.props.right=this.body.domProps.right.width+this.body.domProps.border.right}else{this.props.left=this.body.domProps.left.width+this.body.domProps.border.left}frame.className=\"vis-itemset\";resized=this._orderGroups()||resized;var visibleInterval=range.end-range.start;var zoomed=visibleInterval!=this.lastVisibleInterval||this.props.width!=this.props.lastWidth;var scrolled=range.start!=this.lastRangeStart;var changedStackOption=options.stack!=this.lastStack;var changedStackSubgroupsOption=options.stackSubgroups!=this.lastStackSubgroups;var forceRestack=zoomed||scrolled||changedStackOption||changedStackSubgroupsOption;this.lastVisibleInterval=visibleInterval;this.lastRangeStart=range.start;this.lastStack=options.stack;this.lastStackSubgroups=options.stackSubgroups;this.props.lastWidth=this.props.width;var firstGroup=this._firstGroup();var firstMargin={item:margin.item,axis:margin.axis};var nonFirstMargin={item:margin.item,axis:margin.item.vertical/2};var height=0;var minHeight=margin.axis+margin.item.vertical;this.groups[BACKGROUND].redraw(range,nonFirstMargin,forceRestack);var redrawQueue={};var redrawQueueLength=0;util.forEach(this.groups,function(group,key){if(key===BACKGROUND)return;var groupMargin=group==firstGroup?firstMargin:nonFirstMargin;var returnQueue=true;redrawQueue[key]=group.redraw(range,groupMargin,forceRestack,returnQueue);redrawQueueLength=redrawQueue[key].length});var needRedraw=redrawQueueLength>0;if(needRedraw){var redrawResults={};for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns,key){redrawResults[key]=fns[i]()})}util.forEach(this.groups,function(group,key){if(key===BACKGROUND)return;var groupResized=redrawResults[key];resized=groupResized||resized;height+=group.height});height=Math.max(height,minHeight)}height=Math.max(height,minHeight);frame.style.height=asSize(height);this.props.width=frame.offsetWidth;this.props.height=height;this.dom.axis.style.top=asSize(orientation==\"top\"?this.body.domProps.top.height+this.body.domProps.border.top:this.body.domProps.top.height+this.body.domProps.centerContainer.height);if(this.options.rtl){this.dom.axis.style.right=\"0\"}else{this.dom.axis.style.left=\"0\"}this.initialItemSetDrawn=true;resized=this._isResized()||resized;return resized};ItemSet.prototype._firstGroup=function(){var firstGroupIndex=this.options.orientation.item==\"top\"?0:this.groupIds.length-1;var firstGroupId=this.groupIds[firstGroupIndex];var firstGroup=this.groups[firstGroupId]||this.groups[UNGROUPED];return firstGroup||null};ItemSet.prototype._updateUngrouped=function(){var ungrouped=this.groups[UNGROUPED];var item,itemId;if(this.groupsData){if(ungrouped){ungrouped.hide();delete this.groups[UNGROUPED];for(itemId in this.items){if(this.items.hasOwnProperty(itemId)){item=this.items[itemId];item.parent&&item.parent.remove(item);var groupId=this._getGroupId(item.data);var group=this.groups[groupId];group&&group.add(item)||item.hide()}}}}else{if(!ungrouped){var id=null;var data=null;ungrouped=new Group(id,data,this);this.groups[UNGROUPED]=ungrouped;for(itemId in this.items){if(this.items.hasOwnProperty(itemId)){item=this.items[itemId];ungrouped.add(item)}}ungrouped.show()}}};ItemSet.prototype.getLabelSet=function(){return this.dom.labelSet};ItemSet.prototype.setItems=function(items){var me=this,ids,oldItemsData=this.itemsData;if(!items){this.itemsData=null}else if(items instanceof DataSet||items instanceof DataView){this.itemsData=items}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(oldItemsData){util.forEach(this.itemListeners,function(callback,event){oldItemsData.off(event,callback)});ids=oldItemsData.getIds();this._onRemove(ids)}if(this.itemsData){var id=this.id;util.forEach(this.itemListeners,function(callback,event){me.itemsData.on(event,callback,id)});ids=this.itemsData.getIds();this._onAdd(ids);this._updateUngrouped()}this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype.getItems=function(){return this.itemsData};ItemSet.prototype.setGroups=function(groups){var me=this,ids;if(this.groupsData){util.forEach(this.groupListeners,function(callback,event){me.groupsData.off(event,callback)});ids=this.groupsData.getIds();this.groupsData=null;this._onRemoveGroups(ids)}if(!groups){this.groupsData=null}else if(groups instanceof DataSet||groups instanceof DataView){this.groupsData=groups}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(this.groupsData){var groupsData=this.groupsData;if(this.groupsData instanceof DataView){groupsData=this.groupsData.getDataSet()}groupsData.get().forEach(function(group){if(group.nestedGroups){group.nestedGroups.forEach(function(nestedGroupId){var updatedNestedGroup=groupsData.get(nestedGroupId);updatedNestedGroup.nestedInGroup=group.id;if(group.showNested==false){updatedNestedGroup.visible=false}groupsData.update(updatedNestedGroup)})}});var id=this.id;util.forEach(this.groupListeners,function(callback,event){me.groupsData.on(event,callback,id)});ids=this.groupsData.getIds();this._onAddGroups(ids)}this._updateUngrouped();this._order();this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype.getGroups=function(){return this.groupsData};ItemSet.prototype.removeItem=function(id){var item=this.itemsData.get(id),dataset=this.itemsData.getDataSet();if(item){this.options.onRemove(item,function(item){if(item){dataset.remove(id)}})}};ItemSet.prototype._getType=function(itemData){return itemData.type||this.options.type||(itemData.end?\"range\":\"box\")};ItemSet.prototype._getGroupId=function(itemData){var type=this._getType(itemData);if(type==\"background\"&&itemData.group==undefined){return BACKGROUND}else{return this.groupsData?itemData.group:UNGROUPED}};ItemSet.prototype._onUpdate=function(ids){var me=this;ids.forEach(function(id){var itemData=me.itemsData.get(id,me.itemOptions);var item=me.items[id];var type=itemData?me._getType(itemData):null;var constructor=ItemSet.types[type];var selected;if(item){if(!constructor||!(item instanceof constructor)){selected=item.selected;me._removeItem(item);item=null}else{me._updateItem(item,itemData)}}if(!item&&itemData){if(constructor){item=new constructor(itemData,me.conversion,me.options);item.id=id;me._addItem(item);if(selected){this.selection.push(id);item.select()}}else if(type==\"rangeoverflow\"){throw new TypeError('Item type \"rangeoverflow\" is deprecated. Use css styling instead: '+\".vis-item.vis-range .vis-item-content {overflow: visible;}\")}else{throw new TypeError('Unknown item type \"'+type+'\"')}}}.bind(this));this._order();this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype._onAdd=ItemSet.prototype._onUpdate;ItemSet.prototype._onRemove=function(ids){var count=0;var me=this;ids.forEach(function(id){var item=me.items[id];if(item){count++;me._removeItem(item)}});if(count){this._order();this.body.emitter.emit(\"_change\",{queue:true})}};ItemSet.prototype._order=function(){util.forEach(this.groups,function(group){group.order()})};ItemSet.prototype._onUpdateGroups=function(ids){this._onAddGroups(ids)};ItemSet.prototype._onAddGroups=function(ids){var me=this;ids.forEach(function(id){var groupData=me.groupsData.get(id);var group=me.groups[id];if(!group){if(id==UNGROUPED||id==BACKGROUND){throw new Error(\"Illegal group id. \"+id+\" is a reserved id.\")}var groupOptions=(0,_create2[\"default\"])(me.options);util.extend(groupOptions,{height:null});group=new Group(id,groupData,me);me.groups[id]=group;for(var itemId in me.items){if(me.items.hasOwnProperty(itemId)){var item=me.items[itemId];if(item.data.group==id){group.add(item)}}}group.order();group.show()}else{group.setData(groupData)}});this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype._onRemoveGroups=function(ids){var groups=this.groups;ids.forEach(function(id){var group=groups[id];if(group){group.hide();delete groups[id]}});this.markDirty();this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype._orderGroups=function(){if(this.groupsData){var groupIds=this.groupsData.getIds({order:this.options.groupOrder});groupIds=this._orderNestedGroups(groupIds);var changed=!util.equalArray(groupIds,this.groupIds);if(changed){var groups=this.groups;groupIds.forEach(function(groupId){groups[groupId].hide()});groupIds.forEach(function(groupId){groups[groupId].show()});this.groupIds=groupIds}return changed}else{return false}};ItemSet.prototype._orderNestedGroups=function(groupIds){var newGroupIdsOrder=[];groupIds.forEach(function(groupId){var groupData=this.groupsData.get(groupId);if(!groupData.nestedInGroup){newGroupIdsOrder.push(groupId)}if(groupData.nestedGroups){var nestedGroups=this.groupsData.get({filter:function filter(nestedGroup){return nestedGroup.nestedInGroup==groupId},order:this.options.groupOrder});var nestedGroupIds=nestedGroups.map(function(nestedGroup){return nestedGroup.id});newGroupIdsOrder=newGroupIdsOrder.concat(nestedGroupIds)}},this);return newGroupIdsOrder};ItemSet.prototype._addItem=function(item){this.items[item.id]=item;var groupId=this._getGroupId(item.data);var group=this.groups[groupId];if(!group){item.groupShowing=false}else if(group&&group.data&&group.data.showNested){item.groupShowing=true}if(group)group.add(item)};ItemSet.prototype._updateItem=function(item,itemData){item.setData(itemData);var groupId=this._getGroupId(item.data);var group=this.groups[groupId];if(!group){item.groupShowing=false}else if(group&&group.data&&group.data.showNested){item.groupShowing=true}};ItemSet.prototype._removeItem=function(item){item.hide();delete this.items[item.id];var index=this.selection.indexOf(item.id);if(index!=-1)this.selection.splice(index,1);item.parent&&item.parent.remove(item)};ItemSet.prototype._constructByEndArray=function(array){var endArray=[];for(var i=0;i<array.length;i++){if(array[i]instanceof RangeItem){endArray.push(array[i])}}return endArray};ItemSet.prototype._onTouch=function(event){this.touchParams.item=this.itemFromTarget(event);this.touchParams.dragLeftItem=event.target.dragLeftItem||false;this.touchParams.dragRightItem=event.target.dragRightItem||false;this.touchParams.itemProps=null};ItemSet.prototype._getGroupIndex=function(groupId){for(var i=0;i<this.groupIds.length;i++){if(groupId==this.groupIds[i])return i}};ItemSet.prototype._onDragStart=function(event){if(this.touchParams.itemIsDragging){return}var item=this.touchParams.item||null;var me=this;var props;if(item&&(item.selected||this.options.itemsAlwaysDraggable.item)){if(this.options.editable.overrideItems&&!this.options.editable.updateTime&&!this.options.editable.updateGroup){return}if(item.editable!=null&&!item.editable.updateTime&&!item.editable.updateGroup&&!this.options.editable.overrideItems){return}var dragLeftItem=this.touchParams.dragLeftItem;var dragRightItem=this.touchParams.dragRightItem;this.touchParams.itemIsDragging=true;this.touchParams.selectedItem=item;if(dragLeftItem){props={item:dragLeftItem,initialX:event.center.x,dragLeft:true,data:this._cloneItemData(item.data)};this.touchParams.itemProps=[props]}else if(dragRightItem){props={item:dragRightItem,initialX:event.center.x,dragRight:true,data:this._cloneItemData(item.data)};this.touchParams.itemProps=[props]}else if(this.options.editable.add&&(event.srcEvent.ctrlKey||event.srcEvent.metaKey)){this._onDragStartAddItem(event)}else{if(this.groupIds.length<1){this.redraw()}var baseGroupIndex=this._getGroupIndex(item.data.group);var itemsToDrag=this.options.itemsAlwaysDraggable.item&&!item.selected?[item.id]:this.getSelection();this.touchParams.itemProps=itemsToDrag.map(function(id){var item=me.items[id];var groupIndex=me._getGroupIndex(item.data.group);return{item:item,initialX:event.center.x,groupOffset:baseGroupIndex-groupIndex,data:this._cloneItemData(item.data)}}.bind(this))}event.stopPropagation()}else if(this.options.editable.add&&(event.srcEvent.ctrlKey||event.srcEvent.metaKey)){this._onDragStartAddItem(event)}};ItemSet.prototype._onDragStartAddItem=function(event){var xAbs;var x;var snap=this.options.snap||null;if(this.options.rtl){xAbs=util.getAbsoluteRight(this.dom.frame);x=xAbs-event.center.x+10}else{xAbs=util.getAbsoluteLeft(this.dom.frame);x=event.center.x-xAbs-10}var time=this.body.util.toTime(x);var scale=this.body.util.getScale();var step=this.body.util.getStep();var start=snap?snap(time,scale,step):time;var end=start;var itemData={type:\"range\",start:start,end:end,content:\"new item\"};var id=util.randomUUID();itemData[this.itemsData._fieldId]=id;var group=this.groupFromTarget(event);if(group){itemData.group=group.groupId}var newItem=new RangeItem(itemData,this.conversion,this.options);newItem.id=id;newItem.data=this._cloneItemData(itemData);this._addItem(newItem);this.touchParams.selectedItem=newItem;var props={item:newItem,initialX:event.center.x,data:newItem.data};if(this.options.rtl){props.dragLeft=true}else{props.dragRight=true}this.touchParams.itemProps=[props];event.stopPropagation()};ItemSet.prototype._onDrag=function(event){if(this.touchParams.itemProps){event.stopPropagation();var me=this;var snap=this.options.snap||null;var xOffset;if(this.options.rtl){xOffset=this.body.dom.root.offsetLeft+this.body.domProps.right.width}else{xOffset=this.body.dom.root.offsetLeft+this.body.domProps.left.width}var scale=this.body.util.getScale();var step=this.body.util.getStep();var selectedItem=this.touchParams.selectedItem;var updateGroupAllowed=(this.options.editable.overrideItems||selectedItem.editable==null)&&this.options.editable.updateGroup||!this.options.editable.overrideItems&&selectedItem.editable!=null&&selectedItem.editable.updateGroup;var newGroupBase=null;if(updateGroupAllowed&&selectedItem){if(selectedItem.data.group!=undefined){var group=me.groupFromTarget(event);if(group){newGroupBase=this._getGroupIndex(group.groupId)}}}this.touchParams.itemProps.forEach(function(props){var current=me.body.util.toTime(event.center.x-xOffset);var initial=me.body.util.toTime(props.initialX-xOffset);var offset;var initialStart;var initialEnd;var start;var end;if(this.options.rtl){offset=-(current-initial)}else{offset=current-initial}var itemData=this._cloneItemData(props.item.data);if(props.item.editable!=null&&!props.item.editable.updateTime&&!props.item.editable.updateGroup&&!me.options.editable.overrideItems){return}var updateTimeAllowed=(this.options.editable.overrideItems||selectedItem.editable==null)&&this.options.editable.updateTime||!this.options.editable.overrideItems&&selectedItem.editable!=null&&selectedItem.editable.updateTime;if(updateTimeAllowed){if(props.dragLeft){if(this.options.rtl){if(itemData.end!=undefined){initialEnd=util.convert(props.data.end,\"Date\");end=new Date(initialEnd.valueOf()+offset);itemData.end=snap?snap(end,scale,step):end}}else{if(itemData.start!=undefined){initialStart=util.convert(props.data.start,\"Date\");start=new Date(initialStart.valueOf()+offset);itemData.start=snap?snap(start,scale,step):start}}}else if(props.dragRight){if(this.options.rtl){if(itemData.start!=undefined){initialStart=util.convert(props.data.start,\"Date\");start=new Date(initialStart.valueOf()+offset);itemData.start=snap?snap(start,scale,step):start}}else{if(itemData.end!=undefined){initialEnd=util.convert(props.data.end,\"Date\");end=new Date(initialEnd.valueOf()+offset);itemData.end=snap?snap(end,scale,step):end}}}else{if(itemData.start!=undefined){initialStart=util.convert(props.data.start,\"Date\").valueOf();start=new Date(initialStart+offset);if(itemData.end!=undefined){initialEnd=util.convert(props.data.end,\"Date\");var duration=initialEnd.valueOf()-initialStart.valueOf();itemData.start=snap?snap(start,scale,step):start;itemData.end=new Date(itemData.start.valueOf()+duration)}else{itemData.start=snap?snap(start,scale,step):start}}}}if(updateGroupAllowed&&!props.dragLeft&&!props.dragRight&&newGroupBase!=null){if(itemData.group!=undefined){var newOffset=newGroupBase-props.groupOffset;newOffset=Math.max(0,newOffset);newOffset=Math.min(me.groupIds.length-1,newOffset);itemData.group=me.groupIds[newOffset]}}itemData=this._cloneItemData(itemData);me.options.onMoving(itemData,function(itemData){if(itemData){props.item.setData(this._cloneItemData(itemData,\"Date\"))}}.bind(this))}.bind(this));this.body.emitter.emit(\"_change\")}};ItemSet.prototype._moveToGroup=function(item,groupId){var group=this.groups[groupId];if(group&&group.groupId!=item.data.group){var oldGroup=item.parent;oldGroup.remove(item);oldGroup.order();item.data.group=group.groupId;group.add(item);group.order()}};ItemSet.prototype._onDragEnd=function(event){this.touchParams.itemIsDragging=false;if(this.touchParams.itemProps){event.stopPropagation();var me=this;var dataset=this.itemsData.getDataSet();var itemProps=this.touchParams.itemProps;this.touchParams.itemProps=null;itemProps.forEach(function(props){var id=props.item.id;var exists=me.itemsData.get(id,me.itemOptions)!=null;if(!exists){me.options.onAdd(props.item.data,function(itemData){me._removeItem(props.item);if(itemData){me.itemsData.getDataSet().add(itemData)}me.body.emitter.emit(\"_change\")})}else{var itemData=this._cloneItemData(props.item.data);me.options.onMove(itemData,function(itemData){if(itemData){itemData[dataset._fieldId]=id;dataset.update(itemData)}else{props.item.setData(props.data);me.body.emitter.emit(\"_change\")}})}}.bind(this))}};ItemSet.prototype._onGroupClick=function(event){var group=this.groupFromTarget(event);if(!group||!group.nestedGroups)return;var groupsData=this.groupsData.getDataSet();var nestingGroup=groupsData.get(group.groupId);if(nestingGroup.showNested==undefined){nestingGroup.showNested=true}nestingGroup.showNested=!nestingGroup.showNested;var nestedGroups=groupsData.get(group.nestedGroups).map(function(nestedGroup){nestedGroup.visible=nestingGroup.showNested;return nestedGroup});groupsData.update(nestedGroups.concat(nestingGroup));if(nestingGroup.showNested){util.removeClassName(group.dom.label,\"collapsed\");util.addClassName(group.dom.label,\"expanded\")}else{util.removeClassName(group.dom.label,\"expanded\");var collapsedDirClassName=this.options.rtl?\"collapsed-rtl\":\"collapsed\";util.addClassName(group.dom.label,collapsedDirClassName)}};ItemSet.prototype._onGroupDragStart=function(event){if(this.options.groupEditable.order){this.groupTouchParams.group=this.groupFromTarget(event);if(this.groupTouchParams.group){event.stopPropagation();this.groupTouchParams.originalOrder=this.groupsData.getIds({order:this.options.groupOrder})}}};ItemSet.prototype._onGroupDrag=function(event){if(this.options.groupEditable.order&&this.groupTouchParams.group){event.stopPropagation();var groupsData=this.groupsData;if(this.groupsData instanceof DataView){groupsData=this.groupsData.getDataSet()}var group=this.groupFromTarget(event);if(group&&group.height!=this.groupTouchParams.group.height){var movingUp=group.top<this.groupTouchParams.group.top;var clientY=event.center?event.center.y:event.clientY;var targetGroupTop=util.getAbsoluteTop(group.dom.foreground);var draggedGroupHeight=this.groupTouchParams.group.height;if(movingUp){if(targetGroupTop+draggedGroupHeight<clientY){return}}else{var targetGroupHeight=group.height;if(targetGroupTop+targetGroupHeight-draggedGroupHeight>clientY){return}}}if(group&&group!=this.groupTouchParams.group){var targetGroup=groupsData.get(group.groupId);var draggedGroup=groupsData.get(this.groupTouchParams.group.groupId);if(draggedGroup&&targetGroup){this.options.groupOrderSwap(draggedGroup,targetGroup,groupsData);groupsData.update(draggedGroup);groupsData.update(targetGroup)}var newOrder=groupsData.getIds({order:this.options.groupOrder});if(!util.equalArray(newOrder,this.groupTouchParams.originalOrder)){var origOrder=this.groupTouchParams.originalOrder;var draggedId=this.groupTouchParams.group.groupId;var numGroups=Math.min(origOrder.length,newOrder.length);var curPos=0;var newOffset=0;var orgOffset=0;while(curPos<numGroups){while(curPos+newOffset<numGroups&&curPos+orgOffset<numGroups&&newOrder[curPos+newOffset]==origOrder[curPos+orgOffset]){curPos++}if(curPos+newOffset>=numGroups){break}if(newOrder[curPos+newOffset]==draggedId){newOffset=1}else if(origOrder[curPos+orgOffset]==draggedId){orgOffset=1}else{var slippedPosition=newOrder.indexOf(origOrder[curPos+orgOffset]);var switchGroup=groupsData.get(newOrder[curPos+newOffset]);var shouldBeGroup=groupsData.get(origOrder[curPos+orgOffset]);this.options.groupOrderSwap(switchGroup,shouldBeGroup,groupsData);groupsData.update(switchGroup);groupsData.update(shouldBeGroup);var switchGroupId=newOrder[curPos+newOffset];newOrder[curPos+newOffset]=origOrder[curPos+orgOffset];newOrder[slippedPosition]=switchGroupId;curPos++}}}}}};ItemSet.prototype._onGroupDragEnd=function(event){if(this.options.groupEditable.order&&this.groupTouchParams.group){event.stopPropagation();var me=this;var id=me.groupTouchParams.group.groupId;var dataset=me.groupsData.getDataSet();var groupData=util.extend({},dataset.get(id));me.options.onMoveGroup(groupData,function(groupData){if(groupData){groupData[dataset._fieldId]=id;dataset.update(groupData)}else{var newOrder=dataset.getIds({order:me.options.groupOrder});if(!util.equalArray(newOrder,me.groupTouchParams.originalOrder)){var origOrder=me.groupTouchParams.originalOrder;var numGroups=Math.min(origOrder.length,newOrder.length);var curPos=0;while(curPos<numGroups){while(curPos<numGroups&&newOrder[curPos]==origOrder[curPos]){curPos++}if(curPos>=numGroups){break}var slippedPosition=newOrder.indexOf(origOrder[curPos]);var switchGroup=dataset.get(newOrder[curPos]);var shouldBeGroup=dataset.get(origOrder[curPos]);me.options.groupOrderSwap(switchGroup,shouldBeGroup,dataset);dataset.update(switchGroup);dataset.update(shouldBeGroup);var switchGroupId=newOrder[curPos];newOrder[curPos]=origOrder[curPos];newOrder[slippedPosition]=switchGroupId;curPos++}}}});me.body.emitter.emit(\"groupDragged\",{groupId:id})}};ItemSet.prototype._onSelectItem=function(event){if(!this.options.selectable)return;var ctrlKey=event.srcEvent&&(event.srcEvent.ctrlKey||event.srcEvent.metaKey);var shiftKey=event.srcEvent&&event.srcEvent.shiftKey;if(ctrlKey||shiftKey){this._onMultiSelectItem(event);return}var oldSelection=this.getSelection();var item=this.itemFromTarget(event);var selection=item?[item.id]:[];this.setSelection(selection);var newSelection=this.getSelection();if(newSelection.length>0||oldSelection.length>0){this.body.emitter.emit(\"select\",{items:newSelection,event:event})}};ItemSet.prototype._onMouseOver=function(event){var item=this.itemFromTarget(event);if(!item)return;var related=this.itemFromRelatedTarget(event);if(item===related){return}var title=item.getTitle();if(this.options.showTooltips&&title){if(this.popup==null){this.popup=new Popup(this.body.dom.root,this.options.tooltip.overflowMethod||\"flip\")}this.popup.setText(title);var container=this.body.dom.centerContainer;this.popup.setPosition(event.clientX-util.getAbsoluteLeft(container)+container.offsetLeft,event.clientY-util.getAbsoluteTop(container)+container.offsetTop);this.popup.show()}else{if(this.popup!=null){this.popup.hide()}}this.body.emitter.emit(\"itemover\",{item:item.id,event:event})};ItemSet.prototype._onMouseOut=function(event){var item=this.itemFromTarget(event);if(!item)return;var related=this.itemFromRelatedTarget(event);if(item===related){return}if(this.popup!=null){this.popup.hide()}this.body.emitter.emit(\"itemout\",{item:item.id,event:event})};ItemSet.prototype._onMouseMove=function(event){var item=this.itemFromTarget(event);if(!item)return;if(this.options.showTooltips&&this.options.tooltip.followMouse){if(this.popup){if(!this.popup.hidden){var container=this.body.dom.centerContainer;this.popup.setPosition(event.clientX-util.getAbsoluteLeft(container)+container.offsetLeft,event.clientY-util.getAbsoluteTop(container)+container.offsetTop);this.popup.show()}}}};ItemSet.prototype._onMouseWheel=function(event){if(this.touchParams.itemIsDragging){this._onDragEnd(event)}};ItemSet.prototype._onUpdateItem=function(item){if(!this.options.selectable)return;if(!this.options.editable.add)return;var me=this;if(item){var itemData=me.itemsData.get(item.id);this.options.onUpdate(itemData,function(itemData){if(itemData){me.itemsData.getDataSet().update(itemData)}})}};ItemSet.prototype._onDropObjectOnItem=function(event){var item=this.itemFromTarget(event);var objectData=JSON.parse(event.dataTransfer.getData(\"text\"));this.options.onDropObjectOnItem(objectData,item)};ItemSet.prototype._onAddItem=function(event){if(!this.options.selectable)return;if(!this.options.editable.add)return;var me=this;var snap=this.options.snap||null;var xAbs;var x;if(this.options.rtl){xAbs=util.getAbsoluteRight(this.dom.frame);x=xAbs-event.center.x}else{xAbs=util.getAbsoluteLeft(this.dom.frame);x=event.center.x-xAbs}var start=this.body.util.toTime(x);var scale=this.body.util.getScale();var step=this.body.util.getStep();var end;var newItemData;if(event.type==\"drop\"){newItemData=JSON.parse(event.dataTransfer.getData(\"text\"));newItemData.content=newItemData.content?newItemData.content:\"new item\";newItemData.start=newItemData.start?newItemData.start:snap?snap(start,scale,step):start;newItemData.type=newItemData.type||\"box\";newItemData[this.itemsData._fieldId]=newItemData.id||util.randomUUID();if(newItemData.type==\"range\"&&!newItemData.end){end=this.body.util.toTime(x+this.props.width/5);newItemData.end=snap?snap(end,scale,step):end}}else{newItemData={start:snap?snap(start,scale,step):start,content:\"new item\"};newItemData[this.itemsData._fieldId]=util.randomUUID();if(this.options.type===\"range\"){\nend=this.body.util.toTime(x+this.props.width/5);newItemData.end=snap?snap(end,scale,step):end}}var group=this.groupFromTarget(event);if(group){newItemData.group=group.groupId}newItemData=this._cloneItemData(newItemData);this.options.onAdd(newItemData,function(item){if(item){me.itemsData.getDataSet().add(item);if(event.type==\"drop\"){me.setSelection([item.id])}}})};ItemSet.prototype._onMultiSelectItem=function(event){if(!this.options.selectable)return;var item=this.itemFromTarget(event);if(item){var selection=this.options.multiselect?this.getSelection():[];var shiftKey=event.srcEvent&&event.srcEvent.shiftKey||false;if(shiftKey&&this.options.multiselect){var itemGroup=this.itemsData.get(item.id).group;var lastSelectedGroup=undefined;if(this.options.multiselectPerGroup){if(selection.length>0){lastSelectedGroup=this.itemsData.get(selection[0]).group}}if(!this.options.multiselectPerGroup||lastSelectedGroup==undefined||lastSelectedGroup==itemGroup){selection.push(item.id)}var range=ItemSet._getItemRange(this.itemsData.get(selection,this.itemOptions));if(!this.options.multiselectPerGroup||lastSelectedGroup==itemGroup){selection=[];for(var id in this.items){if(this.items.hasOwnProperty(id)){var _item=this.items[id];var start=_item.data.start;var end=_item.data.end!==undefined?_item.data.end:start;if(start>=range.min&&end<=range.max&&(!this.options.multiselectPerGroup||lastSelectedGroup==this.itemsData.get(_item.id).group)&&!(_item instanceof BackgroundItem)){selection.push(_item.id)}}}}}else{var index=selection.indexOf(item.id);if(index==-1){selection.push(item.id)}else{selection.splice(index,1)}}this.setSelection(selection);this.body.emitter.emit(\"select\",{items:this.getSelection(),event:event})}};ItemSet._getItemRange=function(itemsData){var max=null;var min=null;itemsData.forEach(function(data){if(min==null||data.start<min){min=data.start}if(data.end!=undefined){if(max==null||data.end>max){max=data.end}}else{if(max==null||data.start>max){max=data.start}}});return{min:min,max:max}};ItemSet.prototype.itemFromElement=function(element){var cur=element;while(cur){if(cur.hasOwnProperty(\"timeline-item\")){return cur[\"timeline-item\"]}cur=cur.parentNode}return null};ItemSet.prototype.itemFromTarget=function(event){return this.itemFromElement(event.target)};ItemSet.prototype.itemFromRelatedTarget=function(event){return this.itemFromElement(event.relatedTarget)};ItemSet.prototype.groupFromTarget=function(event){var clientY=event.center?event.center.y:event.clientY;var groupIds=this.groupIds;if(groupIds.length<=0&&this.groupsData){groupIds=this.groupsData.getIds({order:this.options.groupOrder})}for(var i=0;i<groupIds.length;i++){var groupId=groupIds[i];var group=this.groups[groupId];var foreground=group.dom.foreground;var top=util.getAbsoluteTop(foreground);if(clientY>top&&clientY<top+foreground.offsetHeight){return group}if(this.options.orientation.item===\"top\"){if(i===this.groupIds.length-1&&clientY>top){return group}}else{if(i===0&&clientY<top+foreground.offset){return group}}}return null};ItemSet.itemSetFromTarget=function(event){var target=event.target;while(target){if(target.hasOwnProperty(\"timeline-itemset\")){return target[\"timeline-itemset\"]}target=target.parentNode}return null};ItemSet.prototype._cloneItemData=function(itemData,type){var clone=util.extend({},itemData);if(!type){type=this.itemsData.getDataSet()._options.type}if(clone.start!=undefined){clone.start=util.convert(clone.start,type&&type.start||\"Date\")}if(clone.end!=undefined){clone.end=util.convert(clone.end,type&&type.end||\"Date\")}return clone};module.exports=ItemSet},function(module,exports,__webpack_require__){\"use strict\";var EPSILON=.001;exports.orderByStart=function(items){items.sort(function(a,b){return a.data.start-b.data.start})};exports.orderByEnd=function(items){items.sort(function(a,b){var aTime=\"end\"in a.data?a.data.end:a.data.start,bTime=\"end\"in b.data?b.data.end:b.data.start;return aTime-bTime})};exports.stack=function(items,margin,force){if(force){for(var i=0;i<items.length;i++){items[i].top=null}}for(var i=0;i<items.length;i++){var item=items[i];if(item.stack&&item.top===null){item.top=margin.axis;do{var collidingItem=null;for(var j=0,jj=items.length;j<jj;j++){var other=items[j];if(other.top!==null&&other!==item&&other.stack&&exports.collision(item,other,margin.item,other.options.rtl)){collidingItem=other;break}}if(collidingItem!=null){item.top=collidingItem.top+collidingItem.height+margin.item.vertical}}while(collidingItem)}}};exports.substack=function(items,margin,subgroup){for(var i=0;i<items.length;i++){items[i].top=null}var subgroupHeight=subgroup.height;for(i=0;i<items.length;i++){var item=items[i];if(item.stack&&item.top===null){item.top=item.baseTop;do{var collidingItem=null;for(var j=0,jj=items.length;j<jj;j++){var other=items[j];if(other.top!==null&&other!==item&&exports.collision(item,other,margin.item,other.options.rtl)){collidingItem=other;break}}if(collidingItem!=null){item.top=collidingItem.top+collidingItem.height+margin.item.vertical}if(item.top+item.height>subgroupHeight){subgroupHeight=item.top+item.height}}while(collidingItem)}}subgroup.height=subgroupHeight-subgroup.top+.5*margin.item.vertical};exports.nostack=function(items,margin,subgroups,stackSubgroups){for(var i=0;i<items.length;i++){if(items[i].data.subgroup==undefined){items[i].top=margin.item.vertical}else if(items[i].data.subgroup!==undefined&&stackSubgroups){var newTop=0;for(var subgroup in subgroups){if(subgroups.hasOwnProperty(subgroup)){if(subgroups[subgroup].visible==true&&subgroups[subgroup].index<subgroups[items[i].data.subgroup].index){newTop+=subgroups[subgroup].height;subgroups[items[i].data.subgroup].top=newTop}}}items[i].top=newTop+.5*margin.item.vertical}}if(!stackSubgroups){exports.stackSubgroups(items,margin,subgroups)}};exports.stackSubgroups=function(items,margin,subgroups){for(var subgroup in subgroups){if(subgroups.hasOwnProperty(subgroup)){subgroups[subgroup].top=0;do{var collidingItem=null;for(var otherSubgroup in subgroups){if(subgroups[otherSubgroup].top!==null&&otherSubgroup!==subgroup&&subgroups[subgroup].index>subgroups[otherSubgroup].index&&exports.collisionByTimes(subgroups[subgroup],subgroups[otherSubgroup])){collidingItem=subgroups[otherSubgroup];break}}if(collidingItem!=null){subgroups[subgroup].top=collidingItem.top+collidingItem.height}}while(collidingItem)}}for(var i=0;i<items.length;i++){if(items[i].data.subgroup!==undefined){items[i].top=subgroups[items[i].data.subgroup].top+.5*margin.item.vertical}}};exports.stackSubgroupsWithInnerStack=function(subgroupItems,margin,subgroups){var doSubStack=false;var subgroupOrder=[];for(var subgroup in subgroups){if(subgroups[subgroup].hasOwnProperty(\"index\")){subgroupOrder[subgroups[subgroup].index]=subgroup}else{subgroupOrder.push(subgroup)}}for(var j=0;j<subgroupOrder.length;j++){subgroup=subgroupOrder[j];if(subgroups.hasOwnProperty(subgroup)){doSubStack=doSubStack||subgroups[subgroup].stack;subgroups[subgroup].top=0;for(var otherSubgroup in subgroups){if(subgroups[otherSubgroup].visible&&subgroups[subgroup].index>subgroups[otherSubgroup].index){subgroups[subgroup].top+=subgroups[otherSubgroup].height}}var items=subgroupItems[subgroup];for(var i=0;i<items.length;i++){if(items[i].data.subgroup!==undefined){items[i].top=subgroups[items[i].data.subgroup].top+.5*margin.item.vertical;if(subgroups[subgroup].stack){items[i].baseTop=items[i].top}}}if(doSubStack&&subgroups[subgroup].stack){exports.substack(subgroupItems[subgroup],margin,subgroups[subgroup])}}}};exports.collision=function(a,b,margin,rtl){if(rtl){return a.right-margin.horizontal+EPSILON<b.right+b.width&&a.right+a.width+margin.horizontal-EPSILON>b.right&&a.top-margin.vertical+EPSILON<b.top+b.height&&a.top+a.height+margin.vertical-EPSILON>b.top}else{return a.left-margin.horizontal+EPSILON<b.left+b.width&&a.left+a.width+margin.horizontal-EPSILON>b.left&&a.top-margin.vertical+EPSILON<b.top+b.height&&a.top+a.height+margin.vertical-EPSILON>b.top}};exports.collisionByTimes=function(a,b){return a.start<=b.start&&a.end>=b.start&&a.top<b.top+b.height&&a.top+a.height>b.top||b.start<=a.start&&b.end>=a.start&&b.top<a.top+a.height&&b.top+b.height>a.top}},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);function BoxItem(data,conversion,options){this.props={dot:{width:0,height:0},line:{width:0,height:0}};this.options=options;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data)}}Item.call(this,data,conversion,options)}BoxItem.prototype=new Item(null,null,null);BoxItem.prototype.isVisible=function(range){var isVisible;var align=this.options.align;var widthInMs=this.width*range.getMillisecondsPerPixel();if(align==\"right\"){isVisible=this.data.start.getTime()>range.start&&this.data.start.getTime()-widthInMs<range.end}else if(align==\"left\"){isVisible=this.data.start.getTime()+widthInMs>range.start&&this.data.start.getTime()<range.end}else{isVisible=this.data.start.getTime()+widthInMs/2>range.start&&this.data.start.getTime()-widthInMs/2<range.end}return isVisible};BoxItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.box=document.createElement(\"DIV\");this.dom.content=document.createElement(\"DIV\");this.dom.content.className=\"vis-item-content\";this.dom.box.appendChild(this.dom.content);this.dom.line=document.createElement(\"DIV\");this.dom.line.className=\"vis-line\";this.dom.dot=document.createElement(\"DIV\");this.dom.dot.className=\"vis-dot\";this.dom.box[\"timeline-item\"]=this;this.dirty=true}};BoxItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.box.parentNode){var foreground=this.parent.dom.foreground;if(!foreground)throw new Error(\"Cannot redraw item: parent has no foreground container element\");foreground.appendChild(this.dom.box)}if(!this.dom.line.parentNode){var background=this.parent.dom.background;if(!background)throw new Error(\"Cannot redraw item: parent has no background container element\");background.appendChild(this.dom.line)}if(!this.dom.dot.parentNode){var axis=this.parent.dom.axis;if(!background)throw new Error(\"Cannot redraw item: parent has no axis container element\");axis.appendChild(this.dom.dot)}this.displayed=true};BoxItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.box);this._updateStyle(this.dom.box);var editable=this.editable.updateTime||this.editable.updateGroup;var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\")+(editable?\" vis-editable\":\" vis-readonly\");this.dom.box.className=\"vis-item vis-box\"+className;this.dom.line.className=\"vis-item vis-line\"+className;this.dom.dot.className=\"vis-item vis-dot\"+className}};BoxItem.prototype._getDomComponentsSizes=function(){return{previous:{right:this.dom.box.style.right,left:this.dom.box.style.left},dot:{height:this.dom.dot.offsetHeight,width:this.dom.dot.offsetWidth},line:{width:this.dom.line.offsetWidth},box:{width:this.dom.box.offsetWidth,height:this.dom.box.offsetHeight}}};BoxItem.prototype._updateDomComponentsSizes=function(sizes){if(this.options.rtl){this.dom.box.style.right=\"0px\"}else{this.dom.box.style.left=\"0px\"}this.props.dot.height=sizes.dot.height;this.props.dot.width=sizes.dot.width;this.props.line.width=sizes.line.width;this.width=sizes.box.width;this.height=sizes.box.height;if(this.options.rtl){this.dom.box.style.right=sizes.previous.right}else{this.dom.box.style.left=sizes.previous.left}this.dirty=false};BoxItem.prototype._repaintDomAdditionals=function(){this._repaintOnItemUpdateTimeTooltip(this.dom.box);this._repaintDragCenter();this._repaintDeleteButton(this.dom.box)};BoxItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};BoxItem.prototype.show=function(){if(!this.displayed){this.redraw()}};BoxItem.prototype.hide=function(){if(this.displayed){var dom=this.dom;if(dom.box.parentNode)dom.box.parentNode.removeChild(dom.box);if(dom.line.parentNode)dom.line.parentNode.removeChild(dom.line);if(dom.dot.parentNode)dom.dot.parentNode.removeChild(dom.dot);this.displayed=false}};BoxItem.prototype.repositionX=function(){var start=this.conversion.toScreen(this.data.start);var align=this.options.align;if(align==\"right\"){if(this.options.rtl){this.right=start-this.width;this.dom.box.style.right=this.right+\"px\";this.dom.line.style.right=start-this.props.line.width+\"px\";this.dom.dot.style.right=start-this.props.line.width/2-this.props.dot.width/2+\"px\"}else{this.left=start-this.width;this.dom.box.style.left=this.left+\"px\";this.dom.line.style.left=start-this.props.line.width+\"px\";this.dom.dot.style.left=start-this.props.line.width/2-this.props.dot.width/2+\"px\"}}else if(align==\"left\"){if(this.options.rtl){this.right=start;this.dom.box.style.right=this.right+\"px\";this.dom.line.style.right=start+\"px\";this.dom.dot.style.right=start+this.props.line.width/2-this.props.dot.width/2+\"px\"}else{this.left=start;this.dom.box.style.left=this.left+\"px\";this.dom.line.style.left=start+\"px\";this.dom.dot.style.left=start+this.props.line.width/2-this.props.dot.width/2+\"px\"}}else{if(this.options.rtl){this.right=start-this.width/2;this.dom.box.style.right=this.right+\"px\";this.dom.line.style.right=start-this.props.line.width+\"px\";this.dom.dot.style.right=start-this.props.dot.width/2+\"px\"}else{this.left=start-this.width/2;this.dom.box.style.left=this.left+\"px\";this.dom.line.style.left=start-this.props.line.width/2+\"px\";this.dom.dot.style.left=start-this.props.dot.width/2+\"px\"}}};BoxItem.prototype.repositionY=function(){var orientation=this.options.orientation.item;var box=this.dom.box;var line=this.dom.line;var dot=this.dom.dot;if(orientation==\"top\"){box.style.top=(this.top||0)+\"px\";line.style.top=\"0\";line.style.height=this.parent.top+this.top+1+\"px\";line.style.bottom=\"\"}else{var itemSetHeight=this.parent.itemSet.props.height;var lineHeight=itemSetHeight-this.parent.top-this.parent.height+this.top;box.style.top=(this.parent.height-this.top-this.height||0)+\"px\";line.style.top=itemSetHeight-lineHeight+\"px\";line.style.bottom=\"0\"}dot.style.top=-this.props.dot.height/2+\"px\"};BoxItem.prototype.getWidthLeft=function(){return this.width/2};BoxItem.prototype.getWidthRight=function(){return this.width/2};module.exports=BoxItem},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);function PointItem(data,conversion,options){this.props={dot:{top:0,width:0,height:0},content:{height:0,marginLeft:0,marginRight:0}};this.options=options;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data)}}Item.call(this,data,conversion,options)}PointItem.prototype=new Item(null,null,null);PointItem.prototype.isVisible=function(range){var widthInMs=this.width*range.getMillisecondsPerPixel();return this.data.start.getTime()+widthInMs>range.start&&this.data.start<range.end};PointItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.point=document.createElement(\"div\");this.dom.content=document.createElement(\"div\");this.dom.content.className=\"vis-item-content\";this.dom.point.appendChild(this.dom.content);this.dom.dot=document.createElement(\"div\");this.dom.point.appendChild(this.dom.dot);this.dom.point[\"timeline-item\"]=this;this.dirty=true}};PointItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.point.parentNode){var foreground=this.parent.dom.foreground;if(!foreground){throw new Error(\"Cannot redraw item: parent has no foreground container element\")}foreground.appendChild(this.dom.point)}this.displayed=true};PointItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.point);this._updateStyle(this.dom.point);var editable=this.editable.updateTime||this.editable.updateGroup;var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\")+(editable?\" vis-editable\":\" vis-readonly\");this.dom.point.className=\"vis-item vis-point\"+className;this.dom.dot.className=\"vis-item vis-dot\"+className}};PointItem.prototype._getDomComponentsSizes=function(){return{dot:{width:this.dom.dot.offsetWidth,height:this.dom.dot.offsetHeight},content:{width:this.dom.content.offsetWidth,height:this.dom.content.offsetHeight},point:{width:this.dom.point.offsetWidth,height:this.dom.point.offsetHeight}}};PointItem.prototype._updateDomComponentsSizes=function(sizes){this.props.dot.width=sizes.dot.width;this.props.dot.height=sizes.dot.height;this.props.content.height=sizes.content.height;if(this.options.rtl){this.dom.content.style.marginRight=2*this.props.dot.width+\"px\"}else{this.dom.content.style.marginLeft=2*this.props.dot.width+\"px\"}this.width=sizes.point.width;this.height=sizes.point.height;this.dom.dot.style.top=(this.height-this.props.dot.height)/2+\"px\";if(this.options.rtl){this.dom.dot.style.right=this.props.dot.width/2+\"px\"}else{this.dom.dot.style.left=this.props.dot.width/2+\"px\"}this.dirty=false};PointItem.prototype._repaintDomAdditionals=function(){this._repaintOnItemUpdateTimeTooltip(this.dom.point);this._repaintDragCenter();this._repaintDeleteButton(this.dom.point)};PointItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};PointItem.prototype.show=function(){if(!this.displayed){this.redraw()}};PointItem.prototype.hide=function(){if(this.displayed){if(this.dom.point.parentNode){this.dom.point.parentNode.removeChild(this.dom.point)}this.displayed=false}};PointItem.prototype.repositionX=function(){var start=this.conversion.toScreen(this.data.start);if(this.options.rtl){this.right=start-this.props.dot.width;this.dom.point.style.right=this.right+\"px\"}else{this.left=start-this.props.dot.width;this.dom.point.style.left=this.left+\"px\"}};PointItem.prototype.repositionY=function(){var orientation=this.options.orientation.item;var point=this.dom.point;if(orientation==\"top\"){point.style.top=this.top+\"px\"}else{point.style.top=this.parent.height-this.top-this.height+\"px\"}};PointItem.prototype.getWidthLeft=function(){return this.props.dot.width};PointItem.prototype.getWidthRight=function(){return this.props.dot.width};module.exports=PointItem},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);var BackgroundGroup=__webpack_require__(69);var RangeItem=__webpack_require__(70);function BackgroundItem(data,conversion,options){this.props={content:{width:0}};this.overflow=false;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data.id)}if(data.end==undefined){throw new Error('Property \"end\" missing in item '+data.id)}}Item.call(this,data,conversion,options)}BackgroundItem.prototype=new Item(null,null,null);BackgroundItem.prototype.baseClassName=\"vis-item vis-background\";BackgroundItem.prototype.stack=false;BackgroundItem.prototype.isVisible=function(range){return this.data.start<range.end&&this.data.end>range.start};BackgroundItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.box=document.createElement(\"div\");this.dom.frame=document.createElement(\"div\");this.dom.frame.className=\"vis-item-overflow\";this.dom.box.appendChild(this.dom.frame);this.dom.content=document.createElement(\"div\");this.dom.content.className=\"vis-item-content\";this.dom.frame.appendChild(this.dom.content);this.dirty=true}};BackgroundItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.box.parentNode){var background=this.parent.dom.background;if(!background){throw new Error(\"Cannot redraw item: parent has no background container element\")}background.appendChild(this.dom.box)}this.displayed=true};BackgroundItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.content);this._updateStyle(this.dom.box);var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\");this.dom.box.className=this.baseClassName+className}};BackgroundItem.prototype._getDomComponentsSizes=function(){this.overflow=window.getComputedStyle(this.dom.content).overflow!==\"hidden\";return{content:{width:this.dom.content.offsetWidth}}};BackgroundItem.prototype._updateDomComponentsSizes=function(sizes){this.props.content.width=sizes.content.width;this.height=0;this.dirty=false};BackgroundItem.prototype._repaintDomAdditionals=function(){};BackgroundItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes.bind(this)()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};BackgroundItem.prototype.show=RangeItem.prototype.show;BackgroundItem.prototype.hide=RangeItem.prototype.hide;BackgroundItem.prototype.repositionX=RangeItem.prototype.repositionX;BackgroundItem.prototype.repositionY=function(margin){var height;var orientation=this.options.orientation.item;if(this.data.subgroup!==undefined){var itemSubgroup=this.data.subgroup;this.dom.box.style.height=this.parent.subgroups[itemSubgroup].height+\"px\";if(orientation==\"top\"){this.dom.box.style.top=this.parent.top+this.parent.subgroups[itemSubgroup].top+\"px\"}else{this.dom.box.style.top=this.parent.top+this.parent.height-this.parent.subgroups[itemSubgroup].top-this.parent.subgroups[itemSubgroup].height+\"px\"}this.dom.box.style.bottom=\"\"}else{if(this.parent instanceof BackgroundGroup){height=Math.max(this.parent.height,this.parent.itemSet.body.domProps.center.height,this.parent.itemSet.body.domProps.centerContainer.height);this.dom.box.style.bottom=orientation==\"bottom\"?\"0\":\"\";this.dom.box.style.top=orientation==\"top\"?\"0\":\"\"}else{height=this.parent.height;this.dom.box.style.top=this.parent.top+\"px\";this.dom.box.style.bottom=\"\"}}this.dom.box.style.height=height+\"px\"};module.exports=BackgroundItem},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Popup=function(){function Popup(container,overflowMethod){(0,_classCallCheck3[\"default\"])(this,Popup);this.container=container;this.overflowMethod=overflowMethod||\"cap\";this.x=0;this.y=0;this.padding=5;this.hidden=false;this.frame=document.createElement(\"div\");this.frame.className=\"vis-tooltip\";this.container.appendChild(this.frame)}(0,_createClass3[\"default\"])(Popup,[{key:\"setPosition\",value:function setPosition(x,y){this.x=parseInt(x);this.y=parseInt(y)}},{key:\"setText\",value:function setText(content){if(content instanceof Element){this.frame.innerHTML=\"\";this.frame.appendChild(content)}else{this.frame.innerHTML=content}}},{key:\"show\",value:function show(doShow){if(doShow===undefined){doShow=true}if(doShow===true){var height=this.frame.clientHeight;var width=this.frame.clientWidth;var maxHeight=this.frame.parentNode.clientHeight;var maxWidth=this.frame.parentNode.clientWidth;var left=0,top=0;if(this.overflowMethod==\"flip\"){var isLeft=false,isTop=true;if(this.y-height<this.padding){isTop=false}if(this.x+width>maxWidth-this.padding){isLeft=true}if(isLeft){left=this.x-width}else{left=this.x}if(isTop){top=this.y-height}else{top=this.y}}else{top=this.y-height;if(top+height+this.padding>maxHeight){top=maxHeight-height-this.padding}if(top<this.padding){top=this.padding}left=this.x;if(left+width+this.padding>maxWidth){left=maxWidth-width-this.padding}if(left<this.padding){left=this.padding}}this.frame.style.left=left+\"px\";this.frame.style.top=top+\"px\";this.frame.style.visibility=\"visible\";this.hidden=false}else{this.hide()}}},{key:\"hide\",value:function hide(){this.hidden=true;this.frame.style.left=\"0\";this.frame.style.top=\"0\";this.frame.style.visibility=\"hidden\"}},{key:\"destroy\",value:function destroy(){this.frame.parentNode.removeChild(this.frame)}}]);return Popup}();exports[\"default\"]=Popup},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var array=\"array\";var date=\"date\";var object=\"object\";var dom=\"dom\";var moment=\"moment\";var any=\"any\";var allOptions={configure:{enabled:{boolean:bool},filter:{boolean:bool,function:\"function\"},container:{dom:dom},__type__:{object:object,boolean:bool,function:\"function\"}},align:{string:string},rtl:{boolean:bool,undefined:\"undefined\"},rollingMode:{follow:{boolean:bool},offset:{number:number,undefined:\"undefined\"},__type__:{object:object}},verticalScroll:{boolean:bool,undefined:\"undefined\"},horizontalScroll:{boolean:bool,undefined:\"undefined\"},autoResize:{boolean:bool},throttleRedraw:{number:number},clickToUse:{boolean:bool},dataAttributes:{string:string,array:array},editable:{add:{boolean:bool,undefined:\"undefined\"},remove:{boolean:bool,undefined:\"undefined\"},updateGroup:{boolean:bool,undefined:\"undefined\"},updateTime:{boolean:bool,undefined:\"undefined\"},overrideItems:{boolean:bool,undefined:\"undefined\"},__type__:{boolean:bool,object:object}},end:{number:number,date:date,string:string,moment:moment},format:{minorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},week:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object,function:\"function\"}},majorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},week:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object,function:\"function\"}},__type__:{object:object}},moment:{function:\"function\"},groupOrder:{string:string,function:\"function\"},groupEditable:{add:{boolean:bool,undefined:\"undefined\"},remove:{boolean:bool,undefined:\"undefined\"},order:{boolean:bool,undefined:\"undefined\"},__type__:{boolean:bool,object:object}},groupOrderSwap:{function:\"function\"},height:{string:string,number:number},hiddenDates:{start:{date:date,number:number,string:string,moment:moment},end:{date:date,number:number,string:string,moment:moment},repeat:{string:string},__type__:{object:object,array:array}},itemsAlwaysDraggable:{item:{boolean:bool,undefined:\"undefined\"},range:{boolean:bool,undefined:\"undefined\"},__type__:{boolean:bool,object:object}},limitSize:{boolean:bool},locale:{string:string},locales:{__any__:{any:any},__type__:{object:object}},margin:{axis:{number:number},item:{horizontal:{number:number,undefined:\"undefined\"},vertical:{number:number,undefined:\"undefined\"},__type__:{object:object,number:number}},__type__:{object:object,number:number}},max:{date:date,number:number,string:string,moment:moment},maxHeight:{number:number,string:string},maxMinorChars:{number:number},min:{date:date,number:number,string:string,moment:moment},minHeight:{number:number,string:string},moveable:{boolean:bool},multiselect:{boolean:bool},multiselectPerGroup:{boolean:bool},onAdd:{function:\"function\"},onDropObjectOnItem:{function:\"function\"},onUpdate:{function:\"function\"},onMove:{function:\"function\"},onMoving:{function:\"function\"},onRemove:{function:\"function\"},onAddGroup:{function:\"function\"},onMoveGroup:{function:\"function\"},onRemoveGroup:{function:\"function\"},onInitialDrawComplete:{function:\"function\"},order:{function:\"function\"},orientation:{axis:{string:string,undefined:\"undefined\"},item:{string:string,undefined:\"undefined\"},__type__:{string:string,object:object}},selectable:{boolean:bool},showCurrentTime:{boolean:bool},showMajorLabels:{boolean:bool},showMinorLabels:{boolean:bool},stack:{boolean:bool},stackSubgroups:{boolean:bool},snap:{function:\"function\",null:\"null\"},start:{date:date,number:number,string:string,moment:moment},template:{function:\"function\"},groupTemplate:{function:\"function\"},visibleFrameTemplate:{string:string,function:\"function\"},showTooltips:{boolean:bool},tooltip:{followMouse:{boolean:bool},overflowMethod:{string:[\"cap\",\"flip\"]},__type__:{object:object}},tooltipOnItemUpdateTime:{template:{function:\"function\"},__type__:{boolean:bool,object:object}},timeAxis:{scale:{string:string,undefined:\"undefined\"},step:{number:number,undefined:\"undefined\"},__type__:{object:object}},type:{string:string},width:{string:string,number:number},zoomable:{boolean:bool},zoomKey:{string:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"]},zoomMax:{number:number},zoomMin:{number:number},__type__:{object:object}};var configureOptions={global:{align:[\"center\",\"left\",\"right\"],direction:false,autoResize:true,clickToUse:false,editable:{add:false,remove:false,updateGroup:false,updateTime:false},end:\"\",format:{minorLabels:{millisecond:\"SSS\",second:\"s\",minute:\"HH:mm\",hour:\"HH:mm\",weekday:\"ddd D\",day:\"D\",week:\"w\",month:\"MMM\",year:\"YYYY\"},majorLabels:{millisecond:\"HH:mm:ss\",second:\"D MMMM HH:mm\",minute:\"ddd D MMMM\",hour:\"ddd D MMMM\",weekday:\"MMMM YYYY\",day:\"MMMM YYYY\",week:\"MMMM YYYY\",month:\"YYYY\",year:\"\"}},groupsDraggable:false,height:\"\",locale:\"\",margin:{axis:[20,0,100,1],item:{horizontal:[10,0,100,1],vertical:[10,0,100,1]}},max:\"\",maxHeight:\"\",maxMinorChars:[7,0,20,1],min:\"\",minHeight:\"\",moveable:false,multiselect:false,multiselectPerGroup:false,orientation:{axis:[\"both\",\"bottom\",\"top\"],item:[\"bottom\",\"top\"]},selectable:true,showCurrentTime:false,showMajorLabels:true,showMinorLabels:true,stack:true,stackSubgroups:true,start:\"\",showTooltips:true,tooltip:{followMouse:false,overflowMethod:\"flip\"},tooltipOnItemUpdateTime:false,type:[\"box\",\"point\",\"range\",\"background\"],width:\"100%\",zoomable:true,zoomKey:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"],zoomMax:[31536e10,10,31536e10,1],zoomMin:[10,10,31536e10,1]}};exports.allOptions=allOptions;exports.configureOptions=configureOptions},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DOMutil=__webpack_require__(14);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Component=__webpack_require__(16);var DataAxis=__webpack_require__(107);var GraphGroup=__webpack_require__(109);var Legend=__webpack_require__(112);var Bars=__webpack_require__(110)\n;var Lines=__webpack_require__(111);var Points=__webpack_require__(72);var UNGROUPED=\"__ungrouped__\";function LineGraph(body,options){this.id=util.randomUUID();this.body=body;this.defaultOptions={yAxisOrientation:\"left\",defaultGroup:\"default\",sort:true,sampling:true,stack:false,graphHeight:\"400px\",shaded:{enabled:false,orientation:\"bottom\"},style:\"line\",barChart:{width:50,sideBySide:false,align:\"center\"},interpolation:{enabled:true,parametrization:\"centripetal\",alpha:.5},drawPoints:{enabled:true,size:6,style:\"square\"},dataAxis:{},legend:{},groups:{visibility:{}}};this.options=util.extend({},this.defaultOptions);this.dom={};this.props={};this.hammer=null;this.groups={};this.abortedGraphUpdate=false;this.updateSVGheight=false;this.updateSVGheightOnResize=false;this.forceGraphUpdate=true;var me=this;this.itemsData=null;this.groupsData=null;this.itemListeners={add:function add(event,params,senderId){me._onAdd(params.items)},update:function update(event,params,senderId){me._onUpdate(params.items)},remove:function remove(event,params,senderId){me._onRemove(params.items)}};this.groupListeners={add:function add(event,params,senderId){me._onAddGroups(params.items)},update:function update(event,params,senderId){me._onUpdateGroups(params.items)},remove:function remove(event,params,senderId){me._onRemoveGroups(params.items)}};this.items={};this.selection=[];this.lastStart=this.body.range.start;this.touchParams={};this.svgElements={};this.setOptions(options);this.groupsUsingDefaultStyles=[0];this.body.emitter.on(\"rangechanged\",function(){me.lastStart=me.body.range.start;me.svg.style.left=util.option.asSize(-me.props.width);me.forceGraphUpdate=true;me.redraw.call(me)});this._create();this.framework={svg:this.svg,svgElements:this.svgElements,options:this.options,groups:this.groups}}LineGraph.prototype=new Component;LineGraph.prototype._create=function(){var frame=document.createElement(\"div\");frame.className=\"vis-line-graph\";this.dom.frame=frame;this.svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");this.svg.style.position=\"relative\";this.svg.style.height=(\"\"+this.options.graphHeight).replace(\"px\",\"\")+\"px\";this.svg.style.display=\"block\";frame.appendChild(this.svg);this.options.dataAxis.orientation=\"left\";this.yAxisLeft=new DataAxis(this.body,this.options.dataAxis,this.svg,this.options.groups);this.options.dataAxis.orientation=\"right\";this.yAxisRight=new DataAxis(this.body,this.options.dataAxis,this.svg,this.options.groups);delete this.options.dataAxis.orientation;this.legendLeft=new Legend(this.body,this.options.legend,\"left\",this.options.groups);this.legendRight=new Legend(this.body,this.options.legend,\"right\",this.options.groups);this.show()};LineGraph.prototype.setOptions=function(options){if(options){var fields=[\"sampling\",\"defaultGroup\",\"stack\",\"height\",\"graphHeight\",\"yAxisOrientation\",\"style\",\"barChart\",\"dataAxis\",\"sort\",\"groups\"];if(options.graphHeight===undefined&&options.height!==undefined){this.updateSVGheight=true;this.updateSVGheightOnResize=true}else if(this.body.domProps.centerContainer.height!==undefined&&options.graphHeight!==undefined){if(parseInt((options.graphHeight+\"\").replace(\"px\",\"\"))<this.body.domProps.centerContainer.height){this.updateSVGheight=true}}util.selectiveDeepExtend(fields,this.options,options);util.mergeOptions(this.options,options,\"interpolation\");util.mergeOptions(this.options,options,\"drawPoints\");util.mergeOptions(this.options,options,\"shaded\");util.mergeOptions(this.options,options,\"legend\");if(options.interpolation){if((0,_typeof3[\"default\"])(options.interpolation)==\"object\"){if(options.interpolation.parametrization){if(options.interpolation.parametrization==\"uniform\"){this.options.interpolation.alpha=0}else if(options.interpolation.parametrization==\"chordal\"){this.options.interpolation.alpha=1}else{this.options.interpolation.parametrization=\"centripetal\";this.options.interpolation.alpha=.5}}}}if(this.yAxisLeft){if(options.dataAxis!==undefined){this.yAxisLeft.setOptions(this.options.dataAxis);this.yAxisRight.setOptions(this.options.dataAxis)}}if(this.legendLeft){if(options.legend!==undefined){this.legendLeft.setOptions(this.options.legend);this.legendRight.setOptions(this.options.legend)}}if(this.groups.hasOwnProperty(UNGROUPED)){this.groups[UNGROUPED].setOptions(options)}}if(this.dom.frame){this.forceGraphUpdate=true;this.body.emitter.emit(\"_change\",{queue:true})}};LineGraph.prototype.hide=function(){if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}};LineGraph.prototype.show=function(){if(!this.dom.frame.parentNode){this.body.dom.center.appendChild(this.dom.frame)}};LineGraph.prototype.setItems=function(items){var me=this,ids,oldItemsData=this.itemsData;if(!items){this.itemsData=null}else if(items instanceof DataSet||items instanceof DataView){this.itemsData=items}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(oldItemsData){util.forEach(this.itemListeners,function(callback,event){oldItemsData.off(event,callback)});ids=oldItemsData.getIds();this._onRemove(ids)}if(this.itemsData){var id=this.id;util.forEach(this.itemListeners,function(callback,event){me.itemsData.on(event,callback,id)});ids=this.itemsData.getIds();this._onAdd(ids)}};LineGraph.prototype.setGroups=function(groups){var me=this;var ids;if(this.groupsData){util.forEach(this.groupListeners,function(callback,event){me.groupsData.off(event,callback)});ids=this.groupsData.getIds();this.groupsData=null;for(var i=0;i<ids.length;i++){this._removeGroup(ids[i])}}if(!groups){this.groupsData=null}else if(groups instanceof DataSet||groups instanceof DataView){this.groupsData=groups}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(this.groupsData){var id=this.id;util.forEach(this.groupListeners,function(callback,event){me.groupsData.on(event,callback,id)});ids=this.groupsData.getIds();this._onAddGroups(ids)}};LineGraph.prototype._onUpdate=function(ids){this._updateAllGroupData(ids)};LineGraph.prototype._onAdd=function(ids){this._onUpdate(ids)};LineGraph.prototype._onRemove=function(ids){this._onUpdate(ids)};LineGraph.prototype._onUpdateGroups=function(groupIds){this._updateAllGroupData(null,groupIds)};LineGraph.prototype._onAddGroups=function(groupIds){this._onUpdateGroups(groupIds)};LineGraph.prototype._onRemoveGroups=function(groupIds){for(var i=0;i<groupIds.length;i++){this._removeGroup(groupIds[i])}this.forceGraphUpdate=true;this.body.emitter.emit(\"_change\",{queue:true})};LineGraph.prototype._removeGroup=function(groupId){if(this.groups.hasOwnProperty(groupId)){if(this.groups[groupId].options.yAxisOrientation==\"right\"){this.yAxisRight.removeGroup(groupId);this.legendRight.removeGroup(groupId);this.legendRight.redraw()}else{this.yAxisLeft.removeGroup(groupId);this.legendLeft.removeGroup(groupId);this.legendLeft.redraw()}delete this.groups[groupId]}};LineGraph.prototype._updateGroup=function(group,groupId){if(!this.groups.hasOwnProperty(groupId)){this.groups[groupId]=new GraphGroup(group,groupId,this.options,this.groupsUsingDefaultStyles);if(this.groups[groupId].options.yAxisOrientation==\"right\"){this.yAxisRight.addGroup(groupId,this.groups[groupId]);this.legendRight.addGroup(groupId,this.groups[groupId])}else{this.yAxisLeft.addGroup(groupId,this.groups[groupId]);this.legendLeft.addGroup(groupId,this.groups[groupId])}}else{this.groups[groupId].update(group);if(this.groups[groupId].options.yAxisOrientation==\"right\"){this.yAxisRight.updateGroup(groupId,this.groups[groupId]);this.legendRight.updateGroup(groupId,this.groups[groupId]);this.yAxisLeft.removeGroup(groupId);this.legendLeft.removeGroup(groupId)}else{this.yAxisLeft.updateGroup(groupId,this.groups[groupId]);this.legendLeft.updateGroup(groupId,this.groups[groupId]);this.yAxisRight.removeGroup(groupId);this.legendRight.removeGroup(groupId)}}this.legendLeft.redraw();this.legendRight.redraw()};LineGraph.prototype._updateAllGroupData=function(ids,groupIds){if(this.itemsData!=null){var groupsContent={};var items=this.itemsData.get();var fieldId=this.itemsData._fieldId;var idMap={};if(ids){ids.map(function(id){idMap[id]=id})}var groupCounts={};for(var i=0;i<items.length;i++){var item=items[i];var groupId=item.group;if(groupId===null||groupId===undefined){groupId=UNGROUPED}groupCounts.hasOwnProperty(groupId)?groupCounts[groupId]++:groupCounts[groupId]=1}var existingItemsMap={};if(!groupIds&&ids){for(groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){group=this.groups[groupId];var existing_items=group.getItems();groupsContent[groupId]=existing_items.filter(function(item){existingItemsMap[item[fieldId]]=item[fieldId];return item[fieldId]!==idMap[item[fieldId]]});var newLength=groupCounts[groupId];groupCounts[groupId]-=groupsContent[groupId].length;if(groupsContent[groupId].length<newLength){groupsContent[groupId][newLength-1]={}}}}}for(i=0;i<items.length;i++){item=items[i];groupId=item.group;if(groupId===null||groupId===undefined){groupId=UNGROUPED}if(!groupIds&&ids&&item[fieldId]!==idMap[item[fieldId]]&&existingItemsMap.hasOwnProperty(item[fieldId])){continue}if(!groupsContent.hasOwnProperty(groupId)){groupsContent[groupId]=new Array(groupCounts[groupId])}var extended=util.bridgeObject(item);extended.x=util.convert(item.x,\"Date\");extended.end=util.convert(item.end,\"Date\");extended.orginalY=item.y;extended.y=Number(item.y);extended[fieldId]=item[fieldId];var index=groupsContent[groupId].length-groupCounts[groupId]--;groupsContent[groupId][index]=extended}for(groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){if(!groupsContent.hasOwnProperty(groupId)){groupsContent[groupId]=new Array(0)}}}for(groupId in groupsContent){if(groupsContent.hasOwnProperty(groupId)){if(groupsContent[groupId].length==0){if(this.groups.hasOwnProperty(groupId)){this._removeGroup(groupId)}}else{var group=undefined;if(this.groupsData!=undefined){group=this.groupsData.get(groupId)}if(group==undefined){group={id:groupId,content:this.options.defaultGroup+groupId}}this._updateGroup(group,groupId);this.groups[groupId].setItems(groupsContent[groupId])}}}this.forceGraphUpdate=true;this.body.emitter.emit(\"_change\",{queue:true})}};LineGraph.prototype.redraw=function(){var resized=false;this.props.width=this.dom.frame.offsetWidth;this.props.height=this.body.domProps.centerContainer.height-this.body.domProps.border.top-this.body.domProps.border.bottom;resized=this._isResized()||resized;var visibleInterval=this.body.range.end-this.body.range.start;var zoomed=visibleInterval!=this.lastVisibleInterval;this.lastVisibleInterval=visibleInterval;if(resized==true){this.svg.style.width=util.option.asSize(3*this.props.width);this.svg.style.left=util.option.asSize(-this.props.width);if((this.options.height+\"\").indexOf(\"%\")!=-1||this.updateSVGheightOnResize==true){this.updateSVGheight=true}}if(this.updateSVGheight==true){if(this.options.graphHeight!=this.props.height+\"px\"){this.options.graphHeight=this.props.height+\"px\";this.svg.style.height=this.props.height+\"px\"}this.updateSVGheight=false}else{this.svg.style.height=(\"\"+this.options.graphHeight).replace(\"px\",\"\")+\"px\"}if(resized==true||zoomed==true||this.abortedGraphUpdate==true||this.forceGraphUpdate==true){resized=this._updateGraph()||resized;this.forceGraphUpdate=false}else{if(this.lastStart!=0){var offset=this.body.range.start-this.lastStart;var range=this.body.range.end-this.body.range.start;if(this.props.width!=0){var rangePerPixelInv=this.props.width/range;var xOffset=offset*rangePerPixelInv;this.svg.style.left=-this.props.width-xOffset+\"px\"}}}this.legendLeft.redraw();this.legendRight.redraw();return resized};LineGraph.prototype._getSortedGroupIds=function(){var grouplist=[];for(var groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){var group=this.groups[groupId];if(group.visible==true&&(this.options.groups.visibility[groupId]===undefined||this.options.groups.visibility[groupId]==true)){grouplist.push({id:groupId,zIndex:group.options.zIndex})}}}util.insertSort(grouplist,function(a,b){var az=a.zIndex;var bz=b.zIndex;if(az===undefined)az=0;if(bz===undefined)bz=0;return az==bz?0:az<bz?-1:1});var groupIds=new Array(grouplist.length);for(var i=0;i<grouplist.length;i++){groupIds[i]=grouplist[i].id}return groupIds};LineGraph.prototype._updateGraph=function(){DOMutil.prepareElements(this.svgElements);if(this.props.width!=0&&this.itemsData!=null){var group,i;var groupRanges={};var changeCalled=false;var minDate=this.body.util.toGlobalTime(-this.body.domProps.root.width);var maxDate=this.body.util.toGlobalTime(2*this.body.domProps.root.width);var groupIds=this._getSortedGroupIds();if(groupIds.length>0){var groupsData={};this._getRelevantData(groupIds,groupsData,minDate,maxDate);this._applySampling(groupIds,groupsData);for(i=0;i<groupIds.length;i++){this._convertXcoordinates(groupsData[groupIds[i]])}this._getYRanges(groupIds,groupsData,groupRanges);changeCalled=this._updateYAxis(groupIds,groupRanges);if(changeCalled==true){DOMutil.cleanupElements(this.svgElements);this.abortedGraphUpdate=true;return true}this.abortedGraphUpdate=false;var below=undefined;for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(this.options.stack===true&&this.options.style===\"line\"){if(group.options.excludeFromStacking==undefined||!group.options.excludeFromStacking){if(below!=undefined){this._stack(groupsData[group.id],groupsData[below.id]);if(group.options.shaded.enabled==true&&group.options.shaded.orientation!==\"group\"){if(group.options.shaded.orientation==\"top\"&&below.options.shaded.orientation!==\"group\"){below.options.shaded.orientation=\"group\";below.options.shaded.groupId=group.id}else{group.options.shaded.orientation=\"group\";group.options.shaded.groupId=below.id}}}below=group}}this._convertYcoordinates(groupsData[groupIds[i]],group)}var paths={};for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(group.options.style===\"line\"&&group.options.shaded.enabled==true){var dataset=groupsData[groupIds[i]];if(dataset==null||dataset.length==0){continue}if(!paths.hasOwnProperty(groupIds[i])){paths[groupIds[i]]=Lines.calcPath(dataset,group)}if(group.options.shaded.orientation===\"group\"){var subGroupId=group.options.shaded.groupId;if(groupIds.indexOf(subGroupId)===-1){console.log(group.id+\": Unknown shading group target given:\"+subGroupId);continue}if(!paths.hasOwnProperty(subGroupId)){paths[subGroupId]=Lines.calcPath(groupsData[subGroupId],this.groups[subGroupId])}Lines.drawShading(paths[groupIds[i]],group,paths[subGroupId],this.framework)}else{Lines.drawShading(paths[groupIds[i]],group,undefined,this.framework)}}}Bars.draw(groupIds,groupsData,this.framework);for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(groupsData[groupIds[i]].length>0){switch(group.options.style){case\"line\":if(!paths.hasOwnProperty(groupIds[i])){paths[groupIds[i]]=Lines.calcPath(groupsData[groupIds[i]],group)}Lines.draw(paths[groupIds[i]],group,this.framework);case\"point\":case\"points\":if(group.options.style==\"point\"||group.options.style==\"points\"||group.options.drawPoints.enabled==true){Points.draw(groupsData[groupIds[i]],group,this.framework)}break;case\"bar\":default:}}}}}DOMutil.cleanupElements(this.svgElements);return false};LineGraph.prototype._stack=function(data,subData){var index,dx,dy,subPrevPoint,subNextPoint;index=0;for(var j=0;j<data.length;j++){subPrevPoint=undefined;subNextPoint=undefined;for(var k=index;k<subData.length;k++){if(subData[k].x===data[j].x){subPrevPoint=subData[k];subNextPoint=subData[k];index=k;break}else if(subData[k].x>data[j].x){subNextPoint=subData[k];if(k==0){subPrevPoint=subNextPoint}else{subPrevPoint=subData[k-1]}index=k;break}}if(subNextPoint===undefined){subPrevPoint=subData[subData.length-1];subNextPoint=subData[subData.length-1]}dx=subNextPoint.x-subPrevPoint.x;dy=subNextPoint.y-subPrevPoint.y;if(dx==0){data[j].y=data[j].orginalY+subNextPoint.y}else{data[j].y=data[j].orginalY+dy/dx*(data[j].x-subPrevPoint.x)+subPrevPoint.y}}};LineGraph.prototype._getRelevantData=function(groupIds,groupsData,minDate,maxDate){var group,i,j,item;if(groupIds.length>0){for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];var itemsData=group.getItems();if(group.options.sort==true){var dateComparator=function dateComparator(a,b){return a.getTime()==b.getTime()?0:a<b?-1:1};var first=Math.max(0,util.binarySearchValue(itemsData,minDate,\"x\",\"before\",dateComparator));var last=Math.min(itemsData.length,util.binarySearchValue(itemsData,maxDate,\"x\",\"after\",dateComparator)+1);if(last<=0){last=itemsData.length}var dataContainer=new Array(last-first);for(j=first;j<last;j++){item=group.itemsData[j];dataContainer[j-first]=item}groupsData[groupIds[i]]=dataContainer}else{groupsData[groupIds[i]]=group.itemsData}}}};LineGraph.prototype._applySampling=function(groupIds,groupsData){var group;if(groupIds.length>0){for(var i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(group.options.sampling==true){var dataContainer=groupsData[groupIds[i]];if(dataContainer.length>0){var increment=1;var amountOfPoints=dataContainer.length;var xDistance=this.body.util.toGlobalScreen(dataContainer[dataContainer.length-1].x)-this.body.util.toGlobalScreen(dataContainer[0].x);var pointsPerPixel=amountOfPoints/xDistance;increment=Math.min(Math.ceil(.2*amountOfPoints),Math.max(1,Math.round(pointsPerPixel)));var sampledData=new Array(amountOfPoints);for(var j=0;j<amountOfPoints;j+=increment){var idx=Math.round(j/increment);sampledData[idx]=dataContainer[j]}groupsData[groupIds[i]]=sampledData.splice(0,Math.round(amountOfPoints/increment))}}}}};LineGraph.prototype._getYRanges=function(groupIds,groupsData,groupRanges){var groupData,group,i;var combinedDataLeft=[];var combinedDataRight=[];var options;if(groupIds.length>0){for(i=0;i<groupIds.length;i++){groupData=groupsData[groupIds[i]];options=this.groups[groupIds[i]].options;if(groupData.length>0){group=this.groups[groupIds[i]];if(options.stack===true&&options.style===\"bar\"){if(options.yAxisOrientation===\"left\"){combinedDataLeft=combinedDataLeft.concat(groupData)}else{combinedDataRight=combinedDataRight.concat(groupData)}}else{groupRanges[groupIds[i]]=group.getYRange(groupData,groupIds[i])}}}Bars.getStackedYRange(combinedDataLeft,groupRanges,groupIds,\"__barStackLeft\",\"left\");Bars.getStackedYRange(combinedDataRight,groupRanges,groupIds,\"__barStackRight\",\"right\")}};LineGraph.prototype._updateYAxis=function(groupIds,groupRanges){var resized=false;var yAxisLeftUsed=false;var yAxisRightUsed=false;var minLeft=1e9,minRight=1e9,maxLeft=-1e9,maxRight=-1e9,minVal,maxVal;if(groupIds.length>0){for(var i=0;i<groupIds.length;i++){var group=this.groups[groupIds[i]];if(group&&group.options.yAxisOrientation!=\"right\"){yAxisLeftUsed=true;minLeft=1e9;maxLeft=-1e9}else if(group&&group.options.yAxisOrientation){yAxisRightUsed=true;minRight=1e9;maxRight=-1e9}}for(i=0;i<groupIds.length;i++){if(groupRanges.hasOwnProperty(groupIds[i])){if(groupRanges[groupIds[i]].ignore!==true){minVal=groupRanges[groupIds[i]].min;maxVal=groupRanges[groupIds[i]].max;if(groupRanges[groupIds[i]].yAxisOrientation!=\"right\"){yAxisLeftUsed=true;minLeft=minLeft>minVal?minVal:minLeft;maxLeft=maxLeft<maxVal?maxVal:maxLeft}else{yAxisRightUsed=true;minRight=minRight>minVal?minVal:minRight;maxRight=maxRight<maxVal?maxVal:maxRight}}}}if(yAxisLeftUsed==true){this.yAxisLeft.setRange(minLeft,maxLeft)}if(yAxisRightUsed==true){this.yAxisRight.setRange(minRight,maxRight)}}resized=this._toggleAxisVisiblity(yAxisLeftUsed,this.yAxisLeft)||resized;resized=this._toggleAxisVisiblity(yAxisRightUsed,this.yAxisRight)||resized;if(yAxisRightUsed==true&&yAxisLeftUsed==true){this.yAxisLeft.drawIcons=true;this.yAxisRight.drawIcons=true}else{this.yAxisLeft.drawIcons=false;this.yAxisRight.drawIcons=false}this.yAxisRight.master=!yAxisLeftUsed;this.yAxisRight.masterAxis=this.yAxisLeft;if(this.yAxisRight.master==false){if(yAxisRightUsed==true){this.yAxisLeft.lineOffset=this.yAxisRight.width}else{this.yAxisLeft.lineOffset=0}resized=this.yAxisLeft.redraw()||resized;resized=this.yAxisRight.redraw()||resized}else{resized=this.yAxisRight.redraw()||resized}var tempGroups=[\"__barStackLeft\",\"__barStackRight\",\"__lineStackLeft\",\"__lineStackRight\"];for(i=0;i<tempGroups.length;i++){if(groupIds.indexOf(tempGroups[i])!=-1){groupIds.splice(groupIds.indexOf(tempGroups[i]),1)}}return resized};LineGraph.prototype._toggleAxisVisiblity=function(axisUsed,axis){var changed=false;if(axisUsed==false){if(axis.dom.frame.parentNode&&axis.hidden==false){axis.hide();changed=true}}else{if(!axis.dom.frame.parentNode&&axis.hidden==true){axis.show();changed=true}}return changed};LineGraph.prototype._convertXcoordinates=function(datapoints){var toScreen=this.body.util.toScreen;for(var i=0;i<datapoints.length;i++){datapoints[i].screen_x=toScreen(datapoints[i].x)+this.props.width;datapoints[i].screen_y=datapoints[i].y;if(datapoints[i].end!=undefined){datapoints[i].screen_end=toScreen(datapoints[i].end)+this.props.width}else{datapoints[i].screen_end=undefined}}};LineGraph.prototype._convertYcoordinates=function(datapoints,group){var axis=this.yAxisLeft;var svgHeight=Number(this.svg.style.height.replace(\"px\",\"\"));if(group.options.yAxisOrientation==\"right\"){axis=this.yAxisRight}for(var i=0;i<datapoints.length;i++){datapoints[i].screen_y=Math.round(axis.convertValue(datapoints[i].y))}group.setZeroPosition(Math.min(svgHeight,axis.convertValue(0)))};module.exports=LineGraph},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DOMutil=__webpack_require__(14);var Component=__webpack_require__(16);var DataScale=__webpack_require__(108);function DataAxis(body,options,svg,linegraphOptions){this.id=util.randomUUID();this.body=body;this.defaultOptions={orientation:\"left\",showMinorLabels:true,showMajorLabels:true,icons:false,majorLinesOffset:7,minorLinesOffset:4,labelOffsetX:10,labelOffsetY:2,iconWidth:20,width:\"40px\",visible:true,alignZeros:true,left:{range:{min:undefined,max:undefined},format:function format(value){return\"\"+parseFloat(value.toPrecision(3))},title:{text:undefined,style:undefined}},right:{range:{min:undefined,max:undefined},format:function format(value){return\"\"+parseFloat(value.toPrecision(3))},title:{text:undefined,style:undefined}}};this.linegraphOptions=linegraphOptions;this.linegraphSVG=svg;this.props={};this.DOMelements={lines:{},labels:{},title:{}};this.dom={};this.scale=undefined;this.range={start:0,end:0};this.options=util.extend({},this.defaultOptions);this.conversionFactor=1;this.setOptions(options);this.width=Number((\"\"+this.options.width).replace(\"px\",\"\"));this.minWidth=this.width;this.height=this.linegraphSVG.getBoundingClientRect().height;this.hidden=false;this.stepPixels=25;this.zeroCrossing=-1;this.amountOfSteps=-1;this.lineOffset=0;this.master=true;this.masterAxis=null;this.svgElements={};this.iconsRemoved=false;this.groups={};this.amountOfGroups=0;this._create();this.framework={svg:this.svg,svgElements:this.svgElements,options:this.options,groups:this.groups};var me=this;this.body.emitter.on(\"verticalDrag\",function(){me.dom.lineContainer.style.top=me.body.domProps.scrollTop+\"px\"})}DataAxis.prototype=new Component;DataAxis.prototype.addGroup=function(label,graphOptions){if(!this.groups.hasOwnProperty(label)){this.groups[label]=graphOptions}this.amountOfGroups+=1};DataAxis.prototype.updateGroup=function(label,graphOptions){if(!this.groups.hasOwnProperty(label)){this.amountOfGroups+=1}this.groups[label]=graphOptions};DataAxis.prototype.removeGroup=function(label){if(this.groups.hasOwnProperty(label)){delete this.groups[label];this.amountOfGroups-=1}};DataAxis.prototype.setOptions=function(options){if(options){var redraw=false;if(this.options.orientation!=options.orientation&&options.orientation!==undefined){redraw=true}var fields=[\"orientation\",\"showMinorLabels\",\"showMajorLabels\",\"icons\",\"majorLinesOffset\",\"minorLinesOffset\",\"labelOffsetX\",\"labelOffsetY\",\"iconWidth\",\"width\",\"visible\",\"left\",\"right\",\"alignZeros\"];util.selectiveDeepExtend(fields,this.options,options);this.minWidth=Number((\"\"+this.options.width).replace(\"px\",\"\"));if(redraw===true&&this.dom.frame){this.hide();this.show()}}};DataAxis.prototype._create=function(){this.dom.frame=document.createElement(\"div\");this.dom.frame.style.width=this.options.width;this.dom.frame.style.height=this.height;this.dom.lineContainer=document.createElement(\"div\");this.dom.lineContainer.style.width=\"100%\";this.dom.lineContainer.style.height=this.height;this.dom.lineContainer.style.position=\"relative\";this.svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");this.svg.style.position=\"absolute\";this.svg.style.top=\"0px\";this.svg.style.height=\"100%\";this.svg.style.width=\"100%\";this.svg.style.display=\"block\";this.dom.frame.appendChild(this.svg)};DataAxis.prototype._redrawGroupIcons=function(){DOMutil.prepareElements(this.svgElements);var x;var iconWidth=this.options.iconWidth;var iconHeight=15;var iconOffset=4;var y=iconOffset+.5*iconHeight;if(this.options.orientation===\"left\"){x=iconOffset}else{x=this.width-iconWidth-iconOffset}var groupArray=(0,_keys2[\"default\"])(this.groups);groupArray.sort(function(a,b){return a<b?-1:1});for(var i=0;i<groupArray.length;i++){var groupId=groupArray[i];if(this.groups[groupId].visible===true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]===true)){this.groups[groupId].getLegend(iconWidth,iconHeight,this.framework,x,y);y+=iconHeight+iconOffset}}DOMutil.cleanupElements(this.svgElements);this.iconsRemoved=false};DataAxis.prototype._cleanupIcons=function(){if(this.iconsRemoved===false){DOMutil.prepareElements(this.svgElements);DOMutil.cleanupElements(this.svgElements);this.iconsRemoved=true}};DataAxis.prototype.show=function(){this.hidden=false;if(!this.dom.frame.parentNode){if(this.options.orientation===\"left\"){this.body.dom.left.appendChild(this.dom.frame)}else{this.body.dom.right.appendChild(this.dom.frame)}}if(!this.dom.lineContainer.parentNode){this.body.dom.backgroundHorizontal.appendChild(this.dom.lineContainer)}};DataAxis.prototype.hide=function(){this.hidden=true;if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}if(this.dom.lineContainer.parentNode){this.dom.lineContainer.parentNode.removeChild(this.dom.lineContainer)}};DataAxis.prototype.setRange=function(start,end){this.range.start=start;this.range.end=end};DataAxis.prototype.redraw=function(){var resized=false;var activeGroups=0;this.dom.lineContainer.style.top=this.body.domProps.scrollTop+\"px\";for(var groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){if(this.groups[groupId].visible===true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]===true)){activeGroups++}}}if(this.amountOfGroups===0||activeGroups===0){this.hide()}else{this.show();this.height=Number(this.linegraphSVG.style.height.replace(\"px\",\"\"));this.dom.lineContainer.style.height=this.height+\"px\";this.width=this.options.visible===true?Number((\"\"+this.options.width).replace(\"px\",\"\")):0;var props=this.props;var frame=this.dom.frame;frame.className=\"vis-data-axis\";this._calculateCharSize();var orientation=this.options.orientation;var showMinorLabels=this.options.showMinorLabels;var showMajorLabels=this.options.showMajorLabels;props.minorLabelHeight=showMinorLabels?props.minorCharHeight:0;props.majorLabelHeight=showMajorLabels?props.majorCharHeight:0;props.minorLineWidth=this.body.dom.backgroundHorizontal.offsetWidth-this.lineOffset-this.width+2*this.options.minorLinesOffset;props.minorLineHeight=1;props.majorLineWidth=this.body.dom.backgroundHorizontal.offsetWidth-this.lineOffset-this.width+2*this.options.majorLinesOffset;props.majorLineHeight=1;if(orientation===\"left\"){frame.style.top=\"0\";frame.style.left=\"0\";frame.style.bottom=\"\";frame.style.width=this.width+\"px\";frame.style.height=this.height+\"px\";this.props.width=this.body.domProps.left.width;this.props.height=this.body.domProps.left.height}else{frame.style.top=\"\";frame.style.bottom=\"0\";frame.style.left=\"0\";frame.style.width=this.width+\"px\";frame.style.height=this.height+\"px\";this.props.width=this.body.domProps.right.width;this.props.height=this.body.domProps.right.height}resized=this._redrawLabels();resized=this._isResized()||resized;if(this.options.icons===true){this._redrawGroupIcons()}else{this._cleanupIcons()}this._redrawTitle(orientation)}return resized};DataAxis.prototype._redrawLabels=function(){var _this=this;var resized=false;DOMutil.prepareElements(this.DOMelements.lines);DOMutil.prepareElements(this.DOMelements.labels);var orientation=this.options[\"orientation\"];var customRange=this.options[orientation].range!=undefined?this.options[orientation].range:{};var autoScaleEnd=true;if(customRange.max!=undefined){this.range.end=customRange.max;autoScaleEnd=false}var autoScaleStart=true;if(customRange.min!=undefined){this.range.start=customRange.min;autoScaleStart=false}this.scale=new DataScale(this.range.start,this.range.end,autoScaleStart,autoScaleEnd,this.dom.frame.offsetHeight,this.props.majorCharHeight,this.options.alignZeros,this.options[orientation].format);if(this.master===false&&this.masterAxis!=undefined){this.scale.followScale(this.masterAxis.scale)}this.maxLabelSize=0;var lines=this.scale.getLines();lines.forEach(function(line){var y=line.y;var isMajor=line.major;if(_this.options[\"showMinorLabels\"]&&isMajor===false){_this._redrawLabel(y-2,line.val,orientation,\"vis-y-axis vis-minor\",_this.props.minorCharHeight)}if(isMajor){if(y>=0){_this._redrawLabel(y-2,line.val,orientation,\"vis-y-axis vis-major\",_this.props.majorCharHeight)}}if(_this.master===true){if(isMajor){_this._redrawLine(y,orientation,\"vis-grid vis-horizontal vis-major\",_this.options.majorLinesOffset,_this.props.majorLineWidth)}else{_this._redrawLine(y,orientation,\"vis-grid vis-horizontal vis-minor\",_this.options.minorLinesOffset,_this.props.minorLineWidth)}}});var titleWidth=0;if(this.options[orientation].title!==undefined&&this.options[orientation].title.text!==undefined){titleWidth=this.props.titleCharHeight}var offset=this.options.icons===true?Math.max(this.options.iconWidth,titleWidth)+this.options.labelOffsetX+15:titleWidth+this.options.labelOffsetX+15;if(this.maxLabelSize>this.width-offset&&this.options.visible===true){this.width=this.maxLabelSize+offset;this.options.width=this.width+\"px\";DOMutil.cleanupElements(this.DOMelements.lines);DOMutil.cleanupElements(this.DOMelements.labels);this.redraw();resized=true}else if(this.maxLabelSize<this.width-offset&&this.options.visible===true&&this.width>this.minWidth){this.width=Math.max(this.minWidth,this.maxLabelSize+offset);this.options.width=this.width+\"px\";DOMutil.cleanupElements(this.DOMelements.lines);DOMutil.cleanupElements(this.DOMelements.labels);this.redraw();resized=true}else{DOMutil.cleanupElements(this.DOMelements.lines);DOMutil.cleanupElements(this.DOMelements.labels);resized=false}return resized};DataAxis.prototype.convertValue=function(value){return this.scale.convertValue(value)};DataAxis.prototype.screenToValue=function(x){return this.scale.screenToValue(x)};DataAxis.prototype._redrawLabel=function(y,text,orientation,className,characterHeight){var label=DOMutil.getDOMElement(\"div\",this.DOMelements.labels,this.dom.frame);label.className=className;label.innerHTML=text;if(orientation===\"left\"){label.style.left=\"-\"+this.options.labelOffsetX+\"px\";label.style.textAlign=\"right\"}else{label.style.right=\"-\"+this.options.labelOffsetX+\"px\";label.style.textAlign=\"left\"}label.style.top=y-.5*characterHeight+this.options.labelOffsetY+\"px\";text+=\"\";var largestWidth=Math.max(this.props.majorCharWidth,this.props.minorCharWidth);if(this.maxLabelSize<text.length*largestWidth){this.maxLabelSize=text.length*largestWidth}};DataAxis.prototype._redrawLine=function(y,orientation,className,offset,width){if(this.master===true){\nvar line=DOMutil.getDOMElement(\"div\",this.DOMelements.lines,this.dom.lineContainer);line.className=className;line.innerHTML=\"\";if(orientation===\"left\"){line.style.left=this.width-offset+\"px\"}else{line.style.right=this.width-offset+\"px\"}line.style.width=width+\"px\";line.style.top=y+\"px\"}};DataAxis.prototype._redrawTitle=function(orientation){DOMutil.prepareElements(this.DOMelements.title);if(this.options[orientation].title!==undefined&&this.options[orientation].title.text!==undefined){var title=DOMutil.getDOMElement(\"div\",this.DOMelements.title,this.dom.frame);title.className=\"vis-y-axis vis-title vis-\"+orientation;title.innerHTML=this.options[orientation].title.text;if(this.options[orientation].title.style!==undefined){util.addCssText(title,this.options[orientation].title.style)}if(orientation===\"left\"){title.style.left=this.props.titleCharHeight+\"px\"}else{title.style.right=this.props.titleCharHeight+\"px\"}title.style.width=this.height+\"px\"}DOMutil.cleanupElements(this.DOMelements.title)};DataAxis.prototype._calculateCharSize=function(){if(!(\"minorCharHeight\"in this.props)){var textMinor=document.createTextNode(\"0\");var measureCharMinor=document.createElement(\"div\");measureCharMinor.className=\"vis-y-axis vis-minor vis-measure\";measureCharMinor.appendChild(textMinor);this.dom.frame.appendChild(measureCharMinor);this.props.minorCharHeight=measureCharMinor.clientHeight;this.props.minorCharWidth=measureCharMinor.clientWidth;this.dom.frame.removeChild(measureCharMinor)}if(!(\"majorCharHeight\"in this.props)){var textMajor=document.createTextNode(\"0\");var measureCharMajor=document.createElement(\"div\");measureCharMajor.className=\"vis-y-axis vis-major vis-measure\";measureCharMajor.appendChild(textMajor);this.dom.frame.appendChild(measureCharMajor);this.props.majorCharHeight=measureCharMajor.clientHeight;this.props.majorCharWidth=measureCharMajor.clientWidth;this.dom.frame.removeChild(measureCharMajor)}if(!(\"titleCharHeight\"in this.props)){var textTitle=document.createTextNode(\"0\");var measureCharTitle=document.createElement(\"div\");measureCharTitle.className=\"vis-y-axis vis-title vis-measure\";measureCharTitle.appendChild(textTitle);this.dom.frame.appendChild(measureCharTitle);this.props.titleCharHeight=measureCharTitle.clientHeight;this.props.titleCharWidth=measureCharTitle.clientWidth;this.dom.frame.removeChild(measureCharTitle)}};module.exports=DataAxis},function(module,exports,__webpack_require__){\"use strict\";function DataScale(start,end,autoScaleStart,autoScaleEnd,containerHeight,majorCharHeight){var zeroAlign=arguments.length>6&&arguments[6]!==undefined?arguments[6]:false;var formattingFunction=arguments.length>7&&arguments[7]!==undefined?arguments[7]:false;this.majorSteps=[1,2,5,10];this.minorSteps=[.25,.5,1,2];this.customLines=null;this.containerHeight=containerHeight;this.majorCharHeight=majorCharHeight;this._start=start;this._end=end;this.scale=1;this.minorStepIdx=-1;this.magnitudefactor=1;this.determineScale();this.zeroAlign=zeroAlign;this.autoScaleStart=autoScaleStart;this.autoScaleEnd=autoScaleEnd;this.formattingFunction=formattingFunction;if(autoScaleStart||autoScaleEnd){var me=this;var roundToMinor=function roundToMinor(value){var rounded=value-value%(me.magnitudefactor*me.minorSteps[me.minorStepIdx]);if(value%(me.magnitudefactor*me.minorSteps[me.minorStepIdx])>.5*(me.magnitudefactor*me.minorSteps[me.minorStepIdx])){return rounded+me.magnitudefactor*me.minorSteps[me.minorStepIdx]}else{return rounded}};if(autoScaleStart){this._start-=this.magnitudefactor*2*this.minorSteps[this.minorStepIdx];this._start=roundToMinor(this._start)}if(autoScaleEnd){this._end+=this.magnitudefactor*this.minorSteps[this.minorStepIdx];this._end=roundToMinor(this._end)}this.determineScale()}}DataScale.prototype.setCharHeight=function(majorCharHeight){this.majorCharHeight=majorCharHeight};DataScale.prototype.setHeight=function(containerHeight){this.containerHeight=containerHeight};DataScale.prototype.determineScale=function(){var range=this._end-this._start;this.scale=this.containerHeight/range;var minimumStepValue=this.majorCharHeight/this.scale;var orderOfMagnitude=range>0?Math.round(Math.log(range)/Math.LN10):0;this.minorStepIdx=-1;this.magnitudefactor=Math.pow(10,orderOfMagnitude);var start=0;if(orderOfMagnitude<0){start=orderOfMagnitude}var solutionFound=false;for(var l=start;Math.abs(l)<=Math.abs(orderOfMagnitude);l++){this.magnitudefactor=Math.pow(10,l);for(var j=0;j<this.minorSteps.length;j++){var stepSize=this.magnitudefactor*this.minorSteps[j];if(stepSize>=minimumStepValue){solutionFound=true;this.minorStepIdx=j;break}}if(solutionFound===true){break}}};DataScale.prototype.is_major=function(value){return value%(this.magnitudefactor*this.majorSteps[this.minorStepIdx])===0};DataScale.prototype.getStep=function(){return this.magnitudefactor*this.minorSteps[this.minorStepIdx]};DataScale.prototype.getFirstMajor=function(){var majorStep=this.magnitudefactor*this.majorSteps[this.minorStepIdx];return this.convertValue(this._start+(majorStep-this._start%majorStep)%majorStep)};DataScale.prototype.formatValue=function(current){var returnValue=current.toPrecision(5);if(typeof this.formattingFunction===\"function\"){returnValue=this.formattingFunction(current)}if(typeof returnValue===\"number\"){return\"\"+returnValue}else if(typeof returnValue===\"string\"){return returnValue}else{return current.toPrecision(5)}};DataScale.prototype.getLines=function(){var lines=[];var step=this.getStep();var bottomOffset=(step-this._start%step)%step;for(var i=this._start+bottomOffset;this._end-i>1e-5;i+=step){if(i!=this._start){lines.push({major:this.is_major(i),y:this.convertValue(i),val:this.formatValue(i)})}}return lines};DataScale.prototype.followScale=function(other){var oldStepIdx=this.minorStepIdx;var oldStart=this._start;var oldEnd=this._end;var me=this;var increaseMagnitude=function increaseMagnitude(){me.magnitudefactor*=2};var decreaseMagnitude=function decreaseMagnitude(){me.magnitudefactor/=2};if(other.minorStepIdx<=1&&this.minorStepIdx<=1||other.minorStepIdx>1&&this.minorStepIdx>1){}else if(other.minorStepIdx<this.minorStepIdx){this.minorStepIdx=1;if(oldStepIdx==2){increaseMagnitude()}else{increaseMagnitude();increaseMagnitude()}}else{this.minorStepIdx=2;if(oldStepIdx==1){decreaseMagnitude()}else{decreaseMagnitude();decreaseMagnitude()}}var otherZero=other.convertValue(0);var otherStep=other.getStep()*other.scale;var done=false;var count=0;while(!done&&count++<5){this.scale=otherStep/(this.minorSteps[this.minorStepIdx]*this.magnitudefactor);var newRange=this.containerHeight/this.scale;this._start=oldStart;this._end=this._start+newRange;var myOriginalZero=this._end*this.scale;var majorStep=this.magnitudefactor*this.majorSteps[this.minorStepIdx];var majorOffset=this.getFirstMajor()-other.getFirstMajor();if(this.zeroAlign){var zeroOffset=otherZero-myOriginalZero;this._end+=zeroOffset/this.scale;this._start=this._end-newRange}else{if(!this.autoScaleStart){this._start+=majorStep-majorOffset/this.scale;this._end=this._start+newRange}else{this._start-=majorOffset/this.scale;this._end=this._start+newRange}}if(!this.autoScaleEnd&&this._end>oldEnd+1e-5){decreaseMagnitude();done=false;continue}if(!this.autoScaleStart&&this._start<oldStart-1e-5){if(this.zeroAlign&&oldStart>=0){console.warn(\"Can't adhere to given 'min' range, due to zeroalign\")}else{decreaseMagnitude();done=false;continue}}if(this.autoScaleStart&&this.autoScaleEnd&&newRange<oldEnd-oldStart){increaseMagnitude();done=false;continue}done=true}};DataScale.prototype.convertValue=function(value){return this.containerHeight-(value-this._start)*this.scale};DataScale.prototype.screenToValue=function(pixels){return(this.containerHeight-pixels)/this.scale+this._start};module.exports=DataScale},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Bars=__webpack_require__(110);var Lines=__webpack_require__(111);var Points=__webpack_require__(72);function GraphGroup(group,groupId,options,groupsUsingDefaultStyles){this.id=groupId;var fields=[\"sampling\",\"style\",\"sort\",\"yAxisOrientation\",\"barChart\",\"drawPoints\",\"shaded\",\"interpolation\",\"zIndex\",\"excludeFromStacking\",\"excludeFromLegend\"];this.options=util.selectiveBridgeObject(fields,options);this.usingDefaultStyle=group.className===undefined;this.groupsUsingDefaultStyles=groupsUsingDefaultStyles;this.zeroPosition=0;this.update(group);if(this.usingDefaultStyle==true){this.groupsUsingDefaultStyles[0]+=1}this.itemsData=[];this.visible=group.visible===undefined?true:group.visible}GraphGroup.prototype.setItems=function(items){if(items!=null){this.itemsData=items;if(this.options.sort==true){util.insertSort(this.itemsData,function(a,b){return a.x>b.x?1:-1})}}else{this.itemsData=[]}};GraphGroup.prototype.getItems=function(){return this.itemsData};GraphGroup.prototype.setZeroPosition=function(pos){this.zeroPosition=pos};GraphGroup.prototype.setOptions=function(options){if(options!==undefined){var fields=[\"sampling\",\"style\",\"sort\",\"yAxisOrientation\",\"barChart\",\"zIndex\",\"excludeFromStacking\",\"excludeFromLegend\"];util.selectiveDeepExtend(fields,this.options,options);if(typeof options.drawPoints==\"function\"){options.drawPoints={onRender:options.drawPoints}}util.mergeOptions(this.options,options,\"interpolation\");util.mergeOptions(this.options,options,\"drawPoints\");util.mergeOptions(this.options,options,\"shaded\");if(options.interpolation){if((0,_typeof3[\"default\"])(options.interpolation)==\"object\"){if(options.interpolation.parametrization){if(options.interpolation.parametrization==\"uniform\"){this.options.interpolation.alpha=0}else if(options.interpolation.parametrization==\"chordal\"){this.options.interpolation.alpha=1}else{this.options.interpolation.parametrization=\"centripetal\";this.options.interpolation.alpha=.5}}}}}};GraphGroup.prototype.update=function(group){this.group=group;this.content=group.content||\"graph\";this.className=group.className||this.className||\"vis-graph-group\"+this.groupsUsingDefaultStyles[0]%10;this.visible=group.visible===undefined?true:group.visible;this.style=group.style;this.setOptions(group.options)};GraphGroup.prototype.getLegend=function(iconWidth,iconHeight,framework,x,y){if(framework==undefined||framework==null){var svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");framework={svg:svg,svgElements:{},options:this.options,groups:[this]}}if(x==undefined||x==null){x=0}if(y==undefined||y==null){y=.5*iconHeight}switch(this.options.style){case\"line\":Lines.drawIcon(this,x,y,iconWidth,iconHeight,framework);break;case\"points\":case\"point\":Points.drawIcon(this,x,y,iconWidth,iconHeight,framework);break;case\"bar\":Bars.drawIcon(this,x,y,iconWidth,iconHeight,framework);break}return{icon:framework.svg,label:this.content,orientation:this.options.yAxisOrientation}};GraphGroup.prototype.getYRange=function(groupData){var yMin=groupData[0].y;var yMax=groupData[0].y;for(var j=0;j<groupData.length;j++){yMin=yMin>groupData[j].y?groupData[j].y:yMin;yMax=yMax<groupData[j].y?groupData[j].y:yMax}return{min:yMin,max:yMax,yAxisOrientation:this.options.yAxisOrientation}};module.exports=GraphGroup},function(module,exports,__webpack_require__){\"use strict\";var DOMutil=__webpack_require__(14);var Points=__webpack_require__(72);function Bargraph(groupId,options){}Bargraph.drawIcon=function(group,x,y,iconWidth,iconHeight,framework){var fillHeight=iconHeight*.5;var outline=DOMutil.getSVGElement(\"rect\",framework.svgElements,framework.svg);outline.setAttributeNS(null,\"x\",x);outline.setAttributeNS(null,\"y\",y-fillHeight);outline.setAttributeNS(null,\"width\",iconWidth);outline.setAttributeNS(null,\"height\",2*fillHeight);outline.setAttributeNS(null,\"class\",\"vis-outline\");var barWidth=Math.round(.3*iconWidth);var originalWidth=group.options.barChart.width;var scale=originalWidth/barWidth;var bar1Height=Math.round(.4*iconHeight);var bar2Height=Math.round(.75*iconHeight);var offset=Math.round((iconWidth-2*barWidth)/3);DOMutil.drawBar(x+.5*barWidth+offset,y+fillHeight-bar1Height-1,barWidth,bar1Height,group.className+\" vis-bar\",framework.svgElements,framework.svg,group.style);DOMutil.drawBar(x+1.5*barWidth+offset+2,y+fillHeight-bar2Height-1,barWidth,bar2Height,group.className+\" vis-bar\",framework.svgElements,framework.svg,group.style);if(group.options.drawPoints.enabled==true){var groupTemplate={style:group.options.drawPoints.style,styles:group.options.drawPoints.styles,size:group.options.drawPoints.size/scale,className:group.className};DOMutil.drawPoint(x+.5*barWidth+offset,y+fillHeight-bar1Height-1,groupTemplate,framework.svgElements,framework.svg);DOMutil.drawPoint(x+1.5*barWidth+offset+2,y+fillHeight-bar2Height-1,groupTemplate,framework.svgElements,framework.svg)}};Bargraph.draw=function(groupIds,processedGroupData,framework){var combinedData=[];var intersections={};var coreDistance;var key,drawData;var group;var i,j;var barPoints=0;for(i=0;i<groupIds.length;i++){group=framework.groups[groupIds[i]];if(group.options.style===\"bar\"){if(group.visible===true&&(framework.options.groups.visibility[groupIds[i]]===undefined||framework.options.groups.visibility[groupIds[i]]===true)){for(j=0;j<processedGroupData[groupIds[i]].length;j++){combinedData.push({screen_x:processedGroupData[groupIds[i]][j].screen_x,screen_end:processedGroupData[groupIds[i]][j].screen_end,screen_y:processedGroupData[groupIds[i]][j].screen_y,x:processedGroupData[groupIds[i]][j].x,end:processedGroupData[groupIds[i]][j].end,y:processedGroupData[groupIds[i]][j].y,groupId:groupIds[i],label:processedGroupData[groupIds[i]][j].label});barPoints+=1}}}}if(barPoints===0){return}combinedData.sort(function(a,b){if(a.screen_x===b.screen_x){return a.groupId<b.groupId?-1:1}else{return a.screen_x-b.screen_x}});Bargraph._getDataIntersections(intersections,combinedData);for(i=0;i<combinedData.length;i++){group=framework.groups[combinedData[i].groupId];var minWidth=group.options.barChart.minWidth!=undefined?group.options.barChart.minWidth:.1*group.options.barChart.width;key=combinedData[i].screen_x;var heightOffset=0;if(intersections[key]===undefined){if(i+1<combinedData.length){coreDistance=Math.abs(combinedData[i+1].screen_x-key)}drawData=Bargraph._getSafeDrawData(coreDistance,group,minWidth)}else{var nextKey=i+(intersections[key].amount-intersections[key].resolved);if(nextKey<combinedData.length){coreDistance=Math.abs(combinedData[nextKey].screen_x-key)}drawData=Bargraph._getSafeDrawData(coreDistance,group,minWidth);intersections[key].resolved+=1;if(group.options.stack===true&&group.options.excludeFromStacking!==true){if(combinedData[i].screen_y<group.zeroPosition){heightOffset=intersections[key].accumulatedNegative;intersections[key].accumulatedNegative+=group.zeroPosition-combinedData[i].screen_y}else{heightOffset=intersections[key].accumulatedPositive;intersections[key].accumulatedPositive+=group.zeroPosition-combinedData[i].screen_y}}else if(group.options.barChart.sideBySide===true){drawData.width=drawData.width/intersections[key].amount;drawData.offset+=intersections[key].resolved*drawData.width-.5*drawData.width*(intersections[key].amount+1)}}var dataWidth=drawData.width;var start=combinedData[i].screen_x;if(combinedData[i].screen_end!=undefined){dataWidth=combinedData[i].screen_end-combinedData[i].screen_x;start+=dataWidth*.5}else{start+=drawData.offset}DOMutil.drawBar(start,combinedData[i].screen_y-heightOffset,dataWidth,group.zeroPosition-combinedData[i].screen_y,group.className+\" vis-bar\",framework.svgElements,framework.svg,group.style);if(group.options.drawPoints.enabled===true){var pointData={screen_x:combinedData[i].screen_x,screen_y:combinedData[i].screen_y-heightOffset,x:combinedData[i].x,y:combinedData[i].y,groupId:combinedData[i].groupId,label:combinedData[i].label};Points.draw([pointData],group,framework,drawData.offset)}}};Bargraph._getDataIntersections=function(intersections,combinedData){var coreDistance;for(var i=0;i<combinedData.length;i++){if(i+1<combinedData.length){coreDistance=Math.abs(combinedData[i+1].screen_x-combinedData[i].screen_x)}if(i>0){coreDistance=Math.min(coreDistance,Math.abs(combinedData[i-1].screen_x-combinedData[i].screen_x))}if(coreDistance===0){if(intersections[combinedData[i].screen_x]===undefined){intersections[combinedData[i].screen_x]={amount:0,resolved:0,accumulatedPositive:0,accumulatedNegative:0}}intersections[combinedData[i].screen_x].amount+=1}}};Bargraph._getSafeDrawData=function(coreDistance,group,minWidth){var width,offset;if(coreDistance<group.options.barChart.width&&coreDistance>0){width=coreDistance<minWidth?minWidth:coreDistance;offset=0;if(group.options.barChart.align===\"left\"){offset-=.5*coreDistance}else if(group.options.barChart.align===\"right\"){offset+=.5*coreDistance}}else{width=group.options.barChart.width;offset=0;if(group.options.barChart.align===\"left\"){offset-=.5*group.options.barChart.width}else if(group.options.barChart.align===\"right\"){offset+=.5*group.options.barChart.width}}return{width:width,offset:offset}};Bargraph.getStackedYRange=function(combinedData,groupRanges,groupIds,groupLabel,orientation){if(combinedData.length>0){combinedData.sort(function(a,b){if(a.screen_x===b.screen_x){return a.groupId<b.groupId?-1:1}else{return a.screen_x-b.screen_x}});var intersections={};Bargraph._getDataIntersections(intersections,combinedData);groupRanges[groupLabel]=Bargraph._getStackedYRange(intersections,combinedData);groupRanges[groupLabel].yAxisOrientation=orientation;groupIds.push(groupLabel)}};Bargraph._getStackedYRange=function(intersections,combinedData){var key;var yMin=combinedData[0].screen_y;var yMax=combinedData[0].screen_y;for(var i=0;i<combinedData.length;i++){key=combinedData[i].screen_x;if(intersections[key]===undefined){yMin=yMin>combinedData[i].screen_y?combinedData[i].screen_y:yMin;yMax=yMax<combinedData[i].screen_y?combinedData[i].screen_y:yMax}else{if(combinedData[i].screen_y<0){intersections[key].accumulatedNegative+=combinedData[i].screen_y}else{intersections[key].accumulatedPositive+=combinedData[i].screen_y}}}for(var xpos in intersections){if(intersections.hasOwnProperty(xpos)){yMin=yMin>intersections[xpos].accumulatedNegative?intersections[xpos].accumulatedNegative:yMin;yMin=yMin>intersections[xpos].accumulatedPositive?intersections[xpos].accumulatedPositive:yMin;yMax=yMax<intersections[xpos].accumulatedNegative?intersections[xpos].accumulatedNegative:yMax;yMax=yMax<intersections[xpos].accumulatedPositive?intersections[xpos].accumulatedPositive:yMax}}return{min:yMin,max:yMax}};module.exports=Bargraph},function(module,exports,__webpack_require__){\"use strict\";var DOMutil=__webpack_require__(14);function Line(groupId,options){}Line.calcPath=function(dataset,group){if(dataset!=null){if(dataset.length>0){var d=[];if(group.options.interpolation.enabled==true){d=Line._catmullRom(dataset,group)}else{d=Line._linear(dataset)}return d}}};Line.drawIcon=function(group,x,y,iconWidth,iconHeight,framework){var fillHeight=iconHeight*.5;var path,fillPath;var outline=DOMutil.getSVGElement(\"rect\",framework.svgElements,framework.svg);outline.setAttributeNS(null,\"x\",x);outline.setAttributeNS(null,\"y\",y-fillHeight);outline.setAttributeNS(null,\"width\",iconWidth);outline.setAttributeNS(null,\"height\",2*fillHeight);outline.setAttributeNS(null,\"class\",\"vis-outline\");path=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);path.setAttributeNS(null,\"class\",group.className);if(group.style!==undefined){path.setAttributeNS(null,\"style\",group.style)}path.setAttributeNS(null,\"d\",\"M\"+x+\",\"+y+\" L\"+(x+iconWidth)+\",\"+y+\"\");if(group.options.shaded.enabled==true){fillPath=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);if(group.options.shaded.orientation==\"top\"){fillPath.setAttributeNS(null,\"d\",\"M\"+x+\", \"+(y-fillHeight)+\"L\"+x+\",\"+y+\" L\"+(x+iconWidth)+\",\"+y+\" L\"+(x+iconWidth)+\",\"+(y-fillHeight))}else{fillPath.setAttributeNS(null,\"d\",\"M\"+x+\",\"+y+\" \"+\"L\"+x+\",\"+(y+fillHeight)+\" \"+\"L\"+(x+iconWidth)+\",\"+(y+fillHeight)+\"L\"+(x+iconWidth)+\",\"+y)}fillPath.setAttributeNS(null,\"class\",group.className+\" vis-icon-fill\");if(group.options.shaded.style!==undefined&&group.options.shaded.style!==\"\"){fillPath.setAttributeNS(null,\"style\",group.options.shaded.style)}}if(group.options.drawPoints.enabled==true){var groupTemplate={style:group.options.drawPoints.style,styles:group.options.drawPoints.styles,size:group.options.drawPoints.size,className:group.className};DOMutil.drawPoint(x+.5*iconWidth,y,groupTemplate,framework.svgElements,framework.svg)}};Line.drawShading=function(pathArray,group,subPathArray,framework){if(group.options.shaded.enabled==true){var svgHeight=Number(framework.svg.style.height.replace(\"px\",\"\"));var fillPath=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);var type=\"L\";if(group.options.interpolation.enabled==true){type=\"C\"}var dFill;var zero=0;if(group.options.shaded.orientation==\"top\"){zero=0}else if(group.options.shaded.orientation==\"bottom\"){zero=svgHeight}else{zero=Math.min(Math.max(0,group.zeroPosition),svgHeight)}if(group.options.shaded.orientation==\"group\"&&subPathArray!=null&&subPathArray!=undefined){dFill=\"M\"+pathArray[0][0]+\",\"+pathArray[0][1]+\" \"+this.serializePath(pathArray,type,false)+\" L\"+subPathArray[subPathArray.length-1][0]+\",\"+subPathArray[subPathArray.length-1][1]+\" \"+this.serializePath(subPathArray,type,true)+subPathArray[0][0]+\",\"+subPathArray[0][1]+\" Z\"}else{dFill=\"M\"+pathArray[0][0]+\",\"+pathArray[0][1]+\" \"+this.serializePath(pathArray,type,false)+\" V\"+zero+\" H\"+pathArray[0][0]+\" Z\"}fillPath.setAttributeNS(null,\"class\",group.className+\" vis-fill\");if(group.options.shaded.style!==undefined){fillPath.setAttributeNS(null,\"style\",group.options.shaded.style)}fillPath.setAttributeNS(null,\"d\",dFill)}};Line.draw=function(pathArray,group,framework){if(pathArray!=null&&pathArray!=undefined){var path=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);path.setAttributeNS(null,\"class\",group.className);if(group.style!==undefined){path.setAttributeNS(null,\"style\",group.style)}var type=\"L\";if(group.options.interpolation.enabled==true){type=\"C\"}path.setAttributeNS(null,\"d\",\"M\"+pathArray[0][0]+\",\"+pathArray[0][1]+\" \"+this.serializePath(pathArray,type,false))}};Line.serializePath=function(pathArray,type,inverse){if(pathArray.length<2){return\"\"}var d=type;var i;if(inverse){for(i=pathArray.length-2;i>0;i--){d+=pathArray[i][0]+\",\"+pathArray[i][1]+\" \"}}else{for(i=1;i<pathArray.length;i++){d+=pathArray[i][0]+\",\"+pathArray[i][1]+\" \"}}return d};Line._catmullRomUniform=function(data){var p0,p1,p2,p3,bp1,bp2;var d=[];d.push([Math.round(data[0].screen_x),Math.round(data[0].screen_y)]);var normalization=1/6;var length=data.length;for(var i=0;i<length-1;i++){p0=i==0?data[0]:data[i-1];p1=data[i];p2=data[i+1];p3=i+2<length?data[i+2]:p2;bp1={screen_x:(-p0.screen_x+6*p1.screen_x+p2.screen_x)*normalization,screen_y:(-p0.screen_y+6*p1.screen_y+p2.screen_y)*normalization};bp2={screen_x:(p1.screen_x+6*p2.screen_x-p3.screen_x)*normalization,screen_y:(p1.screen_y+6*p2.screen_y-p3.screen_y)*normalization};d.push([bp1.screen_x,bp1.screen_y]);d.push([bp2.screen_x,bp2.screen_y]);d.push([p2.screen_x,p2.screen_y])}return d};Line._catmullRom=function(data,group){var alpha=group.options.interpolation.alpha;if(alpha==0||alpha===undefined){return this._catmullRomUniform(data)}else{var p0,p1,p2,p3,bp1,bp2,d1,d2,d3,A,B,N,M;var d3powA,d2powA,d3pow2A,d2pow2A,d1pow2A,d1powA;var d=[];d.push([Math.round(data[0].screen_x),Math.round(data[0].screen_y)]);var length=data.length;for(var i=0;i<length-1;i++){p0=i==0?data[0]:data[i-1];p1=data[i];p2=data[i+1];p3=i+2<length?data[i+2]:p2;d1=Math.sqrt(Math.pow(p0.screen_x-p1.screen_x,2)+Math.pow(p0.screen_y-p1.screen_y,2));d2=Math.sqrt(Math.pow(p1.screen_x-p2.screen_x,2)+Math.pow(p1.screen_y-p2.screen_y,2));d3=Math.sqrt(Math.pow(p2.screen_x-p3.screen_x,2)+Math.pow(p2.screen_y-p3.screen_y,2));d3powA=Math.pow(d3,alpha);d3pow2A=Math.pow(d3,2*alpha);d2powA=Math.pow(d2,alpha);d2pow2A=Math.pow(d2,2*alpha);d1powA=Math.pow(d1,alpha);d1pow2A=Math.pow(d1,2*alpha);A=2*d1pow2A+3*d1powA*d2powA+d2pow2A;B=2*d3pow2A+3*d3powA*d2powA+d2pow2A;N=3*d1powA*(d1powA+d2powA);if(N>0){N=1/N}M=3*d3powA*(d3powA+d2powA);if(M>0){M=1/M}bp1={screen_x:(-d2pow2A*p0.screen_x+A*p1.screen_x+d1pow2A*p2.screen_x)*N,screen_y:(-d2pow2A*p0.screen_y+A*p1.screen_y+d1pow2A*p2.screen_y)*N};bp2={screen_x:(d3pow2A*p1.screen_x+B*p2.screen_x-d2pow2A*p3.screen_x)*M,screen_y:(d3pow2A*p1.screen_y+B*p2.screen_y-d2pow2A*p3.screen_y)*M};if(bp1.screen_x==0&&bp1.screen_y==0){bp1=p1}if(bp2.screen_x==0&&bp2.screen_y==0){bp2=p2}d.push([bp1.screen_x,bp1.screen_y]);d.push([bp2.screen_x,bp2.screen_y]);d.push([p2.screen_x,p2.screen_y])}return d}};Line._linear=function(data){var d=[];for(var i=0;i<data.length;i++){d.push([data[i].screen_x,data[i].screen_y])}return d};module.exports=Line},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DOMutil=__webpack_require__(14);var Component=__webpack_require__(16);function Legend(body,options,side,linegraphOptions){this.body=body;this.defaultOptions={enabled:false,icons:true,iconSize:20,iconSpacing:6,left:{visible:true,position:\"top-left\"},right:{visible:true,position:\"top-right\"}};this.side=side;this.options=util.extend({},this.defaultOptions);this.linegraphOptions=linegraphOptions;this.svgElements={};this.dom={};this.groups={};this.amountOfGroups=0;this._create();this.framework={svg:this.svg,svgElements:this.svgElements,options:this.options,groups:this.groups};this.setOptions(options)}Legend.prototype=new Component;Legend.prototype.clear=function(){this.groups={};this.amountOfGroups=0};Legend.prototype.addGroup=function(label,graphOptions){if(graphOptions.options.excludeFromLegend!=true){if(!this.groups.hasOwnProperty(label)){this.groups[label]=graphOptions}this.amountOfGroups+=1}};Legend.prototype.updateGroup=function(label,graphOptions){this.groups[label]=graphOptions};Legend.prototype.removeGroup=function(label){if(this.groups.hasOwnProperty(label)){delete this.groups[label];this.amountOfGroups-=1}};Legend.prototype._create=function(){this.dom.frame=document.createElement(\"div\");this.dom.frame.className=\"vis-legend\";this.dom.frame.style.position=\"absolute\";this.dom.frame.style.top=\"10px\";this.dom.frame.style.display=\"block\";this.dom.textArea=document.createElement(\"div\");this.dom.textArea.className=\"vis-legend-text\";this.dom.textArea.style.position=\"relative\";this.dom.textArea.style.top=\"0px\";this.svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");this.svg.style.position=\"absolute\";this.svg.style.top=0+\"px\";this.svg.style.width=this.options.iconSize+5+\"px\";this.svg.style.height=\"100%\";this.dom.frame.appendChild(this.svg);this.dom.frame.appendChild(this.dom.textArea)};Legend.prototype.hide=function(){if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}};Legend.prototype.show=function(){if(!this.dom.frame.parentNode){this.body.dom.center.appendChild(this.dom.frame)}};Legend.prototype.setOptions=function(options){var fields=[\"enabled\",\"orientation\",\"icons\",\"left\",\"right\"];util.selectiveDeepExtend(fields,this.options,options)};Legend.prototype.redraw=function(){var activeGroups=0;var groupArray=(0,_keys2[\"default\"])(this.groups);groupArray.sort(function(a,b){return a<b?-1:1});for(var i=0;i<groupArray.length;i++){var groupId=groupArray[i];if(this.groups[groupId].visible==true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]==true)){activeGroups++}}if(this.options[this.side].visible==false||this.amountOfGroups==0||this.options.enabled==false||activeGroups==0){this.hide()}else{this.show();if(this.options[this.side].position==\"top-left\"||this.options[this.side].position==\"bottom-left\"){this.dom.frame.style.left=\"4px\";this.dom.frame.style.textAlign=\"left\";this.dom.textArea.style.textAlign=\"left\";this.dom.textArea.style.left=this.options.iconSize+15+\"px\";this.dom.textArea.style.right=\"\";this.svg.style.left=0+\"px\";this.svg.style.right=\"\"}else{this.dom.frame.style.right=\"4px\";this.dom.frame.style.textAlign=\"right\";this.dom.textArea.style.textAlign=\"right\";this.dom.textArea.style.right=this.options.iconSize+15+\"px\";this.dom.textArea.style.left=\"\";this.svg.style.right=0+\"px\";this.svg.style.left=\"\"}if(this.options[this.side].position==\"top-left\"||this.options[this.side].position==\"top-right\"){this.dom.frame.style.top=4-Number(this.body.dom.center.style.top.replace(\"px\",\"\"))+\"px\";this.dom.frame.style.bottom=\"\"}else{var scrollableHeight=this.body.domProps.center.height-this.body.domProps.centerContainer.height;this.dom.frame.style.bottom=4+scrollableHeight+Number(this.body.dom.center.style.top.replace(\"px\",\"\"))+\"px\";this.dom.frame.style.top=\"\"}if(this.options.icons==false){this.dom.frame.style.width=this.dom.textArea.offsetWidth+10+\"px\";this.dom.textArea.style.right=\"\";this.dom.textArea.style.left=\"\";this.svg.style.width=\"0px\"}else{this.dom.frame.style.width=this.options.iconSize+15+this.dom.textArea.offsetWidth+10+\"px\";this.drawLegendIcons()}var content=\"\";for(i=0;i<groupArray.length;i++){groupId=groupArray[i];if(this.groups[groupId].visible==true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]==true)){content+=this.groups[groupId].content+\"<br />\"}}this.dom.textArea.innerHTML=content;this.dom.textArea.style.lineHeight=.75*this.options.iconSize+this.options.iconSpacing+\"px\"}};Legend.prototype.drawLegendIcons=function(){if(this.dom.frame.parentNode){var groupArray=(0,_keys2[\"default\"])(this.groups);groupArray.sort(function(a,b){return a<b?-1:1});DOMutil.resetElements(this.svgElements);var padding=window.getComputedStyle(this.dom.frame).paddingTop;var iconOffset=Number(padding.replace(\"px\",\"\"));var x=iconOffset;var iconWidth=this.options.iconSize;var iconHeight=.75*this.options.iconSize;var y=iconOffset+.5*iconHeight+3;this.svg.style.width=iconWidth+5+iconOffset+\"px\";for(var i=0;i<groupArray.length;i++){var groupId=groupArray[i];if(this.groups[groupId].visible==true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]==true)){this.groups[groupId].getLegend(iconWidth,iconHeight,this.framework,x,y);y+=iconHeight+this.options.iconSpacing}}}};module.exports=Legend},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var array=\"array\";var date=\"date\";var object=\"object\";var dom=\"dom\";var moment=\"moment\";var any=\"any\";var allOptions={configure:{enabled:{boolean:bool},filter:{boolean:bool,function:\"function\"},container:{dom:dom},__type__:{object:object,boolean:bool,function:\"function\"}},yAxisOrientation:{string:[\"left\",\"right\"]},defaultGroup:{string:string},sort:{boolean:bool},sampling:{boolean:bool},stack:{boolean:bool},graphHeight:{string:string,number:number},shaded:{enabled:{boolean:bool},orientation:{string:[\"bottom\",\"top\",\"zero\",\"group\"]},groupId:{object:object},__type__:{boolean:bool,object:object}},style:{string:[\"line\",\"bar\",\"points\"]},barChart:{width:{number:number},minWidth:{number:number},sideBySide:{boolean:bool},align:{string:[\"left\",\"center\",\"right\"]},__type__:{object:object}},interpolation:{enabled:{boolean:bool},parametrization:{string:[\"centripetal\",\"chordal\",\"uniform\"]},alpha:{number:number},__type__:{object:object,boolean:bool}},drawPoints:{enabled:{boolean:bool},onRender:{function:\"function\"},size:{number:number},style:{string:[\"square\",\"circle\"]},__type__:{object:object,boolean:bool,function:\"function\"}},dataAxis:{showMinorLabels:{boolean:bool},showMajorLabels:{boolean:bool},icons:{boolean:bool},width:{string:string,number:number},visible:{boolean:bool},alignZeros:{boolean:bool},left:{range:{min:{\nnumber:number,undefined:\"undefined\"},max:{number:number,undefined:\"undefined\"},__type__:{object:object}},format:{function:\"function\"},title:{text:{string:string,number:number,undefined:\"undefined\"},style:{string:string,undefined:\"undefined\"},__type__:{object:object}},__type__:{object:object}},right:{range:{min:{number:number,undefined:\"undefined\"},max:{number:number,undefined:\"undefined\"},__type__:{object:object}},format:{function:\"function\"},title:{text:{string:string,number:number,undefined:\"undefined\"},style:{string:string,undefined:\"undefined\"},__type__:{object:object}},__type__:{object:object}},__type__:{object:object}},legend:{enabled:{boolean:bool},icons:{boolean:bool},left:{visible:{boolean:bool},position:{string:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]},__type__:{object:object}},right:{visible:{boolean:bool},position:{string:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]},__type__:{object:object}},__type__:{object:object,boolean:bool}},groups:{visibility:{any:any},__type__:{object:object}},autoResize:{boolean:bool},throttleRedraw:{number:number},clickToUse:{boolean:bool},end:{number:number,date:date,string:string,moment:moment},format:{minorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object}},majorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object}},__type__:{object:object}},moment:{function:\"function\"},height:{string:string,number:number},hiddenDates:{start:{date:date,number:number,string:string,moment:moment},end:{date:date,number:number,string:string,moment:moment},repeat:{string:string},__type__:{object:object,array:array}},locale:{string:string},locales:{__any__:{any:any},__type__:{object:object}},max:{date:date,number:number,string:string,moment:moment},maxHeight:{number:number,string:string},maxMinorChars:{number:number},min:{date:date,number:number,string:string,moment:moment},minHeight:{number:number,string:string},moveable:{boolean:bool},multiselect:{boolean:bool},orientation:{string:string},showCurrentTime:{boolean:bool},showMajorLabels:{boolean:bool},showMinorLabels:{boolean:bool},start:{date:date,number:number,string:string,moment:moment},timeAxis:{scale:{string:string,undefined:\"undefined\"},step:{number:number,undefined:\"undefined\"},__type__:{object:object}},width:{string:string,number:number},zoomable:{boolean:bool},zoomKey:{string:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"]},zoomMax:{number:number},zoomMin:{number:number},zIndex:{number:number},__type__:{object:object}};var configureOptions={global:{sort:true,sampling:true,stack:false,shaded:{enabled:false,orientation:[\"zero\",\"top\",\"bottom\",\"group\"]},style:[\"line\",\"bar\",\"points\"],barChart:{width:[50,5,100,5],minWidth:[50,5,100,5],sideBySide:false,align:[\"left\",\"center\",\"right\"]},interpolation:{enabled:true,parametrization:[\"centripetal\",\"chordal\",\"uniform\"]},drawPoints:{enabled:true,size:[6,2,30,1],style:[\"square\",\"circle\"]},dataAxis:{showMinorLabels:true,showMajorLabels:true,icons:false,width:[40,0,200,1],visible:true,alignZeros:true,left:{title:{text:\"\",style:\"\"}},right:{title:{text:\"\",style:\"\"}}},legend:{enabled:false,icons:true,left:{visible:true,position:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]},right:{visible:true,position:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]}},autoResize:true,clickToUse:false,end:\"\",format:{minorLabels:{millisecond:\"SSS\",second:\"s\",minute:\"HH:mm\",hour:\"HH:mm\",weekday:\"ddd D\",day:\"D\",month:\"MMM\",year:\"YYYY\"},majorLabels:{millisecond:\"HH:mm:ss\",second:\"D MMMM HH:mm\",minute:\"ddd D MMMM\",hour:\"ddd D MMMM\",weekday:\"MMMM YYYY\",day:\"MMMM YYYY\",month:\"YYYY\",year:\"\"}},height:\"\",locale:\"\",max:\"\",maxHeight:\"\",maxMinorChars:[7,0,20,1],min:\"\",minHeight:\"\",moveable:true,orientation:[\"both\",\"bottom\",\"top\"],showCurrentTime:false,showMajorLabels:true,showMinorLabels:true,start:\"\",width:\"100%\",zoomable:true,zoomKey:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"],zoomMax:[31536e10,10,31536e10,1],zoomMin:[10,10,31536e10,1],zIndex:0}};exports.allOptions=allOptions;exports.configureOptions=configureOptions},function(module,exports,__webpack_require__){\"use strict\";var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}function parseDOT(data){dot=data;return parseGraph()}var NODE_ATTR_MAPPING={fontsize:\"font.size\",fontcolor:\"font.color\",labelfontcolor:\"font.color\",fontname:\"font.face\",color:[\"color.border\",\"color.background\"],fillcolor:\"color.background\",tooltip:\"title\",labeltooltip:\"title\"};var EDGE_ATTR_MAPPING=(0,_create2[\"default\"])(NODE_ATTR_MAPPING);EDGE_ATTR_MAPPING.color=\"color.color\";EDGE_ATTR_MAPPING.style=\"dashes\";var TOKENTYPE={NULL:0,DELIMITER:1,IDENTIFIER:2,UNKNOWN:3};var DELIMITERS={\"{\":true,\"}\":true,\"[\":true,\"]\":true,\";\":true,\"=\":true,\",\":true,\"->\":true,\"--\":true};var dot=\"\";var index=0;var c=\"\";var token=\"\";var tokenType=TOKENTYPE.NULL;function first(){index=0;c=dot.charAt(0)}function next(){index++;c=dot.charAt(index)}function nextPreview(){return dot.charAt(index+1)}var regexAlphaNumeric=/[a-zA-Z_0-9.:#]/;function isAlphaNumeric(c){return regexAlphaNumeric.test(c)}function merge(a,b){if(!a){a={}}if(b){for(var name in b){if(b.hasOwnProperty(name)){a[name]=b[name]}}}return a}function setValue(obj,path,value){var keys=path.split(\".\");var o=obj;while(keys.length){var key=keys.shift();if(keys.length){if(!o[key]){o[key]={}}o=o[key]}else{o[key]=value}}}function addNode(graph,node){var i,len;var current=null;var graphs=[graph];var root=graph;while(root.parent){graphs.push(root.parent);root=root.parent}if(root.nodes){for(i=0,len=root.nodes.length;i<len;i++){if(node.id===root.nodes[i].id){current=root.nodes[i];break}}}if(!current){current={id:node.id};if(graph.node){current.attr=merge(current.attr,graph.node)}}for(i=graphs.length-1;i>=0;i--){var g=graphs[i];if(!g.nodes){g.nodes=[]}if(g.nodes.indexOf(current)===-1){g.nodes.push(current)}}if(node.attr){current.attr=merge(current.attr,node.attr)}}function addEdge(graph,edge){if(!graph.edges){graph.edges=[]}graph.edges.push(edge);if(graph.edge){var attr=merge({},graph.edge);edge.attr=merge(attr,edge.attr)}}function createEdge(graph,from,to,type,attr){var edge={from:from,to:to,type:type};if(graph.edge){edge.attr=merge({},graph.edge)}edge.attr=merge(edge.attr||{},attr);return edge}function getToken(){tokenType=TOKENTYPE.NULL;token=\"\";while(c===\" \"||c===\"\\t\"||c===\"\\n\"||c===\"\\r\"){next()}do{var isComment=false;if(c===\"#\"){var i=index-1;while(dot.charAt(i)===\" \"||dot.charAt(i)===\"\\t\"){i--}if(dot.charAt(i)===\"\\n\"||dot.charAt(i)===\"\"){while(c!=\"\"&&c!=\"\\n\"){next()}isComment=true}}if(c===\"/\"&&nextPreview()===\"/\"){while(c!=\"\"&&c!=\"\\n\"){next()}isComment=true}if(c===\"/\"&&nextPreview()===\"*\"){while(c!=\"\"){if(c===\"*\"&&nextPreview()===\"/\"){next();next();break}else{next()}}isComment=true}while(c===\" \"||c===\"\\t\"||c===\"\\n\"||c===\"\\r\"){next()}}while(isComment);if(c===\"\"){tokenType=TOKENTYPE.DELIMITER;return}var c2=c+nextPreview();if(DELIMITERS[c2]){tokenType=TOKENTYPE.DELIMITER;token=c2;next();next();return}if(DELIMITERS[c]){tokenType=TOKENTYPE.DELIMITER;token=c;next();return}if(isAlphaNumeric(c)||c===\"-\"){token+=c;next();while(isAlphaNumeric(c)){token+=c;next()}if(token===\"false\"){token=false}else if(token===\"true\"){token=true}else if(!isNaN(Number(token))){token=Number(token)}tokenType=TOKENTYPE.IDENTIFIER;return}if(c==='\"'){next();while(c!=\"\"&&(c!='\"'||c==='\"'&&nextPreview()==='\"')){if(c==='\"'){token+=c;next()}else if(c===\"\\\\\"&&nextPreview()===\"n\"){token+=\"\\n\";next()}else{token+=c}next()}if(c!='\"'){throw newSyntaxError('End of string \" expected')}next();tokenType=TOKENTYPE.IDENTIFIER;return}tokenType=TOKENTYPE.UNKNOWN;while(c!=\"\"){token+=c;next()}throw new SyntaxError('Syntax error in part \"'+chop(token,30)+'\"')}function parseGraph(){var graph={};first();getToken();if(token===\"strict\"){graph.strict=true;getToken()}if(token===\"graph\"||token===\"digraph\"){graph.type=token;getToken()}if(tokenType===TOKENTYPE.IDENTIFIER){graph.id=token;getToken()}if(token!=\"{\"){throw newSyntaxError(\"Angle bracket { expected\")}getToken();parseStatements(graph);if(token!=\"}\"){throw newSyntaxError(\"Angle bracket } expected\")}getToken();if(token!==\"\"){throw newSyntaxError(\"End of file expected\")}getToken();delete graph.node;delete graph.edge;delete graph.graph;return graph}function parseStatements(graph){while(token!==\"\"&&token!=\"}\"){parseStatement(graph);if(token===\";\"){getToken()}}}function parseStatement(graph){var subgraph=parseSubgraph(graph);if(subgraph){parseEdge(graph,subgraph);return}var attr=parseAttributeStatement(graph);if(attr){return}if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Identifier expected\")}var id=token;getToken();if(token===\"=\"){getToken();if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Identifier expected\")}graph[id]=token;getToken()}else{parseNodeStatement(graph,id)}}function parseSubgraph(graph){var subgraph=null;if(token===\"subgraph\"){subgraph={};subgraph.type=\"subgraph\";getToken();if(tokenType===TOKENTYPE.IDENTIFIER){subgraph.id=token;getToken()}}if(token===\"{\"){getToken();if(!subgraph){subgraph={}}subgraph.parent=graph;subgraph.node=graph.node;subgraph.edge=graph.edge;subgraph.graph=graph.graph;parseStatements(subgraph);if(token!=\"}\"){throw newSyntaxError(\"Angle bracket } expected\")}getToken();delete subgraph.node;delete subgraph.edge;delete subgraph.graph;delete subgraph.parent;if(!graph.subgraphs){graph.subgraphs=[]}graph.subgraphs.push(subgraph)}return subgraph}function parseAttributeStatement(graph){if(token===\"node\"){getToken();graph.node=parseAttributeList();return\"node\"}else if(token===\"edge\"){getToken();graph.edge=parseAttributeList();return\"edge\"}else if(token===\"graph\"){getToken();graph.graph=parseAttributeList();return\"graph\"}return null}function parseNodeStatement(graph,id){var node={id:id};var attr=parseAttributeList();if(attr){node.attr=attr}addNode(graph,node);parseEdge(graph,id)}function parseEdge(graph,from){while(token===\"->\"||token===\"--\"){var to;var type=token;getToken();var subgraph=parseSubgraph(graph);if(subgraph){to=subgraph}else{if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Identifier or subgraph expected\")}to=token;addNode(graph,{id:to});getToken()}var attr=parseAttributeList();var edge=createEdge(graph,from,to,type,attr);addEdge(graph,edge);from=to}}function parseAttributeList(){var attr=null;var edgeStyles={dashed:true,solid:false,dotted:[1,5]};while(token===\"[\"){getToken();attr={};while(token!==\"\"&&token!=\"]\"){if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Attribute name expected\")}var name=token;getToken();if(token!=\"=\"){throw newSyntaxError(\"Equal sign = expected\")}getToken();if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Attribute value expected\")}var value=token;if(name===\"style\"){value=edgeStyles[value]}setValue(attr,name,value);getToken();if(token==\",\"){getToken()}}if(token!=\"]\"){throw newSyntaxError(\"Bracket ] expected\")}getToken()}return attr}function newSyntaxError(message){return new SyntaxError(message+', got \"'+chop(token,30)+'\" (char '+index+\")\")}function chop(text,maxLength){return text.length<=maxLength?text:text.substr(0,27)+\"...\"}function forEach2(array1,array2,fn){if(Array.isArray(array1)){array1.forEach(function(elem1){if(Array.isArray(array2)){array2.forEach(function(elem2){fn(elem1,elem2)})}else{fn(elem1,array2)}})}else{if(Array.isArray(array2)){array2.forEach(function(elem2){fn(array1,elem2)})}else{fn(array1,array2)}}}function setProp(object,path,value){var names=path.split(\".\");var prop=names.pop();var obj=object;for(var i=0;i<names.length;i++){var name=names[i];if(!(name in obj)){obj[name]={}}obj=obj[name]}obj[prop]=value;return object}function convertAttr(attr,mapping){var converted={};for(var prop in attr){if(attr.hasOwnProperty(prop)){var visProp=mapping[prop];if(Array.isArray(visProp)){visProp.forEach(function(visPropI){setProp(converted,visPropI,attr[prop])})}else if(typeof visProp===\"string\"){setProp(converted,visProp,attr[prop])}else{setProp(converted,prop,attr[prop])}}}return converted}function DOTToGraph(data){var dotData=parseDOT(data);var graphData={nodes:[],edges:[],options:{}};if(dotData.nodes){dotData.nodes.forEach(function(dotNode){var graphNode={id:dotNode.id,label:String(dotNode.label||dotNode.id)};merge(graphNode,convertAttr(dotNode.attr,NODE_ATTR_MAPPING));if(graphNode.image){graphNode.shape=\"image\"}graphData.nodes.push(graphNode)})}if(dotData.edges){var convertEdge=function convertEdge(dotEdge){var graphEdge={from:dotEdge.from,to:dotEdge.to};merge(graphEdge,convertAttr(dotEdge.attr,EDGE_ATTR_MAPPING));graphEdge.arrows=dotEdge.type===\"->\"?\"to\":undefined;return graphEdge};dotData.edges.forEach(function(dotEdge){var from,to;if(dotEdge.from instanceof Object){from=dotEdge.from.nodes}else{from={id:dotEdge.from}}if(dotEdge.to instanceof Object){to=dotEdge.to.nodes}else{to={id:dotEdge.to}}if(dotEdge.from instanceof Object&&dotEdge.from.edges){dotEdge.from.edges.forEach(function(subEdge){var graphEdge=convertEdge(subEdge);graphData.edges.push(graphEdge)})}forEach2(from,to,function(from,to){var subEdge=createEdge(graphData,from.id,to.id,dotEdge.type,dotEdge.attr);var graphEdge=convertEdge(subEdge);graphData.edges.push(graphEdge)});if(dotEdge.to instanceof Object&&dotEdge.to.edges){dotEdge.to.edges.forEach(function(subEdge){var graphEdge=convertEdge(subEdge);graphData.edges.push(graphEdge)})}})}if(dotData.attr){graphData.options=dotData.attr}return graphData}exports.parseDOT=parseDOT;exports.DOTToGraph=DOTToGraph},function(module,exports,__webpack_require__){\"use strict\";function parseGephi(gephiJSON,optionsObj){var edges=[];var nodes=[];var options={edges:{inheritColor:false},nodes:{fixed:false,parseColor:false}};if(optionsObj!==undefined){if(optionsObj.fixed!==undefined){options.nodes.fixed=optionsObj.fixed}if(optionsObj.parseColor!==undefined){options.nodes.parseColor=optionsObj.parseColor}if(optionsObj.inheritColor!==undefined){options.edges.inheritColor=optionsObj.inheritColor}}var gEdges=gephiJSON.edges;var gNodes=gephiJSON.nodes;for(var i=0;i<gEdges.length;i++){var edge={};var gEdge=gEdges[i];edge[\"id\"]=gEdge.id;edge[\"from\"]=gEdge.source;edge[\"to\"]=gEdge.target;edge[\"attributes\"]=gEdge.attributes;edge[\"label\"]=gEdge.label;edge[\"title\"]=gEdge.attributes!==undefined?gEdge.attributes.title:undefined;if(gEdge[\"type\"]===\"Directed\"){edge[\"arrows\"]=\"to\"}if(gEdge.color&&options.inheritColor===false){edge[\"color\"]=gEdge.color}edges.push(edge)}for(var j=0;j<gNodes.length;j++){var node={};var gNode=gNodes[j];node[\"id\"]=gNode.id;node[\"attributes\"]=gNode.attributes;node[\"x\"]=gNode.x;node[\"y\"]=gNode.y;node[\"label\"]=gNode.label;node[\"title\"]=gNode.attributes!==undefined?gNode.attributes.title:gNode.title;if(options.nodes.parseColor===true){node[\"color\"]=gNode.color}else{node[\"color\"]=gNode.color!==undefined?{background:gNode.color,border:gNode.color,highlight:{background:gNode.color,border:gNode.color},hover:{background:gNode.color,border:gNode.color}}:undefined}node[\"size\"]=gNode.size;node[\"fixed\"]=options.nodes.fixed&&gNode.x!==undefined&&gNode.y!==undefined;nodes.push(node)}return{nodes:nodes,edges:edges}}exports.parseGephi=parseGephi},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _CachedImage=__webpack_require__(185);var _CachedImage2=_interopRequireDefault(_CachedImage);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Images=function(){function Images(callback){(0,_classCallCheck3[\"default\"])(this,Images);this.images={};this.imageBroken={};this.callback=callback}(0,_createClass3[\"default\"])(Images,[{key:\"_tryloadBrokenUrl\",value:function _tryloadBrokenUrl(url,brokenUrl,imageToLoadBrokenUrlOn){if(url===undefined||imageToLoadBrokenUrlOn===undefined)return;if(brokenUrl===undefined){console.warn(\"No broken url image defined\");return}imageToLoadBrokenUrlOn.onerror=function(){console.error(\"Could not load brokenImage:\",brokenUrl)};imageToLoadBrokenUrlOn.image.src=brokenUrl}},{key:\"_redrawWithImage\",value:function _redrawWithImage(imageToRedrawWith){if(this.callback){this.callback(imageToRedrawWith)}}},{key:\"load\",value:function load(url,brokenUrl){var _this=this;var cachedImage=this.images[url];if(cachedImage)return cachedImage;var img=new _CachedImage2[\"default\"];this.images[url]=img;img.image.onload=function(){_this._fixImageCoordinates(img.image);img.init();_this._redrawWithImage(img)};img.image.onerror=function(){console.error(\"Could not load image:\",url);_this._tryloadBrokenUrl(url,brokenUrl,img)};img.image.src=url;return img}},{key:\"_fixImageCoordinates\",value:function _fixImageCoordinates(imageToCache){if(imageToCache.width===0){document.body.appendChild(imageToCache);imageToCache.width=imageToCache.offsetWidth;imageToCache.height=imageToCache.offsetHeight;document.body.removeChild(imageToCache)}}}]);return Images}();exports[\"default\"]=Images},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var ComponentUtil=__webpack_require__(48)[\"default\"];var LabelSplitter=__webpack_require__(191)[\"default\"];var multiFontStyle=[\"bold\",\"ital\",\"boldital\",\"mono\"];var Label=function(){function Label(body,options){var edgelabel=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;(0,_classCallCheck3[\"default\"])(this,Label);this.body=body;this.pointToSelf=false;this.baseSize=undefined;this.fontOptions={};this.setOptions(options);this.size={top:0,left:0,width:0,height:0,yLine:0};this.isEdgeLabel=edgelabel}(0,_createClass3[\"default\"])(Label,[{key:\"setOptions\",value:function setOptions(options){this.elementOptions=options;this.initFontOptions(options.font);if(ComponentUtil.isValidLabel(options.label)){this.labelDirty=true}else{options.label=\"\"}if(options.font!==undefined&&options.font!==null){if(typeof options.font===\"string\"){this.baseSize=this.fontOptions.size}else if((0,_typeof3[\"default\"])(options.font)===\"object\"){var size=options.font.size;if(size!==undefined){this.baseSize=size}}}}},{key:\"initFontOptions\",value:function initFontOptions(newFontOptions){var _this=this;util.forEach(multiFontStyle,function(style){_this.fontOptions[style]={}});if(Label.parseFontString(this.fontOptions,newFontOptions)){this.fontOptions.vadjust=0;return}util.forEach(newFontOptions,function(prop,n){if(prop!==undefined&&prop!==null&&(typeof prop===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(prop))!==\"object\"){_this.fontOptions[n]=prop}})}},{key:\"constrain\",value:function constrain(pile){var fontOptions={constrainWidth:false,maxWdt:-1,minWdt:-1,constrainHeight:false,minHgt:-1,valign:\"middle\"};var widthConstraint=util.topMost(pile,\"widthConstraint\");if(typeof widthConstraint===\"number\"){fontOptions.maxWdt=Number(widthConstraint);fontOptions.minWdt=Number(widthConstraint)}else if((typeof widthConstraint===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(widthConstraint))===\"object\"){var widthConstraintMaximum=util.topMost(pile,[\"widthConstraint\",\"maximum\"]);if(typeof widthConstraintMaximum===\"number\"){fontOptions.maxWdt=Number(widthConstraintMaximum)}var widthConstraintMinimum=util.topMost(pile,[\"widthConstraint\",\"minimum\"]);if(typeof widthConstraintMinimum===\"number\"){fontOptions.minWdt=Number(widthConstraintMinimum)}}var heightConstraint=util.topMost(pile,\"heightConstraint\");if(typeof heightConstraint===\"number\"){fontOptions.minHgt=Number(heightConstraint)}else if((typeof heightConstraint===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(heightConstraint))===\"object\"){var heightConstraintMinimum=util.topMost(pile,[\"heightConstraint\",\"minimum\"]);if(typeof heightConstraintMinimum===\"number\"){fontOptions.minHgt=Number(heightConstraintMinimum)}var heightConstraintValign=util.topMost(pile,[\"heightConstraint\",\"valign\"]);if(typeof heightConstraintValign===\"string\"){if(heightConstraintValign===\"top\"||heightConstraintValign===\"bottom\"){fontOptions.valign=heightConstraintValign}}}return fontOptions}},{key:\"update\",value:function update(options,pile){this.setOptions(options,true);this.propagateFonts(pile);util.deepExtend(this.fontOptions,this.constrain(pile));this.fontOptions.chooser=ComponentUtil.choosify(\"label\",pile)}},{key:\"adjustSizes\",value:function adjustSizes(margins){var widthBias=margins?margins.right+margins.left:0;if(this.fontOptions.constrainWidth){this.fontOptions.maxWdt-=widthBias;this.fontOptions.minWdt-=widthBias}var heightBias=margins?margins.top+margins.bottom:0;if(this.fontOptions.constrainHeight){this.fontOptions.minHgt-=heightBias}}},{key:\"addFontOptionsToPile\",value:function addFontOptionsToPile(dstPile,srcPile){for(var i=0;i<srcPile.length;++i){this.addFontToPile(dstPile,srcPile[i])}}},{key:\"addFontToPile\",value:function addFontToPile(pile,options){if(options===undefined)return;if(options.font===undefined||options.font===null)return;var item=options.font;pile.push(item)}},{key:\"getBasicOptions\",value:function getBasicOptions(pile){var ret={};for(var n=0;n<pile.length;++n){var fontOptions=pile[n];var tmpShorthand={};if(Label.parseFontString(tmpShorthand,fontOptions)){fontOptions=tmpShorthand}util.forEach(fontOptions,function(opt,name){if(opt===undefined)return;if(ret.hasOwnProperty(name))return;if(multiFontStyle.indexOf(name)!==-1){ret[name]={}}else{ret[name]=opt}})}return ret}},{key:\"getFontOption\",value:function getFontOption(pile,multiName,option){var multiFont=void 0;for(var n=0;n<pile.length;++n){var fontOptions=pile[n];if(fontOptions.hasOwnProperty(multiName)){multiFont=fontOptions[multiName];if(multiFont===undefined||multiFont===null)continue;var tmpShorthand={};if(Label.parseFontString(tmpShorthand,multiFont)){multiFont=tmpShorthand}if(multiFont.hasOwnProperty(option)){return multiFont[option]}}}if(this.fontOptions.hasOwnProperty(option)){return this.fontOptions[option]}throw new Error(\"Did not find value for multi-font for property: '\"+option+\"'\")}},{key:\"getFontOptions\",value:function getFontOptions(pile,multiName){var result={};var optionNames=[\"color\",\"size\",\"face\",\"mod\",\"vadjust\"];for(var i=0;i<optionNames.length;++i){var mod=optionNames[i];result[mod]=this.getFontOption(pile,multiName,mod)}return result}},{key:\"propagateFonts\",value:function propagateFonts(pile){var _this2=this;var fontPile=[];this.addFontOptionsToPile(fontPile,pile);this.fontOptions=this.getBasicOptions(fontPile);var _loop=function _loop(i){var mod=multiFontStyle[i];var modOptions=_this2.fontOptions[mod];var tmpMultiFontOptions=_this2.getFontOptions(fontPile,mod);util.forEach(tmpMultiFontOptions,function(option,n){modOptions[n]=option});modOptions.size=Number(modOptions.size);modOptions.vadjust=Number(modOptions.vadjust)};for(var i=0;i<multiFontStyle.length;++i){_loop(i)}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover){var baseline=arguments.length>5&&arguments[5]!==undefined?arguments[5]:\"middle\";if(this.elementOptions.label===undefined)return;var viewFontSize=this.fontOptions.size*this.body.view.scale;if(this.elementOptions.label&&viewFontSize<this.elementOptions.scaling.label.drawThreshold-1)return;if(viewFontSize>=this.elementOptions.scaling.label.maxVisible){viewFontSize=Number(this.elementOptions.scaling.label.maxVisible)/this.body.view.scale}this.calculateLabelSize(ctx,selected,hover,x,y,baseline);this._drawBackground(ctx);this._drawText(ctx,x,this.size.yLine,baseline,viewFontSize)}},{key:\"_drawBackground\",value:function _drawBackground(ctx){if(this.fontOptions.background!==undefined&&this.fontOptions.background!==\"none\"){ctx.fillStyle=this.fontOptions.background;var size=this.getSize();ctx.fillRect(size.left,size.top,size.width,size.height)}}},{key:\"_drawText\",value:function _drawText(ctx,x,y){var baseline=arguments.length>3&&arguments[3]!==undefined?arguments[3]:\"middle\";var viewFontSize=arguments[4];var _setAlignment2=this._setAlignment(ctx,x,y,baseline);var _setAlignment3=(0,_slicedToArray3[\"default\"])(_setAlignment2,2);x=_setAlignment3[0];y=_setAlignment3[1];ctx.textAlign=\"left\";x=x-this.size.width/2;if(this.fontOptions.valign&&this.size.height>this.size.labelHeight){if(this.fontOptions.valign===\"top\"){y-=(this.size.height-this.size.labelHeight)/2}if(this.fontOptions.valign===\"bottom\"){y+=(this.size.height-this.size.labelHeight)/2}}for(var i=0;i<this.lineCount;i++){var line=this.lines[i];if(line&&line.blocks){var width=0;if(this.isEdgeLabel||this.fontOptions.align===\"center\"){width+=(this.size.width-line.width)/2}else if(this.fontOptions.align===\"right\"){width+=this.size.width-line.width}for(var j=0;j<line.blocks.length;j++){var block=line.blocks[j];ctx.font=block.font;var _getColor2=this._getColor(block.color,viewFontSize,block.strokeColor),_getColor3=(0,_slicedToArray3[\"default\"])(_getColor2,2),fontColor=_getColor3[0],strokeColor=_getColor3[1];if(block.strokeWidth>0){ctx.lineWidth=block.strokeWidth;ctx.strokeStyle=strokeColor;ctx.lineJoin=\"round\"}ctx.fillStyle=fontColor;if(block.strokeWidth>0){ctx.strokeText(block.text,x+width,y+block.vadjust)}ctx.fillText(block.text,x+width,y+block.vadjust);width+=block.width}y+=line.height}}}},{key:\"_setAlignment\",value:function _setAlignment(ctx,x,y,baseline){if(this.isEdgeLabel&&this.fontOptions.align!==\"horizontal\"&&this.pointToSelf===false){x=0;y=0;var lineMargin=2;if(this.fontOptions.align===\"top\"){ctx.textBaseline=\"alphabetic\";y-=2*lineMargin}else if(this.fontOptions.align===\"bottom\"){ctx.textBaseline=\"hanging\";y+=2*lineMargin}else{ctx.textBaseline=\"middle\"}}else{ctx.textBaseline=baseline}return[x,y]}},{key:\"_getColor\",value:function _getColor(color,viewFontSize,initialStrokeColor){var fontColor=color||\"#000000\";var strokeColor=initialStrokeColor||\"#ffffff\";if(viewFontSize<=this.elementOptions.scaling.label.drawThreshold){var opacity=Math.max(0,Math.min(1,1-(this.elementOptions.scaling.label.drawThreshold-viewFontSize)));fontColor=util.overrideOpacity(fontColor,opacity);strokeColor=util.overrideOpacity(strokeColor,opacity)}return[fontColor,strokeColor]}},{key:\"getTextSize\",value:function getTextSize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;this._processLabel(ctx,selected,hover);return{width:this.size.width,height:this.size.height,lineCount:this.lineCount}}},{key:\"getSize\",value:function getSize(){var lineMargin=2;var x=this.size.left;var y=this.size.top-.5*lineMargin;if(this.isEdgeLabel){var x2=-this.size.width*.5;switch(this.fontOptions.align){case\"middle\":x=x2;y=-this.size.height*.5;break;case\"top\":x=x2;y=-(this.size.height+lineMargin);break;case\"bottom\":x=x2;y=lineMargin;break}}var ret={left:x,top:y,width:this.size.width,height:this.size.height};return ret}},{key:\"calculateLabelSize\",value:function calculateLabelSize(ctx,selected,hover){var x=arguments.length>3&&arguments[3]!==undefined?arguments[3]:0;var y=arguments.length>4&&arguments[4]!==undefined?arguments[4]:0;var baseline=arguments.length>5&&arguments[5]!==undefined?arguments[5]:\"middle\";this._processLabel(ctx,selected,hover);this.size.left=x-this.size.width*.5;this.size.top=y-this.size.height*.5;this.size.yLine=y+(1-this.lineCount)*.5*this.fontOptions.size;if(baseline===\"hanging\"){this.size.top+=.5*this.fontOptions.size;this.size.top+=4;this.size.yLine+=4}}},{key:\"getFormattingValues\",value:function getFormattingValues(ctx,selected,hover,mod){var getValue=function getValue(fontOptions,mod,option){if(mod===\"normal\"){if(option===\"mod\")return\"\";return fontOptions[option]}if(fontOptions[mod][option]!==undefined){return fontOptions[mod][option]}else{return fontOptions[option]}};var values={color:getValue(this.fontOptions,mod,\"color\"),size:getValue(this.fontOptions,mod,\"size\"),face:getValue(this.fontOptions,mod,\"face\"),mod:getValue(this.fontOptions,mod,\"mod\"),vadjust:getValue(this.fontOptions,mod,\"vadjust\"),strokeWidth:this.fontOptions.strokeWidth,strokeColor:this.fontOptions.strokeColor};if(selected||hover){if(mod===\"normal\"&&this.fontOptions.chooser===true&&this.elementOptions.labelHighlightBold){values.mod=\"bold\"}else{if(typeof this.fontOptions.chooser===\"function\"){this.fontOptions.chooser(values,this.elementOptions.id,selected,hover)}}}var fontString=\"\";if(values.mod!==undefined&&values.mod!==\"\"){fontString+=values.mod+\" \"}fontString+=values.size+\"px \"+values.face;ctx.font=fontString.replace(/\"/g,\"\");values.font=ctx.font;values.height=values.size;return values}},{key:\"differentState\",value:function differentState(selected,hover){return selected!==this.selectedState||hover!==this.hoverState}},{key:\"_processLabelText\",value:function _processLabelText(ctx,selected,hover,inText){var splitter=new LabelSplitter(ctx,this,selected,hover);return splitter.process(inText)}},{key:\"_processLabel\",value:function _processLabel(ctx,selected,hover){if(this.labelDirty===false&&!this.differentState(selected,hover))return;var state=this._processLabelText(ctx,selected,hover,this.elementOptions.label);if(this.fontOptions.minWdt>0&&state.width<this.fontOptions.minWdt){state.width=this.fontOptions.minWdt}this.size.labelHeight=state.height;if(this.fontOptions.minHgt>0&&state.height<this.fontOptions.minHgt){state.height=this.fontOptions.minHgt}this.lines=state.lines;this.lineCount=state.lines.length;this.size.width=state.width;this.size.height=state.height;this.selectedState=selected;this.hoverState=hover;this.labelDirty=false}},{key:\"visible\",value:function visible(){if(this.size.width===0||this.size.height===0||this.elementOptions.label===undefined){return false}var viewFontSize=this.fontOptions.size*this.body.view.scale;if(viewFontSize<this.elementOptions.scaling.label.drawThreshold-1){return false}return true}}],[{key:\"parseFontString\",value:function parseFontString(outOptions,inOptions){if(!inOptions||typeof inOptions!==\"string\")return false;var newOptionsArray=inOptions.split(\" \");outOptions.size=newOptionsArray[0].replace(\"px\",\"\");outOptions.face=newOptionsArray[1];outOptions.color=newOptionsArray[2];return true}}]);return Label}();exports[\"default\"]=Label},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var EndPoints=__webpack_require__(119)[\"default\"];var EdgeBase=function(){function EdgeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,EdgeBase);this.body=body;this.labelModule=labelModule\n;this.options={};this.setOptions(options);this.colorDirty=true;this.color={};this.selectionWidth=2;this.hoverWidth=1.5;this.fromPoint=this.from;this.toPoint=this.to}(0,_createClass3[\"default\"])(EdgeBase,[{key:\"connect\",value:function connect(){this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to]}},{key:\"cleanup\",value:function cleanup(){return false}},{key:\"setOptions\",value:function setOptions(options){this.options=options;this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to];this.id=this.options.id}},{key:\"drawLine\",value:function drawLine(ctx,values,selected,hover,viaNode){ctx.strokeStyle=this.getColor(ctx,values,selected,hover);ctx.lineWidth=values.width;if(values.dashes!==false){this._drawDashedLine(ctx,values,viaNode)}else{this._drawLine(ctx,values,viaNode)}}},{key:\"_drawLine\",value:function _drawLine(ctx,values,viaNode,fromPoint,toPoint){if(this.from!=this.to){this._line(ctx,values,viaNode,fromPoint,toPoint)}else{var _getCircleData2=this._getCircleData(ctx),_getCircleData3=(0,_slicedToArray3[\"default\"])(_getCircleData2,3),x=_getCircleData3[0],y=_getCircleData3[1],radius=_getCircleData3[2];this._circle(ctx,values,x,y,radius)}}},{key:\"_drawDashedLine\",value:function _drawDashedLine(ctx,values,viaNode,fromPoint,toPoint){ctx.lineCap=\"round\";var pattern=[5,5];if(Array.isArray(values.dashes)===true){pattern=values.dashes}if(ctx.setLineDash!==undefined){ctx.save();ctx.setLineDash(pattern);ctx.lineDashOffset=0;if(this.from!=this.to){this._line(ctx,values,viaNode)}else{var _getCircleData4=this._getCircleData(ctx),_getCircleData5=(0,_slicedToArray3[\"default\"])(_getCircleData4,3),x=_getCircleData5[0],y=_getCircleData5[1],radius=_getCircleData5[2];this._circle(ctx,values,x,y,radius)}ctx.setLineDash([0]);ctx.lineDashOffset=0;ctx.restore()}else{if(this.from!=this.to){ctx.dashedLine(this.from.x,this.from.y,this.to.x,this.to.y,pattern)}else{var _getCircleData6=this._getCircleData(ctx),_getCircleData7=(0,_slicedToArray3[\"default\"])(_getCircleData6,3),_x=_getCircleData7[0],_y=_getCircleData7[1],_radius=_getCircleData7[2];this._circle(ctx,values,_x,_y,_radius)}this.enableShadow(ctx,values);ctx.stroke();this.disableShadow(ctx,values)}}},{key:\"findBorderPosition\",value:function findBorderPosition(nearNode,ctx,options){if(this.from!=this.to){return this._findBorderPosition(nearNode,ctx,options)}else{return this._findBorderPositionCircle(nearNode,ctx,options)}}},{key:\"findBorderPositions\",value:function findBorderPositions(ctx){var from={};var to={};if(this.from!=this.to){from=this._findBorderPosition(this.from,ctx);to=this._findBorderPosition(this.to,ctx)}else{var _getCircleData$slice=this._getCircleData(ctx).slice(0,2),_getCircleData$slice2=(0,_slicedToArray3[\"default\"])(_getCircleData$slice,2),x=_getCircleData$slice2[0],y=_getCircleData$slice2[1];from=this._findBorderPositionCircle(this.from,ctx,{x:x,y:y,low:.25,high:.6,direction:-1});to=this._findBorderPositionCircle(this.from,ctx,{x:x,y:y,low:.6,high:.8,direction:1})}return{from:from,to:to}}},{key:\"_getCircleData\",value:function _getCircleData(ctx){var x=void 0,y=void 0;var node=this.from;var radius=this.options.selfReferenceSize;if(ctx!==undefined){if(node.shape.width===undefined){node.shape.resize(ctx)}}if(node.shape.width>node.shape.height){x=node.x+node.shape.width*.5;y=node.y-radius}else{x=node.x+radius;y=node.y-node.shape.height*.5}return[x,y,radius]}},{key:\"_pointOnCircle\",value:function _pointOnCircle(x,y,radius,percentage){var angle=percentage*2*Math.PI;return{x:x+radius*Math.cos(angle),y:y-radius*Math.sin(angle)}}},{key:\"_findBorderPositionCircle\",value:function _findBorderPositionCircle(node,ctx,options){var x=options.x;var y=options.y;var low=options.low;var high=options.high;var direction=options.direction;var maxIterations=10;var iteration=0;var radius=this.options.selfReferenceSize;var pos=void 0,angle=void 0,distanceToBorder=void 0,distanceToPoint=void 0,difference=void 0;var threshold=.05;var middle=(low+high)*.5;while(low<=high&&iteration<maxIterations){middle=(low+high)*.5;pos=this._pointOnCircle(x,y,radius,middle);angle=Math.atan2(node.y-pos.y,node.x-pos.x);distanceToBorder=node.distanceToBorder(ctx,angle);distanceToPoint=Math.sqrt(Math.pow(pos.x-node.x,2)+Math.pow(pos.y-node.y,2));difference=distanceToBorder-distanceToPoint;if(Math.abs(difference)<threshold){break}else if(difference>0){if(direction>0){low=middle}else{high=middle}}else{if(direction>0){high=middle}else{low=middle}}iteration++}pos.t=middle;return pos}},{key:\"getLineWidth\",value:function getLineWidth(selected,hover){if(selected===true){return Math.max(this.selectionWidth,.3/this.body.view.scale)}else{if(hover===true){return Math.max(this.hoverWidth,.3/this.body.view.scale)}else{return Math.max(this.options.width,.3/this.body.view.scale)}}}},{key:\"getColor\",value:function getColor(ctx,values,selected,hover){if(values.inheritsColor!==false){if(values.inheritsColor===\"both\"&&this.from.id!==this.to.id){var grd=ctx.createLinearGradient(this.from.x,this.from.y,this.to.x,this.to.y);var fromColor=void 0,toColor=void 0;fromColor=this.from.options.color.highlight.border;toColor=this.to.options.color.highlight.border;if(this.from.selected===false&&this.to.selected===false){fromColor=util.overrideOpacity(this.from.options.color.border,values.opacity);toColor=util.overrideOpacity(this.to.options.color.border,values.opacity)}else if(this.from.selected===true&&this.to.selected===false){toColor=this.to.options.color.border}else if(this.from.selected===false&&this.to.selected===true){fromColor=this.from.options.color.border}grd.addColorStop(0,fromColor);grd.addColorStop(1,toColor);return grd}if(values.inheritsColor===\"to\"){return util.overrideOpacity(this.to.options.color.border,values.opacity)}else{return util.overrideOpacity(this.from.options.color.border,values.opacity)}}else{return util.overrideOpacity(values.color,values.opacity)}}},{key:\"_circle\",value:function _circle(ctx,values,x,y,radius){this.enableShadow(ctx,values);ctx.beginPath();ctx.arc(x,y,radius,0,2*Math.PI,false);ctx.stroke();this.disableShadow(ctx,values)}},{key:\"getDistanceToEdge\",value:function getDistanceToEdge(x1,y1,x2,y2,x3,y3,via,values){var returnValue=0;if(this.from!=this.to){returnValue=this._getDistanceToEdge(x1,y1,x2,y2,x3,y3,via)}else{var _getCircleData8=this._getCircleData(undefined),_getCircleData9=(0,_slicedToArray3[\"default\"])(_getCircleData8,3),x=_getCircleData9[0],y=_getCircleData9[1],radius=_getCircleData9[2];var dx=x-x3;var dy=y-y3;returnValue=Math.abs(Math.sqrt(dx*dx+dy*dy)-radius)}return returnValue}},{key:\"_getDistanceToLine\",value:function _getDistanceToLine(x1,y1,x2,y2,x3,y3){var px=x2-x1;var py=y2-y1;var something=px*px+py*py;var u=((x3-x1)*px+(y3-y1)*py)/something;if(u>1){u=1}else if(u<0){u=0}var x=x1+u*px;var y=y1+u*py;var dx=x-x3;var dy=y-y3;return Math.sqrt(dx*dx+dy*dy)}},{key:\"getArrowData\",value:function getArrowData(ctx,position,viaNode,selected,hover,values){var angle=void 0;var arrowPoint=void 0;var node1=void 0;var node2=void 0;var guideOffset=void 0;var scaleFactor=void 0;var type=void 0;var lineWidth=values.width;if(position===\"from\"){node1=this.from;node2=this.to;guideOffset=.1;scaleFactor=values.fromArrowScale;type=values.fromArrowType}else if(position===\"to\"){node1=this.to;node2=this.from;guideOffset=-.1;scaleFactor=values.toArrowScale;type=values.toArrowType}else{node1=this.to;node2=this.from;scaleFactor=values.middleArrowScale;type=values.middleArrowType}if(node1!=node2){if(position!==\"middle\"){if(this.options.smooth.enabled===true){arrowPoint=this.findBorderPosition(node1,ctx,{via:viaNode});var guidePos=this.getPoint(Math.max(0,Math.min(1,arrowPoint.t+guideOffset)),viaNode);angle=Math.atan2(arrowPoint.y-guidePos.y,arrowPoint.x-guidePos.x)}else{angle=Math.atan2(node1.y-node2.y,node1.x-node2.x);arrowPoint=this.findBorderPosition(node1,ctx)}}else{angle=Math.atan2(node1.y-node2.y,node1.x-node2.x);arrowPoint=this.getPoint(.5,viaNode)}}else{var _getCircleData10=this._getCircleData(ctx),_getCircleData11=(0,_slicedToArray3[\"default\"])(_getCircleData10,3),x=_getCircleData11[0],y=_getCircleData11[1],radius=_getCircleData11[2];if(position===\"from\"){arrowPoint=this.findBorderPosition(this.from,ctx,{x:x,y:y,low:.25,high:.6,direction:-1});angle=arrowPoint.t*-2*Math.PI+1.5*Math.PI+.1*Math.PI}else if(position===\"to\"){arrowPoint=this.findBorderPosition(this.from,ctx,{x:x,y:y,low:.6,high:1,direction:1});angle=arrowPoint.t*-2*Math.PI+1.5*Math.PI-1.1*Math.PI}else{arrowPoint=this._pointOnCircle(x,y,radius,.175);angle=3.9269908169872414}}if(position===\"middle\"&&scaleFactor<0)lineWidth*=-1;var length=15*scaleFactor+3*lineWidth;var xi=arrowPoint.x-length*.9*Math.cos(angle);var yi=arrowPoint.y-length*.9*Math.sin(angle);var arrowCore={x:xi,y:yi};return{point:arrowPoint,core:arrowCore,angle:angle,length:length,type:type}}},{key:\"drawArrowHead\",value:function drawArrowHead(ctx,values,selected,hover,arrowData){ctx.strokeStyle=this.getColor(ctx,values,selected,hover);ctx.fillStyle=ctx.strokeStyle;ctx.lineWidth=values.width;EndPoints.draw(ctx,arrowData);this.enableShadow(ctx,values);ctx.fill();this.disableShadow(ctx,values)}},{key:\"enableShadow\",value:function enableShadow(ctx,values){if(values.shadow===true){ctx.shadowColor=values.shadowColor;ctx.shadowBlur=values.shadowSize;ctx.shadowOffsetX=values.shadowX;ctx.shadowOffsetY=values.shadowY}}},{key:\"disableShadow\",value:function disableShadow(ctx,values){if(values.shadow===true){ctx.shadowColor=\"rgba(0,0,0,0)\";ctx.shadowBlur=0;ctx.shadowOffsetX=0;ctx.shadowOffsetY=0}}}]);return EdgeBase}();exports[\"default\"]=EdgeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var EndPoint=function(){function EndPoint(){(0,_classCallCheck3[\"default\"])(this,EndPoint)}(0,_createClass3[\"default\"])(EndPoint,null,[{key:\"transform\",value:function transform(points,arrowData){if(!(points instanceof Array)){points=[points]}var x=arrowData.point.x;var y=arrowData.point.y;var angle=arrowData.angle;var length=arrowData.length;for(var i=0;i<points.length;++i){var p=points[i];var xt=p.x*Math.cos(angle)-p.y*Math.sin(angle);var yt=p.x*Math.sin(angle)+p.y*Math.cos(angle);p.x=x+length*xt;p.y=y+length*yt}}},{key:\"drawPath\",value:function drawPath(ctx,points){ctx.beginPath();ctx.moveTo(points[0].x,points[0].y);for(var i=1;i<points.length;++i){ctx.lineTo(points[i].x,points[i].y)}ctx.closePath()}}]);return EndPoint}();var Arrow=function(_EndPoint){(0,_inherits3[\"default\"])(Arrow,_EndPoint);function Arrow(){(0,_classCallCheck3[\"default\"])(this,Arrow);return(0,_possibleConstructorReturn3[\"default\"])(this,(Arrow.__proto__||(0,_getPrototypeOf2[\"default\"])(Arrow)).apply(this,arguments))}(0,_createClass3[\"default\"])(Arrow,null,[{key:\"draw\",value:function draw(ctx,arrowData){var points=[{x:0,y:0},{x:-1,y:.3},{x:-.9,y:0},{x:-1,y:-.3}];EndPoint.transform(points,arrowData);EndPoint.drawPath(ctx,points)}}]);return Arrow}(EndPoint);var Circle=function(){function Circle(){(0,_classCallCheck3[\"default\"])(this,Circle)}(0,_createClass3[\"default\"])(Circle,null,[{key:\"draw\",value:function draw(ctx,arrowData){var point={x:-.4,y:0};EndPoint.transform(point,arrowData);ctx.circle(point.x,point.y,arrowData.length*.4)}}]);return Circle}();var Bar=function(){function Bar(){(0,_classCallCheck3[\"default\"])(this,Bar)}(0,_createClass3[\"default\"])(Bar,null,[{key:\"draw\",value:function draw(ctx,arrowData){var points=[{x:0,y:.5},{x:0,y:-.5},{x:-.15,y:-.5},{x:-.15,y:.5}];EndPoint.transform(points,arrowData);EndPoint.drawPath(ctx,points)}}]);return Bar}();var EndPoints=function(){function EndPoints(){(0,_classCallCheck3[\"default\"])(this,EndPoints)}(0,_createClass3[\"default\"])(EndPoints,null,[{key:\"draw\",value:function draw(ctx,arrowData){var type;if(arrowData.type){type=arrowData.type.toLowerCase()}switch(type){case\"circle\":Circle.draw(ctx,arrowData);break;case\"bar\":Bar.draw(ctx,arrowData);break;case\"arrow\":default:Arrow.draw(ctx,arrowData)}}}]);return EndPoints}();exports[\"default\"]=EndPoints},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BarnesHutSolver=function(){function BarnesHutSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,BarnesHutSolver);this.body=body;this.physicsBody=physicsBody;this.barnesHutTree;this.setOptions(options);this.randomSeed=5}(0,_createClass3[\"default\"])(BarnesHutSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options;this.thetaInversed=1/this.options.theta;this.overlapAvoidanceFactor=1-Math.max(0,Math.min(1,this.options.avoidOverlap))}},{key:\"seededRandom\",value:function seededRandom(){var x=Math.sin(this.randomSeed++)*1e4;return x-Math.floor(x)}},{key:\"solve\",value:function solve(){if(this.options.gravitationalConstant!==0&&this.physicsBody.physicsNodeIndices.length>0){var node=void 0;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var nodeCount=nodeIndices.length;var barnesHutTree=this._formBarnesHutTree(nodes,nodeIndices);this.barnesHutTree=barnesHutTree;for(var i=0;i<nodeCount;i++){node=nodes[nodeIndices[i]];if(node.options.mass>0){this._getForceContributions(barnesHutTree.root,node)}}}}},{key:\"_getForceContributions\",value:function _getForceContributions(parentBranch,node){this._getForceContribution(parentBranch.children.NW,node);this._getForceContribution(parentBranch.children.NE,node);this._getForceContribution(parentBranch.children.SW,node);this._getForceContribution(parentBranch.children.SE,node)}},{key:\"_getForceContribution\",value:function _getForceContribution(parentBranch,node){if(parentBranch.childrenCount>0){var dx=void 0,dy=void 0,distance=void 0;dx=parentBranch.centerOfMass.x-node.x;dy=parentBranch.centerOfMass.y-node.y;distance=Math.sqrt(dx*dx+dy*dy);if(distance*parentBranch.calcSize>this.thetaInversed){this._calculateForces(distance,dx,dy,node,parentBranch)}else{if(parentBranch.childrenCount===4){this._getForceContributions(parentBranch,node)}else{if(parentBranch.children.data.id!=node.id){this._calculateForces(distance,dx,dy,node,parentBranch)}}}}}},{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,node,parentBranch){if(distance===0){distance=.1;dx=distance}if(this.overlapAvoidanceFactor<1&&node.shape.radius){distance=Math.max(.1+this.overlapAvoidanceFactor*node.shape.radius,distance-node.shape.radius)}var gravityForce=this.options.gravitationalConstant*parentBranch.mass*node.options.mass/Math.pow(distance,3);var fx=dx*gravityForce;var fy=dy*gravityForce;this.physicsBody.forces[node.id].x+=fx;this.physicsBody.forces[node.id].y+=fy}},{key:\"_formBarnesHutTree\",value:function _formBarnesHutTree(nodes,nodeIndices){var node=void 0;var nodeCount=nodeIndices.length;var minX=nodes[nodeIndices[0]].x;var minY=nodes[nodeIndices[0]].y;var maxX=nodes[nodeIndices[0]].x;var maxY=nodes[nodeIndices[0]].y;for(var i=1;i<nodeCount;i++){var _node=nodes[nodeIndices[i]];var x=_node.x;var y=_node.y;if(_node.options.mass>0){if(x<minX){minX=x}if(x>maxX){maxX=x}if(y<minY){minY=y}if(y>maxY){maxY=y}}}var sizeDiff=Math.abs(maxX-minX)-Math.abs(maxY-minY);if(sizeDiff>0){minY-=.5*sizeDiff;maxY+=.5*sizeDiff}else{minX+=.5*sizeDiff;maxX-=.5*sizeDiff}var minimumTreeSize=1e-5;var rootSize=Math.max(minimumTreeSize,Math.abs(maxX-minX));var halfRootSize=.5*rootSize;var centerX=.5*(minX+maxX),centerY=.5*(minY+maxY);var barnesHutTree={root:{centerOfMass:{x:0,y:0},mass:0,range:{minX:centerX-halfRootSize,maxX:centerX+halfRootSize,minY:centerY-halfRootSize,maxY:centerY+halfRootSize},size:rootSize,calcSize:1/rootSize,children:{data:null},maxWidth:0,level:0,childrenCount:4}};this._splitBranch(barnesHutTree.root);for(var _i=0;_i<nodeCount;_i++){node=nodes[nodeIndices[_i]];if(node.options.mass>0){this._placeInTree(barnesHutTree.root,node)}}return barnesHutTree}},{key:\"_updateBranchMass\",value:function _updateBranchMass(parentBranch,node){var centerOfMass=parentBranch.centerOfMass;var totalMass=parentBranch.mass+node.options.mass;var totalMassInv=1/totalMass;centerOfMass.x=centerOfMass.x*parentBranch.mass+node.x*node.options.mass;centerOfMass.x*=totalMassInv;centerOfMass.y=centerOfMass.y*parentBranch.mass+node.y*node.options.mass;centerOfMass.y*=totalMassInv;parentBranch.mass=totalMass;var biggestSize=Math.max(Math.max(node.height,node.radius),node.width);parentBranch.maxWidth=parentBranch.maxWidth<biggestSize?biggestSize:parentBranch.maxWidth}},{key:\"_placeInTree\",value:function _placeInTree(parentBranch,node,skipMassUpdate){if(skipMassUpdate!=true||skipMassUpdate===undefined){this._updateBranchMass(parentBranch,node)}var range=parentBranch.children.NW.range;var region=void 0;if(range.maxX>node.x){if(range.maxY>node.y){region=\"NW\"}else{region=\"SW\"}}else{if(range.maxY>node.y){region=\"NE\"}else{region=\"SE\"}}this._placeInRegion(parentBranch,node,region)}},{key:\"_placeInRegion\",value:function _placeInRegion(parentBranch,node,region){var children=parentBranch.children[region];switch(children.childrenCount){case 0:children.children.data=node;children.childrenCount=1;this._updateBranchMass(children,node);break;case 1:if(children.children.data.x===node.x&&children.children.data.y===node.y){node.x+=this.seededRandom();node.y+=this.seededRandom()}else{this._splitBranch(children);this._placeInTree(children,node)}break;case 4:this._placeInTree(children,node);break}}},{key:\"_splitBranch\",value:function _splitBranch(parentBranch){var containedNode=null;if(parentBranch.childrenCount===1){containedNode=parentBranch.children.data;parentBranch.mass=0;parentBranch.centerOfMass.x=0;parentBranch.centerOfMass.y=0}parentBranch.childrenCount=4;parentBranch.children.data=null;this._insertRegion(parentBranch,\"NW\");this._insertRegion(parentBranch,\"NE\");this._insertRegion(parentBranch,\"SW\");this._insertRegion(parentBranch,\"SE\");if(containedNode!=null){this._placeInTree(parentBranch,containedNode)}}},{key:\"_insertRegion\",value:function _insertRegion(parentBranch,region){var minX=void 0,maxX=void 0,minY=void 0,maxY=void 0;var childSize=.5*parentBranch.size;switch(region){case\"NW\":minX=parentBranch.range.minX;maxX=parentBranch.range.minX+childSize;minY=parentBranch.range.minY;maxY=parentBranch.range.minY+childSize;break;case\"NE\":minX=parentBranch.range.minX+childSize;maxX=parentBranch.range.maxX;minY=parentBranch.range.minY;maxY=parentBranch.range.minY+childSize;break;case\"SW\":minX=parentBranch.range.minX;maxX=parentBranch.range.minX+childSize;minY=parentBranch.range.minY+childSize;maxY=parentBranch.range.maxY;break;case\"SE\":minX=parentBranch.range.minX+childSize;maxX=parentBranch.range.maxX;minY=parentBranch.range.minY+childSize;maxY=parentBranch.range.maxY;break}parentBranch.children[region]={centerOfMass:{x:0,y:0},mass:0,range:{minX:minX,maxX:maxX,minY:minY,maxY:maxY},size:.5*parentBranch.size,calcSize:2*parentBranch.calcSize,children:{data:null},maxWidth:0,level:parentBranch.level+1,childrenCount:0}}},{key:\"_debug\",value:function _debug(ctx,color){if(this.barnesHutTree!==undefined){ctx.lineWidth=1;this._drawBranch(this.barnesHutTree.root,ctx,color)}}},{key:\"_drawBranch\",value:function _drawBranch(branch,ctx,color){if(color===undefined){color=\"#FF0000\"}if(branch.childrenCount===4){this._drawBranch(branch.children.NW,ctx);this._drawBranch(branch.children.NE,ctx);this._drawBranch(branch.children.SE,ctx);this._drawBranch(branch.children.SW,ctx)}ctx.strokeStyle=color;ctx.beginPath();ctx.moveTo(branch.range.minX,branch.range.minY);ctx.lineTo(branch.range.maxX,branch.range.minY);ctx.stroke();ctx.beginPath();ctx.moveTo(branch.range.maxX,branch.range.minY);ctx.lineTo(branch.range.maxX,branch.range.maxY);ctx.stroke();ctx.beginPath();ctx.moveTo(branch.range.maxX,branch.range.maxY);ctx.lineTo(branch.range.minX,branch.range.maxY);ctx.stroke();ctx.beginPath();ctx.moveTo(branch.range.minX,branch.range.maxY);ctx.lineTo(branch.range.minX,branch.range.minY);ctx.stroke()}}]);return BarnesHutSolver}();exports[\"default\"]=BarnesHutSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CentralGravitySolver=function(){function CentralGravitySolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,CentralGravitySolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(CentralGravitySolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var dx=void 0,dy=void 0,distance=void 0,node=void 0;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;for(var i=0;i<nodeIndices.length;i++){var nodeId=nodeIndices[i];node=nodes[nodeId];dx=-node.x;dy=-node.y;distance=Math.sqrt(dx*dx+dy*dy);this._calculateForces(distance,dx,dy,forces,node)}}},{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,forces,node){var gravityForce=distance===0?0:this.options.centralGravity/distance;forces[node.id].x=dx*gravityForce;forces[node.id].y=dy*gravityForce}}]);return CentralGravitySolver}();exports[\"default\"]=CentralGravitySolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var array=\"array\";var object=\"object\";var dom=\"dom\";var any=\"any\";var endPoints=[\"arrow\",\"circle\",\"bar\"];var allOptions={configure:{enabled:{boolean:bool},filter:{boolean:bool,string:string,array:array,function:\"function\"},container:{dom:dom},showButton:{boolean:bool},__type__:{object:object,boolean:bool,string:string,array:array,function:\"function\"}},edges:{arrows:{to:{enabled:{boolean:bool},scaleFactor:{number:number},type:{string:endPoints},__type__:{object:object,boolean:bool}},middle:{enabled:{boolean:bool},scaleFactor:{number:number},type:{string:endPoints},__type__:{object:object,boolean:bool}},from:{enabled:{boolean:bool},scaleFactor:{number:number},type:{string:endPoints},__type__:{object:object,boolean:bool}},__type__:{string:[\"from\",\"to\",\"middle\"],object:object}},arrowStrikethrough:{boolean:bool},chosen:{label:{boolean:bool,function:\"function\"},edge:{boolean:bool,function:\"function\"},__type__:{object:object,boolean:bool}},color:{color:{string:string},highlight:{string:string},hover:{string:string},inherit:{string:[\"from\",\"to\",\"both\"],boolean:bool},opacity:{number:number},__type__:{object:object,string:string}},dashes:{boolean:bool,array:array},font:{color:{string:string},size:{number:number},face:{string:string},background:{string:string},strokeWidth:{number:number},strokeColor:{string:string},align:{string:[\"horizontal\",\"top\",\"middle\",\"bottom\"]},vadjust:{number:number},multi:{boolean:bool,string:string},bold:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},boldital:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},ital:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},mono:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},__type__:{object:object,string:string}},hidden:{boolean:bool},hoverWidth:{function:\"function\",number:number},label:{string:string,undefined:\"undefined\"},labelHighlightBold:{boolean:bool},length:{number:number,undefined:\"undefined\"},physics:{boolean:bool},scaling:{min:{number:number},max:{number:number},label:{enabled:{boolean:bool},min:{number:number},max:{number:number},maxVisible:{number:number},drawThreshold:{number:number},__type__:{object:object,boolean:bool}},customScalingFunction:{function:\"function\"},__type__:{object:object}},selectionWidth:{function:\"function\",number:number},selfReferenceSize:{number:number},shadow:{enabled:{boolean:bool},color:{string:string},size:{number:number},x:{number:number},y:{number:number},__type__:{object:object,boolean:bool}},smooth:{enabled:{boolean:bool},type:{string:[\"dynamic\",\"continuous\",\"discrete\",\"diagonalCross\",\"straightCross\",\"horizontal\",\"vertical\",\"curvedCW\",\"curvedCCW\",\"cubicBezier\"]},roundness:{number:number},forceDirection:{string:[\"horizontal\",\"vertical\",\"none\"],boolean:bool},__type__:{object:object,boolean:bool}},title:{string:string,undefined:\"undefined\"},width:{number:number},widthConstraint:{maximum:{number:number},__type__:{object:object,boolean:bool,number:number}},value:{number:number,undefined:\"undefined\"},__type__:{object:object}},groups:{useDefaultGroups:{boolean:bool},__any__:\"get from nodes, will be overwritten below\",__type__:{object:object}},interaction:{dragNodes:{boolean:bool},dragView:{boolean:bool},hideEdgesOnDrag:{boolean:bool},hideNodesOnDrag:{boolean:bool},hover:{boolean:bool},keyboard:{enabled:{boolean:bool},speed:{x:{number:number},y:{number:number},zoom:{number:number},__type__:{object:object}},bindToWindow:{boolean:bool},__type__:{object:object,boolean:bool}},multiselect:{boolean:bool},navigationButtons:{boolean:bool},selectable:{boolean:bool},selectConnectedEdges:{boolean:bool},hoverConnectedEdges:{boolean:bool},tooltipDelay:{number:number},zoomView:{boolean:bool},__type__:{object:object}},layout:{randomSeed:{undefined:\"undefined\",number:number},improvedLayout:{boolean:bool},hierarchical:{enabled:{boolean:bool},levelSeparation:{number:number},nodeSpacing:{number:number},treeSpacing:{number:number},blockShifting:{boolean:bool},edgeMinimization:{boolean:bool},parentCentralization:{boolean:bool},direction:{string:[\"UD\",\"DU\",\"LR\",\"RL\"]},sortMethod:{string:[\"hubsize\",\"directed\"]},__type__:{object:object,boolean:bool}},__type__:{object:object}},manipulation:{enabled:{boolean:bool},initiallyActive:{boolean:bool},addNode:{boolean:bool,function:\"function\"},addEdge:{boolean:bool,function:\"function\"},editNode:{function:\"function\"},editEdge:{editWithoutDrag:{function:\"function\"},__type__:{object:object,boolean:bool,function:\"function\"}},deleteNode:{boolean:bool,function:\"function\"},deleteEdge:{boolean:bool,function:\"function\"},controlNodeStyle:\"get from nodes, will be overwritten 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getWeak=function(it,create){if(!has(it,META)){if(!isExtensible(it))return true;if(!create)return false;setMeta(it)}return it[META].w};var onFreeze=function(it){if(FREEZE&&meta.NEED&&isExtensible(it)&&!has(it,META))setMeta(it);return it};var meta=module.exports={KEY:META,NEED:false,fastKey:fastKey,getWeak:getWeak,onFreeze:onFreeze}},function(module,exports,__webpack_require__){var getKeys=__webpack_require__(33);var gOPS=__webpack_require__(63);var pIE=__webpack_require__(42);module.exports=function(it){var result=getKeys(it);var getSymbols=gOPS.f;if(getSymbols){var symbols=getSymbols(it);var isEnum=pIE.f;var i=0;var key;while(symbols.length>i)if(isEnum.call(it,key=symbols[i++]))result.push(key)}return result}},function(module,exports,__webpack_require__){var cof=__webpack_require__(50);module.exports=Array.isArray||function isArray(arg){return cof(arg)==\"Array\"}},function(module,exports,__webpack_require__){var toIObject=__webpack_require__(25);var gOPN=__webpack_require__(88).f;var toString={}.toString;var windowNames=typeof window==\"object\"&&window&&Object.getOwnPropertyNames?Object.getOwnPropertyNames(window):[];var getWindowNames=function(it){try{return gOPN(it)}catch(e){return windowNames.slice()}};module.exports.f=function getOwnPropertyNames(it){return windowNames&&toString.call(it)==\"[object Window]\"?getWindowNames(it):gOPN(toIObject(it))}},function(module,exports){},function(module,exports,__webpack_require__){__webpack_require__(62)(\"asyncIterator\")},function(module,exports,__webpack_require__){__webpack_require__(62)(\"observable\")},function(module,exports,__webpack_require__){(function(module){var require;(function(global,factory){true?module.exports=factory():typeof define===\"function\"&&define.amd?define(factory):global.moment=factory()})(this,function(){\"use strict\";var hookCallback;function hooks(){return hookCallback.apply(null,arguments)}function setHookCallback(callback){hookCallback=callback}function isArray(input){return input instanceof Array||Object.prototype.toString.call(input)===\"[object Array]\"}function isObject(input){return input!=null&&Object.prototype.toString.call(input)===\"[object Object]\"}function isObjectEmpty(obj){if(Object.getOwnPropertyNames){return Object.getOwnPropertyNames(obj).length===0}else{var k;for(k in obj){if(obj.hasOwnProperty(k)){return false}}return true}}function isUndefined(input){return input===void 0}function isNumber(input){return typeof input===\"number\"||Object.prototype.toString.call(input)===\"[object Number]\"}function isDate(input){return input instanceof Date||Object.prototype.toString.call(input)===\"[object Date]\"}function map(arr,fn){var res=[],i;for(i=0;i<arr.length;++i){res.push(fn(arr[i],i))}return res}function hasOwnProp(a,b){return Object.prototype.hasOwnProperty.call(a,b)}function extend(a,b){for(var i in b){if(hasOwnProp(b,i)){a[i]=b[i]}}if(hasOwnProp(b,\"toString\")){a.toString=b.toString}if(hasOwnProp(b,\"valueOf\")){a.valueOf=b.valueOf}return a}function createUTC(input,format,locale,strict){return createLocalOrUTC(input,format,locale,strict,true).utc()}function defaultParsingFlags(){return{empty:false,unusedTokens:[],unusedInput:[],overflow:-2,charsLeftOver:0,nullInput:false,invalidMonth:null,invalidFormat:false,userInvalidated:false,iso:false,parsedDateParts:[],meridiem:null,rfc2822:false,weekdayMismatch:false}}function getParsingFlags(m){if(m._pf==null){m._pf=defaultParsingFlags()}return m._pf}var some;if(Array.prototype.some){some=Array.prototype.some}else{some=function(fun){var t=Object(this);var len=t.length>>>0;for(var i=0;i<len;i++){if(i in t&&fun.call(this,t[i],i,t)){return true}}return false}}function isValid(m){if(m._isValid==null){var flags=getParsingFlags(m);var parsedParts=some.call(flags.parsedDateParts,function(i){return i!=null});var isNowValid=!isNaN(m._d.getTime())&&flags.overflow<0&&!flags.empty&&!flags.invalidMonth&&!flags.invalidWeekday&&!flags.weekdayMismatch&&!flags.nullInput&&!flags.invalidFormat&&!flags.userInvalidated&&(!flags.meridiem||flags.meridiem&&parsedParts);if(m._strict){isNowValid=isNowValid&&flags.charsLeftOver===0&&flags.unusedTokens.length===0&&flags.bigHour===undefined}if(Object.isFrozen==null||!Object.isFrozen(m)){m._isValid=isNowValid}else{return isNowValid}}return m._isValid}function createInvalid(flags){var m=createUTC(NaN);if(flags!=null){extend(getParsingFlags(m),flags)}else{getParsingFlags(m).userInvalidated=true}return m}var momentProperties=hooks.momentProperties=[];function copyConfig(to,from){var i,prop,val;if(!isUndefined(from._isAMomentObject)){to._isAMomentObject=from._isAMomentObject}if(!isUndefined(from._i)){to._i=from._i}if(!isUndefined(from._f)){to._f=from._f}if(!isUndefined(from._l)){to._l=from._l}if(!isUndefined(from._strict)){to._strict=from._strict}if(!isUndefined(from._tzm)){to._tzm=from._tzm}if(!isUndefined(from._isUTC)){to._isUTC=from._isUTC}if(!isUndefined(from._offset)){to._offset=from._offset}if(!isUndefined(from._pf)){to._pf=getParsingFlags(from)}if(!isUndefined(from._locale)){to._locale=from._locale}if(momentProperties.length>0){for(i=0;i<momentProperties.length;i++){prop=momentProperties[i];val=from[prop];if(!isUndefined(val)){to[prop]=val}}}return to}var updateInProgress=false;function Moment(config){copyConfig(this,config);this._d=new Date(config._d!=null?config._d.getTime():NaN);if(!this.isValid()){this._d=new Date(NaN)}if(updateInProgress===false){updateInProgress=true;hooks.updateOffset(this);updateInProgress=false}}function isMoment(obj){return obj instanceof Moment||obj!=null&&obj._isAMomentObject!=null}function absFloor(number){if(number<0){return Math.ceil(number)||0}else{return Math.floor(number)}}function toInt(argumentForCoercion){var coercedNumber=+argumentForCoercion,value=0;if(coercedNumber!==0&&isFinite(coercedNumber)){value=absFloor(coercedNumber)}return value}function compareArrays(array1,array2,dontConvert){var len=Math.min(array1.length,array2.length),lengthDiff=Math.abs(array1.length-array2.length),diffs=0,i;for(i=0;i<len;i++){if(dontConvert&&array1[i]!==array2[i]||!dontConvert&&toInt(array1[i])!==toInt(array2[i])){diffs++}}return diffs+lengthDiff}function warn(msg){if(hooks.suppressDeprecationWarnings===false&&typeof console!==\"undefined\"&&console.warn){console.warn(\"Deprecation warning: \"+msg)}}function deprecate(msg,fn){var firstTime=true;return extend(function(){if(hooks.deprecationHandler!=null){hooks.deprecationHandler(null,msg)}if(firstTime){var args=[];var arg;for(var i=0;i<arguments.length;i++){arg=\"\";if(typeof arguments[i]===\"object\"){arg+=\"\\n[\"+i+\"] \";for(var key in arguments[0]){arg+=key+\": \"+arguments[0][key]+\", \"}arg=arg.slice(0,-2)}else{arg=arguments[i]}args.push(arg)}warn(msg+\"\\nArguments: \"+Array.prototype.slice.call(args).join(\"\")+\"\\n\"+(new Error).stack);firstTime=false}return fn.apply(this,arguments)},fn)}var deprecations={};function deprecateSimple(name,msg){if(hooks.deprecationHandler!=null){hooks.deprecationHandler(name,msg)}if(!deprecations[name]){warn(msg);deprecations[name]=true}}hooks.suppressDeprecationWarnings=false;hooks.deprecationHandler=null;function isFunction(input){return input instanceof Function||Object.prototype.toString.call(input)===\"[object Function]\"}function set(config){var prop,i;for(i in config){prop=config[i];if(isFunction(prop)){this[i]=prop}else{this[\"_\"+i]=prop}}this._config=config;this._dayOfMonthOrdinalParseLenient=new RegExp((this._dayOfMonthOrdinalParse.source||this._ordinalParse.source)+\"|\"+/\\d{1,2}/.source)}function mergeConfigs(parentConfig,childConfig){var res=extend({},parentConfig),prop;for(prop in childConfig){if(hasOwnProp(childConfig,prop)){if(isObject(parentConfig[prop])&&isObject(childConfig[prop])){res[prop]={};extend(res[prop],parentConfig[prop]);extend(res[prop],childConfig[prop])}else if(childConfig[prop]!=null){res[prop]=childConfig[prop]}else{delete res[prop]}}}for(prop in parentConfig){if(hasOwnProp(parentConfig,prop)&&!hasOwnProp(childConfig,prop)&&isObject(parentConfig[prop])){res[prop]=extend({},res[prop])}}return res}function Locale(config){if(config!=null){this.set(config)}}var keys;if(Object.keys){keys=Object.keys}else{keys=function(obj){var i,res=[];for(i in obj){if(hasOwnProp(obj,i)){res.push(i)}}return res}}var defaultCalendar={sameDay:\"[Today at] LT\",nextDay:\"[Tomorrow at] LT\",nextWeek:\"dddd [at] LT\",lastDay:\"[Yesterday at] LT\",lastWeek:\"[Last] dddd [at] LT\",sameElse:\"L\"};function calendar(key,mom,now){var output=this._calendar[key]||this._calendar[\"sameElse\"];return isFunction(output)?output.call(mom,now):output}var defaultLongDateFormat={LTS:\"h:mm:ss A\",LT:\"h:mm A\",L:\"MM/DD/YYYY\",LL:\"MMMM D, YYYY\",LLL:\"MMMM D, YYYY h:mm A\",LLLL:\"dddd, MMMM D, YYYY h:mm A\"};function longDateFormat(key){var format=this._longDateFormat[key],formatUpper=this._longDateFormat[key.toUpperCase()];if(format||!formatUpper){return format}this._longDateFormat[key]=formatUpper.replace(/MMMM|MM|DD|dddd/g,function(val){return val.slice(1)});return this._longDateFormat[key]}var defaultInvalidDate=\"Invalid date\";function invalidDate(){return this._invalidDate}var defaultOrdinal=\"%d\";var defaultDayOfMonthOrdinalParse=/\\d{1,2}/;function ordinal(number){return this._ordinal.replace(\"%d\",number)}var defaultRelativeTime={future:\"in %s\",past:\"%s ago\",s:\"a few seconds\",ss:\"%d seconds\",m:\"a minute\",mm:\"%d minutes\",h:\"an hour\",hh:\"%d hours\",d:\"a day\",dd:\"%d days\",M:\"a month\",MM:\"%d months\",y:\"a year\",yy:\"%d years\"};function relativeTime(number,withoutSuffix,string,isFuture){var output=this._relativeTime[string];return isFunction(output)?output(number,withoutSuffix,string,isFuture):output.replace(/%d/i,number)}function pastFuture(diff,output){var format=this._relativeTime[diff>0?\"future\":\"past\"];return isFunction(format)?format(output):format.replace(/%s/i,output)}var aliases={};function addUnitAlias(unit,shorthand){var lowerCase=unit.toLowerCase();aliases[lowerCase]=aliases[lowerCase+\"s\"]=aliases[shorthand]=unit}function normalizeUnits(units){return typeof units===\"string\"?aliases[units]||aliases[units.toLowerCase()]:undefined}function normalizeObjectUnits(inputObject){var normalizedInput={},normalizedProp,prop;for(prop in inputObject){if(hasOwnProp(inputObject,prop)){normalizedProp=normalizeUnits(prop);if(normalizedProp){normalizedInput[normalizedProp]=inputObject[prop]}}}return normalizedInput}var priorities={};function addUnitPriority(unit,priority){priorities[unit]=priority}function getPrioritizedUnits(unitsObj){var units=[];for(var u in unitsObj){units.push({unit:u,priority:priorities[u]})}units.sort(function(a,b){return a.priority-b.priority});return units}function zeroFill(number,targetLength,forceSign){var absNumber=\"\"+Math.abs(number),zerosToFill=targetLength-absNumber.length,sign=number>=0;return(sign?forceSign?\"+\":\"\":\"-\")+Math.pow(10,Math.max(0,zerosToFill)).toString().substr(1)+absNumber}var formattingTokens=/(\\[[^\\[]*\\])|(\\\\)?([Hh]mm(ss)?|Mo|MM?M?M?|Do|DDDo|DD?D?D?|ddd?d?|do?|w[o|w]?|W[o|W]?|Qo?|YYYYYY|YYYYY|YYYY|YY|gg(ggg?)?|GG(GGG?)?|e|E|a|A|hh?|HH?|kk?|mm?|ss?|S{1,9}|x|X|zz?|ZZ?|.)/g;var localFormattingTokens=/(\\[[^\\[]*\\])|(\\\\)?(LTS|LT|LL?L?L?|l{1,4})/g;var formatFunctions={};var formatTokenFunctions={};function addFormatToken(token,padded,ordinal,callback){var func=callback;if(typeof callback===\"string\"){func=function(){return this[callback]()}}if(token){formatTokenFunctions[token]=func}if(padded){formatTokenFunctions[padded[0]]=function(){return zeroFill(func.apply(this,arguments),padded[1],padded[2])}}if(ordinal){formatTokenFunctions[ordinal]=function(){return this.localeData().ordinal(func.apply(this,arguments),token)}}}function removeFormattingTokens(input){if(input.match(/\\[[\\s\\S]/)){return input.replace(/^\\[|\\]$/g,\"\")}return input.replace(/\\\\/g,\"\")}function makeFormatFunction(format){var array=format.match(formattingTokens),i,length;for(i=0,length=array.length;i<length;i++){if(formatTokenFunctions[array[i]]){array[i]=formatTokenFunctions[array[i]]}else{array[i]=removeFormattingTokens(array[i])}}return function(mom){var output=\"\",i;for(i=0;i<length;i++){output+=isFunction(array[i])?array[i].call(mom,format):array[i]}return output}}function formatMoment(m,format){if(!m.isValid()){return m.localeData().invalidDate()}format=expandFormat(format,m.localeData());formatFunctions[format]=formatFunctions[format]||makeFormatFunction(format);return formatFunctions[format](m)}function expandFormat(format,locale){var i=5;function replaceLongDateFormatTokens(input){return locale.longDateFormat(input)||input}localFormattingTokens.lastIndex=0;while(i>=0&&localFormattingTokens.test(format)){format=format.replace(localFormattingTokens,replaceLongDateFormatTokens);localFormattingTokens.lastIndex=0;i-=1}return format}var match1=/\\d/;var match2=/\\d\\d/;var match3=/\\d{3}/;var match4=/\\d{4}/;var match6=/[+-]?\\d{6}/;var match1to2=/\\d\\d?/;var match3to4=/\\d\\d\\d\\d?/;var match5to6=/\\d\\d\\d\\d\\d\\d?/;var match1to3=/\\d{1,3}/;var match1to4=/\\d{1,4}/;var match1to6=/[+-]?\\d{1,6}/;var matchUnsigned=/\\d+/;var matchSigned=/[+-]?\\d+/;var matchOffset=/Z|[+-]\\d\\d:?\\d\\d/gi;var matchShortOffset=/Z|[+-]\\d\\d(?::?\\d\\d)?/gi;var matchTimestamp=/[+-]?\\d+(\\.\\d{1,3})?/;var matchWord=/[0-9]*['a-z\\u00A0-\\u05FF\\u0700-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF]+|[\\u0600-\\u06FF\\/]+(\\s*?[\\u0600-\\u06FF]+){1,2}/i;var regexes={};function addRegexToken(token,regex,strictRegex){regexes[token]=isFunction(regex)?regex:function(isStrict,localeData){return isStrict&&strictRegex?strictRegex:regex}}function getParseRegexForToken(token,config){if(!hasOwnProp(regexes,token)){return new RegExp(unescapeFormat(token))}return regexes[token](config._strict,config._locale)}function unescapeFormat(s){return regexEscape(s.replace(\"\\\\\",\"\").replace(/\\\\(\\[)|\\\\(\\])|\\[([^\\]\\[]*)\\]|\\\\(.)/g,function(matched,p1,p2,p3,p4){return p1||p2||p3||p4}))}function regexEscape(s){return s.replace(/[-\\/\\\\^$*+?.()|[\\]{}]/g,\"\\\\$&\")}var tokens={};function addParseToken(token,callback){var i,func=callback;if(typeof token===\"string\"){token=[token]}if(isNumber(callback)){func=function(input,array){array[callback]=toInt(input)}}for(i=0;i<token.length;i++){tokens[token[i]]=func}}function addWeekParseToken(token,callback){addParseToken(token,function(input,array,config,token){config._w=config._w||{};callback(input,config._w,config,token)})}function addTimeToArrayFromToken(token,input,config){if(input!=null&&hasOwnProp(tokens,token)){tokens[token](input,config._a,config,token)}}var YEAR=0;var MONTH=1;var DATE=2;var HOUR=3;var MINUTE=4;var SECOND=5;var MILLISECOND=6;var WEEK=7;var WEEKDAY=8;addFormatToken(\"Y\",0,0,function(){var y=this.year();return y<=9999?\"\"+y:\"+\"+y});addFormatToken(0,[\"YY\",2],0,function(){return this.year()%100});addFormatToken(0,[\"YYYY\",4],0,\"year\");addFormatToken(0,[\"YYYYY\",5],0,\"year\");addFormatToken(0,[\"YYYYYY\",6,true],0,\"year\");addUnitAlias(\"year\",\"y\");addUnitPriority(\"year\",1);addRegexToken(\"Y\",matchSigned)\n;addRegexToken(\"YY\",match1to2,match2);addRegexToken(\"YYYY\",match1to4,match4);addRegexToken(\"YYYYY\",match1to6,match6);addRegexToken(\"YYYYYY\",match1to6,match6);addParseToken([\"YYYYY\",\"YYYYYY\"],YEAR);addParseToken(\"YYYY\",function(input,array){array[YEAR]=input.length===2?hooks.parseTwoDigitYear(input):toInt(input)});addParseToken(\"YY\",function(input,array){array[YEAR]=hooks.parseTwoDigitYear(input)});addParseToken(\"Y\",function(input,array){array[YEAR]=parseInt(input,10)});function daysInYear(year){return isLeapYear(year)?366:365}function isLeapYear(year){return year%4===0&&year%100!==0||year%400===0}hooks.parseTwoDigitYear=function(input){return toInt(input)+(toInt(input)>68?1900:2e3)};var getSetYear=makeGetSet(\"FullYear\",true);function getIsLeapYear(){return isLeapYear(this.year())}function makeGetSet(unit,keepTime){return function(value){if(value!=null){set$1(this,unit,value);hooks.updateOffset(this,keepTime);return this}else{return get(this,unit)}}}function get(mom,unit){return mom.isValid()?mom._d[\"get\"+(mom._isUTC?\"UTC\":\"\")+unit]():NaN}function set$1(mom,unit,value){if(mom.isValid()&&!isNaN(value)){if(unit===\"FullYear\"&&isLeapYear(mom.year())){mom._d[\"set\"+(mom._isUTC?\"UTC\":\"\")+unit](value,mom.month(),daysInMonth(value,mom.month()))}else{mom._d[\"set\"+(mom._isUTC?\"UTC\":\"\")+unit](value)}}}function stringGet(units){units=normalizeUnits(units);if(isFunction(this[units])){return this[units]()}return this}function stringSet(units,value){if(typeof units===\"object\"){units=normalizeObjectUnits(units);var prioritized=getPrioritizedUnits(units);for(var i=0;i<prioritized.length;i++){this[prioritized[i].unit](units[prioritized[i].unit])}}else{units=normalizeUnits(units);if(isFunction(this[units])){return this[units](value)}}return this}function mod(n,x){return(n%x+x)%x}var indexOf;if(Array.prototype.indexOf){indexOf=Array.prototype.indexOf}else{indexOf=function(o){var i;for(i=0;i<this.length;++i){if(this[i]===o){return i}}return-1}}function daysInMonth(year,month){if(isNaN(year)||isNaN(month)){return NaN}var modMonth=mod(month,12);year+=(month-modMonth)/12;return modMonth===1?isLeapYear(year)?29:28:31-modMonth%7%2}addFormatToken(\"M\",[\"MM\",2],\"Mo\",function(){return this.month()+1});addFormatToken(\"MMM\",0,0,function(format){return this.localeData().monthsShort(this,format)});addFormatToken(\"MMMM\",0,0,function(format){return this.localeData().months(this,format)});addUnitAlias(\"month\",\"M\");addUnitPriority(\"month\",8);addRegexToken(\"M\",match1to2);addRegexToken(\"MM\",match1to2,match2);addRegexToken(\"MMM\",function(isStrict,locale){return locale.monthsShortRegex(isStrict)});addRegexToken(\"MMMM\",function(isStrict,locale){return locale.monthsRegex(isStrict)});addParseToken([\"M\",\"MM\"],function(input,array){array[MONTH]=toInt(input)-1});addParseToken([\"MMM\",\"MMMM\"],function(input,array,config,token){var month=config._locale.monthsParse(input,token,config._strict);if(month!=null){array[MONTH]=month}else{getParsingFlags(config).invalidMonth=input}});var MONTHS_IN_FORMAT=/D[oD]?(\\[[^\\[\\]]*\\]|\\s)+MMMM?/;var defaultLocaleMonths=\"January_February_March_April_May_June_July_August_September_October_November_December\".split(\"_\");function localeMonths(m,format){if(!m){return isArray(this._months)?this._months:this._months[\"standalone\"]}return isArray(this._months)?this._months[m.month()]:this._months[(this._months.isFormat||MONTHS_IN_FORMAT).test(format)?\"format\":\"standalone\"][m.month()]}var defaultLocaleMonthsShort=\"Jan_Feb_Mar_Apr_May_Jun_Jul_Aug_Sep_Oct_Nov_Dec\".split(\"_\");function localeMonthsShort(m,format){if(!m){return isArray(this._monthsShort)?this._monthsShort:this._monthsShort[\"standalone\"]}return isArray(this._monthsShort)?this._monthsShort[m.month()]:this._monthsShort[MONTHS_IN_FORMAT.test(format)?\"format\":\"standalone\"][m.month()]}function handleStrictParse(monthName,format,strict){var i,ii,mom,llc=monthName.toLocaleLowerCase();if(!this._monthsParse){this._monthsParse=[];this._longMonthsParse=[];this._shortMonthsParse=[];for(i=0;i<12;++i){mom=createUTC([2e3,i]);this._shortMonthsParse[i]=this.monthsShort(mom,\"\").toLocaleLowerCase();this._longMonthsParse[i]=this.months(mom,\"\").toLocaleLowerCase()}}if(strict){if(format===\"MMM\"){ii=indexOf.call(this._shortMonthsParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._longMonthsParse,llc);return ii!==-1?ii:null}}else{if(format===\"MMM\"){ii=indexOf.call(this._shortMonthsParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._longMonthsParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._longMonthsParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._shortMonthsParse,llc);return ii!==-1?ii:null}}}function localeMonthsParse(monthName,format,strict){var i,mom,regex;if(this._monthsParseExact){return handleStrictParse.call(this,monthName,format,strict)}if(!this._monthsParse){this._monthsParse=[];this._longMonthsParse=[];this._shortMonthsParse=[]}for(i=0;i<12;i++){mom=createUTC([2e3,i]);if(strict&&!this._longMonthsParse[i]){this._longMonthsParse[i]=new RegExp(\"^\"+this.months(mom,\"\").replace(\".\",\"\")+\"$\",\"i\");this._shortMonthsParse[i]=new RegExp(\"^\"+this.monthsShort(mom,\"\").replace(\".\",\"\")+\"$\",\"i\")}if(!strict&&!this._monthsParse[i]){regex=\"^\"+this.months(mom,\"\")+\"|^\"+this.monthsShort(mom,\"\");this._monthsParse[i]=new RegExp(regex.replace(\".\",\"\"),\"i\")}if(strict&&format===\"MMMM\"&&this._longMonthsParse[i].test(monthName)){return i}else if(strict&&format===\"MMM\"&&this._shortMonthsParse[i].test(monthName)){return i}else if(!strict&&this._monthsParse[i].test(monthName)){return i}}}function setMonth(mom,value){var dayOfMonth;if(!mom.isValid()){return mom}if(typeof value===\"string\"){if(/^\\d+$/.test(value)){value=toInt(value)}else{value=mom.localeData().monthsParse(value);if(!isNumber(value)){return mom}}}dayOfMonth=Math.min(mom.date(),daysInMonth(mom.year(),value));mom._d[\"set\"+(mom._isUTC?\"UTC\":\"\")+\"Month\"](value,dayOfMonth);return mom}function getSetMonth(value){if(value!=null){setMonth(this,value);hooks.updateOffset(this,true);return this}else{return get(this,\"Month\")}}function getDaysInMonth(){return daysInMonth(this.year(),this.month())}var defaultMonthsShortRegex=matchWord;function monthsShortRegex(isStrict){if(this._monthsParseExact){if(!hasOwnProp(this,\"_monthsRegex\")){computeMonthsParse.call(this)}if(isStrict){return this._monthsShortStrictRegex}else{return this._monthsShortRegex}}else{if(!hasOwnProp(this,\"_monthsShortRegex\")){this._monthsShortRegex=defaultMonthsShortRegex}return this._monthsShortStrictRegex&&isStrict?this._monthsShortStrictRegex:this._monthsShortRegex}}var defaultMonthsRegex=matchWord;function monthsRegex(isStrict){if(this._monthsParseExact){if(!hasOwnProp(this,\"_monthsRegex\")){computeMonthsParse.call(this)}if(isStrict){return this._monthsStrictRegex}else{return this._monthsRegex}}else{if(!hasOwnProp(this,\"_monthsRegex\")){this._monthsRegex=defaultMonthsRegex}return this._monthsStrictRegex&&isStrict?this._monthsStrictRegex:this._monthsRegex}}function computeMonthsParse(){function cmpLenRev(a,b){return b.length-a.length}var shortPieces=[],longPieces=[],mixedPieces=[],i,mom;for(i=0;i<12;i++){mom=createUTC([2e3,i]);shortPieces.push(this.monthsShort(mom,\"\"));longPieces.push(this.months(mom,\"\"));mixedPieces.push(this.months(mom,\"\"));mixedPieces.push(this.monthsShort(mom,\"\"))}shortPieces.sort(cmpLenRev);longPieces.sort(cmpLenRev);mixedPieces.sort(cmpLenRev);for(i=0;i<12;i++){shortPieces[i]=regexEscape(shortPieces[i]);longPieces[i]=regexEscape(longPieces[i])}for(i=0;i<24;i++){mixedPieces[i]=regexEscape(mixedPieces[i])}this._monthsRegex=new RegExp(\"^(\"+mixedPieces.join(\"|\")+\")\",\"i\");this._monthsShortRegex=this._monthsRegex;this._monthsStrictRegex=new RegExp(\"^(\"+longPieces.join(\"|\")+\")\",\"i\");this._monthsShortStrictRegex=new RegExp(\"^(\"+shortPieces.join(\"|\")+\")\",\"i\")}function createDate(y,m,d,h,M,s,ms){var date=new Date(y,m,d,h,M,s,ms);if(y<100&&y>=0&&isFinite(date.getFullYear())){date.setFullYear(y)}return date}function createUTCDate(y){var date=new Date(Date.UTC.apply(null,arguments));if(y<100&&y>=0&&isFinite(date.getUTCFullYear())){date.setUTCFullYear(y)}return date}function firstWeekOffset(year,dow,doy){var fwd=7+dow-doy,fwdlw=(7+createUTCDate(year,0,fwd).getUTCDay()-dow)%7;return-fwdlw+fwd-1}function dayOfYearFromWeeks(year,week,weekday,dow,doy){var localWeekday=(7+weekday-dow)%7,weekOffset=firstWeekOffset(year,dow,doy),dayOfYear=1+7*(week-1)+localWeekday+weekOffset,resYear,resDayOfYear;if(dayOfYear<=0){resYear=year-1;resDayOfYear=daysInYear(resYear)+dayOfYear}else if(dayOfYear>daysInYear(year)){resYear=year+1;resDayOfYear=dayOfYear-daysInYear(year)}else{resYear=year;resDayOfYear=dayOfYear}return{year:resYear,dayOfYear:resDayOfYear}}function weekOfYear(mom,dow,doy){var weekOffset=firstWeekOffset(mom.year(),dow,doy),week=Math.floor((mom.dayOfYear()-weekOffset-1)/7)+1,resWeek,resYear;if(week<1){resYear=mom.year()-1;resWeek=week+weeksInYear(resYear,dow,doy)}else if(week>weeksInYear(mom.year(),dow,doy)){resWeek=week-weeksInYear(mom.year(),dow,doy);resYear=mom.year()+1}else{resYear=mom.year();resWeek=week}return{week:resWeek,year:resYear}}function weeksInYear(year,dow,doy){var weekOffset=firstWeekOffset(year,dow,doy),weekOffsetNext=firstWeekOffset(year+1,dow,doy);return(daysInYear(year)-weekOffset+weekOffsetNext)/7}addFormatToken(\"w\",[\"ww\",2],\"wo\",\"week\");addFormatToken(\"W\",[\"WW\",2],\"Wo\",\"isoWeek\");addUnitAlias(\"week\",\"w\");addUnitAlias(\"isoWeek\",\"W\");addUnitPriority(\"week\",5);addUnitPriority(\"isoWeek\",5);addRegexToken(\"w\",match1to2);addRegexToken(\"ww\",match1to2,match2);addRegexToken(\"W\",match1to2);addRegexToken(\"WW\",match1to2,match2);addWeekParseToken([\"w\",\"ww\",\"W\",\"WW\"],function(input,week,config,token){week[token.substr(0,1)]=toInt(input)});function localeWeek(mom){return weekOfYear(mom,this._week.dow,this._week.doy).week}var defaultLocaleWeek={dow:0,doy:6};function localeFirstDayOfWeek(){return this._week.dow}function localeFirstDayOfYear(){return this._week.doy}function getSetWeek(input){var week=this.localeData().week(this);return input==null?week:this.add((input-week)*7,\"d\")}function getSetISOWeek(input){var week=weekOfYear(this,1,4).week;return input==null?week:this.add((input-week)*7,\"d\")}addFormatToken(\"d\",0,\"do\",\"day\");addFormatToken(\"dd\",0,0,function(format){return this.localeData().weekdaysMin(this,format)});addFormatToken(\"ddd\",0,0,function(format){return this.localeData().weekdaysShort(this,format)});addFormatToken(\"dddd\",0,0,function(format){return this.localeData().weekdays(this,format)});addFormatToken(\"e\",0,0,\"weekday\");addFormatToken(\"E\",0,0,\"isoWeekday\");addUnitAlias(\"day\",\"d\");addUnitAlias(\"weekday\",\"e\");addUnitAlias(\"isoWeekday\",\"E\");addUnitPriority(\"day\",11);addUnitPriority(\"weekday\",11);addUnitPriority(\"isoWeekday\",11);addRegexToken(\"d\",match1to2);addRegexToken(\"e\",match1to2);addRegexToken(\"E\",match1to2);addRegexToken(\"dd\",function(isStrict,locale){return locale.weekdaysMinRegex(isStrict)});addRegexToken(\"ddd\",function(isStrict,locale){return locale.weekdaysShortRegex(isStrict)});addRegexToken(\"dddd\",function(isStrict,locale){return locale.weekdaysRegex(isStrict)});addWeekParseToken([\"dd\",\"ddd\",\"dddd\"],function(input,week,config,token){var weekday=config._locale.weekdaysParse(input,token,config._strict);if(weekday!=null){week.d=weekday}else{getParsingFlags(config).invalidWeekday=input}});addWeekParseToken([\"d\",\"e\",\"E\"],function(input,week,config,token){week[token]=toInt(input)});function parseWeekday(input,locale){if(typeof input!==\"string\"){return input}if(!isNaN(input)){return parseInt(input,10)}input=locale.weekdaysParse(input);if(typeof input===\"number\"){return input}return null}function parseIsoWeekday(input,locale){if(typeof input===\"string\"){return locale.weekdaysParse(input)%7||7}return isNaN(input)?null:input}var defaultLocaleWeekdays=\"Sunday_Monday_Tuesday_Wednesday_Thursday_Friday_Saturday\".split(\"_\");function localeWeekdays(m,format){if(!m){return isArray(this._weekdays)?this._weekdays:this._weekdays[\"standalone\"]}return isArray(this._weekdays)?this._weekdays[m.day()]:this._weekdays[this._weekdays.isFormat.test(format)?\"format\":\"standalone\"][m.day()]}var defaultLocaleWeekdaysShort=\"Sun_Mon_Tue_Wed_Thu_Fri_Sat\".split(\"_\");function localeWeekdaysShort(m){return m?this._weekdaysShort[m.day()]:this._weekdaysShort}var defaultLocaleWeekdaysMin=\"Su_Mo_Tu_We_Th_Fr_Sa\".split(\"_\");function localeWeekdaysMin(m){return m?this._weekdaysMin[m.day()]:this._weekdaysMin}function handleStrictParse$1(weekdayName,format,strict){var i,ii,mom,llc=weekdayName.toLocaleLowerCase();if(!this._weekdaysParse){this._weekdaysParse=[];this._shortWeekdaysParse=[];this._minWeekdaysParse=[];for(i=0;i<7;++i){mom=createUTC([2e3,1]).day(i);this._minWeekdaysParse[i]=this.weekdaysMin(mom,\"\").toLocaleLowerCase();this._shortWeekdaysParse[i]=this.weekdaysShort(mom,\"\").toLocaleLowerCase();this._weekdaysParse[i]=this.weekdays(mom,\"\").toLocaleLowerCase()}}if(strict){if(format===\"dddd\"){ii=indexOf.call(this._weekdaysParse,llc);return ii!==-1?ii:null}else if(format===\"ddd\"){ii=indexOf.call(this._shortWeekdaysParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._minWeekdaysParse,llc);return ii!==-1?ii:null}}else{if(format===\"dddd\"){ii=indexOf.call(this._weekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._shortWeekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._minWeekdaysParse,llc);return ii!==-1?ii:null}else if(format===\"ddd\"){ii=indexOf.call(this._shortWeekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._weekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._minWeekdaysParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._minWeekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._weekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._shortWeekdaysParse,llc);return ii!==-1?ii:null}}}function localeWeekdaysParse(weekdayName,format,strict){var i,mom,regex;if(this._weekdaysParseExact){return handleStrictParse$1.call(this,weekdayName,format,strict)}if(!this._weekdaysParse){this._weekdaysParse=[];this._minWeekdaysParse=[];this._shortWeekdaysParse=[];this._fullWeekdaysParse=[]}for(i=0;i<7;i++){mom=createUTC([2e3,1]).day(i);if(strict&&!this._fullWeekdaysParse[i]){this._fullWeekdaysParse[i]=new RegExp(\"^\"+this.weekdays(mom,\"\").replace(\".\",\".?\")+\"$\",\"i\");this._shortWeekdaysParse[i]=new RegExp(\"^\"+this.weekdaysShort(mom,\"\").replace(\".\",\".?\")+\"$\",\"i\");this._minWeekdaysParse[i]=new RegExp(\"^\"+this.weekdaysMin(mom,\"\").replace(\".\",\".?\")+\"$\",\"i\")}if(!this._weekdaysParse[i]){regex=\"^\"+this.weekdays(mom,\"\")+\"|^\"+this.weekdaysShort(mom,\"\")+\"|^\"+this.weekdaysMin(mom,\"\");this._weekdaysParse[i]=new RegExp(regex.replace(\".\",\"\"),\"i\")}if(strict&&format===\"dddd\"&&this._fullWeekdaysParse[i].test(weekdayName)){return i}else if(strict&&format===\"ddd\"&&this._shortWeekdaysParse[i].test(weekdayName)){return i}else if(strict&&format===\"dd\"&&this._minWeekdaysParse[i].test(weekdayName)){return i}else if(!strict&&this._weekdaysParse[i].test(weekdayName)){return i}}}function getSetDayOfWeek(input){if(!this.isValid()){return input!=null?this:NaN}var day=this._isUTC?this._d.getUTCDay():this._d.getDay();if(input!=null){input=parseWeekday(input,this.localeData());return this.add(input-day,\"d\")}else{return day}}function getSetLocaleDayOfWeek(input){if(!this.isValid()){return input!=null?this:NaN}var weekday=(this.day()+7-this.localeData()._week.dow)%7;return input==null?weekday:this.add(input-weekday,\"d\")}function getSetISODayOfWeek(input){if(!this.isValid()){return input!=null?this:NaN}if(input!=null){var weekday=parseIsoWeekday(input,this.localeData());return this.day(this.day()%7?weekday:weekday-7)}else{return this.day()||7}}var defaultWeekdaysRegex=matchWord;function weekdaysRegex(isStrict){if(this._weekdaysParseExact){if(!hasOwnProp(this,\"_weekdaysRegex\")){computeWeekdaysParse.call(this)}if(isStrict){return this._weekdaysStrictRegex}else{return this._weekdaysRegex}}else{if(!hasOwnProp(this,\"_weekdaysRegex\")){this._weekdaysRegex=defaultWeekdaysRegex}return this._weekdaysStrictRegex&&isStrict?this._weekdaysStrictRegex:this._weekdaysRegex}}var defaultWeekdaysShortRegex=matchWord;function weekdaysShortRegex(isStrict){if(this._weekdaysParseExact){if(!hasOwnProp(this,\"_weekdaysRegex\")){computeWeekdaysParse.call(this)}if(isStrict){return this._weekdaysShortStrictRegex}else{return this._weekdaysShortRegex}}else{if(!hasOwnProp(this,\"_weekdaysShortRegex\")){this._weekdaysShortRegex=defaultWeekdaysShortRegex}return this._weekdaysShortStrictRegex&&isStrict?this._weekdaysShortStrictRegex:this._weekdaysShortRegex}}var defaultWeekdaysMinRegex=matchWord;function weekdaysMinRegex(isStrict){if(this._weekdaysParseExact){if(!hasOwnProp(this,\"_weekdaysRegex\")){computeWeekdaysParse.call(this)}if(isStrict){return this._weekdaysMinStrictRegex}else{return this._weekdaysMinRegex}}else{if(!hasOwnProp(this,\"_weekdaysMinRegex\")){this._weekdaysMinRegex=defaultWeekdaysMinRegex}return this._weekdaysMinStrictRegex&&isStrict?this._weekdaysMinStrictRegex:this._weekdaysMinRegex}}function computeWeekdaysParse(){function cmpLenRev(a,b){return b.length-a.length}var minPieces=[],shortPieces=[],longPieces=[],mixedPieces=[],i,mom,minp,shortp,longp;for(i=0;i<7;i++){mom=createUTC([2e3,1]).day(i);minp=this.weekdaysMin(mom,\"\");shortp=this.weekdaysShort(mom,\"\");longp=this.weekdays(mom,\"\");minPieces.push(minp);shortPieces.push(shortp);longPieces.push(longp);mixedPieces.push(minp);mixedPieces.push(shortp);mixedPieces.push(longp)}minPieces.sort(cmpLenRev);shortPieces.sort(cmpLenRev);longPieces.sort(cmpLenRev);mixedPieces.sort(cmpLenRev);for(i=0;i<7;i++){shortPieces[i]=regexEscape(shortPieces[i]);longPieces[i]=regexEscape(longPieces[i]);mixedPieces[i]=regexEscape(mixedPieces[i])}this._weekdaysRegex=new RegExp(\"^(\"+mixedPieces.join(\"|\")+\")\",\"i\");this._weekdaysShortRegex=this._weekdaysRegex;this._weekdaysMinRegex=this._weekdaysRegex;this._weekdaysStrictRegex=new RegExp(\"^(\"+longPieces.join(\"|\")+\")\",\"i\");this._weekdaysShortStrictRegex=new RegExp(\"^(\"+shortPieces.join(\"|\")+\")\",\"i\");this._weekdaysMinStrictRegex=new RegExp(\"^(\"+minPieces.join(\"|\")+\")\",\"i\")}function hFormat(){return this.hours()%12||12}function kFormat(){return this.hours()||24}addFormatToken(\"H\",[\"HH\",2],0,\"hour\");addFormatToken(\"h\",[\"hh\",2],0,hFormat);addFormatToken(\"k\",[\"kk\",2],0,kFormat);addFormatToken(\"hmm\",0,0,function(){return\"\"+hFormat.apply(this)+zeroFill(this.minutes(),2)});addFormatToken(\"hmmss\",0,0,function(){return\"\"+hFormat.apply(this)+zeroFill(this.minutes(),2)+zeroFill(this.seconds(),2)});addFormatToken(\"Hmm\",0,0,function(){return\"\"+this.hours()+zeroFill(this.minutes(),2)});addFormatToken(\"Hmmss\",0,0,function(){return\"\"+this.hours()+zeroFill(this.minutes(),2)+zeroFill(this.seconds(),2)});function meridiem(token,lowercase){addFormatToken(token,0,0,function(){return this.localeData().meridiem(this.hours(),this.minutes(),lowercase)})}meridiem(\"a\",true);meridiem(\"A\",false);addUnitAlias(\"hour\",\"h\");addUnitPriority(\"hour\",13);function matchMeridiem(isStrict,locale){return locale._meridiemParse}addRegexToken(\"a\",matchMeridiem);addRegexToken(\"A\",matchMeridiem);addRegexToken(\"H\",match1to2);addRegexToken(\"h\",match1to2);addRegexToken(\"k\",match1to2);addRegexToken(\"HH\",match1to2,match2);addRegexToken(\"hh\",match1to2,match2);addRegexToken(\"kk\",match1to2,match2);addRegexToken(\"hmm\",match3to4);addRegexToken(\"hmmss\",match5to6);addRegexToken(\"Hmm\",match3to4);addRegexToken(\"Hmmss\",match5to6);addParseToken([\"H\",\"HH\"],HOUR);addParseToken([\"k\",\"kk\"],function(input,array,config){var kInput=toInt(input);array[HOUR]=kInput===24?0:kInput});addParseToken([\"a\",\"A\"],function(input,array,config){config._isPm=config._locale.isPM(input);config._meridiem=input});addParseToken([\"h\",\"hh\"],function(input,array,config){array[HOUR]=toInt(input);getParsingFlags(config).bigHour=true});addParseToken(\"hmm\",function(input,array,config){var pos=input.length-2;array[HOUR]=toInt(input.substr(0,pos));array[MINUTE]=toInt(input.substr(pos));getParsingFlags(config).bigHour=true});addParseToken(\"hmmss\",function(input,array,config){var pos1=input.length-4;var pos2=input.length-2;array[HOUR]=toInt(input.substr(0,pos1));array[MINUTE]=toInt(input.substr(pos1,2));array[SECOND]=toInt(input.substr(pos2));getParsingFlags(config).bigHour=true});addParseToken(\"Hmm\",function(input,array,config){var pos=input.length-2;array[HOUR]=toInt(input.substr(0,pos));array[MINUTE]=toInt(input.substr(pos))});addParseToken(\"Hmmss\",function(input,array,config){var pos1=input.length-4;var pos2=input.length-2;array[HOUR]=toInt(input.substr(0,pos1));array[MINUTE]=toInt(input.substr(pos1,2));array[SECOND]=toInt(input.substr(pos2))});function localeIsPM(input){return(input+\"\").toLowerCase().charAt(0)===\"p\"}var defaultLocaleMeridiemParse=/[ap]\\.?m?\\.?/i;function localeMeridiem(hours,minutes,isLower){if(hours>11){return isLower?\"pm\":\"PM\"}else{return isLower?\"am\":\"AM\"}}var getSetHour=makeGetSet(\"Hours\",true);var baseConfig={calendar:defaultCalendar,longDateFormat:defaultLongDateFormat,invalidDate:defaultInvalidDate,ordinal:defaultOrdinal,dayOfMonthOrdinalParse:defaultDayOfMonthOrdinalParse,relativeTime:defaultRelativeTime,months:defaultLocaleMonths,monthsShort:defaultLocaleMonthsShort,week:defaultLocaleWeek,weekdays:defaultLocaleWeekdays,weekdaysMin:defaultLocaleWeekdaysMin,weekdaysShort:defaultLocaleWeekdaysShort,meridiemParse:defaultLocaleMeridiemParse};var locales={};var localeFamilies={};var globalLocale;function normalizeLocale(key){return key?key.toLowerCase().replace(\"_\",\"-\"):key}function chooseLocale(names){var i=0,j,next,locale,split;while(i<names.length){split=normalizeLocale(names[i]).split(\"-\");j=split.length;next=normalizeLocale(names[i+1]);next=next?next.split(\"-\"):null;while(j>0){locale=loadLocale(split.slice(0,j).join(\"-\"));if(locale){return locale}if(next&&next.length>=j&&compareArrays(split,next,true)>=j-1){break}j--}i++}return null}function loadLocale(name){var oldLocale=null;if(!locales[name]&&typeof module!==\"undefined\"&&module&&module.exports){try{oldLocale=globalLocale._abbr;var aliasedRequire=require;!function webpackMissingModule(){var e=new Error('Cannot find module \"./locale\"');e.code=\"MODULE_NOT_FOUND\";throw e}();getSetGlobalLocale(oldLocale)}catch(e){}}return locales[name]}function getSetGlobalLocale(key,values){var data;if(key){if(isUndefined(values)){data=getLocale(key)}else{data=defineLocale(key,values)}if(data){globalLocale=data}}return globalLocale._abbr}function defineLocale(name,config){if(config!==null){var parentConfig=baseConfig;config.abbr=name;if(locales[name]!=null){deprecateSimple(\"defineLocaleOverride\",\"use moment.updateLocale(localeName, config) to change \"+\"an existing locale. moment.defineLocale(localeName, \"+\"config) should only be used for creating a new locale \"+\"See http://momentjs.com/guides/#/warnings/define-locale/ for more info.\");parentConfig=locales[name]._config}else if(config.parentLocale!=null){if(locales[config.parentLocale]!=null){parentConfig=locales[config.parentLocale]._config}else{if(!localeFamilies[config.parentLocale]){localeFamilies[config.parentLocale]=[]}localeFamilies[config.parentLocale].push({name:name,config:config});return null}}locales[name]=new Locale(mergeConfigs(parentConfig,config));if(localeFamilies[name]){localeFamilies[name].forEach(function(x){defineLocale(x.name,x.config)})}getSetGlobalLocale(name);return locales[name]}else{delete locales[name];return null}}function updateLocale(name,config){if(config!=null){var locale,parentConfig=baseConfig;if(locales[name]!=null){parentConfig=locales[name]._config}config=mergeConfigs(parentConfig,config);locale=new Locale(config);locale.parentLocale=locales[name];locales[name]=locale;getSetGlobalLocale(name)}else{if(locales[name]!=null){if(locales[name].parentLocale!=null){locales[name]=locales[name].parentLocale}else if(locales[name]!=null){delete locales[name]}}}return locales[name]}function getLocale(key){var locale;if(key&&key._locale&&key._locale._abbr){key=key._locale._abbr}if(!key){return globalLocale}if(!isArray(key)){locale=loadLocale(key);if(locale){return locale}key=[key]}return chooseLocale(key)}function listLocales(){return keys(locales)}function checkOverflow(m){var overflow;var a=m._a;if(a&&getParsingFlags(m).overflow===-2){overflow=a[MONTH]<0||a[MONTH]>11?MONTH:a[DATE]<1||a[DATE]>daysInMonth(a[YEAR],a[MONTH])?DATE:a[HOUR]<0||a[HOUR]>24||a[HOUR]===24&&(a[MINUTE]!==0||a[SECOND]!==0||a[MILLISECOND]!==0)?HOUR:a[MINUTE]<0||a[MINUTE]>59?MINUTE:a[SECOND]<0||a[SECOND]>59?SECOND:a[MILLISECOND]<0||a[MILLISECOND]>999?MILLISECOND:-1;if(getParsingFlags(m)._overflowDayOfYear&&(overflow<YEAR||overflow>DATE)){overflow=DATE}if(getParsingFlags(m)._overflowWeeks&&overflow===-1){overflow=WEEK}if(getParsingFlags(m)._overflowWeekday&&overflow===-1){overflow=WEEKDAY}getParsingFlags(m).overflow=overflow}return m}function defaults(a,b,c){if(a!=null){return a}if(b!=null){return b}return c}function currentDateArray(config){var nowValue=new Date(hooks.now());if(config._useUTC){return[nowValue.getUTCFullYear(),nowValue.getUTCMonth(),nowValue.getUTCDate()]}return[nowValue.getFullYear(),nowValue.getMonth(),nowValue.getDate()]}function configFromArray(config){var i,date,input=[],currentDate,yearToUse;if(config._d){return}currentDate=currentDateArray(config);if(config._w&&config._a[DATE]==null&&config._a[MONTH]==null){dayOfYearFromWeekInfo(config)}if(config._dayOfYear!=null){yearToUse=defaults(config._a[YEAR],currentDate[YEAR]);if(config._dayOfYear>daysInYear(yearToUse)||config._dayOfYear===0){getParsingFlags(config)._overflowDayOfYear=true}date=createUTCDate(yearToUse,0,config._dayOfYear);config._a[MONTH]=date.getUTCMonth();config._a[DATE]=date.getUTCDate()}for(i=0;i<3&&config._a[i]==null;++i){config._a[i]=input[i]=currentDate[i]}for(;i<7;i++){config._a[i]=input[i]=config._a[i]==null?i===2?1:0:config._a[i]}if(config._a[HOUR]===24&&config._a[MINUTE]===0&&config._a[SECOND]===0&&config._a[MILLISECOND]===0){config._nextDay=true;config._a[HOUR]=0}config._d=(config._useUTC?createUTCDate:createDate).apply(null,input);if(config._tzm!=null){config._d.setUTCMinutes(config._d.getUTCMinutes()-config._tzm)}if(config._nextDay){config._a[HOUR]=24}if(config._w&&typeof config._w.d!==\"undefined\"&&config._w.d!==config._d.getDay()){getParsingFlags(config).weekdayMismatch=true}}function dayOfYearFromWeekInfo(config){var w,weekYear,week,weekday,dow,doy,temp,weekdayOverflow;w=config._w;if(w.GG!=null||w.W!=null||w.E!=null){dow=1;doy=4;weekYear=defaults(w.GG,config._a[YEAR],weekOfYear(createLocal(),1,4).year);week=defaults(w.W,1);weekday=defaults(w.E,1);if(weekday<1||weekday>7){weekdayOverflow=true}}else{dow=config._locale._week.dow;doy=config._locale._week.doy;var curWeek=weekOfYear(createLocal(),dow,doy);weekYear=defaults(w.gg,config._a[YEAR],curWeek.year);week=defaults(w.w,curWeek.week);if(w.d!=null){weekday=w.d;if(weekday<0||weekday>6){weekdayOverflow=true}}else if(w.e!=null){weekday=w.e+dow;if(w.e<0||w.e>6){weekdayOverflow=true}}else{weekday=dow}}if(week<1||week>weeksInYear(weekYear,dow,doy)){getParsingFlags(config)._overflowWeeks=true}else if(weekdayOverflow!=null){getParsingFlags(config)._overflowWeekday=true}else{temp=dayOfYearFromWeeks(weekYear,week,weekday,dow,doy);config._a[YEAR]=temp.year;config._dayOfYear=temp.dayOfYear}}var extendedIsoRegex=/^\\s*((?:[+-]\\d{6}|\\d{4})-(?:\\d\\d-\\d\\d|W\\d\\d-\\d|W\\d\\d|\\d\\d\\d|\\d\\d))(?:(T| )(\\d\\d(?::\\d\\d(?::\\d\\d(?:[.,]\\d+)?)?)?)([\\+\\-]\\d\\d(?::?\\d\\d)?|\\s*Z)?)?$/;var basicIsoRegex=/^\\s*((?:[+-]\\d{6}|\\d{4})(?:\\d\\d\\d\\d|W\\d\\d\\d|W\\d\\d|\\d\\d\\d|\\d\\d))(?:(T| )(\\d\\d(?:\\d\\d(?:\\d\\d(?:[.,]\\d+)?)?)?)([\\+\\-]\\d\\d(?::?\\d\\d)?|\\s*Z)?)?$/;var tzRegex=/Z|[+-]\\d\\d(?::?\\d\\d)?/;var isoDates=[[\"YYYYYY-MM-DD\",/[+-]\\d{6}-\\d\\d-\\d\\d/],[\"YYYY-MM-DD\",/\\d{4}-\\d\\d-\\d\\d/],[\"GGGG-[W]WW-E\",/\\d{4}-W\\d\\d-\\d/],[\"GGGG-[W]WW\",/\\d{4}-W\\d\\d/,false],[\"YYYY-DDD\",/\\d{4}-\\d{3}/],[\"YYYY-MM\",/\\d{4}-\\d\\d/,false],[\"YYYYYYMMDD\",/[+-]\\d{10}/],[\"YYYYMMDD\",/\\d{8}/],[\"GGGG[W]WWE\",/\\d{4}W\\d{3}/],[\"GGGG[W]WW\",/\\d{4}W\\d{2}/,false],[\"YYYYDDD\",/\\d{7}/]];var isoTimes=[[\"HH:mm:ss.SSSS\",/\\d\\d:\\d\\d:\\d\\d\\.\\d+/],[\"HH:mm:ss,SSSS\",/\\d\\d:\\d\\d:\\d\\d,\\d+/],[\"HH:mm:ss\",/\\d\\d:\\d\\d:\\d\\d/],[\"HH:mm\",/\\d\\d:\\d\\d/],[\"HHmmss.SSSS\",/\\d\\d\\d\\d\\d\\d\\.\\d+/],[\"HHmmss,SSSS\",/\\d\\d\\d\\d\\d\\d,\\d+/],[\"HHmmss\",/\\d\\d\\d\\d\\d\\d/],[\"HHmm\",/\\d\\d\\d\\d/],[\"HH\",/\\d\\d/]];var aspNetJsonRegex=/^\\/?Date\\((\\-?\\d+)/i;function configFromISO(config){var i,l,string=config._i,match=extendedIsoRegex.exec(string)||basicIsoRegex.exec(string),allowTime,dateFormat,timeFormat,tzFormat;if(match){getParsingFlags(config).iso=true;for(i=0,l=isoDates.length;i<l;i++){if(isoDates[i][1].exec(match[1])){dateFormat=isoDates[i][0];allowTime=isoDates[i][2]!==false;break}}if(dateFormat==null){config._isValid=false;return}if(match[3]){for(i=0,l=isoTimes.length;i<l;i++){if(isoTimes[i][1].exec(match[3])){timeFormat=(match[2]||\" \")+isoTimes[i][0];break}}if(timeFormat==null){config._isValid=false;return}}if(!allowTime&&timeFormat!=null){config._isValid=false;return}if(match[4]){if(tzRegex.exec(match[4])){tzFormat=\"Z\"}else{config._isValid=false;return}}config._f=dateFormat+(timeFormat||\"\")+(tzFormat||\"\");configFromStringAndFormat(config)}else{config._isValid=false}}var rfc2822=/^(?:(Mon|Tue|Wed|Thu|Fri|Sat|Sun),?\\s)?(\\d{1,2})\\s(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\\s(\\d{2,4})\\s(\\d\\d):(\\d\\d)(?::(\\d\\d))?\\s(?:(UT|GMT|[ECMP][SD]T)|([Zz])|([+-]\\d{4}))$/;function extractFromRFC2822Strings(yearStr,monthStr,dayStr,hourStr,minuteStr,secondStr){var result=[untruncateYear(yearStr),defaultLocaleMonthsShort.indexOf(monthStr),parseInt(dayStr,10),parseInt(hourStr,10),parseInt(minuteStr,10)];if(secondStr){result.push(parseInt(secondStr,10))}return result}function untruncateYear(yearStr){var year=parseInt(yearStr,10);if(year<=49){return 2e3+year}else if(year<=999){return 1900+year}return year}function preprocessRFC2822(s){return s.replace(/\\([^)]*\\)|[\\n\\t]/g,\" \").replace(/(\\s\\s+)/g,\" \").trim()}function checkWeekday(weekdayStr,parsedInput,config){if(weekdayStr){var weekdayProvided=defaultLocaleWeekdaysShort.indexOf(weekdayStr),weekdayActual=new Date(parsedInput[0],parsedInput[1],parsedInput[2]).getDay();if(weekdayProvided!==weekdayActual){getParsingFlags(config).weekdayMismatch=true;config._isValid=false;return false}}return true}var obsOffsets={UT:0,GMT:0,EDT:-4*60,EST:-5*60,CDT:-5*60,CST:-6*60,MDT:-6*60,MST:-7*60,PDT:-7*60,PST:-8*60};function calculateOffset(obsOffset,militaryOffset,numOffset){if(obsOffset){return obsOffsets[obsOffset]}else if(militaryOffset){return 0}else{var hm=parseInt(numOffset,10);var m=hm%100,h=(hm-m)/100;return h*60+m}}function configFromRFC2822(config){var match=rfc2822.exec(preprocessRFC2822(config._i));if(match){var parsedArray=extractFromRFC2822Strings(match[4],match[3],match[2],match[5],match[6],match[7]);if(!checkWeekday(match[1],parsedArray,config)){return}config._a=parsedArray;config._tzm=calculateOffset(match[8],match[9],match[10]);config._d=createUTCDate.apply(null,config._a);config._d.setUTCMinutes(config._d.getUTCMinutes()-config._tzm);getParsingFlags(config).rfc2822=true}else{config._isValid=false}}function configFromString(config){var matched=aspNetJsonRegex.exec(config._i);if(matched!==null){config._d=new Date(+matched[1]);return}configFromISO(config);if(config._isValid===false){delete config._isValid}else{return}configFromRFC2822(config);if(config._isValid===false){delete config._isValid}else{return}hooks.createFromInputFallback(config)}hooks.createFromInputFallback=deprecate(\"value provided is not in a recognized RFC2822 or ISO format. moment construction falls back to js Date(), \"+\"which is not reliable across all browsers and versions. Non RFC2822/ISO date formats are \"+\"discouraged and will be removed in an upcoming major release. Please refer to \"+\"http://momentjs.com/guides/#/warnings/js-date/ for more info.\",function(config){config._d=new Date(config._i+(config._useUTC?\" UTC\":\"\"))});hooks.ISO_8601=function(){};hooks.RFC_2822=function(){};function configFromStringAndFormat(config){if(config._f===hooks.ISO_8601){configFromISO(config);return}if(config._f===hooks.RFC_2822){configFromRFC2822(config);return}config._a=[];getParsingFlags(config).empty=true\n;var string=\"\"+config._i,i,parsedInput,tokens,token,skipped,stringLength=string.length,totalParsedInputLength=0;tokens=expandFormat(config._f,config._locale).match(formattingTokens)||[];for(i=0;i<tokens.length;i++){token=tokens[i];parsedInput=(string.match(getParseRegexForToken(token,config))||[])[0];if(parsedInput){skipped=string.substr(0,string.indexOf(parsedInput));if(skipped.length>0){getParsingFlags(config).unusedInput.push(skipped)}string=string.slice(string.indexOf(parsedInput)+parsedInput.length);totalParsedInputLength+=parsedInput.length}if(formatTokenFunctions[token]){if(parsedInput){getParsingFlags(config).empty=false}else{getParsingFlags(config).unusedTokens.push(token)}addTimeToArrayFromToken(token,parsedInput,config)}else if(config._strict&&!parsedInput){getParsingFlags(config).unusedTokens.push(token)}}getParsingFlags(config).charsLeftOver=stringLength-totalParsedInputLength;if(string.length>0){getParsingFlags(config).unusedInput.push(string)}if(config._a[HOUR]<=12&&getParsingFlags(config).bigHour===true&&config._a[HOUR]>0){getParsingFlags(config).bigHour=undefined}getParsingFlags(config).parsedDateParts=config._a.slice(0);getParsingFlags(config).meridiem=config._meridiem;config._a[HOUR]=meridiemFixWrap(config._locale,config._a[HOUR],config._meridiem);configFromArray(config);checkOverflow(config)}function meridiemFixWrap(locale,hour,meridiem){var isPm;if(meridiem==null){return hour}if(locale.meridiemHour!=null){return locale.meridiemHour(hour,meridiem)}else if(locale.isPM!=null){isPm=locale.isPM(meridiem);if(isPm&&hour<12){hour+=12}if(!isPm&&hour===12){hour=0}return hour}else{return hour}}function configFromStringAndArray(config){var tempConfig,bestMoment,scoreToBeat,i,currentScore;if(config._f.length===0){getParsingFlags(config).invalidFormat=true;config._d=new Date(NaN);return}for(i=0;i<config._f.length;i++){currentScore=0;tempConfig=copyConfig({},config);if(config._useUTC!=null){tempConfig._useUTC=config._useUTC}tempConfig._f=config._f[i];configFromStringAndFormat(tempConfig);if(!isValid(tempConfig)){continue}currentScore+=getParsingFlags(tempConfig).charsLeftOver;currentScore+=getParsingFlags(tempConfig).unusedTokens.length*10;getParsingFlags(tempConfig).score=currentScore;if(scoreToBeat==null||currentScore<scoreToBeat){scoreToBeat=currentScore;bestMoment=tempConfig}}extend(config,bestMoment||tempConfig)}function configFromObject(config){if(config._d){return}var i=normalizeObjectUnits(config._i);config._a=map([i.year,i.month,i.day||i.date,i.hour,i.minute,i.second,i.millisecond],function(obj){return obj&&parseInt(obj,10)});configFromArray(config)}function createFromConfig(config){var res=new Moment(checkOverflow(prepareConfig(config)));if(res._nextDay){res.add(1,\"d\");res._nextDay=undefined}return res}function prepareConfig(config){var input=config._i,format=config._f;config._locale=config._locale||getLocale(config._l);if(input===null||format===undefined&&input===\"\"){return createInvalid({nullInput:true})}if(typeof input===\"string\"){config._i=input=config._locale.preparse(input)}if(isMoment(input)){return new Moment(checkOverflow(input))}else if(isDate(input)){config._d=input}else if(isArray(format)){configFromStringAndArray(config)}else if(format){configFromStringAndFormat(config)}else{configFromInput(config)}if(!isValid(config)){config._d=null}return config}function configFromInput(config){var input=config._i;if(isUndefined(input)){config._d=new Date(hooks.now())}else if(isDate(input)){config._d=new Date(input.valueOf())}else if(typeof input===\"string\"){configFromString(config)}else if(isArray(input)){config._a=map(input.slice(0),function(obj){return parseInt(obj,10)});configFromArray(config)}else if(isObject(input)){configFromObject(config)}else if(isNumber(input)){config._d=new Date(input)}else{hooks.createFromInputFallback(config)}}function createLocalOrUTC(input,format,locale,strict,isUTC){var c={};if(locale===true||locale===false){strict=locale;locale=undefined}if(isObject(input)&&isObjectEmpty(input)||isArray(input)&&input.length===0){input=undefined}c._isAMomentObject=true;c._useUTC=c._isUTC=isUTC;c._l=locale;c._i=input;c._f=format;c._strict=strict;return createFromConfig(c)}function createLocal(input,format,locale,strict){return createLocalOrUTC(input,format,locale,strict,false)}var prototypeMin=deprecate(\"moment().min is deprecated, use moment.max instead. http://momentjs.com/guides/#/warnings/min-max/\",function(){var other=createLocal.apply(null,arguments);if(this.isValid()&&other.isValid()){return other<this?this:other}else{return createInvalid()}});var prototypeMax=deprecate(\"moment().max is deprecated, use moment.min instead. http://momentjs.com/guides/#/warnings/min-max/\",function(){var other=createLocal.apply(null,arguments);if(this.isValid()&&other.isValid()){return other>this?this:other}else{return createInvalid()}});function pickBy(fn,moments){var res,i;if(moments.length===1&&isArray(moments[0])){moments=moments[0]}if(!moments.length){return createLocal()}res=moments[0];for(i=1;i<moments.length;++i){if(!moments[i].isValid()||moments[i][fn](res)){res=moments[i]}}return res}function min(){var args=[].slice.call(arguments,0);return pickBy(\"isBefore\",args)}function max(){var args=[].slice.call(arguments,0);return pickBy(\"isAfter\",args)}var now=function(){return Date.now?Date.now():+new Date};var ordering=[\"year\",\"quarter\",\"month\",\"week\",\"day\",\"hour\",\"minute\",\"second\",\"millisecond\"];function isDurationValid(m){for(var key in m){if(!(indexOf.call(ordering,key)!==-1&&(m[key]==null||!isNaN(m[key])))){return false}}var unitHasDecimal=false;for(var i=0;i<ordering.length;++i){if(m[ordering[i]]){if(unitHasDecimal){return false}if(parseFloat(m[ordering[i]])!==toInt(m[ordering[i]])){unitHasDecimal=true}}}return true}function isValid$1(){return this._isValid}function createInvalid$1(){return createDuration(NaN)}function Duration(duration){var normalizedInput=normalizeObjectUnits(duration),years=normalizedInput.year||0,quarters=normalizedInput.quarter||0,months=normalizedInput.month||0,weeks=normalizedInput.week||0,days=normalizedInput.day||0,hours=normalizedInput.hour||0,minutes=normalizedInput.minute||0,seconds=normalizedInput.second||0,milliseconds=normalizedInput.millisecond||0;this._isValid=isDurationValid(normalizedInput);this._milliseconds=+milliseconds+seconds*1e3+minutes*6e4+hours*1e3*60*60;this._days=+days+weeks*7;this._months=+months+quarters*3+years*12;this._data={};this._locale=getLocale();this._bubble()}function isDuration(obj){return obj instanceof Duration}function absRound(number){if(number<0){return Math.round(-1*number)*-1}else{return Math.round(number)}}function offset(token,separator){addFormatToken(token,0,0,function(){var offset=this.utcOffset();var sign=\"+\";if(offset<0){offset=-offset;sign=\"-\"}return sign+zeroFill(~~(offset/60),2)+separator+zeroFill(~~offset%60,2)})}offset(\"Z\",\":\");offset(\"ZZ\",\"\");addRegexToken(\"Z\",matchShortOffset);addRegexToken(\"ZZ\",matchShortOffset);addParseToken([\"Z\",\"ZZ\"],function(input,array,config){config._useUTC=true;config._tzm=offsetFromString(matchShortOffset,input)});var chunkOffset=/([\\+\\-]|\\d\\d)/gi;function offsetFromString(matcher,string){var matches=(string||\"\").match(matcher);if(matches===null){return null}var chunk=matches[matches.length-1]||[];var parts=(chunk+\"\").match(chunkOffset)||[\"-\",0,0];var minutes=+(parts[1]*60)+toInt(parts[2]);return minutes===0?0:parts[0]===\"+\"?minutes:-minutes}function cloneWithOffset(input,model){var res,diff;if(model._isUTC){res=model.clone();diff=(isMoment(input)||isDate(input)?input.valueOf():createLocal(input).valueOf())-res.valueOf();res._d.setTime(res._d.valueOf()+diff);hooks.updateOffset(res,false);return res}else{return createLocal(input).local()}}function getDateOffset(m){return-Math.round(m._d.getTimezoneOffset()/15)*15}hooks.updateOffset=function(){};function getSetOffset(input,keepLocalTime,keepMinutes){var offset=this._offset||0,localAdjust;if(!this.isValid()){return input!=null?this:NaN}if(input!=null){if(typeof input===\"string\"){input=offsetFromString(matchShortOffset,input);if(input===null){return this}}else if(Math.abs(input)<16&&!keepMinutes){input=input*60}if(!this._isUTC&&keepLocalTime){localAdjust=getDateOffset(this)}this._offset=input;this._isUTC=true;if(localAdjust!=null){this.add(localAdjust,\"m\")}if(offset!==input){if(!keepLocalTime||this._changeInProgress){addSubtract(this,createDuration(input-offset,\"m\"),1,false)}else if(!this._changeInProgress){this._changeInProgress=true;hooks.updateOffset(this,true);this._changeInProgress=null}}return this}else{return this._isUTC?offset:getDateOffset(this)}}function getSetZone(input,keepLocalTime){if(input!=null){if(typeof input!==\"string\"){input=-input}this.utcOffset(input,keepLocalTime);return this}else{return-this.utcOffset()}}function setOffsetToUTC(keepLocalTime){return this.utcOffset(0,keepLocalTime)}function setOffsetToLocal(keepLocalTime){if(this._isUTC){this.utcOffset(0,keepLocalTime);this._isUTC=false;if(keepLocalTime){this.subtract(getDateOffset(this),\"m\")}}return this}function setOffsetToParsedOffset(){if(this._tzm!=null){this.utcOffset(this._tzm,false,true)}else if(typeof this._i===\"string\"){var tZone=offsetFromString(matchOffset,this._i);if(tZone!=null){this.utcOffset(tZone)}else{this.utcOffset(0,true)}}return this}function hasAlignedHourOffset(input){if(!this.isValid()){return false}input=input?createLocal(input).utcOffset():0;return(this.utcOffset()-input)%60===0}function isDaylightSavingTime(){return this.utcOffset()>this.clone().month(0).utcOffset()||this.utcOffset()>this.clone().month(5).utcOffset()}function isDaylightSavingTimeShifted(){if(!isUndefined(this._isDSTShifted)){return this._isDSTShifted}var c={};copyConfig(c,this);c=prepareConfig(c);if(c._a){var other=c._isUTC?createUTC(c._a):createLocal(c._a);this._isDSTShifted=this.isValid()&&compareArrays(c._a,other.toArray())>0}else{this._isDSTShifted=false}return this._isDSTShifted}function isLocal(){return this.isValid()?!this._isUTC:false}function isUtcOffset(){return this.isValid()?this._isUTC:false}function isUtc(){return this.isValid()?this._isUTC&&this._offset===0:false}var aspNetRegex=/^(\\-|\\+)?(?:(\\d*)[. ])?(\\d+)\\:(\\d+)(?:\\:(\\d+)(\\.\\d*)?)?$/;var isoRegex=/^(-|\\+)?P(?:([-+]?[0-9,.]*)Y)?(?:([-+]?[0-9,.]*)M)?(?:([-+]?[0-9,.]*)W)?(?:([-+]?[0-9,.]*)D)?(?:T(?:([-+]?[0-9,.]*)H)?(?:([-+]?[0-9,.]*)M)?(?:([-+]?[0-9,.]*)S)?)?$/;function createDuration(input,key){var duration=input,match=null,sign,ret,diffRes;if(isDuration(input)){duration={ms:input._milliseconds,d:input._days,M:input._months}}else if(isNumber(input)){duration={};if(key){duration[key]=input}else{duration.milliseconds=input}}else if(!!(match=aspNetRegex.exec(input))){sign=match[1]===\"-\"?-1:1;duration={y:0,d:toInt(match[DATE])*sign,h:toInt(match[HOUR])*sign,m:toInt(match[MINUTE])*sign,s:toInt(match[SECOND])*sign,ms:toInt(absRound(match[MILLISECOND]*1e3))*sign}}else if(!!(match=isoRegex.exec(input))){sign=match[1]===\"-\"?-1:match[1]===\"+\"?1:1;duration={y:parseIso(match[2],sign),M:parseIso(match[3],sign),w:parseIso(match[4],sign),d:parseIso(match[5],sign),h:parseIso(match[6],sign),m:parseIso(match[7],sign),s:parseIso(match[8],sign)}}else if(duration==null){duration={}}else if(typeof duration===\"object\"&&(\"from\"in duration||\"to\"in duration)){diffRes=momentsDifference(createLocal(duration.from),createLocal(duration.to));duration={};duration.ms=diffRes.milliseconds;duration.M=diffRes.months}ret=new Duration(duration);if(isDuration(input)&&hasOwnProp(input,\"_locale\")){ret._locale=input._locale}return ret}createDuration.fn=Duration.prototype;createDuration.invalid=createInvalid$1;function parseIso(inp,sign){var res=inp&&parseFloat(inp.replace(\",\",\".\"));return(isNaN(res)?0:res)*sign}function positiveMomentsDifference(base,other){var res={milliseconds:0,months:0};res.months=other.month()-base.month()+(other.year()-base.year())*12;if(base.clone().add(res.months,\"M\").isAfter(other)){--res.months}res.milliseconds=+other-+base.clone().add(res.months,\"M\");return res}function momentsDifference(base,other){var res;if(!(base.isValid()&&other.isValid())){return{milliseconds:0,months:0}}other=cloneWithOffset(other,base);if(base.isBefore(other)){res=positiveMomentsDifference(base,other)}else{res=positiveMomentsDifference(other,base);res.milliseconds=-res.milliseconds;res.months=-res.months}return res}function createAdder(direction,name){return function(val,period){var dur,tmp;if(period!==null&&!isNaN(+period)){deprecateSimple(name,\"moment().\"+name+\"(period, number) is deprecated. Please use moment().\"+name+\"(number, period). \"+\"See http://momentjs.com/guides/#/warnings/add-inverted-param/ for more info.\");tmp=val;val=period;period=tmp}val=typeof val===\"string\"?+val:val;dur=createDuration(val,period);addSubtract(this,dur,direction);return this}}function addSubtract(mom,duration,isAdding,updateOffset){var milliseconds=duration._milliseconds,days=absRound(duration._days),months=absRound(duration._months);if(!mom.isValid()){return}updateOffset=updateOffset==null?true:updateOffset;if(months){setMonth(mom,get(mom,\"Month\")+months*isAdding)}if(days){set$1(mom,\"Date\",get(mom,\"Date\")+days*isAdding)}if(milliseconds){mom._d.setTime(mom._d.valueOf()+milliseconds*isAdding)}if(updateOffset){hooks.updateOffset(mom,days||months)}}var add=createAdder(1,\"add\");var subtract=createAdder(-1,\"subtract\");function getCalendarFormat(myMoment,now){var diff=myMoment.diff(now,\"days\",true);return diff<-6?\"sameElse\":diff<-1?\"lastWeek\":diff<0?\"lastDay\":diff<1?\"sameDay\":diff<2?\"nextDay\":diff<7?\"nextWeek\":\"sameElse\"}function calendar$1(time,formats){var now=time||createLocal(),sod=cloneWithOffset(now,this).startOf(\"day\"),format=hooks.calendarFormat(this,sod)||\"sameElse\";var output=formats&&(isFunction(formats[format])?formats[format].call(this,now):formats[format]);return this.format(output||this.localeData().calendar(format,this,createLocal(now)))}function clone(){return new Moment(this)}function isAfter(input,units){var localInput=isMoment(input)?input:createLocal(input);if(!(this.isValid()&&localInput.isValid())){return false}units=normalizeUnits(!isUndefined(units)?units:\"millisecond\");if(units===\"millisecond\"){return this.valueOf()>localInput.valueOf()}else{return localInput.valueOf()<this.clone().startOf(units).valueOf()}}function isBefore(input,units){var localInput=isMoment(input)?input:createLocal(input);if(!(this.isValid()&&localInput.isValid())){return false}units=normalizeUnits(!isUndefined(units)?units:\"millisecond\");if(units===\"millisecond\"){return this.valueOf()<localInput.valueOf()}else{return this.clone().endOf(units).valueOf()<localInput.valueOf()}}function isBetween(from,to,units,inclusivity){inclusivity=inclusivity||\"()\";return(inclusivity[0]===\"(\"?this.isAfter(from,units):!this.isBefore(from,units))&&(inclusivity[1]===\")\"?this.isBefore(to,units):!this.isAfter(to,units))}function isSame(input,units){var localInput=isMoment(input)?input:createLocal(input),inputMs;if(!(this.isValid()&&localInput.isValid())){return false}units=normalizeUnits(units||\"millisecond\");if(units===\"millisecond\"){return this.valueOf()===localInput.valueOf()}else{inputMs=localInput.valueOf();return this.clone().startOf(units).valueOf()<=inputMs&&inputMs<=this.clone().endOf(units).valueOf()}}function isSameOrAfter(input,units){return this.isSame(input,units)||this.isAfter(input,units)}function isSameOrBefore(input,units){return this.isSame(input,units)||this.isBefore(input,units)}function diff(input,units,asFloat){var that,zoneDelta,delta,output;if(!this.isValid()){return NaN}that=cloneWithOffset(input,this);if(!that.isValid()){return NaN}zoneDelta=(that.utcOffset()-this.utcOffset())*6e4;units=normalizeUnits(units);switch(units){case\"year\":output=monthDiff(this,that)/12;break;case\"month\":output=monthDiff(this,that);break;case\"quarter\":output=monthDiff(this,that)/3;break;case\"second\":output=(this-that)/1e3;break;case\"minute\":output=(this-that)/6e4;break;case\"hour\":output=(this-that)/36e5;break;case\"day\":output=(this-that-zoneDelta)/864e5;break;case\"week\":output=(this-that-zoneDelta)/6048e5;break;default:output=this-that}return asFloat?output:absFloor(output)}function monthDiff(a,b){var wholeMonthDiff=(b.year()-a.year())*12+(b.month()-a.month()),anchor=a.clone().add(wholeMonthDiff,\"months\"),anchor2,adjust;if(b-anchor<0){anchor2=a.clone().add(wholeMonthDiff-1,\"months\");adjust=(b-anchor)/(anchor-anchor2)}else{anchor2=a.clone().add(wholeMonthDiff+1,\"months\");adjust=(b-anchor)/(anchor2-anchor)}return-(wholeMonthDiff+adjust)||0}hooks.defaultFormat=\"YYYY-MM-DDTHH:mm:ssZ\";hooks.defaultFormatUtc=\"YYYY-MM-DDTHH:mm:ss[Z]\";function toString(){return this.clone().locale(\"en\").format(\"ddd MMM DD YYYY HH:mm:ss [GMT]ZZ\")}function toISOString(){if(!this.isValid()){return null}var m=this.clone().utc();if(m.year()<0||m.year()>9999){return formatMoment(m,\"YYYYYY-MM-DD[T]HH:mm:ss.SSS[Z]\")}if(isFunction(Date.prototype.toISOString)){return this.toDate().toISOString()}return formatMoment(m,\"YYYY-MM-DD[T]HH:mm:ss.SSS[Z]\")}function inspect(){if(!this.isValid()){return\"moment.invalid(/* \"+this._i+\" */)\"}var func=\"moment\";var zone=\"\";if(!this.isLocal()){func=this.utcOffset()===0?\"moment.utc\":\"moment.parseZone\";zone=\"Z\"}var prefix=\"[\"+func+'(\"]';var year=0<=this.year()&&this.year()<=9999?\"YYYY\":\"YYYYYY\";var datetime=\"-MM-DD[T]HH:mm:ss.SSS\";var suffix=zone+'[\")]';return this.format(prefix+year+datetime+suffix)}function format(inputString){if(!inputString){inputString=this.isUtc()?hooks.defaultFormatUtc:hooks.defaultFormat}var output=formatMoment(this,inputString);return this.localeData().postformat(output)}function from(time,withoutSuffix){if(this.isValid()&&(isMoment(time)&&time.isValid()||createLocal(time).isValid())){return createDuration({to:this,from:time}).locale(this.locale()).humanize(!withoutSuffix)}else{return this.localeData().invalidDate()}}function fromNow(withoutSuffix){return this.from(createLocal(),withoutSuffix)}function to(time,withoutSuffix){if(this.isValid()&&(isMoment(time)&&time.isValid()||createLocal(time).isValid())){return createDuration({from:this,to:time}).locale(this.locale()).humanize(!withoutSuffix)}else{return this.localeData().invalidDate()}}function toNow(withoutSuffix){return this.to(createLocal(),withoutSuffix)}function locale(key){var newLocaleData;if(key===undefined){return this._locale._abbr}else{newLocaleData=getLocale(key);if(newLocaleData!=null){this._locale=newLocaleData}return this}}var lang=deprecate(\"moment().lang() is deprecated. Instead, use moment().localeData() to get the language configuration. Use moment().locale() to change languages.\",function(key){if(key===undefined){return this.localeData()}else{return this.locale(key)}});function localeData(){return this._locale}function startOf(units){units=normalizeUnits(units);switch(units){case\"year\":this.month(0);case\"quarter\":case\"month\":this.date(1);case\"week\":case\"isoWeek\":case\"day\":case\"date\":this.hours(0);case\"hour\":this.minutes(0);case\"minute\":this.seconds(0);case\"second\":this.milliseconds(0)}if(units===\"week\"){this.weekday(0)}if(units===\"isoWeek\"){this.isoWeekday(1)}if(units===\"quarter\"){this.month(Math.floor(this.month()/3)*3)}return this}function endOf(units){units=normalizeUnits(units);if(units===undefined||units===\"millisecond\"){return this}if(units===\"date\"){units=\"day\"}return this.startOf(units).add(1,units===\"isoWeek\"?\"week\":units).subtract(1,\"ms\")}function valueOf(){return this._d.valueOf()-(this._offset||0)*6e4}function unix(){return Math.floor(this.valueOf()/1e3)}function toDate(){return new Date(this.valueOf())}function toArray(){var m=this;return[m.year(),m.month(),m.date(),m.hour(),m.minute(),m.second(),m.millisecond()]}function toObject(){var m=this;return{years:m.year(),months:m.month(),date:m.date(),hours:m.hours(),minutes:m.minutes(),seconds:m.seconds(),milliseconds:m.milliseconds()}}function toJSON(){return this.isValid()?this.toISOString():null}function isValid$2(){return isValid(this)}function parsingFlags(){return extend({},getParsingFlags(this))}function invalidAt(){return getParsingFlags(this).overflow}function creationData(){return{input:this._i,format:this._f,locale:this._locale,isUTC:this._isUTC,strict:this._strict}}addFormatToken(0,[\"gg\",2],0,function(){return this.weekYear()%100});addFormatToken(0,[\"GG\",2],0,function(){return this.isoWeekYear()%100});function addWeekYearFormatToken(token,getter){addFormatToken(0,[token,token.length],0,getter)}addWeekYearFormatToken(\"gggg\",\"weekYear\");addWeekYearFormatToken(\"ggggg\",\"weekYear\");addWeekYearFormatToken(\"GGGG\",\"isoWeekYear\");addWeekYearFormatToken(\"GGGGG\",\"isoWeekYear\");addUnitAlias(\"weekYear\",\"gg\");addUnitAlias(\"isoWeekYear\",\"GG\");addUnitPriority(\"weekYear\",1);addUnitPriority(\"isoWeekYear\",1);addRegexToken(\"G\",matchSigned);addRegexToken(\"g\",matchSigned);addRegexToken(\"GG\",match1to2,match2);addRegexToken(\"gg\",match1to2,match2);addRegexToken(\"GGGG\",match1to4,match4);addRegexToken(\"gggg\",match1to4,match4);addRegexToken(\"GGGGG\",match1to6,match6);addRegexToken(\"ggggg\",match1to6,match6);addWeekParseToken([\"gggg\",\"ggggg\",\"GGGG\",\"GGGGG\"],function(input,week,config,token){week[token.substr(0,2)]=toInt(input)});addWeekParseToken([\"gg\",\"GG\"],function(input,week,config,token){week[token]=hooks.parseTwoDigitYear(input)});function getSetWeekYear(input){return getSetWeekYearHelper.call(this,input,this.week(),this.weekday(),this.localeData()._week.dow,this.localeData()._week.doy)}function getSetISOWeekYear(input){return getSetWeekYearHelper.call(this,input,this.isoWeek(),this.isoWeekday(),1,4)}function getISOWeeksInYear(){return weeksInYear(this.year(),1,4)}function getWeeksInYear(){var weekInfo=this.localeData()._week;return weeksInYear(this.year(),weekInfo.dow,weekInfo.doy)}function getSetWeekYearHelper(input,week,weekday,dow,doy){var weeksTarget;if(input==null){return weekOfYear(this,dow,doy).year}else{weeksTarget=weeksInYear(input,dow,doy);if(week>weeksTarget){week=weeksTarget}return setWeekAll.call(this,input,week,weekday,dow,doy)}}function setWeekAll(weekYear,week,weekday,dow,doy){var dayOfYearData=dayOfYearFromWeeks(weekYear,week,weekday,dow,doy),date=createUTCDate(dayOfYearData.year,0,dayOfYearData.dayOfYear);this.year(date.getUTCFullYear());this.month(date.getUTCMonth());this.date(date.getUTCDate());return this}addFormatToken(\"Q\",0,\"Qo\",\"quarter\");addUnitAlias(\"quarter\",\"Q\");addUnitPriority(\"quarter\",7);addRegexToken(\"Q\",match1);addParseToken(\"Q\",function(input,array){array[MONTH]=(toInt(input)-1)*3});function getSetQuarter(input){return input==null?Math.ceil((this.month()+1)/3):this.month((input-1)*3+this.month()%3)}addFormatToken(\"D\",[\"DD\",2],\"Do\",\"date\");addUnitAlias(\"date\",\"D\");addUnitPriority(\"date\",9);addRegexToken(\"D\",match1to2);addRegexToken(\"DD\",match1to2,match2);addRegexToken(\"Do\",function(isStrict,locale){return isStrict?locale._dayOfMonthOrdinalParse||locale._ordinalParse:locale._dayOfMonthOrdinalParseLenient});addParseToken([\"D\",\"DD\"],DATE);addParseToken(\"Do\",function(input,array){array[DATE]=toInt(input.match(match1to2)[0],10)});var getSetDayOfMonth=makeGetSet(\"Date\",true);addFormatToken(\"DDD\",[\"DDDD\",3],\"DDDo\",\"dayOfYear\");addUnitAlias(\"dayOfYear\",\"DDD\");addUnitPriority(\"dayOfYear\",4);addRegexToken(\"DDD\",match1to3);addRegexToken(\"DDDD\",match3);addParseToken([\"DDD\",\"DDDD\"],function(input,array,config){config._dayOfYear=toInt(input)});function getSetDayOfYear(input){var dayOfYear=Math.round((this.clone().startOf(\"day\")-this.clone().startOf(\"year\"))/864e5)+1;return input==null?dayOfYear:this.add(input-dayOfYear,\"d\")}addFormatToken(\"m\",[\"mm\",2],0,\"minute\");addUnitAlias(\"minute\",\"m\");addUnitPriority(\"minute\",14);addRegexToken(\"m\",match1to2);addRegexToken(\"mm\",match1to2,match2);addParseToken([\"m\",\"mm\"],MINUTE);var getSetMinute=makeGetSet(\"Minutes\",false);addFormatToken(\"s\",[\"ss\",2],0,\"second\");addUnitAlias(\"second\",\"s\");addUnitPriority(\"second\",15);addRegexToken(\"s\",match1to2);addRegexToken(\"ss\",match1to2,match2);addParseToken([\"s\",\"ss\"],SECOND);var getSetSecond=makeGetSet(\"Seconds\",false);addFormatToken(\"S\",0,0,function(){return~~(this.millisecond()/100)});addFormatToken(0,[\"SS\",2],0,function(){return~~(this.millisecond()/10)});addFormatToken(0,[\"SSS\",3],0,\"millisecond\");addFormatToken(0,[\"SSSS\",4],0,function(){return this.millisecond()*10});addFormatToken(0,[\"SSSSS\",5],0,function(){return this.millisecond()*100});addFormatToken(0,[\"SSSSSS\",6],0,function(){return this.millisecond()*1e3});addFormatToken(0,[\"SSSSSSS\",7],0,function(){return this.millisecond()*1e4});addFormatToken(0,[\"SSSSSSSS\",8],0,function(){return this.millisecond()*1e5});addFormatToken(0,[\"SSSSSSSSS\",9],0,function(){return this.millisecond()*1e6});addUnitAlias(\"millisecond\",\"ms\");addUnitPriority(\"millisecond\",16);addRegexToken(\"S\",match1to3,match1);addRegexToken(\"SS\",match1to3,match2);addRegexToken(\"SSS\",match1to3,match3);var token;for(token=\"SSSS\";token.length<=9;token+=\"S\"){addRegexToken(token,matchUnsigned)}function parseMs(input,array){array[MILLISECOND]=toInt((\"0.\"+input)*1e3)}for(token=\"S\";token.length<=9;token+=\"S\"){addParseToken(token,parseMs)}var getSetMillisecond=makeGetSet(\"Milliseconds\",false);addFormatToken(\"z\",0,0,\"zoneAbbr\");addFormatToken(\"zz\",0,0,\"zoneName\");function getZoneAbbr(){return this._isUTC?\"UTC\":\"\"}function getZoneName(){return this._isUTC?\"Coordinated Universal Time\":\"\"}var proto=Moment.prototype;proto.add=add;proto.calendar=calendar$1;proto.clone=clone;proto.diff=diff;proto.endOf=endOf;proto.format=format;proto.from=from;proto.fromNow=fromNow;proto.to=to;proto.toNow=toNow;proto.get=stringGet;proto.invalidAt=invalidAt;proto.isAfter=isAfter;proto.isBefore=isBefore;proto.isBetween=isBetween;proto.isSame=isSame;proto.isSameOrAfter=isSameOrAfter;proto.isSameOrBefore=isSameOrBefore;proto.isValid=isValid$2;proto.lang=lang;proto.locale=locale;proto.localeData=localeData;proto.max=prototypeMax;proto.min=prototypeMin;proto.parsingFlags=parsingFlags;proto.set=stringSet;proto.startOf=startOf;proto.subtract=subtract;proto.toArray=toArray;proto.toObject=toObject;proto.toDate=toDate;proto.toISOString=toISOString;proto.inspect=inspect;proto.toJSON=toJSON;proto.toString=toString;proto.unix=unix;proto.valueOf=valueOf;proto.creationData=creationData;proto.year=getSetYear;proto.isLeapYear=getIsLeapYear;proto.weekYear=getSetWeekYear;proto.isoWeekYear=getSetISOWeekYear;proto.quarter=proto.quarters=getSetQuarter;proto.month=getSetMonth;proto.daysInMonth=getDaysInMonth;proto.week=proto.weeks=getSetWeek;proto.isoWeek=proto.isoWeeks=getSetISOWeek;proto.weeksInYear=getWeeksInYear;proto.isoWeeksInYear=getISOWeeksInYear;proto.date=getSetDayOfMonth;proto.day=proto.days=getSetDayOfWeek;proto.weekday=getSetLocaleDayOfWeek;proto.isoWeekday=getSetISODayOfWeek;proto.dayOfYear=getSetDayOfYear;proto.hour=proto.hours=getSetHour;proto.minute=proto.minutes=getSetMinute;proto.second=proto.seconds=getSetSecond;proto.millisecond=proto.milliseconds=getSetMillisecond;proto.utcOffset=getSetOffset;proto.utc=setOffsetToUTC;proto.local=setOffsetToLocal;proto.parseZone=setOffsetToParsedOffset;proto.hasAlignedHourOffset=hasAlignedHourOffset;proto.isDST=isDaylightSavingTime;proto.isLocal=isLocal;proto.isUtcOffset=isUtcOffset;proto.isUtc=isUtc;proto.isUTC=isUtc;proto.zoneAbbr=getZoneAbbr;proto.zoneName=getZoneName;proto.dates=deprecate(\"dates accessor is deprecated. Use date instead.\",getSetDayOfMonth);proto.months=deprecate(\"months accessor is deprecated. Use month instead\",getSetMonth);proto.years=deprecate(\"years accessor is deprecated. Use year instead\",getSetYear);proto.zone=deprecate(\"moment().zone is deprecated, use moment().utcOffset instead. http://momentjs.com/guides/#/warnings/zone/\",getSetZone);proto.isDSTShifted=deprecate(\"isDSTShifted is deprecated. See http://momentjs.com/guides/#/warnings/dst-shifted/ for more information\",isDaylightSavingTimeShifted);function createUnix(input){return createLocal(input*1e3)}function createInZone(){return createLocal.apply(null,arguments).parseZone()}function preParsePostFormat(string){return string}var proto$1=Locale.prototype;proto$1.calendar=calendar;proto$1.longDateFormat=longDateFormat;proto$1.invalidDate=invalidDate;proto$1.ordinal=ordinal;proto$1.preparse=preParsePostFormat;proto$1.postformat=preParsePostFormat;proto$1.relativeTime=relativeTime;proto$1.pastFuture=pastFuture;proto$1.set=set;proto$1.months=localeMonths;proto$1.monthsShort=localeMonthsShort;proto$1.monthsParse=localeMonthsParse;proto$1.monthsRegex=monthsRegex;proto$1.monthsShortRegex=monthsShortRegex;proto$1.week=localeWeek;proto$1.firstDayOfYear=localeFirstDayOfYear;proto$1.firstDayOfWeek=localeFirstDayOfWeek;proto$1.weekdays=localeWeekdays;proto$1.weekdaysMin=localeWeekdaysMin;proto$1.weekdaysShort=localeWeekdaysShort;proto$1.weekdaysParse=localeWeekdaysParse;proto$1.weekdaysRegex=weekdaysRegex;proto$1.weekdaysShortRegex=weekdaysShortRegex;proto$1.weekdaysMinRegex=weekdaysMinRegex;proto$1.isPM=localeIsPM;proto$1.meridiem=localeMeridiem;function get$1(format,index,field,setter){var locale=getLocale();var utc=createUTC().set(setter,index);return locale[field](utc,format)}function listMonthsImpl(format,index,field){if(isNumber(format)){index=format;format=undefined}format=format||\"\";if(index!=null){return get$1(format,index,field,\"month\")}var i;var out=[];for(i=0;i<12;i++){out[i]=get$1(format,i,field,\"month\")}return out}function listWeekdaysImpl(localeSorted,format,index,field){if(typeof localeSorted===\"boolean\"){if(isNumber(format)){index=format;format=undefined}format=format||\"\"}else{format=localeSorted;index=format;localeSorted=false;if(isNumber(format)){index=format;format=undefined}format=format||\"\"}var locale=getLocale(),shift=localeSorted?locale._week.dow:0;if(index!=null){return get$1(format,(index+shift)%7,field,\"day\")}var i;var out=[];for(i=0;i<7;i++){out[i]=get$1(format,(i+shift)%7,field,\"day\")}return out}function listMonths(format,index){return listMonthsImpl(format,index,\"months\")}function listMonthsShort(format,index){return listMonthsImpl(format,index,\"monthsShort\")}function listWeekdays(localeSorted,format,index){return listWeekdaysImpl(localeSorted,format,index,\"weekdays\")}function listWeekdaysShort(localeSorted,format,index){return listWeekdaysImpl(localeSorted,format,index,\"weekdaysShort\")}function listWeekdaysMin(localeSorted,format,index){return listWeekdaysImpl(localeSorted,format,index,\"weekdaysMin\")}getSetGlobalLocale(\"en\",{dayOfMonthOrdinalParse:/\\d{1,2}(th|st|nd|rd)/,ordinal:function(number){var b=number%10,output=toInt(number%100/10)===1?\"th\":b===1?\"st\":b===2?\"nd\":b===3?\"rd\":\"th\";return number+output}});hooks.lang=deprecate(\"moment.lang is deprecated. Use moment.locale instead.\",getSetGlobalLocale);hooks.langData=deprecate(\"moment.langData is deprecated. Use moment.localeData instead.\",getLocale);var mathAbs=Math.abs;function abs(){var data=this._data;this._milliseconds=mathAbs(this._milliseconds);this._days=mathAbs(this._days);this._months=mathAbs(this._months);data.milliseconds=mathAbs(data.milliseconds);data.seconds=mathAbs(data.seconds);data.minutes=mathAbs(data.minutes);data.hours=mathAbs(data.hours);data.months=mathAbs(data.months);data.years=mathAbs(data.years);return this}function addSubtract$1(duration,input,value,direction){var other=createDuration(input,value);duration._milliseconds+=direction*other._milliseconds;duration._days+=direction*other._days;duration._months+=direction*other._months;return duration._bubble()}function add$1(input,value){return addSubtract$1(this,input,value,1)}function subtract$1(input,value){return addSubtract$1(this,input,value,-1)}function absCeil(number){if(number<0){return Math.floor(number)}else{return Math.ceil(number)}}function bubble(){var milliseconds=this._milliseconds;var days=this._days;var months=this._months;var data=this._data;var seconds,minutes,hours,years,monthsFromDays;if(!(milliseconds>=0&&days>=0&&months>=0||milliseconds<=0&&days<=0&&months<=0)){milliseconds+=absCeil(monthsToDays(months)+days)*864e5;days=0;months=0}data.milliseconds=milliseconds%1e3;seconds=absFloor(milliseconds/1e3);data.seconds=seconds%60;minutes=absFloor(seconds/60)\n;data.minutes=minutes%60;hours=absFloor(minutes/60);data.hours=hours%24;days+=absFloor(hours/24);monthsFromDays=absFloor(daysToMonths(days));months+=monthsFromDays;days-=absCeil(monthsToDays(monthsFromDays));years=absFloor(months/12);months%=12;data.days=days;data.months=months;data.years=years;return this}function daysToMonths(days){return days*4800/146097}function monthsToDays(months){return months*146097/4800}function as(units){if(!this.isValid()){return NaN}var days;var months;var milliseconds=this._milliseconds;units=normalizeUnits(units);if(units===\"month\"||units===\"year\"){days=this._days+milliseconds/864e5;months=this._months+daysToMonths(days);return units===\"month\"?months:months/12}else{days=this._days+Math.round(monthsToDays(this._months));switch(units){case\"week\":return days/7+milliseconds/6048e5;case\"day\":return days+milliseconds/864e5;case\"hour\":return days*24+milliseconds/36e5;case\"minute\":return days*1440+milliseconds/6e4;case\"second\":return days*86400+milliseconds/1e3;case\"millisecond\":return Math.floor(days*864e5)+milliseconds;default:throw new Error(\"Unknown unit \"+units)}}}function valueOf$1(){if(!this.isValid()){return NaN}return this._milliseconds+this._days*864e5+this._months%12*2592e6+toInt(this._months/12)*31536e6}function makeAs(alias){return function(){return this.as(alias)}}var asMilliseconds=makeAs(\"ms\");var asSeconds=makeAs(\"s\");var asMinutes=makeAs(\"m\");var asHours=makeAs(\"h\");var asDays=makeAs(\"d\");var asWeeks=makeAs(\"w\");var asMonths=makeAs(\"M\");var asYears=makeAs(\"y\");function clone$1(){return createDuration(this)}function get$2(units){units=normalizeUnits(units);return this.isValid()?this[units+\"s\"]():NaN}function makeGetter(name){return function(){return this.isValid()?this._data[name]:NaN}}var milliseconds=makeGetter(\"milliseconds\");var seconds=makeGetter(\"seconds\");var minutes=makeGetter(\"minutes\");var hours=makeGetter(\"hours\");var days=makeGetter(\"days\");var months=makeGetter(\"months\");var years=makeGetter(\"years\");function weeks(){return absFloor(this.days()/7)}var round=Math.round;var thresholds={ss:44,s:45,m:45,h:22,d:26,M:11};function substituteTimeAgo(string,number,withoutSuffix,isFuture,locale){return locale.relativeTime(number||1,!!withoutSuffix,string,isFuture)}function relativeTime$1(posNegDuration,withoutSuffix,locale){var duration=createDuration(posNegDuration).abs();var seconds=round(duration.as(\"s\"));var minutes=round(duration.as(\"m\"));var hours=round(duration.as(\"h\"));var days=round(duration.as(\"d\"));var months=round(duration.as(\"M\"));var years=round(duration.as(\"y\"));var a=seconds<=thresholds.ss&&[\"s\",seconds]||seconds<thresholds.s&&[\"ss\",seconds]||minutes<=1&&[\"m\"]||minutes<thresholds.m&&[\"mm\",minutes]||hours<=1&&[\"h\"]||hours<thresholds.h&&[\"hh\",hours]||days<=1&&[\"d\"]||days<thresholds.d&&[\"dd\",days]||months<=1&&[\"M\"]||months<thresholds.M&&[\"MM\",months]||years<=1&&[\"y\"]||[\"yy\",years];a[2]=withoutSuffix;a[3]=+posNegDuration>0;a[4]=locale;return substituteTimeAgo.apply(null,a)}function getSetRelativeTimeRounding(roundingFunction){if(roundingFunction===undefined){return round}if(typeof roundingFunction===\"function\"){round=roundingFunction;return true}return false}function getSetRelativeTimeThreshold(threshold,limit){if(thresholds[threshold]===undefined){return false}if(limit===undefined){return thresholds[threshold]}thresholds[threshold]=limit;if(threshold===\"s\"){thresholds.ss=limit-1}return true}function humanize(withSuffix){if(!this.isValid()){return this.localeData().invalidDate()}var locale=this.localeData();var output=relativeTime$1(this,!withSuffix,locale);if(withSuffix){output=locale.pastFuture(+this,output)}return locale.postformat(output)}var abs$1=Math.abs;function sign(x){return(x>0)-(x<0)||+x}function toISOString$1(){if(!this.isValid()){return this.localeData().invalidDate()}var seconds=abs$1(this._milliseconds)/1e3;var days=abs$1(this._days);var months=abs$1(this._months);var minutes,hours,years;minutes=absFloor(seconds/60);hours=absFloor(minutes/60);seconds%=60;minutes%=60;years=absFloor(months/12);months%=12;var Y=years;var M=months;var D=days;var h=hours;var m=minutes;var s=seconds?seconds.toFixed(3).replace(/\\.?0+$/,\"\"):\"\";var total=this.asSeconds();if(!total){return\"P0D\"}var totalSign=total<0?\"-\":\"\";var ymSign=sign(this._months)!==sign(total)?\"-\":\"\";var daysSign=sign(this._days)!==sign(total)?\"-\":\"\";var hmsSign=sign(this._milliseconds)!==sign(total)?\"-\":\"\";return totalSign+\"P\"+(Y?ymSign+Y+\"Y\":\"\")+(M?ymSign+M+\"M\":\"\")+(D?daysSign+D+\"D\":\"\")+(h||m||s?\"T\":\"\")+(h?hmsSign+h+\"H\":\"\")+(m?hmsSign+m+\"M\":\"\")+(s?hmsSign+s+\"S\":\"\")}var proto$2=Duration.prototype;proto$2.isValid=isValid$1;proto$2.abs=abs;proto$2.add=add$1;proto$2.subtract=subtract$1;proto$2.as=as;proto$2.asMilliseconds=asMilliseconds;proto$2.asSeconds=asSeconds;proto$2.asMinutes=asMinutes;proto$2.asHours=asHours;proto$2.asDays=asDays;proto$2.asWeeks=asWeeks;proto$2.asMonths=asMonths;proto$2.asYears=asYears;proto$2.valueOf=valueOf$1;proto$2._bubble=bubble;proto$2.clone=clone$1;proto$2.get=get$2;proto$2.milliseconds=milliseconds;proto$2.seconds=seconds;proto$2.minutes=minutes;proto$2.hours=hours;proto$2.days=days;proto$2.weeks=weeks;proto$2.months=months;proto$2.years=years;proto$2.humanize=humanize;proto$2.toISOString=toISOString$1;proto$2.toString=toISOString$1;proto$2.toJSON=toISOString$1;proto$2.locale=locale;proto$2.localeData=localeData;proto$2.toIsoString=deprecate(\"toIsoString() is deprecated. Please use toISOString() instead (notice the capitals)\",toISOString$1);proto$2.lang=lang;addFormatToken(\"X\",0,0,\"unix\");addFormatToken(\"x\",0,0,\"valueOf\");addRegexToken(\"x\",matchSigned);addRegexToken(\"X\",matchTimestamp);addParseToken(\"X\",function(input,array,config){config._d=new Date(parseFloat(input,10)*1e3)});addParseToken(\"x\",function(input,array,config){config._d=new Date(toInt(input))});hooks.version=\"2.19.1\";setHookCallback(createLocal);hooks.fn=proto;hooks.min=min;hooks.max=max;hooks.now=now;hooks.utc=createUTC;hooks.unix=createUnix;hooks.months=listMonths;hooks.isDate=isDate;hooks.locale=getSetGlobalLocale;hooks.invalid=createInvalid;hooks.duration=createDuration;hooks.isMoment=isMoment;hooks.weekdays=listWeekdays;hooks.parseZone=createInZone;hooks.localeData=getLocale;hooks.isDuration=isDuration;hooks.monthsShort=listMonthsShort;hooks.weekdaysMin=listWeekdaysMin;hooks.defineLocale=defineLocale;hooks.updateLocale=updateLocale;hooks.locales=listLocales;hooks.weekdaysShort=listWeekdaysShort;hooks.normalizeUnits=normalizeUnits;hooks.relativeTimeRounding=getSetRelativeTimeRounding;hooks.relativeTimeThreshold=getSetRelativeTimeThreshold;hooks.calendarFormat=getCalendarFormat;hooks.prototype=proto;return hooks})}).call(exports,__webpack_require__(155)(module))},function(module,exports){module.exports=function(module){if(!module.webpackPolyfill){module.deprecate=function(){};module.paths=[];if(!module.children)module.children=[];Object.defineProperty(module,\"loaded\",{enumerable:true,get:function(){return module.l}});Object.defineProperty(module,\"id\",{enumerable:true,get:function(){return module.i}});module.webpackPolyfill=1}return module}},function(module,exports){function webpackEmptyContext(req){throw new Error(\"Cannot find module '\"+req+\"'.\")}webpackEmptyContext.keys=function(){return[]};webpackEmptyContext.resolve=webpackEmptyContext;module.exports=webpackEmptyContext;webpackEmptyContext.id=156},function(module,exports,__webpack_require__){\"use strict\";(function(global){var _rng;var globalVar=typeof window!==\"undefined\"?window:typeof global!==\"undefined\"?global:null;if(globalVar&&globalVar.crypto&&crypto.getRandomValues){var _rnds8=new Uint8Array(16);_rng=function whatwgRNG(){crypto.getRandomValues(_rnds8);return _rnds8}}if(!_rng){var _rnds=new Array(16);_rng=function _rng(){for(var i=0,r;i<16;i++){if((i&3)===0)r=Math.random()*4294967296;_rnds[i]=r>>>((i&3)<<3)&255}return _rnds}}var _byteToHex=[];var _hexToByte={};for(var i=0;i<256;i++){_byteToHex[i]=(i+256).toString(16).substr(1);_hexToByte[_byteToHex[i]]=i}function parse(s,buf,offset){var i=buf&&offset||0,ii=0;buf=buf||[];s.toLowerCase().replace(/[0-9a-f]{2}/g,function(oct){if(ii<16){buf[i+ii++]=_hexToByte[oct]}});while(ii<16){buf[i+ii++]=0}return buf}function unparse(buf,offset){var i=offset||0,bth=_byteToHex;return bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]}var _seedBytes=_rng();var _nodeId=[_seedBytes[0]|1,_seedBytes[1],_seedBytes[2],_seedBytes[3],_seedBytes[4],_seedBytes[5]];var _clockseq=(_seedBytes[6]<<8|_seedBytes[7])&16383;var _lastMSecs=0,_lastNSecs=0;function v1(options,buf,offset){var i=buf&&offset||0;var b=buf||[];options=options||{};var clockseq=options.clockseq!==undefined?options.clockseq:_clockseq;var msecs=options.msecs!==undefined?options.msecs:(new Date).getTime();var nsecs=options.nsecs!==undefined?options.nsecs:_lastNSecs+1;var dt=msecs-_lastMSecs+(nsecs-_lastNSecs)/1e4;if(dt<0&&options.clockseq===undefined){clockseq=clockseq+1&16383}if((dt<0||msecs>_lastMSecs)&&options.nsecs===undefined){nsecs=0}if(nsecs>=1e4){throw new Error(\"uuid.v1(): Can't create more than 10M uuids/sec\")}_lastMSecs=msecs;_lastNSecs=nsecs;_clockseq=clockseq;msecs+=122192928e5;var tl=((msecs&268435455)*1e4+nsecs)%4294967296;b[i++]=tl>>>24&255;b[i++]=tl>>>16&255;b[i++]=tl>>>8&255;b[i++]=tl&255;var tmh=msecs/4294967296*1e4&268435455;b[i++]=tmh>>>8&255;b[i++]=tmh&255;b[i++]=tmh>>>24&15|16;b[i++]=tmh>>>16&255;b[i++]=clockseq>>>8|128;b[i++]=clockseq&255;var node=options.node||_nodeId;for(var n=0;n<6;n++){b[i+n]=node[n]}return buf?buf:unparse(b)}function v4(options,buf,offset){var i=buf&&offset||0;if(typeof options==\"string\"){buf=options==\"binary\"?new Array(16):null;options=null}options=options||{};var rnds=options.random||(options.rng||_rng)();rnds[6]=rnds[6]&15|64;rnds[8]=rnds[8]&63|128;if(buf){for(var ii=0;ii<16;ii++){buf[i+ii]=rnds[ii]}}return buf||unparse(rnds)}var uuid=v4;uuid.v1=v1;uuid.v4=v4;uuid.parse=parse;uuid.unparse=unparse;module.exports=uuid}).call(exports,__webpack_require__(158))},function(module,exports){var g;g=function(){return this}();try{g=g||Function(\"return this\")()||(1,eval)(\"this\")}catch(e){if(typeof window===\"object\")g=window}module.exports=g},function(module,exports,__webpack_require__){\"use strict\";exports.util=__webpack_require__(2);exports.DOMutil=__webpack_require__(14);exports.DataSet=__webpack_require__(11);exports.DataView=__webpack_require__(12);exports.Queue=__webpack_require__(43);exports.Graph3d=__webpack_require__(161);exports.graph3d={Camera:__webpack_require__(95),Filter:__webpack_require__(96),Point2d:__webpack_require__(91),Point3d:__webpack_require__(34),Slider:__webpack_require__(92),StepNumber:__webpack_require__(93)};exports.moment=__webpack_require__(9);exports.Hammer=__webpack_require__(10);exports.keycharm=__webpack_require__(35)},function(module,exports,__webpack_require__){var core=__webpack_require__(7);var $JSON=core.JSON||(core.JSON={stringify:JSON.stringify});module.exports=function stringify(it){return $JSON.stringify.apply($JSON,arguments)}},function(module,exports,__webpack_require__){\"use strict\";var _assign=__webpack_require__(90);var _assign2=_interopRequireDefault(_assign);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Emitter=__webpack_require__(44);var util=__webpack_require__(2);var Point3d=__webpack_require__(34);var Point2d=__webpack_require__(91);var Slider=__webpack_require__(92);var StepNumber=__webpack_require__(93);var Settings=__webpack_require__(94);var Validator=__webpack_require__(15)[\"default\"];var _require=__webpack_require__(15),printStyle=_require.printStyle;var _require2=__webpack_require__(172),allOptions=_require2.allOptions;var DataGroup=__webpack_require__(173);Graph3d.STYLE=Settings.STYLE;var autoByDefault=undefined;Graph3d.DEFAULTS={width:\"400px\",height:\"400px\",filterLabel:\"time\",legendLabel:\"value\",xLabel:\"x\",yLabel:\"y\",zLabel:\"z\",xValueLabel:function xValueLabel(v){return v},yValueLabel:function yValueLabel(v){return v},zValueLabel:function zValueLabel(v){return v},showXAxis:true,showYAxis:true,showZAxis:true,showGrid:true,showPerspective:true,showShadow:false,keepAspectRatio:true,verticalRatio:.5,dotSizeRatio:.02,dotSizeMinFraction:.5,dotSizeMaxFraction:2.5,showAnimationControls:autoByDefault,animationInterval:1e3,animationPreload:false,animationAutoStart:autoByDefault,axisColor:\"#4D4D4D\",gridColor:\"#D3D3D3\",xCenter:\"55%\",yCenter:\"50%\",style:Graph3d.STYLE.DOT,tooltip:false,tooltipStyle:{content:{padding:\"10px\",border:\"1px solid #4d4d4d\",color:\"#1a1a1a\",background:\"rgba(255,255,255,0.7)\",borderRadius:\"2px\",boxShadow:\"5px 5px 10px rgba(128,128,128,0.5)\"},line:{height:\"40px\",width:\"0\",borderLeft:\"1px solid #4d4d4d\"},dot:{height:\"0\",width:\"0\",border:\"5px solid #4d4d4d\",borderRadius:\"5px\"}},dataColor:{fill:\"#7DC1FF\",stroke:\"#3267D2\",strokeWidth:1},cameraPosition:{horizontal:1,vertical:.5,distance:1.7},showLegend:autoByDefault,backgroundColor:autoByDefault,xBarWidth:autoByDefault,yBarWidth:autoByDefault,valueMin:autoByDefault,valueMax:autoByDefault,xMin:autoByDefault,xMax:autoByDefault,xStep:autoByDefault,yMin:autoByDefault,yMax:autoByDefault,yStep:autoByDefault,zMin:autoByDefault,zMax:autoByDefault,zStep:autoByDefault};function Graph3d(container,data,options){if(!(this instanceof Graph3d)){throw new SyntaxError(\"Constructor must be called with the new operator\")}this.containerElement=container;this.dataGroup=new DataGroup;this.dataPoints=null;this.create();Settings.setDefaults(Graph3d.DEFAULTS,this);this.colX=undefined;this.colY=undefined;this.colZ=undefined;this.colValue=undefined;this.setOptions(options);this.setData(data)}Emitter(Graph3d.prototype);Graph3d.prototype._setScale=function(){this.scale=new Point3d(1/this.xRange.range(),1/this.yRange.range(),1/this.zRange.range());if(this.keepAspectRatio){if(this.scale.x<this.scale.y){this.scale.y=this.scale.x}else{this.scale.x=this.scale.y}}this.scale.z*=this.verticalRatio;if(this.valueRange!==undefined){this.scale.value=1/this.valueRange.range()}var xCenter=this.xRange.center()*this.scale.x;var yCenter=this.yRange.center()*this.scale.y;var zCenter=this.zRange.center()*this.scale.z;this.camera.setArmLocation(xCenter,yCenter,zCenter)};Graph3d.prototype._convert3Dto2D=function(point3d){var translation=this._convertPointToTranslation(point3d);return this._convertTranslationToScreen(translation)};Graph3d.prototype._convertPointToTranslation=function(point3d){var cameraLocation=this.camera.getCameraLocation(),cameraRotation=this.camera.getCameraRotation(),ax=point3d.x*this.scale.x,ay=point3d.y*this.scale.y,az=point3d.z*this.scale.z,cx=cameraLocation.x,cy=cameraLocation.y,cz=cameraLocation.z,sinTx=Math.sin(cameraRotation.x),cosTx=Math.cos(cameraRotation.x),sinTy=Math.sin(cameraRotation.y),cosTy=Math.cos(cameraRotation.y),sinTz=Math.sin(cameraRotation.z),cosTz=Math.cos(cameraRotation.z),dx=cosTy*(sinTz*(ay-cy)+cosTz*(ax-cx))-sinTy*(az-cz),dy=sinTx*(cosTy*(az-cz)+sinTy*(sinTz*(ay-cy)+cosTz*(ax-cx)))+cosTx*(cosTz*(ay-cy)-sinTz*(ax-cx)),dz=cosTx*(cosTy*(az-cz)+sinTy*(sinTz*(ay-cy)+cosTz*(ax-cx)))-sinTx*(cosTz*(ay-cy)-sinTz*(ax-cx));return new Point3d(dx,dy,dz)};Graph3d.prototype._convertTranslationToScreen=function(translation){var ex=this.eye.x,ey=this.eye.y,ez=this.eye.z,dx=translation.x,dy=translation.y,dz=translation.z;var bx;var by;if(this.showPerspective){bx=(dx-ex)*(ez/dz);by=(dy-ey)*(ez/dz)}else{bx=dx*-(ez/this.camera.getArmLength());by=dy*-(ez/this.camera.getArmLength())}return new Point2d(this.currentXCenter+bx*this.frame.canvas.clientWidth,this.currentYCenter-by*this.frame.canvas.clientWidth)};Graph3d.prototype._calcTranslations=function(points){for(var i=0;i<points.length;i++){var point=points[i];point.trans=this._convertPointToTranslation(point.point);point.screen=this._convertTranslationToScreen(point.trans);var transBottom=this._convertPointToTranslation(point.bottom);point.dist=this.showPerspective?transBottom.length():-transBottom.z}var sortDepth=function sortDepth(a,b){return b.dist-a.dist};points.sort(sortDepth)};Graph3d.prototype._initializeRanges=function(){var dg=this.dataGroup;this.xRange=dg.xRange;this.yRange=dg.yRange;this.zRange=dg.zRange;this.valueRange=dg.valueRange;this.xStep=dg.xStep;this.yStep=dg.yStep;this.zStep=dg.zStep;this.xBarWidth=dg.xBarWidth;this.yBarWidth=dg.yBarWidth;this.colX=dg.colX;this.colY=dg.colY;this.colZ=dg.colZ;this.colValue=dg.colValue;this._setScale()};Graph3d.prototype.getDataPoints=function(data){var dataPoints=[];for(var i=0;i<data.length;i++){var point=new Point3d;point.x=data[i][this.colX]||0;point.y=data[i][this.colY]||0;point.z=data[i][this.colZ]||0;point.data=data[i];if(this.colValue!==undefined){point.value=data[i][this.colValue]||0}var obj={};obj.point=point;obj.bottom=new Point3d(point.x,point.y,this.zRange.min);obj.trans=undefined;obj.screen=undefined;dataPoints.push(obj)}return dataPoints};Graph3d.prototype._getDataPoints=function(data){var x,y,i,obj;var dataPoints=[];if(this.style===Graph3d.STYLE.GRID||this.style===Graph3d.STYLE.SURFACE){var dataX=this.dataGroup.getDistinctValues(this.colX,data);var dataY=this.dataGroup.getDistinctValues(this.colY,data);dataPoints=this.getDataPoints(data);var dataMatrix=[];for(i=0;i<dataPoints.length;i++){obj=dataPoints[i];var xIndex=dataX.indexOf(obj.point.x);var yIndex=dataY.indexOf(obj.point.y);if(dataMatrix[xIndex]===undefined){dataMatrix[xIndex]=[]}dataMatrix[xIndex][yIndex]=obj}for(x=0;x<dataMatrix.length;x++){for(y=0;y<dataMatrix[x].length;y++){if(dataMatrix[x][y]){dataMatrix[x][y].pointRight=x<dataMatrix.length-1?dataMatrix[x+1][y]:undefined;dataMatrix[x][y].pointTop=y<dataMatrix[x].length-1?dataMatrix[x][y+1]:undefined;dataMatrix[x][y].pointCross=x<dataMatrix.length-1&&y<dataMatrix[x].length-1?dataMatrix[x+1][y+1]:undefined}}}}else{this._checkValueField(data);dataPoints=this.getDataPoints(data);if(this.style===Graph3d.STYLE.LINE){for(i=0;i<dataPoints.length;i++){if(i>0){dataPoints[i-1].pointNext=dataPoints[i]}}}}return dataPoints};Graph3d.prototype.create=function(){while(this.containerElement.hasChildNodes()){this.containerElement.removeChild(this.containerElement.firstChild)}this.frame=document.createElement(\"div\");this.frame.style.position=\"relative\";this.frame.style.overflow=\"hidden\";this.frame.canvas=document.createElement(\"canvas\");this.frame.canvas.style.position=\"relative\";this.frame.appendChild(this.frame.canvas);{var noCanvas=document.createElement(\"DIV\");noCanvas.style.color=\"red\";noCanvas.style.fontWeight=\"bold\";noCanvas.style.padding=\"10px\";noCanvas.innerHTML=\"Error: your browser does not support HTML canvas\";this.frame.canvas.appendChild(noCanvas)}this.frame.filter=document.createElement(\"div\");this.frame.filter.style.position=\"absolute\";this.frame.filter.style.bottom=\"0px\";this.frame.filter.style.left=\"0px\";this.frame.filter.style.width=\"100%\";this.frame.appendChild(this.frame.filter);var me=this;var onmousedown=function onmousedown(event){me._onMouseDown(event)};var ontouchstart=function ontouchstart(event){me._onTouchStart(event)};var onmousewheel=function onmousewheel(event){me._onWheel(event)};var ontooltip=function ontooltip(event){me._onTooltip(event)};var onclick=function onclick(event){me._onClick(event)};util.addEventListener(this.frame.canvas,\"mousedown\",onmousedown);util.addEventListener(this.frame.canvas,\"touchstart\",ontouchstart);util.addEventListener(this.frame.canvas,\"mousewheel\",onmousewheel);util.addEventListener(this.frame.canvas,\"mousemove\",ontooltip);util.addEventListener(this.frame.canvas,\"click\",onclick);this.containerElement.appendChild(this.frame)};Graph3d.prototype._setSize=function(width,height){this.frame.style.width=width;this.frame.style.height=height;this._resizeCanvas()};Graph3d.prototype._resizeCanvas=function(){this.frame.canvas.style.width=\"100%\";this.frame.canvas.style.height=\"100%\";this.frame.canvas.width=this.frame.canvas.clientWidth;this.frame.canvas.height=this.frame.canvas.clientHeight;this.frame.filter.style.width=this.frame.canvas.clientWidth-2*10+\"px\"};Graph3d.prototype.animationStart=function(){if(!this.animationAutoStart||!this.dataGroup.dataFilter)return;if(!this.frame.filter||!this.frame.filter.slider)throw new Error(\"No animation available\");this.frame.filter.slider.play()};Graph3d.prototype.animationStop=function(){if(!this.frame.filter||!this.frame.filter.slider)return;this.frame.filter.slider.stop()};Graph3d.prototype._resizeCenter=function(){if(this.xCenter.charAt(this.xCenter.length-1)===\"%\"){this.currentXCenter=parseFloat(this.xCenter)/100*this.frame.canvas.clientWidth}else{this.currentXCenter=parseFloat(this.xCenter)}if(this.yCenter.charAt(this.yCenter.length-1)===\"%\"){this.currentYCenter=parseFloat(this.yCenter)/100*(this.frame.canvas.clientHeight-this.frame.filter.clientHeight)}else{this.currentYCenter=parseFloat(this.yCenter)}};Graph3d.prototype.getCameraPosition=function(){var pos=this.camera.getArmRotation();pos.distance=this.camera.getArmLength();return pos};Graph3d.prototype._readData=function(data){this.dataPoints=this.dataGroup.initializeData(this,data,this.style);this._initializeRanges();this._redrawFilter()};Graph3d.prototype.setData=function(data){if(data===undefined||data===null)return;this._readData(data);this.redraw();this.animationStart()};Graph3d.prototype.setOptions=function(options){if(options===undefined)return;var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}this.animationStop();Settings.setOptions(options,this);this.setPointDrawingMethod();this._setSize(this.width,this.height);this.setData(this.dataGroup.getDataTable());this.animationStart()};Graph3d.prototype.setPointDrawingMethod=function(){var method=undefined;switch(this.style){case Graph3d.STYLE.BAR:method=Graph3d.prototype._redrawBarGraphPoint;break;case Graph3d.STYLE.BARCOLOR:method=Graph3d.prototype._redrawBarColorGraphPoint;break;case Graph3d.STYLE.BARSIZE:method=Graph3d.prototype._redrawBarSizeGraphPoint;break;case Graph3d.STYLE.DOT:method=Graph3d.prototype._redrawDotGraphPoint;break;case Graph3d.STYLE.DOTLINE:method=Graph3d.prototype._redrawDotLineGraphPoint;break;case Graph3d.STYLE.DOTCOLOR:method=Graph3d.prototype._redrawDotColorGraphPoint;break;case Graph3d.STYLE.DOTSIZE:method=Graph3d.prototype._redrawDotSizeGraphPoint;break;case Graph3d.STYLE.SURFACE:method=Graph3d.prototype._redrawSurfaceGraphPoint;break;case Graph3d.STYLE.GRID:method=Graph3d.prototype._redrawGridGraphPoint;break;case Graph3d.STYLE.LINE:method=Graph3d.prototype._redrawLineGraphPoint;break;default:throw new Error(\"Can not determine point drawing method \"+\"for graph style '\"+this.style+\"'\")}this._pointDrawingMethod=method};Graph3d.prototype.redraw=function(){if(this.dataPoints===undefined){throw new Error(\"Graph data not initialized\")}this._resizeCanvas();this._resizeCenter();this._redrawSlider();this._redrawClear();this._redrawAxis();this._redrawDataGraph();this._redrawInfo();this._redrawLegend()};Graph3d.prototype._getContext=function(){var canvas=this.frame.canvas;var ctx=canvas.getContext(\"2d\");ctx.lineJoin=\"round\";ctx.lineCap=\"round\";return ctx};Graph3d.prototype._redrawClear=function(){var canvas=this.frame.canvas;var ctx=canvas.getContext(\"2d\");ctx.clearRect(0,0,canvas.width,canvas.height)};Graph3d.prototype._dotSize=function(){return this.frame.clientWidth*this.dotSizeRatio};Graph3d.prototype._getLegendWidth=function(){var width;if(this.style===Graph3d.STYLE.DOTSIZE){var dotSize=this._dotSize();width=dotSize*this.dotSizeMaxFraction}else if(this.style===Graph3d.STYLE.BARSIZE){width=this.xBarWidth}else{width=20}return width};Graph3d.prototype._redrawLegend=function(){if(this.showLegend!==true){return}if(this.style===Graph3d.STYLE.LINE||this.style===Graph3d.STYLE.BARSIZE){return}var isSizeLegend=this.style===Graph3d.STYLE.BARSIZE||this.style===Graph3d.STYLE.DOTSIZE;var isValueLegend=this.style===Graph3d.STYLE.DOTSIZE||this.style===Graph3d.STYLE.DOTCOLOR||this.style===Graph3d.STYLE.BARCOLOR;var height=Math.max(this.frame.clientHeight*.25,100);var top=this.margin;var width=this._getLegendWidth();var right=this.frame.clientWidth-this.margin;var left=right-width;var bottom=top+height;var ctx=this._getContext();ctx.lineWidth=1;ctx.font=\"14px arial\";if(isSizeLegend===false){var ymin=0;var ymax=height;var y;for(y=ymin;y<ymax;y++){var f=(y-ymin)/(ymax-ymin);var hue=f*240;var color=this._hsv2rgb(hue,1,1);ctx.strokeStyle=color;ctx.beginPath();ctx.moveTo(left,top+y);ctx.lineTo(right,top+y);ctx.stroke()}ctx.strokeStyle=this.axisColor;ctx.strokeRect(left,top,width,height)}else{var widthMin;if(this.style===Graph3d.STYLE.DOTSIZE){widthMin=width*(this.dotSizeMinFraction/this.dotSizeMaxFraction)}else if(this.style===Graph3d.STYLE.BARSIZE){}ctx.strokeStyle=this.axisColor;ctx.fillStyle=this.dataColor.fill;ctx.beginPath();ctx.moveTo(left,top);ctx.lineTo(right,top);ctx.lineTo(left+widthMin,bottom);ctx.lineTo(left,bottom);ctx.closePath();ctx.fill();ctx.stroke()}var gridLineLen=5;var legendMin=isValueLegend?this.valueRange.min:this.zRange.min;var legendMax=isValueLegend?this.valueRange.max:this.zRange.max;var step=new StepNumber(legendMin,legendMax,(legendMax-legendMin)/5,true);step.start(true);var from;var to;while(!step.end()){y=bottom-(step.getCurrent()-legendMin)/(legendMax-legendMin)*height;from=new Point2d(left-gridLineLen,y);to=new Point2d(left,y);this._line(ctx,from,to);ctx.textAlign=\"right\";ctx.textBaseline=\"middle\";ctx.fillStyle=this.axisColor;ctx.fillText(step.getCurrent(),left-2*gridLineLen,y);step.next()}ctx.textAlign=\"right\";ctx.textBaseline=\"top\";var label=this.legendLabel;ctx.fillText(label,right,bottom+this.margin)};Graph3d.prototype._redrawFilter=function(){var dataFilter=this.dataGroup.dataFilter;var filter=this.frame.filter;filter.innerHTML=\"\";if(!dataFilter){filter.slider=undefined;return}var options={visible:this.showAnimationControls};var slider=new Slider(filter,options);filter.slider=slider;filter.style.padding=\"10px\";slider.setValues(dataFilter.values);slider.setPlayInterval(this.animationInterval);var me=this;var onchange=function onchange(){var dataFilter=me.dataGroup.dataFilter;var index=slider.getIndex();dataFilter.selectValue(index);me.dataPoints=dataFilter._getDataPoints();me.redraw()};slider.setOnChangeCallback(onchange)};Graph3d.prototype._redrawSlider=function(){if(this.frame.filter.slider!==undefined){this.frame.filter.slider.redraw()}};Graph3d.prototype._redrawInfo=function(){var info=this.dataGroup.getInfo();if(info===undefined)return;var ctx=this._getContext();ctx.font=\"14px arial\";ctx.lineStyle=\"gray\";ctx.fillStyle=\"gray\";ctx.textAlign=\"left\";ctx.textBaseline=\"top\";var x=this.margin;var y=this.margin;ctx.fillText(info,x,y)};Graph3d.prototype._line=function(ctx,from,to,strokeStyle){if(strokeStyle!==undefined){ctx.strokeStyle=strokeStyle}ctx.beginPath();ctx.moveTo(from.x,from.y);ctx.lineTo(to.x,to.y);ctx.stroke()};Graph3d.prototype.drawAxisLabelX=function(ctx,point3d,text,armAngle,yMargin){if(yMargin===undefined){yMargin=0}var point2d=this._convert3Dto2D(point3d);if(Math.cos(armAngle*2)>0){ctx.textAlign=\"center\";ctx.textBaseline=\"top\";point2d.y+=yMargin}else if(Math.sin(armAngle*2)<0){ctx.textAlign=\"right\";ctx.textBaseline=\"middle\"}else{ctx.textAlign=\"left\";ctx.textBaseline=\"middle\"}ctx.fillStyle=this.axisColor;ctx.fillText(text,point2d.x,point2d.y)};Graph3d.prototype.drawAxisLabelY=function(ctx,point3d,text,armAngle,yMargin){if(yMargin===undefined){yMargin=0}var point2d=this._convert3Dto2D(point3d);if(Math.cos(armAngle*2)<0){ctx.textAlign=\"center\";ctx.textBaseline=\"top\";point2d.y+=yMargin}else if(Math.sin(armAngle*2)>0){ctx.textAlign=\"right\";ctx.textBaseline=\"middle\"}else{ctx.textAlign=\"left\";ctx.textBaseline=\"middle\"}ctx.fillStyle=this.axisColor;ctx.fillText(text,point2d.x,point2d.y)};Graph3d.prototype.drawAxisLabelZ=function(ctx,point3d,text,offset){if(offset===undefined){offset=0}var point2d=this._convert3Dto2D(point3d);ctx.textAlign=\"right\";ctx.textBaseline=\"middle\";ctx.fillStyle=this.axisColor;ctx.fillText(text,point2d.x-offset,point2d.y)};Graph3d.prototype._line3d=function(ctx,from,to,strokeStyle){var from2d=this._convert3Dto2D(from);var to2d=this._convert3Dto2D(to);this._line(ctx,from2d,to2d,strokeStyle)};Graph3d.prototype._redrawAxis=function(){var ctx=this._getContext(),from,to,step,prettyStep,text,xText,yText,zText,offset,xOffset,yOffset;ctx.font=24/this.camera.getArmLength()+\"px arial\";var gridLenX=.025/this.scale.x;var gridLenY=.025/this.scale.y;var textMargin=5/this.camera.getArmLength();var armAngle=this.camera.getArmRotation().horizontal;var armVector=new Point2d(Math.cos(armAngle),Math.sin(armAngle));var xRange=this.xRange;var yRange=this.yRange;var zRange=this.zRange;var point3d;ctx.lineWidth=1;prettyStep=this.defaultXStep===undefined;step=new StepNumber(xRange.min,xRange.max,this.xStep,prettyStep);step.start(true);while(!step.end()){var x=step.getCurrent();if(this.showGrid){from=new Point3d(x,yRange.min,zRange.min);to=new Point3d(x,yRange.max,zRange.min);this._line3d(ctx,from,to,this.gridColor)}else if(this.showXAxis){from=new Point3d(x,yRange.min,zRange.min);to=new Point3d(x,yRange.min+gridLenX,zRange.min);this._line3d(ctx,from,to,this.axisColor);from=new Point3d(x,yRange.max,zRange.min);to=new Point3d(x,yRange.max-gridLenX,zRange.min);this._line3d(ctx,from,to,this.axisColor)}if(this.showXAxis){yText=armVector.x>0?yRange.min:yRange.max;point3d=new Point3d(x,yText,zRange.min);var msg=\" \"+this.xValueLabel(x)+\" \";this.drawAxisLabelX(ctx,point3d,msg,armAngle,textMargin)}step.next()}ctx.lineWidth=1;prettyStep=this.defaultYStep===undefined;step=new StepNumber(yRange.min,yRange.max,this.yStep,prettyStep);step.start(true);while(!step.end()){var y=step.getCurrent();if(this.showGrid){from=new Point3d(xRange.min,y,zRange.min);to=new Point3d(xRange.max,y,zRange.min);this._line3d(ctx,from,to,this.gridColor)}else if(this.showYAxis){from=new Point3d(xRange.min,y,zRange.min);to=new Point3d(xRange.min+gridLenY,y,zRange.min);this._line3d(ctx,from,to,this.axisColor);from=new Point3d(xRange.max,y,zRange.min);to=new Point3d(xRange.max-gridLenY,y,zRange.min);this._line3d(ctx,from,to,this.axisColor)}if(this.showYAxis){xText=armVector.y>0?xRange.min:xRange.max;point3d=new Point3d(xText,y,zRange.min);var _msg=\" \"+this.yValueLabel(y)+\" \";this.drawAxisLabelY(ctx,point3d,_msg,armAngle,textMargin)}step.next()}if(this.showZAxis){ctx.lineWidth=1;prettyStep=this.defaultZStep===undefined;step=new StepNumber(zRange.min,zRange.max,this.zStep,prettyStep);step.start(true);xText=armVector.x>0?xRange.min:xRange.max;yText=armVector.y<0?yRange.min:yRange.max;while(!step.end()){var z=step.getCurrent();var from3d=new Point3d(xText,yText,z);var from2d=this._convert3Dto2D(from3d);to=new Point2d(from2d.x-textMargin,from2d.y);this._line(ctx,from2d,to,this.axisColor);var _msg2=this.zValueLabel(z)+\" \";this.drawAxisLabelZ(ctx,from3d,_msg2,5);step.next()}ctx.lineWidth=1;from=new Point3d(xText,yText,zRange.min);to=new Point3d(xText,yText,zRange.max);this._line3d(ctx,from,to,this.axisColor)}if(this.showXAxis){var xMin2d;var xMax2d;ctx.lineWidth=1;xMin2d=new Point3d(xRange.min,yRange.min,zRange.min);xMax2d=new Point3d(xRange.max,yRange.min,zRange.min);this._line3d(ctx,xMin2d,xMax2d,this.axisColor);xMin2d=new Point3d(xRange.min,yRange.max,zRange.min);xMax2d=new Point3d(xRange.max,yRange.max,zRange.min);this._line3d(ctx,xMin2d,xMax2d,this.axisColor)}if(this.showYAxis){ctx.lineWidth=1;from=new Point3d(xRange.min,yRange.min,zRange.min);to=new Point3d(xRange.min,yRange.max,zRange.min);this._line3d(ctx,from,to,this.axisColor);from=new Point3d(xRange.max,yRange.min,zRange.min);to=new Point3d(xRange.max,yRange.max,zRange.min);this._line3d(ctx,from,to,this.axisColor)}var xLabel=this.xLabel;if(xLabel.length>0&&this.showXAxis){yOffset=.1/this.scale.y;xText=(xRange.max+3*xRange.min)/4;yText=armVector.x>0?yRange.min-yOffset:yRange.max+yOffset\n;text=new Point3d(xText,yText,zRange.min);this.drawAxisLabelX(ctx,text,xLabel,armAngle)}var yLabel=this.yLabel;if(yLabel.length>0&&this.showYAxis){xOffset=.1/this.scale.x;xText=armVector.y>0?xRange.min-xOffset:xRange.max+xOffset;yText=(yRange.max+3*yRange.min)/4;text=new Point3d(xText,yText,zRange.min);this.drawAxisLabelY(ctx,text,yLabel,armAngle)}var zLabel=this.zLabel;if(zLabel.length>0&&this.showZAxis){offset=30;xText=armVector.x>0?xRange.min:xRange.max;yText=armVector.y<0?yRange.min:yRange.max;zText=(zRange.max+3*zRange.min)/4;text=new Point3d(xText,yText,zText);this.drawAxisLabelZ(ctx,text,zLabel,offset)}};Graph3d.prototype._hsv2rgb=function(H,S,V){var R,G,B,C,Hi,X;C=V*S;Hi=Math.floor(H/60);X=C*(1-Math.abs(H/60%2-1));switch(Hi){case 0:R=C;G=X;B=0;break;case 1:R=X;G=C;B=0;break;case 2:R=0;G=C;B=X;break;case 3:R=0;G=X;B=C;break;case 4:R=X;G=0;B=C;break;case 5:R=C;G=0;B=X;break;default:R=0;G=0;B=0;break}return\"RGB(\"+parseInt(R*255)+\",\"+parseInt(G*255)+\",\"+parseInt(B*255)+\")\"};Graph3d.prototype._getStrokeWidth=function(point){if(point!==undefined){if(this.showPerspective){return 1/-point.trans.z*this.dataColor.strokeWidth}else{return-(this.eye.z/this.camera.getArmLength())*this.dataColor.strokeWidth}}return this.dataColor.strokeWidth};Graph3d.prototype._redrawBar=function(ctx,point,xWidth,yWidth,color,borderColor){var surface;var me=this;var point3d=point.point;var zMin=this.zRange.min;var top=[{point:new Point3d(point3d.x-xWidth,point3d.y-yWidth,point3d.z)},{point:new Point3d(point3d.x+xWidth,point3d.y-yWidth,point3d.z)},{point:new Point3d(point3d.x+xWidth,point3d.y+yWidth,point3d.z)},{point:new Point3d(point3d.x-xWidth,point3d.y+yWidth,point3d.z)}];var bottom=[{point:new Point3d(point3d.x-xWidth,point3d.y-yWidth,zMin)},{point:new Point3d(point3d.x+xWidth,point3d.y-yWidth,zMin)},{point:new Point3d(point3d.x+xWidth,point3d.y+yWidth,zMin)},{point:new Point3d(point3d.x-xWidth,point3d.y+yWidth,zMin)}];top.forEach(function(obj){obj.screen=me._convert3Dto2D(obj.point)});bottom.forEach(function(obj){obj.screen=me._convert3Dto2D(obj.point)});var surfaces=[{corners:top,center:Point3d.avg(bottom[0].point,bottom[2].point)},{corners:[top[0],top[1],bottom[1],bottom[0]],center:Point3d.avg(bottom[1].point,bottom[0].point)},{corners:[top[1],top[2],bottom[2],bottom[1]],center:Point3d.avg(bottom[2].point,bottom[1].point)},{corners:[top[2],top[3],bottom[3],bottom[2]],center:Point3d.avg(bottom[3].point,bottom[2].point)},{corners:[top[3],top[0],bottom[0],bottom[3]],center:Point3d.avg(bottom[0].point,bottom[3].point)}];point.surfaces=surfaces;for(var j=0;j<surfaces.length;j++){surface=surfaces[j];var transCenter=this._convertPointToTranslation(surface.center);surface.dist=this.showPerspective?transCenter.length():-transCenter.z}surfaces.sort(function(a,b){var diff=b.dist-a.dist;if(diff)return diff;if(a.corners===top)return 1;if(b.corners===top)return-1;return 0});ctx.lineWidth=this._getStrokeWidth(point);ctx.strokeStyle=borderColor;ctx.fillStyle=color;for(var _j=2;_j<surfaces.length;_j++){surface=surfaces[_j];this._polygon(ctx,surface.corners)}};Graph3d.prototype._polygon=function(ctx,points,fillStyle,strokeStyle){if(points.length<2){return}if(fillStyle!==undefined){ctx.fillStyle=fillStyle}if(strokeStyle!==undefined){ctx.strokeStyle=strokeStyle}ctx.beginPath();ctx.moveTo(points[0].screen.x,points[0].screen.y);for(var i=1;i<points.length;++i){var point=points[i];ctx.lineTo(point.screen.x,point.screen.y)}ctx.closePath();ctx.fill();ctx.stroke()};Graph3d.prototype._drawCircle=function(ctx,point,color,borderColor,size){var radius=this._calcRadius(point,size);ctx.lineWidth=this._getStrokeWidth(point);ctx.strokeStyle=borderColor;ctx.fillStyle=color;ctx.beginPath();ctx.arc(point.screen.x,point.screen.y,radius,0,Math.PI*2,true);ctx.fill();ctx.stroke()};Graph3d.prototype._getColorsRegular=function(point){var hue=(1-(point.point.z-this.zRange.min)*this.scale.z/this.verticalRatio)*240;var color=this._hsv2rgb(hue,1,1);var borderColor=this._hsv2rgb(hue,1,.8);return{fill:color,border:borderColor}};Graph3d.prototype._getColorsColor=function(point){var color,borderColor;if(typeof point.point.value===\"string\"){color=point.point.value;borderColor=point.point.value}else{var hue=(1-(point.point.value-this.valueRange.min)*this.scale.value)*240;color=this._hsv2rgb(hue,1,1);borderColor=this._hsv2rgb(hue,1,.8)}return{fill:color,border:borderColor}};Graph3d.prototype._getColorsSize=function(){return{fill:this.dataColor.fill,border:this.dataColor.stroke}};Graph3d.prototype._calcRadius=function(point,size){if(size===undefined){size=this._dotSize()}var radius;if(this.showPerspective){radius=size/-point.trans.z}else{radius=size*-(this.eye.z/this.camera.getArmLength())}if(radius<0){radius=0}return radius};Graph3d.prototype._redrawBarGraphPoint=function(ctx,point){var xWidth=this.xBarWidth/2;var yWidth=this.yBarWidth/2;var colors=this._getColorsRegular(point);this._redrawBar(ctx,point,xWidth,yWidth,colors.fill,colors.border)};Graph3d.prototype._redrawBarColorGraphPoint=function(ctx,point){var xWidth=this.xBarWidth/2;var yWidth=this.yBarWidth/2;var colors=this._getColorsColor(point);this._redrawBar(ctx,point,xWidth,yWidth,colors.fill,colors.border)};Graph3d.prototype._redrawBarSizeGraphPoint=function(ctx,point){var fraction=(point.point.value-this.valueRange.min)/this.valueRange.range();var xWidth=this.xBarWidth/2*(fraction*.8+.2);var yWidth=this.yBarWidth/2*(fraction*.8+.2);var colors=this._getColorsSize();this._redrawBar(ctx,point,xWidth,yWidth,colors.fill,colors.border)};Graph3d.prototype._redrawDotGraphPoint=function(ctx,point){var colors=this._getColorsRegular(point);this._drawCircle(ctx,point,colors.fill,colors.border)};Graph3d.prototype._redrawDotLineGraphPoint=function(ctx,point){var from=this._convert3Dto2D(point.bottom);ctx.lineWidth=1;this._line(ctx,from,point.screen,this.gridColor);this._redrawDotGraphPoint(ctx,point)};Graph3d.prototype._redrawDotColorGraphPoint=function(ctx,point){var colors=this._getColorsColor(point);this._drawCircle(ctx,point,colors.fill,colors.border)};Graph3d.prototype._redrawDotSizeGraphPoint=function(ctx,point){var dotSize=this._dotSize();var fraction=(point.point.value-this.valueRange.min)/this.valueRange.range();var sizeMin=dotSize*this.dotSizeMinFraction;var sizeRange=dotSize*this.dotSizeMaxFraction-sizeMin;var size=sizeMin+sizeRange*fraction;var colors=this._getColorsSize();this._drawCircle(ctx,point,colors.fill,colors.border,size)};Graph3d.prototype._redrawSurfaceGraphPoint=function(ctx,point){var right=point.pointRight;var top=point.pointTop;var cross=point.pointCross;if(point===undefined||right===undefined||top===undefined||cross===undefined){return}var topSideVisible=true;var fillStyle;var strokeStyle;if(this.showGrayBottom||this.showShadow){var aDiff=Point3d.subtract(cross.trans,point.trans);var bDiff=Point3d.subtract(top.trans,right.trans);var crossproduct=Point3d.crossProduct(aDiff,bDiff);var len=crossproduct.length();topSideVisible=crossproduct.z>0}if(topSideVisible){var zAvg=(point.point.z+right.point.z+top.point.z+cross.point.z)/4;var h=(1-(zAvg-this.zRange.min)*this.scale.z/this.verticalRatio)*240;var s=1;var v;if(this.showShadow){v=Math.min(1+crossproduct.x/len/2,1);fillStyle=this._hsv2rgb(h,s,v);strokeStyle=fillStyle}else{v=1;fillStyle=this._hsv2rgb(h,s,v);strokeStyle=this.axisColor}}else{fillStyle=\"gray\";strokeStyle=this.axisColor}ctx.lineWidth=this._getStrokeWidth(point);var points=[point,right,cross,top];this._polygon(ctx,points,fillStyle,strokeStyle)};Graph3d.prototype._drawGridLine=function(ctx,from,to){if(from===undefined||to===undefined){return}var zAvg=(from.point.z+to.point.z)/2;var h=(1-(zAvg-this.zRange.min)*this.scale.z/this.verticalRatio)*240;ctx.lineWidth=this._getStrokeWidth(from)*2;ctx.strokeStyle=this._hsv2rgb(h,1,1);this._line(ctx,from.screen,to.screen)};Graph3d.prototype._redrawGridGraphPoint=function(ctx,point){this._drawGridLine(ctx,point,point.pointRight);this._drawGridLine(ctx,point,point.pointTop)};Graph3d.prototype._redrawLineGraphPoint=function(ctx,point){if(point.pointNext===undefined){return}ctx.lineWidth=this._getStrokeWidth(point);ctx.strokeStyle=this.dataColor.stroke;this._line(ctx,point.screen,point.pointNext.screen)};Graph3d.prototype._redrawDataGraph=function(){var ctx=this._getContext();var i;if(this.dataPoints===undefined||this.dataPoints.length<=0)return;this._calcTranslations(this.dataPoints);for(i=0;i<this.dataPoints.length;i++){var point=this.dataPoints[i];this._pointDrawingMethod.call(this,ctx,point)}};Graph3d.prototype._storeMousePosition=function(event){this.startMouseX=getMouseX(event);this.startMouseY=getMouseY(event);this._startCameraOffset=this.camera.getOffset()};Graph3d.prototype._onMouseDown=function(event){event=event||window.event;if(this.leftButtonDown){this._onMouseUp(event)}this.leftButtonDown=event.which?event.which===1:event.button===1;if(!this.leftButtonDown&&!this.touchDown)return;this._storeMousePosition(event);this.startStart=new Date(this.start);this.startEnd=new Date(this.end);this.startArmRotation=this.camera.getArmRotation();this.frame.style.cursor=\"move\";var me=this;this.onmousemove=function(event){me._onMouseMove(event)};this.onmouseup=function(event){me._onMouseUp(event)};util.addEventListener(document,\"mousemove\",me.onmousemove);util.addEventListener(document,\"mouseup\",me.onmouseup);util.preventDefault(event)};Graph3d.prototype._onMouseMove=function(event){this.moving=true;event=event||window.event;var diffX=parseFloat(getMouseX(event))-this.startMouseX;var diffY=parseFloat(getMouseY(event))-this.startMouseY;if(event&&event.ctrlKey===true){var scaleX=this.frame.clientWidth*.5;var scaleY=this.frame.clientHeight*.5;var offXNew=(this._startCameraOffset.x||0)-diffX/scaleX*this.camera.armLength*.8;var offYNew=(this._startCameraOffset.y||0)+diffY/scaleY*this.camera.armLength*.8;this.camera.setOffset(offXNew,offYNew);this._storeMousePosition(event)}else{var horizontalNew=this.startArmRotation.horizontal+diffX/200;var verticalNew=this.startArmRotation.vertical+diffY/200;var snapAngle=4;var snapValue=Math.sin(snapAngle/360*2*Math.PI);if(Math.abs(Math.sin(horizontalNew))<snapValue){horizontalNew=Math.round(horizontalNew/Math.PI)*Math.PI-.001}if(Math.abs(Math.cos(horizontalNew))<snapValue){horizontalNew=(Math.round(horizontalNew/Math.PI-.5)+.5)*Math.PI-.001}if(Math.abs(Math.sin(verticalNew))<snapValue){verticalNew=Math.round(verticalNew/Math.PI)*Math.PI}if(Math.abs(Math.cos(verticalNew))<snapValue){verticalNew=(Math.round(verticalNew/Math.PI-.5)+.5)*Math.PI}this.camera.setArmRotation(horizontalNew,verticalNew)}this.redraw();var parameters=this.getCameraPosition();this.emit(\"cameraPositionChange\",parameters);util.preventDefault(event)};Graph3d.prototype._onMouseUp=function(event){this.frame.style.cursor=\"auto\";this.leftButtonDown=false;util.removeEventListener(document,\"mousemove\",this.onmousemove);util.removeEventListener(document,\"mouseup\",this.onmouseup);util.preventDefault(event)};Graph3d.prototype._onClick=function(event){if(!this.onclick_callback)return;if(!this.moving){var boundingRect=this.frame.getBoundingClientRect();var mouseX=getMouseX(event)-boundingRect.left;var mouseY=getMouseY(event)-boundingRect.top;var dataPoint=this._dataPointFromXY(mouseX,mouseY);if(dataPoint)this.onclick_callback(dataPoint.point.data)}else{this.moving=false}util.preventDefault(event)};Graph3d.prototype._onTooltip=function(event){var delay=300;var boundingRect=this.frame.getBoundingClientRect();var mouseX=getMouseX(event)-boundingRect.left;var mouseY=getMouseY(event)-boundingRect.top;if(!this.showTooltip){return}if(this.tooltipTimeout){clearTimeout(this.tooltipTimeout)}if(this.leftButtonDown){this._hideTooltip();return}if(this.tooltip&&this.tooltip.dataPoint){var dataPoint=this._dataPointFromXY(mouseX,mouseY);if(dataPoint!==this.tooltip.dataPoint){if(dataPoint){this._showTooltip(dataPoint)}else{this._hideTooltip()}}}else{var me=this;this.tooltipTimeout=setTimeout(function(){me.tooltipTimeout=null;var dataPoint=me._dataPointFromXY(mouseX,mouseY);if(dataPoint){me._showTooltip(dataPoint)}},delay)}};Graph3d.prototype._onTouchStart=function(event){this.touchDown=true;var me=this;this.ontouchmove=function(event){me._onTouchMove(event)};this.ontouchend=function(event){me._onTouchEnd(event)};util.addEventListener(document,\"touchmove\",me.ontouchmove);util.addEventListener(document,\"touchend\",me.ontouchend);this._onMouseDown(event)};Graph3d.prototype._onTouchMove=function(event){this._onMouseMove(event)};Graph3d.prototype._onTouchEnd=function(event){this.touchDown=false;util.removeEventListener(document,\"touchmove\",this.ontouchmove);util.removeEventListener(document,\"touchend\",this.ontouchend);this._onMouseUp(event)};Graph3d.prototype._onWheel=function(event){if(!event)event=window.event;var delta=0;if(event.wheelDelta){delta=event.wheelDelta/120}else if(event.detail){delta=-event.detail/3}if(delta){var oldLength=this.camera.getArmLength();var newLength=oldLength*(1-delta/10);this.camera.setArmLength(newLength);this.redraw();this._hideTooltip()}var parameters=this.getCameraPosition();this.emit(\"cameraPositionChange\",parameters);util.preventDefault(event)};Graph3d.prototype._insideTriangle=function(point,triangle){var a=triangle[0],b=triangle[1],c=triangle[2];function sign(x){return x>0?1:x<0?-1:0}var as=sign((b.x-a.x)*(point.y-a.y)-(b.y-a.y)*(point.x-a.x));var bs=sign((c.x-b.x)*(point.y-b.y)-(c.y-b.y)*(point.x-b.x));var cs=sign((a.x-c.x)*(point.y-c.y)-(a.y-c.y)*(point.x-c.x));return(as==0||bs==0||as==bs)&&(bs==0||cs==0||bs==cs)&&(as==0||cs==0||as==cs)};Graph3d.prototype._dataPointFromXY=function(x,y){var i,distMax=100,dataPoint=null,closestDataPoint=null,closestDist=null,center=new Point2d(x,y);if(this.style===Graph3d.STYLE.BAR||this.style===Graph3d.STYLE.BARCOLOR||this.style===Graph3d.STYLE.BARSIZE){for(i=this.dataPoints.length-1;i>=0;i--){dataPoint=this.dataPoints[i];var surfaces=dataPoint.surfaces;if(surfaces){for(var s=surfaces.length-1;s>=0;s--){var surface=surfaces[s];var corners=surface.corners;var triangle1=[corners[0].screen,corners[1].screen,corners[2].screen];var triangle2=[corners[2].screen,corners[3].screen,corners[0].screen];if(this._insideTriangle(center,triangle1)||this._insideTriangle(center,triangle2)){return dataPoint}}}}}else{for(i=0;i<this.dataPoints.length;i++){dataPoint=this.dataPoints[i];var point=dataPoint.screen;if(point){var distX=Math.abs(x-point.x);var distY=Math.abs(y-point.y);var dist=Math.sqrt(distX*distX+distY*distY);if((closestDist===null||dist<closestDist)&&dist<distMax){closestDist=dist;closestDataPoint=dataPoint}}}}return closestDataPoint};Graph3d.prototype.hasBars=function(style){return style==Graph3d.STYLE.BAR||style==Graph3d.STYLE.BARCOLOR||style==Graph3d.STYLE.BARSIZE};Graph3d.prototype._showTooltip=function(dataPoint){var content,line,dot;if(!this.tooltip){content=document.createElement(\"div\");(0,_assign2[\"default\"])(content.style,{},this.tooltipStyle.content);content.style.position=\"absolute\";line=document.createElement(\"div\");(0,_assign2[\"default\"])(line.style,{},this.tooltipStyle.line);line.style.position=\"absolute\";dot=document.createElement(\"div\");(0,_assign2[\"default\"])(dot.style,{},this.tooltipStyle.dot);dot.style.position=\"absolute\";this.tooltip={dataPoint:null,dom:{content:content,line:line,dot:dot}}}else{content=this.tooltip.dom.content;line=this.tooltip.dom.line;dot=this.tooltip.dom.dot}this._hideTooltip();this.tooltip.dataPoint=dataPoint;if(typeof this.showTooltip===\"function\"){content.innerHTML=this.showTooltip(dataPoint.point)}else{content.innerHTML=\"<table>\"+\"<tr><td>\"+this.xLabel+\":</td><td>\"+dataPoint.point.x+\"</td></tr>\"+\"<tr><td>\"+this.yLabel+\":</td><td>\"+dataPoint.point.y+\"</td></tr>\"+\"<tr><td>\"+this.zLabel+\":</td><td>\"+dataPoint.point.z+\"</td></tr>\"+\"</table>\"}content.style.left=\"0\";content.style.top=\"0\";this.frame.appendChild(content);this.frame.appendChild(line);this.frame.appendChild(dot);var contentWidth=content.offsetWidth;var contentHeight=content.offsetHeight;var lineHeight=line.offsetHeight;var dotWidth=dot.offsetWidth;var dotHeight=dot.offsetHeight;var left=dataPoint.screen.x-contentWidth/2;left=Math.min(Math.max(left,10),this.frame.clientWidth-10-contentWidth);line.style.left=dataPoint.screen.x+\"px\";line.style.top=dataPoint.screen.y-lineHeight+\"px\";content.style.left=left+\"px\";content.style.top=dataPoint.screen.y-lineHeight-contentHeight+\"px\";dot.style.left=dataPoint.screen.x-dotWidth/2+\"px\";dot.style.top=dataPoint.screen.y-dotHeight/2+\"px\"};Graph3d.prototype._hideTooltip=function(){if(this.tooltip){this.tooltip.dataPoint=null;for(var prop in this.tooltip.dom){if(this.tooltip.dom.hasOwnProperty(prop)){var elem=this.tooltip.dom[prop];if(elem&&elem.parentNode){elem.parentNode.removeChild(elem)}}}}};function getMouseX(event){if(\"clientX\"in event)return event.clientX;return event.targetTouches[0]&&event.targetTouches[0].clientX||0}function getMouseY(event){if(\"clientY\"in event)return event.clientY;return event.targetTouches[0]&&event.targetTouches[0].clientY||0}Graph3d.prototype.setCameraPosition=function(pos){Settings.setCameraPosition(pos,this);this.redraw()};Graph3d.prototype.setSize=function(width,height){this._setSize(width,height);this.redraw()};module.exports=Graph3d},function(module,exports,__webpack_require__){__webpack_require__(163);module.exports=__webpack_require__(7).Object.assign},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S+$export.F,\"Object\",{assign:__webpack_require__(164)})},function(module,exports,__webpack_require__){\"use strict\";var getKeys=__webpack_require__(33);var gOPS=__webpack_require__(63);var pIE=__webpack_require__(42);var toObject=__webpack_require__(41);var IObject=__webpack_require__(78);var $assign=Object.assign;module.exports=!$assign||__webpack_require__(28)(function(){var A={};var B={};var S=Symbol();var K=\"abcdefghijklmnopqrst\";A[S]=7;K.split(\"\").forEach(function(k){B[k]=k});return $assign({},A)[S]!=7||Object.keys($assign({},B)).join(\"\")!=K})?function assign(target,source){var T=toObject(target);var aLen=arguments.length;var index=1;var getSymbols=gOPS.f;var isEnum=pIE.f;while(aLen>index){var S=IObject(arguments[index++]);var keys=getSymbols?getKeys(S).concat(getSymbols(S)):getKeys(S);var length=keys.length;var j=0;var key;while(length>j)if(isEnum.call(S,key=keys[j++]))T[key]=S[key]}return T}:$assign},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(166),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(167);module.exports=__webpack_require__(7).Math.sign},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S,\"Math\",{sign:__webpack_require__(168)})},function(module,exports){module.exports=Math.sign||function sign(x){return(x=+x)==0||x!=x?x:x<0?-1:1}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(170),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(171);var $Object=__webpack_require__(7).Object;module.exports=function defineProperty(it,key,desc){return $Object.defineProperty(it,key,desc)}},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S+$export.F*!__webpack_require__(21),\"Object\",{defineProperty:__webpack_require__(20).f})},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var object=\"object\";var colorOptions={fill:{string:string},stroke:{string:string},strokeWidth:{number:number},__type__:{string:string,object:object,undefined:\"undefined\"}};var allOptions={animationAutoStart:{boolean:bool,undefined:\"undefined\"},animationInterval:{number:number},animationPreload:{boolean:bool},axisColor:{string:string},backgroundColor:colorOptions,xBarWidth:{number:number,undefined:\"undefined\"},yBarWidth:{number:number,undefined:\"undefined\"},cameraPosition:{distance:{number:number},horizontal:{number:number},vertical:{number:number},__type__:{object:object}},xCenter:{string:string},yCenter:{string:string},dataColor:colorOptions,dotSizeMinFraction:{number:number},dotSizeMaxFraction:{number:number},dotSizeRatio:{number:number},filterLabel:{string:string},gridColor:{string:string},onclick:{function:\"function\"},keepAspectRatio:{boolean:bool},xLabel:{string:string},yLabel:{string:string},zLabel:{string:string},legendLabel:{string:string},xMin:{number:number,undefined:\"undefined\"},yMin:{number:number,undefined:\"undefined\"},zMin:{number:number,undefined:\"undefined\"},xMax:{number:number,undefined:\"undefined\"},yMax:{number:number,undefined:\"undefined\"},zMax:{number:number,undefined:\"undefined\"},showAnimationControls:{boolean:bool,undefined:\"undefined\"},showGrid:{boolean:bool},showLegend:{boolean:bool,undefined:\"undefined\"},showPerspective:{boolean:bool},showShadow:{boolean:bool},showXAxis:{boolean:bool},showYAxis:{boolean:bool},showZAxis:{boolean:bool},xStep:{number:number,undefined:\"undefined\"},yStep:{number:number,undefined:\"undefined\"},zStep:{number:number,undefined:\"undefined\"},style:{number:number,string:[\"bar\",\"bar-color\",\"bar-size\",\"dot\",\"dot-line\",\"dot-color\",\"dot-size\",\"line\",\"grid\",\"surface\"]},tooltip:{boolean:bool,function:\"function\"},tooltipStyle:{content:{color:{string:string},background:{string:string},border:{string:string},borderRadius:{string:string},boxShadow:{string:string},padding:{string:string},__type__:{object:object}},line:{borderLeft:{string:string},height:{string:string},width:{string:string},__type__:{object:object}},dot:{border:{string:string},borderRadius:{string:string},height:{string:string},width:{string:string},__type__:{object:object}},__type__:{object:object}},xValueLabel:{function:\"function\"},yValueLabel:{function:\"function\"},zValueLabel:{function:\"function\"},valueMax:{number:number,undefined:\"undefined\"},valueMin:{number:number,undefined:\"undefined\"},verticalRatio:{number:number},height:{string:string},width:{string:string},__type__:{object:object}};exports.allOptions=allOptions},function(module,exports,__webpack_require__){\"use strict\";var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Range=__webpack_require__(174);var Filter=__webpack_require__(96);var Settings=__webpack_require__(94);var Point3d=__webpack_require__(34);function DataGroup(){this.dataTable=null}DataGroup.prototype.initializeData=function(graph3d,rawData,style){if(rawData===undefined)return;if(Array.isArray(rawData)){rawData=new DataSet(rawData)}var data;if(rawData instanceof DataSet||rawData instanceof DataView){data=rawData.get()}else{throw new Error(\"Array, DataSet, or DataView expected\")}if(data.length==0)return;this.style=style;if(this.dataSet){this.dataSet.off(\"*\",this._onChange)}this.dataSet=rawData;this.dataTable=data;var me=this;this._onChange=function(){graph3d.setData(me.dataSet)};this.dataSet.on(\"*\",this._onChange);this.colX=\"x\";this.colY=\"y\";this.colZ=\"z\";var withBars=graph3d.hasBars(style);if(withBars){if(graph3d.defaultXBarWidth!==undefined){this.xBarWidth=graph3d.defaultXBarWidth}else{this.xBarWidth=this.getSmallestDifference(data,this.colX)||1}if(graph3d.defaultYBarWidth!==undefined){this.yBarWidth=graph3d.defaultYBarWidth}else{this.yBarWidth=this.getSmallestDifference(data,this.colY)||1}}this._initializeRange(data,this.colX,graph3d,withBars);this._initializeRange(data,this.colY,graph3d,withBars);this._initializeRange(data,this.colZ,graph3d,false);if(data[0].hasOwnProperty(\"style\")){this.colValue=\"style\";var valueRange=this.getColumnRange(data,this.colValue);this._setRangeDefaults(valueRange,graph3d.defaultValueMin,graph3d.defaultValueMax);this.valueRange=valueRange}var table=this.getDataTable();if(table[0].hasOwnProperty(\"filter\")){if(this.dataFilter===undefined){this.dataFilter=new Filter(this,\"filter\",graph3d);this.dataFilter.setOnLoadCallback(function(){graph3d.redraw()})}}var dataPoints;if(this.dataFilter){dataPoints=this.dataFilter._getDataPoints()}else{dataPoints=this._getDataPoints(this.getDataTable())}return dataPoints};DataGroup.prototype._collectRangeSettings=function(column,graph3d){var index=[\"x\",\"y\",\"z\"].indexOf(column);if(index==-1){throw new Error(\"Column '\"+column+\"' invalid\")}var upper=column.toUpperCase();return{barWidth:this[column+\"BarWidth\"],min:graph3d[\"default\"+upper+\"Min\"],max:graph3d[\"default\"+upper+\"Max\"],step:graph3d[\"default\"+upper+\"Step\"],range_label:column+\"Range\",step_label:column+\"Step\"}};DataGroup.prototype._initializeRange=function(data,column,graph3d,withBars){var NUMSTEPS=5;var settings=this._collectRangeSettings(column,graph3d);var range=this.getColumnRange(data,column);if(withBars&&column!=\"z\"){range.expand(settings.barWidth/2)}this._setRangeDefaults(range,settings.min,settings.max);this[settings.range_label]=range;this[settings.step_label]=settings.step!==undefined?settings.step:range.range()/NUMSTEPS};DataGroup.prototype.getDistinctValues=function(column,data){if(data===undefined){data=this.dataTable}var values=[];for(var i=0;i<data.length;i++){var value=data[i][column]||0;if(values.indexOf(value)===-1){values.push(value)}}return values.sort(function(a,b){return a-b})};DataGroup.prototype.getSmallestDifference=function(data,column){var values=this.getDistinctValues(data,column);var smallest_diff=null;for(var i=1;i<values.length;i++){var diff=values[i]-values[i-1];if(smallest_diff==null||smallest_diff>diff){smallest_diff=diff}}return smallest_diff};DataGroup.prototype.getColumnRange=function(data,column){var range=new Range;for(var i=0;i<data.length;i++){var item=data[i][column];range.adjust(item)}return range};DataGroup.prototype.getNumberOfRows=function(){return this.dataTable.length};DataGroup.prototype._setRangeDefaults=function(range,defaultMin,defaultMax){if(defaultMin!==undefined){range.min=defaultMin}if(defaultMax!==undefined){range.max=defaultMax}if(range.max<=range.min)range.max=range.min+1};DataGroup.prototype.getDataTable=function(){return this.dataTable};DataGroup.prototype.getDataSet=function(){return this.dataSet};DataGroup.prototype.getDataPoints=function(data){var dataPoints=[];for(var i=0;i<data.length;i++){var point=new Point3d;point.x=data[i][this.colX]||0;point.y=data[i][this.colY]||0;point.z=data[i][this.colZ]||0;point.data=data[i];if(this.colValue!==undefined){point.value=data[i][this.colValue]||0}var obj={};obj.point=point;obj.bottom=new Point3d(point.x,point.y,this.zRange.min);obj.trans=undefined;obj.screen=undefined;dataPoints.push(obj)}return dataPoints};DataGroup.prototype.initDataAsMatrix=function(data){var x,y,i,obj;var dataX=this.getDistinctValues(this.colX,data);var dataY=this.getDistinctValues(this.colY,data);var dataPoints=this.getDataPoints(data);var dataMatrix=[];for(i=0;i<dataPoints.length;i++){obj=dataPoints[i];var xIndex=dataX.indexOf(obj.point.x);var yIndex=dataY.indexOf(obj.point.y);if(dataMatrix[xIndex]===undefined){dataMatrix[xIndex]=[]}dataMatrix[xIndex][yIndex]=obj}for(x=0;x<dataMatrix.length;x++){for(y=0;y<dataMatrix[x].length;y++){if(dataMatrix[x][y]){dataMatrix[x][y].pointRight=x<dataMatrix.length-1?dataMatrix[x+1][y]:undefined;dataMatrix[x][y].pointTop=y<dataMatrix[x].length-1?dataMatrix[x][y+1]:undefined;dataMatrix[x][y].pointCross=x<dataMatrix.length-1&&y<dataMatrix[x].length-1?dataMatrix[x+1][y+1]:undefined}}}return dataPoints};DataGroup.prototype.getInfo=function(){var dataFilter=this.dataFilter;if(!dataFilter)return undefined;return dataFilter.getLabel()+\": \"+dataFilter.getSelectedValue()};DataGroup.prototype.reload=function(){if(this.dataTable){this.setData(this.dataTable)}};DataGroup.prototype._getDataPoints=function(data){var dataPoints=[];if(this.style===Settings.STYLE.GRID||this.style===Settings.STYLE.SURFACE){dataPoints=this.initDataAsMatrix(data)}else{this._checkValueField(data);dataPoints=this.getDataPoints(data);if(this.style===Settings.STYLE.LINE){for(var i=0;i<dataPoints.length;i++){if(i>0){dataPoints[i-1].pointNext=dataPoints[i]}}}}return dataPoints};DataGroup.prototype._checkValueField=function(data){var hasValueField=this.style===Settings.STYLE.BARCOLOR||this.style===Settings.STYLE.BARSIZE||this.style===Settings.STYLE.DOTCOLOR||this.style===Settings.STYLE.DOTSIZE;if(!hasValueField){return}if(this.colValue===undefined){throw new Error(\"Expected data to have \"+\" field 'style' \"+\" for graph style '\"+this.style+\"'\")}if(data[0][this.colValue]===undefined){throw new Error(\"Expected data to have \"+\" field '\"+this.colValue+\"' \"+\" for graph style '\"+this.style+\"'\")}};module.exports=DataGroup},function(module,exports,__webpack_require__){\"use strict\";function Range(){this.min=undefined;this.max=undefined}Range.prototype.adjust=function(value){if(value===undefined)return;if(this.min===undefined||this.min>value){this.min=value}if(this.max===undefined||this.max<value){this.max=value}};Range.prototype.combine=function(range){this.add(range.min);this.add(range.max)};Range.prototype.expand=function(val){if(val===undefined){return}var newMin=this.min-val;var newMax=this.max+val;if(newMin>newMax){throw new Error(\"Passed expansion value makes range invalid\")}this.min=newMin;this.max=newMax};Range.prototype.range=function(){return this.max-this.min};Range.prototype.center=function(){return(this.min+this.max)/2};module.exports=Range},function(module,exports,__webpack_require__){\"use strict\";var 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each(obj,iterator,context){var i;if(!obj){return}if(obj.forEach){obj.forEach(iterator,context)}else if(obj.length!==undefined){i=0;while(i<obj.length){iterator.call(context,obj[i],i,obj);i++}}else{for(i in obj){obj.hasOwnProperty(i)&&iterator.call(context,obj[i],i,obj)}}}function deprecate(method,name,message){var deprecationMessage=\"DEPRECATED METHOD: \"+name+\"\\n\"+message+\" AT \\n\";return function(){var e=new Error(\"get-stack-trace\");var stack=e&&e.stack?e.stack.replace(/^[^\\(]+?[\\n$]/gm,\"\").replace(/^\\s+at\\s+/gm,\"\").replace(/^Object.<anonymous>\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\";var log=window.console&&(window.console.warn||window.console.log);if(log){log.call(window.console,deprecationMessage,stack)}return method.apply(this,arguments)}}var assign;if(typeof Object.assign!==\"function\"){assign=function assign(target){if(target===undefined||target===null){throw new TypeError(\"Cannot convert undefined or null to object\")}var output=Object(target);for(var index=1;index<arguments.length;index++){var source=arguments[index];if(source!==undefined&&source!==null){for(var nextKey in source){if(source.hasOwnProperty(nextKey)){output[nextKey]=source[nextKey]}}}}return output}}else{assign=Object.assign}var extend=deprecate(function extend(dest,src,merge){var keys=Object.keys(src);var i=0;while(i<keys.length){if(!merge||merge&&dest[keys[i]]===undefined){dest[keys[i]]=src[keys[i]]}i++}return dest},\"extend\",\"Use `assign`.\");var merge=deprecate(function merge(dest,src){return extend(dest,src,true)},\"merge\",\"Use `assign`.\");function inherit(child,base,properties){var baseP=base.prototype,childP;childP=child.prototype=Object.create(baseP);childP.constructor=child;childP._super=baseP;if(properties){assign(childP,properties)}}function bindFn(fn,context){return function boundFn(){return fn.apply(context,arguments)}}function boolOrFn(val,args){if(typeof val==TYPE_FUNCTION){return val.apply(args?args[0]||undefined:undefined,args)}return val}function ifUndefined(val1,val2){return val1===undefined?val2:val1}function addEventListeners(target,types,handler){each(splitStr(types),function(type){target.addEventListener(type,handler,false)})}function removeEventListeners(target,types,handler){each(splitStr(types),function(type){target.removeEventListener(type,handler,false)})}function hasParent(node,parent){while(node){if(node==parent){return true}node=node.parentNode}return false}function inStr(str,find){return str.indexOf(find)>-1}function splitStr(str){return str.trim().split(/\\s+/g)}function inArray(src,find,findByKey){if(src.indexOf&&!findByKey){return src.indexOf(find)}else{var i=0;while(i<src.length){if(findByKey&&src[i][findByKey]==find||!findByKey&&src[i]===find){return i}i++}return-1}}function toArray(obj){return Array.prototype.slice.call(obj,0)}function uniqueArray(src,key,sort){var results=[];var values=[];var i=0;while(i<src.length){var val=key?src[i][key]:src[i];if(inArray(values,val)<0){results.push(src[i])}values[i]=val;i++}if(sort){if(!key){results=results.sort()}else{results=results.sort(function sortUniqueArray(a,b){return a[key]>b[key]})}}return results}function prefixed(obj,property){var prefix,prop;var camelProp=property[0].toUpperCase()+property.slice(1);var i=0;while(i<VENDOR_PREFIXES.length){prefix=VENDOR_PREFIXES[i];prop=prefix?prefix+camelProp:property;if(prop in obj){return prop}i++}return undefined}var _uniqueId=1;function uniqueId(){return _uniqueId++}function getWindowForElement(element){var doc=element.ownerDocument||element;return doc.defaultView||doc.parentWindow||window}var MOBILE_REGEX=/mobile|tablet|ip(ad|hone|od)|android/i;var SUPPORT_TOUCH=\"ontouchstart\"in window;var SUPPORT_POINTER_EVENTS=prefixed(window,\"PointerEvent\")!==undefined;var SUPPORT_ONLY_TOUCH=SUPPORT_TOUCH&&MOBILE_REGEX.test(navigator.userAgent);var INPUT_TYPE_TOUCH=\"touch\";var INPUT_TYPE_PEN=\"pen\";var INPUT_TYPE_MOUSE=\"mouse\";var INPUT_TYPE_KINECT=\"kinect\";var COMPUTE_INTERVAL=25;var INPUT_START=1;var INPUT_MOVE=2;var INPUT_END=4;var INPUT_CANCEL=8;var DIRECTION_NONE=1;var DIRECTION_LEFT=2;var DIRECTION_RIGHT=4;var DIRECTION_UP=8;var DIRECTION_DOWN=16;var DIRECTION_HORIZONTAL=DIRECTION_LEFT|DIRECTION_RIGHT;var DIRECTION_VERTICAL=DIRECTION_UP|DIRECTION_DOWN;var DIRECTION_ALL=DIRECTION_HORIZONTAL|DIRECTION_VERTICAL;var PROPS_XY=[\"x\",\"y\"];var PROPS_CLIENT_XY=[\"clientX\",\"clientY\"];function Input(manager,callback){var self=this;this.manager=manager;this.callback=callback;this.element=manager.element;this.target=manager.options.inputTarget;this.domHandler=function(ev){if(boolOrFn(manager.options.enable,[manager])){self.handler(ev)}};this.init()}Input.prototype={handler:function(){},init:function(){this.evEl&&addEventListeners(this.element,this.evEl,this.domHandler);this.evTarget&&addEventListeners(this.target,this.evTarget,this.domHandler);this.evWin&&addEventListeners(getWindowForElement(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&removeEventListeners(this.element,this.evEl,this.domHandler);this.evTarget&&removeEventListeners(this.target,this.evTarget,this.domHandler);this.evWin&&removeEventListeners(getWindowForElement(this.element),this.evWin,this.domHandler)}};function createInputInstance(manager){var Type;var inputClass=manager.options.inputClass;if(inputClass){Type=inputClass}else if(SUPPORT_POINTER_EVENTS){Type=PointerEventInput}else if(SUPPORT_ONLY_TOUCH){Type=TouchInput}else if(!SUPPORT_TOUCH){Type=MouseInput}else{Type=TouchMouseInput}return new Type(manager,inputHandler)}function inputHandler(manager,eventType,input){var pointersLen=input.pointers.length;var changedPointersLen=input.changedPointers.length;var isFirst=eventType&INPUT_START&&pointersLen-changedPointersLen===0;var isFinal=eventType&(INPUT_END|INPUT_CANCEL)&&pointersLen-changedPointersLen===0;input.isFirst=!!isFirst;input.isFinal=!!isFinal;if(isFirst){manager.session={}}input.eventType=eventType;computeInputData(manager,input);manager.emit(\"hammer.input\",input);manager.recognize(input);manager.session.prevInput=input}function computeInputData(manager,input){var session=manager.session;var pointers=input.pointers;var pointersLength=pointers.length;if(!session.firstInput){session.firstInput=simpleCloneInputData(input)}if(pointersLength>1&&!session.firstMultiple){session.firstMultiple=simpleCloneInputData(input)}else if(pointersLength===1){session.firstMultiple=false}var firstInput=session.firstInput;var firstMultiple=session.firstMultiple;var offsetCenter=firstMultiple?firstMultiple.center:firstInput.center;var center=input.center=getCenter(pointers);input.timeStamp=now();input.deltaTime=input.timeStamp-firstInput.timeStamp;input.angle=getAngle(offsetCenter,center);input.distance=getDistance(offsetCenter,center);computeDeltaXY(session,input);input.offsetDirection=getDirection(input.deltaX,input.deltaY);var overallVelocity=getVelocity(input.deltaTime,input.deltaX,input.deltaY);input.overallVelocityX=overallVelocity.x;input.overallVelocityY=overallVelocity.y;input.overallVelocity=abs(overallVelocity.x)>abs(overallVelocity.y)?overallVelocity.x:overallVelocity.y;input.scale=firstMultiple?getScale(firstMultiple.pointers,pointers):1;input.rotation=firstMultiple?getRotation(firstMultiple.pointers,pointers):0;input.maxPointers=!session.prevInput?input.pointers.length:input.pointers.length>session.prevInput.maxPointers?input.pointers.length:session.prevInput.maxPointers;computeIntervalInputData(session,input);var target=manager.element;if(hasParent(input.srcEvent.target,target)){target=input.srcEvent.target}input.target=target}function computeDeltaXY(session,input){var center=input.center;var offset=session.offsetDelta||{};var prevDelta=session.prevDelta||{};var prevInput=session.prevInput||{};if(input.eventType===INPUT_START||prevInput.eventType===INPUT_END){prevDelta=session.prevDelta={x:prevInput.deltaX||0,y:prevInput.deltaY||0};offset=session.offsetDelta={x:center.x,y:center.y}}input.deltaX=prevDelta.x+(center.x-offset.x);input.deltaY=prevDelta.y+(center.y-offset.y)}function computeIntervalInputData(session,input){var last=session.lastInterval||input,deltaTime=input.timeStamp-last.timeStamp,velocity,velocityX,velocityY,direction;if(input.eventType!=INPUT_CANCEL&&(deltaTime>COMPUTE_INTERVAL||last.velocity===undefined)){var deltaX=input.deltaX-last.deltaX;var deltaY=input.deltaY-last.deltaY;var v=getVelocity(deltaTime,deltaX,deltaY);velocityX=v.x;velocityY=v.y;velocity=abs(v.x)>abs(v.y)?v.x:v.y;direction=getDirection(deltaX,deltaY);session.lastInterval=input}else{velocity=last.velocity;velocityX=last.velocityX;velocityY=last.velocityY;direction=last.direction}input.velocity=velocity;input.velocityX=velocityX;input.velocityY=velocityY;input.direction=direction}function simpleCloneInputData(input){var pointers=[];var i=0;while(i<input.pointers.length){pointers[i]={clientX:round(input.pointers[i].clientX),clientY:round(input.pointers[i].clientY)};i++}return{timeStamp:now(),pointers:pointers,center:getCenter(pointers),deltaX:input.deltaX,deltaY:input.deltaY}}function getCenter(pointers){var pointersLength=pointers.length;if(pointersLength===1){return{x:round(pointers[0].clientX),y:round(pointers[0].clientY)}}var x=0,y=0,i=0;while(i<pointersLength){x+=pointers[i].clientX;y+=pointers[i].clientY;i++}return{x:round(x/pointersLength),y:round(y/pointersLength)}}function getVelocity(deltaTime,x,y){return{x:x/deltaTime||0,y:y/deltaTime||0}}function getDirection(x,y){if(x===y){return DIRECTION_NONE}if(abs(x)>=abs(y)){return x<0?DIRECTION_LEFT:DIRECTION_RIGHT}return y<0?DIRECTION_UP:DIRECTION_DOWN}function getDistance(p1,p2,props){if(!props){props=PROPS_XY}var x=p2[props[0]]-p1[props[0]],y=p2[props[1]]-p1[props[1]];return Math.sqrt(x*x+y*y)}function getAngle(p1,p2,props){if(!props){props=PROPS_XY}var x=p2[props[0]]-p1[props[0]],y=p2[props[1]]-p1[props[1]];return Math.atan2(y,x)*180/Math.PI}function getRotation(start,end){return getAngle(end[1],end[0],PROPS_CLIENT_XY)+getAngle(start[1],start[0],PROPS_CLIENT_XY)}function getScale(start,end){return getDistance(end[0],end[1],PROPS_CLIENT_XY)/getDistance(start[0],start[1],PROPS_CLIENT_XY)}var MOUSE_INPUT_MAP={mousedown:INPUT_START,mousemove:INPUT_MOVE,mouseup:INPUT_END};var MOUSE_ELEMENT_EVENTS=\"mousedown\";var MOUSE_WINDOW_EVENTS=\"mousemove mouseup\";function MouseInput(){this.evEl=MOUSE_ELEMENT_EVENTS;this.evWin=MOUSE_WINDOW_EVENTS;this.pressed=false;Input.apply(this,arguments)}inherit(MouseInput,Input,{handler:function MEhandler(ev){var eventType=MOUSE_INPUT_MAP[ev.type];if(eventType&INPUT_START&&ev.button===0){this.pressed=true}if(eventType&INPUT_MOVE&&ev.which!==1){eventType=INPUT_END}if(!this.pressed){return}if(eventType&INPUT_END){this.pressed=false}this.callback(this.manager,eventType,{pointers:[ev],changedPointers:[ev],pointerType:INPUT_TYPE_MOUSE,srcEvent:ev})}});var POINTER_INPUT_MAP={pointerdown:INPUT_START,pointermove:INPUT_MOVE,pointerup:INPUT_END,pointercancel:INPUT_CANCEL,pointerout:INPUT_CANCEL};var IE10_POINTER_TYPE_ENUM={2:INPUT_TYPE_TOUCH,3:INPUT_TYPE_PEN,4:INPUT_TYPE_MOUSE,5:INPUT_TYPE_KINECT};var POINTER_ELEMENT_EVENTS=\"pointerdown\";var POINTER_WINDOW_EVENTS=\"pointermove pointerup pointercancel\";if(window.MSPointerEvent&&!window.PointerEvent){POINTER_ELEMENT_EVENTS=\"MSPointerDown\";POINTER_WINDOW_EVENTS=\"MSPointerMove MSPointerUp MSPointerCancel\"}function PointerEventInput(){this.evEl=POINTER_ELEMENT_EVENTS;this.evWin=POINTER_WINDOW_EVENTS;Input.apply(this,arguments);this.store=this.manager.session.pointerEvents=[]}inherit(PointerEventInput,Input,{handler:function PEhandler(ev){var store=this.store;var removePointer=false;var eventTypeNormalized=ev.type.toLowerCase().replace(\"ms\",\"\");var eventType=POINTER_INPUT_MAP[eventTypeNormalized];var pointerType=IE10_POINTER_TYPE_ENUM[ev.pointerType]||ev.pointerType;var isTouch=pointerType==INPUT_TYPE_TOUCH;var storeIndex=inArray(store,ev.pointerId,\"pointerId\");if(eventType&INPUT_START&&(ev.button===0||isTouch)){if(storeIndex<0){store.push(ev);storeIndex=store.length-1}}else if(eventType&(INPUT_END|INPUT_CANCEL)){removePointer=true}if(storeIndex<0){return}store[storeIndex]=ev;this.callback(this.manager,eventType,{pointers:store,changedPointers:[ev],pointerType:pointerType,srcEvent:ev});if(removePointer){store.splice(storeIndex,1)}}});var SINGLE_TOUCH_INPUT_MAP={touchstart:INPUT_START,touchmove:INPUT_MOVE,touchend:INPUT_END,touchcancel:INPUT_CANCEL};var SINGLE_TOUCH_TARGET_EVENTS=\"touchstart\";var SINGLE_TOUCH_WINDOW_EVENTS=\"touchstart touchmove touchend touchcancel\";function SingleTouchInput(){this.evTarget=SINGLE_TOUCH_TARGET_EVENTS;this.evWin=SINGLE_TOUCH_WINDOW_EVENTS;this.started=false;Input.apply(this,arguments)}inherit(SingleTouchInput,Input,{handler:function TEhandler(ev){var type=SINGLE_TOUCH_INPUT_MAP[ev.type];if(type===INPUT_START){this.started=true}if(!this.started){return}var touches=normalizeSingleTouches.call(this,ev,type);if(type&(INPUT_END|INPUT_CANCEL)&&touches[0].length-touches[1].length===0){this.started=false}this.callback(this.manager,type,{pointers:touches[0],changedPointers:touches[1],pointerType:INPUT_TYPE_TOUCH,srcEvent:ev})}});function normalizeSingleTouches(ev,type){var all=toArray(ev.touches);var changed=toArray(ev.changedTouches);if(type&(INPUT_END|INPUT_CANCEL)){all=uniqueArray(all.concat(changed),\"identifier\",true)}return[all,changed]}var TOUCH_INPUT_MAP={touchstart:INPUT_START,touchmove:INPUT_MOVE,touchend:INPUT_END,touchcancel:INPUT_CANCEL};var TOUCH_TARGET_EVENTS=\"touchstart touchmove touchend touchcancel\";function TouchInput(){this.evTarget=TOUCH_TARGET_EVENTS;this.targetIds={};Input.apply(this,arguments)}inherit(TouchInput,Input,{handler:function MTEhandler(ev){var type=TOUCH_INPUT_MAP[ev.type];var touches=getTouches.call(this,ev,type);if(!touches){return}this.callback(this.manager,type,{pointers:touches[0],changedPointers:touches[1],pointerType:INPUT_TYPE_TOUCH,srcEvent:ev})}});function getTouches(ev,type){var allTouches=toArray(ev.touches);var targetIds=this.targetIds;if(type&(INPUT_START|INPUT_MOVE)&&allTouches.length===1){targetIds[allTouches[0].identifier]=true;return[allTouches,allTouches]}var i,targetTouches,changedTouches=toArray(ev.changedTouches),changedTargetTouches=[],target=this.target;targetTouches=allTouches.filter(function(touch){return hasParent(touch.target,target)});if(type===INPUT_START){i=0;while(i<targetTouches.length){targetIds[targetTouches[i].identifier]=true;i++}}i=0;while(i<changedTouches.length){if(targetIds[changedTouches[i].identifier]){changedTargetTouches.push(changedTouches[i])}if(type&(INPUT_END|INPUT_CANCEL)){delete targetIds[changedTouches[i].identifier]}i++}if(!changedTargetTouches.length){return}return[uniqueArray(targetTouches.concat(changedTargetTouches),\"identifier\",true),changedTargetTouches]}var DEDUP_TIMEOUT=2500;var DEDUP_DISTANCE=25;function TouchMouseInput(){Input.apply(this,arguments);var handler=bindFn(this.handler,this);this.touch=new TouchInput(this.manager,handler);this.mouse=new MouseInput(this.manager,handler);this.primaryTouch=null;this.lastTouches=[]}inherit(TouchMouseInput,Input,{handler:function TMEhandler(manager,inputEvent,inputData){var isTouch=inputData.pointerType==INPUT_TYPE_TOUCH,isMouse=inputData.pointerType==INPUT_TYPE_MOUSE;if(isMouse&&inputData.sourceCapabilities&&inputData.sourceCapabilities.firesTouchEvents){return}if(isTouch){recordTouches.call(this,inputEvent,inputData)}else if(isMouse&&isSyntheticEvent.call(this,inputData)){return}this.callback(manager,inputEvent,inputData)},destroy:function destroy(){this.touch.destroy();this.mouse.destroy()}});function recordTouches(eventType,eventData){if(eventType&INPUT_START){this.primaryTouch=eventData.changedPointers[0].identifier;setLastTouch.call(this,eventData)}else if(eventType&(INPUT_END|INPUT_CANCEL)){setLastTouch.call(this,eventData)}}function setLastTouch(eventData){var touch=eventData.changedPointers[0];if(touch.identifier===this.primaryTouch){var lastTouch={x:touch.clientX,y:touch.clientY};this.lastTouches.push(lastTouch);var lts=this.lastTouches;var removeLastTouch=function(){var i=lts.indexOf(lastTouch);if(i>-1){lts.splice(i,1)}};setTimeout(removeLastTouch,DEDUP_TIMEOUT)}}function isSyntheticEvent(eventData){var x=eventData.srcEvent.clientX,y=eventData.srcEvent.clientY;for(var i=0;i<this.lastTouches.length;i++){var t=this.lastTouches[i];var dx=Math.abs(x-t.x),dy=Math.abs(y-t.y);if(dx<=DEDUP_DISTANCE&&dy<=DEDUP_DISTANCE){return true}}return false}var PREFIXED_TOUCH_ACTION=prefixed(TEST_ELEMENT.style,\"touchAction\");var NATIVE_TOUCH_ACTION=PREFIXED_TOUCH_ACTION!==undefined;var TOUCH_ACTION_COMPUTE=\"compute\";var TOUCH_ACTION_AUTO=\"auto\";var TOUCH_ACTION_MANIPULATION=\"manipulation\";var TOUCH_ACTION_NONE=\"none\";var TOUCH_ACTION_PAN_X=\"pan-x\";var TOUCH_ACTION_PAN_Y=\"pan-y\";var TOUCH_ACTION_MAP=getTouchActionProps();function TouchAction(manager,value){this.manager=manager;this.set(value)}TouchAction.prototype={set:function(value){if(value==TOUCH_ACTION_COMPUTE){value=this.compute()}if(NATIVE_TOUCH_ACTION&&this.manager.element.style&&TOUCH_ACTION_MAP[value]){this.manager.element.style[PREFIXED_TOUCH_ACTION]=value}this.actions=value.toLowerCase().trim()},update:function(){this.set(this.manager.options.touchAction)},compute:function(){var actions=[];each(this.manager.recognizers,function(recognizer){if(boolOrFn(recognizer.options.enable,[recognizer])){actions=actions.concat(recognizer.getTouchAction())}});return cleanTouchActions(actions.join(\" \"))},preventDefaults:function(input){var srcEvent=input.srcEvent;var direction=input.offsetDirection;if(this.manager.session.prevented){srcEvent.preventDefault();return}var actions=this.actions;var hasNone=inStr(actions,TOUCH_ACTION_NONE)&&!TOUCH_ACTION_MAP[TOUCH_ACTION_NONE];var hasPanY=inStr(actions,TOUCH_ACTION_PAN_Y)&&!TOUCH_ACTION_MAP[TOUCH_ACTION_PAN_Y];var hasPanX=inStr(actions,TOUCH_ACTION_PAN_X)&&!TOUCH_ACTION_MAP[TOUCH_ACTION_PAN_X];if(hasNone){var isTapPointer=input.pointers.length===1;var isTapMovement=input.distance<2;var isTapTouchTime=input.deltaTime<250;if(isTapPointer&&isTapMovement&&isTapTouchTime){return}}if(hasPanX&&hasPanY){return}if(hasNone||hasPanY&&direction&DIRECTION_HORIZONTAL||hasPanX&&direction&DIRECTION_VERTICAL){return this.preventSrc(srcEvent)}},preventSrc:function(srcEvent){this.manager.session.prevented=true;srcEvent.preventDefault()}};function cleanTouchActions(actions){if(inStr(actions,TOUCH_ACTION_NONE)){return TOUCH_ACTION_NONE}var hasPanX=inStr(actions,TOUCH_ACTION_PAN_X);var hasPanY=inStr(actions,TOUCH_ACTION_PAN_Y);if(hasPanX&&hasPanY){return TOUCH_ACTION_NONE}if(hasPanX||hasPanY){return hasPanX?TOUCH_ACTION_PAN_X:TOUCH_ACTION_PAN_Y}if(inStr(actions,TOUCH_ACTION_MANIPULATION)){return TOUCH_ACTION_MANIPULATION}return TOUCH_ACTION_AUTO}function getTouchActionProps(){if(!NATIVE_TOUCH_ACTION){return false}var touchMap={};var cssSupports=window.CSS&&window.CSS.supports;[\"auto\",\"manipulation\",\"pan-y\",\"pan-x\",\"pan-x pan-y\",\"none\"].forEach(function(val){touchMap[val]=cssSupports?window.CSS.supports(\"touch-action\",val):true});return touchMap}var STATE_POSSIBLE=1;var STATE_BEGAN=2;var STATE_CHANGED=4;var STATE_ENDED=8;var STATE_RECOGNIZED=STATE_ENDED;var STATE_CANCELLED=16;var STATE_FAILED=32;function Recognizer(options){this.options=assign({},this.defaults,options||{});this.id=uniqueId();this.manager=null;this.options.enable=ifUndefined(this.options.enable,true);this.state=STATE_POSSIBLE;this.simultaneous={};this.requireFail=[]}Recognizer.prototype={defaults:{},set:function(options){assign(this.options,options);this.manager&&this.manager.touchAction.update();return this},recognizeWith:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"recognizeWith\",this)){return this}var simultaneous=this.simultaneous;otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);if(!simultaneous[otherRecognizer.id]){simultaneous[otherRecognizer.id]=otherRecognizer;otherRecognizer.recognizeWith(this)}return this},dropRecognizeWith:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"dropRecognizeWith\",this)){return this}otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);delete this.simultaneous[otherRecognizer.id];return this},requireFailure:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"requireFailure\",this)){return this}var requireFail=this.requireFail;otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);if(inArray(requireFail,otherRecognizer)===-1){requireFail.push(otherRecognizer);otherRecognizer.requireFailure(this)}return this},dropRequireFailure:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"dropRequireFailure\",this)){return this}otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);var index=inArray(this.requireFail,otherRecognizer);if(index>-1){this.requireFail.splice(index,1)}return this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(otherRecognizer){return!!this.simultaneous[otherRecognizer.id]},emit:function(input){var self=this;var state=this.state;function emit(event){self.manager.emit(event,input)}if(state<STATE_ENDED){emit(self.options.event+stateStr(state))}emit(self.options.event);if(input.additionalEvent){emit(input.additionalEvent)}if(state>=STATE_ENDED){emit(self.options.event+stateStr(state))}},tryEmit:function(input){if(this.canEmit()){return this.emit(input)}this.state=STATE_FAILED},canEmit:function(){var i=0;while(i<this.requireFail.length){if(!(this.requireFail[i].state&(STATE_FAILED|STATE_POSSIBLE))){return false}i++}return true},recognize:function(inputData){var inputDataClone=assign({},inputData);if(!boolOrFn(this.options.enable,[this,inputDataClone])){this.reset();this.state=STATE_FAILED;return}if(this.state&(STATE_RECOGNIZED|STATE_CANCELLED|STATE_FAILED)){this.state=STATE_POSSIBLE}this.state=this.process(inputDataClone);if(this.state&(STATE_BEGAN|STATE_CHANGED|STATE_ENDED|STATE_CANCELLED)){this.tryEmit(inputDataClone)}},process:function(inputData){},getTouchAction:function(){},reset:function(){}};function stateStr(state){if(state&STATE_CANCELLED){return\"cancel\"}else if(state&STATE_ENDED){return\"end\"}else if(state&STATE_CHANGED){return\"move\"}else if(state&STATE_BEGAN){return\"start\"}return\"\"}function directionStr(direction){if(direction==DIRECTION_DOWN){return\"down\"}else if(direction==DIRECTION_UP){return\"up\"}else if(direction==DIRECTION_LEFT){return\"left\"}else if(direction==DIRECTION_RIGHT){return\"right\"}return\"\"}function getRecognizerByNameIfManager(otherRecognizer,recognizer){var manager=recognizer.manager;if(manager){return manager.get(otherRecognizer)}return otherRecognizer}function AttrRecognizer(){Recognizer.apply(this,arguments)}inherit(AttrRecognizer,Recognizer,{defaults:{pointers:1},attrTest:function(input){var optionPointers=this.options.pointers;return optionPointers===0||input.pointers.length===optionPointers},process:function(input){var state=this.state;var eventType=input.eventType;var isRecognized=state&(STATE_BEGAN|STATE_CHANGED);var isValid=this.attrTest(input);if(isRecognized&&(eventType&INPUT_CANCEL||!isValid)){return state|STATE_CANCELLED}else if(isRecognized||isValid){if(eventType&INPUT_END){return state|STATE_ENDED}else if(!(state&STATE_BEGAN)){return STATE_BEGAN}return state|STATE_CHANGED}return STATE_FAILED}});function PanRecognizer(){AttrRecognizer.apply(this,arguments);this.pX=null;this.pY=null}inherit(PanRecognizer,AttrRecognizer,{defaults:{event:\"pan\",threshold:10,pointers:1,direction:DIRECTION_ALL},getTouchAction:function(){var direction=this.options.direction;var actions=[];if(direction&DIRECTION_HORIZONTAL){actions.push(TOUCH_ACTION_PAN_Y)}if(direction&DIRECTION_VERTICAL){actions.push(TOUCH_ACTION_PAN_X)}return actions},directionTest:function(input){var options=this.options;var hasMoved=true;var distance=input.distance;var direction=input.direction;var x=input.deltaX;var y=input.deltaY;if(!(direction&options.direction)){if(options.direction&DIRECTION_HORIZONTAL){direction=x===0?DIRECTION_NONE:x<0?DIRECTION_LEFT:DIRECTION_RIGHT;hasMoved=x!=this.pX;distance=Math.abs(input.deltaX)}else{direction=y===0?DIRECTION_NONE:y<0?DIRECTION_UP:DIRECTION_DOWN;hasMoved=y!=this.pY;distance=Math.abs(input.deltaY)}}input.direction=direction;return hasMoved&&distance>options.threshold&&direction&options.direction},attrTest:function(input){return AttrRecognizer.prototype.attrTest.call(this,input)&&(this.state&STATE_BEGAN||!(this.state&STATE_BEGAN)&&this.directionTest(input))},emit:function(input){this.pX=input.deltaX;this.pY=input.deltaY;var direction=directionStr(input.direction);if(direction){input.additionalEvent=this.options.event+direction}this._super.emit.call(this,input)}});function PinchRecognizer(){AttrRecognizer.apply(this,arguments)}inherit(PinchRecognizer,AttrRecognizer,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[TOUCH_ACTION_NONE]},attrTest:function(input){return this._super.attrTest.call(this,input)&&(Math.abs(input.scale-1)>this.options.threshold||this.state&STATE_BEGAN)},emit:function(input){if(input.scale!==1){var inOut=input.scale<1?\"in\":\"out\";input.additionalEvent=this.options.event+inOut}this._super.emit.call(this,input)}});function PressRecognizer(){Recognizer.apply(this,arguments);this._timer=null;this._input=null}inherit(PressRecognizer,Recognizer,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[TOUCH_ACTION_AUTO]},process:function(input){var options=this.options;var validPointers=input.pointers.length===options.pointers;var validMovement=input.distance<options.threshold;var validTime=input.deltaTime>options.time;this._input=input;if(!validMovement||!validPointers||input.eventType&(INPUT_END|INPUT_CANCEL)&&!validTime){this.reset()}else if(input.eventType&INPUT_START){this.reset();this._timer=setTimeoutContext(function(){this.state=STATE_RECOGNIZED;this.tryEmit()},options.time,this)}else if(input.eventType&INPUT_END){return STATE_RECOGNIZED}return STATE_FAILED},reset:function(){clearTimeout(this._timer)},emit:function(input){if(this.state!==STATE_RECOGNIZED){return}if(input&&input.eventType&INPUT_END){this.manager.emit(this.options.event+\"up\",input)}else{this._input.timeStamp=now();this.manager.emit(this.options.event,this._input)}}});function RotateRecognizer(){AttrRecognizer.apply(this,arguments)}inherit(RotateRecognizer,AttrRecognizer,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[TOUCH_ACTION_NONE]},attrTest:function(input){return this._super.attrTest.call(this,input)&&(Math.abs(input.rotation)>this.options.threshold||this.state&STATE_BEGAN)}});function SwipeRecognizer(){AttrRecognizer.apply(this,arguments)}inherit(SwipeRecognizer,AttrRecognizer,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:DIRECTION_HORIZONTAL|DIRECTION_VERTICAL,pointers:1},getTouchAction:function(){return PanRecognizer.prototype.getTouchAction.call(this)},attrTest:function(input){var direction=this.options.direction;var velocity;if(direction&(DIRECTION_HORIZONTAL|DIRECTION_VERTICAL)){velocity=input.overallVelocity}else if(direction&DIRECTION_HORIZONTAL){velocity=input.overallVelocityX}else if(direction&DIRECTION_VERTICAL){velocity=input.overallVelocityY}return this._super.attrTest.call(this,input)&&direction&input.offsetDirection&&input.distance>this.options.threshold&&input.maxPointers==this.options.pointers&&abs(velocity)>this.options.velocity&&input.eventType&INPUT_END},emit:function(input){var direction=directionStr(input.offsetDirection);if(direction){this.manager.emit(this.options.event+direction,input)}this.manager.emit(this.options.event,input)}});function TapRecognizer(){Recognizer.apply(this,arguments);this.pTime=false;this.pCenter=false;this._timer=null;this._input=null;this.count=0}inherit(TapRecognizer,Recognizer,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[TOUCH_ACTION_MANIPULATION]},process:function(input){var options=this.options;var validPointers=input.pointers.length===options.pointers;var validMovement=input.distance<options.threshold;var validTouchTime=input.deltaTime<options.time;this.reset();if(input.eventType&INPUT_START&&this.count===0){return this.failTimeout()}if(validMovement&&validTouchTime&&validPointers){if(input.eventType!=INPUT_END){return this.failTimeout()}var validInterval=this.pTime?input.timeStamp-this.pTime<options.interval:true;var validMultiTap=!this.pCenter||getDistance(this.pCenter,input.center)<options.posThreshold;this.pTime=input.timeStamp;this.pCenter=input.center;if(!validMultiTap||!validInterval){this.count=1}else{this.count+=1}this._input=input;var tapCount=this.count%options.taps;if(tapCount===0){if(!this.hasRequireFailures()){return STATE_RECOGNIZED}else{this._timer=setTimeoutContext(function(){this.state=STATE_RECOGNIZED;this.tryEmit()},options.interval,this);return STATE_BEGAN}}}return STATE_FAILED},failTimeout:function(){this._timer=setTimeoutContext(function(){this.state=STATE_FAILED},this.options.interval,this);return STATE_FAILED},reset:function(){clearTimeout(this._timer)},emit:function(){if(this.state==STATE_RECOGNIZED){this._input.tapCount=this.count;this.manager.emit(this.options.event,this._input)}}});function Hammer(element,options){options=options||{};options.recognizers=ifUndefined(options.recognizers,Hammer.defaults.preset);return new Manager(element,options)}Hammer.VERSION=\"2.0.7\";Hammer.defaults={domEvents:false,touchAction:TOUCH_ACTION_COMPUTE,enable:true,inputTarget:null,inputClass:null,preset:[[RotateRecognizer,{enable:false}],[PinchRecognizer,{enable:false},[\"rotate\"]],[SwipeRecognizer,{direction:DIRECTION_HORIZONTAL}],[PanRecognizer,{direction:DIRECTION_HORIZONTAL},[\"swipe\"]],[TapRecognizer],[TapRecognizer,{event:\"doubletap\",taps:2},[\"tap\"]],[PressRecognizer]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};var STOP=1;var FORCED_STOP=2;function Manager(element,options){this.options=assign({},Hammer.defaults,options||{});this.options.inputTarget=this.options.inputTarget||element;this.handlers={};this.session={};this.recognizers=[];this.oldCssProps={};this.element=element;this.input=createInputInstance(this);this.touchAction=new TouchAction(this,this.options.touchAction);toggleCssProps(this,true);each(this.options.recognizers,function(item){var recognizer=this.add(new item[0](item[1]));item[2]&&recognizer.recognizeWith(item[2]);item[3]&&recognizer.requireFailure(item[3])},this)}Manager.prototype={set:function(options){assign(this.options,options);if(options.touchAction){this.touchAction.update()}if(options.inputTarget){this.input.destroy();this.input.target=options.inputTarget;this.input.init()}return this},stop:function(force){this.session.stopped=force?FORCED_STOP:STOP},recognize:function(inputData){var session=this.session;if(session.stopped){return}this.touchAction.preventDefaults(inputData)\n;var recognizer;var recognizers=this.recognizers;var curRecognizer=session.curRecognizer;if(!curRecognizer||curRecognizer&&curRecognizer.state&STATE_RECOGNIZED){curRecognizer=session.curRecognizer=null}var i=0;while(i<recognizers.length){recognizer=recognizers[i];if(session.stopped!==FORCED_STOP&&(!curRecognizer||recognizer==curRecognizer||recognizer.canRecognizeWith(curRecognizer))){recognizer.recognize(inputData)}else{recognizer.reset()}if(!curRecognizer&&recognizer.state&(STATE_BEGAN|STATE_CHANGED|STATE_ENDED)){curRecognizer=session.curRecognizer=recognizer}i++}},get:function(recognizer){if(recognizer instanceof Recognizer){return recognizer}var recognizers=this.recognizers;for(var i=0;i<recognizers.length;i++){if(recognizers[i].options.event==recognizer){return recognizers[i]}}return null},add:function(recognizer){if(invokeArrayArg(recognizer,\"add\",this)){return this}var existing=this.get(recognizer.options.event);if(existing){this.remove(existing)}this.recognizers.push(recognizer);recognizer.manager=this;this.touchAction.update();return recognizer},remove:function(recognizer){if(invokeArrayArg(recognizer,\"remove\",this)){return this}recognizer=this.get(recognizer);if(recognizer){var recognizers=this.recognizers;var index=inArray(recognizers,recognizer);if(index!==-1){recognizers.splice(index,1);this.touchAction.update()}}return this},on:function(events,handler){if(events===undefined){return}if(handler===undefined){return}var handlers=this.handlers;each(splitStr(events),function(event){handlers[event]=handlers[event]||[];handlers[event].push(handler)});return this},off:function(events,handler){if(events===undefined){return}var handlers=this.handlers;each(splitStr(events),function(event){if(!handler){delete handlers[event]}else{handlers[event]&&handlers[event].splice(inArray(handlers[event],handler),1)}});return this},emit:function(event,data){if(this.options.domEvents){triggerDomEvent(event,data)}var handlers=this.handlers[event]&&this.handlers[event].slice();if(!handlers||!handlers.length){return}data.type=event;data.preventDefault=function(){data.srcEvent.preventDefault()};var i=0;while(i<handlers.length){handlers[i](data);i++}},destroy:function(){this.element&&toggleCssProps(this,false);this.handlers={};this.session={};this.input.destroy();this.element=null}};function toggleCssProps(manager,add){var element=manager.element;if(!element.style){return}var prop;each(manager.options.cssProps,function(value,name){prop=prefixed(element.style,name);if(add){manager.oldCssProps[prop]=element.style[prop];element.style[prop]=value}else{element.style[prop]=manager.oldCssProps[prop]||\"\"}});if(!add){manager.oldCssProps={}}}function triggerDomEvent(event,data){var gestureEvent=document.createEvent(\"Event\");gestureEvent.initEvent(event,true,true);gestureEvent.gesture=data;data.target.dispatchEvent(gestureEvent)}assign(Hammer,{INPUT_START:INPUT_START,INPUT_MOVE:INPUT_MOVE,INPUT_END:INPUT_END,INPUT_CANCEL:INPUT_CANCEL,STATE_POSSIBLE:STATE_POSSIBLE,STATE_BEGAN:STATE_BEGAN,STATE_CHANGED:STATE_CHANGED,STATE_ENDED:STATE_ENDED,STATE_RECOGNIZED:STATE_RECOGNIZED,STATE_CANCELLED:STATE_CANCELLED,STATE_FAILED:STATE_FAILED,DIRECTION_NONE:DIRECTION_NONE,DIRECTION_LEFT:DIRECTION_LEFT,DIRECTION_RIGHT:DIRECTION_RIGHT,DIRECTION_UP:DIRECTION_UP,DIRECTION_DOWN:DIRECTION_DOWN,DIRECTION_HORIZONTAL:DIRECTION_HORIZONTAL,DIRECTION_VERTICAL:DIRECTION_VERTICAL,DIRECTION_ALL:DIRECTION_ALL,Manager:Manager,Input:Input,TouchAction:TouchAction,TouchInput:TouchInput,MouseInput:MouseInput,PointerEventInput:PointerEventInput,TouchMouseInput:TouchMouseInput,SingleTouchInput:SingleTouchInput,Recognizer:Recognizer,AttrRecognizer:AttrRecognizer,Tap:TapRecognizer,Pan:PanRecognizer,Swipe:SwipeRecognizer,Pinch:PinchRecognizer,Rotate:RotateRecognizer,Press:PressRecognizer,on:addEventListeners,off:removeEventListeners,each:each,merge:merge,extend:extend,assign:assign,inherit:inherit,bindFn:bindFn,prefixed:prefixed});var freeGlobal=typeof window!==\"undefined\"?window:typeof self!==\"undefined\"?self:{};freeGlobal.Hammer=Hammer;if(true){!(__WEBPACK_AMD_DEFINE_RESULT__=function(){return Hammer}.call(exports,__webpack_require__,exports,module),__WEBPACK_AMD_DEFINE_RESULT__!==undefined&&(module.exports=__WEBPACK_AMD_DEFINE_RESULT__))}else if(typeof module!=\"undefined\"&&module.exports){module.exports=Hammer}else{window[exportName]=Hammer}})(window,document,\"Hammer\")},function(module,exports,__webpack_require__){\"use strict\";exports.util=__webpack_require__(2);exports.DOMutil=__webpack_require__(14);exports.DataSet=__webpack_require__(11);exports.DataView=__webpack_require__(12);exports.Queue=__webpack_require__(43);exports.Timeline=__webpack_require__(178);exports.Graph2d=__webpack_require__(180);exports.timeline={Core:__webpack_require__(65),DateUtil:__webpack_require__(36),Range:__webpack_require__(64),stack:__webpack_require__(100),TimeStep:__webpack_require__(66),components:{items:{Item:__webpack_require__(38),BackgroundItem:__webpack_require__(103),BoxItem:__webpack_require__(101),PointItem:__webpack_require__(102),RangeItem:__webpack_require__(70)},BackgroundGroup:__webpack_require__(69),Component:__webpack_require__(16),CurrentTime:__webpack_require__(67),CustomTime:__webpack_require__(46),DataAxis:__webpack_require__(107),DataScale:__webpack_require__(108),GraphGroup:__webpack_require__(109),Group:__webpack_require__(68),ItemSet:__webpack_require__(99),Legend:__webpack_require__(112),LineGraph:__webpack_require__(106),TimeAxis:__webpack_require__(45)}};exports.moment=__webpack_require__(9);exports.Hammer=__webpack_require__(10);exports.keycharm=__webpack_require__(35)},function(module,exports,__webpack_require__){\"use strict\";var moment=__webpack_require__(9);var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Range=__webpack_require__(64);var Core=__webpack_require__(65);var TimeAxis=__webpack_require__(45);var CurrentTime=__webpack_require__(67);var CustomTime=__webpack_require__(46);var ItemSet=__webpack_require__(99);var printStyle=__webpack_require__(15).printStyle;var allOptions=__webpack_require__(105).allOptions;var configureOptions=__webpack_require__(105).configureOptions;var Configurator=__webpack_require__(71)[\"default\"];var Validator=__webpack_require__(15)[\"default\"];function Timeline(container,items,groups,options){if(!(this instanceof Timeline)){throw new SyntaxError(\"Constructor must be called with the new operator\")}if(!(Array.isArray(groups)||groups instanceof DataSet||groups instanceof DataView)&&groups instanceof Object){var forthArgument=options;options=groups;groups=forthArgument}if(options&&options.throttleRedraw){console.warn('Timeline option \"throttleRedraw\" is DEPRICATED and no longer supported. It will be removed in the next MAJOR release.')}var me=this;this.defaultOptions={start:null,end:null,autoResize:true,orientation:{axis:\"bottom\",item:\"bottom\"},moment:moment,width:null,height:null,maxHeight:null,minHeight:null};this.options=util.deepExtend({},this.defaultOptions);this._create(container);if(!options||options&&typeof options.rtl==\"undefined\"){this.dom.root.style.visibility=\"hidden\";var directionFromDom,domNode=this.dom.root;while(!directionFromDom&&domNode){directionFromDom=window.getComputedStyle(domNode,null).direction;domNode=domNode.parentElement}this.options.rtl=directionFromDom&&directionFromDom.toLowerCase()==\"rtl\"}else{this.options.rtl=options.rtl}this.options.rollingMode=options&&options.rollingMode;this.options.onInitialDrawComplete=options&&options.onInitialDrawComplete;this.components=[];this.body={dom:this.dom,domProps:this.props,emitter:{on:this.on.bind(this),off:this.off.bind(this),emit:this.emit.bind(this)},hiddenDates:[],util:{getScale:function getScale(){return me.timeAxis.step.scale},getStep:function getStep(){return me.timeAxis.step.step},toScreen:me._toScreen.bind(me),toGlobalScreen:me._toGlobalScreen.bind(me),toTime:me._toTime.bind(me),toGlobalTime:me._toGlobalTime.bind(me)}};this.range=new Range(this.body,this.options);this.components.push(this.range);this.body.range=this.range;this.timeAxis=new TimeAxis(this.body,this.options);this.timeAxis2=null;this.components.push(this.timeAxis);this.currentTime=new CurrentTime(this.body,this.options);this.components.push(this.currentTime);this.itemSet=new ItemSet(this.body,this.options);this.components.push(this.itemSet);this.itemsData=null;this.groupsData=null;this.dom.root.onclick=function(event){me.emit(\"click\",me.getEventProperties(event))};this.dom.root.ondblclick=function(event){me.emit(\"doubleClick\",me.getEventProperties(event))};this.dom.root.oncontextmenu=function(event){me.emit(\"contextmenu\",me.getEventProperties(event))};this.dom.root.onmouseover=function(event){me.emit(\"mouseOver\",me.getEventProperties(event))};if(window.PointerEvent){this.dom.root.onpointerdown=function(event){me.emit(\"mouseDown\",me.getEventProperties(event))};this.dom.root.onpointermove=function(event){me.emit(\"mouseMove\",me.getEventProperties(event))};this.dom.root.onpointerup=function(event){me.emit(\"mouseUp\",me.getEventProperties(event))}}else{this.dom.root.onmousemove=function(event){me.emit(\"mouseMove\",me.getEventProperties(event))};this.dom.root.onmousedown=function(event){me.emit(\"mouseDown\",me.getEventProperties(event))};this.dom.root.onmouseup=function(event){me.emit(\"mouseUp\",me.getEventProperties(event))}}this.initialFitDone=false;this.on(\"changed\",function(){if(this.itemsData==null||this.options.rollingMode)return;if(!me.initialFitDone){me.initialFitDone=true;if(me.options.start!=undefined||me.options.end!=undefined){if(me.options.start==undefined||me.options.end==undefined){var range=me.getItemRange()}var start=me.options.start!=undefined?me.options.start:range.min;var end=me.options.end!=undefined?me.options.end:range.max;me.setWindow(start,end,{animation:false})}else{me.fit({animation:false})}}if(!me.initialDrawDone&&me.initialRangeChangeDone){me.initialDrawDone=true;me.dom.root.style.visibility=\"visible\";if(me.options.onInitialDrawComplete){setTimeout(function(){return me.options.onInitialDrawComplete()},0)}}});if(options){this.setOptions(options)}if(groups){this.setGroups(groups)}if(items){this.setItems(items)}this._redraw()}Timeline.prototype=new Core;Timeline.prototype._createConfigurator=function(){return new Configurator(this,this.dom.container,configureOptions)};Timeline.prototype.redraw=function(){this.itemSet&&this.itemSet.markDirty({refreshItems:true});this._redraw()};Timeline.prototype.setOptions=function(options){var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}Core.prototype.setOptions.call(this,options);if(\"type\"in options){if(options.type!==this.options.type){this.options.type=options.type;var itemsData=this.itemsData;if(itemsData){var selection=this.getSelection();this.setItems(null);this.setItems(itemsData);this.setSelection(selection)}}}};Timeline.prototype.setItems=function(items){var newDataSet;if(!items){newDataSet=null}else if(items instanceof DataSet||items instanceof DataView){newDataSet=items}else{newDataSet=new DataSet(items,{type:{start:\"Date\",end:\"Date\"}})}this.itemsData=newDataSet;this.itemSet&&this.itemSet.setItems(newDataSet)};Timeline.prototype.setGroups=function(groups){var newDataSet;if(!groups){newDataSet=null}else{var filter=function filter(group){return group.visible!==false};if(groups instanceof DataSet||groups instanceof DataView){newDataSet=new DataView(groups,{filter:filter})}else{newDataSet=new DataSet(groups.filter(filter))}}this.groupsData=newDataSet;this.itemSet.setGroups(newDataSet)};Timeline.prototype.setData=function(data){if(data&&data.groups){this.setGroups(data.groups)}if(data&&data.items){this.setItems(data.items)}};Timeline.prototype.setSelection=function(ids,options){this.itemSet&&this.itemSet.setSelection(ids);if(options&&options.focus){this.focus(ids,options)}};Timeline.prototype.getSelection=function(){return this.itemSet&&this.itemSet.getSelection()||[]};Timeline.prototype.focus=function(id,options){if(!this.itemsData||id==undefined)return;var ids=Array.isArray(id)?id:[id];var itemsData=this.itemsData.getDataSet().get(ids,{type:{start:\"Date\",end:\"Date\"}});var start=null;var end=null;itemsData.forEach(function(itemData){var s=itemData.start.valueOf();var e=\"end\"in itemData?itemData.end.valueOf():itemData.start.valueOf();if(start===null||s<start){start=s}if(end===null||e>end){end=e}});if(start!==null&&end!==null){var me=this;var item=this.itemSet.items[ids[0]];var startPos=this._getScrollTop()*-1;var initialVerticalScroll=null;var verticalAnimationFrame=function verticalAnimationFrame(ease,willDraw,done){var verticalScroll=getItemVerticalScroll(me,item);if(!initialVerticalScroll){initialVerticalScroll=verticalScroll}if(initialVerticalScroll.itemTop==verticalScroll.itemTop&&!initialVerticalScroll.shouldScroll){return}else if(initialVerticalScroll.itemTop!=verticalScroll.itemTop&&verticalScroll.shouldScroll){initialVerticalScroll=verticalScroll;startPos=me._getScrollTop()*-1}var from=startPos;var to=initialVerticalScroll.scrollOffset;var scrollTop=done?to:from+(to-from)*ease;me._setScrollTop(-scrollTop);if(!willDraw){me._redraw()}};var setFinalVerticalPosition=function setFinalVerticalPosition(){var finalVerticalScroll=getItemVerticalScroll(me,item);if(finalVerticalScroll.shouldScroll&&finalVerticalScroll.itemTop!=initialVerticalScroll.itemTop){me._setScrollTop(-finalVerticalScroll.scrollOffset);me._redraw()}};var finalVerticalCallback=function finalVerticalCallback(){setFinalVerticalPosition();setTimeout(setFinalVerticalPosition,100)};var middle=(start+end)/2;var interval=Math.max(this.range.end-this.range.start,(end-start)*1.1);var animation=options&&options.animation!==undefined?options.animation:true;if(!animation){initialVerticalScroll={shouldScroll:false,scrollOffset:-1,itemTop:-1}}this.range.setRange(middle-interval/2,middle+interval/2,{animation:animation},finalVerticalCallback,verticalAnimationFrame)}};Timeline.prototype.fit=function(options,callback){var animation=options&&options.animation!==undefined?options.animation:true;var range;var dataset=this.itemsData&&this.itemsData.getDataSet();if(dataset.length===1&&dataset.get()[0].end===undefined){range=this.getDataRange();this.moveTo(range.min.valueOf(),{animation:animation},callback)}else{range=this.getItemRange();this.range.setRange(range.min,range.max,{animation:animation},callback)}};function getStart(item){return util.convert(item.data.start,\"Date\").valueOf()}function getEnd(item){var end=item.data.end!=undefined?item.data.end:item.data.start;return util.convert(end,\"Date\").valueOf()}function getItemVerticalScroll(timeline,item){var leftHeight=timeline.props.leftContainer.height;var contentHeight=timeline.props.left.height;var group=item.parent;var offset=group.top;var shouldScroll=true;var orientation=timeline.timeAxis.options.orientation.axis;var itemTop=function itemTop(){if(orientation==\"bottom\"){return group.height-item.top-item.height}else{return item.top}};var currentScrollHeight=timeline._getScrollTop()*-1;var targetOffset=offset+itemTop();var height=item.height;if(targetOffset<currentScrollHeight){if(offset+leftHeight<=offset+itemTop()+height){offset+=itemTop()-timeline.itemSet.options.margin.item.vertical}}else if(targetOffset+height>currentScrollHeight+leftHeight){offset+=itemTop()+height-leftHeight+timeline.itemSet.options.margin.item.vertical}else{shouldScroll=false}offset=Math.min(offset,contentHeight-leftHeight);return{shouldScroll:shouldScroll,scrollOffset:offset,itemTop:targetOffset}}Timeline.prototype.getItemRange=function(){var range=this.getDataRange();var min=range.min!==null?range.min.valueOf():null;var max=range.max!==null?range.max.valueOf():null;var minItem=null;var maxItem=null;if(min!=null&&max!=null){var interval=max-min;if(interval<=0){interval=10}var factor=interval/this.props.center.width;var redrawQueue={};var redrawQueueLength=0;util.forEach(this.itemSet.items,function(item,key){if(item.groupShowing){var returnQueue=true;redrawQueue[key]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[key].length}});var needRedraw=redrawQueueLength>0;if(needRedraw){for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns){fns[i]()})}}util.forEach(this.itemSet.items,function(item){var start=getStart(item);var end=getEnd(item);var startSide;var endSide;if(this.options.rtl){startSide=start-(item.getWidthRight()+10)*factor;endSide=end+(item.getWidthLeft()+10)*factor}else{startSide=start-(item.getWidthLeft()+10)*factor;endSide=end+(item.getWidthRight()+10)*factor}if(startSide<min){min=startSide;minItem=item}if(endSide>max){max=endSide;maxItem=item}}.bind(this));if(minItem&&maxItem){var lhs=minItem.getWidthLeft()+10;var rhs=maxItem.getWidthRight()+10;var delta=this.props.center.width-lhs-rhs;if(delta>0){if(this.options.rtl){min=getStart(minItem)-rhs*interval/delta;max=getEnd(maxItem)+lhs*interval/delta}else{min=getStart(minItem)-lhs*interval/delta;max=getEnd(maxItem)+rhs*interval/delta}}}}return{min:min!=null?new Date(min):null,max:max!=null?new Date(max):null}};Timeline.prototype.getDataRange=function(){var min=null;var max=null;var dataset=this.itemsData&&this.itemsData.getDataSet();if(dataset){dataset.forEach(function(item){var start=util.convert(item.start,\"Date\").valueOf();var end=util.convert(item.end!=undefined?item.end:item.start,\"Date\").valueOf();if(min===null||start<min){min=start}if(max===null||end>max){max=end}})}return{min:min!=null?new Date(min):null,max:max!=null?new Date(max):null}};Timeline.prototype.getEventProperties=function(event){var clientX=event.center?event.center.x:event.clientX;var clientY=event.center?event.center.y:event.clientY;var x;if(this.options.rtl){x=util.getAbsoluteRight(this.dom.centerContainer)-clientX}else{x=clientX-util.getAbsoluteLeft(this.dom.centerContainer)}var y=clientY-util.getAbsoluteTop(this.dom.centerContainer);var item=this.itemSet.itemFromTarget(event);var group=this.itemSet.groupFromTarget(event);var customTime=CustomTime.customTimeFromTarget(event);var snap=this.itemSet.options.snap||null;var scale=this.body.util.getScale();var step=this.body.util.getStep();var time=this._toTime(x);var snappedTime=snap?snap(time,scale,step):time;var element=util.getTarget(event);var what=null;if(item!=null){what=\"item\"}else if(customTime!=null){what=\"custom-time\"}else if(util.hasParent(element,this.timeAxis.dom.foreground)){what=\"axis\"}else if(this.timeAxis2&&util.hasParent(element,this.timeAxis2.dom.foreground)){what=\"axis\"}else if(util.hasParent(element,this.itemSet.dom.labelSet)){what=\"group-label\"}else if(util.hasParent(element,this.currentTime.bar)){what=\"current-time\"}else if(util.hasParent(element,this.dom.center)){what=\"background\"}return{event:event,item:item?item.id:null,group:group?group.groupId:null,what:what,pageX:event.srcEvent?event.srcEvent.pageX:event.pageX,pageY:event.srcEvent?event.srcEvent.pageY:event.pageY,x:x,y:y,time:time,snappedTime:snappedTime}};Timeline.prototype.toggleRollingMode=function(){if(this.range.rolling){this.range.stopRolling()}else{if(this.options.rollingMode==undefined){this.setOptions(this.options)}this.range.startRolling()}};module.exports=Timeline},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var util=__webpack_require__(2);var ColorPicker=function(){function ColorPicker(){var pixelRatio=arguments.length>0&&arguments[0]!==undefined?arguments[0]:1;(0,_classCallCheck3[\"default\"])(this,ColorPicker);this.pixelRatio=pixelRatio;this.generated=false;this.centerCoordinates={x:289/2,y:289/2};this.r=289*.49;this.color={r:255,g:255,b:255,a:1};this.hueCircle=undefined;this.initialColor={r:255,g:255,b:255,a:1};this.previousColor=undefined;this.applied=false;this.updateCallback=function(){};this.closeCallback=function(){};this._create()}(0,_createClass3[\"default\"])(ColorPicker,[{key:\"insertTo\",value:function insertTo(container){if(this.hammer!==undefined){this.hammer.destroy();this.hammer=undefined}this.container=container;this.container.appendChild(this.frame);this._bindHammer();this._setSize()}},{key:\"setUpdateCallback\",value:function setUpdateCallback(callback){if(typeof callback===\"function\"){this.updateCallback=callback}else{throw new Error(\"Function attempted to set as colorPicker update callback is not a function.\")}}},{key:\"setCloseCallback\",value:function setCloseCallback(callback){if(typeof callback===\"function\"){this.closeCallback=callback}else{throw new Error(\"Function attempted to set as colorPicker closing callback is not a function.\")}}},{key:\"_isColorString\",value:function _isColorString(color){var htmlColors={black:\"#000000\",navy:\"#000080\",darkblue:\"#00008B\",mediumblue:\"#0000CD\",blue:\"#0000FF\",darkgreen:\"#006400\",green:\"#008000\",teal:\"#008080\",darkcyan:\"#008B8B\",deepskyblue:\"#00BFFF\",darkturquoise:\"#00CED1\",mediumspringgreen:\"#00FA9A\",lime:\"#00FF00\",springgreen:\"#00FF7F\",aqua:\"#00FFFF\",cyan:\"#00FFFF\",midnightblue:\"#191970\",dodgerblue:\"#1E90FF\",lightseagreen:\"#20B2AA\",forestgreen:\"#228B22\",seagreen:\"#2E8B57\",darkslategray:\"#2F4F4F\",limegreen:\"#32CD32\",mediumseagreen:\"#3CB371\",turquoise:\"#40E0D0\",royalblue:\"#4169E1\",steelblue:\"#4682B4\",darkslateblue:\"#483D8B\",mediumturquoise:\"#48D1CC\",indigo:\"#4B0082\",darkolivegreen:\"#556B2F\",cadetblue:\"#5F9EA0\",cornflowerblue:\"#6495ED\",mediumaquamarine:\"#66CDAA\",dimgray:\"#696969\",slateblue:\"#6A5ACD\",olivedrab:\"#6B8E23\",slategray:\"#708090\",lightslategray:\"#778899\",mediumslateblue:\"#7B68EE\",lawngreen:\"#7CFC00\",chartreuse:\"#7FFF00\",aquamarine:\"#7FFFD4\",maroon:\"#800000\",purple:\"#800080\",olive:\"#808000\",gray:\"#808080\",skyblue:\"#87CEEB\",lightskyblue:\"#87CEFA\",blueviolet:\"#8A2BE2\",darkred:\"#8B0000\",darkmagenta:\"#8B008B\",saddlebrown:\"#8B4513\",darkseagreen:\"#8FBC8F\",lightgreen:\"#90EE90\",mediumpurple:\"#9370D8\",darkviolet:\"#9400D3\",palegreen:\"#98FB98\",darkorchid:\"#9932CC\",yellowgreen:\"#9ACD32\",sienna:\"#A0522D\",brown:\"#A52A2A\",darkgray:\"#A9A9A9\",lightblue:\"#ADD8E6\",greenyellow:\"#ADFF2F\",paleturquoise:\"#AFEEEE\",lightsteelblue:\"#B0C4DE\",powderblue:\"#B0E0E6\",firebrick:\"#B22222\",darkgoldenrod:\"#B8860B\",mediumorchid:\"#BA55D3\",rosybrown:\"#BC8F8F\",darkkhaki:\"#BDB76B\",silver:\"#C0C0C0\",mediumvioletred:\"#C71585\",indianred:\"#CD5C5C\",peru:\"#CD853F\",chocolate:\"#D2691E\",tan:\"#D2B48C\",lightgrey:\"#D3D3D3\",palevioletred:\"#D87093\",thistle:\"#D8BFD8\",orchid:\"#DA70D6\",goldenrod:\"#DAA520\",crimson:\"#DC143C\",gainsboro:\"#DCDCDC\",plum:\"#DDA0DD\",burlywood:\"#DEB887\",lightcyan:\"#E0FFFF\",lavender:\"#E6E6FA\",darksalmon:\"#E9967A\",violet:\"#EE82EE\",palegoldenrod:\"#EEE8AA\",lightcoral:\"#F08080\",khaki:\"#F0E68C\",aliceblue:\"#F0F8FF\",honeydew:\"#F0FFF0\",azure:\"#F0FFFF\",sandybrown:\"#F4A460\",wheat:\"#F5DEB3\",beige:\"#F5F5DC\",whitesmoke:\"#F5F5F5\",mintcream:\"#F5FFFA\",ghostwhite:\"#F8F8FF\",salmon:\"#FA8072\",antiquewhite:\"#FAEBD7\",linen:\"#FAF0E6\",lightgoldenrodyellow:\"#FAFAD2\",oldlace:\"#FDF5E6\",red:\"#FF0000\",fuchsia:\"#FF00FF\",magenta:\"#FF00FF\",deeppink:\"#FF1493\",orangered:\"#FF4500\",tomato:\"#FF6347\",hotpink:\"#FF69B4\",coral:\"#FF7F50\",darkorange:\"#FF8C00\",lightsalmon:\"#FFA07A\",orange:\"#FFA500\",lightpink:\"#FFB6C1\",pink:\"#FFC0CB\",gold:\"#FFD700\",peachpuff:\"#FFDAB9\",navajowhite:\"#FFDEAD\",moccasin:\"#FFE4B5\",bisque:\"#FFE4C4\",mistyrose:\"#FFE4E1\",blanchedalmond:\"#FFEBCD\",papayawhip:\"#FFEFD5\",lavenderblush:\"#FFF0F5\",seashell:\"#FFF5EE\",cornsilk:\"#FFF8DC\",lemonchiffon:\"#FFFACD\",floralwhite:\"#FFFAF0\",snow:\"#FFFAFA\",yellow:\"#FFFF00\",lightyellow:\"#FFFFE0\",ivory:\"#FFFFF0\",white:\"#FFFFFF\"};if(typeof color===\"string\"){return htmlColors[color]}}},{key:\"setColor\",value:function setColor(color){var setInitial=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(color===\"none\"){return}var rgba=void 0;var htmlColor=this._isColorString(color);if(htmlColor!==undefined){color=htmlColor}if(util.isString(color)===true){if(util.isValidRGB(color)===true){var rgbaArray=color.substr(4).substr(0,color.length-5).split(\",\");rgba={r:rgbaArray[0],g:rgbaArray[1],b:rgbaArray[2],a:1}}else if(util.isValidRGBA(color)===true){var _rgbaArray=color.substr(5).substr(0,color.length-6).split(\",\");rgba={r:_rgbaArray[0],g:_rgbaArray[1],b:_rgbaArray[2],a:_rgbaArray[3]}}else if(util.isValidHex(color)===true){var rgbObj=util.hexToRGB(color);rgba={r:rgbObj.r,g:rgbObj.g,b:rgbObj.b,a:1}}}else{if(color instanceof Object){if(color.r!==undefined&&color.g!==undefined&&color.b!==undefined){var alpha=color.a!==undefined?color.a:\"1.0\";rgba={r:color.r,g:color.g,b:color.b,a:alpha}}}}if(rgba===undefined){throw new Error(\"Unknown color passed to the colorPicker. Supported are strings: rgb, hex, rgba. Object: rgb ({r:r,g:g,b:b,[a:a]}). Supplied: \"+(0,_stringify2[\"default\"])(color))}else{this._setColor(rgba,setInitial)}}},{key:\"show\",value:function show(){if(this.closeCallback!==undefined){this.closeCallback();this.closeCallback=undefined}this.applied=false;this.frame.style.display=\"block\";this._generateHueCircle()}},{key:\"_hide\",value:function _hide(){var _this=this;var storePrevious=arguments.length>0&&arguments[0]!==undefined?arguments[0]:true;if(storePrevious===true){this.previousColor=util.extend({},this.color)}if(this.applied===true){this.updateCallback(this.initialColor)}this.frame.style.display=\"none\";setTimeout(function(){if(_this.closeCallback!==undefined){_this.closeCallback();_this.closeCallback=undefined}},0)}},{key:\"_save\",value:function _save(){this.updateCallback(this.color);this.applied=false;this._hide()}},{key:\"_apply\",value:function _apply(){this.applied=true;this.updateCallback(this.color);this._updatePicker(this.color)}},{key:\"_loadLast\",value:function _loadLast(){if(this.previousColor!==undefined){this.setColor(this.previousColor,false)}else{alert(\"There is no last color to load...\")}}},{key:\"_setColor\",value:function _setColor(rgba){var setInitial=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(setInitial===true){this.initialColor=util.extend({},rgba)}this.color=rgba;var hsv=util.RGBToHSV(rgba.r,rgba.g,rgba.b);var angleConvert=2*Math.PI;var radius=this.r*hsv.s;var x=this.centerCoordinates.x+radius*Math.sin(angleConvert*hsv.h);var y=this.centerCoordinates.y+radius*Math.cos(angleConvert*hsv.h);this.colorPickerSelector.style.left=x-.5*this.colorPickerSelector.clientWidth+\"px\";this.colorPickerSelector.style.top=y-.5*this.colorPickerSelector.clientHeight+\"px\";this._updatePicker(rgba)}},{key:\"_setOpacity\",value:function _setOpacity(value){this.color.a=value/100;this._updatePicker(this.color)}},{key:\"_setBrightness\",value:function _setBrightness(value){var hsv=util.RGBToHSV(this.color.r,this.color.g,this.color.b);hsv.v=value/100;var rgba=util.HSVToRGB(hsv.h,hsv.s,hsv.v);rgba[\"a\"]=this.color.a;this.color=rgba;this._updatePicker()}},{key:\"_updatePicker\",value:function _updatePicker(){var rgba=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.color;var hsv=util.RGBToHSV(rgba.r,rgba.g,rgba.b);var ctx=this.colorPickerCanvas.getContext(\"2d\");if(this.pixelRation===undefined){this.pixelRatio=(window.devicePixelRatio||1)/(ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1)}ctx.setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0);var w=this.colorPickerCanvas.clientWidth;var h=this.colorPickerCanvas.clientHeight;ctx.clearRect(0,0,w,h);ctx.putImageData(this.hueCircle,0,0);ctx.fillStyle=\"rgba(0,0,0,\"+(1-hsv.v)+\")\";ctx.circle(this.centerCoordinates.x,this.centerCoordinates.y,this.r);ctx.fill();this.brightnessRange.value=100*hsv.v;this.opacityRange.value=100*rgba.a;this.initialColorDiv.style.backgroundColor=\"rgba(\"+this.initialColor.r+\",\"+this.initialColor.g+\",\"+this.initialColor.b+\",\"+this.initialColor.a+\")\";this.newColorDiv.style.backgroundColor=\"rgba(\"+this.color.r+\",\"+this.color.g+\",\"+this.color.b+\",\"+this.color.a+\")\"}},{key:\"_setSize\",value:function _setSize(){this.colorPickerCanvas.style.width=\"100%\";this.colorPickerCanvas.style.height=\"100%\";this.colorPickerCanvas.width=289*this.pixelRatio;this.colorPickerCanvas.height=289*this.pixelRatio}},{key:\"_create\",value:function _create(){this.frame=document.createElement(\"div\");this.frame.className=\"vis-color-picker\";this.colorPickerDiv=document.createElement(\"div\");this.colorPickerSelector=document.createElement(\"div\");this.colorPickerSelector.className=\"vis-selector\";this.colorPickerDiv.appendChild(this.colorPickerSelector);this.colorPickerCanvas=document.createElement(\"canvas\");this.colorPickerDiv.appendChild(this.colorPickerCanvas);if(!this.colorPickerCanvas.getContext){var noCanvas=document.createElement(\"DIV\");noCanvas.style.color=\"red\";noCanvas.style.fontWeight=\"bold\";noCanvas.style.padding=\"10px\";noCanvas.innerHTML=\"Error: your browser does not support HTML canvas\";this.colorPickerCanvas.appendChild(noCanvas)}else{var ctx=this.colorPickerCanvas.getContext(\"2d\");this.pixelRatio=(window.devicePixelRatio||1)/(ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1);this.colorPickerCanvas.getContext(\"2d\").setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0)}this.colorPickerDiv.className=\"vis-color\";this.opacityDiv=document.createElement(\"div\");this.opacityDiv.className=\"vis-opacity\";this.brightnessDiv=document.createElement(\"div\");this.brightnessDiv.className=\"vis-brightness\";this.arrowDiv=document.createElement(\"div\");this.arrowDiv.className=\"vis-arrow\";this.opacityRange=document.createElement(\"input\");try{this.opacityRange.type=\"range\";this.opacityRange.min=\"0\";this.opacityRange.max=\"100\"}catch(err){}this.opacityRange.value=\"100\";this.opacityRange.className=\"vis-range\";this.brightnessRange=document.createElement(\"input\");try{this.brightnessRange.type=\"range\";this.brightnessRange.min=\"0\";this.brightnessRange.max=\"100\"}catch(err){}this.brightnessRange.value=\"100\";this.brightnessRange.className=\"vis-range\";this.opacityDiv.appendChild(this.opacityRange);this.brightnessDiv.appendChild(this.brightnessRange);var me=this;this.opacityRange.onchange=function(){me._setOpacity(this.value)};this.opacityRange.oninput=function(){me._setOpacity(this.value)};this.brightnessRange.onchange=function(){me._setBrightness(this.value)};this.brightnessRange.oninput=function(){me._setBrightness(this.value)};this.brightnessLabel=document.createElement(\"div\");this.brightnessLabel.className=\"vis-label vis-brightness\";this.brightnessLabel.innerHTML=\"brightness:\";this.opacityLabel=document.createElement(\"div\");this.opacityLabel.className=\"vis-label vis-opacity\";this.opacityLabel.innerHTML=\"opacity:\";this.newColorDiv=document.createElement(\"div\");this.newColorDiv.className=\"vis-new-color\";this.newColorDiv.innerHTML=\"new\";this.initialColorDiv=document.createElement(\"div\");this.initialColorDiv.className=\"vis-initial-color\";this.initialColorDiv.innerHTML=\"initial\";this.cancelButton=document.createElement(\"div\");this.cancelButton.className=\"vis-button vis-cancel\";this.cancelButton.innerHTML=\"cancel\";this.cancelButton.onclick=this._hide.bind(this,false);this.applyButton=document.createElement(\"div\");this.applyButton.className=\"vis-button vis-apply\";this.applyButton.innerHTML=\"apply\";this.applyButton.onclick=this._apply.bind(this);this.saveButton=document.createElement(\"div\");this.saveButton.className=\"vis-button vis-save\";this.saveButton.innerHTML=\"save\";this.saveButton.onclick=this._save.bind(this);this.loadButton=document.createElement(\"div\");this.loadButton.className=\"vis-button vis-load\";this.loadButton.innerHTML=\"load last\";this.loadButton.onclick=this._loadLast.bind(this)\n;this.frame.appendChild(this.colorPickerDiv);this.frame.appendChild(this.arrowDiv);this.frame.appendChild(this.brightnessLabel);this.frame.appendChild(this.brightnessDiv);this.frame.appendChild(this.opacityLabel);this.frame.appendChild(this.opacityDiv);this.frame.appendChild(this.newColorDiv);this.frame.appendChild(this.initialColorDiv);this.frame.appendChild(this.cancelButton);this.frame.appendChild(this.applyButton);this.frame.appendChild(this.saveButton);this.frame.appendChild(this.loadButton)}},{key:\"_bindHammer\",value:function _bindHammer(){var _this2=this;this.drag={};this.pinch={};this.hammer=new Hammer(this.colorPickerCanvas);this.hammer.get(\"pinch\").set({enable:true});hammerUtil.onTouch(this.hammer,function(event){_this2._moveSelector(event)});this.hammer.on(\"tap\",function(event){_this2._moveSelector(event)});this.hammer.on(\"panstart\",function(event){_this2._moveSelector(event)});this.hammer.on(\"panmove\",function(event){_this2._moveSelector(event)});this.hammer.on(\"panend\",function(event){_this2._moveSelector(event)})}},{key:\"_generateHueCircle\",value:function _generateHueCircle(){if(this.generated===false){var ctx=this.colorPickerCanvas.getContext(\"2d\");if(this.pixelRation===undefined){this.pixelRatio=(window.devicePixelRatio||1)/(ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1)}ctx.setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0);var w=this.colorPickerCanvas.clientWidth;var h=this.colorPickerCanvas.clientHeight;ctx.clearRect(0,0,w,h);var x=void 0,y=void 0,hue=void 0,sat=void 0;this.centerCoordinates={x:w*.5,y:h*.5};this.r=.49*w;var angleConvert=2*Math.PI/360;var hfac=1/360;var sfac=1/this.r;var rgb=void 0;for(hue=0;hue<360;hue++){for(sat=0;sat<this.r;sat++){x=this.centerCoordinates.x+sat*Math.sin(angleConvert*hue);y=this.centerCoordinates.y+sat*Math.cos(angleConvert*hue);rgb=util.HSVToRGB(hue*hfac,sat*sfac,1);ctx.fillStyle=\"rgb(\"+rgb.r+\",\"+rgb.g+\",\"+rgb.b+\")\";ctx.fillRect(x-.5,y-.5,2,2)}}ctx.strokeStyle=\"rgba(0,0,0,1)\";ctx.circle(this.centerCoordinates.x,this.centerCoordinates.y,this.r);ctx.stroke();this.hueCircle=ctx.getImageData(0,0,w,h)}this.generated=true}},{key:\"_moveSelector\",value:function _moveSelector(event){var rect=this.colorPickerDiv.getBoundingClientRect();var left=event.center.x-rect.left;var top=event.center.y-rect.top;var centerY=.5*this.colorPickerDiv.clientHeight;var centerX=.5*this.colorPickerDiv.clientWidth;var x=left-centerX;var y=top-centerY;var angle=Math.atan2(x,y);var radius=.98*Math.min(Math.sqrt(x*x+y*y),centerX);var newTop=Math.cos(angle)*radius+centerY;var newLeft=Math.sin(angle)*radius+centerX;this.colorPickerSelector.style.top=newTop-.5*this.colorPickerSelector.clientHeight+\"px\";this.colorPickerSelector.style.left=newLeft-.5*this.colorPickerSelector.clientWidth+\"px\";var h=angle/(2*Math.PI);h=h<0?h+1:h;var s=radius/this.r;var hsv=util.RGBToHSV(this.color.r,this.color.g,this.color.b);hsv.h=h;hsv.s=s;var rgba=util.HSVToRGB(hsv.h,hsv.s,hsv.v);rgba[\"a\"]=this.color.a;this.color=rgba;this.initialColorDiv.style.backgroundColor=\"rgba(\"+this.initialColor.r+\",\"+this.initialColor.g+\",\"+this.initialColor.b+\",\"+this.initialColor.a+\")\";this.newColorDiv.style.backgroundColor=\"rgba(\"+this.color.r+\",\"+this.color.g+\",\"+this.color.b+\",\"+this.color.a+\")\"}}]);return ColorPicker}();exports[\"default\"]=ColorPicker},function(module,exports,__webpack_require__){\"use strict\";var moment=__webpack_require__(9);var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Range=__webpack_require__(64);var Core=__webpack_require__(65);var TimeAxis=__webpack_require__(45);var CurrentTime=__webpack_require__(67);var CustomTime=__webpack_require__(46);var LineGraph=__webpack_require__(106);var printStyle=__webpack_require__(15).printStyle;var allOptions=__webpack_require__(113).allOptions;var configureOptions=__webpack_require__(113).configureOptions;var Configurator=__webpack_require__(71)[\"default\"];var Validator=__webpack_require__(15)[\"default\"];function Graph2d(container,items,groups,options){if(!(Array.isArray(groups)||groups instanceof DataSet||groups instanceof DataView)&&groups instanceof Object){var forthArgument=options;options=groups;groups=forthArgument}if(options&&options.throttleRedraw){console.warn('Graph2d option \"throttleRedraw\" is DEPRICATED and no longer supported. It will be removed in the next MAJOR release.')}var me=this;this.defaultOptions={start:null,end:null,autoResize:true,orientation:{axis:\"bottom\",item:\"bottom\"},moment:moment,width:null,height:null,maxHeight:null,minHeight:null};this.options=util.deepExtend({},this.defaultOptions);this._create(container);this.components=[];this.body={dom:this.dom,domProps:this.props,emitter:{on:this.on.bind(this),off:this.off.bind(this),emit:this.emit.bind(this)},hiddenDates:[],util:{toScreen:me._toScreen.bind(me),toGlobalScreen:me._toGlobalScreen.bind(me),toTime:me._toTime.bind(me),toGlobalTime:me._toGlobalTime.bind(me)}};this.range=new Range(this.body);this.components.push(this.range);this.body.range=this.range;this.timeAxis=new TimeAxis(this.body);this.components.push(this.timeAxis);this.currentTime=new CurrentTime(this.body);this.components.push(this.currentTime);this.linegraph=new LineGraph(this.body);this.components.push(this.linegraph);this.itemsData=null;this.groupsData=null;this.on(\"tap\",function(event){me.emit(\"click\",me.getEventProperties(event))});this.on(\"doubletap\",function(event){me.emit(\"doubleClick\",me.getEventProperties(event))});this.dom.root.oncontextmenu=function(event){me.emit(\"contextmenu\",me.getEventProperties(event))};if(options){this.setOptions(options)}if(groups){this.setGroups(groups)}if(items){this.setItems(items)}this._redraw()}Graph2d.prototype=new Core;Graph2d.prototype.setOptions=function(options){var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}Core.prototype.setOptions.call(this,options)};Graph2d.prototype.setItems=function(items){var initialLoad=this.itemsData==null;var newDataSet;if(!items){newDataSet=null}else if(items instanceof DataSet||items instanceof DataView){newDataSet=items}else{newDataSet=new DataSet(items,{type:{start:\"Date\",end:\"Date\"}})}this.itemsData=newDataSet;this.linegraph&&this.linegraph.setItems(newDataSet);if(initialLoad){if(this.options.start!=undefined||this.options.end!=undefined){var start=this.options.start!=undefined?this.options.start:null;var end=this.options.end!=undefined?this.options.end:null;this.setWindow(start,end,{animation:false})}else{this.fit({animation:false})}}};Graph2d.prototype.setGroups=function(groups){var newDataSet;if(!groups){newDataSet=null}else if(groups instanceof DataSet||groups instanceof DataView){newDataSet=groups}else{newDataSet=new DataSet(groups)}this.groupsData=newDataSet;this.linegraph.setGroups(newDataSet)};Graph2d.prototype.getLegend=function(groupId,width,height){if(width===undefined){width=15}if(height===undefined){height=15}if(this.linegraph.groups[groupId]!==undefined){return this.linegraph.groups[groupId].getLegend(width,height)}else{return\"cannot find group:'\"+groupId+\"'\"}};Graph2d.prototype.isGroupVisible=function(groupId){if(this.linegraph.groups[groupId]!==undefined){return this.linegraph.groups[groupId].visible&&(this.linegraph.options.groups.visibility[groupId]===undefined||this.linegraph.options.groups.visibility[groupId]==true)}else{return false}};Graph2d.prototype.getDataRange=function(){var min=null;var max=null;for(var groupId in this.linegraph.groups){if(this.linegraph.groups.hasOwnProperty(groupId)){if(this.linegraph.groups[groupId].visible==true){for(var i=0;i<this.linegraph.groups[groupId].itemsData.length;i++){var item=this.linegraph.groups[groupId].itemsData[i];var value=util.convert(item.x,\"Date\").valueOf();min=min==null?value:min>value?value:min;max=max==null?value:max<value?value:max}}}}return{min:min!=null?new Date(min):null,max:max!=null?new Date(max):null}};Graph2d.prototype.getEventProperties=function(event){var clientX=event.center?event.center.x:event.clientX;var clientY=event.center?event.center.y:event.clientY;var x=clientX-util.getAbsoluteLeft(this.dom.centerContainer);var y=clientY-util.getAbsoluteTop(this.dom.centerContainer);var time=this._toTime(x);var customTime=CustomTime.customTimeFromTarget(event);var element=util.getTarget(event);var what=null;if(util.hasParent(element,this.timeAxis.dom.foreground)){what=\"axis\"}else if(this.timeAxis2&&util.hasParent(element,this.timeAxis2.dom.foreground)){what=\"axis\"}else if(util.hasParent(element,this.linegraph.yAxisLeft.dom.frame)){what=\"data-axis\"}else if(util.hasParent(element,this.linegraph.yAxisRight.dom.frame)){what=\"data-axis\"}else if(util.hasParent(element,this.linegraph.legendLeft.dom.frame)){what=\"legend\"}else if(util.hasParent(element,this.linegraph.legendRight.dom.frame)){what=\"legend\"}else if(customTime!=null){what=\"custom-time\"}else if(util.hasParent(element,this.currentTime.bar)){what=\"current-time\"}else if(util.hasParent(element,this.dom.center)){what=\"background\"}var value=[];var yAxisLeft=this.linegraph.yAxisLeft;var yAxisRight=this.linegraph.yAxisRight;if(!yAxisLeft.hidden&&this.itemsData.length>0){value.push(yAxisLeft.screenToValue(y))}if(!yAxisRight.hidden&&this.itemsData.length>0){value.push(yAxisRight.screenToValue(y))}return{event:event,what:what,pageX:event.srcEvent?event.srcEvent.pageX:event.pageX,pageY:event.srcEvent?event.srcEvent.pageY:event.pageY,x:x,y:y,time:time,value:value}};Graph2d.prototype._createConfigurator=function(){return new Configurator(this,this.dom.container,configureOptions)};module.exports=Graph2d},function(module,exports,__webpack_require__){\"use strict\";exports.util=__webpack_require__(2);exports.DOMutil=__webpack_require__(14);exports.DataSet=__webpack_require__(11);exports.DataView=__webpack_require__(12);exports.Queue=__webpack_require__(43);exports.Network=__webpack_require__(182);exports.network={Images:__webpack_require__(116),dotparser:__webpack_require__(114),gephiParser:__webpack_require__(115),allOptions:__webpack_require__(122)};exports.network.convertDot=function(input){return exports.network.dotparser.DOTToGraph(input)};exports.network.convertGephi=function(input,options){return exports.network.gephiParser.parseGephi(input,options)};exports.moment=__webpack_require__(9);exports.Hammer=__webpack_require__(10);exports.keycharm=__webpack_require__(35)},function(module,exports,__webpack_require__){\"use strict\";__webpack_require__(183);var Emitter=__webpack_require__(44);var util=__webpack_require__(2);var dotparser=__webpack_require__(114);var gephiParser=__webpack_require__(115);var Activator=__webpack_require__(97);var locales=__webpack_require__(184);var Images=__webpack_require__(116)[\"default\"];var Groups=__webpack_require__(186)[\"default\"];var NodesHandler=__webpack_require__(187)[\"default\"];var EdgesHandler=__webpack_require__(214)[\"default\"];var PhysicsEngine=__webpack_require__(220)[\"default\"];var ClusterEngine=__webpack_require__(227)[\"default\"];var CanvasRenderer=__webpack_require__(229)[\"default\"];var Canvas=__webpack_require__(230)[\"default\"];var View=__webpack_require__(231)[\"default\"];var InteractionHandler=__webpack_require__(232)[\"default\"];var SelectionHandler=__webpack_require__(234)[\"default\"];var LayoutEngine=__webpack_require__(235)[\"default\"];var ManipulationSystem=__webpack_require__(237)[\"default\"];var Configurator=__webpack_require__(71)[\"default\"];var Validator=__webpack_require__(15)[\"default\"];var _require=__webpack_require__(15),printStyle=_require.printStyle;var _require2=__webpack_require__(122),allOptions=_require2.allOptions,configureOptions=_require2.configureOptions;var KamadaKawai=__webpack_require__(238)[\"default\"];function Network(container,data,options){var _this=this;if(!(this instanceof Network)){throw new SyntaxError(\"Constructor must be called with the new operator\")}this.options={};this.defaultOptions={locale:\"en\",locales:locales,clickToUse:false};util.extend(this.options,this.defaultOptions);this.body={container:container,nodes:{},nodeIndices:[],edges:{},edgeIndices:[],emitter:{on:this.on.bind(this),off:this.off.bind(this),emit:this.emit.bind(this),once:this.once.bind(this)},eventListeners:{onTap:function onTap(){},onTouch:function onTouch(){},onDoubleTap:function onDoubleTap(){},onHold:function onHold(){},onDragStart:function onDragStart(){},onDrag:function onDrag(){},onDragEnd:function onDragEnd(){},onMouseWheel:function onMouseWheel(){},onPinch:function onPinch(){},onMouseMove:function onMouseMove(){},onRelease:function onRelease(){},onContext:function onContext(){}},data:{nodes:null,edges:null},functions:{createNode:function createNode(){},createEdge:function createEdge(){},getPointer:function getPointer(){}},modules:{},view:{scale:1,translation:{x:0,y:0}}};this.bindEventListeners();this.images=new Images(function(){return _this.body.emitter.emit(\"_requestRedraw\")});this.groups=new Groups;this.canvas=new Canvas(this.body);this.selectionHandler=new SelectionHandler(this.body,this.canvas);this.interactionHandler=new InteractionHandler(this.body,this.canvas,this.selectionHandler);this.view=new View(this.body,this.canvas);this.renderer=new CanvasRenderer(this.body,this.canvas);this.physics=new PhysicsEngine(this.body);this.layoutEngine=new LayoutEngine(this.body);this.clustering=new ClusterEngine(this.body);this.manipulation=new ManipulationSystem(this.body,this.canvas,this.selectionHandler);this.nodesHandler=new NodesHandler(this.body,this.images,this.groups,this.layoutEngine);this.edgesHandler=new EdgesHandler(this.body,this.images,this.groups);this.body.modules[\"kamadaKawai\"]=new KamadaKawai(this.body,150,.05);this.body.modules[\"clustering\"]=this.clustering;this.canvas._create();this.setOptions(options);this.setData(data)}Emitter(Network.prototype);Network.prototype.setOptions=function(options){var _this2=this;if(options!==undefined){var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}var fields=[\"locale\",\"locales\",\"clickToUse\"];util.selectiveDeepExtend(fields,this.options,options);options=this.layoutEngine.setOptions(options.layout,options);this.canvas.setOptions(options);this.groups.setOptions(options.groups);this.nodesHandler.setOptions(options.nodes);this.edgesHandler.setOptions(options.edges);this.physics.setOptions(options.physics);this.manipulation.setOptions(options.manipulation,options,this.options);this.interactionHandler.setOptions(options.interaction);this.renderer.setOptions(options.interaction);this.selectionHandler.setOptions(options.interaction);if(options.groups!==undefined){this.body.emitter.emit(\"refreshNodes\")}if(\"configure\"in options){if(!this.configurator){this.configurator=new Configurator(this,this.body.container,configureOptions,this.canvas.pixelRatio)}this.configurator.setOptions(options.configure)}if(this.configurator&&this.configurator.options.enabled===true){var networkOptions={nodes:{},edges:{},layout:{},interaction:{},manipulation:{},physics:{},global:{}};util.deepExtend(networkOptions.nodes,this.nodesHandler.options);util.deepExtend(networkOptions.edges,this.edgesHandler.options);util.deepExtend(networkOptions.layout,this.layoutEngine.options);util.deepExtend(networkOptions.interaction,this.selectionHandler.options);util.deepExtend(networkOptions.interaction,this.renderer.options);util.deepExtend(networkOptions.interaction,this.interactionHandler.options);util.deepExtend(networkOptions.manipulation,this.manipulation.options);util.deepExtend(networkOptions.physics,this.physics.options);util.deepExtend(networkOptions.global,this.canvas.options);util.deepExtend(networkOptions.global,this.options);this.configurator.setModuleOptions(networkOptions)}if(options.clickToUse!==undefined){if(options.clickToUse===true){if(this.activator===undefined){this.activator=new Activator(this.canvas.frame);this.activator.on(\"change\",function(){_this2.body.emitter.emit(\"activate\")})}}else{if(this.activator!==undefined){this.activator.destroy();delete this.activator}this.body.emitter.emit(\"activate\")}}else{this.body.emitter.emit(\"activate\")}this.canvas.setSize();this.body.emitter.emit(\"startSimulation\")}};Network.prototype._updateVisibleIndices=function(){var nodes=this.body.nodes;var edges=this.body.edges;this.body.nodeIndices=[];this.body.edgeIndices=[];for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){if(!this.clustering._isClusteredNode(nodeId)&&nodes[nodeId].options.hidden===false){this.body.nodeIndices.push(nodes[nodeId].id)}}}for(var edgeId in edges){if(edges.hasOwnProperty(edgeId)){var edge=edges[edgeId];var fromNode=nodes[edge.fromId];var toNode=nodes[edge.toId];var edgeNodesPresent=fromNode!==undefined&&toNode!==undefined;var isVisible=!this.clustering._isClusteredEdge(edgeId)&&edge.options.hidden===false&&edgeNodesPresent&&fromNode.options.hidden===false&&toNode.options.hidden===false;if(isVisible){this.body.edgeIndices.push(edge.id)}}}};Network.prototype.bindEventListeners=function(){var _this3=this;this.body.emitter.on(\"_dataChanged\",function(){_this3.edgesHandler._updateState();_this3.body.emitter.emit(\"_dataUpdated\")});this.body.emitter.on(\"_dataUpdated\",function(){_this3.clustering._updateState();_this3._updateVisibleIndices();_this3._updateValueRange(_this3.body.nodes);_this3._updateValueRange(_this3.body.edges);_this3.body.emitter.emit(\"startSimulation\");_this3.body.emitter.emit(\"_requestRedraw\")})};Network.prototype.setData=function(data){this.body.emitter.emit(\"resetPhysics\");this.body.emitter.emit(\"_resetData\");this.selectionHandler.unselectAll();if(data&&data.dot&&(data.nodes||data.edges)){throw new SyntaxError('Data must contain either parameter \"dot\" or '+' parameter pair \"nodes\" and \"edges\", but not both.')}this.setOptions(data&&data.options);if(data&&data.dot){console.log(\"The dot property has been deprecated. Please use the static convertDot method to convert DOT into vis.network format and use the normal data format with nodes and edges. This converter is used like this: var data = vis.network.convertDot(dotString);\");var dotData=dotparser.DOTToGraph(data.dot);this.setData(dotData);return}else if(data&&data.gephi){console.log(\"The gephi property has been deprecated. Please use the static convertGephi method to convert gephi into vis.network format and use the normal data format with nodes and edges. This converter is used like this: var data = vis.network.convertGephi(gephiJson);\");var gephiData=gephiParser.parseGephi(data.gephi);this.setData(gephiData);return}else{this.nodesHandler.setData(data&&data.nodes,true);this.edgesHandler.setData(data&&data.edges,true)}this.body.emitter.emit(\"_dataChanged\");this.body.emitter.emit(\"_dataLoaded\");this.body.emitter.emit(\"initPhysics\")};Network.prototype.destroy=function(){this.body.emitter.emit(\"destroy\");this.body.emitter.off();this.off();delete this.groups;delete this.canvas;delete this.selectionHandler;delete this.interactionHandler;delete this.view;delete this.renderer;delete this.physics;delete this.layoutEngine;delete this.clustering;delete this.manipulation;delete this.nodesHandler;delete this.edgesHandler;delete this.configurator;delete this.images;for(var nodeId in this.body.nodes){if(!this.body.nodes.hasOwnProperty(nodeId))continue;delete this.body.nodes[nodeId]}for(var edgeId in this.body.edges){if(!this.body.edges.hasOwnProperty(edgeId))continue;delete this.body.edges[edgeId]}util.recursiveDOMDelete(this.body.container)};Network.prototype._updateValueRange=function(obj){var id;var valueMin=undefined;var valueMax=undefined;var valueTotal=0;for(id in obj){if(obj.hasOwnProperty(id)){var value=obj[id].getValue();if(value!==undefined){valueMin=valueMin===undefined?value:Math.min(value,valueMin);valueMax=valueMax===undefined?value:Math.max(value,valueMax);valueTotal+=value}}}if(valueMin!==undefined&&valueMax!==undefined){for(id in obj){if(obj.hasOwnProperty(id)){obj[id].setValueRange(valueMin,valueMax,valueTotal)}}}};Network.prototype.isActive=function(){return!this.activator||this.activator.active};Network.prototype.setSize=function(){return this.canvas.setSize.apply(this.canvas,arguments)};Network.prototype.canvasToDOM=function(){return this.canvas.canvasToDOM.apply(this.canvas,arguments)};Network.prototype.DOMtoCanvas=function(){return this.canvas.DOMtoCanvas.apply(this.canvas,arguments)};Network.prototype.findNode=function(){return this.clustering.findNode.apply(this.clustering,arguments)};Network.prototype.isCluster=function(){return this.clustering.isCluster.apply(this.clustering,arguments)};Network.prototype.openCluster=function(){return this.clustering.openCluster.apply(this.clustering,arguments)};Network.prototype.cluster=function(){return this.clustering.cluster.apply(this.clustering,arguments)};Network.prototype.getNodesInCluster=function(){return this.clustering.getNodesInCluster.apply(this.clustering,arguments)};Network.prototype.clusterByConnection=function(){return this.clustering.clusterByConnection.apply(this.clustering,arguments)};Network.prototype.clusterByHubsize=function(){return this.clustering.clusterByHubsize.apply(this.clustering,arguments)};Network.prototype.clusterOutliers=function(){return this.clustering.clusterOutliers.apply(this.clustering,arguments)};Network.prototype.getSeed=function(){return this.layoutEngine.getSeed.apply(this.layoutEngine,arguments)};Network.prototype.enableEditMode=function(){return this.manipulation.enableEditMode.apply(this.manipulation,arguments)};Network.prototype.disableEditMode=function(){return this.manipulation.disableEditMode.apply(this.manipulation,arguments)};Network.prototype.addNodeMode=function(){return this.manipulation.addNodeMode.apply(this.manipulation,arguments)};Network.prototype.editNode=function(){return this.manipulation.editNode.apply(this.manipulation,arguments)};Network.prototype.editNodeMode=function(){console.log(\"Deprecated: Please use editNode instead of editNodeMode.\");return this.manipulation.editNode.apply(this.manipulation,arguments)};Network.prototype.addEdgeMode=function(){return this.manipulation.addEdgeMode.apply(this.manipulation,arguments)};Network.prototype.editEdgeMode=function(){return this.manipulation.editEdgeMode.apply(this.manipulation,arguments)};Network.prototype.deleteSelected=function(){return this.manipulation.deleteSelected.apply(this.manipulation,arguments)};Network.prototype.getPositions=function(){return this.nodesHandler.getPositions.apply(this.nodesHandler,arguments)};Network.prototype.storePositions=function(){return this.nodesHandler.storePositions.apply(this.nodesHandler,arguments)};Network.prototype.moveNode=function(){return this.nodesHandler.moveNode.apply(this.nodesHandler,arguments)};Network.prototype.getBoundingBox=function(){return this.nodesHandler.getBoundingBox.apply(this.nodesHandler,arguments)};Network.prototype.getConnectedNodes=function(objectId){if(this.body.nodes[objectId]!==undefined){return this.nodesHandler.getConnectedNodes.apply(this.nodesHandler,arguments)}else{return this.edgesHandler.getConnectedNodes.apply(this.edgesHandler,arguments)}};Network.prototype.getConnectedEdges=function(){return this.nodesHandler.getConnectedEdges.apply(this.nodesHandler,arguments)};Network.prototype.startSimulation=function(){return this.physics.startSimulation.apply(this.physics,arguments)};Network.prototype.stopSimulation=function(){return this.physics.stopSimulation.apply(this.physics,arguments)};Network.prototype.stabilize=function(){return this.physics.stabilize.apply(this.physics,arguments)};Network.prototype.getSelection=function(){return this.selectionHandler.getSelection.apply(this.selectionHandler,arguments)};Network.prototype.setSelection=function(){return this.selectionHandler.setSelection.apply(this.selectionHandler,arguments)};Network.prototype.getSelectedNodes=function(){return this.selectionHandler.getSelectedNodes.apply(this.selectionHandler,arguments)};Network.prototype.getSelectedEdges=function(){return this.selectionHandler.getSelectedEdges.apply(this.selectionHandler,arguments)};Network.prototype.getNodeAt=function(){var node=this.selectionHandler.getNodeAt.apply(this.selectionHandler,arguments);if(node!==undefined&&node.id!==undefined){return node.id}return node};Network.prototype.getEdgeAt=function(){var edge=this.selectionHandler.getEdgeAt.apply(this.selectionHandler,arguments);if(edge!==undefined&&edge.id!==undefined){return edge.id}return edge};Network.prototype.selectNodes=function(){return this.selectionHandler.selectNodes.apply(this.selectionHandler,arguments)};Network.prototype.selectEdges=function(){return this.selectionHandler.selectEdges.apply(this.selectionHandler,arguments)};Network.prototype.unselectAll=function(){this.selectionHandler.unselectAll.apply(this.selectionHandler,arguments);this.redraw()};Network.prototype.redraw=function(){return this.renderer.redraw.apply(this.renderer,arguments)};Network.prototype.getScale=function(){return this.view.getScale.apply(this.view,arguments)};Network.prototype.getViewPosition=function(){return this.view.getViewPosition.apply(this.view,arguments)};Network.prototype.fit=function(){return this.view.fit.apply(this.view,arguments)};Network.prototype.moveTo=function(){return this.view.moveTo.apply(this.view,arguments)};Network.prototype.focus=function(){return this.view.focus.apply(this.view,arguments)};Network.prototype.releaseNode=function(){return this.view.releaseNode.apply(this.view,arguments)};Network.prototype.getOptionsFromConfigurator=function(){var options={};if(this.configurator){options=this.configurator.getOptions.apply(this.configurator)}return options};module.exports=Network},function(module,exports,__webpack_require__){\"use strict\";if(typeof CanvasRenderingContext2D!==\"undefined\"){CanvasRenderingContext2D.prototype.circle=function(x,y,r){this.beginPath();this.arc(x,y,r,0,2*Math.PI,false);this.closePath()};CanvasRenderingContext2D.prototype.square=function(x,y,r){this.beginPath();this.rect(x-r,y-r,r*2,r*2);this.closePath()};CanvasRenderingContext2D.prototype.triangle=function(x,y,r){this.beginPath();r*=1.15;y+=.275*r;var s=r*2;var s2=s/2;var ir=Math.sqrt(3)/6*s;var h=Math.sqrt(s*s-s2*s2);this.moveTo(x,y-(h-ir));this.lineTo(x+s2,y+ir);this.lineTo(x-s2,y+ir);this.lineTo(x,y-(h-ir));this.closePath()};CanvasRenderingContext2D.prototype.triangleDown=function(x,y,r){this.beginPath();r*=1.15;y-=.275*r;var s=r*2;var s2=s/2;var ir=Math.sqrt(3)/6*s;var h=Math.sqrt(s*s-s2*s2);this.moveTo(x,y+(h-ir));this.lineTo(x+s2,y-ir);this.lineTo(x-s2,y-ir);this.lineTo(x,y+(h-ir));this.closePath()};CanvasRenderingContext2D.prototype.star=function(x,y,r){this.beginPath();r*=.82;y+=.1*r;for(var n=0;n<10;n++){var radius=n%2===0?r*1.3:r*.5;this.lineTo(x+radius*Math.sin(n*2*Math.PI/10),y-radius*Math.cos(n*2*Math.PI/10))}this.closePath()};CanvasRenderingContext2D.prototype.diamond=function(x,y,r){this.beginPath();this.lineTo(x,y+r);this.lineTo(x+r,y);this.lineTo(x,y-r);this.lineTo(x-r,y);this.closePath()};CanvasRenderingContext2D.prototype.roundRect=function(x,y,w,h,r){var r2d=Math.PI/180;if(w-2*r<0){r=w/2}if(h-2*r<0){r=h/2}this.beginPath();this.moveTo(x+r,y);this.lineTo(x+w-r,y);this.arc(x+w-r,y+r,r,r2d*270,r2d*360,false);this.lineTo(x+w,y+h-r);this.arc(x+w-r,y+h-r,r,0,r2d*90,false);this.lineTo(x+r,y+h);this.arc(x+r,y+h-r,r,r2d*90,r2d*180,false);this.lineTo(x,y+r);this.arc(x+r,y+r,r,r2d*180,r2d*270,false);this.closePath()};CanvasRenderingContext2D.prototype.ellipse_vis=function(x,y,w,h){var kappa=.5522848,ox=w/2*kappa,oy=h/2*kappa,xe=x+w,ye=y+h,xm=x+w/2,ym=y+h/2;this.beginPath();this.moveTo(x,ym);this.bezierCurveTo(x,ym-oy,xm-ox,y,xm,y);this.bezierCurveTo(xm+ox,y,xe,ym-oy,xe,ym);this.bezierCurveTo(xe,ym+oy,xm+ox,ye,xm,ye);this.bezierCurveTo(xm-ox,ye,x,ym+oy,x,ym);this.closePath()};CanvasRenderingContext2D.prototype.database=function(x,y,w,h){var f=1/3;var wEllipse=w;var hEllipse=h*f;var kappa=.5522848,ox=wEllipse/2*kappa,oy=hEllipse/2*kappa,xe=x+wEllipse,ye=y+hEllipse,xm=x+wEllipse/2,ym=y+hEllipse/2,ymb=y+(h-hEllipse/2),yeb=y+h;this.beginPath();this.moveTo(xe,ym);this.bezierCurveTo(xe,ym+oy,xm+ox,ye,xm,ye);this.bezierCurveTo(xm-ox,ye,x,ym+oy,x,ym);this.bezierCurveTo(x,ym-oy,xm-ox,y,xm,y);this.bezierCurveTo(xm+ox,y,xe,ym-oy,xe,ym);this.lineTo(xe,ymb);this.bezierCurveTo(xe,ymb+oy,xm+ox,yeb,xm,yeb);this.bezierCurveTo(xm-ox,yeb,x,ymb+oy,x,ymb);this.lineTo(x,ym)};CanvasRenderingContext2D.prototype.dashedLine=function(x,y,x2,y2,pattern){this.beginPath();this.moveTo(x,y);var patternLength=pattern.length;var dx=x2-x;var dy=y2-y;var slope=dy/dx;var distRemaining=Math.sqrt(dx*dx+dy*dy);var patternIndex=0;var draw=true;var xStep=0;var dashLength=pattern[0];while(distRemaining>=.1){dashLength=pattern[patternIndex++%patternLength];if(dashLength>distRemaining){dashLength=distRemaining}xStep=Math.sqrt(dashLength*dashLength/(1+slope*slope));xStep=dx<0?-xStep:xStep;x+=xStep;y+=slope*xStep;if(draw===true){this.lineTo(x,y)}else{this.moveTo(x,y)}distRemaining-=dashLength;draw=!draw}};CanvasRenderingContext2D.prototype.hexagon=function(x,y,r){this.beginPath();var sides=6;var a=Math.PI*2/sides;this.moveTo(x+r,y);for(var i=1;i<sides;i++){this.lineTo(x+r*Math.cos(a*i),y+r*Math.sin(a*i))}this.closePath()}}},function(module,exports,__webpack_require__){\"use strict\";exports[\"en\"]={edit:\"Edit\",del:\"Delete selected\",back:\"Back\",addNode:\"Add Node\",addEdge:\"Add Edge\",editNode:\"Edit Node\",editEdge:\"Edit Edge\",addDescription:\"Click in an empty space to place a new node.\",edgeDescription:\"Click on a node and drag the edge to another node to connect them.\",editEdgeDescription:\"Click on the control points and drag them to a node to connect to it.\",createEdgeError:\"Cannot link edges to a cluster.\",deleteClusterError:\"Clusters cannot be deleted.\",editClusterError:\"Clusters cannot be edited.\"};exports[\"en_EN\"]=exports[\"en\"];exports[\"en_US\"]=exports[\"en\"];exports[\"de\"]={edit:\"Editieren\",del:\"Lösche Auswahl\",back:\"Zurück\",addNode:\"Knoten hinzufügen\",addEdge:\"Kante hinzufügen\",editNode:\"Knoten editieren\",editEdge:\"Kante editieren\",addDescription:\"Klicke auf eine freie Stelle, um einen neuen Knoten zu plazieren.\",edgeDescription:\"Klicke auf einen Knoten und ziehe die Kante zu einem anderen Knoten, um diese zu verbinden.\",editEdgeDescription:\"Klicke auf die Verbindungspunkte und ziehe diese auf einen Knoten, um sie zu verbinden.\",createEdgeError:\"Es ist nicht möglich, Kanten mit Clustern zu verbinden.\",deleteClusterError:\"Cluster können nicht gelöscht werden.\",editClusterError:\"Cluster können nicht editiert werden.\"};exports[\"de_DE\"]=exports[\"de\"];exports[\"es\"]={edit:\"Editar\",del:\"Eliminar selección\",back:\"Átras\",addNode:\"Añadir nodo\",addEdge:\"Añadir arista\",editNode:\"Editar nodo\",editEdge:\"Editar arista\",addDescription:\"Haga clic en un lugar vacío para colocar un nuevo nodo.\",edgeDescription:\"Haga clic en un nodo y arrastre la arista hacia otro nodo para conectarlos.\",editEdgeDescription:\"Haga clic en un punto de control y arrastrelo a un nodo para conectarlo.\",createEdgeError:\"No se puede conectar una arista a un grupo.\",deleteClusterError:\"No es posible eliminar grupos.\",editClusterError:\"No es posible editar grupos.\"};exports[\"es_ES\"]=exports[\"es\"];exports[\"it\"]={edit:\"Modifica\",del:\"Cancella la selezione\",back:\"Indietro\",addNode:\"Aggiungi un nodo\",addEdge:\"Aggiungi un vertice\",editNode:\"Modifica il nodo\",editEdge:\"Modifica il vertice\",addDescription:\"Clicca per aggiungere un nuovo nodo\",edgeDescription:\"Clicca su un nodo e trascinalo ad un altro nodo per connetterli.\",editEdgeDescription:\"Clicca sui Punti di controllo e trascinali ad un nodo per connetterli.\",createEdgeError:\"Non si possono collegare vertici ad un cluster\",deleteClusterError:\"I cluster non possono essere cancellati\",editClusterError:\"I clusters non possono essere modificati.\"};exports[\"it_IT\"]=exports[\"it\"];exports[\"nl\"]={edit:\"Wijzigen\",del:\"Selectie verwijderen\",\nback:\"Terug\",addNode:\"Node toevoegen\",addEdge:\"Link toevoegen\",editNode:\"Node wijzigen\",editEdge:\"Link wijzigen\",addDescription:\"Klik op een leeg gebied om een nieuwe node te maken.\",edgeDescription:\"Klik op een node en sleep de link naar een andere node om ze te verbinden.\",editEdgeDescription:\"Klik op de verbindingspunten en sleep ze naar een node om daarmee te verbinden.\",createEdgeError:\"Kan geen link maken naar een cluster.\",deleteClusterError:\"Clusters kunnen niet worden verwijderd.\",editClusterError:\"Clusters kunnen niet worden aangepast.\"};exports[\"nl_NL\"]=exports[\"nl\"];exports[\"nl_BE\"]=exports[\"nl\"];exports[\"pt-br\"]={edit:\"Editar\",del:\"Remover selecionado\",back:\"Voltar\",addNode:\"Adicionar nó\",addEdge:\"Adicionar aresta\",editNode:\"Editar nó\",editEdge:\"Editar aresta\",addDescription:\"Clique em um espaço em branco para adicionar um novo nó\",edgeDescription:\"Clique em um nó e arraste a aresta até outro nó para conectá-los\",editEdgeDescription:\"Clique nos pontos de controle e os arraste para um nó para conectá-los\",createEdgeError:\"Não foi possível linkar arestas a um cluster.\",deleteClusterError:\"Clusters não puderam ser removidos.\",editClusterError:\"Clusters não puderam ser editados.\"};exports[\"pt-BR\"]=exports[\"pt-br\"];exports[\"pt_BR\"]=exports[\"pt-br\"];exports[\"pt_br\"]=exports[\"pt-br\"];exports[\"ru\"]={edit:\"Редактировать\",del:\"Удалить выбранное\",back:\"Назад\",addNode:\"Добавить узел\",addEdge:\"Добавить ребро\",editNode:\"Редактировать узел\",editEdge:\"Редактировать ребро\",addDescription:\"Кликните в свободное место, чтобы добавить новый узел.\",edgeDescription:\"Кликните на узел и протяните ребро к другому узлу, чтобы соединить их.\",editEdgeDescription:\"Кликните на контрольные точки и перетащите их в узел, чтобы подключиться к нему.\",createEdgeError:\"Невозможно соединить ребра в кластер.\",deleteClusterError:\"Кластеры не могут быть удалены\",editClusterError:\"Кластеры недоступны для редактирования.\"};exports[\"ru_RU\"]=exports[\"ru\"];exports[\"cn\"]={edit:\"编辑\",del:\"删除选定\",back:\"返回\",addNode:\"添加节点\",addEdge:\"添加连接线\",editNode:\"编辑节点\",editEdge:\"编辑连接线\",addDescription:\"单击空白处放置新节点。\",edgeDescription:\"单击某个节点并将该连接线拖动到另一个节点以连接它们。\",editEdgeDescription:\"单击控制节点并将它们拖到节点上连接。\",createEdgeError:\"无法将连接线连接到群集。\",deleteClusterError:\"无法删除群集。\",editClusterError:\"无法编辑群集。\"};exports[\"zh_CN\"]=exports[\"cn\"]},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CachedImage=function(){function CachedImage(){(0,_classCallCheck3[\"default\"])(this,CachedImage);this.NUM_ITERATIONS=4;this.image=new Image;this.canvas=document.createElement(\"canvas\")}(0,_createClass3[\"default\"])(CachedImage,[{key:\"init\",value:function init(){if(this.initialized())return;this.src=this.image.src;var w=this.image.width;var h=this.image.height;this.width=w;this.height=h;var h2=Math.floor(h/2);var h4=Math.floor(h/4);var h8=Math.floor(h/8);var h16=Math.floor(h/16);var w2=Math.floor(w/2);var w4=Math.floor(w/4);var w8=Math.floor(w/8);var w16=Math.floor(w/16);this.canvas.width=3*w4;this.canvas.height=h2;this.coordinates=[[0,0,w2,h2],[w2,0,w4,h4],[w2,h4,w8,h8],[5*w8,h4,w16,h16]];this._fillMipMap()}},{key:\"initialized\",value:function initialized(){return this.coordinates!==undefined}},{key:\"_fillMipMap\",value:function _fillMipMap(){var ctx=this.canvas.getContext(\"2d\");var to=this.coordinates[0];ctx.drawImage(this.image,to[0],to[1],to[2],to[3]);for(var iterations=1;iterations<this.NUM_ITERATIONS;iterations++){var from=this.coordinates[iterations-1];var _to=this.coordinates[iterations];ctx.drawImage(this.canvas,from[0],from[1],from[2],from[3],_to[0],_to[1],_to[2],_to[3])}}},{key:\"drawImageAtPosition\",value:function drawImageAtPosition(ctx,factor,left,top,width,height){if(!this.initialized())return;if(factor>2){factor*=.5;var iterations=0;while(factor>2&&iterations<this.NUM_ITERATIONS){factor*=.5;iterations+=1}if(iterations>=this.NUM_ITERATIONS){iterations=this.NUM_ITERATIONS-1}var from=this.coordinates[iterations];ctx.drawImage(this.canvas,from[0],from[1],from[2],from[3],left,top,width,height)}else{ctx.drawImage(this.image,left,top,width,height)}}}]);return CachedImage}();exports[\"default\"]=CachedImage},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Groups=function(){function Groups(){(0,_classCallCheck3[\"default\"])(this,Groups);this.clear();this.defaultIndex=0;this.groupsArray=[];this.groupIndex=0;this.defaultGroups=[{border:\"#2B7CE9\",background:\"#97C2FC\",highlight:{border:\"#2B7CE9\",background:\"#D2E5FF\"},hover:{border:\"#2B7CE9\",background:\"#D2E5FF\"}},{border:\"#FFA500\",background:\"#FFFF00\",highlight:{border:\"#FFA500\",background:\"#FFFFA3\"},hover:{border:\"#FFA500\",background:\"#FFFFA3\"}},{border:\"#FA0A10\",background:\"#FB7E81\",highlight:{border:\"#FA0A10\",background:\"#FFAFB1\"},hover:{border:\"#FA0A10\",background:\"#FFAFB1\"}},{border:\"#41A906\",background:\"#7BE141\",highlight:{border:\"#41A906\",background:\"#A1EC76\"},hover:{border:\"#41A906\",background:\"#A1EC76\"}},{border:\"#E129F0\",background:\"#EB7DF4\",highlight:{border:\"#E129F0\",background:\"#F0B3F5\"},hover:{border:\"#E129F0\",background:\"#F0B3F5\"}},{border:\"#7C29F0\",background:\"#AD85E4\",highlight:{border:\"#7C29F0\",background:\"#D3BDF0\"},hover:{border:\"#7C29F0\",background:\"#D3BDF0\"}},{border:\"#C37F00\",background:\"#FFA807\",highlight:{border:\"#C37F00\",background:\"#FFCA66\"},hover:{border:\"#C37F00\",background:\"#FFCA66\"}},{border:\"#4220FB\",background:\"#6E6EFD\",highlight:{border:\"#4220FB\",background:\"#9B9BFD\"},hover:{border:\"#4220FB\",background:\"#9B9BFD\"}},{border:\"#FD5A77\",background:\"#FFC0CB\",highlight:{border:\"#FD5A77\",background:\"#FFD1D9\"},hover:{border:\"#FD5A77\",background:\"#FFD1D9\"}},{border:\"#4AD63A\",background:\"#C2FABC\",highlight:{border:\"#4AD63A\",background:\"#E6FFE3\"},hover:{border:\"#4AD63A\",background:\"#E6FFE3\"}},{border:\"#990000\",background:\"#EE0000\",highlight:{border:\"#BB0000\",background:\"#FF3333\"},hover:{border:\"#BB0000\",background:\"#FF3333\"}},{border:\"#FF6000\",background:\"#FF6000\",highlight:{border:\"#FF6000\",background:\"#FF6000\"},hover:{border:\"#FF6000\",background:\"#FF6000\"}},{border:\"#97C2FC\",background:\"#2B7CE9\",highlight:{border:\"#D2E5FF\",background:\"#2B7CE9\"},hover:{border:\"#D2E5FF\",background:\"#2B7CE9\"}},{border:\"#399605\",background:\"#255C03\",highlight:{border:\"#399605\",background:\"#255C03\"},hover:{border:\"#399605\",background:\"#255C03\"}},{border:\"#B70054\",background:\"#FF007E\",highlight:{border:\"#B70054\",background:\"#FF007E\"},hover:{border:\"#B70054\",background:\"#FF007E\"}},{border:\"#AD85E4\",background:\"#7C29F0\",highlight:{border:\"#D3BDF0\",background:\"#7C29F0\"},hover:{border:\"#D3BDF0\",background:\"#7C29F0\"}},{border:\"#4557FA\",background:\"#000EA1\",highlight:{border:\"#6E6EFD\",background:\"#000EA1\"},hover:{border:\"#6E6EFD\",background:\"#000EA1\"}},{border:\"#FFC0CB\",background:\"#FD5A77\",highlight:{border:\"#FFD1D9\",background:\"#FD5A77\"},hover:{border:\"#FFD1D9\",background:\"#FD5A77\"}},{border:\"#C2FABC\",background:\"#74D66A\",highlight:{border:\"#E6FFE3\",background:\"#74D66A\"},hover:{border:\"#E6FFE3\",background:\"#74D66A\"}},{border:\"#EE0000\",background:\"#990000\",highlight:{border:\"#FF3333\",background:\"#BB0000\"},hover:{border:\"#FF3333\",background:\"#BB0000\"}}];this.options={};this.defaultOptions={useDefaultGroups:true};util.extend(this.options,this.defaultOptions)}(0,_createClass3[\"default\"])(Groups,[{key:\"setOptions\",value:function setOptions(options){var optionFields=[\"useDefaultGroups\"];if(options!==undefined){for(var groupName in options){if(options.hasOwnProperty(groupName)){if(optionFields.indexOf(groupName)===-1){var group=options[groupName];this.add(groupName,group)}}}}}},{key:\"clear\",value:function clear(){this.groups={};this.groupsArray=[]}},{key:\"get\",value:function get(groupname){var shouldCreate=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var group=this.groups[groupname];if(group===undefined&&shouldCreate){if(this.options.useDefaultGroups===false&&this.groupsArray.length>0){var index=this.groupIndex%this.groupsArray.length;this.groupIndex++;group={};group.color=this.groups[this.groupsArray[index]];this.groups[groupname]=group}else{var _index=this.defaultIndex%this.defaultGroups.length;this.defaultIndex++;group={};group.color=this.defaultGroups[_index];this.groups[groupname]=group}}return group}},{key:\"add\",value:function add(groupName,style){this.groups[groupName]=style;this.groupsArray.push(groupName);return style}}]);return Groups}();exports[\"default\"]=Groups},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Node=__webpack_require__(47)[\"default\"];var NodesHandler=function(){function NodesHandler(body,images,groups,layoutEngine){var _this=this;(0,_classCallCheck3[\"default\"])(this,NodesHandler);this.body=body;this.images=images;this.groups=groups;this.layoutEngine=layoutEngine;this.body.functions.createNode=this.create.bind(this);this.nodesListeners={add:function add(event,params){_this.add(params.items)},update:function update(event,params){_this.update(params.items,params.data,params.oldData)},remove:function remove(event,params){_this.remove(params.items)}};this.defaultOptions={borderWidth:1,borderWidthSelected:2,brokenImage:undefined,color:{border:\"#2B7CE9\",background:\"#97C2FC\",highlight:{border:\"#2B7CE9\",background:\"#D2E5FF\"},hover:{border:\"#2B7CE9\",background:\"#D2E5FF\"}},fixed:{x:false,y:false},font:{color:\"#343434\",size:14,face:\"arial\",background:\"none\",strokeWidth:0,strokeColor:\"#ffffff\",align:\"center\",vadjust:0,multi:false,bold:{mod:\"bold\"},boldital:{mod:\"bold italic\"},ital:{mod:\"italic\"},mono:{mod:\"\",size:15,face:\"monospace\",vadjust:2}},group:undefined,hidden:false,icon:{face:\"FontAwesome\",code:undefined,size:50,color:\"#2B7CE9\"},image:undefined,label:undefined,labelHighlightBold:true,level:undefined,margin:{top:5,right:5,bottom:5,left:5},mass:1,physics:true,scaling:{min:10,max:30,label:{enabled:false,min:14,max:30,maxVisible:30,drawThreshold:5},customScalingFunction:function customScalingFunction(min,max,total,value){if(max===min){return.5}else{var scale=1/(max-min);return Math.max(0,(value-min)*scale)}}},shadow:{enabled:false,color:\"rgba(0,0,0,0.5)\",size:10,x:5,y:5},shape:\"ellipse\",shapeProperties:{borderDashes:false,borderRadius:6,interpolation:true,useImageSize:false,useBorderWithImage:false},size:25,title:undefined,value:undefined,x:undefined,y:undefined};if(this.defaultOptions.mass<=0){throw\"Internal error: mass in defaultOptions of NodesHandler may not be zero or negative\"}this.options=util.bridgeObject(this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(NodesHandler,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this2=this;this.body.emitter.on(\"refreshNodes\",this.refresh.bind(this));this.body.emitter.on(\"refresh\",this.refresh.bind(this));this.body.emitter.on(\"destroy\",function(){util.forEach(_this2.nodesListeners,function(callback,event){if(_this2.body.data.nodes)_this2.body.data.nodes.off(event,callback)});delete _this2.body.functions.createNode;delete _this2.nodesListeners.add;delete _this2.nodesListeners.update;delete _this2.nodesListeners.remove;delete _this2.nodesListeners})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){Node.parseOptions(this.options,options);if(options.shape!==undefined){for(var nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){this.body.nodes[nodeId].updateShape()}}}if(options.font!==undefined){for(var _nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(_nodeId)){this.body.nodes[_nodeId].updateLabelModule();this.body.nodes[_nodeId].needsRefresh()}}}if(options.size!==undefined){for(var _nodeId2 in this.body.nodes){if(this.body.nodes.hasOwnProperty(_nodeId2)){this.body.nodes[_nodeId2].needsRefresh()}}}if(options.hidden!==undefined||options.physics!==undefined){this.body.emitter.emit(\"_dataChanged\")}}}},{key:\"setData\",value:function setData(nodes){var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var oldNodesData=this.body.data.nodes;if(nodes instanceof DataSet||nodes instanceof DataView){this.body.data.nodes=nodes}else if(Array.isArray(nodes)){this.body.data.nodes=new DataSet;this.body.data.nodes.add(nodes)}else if(!nodes){this.body.data.nodes=new DataSet}else{throw new TypeError(\"Array or DataSet expected\")}if(oldNodesData){util.forEach(this.nodesListeners,function(callback,event){oldNodesData.off(event,callback)})}this.body.nodes={};if(this.body.data.nodes){var me=this;util.forEach(this.nodesListeners,function(callback,event){me.body.data.nodes.on(event,callback)});var ids=this.body.data.nodes.getIds();this.add(ids,true)}if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"add\",value:function add(ids){var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var id=void 0;var newNodes=[];for(var i=0;i<ids.length;i++){id=ids[i];var properties=this.body.data.nodes.get(id);var node=this.create(properties);newNodes.push(node);this.body.nodes[id]=node}this.layoutEngine.positionInitially(newNodes);if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"update\",value:function update(ids,changedData,oldData){var nodes=this.body.nodes;var dataChanged=false;for(var i=0;i<ids.length;i++){var id=ids[i];var node=nodes[id];var data=changedData[i];if(node!==undefined){if(node.setOptions(data)){dataChanged=true}}else{dataChanged=true;node=this.create(data);nodes[id]=node}}if(!dataChanged&&oldData!==undefined){dataChanged=changedData.some(function(newValue,index){var oldValue=oldData[index];return oldValue&&oldValue.level!==newValue.level})}if(dataChanged===true){this.body.emitter.emit(\"_dataChanged\")}else{this.body.emitter.emit(\"_dataUpdated\")}}},{key:\"remove\",value:function remove(ids){var nodes=this.body.nodes;for(var i=0;i<ids.length;i++){var id=ids[i];delete nodes[id]}this.body.emitter.emit(\"_dataChanged\")}},{key:\"create\",value:function create(properties){var constructorClass=arguments.length>1&&arguments[1]!==undefined?arguments[1]:Node;return new constructorClass(properties,this.body,this.images,this.groups,this.options,this.defaultOptions)}},{key:\"refresh\",value:function refresh(){var _this3=this;var clearPositions=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;util.forEach(this.body.nodes,function(node,nodeId){var data=_this3.body.data.nodes.get(nodeId);if(data!==undefined){if(clearPositions===true){node.setOptions({x:null,y:null})}node.setOptions({fixed:false});node.setOptions(data)}})}},{key:\"getPositions\",value:function getPositions(ids){var dataArray={};if(ids!==undefined){if(Array.isArray(ids)===true){for(var i=0;i<ids.length;i++){if(this.body.nodes[ids[i]]!==undefined){var node=this.body.nodes[ids[i]];dataArray[ids[i]]={x:Math.round(node.x),y:Math.round(node.y)}}}}else{if(this.body.nodes[ids]!==undefined){var _node=this.body.nodes[ids];dataArray[ids]={x:Math.round(_node.x),y:Math.round(_node.y)}}}}else{for(var _i=0;_i<this.body.nodeIndices.length;_i++){var _node2=this.body.nodes[this.body.nodeIndices[_i]];dataArray[this.body.nodeIndices[_i]]={x:Math.round(_node2.x),y:Math.round(_node2.y)}}}return dataArray}},{key:\"storePositions\",value:function storePositions(){var dataArray=[];var dataset=this.body.data.nodes.getDataSet();for(var nodeId in dataset._data){if(dataset._data.hasOwnProperty(nodeId)){var node=this.body.nodes[nodeId];if(dataset._data[nodeId].x!=Math.round(node.x)||dataset._data[nodeId].y!=Math.round(node.y)){dataArray.push({id:node.id,x:Math.round(node.x),y:Math.round(node.y)})}}}dataset.update(dataArray)}},{key:\"getBoundingBox\",value:function getBoundingBox(nodeId){if(this.body.nodes[nodeId]!==undefined){return this.body.nodes[nodeId].shape.boundingBox}}},{key:\"getConnectedNodes\",value:function getConnectedNodes(nodeId,direction){var nodeList=[];if(this.body.nodes[nodeId]!==undefined){var node=this.body.nodes[nodeId];var nodeObj={};for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];if(direction!==\"to\"&&edge.toId==node.id){if(nodeObj[edge.fromId]===undefined){nodeList.push(edge.fromId);nodeObj[edge.fromId]=true}}else if(direction!==\"from\"&&edge.fromId==node.id){if(nodeObj[edge.toId]===undefined){nodeList.push(edge.toId);nodeObj[edge.toId]=true}}}}return nodeList}},{key:\"getConnectedEdges\",value:function getConnectedEdges(nodeId){var edgeList=[];if(this.body.nodes[nodeId]!==undefined){var node=this.body.nodes[nodeId];for(var i=0;i<node.edges.length;i++){edgeList.push(node.edges[i].id)}}else{console.log(\"NodeId provided for getConnectedEdges does not exist. Provided: \",nodeId)}return edgeList}},{key:\"moveNode\",value:function moveNode(nodeId,x,y){var _this4=this;if(this.body.nodes[nodeId]!==undefined){this.body.nodes[nodeId].x=Number(x);this.body.nodes[nodeId].y=Number(y);setTimeout(function(){_this4.body.emitter.emit(\"startSimulation\")},0)}else{console.log(\"Node id supplied to moveNode does not exist. Provided: \",nodeId)}}}]);return NodesHandler}();exports[\"default\"]=NodesHandler},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(189),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(49);__webpack_require__(60);module.exports=__webpack_require__(190)},function(module,exports,__webpack_require__){var classof=__webpack_require__(86);var ITERATOR=__webpack_require__(13)(\"iterator\");var Iterators=__webpack_require__(31);module.exports=__webpack_require__(7).isIterable=function(it){var O=Object(it);return O[ITERATOR]!==undefined||\"@@iterator\"in O||Iterators.hasOwnProperty(classof(O))}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var LabelAccumulator=__webpack_require__(192)[\"default\"];var ComponentUtil=__webpack_require__(48)[\"default\"];var LabelSplitter=function(){function LabelSplitter(ctx,parent,selected,hover){var _this=this;(0,_classCallCheck3[\"default\"])(this,LabelSplitter);this.ctx=ctx;this.parent=parent;var textWidth=function textWidth(text,mod){if(text===undefined)return 0;var values=_this.parent.getFormattingValues(ctx,selected,hover,mod);var width=0;if(text!==\"\"){var measure=_this.ctx.measureText(text);width=measure.width}return{width:width,values:values}};this.lines=new LabelAccumulator(textWidth)}(0,_createClass3[\"default\"])(LabelSplitter,[{key:\"process\",value:function process(text){if(!ComponentUtil.isValidLabel(text)){return this.lines.finalize()}var font=this.parent.fontOptions;text=text.replace(/\\r\\n/g,\"\\n\");text=text.replace(/\\r/g,\"\\n\");var nlLines=String(text).split(\"\\n\");var lineCount=nlLines.length;if(font.multi){for(var i=0;i<lineCount;i++){var blocks=this.splitBlocks(nlLines[i],font.multi);if(blocks===undefined)continue;if(blocks.length===0){this.lines.newLine(\"\");continue}if(font.maxWdt>0){for(var j=0;j<blocks.length;j++){var mod=blocks[j].mod;var _text=blocks[j].text;this.splitStringIntoLines(_text,mod,true)}}else{for(var _j=0;_j<blocks.length;_j++){var _mod=blocks[_j].mod;var _text2=blocks[_j].text;this.lines.append(_text2,_mod)}}this.lines.newLine()}}else{if(font.maxWdt>0){for(var _i=0;_i<lineCount;_i++){this.splitStringIntoLines(nlLines[_i])}}else{for(var _i2=0;_i2<lineCount;_i2++){this.lines.newLine(nlLines[_i2])}}}return this.lines.finalize()}},{key:\"decodeMarkupSystem\",value:function decodeMarkupSystem(markupSystem){var system=\"none\";if(markupSystem===\"markdown\"||markupSystem===\"md\"){system=\"markdown\"}else if(markupSystem===true||markupSystem===\"html\"){system=\"html\"}return system}},{key:\"splitHtmlBlocks\",value:function splitHtmlBlocks(text){var blocks=[];var s={bold:false,ital:false,mono:false,spacing:false,position:0,buffer:\"\",modStack:[]};s.mod=function(){return this.modStack.length===0?\"normal\":this.modStack[0]};s.modName=function(){if(this.modStack.length===0)return\"normal\";else if(this.modStack[0]===\"mono\")return\"mono\";else{if(s.bold&&s.ital){return\"boldital\"}else if(s.bold){return\"bold\"}else if(s.ital){return\"ital\"}}};s.emitBlock=function(){var override=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.spacing){this.add(\" \");this.spacing=false}if(this.buffer.length>0){blocks.push({text:this.buffer,mod:this.modName()});this.buffer=\"\"}};s.add=function(text){if(text===\" \"){s.spacing=true}if(s.spacing){this.buffer+=\" \";this.spacing=false}if(text!=\" \"){this.buffer+=text}};while(s.position<text.length){var ch=text.charAt(s.position);if(/[ \\t]/.test(ch)){if(!s.mono){s.spacing=true}else{s.add(ch)}}else if(/</.test(ch)){if(!s.mono&&!s.bold&&/<b>/.test(text.substr(s.position,3))){s.emitBlock();s.bold=true;s.modStack.unshift(\"bold\");s.position+=2}else if(!s.mono&&!s.ital&&/<i>/.test(text.substr(s.position,3))){s.emitBlock();s.ital=true;s.modStack.unshift(\"ital\");s.position+=2}else if(!s.mono&&/<code>/.test(text.substr(s.position,6))){s.emitBlock();s.mono=true;s.modStack.unshift(\"mono\");s.position+=5}else if(!s.mono&&s.mod()===\"bold\"&&/<\\/b>/.test(text.substr(s.position,4))){s.emitBlock();s.bold=false;s.modStack.shift();s.position+=3}else if(!s.mono&&s.mod()===\"ital\"&&/<\\/i>/.test(text.substr(s.position,4))){s.emitBlock();s.ital=false;s.modStack.shift();s.position+=3}else if(s.mod()===\"mono\"&&/<\\/code>/.test(text.substr(s.position,7))){s.emitBlock();s.mono=false;s.modStack.shift();s.position+=6}else{s.add(ch)}}else if(/&/.test(ch)){if(/</.test(text.substr(s.position,4))){s.add(\"<\");s.position+=3}else if(/&/.test(text.substr(s.position,5))){s.add(\"&\");s.position+=4}else{s.add(\"&\")}}else{s.add(ch)}s.position++}s.emitBlock();return blocks}},{key:\"splitMarkdownBlocks\",value:function splitMarkdownBlocks(text){var blocks=[];var s={bold:false,ital:false,mono:false,beginable:true,spacing:false,position:0,buffer:\"\",modStack:[]};s.mod=function(){return this.modStack.length===0?\"normal\":this.modStack[0]};s.modName=function(){if(this.modStack.length===0)return\"normal\";else if(this.modStack[0]===\"mono\")return\"mono\";else{if(s.bold&&s.ital){return\"boldital\"}else if(s.bold){return\"bold\"}else if(s.ital){return\"ital\"}}};s.emitBlock=function(){var override=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.spacing){this.add(\" \");this.spacing=false}if(this.buffer.length>0){blocks.push({text:this.buffer,mod:this.modName()});this.buffer=\"\"}};s.add=function(text){if(text===\" \"){s.spacing=true}if(s.spacing){this.buffer+=\" \";this.spacing=false}if(text!=\" \"){this.buffer+=text}};while(s.position<text.length){var ch=text.charAt(s.position);if(/[ \\t]/.test(ch)){if(!s.mono){s.spacing=true}else{s.add(ch)}s.beginable=true}else if(/\\\\/.test(ch)){if(s.position<text.length+1){s.position++;ch=text.charAt(s.position);if(/ \\t/.test(ch)){s.spacing=true}else{s.add(ch);s.beginable=false}}}else if(!s.mono&&!s.bold&&(s.beginable||s.spacing)&&/\\*/.test(ch)){s.emitBlock();s.bold=true;s.modStack.unshift(\"bold\")}else if(!s.mono&&!s.ital&&(s.beginable||s.spacing)&&/\\_/.test(ch)){s.emitBlock();s.ital=true;s.modStack.unshift(\"ital\")}else if(!s.mono&&(s.beginable||s.spacing)&&/`/.test(ch)){s.emitBlock();s.mono=true;s.modStack.unshift(\"mono\")}else if(!s.mono&&s.mod()===\"bold\"&&/\\*/.test(ch)){if(s.position===text.length-1||/[.,_` \\t\\n]/.test(text.charAt(s.position+1))){s.emitBlock();s.bold=false;s.modStack.shift()}else{s.add(ch)}}else if(!s.mono&&s.mod()===\"ital\"&&/\\_/.test(ch)){if(s.position===text.length-1||/[.,*` \\t\\n]/.test(text.charAt(s.position+1))){s.emitBlock();s.ital=false;s.modStack.shift()}else{s.add(ch)}}else if(s.mono&&s.mod()===\"mono\"&&/`/.test(ch)){if(s.position===text.length-1||/[.,*_ \\t\\n]/.test(text.charAt(s.position+1))){s.emitBlock();s.mono=false;s.modStack.shift()}else{s.add(ch)}}else{s.add(ch);s.beginable=false}s.position++}s.emitBlock();return blocks}},{key:\"splitBlocks\",value:function splitBlocks(text,markupSystem){var system=this.decodeMarkupSystem(markupSystem);if(system===\"none\"){return[{text:text,mod:\"normal\"}]}else if(system===\"markdown\"){return this.splitMarkdownBlocks(text)}else if(system===\"html\"){return this.splitHtmlBlocks(text)}}},{key:\"overMaxWidth\",value:function overMaxWidth(text){var width=this.ctx.measureText(text).width;return this.lines.curWidth()+width>this.parent.fontOptions.maxWdt}},{key:\"getLongestFit\",value:function getLongestFit(words){var text=\"\";var w=0;while(w<words.length){var pre=text===\"\"?\"\":\" \";var newText=text+pre+words[w];if(this.overMaxWidth(newText))break;text=newText;w++}return w}},{key:\"getLongestFitWord\",value:function getLongestFitWord(words){var w=0;while(w<words.length){if(this.overMaxWidth(words.slice(0,w)))break;w++}return w}},{key:\"splitStringIntoLines\",value:function splitStringIntoLines(str){var mod=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"normal\";var appendLast=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;str=str.replace(/^( +)/g,\"$1\\r\");str=str.replace(/([^\\r][^ ]*)( +)/g,\"$1\\r$2\\r\");var words=str.split(\"\\r\");while(words.length>0){var w=this.getLongestFit(words);if(w===0){var word=words[0];var x=this.getLongestFitWord(word);this.lines.newLine(word.slice(0,x),mod);words[0]=word.slice(x)}else{var newW=w;if(words[w-1]===\" \"){w--}else if(words[newW]===\" \"){newW++}var text=words.slice(0,w).join(\"\");if(w==words.length&&appendLast){this.lines.append(text,mod)}else{this.lines.newLine(text,mod)}words=words.slice(newW)}}}}]);return LabelSplitter}();exports[\"default\"]=LabelSplitter},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _assign=__webpack_require__(90);var _assign2=_interopRequireDefault(_assign);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var LabelAccumulator=function(){function LabelAccumulator(measureText){(0,_classCallCheck3[\"default\"])(this,LabelAccumulator);this.measureText=measureText;this.current=0;this.width=0;this.height=0;this.lines=[]}(0,_createClass3[\"default\"])(LabelAccumulator,[{key:\"_add\",value:function _add(l,text){var mod=arguments.length>2&&arguments[2]!==undefined?arguments[2]:\"normal\";if(this.lines[l]===undefined){this.lines[l]={width:0,height:0,blocks:[]}}var tmpText=text;if(text===undefined||text===\"\")tmpText=\" \";var result=this.measureText(tmpText,mod);var block=(0,_assign2[\"default\"])({},result.values);block.text=text;block.width=result.width;block.mod=mod;if(text===undefined||text===\"\"){block.width=0}this.lines[l].blocks.push(block);this.lines[l].width+=block.width}},{key:\"curWidth\",value:function curWidth(){var line=this.lines[this.current];if(line===undefined)return 0;return line.width}},{key:\"append\",value:function append(text){var mod=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"normal\";this._add(this.current,text,mod)}},{key:\"newLine\",value:function newLine(text){var mod=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"normal\";this._add(this.current,text,mod);this.current++}},{key:\"determineLineHeights\",value:function determineLineHeights(){for(var k=0;k<this.lines.length;k++){var line=this.lines[k];var height=0;if(line.blocks!==undefined){for(var l=0;l<line.blocks.length;l++){var block=line.blocks[l];if(height<block.height){height=block.height}}}line.height=height}}},{key:\"determineLabelSize\",value:function determineLabelSize(){var width=0;var height=0;for(var k=0;k<this.lines.length;k++){var line=this.lines[k];if(line.width>width){width=line.width}height+=line.height}this.width=width;this.height=height}},{key:\"removeEmptyBlocks\",value:function removeEmptyBlocks(){var tmpLines=[];for(var k=0;k<this.lines.length;k++){var line=this.lines[k];if(line.blocks.length===0)continue;if(k===this.lines.length-1){if(line.width===0)continue}var tmpLine={};(0,_assign2[\"default\"])(tmpLine,line);tmpLine.blocks=[];var firstEmptyBlock=void 0;var tmpBlocks=[];for(var l=0;l<line.blocks.length;l++){var block=line.blocks[l];if(block.width!==0){tmpBlocks.push(block)}else{if(firstEmptyBlock===undefined){firstEmptyBlock=block}}}if(tmpBlocks.length===0&&firstEmptyBlock!==undefined){tmpBlocks.push(firstEmptyBlock)}tmpLine.blocks=tmpBlocks;tmpLines.push(tmpLine)}return tmpLines}},{key:\"finalize\",value:function finalize(){this.determineLineHeights();this.determineLabelSize();var tmpLines=this.removeEmptyBlocks();return{width:this.width,height:this.height,lines:tmpLines}}}]);return LabelAccumulator}();exports[\"default\"]=LabelAccumulator},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Box=function(_NodeBase){(0,_inherits3[\"default\"])(Box,_NodeBase);function Box(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Box);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Box.__proto__||(0,_getPrototypeOf2[\"default\"])(Box)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Box,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);this.width=dimensions.width+this.margin.right+this.margin.left;this.height=dimensions.height+this.margin.top+this.margin.bottom;this.radius=this.width/2}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this.initContextForDraw(ctx,values);ctx.roundRect(this.left,this.top,this.width,this.height,values.borderRadius);this.performFill(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,this.top+this.textSize.height/2+this.margin.top,selected,hover)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y,ctx,selected,hover){this._updateBoundingBox(x,y,ctx,selected,hover)\n;var borderRadius=this.options.shapeProperties.borderRadius;this._addBoundingBoxMargin(borderRadius)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);var borderWidth=this.options.borderWidth;return Math.min(Math.abs(this.width/2/Math.cos(angle)),Math.abs(this.height/2/Math.sin(angle)))+borderWidth}}]);return Box}(_NodeBase3[\"default\"]);exports[\"default\"]=Box},function(module,exports,__webpack_require__){__webpack_require__(195);module.exports=__webpack_require__(7).Object.getPrototypeOf},function(module,exports,__webpack_require__){var toObject=__webpack_require__(41);var $getPrototypeOf=__webpack_require__(85);__webpack_require__(87)(\"getPrototypeOf\",function(){return function getPrototypeOf(it){return $getPrototypeOf(toObject(it))}})},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(197),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(198);module.exports=__webpack_require__(7).Object.setPrototypeOf},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S,\"Object\",{setPrototypeOf:__webpack_require__(199).set})},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);var anObject=__webpack_require__(27);var check=function(O,proto){anObject(O);if(!isObject(proto)&&proto!==null)throw TypeError(proto+\": can't set as prototype!\")};module.exports={set:Object.setPrototypeOf||(\"__proto__\"in{}?function(test,buggy,set){try{set=__webpack_require__(80)(Function.call,__webpack_require__(89).f(Object.prototype,\"__proto__\").set,2);set(test,[]);buggy=!(test instanceof Array)}catch(e){buggy=true}return function setPrototypeOf(O,proto){check(O,proto);if(buggy)O.__proto__=proto;else set(O,proto);return O}}({},false):undefined),check:check}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CircleImageBase2=__webpack_require__(73);var _CircleImageBase3=_interopRequireDefault(_CircleImageBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Circle=function(_CircleImageBase){(0,_inherits3[\"default\"])(Circle,_CircleImageBase);function Circle(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Circle);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Circle.__proto__||(0,_getPrototypeOf2[\"default\"])(Circle)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Circle,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);var diameter=Math.max(dimensions.width+this.margin.right+this.margin.left,dimensions.height+this.margin.top+this.margin.bottom);this.options.size=diameter/2;this.width=diameter;this.height=diameter;this.radius=this.width/2}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this._drawRawCircle(ctx,x,y,values);this.updateBoundingBox(x,y);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,y,selected,hover)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.size;this.boundingBox.left=x-this.options.size;this.boundingBox.right=x+this.options.size;this.boundingBox.bottom=y+this.options.size}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);return this.width*.5}}]);return Circle}(_CircleImageBase3[\"default\"]);exports[\"default\"]=Circle},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CircleImageBase2=__webpack_require__(73);var _CircleImageBase3=_interopRequireDefault(_CircleImageBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CircularImage=function(_CircleImageBase){(0,_inherits3[\"default\"])(CircularImage,_CircleImageBase);function CircularImage(options,body,labelModule,imageObj,imageObjAlt){(0,_classCallCheck3[\"default\"])(this,CircularImage);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(CircularImage.__proto__||(0,_getPrototypeOf2[\"default\"])(CircularImage)).call(this,options,body,labelModule));_this.setImages(imageObj,imageObjAlt);return _this}(0,_createClass3[\"default\"])(CircularImage,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;var imageAbsent=this.imageObj.src===undefined||this.imageObj.width===undefined||this.imageObj.height===undefined;if(imageAbsent){var diameter=this.options.size*2;this.width=diameter;this.height=diameter;this.radius=.5*this.width;return}if(this.needsRefresh(selected,hover)){this._resizeImage()}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.switchImages(selected);this.resize();this.left=x-this.width/2;this.top=y-this.height/2;this._drawRawCircle(ctx,x,y,values);ctx.save();ctx.clip();this._drawImageAtPosition(ctx,values);ctx.restore();this._drawImageLabel(ctx,x,y,selected,hover);this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.size;this.boundingBox.left=x-this.options.size;this.boundingBox.right=x+this.options.size;this.boundingBox.bottom=y+this.options.size;this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelOffset)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);return this.width*.5}}]);return CircularImage}(_CircleImageBase3[\"default\"]);exports[\"default\"]=CircularImage},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Database=function(_NodeBase){(0,_inherits3[\"default\"])(Database,_NodeBase);function Database(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Database);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Database.__proto__||(0,_getPrototypeOf2[\"default\"])(Database)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Database,[{key:\"resize\",value:function resize(ctx,selected,hover){if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);var size=dimensions.width+this.margin.right+this.margin.left;this.width=size;this.height=size;this.radius=this.width/2}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this.initContextForDraw(ctx,values);ctx.database(x-this.width/2,y-this.height/2,this.width,this.height);this.performFill(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,this.top+this.textSize.height/2+this.margin.top,selected,hover)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Database}(_NodeBase3[\"default\"]);exports[\"default\"]=Database},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Diamond=function(_ShapeBase){(0,_inherits3[\"default\"])(Diamond,_ShapeBase);function Diamond(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Diamond);return(0,_possibleConstructorReturn3[\"default\"])(this,(Diamond.__proto__||(0,_getPrototypeOf2[\"default\"])(Diamond)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Diamond,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"diamond\",4,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Diamond}(_ShapeBase3[\"default\"]);exports[\"default\"]=Diamond},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Dot=function(_ShapeBase){(0,_inherits3[\"default\"])(Dot,_ShapeBase);function Dot(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Dot);return(0,_possibleConstructorReturn3[\"default\"])(this,(Dot.__proto__||(0,_getPrototypeOf2[\"default\"])(Dot)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Dot,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"circle\",2,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);return this.options.size}}]);return Dot}(_ShapeBase3[\"default\"]);exports[\"default\"]=Dot},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Ellipse=function(_NodeBase){(0,_inherits3[\"default\"])(Ellipse,_NodeBase);function Ellipse(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Ellipse);return(0,_possibleConstructorReturn3[\"default\"])(this,(Ellipse.__proto__||(0,_getPrototypeOf2[\"default\"])(Ellipse)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Ellipse,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);this.height=dimensions.height*2;this.width=dimensions.width+dimensions.height;this.radius=.5*this.width}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width*.5;this.top=y-this.height*.5;this.initContextForDraw(ctx,values);ctx.ellipse_vis(this.left,this.top,this.width,this.height);this.performFill(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover);this.labelModule.draw(ctx,x,y,selected,hover)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);var a=this.width*.5;var b=this.height*.5;var w=Math.sin(angle)*a;var h=Math.cos(angle)*b;return a*b/Math.sqrt(w*w+h*h)}}]);return Ellipse}(_NodeBase3[\"default\"]);exports[\"default\"]=Ellipse},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Icon=function(_NodeBase){(0,_inherits3[\"default\"])(Icon,_NodeBase);function Icon(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Icon);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Icon.__proto__||(0,_getPrototypeOf2[\"default\"])(Icon)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Icon,[{key:\"resize\",value:function resize(ctx,selected,hover){if(this.needsRefresh(selected,hover)){this.iconSize={width:Number(this.options.icon.size),height:Number(this.options.icon.size)};this.width=this.iconSize.width+this.margin.right+this.margin.left;this.height=this.iconSize.height+this.margin.top+this.margin.bottom;this.radius=.5*this.width}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.options.icon.size=this.options.icon.size||50;this.left=x-this.width/2;this.top=y-this.height/2;this._icon(ctx,x,y,selected,hover,values);if(this.options.label!==undefined){var iconTextSpacing=5;this.labelModule.draw(ctx,this.left+this.iconSize.width/2+this.margin.left,y+this.height/2+iconTextSpacing,selected)}this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.icon.size*.5;this.boundingBox.left=x-this.options.icon.size*.5;this.boundingBox.right=x+this.options.icon.size*.5;this.boundingBox.bottom=y+this.options.icon.size*.5;if(this.options.label!==undefined&&this.labelModule.size.width>0){var iconTextSpacing=5;this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelModule.size.height+iconTextSpacing)}}},{key:\"_icon\",value:function _icon(ctx,x,y,selected,hover,values){var iconSize=Number(this.options.icon.size);if(this.options.icon.code!==undefined){ctx.font=(selected?\"bold \":\"\")+iconSize+\"px \"+this.options.icon.face;ctx.fillStyle=this.options.icon.color||\"black\";ctx.textAlign=\"center\";ctx.textBaseline=\"middle\";this.enableShadow(ctx,values);ctx.fillText(this.options.icon.code,x,y);this.disableShadow(ctx,values)}else{console.error(\"When using the icon shape, you need to define the code in the icon options object. This can be done per node or globally.\")}}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Icon}(_NodeBase3[\"default\"]);exports[\"default\"]=Icon},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CircleImageBase2=__webpack_require__(73);var _CircleImageBase3=_interopRequireDefault(_CircleImageBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Image=function(_CircleImageBase){(0,_inherits3[\"default\"])(Image,_CircleImageBase);function Image(options,body,labelModule,imageObj,imageObjAlt){(0,_classCallCheck3[\"default\"])(this,Image);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Image.__proto__||(0,_getPrototypeOf2[\"default\"])(Image)).call(this,options,body,labelModule));_this.setImages(imageObj,imageObjAlt);return _this}(0,_createClass3[\"default\"])(Image,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;var imageAbsent=this.imageObj.src===undefined||this.imageObj.width===undefined||this.imageObj.height===undefined;if(imageAbsent){var side=this.options.size*2;this.width=side;this.height=side;return}if(this.needsRefresh(selected,hover)){this._resizeImage()}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.switchImages(selected);this.resize();this.left=x-this.width/2;this.top=y-this.height/2;if(this.options.shapeProperties.useBorderWithImage===true){var neutralborderWidth=this.options.borderWidth;var selectionLineWidth=this.options.borderWidthSelected||2*this.options.borderWidth;var borderWidth=(selected?selectionLineWidth:neutralborderWidth)/this.body.view.scale;ctx.lineWidth=Math.min(this.width,borderWidth);ctx.beginPath();ctx.strokeStyle=selected?this.options.color.highlight.border:hover?this.options.color.hover.border:this.options.color.border;ctx.fillStyle=selected?this.options.color.highlight.background:hover?this.options.color.hover.background:this.options.color.background;ctx.rect(this.left-.5*ctx.lineWidth,this.top-.5*ctx.lineWidth,this.width+ctx.lineWidth,this.height+ctx.lineWidth);ctx.fill();this.performStroke(ctx,values);ctx.closePath()}this._drawImageAtPosition(ctx,values);this._drawImageLabel(ctx,x,y,selected,hover);this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.resize();this._updateBoundingBox(x,y);if(this.options.label!==undefined&&this.labelModule.size.width>0){this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelOffset)}}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Image}(_CircleImageBase3[\"default\"]);exports[\"default\"]=Image},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Square=function(_ShapeBase){(0,_inherits3[\"default\"])(Square,_ShapeBase);function Square(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Square);return(0,_possibleConstructorReturn3[\"default\"])(this,(Square.__proto__||(0,_getPrototypeOf2[\"default\"])(Square)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Square,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"square\",2,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Square}(_ShapeBase3[\"default\"]);exports[\"default\"]=Square},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hexagon=function(_ShapeBase){(0,_inherits3[\"default\"])(Hexagon,_ShapeBase);function Hexagon(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Hexagon);return(0,_possibleConstructorReturn3[\"default\"])(this,(Hexagon.__proto__||(0,_getPrototypeOf2[\"default\"])(Hexagon)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Hexagon,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"hexagon\",4,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Hexagon}(_ShapeBase3[\"default\"]);exports[\"default\"]=Hexagon},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Star=function(_ShapeBase){(0,_inherits3[\"default\"])(Star,_ShapeBase);function Star(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Star);return(0,_possibleConstructorReturn3[\"default\"])(this,(Star.__proto__||(0,_getPrototypeOf2[\"default\"])(Star)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Star,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"star\",4,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Star}(_ShapeBase3[\"default\"]);exports[\"default\"]=Star},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Text=function(_NodeBase){(0,_inherits3[\"default\"])(Text,_NodeBase);function Text(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Text);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Text.__proto__||(0,_getPrototypeOf2[\"default\"])(Text)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Text,[{key:\"resize\",value:function resize(ctx,selected,hover){if(this.needsRefresh(selected,hover)){this.textSize=this.labelModule.getTextSize(ctx,selected,hover);this.width=this.textSize.width+this.margin.right+this.margin.left;this.height=this.textSize.height+this.margin.top+this.margin.bottom;this.radius=.5*this.width}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this.enableShadow(ctx,values);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,this.top+this.textSize.height/2+this.margin.top,selected,hover);this.disableShadow(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Text}(_NodeBase3[\"default\"]);exports[\"default\"]=Text},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Triangle=function(_ShapeBase){(0,_inherits3[\"default\"])(Triangle,_ShapeBase);function Triangle(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Triangle);return(0,_possibleConstructorReturn3[\"default\"])(this,(Triangle.__proto__||(0,_getPrototypeOf2[\"default\"])(Triangle)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Triangle,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"triangle\",3,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Triangle}(_ShapeBase3[\"default\"]);exports[\"default\"]=Triangle},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var TriangleDown=function(_ShapeBase){(0,_inherits3[\"default\"])(TriangleDown,_ShapeBase);function TriangleDown(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,TriangleDown);return(0,_possibleConstructorReturn3[\"default\"])(this,(TriangleDown.__proto__||(0,_getPrototypeOf2[\"default\"])(TriangleDown)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(TriangleDown,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"triangleDown\",3,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return TriangleDown}(_ShapeBase3[\"default\"]);exports[\"default\"]=TriangleDown},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Edge=__webpack_require__(74)[\"default\"];var EdgesHandler=function(){function EdgesHandler(body,images,groups){var _this=this;(0,_classCallCheck3[\"default\"])(this,EdgesHandler);this.body=body;this.images=images;this.groups=groups;this.body.functions.createEdge=this.create.bind(this);this.edgesListeners={add:function add(event,params){_this.add(params.items)},update:function update(event,params){_this.update(params.items)},remove:function remove(event,params){_this.remove(params.items)}};this.options={};this.defaultOptions={arrows:{to:{enabled:false,\nscaleFactor:1,type:\"arrow\"},middle:{enabled:false,scaleFactor:1,type:\"arrow\"},from:{enabled:false,scaleFactor:1,type:\"arrow\"}},arrowStrikethrough:true,color:{color:\"#848484\",highlight:\"#848484\",hover:\"#848484\",inherit:\"from\",opacity:1},dashes:false,font:{color:\"#343434\",size:14,face:\"arial\",background:\"none\",strokeWidth:2,strokeColor:\"#ffffff\",align:\"horizontal\",multi:false,vadjust:0,bold:{mod:\"bold\"},boldital:{mod:\"bold italic\"},ital:{mod:\"italic\"},mono:{mod:\"\",size:15,face:\"courier new\",vadjust:2}},hidden:false,hoverWidth:1.5,label:undefined,labelHighlightBold:true,length:undefined,physics:true,scaling:{min:1,max:15,label:{enabled:true,min:14,max:30,maxVisible:30,drawThreshold:5},customScalingFunction:function customScalingFunction(min,max,total,value){if(max===min){return.5}else{var scale=1/(max-min);return Math.max(0,(value-min)*scale)}}},selectionWidth:1.5,selfReferenceSize:20,shadow:{enabled:false,color:\"rgba(0,0,0,0.5)\",size:10,x:5,y:5},smooth:{enabled:true,type:\"dynamic\",forceDirection:\"none\",roundness:.5},title:undefined,width:1,value:undefined};util.deepExtend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(EdgesHandler,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this2=this;this.body.emitter.on(\"_forceDisableDynamicCurves\",function(type){var emit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(type===\"dynamic\"){type=\"continuous\"}var dataChanged=false;for(var edgeId in _this2.body.edges){if(_this2.body.edges.hasOwnProperty(edgeId)){var edge=_this2.body.edges[edgeId];var edgeData=_this2.body.data.edges._data[edgeId];if(edgeData!==undefined){var smoothOptions=edgeData.smooth;if(smoothOptions!==undefined){if(smoothOptions.enabled===true&&smoothOptions.type===\"dynamic\"){if(type===undefined){edge.setOptions({smooth:false})}else{edge.setOptions({smooth:{type:type}})}dataChanged=true}}}}}if(emit===true&&dataChanged===true){_this2.body.emitter.emit(\"_dataChanged\")}});this.body.emitter.on(\"_dataUpdated\",function(){_this2.reconnectEdges()});this.body.emitter.on(\"refreshEdges\",this.refresh.bind(this));this.body.emitter.on(\"refresh\",this.refresh.bind(this));this.body.emitter.on(\"destroy\",function(){util.forEach(_this2.edgesListeners,function(callback,event){if(_this2.body.data.edges)_this2.body.data.edges.off(event,callback)});delete _this2.body.functions.createEdge;delete _this2.edgesListeners.add;delete _this2.edgesListeners.update;delete _this2.edgesListeners.remove;delete _this2.edgesListeners})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){Edge.parseOptions(this.options,options,true,this.defaultOptions,true);var dataChanged=false;if(options.smooth!==undefined){for(var edgeId in this.body.edges){if(this.body.edges.hasOwnProperty(edgeId)){dataChanged=this.body.edges[edgeId].updateEdgeType()||dataChanged}}}if(options.font!==undefined){for(var _edgeId in this.body.edges){if(this.body.edges.hasOwnProperty(_edgeId)){this.body.edges[_edgeId].updateLabelModule()}}}if(options.hidden!==undefined||options.physics!==undefined||dataChanged===true){this.body.emitter.emit(\"_dataChanged\")}}}},{key:\"setData\",value:function setData(edges){var _this3=this;var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var oldEdgesData=this.body.data.edges;if(edges instanceof DataSet||edges instanceof DataView){this.body.data.edges=edges}else if(Array.isArray(edges)){this.body.data.edges=new DataSet;this.body.data.edges.add(edges)}else if(!edges){this.body.data.edges=new DataSet}else{throw new TypeError(\"Array or DataSet expected\")}if(oldEdgesData){util.forEach(this.edgesListeners,function(callback,event){oldEdgesData.off(event,callback)})}this.body.edges={};if(this.body.data.edges){util.forEach(this.edgesListeners,function(callback,event){_this3.body.data.edges.on(event,callback)});var ids=this.body.data.edges.getIds();this.add(ids,true)}this.body.emitter.emit(\"_adjustEdgesForHierarchicalLayout\");if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"add\",value:function add(ids){var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var edges=this.body.edges;var edgesData=this.body.data.edges;for(var i=0;i<ids.length;i++){var id=ids[i];var oldEdge=edges[id];if(oldEdge){oldEdge.disconnect()}var data=edgesData.get(id,{showInternalIds:true});edges[id]=this.create(data)}this.body.emitter.emit(\"_adjustEdgesForHierarchicalLayout\");if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"update\",value:function update(ids){var edges=this.body.edges;var edgesData=this.body.data.edges;var dataChanged=false;for(var i=0;i<ids.length;i++){var id=ids[i];var data=edgesData.get(id);var edge=edges[id];if(edge!==undefined){edge.disconnect();dataChanged=edge.setOptions(data)||dataChanged;edge.connect()}else{this.body.edges[id]=this.create(data);dataChanged=true}}if(dataChanged===true){this.body.emitter.emit(\"_adjustEdgesForHierarchicalLayout\");this.body.emitter.emit(\"_dataChanged\")}else{this.body.emitter.emit(\"_dataUpdated\")}}},{key:\"remove\",value:function remove(ids){var emit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(ids.length===0)return;var edges=this.body.edges;util.forEach(ids,function(id){var edge=edges[id];if(edge!==undefined){edge.remove()}});if(emit){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"refresh\",value:function refresh(){var _this4=this;util.forEach(this.body.edges,function(edge,edgeId){var data=_this4.body.data.edges._data[edgeId];if(data!==undefined){edge.setOptions(data)}})}},{key:\"create\",value:function create(properties){return new Edge(properties,this.body,this.options,this.defaultOptions)}},{key:\"reconnectEdges\",value:function reconnectEdges(){var id;var nodes=this.body.nodes;var edges=this.body.edges;for(id in nodes){if(nodes.hasOwnProperty(id)){nodes[id].edges=[]}}for(id in edges){if(edges.hasOwnProperty(id)){var edge=edges[id];edge.from=null;edge.to=null;edge.connect()}}}},{key:\"getConnectedNodes\",value:function getConnectedNodes(edgeId){var nodeList=[];if(this.body.edges[edgeId]!==undefined){var edge=this.body.edges[edgeId];if(edge.fromId!==undefined){nodeList.push(edge.fromId)}if(edge.toId!==undefined){nodeList.push(edge.toId)}}return nodeList}},{key:\"_updateState\",value:function _updateState(){this._addMissingEdges();this._removeInvalidEdges()}},{key:\"_removeInvalidEdges\",value:function _removeInvalidEdges(){var _this5=this;var edgesToDelete=[];util.forEach(this.body.edges,function(edge,id){var toNode=_this5.body.nodes[edge.toId];var fromNode=_this5.body.nodes[edge.fromId];if(toNode!==undefined&&toNode.isCluster===true||fromNode!==undefined&&fromNode.isCluster===true){return}if(toNode===undefined||fromNode===undefined){edgesToDelete.push(id)}});this.remove(edgesToDelete,false)}},{key:\"_addMissingEdges\",value:function _addMissingEdges(){var edges=this.body.edges;var edgesData=this.body.data.edges;var addIds=[];edgesData.forEach(function(edgeData,edgeId){var edge=edges[edgeId];if(edge===undefined){addIds.push(edgeId)}});this.add(addIds,true)}}]);return EdgesHandler}();exports[\"default\"]=EdgesHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CubicBezierEdgeBase2=__webpack_require__(216);var _CubicBezierEdgeBase3=_interopRequireDefault(_CubicBezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CubicBezierEdge=function(_CubicBezierEdgeBase){(0,_inherits3[\"default\"])(CubicBezierEdge,_CubicBezierEdgeBase);function CubicBezierEdge(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,CubicBezierEdge);return(0,_possibleConstructorReturn3[\"default\"])(this,(CubicBezierEdge.__proto__||(0,_getPrototypeOf2[\"default\"])(CubicBezierEdge)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(CubicBezierEdge,[{key:\"_line\",value:function _line(ctx,values,viaNodes){var via1=viaNodes[0];var via2=viaNodes[1];this._bezierCurve(ctx,values,via1,via2)}},{key:\"_getViaCoordinates\",value:function _getViaCoordinates(){var dx=this.from.x-this.to.x;var dy=this.from.y-this.to.y;var x1=void 0,y1=void 0,x2=void 0,y2=void 0;var roundness=this.options.smooth.roundness;if((Math.abs(dx)>Math.abs(dy)||this.options.smooth.forceDirection===true||this.options.smooth.forceDirection===\"horizontal\")&&this.options.smooth.forceDirection!==\"vertical\"){y1=this.from.y;y2=this.to.y;x1=this.from.x-roundness*dx;x2=this.to.x+roundness*dx}else{y1=this.from.y-roundness*dy;y2=this.to.y+roundness*dy;x1=this.from.x;x2=this.to.x}return[{x:x1,y:y1},{x:x2,y:y2}]}},{key:\"getViaNode\",value:function getViaNode(){return this._getViaCoordinates()}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){return this._findBorderPositionBezier(nearNode,ctx)}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){var _ref=arguments.length>6&&arguments[6]!==undefined?arguments[6]:this._getViaCoordinates(),_ref2=(0,_slicedToArray3[\"default\"])(_ref,2),via1=_ref2[0],via2=_ref2[1];return this._getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,via1,via2)}},{key:\"getPoint\",value:function getPoint(percentage){var _ref3=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this._getViaCoordinates(),_ref4=(0,_slicedToArray3[\"default\"])(_ref3,2),via1=_ref4[0],via2=_ref4[1];var t=percentage;var vec=[];vec[0]=Math.pow(1-t,3);vec[1]=3*t*Math.pow(1-t,2);vec[2]=3*Math.pow(t,2)*(1-t);vec[3]=Math.pow(t,3);var x=vec[0]*this.fromPoint.x+vec[1]*via1.x+vec[2]*via2.x+vec[3]*this.toPoint.x;var y=vec[0]*this.fromPoint.y+vec[1]*via1.y+vec[2]*via2.y+vec[3]*this.toPoint.y;return{x:x,y:y}}}]);return CubicBezierEdge}(_CubicBezierEdgeBase3[\"default\"]);exports[\"default\"]=CubicBezierEdge},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BezierEdgeBase2=__webpack_require__(75);var _BezierEdgeBase3=_interopRequireDefault(_BezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CubicBezierEdgeBase=function(_BezierEdgeBase){(0,_inherits3[\"default\"])(CubicBezierEdgeBase,_BezierEdgeBase);function CubicBezierEdgeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,CubicBezierEdgeBase);return(0,_possibleConstructorReturn3[\"default\"])(this,(CubicBezierEdgeBase.__proto__||(0,_getPrototypeOf2[\"default\"])(CubicBezierEdgeBase)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(CubicBezierEdgeBase,[{key:\"_getDistanceToBezierEdge\",value:function _getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,via1,via2){var minDistance=1e9;var distance=void 0;var i=void 0,t=void 0,x=void 0,y=void 0;var lastX=x1;var lastY=y1;var vec=[0,0,0,0];for(i=1;i<10;i++){t=.1*i;vec[0]=Math.pow(1-t,3);vec[1]=3*t*Math.pow(1-t,2);vec[2]=3*Math.pow(t,2)*(1-t);vec[3]=Math.pow(t,3);x=vec[0]*x1+vec[1]*via1.x+vec[2]*via2.x+vec[3]*x2;y=vec[0]*y1+vec[1]*via1.y+vec[2]*via2.y+vec[3]*y2;if(i>0){distance=this._getDistanceToLine(lastX,lastY,x,y,x3,y3);minDistance=distance<minDistance?distance:minDistance}lastX=x;lastY=y}return minDistance}}]);return CubicBezierEdgeBase}(_BezierEdgeBase3[\"default\"]);exports[\"default\"]=CubicBezierEdgeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BezierEdgeBase2=__webpack_require__(75);var _BezierEdgeBase3=_interopRequireDefault(_BezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BezierEdgeDynamic=function(_BezierEdgeBase){(0,_inherits3[\"default\"])(BezierEdgeDynamic,_BezierEdgeBase);function BezierEdgeDynamic(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,BezierEdgeDynamic);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(BezierEdgeDynamic.__proto__||(0,_getPrototypeOf2[\"default\"])(BezierEdgeDynamic)).call(this,options,body,labelModule));_this._boundFunction=function(){_this.positionBezierNode()};_this.body.emitter.on(\"_repositionBezierNodes\",_this._boundFunction);return _this}(0,_createClass3[\"default\"])(BezierEdgeDynamic,[{key:\"setOptions\",value:function setOptions(options){var physicsChange=false;if(this.options.physics!==options.physics){physicsChange=true}this.options=options;this.id=this.options.id;this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to];this.setupSupportNode();this.connect();if(physicsChange===true){this.via.setOptions({physics:this.options.physics});this.positionBezierNode()}}},{key:\"connect\",value:function connect(){this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to];if(this.from===undefined||this.to===undefined||this.options.physics===false){this.via.setOptions({physics:false})}else{if(this.from.id===this.to.id){this.via.setOptions({physics:false})}else{this.via.setOptions({physics:true})}}}},{key:\"cleanup\",value:function cleanup(){this.body.emitter.off(\"_repositionBezierNodes\",this._boundFunction);if(this.via!==undefined){delete this.body.nodes[this.via.id];this.via=undefined;return true}return false}},{key:\"setupSupportNode\",value:function setupSupportNode(){if(this.via===undefined){var nodeId=\"edgeId:\"+this.id;var node=this.body.functions.createNode({id:nodeId,shape:\"circle\",physics:true,hidden:true});this.body.nodes[nodeId]=node;this.via=node;this.via.parentEdgeId=this.id;this.positionBezierNode()}}},{key:\"positionBezierNode\",value:function positionBezierNode(){if(this.via!==undefined&&this.from!==undefined&&this.to!==undefined){this.via.x=.5*(this.from.x+this.to.x);this.via.y=.5*(this.from.y+this.to.y)}else if(this.via!==undefined){this.via.x=0;this.via.y=0}}},{key:\"_line\",value:function _line(ctx,values,viaNode){this._bezierCurve(ctx,values,viaNode)}},{key:\"getViaNode\",value:function getViaNode(){return this.via}},{key:\"getPoint\",value:function getPoint(percentage){var viaNode=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.via;var t=percentage;var x=void 0,y=void 0;if(this.from===this.to){var _getCircleData=this._getCircleData(this.from),_getCircleData2=(0,_slicedToArray3[\"default\"])(_getCircleData,3),cx=_getCircleData2[0],cy=_getCircleData2[1],cr=_getCircleData2[2];var a=2*Math.PI*(1-t);x=cx+cr*Math.sin(a);y=cy+cr-cr*(1-Math.cos(a))}else{x=Math.pow(1-t,2)*this.fromPoint.x+2*t*(1-t)*viaNode.x+Math.pow(t,2)*this.toPoint.x;y=Math.pow(1-t,2)*this.fromPoint.y+2*t*(1-t)*viaNode.y+Math.pow(t,2)*this.toPoint.y}return{x:x,y:y}}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){return this._findBorderPositionBezier(nearNode,ctx,this.via)}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){return this._getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,this.via)}}]);return BezierEdgeDynamic}(_BezierEdgeBase3[\"default\"]);exports[\"default\"]=BezierEdgeDynamic},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BezierEdgeBase2=__webpack_require__(75);var _BezierEdgeBase3=_interopRequireDefault(_BezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BezierEdgeStatic=function(_BezierEdgeBase){(0,_inherits3[\"default\"])(BezierEdgeStatic,_BezierEdgeBase);function BezierEdgeStatic(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,BezierEdgeStatic);return(0,_possibleConstructorReturn3[\"default\"])(this,(BezierEdgeStatic.__proto__||(0,_getPrototypeOf2[\"default\"])(BezierEdgeStatic)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(BezierEdgeStatic,[{key:\"_line\",value:function _line(ctx,values,viaNode){this._bezierCurve(ctx,values,viaNode)}},{key:\"getViaNode\",value:function getViaNode(){return this._getViaCoordinates()}},{key:\"_getViaCoordinates\",value:function _getViaCoordinates(){var xVia=undefined;var yVia=undefined;var factor=this.options.smooth.roundness;var type=this.options.smooth.type;var dx=Math.abs(this.from.x-this.to.x);var dy=Math.abs(this.from.y-this.to.y);if(type===\"discrete\"||type===\"diagonalCross\"){var stepX=void 0;var stepY=void 0;if(dx<=dy){stepX=stepY=factor*dy}else{stepX=stepY=factor*dx}if(this.from.x>this.to.x)stepX=-stepX;if(this.from.y>=this.to.y)stepY=-stepY;xVia=this.from.x+stepX;yVia=this.from.y+stepY;if(type===\"discrete\"){if(dx<=dy){xVia=dx<factor*dy?this.from.x:xVia}else{yVia=dy<factor*dx?this.from.y:yVia}}}else if(type===\"straightCross\"){var _stepX=(1-factor)*dx;var _stepY=(1-factor)*dy;if(dx<=dy){_stepX=0;if(this.from.y<this.to.y)_stepY=-_stepY}else{if(this.from.x<this.to.x)_stepX=-_stepX;_stepY=0}xVia=this.to.x+_stepX;yVia=this.to.y+_stepY}else if(type===\"horizontal\"){var _stepX2=(1-factor)*dx;if(this.from.x<this.to.x)_stepX2=-_stepX2;xVia=this.to.x+_stepX2;yVia=this.from.y}else if(type===\"vertical\"){var _stepY2=(1-factor)*dy;if(this.from.y<this.to.y)_stepY2=-_stepY2;xVia=this.from.x;yVia=this.to.y+_stepY2}else if(type===\"curvedCW\"){dx=this.to.x-this.from.x;dy=this.from.y-this.to.y;var radius=Math.sqrt(dx*dx+dy*dy);var pi=Math.PI;var originalAngle=Math.atan2(dy,dx);var myAngle=(originalAngle+(factor*.5+.5)*pi)%(2*pi);xVia=this.from.x+(factor*.5+.5)*radius*Math.sin(myAngle);yVia=this.from.y+(factor*.5+.5)*radius*Math.cos(myAngle)}else if(type===\"curvedCCW\"){dx=this.to.x-this.from.x;dy=this.from.y-this.to.y;var _radius=Math.sqrt(dx*dx+dy*dy);var _pi=Math.PI;var _originalAngle=Math.atan2(dy,dx);var _myAngle=(_originalAngle+(-factor*.5+.5)*_pi)%(2*_pi);xVia=this.from.x+(factor*.5+.5)*_radius*Math.sin(_myAngle);yVia=this.from.y+(factor*.5+.5)*_radius*Math.cos(_myAngle)}else{var _stepX3=void 0;var _stepY3=void 0;if(dx<=dy){_stepX3=_stepY3=factor*dy}else{_stepX3=_stepY3=factor*dx}if(this.from.x>this.to.x)_stepX3=-_stepX3;if(this.from.y>=this.to.y)_stepY3=-_stepY3;xVia=this.from.x+_stepX3;yVia=this.from.y+_stepY3;if(dx<=dy){if(this.from.x<=this.to.x){xVia=this.to.x<xVia?this.to.x:xVia}else{xVia=this.to.x>xVia?this.to.x:xVia}}else{if(this.from.y>=this.to.y){yVia=this.to.y>yVia?this.to.y:yVia}else{yVia=this.to.y<yVia?this.to.y:yVia}}}return{x:xVia,y:yVia}}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){var options=arguments.length>2&&arguments[2]!==undefined?arguments[2]:{};return this._findBorderPositionBezier(nearNode,ctx,options.via)}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){var viaNode=arguments.length>6&&arguments[6]!==undefined?arguments[6]:this._getViaCoordinates();return this._getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,viaNode)}},{key:\"getPoint\",value:function getPoint(percentage){var viaNode=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this._getViaCoordinates();var t=percentage;var x=Math.pow(1-t,2)*this.fromPoint.x+2*t*(1-t)*viaNode.x+Math.pow(t,2)*this.toPoint.x;var y=Math.pow(1-t,2)*this.fromPoint.y+2*t*(1-t)*viaNode.y+Math.pow(t,2)*this.toPoint.y;return{x:x,y:y}}}]);return BezierEdgeStatic}(_BezierEdgeBase3[\"default\"]);exports[\"default\"]=BezierEdgeStatic},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _EdgeBase2=__webpack_require__(118);var _EdgeBase3=_interopRequireDefault(_EdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var StraightEdge=function(_EdgeBase){(0,_inherits3[\"default\"])(StraightEdge,_EdgeBase);function StraightEdge(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,StraightEdge);return(0,_possibleConstructorReturn3[\"default\"])(this,(StraightEdge.__proto__||(0,_getPrototypeOf2[\"default\"])(StraightEdge)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(StraightEdge,[{key:\"_line\",value:function _line(ctx,values){ctx.beginPath();ctx.moveTo(this.fromPoint.x,this.fromPoint.y);ctx.lineTo(this.toPoint.x,this.toPoint.y);this.enableShadow(ctx,values);ctx.stroke();this.disableShadow(ctx,values)}},{key:\"getViaNode\",value:function getViaNode(){return undefined}},{key:\"getPoint\",value:function getPoint(percentage){return{x:(1-percentage)*this.fromPoint.x+percentage*this.toPoint.x,y:(1-percentage)*this.fromPoint.y+percentage*this.toPoint.y}}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){var node1=this.to;var node2=this.from;if(nearNode.id===this.from.id){node1=this.from;node2=this.to}var angle=Math.atan2(node1.y-node2.y,node1.x-node2.x);var dx=node1.x-node2.x;var dy=node1.y-node2.y;var edgeSegmentLength=Math.sqrt(dx*dx+dy*dy);var toBorderDist=nearNode.distanceToBorder(ctx,angle);var toBorderPoint=(edgeSegmentLength-toBorderDist)/edgeSegmentLength;var borderPos={};borderPos.x=(1-toBorderPoint)*node2.x+toBorderPoint*node1.x;borderPos.y=(1-toBorderPoint)*node2.y+toBorderPoint*node1.y;return borderPos}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){return this._getDistanceToLine(x1,y1,x2,y2,x3,y3)}}]);return StraightEdge}(_EdgeBase3[\"default\"]);exports[\"default\"]=StraightEdge},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BarnesHutSolver=__webpack_require__(120)[\"default\"];var Repulsion=__webpack_require__(221)[\"default\"];var HierarchicalRepulsion=__webpack_require__(222)[\"default\"];var SpringSolver=__webpack_require__(223)[\"default\"];var HierarchicalSpringSolver=__webpack_require__(224)[\"default\"];var CentralGravitySolver=__webpack_require__(121)[\"default\"];var ForceAtlas2BasedRepulsionSolver=__webpack_require__(225)[\"default\"];var ForceAtlas2BasedCentralGravitySolver=__webpack_require__(226)[\"default\"];var util=__webpack_require__(2);var EndPoints=__webpack_require__(119)[\"default\"];var PhysicsEngine=function(){function PhysicsEngine(body){(0,_classCallCheck3[\"default\"])(this,PhysicsEngine);this.body=body;this.physicsBody={physicsNodeIndices:[],physicsEdgeIndices:[],forces:{},velocities:{}};this.physicsEnabled=true;this.simulationInterval=1e3/60;this.requiresTimeout=true;this.previousStates={};this.referenceState={};this.freezeCache={};this.renderTimer=undefined;this.adaptiveTimestep=false;this.adaptiveTimestepEnabled=false;this.adaptiveCounter=0;this.adaptiveInterval=3;this.stabilized=false;this.startedStabilization=false;this.stabilizationIterations=0;this.ready=false;this.options={};this.defaultOptions={enabled:true,barnesHut:{theta:.5,gravitationalConstant:-2e3,centralGravity:.3,springLength:95,springConstant:.04,damping:.09,avoidOverlap:0},forceAtlas2Based:{theta:.5,gravitationalConstant:-50,centralGravity:.01,springConstant:.08,springLength:100,damping:.4,avoidOverlap:0},repulsion:{centralGravity:.2,springLength:200,springConstant:.05,nodeDistance:100,damping:.09,avoidOverlap:0},hierarchicalRepulsion:{centralGravity:0,springLength:100,springConstant:.01,nodeDistance:120,damping:.09},maxVelocity:50,minVelocity:.75,solver:\"barnesHut\",stabilization:{enabled:true,iterations:1e3,updateInterval:50,onlyDynamicEdges:false,fit:true},timestep:.5,adaptiveTimestep:true};util.extend(this.options,this.defaultOptions);this.timestep=.5;this.layoutFailed=false;this.bindEventListeners()}(0,_createClass3[\"default\"])(PhysicsEngine,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.on(\"initPhysics\",function(){_this.initPhysics()});this.body.emitter.on(\"_layoutFailed\",function(){_this.layoutFailed=true});this.body.emitter.on(\"resetPhysics\",function(){_this.stopSimulation();_this.ready=false});this.body.emitter.on(\"disablePhysics\",function(){_this.physicsEnabled=false;_this.stopSimulation()});this.body.emitter.on(\"restorePhysics\",function(){_this.setOptions(_this.options);if(_this.ready===true){_this.startSimulation()}});this.body.emitter.on(\"startSimulation\",function(){if(_this.ready===true){_this.startSimulation()}});this.body.emitter.on(\"stopSimulation\",function(){_this.stopSimulation()});this.body.emitter.on(\"destroy\",function(){_this.stopSimulation(false);_this.body.emitter.off()});this.body.emitter.on(\"_dataChanged\",function(){_this.updatePhysicsData()})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){if(options===false){this.options.enabled=false;this.physicsEnabled=false;this.stopSimulation()}else if(options===true){this.options.enabled=true;this.physicsEnabled=true;this.startSimulation()}else{this.physicsEnabled=true;util.selectiveNotDeepExtend([\"stabilization\"],this.options,options);util.mergeOptions(this.options,options,\"stabilization\");if(options.enabled===undefined){this.options.enabled=true}if(this.options.enabled===false){this.physicsEnabled=false;this.stopSimulation()}this.timestep=this.options.timestep}}this.init()}},{key:\"init\",value:function init(){var options;if(this.options.solver===\"forceAtlas2Based\"){options=this.options.forceAtlas2Based;this.nodesSolver=new ForceAtlas2BasedRepulsionSolver(this.body,this.physicsBody,options);this.edgesSolver=new SpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new ForceAtlas2BasedCentralGravitySolver(this.body,this.physicsBody,options)}else if(this.options.solver===\"repulsion\"){options=this.options.repulsion;this.nodesSolver=new Repulsion(this.body,this.physicsBody,options);this.edgesSolver=new SpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new CentralGravitySolver(this.body,this.physicsBody,options)}else if(this.options.solver===\"hierarchicalRepulsion\"){options=this.options.hierarchicalRepulsion;this.nodesSolver=new HierarchicalRepulsion(this.body,this.physicsBody,options);this.edgesSolver=new HierarchicalSpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new CentralGravitySolver(this.body,this.physicsBody,options)}else{options=this.options.barnesHut;this.nodesSolver=new BarnesHutSolver(this.body,this.physicsBody,options);this.edgesSolver=new SpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new CentralGravitySolver(this.body,this.physicsBody,options)}this.modelOptions=options}},{key:\"initPhysics\",value:function initPhysics(){if(this.physicsEnabled===true&&this.options.enabled===true){if(this.options.stabilization.enabled===true){this.stabilize()}else{this.stabilized=false;this.ready=true;this.body.emitter.emit(\"fit\",{},this.layoutFailed);this.startSimulation()}}else{this.ready=true;this.body.emitter.emit(\"fit\")}}},{key:\"startSimulation\",value:function startSimulation(){if(this.physicsEnabled===true&&this.options.enabled===true){this.stabilized=false;this.adaptiveTimestep=false;this.body.emitter.emit(\"_resizeNodes\");if(this.viewFunction===undefined){this.viewFunction=this.simulationStep.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction);this.body.emitter.emit(\"_startRendering\")}}else{this.body.emitter.emit(\"_redraw\")}}},{key:\"stopSimulation\",value:function stopSimulation(){var emit=arguments.length>0&&arguments[0]!==undefined?arguments[0]:true;this.stabilized=true;if(emit===true){this._emitStabilized()}if(this.viewFunction!==undefined){this.body.emitter.off(\"initRedraw\",this.viewFunction);this.viewFunction=undefined;if(emit===true){this.body.emitter.emit(\"_stopRendering\")}}}},{key:\"simulationStep\",value:function simulationStep(){var startTime=Date.now();this.physicsTick();var physicsTime=Date.now()-startTime;if((physicsTime<.4*this.simulationInterval||this.runDoubleSpeed===true)&&this.stabilized===false){this.physicsTick();this.runDoubleSpeed=true}if(this.stabilized===true){this.stopSimulation()}}},{key:\"_emitStabilized\",value:function _emitStabilized(){var _this2=this;var amountOfIterations=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.stabilizationIterations;if(this.stabilizationIterations>1||this.startedStabilization===true){setTimeout(function(){_this2.body.emitter.emit(\"stabilized\",{iterations:amountOfIterations});_this2.startedStabilization=false;_this2.stabilizationIterations=0},0)}}},{key:\"physicsStep\",value:function physicsStep(){this.gravitySolver.solve();this.nodesSolver.solve();this.edgesSolver.solve();this.moveNodes()}},{key:\"adjustTimeStep\",value:function adjustTimeStep(){var factor=1.2;if(this._evaluateStepQuality()===true){this.timestep=factor*this.timestep}else{if(this.timestep/factor<this.options.timestep){this.timestep=this.options.timestep}else{this.adaptiveCounter=-1;this.timestep=Math.max(this.options.timestep,this.timestep/factor)}}}},{key:\"physicsTick\",value:function physicsTick(){this._startStabilizing();if(this.stabilized===true)return;if(this.adaptiveTimestep===true&&this.adaptiveTimestepEnabled===true){var doAdaptive=this.adaptiveCounter%this.adaptiveInterval===0;if(doAdaptive){this.timestep=2*this.timestep;this.physicsStep();this.revert();this.timestep=.5*this.timestep;this.physicsStep();this.physicsStep();this.adjustTimeStep()}else{this.physicsStep()}this.adaptiveCounter+=1}else{this.timestep=this.options.timestep;this.physicsStep()}\nif(this.stabilized===true)this.revert();this.stabilizationIterations++}},{key:\"updatePhysicsData\",value:function updatePhysicsData(){this.physicsBody.forces={};this.physicsBody.physicsNodeIndices=[];this.physicsBody.physicsEdgeIndices=[];var nodes=this.body.nodes;var edges=this.body.edges;for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){if(nodes[nodeId].options.physics===true){this.physicsBody.physicsNodeIndices.push(nodes[nodeId].id)}}}for(var edgeId in edges){if(edges.hasOwnProperty(edgeId)){if(edges[edgeId].options.physics===true){this.physicsBody.physicsEdgeIndices.push(edges[edgeId].id)}}}for(var i=0;i<this.physicsBody.physicsNodeIndices.length;i++){var _nodeId=this.physicsBody.physicsNodeIndices[i];this.physicsBody.forces[_nodeId]={x:0,y:0};if(this.physicsBody.velocities[_nodeId]===undefined){this.physicsBody.velocities[_nodeId]={x:0,y:0}}}for(var _nodeId2 in this.physicsBody.velocities){if(nodes[_nodeId2]===undefined){delete this.physicsBody.velocities[_nodeId2]}}}},{key:\"revert\",value:function revert(){var nodeIds=(0,_keys2[\"default\"])(this.previousStates);var nodes=this.body.nodes;var velocities=this.physicsBody.velocities;this.referenceState={};for(var i=0;i<nodeIds.length;i++){var nodeId=nodeIds[i];if(nodes[nodeId]!==undefined){if(nodes[nodeId].options.physics===true){this.referenceState[nodeId]={positions:{x:nodes[nodeId].x,y:nodes[nodeId].y}};velocities[nodeId].x=this.previousStates[nodeId].vx;velocities[nodeId].y=this.previousStates[nodeId].vy;nodes[nodeId].x=this.previousStates[nodeId].x;nodes[nodeId].y=this.previousStates[nodeId].y}}else{delete this.previousStates[nodeId]}}}},{key:\"_evaluateStepQuality\",value:function _evaluateStepQuality(){var dx=void 0,dy=void 0,dpos=void 0;var nodes=this.body.nodes;var reference=this.referenceState;var posThreshold=.3;for(var nodeId in this.referenceState){if(this.referenceState.hasOwnProperty(nodeId)&&nodes[nodeId]!==undefined){dx=nodes[nodeId].x-reference[nodeId].positions.x;dy=nodes[nodeId].y-reference[nodeId].positions.y;dpos=Math.sqrt(Math.pow(dx,2)+Math.pow(dy,2));if(dpos>posThreshold){return false}}}return true}},{key:\"moveNodes\",value:function moveNodes(){var nodeIndices=this.physicsBody.physicsNodeIndices;var maxNodeVelocity=0;var averageNodeVelocity=0;var velocityAdaptiveThreshold=5;for(var i=0;i<nodeIndices.length;i++){var nodeId=nodeIndices[i];var nodeVelocity=this._performStep(nodeId);maxNodeVelocity=Math.max(maxNodeVelocity,nodeVelocity);averageNodeVelocity+=nodeVelocity}this.adaptiveTimestepEnabled=averageNodeVelocity/nodeIndices.length<velocityAdaptiveThreshold;this.stabilized=maxNodeVelocity<this.options.minVelocity}},{key:\"calculateComponentVelocity\",value:function calculateComponentVelocity(v,f,m){var df=this.modelOptions.damping*v;var a=(f-df)/m;v+=a*this.timestep;var maxV=this.options.maxVelocity||1e9;if(Math.abs(v)>maxV){v=v>0?maxV:-maxV}return v}},{key:\"_performStep\",value:function _performStep(nodeId){var node=this.body.nodes[nodeId];var force=this.physicsBody.forces[nodeId];var velocity=this.physicsBody.velocities[nodeId];this.previousStates[nodeId]={x:node.x,y:node.y,vx:velocity.x,vy:velocity.y};if(node.options.fixed.x===false){velocity.x=this.calculateComponentVelocity(velocity.x,force.x,node.options.mass);node.x+=velocity.x*this.timestep}else{force.x=0;velocity.x=0}if(node.options.fixed.y===false){velocity.y=this.calculateComponentVelocity(velocity.y,force.y,node.options.mass);node.y+=velocity.y*this.timestep}else{force.y=0;velocity.y=0}var totalVelocity=Math.sqrt(Math.pow(velocity.x,2)+Math.pow(velocity.y,2));return totalVelocity}},{key:\"_freezeNodes\",value:function _freezeNodes(){var nodes=this.body.nodes;for(var id in nodes){if(nodes.hasOwnProperty(id)){if(nodes[id].x&&nodes[id].y){var fixed=nodes[id].options.fixed;this.freezeCache[id]={x:fixed.x,y:fixed.y};fixed.x=true;fixed.y=true}}}}},{key:\"_restoreFrozenNodes\",value:function _restoreFrozenNodes(){var nodes=this.body.nodes;for(var id in nodes){if(nodes.hasOwnProperty(id)){if(this.freezeCache[id]!==undefined){nodes[id].options.fixed.x=this.freezeCache[id].x;nodes[id].options.fixed.y=this.freezeCache[id].y}}}this.freezeCache={}}},{key:\"stabilize\",value:function stabilize(){var _this3=this;var iterations=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.options.stabilization.iterations;if(typeof iterations!==\"number\"){iterations=this.options.stabilization.iterations;console.log(\"The stabilize method needs a numeric amount of iterations. Switching to default: \",iterations)}if(this.physicsBody.physicsNodeIndices.length===0){this.ready=true;return}this.adaptiveTimestep=true&&this.options.adaptiveTimestep;this.body.emitter.emit(\"_resizeNodes\");this.stopSimulation();this.stabilized=false;this.body.emitter.emit(\"_blockRedraw\");this.targetIterations=iterations;if(this.options.stabilization.onlyDynamicEdges===true){this._freezeNodes()}this.stabilizationIterations=0;setTimeout(function(){return _this3._stabilizationBatch()},0)}},{key:\"_startStabilizing\",value:function _startStabilizing(){if(this.startedStabilization===true)return false;this.body.emitter.emit(\"startStabilizing\");this.startedStabilization=true;return true}},{key:\"_stabilizationBatch\",value:function _stabilizationBatch(){var _this4=this;var running=function running(){return _this4.stabilized===false&&_this4.stabilizationIterations<_this4.targetIterations};var sendProgress=function sendProgress(){_this4.body.emitter.emit(\"stabilizationProgress\",{iterations:_this4.stabilizationIterations,total:_this4.targetIterations})};if(this._startStabilizing()){sendProgress()}var count=0;while(running()&&count<this.options.stabilization.updateInterval){this.physicsTick();count++}sendProgress();if(running()){setTimeout(this._stabilizationBatch.bind(this),0)}else{this._finalizeStabilization()}}},{key:\"_finalizeStabilization\",value:function _finalizeStabilization(){this.body.emitter.emit(\"_allowRedraw\");if(this.options.stabilization.fit===true){this.body.emitter.emit(\"fit\")}if(this.options.stabilization.onlyDynamicEdges===true){this._restoreFrozenNodes()}this.body.emitter.emit(\"stabilizationIterationsDone\");this.body.emitter.emit(\"_requestRedraw\");if(this.stabilized===true){this._emitStabilized()}else{this.startSimulation()}this.ready=true}},{key:\"_drawForces\",value:function _drawForces(ctx){for(var i=0;i<this.physicsBody.physicsNodeIndices.length;i++){var index=this.physicsBody.physicsNodeIndices[i];var node=this.body.nodes[index];var force=this.physicsBody.forces[index];var factor=20;var colorFactor=.03;var forceSize=Math.sqrt(Math.pow(force.x,2)+Math.pow(force.x,2));var size=Math.min(Math.max(5,forceSize),15);var arrowSize=3*size;var color=util.HSVToHex((180-Math.min(1,Math.max(0,colorFactor*forceSize))*180)/360,1,1);var point={x:node.x+factor*force.x,y:node.y+factor*force.y};ctx.lineWidth=size;ctx.strokeStyle=color;ctx.beginPath();ctx.moveTo(node.x,node.y);ctx.lineTo(point.x,point.y);ctx.stroke();var angle=Math.atan2(force.y,force.x);ctx.fillStyle=color;EndPoints.draw(ctx,{type:\"arrow\",point:point,angle:angle,length:arrowSize});ctx.fill()}}}]);return PhysicsEngine}();exports[\"default\"]=PhysicsEngine},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var RepulsionSolver=function(){function RepulsionSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,RepulsionSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(RepulsionSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var dx,dy,distance,fx,fy,repulsingForce,node1,node2;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;var nodeDistance=this.options.nodeDistance;var a=-2/3/nodeDistance;var b=4/3;for(var i=0;i<nodeIndices.length-1;i++){node1=nodes[nodeIndices[i]];for(var j=i+1;j<nodeIndices.length;j++){node2=nodes[nodeIndices[j]];dx=node2.x-node1.x;dy=node2.y-node1.y;distance=Math.sqrt(dx*dx+dy*dy);if(distance===0){distance=.1*Math.random();dx=distance}if(distance<2*nodeDistance){if(distance<.5*nodeDistance){repulsingForce=1}else{repulsingForce=a*distance+b}repulsingForce=repulsingForce/distance;fx=dx*repulsingForce;fy=dy*repulsingForce;forces[node1.id].x-=fx;forces[node1.id].y-=fy;forces[node2.id].x+=fx;forces[node2.id].y+=fy}}}}}]);return RepulsionSolver}();exports[\"default\"]=RepulsionSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var HierarchicalRepulsionSolver=function(){function HierarchicalRepulsionSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,HierarchicalRepulsionSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(HierarchicalRepulsionSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var dx,dy,distance,fx,fy,repulsingForce,node1,node2,i,j;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;var nodeDistance=this.options.nodeDistance;for(i=0;i<nodeIndices.length-1;i++){node1=nodes[nodeIndices[i]];for(j=i+1;j<nodeIndices.length;j++){node2=nodes[nodeIndices[j]];if(node1.level===node2.level){dx=node2.x-node1.x;dy=node2.y-node1.y;distance=Math.sqrt(dx*dx+dy*dy);var steepness=.05;if(distance<nodeDistance){repulsingForce=-Math.pow(steepness*distance,2)+Math.pow(steepness*nodeDistance,2)}else{repulsingForce=0}if(distance===0){distance=.01}else{repulsingForce=repulsingForce/distance}fx=dx*repulsingForce;fy=dy*repulsingForce;forces[node1.id].x-=fx;forces[node1.id].y-=fy;forces[node2.id].x+=fx;forces[node2.id].y+=fy}}}}}]);return HierarchicalRepulsionSolver}();exports[\"default\"]=HierarchicalRepulsionSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var SpringSolver=function(){function SpringSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,SpringSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(SpringSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var edgeLength=void 0,edge=void 0;var edgeIndices=this.physicsBody.physicsEdgeIndices;var edges=this.body.edges;var node1=void 0,node2=void 0,node3=void 0;for(var i=0;i<edgeIndices.length;i++){edge=edges[edgeIndices[i]];if(edge.connected===true&&edge.toId!==edge.fromId){if(this.body.nodes[edge.toId]!==undefined&&this.body.nodes[edge.fromId]!==undefined){if(edge.edgeType.via!==undefined){edgeLength=edge.options.length===undefined?this.options.springLength:edge.options.length;node1=edge.to;node2=edge.edgeType.via;node3=edge.from;this._calculateSpringForce(node1,node2,.5*edgeLength);this._calculateSpringForce(node2,node3,.5*edgeLength)}else{edgeLength=edge.options.length===undefined?this.options.springLength*1.5:edge.options.length;this._calculateSpringForce(edge.from,edge.to,edgeLength)}}}}}},{key:\"_calculateSpringForce\",value:function _calculateSpringForce(node1,node2,edgeLength){var dx=node1.x-node2.x;var dy=node1.y-node2.y;var distance=Math.max(Math.sqrt(dx*dx+dy*dy),.01);var springForce=this.options.springConstant*(edgeLength-distance)/distance;var fx=dx*springForce;var fy=dy*springForce;if(this.physicsBody.forces[node1.id]!==undefined){this.physicsBody.forces[node1.id].x+=fx;this.physicsBody.forces[node1.id].y+=fy}if(this.physicsBody.forces[node2.id]!==undefined){this.physicsBody.forces[node2.id].x-=fx;this.physicsBody.forces[node2.id].y-=fy}}}]);return SpringSolver}();exports[\"default\"]=SpringSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var HierarchicalSpringSolver=function(){function HierarchicalSpringSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,HierarchicalSpringSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(HierarchicalSpringSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var edgeLength,edge;var dx,dy,fx,fy,springForce,distance;var edges=this.body.edges;var factor=.5;var edgeIndices=this.physicsBody.physicsEdgeIndices;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;for(var i=0;i<nodeIndices.length;i++){var nodeId=nodeIndices[i];forces[nodeId].springFx=0;forces[nodeId].springFy=0}for(var _i=0;_i<edgeIndices.length;_i++){edge=edges[edgeIndices[_i]];if(edge.connected===true){edgeLength=edge.options.length===undefined?this.options.springLength:edge.options.length;dx=edge.from.x-edge.to.x;dy=edge.from.y-edge.to.y;distance=Math.sqrt(dx*dx+dy*dy);distance=distance===0?.01:distance;springForce=this.options.springConstant*(edgeLength-distance)/distance;fx=dx*springForce;fy=dy*springForce;if(edge.to.level!=edge.from.level){if(forces[edge.toId]!==undefined){forces[edge.toId].springFx-=fx;forces[edge.toId].springFy-=fy}if(forces[edge.fromId]!==undefined){forces[edge.fromId].springFx+=fx;forces[edge.fromId].springFy+=fy}}else{if(forces[edge.toId]!==undefined){forces[edge.toId].x-=factor*fx;forces[edge.toId].y-=factor*fy}if(forces[edge.fromId]!==undefined){forces[edge.fromId].x+=factor*fx;forces[edge.fromId].y+=factor*fy}}}}springForce=1;var springFx,springFy;for(var _i2=0;_i2<nodeIndices.length;_i2++){var _nodeId=nodeIndices[_i2];springFx=Math.min(springForce,Math.max(-springForce,forces[_nodeId].springFx));springFy=Math.min(springForce,Math.max(-springForce,forces[_nodeId].springFy));forces[_nodeId].x+=springFx;forces[_nodeId].y+=springFy}var totalFx=0;var totalFy=0;for(var _i3=0;_i3<nodeIndices.length;_i3++){var _nodeId2=nodeIndices[_i3];totalFx+=forces[_nodeId2].x;totalFy+=forces[_nodeId2].y}var correctionFx=totalFx/nodeIndices.length;var correctionFy=totalFy/nodeIndices.length;for(var _i4=0;_i4<nodeIndices.length;_i4++){var _nodeId3=nodeIndices[_i4];forces[_nodeId3].x-=correctionFx;forces[_nodeId3].y-=correctionFy}}}]);return HierarchicalSpringSolver}();exports[\"default\"]=HierarchicalSpringSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BarnesHutSolver2=__webpack_require__(120);var _BarnesHutSolver3=_interopRequireDefault(_BarnesHutSolver2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var ForceAtlas2BasedRepulsionSolver=function(_BarnesHutSolver){(0,_inherits3[\"default\"])(ForceAtlas2BasedRepulsionSolver,_BarnesHutSolver);function ForceAtlas2BasedRepulsionSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,ForceAtlas2BasedRepulsionSolver);return(0,_possibleConstructorReturn3[\"default\"])(this,(ForceAtlas2BasedRepulsionSolver.__proto__||(0,_getPrototypeOf2[\"default\"])(ForceAtlas2BasedRepulsionSolver)).call(this,body,physicsBody,options))}(0,_createClass3[\"default\"])(ForceAtlas2BasedRepulsionSolver,[{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,node,parentBranch){if(distance===0){distance=.1*Math.random();dx=distance}if(this.overlapAvoidanceFactor<1&&node.shape.radius){distance=Math.max(.1+this.overlapAvoidanceFactor*node.shape.radius,distance-node.shape.radius)}var degree=node.edges.length+1;var gravityForce=this.options.gravitationalConstant*parentBranch.mass*node.options.mass*degree/Math.pow(distance,2);var fx=dx*gravityForce;var fy=dy*gravityForce;this.physicsBody.forces[node.id].x+=fx;this.physicsBody.forces[node.id].y+=fy}}]);return ForceAtlas2BasedRepulsionSolver}(_BarnesHutSolver3[\"default\"]);exports[\"default\"]=ForceAtlas2BasedRepulsionSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CentralGravitySolver2=__webpack_require__(121);var _CentralGravitySolver3=_interopRequireDefault(_CentralGravitySolver2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var ForceAtlas2BasedCentralGravitySolver=function(_CentralGravitySolver){(0,_inherits3[\"default\"])(ForceAtlas2BasedCentralGravitySolver,_CentralGravitySolver);function ForceAtlas2BasedCentralGravitySolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,ForceAtlas2BasedCentralGravitySolver);return(0,_possibleConstructorReturn3[\"default\"])(this,(ForceAtlas2BasedCentralGravitySolver.__proto__||(0,_getPrototypeOf2[\"default\"])(ForceAtlas2BasedCentralGravitySolver)).call(this,body,physicsBody,options))}(0,_createClass3[\"default\"])(ForceAtlas2BasedCentralGravitySolver,[{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,forces,node){if(distance>0){var degree=node.edges.length+1;var gravityForce=this.options.centralGravity*degree*node.options.mass;forces[node.id].x=dx*gravityForce;forces[node.id].y=dy*gravityForce}}}]);return ForceAtlas2BasedCentralGravitySolver}(_CentralGravitySolver3[\"default\"]);exports[\"default\"]=ForceAtlas2BasedCentralGravitySolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=__webpack_require__(76)[\"default\"];var Cluster=__webpack_require__(228)[\"default\"];var Edge=__webpack_require__(74)[\"default\"];var Node=__webpack_require__(47)[\"default\"];var ClusterEngine=function(){function ClusterEngine(body){var _this=this;(0,_classCallCheck3[\"default\"])(this,ClusterEngine);this.body=body;this.clusteredNodes={};this.clusteredEdges={};this.options={};this.defaultOptions={};util.extend(this.options,this.defaultOptions);this.body.emitter.on(\"_resetData\",function(){_this.clusteredNodes={};_this.clusteredEdges={}})}(0,_createClass3[\"default\"])(ClusterEngine,[{key:\"clusterByHubsize\",value:function clusterByHubsize(hubsize,options){if(hubsize===undefined){hubsize=this._getHubSize()}else if((typeof hubsize===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(hubsize))===\"object\"){options=this._checkOptions(hubsize);hubsize=this._getHubSize()}var nodesToCluster=[];for(var i=0;i<this.body.nodeIndices.length;i++){var node=this.body.nodes[this.body.nodeIndices[i]];if(node.edges.length>=hubsize){nodesToCluster.push(node.id)}}for(var _i=0;_i<nodesToCluster.length;_i++){this.clusterByConnection(nodesToCluster[_i],options,true)}this.body.emitter.emit(\"_dataChanged\")}},{key:\"cluster\",value:function cluster(){var _this2=this;var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};var refreshData=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(options.joinCondition===undefined){throw new Error(\"Cannot call clusterByNodeData without a joinCondition function in the options.\")}options=this._checkOptions(options);var childNodesObj={};var childEdgesObj={};util.forEach(this.body.nodes,function(node,nodeId){var clonedOptions=NetworkUtil.cloneOptions(node);if(options.joinCondition(clonedOptions)===true){childNodesObj[nodeId]=node;util.forEach(node.edges,function(edge){if(_this2.clusteredEdges[edge.id]===undefined){childEdgesObj[edge.id]=edge}})}});this._cluster(childNodesObj,childEdgesObj,options,refreshData)}},{key:\"clusterByEdgeCount\",value:function clusterByEdgeCount(edgeCount,options){var _this3=this;var refreshData=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;options=this._checkOptions(options);var clusters=[];var usedNodes={};var edge=void 0,edges=void 0,relevantEdgeCount=void 0;var _loop=function _loop(i){var childNodesObj={};var childEdgesObj={};var nodeId=_this3.body.nodeIndices[i];var node=_this3.body.nodes[nodeId];if(usedNodes[nodeId]===undefined){relevantEdgeCount=0;edges=[];for(var j=0;j<node.edges.length;j++){edge=node.edges[j];if(_this3.clusteredEdges[edge.id]===undefined){if(edge.toId!==edge.fromId){relevantEdgeCount++}edges.push(edge)}}if(relevantEdgeCount===edgeCount){checkJoinCondition=function checkJoinCondition(node){if(options.joinCondition===undefined||options.joinCondition===null){return true}var clonedOptions=NetworkUtil.cloneOptions(node);return options.joinCondition(clonedOptions)};var gatheringSuccessful=true;for(var _j=0;_j<edges.length;_j++){edge=edges[_j];var childNodeId=_this3._getConnectedId(edge,nodeId);if(checkJoinCondition(node)){childEdgesObj[edge.id]=edge;childNodesObj[nodeId]=node;childNodesObj[childNodeId]=_this3.body.nodes[childNodeId];usedNodes[nodeId]=true}else{gatheringSuccessful=false;break}}if((0,_keys2[\"default\"])(childNodesObj).length>0&&(0,_keys2[\"default\"])(childEdgesObj).length>0&&gatheringSuccessful===true){findClusterData=function findClusterData(){for(var n=0;n<clusters.length;++n){for(var m in childNodesObj){if(clusters[n].nodes[m]!==undefined){return clusters[n]}}}return undefined};foundCluster=findClusterData();if(foundCluster!==undefined){for(var m in childNodesObj){if(foundCluster.nodes[m]===undefined){foundCluster.nodes[m]=childNodesObj[m]}}for(var _m in childEdgesObj){if(foundCluster.edges[_m]===undefined){foundCluster.edges[_m]=childEdgesObj[_m]}}}else{clusters.push({nodes:childNodesObj,edges:childEdgesObj})}}}}};for(var i=0;i<this.body.nodeIndices.length;i++){var checkJoinCondition;var findClusterData;var foundCluster;_loop(i)}for(var i=0;i<clusters.length;i++){this._cluster(clusters[i].nodes,clusters[i].edges,options,false)}if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"clusterOutliers\",value:function clusterOutliers(options){var refreshData=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;this.clusterByEdgeCount(1,options,refreshData)}},{key:\"clusterBridges\",value:function clusterBridges(options){var refreshData=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;this.clusterByEdgeCount(2,options,refreshData)}},{key:\"clusterByConnection\",value:function clusterByConnection(nodeId,options){var refreshData=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;if(nodeId===undefined){throw new Error(\"No nodeId supplied to clusterByConnection!\")}if(this.body.nodes[nodeId]===undefined){throw new Error(\"The nodeId given to clusterByConnection does not exist!\")}var node=this.body.nodes[nodeId];options=this._checkOptions(options,node);if(options.clusterNodeProperties.x===undefined){options.clusterNodeProperties.x=node.x}if(options.clusterNodeProperties.y===undefined){options.clusterNodeProperties.y=node.y}if(options.clusterNodeProperties.fixed===undefined){options.clusterNodeProperties.fixed={};options.clusterNodeProperties.fixed.x=node.options.fixed.x;options.clusterNodeProperties.fixed.y=node.options.fixed.y}var childNodesObj={};var childEdgesObj={};var parentNodeId=node.id;var parentClonedOptions=NetworkUtil.cloneOptions(node);childNodesObj[parentNodeId]=node;for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];if(this.clusteredEdges[edge.id]===undefined){var childNodeId=this._getConnectedId(edge,parentNodeId);if(this.clusteredNodes[childNodeId]===undefined){if(childNodeId!==parentNodeId){if(options.joinCondition===undefined){childEdgesObj[edge.id]=edge;childNodesObj[childNodeId]=this.body.nodes[childNodeId]}else{var childClonedOptions=NetworkUtil.cloneOptions(this.body.nodes[childNodeId]);if(options.joinCondition(parentClonedOptions,childClonedOptions)===true){childEdgesObj[edge.id]=edge;childNodesObj[childNodeId]=this.body.nodes[childNodeId]}}}else{childEdgesObj[edge.id]=edge}}}}var childNodeIDs=(0,_keys2[\"default\"])(childNodesObj).map(function(childNode){return childNodesObj[childNode].id});for(childNode in childNodesObj){if(!childNodesObj.hasOwnProperty(childNode))continue;var childNode=childNodesObj[childNode];for(var y=0;y<childNode.edges.length;y++){var childEdge=childNode.edges[y];if(childNodeIDs.indexOf(this._getConnectedId(childEdge,childNode.id))>-1){childEdgesObj[childEdge.id]=childEdge}}}this._cluster(childNodesObj,childEdgesObj,options,refreshData)}},{key:\"_createClusterEdges\",value:function _createClusterEdges(childNodesObj,childEdgesObj,clusterNodeProperties,clusterEdgeProperties){var edge=void 0,childNodeId=void 0,childNode=void 0,toId=void 0,fromId=void 0,otherNodeId=void 0;var childKeys=(0,_keys2[\"default\"])(childNodesObj);var createEdges=[];for(var i=0;i<childKeys.length;i++){childNodeId=childKeys[i];childNode=childNodesObj[childNodeId];for(var j=0;j<childNode.edges.length;j++){edge=childNode.edges[j];if(this.clusteredEdges[edge.id]===undefined){if(edge.toId==edge.fromId){childEdgesObj[edge.id]=edge}else{if(edge.toId==childNodeId){toId=clusterNodeProperties.id;fromId=edge.fromId;otherNodeId=fromId}else{toId=edge.toId;fromId=clusterNodeProperties.id;otherNodeId=toId}}if(childNodesObj[otherNodeId]===undefined){createEdges.push({edge:edge,fromId:fromId,toId:toId})}}}}var newEdges=[];var getNewEdge=function getNewEdge(createdEdge){for(var _j2=0;_j2<newEdges.length;_j2++){var newEdge=newEdges[_j2];var matchToDirection=createdEdge.fromId===newEdge.fromId&&createdEdge.toId===newEdge.toId;var matchFromDirection=createdEdge.fromId===newEdge.toId&&createdEdge.toId===newEdge.fromId;if(matchToDirection||matchFromDirection){return newEdge}}return null};for(var _j3=0;_j3<createEdges.length;_j3++){var createdEdge=createEdges[_j3];var _edge=createdEdge.edge;var newEdge=getNewEdge(createdEdge);if(newEdge===null){newEdge=this._createClusteredEdge(createdEdge.fromId,createdEdge.toId,_edge,clusterEdgeProperties);newEdges.push(newEdge)}else{newEdge.clusteringEdgeReplacingIds.push(_edge.id)}this.body.edges[_edge.id].edgeReplacedById=newEdge.id;this._backupEdgeOptions(_edge);_edge.setOptions({physics:false})}}},{key:\"_checkOptions\",value:function _checkOptions(){var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};if(options.clusterEdgeProperties===undefined){options.clusterEdgeProperties={}}if(options.clusterNodeProperties===undefined){options.clusterNodeProperties={}}return options}},{key:\"_cluster\",value:function _cluster(childNodesObj,childEdgesObj,options){var refreshData=arguments.length>3&&arguments[3]!==undefined?arguments[3]:true;var tmpNodesToRemove=[];for(var _nodeId in childNodesObj){if(childNodesObj.hasOwnProperty(_nodeId)){if(this.clusteredNodes[_nodeId]!==undefined){tmpNodesToRemove.push(_nodeId)}}}for(var n=0;n<tmpNodesToRemove.length;++n){delete childNodesObj[tmpNodesToRemove[n]]}if((0,_keys2[\"default\"])(childNodesObj).length==0){return}if((0,_keys2[\"default\"])(childNodesObj).length==1&&options.clusterNodeProperties.allowSingleNodeCluster!=true){return}var clusterNodeProperties=util.deepExtend({},options.clusterNodeProperties);if(options.processProperties!==undefined){var childNodesOptions=[];for(var _nodeId2 in childNodesObj){if(childNodesObj.hasOwnProperty(_nodeId2)){var clonedOptions=NetworkUtil.cloneOptions(childNodesObj[_nodeId2]);childNodesOptions.push(clonedOptions)}}var childEdgesOptions=[];for(var edgeId in childEdgesObj){if(childEdgesObj.hasOwnProperty(edgeId)){if(edgeId.substr(0,12)!==\"clusterEdge:\"){var _clonedOptions=NetworkUtil.cloneOptions(childEdgesObj[edgeId],\"edge\");childEdgesOptions.push(_clonedOptions)}}}clusterNodeProperties=options.processProperties(clusterNodeProperties,childNodesOptions,childEdgesOptions);if(!clusterNodeProperties){throw new Error(\"The processProperties function does not return properties!\")}}if(clusterNodeProperties.id===undefined){clusterNodeProperties.id=\"cluster:\"+util.randomUUID()}var clusterId=clusterNodeProperties.id;if(clusterNodeProperties.label===undefined){clusterNodeProperties.label=\"cluster\"}var pos=undefined;if(clusterNodeProperties.x===undefined){pos=this._getClusterPosition(childNodesObj);clusterNodeProperties.x=pos.x}if(clusterNodeProperties.y===undefined){if(pos===undefined){pos=this._getClusterPosition(childNodesObj)}clusterNodeProperties.y=pos.y}clusterNodeProperties.id=clusterId;var clusterNode=this.body.functions.createNode(clusterNodeProperties,Cluster);clusterNode.containedNodes=childNodesObj;clusterNode.containedEdges=childEdgesObj;clusterNode.clusterEdgeProperties=options.clusterEdgeProperties;this.body.nodes[clusterNodeProperties.id]=clusterNode;this._clusterEdges(childNodesObj,childEdgesObj,clusterNodeProperties,options.clusterEdgeProperties);clusterNodeProperties.id=undefined;if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"_backupEdgeOptions\",value:function _backupEdgeOptions(edge){if(this.clusteredEdges[edge.id]===undefined){this.clusteredEdges[edge.id]={physics:edge.options.physics}}}},{key:\"_restoreEdge\",value:function _restoreEdge(edge){var originalOptions=this.clusteredEdges[edge.id];if(originalOptions!==undefined){edge.setOptions({physics:originalOptions.physics});delete this.clusteredEdges[edge.id]}}},{key:\"isCluster\",value:function isCluster(nodeId){if(this.body.nodes[nodeId]!==undefined){return this.body.nodes[nodeId].isCluster===true}else{console.log(\"Node does not exist.\");return false}}},{key:\"_getClusterPosition\",value:function _getClusterPosition(childNodesObj){var childKeys=(0,_keys2[\"default\"])(childNodesObj);var minX=childNodesObj[childKeys[0]].x;var maxX=childNodesObj[childKeys[0]].x;var minY=childNodesObj[childKeys[0]].y;var maxY=childNodesObj[childKeys[0]].y;var node=void 0;for(var i=1;i<childKeys.length;i++){node=childNodesObj[childKeys[i]];minX=node.x<minX?node.x:minX;maxX=node.x>maxX?node.x:maxX\n;minY=node.y<minY?node.y:minY;maxY=node.y>maxY?node.y:maxY}return{x:.5*(minX+maxX),y:.5*(minY+maxY)}}},{key:\"openCluster\",value:function openCluster(clusterNodeId,options){var refreshData=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;if(clusterNodeId===undefined){throw new Error(\"No clusterNodeId supplied to openCluster.\")}var clusterNode=this.body.nodes[clusterNodeId];if(clusterNode===undefined){throw new Error(\"The clusterNodeId supplied to openCluster does not exist.\")}if(clusterNode.isCluster!==true||clusterNode.containedNodes===undefined||clusterNode.containedEdges===undefined){throw new Error(\"The node:\"+clusterNodeId+\" is not a valid cluster.\")}var stack=this.findNode(clusterNodeId);var parentIndex=stack.indexOf(clusterNodeId)-1;if(parentIndex>=0){var parentClusterNodeId=stack[parentIndex];var parentClusterNode=this.body.nodes[parentClusterNodeId];parentClusterNode._openChildCluster(clusterNodeId);delete this.body.nodes[clusterNodeId];if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}return}var containedNodes=clusterNode.containedNodes;var containedEdges=clusterNode.containedEdges;if(options!==undefined&&options.releaseFunction!==undefined&&typeof options.releaseFunction===\"function\"){var positions={};var clusterPosition={x:clusterNode.x,y:clusterNode.y};for(var _nodeId3 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId3)){var containedNode=this.body.nodes[_nodeId3];positions[_nodeId3]={x:containedNode.x,y:containedNode.y}}}var newPositions=options.releaseFunction(clusterPosition,positions);for(var _nodeId4 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId4)){var _containedNode=this.body.nodes[_nodeId4];if(newPositions[_nodeId4]!==undefined){_containedNode.x=newPositions[_nodeId4].x===undefined?clusterNode.x:newPositions[_nodeId4].x;_containedNode.y=newPositions[_nodeId4].y===undefined?clusterNode.y:newPositions[_nodeId4].y}}}}else{util.forEach(containedNodes,function(containedNode){if(containedNode.options.fixed.x===false){containedNode.x=clusterNode.x}if(containedNode.options.fixed.y===false){containedNode.y=clusterNode.y}})}for(var _nodeId5 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId5)){var _containedNode2=this.body.nodes[_nodeId5];_containedNode2.vx=clusterNode.vx;_containedNode2.vy=clusterNode.vy;_containedNode2.setOptions({physics:true});delete this.clusteredNodes[_nodeId5]}}var edgesToBeDeleted=[];for(var i=0;i<clusterNode.edges.length;i++){edgesToBeDeleted.push(clusterNode.edges[i])}for(var _i2=0;_i2<edgesToBeDeleted.length;_i2++){var edge=edgesToBeDeleted[_i2];var otherNodeId=this._getConnectedId(edge,clusterNodeId);var otherNode=this.clusteredNodes[otherNodeId];for(var j=0;j<edge.clusteringEdgeReplacingIds.length;j++){var transferId=edge.clusteringEdgeReplacingIds[j];var transferEdge=this.body.edges[transferId];if(transferEdge===undefined)continue;if(otherNode!==undefined){var otherCluster=this.body.nodes[otherNode.clusterId];otherCluster.containedEdges[transferEdge.id]=transferEdge;delete containedEdges[transferEdge.id];var fromId=transferEdge.fromId;var toId=transferEdge.toId;if(transferEdge.toId==otherNodeId){toId=otherNode.clusterId}else{fromId=otherNode.clusterId}this._createClusteredEdge(fromId,toId,transferEdge,otherCluster.clusterEdgeProperties,{hidden:false,physics:true})}else{this._restoreEdge(transferEdge)}}edge.remove()}for(var edgeId in containedEdges){if(containedEdges.hasOwnProperty(edgeId)){this._restoreEdge(containedEdges[edgeId])}}delete this.body.nodes[clusterNodeId];if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"getNodesInCluster\",value:function getNodesInCluster(clusterId){var nodesArray=[];if(this.isCluster(clusterId)===true){var containedNodes=this.body.nodes[clusterId].containedNodes;for(var _nodeId6 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId6)){nodesArray.push(this.body.nodes[_nodeId6].id)}}}return nodesArray}},{key:\"findNode\",value:function findNode(nodeId){var stack=[];var max=100;var counter=0;var node=void 0;while(this.clusteredNodes[nodeId]!==undefined&&counter<max){node=this.body.nodes[nodeId];if(node===undefined)return[];stack.push(node.id);nodeId=this.clusteredNodes[nodeId].clusterId;counter++}node=this.body.nodes[nodeId];if(node===undefined)return[];stack.push(node.id);stack.reverse();return stack}},{key:\"updateClusteredNode\",value:function updateClusteredNode(clusteredNodeId,newOptions){if(clusteredNodeId===undefined){throw new Error(\"No clusteredNodeId supplied to updateClusteredNode.\")}if(newOptions===undefined){throw new Error(\"No newOptions supplied to updateClusteredNode.\")}if(this.body.nodes[clusteredNodeId]===undefined){throw new Error(\"The clusteredNodeId supplied to updateClusteredNode does not exist.\")}this.body.nodes[clusteredNodeId].setOptions(newOptions);this.body.emitter.emit(\"_dataChanged\")}},{key:\"updateEdge\",value:function updateEdge(startEdgeId,newOptions){if(startEdgeId===undefined){throw new Error(\"No startEdgeId supplied to updateEdge.\")}if(newOptions===undefined){throw new Error(\"No newOptions supplied to updateEdge.\")}if(this.body.edges[startEdgeId]===undefined){throw new Error(\"The startEdgeId supplied to updateEdge does not exist.\")}var allEdgeIds=this.getClusteredEdges(startEdgeId);for(var i=0;i<allEdgeIds.length;i++){var edge=this.body.edges[allEdgeIds[i]];edge.setOptions(newOptions)}this.body.emitter.emit(\"_dataChanged\")}},{key:\"getClusteredEdges\",value:function getClusteredEdges(edgeId){var stack=[];var max=100;var counter=0;while(edgeId!==undefined&&this.body.edges[edgeId]!==undefined&&counter<max){stack.push(this.body.edges[edgeId].id);edgeId=this.body.edges[edgeId].edgeReplacedById;counter++}stack.reverse();return stack}},{key:\"getBaseEdge\",value:function getBaseEdge(clusteredEdgeId){return this.getBaseEdges(clusteredEdgeId)[0]}},{key:\"getBaseEdges\",value:function getBaseEdges(clusteredEdgeId){var IdsToHandle=[clusteredEdgeId];var doneIds=[];var foundIds=[];var max=100;var counter=0;while(IdsToHandle.length>0&&counter<max){var nextId=IdsToHandle.pop();if(nextId===undefined)continue;var nextEdge=this.body.edges[nextId];if(nextEdge===undefined)continue;counter++;var replacingIds=nextEdge.clusteringEdgeReplacingIds;if(replacingIds===undefined){foundIds.push(nextId)}else{for(var i=0;i<replacingIds.length;++i){var replacingId=replacingIds[i];if(IdsToHandle.indexOf(replacingIds)!==-1||doneIds.indexOf(replacingIds)!==-1){continue}IdsToHandle.push(replacingId)}}doneIds.push(nextId)}return foundIds}},{key:\"_getConnectedId\",value:function _getConnectedId(edge,nodeId){if(edge.toId!=nodeId){return edge.toId}else if(edge.fromId!=nodeId){return edge.fromId}else{return edge.fromId}}},{key:\"_getHubSize\",value:function _getHubSize(){var average=0;var averageSquared=0;var hubCounter=0;var largestHub=0;for(var i=0;i<this.body.nodeIndices.length;i++){var _node=this.body.nodes[this.body.nodeIndices[i]];if(_node.edges.length>largestHub){largestHub=_node.edges.length}average+=_node.edges.length;averageSquared+=Math.pow(_node.edges.length,2);hubCounter+=1}average=average/hubCounter;averageSquared=averageSquared/hubCounter;var variance=averageSquared-Math.pow(average,2);var standardDeviation=Math.sqrt(variance);var hubThreshold=Math.floor(average+2*standardDeviation);if(hubThreshold>largestHub){hubThreshold=largestHub}return hubThreshold}},{key:\"_createClusteredEdge\",value:function _createClusteredEdge(fromId,toId,baseEdge,clusterEdgeProperties,extraOptions){var clonedOptions=NetworkUtil.cloneOptions(baseEdge,\"edge\");util.deepExtend(clonedOptions,clusterEdgeProperties);clonedOptions.from=fromId;clonedOptions.to=toId;clonedOptions.id=\"clusterEdge:\"+util.randomUUID();if(extraOptions!==undefined){util.deepExtend(clonedOptions,extraOptions)}var newEdge=this.body.functions.createEdge(clonedOptions);newEdge.clusteringEdgeReplacingIds=[baseEdge.id];newEdge.connect();this.body.edges[newEdge.id]=newEdge;return newEdge}},{key:\"_clusterEdges\",value:function _clusterEdges(childNodes,childEdges,clusterNode,clusterEdgeProperties){if(childEdges instanceof Edge){var edge=childEdges;var obj={};obj[edge.id]=edge;childEdges=obj}if(childNodes instanceof Node){var _node2=childNodes;var _obj={};_obj[_node2.id]=_node2;childNodes=_obj}if(clusterNode===undefined||clusterNode===null){throw new Error(\"_clusterEdges: parameter clusterNode required\")}if(clusterEdgeProperties===undefined){clusterEdgeProperties=clusterNode.clusterEdgeProperties}this._createClusterEdges(childNodes,childEdges,clusterNode,clusterEdgeProperties);for(var edgeId in childEdges){if(childEdges.hasOwnProperty(edgeId)){if(this.body.edges[edgeId]!==undefined){var _edge2=this.body.edges[edgeId];this._backupEdgeOptions(_edge2);_edge2.setOptions({physics:false})}}}for(var _nodeId7 in childNodes){if(childNodes.hasOwnProperty(_nodeId7)){this.clusteredNodes[_nodeId7]={clusterId:clusterNode.id,node:this.body.nodes[_nodeId7]};this.body.nodes[_nodeId7].setOptions({physics:false})}}}},{key:\"_getClusterNodeForNode\",value:function _getClusterNodeForNode(nodeId){if(nodeId===undefined)return undefined;var clusteredNode=this.clusteredNodes[nodeId];if(clusteredNode===undefined)return undefined;var clusterId=clusteredNode.clusterId;if(clusterId===undefined)return undefined;return this.body.nodes[clusterId]}},{key:\"_filter\",value:function _filter(arr,callback){var ret=[];util.forEach(arr,function(item){if(callback(item)){ret.push(item)}});return ret}},{key:\"_updateState\",value:function _updateState(){var _this4=this;var nodeId=void 0;var deletedNodeIds=[];var deletedEdgeIds=[];var eachClusterNode=function eachClusterNode(callback){util.forEach(_this4.body.nodes,function(node){if(node.isCluster===true){callback(node)}})};for(nodeId in this.clusteredNodes){if(!this.clusteredNodes.hasOwnProperty(nodeId))continue;var _node3=this.body.nodes[nodeId];if(_node3===undefined){deletedNodeIds.push(nodeId)}}eachClusterNode(function(clusterNode){for(var n=0;n<deletedNodeIds.length;n++){delete clusterNode.containedNodes[deletedNodeIds[n]]}});for(var n=0;n<deletedNodeIds.length;n++){delete this.clusteredNodes[deletedNodeIds[n]]}util.forEach(this.clusteredEdges,function(edgeId){var edge=_this4.body.edges[edgeId];if(edge===undefined||!edge.endPointsValid()){deletedEdgeIds.push(edgeId)}});eachClusterNode(function(clusterNode){util.forEach(clusterNode.containedEdges,function(edge,edgeId){if(!edge.endPointsValid()&&deletedEdgeIds.indexOf(edgeId)===-1){deletedEdgeIds.push(edgeId)}})});util.forEach(this.body.edges,function(edge,edgeId){var isValid=true;var replacedIds=edge.clusteringEdgeReplacingIds;if(replacedIds!==undefined){var numValid=0;util.forEach(replacedIds,function(containedEdgeId){var containedEdge=_this4.body.edges[containedEdgeId];if(containedEdge!==undefined&&containedEdge.endPointsValid()){numValid+=1}});isValid=numValid>0}if(!edge.endPointsValid()||!isValid){deletedEdgeIds.push(edgeId)}});eachClusterNode(function(clusterNode){util.forEach(deletedEdgeIds,function(deletedEdgeId){delete clusterNode.containedEdges[deletedEdgeId];util.forEach(clusterNode.edges,function(edge,m){if(edge.id===deletedEdgeId){clusterNode.edges[m]=null;return}edge.clusteringEdgeReplacingIds=_this4._filter(edge.clusteringEdgeReplacingIds,function(id){return deletedEdgeIds.indexOf(id)===-1})});clusterNode.edges=_this4._filter(clusterNode.edges,function(item){return item!==null})})});util.forEach(deletedEdgeIds,function(edgeId){delete _this4.clusteredEdges[edgeId]});util.forEach(deletedEdgeIds,function(edgeId){delete _this4.body.edges[edgeId]});var ids=(0,_keys2[\"default\"])(this.body.edges);util.forEach(ids,function(edgeId){var edge=_this4.body.edges[edgeId];var shouldBeClustered=_this4._isClusteredNode(edge.fromId)||_this4._isClusteredNode(edge.toId);if(shouldBeClustered===_this4._isClusteredEdge(edge.id)){return}if(shouldBeClustered){var clusterFrom=_this4._getClusterNodeForNode(edge.fromId);if(clusterFrom!==undefined){_this4._clusterEdges(_this4.body.nodes[edge.fromId],edge,clusterFrom)}var clusterTo=_this4._getClusterNodeForNode(edge.toId);if(clusterTo!==undefined){_this4._clusterEdges(_this4.body.nodes[edge.toId],edge,clusterTo)}}else{throw new Error(\"remove edge from clustering not implemented!\")}});var changed=false;var continueLoop=true;var _loop2=function _loop2(){var clustersToOpen=[];eachClusterNode(function(clusterNode){var numNodes=(0,_keys2[\"default\"])(clusterNode.containedNodes).length;var allowSingle=clusterNode.options.allowSingleNodeCluster===true;if(allowSingle&&numNodes<1||!allowSingle&&numNodes<2){clustersToOpen.push(clusterNode.id)}});for(var _n=0;_n<clustersToOpen.length;++_n){_this4.openCluster(clustersToOpen[_n],{},false)}continueLoop=clustersToOpen.length>0;changed=changed||continueLoop};while(continueLoop){_loop2()}if(changed){this._updateState()}}},{key:\"_isClusteredNode\",value:function _isClusteredNode(nodeId){return this.clusteredNodes[nodeId]!==undefined}},{key:\"_isClusteredEdge\",value:function _isClusteredEdge(edgeId){return this.clusteredEdges[edgeId]!==undefined}}]);return ClusterEngine}();exports[\"default\"]=ClusterEngine},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Node=__webpack_require__(47)[\"default\"];var Cluster=function(_Node){(0,_inherits3[\"default\"])(Cluster,_Node);function Cluster(options,body,imagelist,grouplist,globalOptions,defaultOptions){(0,_classCallCheck3[\"default\"])(this,Cluster);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Cluster.__proto__||(0,_getPrototypeOf2[\"default\"])(Cluster)).call(this,options,body,imagelist,grouplist,globalOptions,defaultOptions));_this.isCluster=true;_this.containedNodes={};_this.containedEdges={};return _this}(0,_createClass3[\"default\"])(Cluster,[{key:\"_openChildCluster\",value:function _openChildCluster(childClusterId){var _this2=this;var childCluster=this.body.nodes[childClusterId];if(this.containedNodes[childClusterId]===undefined){throw new Error(\"node with id: \"+childClusterId+\" not in current cluster\")}if(!childCluster.isCluster){throw new Error(\"node with id: \"+childClusterId+\" is not a cluster\")}delete this.containedNodes[childClusterId];util.forEach(childCluster.edges,function(edge){delete _this2.containedEdges[edge.id]});util.forEach(childCluster.containedNodes,function(node,nodeId){_this2.containedNodes[nodeId]=node});childCluster.containedNodes={};util.forEach(childCluster.containedEdges,function(edge,edgeId){_this2.containedEdges[edgeId]=edge});childCluster.containedEdges={};util.forEach(childCluster.edges,function(clusterEdge){util.forEach(_this2.edges,function(parentClusterEdge){var index=parentClusterEdge.clusteringEdgeReplacingIds.indexOf(clusterEdge.id);if(index===-1)return;util.forEach(clusterEdge.clusteringEdgeReplacingIds,function(srcId){parentClusterEdge.clusteringEdgeReplacingIds.push(srcId);_this2.body.edges[srcId].edgeReplacedById=parentClusterEdge.id});parentClusterEdge.clusteringEdgeReplacingIds.splice(index,1)})});childCluster.edges=[]}}]);return Cluster}(Node);exports[\"default\"]=Cluster},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}function _initRequestAnimationFrame(){var func;if(window!==undefined){func=window.requestAnimationFrame||window.mozRequestAnimationFrame||window.webkitRequestAnimationFrame||window.msRequestAnimationFrame}if(func===undefined){window.requestAnimationFrame=function(callback){callback()}}else{window.requestAnimationFrame=func}}var util=__webpack_require__(2);var CanvasRenderer=function(){function CanvasRenderer(body,canvas){(0,_classCallCheck3[\"default\"])(this,CanvasRenderer);_initRequestAnimationFrame();this.body=body;this.canvas=canvas;this.redrawRequested=false;this.renderTimer=undefined;this.requiresTimeout=true;this.renderingActive=false;this.renderRequests=0;this.allowRedraw=true;this.dragging=false;this.options={};this.defaultOptions={hideEdgesOnDrag:false,hideNodesOnDrag:false};util.extend(this.options,this.defaultOptions);this._determineBrowserMethod();this.bindEventListeners()}(0,_createClass3[\"default\"])(CanvasRenderer,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.on(\"dragStart\",function(){_this.dragging=true});this.body.emitter.on(\"dragEnd\",function(){_this.dragging=false});this.body.emitter.on(\"_resizeNodes\",function(){_this._resizeNodes()});this.body.emitter.on(\"_redraw\",function(){if(_this.renderingActive===false){_this._redraw()}});this.body.emitter.on(\"_blockRedraw\",function(){_this.allowRedraw=false});this.body.emitter.on(\"_allowRedraw\",function(){_this.allowRedraw=true;_this.redrawRequested=false});this.body.emitter.on(\"_requestRedraw\",this._requestRedraw.bind(this));this.body.emitter.on(\"_startRendering\",function(){_this.renderRequests+=1;_this.renderingActive=true;_this._startRendering()});this.body.emitter.on(\"_stopRendering\",function(){_this.renderRequests-=1;_this.renderingActive=_this.renderRequests>0;_this.renderTimer=undefined});this.body.emitter.on(\"destroy\",function(){_this.renderRequests=0;_this.allowRedraw=false;_this.renderingActive=false;if(_this.requiresTimeout===true){clearTimeout(_this.renderTimer)}else{window.cancelAnimationFrame(_this.renderTimer)}_this.body.emitter.off()})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){var fields=[\"hideEdgesOnDrag\",\"hideNodesOnDrag\"];util.selectiveDeepExtend(fields,this.options,options)}}},{key:\"_requestNextFrame\",value:function _requestNextFrame(callback,delay){if(typeof window===\"undefined\")return;var timer=void 0;var myWindow=window;if(this.requiresTimeout===true){timer=myWindow.setTimeout(callback,delay)}else{if(myWindow.requestAnimationFrame){timer=myWindow.requestAnimationFrame(callback)}}return timer}},{key:\"_startRendering\",value:function _startRendering(){if(this.renderingActive===true){if(this.renderTimer===undefined){this.renderTimer=this._requestNextFrame(this._renderStep.bind(this),this.simulationInterval)}}}},{key:\"_renderStep\",value:function _renderStep(){if(this.renderingActive===true){this.renderTimer=undefined;if(this.requiresTimeout===true){this._startRendering()}this._redraw();if(this.requiresTimeout===false){this._startRendering()}}}},{key:\"redraw\",value:function redraw(){this.body.emitter.emit(\"setSize\");this._redraw()}},{key:\"_requestRedraw\",value:function _requestRedraw(){var _this2=this;if(this.redrawRequested!==true&&this.renderingActive===false&&this.allowRedraw===true){this.redrawRequested=true;this._requestNextFrame(function(){_this2._redraw(false)},0)}}},{key:\"_redraw\",value:function _redraw(){var hidden=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.allowRedraw===true){this.body.emitter.emit(\"initRedraw\");this.redrawRequested=false;if(this.canvas.frame.canvas.width===0||this.canvas.frame.canvas.height===0){this.canvas.setSize()}this.canvas.setTransform();var ctx=this.canvas.getContext();var w=this.canvas.frame.canvas.clientWidth;var h=this.canvas.frame.canvas.clientHeight;ctx.clearRect(0,0,w,h);if(this.canvas.frame.clientWidth===0){return}ctx.save();ctx.translate(this.body.view.translation.x,this.body.view.translation.y);ctx.scale(this.body.view.scale,this.body.view.scale);ctx.beginPath();this.body.emitter.emit(\"beforeDrawing\",ctx);ctx.closePath();if(hidden===false){if(this.dragging===false||this.dragging===true&&this.options.hideEdgesOnDrag===false){this._drawEdges(ctx)}}if(this.dragging===false||this.dragging===true&&this.options.hideNodesOnDrag===false){this._drawNodes(ctx,hidden)}ctx.beginPath();this.body.emitter.emit(\"afterDrawing\",ctx);ctx.closePath();ctx.restore();if(hidden===true){ctx.clearRect(0,0,w,h)}}}},{key:\"_resizeNodes\",value:function _resizeNodes(){this.canvas.setTransform();var ctx=this.canvas.getContext();ctx.save();ctx.translate(this.body.view.translation.x,this.body.view.translation.y);ctx.scale(this.body.view.scale,this.body.view.scale);var nodes=this.body.nodes;var node=void 0;for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){node=nodes[nodeId];node.resize(ctx);node.updateBoundingBox(ctx,node.selected)}}ctx.restore()}},{key:\"_drawNodes\",value:function _drawNodes(ctx){var alwaysShow=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var nodes=this.body.nodes;var nodeIndices=this.body.nodeIndices;var node=void 0;var selected=[];var margin=20;var topLeft=this.canvas.DOMtoCanvas({x:-margin,y:-margin});var bottomRight=this.canvas.DOMtoCanvas({x:this.canvas.frame.canvas.clientWidth+margin,y:this.canvas.frame.canvas.clientHeight+margin});var viewableArea={top:topLeft.y,left:topLeft.x,bottom:bottomRight.y,right:bottomRight.x};for(var i=0;i<nodeIndices.length;i++){node=nodes[nodeIndices[i]];if(node.isSelected()){selected.push(nodeIndices[i])}else{if(alwaysShow===true){node.draw(ctx)}else if(node.isBoundingBoxOverlappingWith(viewableArea)===true){node.draw(ctx)}else{node.updateBoundingBox(ctx,node.selected)}}}for(var _i=0;_i<selected.length;_i++){node=nodes[selected[_i]];node.draw(ctx)}}},{key:\"_drawEdges\",value:function _drawEdges(ctx){var edges=this.body.edges;var edgeIndices=this.body.edgeIndices;var edge=void 0;for(var i=0;i<edgeIndices.length;i++){edge=edges[edgeIndices[i]];if(edge.connected===true){edge.draw(ctx)}}}},{key:\"_determineBrowserMethod\",value:function _determineBrowserMethod(){if(typeof window!==\"undefined\"){var browserType=navigator.userAgent.toLowerCase();this.requiresTimeout=false;if(browserType.indexOf(\"msie 9.0\")!=-1){this.requiresTimeout=true}else if(browserType.indexOf(\"safari\")!=-1){if(browserType.indexOf(\"chrome\")<=-1){this.requiresTimeout=true}}}else{this.requiresTimeout=true}}}]);return CanvasRenderer}();exports[\"default\"]=CanvasRenderer},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var util=__webpack_require__(2);var Canvas=function(){function Canvas(body){(0,_classCallCheck3[\"default\"])(this,Canvas);this.body=body;this.pixelRatio=1;this.resizeTimer=undefined;this.resizeFunction=this._onResize.bind(this);this.cameraState={};this.initialized=false;this.canvasViewCenter={};this.options={};this.defaultOptions={autoResize:true,height:\"100%\",width:\"100%\"};util.extend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(Canvas,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.once(\"resize\",function(obj){if(obj.width!==0){_this.body.view.translation.x=obj.width*.5}if(obj.height!==0){_this.body.view.translation.y=obj.height*.5}});this.body.emitter.on(\"setSize\",this.setSize.bind(this));this.body.emitter.on(\"destroy\",function(){_this.hammerFrame.destroy();_this.hammer.destroy();_this._cleanUp()})}},{key:\"setOptions\",value:function setOptions(options){var _this2=this;if(options!==undefined){var fields=[\"width\",\"height\",\"autoResize\"];util.selectiveDeepExtend(fields,this.options,options)}if(this.options.autoResize===true){this._cleanUp();this.resizeTimer=setInterval(function(){var changed=_this2.setSize();if(changed===true){_this2.body.emitter.emit(\"_requestRedraw\")}},1e3);this.resizeFunction=this._onResize.bind(this);util.addEventListener(window,\"resize\",this.resizeFunction)}}},{key:\"_cleanUp\",value:function _cleanUp(){if(this.resizeTimer!==undefined){clearInterval(this.resizeTimer)}util.removeEventListener(window,\"resize\",this.resizeFunction);this.resizeFunction=undefined}},{key:\"_onResize\",value:function _onResize(){this.setSize();this.body.emitter.emit(\"_redraw\")}},{key:\"_getCameraState\",value:function _getCameraState(){var pixelRatio=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.pixelRatio;if(this.initialized===true){this.cameraState.previousWidth=this.frame.canvas.width/pixelRatio;this.cameraState.previousHeight=this.frame.canvas.height/pixelRatio;this.cameraState.scale=this.body.view.scale;this.cameraState.position=this.DOMtoCanvas({x:.5*this.frame.canvas.width/pixelRatio,y:.5*this.frame.canvas.height/pixelRatio})}}},{key:\"_setCameraState\",value:function _setCameraState(){if(this.cameraState.scale!==undefined&&this.frame.canvas.clientWidth!==0&&this.frame.canvas.clientHeight!==0&&this.pixelRatio!==0&&this.cameraState.previousWidth>0){var widthRatio=this.frame.canvas.width/this.pixelRatio/this.cameraState.previousWidth;var heightRatio=this.frame.canvas.height/this.pixelRatio/this.cameraState.previousHeight;var newScale=this.cameraState.scale;if(widthRatio!=1&&heightRatio!=1){newScale=this.cameraState.scale*.5*(widthRatio+heightRatio)}else if(widthRatio!=1){newScale=this.cameraState.scale*widthRatio}else if(heightRatio!=1){newScale=this.cameraState.scale*heightRatio}this.body.view.scale=newScale;var currentViewCenter=this.DOMtoCanvas({x:.5*this.frame.canvas.clientWidth,y:.5*this.frame.canvas.clientHeight});var distanceFromCenter={x:currentViewCenter.x-this.cameraState.position.x,y:currentViewCenter.y-this.cameraState.position.y};this.body.view.translation.x+=distanceFromCenter.x*this.body.view.scale;this.body.view.translation.y+=distanceFromCenter.y*this.body.view.scale}}},{key:\"_prepareValue\",value:function _prepareValue(value){if(typeof value===\"number\"){return value+\"px\"}else if(typeof value===\"string\"){if(value.indexOf(\"%\")!==-1||value.indexOf(\"px\")!==-1){return value}else if(value.indexOf(\"%\")===-1){return value+\"px\"}}throw new Error(\"Could not use the value supplied for width or height:\"+value)}},{key:\"_create\",value:function _create(){while(this.body.container.hasChildNodes()){this.body.container.removeChild(this.body.container.firstChild)}this.frame=document.createElement(\"div\");this.frame.className=\"vis-network\";this.frame.style.position=\"relative\";this.frame.style.overflow=\"hidden\";this.frame.tabIndex=900;this.frame.canvas=document.createElement(\"canvas\");this.frame.canvas.style.position=\"relative\";this.frame.appendChild(this.frame.canvas);if(!this.frame.canvas.getContext){var noCanvas=document.createElement(\"DIV\");noCanvas.style.color=\"red\";noCanvas.style.fontWeight=\"bold\";noCanvas.style.padding=\"10px\";noCanvas.innerHTML=\"Error: your browser does not support HTML canvas\";this.frame.canvas.appendChild(noCanvas)}else{this._setPixelRatio();this.setTransform()}this.body.container.appendChild(this.frame);this.body.view.scale=1;this.body.view.translation={x:.5*this.frame.canvas.clientWidth,y:.5*this.frame.canvas.clientHeight};this._bindHammer()}},{key:\"_bindHammer\",value:function _bindHammer(){var _this3=this;if(this.hammer!==undefined){this.hammer.destroy()}this.drag={};this.pinch={};this.hammer=new Hammer(this.frame.canvas);this.hammer.get(\"pinch\").set({enable:true});this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_ALL});hammerUtil.onTouch(this.hammer,function(event){_this3.body.eventListeners.onTouch(event)});this.hammer.on(\"tap\",function(event){_this3.body.eventListeners.onTap(event)});this.hammer.on(\"doubletap\",function(event){_this3.body.eventListeners.onDoubleTap(event)});this.hammer.on(\"press\",function(event){_this3.body.eventListeners.onHold(event)});this.hammer.on(\"panstart\",function(event){_this3.body.eventListeners.onDragStart(event)});this.hammer.on(\"panmove\",function(event){_this3.body.eventListeners.onDrag(event)});this.hammer.on(\"panend\",function(event){_this3.body.eventListeners.onDragEnd(event)});this.hammer.on(\"pinch\",function(event){_this3.body.eventListeners.onPinch(event)});this.frame.canvas.addEventListener(\"mousewheel\",function(event){_this3.body.eventListeners.onMouseWheel(event)});this.frame.canvas.addEventListener(\"DOMMouseScroll\",function(event){_this3.body.eventListeners.onMouseWheel(event)});this.frame.canvas.addEventListener(\"mousemove\",function(event){_this3.body.eventListeners.onMouseMove(event)});this.frame.canvas.addEventListener(\"contextmenu\",function(event){_this3.body.eventListeners.onContext(event)});this.hammerFrame=new Hammer(this.frame);hammerUtil.onRelease(this.hammerFrame,function(event){_this3.body.eventListeners.onRelease(event)})}},{key:\"setSize\",value:function setSize(){var width=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.options.width;var height=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.options.height;width=this._prepareValue(width);height=this._prepareValue(height);var emitEvent=false;var oldWidth=this.frame.canvas.width;var oldHeight=this.frame.canvas.height;var previousRatio=this.pixelRatio;this._setPixelRatio();if(width!=this.options.width||height!=this.options.height||this.frame.style.width!=width||this.frame.style.height!=height){this._getCameraState(previousRatio);this.frame.style.width=width;this.frame.style.height=height;this.frame.canvas.style.width=\"100%\";this.frame.canvas.style.height=\"100%\";this.frame.canvas.width=Math.round(this.frame.canvas.clientWidth*this.pixelRatio);this.frame.canvas.height=Math.round(this.frame.canvas.clientHeight*this.pixelRatio);this.options.width=width;this.options.height=height;this.canvasViewCenter={x:.5*this.frame.clientWidth,y:.5*this.frame.clientHeight};emitEvent=true}else{var newWidth=Math.round(this.frame.canvas.clientWidth*this.pixelRatio);var newHeight=Math.round(this.frame.canvas.clientHeight*this.pixelRatio);if(this.frame.canvas.width!==newWidth||this.frame.canvas.height!==newHeight){this._getCameraState(previousRatio)}if(this.frame.canvas.width!==newWidth){this.frame.canvas.width=newWidth;emitEvent=true}if(this.frame.canvas.height!==newHeight){this.frame.canvas.height=newHeight;emitEvent=true}}if(emitEvent===true){this.body.emitter.emit(\"resize\",{width:Math.round(this.frame.canvas.width/this.pixelRatio),height:Math.round(this.frame.canvas.height/this.pixelRatio),oldWidth:Math.round(oldWidth/this.pixelRatio),oldHeight:Math.round(oldHeight/this.pixelRatio)});this._setCameraState()}this.initialized=true;return emitEvent}},{key:\"getContext\",value:function getContext(){return this.frame.canvas.getContext(\"2d\")}},{key:\"_determinePixelRatio\",value:function _determinePixelRatio(){var ctx=this.getContext();if(ctx===undefined){throw new Error(\"Could not get canvax context\")}var numerator=1;if(typeof window!==\"undefined\"){numerator=window.devicePixelRatio||1}var denominator=ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1;return numerator/denominator}},{key:\"_setPixelRatio\",value:function _setPixelRatio(){this.pixelRatio=this._determinePixelRatio()}},{key:\"setTransform\",value:function setTransform(){var ctx=this.getContext();if(ctx===undefined){throw new Error(\"Could not get canvax context\")}ctx.setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0)}},{key:\"_XconvertDOMtoCanvas\",value:function _XconvertDOMtoCanvas(x){return(x-this.body.view.translation.x)/this.body.view.scale}},{\nkey:\"_XconvertCanvasToDOM\",value:function _XconvertCanvasToDOM(x){return x*this.body.view.scale+this.body.view.translation.x}},{key:\"_YconvertDOMtoCanvas\",value:function _YconvertDOMtoCanvas(y){return(y-this.body.view.translation.y)/this.body.view.scale}},{key:\"_YconvertCanvasToDOM\",value:function _YconvertCanvasToDOM(y){return y*this.body.view.scale+this.body.view.translation.y}},{key:\"canvasToDOM\",value:function canvasToDOM(pos){return{x:this._XconvertCanvasToDOM(pos.x),y:this._YconvertCanvasToDOM(pos.y)}}},{key:\"DOMtoCanvas\",value:function DOMtoCanvas(pos){return{x:this._XconvertDOMtoCanvas(pos.x),y:this._YconvertDOMtoCanvas(pos.y)}}}]);return Canvas}();exports[\"default\"]=Canvas},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=__webpack_require__(76)[\"default\"];var View=function(){function View(body,canvas){var _this=this;(0,_classCallCheck3[\"default\"])(this,View);this.body=body;this.canvas=canvas;this.animationSpeed=1/this.renderRefreshRate;this.animationEasingFunction=\"easeInOutQuint\";this.easingTime=0;this.sourceScale=0;this.targetScale=0;this.sourceTranslation=0;this.targetTranslation=0;this.lockedOnNodeId=undefined;this.lockedOnNodeOffset=undefined;this.touchTime=0;this.viewFunction=undefined;this.body.emitter.on(\"fit\",this.fit.bind(this));this.body.emitter.on(\"animationFinished\",function(){_this.body.emitter.emit(\"_stopRendering\")});this.body.emitter.on(\"unlockNode\",this.releaseNode.bind(this))}(0,_createClass3[\"default\"])(View,[{key:\"setOptions\",value:function setOptions(){var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};this.options=options}},{key:\"fit\",value:function fit(){var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{nodes:[]};var initialZoom=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var range=void 0;var zoomLevel=void 0;if(options.nodes===undefined||options.nodes.length===0){options.nodes=this.body.nodeIndices}if(initialZoom===true){var positionDefined=0;for(var nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){var node=this.body.nodes[nodeId];if(node.predefinedPosition===true){positionDefined+=1}}}if(positionDefined>.5*this.body.nodeIndices.length){this.fit(options,false);return}range=NetworkUtil.getRange(this.body.nodes,options.nodes);var numberOfNodes=this.body.nodeIndices.length;zoomLevel=12.662/(numberOfNodes+7.4147)+.0964822;var factor=Math.min(this.canvas.frame.canvas.clientWidth/600,this.canvas.frame.canvas.clientHeight/600);zoomLevel*=factor}else{this.body.emitter.emit(\"_resizeNodes\");range=NetworkUtil.getRange(this.body.nodes,options.nodes);var xDistance=Math.abs(range.maxX-range.minX)*1.1;var yDistance=Math.abs(range.maxY-range.minY)*1.1;var xZoomLevel=this.canvas.frame.canvas.clientWidth/xDistance;var yZoomLevel=this.canvas.frame.canvas.clientHeight/yDistance;zoomLevel=xZoomLevel<=yZoomLevel?xZoomLevel:yZoomLevel}if(zoomLevel>1){zoomLevel=1}else if(zoomLevel===0){zoomLevel=1}var center=NetworkUtil.findCenter(range);var animationOptions={position:center,scale:zoomLevel,animation:options.animation};this.moveTo(animationOptions)}},{key:\"focus\",value:function focus(nodeId){var options=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};if(this.body.nodes[nodeId]!==undefined){var nodePosition={x:this.body.nodes[nodeId].x,y:this.body.nodes[nodeId].y};options.position=nodePosition;options.lockedOnNode=nodeId;this.moveTo(options)}else{console.log(\"Node: \"+nodeId+\" cannot be found.\")}}},{key:\"moveTo\",value:function moveTo(options){if(options===undefined){options={};return}if(options.offset===undefined){options.offset={x:0,y:0}}if(options.offset.x===undefined){options.offset.x=0}if(options.offset.y===undefined){options.offset.y=0}if(options.scale===undefined){options.scale=this.body.view.scale}if(options.position===undefined){options.position=this.getViewPosition()}if(options.animation===undefined){options.animation={duration:0}}if(options.animation===false){options.animation={duration:0}}if(options.animation===true){options.animation={}}if(options.animation.duration===undefined){options.animation.duration=1e3}if(options.animation.easingFunction===undefined){options.animation.easingFunction=\"easeInOutQuad\"}this.animateView(options)}},{key:\"animateView\",value:function animateView(options){if(options===undefined){return}this.animationEasingFunction=options.animation.easingFunction;this.releaseNode();if(options.locked===true){this.lockedOnNodeId=options.lockedOnNode;this.lockedOnNodeOffset=options.offset}if(this.easingTime!=0){this._transitionRedraw(true)}this.sourceScale=this.body.view.scale;this.sourceTranslation=this.body.view.translation;this.targetScale=options.scale;this.body.view.scale=this.targetScale;var viewCenter=this.canvas.DOMtoCanvas({x:.5*this.canvas.frame.canvas.clientWidth,y:.5*this.canvas.frame.canvas.clientHeight});var distanceFromCenter={x:viewCenter.x-options.position.x,y:viewCenter.y-options.position.y};this.targetTranslation={x:this.sourceTranslation.x+distanceFromCenter.x*this.targetScale+options.offset.x,y:this.sourceTranslation.y+distanceFromCenter.y*this.targetScale+options.offset.y};if(options.animation.duration===0){if(this.lockedOnNodeId!=undefined){this.viewFunction=this._lockedRedraw.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction)}else{this.body.view.scale=this.targetScale;this.body.view.translation=this.targetTranslation;this.body.emitter.emit(\"_requestRedraw\")}}else{this.animationSpeed=1/(60*options.animation.duration*.001)||1/60;this.animationEasingFunction=options.animation.easingFunction;this.viewFunction=this._transitionRedraw.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction);this.body.emitter.emit(\"_startRendering\")}}},{key:\"_lockedRedraw\",value:function _lockedRedraw(){var nodePosition={x:this.body.nodes[this.lockedOnNodeId].x,y:this.body.nodes[this.lockedOnNodeId].y};var viewCenter=this.canvas.DOMtoCanvas({x:.5*this.canvas.frame.canvas.clientWidth,y:.5*this.canvas.frame.canvas.clientHeight});var distanceFromCenter={x:viewCenter.x-nodePosition.x,y:viewCenter.y-nodePosition.y};var sourceTranslation=this.body.view.translation;var targetTranslation={x:sourceTranslation.x+distanceFromCenter.x*this.body.view.scale+this.lockedOnNodeOffset.x,y:sourceTranslation.y+distanceFromCenter.y*this.body.view.scale+this.lockedOnNodeOffset.y};this.body.view.translation=targetTranslation}},{key:\"releaseNode\",value:function releaseNode(){if(this.lockedOnNodeId!==undefined&&this.viewFunction!==undefined){this.body.emitter.off(\"initRedraw\",this.viewFunction);this.lockedOnNodeId=undefined;this.lockedOnNodeOffset=undefined}}},{key:\"_transitionRedraw\",value:function _transitionRedraw(){var finished=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;this.easingTime+=this.animationSpeed;this.easingTime=finished===true?1:this.easingTime;var progress=util.easingFunctions[this.animationEasingFunction](this.easingTime);this.body.view.scale=this.sourceScale+(this.targetScale-this.sourceScale)*progress;this.body.view.translation={x:this.sourceTranslation.x+(this.targetTranslation.x-this.sourceTranslation.x)*progress,y:this.sourceTranslation.y+(this.targetTranslation.y-this.sourceTranslation.y)*progress};if(this.easingTime>=1){this.body.emitter.off(\"initRedraw\",this.viewFunction);this.easingTime=0;if(this.lockedOnNodeId!=undefined){this.viewFunction=this._lockedRedraw.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction)}this.body.emitter.emit(\"animationFinished\")}}},{key:\"getScale\",value:function getScale(){return this.body.view.scale}},{key:\"getViewPosition\",value:function getViewPosition(){return this.canvas.DOMtoCanvas({x:.5*this.canvas.frame.canvas.clientWidth,y:.5*this.canvas.frame.canvas.clientHeight})}}]);return View}();exports[\"default\"]=View},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NavigationHandler=__webpack_require__(233)[\"default\"];var Popup=__webpack_require__(104)[\"default\"];var InteractionHandler=function(){function InteractionHandler(body,canvas,selectionHandler){(0,_classCallCheck3[\"default\"])(this,InteractionHandler);this.body=body;this.canvas=canvas;this.selectionHandler=selectionHandler;this.navigationHandler=new NavigationHandler(body,canvas);this.body.eventListeners.onTap=this.onTap.bind(this);this.body.eventListeners.onTouch=this.onTouch.bind(this);this.body.eventListeners.onDoubleTap=this.onDoubleTap.bind(this);this.body.eventListeners.onHold=this.onHold.bind(this);this.body.eventListeners.onDragStart=this.onDragStart.bind(this);this.body.eventListeners.onDrag=this.onDrag.bind(this);this.body.eventListeners.onDragEnd=this.onDragEnd.bind(this);this.body.eventListeners.onMouseWheel=this.onMouseWheel.bind(this);this.body.eventListeners.onPinch=this.onPinch.bind(this);this.body.eventListeners.onMouseMove=this.onMouseMove.bind(this);this.body.eventListeners.onRelease=this.onRelease.bind(this);this.body.eventListeners.onContext=this.onContext.bind(this);this.touchTime=0;this.drag={};this.pinch={};this.popup=undefined;this.popupObj=undefined;this.popupTimer=undefined;this.body.functions.getPointer=this.getPointer.bind(this);this.options={};this.defaultOptions={dragNodes:true,dragView:true,hover:false,keyboard:{enabled:false,speed:{x:10,y:10,zoom:.02},bindToWindow:true},navigationButtons:false,tooltipDelay:300,zoomView:true};util.extend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(InteractionHandler,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.on(\"destroy\",function(){clearTimeout(_this.popupTimer);delete _this.body.functions.getPointer})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){var fields=[\"hideEdgesOnDrag\",\"hideNodesOnDrag\",\"keyboard\",\"multiselect\",\"selectable\",\"selectConnectedEdges\"];util.selectiveNotDeepExtend(fields,this.options,options);util.mergeOptions(this.options,options,\"keyboard\");if(options.tooltip){util.extend(this.options.tooltip,options.tooltip);if(options.tooltip.color){this.options.tooltip.color=util.parseColor(options.tooltip.color)}}}this.navigationHandler.setOptions(this.options)}},{key:\"getPointer\",value:function getPointer(touch){return{x:touch.x-util.getAbsoluteLeft(this.canvas.frame.canvas),y:touch.y-util.getAbsoluteTop(this.canvas.frame.canvas)}}},{key:\"onTouch\",value:function onTouch(event){if((new Date).valueOf()-this.touchTime>50){this.drag.pointer=this.getPointer(event.center);this.drag.pinched=false;this.pinch.scale=this.body.view.scale;this.touchTime=(new Date).valueOf()}}},{key:\"onTap\",value:function onTap(event){var pointer=this.getPointer(event.center);var multiselect=this.selectionHandler.options.multiselect&&(event.changedPointers[0].ctrlKey||event.changedPointers[0].metaKey);this.checkSelectionChanges(pointer,event,multiselect);this.selectionHandler._generateClickEvent(\"click\",event,pointer)}},{key:\"onDoubleTap\",value:function onDoubleTap(event){var pointer=this.getPointer(event.center);this.selectionHandler._generateClickEvent(\"doubleClick\",event,pointer)}},{key:\"onHold\",value:function onHold(event){var pointer=this.getPointer(event.center);var multiselect=this.selectionHandler.options.multiselect;this.checkSelectionChanges(pointer,event,multiselect);this.selectionHandler._generateClickEvent(\"click\",event,pointer);this.selectionHandler._generateClickEvent(\"hold\",event,pointer)}},{key:\"onRelease\",value:function onRelease(event){if((new Date).valueOf()-this.touchTime>10){var pointer=this.getPointer(event.center);this.selectionHandler._generateClickEvent(\"release\",event,pointer);this.touchTime=(new Date).valueOf()}}},{key:\"onContext\",value:function onContext(event){var pointer=this.getPointer({x:event.clientX,y:event.clientY});this.selectionHandler._generateClickEvent(\"oncontext\",event,pointer)}},{key:\"checkSelectionChanges\",value:function checkSelectionChanges(pointer,event){var add=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var previousSelection=this.selectionHandler.getSelection();var selected=false;if(add===true){selected=this.selectionHandler.selectAdditionalOnPoint(pointer)}else{selected=this.selectionHandler.selectOnPoint(pointer)}var currentSelection=this.selectionHandler.getSelection();var deselectedItems=this._determineDifference(previousSelection,currentSelection);var selectedItems=this._determineDifference(currentSelection,previousSelection);if(deselectedItems.edges.length>0){this.selectionHandler._generateClickEvent(\"deselectEdge\",event,pointer,previousSelection);selected=true}if(deselectedItems.nodes.length>0){this.selectionHandler._generateClickEvent(\"deselectNode\",event,pointer,previousSelection);selected=true}if(selectedItems.nodes.length>0){this.selectionHandler._generateClickEvent(\"selectNode\",event,pointer);selected=true}if(selectedItems.edges.length>0){this.selectionHandler._generateClickEvent(\"selectEdge\",event,pointer);selected=true}if(selected===true){this.selectionHandler._generateClickEvent(\"select\",event,pointer)}}},{key:\"_determineDifference\",value:function _determineDifference(firstSet,secondSet){var arrayDiff=function arrayDiff(firstArr,secondArr){var result=[];for(var i=0;i<firstArr.length;i++){var value=firstArr[i];if(secondArr.indexOf(value)===-1){result.push(value)}}return result};return{nodes:arrayDiff(firstSet.nodes,secondSet.nodes),edges:arrayDiff(firstSet.edges,secondSet.edges)}}},{key:\"onDragStart\",value:function onDragStart(event){if(this.drag.pointer===undefined){this.onTouch(event)}var node=this.selectionHandler.getNodeAt(this.drag.pointer);this.drag.dragging=true;this.drag.selection=[];this.drag.translation=util.extend({},this.body.view.translation);this.drag.nodeId=undefined;if(node!==undefined&&this.options.dragNodes===true){this.drag.nodeId=node.id;if(node.isSelected()===false){this.selectionHandler.unselectAll();this.selectionHandler.selectObject(node)}this.selectionHandler._generateClickEvent(\"dragStart\",event,this.drag.pointer);var selection=this.selectionHandler.selectionObj.nodes;for(var nodeId in selection){if(selection.hasOwnProperty(nodeId)){var object=selection[nodeId];var s={id:object.id,node:object,x:object.x,y:object.y,xFixed:object.options.fixed.x,yFixed:object.options.fixed.y};object.options.fixed.x=true;object.options.fixed.y=true;this.drag.selection.push(s)}}}else{this.selectionHandler._generateClickEvent(\"dragStart\",event,this.drag.pointer,undefined,true)}}},{key:\"onDrag\",value:function onDrag(event){var _this2=this;if(this.drag.pinched===true){return}this.body.emitter.emit(\"unlockNode\");var pointer=this.getPointer(event.center);var selection=this.drag.selection;if(selection&&selection.length&&this.options.dragNodes===true){this.selectionHandler._generateClickEvent(\"dragging\",event,pointer);var deltaX=pointer.x-this.drag.pointer.x;var deltaY=pointer.y-this.drag.pointer.y;selection.forEach(function(selection){var node=selection.node;if(selection.xFixed===false){node.x=_this2.canvas._XconvertDOMtoCanvas(_this2.canvas._XconvertCanvasToDOM(selection.x)+deltaX)}if(selection.yFixed===false){node.y=_this2.canvas._YconvertDOMtoCanvas(_this2.canvas._YconvertCanvasToDOM(selection.y)+deltaY)}});this.body.emitter.emit(\"startSimulation\")}else{if(this.options.dragView===true){this.selectionHandler._generateClickEvent(\"dragging\",event,pointer,undefined,true);if(this.drag.pointer===undefined){this.onDragStart(event);return}var diffX=pointer.x-this.drag.pointer.x;var diffY=pointer.y-this.drag.pointer.y;this.body.view.translation={x:this.drag.translation.x+diffX,y:this.drag.translation.y+diffY};this.body.emitter.emit(\"_requestRedraw\")}}}},{key:\"onDragEnd\",value:function onDragEnd(event){this.drag.dragging=false;var selection=this.drag.selection;if(selection&&selection.length){selection.forEach(function(s){s.node.options.fixed.x=s.xFixed;s.node.options.fixed.y=s.yFixed});this.selectionHandler._generateClickEvent(\"dragEnd\",event,this.getPointer(event.center));this.body.emitter.emit(\"startSimulation\")}else{this.selectionHandler._generateClickEvent(\"dragEnd\",event,this.getPointer(event.center),undefined,true);this.body.emitter.emit(\"_requestRedraw\")}}},{key:\"onPinch\",value:function onPinch(event){var pointer=this.getPointer(event.center);this.drag.pinched=true;if(this.pinch[\"scale\"]===undefined){this.pinch.scale=1}var scale=this.pinch.scale*event.scale;this.zoom(scale,pointer)}},{key:\"zoom\",value:function zoom(scale,pointer){if(this.options.zoomView===true){var scaleOld=this.body.view.scale;if(scale<1e-5){scale=1e-5}if(scale>10){scale=10}var preScaleDragPointer=undefined;if(this.drag!==undefined){if(this.drag.dragging===true){preScaleDragPointer=this.canvas.DOMtoCanvas(this.drag.pointer)}}var translation=this.body.view.translation;var scaleFrac=scale/scaleOld;var tx=(1-scaleFrac)*pointer.x+translation.x*scaleFrac;var ty=(1-scaleFrac)*pointer.y+translation.y*scaleFrac;this.body.view.scale=scale;this.body.view.translation={x:tx,y:ty};if(preScaleDragPointer!=undefined){var postScaleDragPointer=this.canvas.canvasToDOM(preScaleDragPointer);this.drag.pointer.x=postScaleDragPointer.x;this.drag.pointer.y=postScaleDragPointer.y}this.body.emitter.emit(\"_requestRedraw\");if(scaleOld<scale){this.body.emitter.emit(\"zoom\",{direction:\"+\",scale:this.body.view.scale,pointer:pointer})}else{this.body.emitter.emit(\"zoom\",{direction:\"-\",scale:this.body.view.scale,pointer:pointer})}}}},{key:\"onMouseWheel\",value:function onMouseWheel(event){if(this.options.zoomView===true){var delta=0;if(event.wheelDelta){delta=event.wheelDelta/120}else if(event.detail){delta=-event.detail/3}if(delta!==0){var scale=this.body.view.scale;var zoom=delta/10;if(delta<0){zoom=zoom/(1-zoom)}scale*=1+zoom;var pointer=this.getPointer({x:event.clientX,y:event.clientY});this.zoom(scale,pointer)}event.preventDefault()}}},{key:\"onMouseMove\",value:function onMouseMove(event){var _this3=this;var pointer=this.getPointer({x:event.clientX,y:event.clientY});var popupVisible=false;if(this.popup!==undefined){if(this.popup.hidden===false){this._checkHidePopup(pointer)}if(this.popup.hidden===false){popupVisible=true;this.popup.setPosition(pointer.x+3,pointer.y-5);this.popup.show()}}if(this.options.keyboard.bindToWindow===false&&this.options.keyboard.enabled===true){this.canvas.frame.focus()}if(popupVisible===false){if(this.popupTimer!==undefined){clearInterval(this.popupTimer);this.popupTimer=undefined}if(!this.drag.dragging){this.popupTimer=setTimeout(function(){return _this3._checkShowPopup(pointer)},this.options.tooltipDelay)}}if(this.options.hover===true){this.selectionHandler.hoverObject(event,pointer)}}},{key:\"_checkShowPopup\",value:function _checkShowPopup(pointer){var x=this.canvas._XconvertDOMtoCanvas(pointer.x);var y=this.canvas._YconvertDOMtoCanvas(pointer.y);var pointerObj={left:x,top:y,right:x,bottom:y};var previousPopupObjId=this.popupObj===undefined?undefined:this.popupObj.id;var nodeUnderCursor=false;var popupType=\"node\";if(this.popupObj===undefined){var nodeIndices=this.body.nodeIndices;var nodes=this.body.nodes;var node=void 0;var overlappingNodes=[];for(var i=0;i<nodeIndices.length;i++){node=nodes[nodeIndices[i]];if(node.isOverlappingWith(pointerObj)===true){if(node.getTitle()!==undefined){overlappingNodes.push(nodeIndices[i])}}}if(overlappingNodes.length>0){this.popupObj=nodes[overlappingNodes[overlappingNodes.length-1]];nodeUnderCursor=true}}if(this.popupObj===undefined&&nodeUnderCursor===false){var edgeIndices=this.body.edgeIndices;var edges=this.body.edges;var edge=void 0;var overlappingEdges=[];for(var _i=0;_i<edgeIndices.length;_i++){edge=edges[edgeIndices[_i]];if(edge.isOverlappingWith(pointerObj)===true){if(edge.connected===true&&edge.getTitle()!==undefined){overlappingEdges.push(edgeIndices[_i])}}}if(overlappingEdges.length>0){this.popupObj=edges[overlappingEdges[overlappingEdges.length-1]];popupType=\"edge\"}}if(this.popupObj!==undefined){if(this.popupObj.id!==previousPopupObjId){if(this.popup===undefined){this.popup=new Popup(this.canvas.frame)}this.popup.popupTargetType=popupType;this.popup.popupTargetId=this.popupObj.id;this.popup.setPosition(pointer.x+3,pointer.y-5);this.popup.setText(this.popupObj.getTitle());this.popup.show();this.body.emitter.emit(\"showPopup\",this.popupObj.id)}}else{if(this.popup!==undefined){this.popup.hide();this.body.emitter.emit(\"hidePopup\")}}}},{key:\"_checkHidePopup\",value:function _checkHidePopup(pointer){var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var stillOnObj=false;if(this.popup.popupTargetType===\"node\"){if(this.body.nodes[this.popup.popupTargetId]!==undefined){stillOnObj=this.body.nodes[this.popup.popupTargetId].isOverlappingWith(pointerObj);if(stillOnObj===true){var overNode=this.selectionHandler.getNodeAt(pointer);stillOnObj=overNode===undefined?false:overNode.id===this.popup.popupTargetId}}}else{if(this.selectionHandler.getNodeAt(pointer)===undefined){if(this.body.edges[this.popup.popupTargetId]!==undefined){stillOnObj=this.body.edges[this.popup.popupTargetId].isOverlappingWith(pointerObj)}}}if(stillOnObj===false){this.popupObj=undefined;this.popup.hide();this.body.emitter.emit(\"hidePopup\")}}}]);return InteractionHandler}();exports[\"default\"]=InteractionHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var keycharm=__webpack_require__(35);var NavigationHandler=function(){function NavigationHandler(body,canvas){var _this=this;(0,_classCallCheck3[\"default\"])(this,NavigationHandler);this.body=body;this.canvas=canvas;this.iconsCreated=false;this.navigationHammers=[];this.boundFunctions={};this.touchTime=0;this.activated=false;this.body.emitter.on(\"activate\",function(){_this.activated=true;_this.configureKeyboardBindings()});this.body.emitter.on(\"deactivate\",function(){_this.activated=false;_this.configureKeyboardBindings()});this.body.emitter.on(\"destroy\",function(){if(_this.keycharm!==undefined){_this.keycharm.destroy()}});this.options={}}(0,_createClass3[\"default\"])(NavigationHandler,[{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){this.options=options;this.create()}}},{key:\"create\",value:function create(){if(this.options.navigationButtons===true){if(this.iconsCreated===false){this.loadNavigationElements()}}else if(this.iconsCreated===true){this.cleanNavigation()}this.configureKeyboardBindings()}},{key:\"cleanNavigation\",value:function cleanNavigation(){if(this.navigationHammers.length!=0){for(var i=0;i<this.navigationHammers.length;i++){this.navigationHammers[i].destroy()}this.navigationHammers=[]}if(this.navigationDOM&&this.navigationDOM[\"wrapper\"]&&this.navigationDOM[\"wrapper\"].parentNode){this.navigationDOM[\"wrapper\"].parentNode.removeChild(this.navigationDOM[\"wrapper\"])}this.iconsCreated=false}},{key:\"loadNavigationElements\",value:function loadNavigationElements(){var _this2=this;this.cleanNavigation();this.navigationDOM={};var navigationDivs=[\"up\",\"down\",\"left\",\"right\",\"zoomIn\",\"zoomOut\",\"zoomExtends\"];var navigationDivActions=[\"_moveUp\",\"_moveDown\",\"_moveLeft\",\"_moveRight\",\"_zoomIn\",\"_zoomOut\",\"_fit\"];this.navigationDOM[\"wrapper\"]=document.createElement(\"div\");this.navigationDOM[\"wrapper\"].className=\"vis-navigation\";this.canvas.frame.appendChild(this.navigationDOM[\"wrapper\"]);for(var i=0;i<navigationDivs.length;i++){this.navigationDOM[navigationDivs[i]]=document.createElement(\"div\");this.navigationDOM[navigationDivs[i]].className=\"vis-button vis-\"+navigationDivs[i];this.navigationDOM[\"wrapper\"].appendChild(this.navigationDOM[navigationDivs[i]]);var hammer=new Hammer(this.navigationDOM[navigationDivs[i]]);if(navigationDivActions[i]===\"_fit\"){hammerUtil.onTouch(hammer,this._fit.bind(this))}else{hammerUtil.onTouch(hammer,this.bindToRedraw.bind(this,navigationDivActions[i]))}this.navigationHammers.push(hammer)}var hammerFrame=new Hammer(this.canvas.frame);hammerUtil.onRelease(hammerFrame,function(){_this2._stopMovement()});this.navigationHammers.push(hammerFrame);this.iconsCreated=true}},{key:\"bindToRedraw\",value:function bindToRedraw(action){if(this.boundFunctions[action]===undefined){this.boundFunctions[action]=this[action].bind(this);this.body.emitter.on(\"initRedraw\",this.boundFunctions[action]);this.body.emitter.emit(\"_startRendering\")}}},{key:\"unbindFromRedraw\",value:function unbindFromRedraw(action){if(this.boundFunctions[action]!==undefined){this.body.emitter.off(\"initRedraw\",this.boundFunctions[action]);this.body.emitter.emit(\"_stopRendering\");delete this.boundFunctions[action]}}},{key:\"_fit\",value:function _fit(){if((new Date).valueOf()-this.touchTime>700){this.body.emitter.emit(\"fit\",{duration:700});this.touchTime=(new Date).valueOf()}}},{key:\"_stopMovement\",value:function _stopMovement(){for(var boundAction in this.boundFunctions){if(this.boundFunctions.hasOwnProperty(boundAction)){this.body.emitter.off(\"initRedraw\",this.boundFunctions[boundAction]);this.body.emitter.emit(\"_stopRendering\")}}this.boundFunctions={}}},{key:\"_moveUp\",value:function _moveUp(){this.body.view.translation.y+=this.options.keyboard.speed.y}},{key:\"_moveDown\",value:function _moveDown(){this.body.view.translation.y-=this.options.keyboard.speed.y}},{key:\"_moveLeft\",value:function _moveLeft(){this.body.view.translation.x+=this.options.keyboard.speed.x}},{key:\"_moveRight\",value:function _moveRight(){this.body.view.translation.x-=this.options.keyboard.speed.x}},{key:\"_zoomIn\",value:function _zoomIn(){var scaleOld=this.body.view.scale;var scale=this.body.view.scale*(1+this.options.keyboard.speed.zoom);var translation=this.body.view.translation;var scaleFrac=scale/scaleOld;var tx=(1-scaleFrac)*this.canvas.canvasViewCenter.x+translation.x*scaleFrac;var ty=(1-scaleFrac)*this.canvas.canvasViewCenter.y+translation.y*scaleFrac;this.body.view.scale=scale;this.body.view.translation={x:tx,y:ty};this.body.emitter.emit(\"zoom\",{direction:\"+\",scale:this.body.view.scale,pointer:null})}},{key:\"_zoomOut\",value:function _zoomOut(){var scaleOld=this.body.view.scale;var scale=this.body.view.scale/(1+this.options.keyboard.speed.zoom);var translation=this.body.view.translation;var scaleFrac=scale/scaleOld;var tx=(1-scaleFrac)*this.canvas.canvasViewCenter.x+translation.x*scaleFrac;var ty=(1-scaleFrac)*this.canvas.canvasViewCenter.y+translation.y*scaleFrac;this.body.view.scale=scale;this.body.view.translation={x:tx,y:ty};this.body.emitter.emit(\"zoom\",{direction:\"-\",scale:this.body.view.scale,pointer:null})}},{key:\"configureKeyboardBindings\",value:function configureKeyboardBindings(){var _this3=this;if(this.keycharm!==undefined){this.keycharm.destroy()}if(this.options.keyboard.enabled===true){if(this.options.keyboard.bindToWindow===true){this.keycharm=keycharm({container:window,preventDefault:true})}else{this.keycharm=keycharm({container:this.canvas.frame,preventDefault:true})}this.keycharm.reset();if(this.activated===true){this.keycharm.bind(\"up\",function(){_this3.bindToRedraw(\"_moveUp\")},\"keydown\");this.keycharm.bind(\"down\",function(){_this3.bindToRedraw(\"_moveDown\")},\"keydown\");this.keycharm.bind(\"left\",function(){_this3.bindToRedraw(\"_moveLeft\")},\"keydown\");this.keycharm.bind(\"right\",function(){_this3.bindToRedraw(\"_moveRight\")},\"keydown\");this.keycharm.bind(\"=\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"num+\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"num-\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"-\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"[\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"]\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"pageup\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"pagedown\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"up\",function(){_this3.unbindFromRedraw(\"_moveUp\")},\"keyup\");this.keycharm.bind(\"down\",function(){_this3.unbindFromRedraw(\"_moveDown\")},\"keyup\");this.keycharm.bind(\"left\",function(){_this3.unbindFromRedraw(\"_moveLeft\")},\"keyup\");this.keycharm.bind(\"right\",function(){_this3.unbindFromRedraw(\"_moveRight\")},\"keyup\");this.keycharm.bind(\"=\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"num+\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"num-\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\");this.keycharm.bind(\"-\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\");this.keycharm.bind(\"[\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\");this.keycharm.bind(\"]\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"pageup\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"pagedown\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\")}}}}]);return NavigationHandler}();exports[\"default\"]=NavigationHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Node=__webpack_require__(47)[\"default\"];var Edge=__webpack_require__(74)[\"default\"];var util=__webpack_require__(2);var SelectionHandler=function(){function SelectionHandler(body,canvas){var _this=this;(0,_classCallCheck3[\"default\"])(this,SelectionHandler);this.body=body;this.canvas=canvas;this.selectionObj={nodes:[],edges:[]};this.hoverObj={nodes:{},edges:{}};this.options={};this.defaultOptions={multiselect:false,selectable:true,selectConnectedEdges:true,hoverConnectedEdges:true};util.extend(this.options,this.defaultOptions);this.body.emitter.on(\"_dataChanged\",function(){_this.updateSelection()})}(0,_createClass3[\"default\"])(SelectionHandler,[{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){var fields=[\"multiselect\",\"hoverConnectedEdges\",\"selectable\",\"selectConnectedEdges\"];util.selectiveDeepExtend(fields,this.options,options)}}},{key:\"selectOnPoint\",value:function selectOnPoint(pointer){var selected=false;if(this.options.selectable===true){var obj=this.getNodeAt(pointer)||this.getEdgeAt(pointer);this.unselectAll();if(obj!==undefined){selected=this.selectObject(obj)}this.body.emitter.emit(\"_requestRedraw\")}return selected}},{key:\"selectAdditionalOnPoint\",value:function selectAdditionalOnPoint(pointer){var selectionChanged=false;if(this.options.selectable===true){var obj=this.getNodeAt(pointer)||this.getEdgeAt(pointer);if(obj!==undefined){selectionChanged=true;if(obj.isSelected()===true){this.deselectObject(obj)}else{this.selectObject(obj)}this.body.emitter.emit(\"_requestRedraw\")}}return selectionChanged}},{key:\"_initBaseEvent\",value:function _initBaseEvent(event,pointer){var properties={};properties[\"pointer\"]={DOM:{\nx:pointer.x,y:pointer.y},canvas:this.canvas.DOMtoCanvas(pointer)};properties[\"event\"]=event;return properties}},{key:\"_generateClickEvent\",value:function _generateClickEvent(eventType,event,pointer,oldSelection){var emptySelection=arguments.length>4&&arguments[4]!==undefined?arguments[4]:false;var properties=this._initBaseEvent(event,pointer);if(emptySelection===true){properties.nodes=[];properties.edges=[]}else{var tmp=this.getSelection();properties.nodes=tmp.nodes;properties.edges=tmp.edges}if(oldSelection!==undefined){properties[\"previousSelection\"]=oldSelection}if(eventType==\"click\"){properties.items=this.getClickedItems(pointer)}this.body.emitter.emit(eventType,properties)}},{key:\"selectObject\",value:function selectObject(obj){var highlightEdges=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.options.selectConnectedEdges;if(obj!==undefined){if(obj instanceof Node){if(highlightEdges===true){this._selectConnectedEdges(obj)}}obj.select();this._addToSelection(obj);return true}return false}},{key:\"deselectObject\",value:function deselectObject(obj){if(obj.isSelected()===true){obj.selected=false;this._removeFromSelection(obj)}}},{key:\"_getAllNodesOverlappingWith\",value:function _getAllNodesOverlappingWith(object){var overlappingNodes=[];var nodes=this.body.nodes;for(var i=0;i<this.body.nodeIndices.length;i++){var nodeId=this.body.nodeIndices[i];if(nodes[nodeId].isOverlappingWith(object)){overlappingNodes.push(nodeId)}}return overlappingNodes}},{key:\"_pointerToPositionObject\",value:function _pointerToPositionObject(pointer){var canvasPos=this.canvas.DOMtoCanvas(pointer);return{left:canvasPos.x-1,top:canvasPos.y+1,right:canvasPos.x+1,bottom:canvasPos.y-1}}},{key:\"getNodeAt\",value:function getNodeAt(pointer){var returnNode=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var positionObject=this._pointerToPositionObject(pointer);var overlappingNodes=this._getAllNodesOverlappingWith(positionObject);if(overlappingNodes.length>0){if(returnNode===true){return this.body.nodes[overlappingNodes[overlappingNodes.length-1]]}else{return overlappingNodes[overlappingNodes.length-1]}}else{return undefined}}},{key:\"_getEdgesOverlappingWith\",value:function _getEdgesOverlappingWith(object,overlappingEdges){var edges=this.body.edges;for(var i=0;i<this.body.edgeIndices.length;i++){var edgeId=this.body.edgeIndices[i];if(edges[edgeId].isOverlappingWith(object)){overlappingEdges.push(edgeId)}}}},{key:\"_getAllEdgesOverlappingWith\",value:function _getAllEdgesOverlappingWith(object){var overlappingEdges=[];this._getEdgesOverlappingWith(object,overlappingEdges);return overlappingEdges}},{key:\"getEdgeAt\",value:function getEdgeAt(pointer){var returnEdge=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var canvasPos=this.canvas.DOMtoCanvas(pointer);var mindist=10;var overlappingEdge=null;var edges=this.body.edges;for(var i=0;i<this.body.edgeIndices.length;i++){var edgeId=this.body.edgeIndices[i];var edge=edges[edgeId];if(edge.connected){var xFrom=edge.from.x;var yFrom=edge.from.y;var xTo=edge.to.x;var yTo=edge.to.y;var dist=edge.edgeType.getDistanceToEdge(xFrom,yFrom,xTo,yTo,canvasPos.x,canvasPos.y);if(dist<mindist){overlappingEdge=edgeId;mindist=dist}}}if(overlappingEdge!==null){if(returnEdge===true){return this.body.edges[overlappingEdge]}else{return overlappingEdge}}else{return undefined}}},{key:\"_addToSelection\",value:function _addToSelection(obj){if(obj instanceof Node){this.selectionObj.nodes[obj.id]=obj}else{this.selectionObj.edges[obj.id]=obj}}},{key:\"_addToHover\",value:function _addToHover(obj){if(obj instanceof Node){this.hoverObj.nodes[obj.id]=obj}else{this.hoverObj.edges[obj.id]=obj}}},{key:\"_removeFromSelection\",value:function _removeFromSelection(obj){if(obj instanceof Node){delete this.selectionObj.nodes[obj.id];this._unselectConnectedEdges(obj)}else{delete this.selectionObj.edges[obj.id]}}},{key:\"unselectAll\",value:function unselectAll(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){this.selectionObj.nodes[nodeId].unselect()}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){this.selectionObj.edges[edgeId].unselect()}}this.selectionObj={nodes:{},edges:{}}}},{key:\"_getSelectedNodeCount\",value:function _getSelectedNodeCount(){var count=0;for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){count+=1}}return count}},{key:\"_getSelectedNode\",value:function _getSelectedNode(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){return this.selectionObj.nodes[nodeId]}}return undefined}},{key:\"_getSelectedEdge\",value:function _getSelectedEdge(){for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){return this.selectionObj.edges[edgeId]}}return undefined}},{key:\"_getSelectedEdgeCount\",value:function _getSelectedEdgeCount(){var count=0;for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){count+=1}}return count}},{key:\"_getSelectedObjectCount\",value:function _getSelectedObjectCount(){var count=0;for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){count+=1}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){count+=1}}return count}},{key:\"_selectionIsEmpty\",value:function _selectionIsEmpty(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){return false}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){return false}}return true}},{key:\"_clusterInSelection\",value:function _clusterInSelection(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){if(this.selectionObj.nodes[nodeId].clusterSize>1){return true}}}return false}},{key:\"_selectConnectedEdges\",value:function _selectConnectedEdges(node){for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];edge.select();this._addToSelection(edge)}}},{key:\"_hoverConnectedEdges\",value:function _hoverConnectedEdges(node){for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];edge.hover=true;this._addToHover(edge)}}},{key:\"_unselectConnectedEdges\",value:function _unselectConnectedEdges(node){for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];edge.unselect();this._removeFromSelection(edge)}}},{key:\"emitBlurEvent\",value:function emitBlurEvent(event,pointer,object){var properties=this._initBaseEvent(event,pointer);if(object.hover===true){object.hover=false;if(object instanceof Node){properties.node=object.id;this.body.emitter.emit(\"blurNode\",properties)}else{properties.edge=object.id;this.body.emitter.emit(\"blurEdge\",properties)}}}},{key:\"emitHoverEvent\",value:function emitHoverEvent(event,pointer,object){var properties=this._initBaseEvent(event,pointer);var hoverChanged=false;if(object.hover===false){object.hover=true;this._addToHover(object);hoverChanged=true;if(object instanceof Node){properties.node=object.id;this.body.emitter.emit(\"hoverNode\",properties)}else{properties.edge=object.id;this.body.emitter.emit(\"hoverEdge\",properties)}}return hoverChanged}},{key:\"hoverObject\",value:function hoverObject(event,pointer){var object=this.getNodeAt(pointer);if(object===undefined){object=this.getEdgeAt(pointer)}var hoverChanged=false;for(var nodeId in this.hoverObj.nodes){if(this.hoverObj.nodes.hasOwnProperty(nodeId)){if(object===undefined||object instanceof Node&&object.id!=nodeId||object instanceof Edge){this.emitBlurEvent(event,pointer,this.hoverObj.nodes[nodeId]);delete this.hoverObj.nodes[nodeId];hoverChanged=true}}}for(var edgeId in this.hoverObj.edges){if(this.hoverObj.edges.hasOwnProperty(edgeId)){if(hoverChanged===true){this.hoverObj.edges[edgeId].hover=false;delete this.hoverObj.edges[edgeId]}else if(object===undefined||object instanceof Edge&&object.id!=edgeId||object instanceof Node&&!object.hover){this.emitBlurEvent(event,pointer,this.hoverObj.edges[edgeId]);delete this.hoverObj.edges[edgeId];hoverChanged=true}}}if(object!==undefined){hoverChanged=hoverChanged||this.emitHoverEvent(event,pointer,object);if(object instanceof Node&&this.options.hoverConnectedEdges===true){this._hoverConnectedEdges(object)}}if(hoverChanged===true){this.body.emitter.emit(\"_requestRedraw\")}}},{key:\"getSelection\",value:function getSelection(){var nodeIds=this.getSelectedNodes();var edgeIds=this.getSelectedEdges();return{nodes:nodeIds,edges:edgeIds}}},{key:\"getSelectedNodes\",value:function getSelectedNodes(){var idArray=[];if(this.options.selectable===true){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){idArray.push(this.selectionObj.nodes[nodeId].id)}}}return idArray}},{key:\"getSelectedEdges\",value:function getSelectedEdges(){var idArray=[];if(this.options.selectable===true){for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){idArray.push(this.selectionObj.edges[edgeId].id)}}}return idArray}},{key:\"setSelection\",value:function setSelection(selection){var options=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var i=void 0,id=void 0;if(!selection||!selection.nodes&&!selection.edges)throw\"Selection must be an object with nodes and/or edges properties\";if(options.unselectAll||options.unselectAll===undefined){this.unselectAll()}if(selection.nodes){for(i=0;i<selection.nodes.length;i++){id=selection.nodes[i];var node=this.body.nodes[id];if(!node){throw new RangeError('Node with id \"'+id+'\" not found')}this.selectObject(node,options.highlightEdges)}}if(selection.edges){for(i=0;i<selection.edges.length;i++){id=selection.edges[i];var edge=this.body.edges[id];if(!edge){throw new RangeError('Edge with id \"'+id+'\" not found')}this.selectObject(edge)}}this.body.emitter.emit(\"_requestRedraw\")}},{key:\"selectNodes\",value:function selectNodes(selection){var highlightEdges=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(!selection||selection.length===undefined)throw\"Selection must be an array with ids\";this.setSelection({nodes:selection},{highlightEdges:highlightEdges})}},{key:\"selectEdges\",value:function selectEdges(selection){if(!selection||selection.length===undefined)throw\"Selection must be an array with ids\";this.setSelection({edges:selection})}},{key:\"updateSelection\",value:function updateSelection(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){if(!this.body.nodes.hasOwnProperty(nodeId)){delete this.selectionObj.nodes[nodeId]}}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){if(!this.body.edges.hasOwnProperty(edgeId)){delete this.selectionObj.edges[edgeId]}}}}},{key:\"getClickedItems\",value:function getClickedItems(pointer){var point=this.canvas.DOMtoCanvas(pointer);var items=[];var nodeIndices=this.body.nodeIndices;var nodes=this.body.nodes;for(var i=nodeIndices.length-1;i>=0;i--){var node=nodes[nodeIndices[i]];var ret=node.getItemsOnPoint(point);items.push.apply(items,ret)}var edgeIndices=this.body.edgeIndices;var edges=this.body.edges;for(var _i=edgeIndices.length-1;_i>=0;_i--){var edge=edges[edgeIndices[_i]];var _ret=edge.getItemsOnPoint(point);items.push.apply(items,_ret)}return items}}]);return SelectionHandler}();exports[\"default\"]=SelectionHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=__webpack_require__(76)[\"default\"];var _require=__webpack_require__(236),HorizontalStrategy=_require.HorizontalStrategy,VerticalStrategy=_require.VerticalStrategy;var HierarchicalStatus=function(){function HierarchicalStatus(){(0,_classCallCheck3[\"default\"])(this,HierarchicalStatus);this.childrenReference={};this.parentReference={};this.trees={};this.distributionOrdering={};this.levels={};this.distributionIndex={};this.isTree=false;this.treeIndex=-1}(0,_createClass3[\"default\"])(HierarchicalStatus,[{key:\"addRelation\",value:function addRelation(parentNodeId,childNodeId){if(this.childrenReference[parentNodeId]===undefined){this.childrenReference[parentNodeId]=[]}this.childrenReference[parentNodeId].push(childNodeId);if(this.parentReference[childNodeId]===undefined){this.parentReference[childNodeId]=[]}this.parentReference[childNodeId].push(parentNodeId)}},{key:\"checkIfTree\",value:function checkIfTree(){for(var i in this.parentReference){if(this.parentReference[i].length>1){this.isTree=false;return}}this.isTree=true}},{key:\"numTrees\",value:function numTrees(){return this.treeIndex+1}},{key:\"setTreeIndex\",value:function setTreeIndex(node,treeId){if(treeId===undefined)return;if(this.trees[node.id]===undefined){this.trees[node.id]=treeId;this.treeIndex=Math.max(treeId,this.treeIndex)}}},{key:\"ensureLevel\",value:function ensureLevel(nodeId){if(this.levels[nodeId]===undefined){this.levels[nodeId]=0}}},{key:\"getMaxLevel\",value:function getMaxLevel(nodeId){var _this=this;var accumulator={};var _getMaxLevel=function _getMaxLevel(nodeId){if(accumulator[nodeId]!==undefined){return accumulator[nodeId]}var level=_this.levels[nodeId];if(_this.childrenReference[nodeId]){var children=_this.childrenReference[nodeId];if(children.length>0){for(var i=0;i<children.length;i++){level=Math.max(level,_getMaxLevel(children[i]))}}}accumulator[nodeId]=level;return level};return _getMaxLevel(nodeId)}},{key:\"levelDownstream\",value:function levelDownstream(nodeA,nodeB){if(this.levels[nodeB.id]===undefined){if(this.levels[nodeA.id]===undefined){this.levels[nodeA.id]=0}this.levels[nodeB.id]=this.levels[nodeA.id]+1}}},{key:\"setMinLevelToZero\",value:function setMinLevelToZero(nodes){var minLevel=1e9;for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){if(this.levels[nodeId]!==undefined){minLevel=Math.min(this.levels[nodeId],minLevel)}}}for(var _nodeId in nodes){if(nodes.hasOwnProperty(_nodeId)){if(this.levels[_nodeId]!==undefined){this.levels[_nodeId]-=minLevel}}}}},{key:\"getTreeSize\",value:function getTreeSize(nodes,index){var min_x=1e9;var max_x=-1e9;var min_y=1e9;var max_y=-1e9;for(var nodeId in this.trees){if(this.trees.hasOwnProperty(nodeId)){if(this.trees[nodeId]===index){var node=nodes[nodeId];min_x=Math.min(node.x,min_x);max_x=Math.max(node.x,max_x);min_y=Math.min(node.y,min_y);max_y=Math.max(node.y,max_y)}}}return{min_x:min_x,max_x:max_x,min_y:min_y,max_y:max_y}}},{key:\"hasSameParent\",value:function hasSameParent(node1,node2){var parents1=this.parentReference[node1.id];var parents2=this.parentReference[node2.id];if(parents1===undefined||parents2===undefined){return false}for(var i=0;i<parents1.length;i++){for(var j=0;j<parents2.length;j++){if(parents1[i]==parents2[j]){return true}}}return false}},{key:\"inSameSubNetwork\",value:function inSameSubNetwork(node1,node2){return this.trees[node1.id]===this.trees[node2.id]}},{key:\"getLevels\",value:function getLevels(){return(0,_keys2[\"default\"])(this.distributionOrdering)}},{key:\"addToOrdering\",value:function addToOrdering(node,level){if(this.distributionOrdering[level]===undefined){this.distributionOrdering[level]=[]}var isPresent=false;var curLevel=this.distributionOrdering[level];for(var n in curLevel){if(curLevel[n]===node){isPresent=true;break}}if(!isPresent){this.distributionOrdering[level].push(node);this.distributionIndex[node.id]=this.distributionOrdering[level].length-1}}}]);return HierarchicalStatus}();var LayoutEngine=function(){function LayoutEngine(body){(0,_classCallCheck3[\"default\"])(this,LayoutEngine);this.body=body;this.initialRandomSeed=Math.round(Math.random()*1e6);this.randomSeed=this.initialRandomSeed;this.setPhysics=false;this.options={};this.optionsBackup={physics:{}};this.defaultOptions={randomSeed:undefined,improvedLayout:true,hierarchical:{enabled:false,levelSeparation:150,nodeSpacing:100,treeSpacing:200,blockShifting:true,edgeMinimization:true,parentCentralization:true,direction:\"UD\",sortMethod:\"hubsize\"}};util.extend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(LayoutEngine,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this2=this;this.body.emitter.on(\"_dataChanged\",function(){_this2.setupHierarchicalLayout()});this.body.emitter.on(\"_dataLoaded\",function(){_this2.layoutNetwork()});this.body.emitter.on(\"_resetHierarchicalLayout\",function(){_this2.setupHierarchicalLayout()});this.body.emitter.on(\"_adjustEdgesForHierarchicalLayout\",function(){if(_this2.options.hierarchical.enabled!==true){return}var type=_this2.direction.curveType();_this2.body.emitter.emit(\"_forceDisableDynamicCurves\",type,false)})}},{key:\"setOptions\",value:function setOptions(options,allOptions){if(options!==undefined){var hierarchical=this.options.hierarchical;var prevHierarchicalState=hierarchical.enabled;util.selectiveDeepExtend([\"randomSeed\",\"improvedLayout\"],this.options,options);util.mergeOptions(this.options,options,\"hierarchical\");if(options.randomSeed!==undefined){this.initialRandomSeed=options.randomSeed}if(hierarchical.enabled===true){if(prevHierarchicalState===true){this.body.emitter.emit(\"refresh\",true)}if(hierarchical.direction===\"RL\"||hierarchical.direction===\"DU\"){if(hierarchical.levelSeparation>0){hierarchical.levelSeparation*=-1}}else{if(hierarchical.levelSeparation<0){hierarchical.levelSeparation*=-1}}this.setDirectionStrategy();this.body.emitter.emit(\"_resetHierarchicalLayout\");return this.adaptAllOptionsForHierarchicalLayout(allOptions)}else{if(prevHierarchicalState===true){this.body.emitter.emit(\"refresh\");return util.deepExtend(allOptions,this.optionsBackup)}}}return allOptions}},{key:\"adaptAllOptionsForHierarchicalLayout\",value:function adaptAllOptionsForHierarchicalLayout(allOptions){if(this.options.hierarchical.enabled===true){var backupPhysics=this.optionsBackup.physics;if(allOptions.physics===undefined||allOptions.physics===true){allOptions.physics={enabled:backupPhysics.enabled===undefined?true:backupPhysics.enabled,solver:\"hierarchicalRepulsion\"};backupPhysics.enabled=backupPhysics.enabled===undefined?true:backupPhysics.enabled;backupPhysics.solver=backupPhysics.solver||\"barnesHut\"}else if((0,_typeof3[\"default\"])(allOptions.physics)===\"object\"){backupPhysics.enabled=allOptions.physics.enabled===undefined?true:allOptions.physics.enabled;backupPhysics.solver=allOptions.physics.solver||\"barnesHut\";allOptions.physics.solver=\"hierarchicalRepulsion\"}else if(allOptions.physics!==false){backupPhysics.solver=\"barnesHut\";allOptions.physics={solver:\"hierarchicalRepulsion\"}}var type=this.direction.curveType();if(allOptions.edges===undefined){this.optionsBackup.edges={smooth:{enabled:true,type:\"dynamic\"}};allOptions.edges={smooth:false}}else if(allOptions.edges.smooth===undefined){this.optionsBackup.edges={smooth:{enabled:true,type:\"dynamic\"}};allOptions.edges.smooth=false}else{if(typeof allOptions.edges.smooth===\"boolean\"){this.optionsBackup.edges={smooth:allOptions.edges.smooth};allOptions.edges.smooth={enabled:allOptions.edges.smooth,type:type}}else{var smooth=allOptions.edges.smooth;if(smooth.type!==undefined&&smooth.type!==\"dynamic\"){type=smooth.type}this.optionsBackup.edges={smooth:smooth.enabled===undefined?true:smooth.enabled,type:smooth.type===undefined?\"dynamic\":smooth.type,roundness:smooth.roundness===undefined?.5:smooth.roundness,forceDirection:smooth.forceDirection===undefined?false:smooth.forceDirection};allOptions.edges.smooth={enabled:smooth.enabled===undefined?true:smooth.enabled,type:type,roundness:smooth.roundness===undefined?.5:smooth.roundness,forceDirection:smooth.forceDirection===undefined?false:smooth.forceDirection}}}this.body.emitter.emit(\"_forceDisableDynamicCurves\",type)}return allOptions}},{key:\"seededRandom\",value:function seededRandom(){var x=Math.sin(this.randomSeed++)*1e4;return x-Math.floor(x)}},{key:\"positionInitially\",value:function positionInitially(nodesArray){if(this.options.hierarchical.enabled!==true){this.randomSeed=this.initialRandomSeed;var radius=nodesArray.length+50;for(var i=0;i<nodesArray.length;i++){var node=nodesArray[i];var angle=2*Math.PI*this.seededRandom();if(node.x===undefined){node.x=radius*Math.cos(angle)}if(node.y===undefined){node.y=radius*Math.sin(angle)}}}}},{key:\"layoutNetwork\",value:function layoutNetwork(){if(this.options.hierarchical.enabled!==true&&this.options.improvedLayout===true){var indices=this.body.nodeIndices;var positionDefined=0;for(var i=0;i<indices.length;i++){var node=this.body.nodes[indices[i]];if(node.predefinedPosition===true){positionDefined+=1}}if(positionDefined<.5*indices.length){var MAX_LEVELS=10;var level=0;var clusterThreshold=150;var clusterOptions={clusterNodeProperties:{shape:\"ellipse\",label:\"\",group:\"\",font:{multi:false}},clusterEdgeProperties:{label:\"\",font:{multi:false},smooth:{enabled:false}}};if(indices.length>clusterThreshold){var startLength=indices.length;while(indices.length>clusterThreshold&&level<=MAX_LEVELS){level+=1;var before=indices.length;if(level%3===0){this.body.modules.clustering.clusterBridges(clusterOptions)}else{this.body.modules.clustering.clusterOutliers(clusterOptions)}var after=indices.length;if(before==after&&level%3!==0){this._declusterAll();this.body.emitter.emit(\"_layoutFailed\");console.info(\"This network could not be positioned by this version of the improved layout algorithm.\"+\" Please disable improvedLayout for better performance.\");return}}this.body.modules.kamadaKawai.setOptions({springLength:Math.max(150,2*startLength)})}if(level>MAX_LEVELS){console.info(\"The clustering didn't succeed within the amount of interations allowed,\"+\" progressing with partial result.\")}this.body.modules.kamadaKawai.solve(indices,this.body.edgeIndices,true);this._shiftToCenter();var offset=70;for(var _i=0;_i<indices.length;_i++){var _node=this.body.nodes[indices[_i]];if(_node.predefinedPosition===false){_node.x+=(.5-this.seededRandom())*offset;_node.y+=(.5-this.seededRandom())*offset}}this._declusterAll();this.body.emitter.emit(\"_repositionBezierNodes\")}}}},{key:\"_shiftToCenter\",value:function _shiftToCenter(){var range=NetworkUtil.getRangeCore(this.body.nodes,this.body.nodeIndices);var center=NetworkUtil.findCenter(range);for(var i=0;i<this.body.nodeIndices.length;i++){var node=this.body.nodes[this.body.nodeIndices[i]];node.x-=center.x;node.y-=center.y}}},{key:\"_declusterAll\",value:function _declusterAll(){var clustersPresent=true;while(clustersPresent===true){clustersPresent=false;for(var i=0;i<this.body.nodeIndices.length;i++){if(this.body.nodes[this.body.nodeIndices[i]].isCluster===true){clustersPresent=true;this.body.modules.clustering.openCluster(this.body.nodeIndices[i],{},false)}}if(clustersPresent===true){this.body.emitter.emit(\"_dataChanged\")}}}},{key:\"getSeed\",value:function getSeed(){return this.initialRandomSeed}},{key:\"setupHierarchicalLayout\",value:function setupHierarchicalLayout(){if(this.options.hierarchical.enabled===true&&this.body.nodeIndices.length>0){var node=void 0,nodeId=void 0;var definedLevel=false;var undefinedLevel=false;this.lastNodeOnLevel={};this.hierarchical=new HierarchicalStatus;for(nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){node=this.body.nodes[nodeId];if(node.options.level!==undefined){definedLevel=true;this.hierarchical.levels[nodeId]=node.options.level}else{undefinedLevel=true}}}if(undefinedLevel===true&&definedLevel===true){throw new Error(\"To use the hierarchical layout, nodes require either no predefined levels\"+\" or levels have to be defined for all nodes.\")}else{if(undefinedLevel===true){var sortMethod=this.options.hierarchical.sortMethod;if(sortMethod===\"hubsize\"){this._determineLevelsByHubsize()}else if(sortMethod===\"directed\"){this._determineLevelsDirected()}else if(sortMethod===\"custom\"){this._determineLevelsCustomCallback()}}for(var _nodeId2 in this.body.nodes){if(this.body.nodes.hasOwnProperty(_nodeId2)){this.hierarchical.ensureLevel(_nodeId2)}}var distribution=this._getDistribution();this._generateMap();this._placeNodesByHierarchy(distribution);this._condenseHierarchy();this._shiftToCenter()}}}},{key:\"_condenseHierarchy\",value:function _condenseHierarchy(){var _this3=this;var stillShifting=false;var branches={};var shiftTrees=function shiftTrees(){var treeSizes=getTreeSizes();var shiftBy=0;for(var i=0;i<treeSizes.length-1;i++){var diff=treeSizes[i].max-treeSizes[i+1].min;shiftBy+=diff+_this3.options.hierarchical.treeSpacing;shiftTree(i+1,shiftBy)}};var shiftTree=function shiftTree(index,offset){var trees=_this3.hierarchical.trees;for(var nodeId in trees){if(trees.hasOwnProperty(nodeId)){if(trees[nodeId]===index){_this3.direction.shift(nodeId,offset)}}}};var getTreeSizes=function getTreeSizes(){var treeWidths=[];for(var i=0;i<_this3.hierarchical.numTrees();i++){treeWidths.push(_this3.direction.getTreeSize(i))}return treeWidths};var getBranchNodes=function getBranchNodes(source,map){if(map[source.id]){return}map[source.id]=true;if(_this3.hierarchical.childrenReference[source.id]){var children=_this3.hierarchical.childrenReference[source.id];if(children.length>0){for(var i=0;i<children.length;i++){getBranchNodes(_this3.body.nodes[children[i]],map)}}}};var getBranchBoundary=function getBranchBoundary(branchMap){var maxLevel=arguments.length>1&&arguments[1]!==undefined?arguments[1]:1e9;var minSpace=1e9;var maxSpace=1e9;var min=1e9;var max=-1e9;for(var branchNode in branchMap){if(branchMap.hasOwnProperty(branchNode)){var node=_this3.body.nodes[branchNode];var level=_this3.hierarchical.levels[node.id];var position=_this3.direction.getPosition(node);var _getSpaceAroundNode2=_this3._getSpaceAroundNode(node,branchMap),_getSpaceAroundNode3=(0,_slicedToArray3[\"default\"])(_getSpaceAroundNode2,2),minSpaceNode=_getSpaceAroundNode3[0],maxSpaceNode=_getSpaceAroundNode3[1];minSpace=Math.min(minSpaceNode,minSpace);maxSpace=Math.min(maxSpaceNode,maxSpace);if(level<=maxLevel){min=Math.min(position,min);max=Math.max(position,max)}}}return[min,max,minSpace,maxSpace]};var getCollisionLevel=function getCollisionLevel(node1,node2){var maxLevel1=_this3.hierarchical.getMaxLevel(node1.id);var maxLevel2=_this3.hierarchical.getMaxLevel(node2.id);return Math.min(maxLevel1,maxLevel2)};var shiftElementsCloser=function shiftElementsCloser(callback,levels,centerParents){var hier=_this3.hierarchical;for(var i=0;i<levels.length;i++){var level=levels[i];var levelNodes=hier.distributionOrdering[level];if(levelNodes.length>1){for(var j=0;j<levelNodes.length-1;j++){var node1=levelNodes[j];var node2=levelNodes[j+1];if(hier.hasSameParent(node1,node2)&&hier.inSameSubNetwork(node1,node2)){callback(node1,node2,centerParents)}}}}};var branchShiftCallback=function branchShiftCallback(node1,node2){var centerParent=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var pos1=_this3.direction.getPosition(node1);var pos2=_this3.direction.getPosition(node2);var diffAbs=Math.abs(pos2-pos1);var nodeSpacing=_this3.options.hierarchical.nodeSpacing;if(diffAbs>nodeSpacing){var branchNodes1={};var branchNodes2={};getBranchNodes(node1,branchNodes1);getBranchNodes(node2,branchNodes2);var maxLevel=getCollisionLevel(node1,node2);var branchNodeBoundary1=getBranchBoundary(branchNodes1,maxLevel);var branchNodeBoundary2=getBranchBoundary(branchNodes2,maxLevel);var max1=branchNodeBoundary1[1];var min2=branchNodeBoundary2[0];var minSpace2=branchNodeBoundary2[2];var diffBranch=Math.abs(max1-min2);if(diffBranch>nodeSpacing){var offset=max1-min2+nodeSpacing;if(offset<-minSpace2+nodeSpacing){offset=-minSpace2+nodeSpacing}if(offset<0){_this3._shiftBlock(node2.id,offset);stillShifting=true;if(centerParent===true)_this3._centerParent(node2)}}}};var minimizeEdgeLength=function minimizeEdgeLength(iterations,node){var nodeId=node.id;var allEdges=node.edges;var nodeLevel=_this3.hierarchical.levels[node.id];var C2=_this3.options.hierarchical.levelSeparation*_this3.options.hierarchical.levelSeparation;var referenceNodes={};var aboveEdges=[];for(var i=0;i<allEdges.length;i++){var edge=allEdges[i];if(edge.toId!=edge.fromId){var otherNode=edge.toId==nodeId?edge.from:edge.to;referenceNodes[allEdges[i].id]=otherNode;if(_this3.hierarchical.levels[otherNode.id]<nodeLevel){aboveEdges.push(edge)}}}var getFx=function getFx(point,edges){var sum=0;for(var _i2=0;_i2<edges.length;_i2++){if(referenceNodes[edges[_i2].id]!==undefined){var a=_this3.direction.getPosition(referenceNodes[edges[_i2].id])-point;sum+=a/Math.sqrt(a*a+C2)}}return sum};var getDFx=function getDFx(point,edges){var sum=0;for(var _i3=0;_i3<edges.length;_i3++){if(referenceNodes[edges[_i3].id]!==undefined){var a=_this3.direction.getPosition(referenceNodes[edges[_i3].id])-point;sum-=C2*Math.pow(a*a+C2,-1.5)}}return sum};var getGuess=function getGuess(iterations,edges){var guess=_this3.direction.getPosition(node);var guessMap={};for(var _i4=0;_i4<iterations;_i4++){var fx=getFx(guess,edges);var dfx=getDFx(guess,edges);var limit=40;var ratio=Math.max(-limit,Math.min(limit,Math.round(fx/dfx)));guess=guess-ratio;if(guessMap[guess]!==undefined){break}guessMap[guess]=_i4}return guess};var moveBranch=function moveBranch(guess){var nodePosition=_this3.direction.getPosition(node);if(branches[node.id]===undefined){var branchNodes={};getBranchNodes(node,branchNodes);branches[node.id]=branchNodes}var branchBoundary=getBranchBoundary(branches[node.id]);var minSpaceBranch=branchBoundary[2];var maxSpaceBranch=branchBoundary[3];var diff=guess-nodePosition;var branchOffset=0;if(diff>0){branchOffset=Math.min(diff,maxSpaceBranch-_this3.options.hierarchical.nodeSpacing)}else if(diff<0){branchOffset=-Math.min(-diff,minSpaceBranch-_this3.options.hierarchical.nodeSpacing)}if(branchOffset!=0){_this3._shiftBlock(node.id,branchOffset);stillShifting=true}};var moveNode=function moveNode(guess){var nodePosition=_this3.direction.getPosition(node);var _getSpaceAroundNode4=_this3._getSpaceAroundNode(node),_getSpaceAroundNode5=(0,_slicedToArray3[\"default\"])(_getSpaceAroundNode4,2),minSpace=_getSpaceAroundNode5[0],maxSpace=_getSpaceAroundNode5[1];var diff=guess-nodePosition;var newPosition=nodePosition;if(diff>0){newPosition=Math.min(nodePosition+(maxSpace-_this3.options.hierarchical.nodeSpacing),guess)}else if(diff<0){newPosition=Math.max(nodePosition-(minSpace-_this3.options.hierarchical.nodeSpacing),guess)}if(newPosition!==nodePosition){_this3.direction.setPosition(node,newPosition);stillShifting=true}};var guess=getGuess(iterations,aboveEdges);moveBranch(guess);guess=getGuess(iterations,allEdges);moveNode(guess)};var minimizeEdgeLengthBottomUp=function minimizeEdgeLengthBottomUp(iterations){var levels=_this3.hierarchical.getLevels();levels=levels.reverse();for(var i=0;i<iterations;i++){stillShifting=false;for(var j=0;j<levels.length;j++){var level=levels[j];var levelNodes=_this3.hierarchical.distributionOrdering[level];for(var k=0;k<levelNodes.length;k++){minimizeEdgeLength(1e3,levelNodes[k])}}if(stillShifting!==true){break}}};var shiftBranchesCloserBottomUp=function shiftBranchesCloserBottomUp(iterations){var levels=_this3.hierarchical.getLevels();levels=levels.reverse();for(var i=0;i<iterations;i++){stillShifting=false;shiftElementsCloser(branchShiftCallback,levels,true);if(stillShifting!==true){break}}};var centerAllParents=function centerAllParents(){for(var nodeId in _this3.body.nodes){if(_this3.body.nodes.hasOwnProperty(nodeId))_this3._centerParent(_this3.body.nodes[nodeId])}};var centerAllParentsBottomUp=function centerAllParentsBottomUp(){var levels=_this3.hierarchical.getLevels()\n;levels=levels.reverse();for(var i=0;i<levels.length;i++){var level=levels[i];var levelNodes=_this3.hierarchical.distributionOrdering[level];for(var j=0;j<levelNodes.length;j++){_this3._centerParent(levelNodes[j])}}};if(this.options.hierarchical.blockShifting===true){shiftBranchesCloserBottomUp(5);centerAllParents()}if(this.options.hierarchical.edgeMinimization===true){minimizeEdgeLengthBottomUp(20)}if(this.options.hierarchical.parentCentralization===true){centerAllParentsBottomUp()}shiftTrees()}},{key:\"_getSpaceAroundNode\",value:function _getSpaceAroundNode(node,map){var useMap=true;if(map===undefined){useMap=false}var level=this.hierarchical.levels[node.id];if(level!==undefined){var index=this.hierarchical.distributionIndex[node.id];var position=this.direction.getPosition(node);var ordering=this.hierarchical.distributionOrdering[level];var minSpace=1e9;var maxSpace=1e9;if(index!==0){var prevNode=ordering[index-1];if(useMap===true&&map[prevNode.id]===undefined||useMap===false){var prevPos=this.direction.getPosition(prevNode);minSpace=position-prevPos}}if(index!=ordering.length-1){var nextNode=ordering[index+1];if(useMap===true&&map[nextNode.id]===undefined||useMap===false){var nextPos=this.direction.getPosition(nextNode);maxSpace=Math.min(maxSpace,nextPos-position)}}return[minSpace,maxSpace]}else{return[0,0]}}},{key:\"_centerParent\",value:function _centerParent(node){if(this.hierarchical.parentReference[node.id]){var parents=this.hierarchical.parentReference[node.id];for(var i=0;i<parents.length;i++){var parentId=parents[i];var parentNode=this.body.nodes[parentId];var children=this.hierarchical.childrenReference[parentId];if(children!==undefined){var newPosition=this._getCenterPosition(children);var position=this.direction.getPosition(parentNode);var _getSpaceAroundNode6=this._getSpaceAroundNode(parentNode),_getSpaceAroundNode7=(0,_slicedToArray3[\"default\"])(_getSpaceAroundNode6,2),minSpace=_getSpaceAroundNode7[0],maxSpace=_getSpaceAroundNode7[1];var diff=position-newPosition;if(diff<0&&Math.abs(diff)<maxSpace-this.options.hierarchical.nodeSpacing||diff>0&&Math.abs(diff)<minSpace-this.options.hierarchical.nodeSpacing){this.direction.setPosition(parentNode,newPosition)}}}}}},{key:\"_placeNodesByHierarchy\",value:function _placeNodesByHierarchy(distribution){this.positionedNodes={};for(var level in distribution){if(distribution.hasOwnProperty(level)){var nodeArray=(0,_keys2[\"default\"])(distribution[level]);nodeArray=this._indexArrayToNodes(nodeArray);this.direction.sort(nodeArray);var handledNodeCount=0;for(var i=0;i<nodeArray.length;i++){var node=nodeArray[i];if(this.positionedNodes[node.id]===undefined){var spacing=this.options.hierarchical.nodeSpacing;var pos=spacing*handledNodeCount;if(handledNodeCount>0){pos=this.direction.getPosition(nodeArray[i-1])+spacing}this.direction.setPosition(node,pos,level);this._validatePositionAndContinue(node,level,pos);handledNodeCount++}}}}}},{key:\"_placeBranchNodes\",value:function _placeBranchNodes(parentId,parentLevel){var childRef=this.hierarchical.childrenReference[parentId];if(childRef===undefined){return}var childNodes=[];for(var i=0;i<childRef.length;i++){childNodes.push(this.body.nodes[childRef[i]])}this.direction.sort(childNodes);for(var _i5=0;_i5<childNodes.length;_i5++){var childNode=childNodes[_i5];var childNodeLevel=this.hierarchical.levels[childNode.id];if(childNodeLevel>parentLevel&&this.positionedNodes[childNode.id]===undefined){var spacing=this.options.hierarchical.nodeSpacing;var pos=void 0;if(_i5===0){pos=this.direction.getPosition(this.body.nodes[parentId])}else{pos=this.direction.getPosition(childNodes[_i5-1])+spacing}this.direction.setPosition(childNode,pos,childNodeLevel);this._validatePositionAndContinue(childNode,childNodeLevel,pos)}else{return}}var center=this._getCenterPosition(childNodes);this.direction.setPosition(this.body.nodes[parentId],center,parentLevel)}},{key:\"_validatePositionAndContinue\",value:function _validatePositionAndContinue(node,level,pos){if(!this.hierarchical.isTree)return;if(this.lastNodeOnLevel[level]!==undefined){var previousPos=this.direction.getPosition(this.body.nodes[this.lastNodeOnLevel[level]]);if(pos-previousPos<this.options.hierarchical.nodeSpacing){var diff=previousPos+this.options.hierarchical.nodeSpacing-pos;var sharedParent=this._findCommonParent(this.lastNodeOnLevel[level],node.id);this._shiftBlock(sharedParent.withChild,diff)}}this.lastNodeOnLevel[level]=node.id;this.positionedNodes[node.id]=true;this._placeBranchNodes(node.id,level)}},{key:\"_indexArrayToNodes\",value:function _indexArrayToNodes(idArray){var array=[];for(var i=0;i<idArray.length;i++){array.push(this.body.nodes[idArray[i]])}return array}},{key:\"_getDistribution\",value:function _getDistribution(){var distribution={};var nodeId=void 0,node=void 0;for(nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){node=this.body.nodes[nodeId];var level=this.hierarchical.levels[nodeId]===undefined?0:this.hierarchical.levels[nodeId];this.direction.fix(node,level);if(distribution[level]===undefined){distribution[level]={}}distribution[level][nodeId]=node}}return distribution}},{key:\"_getActiveEdges\",value:function _getActiveEdges(node){var _this4=this;var result=[];util.forEach(node.edges,function(edge){if(_this4.body.edgeIndices.indexOf(edge.id)!==-1){result.push(edge)}});return result}},{key:\"_getHubSizes\",value:function _getHubSizes(){var _this5=this;var hubSizes={};var nodeIds=this.body.nodeIndices;util.forEach(nodeIds,function(nodeId){var node=_this5.body.nodes[nodeId];var hubSize=_this5._getActiveEdges(node).length;hubSizes[hubSize]=true});var result=[];util.forEach(hubSizes,function(size){result.push(Number(size))});result.sort(function(a,b){return b-a});return result}},{key:\"_determineLevelsByHubsize\",value:function _determineLevelsByHubsize(){var _this6=this;var levelDownstream=function levelDownstream(nodeA,nodeB){_this6.hierarchical.levelDownstream(nodeA,nodeB)};var hubSizes=this._getHubSizes();var _loop=function _loop(i){var hubSize=hubSizes[i];if(hubSize===0)return\"break\";util.forEach(_this6.body.nodeIndices,function(nodeId){var node=_this6.body.nodes[nodeId];if(hubSize===_this6._getActiveEdges(node).length){_this6._crawlNetwork(levelDownstream,nodeId)}})};for(var i=0;i<hubSizes.length;++i){var _ret=_loop(i);if(_ret===\"break\")break}}},{key:\"_determineLevelsCustomCallback\",value:function _determineLevelsCustomCallback(){var _this7=this;var minLevel=1e5;var customCallback=function customCallback(nodeA,nodeB,edge){};var levelByDirection=function levelByDirection(nodeA,nodeB,edge){var levelA=_this7.hierarchical.levels[nodeA.id];if(levelA===undefined){levelA=_this7.hierarchical.levels[nodeA.id]=minLevel}var diff=customCallback(NetworkUtil.cloneOptions(nodeA,\"node\"),NetworkUtil.cloneOptions(nodeB,\"node\"),NetworkUtil.cloneOptions(edge,\"edge\"));_this7.hierarchical.levels[nodeB.id]=levelA+diff};this._crawlNetwork(levelByDirection);this.hierarchical.setMinLevelToZero(this.body.nodes)}},{key:\"_determineLevelsDirected\",value:function _determineLevelsDirected(){var _this8=this;var minLevel=1e4;var isBidirectional=function isBidirectional(edge){util.forEach(_this8.body.edges,function(otherEdge){if(otherEdge.toId===edge.fromId&&otherEdge.fromId===edge.toId){return true}});return false};var levelByDirection=function levelByDirection(nodeA,nodeB,edge){var levelA=_this8.hierarchical.levels[nodeA.id];var levelB=_this8.hierarchical.levels[nodeB.id];if(isBidirectional(edge)&&levelA!==undefined&&levelB!==undefined){return}if(levelA===undefined){levelA=_this8.hierarchical.levels[nodeA.id]=minLevel}if(edge.toId==nodeB.id){_this8.hierarchical.levels[nodeB.id]=levelA+1}else{_this8.hierarchical.levels[nodeB.id]=levelA-1}};this._crawlNetwork(levelByDirection);this.hierarchical.setMinLevelToZero(this.body.nodes)}},{key:\"_generateMap\",value:function _generateMap(){var _this9=this;var fillInRelations=function fillInRelations(parentNode,childNode){if(_this9.hierarchical.levels[childNode.id]>_this9.hierarchical.levels[parentNode.id]){_this9.hierarchical.addRelation(parentNode.id,childNode.id)}};this._crawlNetwork(fillInRelations);this.hierarchical.checkIfTree()}},{key:\"_crawlNetwork\",value:function _crawlNetwork(){var _this10=this;var callback=arguments.length>0&&arguments[0]!==undefined?arguments[0]:function(){};var startingNodeId=arguments[1];var progress={};var crawler=function crawler(node,tree){if(progress[node.id]===undefined){_this10.hierarchical.setTreeIndex(node,tree);progress[node.id]=true;var childNode=void 0;var edges=_this10._getActiveEdges(node);for(var i=0;i<edges.length;i++){var edge=edges[i];if(edge.connected===true){if(edge.toId==node.id){childNode=edge.from}else{childNode=edge.to}if(node.id!=childNode.id){callback(node,childNode,edge);crawler(childNode,tree)}}}}};if(startingNodeId===undefined){var treeIndex=0;for(var i=0;i<this.body.nodeIndices.length;i++){var nodeId=this.body.nodeIndices[i];if(progress[nodeId]===undefined){var node=this.body.nodes[nodeId];crawler(node,treeIndex);treeIndex+=1}}}else{var _node2=this.body.nodes[startingNodeId];if(_node2===undefined){console.error(\"Node not found:\",startingNodeId);return}crawler(_node2)}}},{key:\"_shiftBlock\",value:function _shiftBlock(parentId,diff){var _this11=this;var progress={};var shifter=function shifter(parentId){if(progress[parentId]){return}progress[parentId]=true;_this11.direction.shift(parentId,diff);var childRef=_this11.hierarchical.childrenReference[parentId];if(childRef!==undefined){for(var i=0;i<childRef.length;i++){shifter(childRef[i])}}};shifter(parentId)}},{key:\"_findCommonParent\",value:function _findCommonParent(childA,childB){var _this12=this;var parents={};var iterateParents=function iterateParents(parents,child){var parentRef=_this12.hierarchical.parentReference[child];if(parentRef!==undefined){for(var i=0;i<parentRef.length;i++){var parent=parentRef[i];parents[parent]=true;iterateParents(parents,parent)}}};var findParent=function findParent(parents,child){var parentRef=_this12.hierarchical.parentReference[child];if(parentRef!==undefined){for(var i=0;i<parentRef.length;i++){var parent=parentRef[i];if(parents[parent]!==undefined){return{foundParent:parent,withChild:child}}var branch=findParent(parents,parent);if(branch.foundParent!==null){return branch}}}return{foundParent:null,withChild:child}};iterateParents(parents,childA);return findParent(parents,childB)}},{key:\"setDirectionStrategy\",value:function setDirectionStrategy(){var isVertical=this.options.hierarchical.direction===\"UD\"||this.options.hierarchical.direction===\"DU\";if(isVertical){this.direction=new VerticalStrategy(this)}else{this.direction=new HorizontalStrategy(this)}}},{key:\"_getCenterPosition\",value:function _getCenterPosition(childNodes){var minPos=1e9;var maxPos=-1e9;for(var i=0;i<childNodes.length;i++){var childNode=void 0;if(childNodes[i].id!==undefined){childNode=childNodes[i]}else{var childNodeId=childNodes[i];childNode=this.body.nodes[childNodeId]}var position=this.direction.getPosition(childNode);minPos=Math.min(minPos,position);maxPos=Math.max(maxPos,position)}return.5*(minPos+maxPos)}}]);return LayoutEngine}();exports[\"default\"]=LayoutEngine},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.VerticalStrategy=exports.HorizontalStrategy=undefined;var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var DirectionInterface=function(){function DirectionInterface(){(0,_classCallCheck3[\"default\"])(this,DirectionInterface)}(0,_createClass3[\"default\"])(DirectionInterface,[{key:\"abstract\",value:function abstract(){throw new Error(\"Can't instantiate abstract class!\")}},{key:\"fake_use\",value:function fake_use(){}},{key:\"curveType\",value:function curveType(){return this.abstract()}},{key:\"getPosition\",value:function getPosition(node){this.fake_use(node);return this.abstract()}},{key:\"setPosition\",value:function setPosition(node,position){var level=arguments.length>2&&arguments[2]!==undefined?arguments[2]:undefined;this.fake_use(node,position,level);this.abstract()}},{key:\"getTreeSize\",value:function getTreeSize(index){this.fake_use(index);return this.abstract()}},{key:\"sort\",value:function sort(nodeArray){this.fake_use(nodeArray);this.abstract()}},{key:\"fix\",value:function fix(node,level){this.fake_use(node,level);this.abstract()}},{key:\"shift\",value:function shift(nodeId,diff){this.fake_use(nodeId,diff);this.abstract()}}]);return DirectionInterface}();var VerticalStrategy=function(_DirectionInterface){(0,_inherits3[\"default\"])(VerticalStrategy,_DirectionInterface);function VerticalStrategy(layout){(0,_classCallCheck3[\"default\"])(this,VerticalStrategy);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(VerticalStrategy.__proto__||(0,_getPrototypeOf2[\"default\"])(VerticalStrategy)).call(this));_this.layout=layout;return _this}(0,_createClass3[\"default\"])(VerticalStrategy,[{key:\"curveType\",value:function curveType(){return\"horizontal\"}},{key:\"getPosition\",value:function getPosition(node){return node.x}},{key:\"setPosition\",value:function setPosition(node,position){var level=arguments.length>2&&arguments[2]!==undefined?arguments[2]:undefined;if(level!==undefined){this.layout.hierarchical.addToOrdering(node,level)}node.x=position}},{key:\"getTreeSize\",value:function getTreeSize(index){var res=this.layout.hierarchical.getTreeSize(this.layout.body.nodes,index);return{min:res.min_x,max:res.max_x}}},{key:\"sort\",value:function sort(nodeArray){nodeArray.sort(function(a,b){if(a.x===undefined||b.x===undefined)return 0;return a.x-b.x})}},{key:\"fix\",value:function fix(node,level){node.y=this.layout.options.hierarchical.levelSeparation*level;node.options.fixed.y=true}},{key:\"shift\",value:function shift(nodeId,diff){this.layout.body.nodes[nodeId].x+=diff}}]);return VerticalStrategy}(DirectionInterface);var HorizontalStrategy=function(_DirectionInterface2){(0,_inherits3[\"default\"])(HorizontalStrategy,_DirectionInterface2);function HorizontalStrategy(layout){(0,_classCallCheck3[\"default\"])(this,HorizontalStrategy);var _this2=(0,_possibleConstructorReturn3[\"default\"])(this,(HorizontalStrategy.__proto__||(0,_getPrototypeOf2[\"default\"])(HorizontalStrategy)).call(this));_this2.layout=layout;return _this2}(0,_createClass3[\"default\"])(HorizontalStrategy,[{key:\"curveType\",value:function curveType(){return\"vertical\"}},{key:\"getPosition\",value:function getPosition(node){return node.y}},{key:\"setPosition\",value:function setPosition(node,position){var level=arguments.length>2&&arguments[2]!==undefined?arguments[2]:undefined;if(level!==undefined){this.layout.hierarchical.addToOrdering(node,level)}node.y=position}},{key:\"getTreeSize\",value:function getTreeSize(index){var res=this.layout.hierarchical.getTreeSize(this.layout.body.nodes,index);return{min:res.min_y,max:res.max_y}}},{key:\"sort\",value:function sort(nodeArray){nodeArray.sort(function(a,b){if(a.y===undefined||b.y===undefined)return 0;return a.y-b.y})}},{key:\"fix\",value:function fix(node,level){node.x=this.layout.options.hierarchical.levelSeparation*level;node.options.fixed.x=true}},{key:\"shift\",value:function shift(nodeId,diff){this.layout.body.nodes[nodeId].y+=diff}}]);return HorizontalStrategy}(DirectionInterface);exports.HorizontalStrategy=HorizontalStrategy;exports.VerticalStrategy=VerticalStrategy},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var ManipulationSystem=function(){function ManipulationSystem(body,canvas,selectionHandler){var _this=this;(0,_classCallCheck3[\"default\"])(this,ManipulationSystem);this.body=body;this.canvas=canvas;this.selectionHandler=selectionHandler;this.editMode=false;this.manipulationDiv=undefined;this.editModeDiv=undefined;this.closeDiv=undefined;this.manipulationHammers=[];this.temporaryUIFunctions={};this.temporaryEventFunctions=[];this.touchTime=0;this.temporaryIds={nodes:[],edges:[]};this.guiEnabled=false;this.inMode=false;this.selectedControlNode=undefined;this.options={};this.defaultOptions={enabled:false,initiallyActive:false,addNode:true,addEdge:true,editNode:undefined,editEdge:true,deleteNode:true,deleteEdge:true,controlNodeStyle:{shape:\"dot\",size:6,color:{background:\"#ff0000\",border:\"#3c3c3c\",highlight:{background:\"#07f968\",border:\"#3c3c3c\"}},borderWidth:2,borderWidthSelected:2}};util.extend(this.options,this.defaultOptions);this.body.emitter.on(\"destroy\",function(){_this._clean()});this.body.emitter.on(\"_dataChanged\",this._restore.bind(this));this.body.emitter.on(\"_resetData\",this._restore.bind(this))}(0,_createClass3[\"default\"])(ManipulationSystem,[{key:\"_restore\",value:function _restore(){if(this.inMode!==false){if(this.options.initiallyActive===true){this.enableEditMode()}else{this.disableEditMode()}}}},{key:\"setOptions\",value:function setOptions(options,allOptions,globalOptions){if(allOptions!==undefined){if(allOptions.locale!==undefined){this.options.locale=allOptions.locale}else{this.options.locale=globalOptions.locale}if(allOptions.locales!==undefined){this.options.locales=allOptions.locales}else{this.options.locales=globalOptions.locales}}if(options!==undefined){if(typeof options===\"boolean\"){this.options.enabled=options}else{this.options.enabled=true;util.deepExtend(this.options,options)}if(this.options.initiallyActive===true){this.editMode=true}this._setup()}}},{key:\"toggleEditMode\",value:function toggleEditMode(){if(this.editMode===true){this.disableEditMode()}else{this.enableEditMode()}}},{key:\"enableEditMode\",value:function enableEditMode(){this.editMode=true;this._clean();if(this.guiEnabled===true){this.manipulationDiv.style.display=\"block\";this.closeDiv.style.display=\"block\";this.editModeDiv.style.display=\"none\";this.showManipulatorToolbar()}}},{key:\"disableEditMode\",value:function disableEditMode(){this.editMode=false;this._clean();if(this.guiEnabled===true){this.manipulationDiv.style.display=\"none\";this.closeDiv.style.display=\"none\";this.editModeDiv.style.display=\"block\";this._createEditButton()}}},{key:\"showManipulatorToolbar\",value:function showManipulatorToolbar(){this._clean();this.manipulationDOM={};if(this.guiEnabled===true){this.editMode=true;this.manipulationDiv.style.display=\"block\";this.closeDiv.style.display=\"block\";var selectedNodeCount=this.selectionHandler._getSelectedNodeCount();var selectedEdgeCount=this.selectionHandler._getSelectedEdgeCount();var selectedTotalCount=selectedNodeCount+selectedEdgeCount;var locale=this.options.locales[this.options.locale];var needSeperator=false;if(this.options.addNode!==false){this._createAddNodeButton(locale);needSeperator=true}if(this.options.addEdge!==false){if(needSeperator===true){this._createSeperator(1)}else{needSeperator=true}this._createAddEdgeButton(locale)}if(selectedNodeCount===1&&typeof this.options.editNode===\"function\"){if(needSeperator===true){this._createSeperator(2)}else{needSeperator=true}this._createEditNodeButton(locale)}else if(selectedEdgeCount===1&&selectedNodeCount===0&&this.options.editEdge!==false){if(needSeperator===true){this._createSeperator(3)}else{needSeperator=true}this._createEditEdgeButton(locale)}if(selectedTotalCount!==0){if(selectedNodeCount>0&&this.options.deleteNode!==false){if(needSeperator===true){this._createSeperator(4)}this._createDeleteButton(locale)}else if(selectedNodeCount===0&&this.options.deleteEdge!==false){if(needSeperator===true){this._createSeperator(4)}this._createDeleteButton(locale)}}this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this));this._temporaryBindEvent(\"select\",this.showManipulatorToolbar.bind(this))}this.body.emitter.emit(\"_redraw\")}},{key:\"addNodeMode\",value:function addNodeMode(){if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"addNode\";if(this.guiEnabled===true){var locale=this.options.locales[this.options.locale];this.manipulationDOM={};this._createBackButton(locale);this._createSeperator();this._createDescription(locale[\"addDescription\"]||this.options.locales[\"en\"][\"addDescription\"]);this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this))}this._temporaryBindEvent(\"click\",this._performAddNode.bind(this))}},{key:\"editNode\",value:function editNode(){var _this2=this;if(this.editMode!==true){this.enableEditMode()}this._clean();var node=this.selectionHandler._getSelectedNode();if(node!==undefined){this.inMode=\"editNode\";if(typeof this.options.editNode===\"function\"){if(node.isCluster!==true){var data=util.deepExtend({},node.options,false);data.x=node.x;data.y=node.y;if(this.options.editNode.length===2){this.options.editNode(data,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this2.inMode===\"editNode\"){_this2.body.data.nodes.getDataSet().update(finalizedData)}_this2.showManipulatorToolbar()})}else{throw new Error(\"The function for edit does not support two arguments (data, callback)\")}}else{alert(this.options.locales[this.options.locale][\"editClusterError\"]||this.options.locales[\"en\"][\"editClusterError\"])}}else{throw new Error(\"No function has been configured to handle the editing of nodes.\")}}else{this.showManipulatorToolbar()}}},{key:\"addEdgeMode\",value:function addEdgeMode(){if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"addEdge\";if(this.guiEnabled===true){var locale=this.options.locales[this.options.locale];this.manipulationDOM={};this._createBackButton(locale);this._createSeperator();this._createDescription(locale[\"edgeDescription\"]||this.options.locales[\"en\"][\"edgeDescription\"]);this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this))}this._temporaryBindUI(\"onTouch\",this._handleConnect.bind(this));this._temporaryBindUI(\"onDragEnd\",this._finishConnect.bind(this));this._temporaryBindUI(\"onDrag\",this._dragControlNode.bind(this));this._temporaryBindUI(\"onRelease\",this._finishConnect.bind(this));this._temporaryBindUI(\"onDragStart\",this._dragStartEdge.bind(this));this._temporaryBindUI(\"onHold\",function(){})}},{key:\"editEdgeMode\",value:function editEdgeMode(){if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"editEdge\";if((0,_typeof3[\"default\"])(this.options.editEdge)===\"object\"&&typeof this.options.editEdge.editWithoutDrag===\"function\"){this.edgeBeingEditedId=this.selectionHandler.getSelectedEdges()[0];if(this.edgeBeingEditedId!==undefined){var edge=this.body.edges[this.edgeBeingEditedId];this._performEditEdge(edge.from,edge.to);return}}if(this.guiEnabled===true){var locale=this.options.locales[this.options.locale];this.manipulationDOM={};this._createBackButton(locale);this._createSeperator();this._createDescription(locale[\"editEdgeDescription\"]||this.options.locales[\"en\"][\"editEdgeDescription\"]);this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this))}this.edgeBeingEditedId=this.selectionHandler.getSelectedEdges()[0];if(this.edgeBeingEditedId!==undefined){var _edge=this.body.edges[this.edgeBeingEditedId];var controlNodeFrom=this._getNewTargetNode(_edge.from.x,_edge.from.y);var controlNodeTo=this._getNewTargetNode(_edge.to.x,_edge.to.y);this.temporaryIds.nodes.push(controlNodeFrom.id);this.temporaryIds.nodes.push(controlNodeTo.id);this.body.nodes[controlNodeFrom.id]=controlNodeFrom;this.body.nodeIndices.push(controlNodeFrom.id);this.body.nodes[controlNodeTo.id]=controlNodeTo;this.body.nodeIndices.push(controlNodeTo.id);this._temporaryBindUI(\"onTouch\",this._controlNodeTouch.bind(this));this._temporaryBindUI(\"onTap\",function(){});this._temporaryBindUI(\"onHold\",function(){});this._temporaryBindUI(\"onDragStart\",this._controlNodeDragStart.bind(this));this._temporaryBindUI(\"onDrag\",this._controlNodeDrag.bind(this));this._temporaryBindUI(\"onDragEnd\",this._controlNodeDragEnd.bind(this));this._temporaryBindUI(\"onMouseMove\",function(){});this._temporaryBindEvent(\"beforeDrawing\",function(ctx){var positions=_edge.edgeType.findBorderPositions(ctx);if(controlNodeFrom.selected===false){controlNodeFrom.x=positions.from.x;controlNodeFrom.y=positions.from.y}if(controlNodeTo.selected===false){controlNodeTo.x=positions.to.x;controlNodeTo.y=positions.to.y}});this.body.emitter.emit(\"_redraw\")}else{this.showManipulatorToolbar()}}},{key:\"deleteSelected\",value:function deleteSelected(){var _this3=this;if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"delete\";var selectedNodes=this.selectionHandler.getSelectedNodes();var selectedEdges=this.selectionHandler.getSelectedEdges();var deleteFunction=undefined;if(selectedNodes.length>0){for(var i=0;i<selectedNodes.length;i++){if(this.body.nodes[selectedNodes[i]].isCluster===true){alert(this.options.locales[this.options.locale][\"deleteClusterError\"]||this.options.locales[\"en\"][\"deleteClusterError\"]);return}}if(typeof this.options.deleteNode===\"function\"){deleteFunction=this.options.deleteNode}}else if(selectedEdges.length>0){if(typeof this.options.deleteEdge===\"function\"){deleteFunction=this.options.deleteEdge}}if(typeof deleteFunction===\"function\"){var data={nodes:selectedNodes,edges:selectedEdges};if(deleteFunction.length===2){deleteFunction(data,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this3.inMode===\"delete\"){_this3.body.data.edges.getDataSet().remove(finalizedData.edges);_this3.body.data.nodes.getDataSet().remove(finalizedData.nodes);_this3.body.emitter.emit(\"startSimulation\");_this3.showManipulatorToolbar()}else{_this3.body.emitter.emit(\"startSimulation\");_this3.showManipulatorToolbar()}})}else{throw new Error(\"The function for delete does not support two arguments (data, callback)\")}}else{this.body.data.edges.getDataSet().remove(selectedEdges);this.body.data.nodes.getDataSet().remove(selectedNodes);this.body.emitter.emit(\"startSimulation\");this.showManipulatorToolbar()}}},{key:\"_setup\",value:function _setup(){if(this.options.enabled===true){this.guiEnabled=true;this._createWrappers();if(this.editMode===false){this._createEditButton()}else{this.showManipulatorToolbar()}}else{this._removeManipulationDOM();this.guiEnabled=false}}},{key:\"_createWrappers\",value:function _createWrappers(){if(this.manipulationDiv===undefined){this.manipulationDiv=document.createElement(\"div\");this.manipulationDiv.className=\"vis-manipulation\";if(this.editMode===true){this.manipulationDiv.style.display=\"block\"}else{this.manipulationDiv.style.display=\"none\"}this.canvas.frame.appendChild(this.manipulationDiv)}if(this.editModeDiv===undefined){this.editModeDiv=document.createElement(\"div\");this.editModeDiv.className=\"vis-edit-mode\";if(this.editMode===true){this.editModeDiv.style.display=\"none\"}else{this.editModeDiv.style.display=\"block\"}this.canvas.frame.appendChild(this.editModeDiv)}if(this.closeDiv===undefined){this.closeDiv=document.createElement(\"div\");this.closeDiv.className=\"vis-close\";this.closeDiv.style.display=this.manipulationDiv.style.display;this.canvas.frame.appendChild(this.closeDiv)}}},{key:\"_getNewTargetNode\",value:function _getNewTargetNode(x,y){var controlNodeStyle=util.deepExtend({},this.options.controlNodeStyle);controlNodeStyle.id=\"targetNode\"+util.randomUUID();controlNodeStyle.hidden=false;controlNodeStyle.physics=false;controlNodeStyle.x=x;controlNodeStyle.y=y;var node=this.body.functions.createNode(controlNodeStyle);node.shape.boundingBox={left:x,right:x,top:y,bottom:y};return node}},{key:\"_createEditButton\",value:function _createEditButton(){this._clean();this.manipulationDOM={};util.recursiveDOMDelete(this.editModeDiv);var locale=this.options.locales[this.options.locale];var button=this._createButton(\"editMode\",\"vis-button vis-edit vis-edit-mode\",locale[\"edit\"]||this.options.locales[\"en\"][\"edit\"]);this.editModeDiv.appendChild(button);this._bindHammerToDiv(button,this.toggleEditMode.bind(this))}},{key:\"_clean\",value:function _clean(){this.inMode=false;if(this.guiEnabled===true){util.recursiveDOMDelete(this.editModeDiv);util.recursiveDOMDelete(this.manipulationDiv);this._cleanManipulatorHammers()}this._cleanupTemporaryNodesAndEdges();this._unbindTemporaryUIs();this._unbindTemporaryEvents();this.body.emitter.emit(\"restorePhysics\")}},{key:\"_cleanManipulatorHammers\",value:function _cleanManipulatorHammers(){if(this.manipulationHammers.length!=0){for(var i=0;i<this.manipulationHammers.length;i++){this.manipulationHammers[i].destroy()}this.manipulationHammers=[]}}},{key:\"_removeManipulationDOM\",value:function _removeManipulationDOM(){this._clean();util.recursiveDOMDelete(this.manipulationDiv);util.recursiveDOMDelete(this.editModeDiv);util.recursiveDOMDelete(this.closeDiv);if(this.manipulationDiv){this.canvas.frame.removeChild(this.manipulationDiv)}if(this.editModeDiv){this.canvas.frame.removeChild(this.editModeDiv)}if(this.closeDiv){this.canvas.frame.removeChild(this.closeDiv)}this.manipulationDiv=undefined;this.editModeDiv=undefined;this.closeDiv=undefined}},{key:\"_createSeperator\",value:function _createSeperator(){var index=arguments.length>0&&arguments[0]!==undefined?arguments[0]:1;this.manipulationDOM[\"seperatorLineDiv\"+index]=document.createElement(\"div\");this.manipulationDOM[\"seperatorLineDiv\"+index].className=\"vis-separator-line\";this.manipulationDiv.appendChild(this.manipulationDOM[\"seperatorLineDiv\"+index])}},{key:\"_createAddNodeButton\",value:function _createAddNodeButton(locale){var button=this._createButton(\"addNode\",\"vis-button vis-add\",locale[\"addNode\"]||this.options.locales[\"en\"][\"addNode\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.addNodeMode.bind(this))}},{key:\"_createAddEdgeButton\",value:function _createAddEdgeButton(locale){var button=this._createButton(\"addEdge\",\"vis-button vis-connect\",locale[\"addEdge\"]||this.options.locales[\"en\"][\"addEdge\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.addEdgeMode.bind(this))}},{key:\"_createEditNodeButton\",value:function _createEditNodeButton(locale){var button=this._createButton(\"editNode\",\"vis-button vis-edit\",locale[\"editNode\"]||this.options.locales[\"en\"][\"editNode\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.editNode.bind(this))}},{key:\"_createEditEdgeButton\",value:function _createEditEdgeButton(locale){var button=this._createButton(\"editEdge\",\"vis-button vis-edit\",locale[\"editEdge\"]||this.options.locales[\"en\"][\"editEdge\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.editEdgeMode.bind(this))}},{key:\"_createDeleteButton\",value:function _createDeleteButton(locale){var deleteBtnClass;if(this.options.rtl){deleteBtnClass=\"vis-button vis-delete-rtl\"}else{deleteBtnClass=\"vis-button vis-delete\"}var button=this._createButton(\"delete\",deleteBtnClass,locale[\"del\"]||this.options.locales[\"en\"][\"del\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.deleteSelected.bind(this))}},{key:\"_createBackButton\",value:function _createBackButton(locale){\nvar button=this._createButton(\"back\",\"vis-button vis-back\",locale[\"back\"]||this.options.locales[\"en\"][\"back\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.showManipulatorToolbar.bind(this))}},{key:\"_createButton\",value:function _createButton(id,className,label){var labelClassName=arguments.length>3&&arguments[3]!==undefined?arguments[3]:\"vis-label\";this.manipulationDOM[id+\"Div\"]=document.createElement(\"div\");this.manipulationDOM[id+\"Div\"].className=className;this.manipulationDOM[id+\"Label\"]=document.createElement(\"div\");this.manipulationDOM[id+\"Label\"].className=labelClassName;this.manipulationDOM[id+\"Label\"].innerHTML=label;this.manipulationDOM[id+\"Div\"].appendChild(this.manipulationDOM[id+\"Label\"]);return this.manipulationDOM[id+\"Div\"]}},{key:\"_createDescription\",value:function _createDescription(label){this.manipulationDiv.appendChild(this._createButton(\"description\",\"vis-button vis-none\",label))}},{key:\"_temporaryBindEvent\",value:function _temporaryBindEvent(event,newFunction){this.temporaryEventFunctions.push({event:event,boundFunction:newFunction});this.body.emitter.on(event,newFunction)}},{key:\"_temporaryBindUI\",value:function _temporaryBindUI(UIfunctionName,newFunction){if(this.body.eventListeners[UIfunctionName]!==undefined){this.temporaryUIFunctions[UIfunctionName]=this.body.eventListeners[UIfunctionName];this.body.eventListeners[UIfunctionName]=newFunction}else{throw new Error(\"This UI function does not exist. Typo? You tried: \"+UIfunctionName+\" possible are: \"+(0,_stringify2[\"default\"])((0,_keys2[\"default\"])(this.body.eventListeners)))}}},{key:\"_unbindTemporaryUIs\",value:function _unbindTemporaryUIs(){for(var functionName in this.temporaryUIFunctions){if(this.temporaryUIFunctions.hasOwnProperty(functionName)){this.body.eventListeners[functionName]=this.temporaryUIFunctions[functionName];delete this.temporaryUIFunctions[functionName]}}this.temporaryUIFunctions={}}},{key:\"_unbindTemporaryEvents\",value:function _unbindTemporaryEvents(){for(var i=0;i<this.temporaryEventFunctions.length;i++){var eventName=this.temporaryEventFunctions[i].event;var boundFunction=this.temporaryEventFunctions[i].boundFunction;this.body.emitter.off(eventName,boundFunction)}this.temporaryEventFunctions=[]}},{key:\"_bindHammerToDiv\",value:function _bindHammerToDiv(domElement,boundFunction){var hammer=new Hammer(domElement,{});hammerUtil.onTouch(hammer,boundFunction);this.manipulationHammers.push(hammer)}},{key:\"_cleanupTemporaryNodesAndEdges\",value:function _cleanupTemporaryNodesAndEdges(){for(var i=0;i<this.temporaryIds.edges.length;i++){this.body.edges[this.temporaryIds.edges[i]].disconnect();delete this.body.edges[this.temporaryIds.edges[i]];var indexTempEdge=this.body.edgeIndices.indexOf(this.temporaryIds.edges[i]);if(indexTempEdge!==-1){this.body.edgeIndices.splice(indexTempEdge,1)}}for(var _i=0;_i<this.temporaryIds.nodes.length;_i++){delete this.body.nodes[this.temporaryIds.nodes[_i]];var indexTempNode=this.body.nodeIndices.indexOf(this.temporaryIds.nodes[_i]);if(indexTempNode!==-1){this.body.nodeIndices.splice(indexTempNode,1)}}this.temporaryIds={nodes:[],edges:[]}}},{key:\"_controlNodeTouch\",value:function _controlNodeTouch(event){this.selectionHandler.unselectAll();this.lastTouch=this.body.functions.getPointer(event.center);this.lastTouch.translation=util.extend({},this.body.view.translation)}},{key:\"_controlNodeDragStart\",value:function _controlNodeDragStart(event){var pointer=this.lastTouch;var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var from=this.body.nodes[this.temporaryIds.nodes[0]];var to=this.body.nodes[this.temporaryIds.nodes[1]];var edge=this.body.edges[this.edgeBeingEditedId];this.selectedControlNode=undefined;var fromSelect=from.isOverlappingWith(pointerObj);var toSelect=to.isOverlappingWith(pointerObj);if(fromSelect===true){this.selectedControlNode=from;edge.edgeType.from=from}else if(toSelect===true){this.selectedControlNode=to;edge.edgeType.to=to}if(this.selectedControlNode!==undefined){this.selectionHandler.selectObject(this.selectedControlNode)}this.body.emitter.emit(\"_redraw\")}},{key:\"_controlNodeDrag\",value:function _controlNodeDrag(event){this.body.emitter.emit(\"disablePhysics\");var pointer=this.body.functions.getPointer(event.center);var pos=this.canvas.DOMtoCanvas(pointer);if(this.selectedControlNode!==undefined){this.selectedControlNode.x=pos.x;this.selectedControlNode.y=pos.y}else{var diffX=pointer.x-this.lastTouch.x;var diffY=pointer.y-this.lastTouch.y;this.body.view.translation={x:this.lastTouch.translation.x+diffX,y:this.lastTouch.translation.y+diffY}}this.body.emitter.emit(\"_redraw\")}},{key:\"_controlNodeDragEnd\",value:function _controlNodeDragEnd(event){var pointer=this.body.functions.getPointer(event.center);var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var edge=this.body.edges[this.edgeBeingEditedId];if(this.selectedControlNode===undefined){return}this.selectionHandler.unselectAll();var overlappingNodeIds=this.selectionHandler._getAllNodesOverlappingWith(pointerObj);var node=undefined;for(var i=overlappingNodeIds.length-1;i>=0;i--){if(overlappingNodeIds[i]!==this.selectedControlNode.id){node=this.body.nodes[overlappingNodeIds[i]];break}}if(node!==undefined&&this.selectedControlNode!==undefined){if(node.isCluster===true){alert(this.options.locales[this.options.locale][\"createEdgeError\"]||this.options.locales[\"en\"][\"createEdgeError\"])}else{var from=this.body.nodes[this.temporaryIds.nodes[0]];if(this.selectedControlNode.id===from.id){this._performEditEdge(node.id,edge.to.id)}else{this._performEditEdge(edge.from.id,node.id)}}}else{edge.updateEdgeType();this.body.emitter.emit(\"restorePhysics\")}this.body.emitter.emit(\"_redraw\")}},{key:\"_handleConnect\",value:function _handleConnect(event){if((new Date).valueOf()-this.touchTime>100){this.lastTouch=this.body.functions.getPointer(event.center);this.lastTouch.translation=util.extend({},this.body.view.translation);var pointer=this.lastTouch;var node=this.selectionHandler.getNodeAt(pointer);if(node!==undefined){if(node.isCluster===true){alert(this.options.locales[this.options.locale][\"createEdgeError\"]||this.options.locales[\"en\"][\"createEdgeError\"])}else{var targetNode=this._getNewTargetNode(node.x,node.y);this.body.nodes[targetNode.id]=targetNode;this.body.nodeIndices.push(targetNode.id);var connectionEdge=this.body.functions.createEdge({id:\"connectionEdge\"+util.randomUUID(),from:node.id,to:targetNode.id,physics:false,smooth:{enabled:true,type:\"continuous\",roundness:.5}});this.body.edges[connectionEdge.id]=connectionEdge;this.body.edgeIndices.push(connectionEdge.id);this.temporaryIds.nodes.push(targetNode.id);this.temporaryIds.edges.push(connectionEdge.id)}}this.touchTime=(new Date).valueOf()}}},{key:\"_dragControlNode\",value:function _dragControlNode(event){var pointer=this.body.functions.getPointer(event.center);if(this.temporaryIds.nodes[0]!==undefined){var targetNode=this.body.nodes[this.temporaryIds.nodes[0]];targetNode.x=this.canvas._XconvertDOMtoCanvas(pointer.x);targetNode.y=this.canvas._YconvertDOMtoCanvas(pointer.y);this.body.emitter.emit(\"_redraw\")}else{var diffX=pointer.x-this.lastTouch.x;var diffY=pointer.y-this.lastTouch.y;this.body.view.translation={x:this.lastTouch.translation.x+diffX,y:this.lastTouch.translation.y+diffY}}}},{key:\"_finishConnect\",value:function _finishConnect(event){var pointer=this.body.functions.getPointer(event.center);var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var connectFromId=undefined;if(this.temporaryIds.edges[0]!==undefined){connectFromId=this.body.edges[this.temporaryIds.edges[0]].fromId}var overlappingNodeIds=this.selectionHandler._getAllNodesOverlappingWith(pointerObj);var node=undefined;for(var i=overlappingNodeIds.length-1;i>=0;i--){if(this.temporaryIds.nodes.indexOf(overlappingNodeIds[i])===-1){node=this.body.nodes[overlappingNodeIds[i]];break}}this._cleanupTemporaryNodesAndEdges();if(node!==undefined){if(node.isCluster===true){alert(this.options.locales[this.options.locale][\"createEdgeError\"]||this.options.locales[\"en\"][\"createEdgeError\"])}else{if(this.body.nodes[connectFromId]!==undefined&&this.body.nodes[node.id]!==undefined){this._performAddEdge(connectFromId,node.id)}}}this.body.emitter.emit(\"_redraw\")}},{key:\"_dragStartEdge\",value:function _dragStartEdge(event){var pointer=this.lastTouch;this.selectionHandler._generateClickEvent(\"dragStart\",event,pointer,undefined,true)}},{key:\"_performAddNode\",value:function _performAddNode(clickData){var _this4=this;var defaultData={id:util.randomUUID(),x:clickData.pointer.canvas.x,y:clickData.pointer.canvas.y,label:\"new\"};if(typeof this.options.addNode===\"function\"){if(this.options.addNode.length===2){this.options.addNode(defaultData,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this4.inMode===\"addNode\"){_this4.body.data.nodes.getDataSet().add(finalizedData);_this4.showManipulatorToolbar()}})}else{this.showManipulatorToolbar();throw new Error(\"The function for add does not support two arguments (data,callback)\")}}else{this.body.data.nodes.getDataSet().add(defaultData);this.showManipulatorToolbar()}}},{key:\"_performAddEdge\",value:function _performAddEdge(sourceNodeId,targetNodeId){var _this5=this;var defaultData={from:sourceNodeId,to:targetNodeId};if(typeof this.options.addEdge===\"function\"){if(this.options.addEdge.length===2){this.options.addEdge(defaultData,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this5.inMode===\"addEdge\"){_this5.body.data.edges.getDataSet().add(finalizedData);_this5.selectionHandler.unselectAll();_this5.showManipulatorToolbar()}})}else{throw new Error(\"The function for connect does not support two arguments (data,callback)\")}}else{this.body.data.edges.getDataSet().add(defaultData);this.selectionHandler.unselectAll();this.showManipulatorToolbar()}}},{key:\"_performEditEdge\",value:function _performEditEdge(sourceNodeId,targetNodeId){var _this6=this;var defaultData={id:this.edgeBeingEditedId,from:sourceNodeId,to:targetNodeId,label:this.body.data.edges._data[this.edgeBeingEditedId].label};var eeFunct=this.options.editEdge;if((typeof eeFunct===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(eeFunct))===\"object\"){eeFunct=eeFunct.editWithoutDrag}if(typeof eeFunct===\"function\"){if(eeFunct.length===2){eeFunct(defaultData,function(finalizedData){if(finalizedData===null||finalizedData===undefined||_this6.inMode!==\"editEdge\"){_this6.body.edges[defaultData.id].updateEdgeType();_this6.body.emitter.emit(\"_redraw\");_this6.showManipulatorToolbar()}else{_this6.body.data.edges.getDataSet().update(finalizedData);_this6.selectionHandler.unselectAll();_this6.showManipulatorToolbar()}})}else{throw new Error(\"The function for edit does not support two arguments (data, callback)\")}}else{this.body.data.edges.getDataSet().update(defaultData);this.selectionHandler.unselectAll();this.showManipulatorToolbar()}}}]);return ManipulationSystem}();exports[\"default\"]=ManipulationSystem},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _FloydWarshall=__webpack_require__(239);var _FloydWarshall2=_interopRequireDefault(_FloydWarshall);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var KamadaKawai=function(){function KamadaKawai(body,edgeLength,edgeStrength){(0,_classCallCheck3[\"default\"])(this,KamadaKawai);this.body=body;this.springLength=edgeLength;this.springConstant=edgeStrength;this.distanceSolver=new _FloydWarshall2[\"default\"]}(0,_createClass3[\"default\"])(KamadaKawai,[{key:\"setOptions\",value:function setOptions(options){if(options){if(options.springLength){this.springLength=options.springLength}if(options.springConstant){this.springConstant=options.springConstant}}}},{key:\"solve\",value:function solve(nodesArray,edgesArray){var ignoreClusters=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var D_matrix=this.distanceSolver.getDistances(this.body,nodesArray,edgesArray);this._createL_matrix(D_matrix);this._createK_matrix(D_matrix);this._createE_matrix();var threshold=.01;var innerThreshold=1;var iterations=0;var maxIterations=Math.max(1e3,Math.min(10*this.body.nodeIndices.length,6e3));var maxInnerIterations=5;var maxEnergy=1e9;var highE_nodeId=0,dE_dx=0,dE_dy=0,delta_m=0,subIterations=0;while(maxEnergy>threshold&&iterations<maxIterations){iterations+=1;var _getHighestEnergyNode2=this._getHighestEnergyNode(ignoreClusters);var _getHighestEnergyNode3=(0,_slicedToArray3[\"default\"])(_getHighestEnergyNode2,4);highE_nodeId=_getHighestEnergyNode3[0];maxEnergy=_getHighestEnergyNode3[1];dE_dx=_getHighestEnergyNode3[2];dE_dy=_getHighestEnergyNode3[3];delta_m=maxEnergy;subIterations=0;while(delta_m>innerThreshold&&subIterations<maxInnerIterations){subIterations+=1;this._moveNode(highE_nodeId,dE_dx,dE_dy);var _getEnergy2=this._getEnergy(highE_nodeId);var _getEnergy3=(0,_slicedToArray3[\"default\"])(_getEnergy2,3);delta_m=_getEnergy3[0];dE_dx=_getEnergy3[1];dE_dy=_getEnergy3[2]}}}},{key:\"_getHighestEnergyNode\",value:function _getHighestEnergyNode(ignoreClusters){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;var maxEnergy=0;var maxEnergyNodeId=nodesArray[0];var dE_dx_max=0,dE_dy_max=0;for(var nodeIdx=0;nodeIdx<nodesArray.length;nodeIdx++){var m=nodesArray[nodeIdx];if(nodes[m].predefinedPosition===false||nodes[m].isCluster===true&&ignoreClusters===true||nodes[m].options.fixed.x===true||nodes[m].options.fixed.y===true){var _getEnergy4=this._getEnergy(m),_getEnergy5=(0,_slicedToArray3[\"default\"])(_getEnergy4,3),delta_m=_getEnergy5[0],dE_dx=_getEnergy5[1],dE_dy=_getEnergy5[2];if(maxEnergy<delta_m){maxEnergy=delta_m;maxEnergyNodeId=m;dE_dx_max=dE_dx;dE_dy_max=dE_dy}}}return[maxEnergyNodeId,maxEnergy,dE_dx_max,dE_dy_max]}},{key:\"_getEnergy\",value:function _getEnergy(m){var _E_sums$m=(0,_slicedToArray3[\"default\"])(this.E_sums[m],2),dE_dx=_E_sums$m[0],dE_dy=_E_sums$m[1];var delta_m=Math.sqrt(Math.pow(dE_dx,2)+Math.pow(dE_dy,2));return[delta_m,dE_dx,dE_dy]}},{key:\"_moveNode\",value:function _moveNode(m,dE_dx,dE_dy){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;var d2E_dx2=0;var d2E_dxdy=0;var d2E_dy2=0;var x_m=nodes[m].x;var y_m=nodes[m].y;var km=this.K_matrix[m];var lm=this.L_matrix[m];for(var iIdx=0;iIdx<nodesArray.length;iIdx++){var i=nodesArray[iIdx];if(i!==m){var x_i=nodes[i].x;var y_i=nodes[i].y;var kmat=km[i];var lmat=lm[i];var denominator=1/Math.pow(Math.pow(x_m-x_i,2)+Math.pow(y_m-y_i,2),1.5);d2E_dx2+=kmat*(1-lmat*Math.pow(y_m-y_i,2)*denominator);d2E_dxdy+=kmat*(lmat*(x_m-x_i)*(y_m-y_i)*denominator);d2E_dy2+=kmat*(1-lmat*Math.pow(x_m-x_i,2)*denominator)}}var A=d2E_dx2,B=d2E_dxdy,C=dE_dx,D=d2E_dy2,E=dE_dy;var dy=(C/A+E/B)/(B/A-D/B);var dx=-(B*dy+C)/A;nodes[m].x+=dx;nodes[m].y+=dy;this._updateE_matrix(m)}},{key:\"_createL_matrix\",value:function _createL_matrix(D_matrix){var nodesArray=this.body.nodeIndices;var edgeLength=this.springLength;this.L_matrix=[];for(var i=0;i<nodesArray.length;i++){this.L_matrix[nodesArray[i]]={};for(var j=0;j<nodesArray.length;j++){this.L_matrix[nodesArray[i]][nodesArray[j]]=edgeLength*D_matrix[nodesArray[i]][nodesArray[j]]}}}},{key:\"_createK_matrix\",value:function _createK_matrix(D_matrix){var nodesArray=this.body.nodeIndices;var edgeStrength=this.springConstant;this.K_matrix=[];for(var i=0;i<nodesArray.length;i++){this.K_matrix[nodesArray[i]]={};for(var j=0;j<nodesArray.length;j++){this.K_matrix[nodesArray[i]][nodesArray[j]]=edgeStrength*Math.pow(D_matrix[nodesArray[i]][nodesArray[j]],-2)}}}},{key:\"_createE_matrix\",value:function _createE_matrix(){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;this.E_matrix={};this.E_sums={};for(var mIdx=0;mIdx<nodesArray.length;mIdx++){this.E_matrix[nodesArray[mIdx]]=[]}for(var _mIdx=0;_mIdx<nodesArray.length;_mIdx++){var m=nodesArray[_mIdx];var x_m=nodes[m].x;var y_m=nodes[m].y;var dE_dx=0;var dE_dy=0;for(var iIdx=_mIdx;iIdx<nodesArray.length;iIdx++){var i=nodesArray[iIdx];if(i!==m){var x_i=nodes[i].x;var y_i=nodes[i].y;var denominator=1/Math.sqrt(Math.pow(x_m-x_i,2)+Math.pow(y_m-y_i,2));this.E_matrix[m][iIdx]=[this.K_matrix[m][i]*(x_m-x_i-this.L_matrix[m][i]*(x_m-x_i)*denominator),this.K_matrix[m][i]*(y_m-y_i-this.L_matrix[m][i]*(y_m-y_i)*denominator)];this.E_matrix[i][_mIdx]=this.E_matrix[m][iIdx];dE_dx+=this.E_matrix[m][iIdx][0];dE_dy+=this.E_matrix[m][iIdx][1]}}this.E_sums[m]=[dE_dx,dE_dy]}}},{key:\"_updateE_matrix\",value:function _updateE_matrix(m){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;var colm=this.E_matrix[m];var kcolm=this.K_matrix[m];var lcolm=this.L_matrix[m];var x_m=nodes[m].x;var y_m=nodes[m].y;var dE_dx=0;var dE_dy=0;for(var iIdx=0;iIdx<nodesArray.length;iIdx++){var i=nodesArray[iIdx];if(i!==m){var cell=colm[iIdx];var oldDx=cell[0];var oldDy=cell[1];var x_i=nodes[i].x;var y_i=nodes[i].y;var denominator=1/Math.sqrt(Math.pow(x_m-x_i,2)+Math.pow(y_m-y_i,2));var dx=kcolm[i]*(x_m-x_i-lcolm[i]*(x_m-x_i)*denominator);var dy=kcolm[i]*(y_m-y_i-lcolm[i]*(y_m-y_i)*denominator);colm[iIdx]=[dx,dy];dE_dx+=dx;dE_dy+=dy;var sum=this.E_sums[i];sum[0]+=dx-oldDx;sum[1]+=dy-oldDy}}this.E_sums[m]=[dE_dx,dE_dy]}}]);return KamadaKawai}();exports[\"default\"]=KamadaKawai},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var FloydWarshall=function(){function FloydWarshall(){(0,_classCallCheck3[\"default\"])(this,FloydWarshall)}(0,_createClass3[\"default\"])(FloydWarshall,[{key:\"getDistances\",value:function getDistances(body,nodesArray,edgesArray){var D_matrix={};var edges=body.edges;for(var i=0;i<nodesArray.length;i++){var node=nodesArray[i];var cell={};D_matrix[node]=cell;for(var j=0;j<nodesArray.length;j++){cell[nodesArray[j]]=i==j?0:1e9}}for(var _i=0;_i<edgesArray.length;_i++){var edge=edges[edgesArray[_i]];if(edge.connected===true&&D_matrix[edge.fromId]!==undefined&&D_matrix[edge.toId]!==undefined){D_matrix[edge.fromId][edge.toId]=1;D_matrix[edge.toId][edge.fromId]=1}}var nodeCount=nodesArray.length;for(var k=0;k<nodeCount;k++){var knode=nodesArray[k];var kcolm=D_matrix[knode];for(var _i2=0;_i2<nodeCount-1;_i2++){var inode=nodesArray[_i2];var icolm=D_matrix[inode];for(var _j=_i2+1;_j<nodeCount;_j++){var jnode=nodesArray[_j];var jcolm=D_matrix[jnode];var val=Math.min(icolm[jnode],icolm[knode]+kcolm[jnode]);icolm[jnode]=val;jcolm[inode]=val}}}return D_matrix}}]);return FloydWarshall}();exports[\"default\"]=FloydWarshall}])});\n",
"type": "application/javascript",
"module-type": "library"
}
}
}
{
"tiddlers": {
"$:/plugins/flibbles/relink/js/bulkops.js": {
"text": "/*\\\nmodule-type: startup\n\nReplaces the relinkTiddler defined in $:/core/modules/wiki-bulkops.js\n\nThis is a startup instead of a wikimethods module-type because it's the only\nway to ensure this runs after the old relinkTiddler method is applied.\n\n\\*/\n(function(){\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nexports.name = \"redefine-relinkTiddler\";\nexports.synchronous = true;\n// load-modules is when wikimethods are applied in\n// ``$:/core/modules/startup/load-modules.js``\nexports.after = ['load-modules'];\n\nexports.startup = function() {\n\t$tw.Wiki.prototype.relinkTiddler = relinkTiddler;\n};\n\n/** Walks through all relinkable tiddlers and relinks them.\n * This replaces the existing function in core Tiddlywiki.\n */\nfunction relinkTiddler(fromTitle, toTitle, options) {\n\tvar self = this;\n\tvar failures = this.eachRelinkableTiddler(\n\t\t\tfromTitle,\n\t\t\ttoTitle,\n\t\t\toptions,\n\t\t\tfunction(changes, tiddler) {\n\t\tvar newTiddler = new $tw.Tiddler(tiddler,changes,self.getModificationFields())\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\tself.addTiddler(newTiddler);\n\t});\n\tif (failures.length > 0) {\n\t\tlanguage.reportFailures(failures);\n\t}\n};\n\n})();\n",
"module-type": "startup",
"title": "$:/plugins/flibbles/relink/js/bulkops.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/errors.js": {
"text": "/*\\\nmodule-type: library\n\nThis is the exception that gets thrown when a relink is impossible.\n (Or the hoops we'd have to go through to make it work are more than the user\n would want Relink to do, like create new tiddlers)\n\\*/\n\nfunction RelinkError() {};\nRelinkError.prototype = Object.create(Error);\nexports.RelinkError = RelinkError;\n\nfunction CannotRelinkError() { };\nCannotRelinkError.prototype = new RelinkError();\nexports.CannotRelinkError = CannotRelinkError\n\nfunction CannotFindMacroDefError(macroName) { this.macroName = macroName; };\nCannotFindMacroDefError.prototype = new RelinkError();\nexports.CannotFindMacroDefError = CannotFindMacroDefError;\n//Cannot find definition for ${macroName}. Make sure your macro whitelist is configured properly, and that you're macro is globally defined, or defined in all the places it's used.\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/errors.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/language.js": {
"text": "/*\\\nmodule-type: library\n\nThis handles all logging and alerts Relink emits.\n\n\\*/\n\nexports.logRelink = function(message, args, options) {\n\tif (options.quiet) {\n\t\treturn;\n\t}\n\tvar raw = exports.log[message];\n\tif (raw) {\n\t\t// This is cheap, but whatevs. To do a proper\n\t\t// rendering would require working through a wiki\n\t\t// object. Too heavy weight for log messages.\n\t\tvar msg = raw.replace(/<<([^<>]+)>>/g, function(match, key) {\n\t\t\treturn args[key] || (\"<<\"+key+\">>\");\n\t\t});\n\t\tif (raw.indexOf('%c') >= 0) {\n\t\t\t// Doing a little bit of bold so the user sees\n\t\t\t// where we had to jump through hoops.\n\t\t\tconsole.log(\"%c\" + msg, \"\", \"font-weight: bold;\");\n\t\t} else {\n\t\t\tconsole.log(msg);\n\t\t}\n\t} else {\n\t\tconsole.warn(\"No such log message: \" + message);\n\t}\n};\n\nexports.getString = function(title, options) {\n\ttitle = \"$:/plugins/flibbles/relink/language/\" + title;\n\treturn options.wiki.renderTiddler(\"text/plain\", title,\n\t {variables: options.variables});\n};\n\nexports.failureAlert = \"Relink was unable to update the following tiddlers due to the complexity of the title:\";\n\nexports.reportFailures = function(failureList) {\n\tvar reportList = failureList.map(function(f) {return \"\\n \" + f});\n\tconsole.warn(exports.failureAlert + reportList);\n};\n\nexports.log = {\n\t\"attribute\": \"Renaming '<<from>>' to '<<to>>' in <<<element>> <<attribute>> /> attribute of tiddler '<<tiddler>>'\",\n\t\"attribute-placeholder\": \"Renaming '<<from>>' to '<<to>>' in <<<element>> <<attribute>> /> attribute of tiddler '<<tiddler>>' %cby creating placeholder macros\",\n\t\"field\": \"Renaming '<<from>>' to '<<to>>' in <<field>> of tiddler '<<tiddler>>'\",\n\t\"filteredtransclude\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>'\",\n\t\"filteredtransclude-placeholder\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>' %cby creating placeholder macros\",\n\t\"filteredtransclude-placeholder-widget\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"filteredtransclude-widget\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>' %cby converting it into a widget\",\n\t\"import\": \"Renaming '<<from>>' to '<<to>>' in \\\\import filter of tiddler '<<tiddler>>'\",\n\t\"import-placeholder\": \"Renaming '<<from>>' to '<<to>>' in \\\\import filter of tiddler '<<tiddler>>' %cby creating placeholder macros\",\n\t\"macrodef\": \"Renaming '<<from>>' to '<<to>>' in <<macro>> definition of tiddler '<<tiddler>>'\",\n\t\"macrodef-placeholder\": \"Renaming '<<from>>' to '<<to>>' in <<macro>> definition of tiddler '<<tiddler>>' %cby creating more placeholder macros\",\n\t\"prettylink\": \"Renaming '<<from>>' to '<<to>>' in prettylink of tiddler '<<tiddler>>'\",\n\t\"prettylink-placeholder\": \"Renaming '<<from>>' to '<<to>>' in prettylink of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"prettylink-widget\": \"Renaming '<<from>>' to '<<to>>' in prettylink of tiddler '<<tiddler>>' %cby converting it into a widget\",\n\t\"transclude\": \"Renaming '<<from>>' to '<<to>>' in transclusion of tiddler '<<tiddler>>'\",\n\t\"transclude-placeholder\": \"Renaming '<<from>>' to '<<to>>' in transclusion of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"transclude-widget\": \"Renaming '<<from>>' to '<<to>>' in transclusion of tiddler '<<tiddler>>' %cby converting it into a widget\",\n\t\"wikilink\": \"Renaming '<<from>>' to '<<to>>' in CamelCase link of tiddler '<<tiddler>>'\",\n\t\"wikilink-placeholder\": \"Renaming '<<from>>' to '<<to>>' in CamelCase link of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"wikilink-pretty\": \"Renaming '<<from>>' to '<<to>>' in CamelCase link of tiddler '<<tiddler>>' %cby converting it into a prettylink\"\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/language.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/settings.js": {
"text": "/*\\\nmodule-type: library\n\nThis handles the fetching and distribution of relink settings.\n\n\\*/\n\nvar fieldTypes = Object.create(null);\n\n$tw.modules.forEachModuleOfType(\"relinkfieldtype\", function(title, exports) {\n\tfieldTypes[exports.name] = exports;\n\t// For legacy reasons, some of the field types can go by other names\n\tif (exports.aliases) {\n\t\t$tw.utils.each(exports.aliases, function(alias) {\n\t\t\tfieldTypes[alias] = exports;\n\t\t});\n\t}\n});\n\n/**Returns a specific relinker.\n * This is useful for wikitext rules which need to parse a filter or a list\n */\nexports.getRelinker = function(name) {\n\treturn fieldTypes[name];\n};\n\nexports.getAttributes = function(options) {\n\treturn getSettings(options).attributes;\n};\n\nexports.getFields = function(options) {\n\treturn getSettings(options).fields;\n};\n\nexports.getMacros = function(options) {\n\treturn getSettings(options).macros;\n};\n\nexports.getOperators = function(options) {\n\treturn getSettings(options).operators;\n};\n\n/**Factories define methods that create settings given config tiddlers.\n * for factory method 'example', it will be called once for each:\n * \"$:/config/flibbles/relink/example/...\" tiddler that exists.\n * the argument \"key\" will be set to the contents of \"...\"\n *\n * The reason I build relink settings in this convoluted way is to minimize\n * the number of times tiddlywiki has to run through EVERY tiddler looking\n * for relink config tiddlers.\n *\n * Also, by exporting \"factories\", anyone who extends relink can patch in\n * their own factory methods to create settings that are generated exactly\n * once per rename.\n */\nexports.factories = {\n\tattributes: function(attributes, tiddler, key) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\tvar elem = root(key);\n\t\t\tvar attr = key.substr(elem.length+1);\n\t\t\tattributes[elem] = attributes[elem] || Object.create(null);\n\t\t\tattributes[elem][attr] = relinker;\n\t\t}\n\t},\n\tfields: function(fields, tiddler, name) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\tfields[name] = relinker;\n\t\t}\n\t},\n\tmacros: function(macros, tiddler, key) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\t// We take the last index, not the first, because macro\n\t\t\t// parameters can't have slashes, but macroNames can.\n\t\t\tvar name = dir(key);\n\t\t\tvar arg = key.substr(name.length+1);\n\t\t\tmacros[name] = macros[name] || Object.create(null);\n\t\t\tmacros[name][arg] = relinker;\n\t\t}\n\t},\n\toperators: function(operators, tiddler, name) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\toperators[name] = relinker;\n\t\t}\n\t}\n};\n\n/**We're caching the generated settings inside of options. Not exactly how\n * options was meant to be used, but it's fiiiiine.\n * The wiki global cache isn't a great place, because it'll get cleared many\n * times during a bulk relinking operation, and we can't recalculate this every\n * time without exploding a rename operation's time.\n * options works great. It only lasts just as long as the rename.\n * No longer, no shorter.\n */\nfunction getSettings(options) {\n\tvar secretCache = \"__relink_settings\";\n\tvar cache = options[secretCache];\n\tif (cache === undefined) {\n\t\tcache = options[secretCache] = compileSettings(options.wiki);\n\t}\n\treturn cache;\n};\n\nfunction compileSettings(wiki) {\n\tvar prefix = \"$:/config/flibbles/relink/\";\n\tvar settings = Object.create(null);\n\tfor (var name in exports.factories) {\n\t\tsettings[name] = Object.create(null);\n\t}\n\twiki.eachShadowPlusTiddlers(function(tiddler, title) {\n\t\tif (title.substr(0, prefix.length) === prefix) {\n\t\t\tvar remainder = title.substr(prefix.length);\n\t\t\tvar category = root(remainder);\n\t\t\tvar factory = exports.factories[category];\n\t\t\tif (factory) {\n\t\t\t\tvar name = remainder.substr(category.length+1);\n\t\t\t\tfactory(settings[category], tiddler, name);\n\t\t\t}\n\t\t}\n\t});\n\treturn settings;\n};\n\n/* Returns first bit of a path. path/to/tiddler -> path\n */\nfunction root(string) {\n\tvar index = string.indexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n};\n\n/* Returns all but the last bit of a path. path/to/tiddler -> path/to\n */\nfunction dir(string) {\n\tvar index = string.lastIndexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n}\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/settings.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/wikimethods.js": {
"text": "/*\\\nmodule-type: wikimethod\n\nIntroduces some utility methods used by Relink.\n\n\\*/\n\nvar errors = require('$:/plugins/flibbles/relink/js/errors');\n\nvar relinkOperations = Object.create(null);\n$tw.modules.applyMethods('relinkoperator', relinkOperations);\n\n/**Walks through all non-shadow tiddlers and sees which ones need to be relinked\n *\n * For each one, calls method on it with arguments (changes, tiddler, title)\n * Returns a list of tiddlers it would fail to update.\n */\nexports.eachRelinkableTiddler = function(fromTitle, toTitle, options, method) {\n\tvar data = this.getRelinkableTiddlers(fromTitle, toTitle, options);\n\tfor (var title in data.changes) {\n\t\tmethod(data.changes[title], this.getTiddler(title), title);\n\t}\n\treturn data.failures;\n};\n\n/** Returns a pair like this,\n * { changes: {...}, failures: [] }\n */\nexports.getRelinkableTiddlers = function(fromTitle, toTitle, options) {\n\tvar cache = this.getGlobalCache(\"relink-\"+fromTitle, function() {\n\t\treturn Object.create(null);\n\t});\n\tif (!cache[toTitle]) {\n\t\tcache[toTitle] = getFreshRelinkableTiddlers(this, fromTitle, toTitle, options);\n\t}\n\treturn cache[toTitle];\n};\n\nfunction getFreshRelinkableTiddlers(wiki, fromTitle, toTitle, options) {\n\toptions = options || {};\n\toptions.wiki = options.wiki || wiki;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\tvar failures = [];\n\tvar changeList = Object.create(null);\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tvar toUpdate = getRelinkFilter(wiki);\n\t\tvar tiddlerList = toUpdate.call(wiki); // no source or widget\n\t\tfor (var i = 0; i < tiddlerList.length; i++) {\n\t\t\tvar title = tiddlerList[i];\n\t\t\tvar tiddler = wiki.getTiddler(title);\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(tiddler\n\t\t\t&& !tiddler.fields[\"plugin-type\"]\n\t\t\t&& tiddler.fields.type !== \"application/javascript\") {\n\t\t\t\ttry {\n\t\t\t\t\tvar changes = Object.create(null);\n\t\t\t\t\tfor (var operation in relinkOperations) {\n\t\t\t\t\t\trelinkOperations[operation](tiddler, fromTitle, toTitle, changes, options);\n\t\t\t\t\t}\n\t\t\t\t\t// If any fields changed, update tiddler\n\t\t\t\t\tif(Object.keys(changes).length > 0) {\n\t\t\t\t\t\tchangeList[title] = changes;\n\t\t\t\t\t}\n\t\t\t\t} catch (e) {\n\t\t\t\t\tif (e instanceof errors.RelinkError) {\n\t\t\t\t\t\tfailures.push(title);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Should we test for instanceof Error instead?: yes\n\t\t\t\t\t\t// Does that work in the testing environment?: no\n\t\t\t\t\t\tif (e.message) {\n\t\t\t\t\t\t\te.message = e.message + \"\\nWhen relinking '\" + title + \"'\";\n\t\t\t\t\t\t}\n\t\t\t\t\t\tthrow e;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn {changes: changeList, failures: failures};\n};\n\nfunction getRelinkFilter(wiki) {\n\tvar toUpdate = \"$:/config/flibbles/relink/to-update\";\n\treturn wiki.getCacheForTiddler(toUpdate, \"relink-toUpdate\", function() {\n\t\tvar tiddler = wiki.getTiddler(toUpdate);\n\t\tif (tiddler) {\n\t\t\tvar filter = wiki.compileFilter(tiddler.fields.text);\n\t\t\treturn filter;\n\t\t} else {\n\t\t\treturn wiki.allTitles;\n\t\t}\n\t});\n};\n\n/**Returns a list of tiddlers that would be renamed by a relink operations.\n */\nexports.relinkTiddlerDryRun = function(fromTitle, toTitle, options) {\n\tvar results = [];\n\tthis.eachRelinkableTiddler(\n\t\t\tfromTitle,\n\t\t\ttoTitle,\n\t\t\toptions,\n\t\t\tfunction(changes, tiddler, title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\nvar ImportVariablesWidget = require(\"$:/core/modules/widgets/importvariables.js\").importvariables;\n\nexports.relinkGlobalMacros = function() {\n\tif (!this._relinkWidget) {\n\t\tvar importWidget = this.relinkGenerateVariableWidget( \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\");\n\t\tthis.addEventListener(\"change\", function(changes) {\n\t\t\timportWidget.refresh(changes);\n\t\t});\n\t\tthis._relinkWidget = importWidget;\n\t}\n\tvar rtn = this._relinkWidget;\n\twhile (rtn.children.length > 0) {\n\t\trtn = rtn.children[0];\n\t}\n\treturn rtn;\n};\n\nexports.relinkGenerateVariableWidget = function(filter, parent) {\n\tvar treeNode = { attributes: {\n\t\t\"filter\": {\n\t\t\ttype: \"string\",\n\t\t\tvalue: filter\n\t\t}\n\t}};\n\tvar importWidget = new ImportVariablesWidget(treeNode,{parentWidget: parent, wiki: this});\n\timportWidget.computeAttributes();\n\timportWidget.execute();\n\t// These two functions neuter the widget, so it never tries\n\t// to render.\n\timportWidget.findNextSiblingDomNode = function() {};\n\timportWidget.renderChildren(this.parentDomNode);\n\treturn importWidget;\n};\n",
"module-type": "wikimethod",
"title": "$:/plugins/flibbles/relink/js/wikimethods.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/impossible.js": {
"text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven an input of toTitles, (probably just one), outputs all the tiddlers in\nwhich Relink would fail to update the operand to any of those given titles.\n\n`[[{terrible'}!!\"title\"]relink:impossible[fromTiddler]]`\n\nWould output all the tiddlers where Relink would fail to update `from here` to\n`{terrible'}!!\"title\"`\n\nI know, it's weird. You'd think it would test all incoming inputs instead of\nusing them as to fromTitle, but this is the only way to input both a fromTitle\nand a toTitle.\n\nResults are dominantly appanded if more than one input tiddler is given.\n\\*/\n\nexports.impossible = function(source,operator,options) {\n\tvar fromTitle = operator.operand,\n\t\tresults = [];\n\tif (fromTitle) {\n\t\tsource(function(toTiddler, toTitle) {\n\t\t\tvar fails = options.wiki.eachRelinkableTiddler(\n\t\t\t\tfromTitle, toTitle,\n\t\t\t\t$tw.utils.extend({quiet: true}, options),\n\t\t\t\tfunction(tiddler, title) {});\n\t\t\t$tw.utils.pushTop(results, fails);\n\t\t});\n\t}\n\treturn results;\n};\n",
"module-type": "relinkfilteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/impossible.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/references.js": {
"text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven a title as an operand, returns all non-shadow tiddlers that have any\nsort of updatable reference to it.\n\n\n`relink:references[fromTiddler]]`\n\nReturns all tiddlers that reference `fromTiddler` somewhere inside them.\n\nInput is ignored. Maybe it shouldn't do this.\nAlso, maybe it should properly recon, instead of fake replacing the title with\n`__relink_dummy__`\n\\*/\n\nexports.references = function(source,operator,options) {\n\tvar fromTitle = operator.operand,\n\t\tresults = [];\n\tif (fromTitle) {\n\t\toptions.wiki.eachRelinkableTiddler(\n\t\t\tfromTitle, \"__relink_dummy__\",\n\t\t\t$tw.utils.extend({quiet: true}, options),\n\t\t\tfunction(changes, tiddler, title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t}\n\treturn results;\n};\n",
"module-type": "relinkfilteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/references.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/relink.js": {
"text": "/*\\\nmodule-type: filteroperator\n\nThis filter acts as a namespace for several small, simple filters, such as\n\n`[relink:impossible[]]`\n\n\\*/\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nvar relinkFilterOperators;\n\nfunction getRelinkFilterOperators() {\n\tif(!relinkFilterOperators) {\n\t\trelinkFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"relinkfilteroperator\",\n\t\t relinkFilterOperators);\n\t}\n\treturn relinkFilterOperators;\n}\n\nexports.relink = function(source,operator,options) {\n\tvar suffixPair = parseSuffix(operator.suffix);\n\tvar relinkFilterOperator = getRelinkFilterOperators()[suffixPair[0]];\n\tif (relinkFilterOperator) {\n\t\tvar newOperator = $tw.utils.extend({}, operator);\n\t\tnewOperator.suffix = suffixPair[1];\n\t\treturn relinkFilterOperator(source, newOperator, options);\n\t} else {\n\t\treturn [language.getString(\"Error/RelinkFilterOperator\", options)];\n\t}\n};\n\nfunction parseSuffix(suffix) {\n\tvar index = suffix? suffix.indexOf(\":\"): -1;\n\tif (index >= 0) {\n\t\treturn [suffix.substr(0, index), suffix.substr(index+1)];\n\t} else {\n\t\treturn [suffix];\n\t}\n}\n",
"module-type": "filteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/relink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/splitafter.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: relinkfilteroperator\n\nFilter operator that splits each result on the last occurance of the specified separator and returns the last bit.\n\nWhat does this have to do with relink? Nothing. I need this so I can render\nthe configuration menu. I //could// use [splitregexp[]], but then I'd be\nlimited to Tiddlywiki v5.1.20 or later.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitafter = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar index = title.lastIndexOf(operator.operand);\n\t\tif(index < 0) {\n\t\t\t$tw.utils.pushTop(results,title);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,title.substr(index+1));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n\n",
"title": "$:/plugins/flibbles/relink/js/filteroperators/splitafter.js",
"type": "application/javascript",
"module-type": "relinkfilteroperator"
},
"$:/plugins/flibbles/relink/js/fieldtypes/filter.js": {
"text": "/*\\\nThis specifies logic for updating filters to reflect title changes.\n\\*/\n\n/**Returns undefined if no change was made.\n */\n\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\n\nexports.name = \"filter\";\n\nexports.relink = function(filter, fromTitle, toTitle, options) {\n\tif (!filter || filter.indexOf(fromTitle) < 0) {\n\t\treturn undefined;\n\t}\n\tvar relinker = new Rebuilder(filter);\n\tvar whitelist = settings.getOperators(options);\n\tvar p = 0, // Current position in the filter string\n\t\tmatch, noPrecedingWordBarrier,\n\t\twordBarrierRequired=false;\n\tvar whitespaceRegExp = /\\s+/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filter.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filter);\n\t\tnoPrecedingWordBarrier = false;\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t} else if (p != 0) {\n\t\t\tif (wordBarrierRequired) {\n\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\twordBarrierRequired = false;\n\t\t\t} else {\n\t\t\t\tnoPrecedingWordBarrier = true;\n\t\t\t}\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filter.length) {\n\t\t\tvar val;\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filter);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\t// It's a bad filter\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tif(match[1]) { // prefix\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\t// We check if this is a standalone title,\n\t\t\t\t// like `[[MyTitle]]`. We treat those like\n\t\t\t\t// `\"MyTitle\"` or `MyTitle`. Not like a run.\n\t\t\t\tvar standaloneTitle = /\\[\\[([^\\]]+)\\]\\]/g;\n\t\t\t\tstandaloneTitle.lastIndex = p;\n\t\t\t\tvar alone = standaloneTitle.exec(filter);\n\t\t\t\tif (!alone || alone.index != p) {\n\t\t\t\t\t// It's a legit run\n\t\t\t\t\tp =parseFilterOperation(relinker,fromTitle,toTitle,filter,p,whitelist,options);\n\t\t\t\t\tif (p === undefined) {\n\t\t\t\t\t\t// The filter is malformed\n\t\t\t\t\t\t// We do nothing.\n\t\t\t\t\t\treturn undefined;\n\t\t\t\t\t}\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tbracketTitle = alone[1];\n\t\t\t\toperandRegExp.lastIndex = standaloneTitle.lastIndex;\n\t\t\t\tval = alone[1];\n\t\t\t} else {\n\t\t\t\t// standalone Double quoted string, single\n\t\t\t\t// quoted string, or noquote ahead.\n\t\t\t\tval = match[3] || match[4] || match[5];\n\t\t\t}\n\t\t\t// From here on, we're dealing with a standalone title\n\t\t\t// expression. like `\"MyTitle\"` or `[[MyTitle]]`\n\t\t\t// We're much more flexible about relinking these.\n\t\t\tvar preference = undefined;\n\t\t\tif (match[3]) {\n\t\t\t\tpreference = '\"';\n\t\t\t} else if (match[4]) {\n\t\t\t\tpreference = \"'\";\n\t\t\t} else if (match[5]) {\n\t\t\t\tpreference = '';\n\t\t\t}\n\t\t\tif (val === fromTitle) {\n\t\t\t\tvar newVal = wrapTitle(toTitle, preference);\n\t\t\t\tif (newVal === undefined) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\tthrow new CannotRelinkError();\n\t\t\t\t\t}\n\t\t\t\t\tnewVal = \"[<\"+options.placeholder.getPlaceholderFor(toTitle)+\">]\";\n\t\t\t\t\toptions.usedPlaceholder = true;\n\t\t\t\t}\n\t\t\t\tif (newVal[0] != '[') {\n\t\t\t\t\t// not bracket enclosed\n\t\t\t\t\t// this requires whitespace\n\t\t\t\t\t// arnound it\n\t\t\t\t\tif (noPrecedingWordBarrier && !match[1]) {\n\t\t\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\t\t}\n\t\t\t\t\twordBarrierRequired = true;\n\t\t\t\t}\n\t\t\t\trelinker.add(newVal,p,operandRegExp.lastIndex);\n\t\t\t}\n\t\t\tp = operandRegExp.lastIndex;\n\t\t}\n\t}\n\treturn relinker.results();\n};\n\nfunction wrapTitle(value, preference) {\n\tvar choices = {\n\t\t\"\": function(v) {return !/[\\s\\[\\]]/.test(v); },\n\t\t\"[\": canBePrettyOperand,\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; }\n\t};\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"[\": function(v) {return \"[[\"+v+\"]]\"; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; }\n\t};\n\tif (choices[preference]) {\n\t\tif (choices[preference](value)) {\n\t\t\treturn wrappers[preference](value);\n\t\t}\n\t}\n\tfor (var quote in choices) {\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrappers[quote](value);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n}\n\nfunction parseFilterOperation(relinker, fromTitle, toTitle, filterString, p, whitelist, options) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\tp++;\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing [ in filter expression\n\t\t\treturn undefined;\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\tvar ref = $tw.utils.parseTextReference(operand);\n\t\t\t\tif (ref.title === fromTitle) {\n\t\t\t\t\tif(!canBePrettyIndirect(toTitle)) {\n\t\t\t\t\t\tthrow new CannotRelinkError();\n\t\t\t\t\t}\n\t\t\t\t\tref.title = toTitle;\n\t\t\t\t\tvar newRef = refHandler.toString(ref);\n\t\t\t\t\t// We don't check the whitelist.\n\t\t\t\t\t// All indirect operands convert.\n\t\t\t\t\trelinker.add(newRef,p,nextBracketPos);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Check if this is a relevant operator\n\t\t\t\tvar handler = fieldType(whitelist, operator);\n\t\t\t\tif (!handler) {\n\t\t\t\t\t// This operator isn't managed. Bye.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tvar result = handler.relink(operand, fromTitle, toTitle, options);\n\t\t\t\tif (!result) {\n\t\t\t\t\t// The fromTitle wasn't in the operand.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tvar wrapped;\n\t\t\t\tif (!canBePrettyOperand(result)) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\tthrow new CannotRelinkError();\n\t\t\t\t\t}\n\t\t\t\t\tvar ph = options.placeholder.getPlaceholderFor(result);\n\t\t\t\t\twrapped = \"<\"+ph+\">\";\n\t\t\t\t\toptions.usedPlaceholder = true;\n\t\t\t\t} else {\n\t\t\t\t\twrapped = \"[\"+result+\"]\";\n\t\t\t\t}\n\t\t\t\trelinker.add(wrapped, p-1, nextBracketPos+1);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\t// Unterminated regular expression\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing closing bracket in filter expression\n\t\t\t// return undefined;\n\t\t}\n\t\tp = nextBracketPos + 1;\n\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\t// Missing ] in filter expression\n\t\treturn undefined;\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n// Returns the relinker needed for a given operator, or returns undefined.\nfunction fieldType(whitelist, operator) {\n\treturn whitelist[operator.operator] ||\n\t (operator.suffix &&\n\t whitelist[operator.operator + \":\" + operator.suffix]);\n};\n\nfunction canBePrettyOperand(value) {\n\treturn value.indexOf(']') < 0;\n};\n\nfunction canBePrettyIndirect(value) {\n\treturn value.indexOf('}') < 0;\n};\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/filter.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/list.js": {
"text": "/*\\\nThis manages replacing titles that occur within stringLists, like,\n\nTiddlerA [[Tiddler with spaces]] [[Another Title]]\n\\*/\n\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\n\nexports.name = \"list\";\n\n/**Returns undefined if no change was made.\n * Parameter: value can literally be a list. This can happen for builtin\n * types 'list' and 'tag'. In those cases, we also return list.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar isModified = false,\n\t\tactualList = false,\n\t\tlist;\n\tif (typeof value !== \"string\") {\n\t\t// Not a string. Must be a list.\n\t\t// clone it, since we may make changes to this possibly\n\t\t// frozen list.\n\t\tlist = (value || []).slice(0);\n\t\tactualList = true;\n\t} else {\n\t\tlist = $tw.utils.parseStringArray(value || \"\");\n\t}\n\t$tw.utils.each(list,function (title,index) {\n\t\tif(title === fromTitle) {\n\t\t\tlist[index] = toTitle;\n\t\t\tisModified = true;\n\t\t}\n\t});\n\tif (isModified) {\n\t\t// It doesn't parse correctly alone, it won't\n\t\t// parse correctly in any list.\n\t\tif (!canBeListItem(toTitle)) {\n\t\t\tthrow new CannotRelinkError();\n\t\t}\n\t\tif (actualList) {\n\t\t\treturn list;\n\t\t} else {\n\t\t\treturn $tw.utils.stringifyList(list);\n\t\t}\n\t}\n\treturn undefined;\n};\n\nfunction canBeListItem(value) {\n\tvar regexp = /\\]\\][^\\S\\xA0]/m;\n\treturn !regexp.test(value);\n};\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/list.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/reference.js": {
"text": "/*\\\nThis manages replacing titles that occur inside text references,\n\ntiddlerTitle\ntiddlerTitle!!field\n!!field\ntiddlerTitle##propertyIndex\n\\*/\n\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\n\nexports.name = \"reference\";\n\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar reference = $tw.utils.parseTextReference(value);\n\tif (reference.title !== fromTitle) {\n\t\treturn undefined;\n\t}\n\treference.title = toTitle;\n\treturn exports.toString(reference);\n};\n\nexports.toString = function(textReference) {\n\tvar title = textReference.title || '';\n\tif (!exports.canBePretty(title)) {\n\t\tthrow new CannotRelinkError();\n\t}\n\tif (textReference.field) {\n\t\treturn title + \"!!\" + textReference.field;\n\t} else if (textReference.index) {\n\t\treturn title + \"##\" + textReference.index;\n\t}\n\treturn title;\n};\n\nexports.canBePretty = function(title) {\n\treturn title.indexOf(\"!!\") < 0 && title.indexOf(\"##\") < 0;\n};\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/reference.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/title.js": {
"text": "/*\\\nThis specifies logic for replacing a single-tiddler field. This is the\nsimplest kind of field type. One title swaps out for the other.\n\\*/\n\n// NOTE TO MODDERS: If you're making your own field types, the name must be\n// alpha characters only.\nexports.name = 'title';\n\n/**Returns undefined if no change was made.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tif (value === fromTitle) {\n\t\treturn toTitle;\n\t}\n\treturn undefined;\n};\n\n// This is legacy support for when 'title' was known as 'field'\nexports.aliases = ['field', 'yes'];\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/title.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/fields.js": {
"text": "/*\\\n\nHandles all fields specified in the plugin configuration. Currently, this\nonly supports single-value fields.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\n\nexports['fields'] = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar fields = settings.getFields(options);\n\t$tw.utils.each(fields, function(handler, field) {\n\t\tvar input = tiddler.fields[field];\n\t\tvar value = handler.relink(input, fromTitle, toTitle, options);\n\t\tif (value !== undefined) {\n\t\t\tlog(\"field\", {\n\t\t\t\tfrom: fromTitle,\n\t\t\t\tto: toTitle,\n\t\t\t\ttiddler: tiddler.fields.title,\n\t\t\t\tfield: descriptor(field)\n\t\t\t}, options);\n\t\t\tchanges[field] = value;\n\t\t}\n\t});\n};\n\nfunction descriptor(field) {\n\tif (field === \"tags\") {\n\t\treturn \"tags\";\n\t} else {\n\t\treturn field + \" field\" ;\n\t}\n};\n",
"module-type": "relinkoperator",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/fields.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text.js": {
"text": "/*\\\n\nDepending on the tiddler type, this will apply textOperators which may\nrelink titles within the body.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar defaultOperator = \"text/vnd.tiddlywiki\";\n\nvar textOperators = Object.create(null);\n$tw.modules.applyMethods('relinktextoperator', textOperators);\n\nexports['text'] = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar text = tiddler.fields.text,\n\t\tbuilder = [],\n\t\tbuildIndex = 0;\n\tif (text && text.indexOf(fromTitle) >= 0) {\n\t\tvar type = tiddler.fields.type || defaultOperator;\n\t\tif (textOperators[type]) {\n\t\t\ttextOperators[type].call(this, tiddler, fromTitle, toTitle, changes, options);\n\t\t}\n\t}\n};\n",
"module-type": "relinkoperator",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js": {
"text": "/*\\\n\nChecks for fromTitle in a tiddler's text. If found, sees if it's relevant,\nand tries to swap it out if it is.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar type = 'text/vnd.tiddlywiki';\nvar WikiParser = require(\"$:/core/modules/parsers/wikiparser/wikiparser.js\")[type];\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder.js\");\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar rules = Object.create(null);\n\n$tw.modules.forEachModuleOfType(\"relinkwikitextrule\", function(title, exports) {\n\tvar names = exports.name;\n\tif (typeof names === \"string\") {\n\t\tnames = [names];\n\t}\n\tfor (var i = 0; i < names.length; i++) {\n\t\trules[names[i]] = exports;\n\t}\n});\n\nfunction WikiRelinker(text, title, toTitle, options) {\n\tWikiParser.call(this, null, text, options);\n\tif (!this.relinkMethodsInjected) {\n\t\t$tw.utils.each([this.pragmaRuleClasses, this.blockRuleClasses, this.inlineRuleClasses], function(classList) {\n\t\t\tfor (var name in classList) {\n\t\t\t\tif (rules[name]) {\n\t\t\t\t\tdelete rules[name].name;\n\t\t\t\t\t$tw.utils.extend(classList[name].prototype, rules[name]);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tWikiRelinker.prototype.relinkMethodsInjected = true;\n\t}\n\tthis.title = title;\n\tthis.toTitle = toTitle;\n\tthis.inlineRules = this.blockRules.concat(this.pragmaRules, this.inlineRules);\n\t// We work through relinkRules so we can change it later.\n\t// relinkRules is inlineRules so it gets touched up by amendRules().\n\tthis.relinkRules = this.inlineRules;\n\tthis.placeholders = Object.create(null);\n\tthis.reverseMap = Object.create(null);\n\tthis.knownMacros = Object.create(null);\n\tthis.widget = undefined;\n};\n\nWikiRelinker.prototype = Object.create(WikiParser.prototype);\nWikiRelinker.prototype.parsePragmas = function() {return []; };\nWikiRelinker.prototype.parseInlineRun = function() {};\nWikiRelinker.prototype.parseBlocks = function() {};\n\nWikiRelinker.prototype.getPlaceholderFor = function(value, category) {\n\tvar placeholder = this.reverseMap[value];\n\tif (placeholder) {\n\t\treturn placeholder;\n\t}\n\tvar number = 0;\n\tvar prefix = \"relink-\"\n\tif (category && category !== \"title\") {\n\t\t// I don't like \"relink-title-1\". \"relink-1\" should be for\n\t\t// titles. lists, and filters can have descriptors though.\n\t\tprefix += category + \"-\";\n\t}\n\tdo {\n\t\tnumber += 1;\n\t\tplaceholder = prefix + number;\n\t} while (this.knownMacros[placeholder]);\n\tthis.placeholders[placeholder] = value;\n\tthis.reverseMap[value] = placeholder;\n\tthis.reserve(placeholder);\n\treturn placeholder;\n};\n\nWikiRelinker.prototype.addWidget = function(widget) {\n\tthis.widget = widget;\n\twhile (this.widget.children.length > 0) {\n\t\tthis.widget = this.widget.children[0];\n\t}\n};\n\nWikiRelinker.prototype.getVariableWidget = function() {\n\tif (!this.widget) {\n\t\tthis.widget = this.wiki.relinkGlobalMacros();\n\t\tvar parentWidget = new Widget({}, {parentWidget: this.widget});\n\t\tparentWidget.setVariable(\"currentTiddler\", this.title);\n\t\tvar widget = new Widget({}, {parentWidget: parentWidget});\n\t\tthis.addWidget(widget);\n\t}\n\treturn this.widget;\n};\n\nWikiRelinker.prototype.reserve = function(macro) {\n\tthis.knownMacros[macro] = true;\n};\n\nWikiRelinker.prototype.getPreamble = function() {\n\tvar results = [];\n\tfor (var name in this.placeholders) {\n\t\tvar val = this.placeholders[name];\n\t\tresults.push(\"\\\\define \"+name+\"() \"+val+\"\\n\");\n\t}\n\tif (results.length > 0) {\n\t\treturn results.join('');\n\t} else {\n\t\treturn undefined;\n\t}\n};\n\nexports[type] = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar text = tiddler.fields.text,\n\t\tbuilder = new Rebuilder(text),\n\t\tparser = new WikiRelinker(text, tiddler.fields.title, toTitle, options),\n\t\tmatchingRule;\n\twhile (matchingRule = parser.findNextMatch(parser.relinkRules, parser.pos)) {\n\t\tif (matchingRule.rule.relink) {\n\t\t\tvar newSegment = matchingRule.rule.relink(tiddler, text, fromTitle, toTitle, options);\n\t\t\tif (newSegment !== undefined) {\n\t\t\t\tbuilder.add(newSegment, matchingRule.matchIndex, parser.pos);\n\t\t\t}\n\t\t} else {\n\t\t\tif (matchingRule.rule.matchRegExp !== undefined) {\n\t\t\t\tparser.pos = matchingRule.rule.matchRegExp.lastIndex;\n\t\t\t} else {\n\t\t\t\t// We can't easily determine the end of this\n\t\t\t\t// rule match. We'll \"parse\" it so that\n\t\t\t\t// parser.pos gets updated, but we throw away\n\t\t\t\t// the results.\n\t\t\t\tmatchingRule.rule.parse();\n\t\t\t}\n\t\t}\n\t}\n\tif (builder.changed()) {\n\t\tbuilder.prepend(parser.getPreamble());\n\t\tchanges.text = builder.results();\n\t}\n};\n",
"module-type": "relinktextoperator",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles comment blocks. Or rather //doesn't// handle them, since we should\nignore their contents.\n\n\"<!-- [[Renamed Title]] -->\" will remain unchanged.\n\n\\*/\n\nexports.name = [\"commentinline\", \"commentblock\"];\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\treturn undefined;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of filtered transclusions in wiki text like,\n\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n\nThis renames both the list and the template field.\n\n\\*/\n\nexports.name = ['filteredtranscludeinline', 'filteredtranscludeblock'];\n\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/settings\").getRelinker('filter');\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar utils = require(\"./utils.js\");\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar m = this.match;\n\t\tfilter = m[1],\n\t\ttooltip = m[2],\n\t\ttemplate = m[3],\n\t\tstyle = m[4],\n\t\tclasses = m[5],\n\t\tparser = this.parser,\n\t\tlogArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t};\n\tparser.pos = this.matchRegExp.lastIndex;\n\tvar modified = false;\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t// preserves user-inputted whitespace\n\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\tvar relinkedFilter = filterHandler.relink(filter, fromTitle, toTitle, extendedOptions);\n\tvar message = \"filteredtransclude\";\n\tif (extendedOptions.usedPlaceholder) {\n\t\tmessage = \"filteredtransclude-placeholder\";\n\t}\n\tif (relinkedFilter !== undefined) {\n\t\tfilter = relinkedFilter;\n\t\tmodified = true;\n\t}\n\tif (!modified) {\n\t\treturn undefined;\n\t}\n\tif (canBePretty(filter) && canBePrettyTemplate(template)) {\n\t\tlog(message, logArguments, options);\n\t\treturn prettyList(filter, tooltip, template, style, classes);\n\t}\n\tmessage = message + \"-widget\";\n\tif (classes !== undefined) {\n\t\tclasses = classes.split('.').join(' ');\n\t}\n\tfunction wrap(name, value, treatAsTitle) {\n\t\tif (!value) {\n\t\t\treturn '';\n\t\t}\n\t\tvar wrappedValue = utils.wrapAttributeValue(value);\n\t\tif (wrappedValue === undefined) {\n\t\t\tvar category = treatAsTitle ? undefined : name;\n\t\t\twrappedValue = \"<<\"+parser.getPlaceholderFor(value,category)+\">>\";\n\t\t\tmessage = \"filteredtransclude-placeholder-widget\";\n\t\t}\n\t\treturn \" \"+name+\"=\"+wrappedValue;\n\t};\n\tvar widget = [\n\t\t\"<$list\",\n\t\twrap(\"filter\", filter),\n\t\twrap(\"tooltip\", tooltip),\n\t\twrap(\"template\", template, true),\n\t\twrap(\"style\", style),\n\t\twrap(\"itemClass\", classes),\n\t\t\"/>\"\n\t].join('');\n\tlog(message, logArguments, options);\n\treturn widget;\n};\n\nfunction canBePretty(filter) {\n\treturn filter.indexOf('|') < 0 && filter.indexOf('}}') < 0;\n};\n\nfunction canBePrettyTemplate(template) {\n\treturn !template || (\n\t\ttemplate.indexOf('|') < 0\n\t\t&& template.indexOf('{') < 0\n\t\t&& template.indexOf('}') < 0);\n};\n\nfunction prettyList(filter, tooltip, template, style, classes) {\n\tif (tooltip === undefined) {\n\t\ttooltip = '';\n\t} else {\n\t\ttooltip = \"|\" + tooltip;\n\t}\n\tif (template === undefined) {\n\t\ttemplate = '';\n\t} else {\n\t\ttemplate = \"||\" + template;\n\t}\n\tif (classes === undefined) {\n\t\tclasses = '';\n\t} else {\n\t\tclasses = \".\" + classes;\n\t}\n\tstyle = style || '';\n\treturn \"{{{\"+filter+tooltip+template+\"}}\"+style+\"}\"+classes;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in attributes of widgets and html elements\nThis is configurable to select exactly which attributes of which elements\nshould be changed.\n\n<$link to=\"TiddlerTitle\" />\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar html = require(\"$:/core/modules/parsers/wikiparser/rules/html.js\");\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/settings\").getRelinker('filter');\nvar macrocall = require(\"./macrocall.js\");\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\n\nexports.name = \"html\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar managedElement = settings.getAttributes(options)[this.nextTag.tag],\n\t\tbuilder = new Rebuilder(text, this.nextTag.start);\n\tvar importFilterAttr;\n\tfor (var attributeName in this.nextTag.attributes) {\n\t\tvar attr = this.nextTag.attributes[attributeName];\n\t\tvar nextEql = text.indexOf('=', attr.start);\n\t\t// This is the rare case of changing tiddler\n\t\t// \"true\" to something else when \"true\" is\n\t\t// implicit, like <$link to /> We ignore those.\n\t\tif (nextEql < 0 || nextEql > attr.end) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\timportFilterAttr = attr;\n\t\t}\n\t\tvar oldValue, quote, logMessage = \"attribute\";\n\t\tif (attr.type === \"string\") {\n\t\t\tvar handler = getAttributeHandler(this.nextTag, attributeName, options);\n\t\t\tif (!handler) {\n\t\t\t\t// We don't manage this attribute. Bye.\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\t\t\toldValue = attr.value;\n\t\t\tvar value = handler.relink(attr.value, fromTitle, toTitle, extendedOptions);\n\t\t\tif (value === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (extendedOptions.usedPlaceholder) {\n\t\t\t\tlogMessage = \"attribute-placeholder\";\n\t\t\t}\n\t\t\tquote = utils.determineQuote(text, attr);\n\t\t\tattr.quotedValue = utils.wrapAttributeValue(value,quote);\n\t\t\tif (attr.quotedValue === undefined) {\n\t\t\t\t// The value was unquotable. We need to make\n\t\t\t\t// a macro in order to replace it.\n\t\t\t\tvalue = this.parser.getPlaceholderFor(value,handler.name)\n\t\t\t\tattr.type = \"macro\";\n\t\t\t\tattr.quotedValue = \"<<\"+value+\">>\";\n\t\t\t\tlogMessage = \"attribute-placeholder\";\n\t\t\t}\n\t\t\tattr.value = value;\n\t\t} else if (attr.type === \"indirect\") {\n\t\t\tif (toTitle.indexOf(\"}\") >= 0) {\n\t\t\t\t// Impossible replacement\n\t\t\t\tthrow new CannotRelinkError();\n\t\t\t}\n\t\t\toldValue = attr.textReference;\n\t\t\tquote = \"{{\";\n\t\t\tvar ref = $tw.utils.parseTextReference(attr.textReference);\n\t\t\tif (ref.title !== fromTitle) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tref.title = toTitle;\n\t\t\tattr.textReference = refHandler.toString(ref);\n\t\t\tattr.quotedValue = \"{{\"+attr.textReference+\"}}\";\n\t\t} else if (attr.type === \"filtered\") {\n\t\t\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\t\t\toldValue = attr.filter\n\t\t\tvar filter = filterHandler.relink(attr.filter, fromTitle, toTitle, extendedOptions);\n\t\t\tif (filter === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (!canBeFilterValue(filter)) {\n\t\t\t\t// Although I think we can actually do this one.\n\t\t\t\tthrow new CannotRelinkError();\n\t\t\t}\n\t\t\tattr.filter = filter;\n\t\t\tattr.quotedValue = \"{{{\" + filter + \"}}}\";\n\t\t\tquote = \"{{{\";\n\t\t} else if (attr.type === \"macro\") {\n\t\t\tvar macro = attr.value;\n\t\t\toldValue = attr.value;\n\t\t\tvar newMacro = macrocall.relinkMacroInvocation(macro, text, this.parser, fromTitle, toTitle, options);\n\t\t\tif (newMacro === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (macrocall.mustBeAWidget(newMacro)) {\n\t\t\t\tthrow new CannotRelinkError();\n\t\t\t}\n\t\t\tattr.value = newMacro;\n\t\t\t// TODO: Let's not hack like this. attr.value is\n\t\t\t// expected to be a string of the unquoted value below.\n\t\t\t// Make this better when I can.\n\t\t\toldValue.length = (macro.end-macro.start)-4;\n\t\t\tquote = \"<<\";\n\t\t\tattr.quotedValue = macrocall.macroToString(newMacro, text, this.parser, options);\n\t\t} else {\n\t\t\tcontinue;\n\t\t}\n\t\t// account for the quote if it's there.\n\t\t// We count backwards from the end to preserve whitespace\n\t\tvar valueStart = attr.end\n\t\t - (quote.length*2)\n\t\t - oldValue.length;\n\t\tbuilder.add(attr.quotedValue, valueStart, attr.end);\n\t\tvar logArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title,\n\t\t\telement: this.nextTag.tag,\n\t\t\tattribute: attributeName\n\t\t};\n\t\tlog(logMessage, logArguments, options);\n\t}\n\tif (importFilterAttr) {\n\t\tvar importFilter = computeAttribute(importFilterAttr, this.parser, options);\n\t\tvar parentWidget = this.parser.getVariableWidget();\n\t\tvar varHolder = options.wiki.relinkGenerateVariableWidget(importFilter, parentWidget);\n\t\tthis.parser.addWidget(varHolder);\n\t}\n\tthis.parser.pos = this.nextTag.end;\n\treturn builder.results(this.nextTag.end);\n};\n\n/** Returns the field handler for the given attribute of the given widget.\n * If this returns undefined, it means we don't handle it. So skip.\n */\nfunction getAttributeHandler(widget, attributeName, options) {\n\tif (widget.tag === \"$macrocall\") {\n\t\tvar nameAttr = widget.attributes[\"$name\"];\n\t\tvar macro = settings.getMacros(options)[nameAttr.value];\n\t\tif (macro) {\n\t\t\treturn macro[attributeName];\n\t\t}\n\t} else {\n\t\tvar element = settings.getAttributes(options)[widget.tag];\n\t\tif (element) {\n\t\t\treturn element[attributeName];\n\t\t}\n\t}\n\treturn undefined;\n};\n\nfunction computeAttribute(attribute, parser, options) {\n\tvar value;\n\tif(attribute.type === \"filtered\") {\n\t\tvar parentWidget = parser.getVariableWidget();\n\t\tvalue = options.wiki.filterTiddlers(attribute.filter,parentWidget)[0] || \"\";\n\t} else if(attribute.type === \"indirect\") {\n\t\tvar parentWidget = parser.getVariableWidget();\n\t\tvalue = options.wiki.getTextReference(attribute.textReference,\"\",parentWidget.variables.currentTiddler.value);\n\t} else if(attribute.type === \"macro\") {\n\t\tvar parentWidget = parser.getVariableWidget();\n\t\tvalue = parentWidget.getVariable(attribute.value.name,{params: attribute.value.params});\n\t} else { // String attribute\n\t\tvalue = attribute.value;\n\t}\n\treturn value;\n};\n\nfunction canBeFilterValue(value) {\n\treturn value.indexOf(\"}}}\") < 0 && value.substr(value.length-2) !== '}}';\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles import pragmas\n\n\\import [tag[MyTiddler]]\n\\*/\n\nvar settings = require(\"$:/plugins/flibbles/relink/js/settings.js\");\nvar log = require(\"$:/plugins/flibbles/relink/js/language.js\").logRelink;\nvar filterRelinker = settings.getRelinker('filter');\n\nexports.name = \"import\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\t// In this one case, I'll let the parser parse out the filter and move\n\t// the ptr.\n\tvar start = this.matchRegExp.lastIndex;\n\tvar parseTree = this.parse();\n\tvar filter = parseTree[0].attributes.filter.value;\n\n\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser},options);\n\tvar value = filterRelinker.relink(filter, fromTitle, toTitle, extendedOptions);\n\tvar rtn = undefined;\n\tif (value !== undefined) {\n\t\tvar message = extendedOptions.usedPlaceholder ? \"import-placeholder\" : \"import\";\n\t\tlog(message, {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t}, options);\n\t\tvar newline = text.substring(start+filter.length, this.parser.pos);\n\t\tfilter = value;\n\t\trtn = \"\\\\import \" + value + newline;\n\t}\n\n\t// Before we go, we need to actually import the variables\n\t// it's calling for.\n\tvar parentWidget = this.parser.getVariableWidget();\n\tvar variableHolder = options.wiki.relinkGenerateVariableWidget(filter, parentWidget);\n\tthis.parser.addWidget(variableHolder);\n\n\treturn rtn;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles macro calls.\n\n<<myMacro '[[MyFilter]]' 'myTitle'>>\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar CannotFindMacroDefError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotFindMacroDefError;\n\nexports.name = [\"macrocallinline\", \"macrocallblock\"];\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2],\n\t\tmacroText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar start = this.matchRegExp.lastIndex - this.match[0].length;\n\tvar managedMacro = settings.getMacros(options)[macroName];\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tvar offset = macroName.length+2;\n\toffset = $tw.utils.skipWhiteSpace(macroText, offset);\n\tvar params = parseParams(paramString, offset+start);\n\tvar macroInfo = {\n\t\tname: macroName,\n\t\tstart: start,\n\t\tend: this.matchRegExp.lastIndex,\n\t\tparams: params\n\t};\n\tvar results = this.relinkMacroInvocation(macroInfo, text, this.parser, fromTitle, toTitle, options);\n\tif (results) {\n\t\treturn this.macroToString(results, text, this.parser, options);\n\t} else {\n\t\treturn undefined;\n\t}\n};\n\n/**Processes the given macro,\n * macro: {name:, params:, start:, end:}\n * each parameters: {name:, end:, value:}\n * Macro invocation returned is the same, but relinked, and may have new keys:\n * parameters: {type: macro, start:, newValue: (quoted replacement value)}\n */\nexports.relinkMacroInvocation = function(macro, text, parser, fromTitle, toTitle, options) {\n\tvar managedMacro = settings.getMacros(options)[macro.name];\n\tvar modified = false;\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tif (macro.params.every(function(p) {\n\t\treturn p.value.indexOf(fromTitle) < 0;\n\t})) {\n\t\t// We cut early if the fromTitle doesn't even appear\n\t\t// anywhere in the title. This is to avoid any headache\n\t\t// about finding macro definitions (and any resulting\n\t\t// exceptions if there isn't even a title to replace.\n\t\treturn undefined;\n\t}\n\tvar outMacro = $tw.utils.extend({}, macro);\n\toutMacro.params = macro.params.slice();\n\tfor (var managedArg in managedMacro) {\n\t\tvar index = getParamIndexWithinMacrocall(macro.name, managedArg, macro.params, parser, options);\n\t\tif (index < 0) {\n\t\t\t// this arg either was not supplied, or we can't find\n\t\t\t// the definition, so we can't tie it to an anonymous\n\t\t\t// argument. Either way, move on to the next.\n\t\t\tcontinue;\n\t\t}\n\t\tvar param = macro.params[index];\n\t\tvar handler = managedMacro[managedArg];\n\t\tvar extendedOptions = $tw.utils.extend({placeholder: parser}, options);\n\t\tvar value = handler.relink(param.value, fromTitle, toTitle, extendedOptions);\n\t\tif (value === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\tvar quote = utils.determineQuote(text, param);\n\t\tvar quoted = utils.wrapAttributeValue(value, quote, ['', \"'\", '\"', '[[', '\"\"\"']);\n\t\tvar newParam = $tw.utils.extend({}, param);\n\t\tif (quoted === undefined) {\n\t\t\tvar ph = parser.getPlaceholderFor(value,handler.name);\n\t\t\tnewParam.newValue = \"<<\"+ph+\">>\";\n\t\t\tnewParam.type = \"macro\";\n\t\t} else {\n\t\t\tnewParam.start = newParam.end - (newParam.value.length + (quote.length*2));\n\t\t\tnewParam.value = value;\n\t\t\tnewParam.newValue = quoted;\n\t\t}\n\t\toutMacro.params[index] = newParam;\n\t\tmodified = true;\n\t}\n\tif (modified) {\n\t\treturn outMacro;\n\t}\n\treturn undefined;\n};\n\nexports.mustBeAWidget = function(macro) {\n\tfor (var i = 0; i < macro.params.length; i++) {\n\t\tif (macro.params[i].type === \"macro\") {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false\n};\n\n/**Given a macro object ({name:, params:, start: end:}), and the text where\n * it was parsed from, returns a new macro that maintains any syntactic\n * structuring.\n */\nexports.macroToString = function(macro, text, parser, options) {\n\tif (exports.mustBeAWidget(macro)) {\n\t\tvar names = getParamNames(macro.name, macro.params, parser, options);\n\t\tvar attrs = [];\n\t\tfor (var i = 0; i < macro.params.length; i++) {\n\t\t\tvar p = macro.params[i];\n\t\t\tvar val;\n\t\t\tif (p.newValue) {\n\t\t\t\tval = p.newValue;\n\t\t\t} else {\n\t\t\t\tval = utils.wrapAttributeValue(p.value);\n\t\t\t}\n\t\t\tattrs.push(\" \"+names[i]+\"=\"+val);\n\t\t}\n\t\treturn \"<$macrocall $name=\"+utils.wrapAttributeValue(macro.name)+attrs.join('')+\"/>\";\n\t} else {\n\t\tvar builder = new Rebuilder(text, macro.start);\n\t\tfor (var i = 0; i < macro.params.length; i++) {\n\t\t\tvar param = macro.params[i];\n\t\t\tif (param.newValue) {\n\t\t\t\tbuilder.add(param.newValue, param.start, param.end);\n\t\t\t}\n\t\t}\n\t\treturn builder.results(macro.end);\n\t}\n};\n\nfunction getParamIndexWithinMacrocall(macroName, param, params, parser, options) {\n\tvar index, i;\n\tfor (i = 0; i < params.length; i++) {\n\t\tif (params[i].name === param) {\n\t\t\treturn i;\n\t\t}\n\t}\n\tvar expectedIndex = indexOfParameterDef(macroName, param, parser, options);\n\t// We've got to skip over all the named parameter instances.\n\tif (expectedIndex >= 0) {\n\t\tvar anonI = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (params[i].name === undefined) {\n\t\t\t\tif (anonI === expectedIndex) {\n\t\t\t\t\treturn i;\n\t\t\t\t}\n\t\t\t\tanonI++;\n\t\t\t} else {\n\t\t\t\tvar indexOfOther = indexOfParameterDef(macroName, params[i].name, parser, options);\n\t\t\t\tif (indexOfOther < expectedIndex) {\n\t\t\t\t\tanonI++;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn -1;\n};\n\n// Looks up the definition of a macro, and figures out what the expected index\n// is for the given parameter.\nfunction indexOfParameterDef(macroName, paramName, parser, options) {\n\tvar def = getDefinition(macroName, parser, options);\n\tvar params = def.params || [];\n\tfor (var i = 0; i < params.length; i++) {\n\t\tif (params[i].name === paramName) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn -1;\n};\n\nfunction getParamNames(macroName, params, parser, options) {\n\tvar used = Object.create(null);\n\tvar rtn = new Array(params.length);\n\tvar anonsExist = false;\n\tvar i;\n\tfor (i = 0; i < params.length; i++) {\n\t\tvar name = params[i].name;\n\t\tif (name) {\n\t\t\trtn[i] = name;\n\t\t\tused[name] = true;\n\t\t} else {\n\t\t\tanonsExist = true;\n\t\t}\n\t}\n\tif (anonsExist) {\n\t\tvar defParams = getDefinition(macroName, parser, options).params || [];\n\t\tvar defPtr = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (rtn[i] === undefined) {\n\t\t\t\twhile(defPtr < defParams.length && used[defParams[defPtr].name]) {\n\t\t\t\t\tdefPtr++;\n\t\t\t\t}\n\t\t\t\tif (defPtr >= defParams.length) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\trtn[i] = defParams[defPtr].name;\n\t\t\t\tused[defParams[defPtr].name] = true;\n\t\t\t}\n\t\t}\n\t}\n\treturn rtn;\n};\n\n/** Returns undefined if the definition cannot be found.\n */\nfunction getDefinition (macroName, parser, options) {\n\tvar variableContainer = parser.getVariableWidget();\n\tvar def = variableContainer.variables[macroName];\n\tif (!def) {\n\t\t// Check with the macro modules\n\t\tif ($tw.utils.hop($tw.macros, macroName)) {\n\t\t\tdef = $tw.macros[macroName];\n\t\t} else {\n\t\t\tthrow new CannotFindMacroDefError(macroName);\n\t\t}\n\t}\n\treturn def;\n};\n\nfunction parseParams(paramString, pos) {\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\t//paramInfo.start = pos;\n\t\tparamInfo.end = reParam.lastIndex + pos;\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn params;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles pragma macro definitions. Except we only update placeholder macros\nthat we may have previously install.\n\n\\define relink-?() Tough title\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar settings = require(\"$:/plugins/flibbles/relink/js/settings\");\n\nexports.name = \"macrodef\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar setParseTreeNode = this.parse();\n\tvar parentWidget = this.parser.getVariableWidget();\n\tvar setWidget = parentWidget.makeChildWidget(setParseTreeNode[0]);\n\tsetWidget.computeAttributes();\n\tsetWidget.execute();\n\tthis.parser.addWidget(setWidget);\n\t// Parse set the pos pointer, but we don't want to skip the macro body.\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar m = this.match;\n\t// This macro is not available should we need to make one.\n\tthis.parser.reserve(m[1]);\n\t// !m[3] means it's not a multiline macrodef\n\tvar placeholder = /^relink-(?:(\\w+)-)?(\\d+)$/.exec(m[1]);\n\tif (placeholder && m[2] === '' && !m[3]) {\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(text, this.parser.pos);\n\t\tvar valueRegExp = /([^\\n\\r]+)(\\r?\\n)/mg;\n\t\tvalueRegExp.lastIndex = this.parser.pos;\n\t\tvar match = valueRegExp.exec(text);\n\t\tif (match) {\n\t\t\tvar handler = settings.getRelinker(placeholder[1] || 'title');\n\t\t\t\t// This is a filter\n\t\t\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\t\t\tvar value = handler.relink(match[1], fromTitle, toTitle, extendedOptions);\n\t\t\tif (value !== undefined) {\n\t\t\t\tvar message = \"macrodef\";\n\t\t\t\tif (extendedOptions.usedPlaceholder) {\n\t\t\t\t\tmessage = \"macrodef-placeholder\";\n\t\t\t\t}\n\t\t\t\tlog(message, {\n\t\t\t\t\tfrom: fromTitle,\n\t\t\t\t\tto: toTitle,\n\t\t\t\t\ttiddler: tiddler.fields.title,\n\t\t\t\t\tmacro: m[1]\n\t\t\t\t}, options);\n\t\t\t\tthis.parser.pos += match[0].length;\n\t\t\t\treturn \"\\\\define \"+m[1]+\"() \"+value+match[2];\n\t\t\t}\n\t\t}\n\t}\n\treturn undefined;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in wiki text inline rules, like,\n\n[[Introduction]]\n\n[[link description|TiddlerTitle]]\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar utils = require(\"./utils.js\");\n\nexports.name = \"prettylink\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar caption, quoted, m = this.match;\n\tif (m[2] === fromTitle) {\n\t\t// format is [[caption|MyTiddler]]\n\t\tcaption = m[1];\n\t} else if (m[2] !== undefined || m[1] !== fromTitle) {\n\t\t// format is [[MyTiddler]], and it doesn't match\n\t\treturn undefined;\n\t}\n\tvar logArguments = {\n\t\tfrom: fromTitle,\n\t\tto: toTitle,\n\t\ttiddler: tiddler.fields.title\n\t};\n\tif (utils.canBePretty(toTitle)) {\n\t\tlog(\"prettylink\", logArguments, options);\n\t\treturn prettyLink(toTitle, caption);\n\t} else if (caption === undefined) {\n\t\t// If we don't have a caption, we have to resort to placeholders\n\t\t// anyway to prevent link/caption desync from later relinks.\n\t\t// It doesn't matter whether the toTitle is quotable\n\t\tlog(\"prettylink-placeholder\", logArguments, options);\n\t\tvar ph = this.parser.getPlaceholderFor(toTitle);\n\t\treturn \"<$link to=<<\"+ph+\">>><$text text=<<\"+ph+\">>/></$link>\";\n\t} else if (quoted = utils.wrapAttributeValue(toTitle)) {\n\t\tlog(\"prettylink-widget\", logArguments, options);\n\t\treturn \"<$link to=\"+quoted+\">\"+caption+\"</$link>\";\n\t} else {\n\t\tlog(\"prettylink-placeholder\", logArguments, options);\n\t\tvar ph = this.parser.getPlaceholderFor(toTitle);\n\t\treturn \"<$link to=<<\"+ph+\">>>\"+caption+\"</$link>\";\n\t}\n};\n\nfunction prettyLink(title, caption) {\n\tif (caption) {\n\t\treturn \"[[\" + caption + \"|\" + title + \"]]\";\n\t} else {\n\t\treturn \"[[\" + title + \"]]\";\n\t}\n};\n\nfunction isSafe(value) {\n\treturn value.indexOf(\"]]\") < 0 && value[value.length-1] !== ']';\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nParses and acknowledges any pragma rules a tiddler has.\n\n\\rules except html wikilink\n\n\\*/\n\nexports.name = \"rules\";\n\n/**This is all we have to do. The rules rule doesn't parse. It just amends\n * the rules, which is exactly what I want it to do too.\n * It also takes care of moving the pos pointer forward.\n */\nexports.relink = function() { this.parse(); };\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of transclusions in wiki text like,\n\n{{RenamedTiddler}}\n{{RenamedTiddler||TemplateTitle}}\n\nThis renames both the tiddler and the template field.\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar utils = require(\"./utils.js\");\n\nexports.name = ['transcludeinline', 'transcludeblock'];\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar m = this.match,\n\t\treference = m[1],\n\t\ttemplate = m[2],\n\t\tquoted,\n\t\tlogArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t};\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar trimmedRef = $tw.utils.trim(reference);\n\tvar ref = $tw.utils.parseTextReference(trimmedRef);\n\t// This block takes care of 99% of all cases\n\tif (canBePrettyTemplate(toTitle) &&\n\t\t// title part has one extra restriction\n\t (ref.title !== fromTitle || refHandler.canBePretty(toTitle))) {\n\t\tvar modified = false;\n\t\tif (ref.title === fromTitle) {\n\t\t\tmodified = true;\n\t\t\tref.title = toTitle;\n\t\t\tvar refString = refHandler.toString(ref);\n\t\t\t// preserve user's whitespace\n\t\t\treference = reference.replace(trimmedRef, refString);\n\t\t}\n\t\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t\tmodified = true;\n\t\t\t// preserve user's whitespace\n\t\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\t}\n\t\tif (modified) {\n\t\t\tlog(\"transclude\", logArguments, options);\n\t\t\treturn prettyTransclude(reference, template);\n\t\t}\n\t\treturn undefined;\n\t}\n\t// Now for the 1%...\n\tif (ref.title === fromTitle) {\n\t\tvar resultTitle = utils.wrapAttributeValue(toTitle);\n\t\tif (resultTitle === undefined) {\n\t\t\tresultTitle = \"<<\"+this.parser.getPlaceholderFor(toTitle)+\">>\";\n\t\t\tlog(\"transclude-placeholder\", logArguments, options);\n\t\t} else {\n\t\t\tlog(\"transclude-widget\", logArguments, options);\n\t\t}\n\t\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t\t// Now for this bizarre-ass use-case, where both the\n\t\t\t// title and template are being replaced.\n\t\t\tvar attrs = this.transcludeAttributes(ref.field, ref.index);\n\t\t\treturn \"<$tiddler tiddler=\"+resultTitle+\"><$transclude tiddler=\"+resultTitle+attrs+\"/></$tiddler>\";\n\t\t} else {\n\t\t\tref.title = undefined;\n\t\t\treturn \"<$tiddler tiddler=\"+resultTitle+\">\"+prettyTransclude(ref, template)+\"</$tiddler>\";\n\t\t}\n\t}\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\tvar resultTemplate = utils.wrapAttributeValue(toTitle);\n\t\tvar message = \"transclude-widget\";\n\t\tvar rtn;\n\t\tif (resultTemplate === undefined) {\n\t\t\tresultTemplate = \"<<\"+this.parser.getPlaceholderFor(toTitle)+\">>\";\n\t\t\tmessage = \"transclude-placeholder\";\n\t\t}\n\t\tif (ref.title) {\n\t\t\tvar resultTitle = utils.wrapAttributeValue(ref.title);\n\t\t\tif (resultTitle === undefined) {\n\t\t\t\t// This is one of the rare cases were we need\n\t\t\t\t// to placeholder a title OTHER than the one\n\t\t\t\t// we're changing.\n\t\t\t\tresultTitle = \"<<\"+this.parser.getPlaceholderFor(ref.title)+\">>\";\n\t\t\t\tmessage = \"transclude-placeholder\";\n\t\t\t}\n\t\t\tvar attrs = this.transcludeAttributes(ref.field, ref.index);\n\t\t\trtn = \"<$tiddler tiddler=\"+resultTitle+\"><$transclude tiddler=\"+resultTemplate+attrs+\"/></$tiddler>\";\n\t\t} else {\n\t\t\trtn = \"<$transclude tiddler=\"+resultTemplate+\"/>\";\n\t\t}\n\t\tlog(message, logArguments, options);\n\t\treturn rtn;\n\t}\n\treturn undefined;\n};\n\nfunction canBePrettyTemplate(value) {\n\treturn value.indexOf('}') < 0 && value.indexOf('{') < 0 && value.indexOf('|') < 0;\n};\n\n/**Returns attributes for a transclude widget.\n * only field or index should be used, not both, but both will return\n * the intuitive (albeit useless) result.\n */\nexports.transcludeAttributes = function(field, index) {\n\treturn rtn = [\n\t\twrapAttribute(this.parser, \"field\", field),\n\t\twrapAttribute(this.parser, \"index\", index)\n\t].join('');\n};\n\nfunction wrapAttribute(wikiRelinker, name, value) {\n\tif (value) {\n\t\tvar wrappedValue = utils.wrapAttributeValue(value);\n\t\tif (wrappedValue === undefined) {\n\t\t\twrappedValue = \"<<\"+wikiRelinker.getPlaceholderFor(value, name)+\">>\";\n\t\t}\n\t\treturn \" \"+name+\"=\"+wrappedValue;\n\t}\n\treturn '';\n};\n\nfunction prettyTransclude(textReference, template) {\n\tif (typeof textReference !== \"string\") {\n\t\ttextReference = refHandler.toString(textReference);\n\t}\n\tif (!textReference) {\n\t\ttextReference = '';\n\t}\n\tif (template !== undefined) {\n\t\treturn \"{{\"+textReference+\"||\"+template+\"}}\";\n\t} else {\n\t\treturn \"{{\"+textReference+\"}}\";\n\t}\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js": {
"text": "/*\\\nmodule-type: library\n\nUtility methods for the wikitext relink rules.\n\n\\*/\n\n/**Finds an appropriate quote mark for a given value.\n *\n *Tiddlywiki doesn't have escape characters for attribute values. Instead,\n * we just have to find the type of quotes that'll work for the given title.\n * There exist titles that simply can't be quoted.\n * If it can stick with the preference, it will.\n *\n * return: Returns the wrapped value, or undefined if it's impossible to wrap\n */\nexports.wrapAttributeValue = function(value, preference, whitelist) {\n\twhitelist = whitelist || [\"\", \"'\", '\"', '\"\"\"'];\n\tvar choices = {\n\t\t\"\": function(v) {return !/([\\/\\s<>\"'=])/.test(v); },\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; },\n\t\t'\"\"\"': function(v) {return v.indexOf('\"\"\"') < 0 && v[v.length-1] != '\"';},\n\t\t\"[[\": exports.canBePrettyOperand\n\t};\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; },\n\t\t'\"\"\"': function(v) {return '\"\"\"'+v+'\"\"\"'; },\n\t\t\"[[\": function(v) {return \"[[\"+v+\"]]\"; }\n\t};\n\tif (choices[preference]) {\n\t\tif (choices[preference](value)) {\n\t\t\treturn wrappers[preference](value);\n\t\t}\n\t}\n\tfor (var i = 0; i < whitelist.length; i++) {\n\t\tvar quote = whitelist[i];\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrappers[quote](value);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n};\n\n/**Return true if value can be used inside a prettylink.\n */\nexports.canBePretty = function(value) {\n\treturn value.indexOf(\"]]\") < 0 && value[value.length-1] !== ']';\n};\n\nexports.canBePrettyOperand = function(value) {\n\treturn value.indexOf(']') < 0;\n};\n\n/**Given some text, and a param or attribute within that text, this returns\n * what type of quotation that attribute is using.\n *\n * param: An object in the form {end:, ...}\n */\nexports.determineQuote = function(text, param) {\n\tvar pos = param.end-1;\n\tif (text[pos] === \"'\") {\n\t\treturn \"'\";\n\t}\n\tif (text[pos] === '\"') {\n\t\tif (text.substr(pos-2, 3) === '\"\"\"') {\n\t\t\treturn '\"\"\"';\n\t\t} else {\n\t\t\treturn '\"';\n\t\t}\n\t}\n\tif (text.substr(pos-1,2) === ']]' && text.substr((pos-param.value.length)-3, 2) === '[[') {\n\t\treturn \"[[\";\n\t}\n\treturn '';\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles CamelCase links\n\nWikiLink\n\nbut not:\n\n~WikiLink\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar utils = require(\"./utils.js\");\n\nexports.name = \"wikilink\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (this.match[0] === fromTitle && this.match[0][0] !== '~') {\n\t\tvar logArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t};\n\t\tif (toTitle.match(this.matchRegExp) && toTitle[0] !== '~') {\n\t\t\tlog(\"wikilink\", logArguments, options);\n\t\t\treturn toTitle;\n\t\t} else if (utils.canBePretty(toTitle)) {\n\t\t\tlog(\"wikilink-pretty\", logArguments, options);\n\t\t\treturn \"[[\" + toTitle + \"]]\";\n\t\t} else {\n\t\t\tvar ph = this.parser.getPlaceholderFor(toTitle);\n\t\t\tlog(\"wikilink-placeholder\", logArguments, options);\n\t\t\treturn \"<$link to=<<\"+ph+\">>><$text text=<<\"+ph+\">>/></$link>\";\n\t\t}\n\t}\n\treturn undefined;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/utils/rebuilder.js": {
"text": "/*\\\n\nThis helper class aids in reconstructing an existing string with new parts.\n\n\\*/\n\nfunction Rebuilder(text, start) {\n\tthis.text = text;\n\tthis.index = start || 0;\n\tthis.pieces = [];\n};\n\nmodule.exports = Rebuilder;\n\n/**Pieces must be added consecutively.\n * Start and end are the indices in the old string specifying where to graft\n * in the new piece.\n */\nRebuilder.prototype.add = function(value, start, end) {\n\tthis.pieces.push(this.text.substring(this.index, start), value);\n\tthis.index = end;\n};\n\nRebuilder.prototype.changed = function() {\n\treturn this.pieces.length > 0;\n};\n\n/** This sticks something on the beginning of the resulting content.\n */\nRebuilder.prototype.prepend = function(content) {\n\tif (content) {\n\t\tthis.pieces.unshift(content);\n\t}\n};\n\nRebuilder.prototype.results = function(end) {\n\tif (this.changed()) {\n\t\tthis.pieces.push(this.text.substring(this.index, end));\n\t\treturn this.pieces.join('');\n\t}\n\treturn undefined;\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/utils/rebuilder.js",
"type": "application/javascript"
},
"$:/config/flibbles/relink/attributes/$button/to": {
"title": "$:/config/flibbles/relink/attributes/$button/to",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$checkbox/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$checkbox/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$checkbox/tag": {
"title": "$:/config/flibbles/relink/attributes/$checkbox/tag",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$count/filter": {
"title": "$:/config/flibbles/relink/attributes/$count/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$draggable/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$draggable/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$draggable/filter": {
"title": "$:/config/flibbles/relink/attributes/$draggable/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$edit-text/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$edit-text/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$edit/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$edit/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$encrypt/filter": {
"title": "$:/config/flibbles/relink/attributes/$encrypt/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$fieldmangler/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$fieldmangler/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$fields/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$fields/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$image/source": {
"title": "$:/config/flibbles/relink/attributes/$image/source",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$importvariables/filter": {
"title": "$:/config/flibbles/relink/attributes/$importvariables/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$linkcatcher/to": {
"title": "$:/config/flibbles/relink/attributes/$linkcatcher/to",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$linkcatcher/set": {
"title": "$:/config/flibbles/relink/attributes/$linkcatcher/set",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$link/to": {
"title": "$:/config/flibbles/relink/attributes/$link/to",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$list/filter": {
"title": "$:/config/flibbles/relink/attributes/$list/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$list/template": {
"title": "$:/config/flibbles/relink/attributes/$list/template",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$list/editTemplate": {
"title": "$:/config/flibbles/relink/attributes/$list/editTemplate",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$list/history": {
"title": "$:/config/flibbles/relink/attributes/$list/history",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$navigator/story": {
"title": "$:/config/flibbles/relink/attributes/$navigator/story",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$navigator/history": {
"title": "$:/config/flibbles/relink/attributes/$navigator/history",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$radio/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$radio/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$range/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$range/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$reveal/stateTitle": {
"title": "$:/config/flibbles/relink/attributes/$reveal/stateTitle",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$select/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$select/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$setvariable/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$setvariable/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$setvariable/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$setvariable/subtiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$setvariable/filter": {
"title": "$:/config/flibbles/relink/attributes/$setvariable/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$set/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$set/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$set/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$set/subtiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$set/filter": {
"title": "$:/config/flibbles/relink/attributes/$set/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$tiddler/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$tiddler/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$transclude/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$transclude/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$transclude/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$transclude/subtiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$view/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$view/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$view/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$view/subtiddler",
"text": "title"
},
"$:/plugins/flibbles/relink/configuration": {
"title": "$:/plugins/flibbles/relink/configuration",
"text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/flibbles/relink/Configuration]!has[draft.of]]\" \"$:/plugins/flibbles/relink/ui/configuration/Fields\">>\n</div>\n"
},
"$:/config/flibbles/relink/fields/list": {
"title": "$:/config/flibbles/relink/fields/list",
"text": "list"
},
"$:/config/flibbles/relink/fields/list-after": {
"title": "$:/config/flibbles/relink/fields/list-after",
"text": "title"
},
"$:/config/flibbles/relink/fields/list-before": {
"title": "$:/config/flibbles/relink/fields/list-before",
"text": "title"
},
"$:/config/flibbles/relink/fields/tags": {
"title": "$:/config/flibbles/relink/fields/tags",
"text": "list"
},
"$:/plugins/flibbles/relink/language/Buttons/Delete/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/Delete/Caption",
"text": "delete"
},
"$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint",
"text": "Specify a new widget/element attribute to be updated whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Buttons/NewField/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Hint",
"text": "Specify a new field to be updated whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewField/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint",
"text": "Specify a new filter operator to be considered whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint",
"text": "Specify a new macro parameter to be updated whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator": {
"title": "$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator",
"text": "Filter Error: Unknown suffix for the 'relink' filter operator"
},
"$:/plugins/flibbles/relink/language/Help/Attributes": {
"title": "$:/plugins/flibbles/relink/language/Help/Attributes",
"text": "See the [[Attributes documentation page|https://flibbles.github.io/tw5-relink/#Attributes]] for details."
},
"$:/plugins/flibbles/relink/language/Help/Fields": {
"title": "$:/plugins/flibbles/relink/language/Help/Fields",
"text": "See the [[Fields documentation page|https://flibbles.github.io/tw5-relink/#Fields]] for details."
},
"$:/plugins/flibbles/relink/language/Help/Macros": {
"title": "$:/plugins/flibbles/relink/language/Help/Macros",
"text": "See the [[Macros documentation page|https://flibbles.github.io/tw5-relink/#Macros]] for details."
},
"$:/plugins/flibbles/relink/language/Help/Operators": {
"title": "$:/plugins/flibbles/relink/language/Help/Operators",
"text": "See the [[Operators documentation page|https://flibbles.github.io/tw5-relink/#Operators]] for details."
},
"$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty": {
"title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty",
"text": "No tiddlers contain any fields, links, macros, transclusions, or widgets referencing this one"
},
"$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description": {
"title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description",
"text": "The following tiddlers contain fields, links, macros, transclusions, or widgets referencing this one:"
},
"$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption": {
"title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption",
"text": "//Relink// References"
},
"$:/plugins/flibbles/relink/language/ui/Attributes/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Attributes/Caption",
"text": "Attributes"
},
"$:/plugins/flibbles/relink/language/ui/Fields/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Fields/Caption",
"text": "Fields"
},
"$:/plugins/flibbles/relink/language/ui/Macros/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Macros/Caption",
"text": "Macros"
},
"$:/plugins/flibbles/relink/language/ui/Operators/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Operators/Caption",
"text": "Operators"
},
"$:/config/flibbles/relink/macros/csvtiddlers/filter": {
"title": "$:/config/flibbles/relink/macros/csvtiddlers/filter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/datauri/title": {
"title": "$:/config/flibbles/relink/macros/datauri/title",
"text": "title"
},
"$:/config/flibbles/relink/macros/jsontiddler/title": {
"title": "$:/config/flibbles/relink/macros/jsontiddler/title",
"text": "title"
},
"$:/config/flibbles/relink/macros/jsontiddlers/filter": {
"title": "$:/config/flibbles/relink/macros/jsontiddlers/filter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/list-links/filter": {
"title": "$:/config/flibbles/relink/macros/list-links/filter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/list-links-draggable/tiddler": {
"title": "$:/config/flibbles/relink/macros/list-links-draggable/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate": {
"title": "$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate",
"text": "title"
},
"$:/config/flibbles/relink/macros/list-tagged-draggable/tag": {
"title": "$:/config/flibbles/relink/macros/list-tagged-draggable/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate": {
"title": "$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc/tag": {
"title": "$:/config/flibbles/relink/macros/toc/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc/selectedTiddler": {
"title": "$:/config/flibbles/relink/macros/toc/selectedTiddler",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc/template": {
"title": "$:/config/flibbles/relink/macros/toc/template",
"text": "title"
},
"$:/config/flibbles/relink/macros/tabs/buttonTemplate": {
"title": "$:/config/flibbles/relink/macros/tabs/buttonTemplate",
"text": "title"
},
"$:/config/flibbles/relink/macros/tabs/default": {
"title": "$:/config/flibbles/relink/macros/tabs/default",
"text": "title"
},
"$:/config/flibbles/relink/macros/tabs/tabsList": {
"title": "$:/config/flibbles/relink/macros/tabs/tabsList",
"text": "filter"
},
"$:/config/flibbles/relink/macros/tabs/template": {
"title": "$:/config/flibbles/relink/macros/tabs/template",
"text": "title"
},
"$:/config/flibbles/relink/macros/tag/tag": {
"title": "$:/config/flibbles/relink/macros/tag/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/tag-pill/tag": {
"title": "$:/config/flibbles/relink/macros/tag-pill/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/timeline/subfilter": {
"title": "$:/config/flibbles/relink/macros/timeline/subfilter",
"text": "filter"
},
"$:/config/flibbles/relink/operators/list": {
"title": "$:/config/flibbles/relink/operators/list",
"text": "reference"
},
"$:/config/flibbles/relink/operators/tag": {
"title": "$:/config/flibbles/relink/operators/tag",
"text": "title"
},
"$:/config/flibbles/relink/operators/title": {
"title": "$:/config/flibbles/relink/operators/title",
"text": "title"
},
"$:/config/flibbles/relink/operators/field:title": {
"title": "$:/config/flibbles/relink/operators/field:title",
"text": "title"
},
"$:/language/EditTemplate/Title/Impossibles/Prompt": {
"title": "$:/language/EditTemplate/Title/Impossibles/Prompt",
"text": "The following references to this tiddler can ''not'' be updated by //Relink// due to the complexity of the new title:"
},
"$:/language/EditTemplate/Title/References/Prompt": {
"title": "$:/language/EditTemplate/Title/References/Prompt",
"text": "The following tiddlers will be updated if relinking:"
},
"$:/language/EditTemplate/Title/Relink/Prompt": {
"title": "$:/language/EditTemplate/Title/Relink/Prompt",
"text": "Use //Relink// to update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' across all other tiddlers"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "\\define conditional-list(state, prompt, filter)\n<$list filter=\"[subfilter<__filter__>limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/$state$\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}}\n<<lingo [[$prompt$]]>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}}\n<<lingo [[$prompt$]]>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$list filter=<<__filter__>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>\n</$reveal>\n\n</$vars>\n\\end\n\n<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus=\"true\" tabindex={{$:/config/EditTabIndex}}/>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<<conditional-list impossibles EditTemplate/Title/Impossibles/Prompt \"[{!!draft.title}relink:impossible<fromTitle>]\">>\n\n<<conditional-list references EditTemplate/Title/References/Prompt \"[relink:references<fromTitle>!title[$:/StoryList]sort[title]]\">>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
},
"$:/plugins/flibbles/relink/readme": {
"title": "$:/plugins/flibbles/relink/readme",
"type": "text/vnd.tiddlywiki",
"text": "When renaming a tiddler, Relink can update the fields, filters, and widgets\nof all other tiddlers. However, it works through whitelisting.\n\nIt's already configured to update tiddler titles for all core widgets, filters,\nand fields, but the whitelists can be customized for each of this in the\nconfiguration panel.\n\nSee [[the tw5-relink website|https://github.com/flibbles/tw5-relink]] for\nmore details and examples.\n"
},
"$:/config/flibbles/relink/settings/default-type": {
"title": "$:/config/flibbles/relink/settings/default-type",
"text": "title"
},
"$:/plugins/flibbles/relink/ui/TiddlerInfo/References": {
"title": "$:/plugins/flibbles/relink/ui/TiddlerInfo/References",
"caption": "{{$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption}}",
"tags": "$:/tags/TiddlerInfo",
"text": "\\define lingo-base() $:/plugins/flibbles/relink/language/TiddlerInfo/\n\\define filter() [relink:references<currentTiddler>!title[$:/StoryList]sort[title]]\n<$list filter=\"[subfilter<filter>first[]]\">\n\n<<lingo References/Description>>\n</$list>\n\n<$list filter=<<filter>> emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n"
},
"$:/plugins/flibbles/relink/ui/components/button-delete": {
"title": "$:/plugins/flibbles/relink/ui/components/button-delete",
"text": "\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\n<$button class=\"tc-btn-invisible\"><$list filter=\"[all[current]is[tiddler]]\">\n<$action-deletetiddler $tiddler=<<currentTiddler>> />\n</$list><$list filter=\"[all[current]is[shadow]]\">\n<$action-setfield $tiddler=<<tiddlerName>> text=\"\" />\n</$list>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">{{$:/core/images/delete-button}}</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$(lingo-base)$Delete/Caption}}/></span>\n</$list></$button>\n"
},
"$:/plugins/flibbles/relink/ui/components/select-fieldtype": {
"title": "$:/plugins/flibbles/relink/ui/components/select-fieldtype",
"text": "<$select tiddler=<<currentTiddler>> default={{$:/config/flibbles/relinke/settings/default-type}} >\n<$list variable=\"option\"\n filter=\"[[relinkfieldtype]modules[]removeprefix[$:/plugins/flibbles/relink/js/fieldtypes/]removesuffix[.js]move:-100{$:/config/flibbles/relink/settings/default-type}]\">\n<option><$text text=<<option>> /></option>\n</$list>\n</$select>\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Attributes": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Attributes",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Attributes/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\define prefix-attr() $:/config/flibbles/relink/attributes/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Attributes}}\n\n<table><tbody>\n<tr><th>Widget/HTML Element</th><th>Attribute</th><th>Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-attr>!has[draft.of]has[text]]\">\n<$set name=\"element\"\n filter=\"[all[current]removeprefix<prefix-attr>splitbefore[/]removesuffix[/]]\">\n<$set name=\"attribute\"\n filter=\"[all[current]removeprefix<prefix-attr>removeprefix<element>removeprefix[/]]\">\n<tr>\n<td><$text text=<<element>> /></td>\n<td><$text text=<<attribute>> /></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$set></$set></$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new attribute:</em>\n<$edit-text tiddler=\"$(state-base)$element-name\"\n tag=\"input\" default=\"\" placeholder=\"widget/element\" />\n<$edit-text tiddler=\"$(state-base)$attribute-name\"\n tag=\"input\" default=\"\" placeholder=\"attribute\" />\n<$button tooltip={{$(lingo-base)$NewAttribute/Hint}}\n aria-label={{$(lingo-base)$NewAttribute/Caption}}>\n<$set name=\"tiddlerName\"\n filter=\"[<prefix-attr>addsuffix{$(state-base)$element-name}addsuffix[/]addsuffix{$(state-base)$attribute-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>>\n text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$attribute-name\" />\n<$action-deletetiddler $tiddler=\"$(state-base)$element-name\" />\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Fields": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Fields",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Fields/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\define prefix-fields() $:/config/flibbles/relink/fields/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Fields}}\n\n<table><tbody>\n<tr><th>Field Name</th><th>Field Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-fields>!has[draft.of]has[text]]\">\n<tr>\n<td><$list filter=\"[all[current]removeprefix<prefix-fields>]\"><<currentTiddler>></$list></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new field:</em>\n<$edit-text tiddler=\"$(state-base)$field-name\"\n tag=\"input\" default=\"\" placeholder=\"field name\" />\n<$button tooltip={{$(lingo-base)$NewField/Hint}}\n aria-label={{$(lingo-base)$NewField/Caption}}>\n<$set name=\"tiddlerName\"\n filter=\"[<prefix-fields>addsuffix{$(state-base)$field-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>>\n text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$field-name\" />\n<$text text={{$(lingo-base)$NewField/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Macros": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Macros",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Macros/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\define prefix-macro() $:/config/flibbles/relink/macros/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Macros}}\n\n<table><tbody>\n<tr><th>Macro</th><th>Parameter</th><th>Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-macro>!has[draft.of]has[text]]\">\n<$set name=\"parameter\"\n filter=\"[all[current]removeprefix<prefix-macro>relink:splitafter[/]]\">\n<$set name=\"macro\"\n filter=\"[all[current]removeprefix<prefix-macro>removesuffix<parameter>removesuffix[/]]\">\n<tr>\n<td><$text text=<<macro>> /></td>\n<td><$text text=<<parameter>> /></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$set></$set></$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new macro parameter:</em>\n<$edit-text tiddler=\"$(state-base)$macro-name\"\n tag=\"input\" default=\"\" placeholder=\"macro\" />\n<$edit-text tiddler=\"$(state-base)$parameter-name\"\n tag=\"input\" default=\"\" placeholder=\"parameter\" />\n<$button tooltip={{$(lingo-base)$NewParameter/Hint}}\n aria-label={{$(lingo-base)$NewParameter/Caption}}>\n<$set name=\"tiddlerName\"\n filter=\"[<prefix-macro>addsuffix{$(state-base)$macro-name}addsuffix[/]addsuffix{$(state-base)$parameter-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>>\n text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$parameter-name\" />\n<$action-deletetiddler $tiddler=\"$(state-base)$macro-name\" />\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Operators": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Operators",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Operators/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\define prefix-ops() $:/config/flibbles/relink/operators/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Operators}}\n\n<table><tbody>\n<tr><th>Filter Operator</th><th>Operand Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-ops>!has[draft.of]has[text]]\">\n<tr>\n<td><$list variable=\"listItem\" filter=\"[<currentTiddler>removeprefix<prefix-ops>]\"><<listItem>></$list></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new filter operator:</em>\n<$edit-text tiddler=\"$(state-base)$operator-name\"\n tag=\"input\" default=\"\" placeholder=\"operator name\" />\n<$button tooltip={{$(lingo-base)$NewOperator/Hint}}\n aria-label={{$(lingo-base)$NewOperator/Caption}}>\n<$set name=\"tiddlerName\"\n filter=\"[<prefix-ops>addsuffix{$(state-base)$operator-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>> text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$operator-name\" />\n<$text text={{$(lingo-base)$NewOperator/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
}
}
}
{
"tiddlers": {
"$:/jd/fullscreen-editor/EditButton": {
"text": "\\whitespace trim\n<$navigator story=\"$:/fullscreen-editor\">\n<$button message=\"tm-edit-tiddler\" tooltip=\"Edit in full screen mode\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text=\"edit in full screen\"/>\n</span>\n</$list>\n</$button>\n</$navigator>",
"title": "$:/jd/fullscreen-editor/EditButton",
"tags": "$:/tags/ViewToolbar",
"modifier": "jd",
"modified": "20190204134418116",
"description": "Edit in full screen mode",
"creator": "jd",
"created": "20190204123121582",
"caption": "{{$:/core/images/full-screen-button}} edit in full screen"
},
"$:/jd/fullscreen-editor/EditTemplate": {
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"text": "With ''~FullscreenEditor'', you'll be able to edit the current tiddler distraction-free with this button, found at the usual tiddler controls: @@font-size:1.5em;{{||$:/jd/fullscreen-editor/EditButton}}@@\n\nAlso in this mode, <kbd>ctrl</kbd>+<kbd>enter</kbd> will save and close the tiddler, and <kbd>esc</kbd> will cancel the edit (or whatever keyboard shortcut have been set for these two actions at $:/core/ui/ControlPanel/KeyboardShortcuts).",
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rowspacing=\"0.5ex\"');this.$=e(\"mstyle\",this.$,'scriptlevel=\"2\"');break;case 149:this.$=e(\"mtable\",d[b-1],'displaystyle=\"false\" columnalign=\"left left\"');\nthis.$=e(\"mrow\",Za(\"{\")+this.$);break;case 150:this.$=e(\"mtable\",d[b-1],'displaystyle=\"true\" columnalign=\"right left right left right left right left right left\" columnspacing=\"0em\"');break;case 151:this.$=e(\"mtable\",d[b-1],'displaystyle=\"false\" rowspacing=\"0.5ex\" align=\"'+d[b-3]+'\" columnalign=\"'+d[b-2]+'\"');break;case 152:this.$=e(\"mtable\",d[b-1],'displaystyle=\"false\" rowspacing=\"0.5ex\" columnalign=\"'+d[b-2]+'\"');break;case 153:this.$=e(\"mtable\",d[b-1],'displaystyle=\"false\" columnalign=\"center\" rowspacing=\"0.5ex\"');\nbreak;case 154:this.$=e(\"mtable\",d[b-1],'displaystyle=\"false\"');break;case 155:this.$=e(\"mtable\",d[b-1],'displaystyle=\"false\" '+d[b-3]);break;case 156:case 205:this.$=d[b];break;case 157:this.$=d[b-1]+d[b];break;case 158:this.$=e(\"mmultiscripts\",d[b-1]+d[b]);break;case 159:this.$=nb(!1,d[b-4],d[b-2],d[b]);break;case 160:this.$=nb(!1,d[b-3],d[b-1],Za(d[b]));break;case 161:this.$=nb(!1,d[b-4],d[b],d[b-2]);break;case 162:this.$=nb(!1,d[b-3],d[b],Za(d[b-2]));break;case 163:this.$=nb(!1,d[b-2],d[b],null);\nbreak;case 164:this.$=nb(!1,d[b-2],null,d[b]);break;case 165:this.$=nb(!1,d[b-1],null,Za(d[b]));break;case 167:this.$=nb(!0,d[b-4],d[b-2],d[b]);break;case 168:this.$=nb(!0,d[b-4],d[b],d[b-2]);break;case 169:this.$=nb(!0,d[b-2],d[b],null);break;case 170:this.$=nb(!0,d[b-2],null,d[b]);break;case 174:this.$=[d[b]];break;case 175:d[b-1].push(d[b]);this.$=d[b-1];break;case 178:case 197:case 201:this.$=d[b-2]+d[b];break;case 179:this.$=d[b]+\"<none/>\";break;case 180:case 181:this.$=\"<none/>\"+d[b];break;\ncase 183:this.$=d[b-1]+d[b];break;case 184:this.$='displaystyle=\"true\"';break;case 185:this.$='displaystyle=\"false\"';break;case 186:this.$='scriptlevel=\"0\"';break;case 187:this.$='scriptlevel=\"1\"';break;case 188:this.$='scriptlevel=\"2\"';break;case 189:this.$=\"mathcolor=\"+d[b];break;case 190:this.$=\"mathbackground=\"+d[b];break;case 191:this.$=[lb(d[b],\"mstyle\",d[b-1])];break;case 193:this.$=e(\"mtd\",\"\");break;case 194:this.$=lb(d[b],\"mtd\",d[b-2]);break;case 195:this.$=lb(d[b],\"mtd\");break;case 198:this.$=\nthis.$=e(\"mtr\",d[b],d[b-2]);break;case 199:this.$=e(\"mtr\",d[b]);break;case 202:return this.$=d[b-1];case 204:this.$=d[b-1]+d[b];break;case 206:this.$=Ab([\"<mrow/>\"],!1,f.tex);break;case 207:this.$=Ab(d[b-1],!1,f.tex);break;case 208:this.$=Ab([\"<mrow/>\"],!0,f.tex);break;case 209:this.$=Ab(d[b-1],!0,f.tex);break;case 210:this.$=Ab(d[b-1],!1,f.tex);break;case 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263:return a.yytext=\"\\u21cc\",\"OPS\";case 264:return a.yytext=\"\\u21c4\",\n\"OPS\";case 265:return a.yytext=\"\\u21c0\",\"OPS\";case 266:return a.yytext=\"\\u21c1\",\"OPS\";case 267:return a.yytext=\"\\u21fe\",\"OPS\";case 268:return a.yytext=\"\\u21a3\",\"OPS\";case 269:return a.yytext=\"\\u2192\",\"OPS\";case 270:return\"RIGHT\";case 271:return a.yytext=\"\\u03c1\",\"A\";case 272:return a.yytext=\"\\u22b3\",\"OP\";case 273:return a.yytext=\"\\u230b\",\"OPFS\";case 274:return a.yytext=\"\\u2930\",\"OP\";case 275:return a.yytext=\"\\u292b\",\"OP\";case 276:return a.yytext=\"\\u2309\",\"OPFS\";case 277:return a.yytext=\"]\",\"OPFS\";\ncase 278:return a.yytext=\"}\",\"OPFS\";case 279:return a.yytext=\"\\u27e9\",\"OPFS\";case 280:return a.yytext=\"\\u27e9\",\"OPFS\";case 281:return a.yytext=\"\\u225f\",\"OP\";case 282:return a.yytext=\"\\u2a0c\",\"OP\";case 283:return\"QUAD\";case 284:return\"QQUAD\";case 285:return a.yytext=\"\\u25aa\",\"OP\";case 286:return a.yytext=\"\\u03c8\",\"A\";case 287:return a.yytext=\"\\u221d\",\"OP\";case 288:return a.yytext=\"\\u220f\",\"OPM\";case 289:return a.yytext=\"\\u220f\",\"OPM\";case 290:return a.yytext=\"\\u2032\",\"OPP\";case 291:return a.yytext=\n\"\\u227e\",\"OP\";case 292:return a.yytext=\"\\u22e8\",\"OP\";case 293:return a.yytext=\"\\u2ab5\",\"OP\";case 294:return a.yytext=\"\\u2ab9\",\"OP\";case 295:return a.yytext=\"\\u2aaf\",\"OP\";case 296:return a.yytext=\"\\u227c\",\"OP\";case 297:return a.yytext=\"\\u2ab7\",\"OP\";case 298:return a.yytext=\"\\u227a\",\"OP\";case 299:return\"PMOD\";case 300:return a.yytext=\"\\u00b1\",\"OP\";case 301:return a.yytext=\"\\u2a25\",\"OP\";case 302:return a.yytext=\"\\u229e\",\"OP\";case 303:return a.yytext=\"\\u22d4\",\"OP\";case 304:return a.yytext=\"\\u03c0\",\"A\";\ncase 305:return a.yytext=\"\\u03d5\",\"A\";case 306:return\"PHANTOM\";case 307:return a.yytext=\"\\u22a5\",\"OP\";case 308:return a.yytext=\"\\u2aa3\",\"OP\";case 309:return a.yytext=\"\\u2202\",\"OP\";case 310:return a.yytext=\"\\u214b\",\"OP\";case 311:return a.yytext=\"\\u2225\",\"OP\";case 312:return this.pushState(\"TEXTARG\"),\"PADDING\";case 313:return\"OVERSET\";case 314:return a.yytext=\"\\u00af\",\"ACCENT\";case 315:return\"OVERBRACE\";case 316:return\"TEXOVER\";case 317:return a.yytext=\"\\u2297\",\"OP\";case 318:return a.yytext=\"\\u2298\",\n\"OP\";case 319:return a.yytext=\"\\u2295\",\"OP\";case 320:return this.begin(\"TEXTARG\"),\"OPERATORNAME\";case 321:return a.yytext=\"\\u2296\",\"OP\";case 322:return a.yytext=\"\\u2134\",\"A\";case 323:return a.yytext=\"\\u03c9\",\"A\";case 324:return a.yytext=\"\\u222e\",\"OP\";case 325:return a.yytext=\"\\u222f\",\"OP\";case 326:return a.yytext=\"\\u2230\",\"OP\";case 327:return a.yytext=\"\\u2299\",\"OP\";case 328:return a.yytext=\"\\u229d\",\"OP\";case 329:return a.yytext=\"\\u29b8\",\"OP\";case 330:return a.yytext=\"\\u2932\",\"OP\";case 331:return a.yytext=\n\"\\u2196\",\"OPS\";case 332:return a.yytext=\"\\u2196\",\"OPS\";case 333:return a.yytext=\"\\u21d6\",\"OPS\";case 334:return a.yytext=\"\\u21d6\",\"OPS\";case 335:return a.yytext=\"\\u22ac\",\"OP\";case 336:return a.yytext=\"\\u22ad\",\"OP\";case 337:return a.yytext=\"\\u03bd\",\"A\";case 338:return a.yytext=\"\\u22ed\",\"OP\";case 339:return a.yytext=\"\\u22eb\",\"OP\";case 340:return a.yytext=\"\\u22ec\",\"OP\";case 341:return a.yytext=\"\\u22ea\",\"OP\";case 342:return a.yytext=\"\\u2289\",\"OP\";case 343:return a.yytext=\"\\u2285\",\"OP\";case 344:return a.yytext=\n\"\\u227f\\u0338\",\"OP\";case 345:return a.yytext=\"\\u2ab0\\u0338\",\"OP\";case 346:return a.yytext=\"\\u2281\",\"OP\";case 347:return a.yytext=\"\\u2288\",\"OP\";case 348:return a.yytext=\"\\u2288\",\"OP\";case 349:return a.yytext=\"\\u2284\",\"OP\";case 350:return a.yytext=\"\\u2244\",\"OP\";case 351:return a.yytext=\"\\u2241\",\"OP\";case 352:return a.yytext=\"\\u2226\",\"OP\";case 353:return a.yytext=\"\\u2224\",\"OP\";case 354:return a.yytext=\"\\u219b\",\"OP\";case 355:return a.yytext=\"\\u2aaf\\u0338\",\"OP\";case 356:return a.yytext=\"\\u2280\",\"OP\";case 357:return a.yytext=\n\"\\u2226\",\"OP\";case 358:return a.yytext=\"\\u220c\",\"OP\";case 359:return a.yytext=\"\\u2209\",\"OP\";case 360:return a.yytext=\"\\u00ac\",\"OP\";case 361:return a.yytext=\"\\u2224\",\"OP\";case 362:return a.yytext=\"\\u226e\",\"OP\";case 363:return a.yytext=\"\\u2a7d\\u0338\",\"OP\";case 364:return a.yytext=\"\\u2a7d\\u0338\",\"OP\";case 365:return a.yytext=\"\\u2270\",\"OP\";case 366:return a.yytext=\"\\u21ae\",\"OP\";case 367:return a.yytext=\"\\u219a\",\"OP\";case 368:return a.yytext=\"\\u220b\",\"OP\";case 369:return a.yytext=\"\\u226f\",\"OP\";case 370:return a.yytext=\n\"\\u2a7e\\u0338\",\"OP\";case 371:return a.yytext=\"\\u2a7e\\u0338\",\"OP\";case 372:return a.yytext=\"\\u2271\",\"OP\";case 373:return a.yytext=\"\\u2204\",\"OP\";case 374:return a.yytext=\"\\u2262\",\"OP\";case 375:return a.yytext=\"\\u2242\\u0338\",\"OP\";case 376:return a.yytext=\"\\u2260\",\"OP\";case 377:return a.yytext=\"\\u292e\",\"OP\";case 378:return a.yytext=\"\\u2931\",\"OP\";case 379:return\"NEGTHICKSPACE\";case 380:return\"NEGSPACE\";case 381:return\"NEGMEDSPACE\";case 382:return a.yytext=\"\\u00ac\",\"OP\";case 383:return a.yytext=\"\\u2197\",\n\"OPS\";case 384:return a.yytext=\"\\u2197\",\"OPS\";case 385:return a.yytext=\"\\u21d7\",\"OPS\";case 386:return a.yytext=\"\\u21d7\",\"OPS\";case 387:return a.yytext=\"\\u2260\",\"OP\";case 388:return a.yytext=\"\\u2247\",\"OP\";case 389:return a.yytext=\"\\u224f\\u0338\",\"OP\";case 390:return a.yytext=\"\\u266e\",\"OP\";case 391:return a.yytext=\"\\u2249\",\"OP\";case 392:return a.yytext=\"\\u2207\",\"OP\";case 393:return a.yytext=\"\\u22ae\",\"OP\";case 394:return a.yytext=\"\\u22af\",\"OP\";case 395:return a.yytext=\"\\u21cf\",\"OP\";case 396:return a.yytext=\n\"\\u21ce\",\"OP\";case 397:return a.yytext=\"\\u21cd\",\"OP\";case 398:return a.yytext=\"\\u224e\\u0338\",\"OP\";case 399:return\"MULTI\";case 400:return a.yytext=\"\\u22b8\",\"OP\";case 401:return a.yytext=\"\\u03bc\",\"A\";case 402:return this.begin(\"TEXTARG\"),\"MTEXT\";case 403:return this.pushState(\"TEXTARG\"),this.pushState(\"TEXTOPTARG\"),this.pushState(\"TRYOPTARG\"),this.pushState(\"TEXTOPTARG\"),this.pushState(\"TRYOPTARG\"),\"MS\";case 404:return a.yytext=\"\\u2213\",\"OP\";case 405:return a.yytext=\"\\u22a7\",\"OP\";case 406:return a.yytext=\n\"mod\",\"MO\";case 407:return this.pushState(\"TEXTARG\"),\"MO\";case 408:return this.pushState(\"TEXTARG\"),\"MN\";case 409:return a.yytext=\"\\u2adb\",\"OP\";case 410:return a.yytext=\"\\u2a2a\",\"OP\";case 411:return a.yytext=\"\\u229f\",\"OP\";case 412:return a.yytext=\"\\u2212\",\"OP\";case 413:return a.yytext=a.yytext.slice(1),\"FM\";case 414:return a.yytext=\"\\u2223\",\"OP\";case 415:return this.pushState(\"TEXTARG\"),\"MI\";case 416:return a.yytext=\"\\u2127\",\"A\";case 417:return a.yytext=\"\\u2127\",\"A\";case 418:return\"MEDSPACE\";case 419:return a.yytext=\n\"\\u2221\",\"OP\";case 420:return\"MATHTT\";case 421:return\"MATHSF\";case 422:return\"MATHSCR\";case 423:return\"MATHRM\";case 424:return\"MATHRLAP\";case 425:return this.begin(\"TEXTARG\"),\"MATHREL\";case 426:return this.pushState(\"TEXTOPTARG\"),this.pushState(\"TRYOPTARG\"),this.pushState(\"TEXTOPTARG\"),this.pushState(\"TRYOPTARG\"),this.pushState(\"TEXTARG\"),\"MATHRAISEBOX\";case 427:return this.begin(\"TEXTARG\"),\"MATHOP\";case 428:return\"MATHIT\";case 429:return\"MATHLLAP\";case 430:return\"MATHIT\";case 431:return\"MATHFRAK\";\ncase 432:return\"MATHFRAK\";case 433:return\"MATHCLAP\";case 434:return\"MATHSCR\";case 435:return\"MATHBSCR\";case 436:return\"MATHBIT\";case 437:return this.begin(\"TEXTARG\"),\"MATHBIN\";case 438:return\"MATHBF\";case 439:return\"MATHBSCR\";case 440:return\"MATHBB\";case 441:return a.yytext=\"\\u21a6\",\"OPS\";case 442:return a.yytext=\"\\u21a6\",\"OPS\";case 443:return a.yytext=\"\\u2268\\ufe00\",\"OP\";case 444:return a.yytext=\"\\u2268\\ufe00\",\"OP\";case 445:return a.yytext=\"\\u22c9\",\"OP\";case 446:return a.yytext=\"<\",\"OP\";case 447:return a.yytext=\n\"\\u2018\",\"OPF\";case 448:return a.yytext=\"\\u25ca\",\"OP\";case 449:return a.yytext=\"\\u2a1c\",\"OP\";case 450:return a.yytext=\"\\u21ac\",\"OPS\";case 451:return a.yytext=\"\\u21ab\",\"OPS\";case 452:return a.yytext=\"\\u27f6\",\"OPS\";case 453:return a.yytext=\"\\u27fc\",\"OPS\";case 454:return a.yytext=\"\\u27f7\",\"OPS\";case 455:return a.yytext=\"\\u27f5\",\"OPS\";case 456:return a.yytext=\"\\u22e6\",\"OP\";case 457:return a.yytext=\"\\u2268\",\"OP\";case 458:return a.yytext=\"\\u2a87\",\"OP\";case 459:return a.yytext=\"\\u2a89\",\"OP\";case 460:return a.yytext=\n\"\\u23b0\",\"OP\";case 461:return a.yytext=\"\\u22d8\",\"OP\";case 462:return a.yytext=\"\\u27ea\",\"OPFS\";case 463:return a.yytext=\"\\u226a\",\"OP\";case 464:return a.yytext=\"\\u22b2\",\"OP\";case 465:return a.yytext=\"\\u230a\",\"OPFS\";case 466:return a.yytext=\"\\u2272\",\"OP\";case 467:return a.yytext=\"\\u2276\",\"OP\";case 468:return a.yytext=\"\\u2a8b\",\"OP\";case 469:return a.yytext=\"\\u22da\",\"OP\";case 470:return a.yytext=\"\\u22d6\",\"OP\";case 471:return a.yytext=\"\\u2a85\",\"OP\";case 472:return a.yytext=\"<\",\"OP\";case 473:return a.yytext=\n\"\\u2a7d\",\"OP\";case 474:return a.yytext=\"\\u2266\",\"OP\";case 475:return a.yytext=\"\\u2264\",\"OP\";case 476:return a.yytext=\"\\u27f3\",\"OP\";case 477:return a.yytext=\"\\u22cb\",\"OP\";case 478:return a.yytext=\"\\u219c\",\"OPS\";case 479:return a.yytext=\"\\u21ad\",\"OPS\";case 480:return a.yytext=\"\\u21cb\",\"OPS\";case 481:return a.yytext=\"\\u21ff\",\"OPS\";case 482:return a.yytext=\"\\u21c6\",\"OPS\";case 483:return a.yytext=\"\\u2194\",\"OPS\";case 484:return a.yytext=\"\\u21c7\",\"OPS\";case 485:return a.yytext=\"\\u21bc\",\"OPS\";case 486:return a.yytext=\n\"\\u21bd\",\"OPS\";case 487:return a.yytext=\"\\u21fd\",\"OPS\";case 488:return a.yytext=\"\\u21a2\",\"OPS\";case 489:return a.yytext=\"\\u2190\",\"OPS\";case 490:return\"LEFT\";case 491:return a.yytext=\"\\u2264\",\"OP\";case 492:return a.yytext=\"\\u2026\",\"OP\";case 493:return a.yytext=\"\\u2308\",\"OPFS\";case 494:return a.yytext=\"[\",\"OPFS\";case 495:return a.yytext=\"{\",\"OPFS\";case 496:return a.yytext=\"\\u27e8\",\"OPFS\";case 497:return a.yytext=\"\\u27e8\",\"OPFS\";case 498:return a.yytext=\"\\u03bb\",\"A\";case 499:return a.yytext=\"\\u223b\",\n\"OP\";case 500:return a.yytext=\"\\u03ba\",\"A\";case 501:return a.yytext=\"\\u0237\",\"A\";case 502:return this.pushState(\"TEXTARG\"),\"MN\";case 503:return a.yytext=\"\\u03b9\",\"A\";case 504:return a.yytext=\"\\u214b\",\"OP\";case 505:return a.yytext=\"\\u2a18\",\"OP\";case 506:return a.yytext=\"\\u2a3d\",\"OP\";case 507:return a.yytext=\"\\u2a3c\",\"OP\";case 508:return a.yytext=\"\\u2229\",\"OP\";case 509:return a.yytext=\"\\u2af4\",\"OP\";case 510:return a.yytext=\"\\u22ba\",\"OP\";case 511:return a.yytext=\"\\u222b\",\"OP\";case 512:return a.yytext=\n\"\\u2a1a\",\"OP\";case 513:return a.yytext=\"\\u2a19\",\"OP\";case 514:return a.yytext=\"\\u2a0d\",\"OP\";case 515:return a.yytext=\"\\u2a0e\",\"OP\";case 516:return a.yytext=\"\\u222b\",\"OP\";case 517:return a.yytext=\"\\u221e\",\"NUM\";case 518:return a.yytext=\"\\u221e\",\"NUM\";case 519:return a.yytext=a.yytext.slice(1),\"FM\";case 520:return a.yytext=\"\\u220a\",\"OP\";case 521:return a.yytext=\"\\u21d2\",\"OPS\";case 522:return a.yytext=\"\\u21d0\",\"OPS\";case 523:return a.yytext=\"\\u0131\",\"A\";case 524:return a.yytext=\"\\u222c\",\"OP\";case 525:return a.yytext=\n\"\\u222d\",\"OP\";case 526:return a.yytext=\"\\u2a0c\",\"OP\";case 527:return a.yytext=\"\\u27fa\",\"OPS\";case 528:return a.yytext=\"\\u210f\",\"A\";case 529:return this.pushState(\"TEXTARG\"),\"HREF\";case 530:return a.yytext=\"\\u21aa\",\"OPS\";case 531:return a.yytext=\"\\u21a9\",\"OPS\";case 532:return a.yytext=\"\\u2926\",\"OP\";case 533:return a.yytext=\"\\u2925\",\"OP\";case 534:return a.yytext=\"\\u2661\",\"OP\";case 535:return a.yytext=\"\\u210f\",\"A\";case 536:return a.yytext=\"^\",\"ACCENTNS\";case 537:return a.yytext=\"\\u2269\\ufe00\",\"OP\";case 538:return a.yytext=\n\"\\u2269\\ufe00\",\"OP\";case 539:return a.yytext=\"\\u2273\",\"OP\";case 540:return a.yytext=\"\\u2277\",\"OP\";case 541:return a.yytext=\"\\u2a8c\",\"OP\";case 542:return a.yytext=\"\\u22db\",\"OP\";case 543:return a.yytext=\"\\u22d7\",\"OP\";case 544:return a.yytext=\"\\u2a86\",\"OP\";case 545:return a.yytext=\">\",\"OP\";case 546:return a.yytext=\">\",\"OP\";case 547:return a.yytext=\"\\u22e7\",\"OP\";case 548:return a.yytext=\"\\u2269\",\"OP\";case 549:return a.yytext=\"\\u2a88\",\"OP\";case 550:return a.yytext=\"\\u2a8a\",\"OP\";case 551:return a.yytext=\n\"\\u2137\",\"A\";case 552:return a.yytext=\"\\u22d9\",\"OP\";case 553:return a.yytext=\"\\u226b\",\"OP\";case 554:return a.yytext=\"\\u2a7e\",\"OP\";case 555:return a.yytext=\"\\u2267\",\"OP\";case 556:return a.yytext=\"\\u2265\",\"OP\";case 557:return a.yytext=\"\\u2265\",\"OP\";case 558:return a.yytext=\"\\u03b3\",\"A\";case 559:return a.yytext=\"\\u2322\",\"OP\";case 560:return this.pushState(\"TEXTARG\"),\"FRAME\";case 561:return\"FRAC\";case 562:return a.yytext=\"\\u2add\",\"OP\";case 563:return a.yytext=\"\\u2add\\u0338\",\"OP\";case 564:return a.yytext=\n\"\\u2200\",\"OP\";case 565:return a.yytext=\"\\u266d\",\"OP\";case 566:return a.yytext=\"\\u292c\",\"OP\";case 567:return a.yytext=\"\\u292f\",\"OP\";case 568:return a.yytext=\"\\u2252\",\"OP\";case 569:return a.yytext=\"\\u2203\",\"OP\";case 570:return a.yytext=\"\\u00f0\",\"A\";case 571:return a.yytext=\"\\u00f0\",\"A\";case 572:return a.yytext=\"\\u03b7\",\"A\";case 573:return a.yytext=\"\\u2261\",\"OP\";case 574:return this.pushState(\"TEXTARG\"),\"EQROWS\";case 575:return this.pushState(\"TEXTARG\"),\"EQCOLS\";case 576:return a.yytext=\"\\u2a95\",\"OP\";\ncase 577:return a.yytext=\"\\u2a96\",\"OP\";case 578:return a.yytext=\"\\u2242\",\"OP\";case 579:return a.yytext=\"\\u2255\",\"OP\";case 580:return a.yytext=\"\\u2255\",\"OP\";case 581:return a.yytext=\"\\u2256\",\"OP\";case 582:return a.yytext=\"\\u03f5\",\"A\";case 583:return\"EVMATRIX\";case 584:return\"EALIGNED\";case 585:return\"ESMALLMATRIX\";case 586:return\"EPMATRIX\";case 587:return\"EMATRIX\";case 588:return\"EGATHERED\";case 589:return\"ECASES\";case 590:return\"EBMATRIX\";case 591:return\"EARRAY\";case 592:return\"EALIGNED\";case 593:return\"EVVMATRIX\";\ncase 594:return\"EBBMATRIX\";case 595:return\"ETOGGLE\";case 596:return a.yytext=\"\\u2205\",\"A\";case 597:return a.yytext=\"\\u2205\",\"A\";case 598:return a.yytext=\"\\u21aa\",\"OPS\";case 599:return a.yytext=\"\\u2113\",\"A\";case 600:return a.yytext=\"\\u2195\",\"OPS\";case 601:return a.yytext=\"\\u29df\",\"OP\";case 602:return a.yytext=\"\\u2910\",\"OPS\";case 603:return a.yytext=\"\\u2195\",\"OPS\";case 604:return a.yytext=\"\\u21c2\",\"OPS\";case 605:return a.yytext=\"\\u21c3\",\"OPS\";case 606:return a.yytext=\"\\u21ca\",\"OPS\";case 607:return a.yytext=\n\"\\u2193\",\"OPS\";case 608:return a.yytext=\"\\u222c\",\"OP\";case 609:return a.yytext=\"\\u2306\",\"OP\";case 610:return a.yytext=\"\\u2306\",\"OP\";case 611:return a.yytext=\"\\u2026\",\"OP\";case 612:return a.yytext=\"\\u2214\",\"OP\";case 613:return a.yytext=\"\\u2238\",\"OP\";case 614:return a.yytext=\"\\u2251\",\"OP\";case 615:return a.yytext=\"\\u2250\",\"OP\";case 616:return a.yytext=\"\\u02d9\",\"ACCENT\";case 617:return a.yytext=\"\\u22c7\",\"OP\";case 618:return a.yytext=\"\\u00f7\",\"OP\";case 619:return\"DISPLAYSTYLE\";case 620:return a.yytext=\n\"\\u2a08\",\"OPM\";case 621:return a.yytext=\"\\u03dd\",\"A\";case 622:return a.yytext=\"\\u2662\",\"OP\";case 623:return a.yytext=\"\\u22c4\",\"OP\";case 624:return a.yytext=a.yytext.slice(1),\"FM\";case 625:return a.yytext=\"\\u03b4\",\"A\";case 626:return a.yytext=\"\\u00b0\",\"OP\";case 627:return a.yytext=\"\\u2a77\",\"OP\";case 628:return a.yytext=\"\\u22f1\",\"OP\";case 629:return a.yytext=\"\\u0308\",\"ACCENT\";case 630:return a.yytext=\"\\u20db\",\"OP\";case 631:return a.yytext=\"\\u20db\",\"ACCENT\";case 632:return a.yytext=\"\\u20dc\",\"OP\";case 633:return a.yytext=\n\"\\u20dc\",\"ACCENT\";case 634:return a.yytext=\"\\u2021\",\"OP\";case 635:return a.yytext=\"\\u2237\",\"OP\";case 636:return a.yytext=\"\\u290f\",\"OPS\";case 637:return a.yytext=\"\\u22a3\",\"OP\";case 638:return a.yytext=\"\\u290f\",\"OPS\";case 639:return a.yytext=\"\\u290e\",\"OPS\";case 640:return a.yytext=\"\\u2ae3\",\"OP\";case 641:return a.yytext=\"\\u2193\",\"OPS\";case 642:return a.yytext=\"\\u2138\",\"A\";case 643:return a.yytext=\"\\u2020\",\"OP\";case 644:return a.yytext=\"\\u21b7\",\"OP\";case 645:return a.yytext=\"\\u21b6\",\"OP\";case 646:return a.yytext=\n\"\\u293b\",\"OP\";case 647:return a.yytext=\"\\u22cf\",\"OP\";case 648:return a.yytext=\"\\u22ce\",\"OP\";case 649:return a.yytext=\"\\u22df\",\"OP\";case 650:return a.yytext=\"\\u22de\",\"OP\";case 651:return a.yytext=\"\\u228d\",\"OP\";case 652:return a.yytext=\"\\u222a\",\"OP\";case 653:return a.yytext=\"\\u2210\",\"OPM\";case 654:return a.yytext=\"\\u2210\",\"OPM\";case 655:return a.yytext=\"\\u222e\",\"OP\";case 656:return a.yytext=\"\\u2a07\",\"OPM\";case 657:return a.yytext=\"\\u222e\",\"OP\";case 658:return a.yytext=\"\\u2245\",\"OP\";case 659:return a.yytext=\n\"\\u2201\",\"OP\";case 660:return this.begin(\"TEXTARG\"),\"COLSPAN\";case 661:return this.pushState(\"TEXTARG\"),\"COLOR\";case 662:return a.yytext=\"\\u2236\\u223c\",\"OP\";case 663:return a.yytext=\"\\u2254\",\"OP\";case 664:return a.yytext=\"\\u2254\",\"OP\";case 665:return a.yytext=\"\\u2236\\u2248\",\"OP\";case 666:return a.yytext=\":\",\"OP\";case 667:return this.pushState(\"TEXTARG\"),\"COLLINES\";case 668:return this.pushState(\"TEXTARG\"),\"COLLAYOUT\";case 669:return this.begin(\"TEXTARG\"),\"COLALIGN\";case 670:return a.yytext=\"\\u2663\",\n\"OP\";case 671:return a.yytext=\"\\u00af\",\"ACCENT\";case 672:return a.yytext=\"\\u229d\",\"OP\";case 673:return a.yytext=\"\\u229a\",\"OP\";case 674:return a.yytext=\"\\u229b\",\"OP\";case 675:return a.yytext=\"\\u2941\",\"OP\";case 676:return a.yytext=\"\\u2940\",\"OP\";case 677:return a.yytext=\"\\u2257\",\"OP\";case 678:return a.yytext=\"\\u2218\",\"OP\";case 679:return\"TEXCHOOSE\";case 680:return a.yytext=\"\\u03c7\",\"A\";case 681:return a.yytext=\"\\u02c7\",\"ACCENTNS\";case 682:return\"CELLOPTS\";case 683:return a.yytext=\"\\u22ef\",\"OP\";case 684:return a.yytext=\n\"\\u00b7\",\"OP\";case 685:return a.yytext=\"\\u22c5\",\"OP\";case 686:return a.yytext=\"\\u2229\",\"OP\";case 687:return a.yytext=\"\\u2aae\",\"OP\";case 688:return a.yytext=\"\\u224f\",\"OP\";case 689:return a.yytext=\"\\u2022\",\"OP\";case 690:return a.yytext=\"\\u2a32\",\"OP\";case 691:return a.yytext=\"\\u22a0\",\"OP\";case 692:return a.yytext=\"\\u229e\",\"OP\";case 693:return a.yytext=\"\\u229f\",\"OP\";case 694:return\"BOXED\";case 695:return a.yytext=\"\\u22a1\",\"OP\";case 696:return a.yytext=\"\\u29c4\",\"OP\";case 697:return a.yytext=\"\\u29c7\",\"OP\";\ncase 698:return a.yytext=\"\\u29c5\",\"OP\";case 699:return a.yytext=\"\\u29c6\",\"OP\";case 700:return a.yytext=\"\\u22c8\",\"OP\";case 701:return a.yytext=\"\\u22a5\",\"OP\";case 702:return a.yytext=\"\\u22a5\",\"OP\";case 703:return\"MATHBF\";case 704:return a.yytext=\"\\u25b8\",\"OP\";case 705:return a.yytext=\"\\u25c2\",\"OP\";case 706:return a.yytext=\"\\u25be\",\"OP\";case 707:return a.yytext=\"\\u25b4\",\"OP\";case 708:return a.yytext=\"\\u25a0\",\"OP\";case 709:return a.yytext=\"\\u29eb\",\"OP\";case 710:return a.yytext=\"\\u290d\",\"OPS\";case 711:return\"BINOM\";\ncase 712:return a.yytext=\"\\u22c0\",\"OPM\";case 713:return a.yytext=\"\\u22c1\",\"OPM\";case 714:return a.yytext=\"\\u2a04\",\"OPM\";case 715:return a.yytext=\"\\u25b3\",\"OP\";case 716:return a.yytext=\"\\u25bd\",\"OP\";case 717:return a.yytext=\"\\u2a09\",\"OPM\";case 718:return a.yytext=\"\\u2605\",\"OP\";case 719:return a.yytext=\"\\u2a06\",\"OPM\";case 720:return a.yytext=\"\\u2a05\",\"OPM\";case 721:return\"BIG\";case 722:return a.yytext=\"\\u2a02\",\"OPM\";case 723:return a.yytext=\"\\u2a01\",\"OPM\";case 724:return a.yytext=\"\\u2a00\",\"OPM\";case 725:return\"BIGL\";\ncase 726:return a.yytext=\"\\u2afc\",\"OPM\";case 727:return\"BIGG\";case 728:return\"BIGGL\";case 729:return\"BIGG\";case 730:return a.yytext=\"\\u2a03\",\"OPM\";case 731:return a.yytext=\"\\u22c3\",\"OPM\";case 732:return a.yytext=\"\\u25cb\",\"OP\";case 733:return a.yytext=\"\\u22c2\",\"OPM\";case 734:return\"BIG\";case 735:return this.pushState(\"TEXTARG\"),\"BGCOLOR\";case 736:return a.yytext=\"\\u226c\",\"OP\";case 737:return a.yytext=\"\\u2136\",\"A\";case 738:return a.yytext=\"\\u03b2\",\"A\";case 739:return\"BVMATRIX\";case 740:return\"BALIGNED\";\ncase 741:return\"BSMALLMATRIX\";case 742:return\"BPMATRIX\";case 743:return\"BMATRIX\";case 744:return\"BGATHERED\";case 745:return\"BCASES\";case 746:return\"BBMATRIX\";case 747:return this.pushState(\"TEXTARG\"),this.pushState(\"TEXTOPTARG\"),this.pushState(\"TRYOPTARG\"),\"BARRAY\";case 748:return\"BALIGNED\";case 749:return\"BVVMATRIX\";case 750:return\"BBBMATRIX\";case 751:return\"BTOGGLE\";case 752:return a.yytext=\"\\u2235\",\"OP\";case 753:return a.yytext=\"\\u2305\",\"OP\";case 754:return a.yytext=\"\\u00af\",\"ACCENTNS\";case 755:return a.yytext=\n\"\\\\\",\"OP\";case 756:return a.yytext=\"\\u22cd\",\"OP\";case 757:return a.yytext=\"\\u223d\",\"OP\";case 758:return a.yytext=\"\\u2035\",\"OPP\";case 759:return a.yytext=\"\\u03f6\",\"OP\";case 760:return\"TEXATOP\";case 761:return a.yytext=\"\\u224d\",\"OP\";case 762:return a.yytext=\"\\u2217\",\"OP\";case 763:return\"ARRAYOPTS\";case 764:return\"ARRAY\";case 765:return a.yytext=a.yytext.slice(1),\"F\";case 766:return a.yytext=\"\\u224a\",\"OP\";case 767:return a.yytext=\"\\u2248\",\"OP\";case 768:return a.yytext=\"\\u2220\",\"OP\";case 769:return a.yytext=\n\"\\u2a3f\",\"OP\";case 770:return a.yytext=\"\\u03b1\",\"A\";case 771:return this.pushState(\"TEXTARG\"),\"ALIGN\";case 772:return a.yytext=\"\\u2135\",\"A\";case 773:return a.yytext=\"\\u22f0\",\"OP\";case 774:return a.yytext=\"\\u0396\",\"A\";case 775:return a.yytext=\"\\u039e\",\"A\";case 776:return a.yytext=\"\\u22c0\",\"OPM\";case 777:return a.yytext=\"\\u2980\",\"OPFS\";case 778:return a.yytext=\"\\u22aa\",\"OP\";case 779:return a.yytext=\"\\u2016\",\"OPFS\";case 780:return a.yytext=\"\\u22c1\",\"OPM\";case 781:return a.yytext=\"\\u22a9\",\"OP\";case 782:return a.yytext=\n\"\\u2aeb\",\"OP\";case 783:return a.yytext=\"\\u22ab\",\"OP\";case 784:return a.yytext=\"\\u290a\",\"OPS\";case 785:return a.yytext=\"\\u03d2\",\"A\";case 786:return a.yytext=\"\\u03d2\",\"A\";case 787:return a.yytext=\"\\u21d5\",\"OPS\";case 788:return a.yytext=\"\\u21d1\",\"OPS\";case 789:return a.yytext=\"\\u22c3\",\"OPM\";case 790:return a.yytext=\"\\u0398\",\"A\";case 791:return a.yytext=\"\\u03a4\",\"A\";case 792:return a.yytext=\"\\u22d1\",\"OP\";case 793:return a.yytext=\"\\u22d0\",\"OP\";case 794:return a.yytext=\"\\u03a3\",\"A\";case 795:return a.yytext=\n\"\\u21b1\",\"OPS\";case 796:return a.yytext=\"\\u21db\",\"OPS\";case 797:return a.yytext=\"\\u21d2\",\"OPS\";case 798:return a.yytext=\"\\u03a1\",\"A\";case 799:return a.yytext=\"\\u211c\",\"A\";case 800:return a.yytext=\"\\u03a8\",\"A\";case 801:return a.yytext=\"\\u03a0\",\"A\";case 802:return a.yytext=\"\\u03a6\",\"A\";case 803:return a.yytext=\"\\u2aeb\",\"OP\";case 804:return a.yytext=\"\\u2a34\",\"OP\";case 805:return a.yytext=\"\\u2a2d\",\"OP\";case 806:return a.yytext=\"\\u03a9\",\"A\";case 807:return a.yytext=\"\\u039d\",\"A\";case 808:return a.yytext=\n\"\\u039c\",\"A\";case 809:return a.yytext=\"\\u2907\",\"OP\";case 810:return a.yytext=\"\\u2906\",\"OP\";case 811:return a.yytext=\"\\u21b0\",\"OPS\";case 812:return a.yytext=\"\\u27f9\",\"OPS\";case 813:return a.yytext=\"\\u27fa\",\"OPS\";case 814:return a.yytext=\"\\u27f8\",\"OPS\";case 815:return a.yytext=\"\\u21da\",\"OPS\";case 816:return a.yytext=\"\\u21d4\",\"OPS\";case 817:return a.yytext=\"\\u21d0\",\"OPS\";case 818:return a.yytext=\"\\u039b\",\"A\";case 819:return a.yytext=\"\\u039a\",\"A\";case 820:return a.yytext=\"\\u0399\",\"A\";case 821:return a.yytext=\n\"\\u22c2\",\"OPM\";case 822:return a.yytext=\"\\u2111\",\"A\";case 823:return a.yytext=\"\\u0393\",\"A\";case 824:return a.yytext=\"\\u0397\",\"A\";case 825:return a.yytext=\"=\\u2237\",\"OP\";case 826:return a.yytext=\"\\u2212\\u2237\",\"OP\";case 827:return a.yytext=\"=\\u2237\",\"OP\";case 828:return a.yytext=\"=\\u2237\",\"OP\";case 829:return a.yytext=\"=\\u2237\",\"OP\";case 830:return a.yytext=\"\\u21d3\",\"OPS\";case 831:return a.yytext=\"\\u2251\",\"OP\";case 832:return a.yytext=\"\\u22c4\",\"OP\";case 833:return a.yytext=\"\\u0394\",\"A\";case 834:return a.yytext=\n\"\\u2207\",\"OP\";case 835:return a.yytext=\"\\u290b\",\"OPS\";case 836:return a.yytext=\"\\u2ae4\",\"OP\";case 837:return a.yytext=\"\\u22d3\",\"OP\";case 838:return a.yytext=\"\\u2237\\u223c\",\"OP\";case 839:return a.yytext=\"\\u2a74\",\"OP\";case 840:return a.yytext=\"\\u2237\\u2212\",\"OP\";case 841:return a.yytext=\"\\u2237\\u2248\",\"OP\";case 842:return a.yytext=\"\\u2237\",\"OP\";case 843:return a.yytext=\"\\u22d2\",\"OP\";case 844:return a.yytext=\"\\u224e\",\"OP\";case 845:return a.yytext=\"\\u25a1\",\"OP\";case 846:return\"BBIG\";case 847:return\"BBIGL\";\ncase 848:return\"BBIGG\";case 849:return\"BBIGGL\";case 850:return\"BBIGG\";case 851:return\"BBIG\";case 852:return a.yytext=\"\\u0392\",\"A\";case 853:return a.yytext=\"\\u213f\",\"A\";case 854:return a.yytext=\"\\u0391\",\"A\";case 855:return a.yytext=\"\\u212b\",\"A\";case 856:return\"THICKSPACE\";case 857:return\"MEDSPACE\";case 858:return\"THINSPACE\";case 859:return a.yytext=\"&\",\"A\";case 860:return a.yytext=\"%\",\"A\";case 861:return a.yytext=\"$\",\"A\";case 862:return a.yytext=\"#\",\"OP\";case 863:return\"NEGSPACE\";case 864:return\"OPS\";\ncase 865:return\"OPP\";case 866:return\"OPM\";case 867:return\"OPFS\";case 868:return\"OPF\";case 869:return\"OP\";case 870:return\"NUM\";case 871:return\"A\";case 872:return a.yytext=\"\\u2057\",\"OPP\";case 873:return a.yytext=\"\\u2034\",\"OPP\";case 874:return a.yytext=\"\\u2033\",\"OPP\";case 875:return a.yytext=\"\\u2032\",\"OPP\";case 876:return\"HIGH_SURROGATE\";case 877:return\"LOW_SURROGATE\";case 878:return\"BMP_CHARACTER\"}},rules:[/^(?:.)/,/^(?:\\$\\$|\\\\\\[|\\$|\\\\\\()/,/^(?:$)/,/^(?:\\\\[$\\\\])/,/^(?:[<&>])/,/^(?:[^])/,/^(?:\\s*\\[)/,\n/^(?:.)/,/^(?:([^\\\\\\]]|(\\\\[\\\\\\]]))+)/,/^(?:\\])/,/^(?:\\s*\\{)/,/^(?:([^\\\\\\}]|(\\\\[\\\\\\}]))+)/,/^(?:\\})/,/^(?:\\])/,/^(?:\\s+)/,/^(?:\\$\\$|\\\\\\]|\\$|\\\\\\))/,/^(?:\\{)/,/^(?:\\})/,/^(?:\\^)/,/^(?:_)/,/^(?:\\.)/,/^(?:&)/,/^(?:\\\\\\\\)/,/^(?:[0-9]+(?:\\.[0-9]+)?|[\\u0660-\\u0669]+(?:\\u066B[\\u0660-\\u0669]+)?|(?:\\uD835[\\uDFCE-\\uDFD7])+|(?:\\uD835[\\uDFD8-\\uDFE1])+|(?:\\uD835[\\uDFE2-\\uDFEB])+|(?:\\uD835[\\uDFEC-\\uDFF5])+|(?:\\uD835[\\uDFF6-\\uDFFF])+)/,/^(?:[a-zA-Z]+)/,/^(?:\\u2ADD\\u0338)/,/^(?:\\u2ACC\\uFE00)/,/^(?:\\u2ACB\\uFE00)/,/^(?:\\u2AB0\\u0338)/,\n/^(?:\\u2AAF\\u0338)/,/^(?:\\u2AA2\\u0338)/,/^(?:\\u2AA1\\u0338)/,/^(?:\\u2A7E\\u0338)/,/^(?:\\u2A7D\\u0338)/,/^(?:\\u29D0\\u0338)/,/^(?:\\u29CF\\u0338)/,/^(?:\\u2290\\u0338)/,/^(?:\\u228F\\u0338)/,/^(?:\\u228B\\uFE00)/,/^(?:\\u228A\\uFE00)/,/^(?:\\u2283\\u20D2)/,/^(?:\\u2282\\u20D2)/,/^(?:\\u227F\\u0338)/,/^(?:\\u226B\\u0338)/,/^(?:\\u226A\\u0338)/,/^(?:\\u2269\\uFE00)/,/^(?:\\u2268\\uFE00)/,/^(?:\\u2266\\u0338)/,/^(?:\\u224F\\u0338)/,/^(?:\\u224E\\u0338)/,/^(?:\\u2242\\u0338)/,/^(?:\\u223D\\u0331)/,/^(?:\\u2237\\u2248)/,/^(?:\\u2237\\u223C)/,/^(?:\\u2237\\u2212)/,\n/^(?:\\u2236\\u2248)/,/^(?:\\u2236\\u223C)/,/^(?:\\u2212\\u2237)/,/^(?:\\u007C\\u007C\\u007C)/,/^(?:\\u007C\\u007C)/,/^(?:\\u003E\\u003D)/,/^(?:\\u003D\\u2237)/,/^(?:\\u003D\\u2237)/,/^(?:\\u003D\\u003D)/,/^(?:\\u003C\\u003E)/,/^(?:\\u003C\\u003D)/,/^(?:\\u003A\\u003D)/,/^(?:\\u002F\\u003D)/,/^(?:\\u002F\\u002F)/,/^(?:\\u002E\\u002E\\u002E)/,/^(?:\\u002E\\u002E)/,/^(?:\\u002D\\u003E)/,/^(?:\\u002D\\u003D)/,/^(?:\\u002D\\u002D)/,/^(?:\\u002B\\u003D)/,/^(?:\\u002B\\u002B)/,/^(?:\\u002A\\u003D)/,/^(?:\\u002A\\u002A)/,/^(?:\\u0026\\u0026)/,/^(?:\\u0021\\u003D)/,\n/^(?:\\u0021\\u0021)/,/^(?:\\\\\\})/,/^(?:\\\\\\|)/,/^(?:\\\\\\{)/,/^(?:\\\\zeta)/,/^(?:\\\\xrightleftharpoons)/,/^(?:\\\\xrightarrow)/,/^(?:\\\\xmapsto)/,/^(?:\\\\xleftrightharpoons)/,/^(?:\\\\xleftrightarrow)/,/^(?:\\\\xleftarrow)/,/^(?:\\\\xi)/,/^(?:\\\\xhookrightarrow)/,/^(?:\\\\xhookleftarrow)/,/^(?:\\\\xRightarrow)/,/^(?:\\\\xLeftrightarrow)/,/^(?:\\\\xLeftarrow)/,/^(?:\\\\wr)/,/^(?:\\\\wp)/,/^(?:\\\\widevec)/,/^(?:\\\\widetilde)/,/^(?:\\\\widehat)/,/^(?:\\\\widecheck)/,/^(?:\\\\widebar)/,/^(?:\\\\wedgeq)/,/^(?:\\\\wedge)/,/^(?:\\\\vert)/,/^(?:\\\\veebar)/,\n/^(?:\\\\vee)/,/^(?:\\\\vec)/,/^(?:\\\\vdots)/,/^(?:\\\\vdash)/,/^(?:\\\\vartriangleright)/,/^(?:\\\\vartriangleleft)/,/^(?:\\\\vartriangle)/,/^(?:\\\\vartheta)/,/^(?:\\\\varsupsetneqq)/,/^(?:\\\\varsupsetneq)/,/^(?:\\\\varsubsetneqq)/,/^(?:\\\\varsubsetneqq)/,/^(?:\\\\varsubsetneq)/,/^(?:\\\\varsigma)/,/^(?:\\\\varrho)/,/^(?:\\\\varpropto)/,/^(?:\\\\varpi)/,/^(?:\\\\varphi)/,/^(?:\\\\varnothing)/,/^(?:\\\\varkappa)/,/^(?:\\\\varepsilon)/,/^(?:\\\\vDash)/,/^(?:\\\\upuparrows)/,/^(?:\\\\upsilon)/,/^(?:\\\\uplus)/,/^(?:\\\\upint)/,/^(?:\\\\upharpoonright)/,\n/^(?:\\\\upharpoonleft)/,/^(?:\\\\updownarrow)/,/^(?:\\\\updarr)/,/^(?:\\\\uparrow)/,/^(?:\\\\uparr)/,/^(?:\\\\unrhd)/,/^(?:\\\\unlhd)/,/^(?:\\\\union)/,/^(?:\\\\underset)/,/^(?:\\\\underoverset)/,/^(?:\\\\underline)/,/^(?:\\\\underbrace)/,/^(?:\\\\udots)/,/^(?:\\\\twoheadrightarrowtail)/,/^(?:\\\\twoheadrightarrow)/,/^(?:\\\\twoheadleftarrow)/,/^(?:\\\\tripleintegral)/,/^(?:\\\\trianglerighteq)/,/^(?:\\\\triangleright)/,/^(?:\\\\triangleq)/,/^(?:\\\\trianglelefteq)/,/^(?:\\\\triangleleft)/,/^(?:\\\\triangledown)/,/^(?:\\\\triangle)/,/^(?:\\\\towa)/,\n/^(?:\\\\tosa)/,/^(?:\\\\top)/,/^(?:\\\\tooltip)/,/^(?:\\\\tona)/,/^(?:\\\\toggle)/,/^(?:\\\\toea)/,/^(?:\\\\to)/,/^(?:\\\\timesb)/,/^(?:\\\\times)/,/^(?:\\\\tilde)/,/^(?:\\\\thinspace)/,/^(?:\\\\thickspace)/,/^(?:\\\\thicksim)/,/^(?:\\\\thickapprox)/,/^(?:\\\\theta)/,/^(?:\\\\therefore)/,/^(?:\\\\tfrac)/,/^(?:\\\\textstyle)/,/^(?:\\\\textsize)/,/^(?:\\\\textquotedblright)/,/^(?:\\\\textquotedblleft)/,/^(?:\\\\textasciitilde)/,/^(?:\\\\textasciigrave)/,/^(?:\\\\textasciicircumflex)/,/^(?:\\\\textasciiacute)/,/^(?:\\\\text)/,/^(?:\\\\tensor)/,/^(?:\\\\tbinom)/,\n/^(?:\\\\tau)/,/^(?:\\\\swarrow)/,/^(?:\\\\swarr)/,/^(?:\\\\swArrow)/,/^(?:\\\\swArr)/,/^(?:\\\\surd)/,/^(?:\\\\supsetneqq)/,/^(?:\\\\supsetneq)/,/^(?:\\\\supseteqq)/,/^(?:\\\\supseteq)/,/^(?:\\\\supset)/,/^(?:\\\\sum)/,/^(?:\\\\succsim)/,/^(?:\\\\succnsim)/,/^(?:\\\\succneqq)/,/^(?:\\\\succnapprox)/,/^(?:\\\\succeq)/,/^(?:\\\\succcurlyeq)/,/^(?:\\\\succapprox)/,/^(?:\\\\succ)/,/^(?:\\\\substack)/,/^(?:\\\\subsetneqq)/,/^(?:\\\\subsetneq)/,/^(?:\\\\subseteqq)/,/^(?:\\\\subseteq)/,/^(?:\\\\subset)/,/^(?:\\\\statusline)/,/^(?:\\\\star)/,/^(?:\\\\stackrel)/,\n/^(?:\\\\sslash)/,/^(?:\\\\square)/,/^(?:\\\\sqsupseteq)/,/^(?:\\\\sqsupset)/,/^(?:\\\\sqsubseteq)/,/^(?:\\\\sqsubset)/,/^(?:\\\\sqrt)/,/^(?:\\\\sqcup)/,/^(?:\\\\sqcap)/,/^(?:\\\\sphericalangle)/,/^(?:\\\\spadesuit)/,/^(?:\\\\space)/,/^(?:\\\\smile)/,/^(?:\\\\smallsmile)/,/^(?:\\\\smallsetminus)/,/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|\\uD835[\\uDC00-\\uDC54\\uDC56-\\uDC9C\\uDC9E\\uDC9F\\uDCA2\\uDCA5\\uDCA6\\uDCA9-\\uDCAC\\uDCAE-\\uDCB9\\uDCBB\\uDCBD-\\uDCC3\\uDCC5-\\uDD05\\uDD07-\\uDD0A\\uDD0D-\\uDD14\\uDD16-\\uDD1C\\uDD1E-\\uDD39\\uDD3B-\\uDD3E\\uDD40-\\uDD44\\uDD46\\uDD4A-\\uDD50\\uDD52-\\uDEA5\\uDEA8-\\uDFCB])/,\n/^(?:'''')/,/^(?:''')/,/^(?:'')/,/^(?:')/,/^(?:[\\uD800-\\uDBFF])/,/^(?:[\\uDC00-\\uDFFF])/,/^(?:.)/],conditions:{MATH0:{rules:[14,15,16,17,18,19,20,21,22,23,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,\n131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,\n257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,\n383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,\n509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,\n635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,\n761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878],inclusive:!0},MATH1:{rules:[14,\n15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,\n162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,\n288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,\n414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,\n540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,\n666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,\n792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878],inclusive:!0},OPTARG:{rules:[13,14,15,16,17,18,19,20,21,22,23,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,\n55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,\n192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,\n318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,\n444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,\n570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,\n696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720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new Ib}();\n\"undefined\"!==typeof require&&\"undefined\"!==typeof exports&&(exports.setDOMParser=function(Xa){TeXZilla.setDOMParser(Xa)},exports.setXMLSerializer=function(Xa){TeXZilla.setXMLSerializer(Xa)},exports.setSafeMode=function(Xa){TeXZilla.setSafeMode(Xa)},exports.setItexIdentifierMode=function(Xa){TeXZilla.setItexIdentifierMode(Xa)},exports.getTeXSource=function(){return TeXZilla.getTeXSource.apply(TeXZilla,arguments)},exports.toMathMLString=function(){return TeXZilla.toMathMLString.apply(TeXZilla,arguments)},\nexports.toMathML=function(){return TeXZilla.toMathML.apply(TeXZilla,arguments)},exports.toImage=function(){return TeXZilla.toImage.apply(TeXZilla,arguments)},exports.filterString=function(){return TeXZilla.filterString.apply(TeXZilla,arguments)},exports.filterElement=function(){return TeXZilla.filterElement.apply(TeXZilla,arguments)});\nif(\"undefined\"!==typeof require){var exitCommonJS=function(Xa){\"undefined\"!==typeof process?process.exit(Xa):\"undefined\"!==typeof slimer?slimer.exit(Xa):\"undefined\"!==typeof phantom&&phantom.exit(Xa)},usage=function(){console.log(\"\\nUsage:\\n\");console.log(\"commonjs TeXZilla.js [help]\");console.log(\" Print this help message.\\n\");console.log(\"commonjs TeXZilla.js parser aTeX [aDisplay] [aRTL] [aThrowExceptionOnError]\");console.log(\" Print TeXZilla.toMathMLString(aTeX, aDisplay, aRTL, aThrowExceptionOnError)\");\nconsole.log(\" The interpretation of arguments and the default values are the same.\\n\");console.log(\"commonjs TeXZilla.js webserver [port] [safe] [itexId]\");console.log(\" Start a Web server on the specified port (default:3141)\");console.log(\" See the TeXZilla wiki for details.\\n\");console.log(\"cat input | commonjs TeXZilla.js streamfilter [safe] [itexId] > output\");console.log(\" Make TeXZilla behaves as a stream filter. The TeX fragments are\");console.log(\" converted into MathML.\");console.log(\" See the TeXZilla wiki for details.\\n\");\nconsole.log(\" where commonjs is slimerjs, nodejs or phantomjs.\")},setParamValue=function(Xa,cb,e){if(\"tex\"===cb)Xa[cb]=e;else if(\"display\"===cb||\"rtl\"===cb||\"exception\"===cb||\"safe\"===cb||\"itexId\"===cb)Xa[cb]=\"true\"===e},getMathMLString=function(Xa){return TeXZilla.toMathMLString(Xa.tex,Xa.display,Xa.rtl,Xa.exception)},getParametersFromURL=function(Xa){var cb,e,Za,nb;cb={};if(Xa=Xa.split(\"?\")[1])for(Xa=Xa.split(\"&\"),e=0;e<Xa.length;e++)Za=Xa[e].split(\"=\"),nb=decodeURIComponent(Za[0]).toLowerCase(),\nZa=decodeURIComponent(Za[1]),setParamValue(cb,nb,Za);return cb},getParametersFromPOSTData=function(Xa){var cb={};Xa=JSON.parse(Xa);for(var e in Xa)setParamValue(cb,e,Xa[e]);return cb},getServerResponseFromParam=function(Xa){var cb={tex:Xa.tex};try{cb.mathml=getMathMLString(Xa),cb.exception=null}catch(e){cb.exception=e.message}return JSON.stringify(cb)},webserverListener=function(Xa,cb){var e={},Za={};\"GET\"===Xa.method?e=getParametersFromURL(Xa.url):\"POST\"===Xa.method&&(e=getParametersFromPOSTData(Xa.post));\nvoid 0!==e.tex&&(Za=getServerResponseFromParam(e));e=JSON.stringify(Za);cb.statusCode=200;cb.setHeader(\"Content-Type\",\"application/json\");cb.write(e);cb.close()},httpListener=function(Xa,cb){var e={},Za={},nb,lb=\"\";Xa.setEncoding(\"utf8\");Xa.on(\"data\",function(e){lb+=e});Xa.on(\"end\",function(){cb.writeHead(200,{\"Content-Type\":\"\"});\"GET\"===Xa.method?e=getParametersFromURL(Xa.url):\"POST\"===Xa.method&&(e=getParametersFromPOSTData(lb));void 0!==e.tex&&(Za=getServerResponseFromParam(e));nb=JSON.stringify(Za);\ncb.writeHead(200,{\"Content-Type\":\"application/json\"});cb.write(nb);cb.end()})},startWebServer=function(Xa){try{require(\"webserver\").create().listen(Xa,webserverListener)}catch(cb){require(\"http\").createServer(httpListener).listen(Xa)}console.log(\"Web server started on http://localhost:\"+Xa)},main=function(Xa,cb){var e={};if(3<=Xa.length&&\"parser\"===Xa[1]){setParamValue(e,\"tex\",Xa[2]);setParamValue(e,\"display\",Xa[3]);setParamValue(e,\"rtl\",Xa[4]);setParamValue(e,\"exception\",Xa[5]);try{console.log(getMathMLString(e)),\nexitCommonJS(0)}catch(Za){console.log(Za),exitCommonJS(1)}}else if(2<=Xa.length&&\"webserver\"===Xa[1]){setParamValue(e,\"safe\",Xa[2]);TeXZilla.setSafeMode(e.safe);setParamValue(e,\"itexId\",Xa[3]);TeXZilla.setItexIdentifierMode(e.itexId);try{startWebServer(3<=Xa.length?parseInt(Xa[2],10):3141)}catch(nb){console.log(nb),exitCommonJS(1)}}else if(2<=Xa.length&&\"streamfilter\"===Xa[1])if(setParamValue(e,\"safe\",Xa[2]),TeXZilla.setSafeMode(e.safe),setParamValue(e,\"itexId\",Xa[3]),TeXZilla.setItexIdentifierMode(e.itexId),\n\"undefined\"!==typeof process){var lb=\"\";process.stdin.resume();process.stdin.setEncoding(\"utf-8\");process.stdin.on(\"data\",function(e){lb+=e});process.stdin.on(\"end\",function(){console.log(TeXZilla.filterString(lb,!0));exitCommonJS(0)})}else console.log(TeXZilla.filterString(require(\"system\").stdin.read(),!0)),exitCommonJS(0);else usage(),exitCommonJS(0)};if(\"undefined\"===typeof exports||\"undefined\"!==typeof module&&require.main===module)\"undefined\"!==typeof process?main(process.argv.slice(1)):main(require(\"system\").args)};\n\n})($tw.node ? $tw.fakeDocument : window.document)\n"
},
"$:/plugins/joerenes/TW5-TeXZilla/macro-parser.js": {
"type": "application/javascript",
"title": "$:/plugins/joerenes/TW5-TeXZilla/macro-parser.js",
"module-type": "library",
"text": "(function(document) {\n\nescapeRegExp = function(string) {\n\treturn string.replace(/([.*+?^=!:${}()|\\[\\]\\/\\\\])/g, \"\\\\$1\");\n};\n\n\n// force use of #1, #2, etc. in newcommand definitions, which I think is the standard \n// (though I believe it is possible to use a single # for a one-argument command)\n\n// then, we can input the data to be mapped through the template as an array, rather than an object \n// with keyword/definition pairs. perhaps this is faster. Here, the template itself is just \\langle #1 | #2 \\rangle\n\nmaplatextemplate = function(template, data) {\n\treturn template.replace(/#(\\d)/g, function(match, p1) {\n\t\treturn data[p1-1];\n\t})\n};\n\nlatexmacro2regex = function(macroname, numargs) { // macroname is the string '\\ket'\n\treturn new RegExp(escapeRegExp(macroname) + Array(numargs+1).join('{(.*?)}'), 'g');\n};\n\n// the regexp searcher is going to need to know how many arguments to look for, since in latex it's always\n// permissible to enclose commands in {}, i.e. \\frac{a}{b}{c} is the same as \\frac{a}{b}c. \n// note that here we are doing a simple parse which looks for arguments explicitly bounded by {};\n// even though latex itself recognizes \\frac ab as \\frac{a}{b}, we will only accept the latter. \n\n// follow padawanphysicist's convention of separating by tab.\n\n// going in \"reverse\" error has the advantage that macros can be defined in terms of macros \n// appearing previously on the list\n\nexports.expandLaTeXmacros = function(wtext,macrolist) { // returns text with latex macros expanded\n\tfor (var i = macrolist.length - 1; i >= 0; i--) { \n\t\tvar macroarray = macrolist[i].split('\\t');\n\t\tvar searchRe = latexmacro2regex(macroarray[0],parseInt(macroarray[1]));\n\t\tfunction replacer(match) {\n\t\t\tvar data = Array.prototype.slice.call(arguments, 1,-2);\n\t\t\treturn maplatextemplate(macroarray[2],data);\n\t\t}\n\t\twtext = wtext.replace(searchRe,replacer);\n\t};\n\treturn wtext;\n};\n\n\n\n//var text = \"\\\\ket{a}+\\\\tr[A]+\\\\braket{x}{y}+\\\\ketbra{j}{k}\";\n//var macrolist = [\"\\\\tr\\t0\\t\\\\text{Tr}\",\"\\\\ket\\t1\\t|#1\\\\rangle\",\"\\\\bra\\t1\\t\\\\langle #1 |\",\"\\\\braket\\t2\\t\\\\langle #1 | #2 \\\\rangle\",\"\\\\ketbra\\t2\\t\\\\ket{#1}\\\\bra{#2}\"];\n//console.log(exports.expandLaTeXmacros(text,macrolist))\n})($tw.node ? $tw.fakeDocument : window.document)\n"
},
"$:/plugins/joerenes/TW5-TexZilla/latex-parser.js": {
"text": "/*\\\ntitle: $:/plugins/joerenes/TW5-TexZilla/latex-parser.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for LaTeX, both inline and display. For example:\n\n```\n\t$$latex-goes-here$$ \tinline\n\t\\[more-latex\\]\t\t\tdisplay\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except latex-parser \n\\rules only latex-parser \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n//var displayopen = '\\\\\\[',\n//\tdisplayclose = '\\\\\\]',\n// inlinestring = '\\$\\$';\n\nexports.name = \"latex-parser\";\nexports.types = {inline: true}; // this is confusing; but this inline is setting the form of this wikitext parser.\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\\\[|\\$\\$/mg; // just escape regexp... new RegExp(displayopen + '|' + inlinestring,'mg'); \n};\n\nexports.parse = function() {\n\t// figure out which delimiter we're dealing with. the result of the first regex from init is stored in this.match\n\tvar openmatch = this.match[0],\n\t\tdisplaystyle,\n\t\treEnd;\n\n\tif(openmatch == '\\$\\$') {\n\t\tdisplaystyle = \"inline\";\n\t\treEnd = /\\$\\$/mg;\n\t} else {\n\t\tdisplaystyle = \"block\";\n\t\treEnd = /\\\\\\]/mg;\n\t}\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"latex\",\n\t\tattributes: {\n\t\t\ttext: {\n\t\t\t\ttype: \"text\",\n\t\t\t\tvalue: text\n\t\t\t},\n\t\t\tstyle: {\n\t\t\t\ttype: \"text\",\n\t\t\t\tvalue: displaystyle\n\t\t\t}\n\t\t}\n\t}];\n};\n\n})();\n",
"title": "$:/plugins/joerenes/TW5-TexZilla/latex-parser.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/plugins/joerenes/TW5-TeXZilla/mathstyle": {
"tags": "[[$:/tags/Stylesheet]]",
"title": "$:/plugins/joerenes/TW5-TeXZilla/mathstyle",
"type": "text/css",
"text": "html math[display=\"block\"] {\n\tfont-size: 120%;\n}\n\nhtml math {\n\tfont-size: 110%;\n}\n"
},
"$:/plugins/joerenes/TW5-TeXZilla/wrapper.js": {
"text": "/*\\\ntitle: $:/plugins/joerenes/TW5-TeXZilla/wrapper.js\ntype: application/javascript\nmodule-type: widget\n\nWrapper for `TeXZilla-min.js` that provides a `<$latex>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar texzilla = require(\"$:/plugins/joerenes/TW5-TeXZilla/TeXZilla-min.js\"),\n\tmacroparser = require(\"$:/plugins/joerenes/TW5-TeXZilla/macro-parser.js\"),\n\t//Wiki = require(\"$:/core/modules/wiki.js\"),\n\tWidget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LaTeXWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nLoad macros from LaTeX Macros tiddler\n*/\n//var blah = $tw.wiki.getTiddlerText(\"Nonexist\");\n// this doesn't seem to notice changes to the tiddler.\n// also, we aren't doing any error-handling...\n\n/*\nInherit from the base widget class\n*/\nLaTeXWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLaTeXWidget.prototype.render = function(parent,nextSibling) {\n\t// Housekeeping\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Get the source text and figure out the displaystyle\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\tvar style = this.getAttribute(\"style\",this.parseTreeNode.text || \"\");\n\tvar blockflag = (style == \"block\") ? true:false;\n\t// expand macros, after loading them, if they are present\n\tvar macrocont = $tw.wiki.getTiddlerText(\"LaTeX Macros\");\n\tif (typeof macrocont === \"undefined\") {\n\t\t; // no macros\n\t} else {\n\t\ttext = macroparser.expandLaTeXmacros(text,macrocont.toString().split('\\n'));\n\t}\n\t// Render it into MathML \n\tvar elemnt = this.document.createElement(\"span\"); \n\ttry {\n\t\tif($tw.browser) {\n\t\t\t// false means inline, true would be display / block\n\t\t\tvar elemnt = texzilla.toMathML(text,blockflag,false,true);\n\t\t} else {\n\t\t\telemnt.innerHTML = texzilla.toMathMLString(text,blockflag,false,true);\n\t\t}\n\t} catch(ex) {\n\t\telemnt.className = \"tc-error\";\n\t\telemnt.textContent = text;\n\t}\n\t// Insert it into the DOM\n\tparent.insertBefore(elemnt,nextSibling);\n\tthis.domNodes.push(elemnt);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLaTeXWidget.prototype.execute = function() {\n\t// Nothing to do for a LaTeX widget\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLaTeXWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.latex = LaTeXWidget;\n\n\n})();\n\n",
"title": "$:/plugins/joerenes/TW5-TeXZilla/wrapper.js",
"type": "application/javascript",
"module-type": "widget"
}
}
}
(function(document) {
escapeRegExp = function(string) {
return string.replace(/([.*+?^=!:${}()|\[\]\/\\])/g, "\\$1");
};
// force use of #1, #2, etc. in newcommand definitions, which I think is the standard
// (though I believe it is possible to use a single # for a one-argument command)
// then, we can input the data to be mapped through the template as an array, rather than an object
// with keyword/definition pairs. perhaps this is faster. Here, the template itself is just \langle #1 | #2 \rangle
maplatextemplate = function(template, data) {
return template.replace(/#(\d)/g, function(match, p1) {
return data[p1-1];
})
};
latexmacro2regex = function(macroname, numargs) { // macroname is the string '\ket'
return new RegExp(escapeRegExp(macroname) + Array(numargs+1).join('{(.*?)}'), 'g');
};
// the regexp searcher is going to need to know how many arguments to look for, since in latex it's always
// permissible to enclose commands in {}, i.e. \frac{a}{b}{c} is the same as \frac{a}{b}c.
// note that here we are doing a simple parse which looks for arguments explicitly bounded by {};
// even though latex itself recognizes \frac ab as \frac{a}{b}, we will only accept the latter.
// follow padawanphysicist's convention of separating by tab.
// going in "reverse" error has the advantage that macros can be defined in terms of macros
// appearing previously on the list
exports.expandLaTeXmacros = function(wtext,macrolist) { // returns text with latex macros expanded
for (var i = macrolist.length - 1; i >= 0; i--) {
var macroarray = macrolist[i].split('\t');
var searchRe = latexmacro2regex(macroarray[0],parseInt(macroarray[1]));
function replacer(match) {
var data = Array.prototype.slice.call(arguments, 1,-2);
return maplatextemplate(macroarray[2],data);
}
wtext = wtext.replace(searchRe,replacer);
};
return wtext;
};
//var text = "\\ket{a}+\\tr[A]+\\braket{x}{y}+\\ketbra{j}{k}";
//var macrolist = ["\\tr\t0\t\\text{Tr}","\\ket\t1\t|#1\\rangle","\\bra\t1\t\\langle #1 |","\\braket\t2\t\\langle #1 | #2 \\rangle","\\ketbra\t2\t\\ket{#1}\\bra{#2}"];
//console.log(exports.expandLaTeXmacros(text,macrolist))
})($tw.node ? $tw.fakeDocument : window.document)
{
"tiddlers": {
"$:/sk/WhiteList": {
"text": "LeDoux,McCloud,McDonald,TiddlyWiki,TiddlyWiki5,CamelCase,DuBay,McGraw,McCullough,LeGrange,NaCl,MeOH,EtOH,PiB,TiddlyTools,ResetFind,WikiText,WinBuilder,WinPE,ProgramData,TiddlyFox,GuillermoMartin,AndrewFraser,RochesterMNwalkers,DEdwardsCalgary,WalkaboutMM,HarveyG,McCoy,GeForce,SideBar,AirBnB,PayPal,LeBron,JavaScript,ExpressJet,CutePDF,McClouds,McElroy,McGovern,TableHelper,ShadowTiddler",
"caption": "Words to never consider as CamelCase links",
"created": "20150210172146298",
"creator": "Stephen",
"description": "Words that should never be considered as CamelCase wikiwords. Separate the individual words with commas (,).",
"modified": "20160427151253707",
"modifier": "Stephen",
"tags": "ske",
"title": "$:/sk/WhiteList"
},
"$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n// If the link is on the whitelist then just output is as plain text\nvar dummy = \"$:/sk/WhiteList\"\nvar whitelist=$tw.wiki.getTiddlerText(dummy).split(\",\");\nvar n=whitelist.indexOf(linkText);\n\nif(n>-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
"created": "20150209183326265",
"creator": "Stephen",
"modified": "20150210183324354",
"modifier": "Stephen",
"module-type": "wikirule",
"tags": "ske",
"title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
"type": "application/javascript"
}
}
}
{
"tiddlers": {
"$:/plugins/snowgoon88/edit-comptext/config": {
"title": "$:/plugins/snowgoon88/edit-comptext/config",
"type": "application/json",
"text": "{\n \"configuration\": {\n \"caseSensitive\" : false,\n \"maxMatch\" : 8,\n \"minPatLength\" : 2,\n \"triggerKeyCombination\" : \"^ \"\n },\n \"template\": [{\n \"pattern\": \"[[\",\n \"filter\": \"[all[tiddlers]!is[system]]\",\n \"start\": \"[[\",\n \"end\": \"]]\"\n }\n ]\n}\n"
},
"$:/plugins/snowgoon88/edit-comptext/edit-comptext.js": {
"title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.js",
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/edit-comptext.js\ntype: application/javascript\nmodule-type: widget\n\nTaken from original Edit-text widget\nVersion 5.1.13 of TW5\nAdd link-to-tiddler completion in framed.js and simple.js\n\nTODO : CHECK usefull, and particularly save_changes after every input ??\nTODO : where should popupNode be created in the DOM ?\nTODO : check that options are valid (numeric ?)\nvar isNumeric = function(n) {\n return !isNaN(parseFloat(n)) && isFinite(n);\n};\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/framed.js\").FramedCompEngine,\n\tSimpleCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/simple.js\").SimpleCompEngine;\n\nexports[\"edit-comptext\"] = editTextWidgetFactory(FramedCompEngine,SimpleCompEngine);\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/snowgoon88/edit-comptext/examples": {
"title": "$:/plugins/snowgoon88/edit-comptext/examples",
"text": "The configuration file [[$:/plugins/snowgoon88/edit-comptext/config]] allow you to use the completion plugin for various usages. Here are some examples...\n\n!! Link Completion\nThe basic and default usage. Completion is triggered by `[[`, the search is among all non-system tiddlers. When selected, the `title` of the tiddler is inserted in the text, surrounded by `[[` and `]]`. This gives the following Completion Template.\n\n\n```\n{\n \"pattern\": \"[[\",\n \"title\": \"[all[tiddlers]!is[system]]\",\n \"start\": \"[[\",\n \"end\": \"]]\"\n}\t \n```\n\n\n!! Special macro completion\nI have a 'pnjin' macro that is invoked by `<<pnjin \"TiddlerPNJName\">>` where 'TiddlerPNJName is a tiddler that hold data about a PNJ. I use tiddlywiki to organise my Role Playing Games campaigns. So, I want `<p` to trigger the completion. The search is among all non-system tiddlers tagged `PNJ` and, once selected, the title of the tiddler must be inserted surrouned by `<<pnjin \\\"` and `\\\">>`. So...\n\n```\n{\n\t\"pattern\": \"<p\",\n \t\"title\": \"[tag[PNJ]!is[system]]\",\n \t\"start\": \"<<pnjin \\\"\",\n \t\"end\": \"\\\">>\"\n}\n```\n\n!! Insert some templates or stamp or snippets into text.\nI frequently use some text pattern and I want to insert them easily. So, I could create several tiddlers, tagged '$:stamp' and in their body are the piece of texte I want to insert. The titles of these tiddlers always start with `$:/config/stamp/` (i.e. $:/config/stamp/macro, $:/config/stamp/list1, $:/config/stamp/list2). I want to trigger the completion by using `<<`, then I only want to chose among the last part of the titles of tiddlers tagged `$:stamp` so I use a mask (`$:/config/stamp/`) to only display the last part of the tiddlers title. When selectected, the `body` of the tiddler is inserted, with no surrounding strings. As a results, the Completion Template is (notice the `body` field):\n\n```\n{\n \"pattern\": \"<<\",\n \"body\": \"[tag[$:stamp]]\",\n \"mask\" : \"$:/config/stamp/\",\n \"start\": \"\",\n \"end\": \"\"\n}\n```\n\n!! And you ?\nIf you have funny usages of completion, let me know. If you'd like to do something that is not yet possible, let me know...\n\nmail : snowgoon88(AT)gmail(DOT)com"
},
"$:/plugins/snowgoon88/edit-comptext/framed.js": {
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/framed.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/framed.js\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\t\nfunction FramedCompEngine(options) {\n //DEBUG console.log( \"==FramedCompEngine::creation\" );\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n\t// Completion\n\t// Load Completion configuration as JSON\n this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create dummy popup for reading its styles\n\t//this._dummyCompletion = new Completion( this.widget, this.dummyTextArea, this._configOptions);\n\t//REMOVEthis._dummyCompletion.setAttribute(\"hidden\",\"true\");\n\t\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n\n\t// add Completion popup\n this._completion = new Completion( this.widget, this.domNode, this._configOptions, this.dummyTextArea, this.iframeNode.offsetTop, this.iframeNode.offsetLeft );\n\t// print iframe offset\n\t//DEBUG console.log( \" __iframe.offsetLeft: \"+this.iframeNode.offsetLeft );\n //DEBUG console.log( \" __iframe.offsetTop: \"+this.iframeNode.offsetTop );\n \n\t// Copy all styles from dummyCompletion\n\t//$tw.utils.copyStyles(this._dummyCompletion._popNode, this._completion._popNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\t//this._completion._popNode.style.display = \"block\";\n\t//this._completion._popNode.style.width = \"100%\";\n\t//this._completion._popNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\t//this._completion._popNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n \n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedCompEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedCompEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedCompEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedCompEngine.prototype.handleInputEvent = function(event) {\n //DEBUG console.log( \"__framed.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedCompEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedCompEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedCompEngine = FramedCompEngine;\n\n})();\n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/framed.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/simple.js": {
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/simple.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/simple.js\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\nfunction SimpleCompEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n // Completion\n\t// Load Completion configuration as JSON\n this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n\n\t// add Completion popup\n this._completion = new Completion( this.widget, this.domNode, this._configOptions );\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleCompEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleCompEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleCompEngine.prototype.handleInputEvent = function(event) {\n\tconsole.log( \"__simple.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleCompEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleCompEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleCompEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleCompEngine = SimpleCompEngine;\n\n})();\n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/simple.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/cursor-position.js": {
"text": "/*\\\nModule that compute the pixel position of the cursor of a text\nements.\n\nTaken from https://github.com/component/textarea-caret-position\n\n(as https://github.com/kir/js_cursor_position is not updated any more)\n\\*/\n// Fonction anonyme executée immediatement\n( function(){\n \n// The properties that we copy into a mirrored div.\n// Note that some browsers, such as Firefox,\n// do not concatenate properties, i.e. padding-top, bottom etc. -> padding,\n// so we have to do every single property specifically.\nvar properties = [\n 'direction', // RTL support\n 'boxSizing',\n 'width', // on Chrome and IE, exclude the scrollbar, so the mirror div wraps exactly as the textarea does\n 'height',\n 'overflowX',\n 'overflowY', // copy the scrollbar for IE\n\n 'borderTopWidth',\n 'borderRightWidth',\n 'borderBottomWidth',\n 'borderLeftWidth',\n 'borderStyle',\n\n 'paddingTop',\n 'paddingRight',\n 'paddingBottom',\n 'paddingLeft',\n\n // https://developer.mozilla.org/en-US/docs/Web/CSS/font\n 'fontStyle',\n 'fontVariant',\n 'fontWeight',\n 'fontStretch',\n 'fontSize',\n 'fontSizeAdjust',\n 'lineHeight',\n 'fontFamily',\n\n 'textAlign',\n 'textTransform',\n 'textIndent',\n 'textDecoration', // might not make a difference, but better be safe\n\n 'letterSpacing',\n 'wordSpacing',\n\n 'tabSize',\n 'MozTabSize'\n\n];\nvar isFirefox = false;\nif($tw.browser) {\n isFirefox = window.mozInnerScreenX != null;\n}\n\nfunction getCaretCoordinates(element, position, options) {\n\n var debug = options && options.debug || false;\n if (debug) {\n var el = document.querySelector('#input-textarea-caret-position-mirror-div');\n if ( el ) { el.parentNode.removeChild(el); }\n }\n\n // mirrored div\n var div = document.createElement('div');\n div.id = 'input-textarea-caret-position-mirror-div';\n document.body.appendChild(div);\n\n var style = div.style;\n var computed;\n if($tw.browser) {\n computed = window.getComputedStyle? getComputedStyle(element) : element.currentStyle; // currentStyle for IE < 9\n } \n else {\n computed = element.currentStyle;\n }\n \n\n // default textarea styles\n style.whiteSpace = 'pre-wrap';\n if (element.nodeName !== 'INPUT')\n style.wordWrap = 'break-word'; // only for textarea-s\n\n // position off-screen\n style.position = 'absolute'; // required to return coordinates properly\n if (!debug)\n style.visibility = 'hidden'; // not 'display: none' because we want rendering\n\n // transfer the element's properties to the div\n properties.forEach(function (prop) {\n style[prop] = computed[prop];\n });\n\n if (isFirefox) {\n // Firefox lies about the overflow property for textareas: https://bugzilla.mozilla.org/show_bug.cgi?id=984275\n if (element.scrollHeight > parseInt(computed.height))\n style.overflowY = 'scroll';\n } else {\n style.overflow = 'hidden'; // for Chrome to not render a scrollbar; IE keeps overflowY = 'scroll'\n }\n\n div.textContent = element.value.substring(0, position);\n // the second special handling for input type=\"text\" vs textarea: spaces need to be replaced with non-breaking spaces - http://stackoverflow.com/a/13402035/1269037\n if (element.nodeName === 'INPUT')\n div.textContent = div.textContent.replace(/\\s/g, \"\\u00a0\");\n\n var span = document.createElement('span');\n // Wrapping must be replicated *exactly*, including when a long word gets\n // onto the next line, with whitespace at the end of the line before (#7).\n // The *only* reliable way to do that is to copy the *entire* rest of the\n // textarea's content into the <span> created at the caret position.\n // for inputs, just '.' would be enough, but why bother?\n span.textContent = element.value.substring(position) || '.'; // || because a completely empty faux span doesn't render at all\n div.appendChild(span);\n\n var coordinates = {\n top: span.offsetTop + parseInt(computed['borderTopWidth']),\n left: span.offsetLeft + parseInt(computed['borderLeftWidth'])\n };\n\n if (debug) {\n span.style.backgroundColor = '#aaa';\n } else {\n document.body.removeChild(div);\n }\n\n return coordinates;\n}\n\n// Exporte as a module of node.js otherwise set as global\nif (typeof module != \"undefined\" && typeof module.exports != \"undefined\") {\n module.exports = getCaretCoordinates;\n} else {\n window.getCaretCoordinates = getCaretCoordinates;\n}\n\n})();\n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/cursor-position.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/completion.js": {
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/completion.js\ntype: application/javascript\nmodule-type: library\n\nTry to make self-contained completion module.\n\nTo use this 'module', you need a `widget` with a kind of `editarea` node.\nI do not know the exacte prerequisites of this editarea node for the module to\nwork, but mostly one should be able to attach the following `eventHandler` to\nit:\n - input\n - keydown\n - keypress\n - keyup\nThe `widget` is needed because I use:\n - widget.document\n - widget.wiki.filterTiddlers(...)\n\nFrom the Widget, once you have a proper editarea, you just have to call\n - var completion = new Completion( theWidget, theEditAreaNode, configObject);\nwhere `configObject` is expected to have the following fields. if a field is missing, a default value will be given.\nOne can have many `elements' in the template array.\n\n{\n \"configuration\": {\n \"caseSensitive\" : false,\n \"maxMatch\" : 8,\n \"minPatLength\" : 2,\n \"triggerKeyCombination\" : \"^ \"\n },\n \"template\": [{\n \"pattern\": \"[[\",\n \"filter\": \"[all[tiddlers]!is[system]]\",\n \"start\": \"[[\",\n \"end\": \"]]\"\n }\n ]\n}\n\nTODO : CHECK if needed\n\\*/\n\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// To compute pixel coordinates of cursor\nvar getCaretCoordinates = require(\"$:/plugins/snowgoon88/edit-comptext/cursor-position.js\");\n\n/** Default Completion Attributes */\nvar DEFATT = { maxMatch: 5, minPatLength: 2, caseSensitive: false, triggerKeyCombination: \"^ \" };\n\n/** \n * Struct for generic Completion Templates.\n * <ul>\n * <li>pat : pattern searched for.</li>\n * <li>filter : filter operation used to find the list of completion options</li>\n * <li>mask: replaced by \"\" when presenting completion options</li>\n * </ul>\n */\nvar Template = function( pat, filter, mask, field, start, end ) {\n this.pat = pat;\n this.filter = filter;\n this.mask = \"^\"+regExpEscape(mask);\n this.field = field;\n this.start = start;\n this.end = end;\n this.pos = 0;\n};\n/**\n * Struct for storing completion options, as we need to memorise \n * the titles of the tiddlers when masked and when body must be displayed.\n */\nvar OptCompletion = function( title, str ) {\n this.title = title;\n this.str = str;\n};\n\nvar keyMatchGenerator = function(combination) {\n\tlet singleMatchGenerator = function(character) {\n\t\tif (character === '^') {\n\t\t\treturn event => event.ctrlKey;\n\t\t}\n\t\telse if (character === '+') {\n\t\t\treturn event => event.shiftKey;\n\t\t}\n\t\telse if (character === '!') {\n\t\t\treturn event => event.altKey;\n\t\t}\n\t\telse {\n\t\t\treturn event => (event.keyCode || event.which) === character.charCodeAt(0);\n\t\t}\n\t};\n\n\tlet matchers = [];\n\tfor (let i = 0; i < combination.length; i++) {\n\t\tmatchers.push(singleMatchGenerator(combination[i]));\n\t}\n\n\treturn event => {\n\t\tfor (let i = 0; i < matchers.length; i++) {\n\t\t\tif (!matchers[i](event)) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t};\n};\n\n/**\n * Widget is needed in creating popupNode.\n * - widget.document\n * - widget.wiki.filterTiddlers(...)\n * - sibling : where to create the popup in the DOM.\n */\n\tvar Completion = function( editWidget, areaNode, param, sibling, offTop, offLeft ) {\n\tconsole.log( \"==Completion::creation\" );\n\n // About underlying Widget\n this._widget = editWidget;\n\tthis._areaNode = areaNode;\n\tthis._sibling = (typeof sibling !== 'undefined') ? sibling : this._areaNode;\n\tthis._offTop = (typeof offTop !== 'undefined') ? offTop : 0;\n\tthis._offLeft = (typeof offLeft !== 'undefined') ? offLeft : 0;\t\n\t\t\n // Completions attributes\n /** State */\n this._state = \"VOID\";\n this._template = undefined;\n /** Best matches */\n this._bestMatches = []; // An array of OptCompletion\n this._idxChoice = -1;\n /** Param */\n // maximum nb of match displayed\n this._maxMatch = param.configuration.maxMatch || DEFATT.maxMatch; \n this._minPatLength = param.configuration.minPatLength || DEFATT.minPatLength;\n this._caseSensitive= param.configuration.caseSensitive || DEFATT.caseSensitive;\n this._triggerKeyMatcher = keyMatchGenerator(param.configuration.triggerKeyCombination || DEFATT.triggerKeyCombination);\n /** Input information */\n this._lastChar = \"\";\n this._hasInput = false;\n /** List of Completion Templates */\n this._listTemp = [];\n \n // Read templates from Param\n if( param.template ) {\n \tvar idT;\n \tfor( idT=0; idT<param.template.length; idT++ ) {\n \t var temp = param.template[idT];\n\t // field 'body' ou 'title' (default)\n\t if( temp.body ) {\t\t\n \t\tthis._listTemp.push( \n \t\t new Template( temp.pattern, temp.body,\n\t\t\t\t temp.mask ? temp.mask : \"\",\n\t\t\t\t \"body\",\n \t\t\t\t temp.start, temp.end )\n \t\t);\n\t }\n\t else {\n \t\tthis._listTemp.push( \n \t\t new Template( temp.pattern, \n\t\t\t\t temp.title ? temp.title : temp.filter,\n\t\t\t\t temp.mask ? temp.mask : \"\",\n\t\t\t\t \"title\",\n \t\t\t\t temp.start, temp.end )\n \t\t);\n\t }\n\t //DEBUG temp = this._listTemp[this._listTemp.length-1];\n\t //DEBUG console.log( \"__CONF : \"+temp.pattern+\":\"+temp.filter+\":\"+temp.mask+\":\"+temp.field+\":\"+temp.start+\":\"+temp.end );\n \t}\n }\n // or defaut template\n else {\n \tthis._listTemp = [\n \t new Template( \"[[\", \"[all[tiddlers]!is[system]]\", \n\t\t\t \"\", \"title\",\n\t\t\t \"[[\", \"]]\" )\n \t];\n }\n // Create Popup\n\t//this._popNode = createPopup(this._widget, this._areaNode );\n\tthis._popNode = createPopup(this._widget, this._sibling );\t\n \n // Listen to the Keyboard\n $tw.utils.addEventListeners( this._areaNode,[\n\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInput\"},\n\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydown\"},\n\t{name: \"keypress\", handlerObject: this, handlerMethod: \"handleKeypress\"},\n \t{name: \"keyup\", handlerObject: this, handlerMethod: \"handleKeyup\"}\n ]);\n \n /** \n * Find the bestMatches among listChoice with given pattern\n * @param listChoice : array of String\n * @change : this._bestMatches => array of OptCompletion\n */\n this._findBestMatches = function( listChoice, pattern, nbMax) {\n\t// regexp search pattern, case sensitive\n\tvar flagSearch = this._caseSensitive ? \"\" : \"i\" ;\n\tvar regpat = RegExp( regExpEscape(pattern), flagSearch );\n\tvar regpat_start = RegExp( \"^\"+regExpEscape(pattern), flagSearch );\n\tvar regMask = RegExp( this._template.mask ? this._template.mask : \"\",\"\");\n\tvar nbMatch = 0;\n\t// nbMax set to _maxMatch if no value given\n\tnbMax = nbMax !== undefined ? nbMax : this._maxMatch;\n\n\t//DEBUG console.log( \"__FIND masked=\"+regMask+\" regPat=\"+regpat);\n\n\tthis._bestMatches= [];\n\tvar otherMatches = [];\n\t// We test every possible choice\n\tfor( var i=0; i< listChoice.length; i++ ) {\n\t // apply mask over potential choice\n\t var maskedChoice = listChoice[i].replace( regMask, \"\");\n\t // Test first if pattern is found at START of the maskedChoice\n\t // THEN added to BestMatches\n \t if( regpat_start.test( maskedChoice )) {\n\t\tif (nbMatch >= nbMax) {\n\t\t this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t return;\n\t\t} else {\n\t\t this._bestMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t nbMatch += 1;\n\t\t}\n\t }\n\t // then if pattern is found WITHIN the maskedChoice\n\t // added AFTER the choices that starts with pattern\n\t else if( regpat.test( maskedChoice ) ) {\n\t\tif (nbMatch >= nbMax) {\n\t\t // add all otherMatches to _bestMatches\n\t\t this._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\t\t this._bestMatches = this._bestMatches.concat( otherMatches );\n\t\t this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t return;\n\t\t} else {\n\t\t otherMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t nbMatch += 1;\n\t\t}\n\t }\n\t}\n\t// Here, must add the otherMatches\n\tthis._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\tthis._bestMatches = this._bestMatches.concat( otherMatches );\n };\n /**\n * Change Selected Status of Items\n */\n this._next = function (node) {\n\tvar count = node.children.length;\n\t//DEBUG console.log( \"__NEXT: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t this._goto( node, this._idxChoice < count - 1 ? this._idxChoice + 1 : -1);\n\t//DEBUG this._logStatus( \"NexT\" );\n };\n this._previous = function (node) {\n\tvar count = node.children.length;\n\tvar selected = this._idxChoice > -1;\n\t//DEBUG console.log( \"__PREV: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t this._goto( node, selected ? this._idxChoice - 1 : count - 1);\n\t//DEBUG this._logStatus( \"PreV\" );\n };\n // Should not be used, highlights specific item without any checks!\n this._goto = function (node, idx) {\n\tvar lis = node.children;\n\tvar selected = this._idxChoice > -1;\n\tif (selected) {\n\t lis[this._idxChoice].setAttribute(\"patt-selected\", \"false\");\n\t}\n\n\tthis._idxChoice = idx;\n \n\tif (idx > -1 && lis.length > 0) {\n\t lis[idx].setAttribute(\"patt-selected\", \"true\");\n\t}\n };\n /**\n * Abort pattern and undisplay.\n */\n this._abortPattern = function (displayNode) {\n\tthis._state = \"VOID\";\n\tthis._bestChoices = [];\n\tthis._idxChoice = -1;\n\tthis._undisplay( displayNode );\n\tthis._template = undefined;\n };\n /**\n * Display popupNode at the cursor position in areaNode.\n */\n this._display = function( areaNode, popupNode ) {\n\tif ( popupNode.style.display == 'none' ) {\n\t // Must get coordinate\n\t // Cursor coordinates within area + area coordinates + scroll\n var coord = getCaretCoordinates(areaNode, areaNode.selectionEnd);\n var styleSize = getComputedStyle(areaNode).getPropertyValue('font-size');\n var fontSize = parseFloat(styleSize); \n\t\t\n\t popupNode.style.left = (this._offLeft+areaNode.offsetLeft-areaNode.scrollLeft+coord.left) + 'px';\n\t popupNode.style.top = (this._offTop+areaNode.offsetTop-areaNode.scrollTop+coord.top+fontSize*2) + 'px';\n\t popupNode.style.display = 'block';\n\t}\n };\n /**\n * Undisplay someNode\n */\n this._undisplay = function( displayNode ) {\n\tif ( displayNode.style.display != 'none' ) {\n\t displayNode.style.display = 'none';\n\t}\n };\n\n /**\n * Used for debug\n */\n this._logStatus = function(msg) {\n\tconsole.log( \"__STATUS: \"+this._state+\":-\"+msg+\"- idx=\"+this._idxChoice );\n };\n\n};\n// **************************************************************************\n// ******************************************************************eventCbk\n// **************************************************************************\n/**\n * Disable the *effects* of ENTER / UP / DOWN / ESC when needed.\n * Set _hasInput to false.\n */\nCompletion.prototype.handleKeydown = function(event) {\n // key \n var key = event.keyCode;\n this._hasInput = false;\n \n //DEBUG console.log( \"__KEYDOWN (\"+key+\") hasI=\"+this._hasInput);\n \n // ENTER while selecting\n if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 13 ) {\n \tevent.preventDefault();\n \tevent.stopPropagation();\n }\n // ESC while selecting\n if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 27 ) {\n \tevent.preventDefault();\n \tevent.stopPropagation();\n }\n // UP/DOWN while a pattern is extracted\n if( (key===38 || key===40) && \n\t(this._state === \"PATTERN\" || this._state === \"SELECT\") ) {\n\tevent.preventDefault();\n }\n};\n/**\n * Means that something has been added/deleted => set _hasInput\n */\nCompletion.prototype.handleInput = function(event) {\n this._hasInput = true;\n //DEBUG console.log( \"__INPUT hasI=\"+this._hasInput );\n};\n\t\n/**\n * Set _lastChar, detects CTRL+SPACE.\n */\nCompletion.prototype.handleKeypress = function(event) {\n var curPos = this._areaNode.selectionStart; // cursor position\n var val = this._areaNode.value; // text in the area\n // key \n var key = event.keyCode || event.which;\n\t\n this._lastChar = String.fromCharCode(key);\n //DEBUG console.log( \"__KEYPRESS (\"+key+\") hasI=\"+this._hasInput+\" char=\"+this._lastChar );\n //DEBUG this._logStatus( \"KEYPRESS\" );\n \n // Detect Ctrl+Space\n if( this._triggerKeyMatcher(event) && this._state === \"VOID\" ) {\n\t//Find a proper Template\n\t// first from which we can extract a pattern\n\tif( this._template === undefined ) {\n\t //DEBUG console.log(\"__SPACE : find a Template\" );\n\t var idT, res;\n\t for( idT=0; idT < this._listTemp.length; idT++ ) {\n\t\tres = extractPattern( val, curPos, this._listTemp[idT] );\n\t\t//DEBUG console.log(\" t=\"+this._listTemp[idT].pat+\" res=\"+res);\n\t\t// res is not undefined => good template candidate\n\t\tif( res ) {\n\t\t this._template = this._listTemp[idT];\n\t\t this._state = \"PATTERN\";\n\t\t break;\n\t\t}\n\t }\n\t}\n\telse {\n\t //DEBUG console.log(\"__SPACE : already a template\" );\n\t this._state = \"PATTERN\";\n\t}\n }\n};\n/**\n * ESC -> abort; \n * Detect [ -> VOID switch to _state=PATTERN\n * PATTERN || SELECT : ENTER -> insertText\n * UP/DOWN -> previous/next\n * pattern.length > _minPatternLength -> display \n */\nCompletion.prototype.handleKeyup = function(event) {\n var curPos = this._areaNode.selectionStart; // cursor position\n var val = this._areaNode.value; // text in the area\n // key a\n var key = event.keyCode;\n \n //DEBUG console.log( \"__KEYUP (\"+key+\") hasI=\"+this._hasInput );\n \n // ESC\n if( key === 27 ) {\n\tthis._abortPattern( this._popNode );\n\t//DEBUG this._logStatus( \"\" );\n }\n // Check for every template\n if( this._hasInput && this._state === \"VOID\" ) {\n\t// check every template's pattern\n\tvar idT, template;\n\tfor( idT=0; idT < this._listTemp.length; idT++ ) {\n\t template = this._listTemp[idT];\n\t if( this._lastChar === template.pat[template.pos] ) {\n\t\ttemplate.pos += 1;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t\t// Pattern totaly matched ?\n\t\tif( template.pos === template.pat.length ) {\n\t\t //DEBUG console.log( \"__CHECK => found \"+template.pat );\n\t\t this._state = \"PATTERN\";\n\t\t this._template = template;\n\t\t \n\t\t break; // get out of loop\n\t\t}\n\t }\n\t else {\n\t\ttemplate.pos = 0;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t }\n\t}\n }\n // a pattern\n else if( this._state === \"PATTERN\" || this._state === \"SELECT\" ) {\n\t// Pattern below cursor : undefined if no pattern\n\tvar pattern = extractPattern( val, curPos, this._template );\n\tif( key === 13 ) { // ENTER\n\t //DEBUG console.log( \"KEY : Enter\" );\n \t // Choice made in the displayNode ?\n \t var selected = this._idxChoice > -1 && this._idxChoice !== this._maxMatch;\n \t //DEBUG console.log( \" > sel=\"+selected+\" len=\"+this._bestChoices.length );\n \t if( selected ) {\n \t\t//DEBUG console.log( \" > selected\" );\n\t\tvar temp = this._bestMatches[this._idxChoice];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n \t\tinsertInto( this._areaNode,\n\t\t\t str,\n\t\t\t pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t }\n\t // otherwise take the first choice (if exists)\n\t else if( this._bestMatches.length > 0 ) {\n \t\t//DEBUG console.log( \" > take first one\" );\n\t\tvar temp = this._bestMatches[0];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n \t\tinsertInto( this._areaNode,\n\t\t\t str,\n\t\t\t pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t }\n\t this._abortPattern( this._popNode );\n\t\t//DEBUG this._logStatus( \"\" );\n \t }\n\t else if( key === 38 && this._hasInput === false) { // up\n\t\tthis._state = \"SELECT\";\n \t\tevent.preventDefault();\n \t\tthis._previous( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n \t\t//event.stopPropagation();\n \t }\n \t else if( key === 40 && this._hasInput === false) { // down\n\t\tthis._state = \"SELECT\";\n \t\tevent.preventDefault();\n \t\tthis._next( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n \t\t//event.stopPropagation();\n \t }\n \t else if( pattern ) { // pattern changed by keypressed\n\t\tthis._idxChoice = -1;\n \t\t// log\n\t\t//DEBUG this._logStatus( pattern.text );\n \t\t// Popup with choices if pattern at least minPatLength letters long\n\t\tif( pattern.text.length > (this._minPatLength-1) ) {\n\t\t // compute listOptions from templateFilter\n\t\t var allOptions;\n\t\t if( this._template )\n\t\t\tallOptions = this._widget.wiki.filterTiddlers( this._template.filter );\n\t\t else\n\t\t\tallOptions = this._widget.wiki.filterTiddlers(\"[all[tiddlers]]\");\n\t\t this._findBestMatches( allOptions, pattern.text );\n \t\t this._popNode.innerHTML = \"\";\n \t\t //console.log( \"BC \"+ this._pattern + \" => \" + choice );\n \t\t if (this._bestMatches.length > 0) {\n\t\t\tfor( var i=0; i<this._bestMatches.length; i++) {\n \t\t\t this._popNode.appendChild( \n\t\t\t\titemHTML(this._bestMatches[i].str,\n\t\t\t\t\t pattern.text));\n \t\t\t}\n\t\t\tthis._display( this._areaNode, this._popNode );\t\t\t\n \t\t }\n\t\t else { // no matches\n\t\t\tthis._state = \"PATTERN\";\n\t\t\tthis._undisplay( this._popNode );\n\t\t }\n\t\t}\n \t }\n\t else { // no pattern detected\n\t\tthis._abortPattern( this._popNode );\n\t }\n\t}\n\t// to ensure that one MUST add an input (through onInput())\n\tthis._hasInput = false;\n};\n// **************************************************************************\n// ******************************************************** private functions\n// **************************************************************************\n/**\n * Create popup element.\n */\nvar createPopup = function( widget, node ) {\n // Insert a special \"div\" element for poping up\n // Its 'display' property in 'style' control its visibility\n var popupNode = widget.document.createElement(\"div\");\n popupNode.setAttribute( \"style\", \"display:none; position: absolute;\");\n popupNode.className = \"tc-block-dropdown ect-block-dropdown\";\n // Insert the element into the DOM\n node.parentNode.insertBefore(popupNode,node.nextSibling);\n //CHECK the domNodes is a attribute of Widget [widget.js]\n //CHECK this.domNodes.push(popupNode);\n \n return popupNode;\n};\n/**\n * Extract Pattern from text at a given position.\n *\n * Between previous template.pat (or '[[') and pos\n * \n * If no pattern -> undefined\n */\nvar extractPattern = function( text, pos, template ) {\n // Detect previous and next ]]=>STOP or [[=>START\n var sPat = template.pat ? template.pat : '[[';\n var pos_prevOpen = text.lastIndexOf( sPat, pos );\n var ePat = template.end ? template.end : ']]';\n var pos_prevClosed = text.lastIndexOf( ePat, pos );\n var pos_nextClosed = text.indexOf( ePat, pos );\n //DEBUG console.log(\"__CALC st=\"+sPat+\" -> en=\"+ePat );\n //DEBUG console.log(\"__CALC po=\"+pos_prevOpen+\" pc=\"+pos_prevClosed+\" nc=\"+pos_nextClosed+\" pos=\"+pos);\n pos_nextClosed = (pos_nextClosed >= 0) ? pos_nextClosed : pos;\n \n if( (pos_prevOpen >= 0) && // must be opened\n\t((pos_prevOpen > pos_prevClosed ) || // not closed yet\n\t (pos_prevClosed === pos))) { // closed at cursor\n\t//DEBUG console.log(\" pat=\"+text.slice( pos_prevOpen+sPat.length, pos) );\n\treturn { text: text.slice( pos_prevOpen+sPat.length, pos ),\n\t\t start: pos_prevOpen,\n\t\t end: pos_nextClosed\n\t };\n }\n};\n/**\n * Controls how list items are generated.\n * Function that takes two parameters :\n * - text : suggestion text\n * - input : the user’s input\n * Returns : list item. \n * Generates list items with the user’s input highlighted via <mark>.\n */\nvar itemHTML = function (text, input ) {\n // text si input === ''\n // otherwise, build RegExp that is global (g) and case insensitive (i)\n // to replace with <mark>$&</mark> where \"$&\" is the matched pattern\n var html = input === '' ? text : text.replace(RegExp(regExpEscape(input.trim()), \"gi\"), \"<mark>$&</mark>\");\n return create(\"li\", {\n\tinnerHTML: html,\n\t\"patt-selected\": \"false\"\n });\n};\n/**\n * Insert text into a textarea node, \n * enclosing in 'template.start..template.end'\n *\n * - posBefore : where the 'template.pat+pattern' starts\n * - posAfter : where the cursor currently is\n */\nvar insertInto = function(node, text, posBefore, posAfter, template ) {\n //DEBUG console.log( \"__INSERT : \"+template.pattern+\":\"+template.filter+\":\"+template.mask+\":\"+template.field+\":\"+template.start+\":\"+template.end );\n var val = node.value;\n var sStart = template.start !== undefined ? template.start : '[[';\n var sEnd = template.end !== undefined ? template.end : ']]';\n var newVal = val.slice(0, posBefore) + sStart + text + sEnd + val.slice(posAfter);\n //console.log(\"__INSERT s=\"+sStart+\" e=\"+sEnd);\n //console.log (\"__INSERT pb=\"+posBefore+\" pa=\"+posAfter+\" txt=\"+text);\n //console.log( \"NEW VAL = \"+newVal );\n // WARN : Directly modifie domNode.value.\n // Not sure it does not short-circuit other update methods of the domNode....\n // i.e. could use widget.updateEditor(newVal) from edit-comptext widget.\n // but how to be sure that cursor is well positionned ?\n node.value = newVal;\n node.setSelectionRange(posBefore+text.length+sStart.length+sEnd.length, posBefore+text.length+sStart.length+sEnd.length );\n};\n/**\n * Add an '\\' in front of -\\^$*+?.()|[]{}\n */\nvar regExpEscape = function (s) {\n return s.replace(/[-\\\\^$*+?.()|[\\]{}]/g, \"\\\\$&\");\n};\n/**\n * Add an element in the DOM.\n */\nvar create = function(tag, o) {\n var element = document.createElement(tag);\n \n for (var i in o) {\n\tvar val = o[i];\n\t\n\tif (i === \"inside\") {\n\t $(val).appendChild(element);\n\t}\n\telse if (i === \"around\") {\n\t var ref = $(val);\n\t ref.parentNode.insertBefore(element, ref);\n\t element.appendChild(ref);\n\t}\n\telse if (i in element) {\n\t element[i] = val;\n\t}\n\telse {\n\t element.setAttribute(i, val);\n\t}\n }\n \n return element;\n};\n\n\nexports.Completion = Completion;\n\n})();\n\n \n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/completion.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/edit-comptext.css": {
"text": "\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/* The \\rules pragma at the top of the tiddler restricts the WikiText \n * to just allow macros and transclusion. This avoids mistakenly \n * triggering unwanted WikiText processing.\n * \n * MUST not save as text/css for macro to be processed\n*/\n\n.ect-block-dropdown li {\n display: block;\n padding: 4px 14px 4px 14px;\n text-decoration: none;\n color: <<colour tiddler-link-foreground>>; /*#5778d8;*/ \n background: transparent;\n}\n.ect-block-dropdown li[patt-selected=\"true\"] {\n color: <<colour tiddler-link-background>>; /*#ffffff; */\n background-color: <<colour tiddler-link-foreground>>; /*#5778d8; */\n}\n.ect-block-dropdown li[patt-selected=\"true\"] mark {\n background: hsl(86, 100%, 21%);\n color: inherit;\n}\n\n",
"type": "text/vnd.tiddlywiki",
"title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.css",
"tags": "[[$:/tags/Stylesheet]]"
},
"$:/plugins/snowgoon88/edit-comptext/readme": {
"title": "$:/plugins/snowgoon88/edit-comptext/readme",
"text": "!! What ?\nThis plugin adds ''completion'' when editing the body of a tiddler.\n\n* Enter completion-mode by typing `[[` or `CTRL+SPACE`\n* A list of tiddlers with a title that matches the pattern between `[[` and cursor appears\n* `UP/DOWN` keys can select a tiddler, `ENTER` to validate\n* If there is only one match, `ENTER` selects it.\n* `NEW` : you can specify you own trigger pattern and the list of possible completions. See [[$:/plugins/snowgoon88/edit-comptext/usage]] for more details.\n\n\n!! To try it or get the latest news\nSee [[http://snowgoon88.github.io/TW5-extendedit]]\n\n!! Install \n\nTo add the plugin to your own TiddlyWiki5, just drag this link to the browser window:\n\n[[$:/plugins/snowgoon88/edit-comptext]]\n\nSometime, a small configuration step is then needed\n\nin `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you must chose `comptext` instead of `text`.\n\nReload and « voilà »...\n\nThis plugin is quite mature now :o)\n\n!! Old version\n\n* A version compatible with 5.0.8 to 5.1.11 : [[http://snowgoon88.github.io/TW5-extendedit/index_5.1.11.html]]\n\n!! Source code\nOn github [[https://github.com/snowgoon88/TW5-extendedit]]\n\nGet in touch : snowgoon88(AT)gmail(DOT)com\n"
},
"$:/plugins/snowgoon88/edit-comptext/usage": {
"title": "$:/plugins/snowgoon88/edit-comptext/usage",
"text": "''Important'' : be sure that in `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you have chosen `comptext` instead of `text`.\n\nConfiguration of the edit-comptext plugin can be done through the tiddler [[$:/plugins/snowgoon88/edit-comptext/config]]. Use a JSON tiddler (do not forget to set the type to `application/json`. See some examples at [[$:/plugins/snowgoon88/edit-comptext/examples]]\n\nIn the `configuration` object you can set :\n\n* `caseSensitive`: `true`/`false` (is search case sensitive ?)\n* `maxMatch` : an `integer` (max number of match displayed)\n* `minPatLength` : an `integer` (minimal length of a pattern to trigger completion search)\n* `triggerKeyCombination ` : a `string` representing the key combination that triggers the autocompletion popup. To use modifier keys in your combination, use following conversions : `ctrl` -> `^`, `alt` -> `!`, `shift` -> `+`. Note: ` ` (literally a whitespace) represents the `space` key.\n\nIn the `template` array you can specify the various completion templates that will be used. Every template can have the following members.\n\n* `pattern` : `string` (pattern that triggers a completion, default \"[[\" )\n* `title` or `body`: `string` (the filter operators that gives the list of valid completions, default \"[all[tiddlers]!is[system]]\"). If you specify `body`, then the body of the tiddler will be inserted on selection.\n* `start` : `string` (when completion is chosen, start is put before the completion, default \"[[\")\n* `end` : `string` (when completion is chosen, end is put after the completion, default \"]]\")\n\n!! Current body of Config Tiddler\n\n{{$:/plugins/snowgoon88/edit-comptext/config}}\n\n"
}
}
}
{
"configuration": {
"caseSensitive" : false,
"maxMatch" : 8,
"minPatLength" : 2,
"triggerKeyCombination" : "^ "
},
"template": [{
"pattern": "[[",
"filter": "[all[tiddlers]!is[system]]",
"start": "[[",
"end": "]]"
}
]
}
LeDoux,McCloud,McDonald,TiddlyWiki,TiddlyWiki5,CamelCase,DuBay,McGraw,McCullough,LeGrange,NaCl,MeOH,EtOH,PiB,TiddlyTools,ResetFind,WikiText,WinBuilder,WinPE,ProgramData,TiddlyFox,GuillermoMartin,AndrewFraser,RochesterMNwalkers,DEdwardsCalgary,WalkaboutMM,HarveyG,McCoy,GeForce,SideBar,AirBnB,PayPal,LeBron,JavaScript,ExpressJet,CutePDF,McClouds,McElroy,McGovern,TableHelper,ShadowTiddler,WikiWords
$:/core/ui/TiddlerInfo/Tools
$:/core/ui/ControlPanel/Palette
$:/core/ui/ControlPanel/Basics
$:/core/ui/ControlPanel/Plugins/Add/Themes
$:/core/ui/TiddlerInfo/Tools
$:/core/ui/ControlPanel/Plugins/Installed/Plugins
$:/core/ui/ControlPanel/TiddlerFields
$:/core/ui/DefaultSearchResultList
$:/core/ui/ControlPanel/Info
$:/core/ui/ControlPanel/Saving/General
$:/core/ui/MoreSideBar/Missing
$:/core/ui/ControlPanel/Toolbars/PageControls
{
"tiddlers": {
"$:/info/browser": {
"title": "$:/info/browser",
"text": "yes"
},
"$:/info/node": {
"title": "$:/info/node",
"text": "no"
},
"$:/info/url/full": {
"title": "$:/info/url/full",
"text": "file:///C:/Users/David/Desktop/random_projects/johnny-godoy.github.io/index.html"
},
"$:/info/url/host": {
"title": "$:/info/url/host",
"text": ""
},
"$:/info/url/hostname": {
"title": "$:/info/url/hostname",
"text": ""
},
"$:/info/url/protocol": {
"title": "$:/info/url/protocol",
"text": "file:"
},
"$:/info/url/port": {
"title": "$:/info/url/port",
"text": ""
},
"$:/info/url/pathname": {
"title": "$:/info/url/pathname",
"text": "/C:/Users/David/Desktop/random_projects/johnny-godoy.github.io/index.html"
},
"$:/info/url/search": {
"title": "$:/info/url/search",
"text": ""
},
"$:/info/url/origin": {
"title": "$:/info/url/origin",
"text": "null"
},
"$:/info/browser/screen/width": {
"title": "$:/info/browser/screen/width",
"text": "1366"
},
"$:/info/browser/screen/height": {
"title": "$:/info/browser/screen/height",
"text": "768"
},
"$:/info/browser/language": {
"title": "$:/info/browser/language",
"text": "en-US"
}
}
}
Draft of 'Sobre este apunte'
{
"tiddlers": {
"$:/themes/tiddlywiki/snowwhite/base": {
"title": "$:/themes/tiddlywiki/snowwhite/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
}
}
}
{
"tiddlers": {
"$:/themes/tiddlywiki/vanilla/themetweaks": {
"title": "$:/themes/tiddlywiki/vanilla/themetweaks",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}",
"text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
},
"$:/themes/tiddlywiki/vanilla/base": {
"title": "$:/themes/tiddlywiki/vanilla/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\n<<if-background-attachment \"\"\"\n\nbody.tc-body {\n background-color: transparent;\n}\n\n\"\"\">>\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tpadding: 14px;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote > div {\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n border-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n left: -50px;\n top: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n right: -80px;\n bottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\nbutton, textarea, input, select {\n\toutline-color: <<colour primary>>;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\ninput[type=\"checkbox\"] {\n vertical-align: middle;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\t/* next 2 elements needed, since normalize 8.0.1 */\n\tborder-collapse: collapse;\n\tborder-spacing: 0;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: 500;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n.tc-sidebar-tab-open .tc-droppable-placeholder, .tc-tagged-draggable-list .tc-droppable-placeholder,\n.tc-links-draggable-list .tc-droppable-placeholder {\n\tline-height: 2em;\n\theight: 2em;\n}\n\n.tc-sidebar-tab-open-item {\n\tposition: relative;\n}\n\n.tc-sidebar-tab-open .tc-btn-invisible.tc-btn-mini svg {\n\tfont-size: 0.7em;\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n \tcursor: pointer;\n\tcolor: <<colour foreground>>;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n/* used for documentation \"fake\" buttons */\n.tc-btn-standard {\n\tline-height: 1.8;\n\tcolor: #667;\n\tbackground-color: #e0e0e0;\n\tborder: 1px solid #888;\n\tpadding: 2px 1px 2px 1px;\n\tmargin: 1px 4px 1px 4px;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tborder-radius: 2px;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-primary-btn {\n \tbackground: <<colour primary>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 400;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-sidebar-scrollable .tc-tag-label {\n\ttext-shadow: none;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tmargin-right: 3px; \n\tmargin-bottom: 1px;\n\tvertical-align: text-bottom;\n}\n\n.tc-edit-tags button.tc-remove-tag-button svg {\n\tfont-size: 0.7em;\n\tvertical-align: middle;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button {\n\toutline: none;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls .tc-drop-down {\n font-size: 1rem;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.2em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n\tmargin-right: .1em;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-subtitle .tc-tiddlylink {\n\tmargin-right: .3em;\n}\n\n.tc-tiddler-missing .tc-title {\n font-style: italic;\n font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n height: 1.2em;\n width: 1.2em;\n margin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tbackground-color: <<colour tiddler-editor-background>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tcolor: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-type-selector .tc-edit-typeeditor {\n\twidth: 20%;\n}\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 49%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-preview .tc-edit-texteditor {\n\twidth: 49%;\n}\n\n.tc-tiddler-frame .tc-tiddler-preview canvas.tc-edit-bitmapeditor {\n\tmax-width: 49%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name {\n\tdisplay: inline-block;\n\twidth: 15%;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n\twidth: 40%;\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-viewswitcher .tc-image-button {\n\tmargin-right: .3em;\n}\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down .tc-drop-down-info {\n\tpadding-left: 14px;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n width: auto;\n margin-bottom: 0px;\n border-bottom-left-radius: 0;\n border-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n\toverflow: auto;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n display: block;\n width: 100%;\n text-align: left;\t\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n flex: 1 0;\n background: <<colour tiddler-editor-background>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n white-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n background: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n padding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n flex: 3 1;\n border-left: 0.5em solid <<colour muted-foreground>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 28px;\n\tleft: 0;\n\tright: 0;\n\tmax-width: 50%;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 14px;\n\tpadding: 7px;\n\tborder: 1px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 7px;\n\tright: 7px;\n line-height: 0;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n font-size: 0.8em;\n margin-bottom: 0.5em;\n}\n\n.tc-alert-body > p {\n\tmargin: 0;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Floating drafts list\n*/\n\n.tc-drafts-list {\n\tz-index: 2000;\n\tposition: fixed;\n\tfont-size: 0.8em;\n\tleft: 0;\n\tbottom: 0;\n}\n\n.tc-drafts-list a {\n\tmargin: 0 0.5em;\n\tpadding: 4px 4px;\n\tborder-top-left-radius: 4px;\n\tborder-top-right-radius: 4px;\n\tborder: 1px solid <<colour background>>;\n\tborder-bottom-none;\n\tbackground: <<colour dirty-indicator>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a:hover {\n\ttext-decoration: none;\n\tbackground: <<colour foreground>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: flex;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tfill: <<colour muted-foreground>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n align-items: center;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info {\n margin: 0.5em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugin-indicator {\n\tmargin: -16px 1em 0 2em;\n}\n\n.tc-plugin-info-sub-plugin-indicator button {\n\tcolor: <<colour background>>;\n\tbackground: <<colour foreground>>;\n\tborder-radius: 8px;\n padding: 2px 7px;\n font-size: 0.75em;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info-dropdown {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info-chunk {\n margin: 2px;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description {\n\tflex-grow: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-buttons {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tflex-grow: 0;\n\tflex-shrink: 0;\n text-align: right;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h1 {\n\tfont-size: 1em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h2 {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description div {\n\tfont-size: 0.7em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle img, .tc-plugin-info-chunk.tc-plugin-info-toggle svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon img, .tc-plugin-info-chunk.tc-plugin-info-icon svg {\n\twidth: 2em;\n\theight: 2em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 0 1em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugins {\n\tpadding: 0.5em;\n margin: 0 1em 1em 1em;\n\tbackground: <<colour notification-background>>;\n}\n\n.tc-install-plugin {\n\tfont-weight: bold;\n\tbackground: green;\n\tcolor: white;\n\tfill: white;\n\tborder-radius: 4px;\n\tpadding: 3px;\n}\n\n.tc-install-plugin.tc-reinstall-downgrade {\n\tbackground: red;\n}\n\n.tc-install-plugin.tc-reinstall {\n\tbackground: blue;\n}\n\n.tc-install-plugin.tc-reinstall-upgrade {\n\tbackground: orange;\n}\n\n.tc-check-list {\n\tline-height: 2em;\n}\n\n.tc-check-list .tc-image-button {\n\theight: 1.5em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n vertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder-right: 1px solid <<colour table-header-background>>;\n\tborder-left: 1px solid <<colour table-header-background>>;\n}\n\n\n.tc-chooser-item {\n\tborder-bottom: 1px solid <<colour table-header-background>>;\n\tborder-top: 1px solid <<colour table-header-background>>;\n\tpadding: 2px 4px 2px 14px;\n}\n\n.tc-drop-down .tc-chooser-item {\n\tpadding: 2px;\n}\n\n.tc-chosen,\n.tc-chooser-item:hover {\n\tbackground-color: <<colour table-header-background>>;\n\tborder-color: <<colour table-footer-background>>;\n}\n\n.tc-chosen .tc-tiddlylink {\n\tcursor:default;\n}\n\n.tc-chooser-item .tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tbackground-color: transparent;\n}\n\n.tc-chooser-item:hover .tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-chosen .tc-tiddlylink,\n.tc-drop-down .tc-chooser-item .tc-tiddlylink:hover {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-chosen > .tc-tiddlylink:before {\n\tmargin-left: -10px;\n\tposition: relative;\n\tcontent: \"» \";\n}\n\n.tc-chooser-item svg,\n.tc-chooser-item img{\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: middle;\n}\n\n.tc-language-chooser .tc-image-button img {\n\twidth: 2em;\n\tvertical-align: -0.15em;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\ninput.tc-palette-manager-colour-input {\n\twidth: 100%;\n\tpadding: 0;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Diffs\n*/\n\n.tc-diff-equal {\n\tbackground-color: <<colour diff-equal-background>>;\n\tcolor: <<colour diff-equal-foreground>>;\n}\n\n.tc-diff-insert {\n\tbackground-color: <<colour diff-insert-background>>;\n\tcolor: <<colour diff-insert-foreground>>;\n}\n\n.tc-diff-delete {\n\tbackground-color: <<colour diff-delete-background>>;\n\tcolor: <<colour diff-delete-foreground>>;\n}\n\n.tc-diff-invisible {\n\tbackground-color: <<colour diff-invisible-background>>;\n\tcolor: <<colour diff-invisible-foreground>>;\n}\n\n.tc-diff-tiddlers th {\n\ttext-align: right;\n\tbackground: <<colour background>>;\n\tfont-weight: normal;\n\tfont-style: italic;\n}\n\n.tc-diff-tiddlers pre {\n margin: 0;\n padding: 0;\n border: none;\n background: none;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n \tpadding-left: 14px;\n}\n\n.tc-tree ol {\n \tlist-style-type: none;\n \tpadding-left: 0;\n \tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n \tpadding-left: 1em; \n}\n\n.tc-tree button { \n \tcolor: #acacac;\n}\n\n.tc-tree svg {\n \tfill: #acacac;\n}\n\n.tc-tree span svg {\n \twidth: 1em;\n \theight: 1em;\n \tvertical-align: baseline;\n}\n\n.tc-tree li span {\n \tcolor: lightgray;\n}\n\nselect {\n color: <<colour select-tag-foreground>>;\n background: <<colour select-tag-background>>;\n}\n\n/*\n** Utility classes for SVG icons\n*/\n\n.tc-fill-background {\n\tfill: <<colour background>>;\n}"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
"text": "15px"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
"text": "22px"
},
"$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
"text": "14px"
},
"$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
"text": "20px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storytop": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyright": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
"text": "686px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
"text": "960px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
"text": "350px"
},
"$:/themes/tiddlywiki/vanilla/options/stickytitles": {
"title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
"text": "no"
},
"$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
"title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
"text": "fixed-fluid"
},
"$:/themes/tiddlywiki/vanilla/options/codewrapping": {
"title": "$:/themes/tiddlywiki/vanilla/options/codewrapping",
"text": "pre-wrap"
},
"$:/themes/tiddlywiki/vanilla/reset": {
"title": "$:/themes/tiddlywiki/vanilla/reset",
"type": "text/plain",
"text": "/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */\n\n/* Document\n ========================================================================== */\n\n/**\n * 1. Correct the line height in all browsers.\n * 2. Prevent adjustments of font size after orientation changes in iOS.\n */\n\nhtml {\n line-height: 1.15; /* 1 */\n -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/* Sections\n ========================================================================== */\n\n/**\n * Remove the margin in all browsers.\n */\n\nbody {\n margin: 0;\n}\n\n/**\n * Render the `main` element consistently in IE.\n */\n\nmain {\n display: block;\n}\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n font-size: 2em;\n margin: 0.67em 0;\n}\n\n/* Grouping content\n ========================================================================== */\n\n/**\n * 1. Add the correct box sizing in Firefox.\n * 2. Show the overflow in Edge and IE.\n */\n\nhr {\n box-sizing: content-box; /* 1 */\n height: 0; /* 1 */\n overflow: visible; /* 2 */\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\npre {\n font-family: monospace, monospace; /* 1 */\n font-size: 1em; /* 2 */\n}\n\n/* Text-level semantics\n ========================================================================== */\n\n/**\n * Remove the gray background on active links in IE 10.\n */\n\na {\n background-color: transparent;\n}\n\n/**\n * 1. Remove the bottom border in Chrome 57-\n * 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n */\n\nabbr[title] {\n border-bottom: none; /* 1 */\n text-decoration: underline; /* 2 */\n text-decoration: underline dotted; /* 2 */\n}\n\n/**\n * Add the correct font weight in Chrome, Edge, and Safari.\n */\n\nb,\nstrong {\n font-weight: bolder;\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\ncode,\nkbd,\nsamp {\n font-family: monospace, monospace; /* 1 */\n font-size: 1em; /* 2 */\n}\n\n/**\n * Add the correct font size in all browsers.\n */\n\nsmall {\n font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` elements from affecting the line height in\n * all browsers.\n */\n\nsub,\nsup {\n font-size: 75%;\n line-height: 0;\n position: relative;\n vertical-align: baseline;\n}\n\nsub {\n bottom: -0.25em;\n}\n\nsup {\n top: -0.5em;\n}\n\n/* Embedded content\n ========================================================================== */\n\n/**\n * Remove the border on images inside links in IE 10.\n */\n\nimg {\n border-style: none;\n}\n\n/* Forms\n ========================================================================== */\n\n/**\n * 1. Change the font styles in all browsers.\n * 2. Remove the margin in Firefox and Safari.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n font-family: inherit; /* 1 */\n font-size: 100%; /* 1 */\n line-height: 1.15; /* 1 */\n margin: 0; /* 2 */\n}\n\n/**\n * Show the overflow in IE.\n * 1. Show the overflow in Edge.\n */\n\nbutton,\ninput { /* 1 */\n overflow: visible;\n}\n\n/**\n * Remove the inheritance of text transform in Edge, Firefox, and IE.\n * 1. Remove the inheritance of text transform in Firefox.\n */\n\nbutton,\nselect { /* 1 */\n text-transform: none;\n}\n\n/**\n * Correct the inability to style clickable types in iOS and Safari.\n */\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n -webkit-appearance: button;\n}\n\n/**\n * Remove the inner border and padding in Firefox.\n */\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n border-style: none;\n padding: 0;\n}\n\n/**\n * Restore the focus styles unset by the previous rule.\n */\n\nbutton:-moz-focusring,\n[type=\"button\"]:-moz-focusring,\n[type=\"reset\"]:-moz-focusring,\n[type=\"submit\"]:-moz-focusring {\n outline: 1px dotted ButtonText;\n}\n\n/**\n * Correct the padding in Firefox.\n */\n\nfieldset {\n padding: 0.35em 0.75em 0.625em;\n}\n\n/**\n * 1. Correct the text wrapping in Edge and IE.\n * 2. Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n * `fieldset` elements in all browsers.\n */\n\nlegend {\n box-sizing: border-box; /* 1 */\n color: inherit; /* 2 */\n display: table; /* 1 */\n max-width: 100%; /* 1 */\n padding: 0; /* 3 */\n white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n box-sizing: border-box; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n -webkit-appearance: textfield; /* 1 */\n outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n -webkit-appearance: button; /* 1 */\n font: inherit; /* 2 */\n}\n\n/* Interactive\n ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n display: list-item;\n}\n\n/* Misc\n ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n display: none;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/settings/fontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/fontfamily",
"text": "-apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\""
},
"$:/themes/tiddlywiki/vanilla/settings/codefontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/codefontfamily",
"text": "\"SFMono-Regular\",Consolas,\"Liberation Mono\",Menlo,Courier,monospace"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment",
"text": "fixed"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize",
"text": "auto"
},
"$:/themes/tiddlywiki/vanilla/sticky": {
"title": "$:/themes/tiddlywiki/vanilla/sticky",
"text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n\n``\n<$list filter=\"[range[100]]\">\n`.tc-story-river .tc-tiddler-frame:nth-child(100n+`<$text text=<<currentTiddler>>/>`) {\nz-index: `<$text text={{{ [[200]subtract<currentTiddler>] }}}/>`;\n}\n`\n</$list>\n</$reveal>\n"
}
}
}
Dado una medida de tendencia central $$m$$, su AAD es:
\[
AAD_m(x) := \frac{1}{n}\sum_{i=1}^n|x_i-m(x)|
\]
Sea $$Y$$ un ev topológico. $$E\subseteq Y$$ se dirá acotado si para toda vecindad del 0 $$V$$ existe un $$s\in\R$$ tal que $$E\subseteq sV$$.
En el caso particular de un evn, como $$\R^n$$, se tiene que existe $$k\in\R$$ tal que $$S\subseteq \{x\in Y: \Vert x\Vert \leq k\}$$
Tipo de acto lingûístico que describen el mundo observado - se les puede siempre asignar un, y solamente un valor de verdad.
Se refiere a combinar 2 o más [[Atributos]] en un único atributo, con el propósito de realizar una [[Reducción de dimensionalidad]], tener datos más estables y posiblemente menos sesgados.
Un álgebra $$(A, +, \cdot)$$ sobre un cuerpo $$\mathbb{K}$$ es un anillo que es también espacio vectorial sobre $$\mathbb{K}$$ donde las operaciones son compatibles, es decir:
\[
\forall \lambda\in \mathbb{K}, x, y\in A:\, (\lambda x)\cdot y = \lambda(x\cdot y) = x\cdot(\lambda y)
\]
Un [[Álgebra]] $$A\subseteq C(K, \R)$$ se dice separante si para cada par $$x, y\in K, x\neq y$$ existe $$f\in A$$ tal que $$f(x)\neq f(y)$$.
Se dice de un [[Álgebra separante]] $$A$$ tal que para cualquier $$x\in K$$ existe $$g\in A$$ que no se anula en $$x$$.
Estos son los teoremas utilizados en el notebook:
{{{[tag[Algoritmo]]}}}
Sea W la cantidad de [[Itemset]] basado en el [[Principio a priori]]. Para encontrar los [[Itemset frecuente]]s:
```
def mezcla(k_itemsets):
for i1, i2 in product(k_itemsets, repeat=2):
a, b = sorted(i1[-1], i2[-1])
if i1[:-1] == i2[:-1]:
yield i1 + [a, b]
```
```
def poda(candidato, frecs):
for i in range(len(candidato)):
for subset in combinations(candidato, i):
if subset not in frecs[i]:
return False
return True
```
```
def apriori(dataset, n, items, minsup):
frecs[1] = [item for item in items if support(item)>minsup]
for k in range(len(items)):
for candidato in mezcla(frecs[k]):
if not poda(candidato, frecs) and support(candidato)>minsup:
frecs[k].append(candidato)
return frecs
```
Notar que la función [[Support]] utilizaría un hash tree para aprovechar el orden del problema.
```
def costo(theta, phi_x, t):
return theta.T@phi_x*t
```
```
def mal_clasificados(theta, D):
return [(x, t) for x, t in D if costo(theta, x, t) <= 0]
```
```
def perceptron(datos, clases, theta, beta):
theta = theta_0
D = zip(phi(datos), clases)
while mal_clasificados(theta, D) is not []:
x, t = L[0]
theta += beta*phi_x*t
```
Un algoritmo exacto para un [[Problema]] $$\Pel$$ es un método que recibe una instancia $$I\in\Pel$$ y entrega una de las siguientes salidas:
* Solución óptima OPT$$\in\text{Fact(I)}$$ tal que $$F$$(OPT) $$= \max_{x\in\text{Fact}(I)} F(x)$$
* O bien, verifica que ningún elemento factible alcanza el óptimo
Este segundo caso puede ocurrir por factibilidad, no acotamiento del problema, o que el máximo no se pueda alcanzar.
Un algoritmo debe terminar en tiempo finito. En algunos casos NO se conocen algoritmos para un
problema.
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
Las fuentes del material presente son las cátedras de la profesora Salome Martinez, las clases auxiliares de Ian Letter y Vicente Salinas; además de ciertos complementos del libro: Functional Analysis, Sobolev Spaces and Partial Differential Equations de Haïm Brezis
<<toc-selective-expandable 'Análisis Funcional' sort[title]>>
Las fuentes del material presente son las cátedras del profesor Felipe Tobar, junto su apunte y slides asociados al curso.
<<toc-selective-expandable 'Aprendizaje de Máquinas' sort[title]>>
Datos de la forma $$\{x_i\}_{i=1}^n$$, el objetivo es encontrar patrones en común entre ellos. Para esto se usan [[Métodos descriptivos]]
Dado datos de la forma $$\{(x_i, y_i)\}_{i=1}^n$$, se busca encontrar $$f$$ tal que $$x\mapsto y \approx f(x)$$. Para esto se usan [[Métodos predictivos]]
\[
n! \sim \sqrt{2\pi n}\left(\frac{n}{e}\right)^n
\]
Sea $$(X, \tau)$$ un et compacto, $$(Y, d)$$ espacio métrico completo.
Un conjunto $$F \subseteq C(X, Y)$$ es [[Relativamente compacto]] ssi:
# Es [[Equicontinuo]]
# Para cada $$x\in X, \{f(x): f\in F\}\subseteq Y$$ es relativamente compacto.
Propiedad que puede variar de un objeto a otro.
Se distinguen en tipos:
*Cualitativo:
** Nominal: Categorias sin orden ni dirección (IDs, color de ojos).
** Ordinal: Categorías ordenadas (rankings, notas). Existe estructura de orden.
*Cuantitativo:
**Intervalo: No hay 0 real (fechas, temperatura en Cº). Existe estructura aditiva.
**Razón: Con 0 real (temperatura K, largo). Existe estructura multiplicativa.
Los atributos cuantitativo requieren una [[Métrica]]
Grupo específico de gente a la que vas a dirigir. Cada presentación es única, y cada audiencia igual.
[[21/03/23]]
!!P1: [[Lema de Farkas (en evn)]]
!!P2:
Sea $$X$$ un evn, $$F$$ un sev propio de $$X$$ tal que para todo $$f\in X^*$$ se tiene que $$f|_F =0\implies f=0$$. Demostrar que $$F$$ es denso.
''Solución'' Como está difícil de utilizar la hipótesis, es buen caso para una demostración por contradicción. Suponer que $$\overline{F}\neq X$$. Entonces, sea $$x\in X\setminus \overline{F}$$, de modo que se separa el compacto convexo $$\{x\}$$ de $$\overline{F}.$$ Como $$F$$ es un ev, es un convexo, por lo cual $$\overline{F}$$ es convexo y cerrado, permitiendo usar [[Hahn Banach en Subespacios]], por lo cual se tiene $$l\in X^*$$ con $$l|_F=0$$, por lo cual la hipótesis garantiza que $$l=0$$. Sin embargo, también se tiene que $$l(x)\neq 0$$, lo cual es una contradicción, por lo cual $$F$$ debe ser denso.
''P3:'' Sea $$M$$ sev cerrado de un evn $$X$$. Demostrar que para todo $$x\in X\setminus M$$ existe $$x^*\in X^*$$ que verifica:
# $$\vert x^*\vert = 1$$
# $$x^*|_M = 0$$
# $$\langle x^*, x\rangle = d(x, M)$$
''Solución'' El instinto inmediato es separar $$\{x\}$$ de $$M$$, pues [[Hahn Banach en Subespacios]] permite sin mucha dificultad las primeras dos condiciones, pero la tercera no sale. Entonces, se intentará definir una buena función en un espacio más pequeño, para luego extenderla.
Entonces, considerar $$Y = M\oplus \langle x\rangle.$$ Definimos $$l:Y\to\R$$ como $$ m + \lambda x\mapsto \lambda d(x, m).$$ [[Ejercicio Pendiente]]: Verificar que $$l$$ es lineal y continua.
[[21/03/19]]
[[Pendiente]]
!Resumen:
* [[Lema de Baire]]
* [[Principio de la cota uniforme]]
* [[Teorema del grafo cerrado]]
!''P1)''
Demostrar que las siguientes son equivalentes en un espacio $$X$$ no necesariamente completo.
!!Solución
# $$\forall (U_n)\subseteq X$$ abiertos y densos, $$\bigcap_{n} U_n$$ es denso.
# Se cumple una propiedad tipo [[Lema de Baire]]
!!!($$1\implies 2$$)
Tomando los cerrados $$ E_k^C = U_k$$ se tiene por densidad de $$U_k$$:
\[
X = \overline{U_k} = \overline{E_k^C} = (int(E_k))^C\implies int(E_k) = \varnothing
\]
!!!($$2\implies 1$$)
Se puede usar la propiedad 2 para notar que:
\[
\bigcap_k U_k = \bigcap_k E_k^C = \left(\bigcup_k E_k\right)^C = \varnothing^C = X
\]
!''P3)''
Considerar $$\R[X]$$ evn con la norma $$\Vert p \Vert = \max |a_k|$$. Demostrar con [[Principio de la cota uniforme]] que no es Banach, con el siguiente esquema:
!!1.
$$\forall n\in N$$ se define $$T_n: \R[X]\to\R$$ por $$\langle T_n, p(x)\rangle := \sum_{k= 0}^n a_k$$. Demostrar que $$T_n\in\Lel\Cel$$ y que $$\{T_n\}$$ es una familia de operadores puntualmente acotados.
!!Solución
\[
\begin{aligned}
\Vert T_n p(x)\Vert &= \left\vert\sum_k a_k\right\vert\\
&\leq \sum_{k=0}^n |a_k| \leq (n+1)\Vert p \Vert
\end{aligned}
\]
!!2.
Suponiendo que este espacio es Banach, considerar el polinomio $$p(x) = 1+x+x^2+\ldots+x^n$$.
!!Solución:
\[
\Vert T_n p(x)\Vert \leq n +1
\]
Como $$\Vert p\Vert =1$$
\[
\Vert T_n \Vert \geq n +1
\]
Entonces:
\[
\sup_{n\in\N}\Vert T_n \Vert \geq \sup_{n\in\N} n +1 = \infty
\]
Que contradice el principio de la cota uniforme.
!''P4)''
Sea $$E$$ un Banach $$(\epsilon_n)\subseteq \R_+$$ tales que $$\lim\epsilon_n = 0$$. Sea además $$(f_n)\subseteq E^*$$ una familia de funciones que satisface:
\[
\exists r>0\forall x\in E \text{ con } \Vert x \Vert < r, \exists C(x)\in \R_+ \text{ tal que } \langle f_n, x\rangle \leq \epsilon_n\Vert f_n \Vert + C(X)\forall n\in\N
\]
Demostrar que $$\{f_n\}$$ es un conjunto acotado.
!!Solución
\[
\begin{aligned}
\frac{\langle f_n, x\rangle}{1+\epsilon_n\Vert f_n \Vert} &\leq \frac{\epsilon_n\Vert f_n \Vert + C(X)}{1+\epsilon_n\Vert f_n \Vert}\\
\langle g_n, x\rangle &\leq 1 + \frac{C(X)}{1+\epsilon_n\Vert f_n \Vert}\\
&\leq 1 + C(X) = M(X)
\end{aligned}
\]
Se acotó sobre una bola, por lo que basta escalarlo para usar cota uniforme sobre $$g_n$$, obteniendo que $$\Vert g_n \Vert \leq M$$, es decir:
\[
\begin{aligned}
\frac{\langle f_n, x\rangle}{1+\epsilon_n\Vert f_n \Vert} &\leq M\\
\Vert f_n \Vert &\leq M(1+\epsilon_n\Vert f_n \Vert)\\
\Vert f_n \Vert (1-\epsilon_n M) &\leq M
\end{aligned}
\]
Entonces, existe un $$n_0$$ suficientemente grande tal que $$\forall n>n_0$$:
\[\Vert f_n \Vert \leq M\]
Además, uno tiene:
\[
\alpha = \max_{1\leq n\leq n_0} \{\Vert f_n \Vert\}
\]
Por lo cual $$\forall n\in\N$$:
\[
\Vert f_n \Vert \leq \max\{\alpha, M\}
\]
Demostrando lo pedido.
!''P5)''
Sea $$E$$ un espacio de Banach y $$T\in\Lel(E, E^*) $$ que cumple:
\[
\langle Tx, x\rangle \geq 0 \forall x\in E
\]
Mostrar que es continuo.
!!Solución
Sea $$x_n\to x, y := \lim_{n} Tx_n$$. Luego:
\[
\begin{aligned}
0\leq \langle Tx_n, x_n\rangle\\
0\leq \langle y, x\rangle\\
0\leq \langle y - Tw, x - w\rangle\\
\end{aligned}
\]
Tomando $$w=x+tz$$:
\[
\begin{aligned}
0\leq \langle y - Tx - tTz, tz\rangle\\
0\leq -t^2\langle Tz, z\rangle + t\langle y - Tx, z\rangle \\
\end{aligned}
\]
Notando que esta es una ecuación cuadrática en $$t$$, esto solamente puede ocurrir si $$\Delta \leq 0$$, es decir:
\[
\begin{aligned}
0&\geq \langle y - Tx, z\rangle^2\\
0 &= \langle y - Tx, z\rangle:\forall z\in E\\
\implies y &= Tx
\end{aligned}
\]
Es decir, $$T$$ es continua.
[[21/03/26]]
''Resumen'': Se recuerda lo siguiente:
* [[Cadena de Markov]]
* [[Distribución inicial]]
* [[Matriz de transición]]
* [[Caracterización de cadenas de Markov por transición y distribución]]
* [[Construcción de una cadena de Markov]]
''P1'' Para las siguientes situaciones modele la problemática como una cadena de Markov y explicite sus conjunto de estados, su matriz de transición y su distribución inicial:
* [[Ejercicio Resuelto]] Un jugador apuesta a que una moneda equilibrada sale cara. Si acierta gana una unidad de dinero, en caso contrario pierde una unidad de dinero. Teniendo $$k$$ unidades de dinero al inicio del juego, el jugador sigue jugando hasta perder todo su dinero o alcanzar $$N$$ unidades de dinero.
''Solución''
Sea $$X_n$$ las unidades de dinero del apostador después de $$n$$ apuestas, con un espacio de estados $$[N]$$ (pues el juego terminará antes de alcanzar otras unidades). Como empieza con $$k$$ unidades, se tiene que $$\mu_i \sim \delta_k(i)$$, y la matriz de transición está dada por:
\[
p_{ij} = \begin{cases}
0.5 &\text{ si } j=i\pm 1\\
0 &\sim\\
\end{cases}
\]
*En esta versión pequeña del juego “Escaleras y serpientes” se juega lanzando una moneda: si sale cara el jugador avanza un espacio, sello avanza dos. Si cae en la parte baja de una escalera, sube por ella hasta la casilla que está encima, en cambio si cae sobre la cabeza de una serpiente, retrocede hasta su cola. Un jugador practica en solitario este juego para ver como progresa en el tablero.
{{snakes_and_ladders.png}}
''Solución''
Sea $$X_n$$ la casilla del tablero en la que está el jugador en la jugada $$n$$, con espacio de estados $$I = \{1, 4, 5, 7, 9\}$$, distribución iniial $$\mu_i=\delta_1(i), X_0\sim\mu$$. La matriz de transición es como tal:
\[
P = \begin{pmatrix}
0 & 0 & .5&.5 & 0\\
.5 & 0 & .5&0&0\\
.5 & 0 & 0&.5&0\\
0& .5 & 0&0&.5\\
0& 0 & 0&0&1\\
\end{pmatrix}
\]
Que es claramente estocástica.
* Modelar la [[Cadena de Ehrenfest]]
''Solución''
Sea $$X_n$$ la cantidad de partículas a la izquierda en el tiempo $$n$$, con espacio de estados $$I = [N]$$, distribución inicial dada por $$\mu_i = \delta_0(i)$$. Para entender mejor la matriz de transición, caben destacar casos fáciles: $$p_{0,1}=1$$, y que $$p_{N, N-1}=1$$. En un caso intermedio, se tiene que al lado izquierdo hay $$i$$ partículas, entonces hay $$N-i$$ a la derecha, por lo cual se tiene $$p_{i, i-1}=\frac{i}{N}$$, y complementariamente, $$p_{i, i+1}=1-p_{i, i-1}$$, por lo cual se tiene:
\[
p_{ij} = \begin{cases}
\frac{i}{N} &\text{ si } j=i-1\\
\frac{N-i}{N} &\text{ si } j=i+1\\
0 &\sim\\
\end{cases}
\]
* [[Ejercicio Resuelto]]: Suponga que un virus puede existir en $$N$$ cepas diferentes y en cada generacion puede mantenerse en el mismo o saltar con probabilidad $$\alpha$$ a otro estado que es elegido al azar.
''Solución''
Sin perder generalidad, se asume que el virus empieza en la cepa $$0$$, por lo que la distribución inicial está dada por $$\mu_i = \delta_0(i)$$. La matriz de transición está dada por:
\[
p_{ij} = \begin{cases}
\alpha &\text{ si } j\neq i\\
1-(N-1)\alpha&\sim
\end{cases}
\]
''Solución''
''P2'' Simular cadenas de Markov Homogeneas: Considere $$(X_n)$$ una $$CM(μ, P)$$ definida sobre $$I = \N$$ y considere
$$\xi_0, (U_n)$$, como en el ultimo teorema del resumen. Considere la función:
\[
f(u, x) = \inf\left\{y\in I: \sum_{z=1}^yp_{xz}\geq u\right\}
\]
Muestre que esta función satisface que $$\forall x,y\geq 0: p_{xy}=\P(f(U_0, x)=y)$$
''Demostración''
Sea $$X_n$$ la cepa del virus en la generación $$n$$, con un espacio de estados $$I = [N]$$
Sea $$W_x = f(u, x); u\simU[0, 1]$$. Queremos demostrar que $$W_x\sim p_x$$. Entonces;
\[
\begin{aligned}
\P(W_x=y) &= \P\left(\inf\left\{y\in I: \sum_{z=1}^yp_{xz}\geq u\right\}\right)\\
&= \P\left(u\in\left[\sum_{z=1}^{y-1}p_{xz}, \sum_{z=1}^yp_{xz}\right]\right)\\
&= p_{xy}
\end{aligned}
\]
''P3'' Sea $$(X_n)$$ una cadena de Markov con conjunto de estados $$I$$, matriz de transición $$P$$ y distribución inicial $$μ$$. Sea $$R$$ una
relación de equivalencia en $$I$$ con clases de equivalencia $$I/R = \{[x] : x \in I\}$$. Asuma que la matriz P satisface:
\[
\forall y\in I, \forall x\in I, \forall x'\in [x]: \sum_{z\in[y]}P_{x, z}=:P(x, [y]) = P(x', [y])
\]
Pruebe que $$([X_n])$$ es una cadena de Markov con conjunto de estados $$I/R$$, matriz de transición $$P_\Rel$$ dada por $$P_\Rel([x], [y]) := P(x, [y])$$ y distribución inicial $$\mu_\mathcal{R}([x]) = \sum_{z\in [x]}\mu(z)$$.
Primero, hay que ver que $$\mu_\mathcal{R}$$ es una medida de probabilidad:
\[
0\leq \mu_\mathcal{R}([x]) = \sum_{z\in [x]}\mu(z)\leq 1
\]
\[
\begin{aligned}
\sum_{[x]\in I/R}\mu_\mathcal{R}([x]) &= \sum_{[x]\in I/R}\sum_{z\in [x]}\mu(z)\\
&= \sum_{z\in I}\mu(z) = 1
\end{aligned}
\]
[[Ejercicio Pendiente]] $$P_\mathcal{R}$$ es matriz estocástica
Por último, se utiliza la caracterización de las CM:
\[
\begin{aligned}
r_n:= \P([X_n]=[x_n],\ldots, [X_0]=[x_0]) &= \P(X_n\in[x_n], \ldots, X_0\in[x_0])\\
&=\sum_{z_0\in[x_0]}\ldots\sum_{z_n\in[x_n]}\P(X_n=z_n,\ldots,X_0=z_0)\\
&=\sum_{z_0\in[x_0]}\ldots\sum_{z_n\in[x_n]}\mu_{z_0}\prod_{k=0}^{n-1}p_{z_kz_{k+1}}\\
&=\sum_{z_0\in[x_0]}\ldots\sum_{z_{n-1}\in[x_{n-1}]}\mu_{z_0}\prod_{k=0}^{n-2}p_{z_kz_{k+1}}\sum_{z_n\in[x_n]}p_{z_{n-1}z_n}\\
&= r_{n-1}P(z_{n-1}, [x_n])\\
&= r_{n-1}P_{\Rel}([z_{n-1}], [x_n]) \\
&= r_{n-1}P_{\Rel}([x_{n-1}], [x_n])
\end{aligned}
\]
Así, se debe tener que:
\[
\begin{aligned}
r_n:=r_0\prod_{k=0}^{n-1} P_{\Rel}([x_{n-1}], [x_n]) = \mu_\Rel([x_0])\prod_{k=0}^{n-1} P_{\Rel}([x_{n-1}], [x_n])
\end{aligned}
\]
Que es la caracterización de las cadenas de Markov.
[[21/04/15]]
''P1: Formulaciones''
En el problema de TSP simétrico, dado un grafo con una función de costo en las arista, se busca
un ciclo Hamiltoniano de costo mínimo, considere las dos formulaciones:
M1:
\[
\begin{aligned}
\min\, \sum_{e\in E} c_ex_e\\
\text{s.a.} \sum_{e\in\delta(S)} x_e &= 2&&: \forall v\in V\\
\sum_{e\in E(S)} x_e &= |S|-1&&: \forall S\subseteq V, S\neq\varnothing \\
x_E&\in\{0, 1\}&&:\forall e\in E
\end{aligned}
\]
M2:
\[
\begin{aligned}
\min\, \sum_{e\in E} c_ex_e\\
\text{s.a.} \sum_{e\in\delta(S)} x_e &= 2&&: \forall v\in V\\
\sum_{e\in \delta(S)} x_e &\geq 2&&: \forall S\subseteq V, S\neq\varnothing \\
x_E&\in\{0, 1\}&&:\forall e\in E
\end{aligned}
\]
Demostrar que $$P_1=P_2$$.
''Solución''
Sea $$S\subseteq V, S\neq\varnothing$$. Para ambas implicancias, cabe primero destacar que:
\[
\sum_{v\in S}\sum_{e\in\delta(v)} x_e = \sum_{v\in S} 2 = 2|S| = 2\sum_{e\in E(S)}x_e + \sum_{e\in \delta(s)}x_e
\]
Para $$P_2\subseteq P_1$$, se tiene:
\[
\begin{aligned}
2|S| &= 2\sum_{e\in E(S)} x_e + \sum_{e\in \delta(S)} x_e\\
&\geq 2\sum_{e\in E(S)} x_e + 2
\end{aligned}
\]
Despejando:
\[
\sum_{e\in E(S)} x_e \leq |S|-1
\]
Que es lo deseado. Por otro lado:
\[
\begin{aligned}
2|S| &= 2\sum_{e\in E(S)} x_e + \sum_{e\in \delta(S)} x_e\\
&\leq 2(|S|-1) + \sum_{e\in \delta(S)} x_e\\
&\leq 2|S|-2 + \sum_{e\in \delta(S)} x_e\\
\end{aligned}
\]
Despejando:
\[
\sum_{e\in \delta(S)} x_e \leq 2
\]
Que es lo deseado para tener $$P_2\subseteq P_1,$$ concluyendo.
''P2: Modelamiento y Dualidad''
Juan desea que los estudiantes atiendan a sus horas de consulta. Juan ha observado que los
estudiantes tienden a asistir menos si han ido previamente donde Pedro, otro profesor que dicta su
misma asignatura, por lo que Juan ha decidido sabotear Pedro: Juan bloqueará caminos entre la
sala de clases en 850 y la oficina de Pedro. En este problema consideraremos que el campus es un
grado dirigido $$G = (V,E,C)$$ en donde $$v_i, v_j \in V$$ corresponden a puntos de referencia del campus,
por ejemplo, la cafetería o la biblioteca de 850. La arista dirigida $$(i, j) \in E$$ es el camino dirigido
entre $$v_i$$ y $$v_j$$ , y la capacidad $$c_{ij} \in C$$ es el número máximo de alumnos que pueden cursar a través de
$$(i, j)$$. Los estudiantes empiezan es su sala de clases $$v_s$$ y se mueven a través de las aristas hacia $$v_t$$,
la oficina de Pedro. Suponemos que no existen aristan que terminan en $$v_s$$ ni empiezan en $$v_t$$. Juan
decide bloquear los caminos colocando barricadas. Sin embargo, debido a represalías existentes por
parte de la jefatura por incurrir en semejante acto, desea bloquear los posibles caminos de la manera mas ajustada (la capacidad total bloqueada por las barricadas sea la menor posible) de manera que
ningún estudiante pueda llegar a la oficina de Juan.
# Formule un modelo para resolver el problema anterior. ''Hint'': defina $$x_i$$ para $$v_i \in V, x_s = 1, x_t = 0$$ y una variable binaria $$y_{i,j}$$ para $$(i, j) \in E.$$
# Relaje el problema: $$x_i > 0 , y_{i,j} > 0$$. Calcule el dual de esta relajación.
''Solución''
Variables:
* $$y_{ij}$$ es 1 ssi se pone una barricada en el camino $$ij$$
* $$x_t$$ es 1 ssi es posible llegar desde $$v_t$$ hasta $$v_s$$
Restricciones:
* $$x_t=0$$: No se debe poder llegar a la oficina de Pedro
* $$x_s=1$$: Punto de partida
* $$1 \geq y_{ij} \geq x_i-x_j$$: Activación de la barricada, pues cuando $$x_i=1, x_j=0$$ se tiene $$y_{ij}=1$$, es decir, hay una barricada bloqueando.
* Todas las variables son enteras
Objetivo:
\[
\min\, \sum_{ij\in E} y_{ij}c_{ij}
\]
Veamos que este es un modelo exacto.
Sea $$(x, y)$$ una solución factible del modelo. Luego, se induce una partición en el grafo dada por $$L = x^{-1}(0), R = x^{-1}(1)$$ (no es bipartito, pues $$E[L, R] = y^{-1}(1)$$, esto es un corte). La restricción $$x_t=0$$ garantiza que todos los caminos hacia $$x_t$$ han sido bloqueados, por lo que es solución factible del problema.
Sea $$S$$ un solución del problema. Se define $$x: V\to \{0, 1\}$$ como $$x_i = 1$$ ssi el vértice $$i$$ es accesible desde la sala de clases. En particular, como es solución, se tiene que $$x_s=1, x_t=0$$, pues la sala de clases es obviamente accesible desde sí misma y como es solución, la oficina de Pedro no puede ser accesible. Ahora, sea $$y: V^2\to\{0, 1\}$$ como $$y_{ij} = 1$$ ssi se ha colocado una barrera en $$(i, j)$$. Existen los siguientes casos:
* Si $$x_j=0, x_i=1$$: Como uno es accesible y el otro no, se tiene que $$y_{ij} = 1 \geq x_i - x_j$$
* Si $$x_i=x_j$$: Acá $$x_j-x_i = 0 \leq y_{ij}$$
Entonces, $$(x, y)$$ son factibles de la formulación.
Entonces, la formulación es un modelo. Escribiendo el modelo relajado:
\[
\begin{aligned}
\min\, \sum_{ij\in E} y_{ij}c_{ij}\\
\text{s.a. }\, y_{ij} &\geq x_i - x_j&&: \forall (i, j)\in E\\
x_s &= 1\\
x_t &= 0\\
0\leq y_{ij}&\leq 1&&: \forall (i, j)\in E\\
0\leq x_{i}&\leq 1 &&: \forall i\in V\\
\end{aligned}
\]
Transformando esto a una forma más cómoda para calcular su dual:
\[
\begin{aligned}
\min\, \sum_{ij\in E} y_{ij}c_{ij}\\
\text{s.a. }\, y_{ij} - x_i + x_j &\geq 0&&: \forall (i, j)\in E\\
x_s - x_t &= 1\\
0&\leq y_{ij}&&: \forall (i, j)\in E\\
0&\leq x_{i} &&: \forall i\in V\\
y_{ij}&\leq 1&&: \forall (i, j)\in E\\
x_{i}&\leq 1 &&: \forall i\in V\\
\end{aligned}
\]
El cual es:
\[
\begin{aligned}
\max\, w\\
\text{s.a. }\, 0\leq z_{ij} &\leq c_{ij}&&: \forall (i, j)\in E\\
x_s - x_t &= 1\\
\sum_{e\in\delta^{+}(i)} z_{e} &\leq \sum_{e\in\delta^{-}(i)} z_{e}&&: \forall i\in V\\
w &\leq \sum_{e\in\delta^{+}(s)} z_{e} \\
\sum_{e\in\delta^{-}(t)} z_{e} &\leq w\\
w &\geq 0
\end{aligned}
\]
''P3: Redondeo''
Diremos que una solución A es una $$\alpha$$-aproximación, para un problema de minimización, si
$$\text{valor(A)}\leq \alpha\cdot\text{valor(OPT)}$$, en donde OPT es la solución óptima del problema.
Considere el problema Min Vertex Cover: Dado un grafo $$G = (V,E)$$ y pesos $$w_v$$ para $$v \in V$$, se desea
encontrar $$C \subseteq V$$ tal que cada arista $$e \in E$$ es cubierta por algún vertice en $$C$$, minimizando $$w(C)$$.
# Escriba una formulación para resolver el problema.
# Dada una solución $$x^*$$ óptima para la versión relajada (restricciones de integralidad) de Min Vertex Cover, utilice la siguiente estrategía de redondeo para encontrar una solución $$z$$, donde $$z_u$$ es el entero más cercano a $$x_u^*$$, Demostrar que $$z$$ es una 2-aproximación.
''Solución''
1.
\[
\begin{aligned}
\min\, \sum_{v\in V}x_v w_v\\
\text{s.a. }\, x_i + x_j &\geq 1&&: \forall ij\in E\\
0\leq x_i &\leq 1&&: \forall i\in V\\
x_i &\in \Z&&: \forall i\in V\\
\end{aligned}
\]
[[Ejercicio Pendiente]]: Pruebe que es un modelo. Demuestre que es exacto o de un contraejemplo de que no lo es.
2.
Sea $$x$$ una solución óptima del PL relajado, y $$z$$ definido como en el problema.
Por definición, es claro que $$z\in\{0, 1\}$$. Luego, considerar una arista $$ij$$. Como $$x$$ es solución del PL, debe darse que $$x_i < 0.5 \vee x_j < 0.5$$ (pues de otra forma no se cumpliría la restricción), es decir, $$z_i = 0 \vee z_j = 0\implies z_i + z_j \geq 1$$. Así, $$z$$ es una solución factible del PLE.
Más aún, se tiene que $$z_v\leq 2x_v$$, por lo cual:
\[
\sum_{v\in V} w_vz_v \leq \sum_{v\in V} w_v(2x_v) = 2\sum_{v\in V} w_vx_v \leq 2val(x)
\]
[[21/04/13]]
''P1'' Sea X un espacio de Banach de dimensión infinita. Considere el conjunto $$\R^{X^*}$$ dado con su topología
producto. Recuerde la identificación natural entre $$X$$ y $$X^{**}$$ para lo que sigue, lo cual permite identificar a $$X\subseteq \R^{X^*}$$
a) Caracterice una base de vecindades de $$(X, \tau_p)$$, donde $$\tau_p$$ es la topología traza (c/r a $$X$$) de la
topología producto en $$\R^{X^*}$$.
''Solución:'' Una base del 0 de $$\tau_p$$ están dada por:
\[
U_{I} := \bigcap_{i\in I} \pi^{-1}_{x_i^*}(-\epsilon_i, \epsilon_i)
\]
Donde $$|I|<\infty, \epsilon_i>0, x_i^*\in X^*$$.
Para $$f\in R^{X^*}$$, se tiene:
\[
\begin{aligned}
f\in \pi^{-1}_{x_i^*}(-\epsilon_i, \epsilon_i) &\iff \pi_{x_i^*}(f)\in (-\epsilon_i, \epsilon_i)\\
&\iff |f(x_i^*)|<\epsilon_i
\end{aligned}
\]
En particular, si $$f=\delta_x$$:
\[
\begin{aligned}
f\in \pi^{-1}_{x_i^*}(-\epsilon_i, \epsilon_i) &\iff |\langle x_i^*, x\rangle| < \epsilon_i
\end{aligned}
\]
Simplificando, se puede tomar $$\epsilon = \min \epsilon_i$$. Así, se puede mejor escribir:
\[
U_{I, \epsilon} = \{x\in X: |\langle x_i^*, x\rangle|<\epsilon, \forall i\in I\}
\]
Como una base de vecindades más fácil de trabajar, dada por la familia $$\mathcal{U} := \{U_{I, \epsilon}\}_{|I|<\infty, \epsilon>0}$$.
Ver que $$(X, \tau_p)$$ es evt también es posible, que es totalmente análogo a la demostración que la topología débil es evt.
b) Verifique que $$\tau_p$$ es localmente convexa
''Solución:'' Basta demostrar que los elementos de la base son conexos. Sean $$\lambda \in [0, 1], x_1, x_2\in U_{I, \epsilon}\in\mathcal{U}$$.
Tenemos que $$\forall i\in I: |\langle x_i^*, x_1\rangle|<\epsilon, |\langle x_i^*, x_2\rangle|<\epsilon$$. Luego:
\[
\begin{aligned}
|\langle \lambda x_1 + (1-\lambda)x_2\rangle| &\leq |\langle \lambda x_1, x_i^*\rangle| + |\langle (1-\lambda)x_2, x_i^*\rangle| \\
&\leq \lambda\epsilon + (1-\lambda)\epsilon = \epsilon:\forall i\in I
\end{aligned}
\]
Es decir, $$\lambda x_1 + (1-\lambda)x_2\in U_{I, \epsilon}$$, por lo cual cualquier elemento de la base es convexo.
c) Demuestre que la función:
\[
\begin{aligned}
\varphi: (X, \sigma(X, X^*)) &\to (X, \tau_p)\\
x&\mapsto \varphi(x)=\delta_x
\end{aligned}
\]
Es un homeomorfismo. ¿Cómo podemos caracterizar $$\tau_p$$?
Notar que la topología $$\sigma(X, X^*)$$ es la topología inducida por $$X^*$$ y $$\tau_p$$ es la inducida por $$\{\pi_{x^*}\}_{x^*\in X^*}$$, por [[Continuidad en la topología inicial]], basta demostrar que:
\[
\begin{aligned}
\pi_{x^*}\circ\varphi &\text{ es continua }\forall x^*\in X^*\\
\varphi^{-1}\circ x^* &\text{ es continua }\forall x^*\in X^*
\end{aligned}
\]
\[
\begin{aligned}
\pi_{x^*}(\varphi(x)) &=\pi_{x^*}(\delta_x)\\
&=\delta_x(x^*)\\
&= \langle x^*, x\rangle
\end{aligned}
\]
Que es continuo por la definición de la topología débil. Por otro lado:
\[
\begin{aligned}
x^*(\phi^{-1}(\delta_x)) &= x^*(x)\\
&= \langle x^*, x\rangle
\end{aligned}
\]
Esto va $$(X, \tau_p)\to\R$$. Sea $$\epsilon >0$$, notar que:
\[
\langle x^*, x\rangle^{-1}(-\epsilon, \epsilon) = \{x\in X: \langle x^*, x\rangle<\epsilon\} = U_{\{x^*\}, \epsilon}
\]
Que se vió en la parte a) que es abierto.
Así, $$\phi$$ es homeomorfismo, es decir, $$\tau_p \cong \sigma(X, X^*)$$
''Solución:''
d) Verifique que los $$\sigma(X, X^*)$$ abiertos son no acotados en norma. En particular que todos los $$\sigma(X, X^*)$$ abiertos contienen subespacios vectoriales de dimensión infinita.
Una $$\sigma(X, X^*) $$ estará dada por la de $$\tau_p$$. En particular, notar que
\[
N := \bigcap_{I} \ker(x_i^*) \subseteq U_{I, \epsilon}
\]
Luego, $$\forall i\in I$$, consideramos $$x_i\notin\ker(x_i^*)$$.
Sea $$L = \{x_{\lambda_j}\}_{j\leq m}$$ li maximal en $$\{x_i\}_{i\in I}$$, que es finito, entendido por una base de Hamel de X, $$B = \{x_\lambda\}_{\lambda\in\Lambda}$$, que es infinita. Entonces, $$L$$ genera a $$X\setminus N\implies B\setminus L$$ genera a $$N$$ ([[Golazo]] a revisar), por lo cual es una base de Hamel, es decir, $$N$$ es de dimensión infinita.
''Solución:''
e) Pruebe que:
\[
A\subseteq X \text{ es } \sigma(X, X^*)\text{-acotado} \iff \sup_{a\in A}\, |x^*(a)|<\infty; \forall x^*\in X^*
\]
Recuerdo: [[Acotado]]
''Solución''
($$\implies$$)
Sea $$x^*\in X^*. \forall \epsilon > 0\exists t>0$$ tal que
\[
\begin{aligned}
A&\subseteq tU_{{x^*}, \epsilon}\\
&\subseteq \{tx\in X: |x^*(x)|<\epsilon\}\\
&\subseteq \{x\in X: |x^*(x)|<t\epsilon\}\\
&\implies \forall a\in A: |\langle x^*, a\rangle| < t\epsilon\\
&\implies \sup_{a\in A}\,|\langle x^*, a\rangle| < t\epsilon\\
&\implies \sup_{a\in A}\,|\langle x^*, a\rangle| < \infty: \forall x^*\in X^*\\
\end{aligned}
\]
($$\impliedby$$)
Sea $$U_{I, \epsilon}\in \mathcal{U}$$. Sea $$M_i := \sup_{a\in A}\, |\langle x_i^*, a\rangle|<\infty$$ por hipótesis, y $$M = 1+\max_{i\in I}\, M_i$$. Luego:
\[
\begin{aligned}
A&\subseteq \{x\in X: \langle x_i^*, x\rangle|< M, \forall i\in I\}\\
&= \{x\in X: \langle x_i^*, x\rangle|< M\frac{\epsilon}{\epsilon}, \forall i\in I\}\\
&= \frac{M}{\epsilon}U_{I, \epsilon}
\end{aligned}
\]
Por lo cual $$A$$ es $$\sigma(X, X^*)$$ acotado.
[[Pendiente]]: Otros ejercicios del auxiliar que no se alcanzaron.
[[21/04/16]]
''Resumen''
* [[Filtración]]
* [[Caracterización de cadenas de Markov por filtración]]
* [[Propiedad de Markov débil]]
* [[t.d.p.]]
* [[Filtración inducida por un tdp]]
* [[Propiedad de Markov fuerte]]
''P1: Tiempos de alcance''
Sea $$X$$ una [[Cadena de Markov]] sobre $$I$$. Dado $$A\subseteq I$$ con [[Tiempo de retorno discreto]] $$\tau_A$$, demostrar que el vector $$u = (\P_i(\tau_a<\infty))_{i\in I}$$ es solución minimal no negativa del sistema:
\[
u_i = \sum_{j\in A} p_{ij} + \sum_{j\in I\setminus A} p_{ij}u_j
\]
''Solución''
Por la definición $$u$$ es no negativo. Luego, hay que ver que satisface el sistema:
\[
\P_i(\tau_A<\infty) = \P_i(\exists n\geq 1: X_n\in A) = \E_i(1_{\exists n\geq 1: X_n\in A})
\]
La idea de esto es usar Markov débil. Para ello, se define la función $$f: I^\N\to \R$$ como tal:
\[
f(x) := 1_{\exists n\in\N: x_n\in A}
\]
Que por la parte anterior es $$\Fel_n$$ medible y acotada, permitiendo usar la propiedad de Markov Débil. Luego:
\[
\begin{aligned}
\E_i(1_{\exists n\geq 1: X_n\in A}) &= \E_i(f(X_1,\ldots))\\
&= \E_i(\E_i(f(X_1,\ldots)|\Fel_1))\\
&= \E_i(\E_{X_1}(f(X_0,\ldots)))\\
&= \E_i(\E_{X_1}(1_{\exists n\in\N: x_n\in A}))\\
&= \E_i\left(\sum_{j\in I}\E_j(1_{\exists n\in\N: x_n\in A})1_{X_1=j}\right)\\
&= \E_i\left(\sum_{j\in I}\P_j(\exists n\in\N: x_n\in A)1_{X_1=j}\right)\\
&=\sum_{j\in I}\P_j(\exists n\in\N: x_n\in A) \E_i(1_{X_1=j})\\
&=\sum_{j\in A}\P_j(\exists n\in\N: x_n\in A) \E_i(1_{X_1=j}) +\sum_{j\notin A}\P_j(\exists n\in\N: x_n\in A) \E_i(1_{X_1=j}) \\
&=\sum_{j\in A}\P_i(1_{X_1=j}) +\sum_{j\notin A}\P_j(\exists n\in\N: x_n\in A) \P_i(X_1=j) \\
&=\sum_{j\in A}p_{ij}+\sum_{j\notin A}\P_j(\exists n\in\N: x_n\in A) p_{ij}\\
&=\sum_{j\in A}p_{ij}+\sum_{j\notin A}\P_j(\tau_A<\infty) p_{ij}\\
&=\sum_{j\in A}p_{ij}+\sum_{j\notin A}u_j p_{ij}\\
\end{aligned}
\]
Por lo cual $$u$$ es solución del sistema. Sea $$y$$ otra solución del sistema. [[Pendiente]]: Demostrar que $$u\leq y$$ .
''P2: N-ciclo''
Considere el paseo aleatorio en el N−ciclo, $$X_n$$ y sea $$W$$ el vértice ocupado justo la primera vez luego de haber
visitado todo el resto de los nodos. Demuestre que W está uniformemente distribuido sobre todos los vértices menos sobre
el inicial.
//Indicación: Es conocido el resultado de que la probabilidad de llegar antes el enésimo punto de una recta que al primero,
partiendo del segundo, es $$\frac{1}{N-1}$$ si saltamos a cada lado equilibradamente.//
''Solución''
Sin pérdida de generalidad, tomaremos que la cadena parte en el estado 1. Sea $$k\leq N$$, se quiere demostrar que:
\[
\P_1(W=k) = \frac{1}{N-1}
\]
Se considerarán los tiempos de parada $$\tau_k$$ y $$\tau = \sup_{k\leq N}\, \tau_k$$. Notar que $$\tau$$ es justamente el último tiempo en el que se alcanza un vértice no visitado, es decir, el tiempo en que se alcanza $$W$$, es decir, $$X_\tau = W$$.
En particular, se tiene que:
\[
\P_1(W=k) = \P_1(X_\tau=k) = \P_1(\tau=\tau_k)
\]
Además, para que $$W=k$$, entonces el paso anterior debe ser $$k\pm 1$$. Separando respecto a cual se vé primero:
\[
\P_1(\tau=\tau_k)= \P_1(\tau=\tau_k, \tau_{k-1}<\tau_{k+1}) + \P_1(\tau=\tau_k, \tau_{k+1}<\tau_{k-1})
\]
Calculando uno de estos términos:
\[
\begin{aligned}
\P_1(\tau=\tau_k, \tau_{k-1}<\tau_{k+1}) &= \P_1(\tau_{k+1}<\tau_k, \tau_{k-1}<\tau_{k+1})\\
&= \E_1(1_{\tau_{k+1}<\tau_k}1_{\tau_{k-1}<\tau_{k+1}})\\
&= \E_1(\E_1(1_{\tau_{k+1}<\tau_k}1_{\tau_{k-1}<\tau_{k+1}}|\Fel_{\tau_{k-1}}))\\
\end{aligned}
\]
Usando que $$\{t_{k-1}<t_{k+1}\}\in \Fel_{\tau_{k-1}}$$, que permite usar medibilidad para tener:
\[
\P_1(\tau=\tau_k, \tau_{k-1}<\tau_{k+1}) = \E_1(\E_1(1_{\tau_{k+1}<\tau_k}|\Fel_{\tau_{k-1}})1_{\tau_{k-1}<\tau_{k+1}})
\]
Luego, considerar $$f=1_{A}$$ acotada con $$A = \{\exists j\in \N: x_k=k+1, \forall i\leq j, x_i\neq k \}$$ medible. Así, con Markov Fuerte:
\[
\E_1(1_{\tau_{k+1}<\tau_k}|\Fel_{\tau_{k-1}}) = \E_{X_{\tau_{k-1}}}(1_{\tau_{k+1}<\tau_k})
\]
Reemplazando:
\[
\begin{aligned}
\P_1(\tau=\tau_k, \tau_{k-1}<\tau_{k+1}) &= \E_1(1_{\tau_{k-1}<\tau_{k+1}} \E_{X_{\tau_{k-1}}}(1_{\tau_{k+1}<\tau_k}) )\\
&= \E_1\left(1_{\tau_{k-1}<\tau_{k+1}} \sum_{j\in I}\E_{j}(1_{\tau_{k+1}<\tau_k})1_{X_{\tau_{k-1}}=j}\right)\\
&= \E_1(1_{\tau_{k-1}<\tau_{k+1}}\E_{k-1}(1_{\tau_{k+1}<\tau_k}))\\
&= \E_1(1_{\tau_{k-1}<\tau_{k+1}}\P_{k-1}(\tau_{k+1}<\tau_k))\\
&= \P_{k-1}(\tau_{k+1}<\tau_k)\E_1(1_{\tau_{k-1}<\tau_{k+1}})\\
&= \P_{k-1}(\tau_{k+1}<\tau_k)\P_1(\tau_{k-1}<\tau_{k+1})\\
\end{aligned}
\]
La indicación nos dice que:
\[
\P_{k-1}(\tau_{k+1}<\tau_k) =\frac{1}{N-1}
\]
Reemplazando:
\[
\P_1(\tau=\tau_k, \tau_{k-1}<\tau_{k+1}) =\frac{1}{N-1}\P_1(\tau_{k-1}<\tau_{k+1})
\]
Análogamente:
\[
\P_1(\tau=\tau_k, \tau_{k+1}<\tau_{k-1}) =\frac{1}{N-1}\P_1(\tau_{k+1}<\tau_{k-1})
\]
Sumando estos dos casos:
\[
\P_1(\tau=\tau_k)= \frac{\P_1(\tau_{k+1}<\tau_{k-1}) + \P_1(\tau_{k-1}<\tau_{k+1})}{N-1} = \frac{1 - \P_1(\tau_{k+1}=\tau_{k-1})}{N-1} = \frac{1}{N-1}
\]
Concluyendo lo pedido.
''P3: Tiempos de parada''
Sean $$\tau_1, \tau_2$$ tdp. Demostrar que:
\[
\Fel_{\tau_1\wedge \tau_2} = \Fel_{\tau_1}\cap\Fel_{\tau_1}
\]
¿Es cierto que $$\Fel_{\tau_1\vee\tau_2} = \Fel_{\tau_1}\cup\Fel_{\tau_1}$$?
[[Ejercicio Pendiente]]
[[21/04/22]]
''Resumen''
* [[Matching]]
* [[Polítopo de matching]]
''P1''
Dado un grafo bipartito y $$x:E\to \R_+$$ que cumple $$\forall v\in V: x(\delta(v)) = 1$$, demostrar que esto describe completamente al polítopo de matching perfecto $$P_{pm}(G)$$
''Solución''
''P2''
Demuestre que el polítopo de matching $$P_m(G)$$ es definido por $$x:E\to \R_+$$ que cumple $$\forall v\in V: x(\delta(v)) = 1$$ ssi $$G$$ es bipartito.
''Hint: '' Demuestre solo para el caso de un grafo compuesto por $$G$$ y una copia $$G'$$ unidos por arcos
en sus nodos respectivos
''Solución''
''P3''
Demuestre que el politopo de matching $$p_m(G)$$ de un grafo no dirigido $$G(V,E)$$ esta dado por:
\[
p_{pm}(G) = \left\{x:E\to\R_+| \forall v\in V: x(\delta(v)) \leq 1, \forall U\subseteq V \text{ tal que } |U| \text{ es impar }: x(E(U)) \leq \frac{|U|-1}{2} \right\}
\]
''Solución''
[[21/04/20]]
''P1: Contradiciendo la intuición''
Sea $$\ell_2$$ el espacio de las sucesiones cuadrado sumables, es decir:
\[
\ell_2 = \left\{a\in\R^\N: \sum_{n\in\N}|a_n|^2<\infty \right\}
\]
Consideramos entonces $$A\subseteq \ell_2$$ dado por:
\[
A := \{e_m+me_n|m, n\in\N, 1\leq m<n<\infty\}
\]
''a) ''Demuestre que $$0\in \overline{A}^w$$ (es decir, la adherencia de la [[Topología débil]] de $$A$$)
''Solución:''
Para esto, basta ver que para toda vecindad de 0 en la topología débil, se cumple que $$V\cap A\neq\varnothing.$$ Pero las vecindades de 0 se pueden escribir:
\[
V_F = \{y\in\ell^2: \langle f, y\rangle < \epsilon, \, \forall f\in F\}
\]
Con $$F\subseteq(\ell^2)^* = \ell^2$$ finito. Más aún, notar que:
\[
\langle f, y\rangle = \sum_{n\in\N} f_ny_n
\]
En particular:
\[
\langle f, e_k\rangle = f_k
\]
Como $$f\in\ell^2$$, se tiene que $$f_n\to 0.$$ Entonces, para $$m$$ suficientemente grande, $$|f_m|<\frac{\epsilon}{2}$$, y más aún, algún $$n>m$$ tal que $$|f_n|<\frac{\epsilon}{2m}$$, de manera que se cumple:
\[
\begin{aligned}
|\langle f, e_m+me_n\rangle| &= |\langle f, e_m\rangle + m\langle f, e_n\rangle|\\
&= |f_m + mf_n| < |f_m| + m|f_n| \\
&< \frac{\epsilon}{2}+m \frac{\epsilon}{2m} =\epsilon
\end{aligned}
\]
En particular, $$e_m+me_n\in A\cap W$$.
''b)'' Demuestre que no existe $$(x_n)\subseteq A$$ tal que $$x_n\rightharpoonup 0.$$ ¿Qué dice esto de la topología $$\sigma(X, X^*)?$$
''Solución:'' Claramente la hipótesis ta jarcor, a darle por contradicción. Dado $$x_k = e_{m_k} + m_ke_{n_k}$$ con $$x_k\rightharpoonup 0,$$ se tiene que $$\Vert x_k\Vert_{\ell^2}$$ está acotado uniformemente pues [[Débilmente convergente implica acotado]], por lo cual $$m_k$$ debe necesariamente estar acotado. Entonces, sin pérdida de generalidad se puede tomar que $$m_k$$ es una sucesión convergente (pues de no ser así, basta considerar una subsucesión) de enteros. Entonces, sin perder generalidad se puede asumir más aún que $$m_k=m$$ constante.
Así, se puede tomar $$x_k = e_m+me_{n_k}.$$ Luego:
\[
\langle e_m, x_{k}\rangle = \langle e_m, e_{m}+me_{n_k}\rangle = \langle e_m, e_{m}\rangle = 1
\]
Que no converge a $$0$$, contradiciendo la convergencia débil.
''P2: Repaso evt''
''a)'' Sea $$X$$ un ev, $$X\neq\{0\}$$. Demostrar que no es un evt bajo la topología discreta.
''Solución:'' Se verá que el producto no es continuo, pues:
\[
\cdot^{-1}(\{0_X\}) = \R\times\{0_X\}\cup \{0_\R\}\times X
\]
Así, la preimagen de un abierto resulta en un cerrado. Como $$\R$$ es conexo, no puede ser abierto, por lo cual $$X$$ no es un evt.
''b)'' Sea $$X$$ un evt localmente conexo, $$A, B\subseteq X$$ convexos no vacíos y tales que $$0\notin \overline{A-B}.$$ Demuestre que existe $$f\in X^*$$ tal que $$\sup_{b\in B}\, f(b) < \inf_{a\in A}\, f(b)$$
''Solución:'' Claramente se quiere separar el convexo compacto $$\{0\}$$ del convexo cerrado $$\overline{A-B}$$, usando el [[Teorema de Hahn-Banach Geométrico Segunda Forma]], tenemos que existe $$f\in X^*, \alpha\in\R$$ tal que:
\[
f(0)<\alpha<f(x)\, \forall x\in\overline{A-B}
\]
Tomando $$x\in A-B$$, y usando linealidad se tiene en particular:
\[
0 < \alpha < f(a)-f(b)
\]
Es decir:
\[
\begin{aligned}
f(b) &< f(b) + \alpha &&< f(a)\\
\sup_{b\in B}\, f(b) &< \sup_{b\in B}\, f(b) + \alpha &&\leq \inf_{a\in A}\, f(a)\\
\sup_{b\in B}\, f(b) &< \inf_{a\in A}\, f(a)
\end{aligned}
\]
Que es lo pedido.
''P3:'' [[Lema de Schur]]
[[21/04/23]]
''Resumen''
* [[Llevar estados]]
* [[Comunicación de estados]]
* [[La comunicación de estados es una relación de equivalencia]]
* [[Caracterización de llevar estados]]
* [[Clase de estado]]
* [[Cadena irreducible]]
* [[Periodo de un estado]]
* [[Propiedad de clase]]
* [[Número de visitas]]
* [[Estado transiente]]
* [[Estado recurrente]]
* [[Dicotomía recurrencia-transiencia discreta]]
!!P1: [[Equivalencias de recurrencia]]
!!P2 [[Pendiente]]
!!P3
Sea $$a$$ un vector de probabilidad sobre $$\N_0$$ tal que $$|\{n\in\N: a_n>0\}|=\infty$$ y $$X$$ una cadena con matriz de transición definida como tal:
\[
\begin{aligned}
p_{ij} = \begin{cases}a_j&\text{ si } i=0\\
r&\text{ si } j=i\neq 0\\
1-r&\text{ si } j = i - 1\geq 0
\end{cases}
\end{aligned}
\]
Con $$r\in(0, 1)$$. Demostrar que la cadena es aperiódica, irreducible y recurrente.
''Solución''
Para $$i\neq 0$$ se tiene que $$p_{ii}^{(1)}=r>0$$ se tiene que el periodo es 1, por lo que es aperiódica.
Antes de ver $$i=0$$, se verá que es irreducible, es decir, $$i\to j$$ siempre, para lo cual de verá primero que $$0\leftrightarrow j$$, que permitirá usar que es relación de equivalencia.
Primero, sea $$j\in I$$, veremos que $$j\to 0$$, es decir, que existe $$l\in\N$$ tal que $$p_{j0}^{l}>0$$:
\[
\begin{aligned}
p_{j0}^{j}&\geq p_{jj-1}p_{j-1j-2}p_{j-2j-3}\ldotsp_{10}\\
&= (1-r)^j>0
\end{aligned}
\]
Que es lo que se buscaba. Luego, para ver que $$0\to j$$. Considerar $$k\geq j$$ tal que $$a_k>0$$, que existe por la hipótesis. Entonces, se puede utilizar este camino:
\[
\begin{aligned}
p_{0j}^{k-j+1}&\geq p_{0k}p_{kj}^{(k-j)}\\
&\geq a_k p_{kk-1}p_{k-1k-2}\ldots p_{j+1j}\\
&\geq a_k (1-r)^{k-j}> 0
\end{aligned}
\]
Que es lo que se buscaba, por lo cual $$0\leftrightarrow j$$, y en particular, la cadena es irreducible.
Para finalizar, se quiere ver la recurrencia, es decir, que todo estado sea recurrente. Sin embargo, como la recurrencia es propiedad de clase, y la cadena es irreducible, bastará demostrar que $$0$$ es recurrente, es decir:
\[
\P_0(\tau_0<\infty) = 1
\]
Para esto, se calcula la siguiente probabilidad:
\[
\P_0(\tau_0=\infty) = \P(X_n\neq 0, \forall n\geq 1) = \lim_{N\to\infty}\P(X_n\neq 0, \forall N\geq n\geq 1)
\]
La expresión dentro del límite es como tal:
\[
\P(X_n\neq 0, \forall N\geq n\geq 1)
\]
[[Pendiente]]: Terminar
!!P4: [[Pendiente]]
!''P1: Aplicación del [[Teorema de Minkowski Weyl]]''
Demuestre que imágenes afines de [[Poliedro]]s son poliedros.
''Recordar:'' Definición de [[Función afín]]
''Solución''
Sea $$P$$ un poliedro. Por Minkowski, lo representamos como tal:
\[
P := \left\{B\lambda + C\mu: \lambda, \mu\geq 0, \sum \lambda = 1\right\}
\]
Sea $$f$$ afín dado por $$x\mapsto Mx + t$$.
Definiendo $$T$$ cuyas columnas son copias de $$t$$ de manera que:
\[
\begin{aligned}
\bar B &:= MB + T\\
\bar C &:= MC
\end{aligned}
\]
Entonces:
\[
\begin{aligned}
f(P) &= \left\{M(B\lambda + C\mu) + t: \lambda, \mu\geq 0, \sum \lambda = 1\right\}\\
&= \left\{\bar B\lambda + \barC\mu: \lambda, \mu\geq 0, \sum \lambda = 1\right\}\\
\end{aligned}
\]
Que por teorema de Minkowski, también es poliedro.
!''P2: Conos''
!! [[Cono de recesión]]
* $$P + rec(P) = P$$
''Solución''
Sea $$x + y \in P + rec(P)$$. Por la definición del cono de recesión, tomando $$\lambda = 1$$ se tiene que $$x+y\in P$$
Sea $$x\in P$$, basta notar que $$0\in rec(P)$$ por lo cual $$x = x+ 0 \in P + rec(P)$$
* $$P$$ es [[Polítopo]] ssi $$rec(P) = \{0\}$$
''Solución''
Por la [[Caracterización de los polítopos]] se tiene que:
\[
P \text{ es polítopo } \iff P \text{ es acotado} \iff rec(P) = \{0\}
\]
!! [[Cono dual]] (o polar)
* Si $$C = \{B\lambda: \lambda \geq 0\}$$, entonces $$C^* = \{a^\top : a^\topB\leq 0^\top\}$$
''Solución''
Notar que por definición se tiene que
\[
C^* = \{a\in R^n: a^\top B\lambda\leq 0 \forall \lambda \geq 0\} \supseteq \{a\in R^n: a^\top B\leq 0 \}
\]
Luego, dado $$a\in C^*$$, considerar $$x_i = Be_i\in C$$, entonces:
\[
\forall i, a^\top x_i \leq 0 \implies a^\top B \leq 0
\]
Por lo cual $$a\in \{a\in R^n: a^\top B\leq 0 \}$$, demostrando lo pedido.
* $$C^* = (C^{**})^*$$
''Solución''
Primero se determinará que $$C\subseteq C^{**}$$. Sea $$x\in C$$. Por definición de $$C^*$$ se tiene que todos sus elementos $$a\in C^*$$ se cumple:
\[a^\top x \leq 0 \implies x^\top a\leq 0 \implies C^{**}\]
En particular, se tiene que $$C^* \subseteq (C^{**})^*$$.
Luego:
\[
a\in (C^{**})^* \iff a^\top x \leq 0 \forall a\in C^{**} \implies x\in C^*
\]
Demostrando lo pedido.
* Si $$C = \{x: Ax\leq 0\}$$ entonces $$C=C^{**}$$
''Solución''
De la parte anterior se tiene $$\subseteq$$. Sea $$D := \{\lambda^\top A: \lambda\geq 0\}$$. De la parte 1 se tiene que $$D^* = \{a^\top: a^\top A\leq 0\}$$. Más aún, se tiene que:
\[
C^{**}
\]
!''P3: [[Cara]]s''
Demuestre que si un poliedro $$P$$ no es conjunto afín, entonces existe una cara cuya dimensión es $$\dim P -1$$.
[[21/05/27]]
!!Temas
* [[Espacio reflexivo]]
* [[Topología débil-*]]
!!P1:
En este problema se verá que $$C[0, 1]$$ no es reflexivo. Para ello:
!!!a) Probar [[Norma de funcional se alcanza en un espacio reflexivo]]
!!!b)
Sea $$l:C[0, 1]\to\R$$ dada por $$l(f) = \int_0^1 f(t)dt$$. Demuestre que $$l\in C[0, 1]^*$$
!!!Solución
Linealidad:
\[
\begin{aligned}
l(x+\lambda y) &= \int_0^1 (x + \lambda y)(t) dt\\
&= \int_0^1 x(t) + \lambda y(t) dt\\
&= \int_0^1 x(t) dt+ \lambda \int_0^1y(t) dt\\
&= l(x)+ \lambda l(y)\\
\end{aligned}
\]
Continuidad:
\[
\begin{aligned}
|l(f)| &= \left|\int_0^1 f(t) dt\right|\\
&\leq (1-0)\sup_{t\in [0, 1]}|f(t)|\\
&= \Vert f\Vert
\end{aligned}
\]
Y así, $$ \Vert l\Vert\leq 1 <\infty$$, por lo cual es contínuo.
!!!c)
Se define $$M = \{f\in C[0,1]: f(0)=0\}$$. Pruebe que:
\[
\sup_{f\in M\cap B_{\Vert\cdot\Vert_{\infty}}}\, \int_0^1 f(t)dt = 1
\]
!!!Solución
De la parte $$b)$$ se tiene la desigualdad $$\leq$$. Para el otro lado, considerar las funciones $$(u_n)_{n\in\N}\subseteq E$$ dadas por:
\[
x\mapsto u_n(x) = \begin{cases} nx \text{ si } x < \frac{1}{n}\\
1 \text{ si } \frac{1}{n} \leq x
\end{cases}
\]
Que cumplen $$\Vert u_n\Vert_\infty = 1$$ y $$u_n\in M$$ por construcción. Así:
\[
\begin{aligned}
\sup_{f\in M\cap B_{\Vert\cdot\Vert_{\infty}}}\, \int_0^1 f(t)dt &\geq \sup_{n\in\N}\, \int_0^1 u_n(t)dt \\
&= \sup_{n\in\N}\, \int_0^{\frac{1}{n}} u_n(t)dt +\int_{\frac{1}{n}}^{1} u_n(t)dt \\
&= \sup_{n\in\N}\, \int_0^{\frac{1}{n}} nt dt +\int_{\frac{1}{n}}^{1} dt \\
&= \sup_{n\in\N}\, \frac{1}{2n}+ \left(1-\frac{1}{n}\right)\\
&= 1
\end{aligned}
\]
!!!d)
Pruebe que no existe $$f\in M\cap B_{\Vert\cdot\Vert_{\infty}}$$ tal que $$\langle l, f\rangle = 1$$. Concluya el resultado
!!!Solución
Suponer que existe $$u$$ que cumple lo pedido. Luego:
\[
\begin{aligned}
f(u) = \int_0^1 u(t)dt &= \Vert f\Vert_{E^*}=1 = \int_0^1 1dt \\
\implies \int_0^1 (1-u(t)) dt &= 0
\end{aligned}
\]
Como se tiene que $$\Vert u\Vert = 1$$, en particular $$1-u(t)\geq 0$$. Luego, se tiene que $$u = 1$$ ctp, pero como $$u$$ es continua, entonces $$u\equiv 1$$. Esto contradice que $$u(0)=0$$, por lo cual no puede existir.
Para concluir, notar que $$M$$ es un sev cerrado de $$C[0, 1]$$. Por contrarrecíproca de la parte $$A$$ no es reflexivo. Por contrarrecíproca de [[Subespacio cerrado de Banach reflexivo es reflexivo]], entonces $$C[0, 1]$$ tampoco lo es.
!!P2
Sea $$E$$ un espacio de Banach. En este problema probaremos que los [[Teorema de Hahn-Banach Geométrico]] siguen siendo válidos para la [[Topología débil-*]]. Para ello proceder como sigue:
!!!a)
Sea $$\phi: E^*\to\R$$ función lineal débilmente-* contínua. Probar que existe $$x_0\in E$$ tal que $$\phi(f)=\langle f, x_0\rangle$$ para todo $$f\in E^*$$
!!!Solución
Como $$\phi$$ es débilmente-* contínua y lineal, por lo cual existe $$V$$ una vecindad del 0 tal que $$|\langle \phi, f\rangle|<1$$ para cada $$f\in V$$.
Pero más aún conocemos las vecindades en esta topología:
\[
V = \{f\in E^*: |\langle f, x_i \rangle | \leq \epsilon\, :\forall i\leq k\}
\]
Sea $$f\in V$$ tal que $$(x_i)\subseteq \ker\, f$$. En particular, se tiene que para cada $$\lambda>0, \lambda f\in V$$. Luego:
\[
|\langle \phi, \lambda f\rangle | = \lambda |\langle \phi, f\rangle| < 1
\]
Esto solamente se puede dar si $$\langle \phi, f\rangle = 0$$, pues de otra forma se puede considerar $$\lambda\to\infty$$.
Así, se tiene que:
\[
\bigcap_{i=1}^k \ker(x_i)\subseteq \ker\, \phi
\]
Por [[Lema de Farkas (en evn)]], se tiene que:
\[
\langle \phi, \cdot\rangle =\sum_{i=1}^k \lambda_i\langle x_i, \cdot\rangle
\]
Es decir:
\[
\phi(f) =\left\langle f, \sum_{i=1}^k \lambda_i x_i\right\rangle
\]
Tomando $$x_0 = \sum_{i=1}^k \lambda_i x_i$$, se tiene lo pedido.
!!!b)
Sean $$A , B\subseteq E^*$$ dos convexos no vacíos disjuntos, con $$A$$ un abierto débil-*. Pruebe que existe $$x\in E\setminus\{0\}$$ y $$\alpha\in\R$$ tales que su [[Hiperplano]] definido separa a $$A$$ de $$B$$
!!!Solución
De inmediata aplicación de [[Teorema de Hahn-Banach Geométrico Primera Forma]] se tiene que existe $$f\in E^{**}, \alpha\in\R$$ tales que para cada par de funciones $$(f_a, f_b)\in A\times B$$:
\[
\langle f^{**}, f_a\rangle \leq \alpha\leq \langle f^{**}, f_b\rangle
\]
Luego, sea $$V$$ una vecindad débil-*, sin pérdida de generalidad, de $$A$$. En $$A$$ se tiene que $$f^{**}$$ es acotada en $$A$$ por $$\alpha$$, por lo cual lo es en $$V$$, por lo cual es contínua.
Así, de la parte anterior, consideramos $$x$$ tal que $$\langle f^{**}, f\rangle = \langle f, x\rangle$$, de manera que:
\[
\langle f_a, x\rangle \leq \alpha\leq \langle f_b, x\rangle
\]
Logrando la separación.
!!!c)
Suponer que $$A \subseteq E^*$$ es un cerrado débil-* y $$B\subseteq$$ es un compacto débil-*. Probar que $$A+B$$ es un cerrado débil-*.
!!!Solución
La idea es ocupar redes, pues se comportarán bien. Entonces, sea $$(a_\lambda + b_\lambda)_{\lambda\in\Lambda}\in A+B$$ débil-* convergente a $$x$$
Como $$B$$ es débil-* compacto, existe una subred $$b_\mu\rightharpoonup^* b\in B$$.
En particular, $$a_\mu \rightharpoonup^* x - b$$. Por débil-* cerradura de $$A$$, se tiene que $$x - b\in A$$.
Por último, $$x = (x-b)+b\in A + B$$, por lo cual se tiene la compacidad.
!!!d)
Sean $$A, B\subseteq E^*$$ convexos no vacíos disjuntos, con $$A$$ cerrado débil-* y $$B$$ un compacto débil-*. Probar que existe un $$x\in E\setminus \{0\}$$ y $$\beta\in\R$$ tal que para cada par de funciones $$(f, g)\in A\times B$$ se tiene:
\[
\langle f, x\rangle< \beta<\langle g, x\rangle
\]
!!!Solución
Como $$A$$ es débil-* cerrado y $$-B$$ débil-* compacto, se tiene que $$A-B$$ es débil-* cerrado por la parte anterior.
Más aún, como $$A\cap B=\varnothing$$, se tiene que $$0\notin A-B$$. Entonces, existe una vecindad $$V$$ de 0 tal que $$V\cap (A-B)=\varnothing$$, que sin pérdida de generalidad, se puede tomar fuertemente abierta y convexa.
De la parte b), se puede separar $$V$$ de $$A-B$$, de forma que existen $$x\in E, \alpha\in\R$$ tales que para todo par de funciones $$(f, g_a-g_b)\in V\times (A-B)$$ se tiene:
\[
\langle f, x\rangle \leq \alpha\leq \langle g_a - g_b, x\rangle
\]
Como $$V$$ es fuertemente abierto, se tiene que existe $$r>0$$ tal que $$B^*(r)\subseteq V$$. Entonces, considerar:
\[
f = \frac{lr}{\Vert x\Vert}
\]
Con $$l$$ el dado por [[Funcional de soporte]]. Luego, se tiene que:
\[
0 < \langle f, x\rangle = r\Vert x\Vert \leq \langle g_a - g_b, x\rangle
\]
Despejando:
\[
\langle g_b, x\rangle < r \Vert x\Vert + \langle g_b, x\rangle \leq \langle g_a, x\rangle
\]
Para cada para $$(g_a, g_b)\in A\times B$$.
Finalmente, como $$B$$ es débil-* compacto, y $$\langle \cdot, x\rangle$$ es débil-* contínua, se tiene que esta logra un máximo $$M$$. Por tanto, basta tomar $$\beta= r\Vert x\Vert + M > 0$$ se tiene lo pedido.
[[21/04/30]]
!!Resumen
* [[La recurrencia es propiedad de clase]]
* Corolarios de [[Clase 10 Markov: Recurrencia de clases y cadenas; medida invariante]]
* [[Medida invariante discreta]]
* [[Recurrente positivo]]
* [[Existencia de estado recurrente positivo]]
!!P1: Versión alternativa
Demostrar el [[Criterio algebraico de recurrencia versión 2]]
!!P2: Teoría de colas
Considere una cola de atención de clientes a tiempos discretos, donde cada instante se denota por $$n\in \N$$. En cada instante llega un cliente con probabilidad $$p\in(0, 1)$$ y no llegan clientes con probabilidad $$1 − p$$. Durante
cada intervalo de tiempo en que hay al menos un cliente en la cola, un cliente es atendido y sale de la cola con probabilidad
$$q \in (0, 1)$$ y no se va ningñun cliente con probabilidad $$1−q$$. Denote por $$X_n$$ la cantidad de clientes en la cola en el instante $$n$$.
!!!a)
Escriba $$X_n$$ como $$X_n = F(Y_n,Z_n)$$ explicitamente en terminos de v.a. $$(Y_n)$$ i.i.d Bernoulli(p) y $$(Z_n)$$ i.i.d Bernoulli(q)
independientes entre si. Justifique que $$(X_n)$$ es [[Cadena irreducible]].
!!!Solución
$$Y_n$$ será la [[Variable aleatoria]] que indica cuantos nuevos clientes entraron en el instante $$n$$, e $$Z_n$$ cuantos salieron. De esta forma, se tiene que para $$n>0$$:
\[
X_n = X_{n-1} + Y_n - Z_n1_{X_{n-1} >0}
\]
Se verá que $$0$$ se comunica con todos los estados $$\N$$. Su matriz de transición está dada por:
\[
P_{ij} = \begin{cases}
p(1-q) &\text{ si } j=i+1\\
q(1-p) &\text{ si } j=i-1\\
pq + (1-p)(1-q) &\text{ si } j=i\neq 0\\
1-p &\text{ si } j=i=0\\
0 &\sim
\end{cases}
\]
Entonces:
\[
p_{0i}^{(i)} \geq p_{01}p_{02}\ldotsp_{i-1i} = p^i(1-q)^i>0
\]
Por lo cual $$0\to i$$. Además:
\[
p_{i0}^{(i)} \geq p_{ii-1}p_{i-1i-2}\ldotsp_{10} = q^i(1-p)^i>0
\]
Por lo cual $$i\to 0$$. Entonces, se tiene que $$0\leftrightarrow i$$. Es decir, $$X$$ es irreducible.
!!!b)
Vea que en el caso $$p > q$$ la cadena es transiente. Para ello muestre que $$X_n$$ diverge c.s.
!!!Solución
Primero, uno nota la siguiente desigualdad:
\[
-Z_n 1_{X_{n-1}>0} + Y_n \geq -Z_n+ Y_n
\]
Sumando para todo $$k < n$$:
\[
X_n - X_0 \geq \sum_{k < n}(-Z_n+ Y_n)
\]
Luego, definiendo:
\[
W_n := X_0 + \sum_{k < n}(-Z_n+ Y_n)
\]
Se tendrá que:
\[
X_n \geq W_n
\]
Luego, por la ley de los grandes números se nota que:
\[
\frac{W_n}{n} \to -\E(Z_N) + \E(Y_n) = p - q > 0
\]
Por lo cual se debe tener que $$W_n\to\infty$$ casi seguramente, deduciendo que $$X_n\to\infty$$ casi seguramente, por lo cual es transiente.
!!!c)
Muestre que en el caso $$p = q$$ la medida:
\[
\mu = (1-p, 1, 1, \ldots)
\]
cumple la condición de invarianza. ¿Puede ser la medida anterior una distribución invariante?
!!!Solución
Se irán calculando los valores de $$\mu P$$. Primero, se ve el caso $$j=0$$:
\[
\begin{aligned}
(\mu P)_0 &= \sum_{i\in I} \mu_i p_{i0}\\
&= \mu_0p_{00} + \mu_1p_{10} + \sum_{i>1}\mu_i p_{i0}\\
&= (1-p)(1-p)+ 1\cdot q(1-p) + 0\\
&= (1-p)^2 + q(1-p)
\end{aligned}
\]
Recordando que $$q=p$$:
\[
(\mu P)_0 = 1 - 2p + p^2 + p - p^2 = 1 - p = \mu_0
\]
[[Ejercicio Pendiente]]: Ver el caso $$j=1$$.
Continuamos con $$j > 1$$
\[
\begin{aligned}
(\mu P)_j &= \sum_{i\in I} \mu_i p_{ij}\\
&= \mu_{j-1}p_{j-1j} + \mu_jp_{jj} + \mu_{j+1}p_{j+1j}\\
&= 1\cdot p(1-q) + 1\cdot (pq + (1-p)(1-q)) + 1\cdot q(1-p)\\
&= p(1-p) + (p^2+ (1-p)^2) + p(1-p)\\
&= 2p(1-p) + p^2+ (1-p)^2\\
&= 2p - 2p^2 + p^2 + 1 - 2p + p^2\\
&= 1 \\
&= \mu_j
\end{aligned}
\]
!!!d)
Considere el caso en que $$p < q$$, vea que la medida μ definida por:
\[
\begin{aligned}
\mu_0 &= \frac{q-p}{q}\\
\mu_n &= \left(\frac{p(1-q)}{q(1-p)}\right)^n\frac{q-p}{q(1-q)}
\end{aligned}
\]
es invariante.
!!!Solución
[[21/05/04]]
!!Contenidos:
* [[Topología débil-*]]
* [[Espacio separable]]
* [[Espacio reflexivo]]
!!''P1''
Sea E un espacio de Banach. Muestre que $$(\bar{B}_E; \sigma(E,E^*))$$ es metrizable ssi $$E^*$$ es separable.
Para la implicancia de derecha a izquierda, siga el siguiente procedimiento. Sea $$d(x, y)$$ la metrica de$$B_E$$
que induce la misma topología que $$\sigma(E,E^*)$$. Considere:
\[
U_n = \left\{x\in B_E: d(x, 0)<\frac{1}{n}\right\}
\]
Sean $$V_n$$ vecindades del 0 tal que $$V_n\subseteq U_n$$, se puede asumir:
\[
V_n = \{x\in E: |\langle f, x\rangle|<\epsilon_n\, \forall f\in \phi_n\}
\]
Sea $$F =\text{span}(\bigcup_n U_n)$$. Suponga que $$\overline F\neq E^*$$
!!!''1''
Pruebe que $$\xi\in E^{**}$$ y un $$f_0\in E^*$$^tales que:
\[
\begin{aligned}
\langle \xi, f_0\rangle &>1\\
\langle \xi, f\rangle &= 0\,: \forall f\in F\\
\Vert \xi\Vert &\leq 1
\end{aligned}
\]
!!!__Solución__
!!!''2''
Considerar:
\[
W = \left\{x\in B_E: |\langle f_0, x\rangle| \right\}
\]
Pruebe que para algun $$n_0\geq 1$$, se tiene que $$V_{n_0}\subseteq W$$.
!!!__Solución__
!!!''3''
Pruebe que existe un $$x_1\in B_E$$ tal que:
\[
\begin{aligned}
|\langle f, x_1\rangle - \langle \xi, f\rangle| &<\epsilon\, : \forall f\in \phi_n\\
|\langle f_0, x_1\rangle - \langle \xi, f_0\rangle| &<\frac{1}{2}
\end{aligned}
\]
!!!__Solución__
!!!''4''
Deduzca que $$x_1\in V_{n_0}$$ y $$\langle f_0, x_1\rangle>\frac{1}{2}$$.
!!!__Solución__
!!P2
Sea $$X$$ un espacio de Banach separable y $$\hat x\in X^{**}$$. Supongamos que para cualquier sucesión $$(f_n)\subseteq X^*$$ débil-* convergente a $$f$$ se tiene qe $$\hat x(f_n)$$ converge a $$\hat x(f)$$. Demostrar que $$\hat x\in J(X)$$
!!__Solución__
[[21/05/07]]
!!Resumen
* [[Medida invariante discreta]]
* [[Distribución invariante]]
* [[Recurrente positivo]]
* [[Recurrente positivo]]
* [[Existencia de estado recurrente positivo]]
* [[Número esperado de visitas a i antes de volver a k]]
* [[Propiedades de número esperado de visitas a i antes de volver a k]]
!!P1: Paseo aleatorio en un grafo
Sea $$G=(E, V)$$ un grafo conexo con $$|V|\in\N_+$$. Se define el paseo aleatorio en el grafo $$G$$ como la [[Cadena de Markov]]
$$X$$ con [[Matriz de transición]]:
\[
p_{ij} = \begin{cases} \frac{1}{v_i} &\text{ si } ij\in E\\ 0 &\sim\end{cases}
\]
Con $$v_i$$ el número de aristas del vértice $$i$$.
!!a)
Se define $$v = (v_i: i\in G)$$. Demuestre que $$v$$ es medida invariante y concluya que si $$\sigma = \sum_{i\in V} v_i$$, entonces $$\pi = \frac{v}{\sigma}$$ es distrivuciín invariante.
''Obs''
Note que $$v$$ también sería medida invariante para el caso $$V$$ numerable. En este caso, ¿podría $$X$$ ser recurrente positivo?
!!Solución
Calculando el producto:
\[
\begin{aligned}
(vP)_j &= \sum_{i\in V} v_i p_{ij}\\
&= \sum_{i\in V} v_i \frac{1}{v_i}1_{ij\in E}\\
&= \sum_{i\in V} 1_{ij\in E}\\
&= v_j
\end{aligned}
\]
Por lo cual se tiene que $$vP = v$$, concluyendo que es medida invariante.
Luego:
\[
\sum_{i\in V} \pi_i = \sum_{i\in V} \frac{v_i}{\sigma} = \frac{1}{\sigma}\sum_{i\in V} v_i = \frac{1}{\sigma}\sigma = 1
\]
Por lo cual $$\pi$$ es distribución invariante. Notar que este paso depende de que $$V$$ sea finito, pues de otra forma no se logra la cancelación.
!!b)
Ahora el grafo $$G$$ está dado por un cubo. Sea $$i$$ el vértice donde comienza $$X$$ y $$o$$ su opuesto. Calcular:
!!! 1. La esperanza de la cantidad de pasos antes de volver a $$i$$
!!!Solución
Primero uno nota que esto está dado por la esperanza $$\E_i(\tau_i)$$. Pero ya sabemos la relación de esto con una distribución invariante, por lo que se construirá basándose en la parte anterior.
Primero uno observa que cada vértice tiene tres aristas, por lo cual se tiene que $$v\equiv 3$$. En particular:
\[
\sigma = \sum_{k\in V} v_j = \sum_{k\in [8]} 3 = 8\cdot 3
\]
Entonces, la distribución $$\pi$$ está dada por:
\[
\pi_i = \frac{v_i}{\sigma} = \frac{3}{ 8\cdot 3} = \frac{1}{8}
\]
En particular, $$\pi\equiv = 8$$. Luego, se tiene que:
\[
\E_i(\tau_i) = \frac{1}{\pi_i} = 8
\]
!!!2 El número esperado de visitas a $$o$$ antes de retornar a $$i$$
!!!Solución
Hay que recordar el [[Número esperado de visitas a i antes de volver a k]] llamado $$\gamma^i$$ justamente cumple lo pedido:
\[
\gamma_o^i = \E_i\left(\sum_{n=0}^{\tau_i-1} 1_{X_n=o}\right)
\]
Pero de las [[Propiedades de número esperado de visitas a i antes de volver a k]] se tiene que es medida invariante. Por [[Unicidad de las medidas invariantes salvo múltiplo]] se tiene que $$\gamma^i = \frac{\pi}{\pi_i}$$.
En particular, recordando que $$\pi \equiv \frac{1}{8}$$, se tiene que $$\gamma^i = 1$$. Por lo tanto, se tiene que $$\gamma^i_o = 1$$, que es lo buscado.
!!c)
Considere ahora una variable $$Z\sim \text{Geom}(p)$$ con $$p\in(0, 1)$$ y un grafo aleatorio $$G$$ con $$V= [Z]$$ y $$ij\in E \iff j = i+1$$ (es decir, el grado es una línea recta de tamaño $$Z$$). Sobre este grafo se realiza un paseo aleatorio $$X$$ partiendo de $$i$$. Calcular la esperanza de la cantidad
de pasos antes de volver al extremo $$i = 1$$.
!!Solución
Primero, fijemos $$Z=n$$
Ahora, se tiene que la medida estará dada por $$v = \left(1, 2, 2,\ldots, 2, 1\right)$$. En particular:
\[
\sigma = \sum_{v\in V} v_i = 2 + \sum_{v = 2}^{n-1}2 = 2(n-1)
\]
Por lo cual se tiene:
\[
\pi_1 = \pi_n = \frac{1}{\sigma} = \frac{1}{2(n+1)}
\]
Y entonces:
\[
\E_1(\tau_1|Z=n) = 2(n-1)
\]
Ahora hay que ver el caso general:
\[
\E_1(\tau_1) = \E_1(\E(\tau_1|Z))
\]
Pero con esperanzas totales:
\[
\E_1(\tau_1) = \E_1\left(\sum_{n\geq 1} \E(\tau_1|Z=n)1_{Z=n}\right)
\]
Usando ahora el caso particular:
\[
\begin{aligned}
\E_1(\tau_1) &= \E_1\left(\sum_{n\geq 1}2(n-1)1_{Z=n}\right)\\
&= \sum_{n\geq 1}2(n-1)\E_1(1_{Z=n})\\
&= 2\sum_{n\geq 1}(n-1)\P_1(Z=n)\\
\end{aligned}
\]
Más aún, se tiene que empezar en 1 es independiente del valor de $$Z$$, por lo cual $$\P_i$$ se puede reemplazar por $$\P$$. Esto también se puede justifcar con [[Teorema de Bayes]]:
\[
\begin{aligned}
\P_1(Z=n) &= \P(Z=n|X_0= 1)\\
&= \frac{\P(X_0=1|Z=n)}{\P(X_0=1)}\P(Z=n)\\
\end{aligned}
\]
Pero está impuesto que $$X_0=1$$ dado $$Z$$, por lo cual se tiene que:
\[
\begin{aligned}
\P_1(Z=n) &= \frac{\P(Z=n)}{\P(X_0=1)}\\
&= \frac{\P(Z=n)}{\sum_{j\geq 1}\P(X_0=1|Z=j)\P(Z=j)}\\
&= \frac{\P(Z=n)}{\sum_{j\geq 1}\P(Z=j)}\\
&= \P(Z=n)
\end{aligned}
\]
Por lo cual se tiene que:
\[
\E_1(\tau_1) = 2\sum_{n\geq 1}(n-1)\P(Z=n)
\]
Pero viendo toda la suma, uno puede notar que:
\[
\E_1(\tau_1) = 2\E(Z-1) = 2(\E(Z)-1)
\]
Por último, basta recordar que $$Z$$ distribuye geométrica:
\[
\E_1(\tau_1) = 2\left(\frac{1}{p} - 1\right)
\]
!!d)
Considere un tablero de ajedrez y sobre el cual un rey se mueve de forma aleatoria, cada uno de los
movimientos permitidos tienen la misma probabilidad, si el rey parte en un vértice. Calcule:
# El número de pasos esperados antes de que vuelva a dicho vértice.
# El número de visitas esperadas al vértice contrario antes de volver al vértice original.
!!Solución: [[Ejercicio Pendiente]]
[[21/06/03]]
!!Álgebra lineal:
* [[Determinante de una matriz]]
* [[Matriz entera con inversa entera]]
* [[Matriz unimodular]]
* [[Matriz totalmente unimodular]]
* [[Matriz de incidencia]]
!!P1
Demostrar que:
\[
A \text{ es TU } \iff [A|I]\text{ es UNI }
\]
!!P2: [[Hoffman-Kurskal]]
!!P3: [[Caracterizar grafo bipartito con matriz de incidencia]]
[[21/05/11]]
!!''P1''
Diremos que un espacio de Banach $$E$$ es uniformemente convexo si para todo $$\epsilon> 0$$ existe $$\delta > 0$$ tal
que:
\[
\forall x, y\in B_E, \Vert x - y\Vert >\epsilon\implies \left\Vert\frac{x+y}{2}\right\Vert<1-\delta
\]
Ejemplo: $$\R^2$$ es uniformemente convexo bajo la norma $$p$$ para $$1<p<\infty$$, pero no para $$p\in \{1, \infty\}$$
!!!''a)''
Sea $$\xi\in \partial B_{E^{**}}$$. Demostrar que para todo $$\epsilon > 0$$ existe un $$x\in B_E$$ tal que:
\[
\Vert \xi - J(x) \Vert \leq \epsilon
\]
!!!__Solución__
Sea $$\epsilon > 0$$, y sea $$\delta>0$$ uno dado por la uniforme convexidad.
Dado que $$\xi\in \partial B_{E^{**}}$$, por [[Teorema de Hahn-Banach Analítico]] existe $$f\in\partial B_{E^*}$$
tal que:
\[
\langle \xi, f\rangle > 1 - \frac{\epsilon}{2}
\]
Considerar la vecindad de $$\xi$$ en la [[Topología débil]]
\[
V := \left\{r\in E^{**}: |\langle r-\xi, f\rangle|<\frac{\delta}{2}\right\}
\]
Como $$J(B_E)$$ es denso en $$B_{E^{**}}$$ en la [[Topología débil-*]], se tiene que:
\[
V\cap J(\lambda B_E + y) \neq \varnothing
\]
Entonces, sea $$x\in E$$ tal que $$J(x)\in V$$, SPDG, $$\Vert x \Vert = 1$$. Se demostrará que este es el que nos sirve. Por contrarrecíproca, tomemos:
\[
\Vert\xi -J(x) \Vert > \epsilon
\]
En particular, $$\xi \in (J(x) + \epsilon B_{E^{**}})^C=: W$$.
Notamos que $$W^C$$ es cerrado por [[Teorema de Banach-Alaoglu]], y por lo tanto $$W$$ es abierto. Luego, existe $$y\in E$$ con $$J(y) \in W\cap V$$
Así, $$J(x)\notin W\implies x\neq y$$ pero $$J(x), J(y) \in V$$, es decir:
\[
\begin{aligned}
|\langle J(x)-\xi, f\rangle|&<\frac{\delta}{2} \implies -\frac{\delta}{2}< |\langle J(x)-\xi, f\rangle|\\
|\langle J(y)-\xi, f\rangle|&<\frac{\delta}{2} \implies -\frac{\delta}{2} <|\langle J(y)-\xi, f\rangle|\\
\end{aligned}
\]
Sumando estas dos
\[
-\delta < |\langle J(x)-\xi, f\rangle| + |\langle J(y)-\xi, f\rangle|
\]
con manejos [[Pendiente]]s a completar:
\[
2\langle \xi, f\rangle < \langle f, x+y\rangle + \delta \leq \Vert x+ y\Vert + \delta
\]
Pero por la desigualdad que define a $$f$$, se tiene que:
\[
2-\delta \leq \Vert x + y \Vert + \delta \implies \frac{\Vert x + y \Vert }{2} \geq 1 - \delta
\]
Esto nos dice que el espacio no es uniformemente convexo. Por contrarrecíproca, se concluye.
!!!''b)''
Concluya que todo espacio de Banach uniformemente convexo es reflexivo.
!!!__Solución__
Sea $$\xi \in \delta B_{E^{**}}$$. Recordemos que como $$J$$ es isometría, $$J(B_E)$$ es $$\Vert\cdot\Vert$$-cerrado.
Sea $$n\in N$$, de la parte a) existe $$x_n\in J(B_E)$$ con $$\Vert x_n-\xi\Vert < \frac{1}{n}$$.
Luego, $$x_n\to \xi$$, por lo cual $$\xi\in J(B_E)$$. Por [[Caracterización de reflexividad]] se concluye lo pedido.
!!''P2''
Sea $$X$$ un espacio de Banach.
!!!''a)''
Sea $$A$$ un subconjunto acotado de $$X$$. Entonces $$\overline A^{\sigma(X^{**}, X^*)}$$ es $$\sigma(X, X^*)$$-compascto ssi $$\overline A^{\sigma(X^{**}, X^*)}\subseteq X$$
!!!__Solución__
$$(\implies)$$ Sabemos que $$J:X\to X^{**}$$ es $$\sigma(X, X^*)-\sigma(X^{**}, X^*)$$ contínua. Entonces, $$J(\overline A^{\sigma(X^{**}, X^*)})$$ es $$\sigma(X^{**}, X^*)$$-cerrado,
Pero abusanfo notación se tiene que $$A\subseteq J(\overline A^{\sigma(X^{**}, X^*)})$$. Por definición de clausura, se tiene que
\[
\overline A^{\sigma(X^{**}, X^*)}\subseteq J(\overline A^{\sigma(X^{**}, X^*)}) \subseteq X
\]
$$(\impliedby)$$
[[21/05/14]]
!!Resumen
* [[Convergencia al equilibrio]]
* [[Cadena reversible]]
* [[Balance detallado]]
* [[Balance detallado implica invarianza]]
* [[Caracterización de reversibilidad]]
!!P1: [[Convergencia con un estado recurrente aperiódico]]
!!P2: Modelo de difusón de Bernoulli-Laplace
$$r$$ esferas blancas y $$r$$ esferas negras (con $$r>1$$) son repartidas en dos urnas (o recipientes) bajo la condición que cada urna posee $$r$$ bolitas. El estado $$X$$ del sistema representa la cantidad de esferas blancas en la primera urna (suponga que las urnas están numeradas). Suponga que el conjunto de estados de esta cadena es $$[r]$$ y que en cada etapa, una esfera es escogida de cada urna (al azar) y son intercambiadas.
* Encuentre la matriz de transición $$P$$ para $$X$$. ¿Es irreducible? ¿Aperiódica?
* Utilice balance detallado para encontrar la distribución invariante de esta cadena.
!!Solución
Sea $$i \in (0, r)$$, estudiamos $$p_{ij}$$.
Si la cantidad de bolas blancas aumenta en 1 ($$j=i+1$$), es necesario que la bola de la primera urna haya sido negra (con probabilidad $$\frac{r-i}{r}$$) y que de la segunda urna haya sido blanca (con probabilidad $$\frac{r-i}{r}$$). Por independencia, se tiene:
\[
p_{ii+1} = \left(\frac{r-i}{r}\right)^2
\]
De forma análoga, si la cantidad de bolas blancas disminuye en 1, tiene que haberse elegido una blanca en la urna 1 y una negra en la urna dos, teniendo:
\[
p_{ii-1} = \left(\frac{i}{r}\right)^2
\]
Por último, hay dos maneras disjuntas de quedar con la misma cantidad de bolas, que es que en ambas salga negra o en ambas blanca, es decir:
\[
p_{ii} = \frac{i(r-i)}{r^2} + \frac{(r-i)i}{r^2} = \frac{2i(r-i)}{r^2}
\]
Y otros casos son imposibles, pues la cantidad de bolas blancas no cambia en más de uno. De forma compacta:
\[
p_{ij} = \begin{cases}
\left(\frac{r-i}{r}\right)^2 &\text{ si } j = i+1\\
\left(\frac{i}{r}\right)^2 &\text{ si } j = i-1\\
\frac{2i(r-i)}{r^2} &\text{ si } j = i\\
0 &\sim
\end{cases}
\]
Ahora, para los casos extremos:
* $$i=r$$: Todas las esferas blancas están en la primera urna, por lo cual está garantizado que va a disminuir la cantidad de bolas blancas en 1, es decir, $$p_{01}= 1$$
* $$i=r$$: Análogamente, $$p_{rr-1}= 1$$
Y justamente cumple la matriz de la forma compacta, por lo que no hay que modificarla.
Esto ya nos permite ver que la cadena es irreducible, y como $$p_{11}>0$$ entonces es aperiódica.
Primero se verá alguna medida que cumpla balance detallado, tomando $$j=i+1$$ se tiene:
\[
\begin{aligned}
\mu_{i-1}p_{i-1i} &= \mu_i p_{ii-1}\\
\frac{\mu_{i}}{\mu_{i-1} } &= \frac{p_{i-1i}}{p_{ii-1} } = \frac{(r-i)^2}{i^2}
\end{aligned}
\]
Calculando el producto hasta $$k\in I$$:
\[
\prod_{i=1}^{k}\frac{\mu_{i}}{\mu_{i-1} } = \prod_{i=1}^k\frac{(r-i)^2}{i^2} = \left( \prod_{i=0}^k\frac{r-i}{i}\right)^2
\]
En el lado izquierdo se usa la propiedad telescópica:
\[
\frac{\mu_{k}}{\mu_0} = \frac{1}{(k!)^2}\left( \prod_{i=0}^k r-i\right)^2 = \frac{1}{(k!)^2}\left(\frac{r!}{(r-k)!}\right)^2 = \begin{pmatrix} r\\ k\end{pmatrix}^2
\]
Obteniendo la ecuación
\[
\mu_k = \mu_0\begin{pmatrix} r\\ k\end{pmatrix}^2
\]
Para resolverla, ahora se impone que sea además distribución:
\[
\begin{aligned}
1 &= \sum_{k=0}^r \mu_k\\
&= \sum_{k=0}^r \mu_0\begin{pmatrix} r\\ k\end{pmatrix}^2 \\
&=\mu_0\begin{pmatrix} 2r\\ k\end{pmatrix}^2 \\
\end{aligned}
\]
Resolviendo, se tiene que:
\[
\mu_0 = \frac{1}{\begin{pmatrix} 2r\\ k\end{pmatrix}^2}
\]
Y por lo tanto, si existe una distribución balance detallado (y por tanto invariante), y está dada por:
\[
\mu_k = \frac{\begin{pmatrix} r\\ k\end{pmatrix}^2}{\begin{pmatrix} 2r\\ k\end{pmatrix}^2}
\]
!!P3: Caso recurrente nulo
Sea $$X$$ una cadena de Markov irreducible, aperiódica y recurrente nula. La idea de este
problema sera probar que:
\[
\lim_{n\to\infty} \P(X_n=j)=0
\]
Para ello se procede como sigue:
* Para $$\epsilon>0$$, probar que existe $$K$$ tal que:
\[
\sum_{j=0}^{K-1}\P_i(\tau_i>j) \geq \frac{2}{\epsilon}
\]
* Sea $$n\geq K-1$$. Estudiando el valor de:
\[
\sum_{j=n-(K-1)}^n \P(X_j=i, X_m\neq i \text{ para } , m\in [j+1, n]
\]
Pruebe que para algún $$j\in[K-1]$$ se cumple:
\[\P(X_{n-j}=i)\leq \frac{\epsilon}{2}\]
De ahora en adelante usaremos un argumento de coupling. Para eso defina $$Y \sim CM(μ, P)$$ independiente de $$X$$
y con μ una distribución a determinar, y considere la cadena $$W = (X, Y)$$. Se vio en clases que como $$X$$ es irreducible
y aperiódica, entonces $$W$$ es irreducible.
* Pruebe el resultado en el caso en que $$W$$ es transiente.
* Asuma que $$W$$ es recurrente. Escoja μ adecuadamente y use el argumento de [[Coupling]] para concluir que para algún $$j\in [K]$$ y todo $$n$$ suficientemente grande se tiene:
\[
|\P(X_n=i)-\P(X_{n+j}=i)|\leq\frac{\epsilon}{2}
\]
Y con esto concluir.
!!Solución
Como la cadena es recurrente nula, se tiene que lo siguiente:
\[
\infty = \E_i(\tau_i) = \sum_{j\in \N} \P_i(\tau_i>j)
\]
En particular, para cualquier cota $$\frac{2}{\epsilon}$$, debe existir un $$K$$ que cumpla la desigualdad pedida.
Primero, hay que notar que los eventos:
\[
\begin{aligned}
\{X_j=i, X_m\neq i \text{ para } m\in [j+1, n]\}
\end{aligned}
\]
Son todos disjuntos al indexar por $$j$$. En particular:
\[
\begin{aligned}
1 &\geq \P\left(\bigcupdot_{j = n - K + 1}^n\{X_j=i, X_m\neq i \text{ para } m\in [j+1, n]\}\right)\\
&\geq \sum_{j = n - K + 1}^n\P(X_j=i, X_m\neq i \text{ para } m\in [j+1, n])\\
&= \sum_{j = n - K + 1}^n\P(X_m\neq i \text{ para } m\in [j+1, n]\}|X_j=i)\P(X_j=i)\\
\end{aligned}
\]
Más aún, se puede usar [[Propiedad de Markov débil]], se tiene:
\[
\begin{aligned}
1 &\geq \sum_{j = n - K + 1}^n\P(X_m\neq i \text{ para } m\in [1, n-j])\P(X_j=i)\\
&= \sum_{j = n - K + 1}^n\P(\tau_i > n -j)\P(X_j=i)\\
&= \sum_{j = 0}^{K-1}\P(\tau_i > j)\P(X_{n-j}=i)\\
\end{aligned}
\]
Supongamos, buscando contradicción, que para cada $$j\in[K-1]$$ se tiene que $$\P(X_{n-j}=i)>\frac{\epsilon}{2}$$. En ese caso se tiene que:
\[
1 > \frac{\epsilon}{2}\sum_{j = 0}^{K-1}\P(\tau_i > j) \implies \sum_{j = 0}^{K-1}\P(\tau_i > j) > \frac{2}{\epsilon}
\]
Lo cual contradice la parte anterior, por lo cual debe existir algún $$j$$ tal que $$\P(X_{n-j}=i)\leq\frac{\epsilon}{2}$$.
Ahora, tomemos $$W$$ transiente. [[Pendiente]]
[[21/06/17]]
!!''P1) Propiedades de una [[Matriz totalmente unimodular]]''
Pruebe que si $$A$$ es TU, entonces:
!!!''a)''
Cada submatriz cuadrada invertible de $$A$$ tiene una fila con un número impar de coordenadas no nulas
''Hint'': Use el [[Teorema de Ghouila-Houri]].
!!!__Solución__
Consideremos $$B$$ una submatriz cuadrada tal que sus filas tienen una cantidad par de coordenadas no nulas.
Entonces, considerar la partición G-H dada por el vector indicatriz $$x\in \{-1, 1\}^n$$ tal que $$Bx\in \{-1, 0, 1\}^m$$.
Ahora, como las filas de $$B$$ son par, el resultado de la partición es $$Bx = 0$$ con $$x\neq 0$$, es decir, $$B$$ no es invertible.
Por contrarrecíproca, se tiene lo pedido.
!!!''b)''
Si C es submatriz cuadrada de A tal que la suma sobre las filas y sobre las columnas de C es par, entonces la suma sobre todo C es divisible por 4.
!!!__Solución__
De la parte 1, se particiona C en $$B_1, B_2$$ de manera que la discrepeancia de cada gila sea $$0$$, es decir, la suma de las columnas de $$B_1$$ y de $$B_2$$ deben ser iguales.
Más aún, como la suma de cada columna es par, por lo que la suma de cada partición será par (sean $$2k_1, 2k_2$$). Pero como ya sabíamos que la discrepancia es nula, se tiene que $$k_1=k_2$$, es decir, la suma de componentes de $$C$$ es $$2k+2k=4k$$, que es divisible por 4.
''Obs'': En ambos casos, la recíproca es cierta
!!''P2) PL y TU''
!!!''a)''
Sea $$A\in \R^{m\times n}$$ matriz a coeficientes en $$\{0,±1\}$$. Pruebe que si para todo $$j\in[n]$$ la j-ésima
columna de $$A$$ contiene a lo más un +1 y a lo más un −1, entonces $$A$$ es totalmente unimodular.
!!!__Solución__
Sea $$J$$ un subconjunto cualquiera de columnas de $$A$$. Considerar la partición $$J_1 = J, J_2=\varnothing$$.
Se nota que todas las sumas posibles de columnas son $$\{0, \pm 1\}$$, G-H garantiza que es unimodular.
!!!''b)''
Sean $$G = (V,E)$$ grafo, $$ s \in V$$, $$V' = V \ {s}$$ y $$E' = E \ \delta_{E}(s)$$. Pruebe que para cualquier
$$t\in V', x^*\in\R_+^{E'}, y\in\R^{V'}$$, el siguiente PL admite una solución óptima integral:
\[
\begin{aligned}
&\max_{w, z}\, \sum_{e\in E'}x_e^*w_e - \sum_{V'\setminus \{v\}} y_v^*z_v\\
&w_e \leq \min\{z_u, z_w\} &\forall e=(u, v)\in E'\\
&w_e \geq z_u + z_v -1 &\forall e=(u, v)\in E'\\
&z_t=1\\
&w\in [0, 1]^{E'}\\
&z\in [0, 1]^{V'}
\end{aligned}
\]
''Hint'': Elimine restricciones innecesarias y estudie el PL resultante.
!!!__Solución__
La única restricción válida a eliminar es $$w_e \geq z_u + z_v -1$$, pues la segunda restricción se cumple siempre con igualdad, pues es un problema de maximización, y se quiere maximizar una función creciente en $$w$$. Se tiene:
\[
\begin{aligned}
&\max_{w, z}\, \sum_{e\in E'}x_e^*w_e - \sum_{V'\setminus \{v\}} y_v^*z_v\\
&w_e \leq z_u; w_e \leq z_v &\forall e=(u, v)\in E'\\
&z_t=1\\
&w\in [0, 1]^{E'}\\
&z\in [0, 1]^{V'}
\end{aligned}
\]
Es claro que hay una solución factible, tomando $$w\equiv 1, z\equiv 1$$. Más aún, el conjunto factible es acotado, por lo que hay una cantidad finita de soluciones factibles integrales.
Ahora, escribiendo en forma estándar:
\[
\begin{aligned}
&\max_{w, z}\, \sum_{e\in E'}x_e^*w_e - \sum_{V'\setminus \{v\}} y_v^*z_v\\
&w_e -z_u\leq 0; w_e -z_v\leq 0&\forall e=(u, v)\in E'\\
&z_t=1\\
&w\in [0, 1]^{E'}\\
&z\in [0, 1]^{V'}
\end{aligned}
\]
Entonces, la matriz de restricciones cumple la condición del ejercicio anterior, por lo cual totalmente unimodular.
Ahora, por teorema de [[Hoffman-Kurskal]] lo pedido.
[[21/05/25]]
!!Contenidos:
* [[Espacio de Hilbert]]
!!''P1) Bases ortonormales en un espacio de Hilbert''
!!! ''a)'' [[Espacios de Hilbert tienen base ortonormal]]
!!! ''b)''
Para un conjunto $$\Gamma\neq\varnothing$$ definimos el espacio vectorial:
\[
\ell^2(\Gamma, \C) := \left\{(x_\gamma)_{\gamma\in\Gamma}\subseteq\C: \sum_{\gamma\in\Gamma}|x_\gamma|^2:= \sup_{F\in\Pel_F(\Gamma)}\, \sum_{\gamma\in F}|x_\gamma|^2<\infty\right\}
\]
Dotado del producto interno:
\[
((x_\gamma, y_\gamma)) := \sum_{\gamma\in\Gamma} x_\gamma\overline{y_\gamma}
\]
Que lo vuelve un espacio de Hilbert. Notar que todo elemento tiene soporte numerable. Sea $$H$$ un espacio de Hilbert y $$\{u_\gamma\}$$ un conjunto ortonormal. Demostrar que los siguientes son equivalentes:
# $$\{u_\gamma\}$$ es maximal
# $$\langle\{u_\gamma\}\rangle$$ es denso en $$H$$
# [[Identidad de Bessel-Parseval]]
Además, si se cumple cualquiera de estas condiciones, entonces $$H$$ es isomorfo isométrico a $$\ell(\Gamma, \C)$$.
!!!__Solución__
Primero, definamos los siguientes conjuntos:
\[
L_n = \left\{\gamma\in\Gamma: |x_\gamma|^2 >\frac{1}{n}\right\}
\]
De forma que se tenga que:
\[
L = \bigcup_{n\in\N} L_n = \text{sop}(x)
\]
Pero cuando $$|L_n|$$ es infinito, entonces $$\sum_{\gamma\in\Gamma}|x_\gamma|^2$$ diverge. Así, deben ser finitos, por lo cual $$x$$ tiene soporte numerable.
Ahora, a demostrar las equivalencias.
!!!!$$1\implies 2)$$
En la parte a) ya se vió esto.
!!!!$$2\implies 3)$$
Sea $$F\subseteq\Gamma$$ finito.
\[
\begin{aligned}
0 &\geq \left\Vert x - \sum_{\gamma\in F} (x, u_\gamma)u_\gamma\right\Vert^2\\
&= \left( x - \sum_{\gamma\in F} (x, u_\gamma)u_\gamma, x - \sum_{\gamma\in F} (x, u_\gamma)u_\gamma\right)\\
&= (x, x) - \sum_{\gamma\in F}((x, u_\gamma)u_\gamma, x) - \sum_{\gamma\in F}(x, (x, u_\gamma)u_\gamma) + \sum_{\gamma\in F}\sum_{\gamma'\in F}((x + u_\gamma)u_\gamma, x + u_{\gamma'})u_{\gamma'})\\
&= \Vert x\Vert^2 - \sum_{\gamma\in F}(x, u_\gamma)\overline{(x, u_\gamma)} - \sum_{\gamma\in F}(x, u_\gamma)^2+ \sum_{\gamma\in F}(x, u_\gamma)^2(u_\gamma, u_\gamma)^2\\
&= \Vert x\Vert^2 + \sum_{\gamma\in F}|(x, u_\gamma)|^2
\end{aligned}
\]
Demostrando la desigualdad:
\[
\sum_{\gamma\in F}|(x, u_\gamma)|^2 \leq | x|^2
\]
''Observación'' La demostración fue muy general, no se usaron las hipótesis de 2), por lo que se tienen que usar ahora.
Sea $$\epsilon > 0$$. Por hipótesis, existen $$z_i\in\C$$ y $$F$$ finito tales que:
\[
\left|x - \sum_{j\in F} z_ju_j\right|^2<\epsilon
\]
En particular:
\[
\begin{aligned}
\epsilon &> \left(x - \sum_{j\in F} z_ju_j, x - \sum_{j\in F} z_ju_j\right)\\
&= (x, x) - \sum_{j\in F}(z_ju_j, x) - \sum_{j\in F}(x, z_ju_j) + \sum_{j\in F}(z_ju_k, z_ju_j)\\
&= \Vert x\Vert^2 - \sum_{j\in F}z_j(u_j, x) - \sum_{j\in F}\overline{z_j}(x, u_j) + \sum_{j\in F}|z_j|^2\\
&=\Vert x\Vert^2- \sum_{j\in F}z_j(u_j, x) - \overline{z_j}(x, u_j) + |z_j|^2 + (x, u_j)(u_j, x) - |(x, u_j)|^2\\
&=\Vert x\Vert^2- \sum_{j\in F} |z_j - (x, u_j)|^2 - \sum_{j\in F}|(x, u_j)|^2\\
&> \Vert x\Vert^2 - \sum_{j\in F}|(x, u_j)|^2
\end{aligned}
\]
En particular:
\[
\Vert x\Vert^2 < \epsilon + \sum_{j\in F}|(x, u_j)|^2
\]
Tomando $$\sup_F$$ y luego $$\epsilon\to 0$$ se tiene la otra desigualdad:
\[
\Vert x\Vert^2 \leq \sum_{\gamma\in \Gamma}|(x, u_\gamma)|^2
\]
!!!!$$3\implies 1)$$
Por contrarrecíproca, si $$\{u_\gamma\}$$ no son maximales existe un $$p$$ ortonormal a ellos, es decir, se tiene que $$\Vert p\Vert = 1$$, pero además:
\[
\sum_{\gamma\in\Gamma}(p, u_\gamma) = \sum_{\gamma\in\Gamma} 0 = 0
\]
Por lo cual no se cumple la identidad de Parseval.
!!!!Isometría
Se considera $$\phi: H\to\ell^2(\Gamma, \C)$$ dado por $$x\mapsto \phi(x) = \{(x, u_\gamma)\}_{\gamma\in\Gamma}$$.
[[Ejercicio Pendiente]]: Verificar que en efecto $$\phi$$ tiene recorrido correcto.
Ahora, por identidad de Parseval:
\[
\Vert x\Vert^2 = \sum_{\gamma\in\Gamma}|(x, u_\gamma)|^2 = \sum_{\gamma\in\Gamma}|\phi(x)|^2
\]
Por lo cual esta es una isometría. Por linealidad del producto interno, $$\phi$$ es lineal. Las isometrías lineales son inyectivas.
Sea $$y\in\ell^2(\Gamma, \C)$$. Considerar $$x = \sum_{j\in\Gamma} y_ju_j$$, de forma que:
\[
\phi(x)_i = \left(\sum_{j\in\Gamma} y_ju_j, u_i\right) = y_i
\]
Por lo cual $$\phi(x) = y$$, mostrando epiyectividad.
!!''P2) Bases en $$L^2([a, b]^2)$$''
El espacio $$H=L^2([a, b]^2)$$ es de Hilbert con el producto interno:
\[
f\cdot g = \int_a^b \int_a^b f(t, s)\overline{g(t, s)}\,dt\,ds
\]
Sea $$\{\phi_n(t)\}_{n\in\N}$$ una base ortonormal de $$L^2[a, b]$$. Demostrar que $$\{\phi_{i, j}(t)\}_{i, j\in\N^2}$$ es base ortonormal de $$H$$, donde $$\phi_{i, j}(t, s) := \phi_i(t)\phi_j(s)$$
!!__Solución__
!!''P3)''
Considere $$H=L^2[0, 1]$$ dotado del producto interno habitual, sean:
\[
f_1(t)=1, f_2(t)=\sin(t), f_3(t)=e^t
\]
!!!''a)''
Encuentre una base ortonormal para $$V=\langle f_1, f_2, f_3\rangle$$
!!!__Solución__
!!!''b)''
Proyecte sobre $$V$$ la función $$\cos(t)$$
!!!__Solución__
[[21/05/28]]
!!Resumen
* [[Proceso de Poisson]]
* [[Construcción de un proceso de Poisson]]
* Propiedades de [[Clase 16 Markov: Procesos de Poisson]]
* [[Q-matriz]]
!!P1:
A un paradero llegan buses y pasajeros seg´un procesos de Poisson de tasa $$\lambda$$ y μ, respectivamente. Al llegar un bus, todos
los pasajeros que se encuentren esperando se suben instantáneamente a el (i.e. la capacidad del bus es infinita), y los
pasajeros que llegan posteriormente a esperar se suben al siguiente bus. Encuentre la distribución del numero de pasajeros
que se suben al $$m$$-esimo bus.
!!!Solución
Primero, se tiene un proceso de Poisson $$P_t$$ de tasa $$\mu$$, que será la llegada de los pasajeros, y otro $$B_t$$ de tasa $$\lambda$$ que serán los buses que llegan.
Considerar $$J_n$$ los tiempos de llegada del bus, y $$S_n$$ los tiempos de espera del bus.
Luego, se define $$N_m$$ como la cantidad de personas que suben al $$m$$-ésimo bus, cuya distribución queremos encontrar. Nos gustaría relacionar esto con los otros procesos. En particular, uno nota que:
\[
N_m = P_{J_m} - P_{J_{m-1}}
\]
Pues estos son los pasajeros que llegan entre el bus $$m$$, restando los que ya se subieron en un bus anterior.
Luego, uno tiene que:
\[
N_m\sim \text{Poisson}[\mu(J_m-J_{m-1})] = \text{Poisson}[\mu S_m]
\]
Ahora, sea $$j\in\N$$:
\[
\begin{aligned}
\P(N_m = j) &= \P(P_{J_m} - P_{J_{m-1}}= j) \\
&= \int_{0}^\infty \P(P_{J_m} - P_{J_{m-1}} = j|S_m\in dt) \rho_{S_m}(t)\, dt\\
&= \int_{0}^\infty \left(e^{-\mu t}\frac{(\mut)^{j}}{j!}\right)(\lambda e^{-\lambda t})\, dt\\
&= \lambda\mu^j \int_{0}^\infty e^{-(\mu+ \lambda)t}\frac{t^{j}}{j!}\, dt\\
&= \frac{\lambda\mu^j}{(\lambda+\mu)^{j+1}} \int_{0}^\infty e^{-(\mu+ \lambda)t}\frac{t^{j}}{j!}(\lambda+\mu)^{j+1}\, dt\\
\end{aligned}
\]
Pero esta integral es precisamente de la densidad de una $$\Gamma$$, por lo cual se tiene:
\[
\P(N_m = j) = \frac{\lambda\mu^j}{(\lambda+\mu)^{j+1}}
\]
!!P2: Proceso de Markov Filtrado
Sea $$(N_t)_t$$ es Proceso de Markov de taza $$\lambda> 0$$ y sea $$\xi_i\sim Ber(p)$$ iid (e independiente de $$(N_t)_t$$).
Finalmente se define $$(M_t)_t$$ un [[Proceso Estocástico]] dado por:
\[
M_t := |\{m\leq N_t: \xi_m = 1\}|
\]
!!!a)
Demuestre que $$(M_t)_t$$ es un proceso de Poisson de tasa $$p\lambda$$
!!!Solución
Notar lo siguiente:
\[
M_t = \sum_{m=1}^{N_t} 1_{\xi_m = 1} = \sum_{m=1}^{N_t} \xi_m
\]
Luego:
\[
M_t - M_s = \sum_{m=1}^{N_t} \xi_m - \sum_{m=1}^{N_s} \xi_m = \sum_{m=N_s+1}^{N_t} \xi_m = \sum_{m=1}^{N_t - N_s} \xi_{m+N_s}
\]
En ley, como $$\xi$$ es iid, se tiene que:
\[
M_t - M_s = \sum_{m=1}^{N_t-N_s} \xi_m
\]
Además, se tiene que $$N_t-N_s\sim \text{Poisson}(\lambda(t-s))$$. Por lo tanto, de [[Golazo]] (verificar) se tiene que:
\[
M_t - M_s \sim \text{Poisson}(p\lambda(t-s))
\]
Ahora hay que ver los incrementos independientes. Considerar la secuencia de tiempos $$t_n$$. Luego:
\[
M_{t_{i+1}} - M_{t_{i}} = \sum_{m=1}^{N_{t_{i+1}} - N_{t_{i}}} \xi_{k + N_{t_i}}
\]
Pero además se tiene que todos los conjuntos del tipo $$\{\xi_{k + N_{t_{i}}}\}_{k=1}^{N_{t_{i}}- N_{t_{i-1}}}$$ son todos independientes de a pares, por lo cual sus sumas son independientes. De esta forma, la suma de estos debe ser también independiente.
!!!b)
Se define el proceso $$W_t:= N_t - M_t$$. Demostrar que para todo $$t\geq 0$$ se tiene $$W_t $$⫫$$M_t$$.
[[21/06/01]]
Se considera siempre $$H$$ un [[Espacio de Hilbert]] con producto interno denotado por $$\langle\cdot,\cdot\rangle$$.
!!''P1''
Sea $$A:H\to H$$ operador lineal contínuo
!!!''a)''
Para $$y\in H$$ se define $$f_y(x) =\langle Ax, y\rangle$$. Probar que existe un único $$z_y\in H$$ tal que $$f_y(x) = (x, z_y)$$.
!!!__Solución__
Primero, queremos ver que $$f_y\in H^*$$, para poder usar [[Teorema de representación de Riesz]]
La linealidad es directa de la linealidad de $$A$$ y de $$\langle\cdot, y\rangle$$.
Luego, para ver continuidad, se usa la [[Desigualdad de Cauchy-Schwarz]]
\[
\begin{aligned}
\Vert f_y(x)\Vert &= \Vert \langle Ax, y\rangle\Vert
\leq \Vert Ax\Vert\Vert y\Vert \\
\end{aligned}
\]
Y luego, por definición de $$\Vert A\Vert$$:
\[
\Vert f_y(x)\Vert \leq \Vert A\Vert\Vert y\Vert\Vert x\Vert
\]
Por lo cual $$\Vert f_y\Vert $$ es acotada, mostrando continuidad.
Finalmente, TRR concluye lo pedido.
!!!''b)''
Mostrar que el [[Operador adjunto en Hilbert]] $$A^*$$ es un funcional lineal bien definido.
!!!__Solución__
Se puede definir $$A^*$$ por $$A^*y = z_y$$ dado por la parte a), y es una función por la unicidad.
Luego, para cada $$x,y \in H$$ se tiene:
\[
\langle Ax, y\rangle = f_y(x) = \langle z_y, x\rangle = \langle x, A^* y\rangle
\]
Cumpliendo lo pedido. Ahora, para ver linealidad, sea $$\lambda \in\R, u, v\in H$$:
\[
\]
\[
\begin{aligned}
\langle A^*(\lambda u+w), x\rangle &= \langle x, z_{\lambda u + w}\rangle \\
&= \langle Ax, \lambda u + w\rangle\\
&=\lambda \langle Ax, u \rangle + \langle Ax, w\rangle\\
&= \lambda \langle x, z_u \rangle + \langle x, z_w\rangle\\
&= \langle x, \lambda z_u + z_w \rangle\\
\end{aligned}
\]
Pero por por la unicidad se tiene que $$z_{\lambda u + v} = \lambda z_u + z_w$$
!!!''c)''
Muestre que $$\Vert A^*\Vert \leq \Vert A\Vert $$
!!!__Solución__
!!!''d)''
Suponer que existe $$x\notin\ker A$$. Definimos $$y$$ como la normalización de $$Ax$$ y $$L=\R y$$, y se considera la función $$g:L\to\R$$ dad por $$g(\lambda y_0)=\lambda$$.
Muestre que $$g$$ puede extender a una función lineal $$\hat g$$ en todo $$H$$, con norma unitaria.
!!!__Solución__
!!!''e)''
Concluya que existe un único $$z$$ tal que $$g(x)=\langle x, z\rangle$$. Calcule $$\hat g(Ax)$$ y concluya que $$\Vert Ax\Vert = \langle x, A^* z\rangle$$
!!!__Solución__
!!!''f)''
Demuestre que $$\Vert A^*\Vert = \Vert A\Vert $$
!!!__Solución__
!!!''g)''
Suponamos que $$\Vert A\Vert \leq 1$$. Demuestre que para cada $$x\in H$$ se tiene $$Ax=x$$ ssi $$\langle Ax, x\rangle =\Vert x\Vert^2$$
Deduzca que $$\ker (I-A) = \ker (I-A^*)$$
!!!__Solución__
!!''P2''
Sea $$S:H\to H$$ operador lineal contínuo tal que $$\langle Sx, x\rangle\geq 0$$.
!!!''a)''
Muestre que $$\ker\, S = R(S)^\perp$$
!!!__Solución__
!!!''b)''
Muestre que $$I+tS$$ es biyectivo para todo $$t>0$$
!!!__Solución__
!!!''c)''
Concluya el siguiente teorema ergódico:
\[
\lim_{n\to\infty} (I+tS)^{-1}f = P_{\ker\, S} f\,: \foall f\in H
\]
Donde se usa [[Proyección]]
!!!__Solución__
[[21/06/04]]
* [[Proceso de Poisson]]
* [[Cadena recurrente positiva]]
* [[Distribución invariante]]
* [[Cadena aperiódica]]
!!P1
Sean $$N_t,M_t$$ dos procesos de Poisson Homogéneos $$(N_0 = M_0 = 0)$$ de tasa $$\lambda > 0$$ y $$μ > 0$$ respectivamente e independientes entre si.
Se define el proceso $$Z_t := N_t +M_t$$. Muestre que $$Z_t$$ es un proceso de Poisson Homogéneo de tasa $$\lambda + μ$$.
!!Solución
\[
Z_0 = N_0 + M_0 = 0 + 0 = 0
\]
Para ver la densidad una forma es usando la [[f.g.m. de Poisson]]:
\[
\begin{aligned}
f_{Z_t}(x) &= f_{N_t}(x)f_{N_s}(x)\\
&= \exp(\lambda t(e^x-1))\exp(\mu t(e^x-1))\\
&= \exp((\lambda+\mu)t(e^x-1))
\end{aligned}
\]
Por lo cual se tiene $$Z_t\sim \text{Poisson}((\lambda+\mu)t)$$
Alternativamente, se puede calcular su función de densidad:
\[
\begin{aligned}
\P(Z_t=k) &= \P(N_t + M_t=k) \\
&=\sum_{j=0}^k \P(N_t + M_t=k|M_t=j)\P(M_t=j)\\
&=\sum_{j=0}^k \P(N_t =k-j)\P(M_t=j)\\
&=\sum_{j=0}^k \frac{e^{-\lambda t}(\lambda t)^{k-j}}{(k-j)!}\frac{e^{-\mu t}(\mu t)^{j}}{j!}\\
&= \frac{e^{-(\lambda+\mu)t}}{k!}\sum_{j=0}^k\frac{k!}{(k-j)!j!} (\lambda t)^{k-j}(\mu t)^{j}\\
&= \frac{e^{-(\lambda+\mu)t}}{k!}((\lambda+\mu)t)^k
\end{aligned}
\]
Luego, hay que ver incrementos independientes. Para ello. notar:
\[
\begin{aligned}
Z_{t_{i+1} } - Z_{t_i} &= (N_{t_{i+1}} + M_{t_{i+1}}) - (N_{t_{i}} + M_{t_{i}})\\
&= (N_{t_{i+1}} - N_{t_{i}}) - (M_{t_{i+1}}+ M_{t_{i}})\\
\end{aligned}
\]
Donde hay que hacer 2 observaciones:
* Como $$N_t$$ y $$M_t$$, cada sumando cumple ser independiente entre sí.
* Como $$N_t$$ es independiente de $$M_t$$, entonces cada elemento $$N_{t_{i+1}} - N_{t_{i}}$$ es independiente de cada elemento $$M_{t_{i+1}}+ M_{t_{i}}$$
Por tanto, los elementos $$Z_{t_{i+1} } - Z_{t_i}$$ son independientes entre sí.
!!P2 [[Teorema de los grandes números para proceso de Poisson]]
!!P3
Dadp $$p\in(0, 1), I=[4]$$ es espacio de estados de la [[Cadena de Markov]] $$X$$ con matriz de transición dada por:
\[
P = \begin{pmatrix}
p & 1-p & 0 & 0\\
0 & 0 & p & 1-p\\
p & 1-p & 0 & 0\\
0 & 0 & p & 1-p\\
\end{pmatrix}
\]
# Note que la cadena es irreducible (no es necesario mostrarlo). Pruebe que la cadena es recurrente positiva.
# Calcule la única distribución invariante $$\pi$$.
# Muestre que la cadena es aperiódica, y deduzca a que tiende $$P_n$$ cuando $$n\to\infty$$.
!!Solución
1. Los estados son finitos, y la cadena es irreducible, por lo cual es recurrente positiva.
2.
Se buscan vectores propios:
\[
\begin{aligned}
\pi_1 &= p(\pi_1+\pi_3)\\
\pi_2 &= (1-p)(\pi_1+\pi_3)\\
\pi_3 &= p(\pi_2+\pi_4)\\
\pi_4 &= (1-p)(\pi_2+\pi_4)\\
\end{aligned}
\]
Cada una se va a escribir con respecto a $$\pi_2$$:
\[
\begin{aligned}
\pi_1 &= \frac{p}{1-p}\pi_2\\
\pi_3 &= \pi_2\\
\pi_4 &= \frac{1-p}{p}\pi_2\\
\end{aligned}
\]
Y luego, imponiendo invarianza:
\[
\begin{aligned}
1 &= \sum \pi_i \\
&= \pi_2\left(\frac{p}{1-p}+ 1+ 1+ \frac{1-p}{p}\right)\\
&= \pi_2\frac{1-p^2+2p}{p(1-p)}
\end{aligned}
\]
Por lo cual se tiene:
\[
\pi_2 =\frac{p(1-p)}{1-p^2+2p}
\]
Luego, se puede resolver todos los términos:
\[
\begin{aligned}
\pi_1 &= \frac{p^2}{1-p^2+2p}\\
\pi_3 &= \frac{p(1-p)}{1-p^2+2p}\\
\pi_4 &= \frac{(1-p)^2}{1-p^2+2p}\\
\end{aligned}
\]
Esto está definido ssi $$p^2-2p-1\neq 0$$, lo cual ocurre para cualquier valor de $$p$$ pues $$(-2)^2 + 4(-1\cdot 1) = 4 +4 = 8 > 0$$.
[[21/06/08]]
!!''P1)''
!!!''a)''
!!!__Solución__
!!!''b)''
!!!__Solución__
!!!''c)''
!!!__Solución__
!!!''d)''
!!!__Solución__
!!''P2)''
!!!''a)''
!!!__Solución__
!!!''b)''
!!!__Solución__
!!!''c)''
!!!__Solución__
[[21/06/15]]
!! ''P1)''
[[Pendiente]]
Sea $$n:[0, 1]\to L^2[0, 1]$$ contínua. Notar que $$n$$ es función en $$L^2[0, 1]$$, Definimos el operador $$T: L^2[0, 1]\to L^2[0, 1]$$ como:
\[
Tf(x) = \int_0^t f(t)n(x)(t)\, dt
\]
!!!''a)''
Muestre que $$T(L^2[0, 1])\subseteq C[0, 1]$$
!!!__Solución__
!!!''b)''
Muestre que $$T\in \mathcal{K}(L^2[0, 1], L^2[0, 1])$$
!!!__Solución__
!! ''P2)''
Sea $$X$$ un espacio de Banach. Diremos $$X$$ cumple la Propiedad de Aproximación (AP) si para todo
espacio de Banach $$Y$$ y todo operador compacto $$T\in\Lel\mathcal{K}(X, Y)$$ se tiene que $$T$$ se puede aproximar (en
la norma de operadores) por una sucesiones de operadores lineales de rango finito de $$Y$$ a $$X$$ (es decir
operadores cuya dimensión de la imagen es finita).
En clases verán que si $$X$$ es un [[Espacio de Hilbert]] entonces cumple (AP). En este problema veremos
que si X posee una [[Base de Schauder]] entonces cumple la (AP)
!!!''a)'' [[Ejercicio Pendiente]]
Pruebe que $$\sup_{n\in\N}\, \Vert \sum_{i\leq n} \alpha_i x_i\Vert$$ define una norma en $$X$$ equivalente a la usual, y que $$\Vert x\Vert_X \leq \Vert x\Vert$$
!!!__Solución__
!!!''b)''
Demuestre que las proyecciones $$P_m:X\to X$$ dadas por:
\[
P_m\left(\sum_{i\in\N} \alpha_ix_i\right) := \sum_{i\leq m}\alpha_ix_i
\]
son contínuas.
!!!__Solución__
Notar que $$P_m$$ es lineal para cada $$m$$, lo cual permite ver continuidad solamente viendo que es acotada.
\[
\begin{aligned}
\left\Vert P_m\left(\sum_{i\in\N} \alpha_ix_i\right)\right\Vert &= \left\Vert\sum_{i\leq m}\alpha_ix_i\right\Vert\\
&\leq \sup_{n\in N}\, \left\Vert \sum_{i\leq n} \alpha_i x_i\right\Vert\\
&\leq \Vert x\Vert
\end{aligned}
\]
Por lo cual es contínua, y $$\Vert P_m\Vert\leq 1$$
!!!''c)''
Diremos $$X$$ tiene la propiedad de (PANA) si para todo compacto $$C \subseteq X$$ y $$\epsilon> 0$$ existe un
$$T_\epsilon : X \to X$$ operador de rango finito tal que $$\Vert T_\epsilon x - x\Vert <\epsilon$$ para todo $$x \in C$$.
Muestre que la propiedad de (PANA) implica la (AP)
!!!__Solución__
Sea $$T\in\mathcal{K}(Y, X)$$. Luego, $$\overline{T(\overline{B_Y})}\subseteq X$$ es compacto.
Por la propiedad de PANA, para cada $$n\in \N$$ existe $$T_n:X\to X$$ de rango finito tal que para cada $$x\in \overline{T(\overline{B_Y})}$$
\[
\Vert T_n x - x\Vert \leq \frac{1}{n}
\]
Ahora, se considera $$\hat T_n = T\circ T_n: Y\to X$$. Además, como $$\hat T_n (X)\subseteq T_n(X)$$, por lo cual $$\hat T_n$$ es de rango finito.
La idea es demostrar que $$\hat T_n$$ aproxima a $$T$$:
\[
\begin{aligned}
\left\Vert\hat T_n - T\right\Vert &= \sup_{\Vert y\Vert = 1}\, \Vert T_n\circ T(y) - T(y)\Vert\\
&\leq \sup_{y\in \overline{B_Y}}\, \Vert T_n\circ T(y) - T(y)\Vert\\
&= \sup_{x\in T(\overline{B_Y})}\, \Vert T(y) - x\Vert\\
&\leq \sup_{x\in \overline{T(\overline{B_Y})}}\, \Vert T(y) - x\Vert\\
&\leq \frac{1}{n}
\end{aligned}
\]
Por lo cual $$\hat T_n\to T$$, por lo cual $$X$$ tiene la (AP).
!!!''d)''
Concluya que si $$X$$ tiene base de Schauder entonces cumple la (AP).
!!!__Solución__
Veremos que al tener una base de Schauder, se cumplirá la propiedad de PANA, lo cual implica la AP por la parte anterior.
Para esto, se necesitan unos buenos operadores, para los cuales se considerarán las proyecciones, que ya se vieron lineal contínuas.
Notar que $$P_m(X) = \langle x,\ldots,x_m\rangle$$, por lo cual $$\dim\, P_m(X) = m<\infty$$, es decir, es de rango finito.
También, sabemos que $$\sup_{n\in\N}\, \Vert P_m(x)\Vert \leq \Vert x\Vert$$, por lo cual el [[Principio de la cota uniforme]] garantiza que $$\sup_{n\in\N}\, \Vert P_m\Vert = K<\infty$$
Entonces, sea $$C$$ compacto en $$X$$ y $$\epsilon>0$$.
Por [[Golazo]], podemos cubrir $$C$$ con bolas de radio $$\frac{\epsilon}{2(1+K)}$$. La gracia es que como $$C$$ es compacto, existe un subrecubrimiento finito, es decir:
\[
C\subseteq \bigcup_{i\leq \ell} B\left(u_i, \frac{\epsilon}{2(1+K)}\right)
\]
Es decir, para cada $$x_0\in C$$ existe un $$u_j$$ tal que $$\Vert x_0-u_j\Vert \leq \frac{\epsilon}{2(1+K)}$$.
Entonces, aproximamos $$u_j$$ por $$P_m u_j$$. Justamente por definición de la base, existe $$N_\epsilon$$ tal que para cada $$m>N_\epsilon$$ tal que:
\[
\Vert u_j - P_m u_j\Vert<\frac{\epsilon}{2}
\]
Estas cotas nos van a permitir concluir:
\[
\begin{aligned}
\left\Vert P_m x_0 - x_0\right\Vert &= \left\Vert P_m x_0 + P_mu_j - P_m u_j + u_j-u_j- x_0\right\Vert\\
&\leq \Vert u_j-x_0\Vert + \Vert u_j- P_mu_j\Vert + \Vert P_m u_j - P_mx_0\Vert\\
&\leq \Vert u_j-x_0\Vert + \frac{\epsilon}{2} + \Vert P_m\Vert\Vert u_j - x_0\Vert\\
&\leq \frac{\epsilon}{2(1+K)}(1+K) + \frac{\epsilon}{2} \\
&\leq\epsilon
\end{aligned}
\]
Es decir, en efecto $$X$$ tiene la propiedad PANA dada por $$P_m$$.
!!''Nota''
Esta demostración NO IMPLICA que todo Espacio de Hilbert posee la (AP). Si el Hilbert no es [[Espacio separable]] no
posee base de Schauder. Pero esta demostración si implica el caso de Hilbert separable, $$\ell^p(\N)$$, $$L^p([0; 1])$$
para $$1\leq p<\infty, C([0; 1])$$ y tantos otros espacios que conocen.
* [[Tiempo de explosión]]
* [[Proceso explosivo]]
* [[Propiedad de Markov continua]]
''Hipótesis''
Sea $$\{A_\lambda: \lambda\in\Lambda\}$$ una familia de conjuntos disjuntos no vacíos.
''Conclusión''
Existe una función $$\phi: \Lambda \to \bigcup_{\lambda\in\Lambda} A_\lambda$$ tal que $$\phi(\lambda)\in A_\lambda$$. A $$\phi$$ se la llama función de elección.
Sea $$\mu$$ medida y $$P$$ [[Matriz estocástica]]. Se dice que cumplen la condición de balance detallado si para cada par de estados $$i, j\in I$$ se tiene la identidad:
\[
\mu_i p_{i, j} = \mu_j p_{j, i}
\]
!!Hipótesis
Sean $$\mu$$ una medida que cumple la condición de [[Balance detallado]] para $$P$$
!!Teorema
$$\mu$$ es [[Medida invariante discreta]] para $$P$$
!!Observación
La otra implicancia no es en general verdadera, pues balance detallado es una propiedad fuerte. Sin embargo, es un criterio muy simple de revisar para encontrar medidas invariantes.
!!Demostración
\[
\begin{aligned}
(\mu P)_j &= \sum_i \mu p_{ij}\\
&= \sum_j \mu p_{ji}\\
&= \mu_j \sum_j p_{ji}\\
&= \mu_j
\end{aligned}
\]
Usando en el último paso que $$P$$ es [[Matriz estocástica]], concluyendo lo pedido.
Una base de Schauder de $$X$$ es una sucesión $$(x_n)\subseteq X$$ tal que para cada $$x\in X$$ existen $$(\alpha_n)$$ tales que:
\[
x = \sum_{n\in\N} \alpha_n x_n
\]
Es decir, que las sumas parciales convergen a $$x$$.
Diremos que $$\{e_n\}\subseteq H$$ es una base ortonormal de un [[Espacio de Hilbert]] $$H$$ si:
# $$e_n$$ es normal, es decir, $$|e_n|=1$$
# Los pares son ortogonales, es decir, \[m\neq n\implies (e_m, e_n)=0\]
# $$\langle \{e_n\}\rangle$$ es denso en $$H$$
''Idea'': Un elemento se podrá escribir como una serie de la base.
Es un algoritmo que puede producir [[Clustering]] particional o [[Clustering jerárquico]], y que es una manera de elegir puntos iniciales para el algoritmo de [[K-means]], que bisecta clusters a través de 2-means:
```
def bisecting_k_means(D, K, n):
L = D
while len(L) != K:
C = choice(L)
sse = np.inf
for _ in range(n):
A, B = k_means(C, k=2)
e = SSE(A) + SSE(B)
if e < sse:
sse = e
c = (A, B)
L.remove(C)
L.append([A, B])
```
La función choice puede ser una que:
* Elige el cluster más grande
* Elige el cluster de mayor [[SSE]]
* Elige con una estrategia mixta
''Algoritmo 1: Creación de un nodo para el subproblema (M)''
```
def crear_nodo(M, I)
P = M.relajacion
if P.estado == "infactible":
return (M, -∞, "infactible")
x = P.punto
z = P.valor
if M.factible(x):
return (M, z, "entero", x, z)
if z <= I.z:
return (M, z, "dominado")
return (M, z, "activo")
```
''Algoritmo 2: Ramificar nodo (M, U, "activo")''
```
def ramificar_nodo(nodo, T, I)
problemas = particion(nodo.M, k)
x, z = None, -∞
for p in problemas:
nodo_p = crear_nodo(p, nodo.U)
nodo.agregar_hijo(nodo_p)
if nodo_p.estado == "entero":
if nodo_p.z > z:
x = nodo_p.x
nodo.estado = "ramificado"
if z > y: # Actualizar incumbentes y dominados
I = (x, z)
for otro_nodo in T.nodos_activos:
if otro_nodo.U <= z:
otro_nodo.estado = "dominado"
for otro_nodo in T.camino_a_raiz(nodo):
# Actualizar cotas superiores
otro_nodo.U = min(otro_nodo.U, max(n.U for n in otro_nodo.hijos))
```
Culminando en:
''Algoritmo 3: BnB''
```
def BnB(M_0):
L = M_0.relajacion
if L.estado != "factible y acotado":
sys.exit("No funca :(")
I = (None, -∞)
T = crear_nodo(M_0, I)
while T.activos != []:
if criterio_terminacion_temprana():
break
ramificar_nodo(T.activos[0], T, I)
return I.x
```
Es un algoritmo hídrido de [[Branch and Bound para PLM]] con [[Planos cortantes para PLE]].
En particular, se corre BnB, y para cada subproblema se busca un [[Plano cortante]] "útil". Si existe un corte útil, se agrega al problema y se verifica si este es útil para el nodo padre, recursivamente, posiblemente llegando a la raíz.
Sea $$m_i$$ un centroide de $$C_i$$. La separación (between cluster sum of squares) está dada por:
\[
\sum_{i=1}^K |C_i|(m-m_i)^2
\]
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
Se dice de una [[Cadena irreducible]] donde cada estado es [[Estado aperiódico]]
Es un problema modelable por una [[Cadena de Markov]]
''Problema''
Hay $$N$$ partículas dentro de una caja dividida en dos recintos (mitad izquierda y mitad derecha). Al principio de la observación todas las partículas se encuentran en la mitad derecha y en cada instante de tiempo se elige una partícula al azar (equidistribuidamente) y se cambia de su lado al otro lado de la caja.
Un [[Proceso Estocástico a tiempo discreto]] $$X=(X_n)$$ a valores en $$I$$ (numerable) se llama cadena de Markov si satisface la siguiente propiedad:
\[
\P(X_{n+1}=i_{n+1}|X_0=i_0,...,X_n=i_n) = \P(X_{n+1}=i_{n+1}|X_n=i_n)
\]
Para todo $$\{i_j: j\leq n+1\}\subseteq I$$ donde esta expresión tiene sentido.
''Intuitivamente:'' Condicional al presente, el futuro del proceso es independiente del pasado
[[Ejercicio Pendiente]] Demostrar que esta intuición es correcta, es decir, que esta condición es equivalente a que $$X_{n+1}$$ (el futuro) y $$(X_0, ..., X_{n-1})$$ (el pasado) son independientes condicionales a $$X_n$$.
Además, se tiende a asumir que las cadenas son homogéneas, es decir: $$\forall n, m\in \N, \forall i, j\in I$$ se cumple:
\[
P(X_{m+1}=j|X_m=i) = P(X_{n+1}=j|X_n=i)
\]
De otra forma, se apellida a la cadena como no homogénea.
Sea $$X$$ un [[Proceso Estocástico a tiempo contínuo]], continuo por la derecha a valores en $$\overline{I} = I\cup \{†\}$$. Sea $$Q$$ una [[Q-matriz]] indexada por $$I$$.
Decimos que $$X$$ es una cadena de Markov a tiempo continuo con generador $$Q$$ y [[Distribución inicial]] $$\mu$$ si:
# El [[Proceso de saltos]] $$Y$$ asociado a $$X$$ satisface que $$Y\sim CM(\mu, R)$$, donde $$R$$ es la [[Matriz de saltos]] asociada a $$Q$$
# Condicional al vector $$(Y_0,\ldots, Y_{n-1})$$, los [[Tiempos de salto]] $$(S_1,\ldots, S_n)$$ son iid $$S_1 \sim\exp\left[q_{Y_{k-1}}\right]$$
# $$X$$ es [[Proceso minimal]]
En este caso se va a escribir $$X\sim CM(\mu, Q)$$ o simplemente $$X\sim CM(Q)$$
Decimos de una [[Cadena de Markov]] es irreducible (o que su [[Matriz de transición]] lo es) si tiene una única [[Clase de estado]].
Sea $$X$$ una [[Cadena irreducible]]. Decimos que $$X$$ es recurrente (o que su [[Matriz de transición]] lo es) si cada $$i\in I$$ es [[Estado recurrente]]
Una [[Cadena recurrente]] se llama recurrente nula si cada estado es [[Recurrente nulo]]
Se dice de una [[Cadena recurrente]] donde cada estado es [[Recurrente positivo]]
!!Hipótesis
Sea $$X\sim CM(\pi, P)$$ con $$\pi$$ una [[Distribución invariante]] con respecto a $$P$$ y $$N>0$$
!!Conclusión
$$(Y_n)_{n\leq N}:= (X_{N-n})_{n\leq N}\sim CM(\pi, P^*)$$ con estados en $$[N],$$ donde $$P^*$$ está dada por:
\[
p^{*}_{ij} = \frac{\pi_j}{\pi_i} p_{ji}
\]
!!Demostración
Primero, se tiene que $$Y_0=X_n\sim \pi$$. Más aún, $$p_{ij}^*\geq 0$$ y:
\[
\sum_j p^*_{ij} = \sum_j\frac{\pi_j}{\pi_i} p_{ji} =\frac{1}{\pi_i} \sum_j \pi_jp_{ji} = \frac{1}{\pi_i} (\pi P)_i = \frac{\pi_i}{\pi_i} =1
\]
Por lo cual $$P^*$$ es [[Matriz estocástica]]. Luego:
\[
\begin{aligned}
\P(\forall k\leq N: Y_k=i_k) &= \P(\forall k\leq N: X_{N-k}=i_k)\\
&= \P(\forall j\leq N: X_{j}=i_{N-j})\\
&= \pi_{i_N}\prod_{j=0}^{N-1}p_{i_{N-j}i_{N-j-1}}\\
&= \pi_{i_0}\prod_{j=0}^{N-1} \frac{\pi_{i_{N-j}}}{\pi_{i_{N-j-1}}}p_{i_{N-j}i_{N-j-1}}\\
&= \pi_{i_0}\prod_{j=0}^{N-1} p^*_{i_{N-j}i_{N-j-1}}
\end{aligned}
\]
Por [[Caracterización de cadenas de Markov por transición y distribución]], se tiene lo pedido.
Sea $$X\sim CM(\mu, P)$$ una [[Cadena de Markov]]. Se dice reversible si para cada $$N>0$$ se tiene que $$(X_{N-n})_{n\leq N}\sim CM(\mu, P)$$ con estados en $$[N]$$
''Nota'': En clases se asume que $$X$$ es [[Cadena irreducible]] con $$\mu$$ [[Distribución invariante]]. Esto significa que por [[Cadena reversa es cadena de Markov]], solamente necesita que $$P^* = P$$
Sea $$X$$ una [[Cadena irreducible]]. Decimos que $$X$$ es transiente (o que su [[Matriz de transición]] lo es) si cada $$i\in I$$ es [[Estado transiente]]
Sea $$P$$ un poliedro. La cara asociada a la [[Desigualdad válida]] $$q^\top x \leq r$$ es
\[
F^{q, r} = \{x\in P| q^\top x = r\}
\]
Es decir, es el subconjunto más grande de $$P$$ tal que se vuelve [[Desigualdad válida]].
Se le apellida propia si:
# $$F\neq\varnothing$$
# $$F\neq P$$
''Nota'': Una cara es siempre poliedro
!!Hipótesis
Sea $$X$$ una [[Cadena irreducible]]
!!Conclusión
Las siguientes son equivalentes:
# Existe un estado [[Recurrente positivo]]
# Todos los estados son recurrentes positivos
# $$X$$ no es [[Proceso explosivo]] y existe una [[Distribución invariante]] $$\pi$$ para la cadena
Más aún, si alguna de las condiciones se cumple, entonces $$\pi$$ es única, y de la forma:
\[
\pi_i = \frac{1}{q_i\E_i(\tau_i)}
\]
!!Hipótesis
Sea $$E$$ un Banach
!!Conclusión
$$E$$ es [[Espacio separable]] ssi $$B_{E^*}$$ es metrizable/normable con respecto a la [[Topología débil]]
!!Demostración
!!!$$\implies$$
Sea $$(x_n)$$ denso numerable de $$B_E$$. Definiremos la siguiente norma:
\[
[f] := \sum_{n\in\N}\frac{|\langle f, x_n\rangle|}{2^n}
\]
Esto en efecto converge, pues el numerador está acotado por $$\Vert f\Vert$$. A ver que en efecto es norma:
Si $$[f]=0$$ se debe tener que $$\forall n\in\N:\, \langle f, x_n\rangle = 0$$. En particular, por densidad se tiene que $$\langle f, x_n\rangle = 0$$ en $$B_E$$, y por linealidad, $$f=0$$.
Ahora se verá que la topología inducida por $$d(f, g) = [f-g]$$ es $$\sigma(E^*, E)$$. Una base de vecindades del 0 está dada por:
\[
\begin{aligned}
V_n &:= \left\{[f-0]\leq \frac{1}{n} \right\} \\
&=\left\{\sum_{n\in\N}\frac{|\langle f, x_n\rangle|}{2^n}\leq \frac{1}{n} \right\} \\
\end{aligned}
\]
Así, considerar la vecindad de $$\sigma(E^*, E)$$ dada por:
\[
W_n = \left\{f\in E^*: |\langle f, x_n\rangle|\leq r, i\leq N \right\}
\]
Luego se tiene que:
\[
\begin{aligned}
\sum_{n\in\N}\frac{|\langle f, x_n\rangle|}{2^n}
&= \sum_{n\leq N}\frac{|\langle f, x_n\rangle|}{2^n} + \sum_{n> N}\frac{|\langle f, x_n\rangle|}{2^n}\\
&\leq \sum_{n\leq N}\frac{r}{2^n} +\frac{1}{2^N}\\
&\leq r +\frac{1}{2^N}\\
\end{aligned}
\]
Luego, tomamos $$N$$ tal que $$\frac{1}{2^N}\leq \frac{1}{2n}$$ y $$r\leq \frac{1}{2n}$$, de forma que se tenga:
\[
d(f, 0) = \sum_{n\in\N}\frac{|\langle f, x_n\rangle|}{2^n} \leq \frac{1}{n}
\]
De forma que $$W_n\subseteq V_n$$.
Ahora, sea $$W$$ una vecindad débil del 0, que es de la forma:
\[
W = \{f\in B_{E^{*}}: |\langle f, y_i\rangle|\leq \epsilon, i\leq N\}
\]
Para $$(y_i)\subseteq E$$. Más aún, se puede sin pérdida de generalidad tomar $$(y_i)\subseteq B_E$$, normalizándolas.
Ahora, se reordena al denso, de forma que para todo $$\delta>0$$ se pueda escribir:
\[
\Vert x_i - y_i\Vert \leq \delta
\]
Considerar $$M$$ tal que:
\[
\begin{aligned}
\frac{1}{M}&\geq \sum_{n\in\N}\frac{|\langle f, x_n\rangle|}{2^n} \\
&= \sum_{n\leq N}\frac{|\langle f, x_n\rangle|}{2^n} + \sum_{n> N}\frac{|\langle f, x_n\rangle|}{2^n}\\
&\geq \sum_{n\leq N}\frac{|\langle f, x_n\rangle|}{2^n}
\end{aligned}
\]
En particular:
\[
|\langle f, x_n\rangle| \leq \frac{2^N}{M}
\]
Luego:
\[
\begin{aligned}
|\langle f, x_i\rangle| &\leq |\langle f, x_i - y_i\rangle| + |\langle f, y_i\rangle| \\
&\leq \Vert f\Vert \Vert y_i - x_i\Vert + \frac{2^N}{M}
&\leq \delta + \frac{2^N}{M}
\end{aligned}
\]
Tomando $$\delta \leq \frac{\epsilon}{2}$$ y $$N$$ tal que $$\frac{2^N}{M}\leq\epsilon$$, se tiene que:
\[
|\langle f, x_i\rangle| \leq\epsilon
\]
Y por tanto, $$V_M\subseteqW$$.
Así, se tiene que las topologías son equivalentes.
!!!$$\impliedby$$
Por hipótesis, se tiene que la bola es metrizable, y en particular, tiene su base numerable, es decir, existen abiertos débiles $$W_n$$ tales que:
\[
W_n\subseteq \left\{d(f, 0)\leq \frac{1}{n} \right\}
\]
Además sabemos que las vecindades se escriben:
\[
W_n = \{f\in E^*: \langle f, x_i\rangle|\leq \epsilon, x_i\in \phi_n\}
\]
Donde $$\phi_n$$ es un conjunto finito. Luego, se considera:
\[
D := \left\langle \bigcup_{n\in\N}\phi_n\right\rangle
\]
Demostraremos que $$D$$ es denso, para lo que se supone lo contrario. Luego, por [[Hahn Banach en Subespacios]] se tiene que existe $$f\neq 0$$ tal que $$D\subseteq \ker\, f$$.
En particular, se tiene que $$\langle f, x_i\rangle = 0\forall x_i\in\phi_n\forall n$$. Esto ahora significa que para todo $$n\in\N$$ se tiene $$f\in W_n$$.
Por lo cual $$d(f, 0) \leq \frac{1}{n}$$ para todo $$n\in\N$$, y así, $$f=0$$, lo cual es una contradicción.
Así, $$D$$ es denso, y por tanto $$D_\mathbb{Q}$$ también lo es.
Sea $$X$$ un [[Proceso Estocástico a tiempo discreto]], y $$\Fel_n$$ su [[Filtración]]. Entonces, son equivalentes:
# $$X$$ es [[Cadena de Markov]]
#\[\forall i\in I, \P(X_{n+1}=j|\Fel_n) = \sum_{i\in I}p_{ij}^{(n)}1_{X_n=i}\]
# $$\P(X_{n+1}=j|\Fel_n)$$ es $$\sigma(\{X_n\})$$-medible
''Demostración''
($$1\iff 2$$):
\[
\begin{aligned}
\Fel_n &= \sigma(\{x_0,\ldots, x_n\})\\
&= \sigma\left(\left\{\bigcap_{j=0}^nx_j^{-1}(i_j): i_0,\ldots,i_n\right\}\right)\\
\end{aligned}
\]
Que es una partición de $$\Omega$$. Entonces:
\[
\begin{aligned}
\P(X_{n+1}=j|\Fel_n) &= \sum_{i_0,\ldots,i_n\in I}\frac{\P(X_0=i_0,\ldots, X_n=i_n, X_{n+1}=j)}{\P(X_0=i_0,\ldots, X_n=i_n)}1_{X_0=i_0,\ldots, X_n=i_n}\\
&=\sum_{i_0,\ldots,i_n\in I}\P(X_{n+1}=j |X_0=i_0,\ldots, X_n=i_n)1_{X_0=i_0,\ldots, X_n=i_n}\\
\end{aligned}
\]
[[Ejercicio Pendiente]]: Terminar la demostración, notando que esto debe ser igual a lo pedido ssi $$X$$ es cadena de Markov.
($$2\implies 3$$) es directa, pues tenemos una función simple
($$3\implies 2$$)
\[
\begin{aligned}
\P(X_{n+1}=j|\Fel_n) &= \E( \P(X_{n+1}=j|\Fel_n) |\sigma(\{X_n\}))\\
&= \E(\E( 1_{X_{n+1}=j}|\Fel_n) |\sigma(\{X_n\}))\\
&= \E( 1_{X_{n+1}=j}|\sigma(\{X_n\})\\
\end{aligned}
\]
[[Ejercicio Pendiente]]: Terminar la demostración, es similar al caso anterior.
!!__Hipótesis__
Sea $$X$$ un [[Proceso minimal]] continuo por la derecha, $$(P(t))_t$$ un [[Semigrupo minimal asociado a Q-matriz]] $$Q$$ indexada en $$I$$.
!!__Conclusión__
\[
X\sim CM(Q) \iff \P(X_{t_{n+1}}=i_{n+1}| X_{t_{k}}=i_{k}\forall k\leq n) = P_{i_{n}i_{n+1}}(t_{n+1}-t_n)
\]
''Proposición'' $$X$$ es una [[Cadena de Markov]] con [[Matriz de transición]] $$P$$ y [[Distribución inicial]] $$\mu$$ ssi se cumple la identidad:
\[
r_n := \P(X_0=i_0,\ldots, X_n=i_n) = \mu_{i_0}\prod_{j=0}^{n-1}p_{i_ji_{j+1}}
\]
''Demostración''
* $$\implies$$
\[
\begin{aligned}
r_n = \P(X_0=i_0,\ldots, X_n=i_n) &= \P(X_n=i_n|X_{n-1}=i_{n-1},\ldots,X_0=i_0)\P(X_{n-1}=i_{n-1},\ldots,X_0=i_0)\\
&=\P(X_n=i_n|X_{n-1}=i_{n-1})\P(X_{n-1}=i_{n-1},\ldots,X_0=i_0)\\
&=p_{i_{n-1}i_n}\P(X_{n-1}=i_{n-1},\ldots,X_0=i_0) = p_{i_{n-1}i_n}r_{n-1}\\
\end{aligned}
\]
Inductivamente:
\[
\begin{aligned}
r_n = r_0 \prod_{j=0}^{n-1}p_{i_ji_{j+1}} = \P(X_0=i_0) \prod_{j=0}^{n-1}p_{i_ji_{j+1}} = \mu_{i_0}\prod_{j=0}^{n-1}p_{i_ji_{j+1}}
\end{aligned}
\]
* $$\impliedby$$
\[
\begin{aligned}
\P(X_{n+1}=i_{n+1}|X_{n}=i_n,\ldots,X_0=i_0) &= \frac{\P(X_{n+1}=i_{n+1},\ldots,X_0=i_0)}{\P(X_{n}=i_{n},\ldots,X_0=i_0)}\\
&=\frac{\mu_{i_0}\prod_{j=0}^{n}p_{i_ji_{j+1}}}{\mu_{i_0}\prod_{j=0}^{n-1}p_{i_ji_{j+1}}}\\
&= p_{i_n}p_{i_{n+1}}
\end{aligned}
\]
[[Pendiente]]
!!__Hipótesis__
Sea $$F$$ [[Cara]] de $$P$$.
!!__Conclusión__
$$F$$ es minimal ssi $$F = \{x\in\R^n: A_Ix = b_I\}$$, es decir es un [[Espacio afín]]
!!__Demostración__
\[
\begin{aligned}
F \text{ es minimal } &\iff F \text{ no tiene facetas}\\
&\iff J = \varnothing\\
&\iff F = \{x\in\R^n: A_Ix = b_I\}
\end{aligned}
\]
!!__Hipótesis__
Sea $$X\sim CM(Q)$$ y estados distintos $$i, j\in I$$
!!__Conclusión__
Las siguientes son equivalentes:
# $$i\to j$$ ([[Llevar estados]])
# $$i\to j$$ para la cadena subyacente
# Existen estados tales que $$q_{ii_0}q_{i_0i_1}\ldots q_{i_nj}>0$$
# $$p_{ij}(t)>0$$ para algún $$t\geq0$$
# $$p_{ij}(t)>0$$ para todo $$t>0$$
Un sistema es [[Controlable]] en $$T>0$$ ssi la función $$\varphi: A\to \R^n$$ dada por
\[
u\mapsto \varphi(u) = X(T)\int_0^T X(s)^{-1}B(s)u(s)ds
\]
Es sobreyectiva.
!!__Hipótesis__
Sean $$X, X_n$$ [[Variable aleatoria]] a $$\R$$
!!__Conclusión__
Son equivalentes:
# $$X_n$$ es [[Convergente en ley]] a $$X$$
# $$F_{X_n}$$ converge puntualmente a $$F_{X}$$ para sus puntos de continuidad, donde $$F$$ es la función de distribución
''
Proposición
''
Sea $$P(A, b)\neq\varnothing$$ [[Poliedro]]
''Conclusión''
$$q^\top x\leq r$$ es una [[Desigualdad válida]] en $$P$$ ssi existe $$y\in\R^m, y\geq 0$$ tal que:
\[
y^\top A= q^\top;\, y^\top b\leq r,
\]
''
Demostración
''
$$(\impliedby)$$ Dado $$x\in P$$, se tiene que $$Ax\leq b$$. Multiplicando por $$y^\top$$ se tiene:
\[
y^\top Ax\leq y^\top b
\]
Luego, con la extra hipótesis se tiene que:
\[
q^\top x =y^\top Ax\leq y^\top b = r
\]
Por lo cual la desigualdad es válida.
$$(\implies)$$ Considerar el problema primal (P) dado por:
\[
\max\, \{q^\top x|Ax\leq b\}
\]
Que está acotado por $$r$$. Por [[Teorema de dualidad fuerte]], se tiene que su valor óptimo entonces es igual al del problema dual D:
\[
\min\, \{b^\top y| A^\top y = q, y\geq 0\}
\]
Luego, se tiene:
\[
y^{*\top} b = q^\top x^* \leq r
\]
Que es suficiente para concluir.
!!Hipótesis
Sea $$E$$ evn con su [[Espacio dual]] $$E^*$$
!!Conclusión
$$E^*$$ es un [[Espacio separable]] ssi $$B_E$$ es metrizable con respecto a la [[Topología débil]]
!!Demostración
!!!$$\implies) $$
Es idéntica a [[Caracterización de Banach separable]]
!!!$$\impliedby) $$
No se demostró ni dejó de ejercicio.
!!__Hipótesis__
Sea $$X\sim CM(Q)$$ y $$\theta>0$$
!!__Conclusión__
$$X$$ no es [[Proceso explosivo]] ssi la única solución acotada de la ecuación $$QZ = \theta Z$$ es $$Z=0$$
!!__Hipótesis__
Sea $$F\neq\varnothing$$ [[Cara]] de $$P$$
!!__Conclusión__
$$F$$ es [[Faceta]] ssi $$\dim(F) = \dim(P)-1$$
!!__Demostración__
!!!$$\impliedby) $$
Sea $$G$$ faceta. Por ser maximal, se tiene que:
\[\dim(G)\in \{\dim(P), \dim(P-1)\} = \{\dim(P), \dim(F)\}\]
Pero no puede ser que $$\dim(G) = \dim(P)$$, pues si fuera así, no sería propia por [[Caras contenidas de igual dimensión son iguales]] Luego, se tiene que $$G=F$$, por lo cual es faceta
!!!$$\implies) $$
Sea $$P = P(A, b), I=act(P), J=I^C$$ representación minimal.
Luego, del [[Teorema del rango]]:
\[
\dim(P) = n - rango(A_I) = n - |I|
\]
Donde el rango de $$A_I$$ usa la irredundancia. Sea $$F$$ faceta, es decir, $$F=F_i$$. Luego, del teorema del rango:
\[
\dim(F) = n - rango\begin{pmatrix} A_I\\ a_i^\top \end{pmatrix} = n - (|I| + 1) = \dim(P) - 1
\]
!!__Hipótesis__
Sea $$X$$ una [[Cadena de Markov a tiempo continuo]] a valores en $$I$$, y $$Q$$ una [[Q-matriz]] indexada por $$I$$
!!__Conclusión__
\[
X\sim CM(Q) \implies p_h(i, j)= \P(X_{t+h}=j| X_t=i) = 1_{i=j} + hq_{ij} + o(h)
\]
Y si $$I$$ es finito, además se tiene la otra implicancia.
!!__Idea__
Esta es una expansión de Taylor de $$e^{Qh}$$.
Corolario de: [[Espacio afín de una cara]]
!!__Hipótesis__
Sean $$F, F'$$ [[Cara]]s de $$P(A, b)$$.
!!__Conclusión__
\[
F = F' \iff \text{aff}(F) = \text{aff}(F')
\]
!!__Demostración__
$$\implies$$ es directa.
$$\impliedby$$ Sean $$I, I'$$ las activas de $$F, F'$$.
Luego:
\[
F \subseteq \text{aff}(F) = \text{aff}(F')
\]
Del teorema:
\[
F \subseteq \{x\in R^n: A_{I'}=b_{I'}\}
\]
En particular, como $$F\subseteq P$$, se tiene que $$F \subseteq F'$$. De forma análoga, se tiene que $$F' \subseteq F$$, por lo que son iguales.
Sea $$I \subseteq R^n$$ finito. LSSE:
# $$I$$ es afínmente independiente
# \[\forall v\in I\, v\notin \text{aff}(I\setminus \{v\})\]
# \[\forall \lambda\in\R^{|I|}: \sum_{v\in I} \lambda_i v = \sum_{v\in I} \lambda_i= 0\implies \lambda = 0\]
# Dado $$v\in I$$ se tiene que $$I-v$$ es linealmente independiente
# $$\left\{\begin{pmatrix} v\\ 1\end{pmatrix}: v\in I \right\}$$ es linealmente independiente
''Demostración''
Es solamente extender con la [[Caracterización de independiencia lineal en R^n]]
Sea $$I \subseteq R^n$$ finito. LSSE:
# $$I$$ es linealmente independiente
# \[\forall v\in I, v\notin \langle I\setminus \{v\}\rangle \]
# \[\forall \lambda\in\R^{|I|}: \sum_{v\in I} \lambda_i v = 0\implies \lambda = 0\]
!!Hipótesis
Sea $$H$$ un [[Espacio de Hilbert]], $$K\subseteq H, K\neq \varnothing$$ un convexo cerrado, $$f \in K$$.
!!Conclusión
$$w$$ que cumple la siguiente desigualdad:
\[
(f-w, v - w)\leq 0
\]
ssi
\[
w = \arg\min_v |f-v|
\]
!!Demostración
!!!$$(\impliedby)$$
Considerar $$v=(1-t)w + th$$ con $$h\in K$$, de forma que $$v\in K$$. Por definición de $$w$$ se tiene:
\[
\begin{aligned}
|f-w| &\leq |f - v|\\
&= |f - w + t(w-h)|^2\\
&= |f-w| + 2t(f-w, w-h) + t^2|w-h|^2
\end{aligned}
\]
Despejando:
\[
\begin{aligned}
2t(f-w, h-w) \leq t^2|w-h|^2\\
(f-w, h-w) \leq \frac{t}{2}|w-h|^2\\
\end{aligned}
\]
Tomando $$t\to 0$$, se tiene la desigualdad pedida.
!!!$$(\implies)$$
Primero, notar que:
\[
\begin{aligned}
|f-v|^2 &= |(f-w) - (v-w)|^2\\
&= |f-w|^2 - 2(f-w, v-w) + |v-w|^2\\
&\geq |f-w|^2 - 2(f-w, v-w)\\
\end{aligned}
\]
Por hipótesis, se tiene que:
\[
|f-v|^2 \geq |f-w|^2 \implies |f-v| \geq |f-w|
\]
Por lo cual $$w$$ es en efecto minimizador.
''Hipótesis''
Sean $$L$$ las [[Lineas]] de $$P(A, b)$$
''Conclusión''
\[
L = \ker\, A
\]
''Demostración''
[[Ejercicio Pendiente]]
''Proposición''
Los siguientes son equivalentes:
# $$i\to j$$
# $$\exists n\in\N, \exists i_1,\ldots,i_n\in I$$ tales que $$p_{ii_1}p{i_1i_2}\ldots p_{i_{n-1}i_n}p_{i_n j} > 0$$
# $$\exists n\in\N$$ tal que $$\P_i(x_n=j)>0$$
''Demostración''
($$1\implies 3$$)
\[
\begin{aligned}
0 &< P_i(\exists n\geq 0: X_n=j) \\
&= P_i\left(\bigcup_{n\in\N} X_n=j\right)\\
&\leq \sum_{n\in\N} P_i\left(X_n=j\right)
\end{aligned}
\]
Por lo que no todos los sumandos pueden ser 0, es decir, al menos uno de ellos es positivo.
El resto es [[Ejercicio Pendiente]].
''Proposición''
$$P$$ es un [[Poliedro]] y [[Acotado]] ssi es un [[Polítopo]]
''Demostración''
$$(\impliedby)$$ De [[Envoltura finitamente generada es poliedro]] ya se tiene que es poliedro.
Dado que $$P = \text{conv}(x_1, x_k)$$, considerar $$k = \max_i\, \Vert x_i\Vert$$. Luego, sea $$x\in P$$
\[
\begin{aligned}
\Vert x\Vert &= \left\Vert \sum \lambda_ix_i\right\Vert\\
&\leq \sum \lambda_i\left\Vertx_i\right\Vert\\
&\leq \sum \lambda_i k\\
&= k\sum \lambda_i = k\\
\end{aligned}
\]
Por lo cual $$P\subseteq B(0, k)$$
$$(\implies)$$
Si $$P$$ es un poliedro acotado, por [[Teorema de Minkowski Weyl]] se escribe $$P = \text{conv}(W) + \text{cono}(V)$$, en particular, ambos son acotados. Como un
[[Cono acotado es trivial]], se tiene que $$P = \text{conv}(W)$$, que es polítopo.
!!__Hipótesis__
Sea $$Q$$ una [[Q-matriz]], $$\mu$$ una medida y $$P$$ el [[Semigrupo minimal asociado a Q-matriz]]
!!__Conclusión__
$$\mu$$ es [[Medida Q-invariante]] ssi $$\mu P(t) = \mu\forall t\geq 0$$
!!__Observación__
En particular, si $$\mu$$ es medida de probabilidad, $$\mu$$ es [[Distribución invariante]] ssi $$\P_\mu(X_t=i) = \mu(i)$$
!!Hipótesis
Sea $$M$$ un sev cerrado propio de un [[Espacio de Hilbert]] $$H$$.
!!Conclusión
Su [[Proyección]] se caracteriza por:
\[
(f-P_M(f), v) = 0:\, \forall v\in M
\]
!!Demostración
!!!$$\implies)$$
Por la [[Caracterización de la proyección]] se tiene que:
\[
(f-P_M(f), v - P_M(f)) = 0:\, \forall v\in M
\]
En particular, como $$M$$ es sev, se tiene que:
\[
(f-P_M(f), \lambda v - P_M(f)) = 0:\, \forall v\in M, \lambda\in\R
\]
Por bilinealidad, se tiene que:
\[
\lambda(f-P_M(f), v) + \lambda(f-P_M(f), -P_M(f)) \leq 0
\]
Pero usando $$\lambda\to\infty$$, la única posibilidad de que esto se cumpla es si:
\[
(f-P_M(f), v) = 0:\, \forall v\in M
\]
!!!$$\impliedby)$$
Tomando $$\bar v = v - w\in M$$, se tiene por hipótesis que:
\[
(f-w, v - w) = 0:\, \forall v\in M
\]
Y por [[Caracterización de la proyección]], entonces $$w$$ es la proyección.
!!__Hipótesis__
Sea $$P(A, b)$$ [[Poliedro]]
!!__Conclusión__
Los siguientes son equivalentes:
# $$P$$ es [[Poliedro puntiagudo]]
# $$\text{rango(A)} = n$$
# $$\ker(A) = \{0\}$$
# $$P$$ no tiene [[Lineas]]
!!__Hipótesis__
Sea $$Q$$ una matriz indexada por $$I$$ finito.
!!__Conclusión__
$$Q$$ es [[Q-matriz]] ssi $$e^{tQ}$$ es [[Matriz estocástica]] para cada $$t\geq 0$$
!!__Idea__
Las Q-matrices son logaritmos de matrices estocásticas.
!!__Hipótesis__
Sea $$P(A, b)$$ [[Cono poliedral]], [[Poliedro puntiagudo]], y $$r\in P(A, 0), r\neq 0$$
!!__Conclusión__
Son equivalentes:
# $$r$$ es [[Rayo extremo]] de $$P(A, 0)$$
# $$\R + r$$ es [[Cara]] de $$P$$
# Existe $$w$$ tal que $$r = \arg\max_{\lambda\in C}\, w^\top x$$
# Existen $$n-1$$ [[Desigualdad activa]]s l.i. en $$r$$
!!Hipótesis
Sea $$E$$ un espacio de Banach
!!Conclusión
$$E$$ es [[Espacio reflexivo]] ssi $$B_E$$ es compacta en la [[Topología débil]]
!!Demostración:
[[Pendiente]]
!!!($$\implies$$)
Tenemos por hipótesis que el [[Funcional de evaluación]] $$J$$ es biyectivo, por lo cual existe su inversa $$J^{-1}$$.
Así, se verá que $$J$$ es un homeomorfismo entre $$E$$ con la [[Topología débil]] y $$E^{**}$$ con la [[Topología débil-*]], lo cual se logrará con [[Continuidad en la topología inicial]].
Sea $$f\in E^*$$:
\[
\begin{aligned}
f\circ J^{-1}(\xi) &= \langle f, J^{-1}(\xi)\rangle\\
&= \langle \xi, f\rangle\\
\end{aligned}
\]
Lo cual es continuo por la definición de $$\sigma(E^{**}, E)$$. Por tanto, se tiene que $$J^{-1}$$ también lo es.
[[Ejercicio Pendiente]]: De forma análoga, se tiene que [[Evaluación es continua entre la topología débil y la débil-*]]
Así, se tiene que $$J$$ es un homeomorfismo, y en particular:
\[
J^{-1}(B_{E^{**}}) = B_E
\]
Como $$B_{E^{**}}$$ es débil-* compacta, y como la imagen continua de un conjunto compacto es compacto (en este caso, débil compacto), por lo cual se tiene lo pedido.
!!!($$\impliedby$$)
Primero, como [[Evaluación de la bola es débil-* densa]], entonces se tiene que $$\overline{J(B_E)} = B_{E^{**}}$$.
Más aún, como $$J$$ es continua entre la topología débil y la débil-*, se tiene que $$J(B_E)$$ es la imagen contínua de un compacto, por lo que es cerrado.
Así, se tiene $$J(B_E) = B_{E^{**}}$$. En particular, por reescalamiento, $$J(E) = E^{**}$$, que demuestra la epiyectividad requerida.
!!Hipótesis
Sea $$X\sim CM(\mu, P)$$
!!Conclusión
$$X$$ es [[Cadena reversible]] ssi $$\mu, P$$ cumplen [[Balance detallado]]
!!__Hipótesis__
Sea $$X\sim CM(Q)$$, y $$P$$ su [[Semigrupo de transición]]
!!__Conclusión__
$$P$$ es [[Semigrupo markoviano]] ssi $$X$$ no es [[Proceso explosivo]]
!!__Hipótesis__
Sea $$x\in P(A, b)$$ un [[Poliedro]] con [[Desigualdad activa]] $$I$$.
!!__Conclusión__
Son equivalentes:
# $$x$$ es [[Vértice]] (Poliedral)
# $$x$$ es [[Punto extremo]] (Geométrico)
# $$\text{rango}(A_I) = n$$ (Algebráico)
# Existe $$w\in\R^n$$ tal que $$x = \arg\max_{x\in P}\, w^\top x$$ (Optimización)
''Proposición''
Sea $$P = P(A, b)$$ un [[Poliedro]] escrito como $$P= conv(V) + cono(W)$$ por [[Teorema de Minkowski Weyl]], cuyo [[Cono de recesión]] es $$rec(P)$$.
''Conclusión''
\[
rec(P ) = P(A, 0) = cono(W)
\]
''Demostración''
Primero veremos que $$rec(P ) = P(A, 0)$$.
$$(\supseteq)$$ Sea $$r\in P(A, 0)$$, es decir, $$Ar\leq 0$$.
Sean $$x\in P, \lambda \geq 0$$. Entonces:
\[
A(x + \lambda r) = Ax + \lambda Ar \leq Ax \leq b
\]
Por lo cual $$x+\lambda r\in P$$, es decir, $$r\in rec(P)$$
$$(\subseteq)$$ Sea $$r\notin P(A, 0)$$, es deci r, que existe $$k$$ tal que $$(Ar)_k > 0$$.
Sea $$x\in P, \lambda\geq 0$$, de forma que:
\[
(A(x+\lambda r))_k = (Ax)_k + \lambda(Ar)_k \to \infty
\]
Tomando el límite en $$\lambda$$. En particular, se tiene que existe $$\lambda'$$ tal que:
\[
(A(x+\lambda' r))_k > b
\]
Por lo cual $$x+\lambda' r\notin P(A, b)$$, y así, $$r\notin rec(P)$$. Por contrarrecíproca, se tiene lo pedido.
Ahora, se verá que $$rec(P) = cono(V)$$
$$(\supseteq)$$ Sea $$r\in cono(V)$$.
Sean $$x\in P, \lambda\geq 0$$. Usando la escritura del [[Teorema de Minkowski Weyl]] se tiene que $$x=x_{cv} + x_{cn}$$ en sus partes convexas y cónicas. Luego:
\[
x + \lambda r = x_{cv} + x_{cn} +\lambda r = x_{cv} + (x_{cn} +\lambda r) \in conv(W) + cono(V) = P
\]
Por lo cual $$r\in rec(P)$$
$$(\subseteq)$$ Sea $$r\in rec(P)$$, asumamos por contradicción que $$r\notin cono(V)$$, es decir, el problema:
\[
R^T x = r, x\geq 0
\]
Es infactible. Por [[Lema de Farkas]] se tiene que el problema:
\[
y^\top R\leq 0, y^\top r> 0
\]
Es factible. Luego, sea $$z\in conv(W)\subseteq P$$. En particular, como $$r\in rec(P)$$, se tiene que:
\[
P\ni z +\lambda r = x_{cv} + x_{cn}
\]
Luego, multiplicando por $$y^\top$$ se tiene:
\[
\begin{aligned}
y^\top(z +\lambda r) &= y^\top(x_{cv} + x_{cn})\\
&= y^\top x_{cv} +y^\top x_{cn}\\
&\leq M + 0 = M\\
\end{aligned}
\]
$$M$$ existe por el acotamiento de $$conv(W)$$, y la otra cota sale por la definición de $$y$$. Luego:
\[
y^\top z +y^\top\lambda r\to \infty
\]
Con $$\lambda\to\infty$$. Pero esto contradice la existencia de la cota $$M$$, por lo cual se debe dar que $$r\in cono(V)$$
Corolario de: [[Espacio afín de una cara]]
!!__Hipótesis__
Sea $$P$$ un [[Poliedro]].
!!__Conclusión__
$$\dim(P) = n\iff $$ la única posible restricción activa es la trivial.
!!__Demostración__
$$(\implies)$$ Por contrarrecíproca, sea $$a_i^\top x \leq b_i$$ una restricción activa con $$a_i\neq 0$$. Pero del título, el espacio afín de $$P$$ es un plano, por lo que su dimensión es $$n-1$$, y en particular, la dimensión de $$P$$ debe ser menor.
$$(\impliedby)$$ La única restricción activa a considerar será $$0^\top x \leq 0$$. Luego, el teorema nos da que:
\[
\text{aff}(P) = \{x\in\R^n: 0^\top z = 0\} = \R^n
\]
Es decir, $$\dim(P) = n$$.
!!__Hipótesis__
Sea $$P$$ [[Poliedro]]
!!__Conclusión__
$$x$$ es [[Vértice]] ssi es [[Solución básica factible]]
\[
A \text{ es UNI}\iff G\text{ es bipartito}
\]
!!Demostración
$$\implies$$ Por contradicción, suponer que $$G$$ no es bipartito. Luego, existe un ciclo $$C$$ de largo impar. Considerar $$A^C$$
!!__Hipótesis__
Sean $$F, F'$$ caras de $$P$$ tales que $$F\subseteq F'$$ y $$\dim(F) = \dim(F')$$
!!__Conclusión__
\[F=F'\]
!!__Demostración__
Se tiene que $$\text{aff}(F)\subseteq \text{aff}(F')$$. Por la hipótesis de dimensión, se tiene que $$\text{rango}(\text{aff}(F)) = \text{rango}(\text{aff}(F'))$$. Como este espacio es de matroide, se tiene que $$\text{aff}(F) = \text{aff}(F')$$, y de [[Caracterización de igualdad de caras]] se concluye.
Es el conjunto de todos los [[Corte de Chvátal]] que se le pueden realizar a un [[Poliedro]] $$P(A, b)$$, es decir:
\[
P^{\text{ch}}:=\left\{x\in P\left|\begin{aligned}\lambda^\top A x&\leq [\lambda^\top b]\\
\lambda^\top A &\in \Z^n\\
\lambda &\geq 0 \end{aligned}\right.\right\}
\]
''Observaciones'':
* Este conjunto es independiente de la formulación del poliedro $$A, b$$, simplemente basta cambiar la formulación con $$q = \lambda ^\top A, r = \lambda^\top b$$.
* Se puede cambiar $$\lambda\geq 0$$ por $$\lambda\in [0, 1]$$.
!!__Hipótesis__
Sea $$P^{\text{ch}}$$ la [[Cerradura de Chvátal]] del [[Poliedro]] racional $$P(A, b)$$
!!__Conclusión__
\[
P^{\text{ch}}=\left\{x\in \R^n\left|\begin{aligned}\lambda^\top A x&\leq [\lambda^\top b]\\
\lambda^\top A &\in \Z^n\\
\lambda &\geq 0 \end{aligned}\right.\right\}
\]
!!__Hipótesis__
Sea $$P^{\text{ch}}$$ [[Cerradura de Chvátal]]
!!__Conclusión__
$$P^{\text{ch}}$$ es poliedro
!!__Idea__
Basta una cantidad finita de valores de $$\lambda$$ para deteminar a $$P^{\text{ch}}$$
Se define recursivamente:
\[
P_n = \begin{cases} P &\text{ si } n=0\\ P_{n-1}^{\text{ch}}&\sim\end{cases}
\]
Denotando la [[Cerradura de Chvátal]]
!!__Hipótesis__
Sea $$P$$ un [[Polítopo]] racional con $$P\cap\Z^n\neq\varnothing$$ con [[Cerraduras iteradas]] $$P_n$$
!!__Conclusión__
Existe un $$k\in\N$$ tal que:
\[
P_k = \text{conv}(P\cap \Z^n)
\]
[[21/03/15]]
Primero se consideran definiciones de [[Inteligencia artificial]]. La filosofía de esta es:
Filosofía de la IA
* La inteligencia es crucial para los seres humanos: a diferencia del resto del reino animal, nosotros no necesitamos evolucionar para adaptarnos.
* ¿Puede una máquina actuar inteligentemente?
*Si pueden, ¿Cómo es esta inteligencia diferente de la inteligencia humana?
*¿Cuán arraigada en lo humano es la inteligencia?
*Inteligencia implica consciencia de sí mismos o tener "mente
Luego, se pueden distinguir distintos tipos de AI:
* Según su naturaleza:
** Fuerte: Indistinguible de la conciencia humana
** Débil: Indistinguible del actuar humano
*Según su aplicación:
**General: Aplicaciones generales
**Particular: Aplicaciones específicas
Alan Turing notó que la pregunta "¿Pueden las máquinas pensar?" no es una muy buena - propuso otra forma de describir el problema, a través del juego de la imitación, como sigue:
<<<
Es un juego basado en otro de la era victoriana llamado juego de la imitación que consistía en separar en distintas salas a un hombre, a una mujer, y en otra a un interrogador. El último lo que tiene es adivinar quién es hombre y quién es mujer haciéndoles una serie de preguntas que ellos responderán por escrito. El hombre debe tratar de engañar al interrogador, mientras que el objetivo de la mujer es ayudarlo. El planteo del Test de Turing es reemplazar al hombre con una computadora. Si un algoritmo puede hacer que el interrogador considere que se trata de un humano y no de una computadora, aquel ente debería ser considerado pensante.
<<<
Entonces, una máquina que gane el juego de la imitación se considerá que aprobó el test de Turing, por lo cual se la declara inteligente. Para lograr esto, existen varios requisitos:
* Procesamiento de lenguaje natural: Habilidad de comunicarse
* Representación de información: Almacenamiento de conocimiento
* Razonamiento: usar información para concluir
* ''Aprendizaje de máquinas'': construir conocimiento y adaptarse
* Visión computacional: percibir el entorno
* Robótica: Interactuar con el entorno
Cabe destacar que AM ha dejado de ser una componente exclusiva de IA y se ha
convertido en un fin en sí mismo con aplicaciones en variadas disciplinas.
''¿Cómo hacerlo?''
Existen dos formas principales:
* GOFAI (Good old fashion artificial intelligence): Introducir reglas que la máquina debe seguir. Esto es fácil de entender en casos pequeños, pero es impracticable en casos grandes - requiere que los humanos conozcan a la perfección las reglas de todo antes de crear la inteligencia, y el código se vuelve enorme. {{GOFAI.png}}
* AM: La máquina no se programa para resolver el problema, sino que para aprender a resolverlo. Esto es útil porque no requiere saber las reglas a la perfección, pues la máquina misma desarrollará su manera de hacerlo. El problema es que la forma de resolución no quedará clara para humanos leyendo el código. {{ML_chess.png}}
''Tipos de AM''
* [[Aprendizaje Supervisado]]
* [[Aprendizaje no supervisado]]
* Reforzado: un agente toma acciones en un ambiente con la finalidad de maximizar una función de recompensa
{{learning_super_vs_not.png}}
[[Link recomendado|https://inverseprobability.com/2017/07/17/what-is-machine-learning]]
!!Control
Una de las primeras nociones importantes de este curso es la dinámica.
Para esto, recordamos que antes aprendimos de los problemas de Cauchy, que son EDOs como tal:
\[
\begin{aligned}
x'(t) &= f(t, x(t))\, : t\in I\\
x(0) &= 0
\end{aligned}
\]
Para estudiar estas, se pide usualmente que $$f$$ sea suave, que nos da resultados como el de existencia y unicidad.
En este curso se ve una variante de estos problemas, el [[Problema controlado]] por una función de control $$u: I\to \Omega$$. Acá la "trayectoria" solución depende de $$u$$.
El control no es cualquiera, sino que siempre estará en un conjunto de valores admisibles, lo cual impone una restricción.
Típicamente, este conjunto estará contenido en el siguiente:
\[
L_\text{loc}^\infty := \{u\in \mathcal{M}(I, \R^n): u|_{[0, T]}\in L^\infty\, \forall t>0\}
\]
Esto ya nos da un problema, pues el lado derecho no será necesariamente continuo, en particular, ni siquiera tendremos el TEU.
Un caso particular que estudiaremos fuertemente al principio del curso, por la gran cantidad de resultados que tiene, es el caso en que del [[PC lineal]]
!!Optimalidad
Ya hablamos de lo que es un control, pero en el curso más aún nos interesa optimizar un funcional dependiente del control, restringido en el espacio de valores admisibles. En partciular, se tiende a resolver:
\[
\min_{u \text{ admisible}, x \text{ soluciona PC}} J(x, u)
\]
En el caso lineal, este funcional tomará la forma:
\[
J := g(x(T)) + \int_{0}^T \ell(t, x(t), u(t))\, dt
\]
La segunda parte del costo se llama el costo Lagrangeano. Acá $$T$$ es fijo, pero otra variante de estos problemas lo dejará como una variable de decisión.
Esto es una generalización del problema del cálculo de variaciones, donde se piden las condiciones $$f = u, g\equiv 0$$.
[[21/03/15]]
En esta clase, se busca demostrar el [[Teorema de Hahn-Banach Analítico]], usando como base el [[Lema de Zorn]]
[[21/03/16]]
Se recuerdan las definiciones de espacio de probabilidad y de [[Variable aleatoria]]. Además se recuerda la notación usual:
\[
\P(X\in A):= \P(X^{-1}(A))
\]
Hay veces en la que es útil escribir esto expandiendo la definición de preimagen, pero usualmente basta la notación compacta.
Más aún, se recuerda la definición de independencia y de probabilidad condicional. Cabe destacar que la aplicación $$\P(\cdot|B)\in [0,1]^\Fel$$ define una medida de probabilidad sobre $$(\Omega, \Fel, \P)$$ soportada en $$B$$. Con esto, tiene sentido definir el concepto de ser [[Condicionalmente independientes]].
Con este recuerdo listo, se define un [[Proceso Estocástico a tiempo discreto]]. En particular, se estudiarán en el curso procesos estocásticos a valores en conjuntos numerables. Un ejemplo de particular importancia para el curso, es una [[Cadena de Markov]].
[[Ejercicio Pendiente]]: Si $$X$$ es una cadena de Markov, entonces $$\forall 0\leq t_0\leq...\leq t_{n+1}\in\N, \{i_j: j\leq n+1\}\subseteq I$$,
\[
\P(X_{t_{n+1}}=i_{n+1}|X_{t_0}=i_0,...,X_{t_n}=i_n) = \P(X_{t_{n+1}}=i_{n+1}|X_{t_n}=i_n)
\]
Como primer ejemplo de una cadena de Markov, se considera la marcha aleatoria simple en $$\Z$$, definida como tal:
Una partícula o individuo camina por
$$\Z$$ de la siguiente forma. A tiempo 0 comienza en $$X_0 =0$$. Luego en cada instante de
tiempo decide dar un paso a la derecha con probabilidad $$p \in [0, 1]$$ y un paso a la izquierda con
probabilidad $$1 − p$$, todo de manera independiente, es decir, para cada $$n \geq 1$$ tenemos que con
\[
X_n := X_{n-1} + \begin{cases}1\text{ con probabilidad } p\\
-1 \text{ con probabilidad } 1 - p \end{cases}\]
$$X_n$$ es una cadena de Markov.
[[21/03/15]]
En esta clase se definen conjuntos básicos necesarios. En particular, se define [[Poliedro]] y [[Conjunto Lineal Mixto]]. Propiedades particulares discutidas son las siguientes:
Los poliedros son convexos y topológicamente cerrados, aunque como no son acotados, pueden ser no compactos. Son cerrados para la intersección finita, pero no la infinita ni la unión.
Los conjuntos lineales mixtos en general no son conexos. Al igual que los poliedros, no son cerrados para la intersección finita ni la unión. [[Ejercicio Pendiente]]: ¿Son cerrados?
Luego, se define un [[Programa lineal]], distinguiendo distintos tipos. En particular, los programas lineales binarios son interesantes por su expresividad, no es difícil ver que $$\forall A\subseteq \{0, 1\}^n$$, estos son programas lineales binarios, simplemente tomando un plano tangente que divida a 1 punto del resto, este se puede excluir - repetir esto para cada punto que se quiera remover del cubo.
Sin embargo, esto no se cumpliría para otros conjuntos, tales como $$\{0, 1, 2\}^n$$. Por ejemplo, con $$n=3$$, se tiene que $$\{(0, 0, 0), (2, 2, 2)\}\in S\subseteq \{0, 1, 2\}^3$$ implica $$(1, 1, 1)\in S$$, por linealidad. Esto significa que conjuntos como $$\{(0, 0, 0), (2, 2, 2)\}$$, si bien son discretos, no se pueden expresar dentro de los conjuntos lineales mixtos, sino que se tendría que expresar un conjunto más grande, tal como $$\{(0, 0, 0), (2, 2, 2), (1, 1, 1)\}$$.
De todas formas, este segundo sí es un conjunto lineal mixto, y por lo tanto un problema con solución en el primer conjunto se podría modelar como un PL en el segundo conjunto - si la solución es $$(1, 1, 1)$$, entonces hay que descartarla y buscar otra.
Nos interesa modelat problemas como programas lineales (mixtos). Así, usamos:
* Variables continuas para modelar cantidades que toman valores reales. Ejemplos: propiedades físicas, cantidades de liquidos.
* Variables enteras para representar variables que solo pueden ser enteros. Ejemplo: cantidad de personas, o número de vehículos usados.
* Variables binarias para representar decisiones. Ejemplo: En un problema de grafos, 1 si se toma una arista de un grafo en una solución, 0 si no.
Para definir bien el concepto de [[Modelo (Exacto)]], se recuerdan los conceptos de [[Problema]], Instancias y [[Algoritmos de Optimización]].
Ejemplos de Problemas incluyen:
* MST
* Subgrafo conexo de peso mínimo
* Emparejamientos de peso máximo
* Vendedor viajero
* etc
Dado que algunos problemas no tienen un algoritmo exacto conocido, en la práctica uno puede utilizar heurísticas.
Los problemas de optimización (en ingeniería) no están directamente descritos como PLM.
Informalmente modelar es transformar un problema de optimización en un programa lineal mixto.
Es la descripción de un proceso automático que dado una instancia I escribe un PLM (que llamamos
modelo para I), es decir:
# Variables.
# Restricciones lineales.
# Tipo de variable (entera, continua, binaria).
# Función objetivo lineal.
de modo tal que resolver el PLM permita extraer directamente una solución óptima de la instancia I.
!!Repaso
Se define la [[Ley de v.a.]]. En particular, se recuerda que si $$X$$ es una [[Variable aleatoria]] discreta en $$A$$, se tiene que su ley $$\mu$$ está dada por:
\[
\mu = \sum_{x\in A} p_x\delta_x
\]
Se define entonces la [[Densidad de una v.a.]] y una [[Esperanza]].
Uno de los teoremas que más se usará será [[LOTUS]].
[[21/03/17]]
Primero, se define el [[Problema de regresión]]. Para definir el "mejor" modelo lineal, se considera el [[Criterio de mínimos cuadrados]]. Algunas de las razones para elegir este criterio son las que siguen:
* Existe una [[Solución analítica de LSLR]], por lo que se evitan algoritmos numéricos
* El exponente 2 busca penalizar mayormente grandes diferencias (mayores que 1) entre la predicción y el valor real, mientras que le quita importancia a errores de predicción pequeños (menores que 1).
* La medida del error cuadrático representa la varianza muestral: si considerásemos que $$x_i$$ e $$y_i$$ son observaciones iid de variables aleatorias $$X$$ e $$Y$$ respectivamente, entonces $$J(D, f)$$ corresponde a la varianza muestral de la variable aleatoria $$Y-f(X)$$, asumiendo que su esperanza es nula.
Podemos además interpretar este problema de forma geométrica. El problema de regresión lineal requiere encontrar una solución aproximada de un
sistema lineal sobredeterminado definido por:
\[
\overline X \theta = Y
\]
donde la cantidad de incógnitas $$(M + 1)$$ es ampliamente superada por el número de
ecuaciones $$(N)$$, por lo que la solución exacta
no necesariamente existe.
Por lo anterior, se puede proceder a encontrar la solución para $$\theta$$ que reporta la
menor discrepancia entre ambos lados de la ecuación, para esto, se realiza lo
siguiente:
* Identificar $$span(\overline X) = \{X\theta: \theta\in\R^{M+1}\}$$
* Identificar el elemento de dicho espacio que está más cerca de $$Y \in R^N$$ como la proyección del propio $$Y$$ en $$span(\overlineX )$$.
La condición para identificar dicha proyección es precisamente que el vector error
$$e = Y − \overline X\theta $$ sea ortogonal al espacio span($$ \overline X$$) generado por los datos de entrada. El parámetro que causa esto es precisamente el mismo de la solución analítica del problema.
El principal problema del criterio de mínimos cuadrados es que es sensible a
muestras atípicas (outliers) debido a la penalización cuadrática en su funcional de
costos. En conclusión, el criterio de mínimos cuadrados no es útil cuando existen muestras
que se alejan de la tendencia buscada, por lo que se debe buscar algún método para
corregir el problema.
!!Existencia y unicidad
Como se mencionó en la [[Clase 01 CO: Introducción al control óptimo]], tenemos un problema por no poder usar el TEU. Para eso, se demostrará el nuevo [[TEU extendido]], que nos permitirá encontrar una especie de "solución" a problemas de Cauchy que no necesita ser continuamente derivable como se pedía en el curso de EDO, utilizando otra noción de solución.
En el caso de la teoría de control, un corolario útil es el [[TEU controlado]]. Este no siempre nos servirá, como en el caso lineal, que requiere su propio teorema: [[TEU en control lineal]]
!!Controlabilidad de sistemas lineales
Primero, definimos los [[Puntos accesibles]]. En la siguiente clase se ven propiedades de este conjunto.
Primero, se definen la [[Ecuaciones de primer orden]]. Por gran parte del curso se considera el caso simplificado $$n=2, m=1$$, pues la teoría generaliza sin mucho problema.
!!Quasilinealidad
Un ejemplo particular son las [[Ecuación quasilineal]]. Estas tienen una interpretación geométrica.
Sea $$S$$ el grafo de $$u$$. Dado un punto $$u(x, y) = z\in S$$, se tiene que la dirección del vector normal es $$(u_x(z), u_y(z), -1)$$. Dado una curva $$C$$ en $$S$$ que pasa por $$z$$, se tiene que la dirección tangente a la curva es $$(a, b, c)$$.
En particular, resolver la EDP es encontrar $$S$$ tal que para cualquiera de sus puntos, y se considera una curva de tangente $$(a, b, c)$$, el vector normal debe ser $$(u_x, u_y, -1)$$, volviendo a este problema uno geométrico.
En vista de esto, se definirán conceptos:
* [[Superficie integral]]
* [[Curva característica]]
Para plantear el problema geométrico, nos preguntamos si es posible que una característica pase por un punto de la superficie integral, pero no esté contenida en ella. La respuesta es negativa: [[Si la curva característica intersecta la superficie integral, entonces está contenida en ella]].
!!Problema de Cauchy
Tal como en las EDO, la superficie integral representará una solución general, y el [[PC quasilineal]] nos dará una solución particular.
Típicamente, podremos determinar una solución local en torno a un punto $$(x_0, y_0)$$, pero difícilmente una global.
Un ejemplo típico de $$\Gamma$$ es aquel dado por $$u(x, 0) = h(x)$$, en particular, que sigue la parametrización:
\[
x = s, y = 0, z = h(s)
\]
!![[Método de características]]
La manera geométrica de ver un problema de Cauchy nos sugiere un algoritmo para resolverlos.
[[21/03/17]]
Dado $$E$$ un evn, definimos su [[Espacio dual]]. Se demostrarán varios corolarios al [[Teorema de Hahn-Banach Analítico]] relacionados con este concepto:
* [[Extensión que respeta norma]]
* [[Funcional de soporte]]
Para el siguiente corolario se introduce una notación: $$\langle f, x\rangle := f(x)$$. Lo bueno de esta notación es que permite ver a $$f(x)$$ como si fuera un producto interno - en efecto es bilineal, y cumple una desigualdad tipo Cauchy–Schwarz que es igual de útil.
Así, ya se puede ver [[Dualidad de la norma]].
Se procede a definir el [[Hiperplano]], junto a la proposición: [[Un hiperplano es cerrado ssi su f es continua]].
Luego, se enuncia el [[Teorema de Hahn-Banach Geométrico Primera Forma]].
[[21/03/18]]
Se hace la aclaración que en adelante si no se especifica, las cadenas de Markov se consideran homogéneas.
Entonces, se define la [[Matriz de transición]] asociada a una cadena. Como ejemplo, se nota que la matriz asociada a la marcha aleatoria simple en $$\Z$$ está definida como tal:
\[
p_{ij} =\begin{cases}p\text{ si } j=i+1\\
1-p\text{ si } j=i-1\\
0\sim\end{cases}
\]
Se define una [[Matriz estocástica]], para poner como [[Ejercicio Pendiente]]: Demostrar que las matrices de transición son estocásticas.
Más aún, se define [[Distribución inicial]], para tener la herramienta necesaria para demostrar [[Caracterización de cadenas de Markov por transición y distribución]]
[[21/03/19]]
Esta clase da varios ejemplos de [[Modelo (Exacto)]] para distintos problemas
''Ejemplo 1'': Problema de la mochila
Dados $$ n \in N$$ objetos, valores $$v_i\geq 0$$ y tamaños $$s_i\geq 0$$ asociados.
Dada una mochila de capacidad $$B \geq 0$$.
Seleccionar subconjunto a poner en la mochila maximizando el valor total.
Un modelo exacto de este problema es el [[Programa lineal]]:
\[
\begin{aligned}
\max\sum_{i\in[n]}x_iv_i\\
\text{s.a }\sum_{i\in[n]}x_is_i&\leq B\\
x&\in\{0, 1\}^n
\end{aligned}
\]
''Ejemplo 2'': $$s-t$$ caminos
Dado digrafo $$G = (V, \vec E)$$, nodo origen $$s\in V$$, nodo destino $$t\in V$$, largos no negativos $$l : \vec E\to\R_+.$$
Determinar un camino de largo mínimo de $$s$$ a $$t.$$
Modelo 1:
\[
\begin{aligned}
\min\sum_{e\in E}x_el(e)\\
\text{s.a } x(\delta^+(U))&\geq1 \forall s-t \text{ corte } U\\
x&\in\{0, 1\}^E
\end{aligned}
\]
Acá el conjunto de restricciones $$S$$ no son solamente $$s-t$$ caminos, sino que cualquier subgrafo que contiene un $$s-t$$ camino está incluido.
Esto significa que si bien no es un modelo exacto (hay soluciones factibles en este modelo que no son admisibles por el problema original), pero ninguna de estas soluciones será óptima - los óptimos de este problema sí coinciden con los óptimos del problema original, por lo cual sí es un modelo.
[[Ejercicio Pendiente]]: Encontrar una función $$l\geq 0$$ para que este no sea un modelo. ¿Se puede modificar la función objetivo para hacer de este problema un modelo incluso si la función de
largo en las aristas admite valores 0?
Un problema de este modelo, es que tiene una enorme cantidad de restricciones $$(2^n-2)$$, por lo cual es ineficiente de programar. Se considera otra posibilidad.
Modelo 2:
La indicatriz de un $$s-t$$ camino es un $$s-t$$ flujo. Utilizando esto:
\[
\begin{aligned}
\min\sum_{e\in E} x_e l(e)\\
\text{s.a } x(\delta^+(t))&=0\\
x(\delta^-(t))&=1\\
x(\delta^+(s))&=1\\
x(\delta^+(s))&=0\\
x(\delta^-(v)) - x(\delta^+(v))&=0 \forall v\in V-s-t\\
x\in\{0, 1\}^E
\end{aligned}
\]
Nuevamente, el modelo no es exacto (excepto si $$l>0$$). La cantidad de restricciones es bastante más manejable, solamente $$n$$.
''Ejemplo 3'': Emparejamiento de peso máximo
Dado un grafo $$G = (V, E)$$ con pesos en las aristas $$w:E\to\R_+$$, encontrar un emparejamiento de peso máximo.
Modelo exacto 1:
\[
\begin{aligned}
\max\sum_{e\in E}x_ew(e)\\
\text{s.a }x_e+x_f&\leq 1\forall e, f: e\cap f\neq\varnothing\\
x&\in\{0, 1\}^E
\end{aligned}
\]
Modelo exacto 2:
\[
\begin{aligned}
\max\sum_{e\in E}x_ew(e)\\
\text{s.a } \sum_{e\in\delta(v)}x_e&\leq 1\forall v\in V\\
x&\in\{0, 1\}^E
\end{aligned}
\]
En este caso, no sabemos directamente cual modelo utilizar, por lo que cabe hacerse la pregunta más general.
''¿Cómo elegir entre varios modelos?''
No hay regla de oro para decidir si un modelo es mejor que otro, pero en general se busca (algunas de
estas reglas son contradictorias entre si).
* Que el modelo sea exacto o lo más cercano a exacto posible.
* Que el PLM use variables naturales (no crear variables que no sean naturales al problema).
* Que el PLM sea compacto (menos restricciones es mejor).
* Que el PLM use pocas variables enteras.
*Si dos PLM tienen igual área factible se prefiere el de mejor [[Formulación]]
Con el orden de formulaciones mencionadas, uno puede notar que como los poliedros son convexos:
\[
S\subseteq conv(S)\subseteq P
\]
Para cualquier formulación $$P$$. Entonces, cuando $$conv(S)$$ es poliedro, entonces es la formulación ideal. Sin embargo, esto no siempre ocurre - considerar el siguiente problema:
\[
\begin{aligned}
\max -\sqrt{2x} +y \\
\text{s.a } -\sqrt{2x} +y &\leq 0\\
x, y &\geq 1\\
x, y &\in\Z
\end{aligned}
\]
Es un problema con valor óptimo 0, pero este óptimo es inalcanzable, pues esto sería una contradicción con la irracionalidad de $$\sqrt2$$.
Se recuerda [[Solución de un PL factible y semiacotado]], que claramente no se cumplió ahora. Sin embargo, el único problema era la irracionalidad de la formulación. Entonces, se enuncia [[Solución de un PLM factible y semiacotado]]
En adelante en el curso, se tomarán solamente formulaciones racionales, para poder usar este teorema.
Volviendo al ejemplo, ¿Cuál modelo usar para emparejamiento de peso máximo? En este caso, veremos el criterio de mejor formulación:
\[
1\geq \sum_{e\in\delta(v)} x_e \geq x_e + x_f
\]
Es decir, $$P_2\subseteq P_1$$, por lo cual el segundo modelo es preferido sobre el primero. Sin embargo, $$P_2$$ no es siempre una formulación ideal, salvo si $$G$$ es bipartito (por el teorema de Birkhoff Von Neumann.)
Si $$G$$ no es bipartito, tiene un ciclo de largo impar. Utilizando la identidad:
\[
\max_{x\in Y}\, w^\top x = \max_{x\in conv(Y)} \, w^\top x
\]
[[Ejercicio Pendiente]]: Terminar la demostración.
!!Espacios de probabilidades
Recordamos la interpretación de un espacio de probabilidades $$(\Omega, \Fel, \P)$$:
* $$\Omega$$ son los estados posibles de la naturaleza
* $$\Fel$$ son conjuntos de estados cuya ocurrencia podemos distinguir, es decir, dado $$\omega\in\Omega$$ y $$B\in \Fel$$, podemos responder si $$\omega\in B$$, y podemos "medirlos", es decir, calcular $$\P(B)$$ - Lo interpretamos como la información a la cual tenemos acceso,
* $$\mathcal{G}\subseteq \Fel$$: Una sub $$\sigma$$-álgebra es una que contiene menos información, por lo cual entendemos menos eventos
!!Esperanza condicional
* [[Esperanza condicional]]
* [[Propiedades de la esperanza condicional]]
[[21/03/22]]
En la clase anterior se vio que el criterio de mínimos cuadrados fallaba cuando los
datos presentaban muestras atípicas - una forma estándar de corregir parcialmente este problema, es agregar una
penalización en la norma del parámetro, logrando que el funcional de costo
promueva ajuste a los datos pero también busque parámetros de baja magnitud. Un ejemplo de estos funcionales de costos son los de [[Mínimos cuadrados regularizados]]. Casos particulares son:
* [[Ridge regression]]
* [[LASSO]]
* Sumar los dos casos anteriores para tener elastic net regularization
En el primer caso, se encuentra una solución explícita usando la CPO:
\[
\theta = (\tilde{X}^\top\tilde{X}+\rho\mathbb{I})^{-1}\tilde{X}^\topY
\]
{{curvas_de_nivel_regularizadores.png}}
Se observa cómo las curvas de nivel atraen el mínimo hacia el origen de distinta
forma:
* $$p = 2$$ lleva la solución al origen de forma homogénea.
* $$p \in \{0.5, 1\}$$ lleva la solución a los bordes, es decir, privilegiando soluciones raras.
Para $$p \leq 1$$, la forma de la curva de nivel permite que, usualmente, la solución del
problema se concentre el las puntas del diamante, llevando algunas coordenadas del
parámetro $$\theta$$ directamente a cero. En este caso, se dice que se tiene la propiedad de selección de variables.
En la práctica, para elegir $$\rho$$ se
puede evaluar el desempeño fuera de muestra para distintos valores de $$\rho$$ con la
finalidad de elegir un valor apropiado. Una manera de realizar la evaluación de
desempeño para diferentes $$\rho$$ será vista al estudiar la validación cruzada.
Para analizar la efectividad de la estimación de un parámetro, se puede usar la descomposición sesgo-varianza. Se asumirá que las muestras están compuestas de
una parte determinista $$\tilde{x}$$ y un ruido aditivo $$\epsilon$$ (de media nula), es decir:
\[
y_i = \theta^\top\tilde{x}_i+\epsilon_i
\]
Luego, si $$\hat{\theta}$$ es una estimación del parámetro $$\theta$$, se puede probar que para una nueva
observación $$(\tilde{x}_*, y_*)$$, el error cuadrático esperado asociado a la predicción $$\hat y_* = \hat\theta^\top\tilde{x}$$
se puede descomponer de la siguiente forma:
\[
\begin{aligned}
\E(y_* - \hat y_*)^2 &= (\E(\hat y_*) - y_*) + \E(\E(y_*) - \hat y_*)^2 + \sigma^2\\
&= \text{Sesgo}(\hat y_*)^2 + \text{Varianza}(\hat y_*) + \sigma^2\\
\end{aligned}
\]
Donde $$\sigma^2$$ es la varianza de ruido $$\epsilon$$ y no puede ser controlada por la elección de $$\hat\theta$$, por lo que no será de preocupación.
Con esto, se enuncian:
* [[Descomposición sesgo-varianza para MC]]
* [[Descomposición sesgo-varianza para ridge regression]]
Se ven las siguientes propiedades:
* [[Conjunto de puntos accesibles es convexo]]
* [[Puntos accesibles están caracterizados por controles bang-bang]]
* [[Monotonía de puntos accesibles]]
* [[Si la imagen es simétrica, los puntos accesibles lo son]]
* [[Los puntos accesibles varían continuamente en el tiempo]]
* [[Compacidad de puntos accesibles]]
!!Ejemplo del [[Método de características]]
Considerar la ecuación de Burgers:
\[
\begin{aligned}
u_t + uu_x &= 0\\
u(0, x) &= h(x)
\end{aligned}
\]
Acá la parametrización está dada por:
\[
x = s, t = 0, z = h(s)
\]
Así, se resuelven las ecuaciones características con las condiciones iniciales en $$\Gamma$$:
\[
\begin{aligned}
\frac{dx}{d\tau} = z\implies x &= s + z\tau\\
\frac{dt}{d\tau} = 1\implies t &= \tau\\
\frac{dz}{d\tau} = 0\implies z &= h(s)\\
\end{aligned}
\]
Notar entonces que $$z = h(s) = h(x - zt)$$. Una solución de esta ecuación en función de $$x, t$$ se puede escribir $$u(t, x)$$, por lo cual tenemos ya una solución implícita del problema.
Nos gustaría explicitar esta solución, que no será siempre posible, pero estudiaremos en que casos hay esperanza de hacerlo.
Consideremos el plano de ejes $$x, t$$, y $$s$$ en el eje $$x$$. Considerar la recta en este plano. $$R_s := \{s + h(s)t = x\}$$. A lo largo de $$R_s$$ se cumplirá que $$h(s) = u$$. Luego, para dos rectas $$C_{s_1}, C_{s_2}$$ se cumplirá que $$u = h(s_1)$$ en la primera y $$u = h(s_2)$$ en la segunda. ¿Que ocurre en la intersección? Si se tiene que $$h(s_1)\neq h(s_2)$$ se tiene que $$u$$ es multivaluada en la intersección de las rectas.
Esto es catastrófico, pues buscamos que $$u$$ sea una función. Para que exista una intersección para $$t>0$$, se despeja $$t$$ y se nota que es positiva si:
\[
(s_2 - s_1)(h(s_2)-h(s_1)) < 0
\]
Esto ocurre por ejemplo cuando $$h$$ es decreciente, pero falla en el caso de ser creciente.
!!Catástrofe de gradiente:
Estudiemos $$u_x$$:
\[
u = (x-tu) \implies u_x = h'(x-tu)(1-u_xt)
\]
A lo largo de $$C_s$$:
\[
u_s = h'(s)(1-u_xt)\implies u_x = \frac{h'(s)}{h'(s) + 1}
\]
En particular, si $$h'(s)<0$$, se tiene que $$u_x \to \infty$$ cuando $$t\to-\frac{1}{h'(s)}$$. Entonces, para ver el punto problemático más temprano, considerar $$s^* = \arg\min_{s\in\R}\, h(s)$$. Se tiene que el tiempo en que ocurre la catástrofe de gradiente es:
\[
T = -\frac{1}{h(s^*)}
\]
!!Extender soluciones
Si nos encontramos con estos problemas, no tendremos soluciones clásicas. En vez de dejar esto así, nos conformaremos comúnmente con usar una generalización de la noción de solución que siga definida después del tiempo de explosión.
Notar que la ecuación de Burgers es del tipo
\[
\partial_t R(u) + \partial_x S(u) = 0
\]
Con $$R = u, S = 0.5u^2$$. Integrando esta ecuación en $$[a, b]$$:
\[
\begin{aligned}
\int_a^b \partial_x S(u)\, dx + \int_a^b \partial_t R(u)\, dx&= 0 \\
S(u(t, b)) - S(u(t, a)) + \frac{d}{dt} \int_a^bR(u)\, dx &= 0 \\
\end{aligned}
\]
Entonces, un $$u$$ que resuelve la ecuación original también resuelve esta. Sin embargo, puede existir un $$u$$ que resuelva esta ecuación sin resolver la original, pues no hay garantías de suavidad. Así, un $$u$$ que resuelve esta nueva ecuación se la llama solución débil.
Consideremos una curva $$C: x = \xi(t)$$, que biparticione el plano. Cada lado de la partición tendrá una solución, que llamaremos $$u^+, u^-$$. El sacrificio que hacemos al considerar soluciones débiles es que $$u$$ podrá tener saltos en $$C$$. Luego:
\[
\begin{aligned}
S(u(t, a)) - S(u(t, b)) &= \frac{d}{dt}\left[\int_a^{\xi(t)}R(u)\, dx + \int_{\xi(t)}^bR(u)\, dx \right]\\
&= \xi'(t)R(u^-(t, \xi(t)) - \xi'(t)R(u^+(t, \xi(t))
-\int_a^{\xi(t)}\partial_x S\, dx - \int_{\xi(t)}^b\partial_x S\, dx \\
0 &= \xi'(t)R(u^-) - \xi'(t)R(u^+) - S(u^-) + S(u^+)\\
\xi` &= \frac{S(u^-(t, \xi(t)) - S(u^+(t, \xi(t))}{R(u^-(t, \xi(t)) - R(u^+(t, \xi(t))}
\end{aligned}
\]
Que es una relación muy complicada para $$\xi$$, pero que definirá soluciones,y está definido únicamente por $$R, S$$. En varias aplicaciones, se imponen estricciones adicionales para la elección de $$R, S$$.
[[21/03/22]]
[[Pendiente]]
[[21/03/23]]
Nuestra primera pregunta es:
¿Dada una medida de probabilidad $$\mu$$ y una [[Matriz estocástica]] $$P$$, es posible siempre encontrar una [[Cadena de Markov]] con distribución inicial $$\mu$$ y matriz de transición $$P$$?
Es decir, se prueba la [[Existencia de una cadena de Markov con transición y distribución dadas.]].
Con este teorema y su recíproco, las cadenas de Markov están totalmente determinadas por la distribución inicial y matriz de transición. Así, se usa la notación $$X\sim CM(\mu, P)$$ para denotar una cadena $$X$$ de distribución inicial $$\mu$$ y matriz de transición $$P$$, sin especificar el espacio de la cadena. Si no es especifica la distribición inicial, se escribe $$X\sim CM(P)$$.
También se explora otra [[Construcción de una cadena de Markov]]
''Ejemplo:'' Tomando $$\mu=\delta_0$$ (es decir, $$\zeta_0=0$$), y $$\phi(u, i) = \begin{cases}i+1 \text{ si } u\leq p\\
i-1 \text{ si no} \end{cases} $$. Esto construye la marcha aleatoria simple en $$\Z$$ con $$X_0=0$$.
[[21/03/22]]
Esta clase se presenta el algoritmo [[Branch and Bound para PLM]], cuya idea es la siguiente:
Sea $$\{S_i\}_{i\leq k}$$ una partición del conjunto factible $$S$$ de un problema de optimización del tipo $$z := \max\{c^\top x: x\in S\}$$. Luego, con $$z_i:= \max\{c^\top x: x\in S\}$$, se tiene que $$z =\max_{i\leq k}\, z_i$$
Realizando esto recursivamente hasta que las particiones sean singletons es equivalente a fuerza bruta, por lo que esto no es suficiente. Necesitamos:
* Crear las particiones de una forma inteligente
* De alguna forma, usar los resultados de un elemento de la partición para poder revisar más rápidamente la otra
Cabe destacar que en todo punto del algoritmo, el valor óptimo de $$M_0$$ está en el intervalo $$[I.z, T.raiz.U]$$. Así, se puede definir el [[GAP]] de una solución, que mide que tan cerca está de ser el óptimo real.
Para hacer esto eficiente, hay que tomar en cuenta ciertas consideraciones:
''Resolución de relajación lineal en cada nodo.'' Un detalle interesante a considerar es que en general el PL asociado a un nodo es muy similar al PL asociado al de su padre (son solo restricciones extras), por lo que la solución del padre para empezar simplex dual.
''Selección de nodos activos'' El rendimiento de BnB depende fuertemente de la manera como se elige el nodo activo para ramificar (cuando hay varios de estos). Aquí hay dos objetivos que compiten: (1) Encontrar rápidamente un incumbente (2) Acotar rápidamente la cota $$U_0$$ del nodo raíz. Algunas estrategias son:
* Búsqueda en profundidad (DFS). Ventajas: apunta a encontrar un incumbente rápidamente con pocos nodos. Desventajas: puede explorar un área mala del árbol con nodos sin buenas soluciones.
* Desarrollar el mejor nodo (best-node). Consiste en buscar el nodo activo $$(M)$$ cuya cota $$(B)$$ es la más alta posible. Ventajas: Las mejores soluciones integrales se deben encontrar en nodos con cotas altas, por lo que esta estrategia apunta a encontrar rápidamente buenas soluciones (o acotar rápidamente $$U_0$$) Desventajas: Muchos nodos deben permanecer activos por largo tiempo, provocando que se deba usar una gran cantidad de memoria.
Hay otras estrategias más avanzadas que involucran crear un estimador de cuanto debería degradarse el valor de la cota B en un nodo dado de acuerdo a su PL y luego elegir aquel con mayor valor estimado para la cota. En la práctica se ocupan estrategias mixtas como por ejemplo hacer DFS hasta que se encuentre un incumbente y luego seleccionar mejor nodo. Gurobi hace esto automáticamente (Cplex permite un poco más de control respecto a esto).
''Selección de variable a ramificar '' Puede que la solución fraccional $$\bar x$$ del nodo que ha sido elegido tenga múltiples variables fraccionales. Una forma estándar es elegir la variable $$x_j$$ con $$j \in E$$ más cercana a 0.5. Otra alternativa llamada strong branching involucra resolver pequeñas variaciones del PL original para determinar cual es la variable $$x_j$$ cuya ramificación produce el mayor decrecimiento en la cota superior B del nodo a ramificar. Esta solución es más cara (involucra resolver un número de PL proporcional a las variables fraccionales) pero en la práctica resulta ser útil.
''Criterios de término'' BnB puede tomar un tiempo prohibitivo pero podemos detener el proceso en cualquier momento y, si para entonces tenemos un incumbente, podemos retornar una solución factible y una estimación (GAP relativo) de cuan cerca de ser óptima es la solución. Criterios típicos de término temprano incluyen detener la ejecución si: El tiempo de reloj excede un máximo establecido, si el número de nodos procesados excede un máximo, si la memoria necesaria excede un umbral, si el gap relativo o si el gap absoluto ($$B − z^*$$) es menor que una tolerancia preestablecida.
''Heurísticas'' En muchos casos es posible determinar buenas soluciones factibles (incumbentes) en un nodo cualquiera mediante heurísticas. Por ejemplo, podemos aplicar un algoritmo simple (como glotón o programación dinámica) para encontrar una buena solución factible antes de comenzar BnB. De este modo muchas ramas pueden ser podadas rápida-mente por cota al estar dominadas. Otras heurísticas típicas pueden ser usadas en cada nodo. Por ejemplo, redondear (de alguna forma inteligente) una buena solución fraccional puede producir una buena solución factible o bien, usar las soluciones enteras que podrían aparecer mientras se ejecuta SIMPLEX en un nodo. Esto se puede incorporar fácilmente al algoritmo genérico de BnB que ya vimos.
Para contextualizar el trabajo de esta clase, es útil observar que [[Medida se caracteriza por su producto de dualidad]] y [[Medidas con signo están embedidas en el dual de las continuas acotadas]]
Esto ahora nos permite definir la [[Medida débilmente convergente]]. Esta está caracterizada por el [[Teorema de portmanteau]]
Con esto, se definirá una convergencia de[[Variable aleatoria]], que será la [[Convergente en ley]].
[[21/03/24]]
Como se vió antes, el [[Criterio de mínimos cuadrados]], y por lo tanto se busca un modelo aproximado a los datos tal que la discrepancia entre el modelo candidato y los datos sea la mínima.
Ahora se cambia de enfoque a la máxima verosimilitud: Encontrar el modelo que mayor probabilidad genere exactamente los datos observados.
En vez de buscar el modelo que mejor aproxime los datos, ahora asumimos que los modelos son en efecto verdaderos, y se busca cual es el más probable.
Usualmente consideramos que los datos $$D = \{y_i\}_{i=1}^n$$ son tal que $$y_i$$ es una [[Variable aleatoria]], que son generados a partir de $$\{x_i\}_{i=1}^n$$ son [[Condicionalmente independientes]] dado el modelo: si conocieramos el modelo (es decir, si conocieramos $$\theta$$) $$x_i \perp x_j\implies y_i \perp y_j$$.
Sin embargo, $$D$$ no es independiente, pues si lo fueran, la predicción de un nuevo dato $$y^*$$ no utilizaría la información de $$D$$.
La independencia condicional sí permite la siguiente expresión:
\[
p(y^*|D, \theta) = p(y^*|\theta)
\]
Es decir, las observaciones pasadas no son útiles para predecir el futuro ''solamente si conozco el modelo''.
Entonces, para la regresión lineal podemos considerar el siguiente modelo generativo:
\[
y = a^\topx+b+\epsilon; \epsilon\sim\Nel(0, \sigma_\epsilon^2)
\]
Que se puede expresar mediante la densidad condicional:
\[
y|x \sim p(y|x, \theta) = \Nel(y; a^\top x + b, \sigma_\epsilon^2)
\]
Con $$\theta = (a, b, \sigma_\epsilon^2)^\top$$ representando todos los parámetros del modelo.
Notar que todas las observaciones dan información para aprender de $$\theta$$, justamente por la dependencia entre los datos (si no, no sería posible aprender).
Esto permite definir la [[Verosimilitud]], que es justamente lo que se quería al principio de la clase. Esto nos hace notar que lo que queremos es justamente un modelo que maximice esta cantidad, por lo que se vuelve de nuevo un problema de optimización.
Se define un sistema [[Controlable]], y se vé la [[Caracterización de controlabilidad]]
!! Sistemas autónomos sin restricciones de control
!! Sistemas no autónomos sin restricciones de control
Todavía estudiamos la [[Ecuación quasilineal]], tomando además la notación $$z = u, p = u_x, q = u_y$$, por lo cual tendremos $$F(x, y, z, p, q) = 0$$
Un vector normal a la [[Superficie integral]] $$S: z = u(x, y)$$ estará entonces dado por $$(p, q ,-1)$$. Además, el plano tangente a $$(x_0, y_0, z_0) \in S$$ está dado por:
\[
z - z_0 = p(x-x_0) +q(y-y_0)
\]
Tenemos esta relación además de la dada por la EDP:
\[
F(x_0, y_0, z_0, p, q) = 0
\]
Si podemos despejar $$p$$ o $$q$$ de esta ecuación, lo sustituimos en la ecuación del plano para restringirla. De esta forma, la familia de los planos tangentes a $$S$$ es uniparamétrica dada por la variable $$q$$ o $$p$$ (dependiendo cual se despeja)
La envolventa de los planos tangentes se llama el cono de Monge.
[[21/03/24]]
!! Bidual
Sea $$E$$ evn, ya se sabe que su [[Espacio dual]] $$E^*$$ es un Banach con una norma ya definida. Podemos entonces definir su dual $$E^{**}$$, cuya norma entonces corresponde a:
\[
\Vert \phi\Vert_{E^{**}} = \sup_{\Vert f\Vert_{E^*}\leq 1}|\langle\phi, f\rangle|
\]
!![[Funcional de evaluación]]
Primero, se define este funcional, notando que [[El funcional de evaluación es una isometría]] - esto nos permitirá identificar $$E\subseteq E^{**}$$.
Con esto en mente, se puede definir un [[Espacio reflexivo]]. Se observa que un espacio reflexivo debe ser Banach.
!!Espacio ortogonal
Se define el [[Espacio ortogonal]], y se investiga la [[Relación de doble ortogonalidad con clausura]].
[[21/03/25]]
Notación: $$\delta_iX \sim CM(\delta_i, P)$$. Denotaremos su ley por $$\P_i$$. Por ejemplo:
$$
\P_i(X_1=j, X_2=k) = p_{ij}p_{jk}
$$
Es decir, es una manera compacta de decir que la cadena comenzará en $$i$$.
Análogamente, la esperanza $$\E_i$$ es la esperanza asociada a $$\P_i$$. Más generalemente, $$\P_\mu / \E_\mu$$ se asocia con la distribución inicial $$\mu$$
[[Ejercicio Pendiente]]: Convencerse que
\[
\begin{aligned}
\P_\mu =& \sum_{i\in I} \mu_i\P_i\\
\E_\mu =& \sum_{i\in I} \mu_i\E_i
\end{aligned}
\]
Luego, se define la [[Matriz de transición en n pasos]]. Observaciones básicas son que en $$n=1$$, se tiene al matriz de transición. Más aún, podemos pensar en $$P$$ como un operador lineal que actúa sobre $$f\in I^I$$ mediante:
\[
Pf(i) = \sum_{j\in I} p_{ij}f(j) = \E_i(f(x_1))
\]
Si bien esta serie podría diverger, si existen casos interesantes en los cuales converge en $$\overline\R$$: Si $$f$$ es acotada (por TCD) o si es no negativa (por TCM).
De manera similar podemos multiplicar a un vector de probabilidad $$\mu$$ sobre $$I$$ por la derecha,
y obtenemos:
\[
(\muP)_j = \sum_{i\in I}\mu_ip_{ij} = \P_\mu(X_1=j)
\]
Ahora, se demuestran las [[Ecuaciones de Chapman-Kolmogorov]].
Se define una [[Filtración]]. En el curso, siempre se usará la natural, aunque la definición más general es interesante para otros problemas.
Notación: $$\P(A|\mathcal{G}) = \E(1_A|\mathcal{G})$$.
[[Caracterización de cadenas de Markov por filtración]]
[[21/03/26]]
Aún si es que tenemos un [[Modelo (Exacto)]] con formulación ideal para un problema, que parecerían condiciones óptimas de resolución (dado que se reduce a un problema lineal puro), esto puede no ser suficiente para resolver el problema de manera fácil.
Por un lado, encontrar la formulación ideal es difícil, y además su expresión puede ser con una matriz enorme, por lo que ser polinomial puede ni siquiera importar. Para eso, se considera maneras de simplificar la expresión de $$P(A, b)$$ con [[Eliminación Fourier-Motzkin]].
Un ejemplo simple del algoritmo sería un sistema como tal:
\[
\begin{aligned}
-x_1&\leq -1\\
x_1&\leq 3\\
-x_2&\leq -1\\
-x_1-x_2&\leq -3\\
x_2&\leq 3\\
x_1+x_2&\leq 5\\
\end{aligned}
\]
Donde se eliminará $$x_2$$. Para esto, reescribimos las ecuaciones donde aparece $$x_2$$ para notar que son equivalentes a:
\[
x_2\in[\max\{1, 3-x_1\}, \min\{3, 5-x_1\}]
\]
Esta condición solamente se puede cumplir si es que:
\[
\begin{aligned}
1&\leq 3\\
1&\leq 5-x_1\\
3-x_1&\leq 3\\
3-x_1&\leq 5-x_1\\
\end{aligned}
\]
Que se reduce a:
\[
\begin{aligned}
1&\leq 3\\
1&\leq 5-x_1\\
3-x_1&\leq 3\\
3-x_1&\leq 5-x_1\\
\end{aligned}
\]
Ignorando las inecuaciones que son trivialmente factibles, y despejando:
\[
\begin{aligned}
x_1&\leq 4\\
-x_1&\leq 1\\
\end{aligned}
\]
Cabe destacar: Si una de las ecuaciones hubiera sido trivialmente infactible, entonces el algoritmo se hubiera detenido, declarando que el sistema original era infactible. Sin embargo, esto no ocurrió, así que podemos seguir. Para esto, se recuerda las ecuaciones que dejamos atrás, es decir, en las que no aparecía $$x_2$$, y se considera el sistema que tiene ambas:
\[
\begin{aligned}
-x_1&\leq -1\\
x_1&\leq 3\\
x_1&\leq 4\\
-x_1&\leq 1\\
\end{aligned}
\]
Ahora se eliminará $$x_1$$. No hay inecuaciones donde no aparezca. Las ecuaciones donde aparece nos dicen que:
\[
x_1\in[\max\{-1, 1\}, \min\{3, 4\}] =[1, 4]
\]
Por lo que esto se reduce al sistema de 1 inecuación $$1\leq 4$$. Como este es factible, entonces el problema original también era factible.
''Obs'' Remover lo trivial fue decisión para escribir menos, pero el algoritmo descrito en la clase no sabía necesariamente hacer esto - solamente por ser un caso pequeño habían tantos casos triviales que eliminar. Es decir, la cantidad de inecuaciones sí podría crecer mucho si es que no se tiene una reducción así, que no ocurriría hasta los últimos pasos.
!!Resultados de [[Convergente en ley]]
Un primer teorema simple pero útil es el [[Teorema del mapeo]]. Ahora se nota la [[Debilidad de la convergencia en ley]], y la [[Caracterización de convergencia en ley de variables reales]]
!!Mejorando nociones topológicas
Para poder mejorar el uso de la convergencia en ley, veremos:
* Como metrizar esta convergencia
* Un criterio de compacidad
Para esto, se introducen nuevos conceptos, como la [[Norma Lipschitz]] y [[Norma Lipschitz dual]]. Esto nos pasará al [[Convergencia en ley en espacio separable es metrizable]], que metrizará a la convergencia en ley.
Para la compacidad, primero se define una [[Familia tensa]], y se ven [[Ejemplos de familias tensas]].
Luego, se tendrá el [[Teorema de Prokhorov]]
!!Aplicación: [[Función característica]]
Después de definirla, notamos las [[Propiedades de la función característica]]
Nuestro resultado principal ahora es el [[Teorema de Lévy]]
[[21/03/29]]
Definida la [[Verosimilitud]], surge la pregunta de cómo elegir $$\theta$$ a partir de $$L(\theta)$$. Una forma natural sería simplemente $$\theta^* = \arg\max L(\theta)$$.
Sin embargo, esta elección tiene una justificación más detallada. Sea $$d(p_1, p_2)$$ alguna medida de discrepancia enpre los modelos $$p_1, p_2$$. Luego, se elegirá el $$\theta^*$$ que minimiza $$d(p(y|\theta), p(y|\theta^*))$$.
Un claro problema es que para minimizar esto, se necesitaría conocer $$\theta$$, pero esto es lo que quisieramos encontrar. Sin embargo, la [[Divergencia de Kullback-Leibler]], en la cual podemos usar una aproximación de Monte Carlo usando las $$N$$ observaciones en $$D$$:
\[
KL(p, q) \approx \frac{1}{N}\sum_{i=1}^N\log\left(\frac{p(y_i|\theta)}{p(y_i|\theta^*)}\right)
\]
Donde las muestras $$y_i\sim p(y|\theta)$$ iid.
Si bien esto sigue siendo incalculable, ya podemos minimizarlo:
\[
\theta' := \arg\min \sum_{i=1}^N\log\left(\frac{p(y_i|\theta)}{p(y_i|\theta^*)}\right) = \arg\max \prod_{i=1}^N p(y_i|\theta^*) = \arg\max L(\theta^*)
\]
Por último, uno ve que para modelos lineales, uno tiene que los estimadores de máxima verosimilitud para error gaussiano son precisamente los de mínimos cuadrados.
Limitaciones de máxima [[Verosimilitud]]:
* No da la posibilidad de incorporar conocimiento experto, es decir, introducir sesgos sobre el parámetro al realizar inferencia.
* El paradigma bayesiano busca solucionar este problema interpretando el parámetro $$\theta$$ como variable aleatoria, donde la disponibilidad de datos se interpreta como un evento que aporta evidencia sobre el valor de $$\theta$$
* Consecuentemente, el proceso de inferencia ahora se centra en encontrar la distribución condicional:
\[
p(\theta|D)
\]
y no simplemente $$\arg\max_\theta p(D|\theta)$$
Para esto, es clave el [[Teorema de Bayes]]
Para elegir un prior, si es que no se tiene una creencia fuerte por un prior en particular:
* Prior de Jeffreys, si es que no se quiere dar sesgo
* Prior conjugado, si se busca simplicidad e interpretabilidad
Buena lista de priors conjugados: https://en.wikipedia.org/wiki/Conjugate_prior#Table_of_conjugate_distributions
[[21/03/29]]
Se repasan los teoremas básicos de Análisis:
* [[Lema de Baire]]
* [[Principio de la cota uniforme]]
*[[Teorema de la aplicación abierta]]
*[[Teorema del grafo cerrado]]
Para luego continuar con corolarios:
[[Convergencia puntual de operadores LC]]
''Corolario:'' Dado $$E$$ espacio de Banach, $$\Omega\subseteq E$$ tal que $$\forall f\in E^*, f(\Omega)$$ es acotado. Entonces, $$\Omega$$ es acotado.
''Demostración:''
\[
\sup_{x\in\Omega}J_x f = \sup_{x\in\Omega} \langle f, x\rangle < \infty
\]
Donde $$J_x\in\E^{**}$$. Entonces:
\[
\sup_{x\in\Omega} |J_x f|< \infty
\]
Y por teorema de cota uniforme:
\[
\sup_{x\in\Omega}\Vert J_x\Vert < \infty
\]
Ya se sabe de la [[Clase 04 Funcional: Espacio bidual]] que $$J_x$$ es una isometría. Entonces:
\[
\sup_{x\in\Omega}\Vert x\Vert < \infty
\]
''Corolario:'' Dual al corolario anterior
''Demostración:'' Ejercicio pendiente
[[21/03/30]]
Se demostró que se puede reiniciar una [[Cadena de Markov]] a través del [[Propiedad de Markov débil]]
Para extender este teorema a tiempos aleatorios, se necesita definir los [[t.d.p.]]
Por ejemplo, sea $$X$$ marcha aleatoria. $$\tau_a := \inf\{n\geq 0: X_n\geq a\}$$, el primer tiempo en que la cadena pasa a la derecha de $$a$$, es tiempo de parada.
Por otro lado, $$\sigma_a = \sup\{n\geq 0: X_n\geq a\}$$ NO es tiempo de parada.
[[Ejercicio Pendiente]]: La definición de tdp es equivalente a pedir $$\forall n\geq 0: \{\tau=n\}\in\Fel_n$$
Como propiedades básicas:
1. Dado tdps, $$\tau_1, \tau_2$$. Entonces, $$\tau_1\wedge \tau_2 := \min\{\tau_1, \tau_2\}$$ y $$\tau_1\vee\tau_2 := \max\{\tau_1, \tau_2\}$$
2. Si $$(\tau_n)$$
son tdps, entonces $$\inf \tau_l, \sup\tau_l, \lim\inf\tau_l, \limsup\tau_l$$ todos son tdp.
[[21/03/29]]
[[Pendiente]]: Equivalencias fomes de farkas
Primero, se nota que la [[Eliminación Fourier-Motzkin]] se puede interpretar como el teorema: [[Proyección de poliedro es poliedro]]
Un corolario interesante es [[Envoltura finitamente generada es poliedro]] (en esta clase se ve como que el convexo finitamente generado)
Con esto se enuncia el [[Lema de Farkas]].
Recordamos el [[Teorema central del límite]]. Para demostrarlo es útil la [[Expasión de Taylor de la característica]]
!!Métodos de Monte-Carlo
Estos son métedos para calcular cantidades (usualmente integrales) y simular objetos matemáticos en base a número u objetos aleatorios.
Primero, veamos [[Integrales por Monte-Carlo]]. Esto requiere calcular una secuencia aleatoria iid, por lo que necesitamos un algoritmo para ello, que se verá después
[[21/04/12]]
Para realizar la regresión bayesiana, se describe el modelo tal como en el enfoque frecuentista:
\[
Y = \tilde X\theta + \epsilon
\]
De esta forma, la verosimilud está dada por:
\[
\begin{aligned}
L(\theta, \sigma^2) &= \Nel(Y; \tilde{X}\theta, \mathbb{I}\sigma^2)\\
&\propto (\sigma^2)^{-\frac{n}{2}}\exp\left(-\frac{1}{2\sigma^2}(Y-\tilde X\theta)^\top (Y-\tilde X\theta)\right)\\
\end{aligned}
\]
En el caso que $$\sigma^2$$ sea conocido, se elige un prior Gaussiano, que es conjugado, y está dado por:
\[
p(\theta)\propto \exp\left(-\frac{1}{2\sigma^2}(\theta-\theta_0)^\top \Lambda_0 (\theta-\theta_0)\right)
\]
Donde la distribución posterior para $$\theta$$ está dada por $$\Nel(\Theta; \theta_n, \sigma^2 \Lambda_n^{-1})$$, donde:
\[
\begin{aligned}
\Lambda_n &= \tilde X^\top \tilde X + \Lambda_0\\
\theta_n &= \Lambda_n ^{-1}(\tilde X^\top Y+ \Lambda_0\theta_0)
\end{aligned}
\]
De esta forma, $$\theta_n$$ es una media ponderada del EMV con el prior $$\theta_0$$. Más aún, la varianza es decreciente en $$n$$.
{{regresion_bayesiana.png}}
Una vez se tiene la distribución de $$\theta$$, uno tiene que extraer una estimación puntual de este, por ejemplo, con alguna medida de tendencia central. La elección que se hace es la moda, y esto se lo llama el [[Máximo a posteriori]]. Esta se relaciona con el EMV como tal:
\[
\begin{aligned}
\theta_{MAP} &= \arg\max\, p(D|\theta)p(\theta)\\
&= \arg\max\, \log(p(D|\theta)p(\theta))\\
&= \arg\max\, l(\theta) + \log p(\theta)\\
\end{aligned}
\]
Acá se ve como se combina la manera frecuentista con el prior. En particular, para el problema del principio, se tomará cada coordenada de $$\theta$$ que tengan priors iid $$\Nel(0, \sigma_\theta^2)$$. Asumiento la varianza de ruido $$\theta_\epsilon^2$$, el MAP está dado por:
\[
\theta_{MAP} = \arg\min_\theta\, \sum_{i=1}^N (y_i-\theta^\top \tilde{x}_i)^2 + \frac{\sigma_\epsilon^2}{\sigma_\theta^2}\Vert\theta\Vert^2
\]
Lo cual es equivalente al funcional de [[Ridge regression]].
Unas últimas consideraciones:
* Eligiendo un prior $$p(\theta)\propto \exp(-\gamma|\theta|)$$ se hubiera llegado a [[LASSO]]
* Desde ahora, nos referirnos como MAP a cualquier estimación puntual, pues, como acabamos de ver, esta es equivalente a MCR y al mismo tiempo equivale al criterio de máxima verosimilitud cuando el prior es uniforme.
* Para modelos generales (distintos al caso lineal y gaussiano) el MAP no podrá ser calculado de forma explícita, sino que se tendrán que considerar algoritmos de optimización. En particular, algoritmos iterativos que de esta forma:
\[
\theta_{i+1} = \theta_i + \lambda \nabla_\theta\log p(\theta_i|D)
\]
!!Topología débil
Se define el concepto de [[Topología inducida por funciones]]
Un ejemplo particular es la topología producto, que está generada por las funciones de proyección.
Con esto en mente, se define [[Topología débil]], y se ven propiedades básicas:
* [[Topología débil es Hausdorff]]
* [[Topología débil es evt]]
!!Convergencia débil
Con esto en mente, se define [[Débilmente convergente]].
[[21/04/01]]
Se define [[Filtración inducida por un tdp]].
[[Ejercicio Pendiente]]: Si $$\tau \equiv n, \Fel_\tau = \Fel_n$$.
Además, tienen las siguientes propiedades:
* $$\Fel_\tau$$ es $$\sigma$$-álgebra
* $$\tau$$ es $$\Fel_\tau$$ medible
* $$\tau_1\leq \tau_2\implies \Fel_{\tau_1}\subseteq \Fel_{\tau_2}$$
* $$\Fel_\tau = \{A\in\Fel_\infty: A\cap \{\tau= n\}\in\Fel_n\,\forall n\geq 0\}$$
* $$A\in\Fel_\tau$$ ssi existe $$(A_n)_{n\in\N\cup\infty}$$ con $$A_n\in\Fel_n$$ tal que $$A = \bigcup_{n\in\N\cup\infty} A_n\cup\{\tau=n\}$$
* $$\{\tau_1\leq\tau_2\}, \{\tau_1<\tau_2\}\in\Fel_{\tau_1}\cap\Fel_{\tau_2}$$
Se demuestra el [[Propiedad de Markov fuerte]]. Con un ejemplo...[[Pendiente]]
[[21/04/12]]
!!¿Cómo interpretar el [[Lema de Farkas]] geométricamente?
Sean $$a_1,\ldots, a_n$$ vectores en $$\R^n$$, y $$C$$ su cono generado, es decir:
\[
C = \left\{\sum_{i\leq n} \lambda_i a_i: \lambda >0\right\}
\]
Sea $$b\in\R^n\setminus C$$, entonces existe un hiperplano que separa a $$b$$ de $$C$$.
Como $$b\notin C$$, se tiene que el sistema
\[
[a_1|a_2|\ldots|a_n]x= b; x\geq 0
\]
es infactible. Por [[Lema de Farkas]], se tiene que:
\[
y^\top A\geq 0; y^\top b < 0
\]
es factible, con solución $$y$$. Sea $$x\in C$$, entonces se tiene que:
\[
y^\top x = \sum \lambda_i y^\top a_i \geq 0
\]
Es decir, $$y$$ define un hiperplano que separa a $$b$$ de $$C$$, tal como un [[Teorema de Hahn-Banach Geométrico]].
!!Dualidad
Se introduce la el [[Problema dual]], motivado por el [[Teorema de dualidad débil]]. Más aún, se demuestra el [[Teorema de dualidad fuerte]].
[[21/04/14]]
''¿Cómo hacer predicciones en base a las estimaciones de los modelos?''
Se considera un modelo de variable latente: las observaciones consisten en una variable interna no observable que es perturbada por algún ruido. Por ejemplo, en el modelo lineal y gaussiano se tiene que $$\theta^\top x$$ es la variable latente, mientras que $$\epsilon$$ es una perturbación.
Una manera de predecir es la obvia (plug-in): Dado $$x^*$$, predecir que su $$y^*$$ asociado es $$\theta^\top x^*$$, sin considerar el ruido.
Esto es fácil de entender, pero para el modelo bayesiano no es la mejor manera, pues $$\theta$$ es una [[Variable aleatoria]], y aún elegir su [[Máximo a posteriori]] es incierto. Para una predicción bayesiana, se debe integrar sobre las fuentes de incertidumbre del problema, es decir:
\[
y^* \sim \int p(y^*|x^*, \theta) p(\theta|D)\, d\theta = \E_{p(\theta|D)}[p(y^*|x^*, \theta)]
\]
De esta forma, no solamente se considera el MAP, sino que todas las posibilidades de $$\theta$$. Para obtener una estimación puntual de nuevo, se puede usar:
\[
y = \E[y^*|x^*, D]
\]
Comparando las predicciones:
{{predicciones.png}}
''Regresión no lineal''
El concepto de regresión lineal puede ser extendido mediante la aplicación de una
transformación $$\phi$$ sobre la variable independiente $$x$$, construyendo un modelo lineal
en la variable transformada $$\phi=\phi(x)$$ en lugar de en la variable original $$x$$. Conocer $$\phi$$ es elegida en base al conocimiento experto que se tenga del problema, y su construcción manual es la ingeniería de características. Las transformaciones se consideran de la forma:
\[
\begin{aligned}
\phi: \R^M&\to\R^D
x&\mapsto \phi(x) = [\phi_1(x),\ldots,\phi_D(x)]^\top
\end{aligned}
\]
Donde $$\phi_i: \R^M\to \R$$ son funciones escalares que podría representar 1 característica en particular del problema, por lo que $$\phi$$ se vuelve la colección de las características.
[[21/04/12]]
!!¿Cómo son las funciones $$\Lel\Cel$$ para la [[Topología débil]]?
Por definición, una función $$f\in X^*$$ es continua en la topología débil, pero lo que queda demostrar es que [[Las funciones lineales continuas en la topología débil lo son también en la fuerte]].
Entonces, no se perdieron ni se crearon funciones $$\Lel\Cel$$, son las mismas.
!!¿Qué tan "grande" es la topología débil?
[[La topología débil en dimensión infinita no es localmente acotada]]
Se define un conjunto [[Acotado]], para demostrar que [[La topología débil en dimensión infinita no es localmente acotada]].
[[Ejercicio Pendiente]]: En $$\R^n$$, la topología débil coincide con la fuerte.
!! Estudio de bolas
[[La cerradura débil del círculo unitario es la bola unitaria]]
[[21/04/13]]
Se define [[Llevar estados]], y se ve la [[Caracterización de llevar estados]].
Se define la [[Comunicación de estados]] y se demuestra [[La comunicación de estados es una relación de equivalencia]], que permite definir la [[Clase de estado]].
Con esto, se define una [[Cadena irreducible]]. Durante el curso, usualmente se asumirán que son irreducibles.
Se define un [[Estado aperiódico]], notando que la marcha aleatoria sumple no es aperiódica, pues tiene periodo 2.
Se define una [[Propiedad de clase]], y se demestra que [[La aperiodicidad es una propiedad de clase]].
[[21/04/16]]
!! Holgura complementaria
Se ven las variaciones del [[Problema dual]], que están en la tabla.
Luego, se demuestra el teorema de [[Holgura complementaria]].
!!Ejemplo: Precio sombra
Un joyero produce aros y anillos. Para producirlos usa plata, bronce y oro. La siguiente tabla resume:
* El costo material de cada producto
* El precio de venta de cada producto
|!Producto|!Plata (oz)|!Bronce (oz)|!Oro (oz)| !Precio de venta ($) |
|1 aro |5|2|0|30000|
|1 anillo |2|1|3|40000|
La siguiente tabla tiene el stock de los materiales:
|!Material|!Stock|
|Plata|100|
|Bronce|300|
|Oro|60|
Si el joyero quiere ganar la mayor cantidad de dinero, sus variables de decisión son la cantidad de aros $$x_1\geq 0$$ y de anillos $$x_2\geq 0$$ a producir, y nuestra pregunta es como producir de manera que se maximice la cantidad:
\[
c(x_1, x_2) = 30000x_1 + 40000x_2
\]
Pero el stock limitado impone restricciones. En particular, la cantidad de plata utilizada es $$5x_1 + 2x_2$$, lo cual no puede ser mayor que 100. Así, las restricciones son:
\[
\begin{aligned}
5x_1 + &2x_2 &&\leq 100\\
2x_1 + &x_2 &&\leq 300\\
&3x_2 &&\leq 60\\
\end{aligned}
\]
Por lo cual se modela bien con un programa lineal puro. Calculando el óptimo, se tiene en $$x_1 = 12, x_2= 20, c = 1.160.000$$.
¿Ésto tiene algo que destacar? Lo que uno nota es que:
\[
\begin{aligned}
5\cdot 12+ 2\cdot 20 = 60 + 40 &= 100\\
2\cdot 12 + 20 = 24 + 20 &= 44\\
3\cdot 20 &= 60\\
\end{aligned}
\]
Es decir, el óptimo utiliza toda la plata y todo el oro, pero no todo el bronce, algo de esto sobra, es decir, la segunda restricción no es activa.
Consideremos si llega un empresario a comprarle al joyero todos sus recursos (plata, bronce y oro), a precios por onza de material $$y_1, y_2, y_3\geq 0$$ correspondientes a la plata, bronce y oro
La cantidad que pagaría el empresario está cada por:
\[
p(y_1, y_2, y_3) = 100y_1 + 300y_2 + 60y_3
\]
Para pagar lo menos posible, el empresario quiere minimizar esta cantidad, pero considerando que esta debe ser una mejor decisión para el joyero que simplemente producir. En particular, debe darse que la cantidad $$5y_1 + 2y_2$$ debe ser mayor que lo que puede ganar el vendedor con un aro, es decir, que $$5y_1 + 2y_2 \geq 30000$$. En general, se tienen las restricciones:
\[
\begin{aligned}
5y_1 + 2y_2 &\geq 30000\\
2y_1 + y_2 + 3y_3 &\geq 40000\\
\end{aligned}
\]
El óptimo en este caso está dado por $$y_1 = 6000, y_2 = 0, y_3=9333.\overline{3}$$.
¿Por qué el precio del bronce el 0? Esto está garantizado por holgura complementaria, pues sabíamos que ambos erán óptimos, dando:
\[
y_2(a_2x - b_2) = 0
\]
Pero como se vió en la solución del primal, no se usaba todo el bronce, es decir, $$a_2x\neq b$$, lo que implica $$y_2 = 0$$
En economía, esto se interpreta desde el precio sombra. Consideremos el precio marginal de un producto, es decir, la cantidad que estaría dispuesto pagar el joyero por una onza extra de un recurso $$x_i$$.
Para determinar esto, el joyero volvería a optimizar el problema lineal perburbando $$b' = b + e_i$$. Entonces, el precio sombra sería $$c(x') - c(x)$$.
Pero el dual perturbado con el nuevo recurso es el dado por $$p' = p + y_i$$. Pero las restricciones del problema son los mismos, y por la similaridad de los problemas, el óptimo se alcanza en el mismo punto ([[Golazo]], esto no es obvio y es materia de después). Pero acá se tiene que $$p'(y) -p(y) = y_i$$.
Luego, por dualidad fuerte se tiene que $$c(x') - c(x) = y_i$$.
Entonces, la cantidad que el joyero está dispuesto a pagar por una onza extra $$x_i$$ es $$y_i$$. En el caso del bronce, el joyero no estaría dispuesto a pagar por más bronce pues este le sobra, por lo cual se tenía que $$y_2 = 0$$.
[[21/04/19]]
Se habla del problema de [[Clasificación]]. Este puede ser visto como un problema de regresión donde la variable de output $$y$$ es categórica.
Los métodos que se verán en este curso son:
* [[KNN]]
* [[Regresión logística]]
* [[SVM de margen duro]]
!! Clasificación lineal binaria
En el modelo lineal proponemos encontrar $$a, b$$ tales que con $$y(x) = a^\top x + b$$ se cumpla:
\[
y(C_1) \subseteq \R^+; y(C_2) \subseteq R^-
\]
En particular, se nota que dados $$x, x'$$ en la región de decisión (es decir, $$y(x)=y(x')=0$$) se tiene que:
\[
0 = y(x_1)-y(x_2) = a^\top(x_1-x_2)
\]
Por lo que para cualquier $$x$$ en la región de decisión se tiene:
\[
\Vert \text{proy}_a(x)\Vert = -\frac{b}{\Vert a\Vert}
\]
Es decir, $$a$$ es perpendicular a la región de decisión, y $$b$$ sirve para controlar la distancia del origen.
También se puede interpretar $$y(x)$$ como una distancia con signo entre $$x$$ y la región de decisión, notando que:
\[
x = x_\perp + r\frac{a}{\Vert a\Vert}
\]
Con $$x_\perp$$ la proyección perpendicular de $$x$$ en el hiperplano de decisión y $$r$$ es una distancia con signo entre $$x$$ y el plano de decisión.
Así, se tiene que:
\[
y(x) = a^\top\left(x_\perp + r\frac{a}{\Vert a\Vert}\right) + b = r\Vert a\Vert
\]
!!¿Cómo lidiar con múltiples clases?
El caso de múltiples clases $$K>2$$ puede ser enfrentado como una extensión del caso binario. El problema es que queremos particionar $$\R^n$$ a través de varios hiperplanos. Algunas posibilidades son:
* One versus rest: Se construyen $$K$$ clasificadores binarios qeu distrimina una clase $$C_i$$ del resto. El problema es que los espacios deteminados no cubren a $$\R^n$$
* One versus one: Se construyen $$\begin{pmatrix} K\\2\end{pmatrix}$$ clasificadores binarios qeu discriminan entre cada par posible de clases. El problema es que los espacios determinados no son disjuntos.
Es decir, ninguna es una partición.
La solución a esto se construir un clasificador que contiene $$K$$ funciones lineales:
\[
y_k(x) = a_k^\top x+b_k
\]
Donde la clase asignada a $$x$$ es:
\[
C(x) = \arg\max_k\, y_j(x)
\]
Que sí genera una partición del espacio.
!! Cómo encontrar los parámetros
Se utiliza one-hot encoding, que consiste en asignar $$\in \{0, 1\}^K$$ como tal:
\[
C(x)=C_j \iff t_j = 1\wedge t_i = 0\, \forall i\neq j
\]
Luego, encontrar las funciones lineales se puede escribir:
\[
y(x) = \begin{pmatrix} y_1(x)\\ \vdots\\ y_K(x)\end{pmatrix}\tilde{x} = \Theta^\top \tilde{x}
\]
Ahora, hay que decidir una función de costo. Como en el caso de el [[Problema de regresión]], podríamos intentar el [[Criterio de mínimos cuadrados]]. Veremos porque esto no funciona:
!! Costo cuadrático
La función de costo es la siguiente:
\[
J = \sum_{i=1}^N\Vert t_i - \Theta^\top \tilde{x}_i\Vert_2^2 = \text{Tr}((\tilde{X}\Theta - T)^\top(\tilde{X}\Theta - T))
\]
Que tiene un mínimo global en:
\[
\Theta = (\tilde{X}^\top \tilde{X})^{-1}\tilde{X}T
\]
Los problemas conceptuales de este enfoque:
* La sensibilidad a la presencia de outliers
* La función de costo está buscando un promedio, no es correcto pensar que el costo crece con la distancia.
{{outliers_en_clasificador.png}}
En conclusión, esta es una mala solución!
[[21/04/14]]
!!Convexidad y clausura
Se vé que [[La clausura de un convexo es igual para topologías débil/fuerte]]
!!Estudio de continuidad al debilitar ambas topologías
Nos interesa dado $$L\in\Lel\Cel(X, Y)$$, cuando $$L$$ es $$\sigma(X, X^*)-\sigma(Y, Y^*)$$ continua, es decir, se debilitaron ambas topologías.
Para esto, primero se caracteriza la [[Continuidad en la topología inicial]].
Así, ya se puede proponer que [[Debilitar las topologías no afecta en la continuidad]]
!![[Topología débil-*]]
Primero, es claro que uno podría definir la [[Topología débil]] en $$X^*$$, que estaría dada por $$\sigma(X^*, X^{**})$$.
Sin embargo, uno nota que esta es demasiado grande, y no aprovecha las propiedades de $$X$$, pero usando el [[Funcional de evaluación]], se puede definir una más apropiada, la topología débil estrella.
En la tarea se demuestra que es un evt Hausdorff.
En general, es más gruesa que la topología débil, en particular si $$J(X)\subsetneq X^{**}$$.
[[Ejercicio Pendiente]]: Todo lineal contínuo en la topología débil-* es un funcional de evaluación.
Su propiedad más importante es que la bola unitaria es compacta. Esto se llama el [[Teorema de Banach-Alaoglu]]
Se observa que no se cumple la relación convexidad/clausura vista al principio de la clase, es decir, pueden haber convexos cerrados en la topología fuerte que no son cerrados con respecto a la topología débil-*.
[[21/04/15]]
Se define el [[Tiempo de retorno discreto]] y [[Número de visitas]].
Con esto, se puede definir [[Estado recurrente]] y [[Estado transiente]]. Con esto, salen [[Dicotomía recurrencia-transiencia discreta]], y ciertos resultados sencillos, como la siguiente identidad:
\[
\E_i[N_i] = \E_i\left[\sum_{n\in\N}1_{X_n=i}\right] = \sum_{n\in\N}\E_i\left[1_{X_n=i}\right] = \sum_{n\in\N}\P_i(1_{X_n=i}) = \sum_{n\in\N}p_{ii}^{(n)}
\]
Donde la segunda igualdad usamos el teorema de conergencia monótona. Como consecuencia, se tiene el siguiente corolario:
\[
i\in I\text{ es recurrente } \iff \sum_{n\in\N}p_{ii}^{(n)}=\infty
\]
[[Pendiente]] Ejemplo de esto
Luego, sea:
\[
u_{ij}^{(n)} := \P_i(\tau_j = n)
\]
Luego, se demuestra la [[Descomposición por tiempo de llegada]].
[[21/04/19]]
Se definen [[Combinaciones de vectores]] y sus [[Envoltura]]s relacionadas. Se define que sea un conjunto sea [[Finitamente generado]]
Se demuestra que una [[Envoltura finitamente generada es poliedro]]. Un intento de recíproca, que es una caracterización de los poliedros es el [[Teorema de Minkowski Weyl]], que se comienza a demostrar.
[[21/04/21]]
Recordando la [[Clase 08 AM: Introducción a clasificación]], se vieron 2 problemas conceptuales para el problema de [[Clasificación]]:
* Falta de una métrica correcta
* No existe una función de [[Verosimilitud]] apropiada
La incorporación de un función que conecte al modelo lineal con la clase, resulta en
un modelo lineal generalizado, es decir, un modelo lineal concatenado con una
función no-lineal que llamaremos función de enlace.
Sin embargo, el desafío más importante en esta construcción es que el modelo
resultante ya no es lineal, ni en la entrada ni en los parámetros, pues una
verosimilitud (función de enlace) lineal nunca nos llevará desde un espacio de
[[Atributos]] al espacio de categoría.
Una forma de resolver esto es el [[Perceptrón]], que se estudiará sin pérdida de generalidad como binario.
Representando las etiquetas mediante al codificación $$t=\pm1$$, la condición de asignación puede ser cubierta por la expresión
\[
\forall (x_n, t_n)\in D:\, \theta^\top \phi(x_n)t_n >0
\]
Llamado el criterio del perceptrón. Para asegurarse de cumplirlo, se asigna un costo 0 para los $$n$$ que cumplen el criterio, y un costo $$-\theta^\top \phi(x)t$$ a los que no. De esta forma, el costo es como tal:
\[
J(\theta, x) = \E[-\theta^\top \phi(x)t(x)1_{\theta^\top \phi(x)t(x)\leq 0}]
\]
Una manera de estimar esto es:
\[
J(\theta, x) \approx -\sum_{x\in M} \theta^\top \phi(x)t
\]
Donde $$M$$ son los puntos mal clasificados.
Para minimizar esto, no habrá forma analítica, y el método gradiente usual queda atrapado en mínimos locales, lo cual es problemático por sus consecuencias en errores de clasficación.
Entonces, se usa el [[Método del gradiente estocástico]], que es más robusto a los mínimos locales, y usualmente converge al mínimo global.
En particular, para el perceptrón se tiene:
\[
\theta_{n+1} = \theta_n + \beta_n\phi(x_i)t_i
\]
Lo cual permite contruir el [[Algoritmo de entrenamiento del perceptrón]]
[[21/04/19]]
Primero se demuestra el [[Teorema de Banach-Alaoglu]].
Su corolario más directo es la [[Caracterización de reflexividad]], que se demostrará en las siguientes clases.
[[21/04/20]]
Esta clase se enfoca en demostrar [[Dicotomía recurrencia-transiencia discreta]].
Entre esto se observa que [[Distribución de número de visitas en caso transiente]]
[[21/04/23]]
Acá se completa la demostración del [[Teorema de Minkowski Weyl]], de donde sale el siguiente corolario: [[Caracterización de los polítopos]].
Se define [[Data mining]] como disciplina.
Nace por ideas del [[Aprendizaje de Máquinas]], [[Inteligencia artificial]], reconocimiento de patrones, estadística y bases de datos.
Los enfoques tradicionales de estas disciplinas requerían uso de grandes cantidades de datos, pero fallaban cuando eran masivos, por los distintos desafíos que esto presenta, como la alta dimensionalidad o su distribución.
''Diferencia con Machine Learning e Inteligencia Artificial''
(Sobre)simplificando:
* DM genera entendimiento
* ML genera predicciones
* AI genera acciones
Ejemplo: Consideremos un vehículo autónomo. Distintas tareas que realizan son
* El auto reconoce una señal STOP y toma ''acción'' de frenar: [[Inteligencia artificial]]
* El auto reconoce una señal STOP y ''predice'' en base a un entrenamiento cuando debe parar: [[Aprendizaje de Máquinas]]
* El auto transita por las calles y notamos que el rendimiento no es el esperado. Luego ''entendemos'' que esto se debe a varios factores externos: [[Data mining]]
Entonces, el enfoque está en ''extraer conocimiento'', o descubrir automáticamente patrones previamente desconocidos, a partir de datos (posiblemente no estructurados). Para esto, se pueden usar técnicas de ML, entre otras. Requiere conocimiento de los datos mismos y su dominio.
{{KDD.png}}
Existen principalmente 2 tipos de métodos: [[Métodos predictivos]] y [[Métodos descriptivos]]
En el caso predictivo tenemos:
* [[Clasificación]]: Se puede usar para apuntar publicidad a potenciales compradores, o predecir transacciones fraudulentas, o predecir si se perderá un cliente a la competencia.
* [[Problema de regresión]]
* Detección de [[Outliers]]
En el caso descriptivo tenemos:
* [[Clustering]]: Se puede usar para dividir un mercado en conjuntos de clientes, encontrar documentos similares entre sí
* Descubrir [[Regla de asociación]]: Se puede usar para encontrar asociaciones entre compras, a modo de publicitar un elemento asociado a las compras.
* Descubrir [[Patrones secuenciales]]
Los desafíos que tenemos para esto son:
* Escalabilidad: Funcionar a tanto baja escala como alta escala
* [[Maldición de la dimensionalidad]]
* Datos pueden ser muy complejos y heterogéneos
* [[Datos de mala calidad]]
* Distribución de los datos y propiedad
* Privacidad
* Streaming: Los datos vienen en un flujo, generándose constántemente.
[[Link recomendado|https://www.ted.com/talks/hans_rosling_the_best_stats_you_ve_ever_seen?referrer=playlist-the_best_hans_rosling_talks_yo]]
El interés en hacer [[Data mining]] es por aspectos comerciales y científicos.
Por el lado comercial, las empresas grandes hacen una recolección de enormes volúmenes de datos comerciales: Esto se utiliza para estudiar a los compradores, y tomar buenas decisiones económicas al respecto.
Por el lado científico, los datos pueden ser observaciones de experimentos, que se midan a gran velocidad, en gran escala, o de gran dimensión. Ejemplos son los telescopios, satélites, requerimientos web, ADN, actividad de enfermedades.
{{flu_trends.png}}
[[21/04/26]]
Acá primero se distingue entre distintos tipos de modelos de [[Clasificación]]:
* [[Modelo discriminativo]]
* [[Modelo generativo]]
Los vistos en la clases anteriores eran discriminativos, y ahora se introduce uno generativo.
Para $$K$$ clases, el teorema de Bayes dice:
\[
P(C_i|x) = \frac{\P(x|C_i)\P(C_i)}{\sum_{j}\P(x|C_j)\P(C_j)} =:\text{softmax}(s)_i
\]
Donde $$s_i := \ln(\P(x|C_i)\P(C_i))$$, usando [[Función softmax]]
En un caso binario, dado priors Gaussianos, este modelo se vuelve precisamente clasificación lineal como la ya vista.
Al maximizar verosimilitud, se tendrá que las mejores estimaciones para $$\P(C_i)$$ son precisamente dadas por la regla de Laplace, es decir:
\[
\pi_ = \frac{N_i}{N}
\]
Con $$N = N_1+N_2$$
Las medias de cada gaussiana se estiman por:
\[
\mu_i = \frac{1}{N_i}\sum_{x_j\in C_i} x_j
\]
Y la matriz de covarianza $$\Sigma$$ sería como:
\[
\Sigma = \frac{S_1+S_2}{N}
\]
Donde:
\[
S_i = \sum_{x_j\in C_i} (x_j-\mu_i)(x_j-\mu_i)^\top
\]
[[21/04/21]]
Esta clase de dedica a demostrar [[Caracterización de reflexividad]]. Una de las implicancias requiere introducir un par de lemas previos:
* [[Clausura de imagen de vectorización de funciones]]
* [[Evaluación de la bola es débil-* densa]]
[[21/04/22]]
!!Recurrencia de clases
Se ve que [[La recurrencia es propiedad de clase]]. Con esto, se puede definir la noción de una [[Cadena recurrente]]/[[Cadena transiente]] y [[Clase recurrente]]/[[Clase transiente]]
Se ve el siguiente resultado:
Si $$i\to j$$ e $$i$$ es [[Estado recurrente]], entonces:
\[
\P_i(\tau_j<\infty) = 1
\]
Luego, unos corolarios directos:
* Toda [[Clase de estado]] recurrente es cerrada
* Si $$I$$ es finito, existe un [[Estado recurrente]] en $$I$$
Ahora, se tiene la siguiente equivalencia:
# Toda clase recurrente es cerrada
# Si $$I$$ es finito, existe un estado recurrente en $$I$$. En particular, si $$X$$ es [[Cadena irreducible]], entonces es recurrente.
Además, se deja ver en el apunte el [[Criterio algebraico de recurrencia]]
!!Recurrencia positiva y distribuciones invariantes
Primero, se define la [[Medida invariante discreta]], observando que si $$\mu$$ es medida invariante para $$P$$, lo es para $$P^n.$$
Pero más importantemente, se nota que cuando $$\mu$$ es distribución invariante, se tiene que:
\[
\mu_j = (\mu P^n)_j = \P_\mu(X_n=j)
\]
Nota: En este caso también se le llama a $$\mu$$ una distribución estacionaria o de equilibrio para la cadena.
!!!¿Cuándo una cadena tiene una distribución invariante?
Siempre existen vectores propios por la izquierda para una matriz estocástica, pero esto no garantiza que sean medidas.
Buscar medidas invariantes es buscar valores propios de $$P$$ con solamente componentes no negativas ($$v\geq 0$$). Si además se pide que sea distribución invariante, basta que la suma de sus coordenadas sea finita ($$v\in \ell^1(I)$$).
[[21/04/26]]
!![[Cono de recesión]]
Se define el cono de recesión, notando que en el caso del [[Polítopo]] es solamente $$\{0\}$$, pues el acotamiento implica que todas las direcciones permiten un escape.
Luego, se demuestra la [[Caracterización del cono de recesión]].
Con esto, se definen las [[Lineas]], y se demuestra la [[Caracterización de lineas de un poliedro]]
!! "Recuerdo" de álgebra lineal
Se recuerda la conocida [[Caracterización de independiencia lineal en R^n]], que es buen análogo para la [[Caracterización de independiencia afín en R^n]]. Estas caracterizaciones hacen claro que independencia lineal implica independencia afín.
[[21/04/28]]
Recordando que los supuestos tomados sobre el [[Modelo generativo]] para el problema de clasificación resultaron en:
\[
p(C_1|x) = \sigma(w^\top x) = \frac{1}{1+e^{-w^\top x}}
\]
Pero como está definido por $$w$$, se puede en vez de buscar los EMV anteriores, calcular maximizar la [[Verosimilitud]] encontrando un valor óptimo para $$w$$, sin preocuparse de que el modelo sea generativo dado que para los propósitos finales, se usará discriminativamente.
En particular, uno tiene que:
\[
\nabla_w l(w) = \sum_{i=1}^N (t_i-\sigma(w^\top x_i))x_i
\]
Lo cual no se puede resolver analíticamente, por lo cual se utiliza [[Método del gradiente estocástico]], que da una regla de ajuste:
\[
\theta \mapsto \theta - \beta\sum_{i=1}^N (\sigma(w^\top x_i)-t_i)x_i
\]
{{entrenamiento_logistica.png}}
[[21/04/26]]
!!Corolarios de [[Caracterización de reflexividad]]
* [[Subespacio cerrado de Banach reflexivo es reflexivo]]
* [[Espacio es reflexivo ssi su dual lo es]]
!![[Espacio separable]]
Primeros resultados:
* [[Subespacio de separable es separable]]
* [[Dual separable implica separable]]
* [[Espacio es separable y reflexivo ssi su dual lo es]]
* [[Caracterización de Banach separable]]
[[21/04/27]]
Continuando la clase anterior:
!!Ejemplos de [[Medida invariante discreta]]
1. Considerar la [[Cadena de Markov]]:
{{ejemplo_markov_invariante.png}}
Que está dado por la matriz
\[
P = \begin{pmatrix}
0 & .5 & .5\\
.\overline{6} & 0 & .\overline{3} \\
.\overline{6} & .\overline{3} & 0 \\
\end{pmatrix}
\]
Buscamos $$\pi$$ tal que:
\[
\begin{aligned}
\pi P &= \pi\\
\pi_1+\pi_2+\pi_3 &= 1\\
\pi &\geq 0
\end{aligned}
\]
Para eso, uno primero busca los vectores propios de $$P$$, de los cuales encuentra 3. Luego, hay que ver cual (si es que alguno) cumple las otras propiedades, y en efecto, hay uno que lo hace:
\[
\pi = \begin{pmatrix}
.4 & .3 & .3
\end{pmatrix}
\]
Notar que las dos últimas coordenadas son iguales, lo cual tiene sentido, dado que estos dos nodos son indistinguibles en la cadena.
Más aún, la primera coordenada es la más grande. Esto tiene sentido, pues uno espera que la cadena pueda pasar más tiempo en el nodo 1, dado que con probabilidad mayor se irá a ese nodo.
Esto se interpreta como que es una posición de equilibrio, pues la cadena se quiere quedar acá.
2. Ahora, considerar la marcha aleatoria en $$\Z$$. Acá uno puede ver que $$\mu \equiv 1$$ es medida invariante, pero tiene una masa infinita, por lo que no se puede normalizar para volverla una distribución invariante. Es natural preguntarse si esta cadena tiene alguna distribución invariante (Spoiler: No)
3. [[Cadena de Ehrenfest]]:
[[Ejercicio Pendiente]]: Verificar que $$\pi_k =\frac{1}{2^r} \begin{pmatrix}
r\\k
\end{pmatrix}$$ es distribución invariante.
!!Recurrencia positiva.
Se define que un estado sea [[Recurrente positivo]] o [[Recurrente nulo]], y se lo conectará con la noción anterior por el [[Existencia de estado recurrente positivo]] y su relación con la [[Unicidad de las medidas invariantes salvo múltiplo]]
[[21/05/03]]
!!Espacios afines
Se define un [[Espacio afín]] y su [[Espacio vectorial asociado]].
Luego, se define el [[Rango afín]]. Se nota que cumple varias de las propiedades conocidas del rango lineal, tales como:
\[
\text{rango}_{\text{aff}}(X) = \text{rango}_{\text{aff}}(\text{aff}(X))
\]
De esta misma forma se define la [[Dimensión afín]], notando que coincide con su dimensión vectorial.
!! Caras
Se define [[Desigualdad válida]] y [[Desigualdad activa]], para dar una [[Caracterización de desigualdad válida]].
Con esto, se puede definir una [[Cara]], notando que estos son siempre [[Poliedro]], además de definir una [[Faceta]] y un [[Vértice]].
Cabe destacar que no todos los poliedros tienen vértices, por ejemplo, uno formado por dos recta paralelas, pues las caras propias minimales son cada recta.
Se finaliza entonces con el [[Teorema de caracterización de caras]]
[[21/05/10]]
En un problema de [[Clasificación]] donde las clases son linealmente separables existen infinitos hiperplanos separantes, por lo que uno debe tener una noción de el "mejor".
{{maximo_margen.png}}
Los clasificadores del tipo [[SVM de margen duro]] son aquellos que maximizan el margen, pues de esta manera los datos se alejan más de la región de mayor desconfianza, es decir,la de de separación.
Además, el margen tiende a respetarse si los datos generados provienen de una distribución latente, por lo cual es más generalizable.
Más aún, el clasificador estará definido únicamente por algunos datos, por lo cual el desbalance de las clases no es un problema. Los pocos datos que definen el margen se los llama vectores de soporte.
[[21/04/28]]
Se termina la [[Caracterización de Banach separable]], donde sale lo siguiente:
* [[Sucesión de funciones acotada en un espacio separable tiene una subsucesión débilmente convergente]]
* [[Caracterización de dual separable]]
* [[Sucesión acotada en espacio reflexivo tiene subsucesión débilmente convergente]]
[[21/04/29]]
Recordamos que en la clase anterior se vió la [[Existencia de estado recurrente positivo]], y en esta se demuestra.
Para esto, se ven las [[Propiedades de número esperado de visitas a i antes de volver a k]].
Como conclusión, se tiene que [[Recurrencia nula implica existencia de medida invariante infinita]]
[[21/05/07]]
[[Pendiente]]
Se termina de demostrar el [[Teorema de caracterización de caras]], y luego se ven más cosas que no entran en el control.
[[21/05/12]]
Hay dos principales problemas de SVM visto:
# Los datos no siempre son linealmente separables, por lo que puede ser un problema infactible
#Incluso si los datos son linealmente separables, el clasificador puede ser muy sensible a nuevos datos.
Para el segundo problema (y parcialmente la primera) se pueden introducir variables de holgura, y el nuevo problema se llamará [[SVM de margen suave]]
[[21/05/03]]
[[Pendiente]]
!!Aplicaciones
La importancia de estos resultados nace de sus aplicaciones en EDP.
En particular, estudiemos $$C(\R^\infty)$$, y la topología que le queramos dar. ¿Qué es lo que nos interesaría de esta topología?
La idea es que queremos que tengan un soporte compacto, y poder evaluar todas sus derivadas. Para esto, se definen una familia de seminormas dada por:
\[
p_{K, n}(f) := \max_{j\leq n}\, \sup_{x\in K}\, |f^{(j)}(x)|
\]
Donde $$K$$ es un compacto y $$n\in\N$$. Así, se tiene la distancia asociada $$p_{K, n}(f-g)$$. De esta forma, se pensará en la convergencia dada por esta seminormas.
Uno nota que $$f_m\to g$$ implica justamente que $$f_{m}^{(j)}$$ converge uniforme a $$g^{(i)}$$ en todo compacto $$K$$.
Para generar la topología, podemos considerar un conjunto numerable de seminormas, tomando solamente $$K = [-M, M], M\in \N$$, y $$n=M$$. Así, se define:
\[
p_n := p_{[-n, n], n}
\]
De forma que se considera su [[Topología inducida por funciones]], donde hay una base numerable de vecindades del 0 dada por:
\[
V_{n, k} = \left\{f\in C(\R)^\infty: p_n(f)\leq \frac{1}{k}\right\}
\]
La simplificación de la base ocurre por $$p_N(f)\leq \epsilon \implies p_{N+1}(f)\leq \epsilon$$.
Esta topología es un evt Hausdorff [[Ejercicio Pendiente]]. Para lo segundo, notar que si $$f\neq g$$, entonces existe algún $$N$$ suficientemente grande tal que $$p_N(f-g)\neq 0$$, de forma que las vecindades de cualquier $$f\in C^\infty$$ son de la forma $$f+V_{n, k}$$
[[Ejercicio Pendiente]] Ver que esta topología es metrizable vía
\[
d(f, g) = \sum_{n\in\N} \frac{1}{2^n}\frac{p_n(f-g)}{1+p_n(f-g)}
\]
Esta demostración será muy similar a la [[Caracterización de Banach separable]].
Se verá que en efecto es una distancia. Es claro que $$d(f, g)\geq 0$$. Más aún:
\[
\begin{aligned}
d(f, g) = \sum_{n\in\N} \frac{1}{2^n}\frac{p_n(f-g)}{1+p_n(f-g)} &= 0\\
\implies \forall n\in\N: p_n(f-g) &= 0\\
\implies \forall n\in\N: \sup_{x\in [-N+1, N+1]}|(f-g)(x)|&=0\\
\implies f&=g
\end{aligned}
\]
Para la desigualdad triangular, hay que observar que $$p_n(f-g)\leq p_n(f-h) + p_n(h-g)$$. Luego, por crecencia de $$\frac{x}{1+x}$$ se tiene:
\[
\begin{aligned}
\frac{p_n(f-g)}{1+p_n(f-g)} &\leq \frac{p_n(f-h) + p_n(h-g)}{1+p_n(f-h) + p_n(h-g)}\\
&= \frac{p_n(f-h) }{1+p_n(f-h) + p_n(h-g)} + \frac{ p_n(h-g)}{1+p_n(f-h) + p_n(h-g)}\\
&\leq \frac{p_n(f-h) }{1+p_n(f-h)} + \frac{ p_n(h-g)}{1 + p_n(h-g)}\\
\end{aligned}
\]
Como esto es cierto para cada $$n\in \N$$, se tiene en total de igual forma.
Ahora, se quiere ver la completitud. Considerar una sucesión de Cauchy, es decir, tal que $$d(f_n, f_m)\to0$$. Luego, por equivalencia de las topologías ([[Ejercicio Pendiente]]: Verificar este detalle), se tiene que para cada $$N\in\N, p_N(f_n-f_m)\to0$$
En particular, para $$N=0$$, se tiene que $$|f_n(x)-f_m(x)|\to 0$$ para $$x\in[-1, 1]$$. En particular, $$(f_n)$$ es de Cauchy en $$C^0[-1, 1]$$, que es un Banach. Así, existe $$f\in C^0[-1, 1]$$ tal que $$f_n$$ converge uniformemente en $$[-1, 1]$$ a $$f$$.
Ahora, en el caso $$p_N$$ se tiene un resultado análogo, donde se vé que $$(f_n^{(N)})$$ converge uniformemente en $$[-(N+1), N+1]$$ a $$f_N\in C[-(N+1), N+1]$$.
Pero más aún, como se tiene la convergencia uniforme, se tiene que $$f_N$$ es una extensión de $$f_{N-1}$$.
Por último, esta topología sigue la propiedad de Heine–Borel.
[[21/05/04]]
Primero se estudia la [[Recurrencia y transciencia de la marcha aleatoria en Z^d]]
!!Convergencia al equilibrio
Combinando el [[Límite de número de visitas antes de n sobre n]] con [[Existencia de estado recurrente positivo]] se tiene que:
\[
\lim_{n\to\infty} \frac{N_n(i)}{n} = \pi_i
\]
Luego, por el teorema de convergencia dominada se tiene que:
\[
\lim_{n\to\infty} \frac{1}{n}\sum_{k=0}^{n-1}\P(X_k=i)=\pi_i
\]
Una pregunta natural, es si los sumandos convergen, es decir, que dado $$\mu$$ se tenga:
\[
\lim_{k\to\infty}\P_\mu(X_k=i)\to \pi(i)
\]
Más específicamente, $$¿p_{ij}^{(n)}\to \pi(j)?$$. Primero, ya sabemos que $$\pi(j)>0$$, por lo cual una condición necesaria ya es que $$p_{ij}^{(n)}>0$$ para algún $$n$$ suficientemente grande, por lo cual debe ser una [[Cadena aperiódica]]. Veremos la próxima clase que esto es además una condición suficiente. Pero antes, consideremos una aplicación
!!Markov Chain Montecarlo
[[Pendiente]], es extra al ramo.
[[21/05/10]]
!![[Espacio afín de una cara]]
De esto, se ven ciertos corolarios. Por ejemplo:
* [[Caracterización poliedro de dimensión completa]]
* [[Caracterización de igualdad de caras]]
* [[Caras contenidas de igual dimensión son iguales]]
* [[Caracterización de facetas]]
Luego, se termina con el [[Teorema del rango]]
!![[Restricción irredundante]]
Con esta definición, es claro que todo poliedro se puede hacer irredundante al eliminar todas las restricciones redundantes. Así, se puede tomar sin pérdida de generalidad poliedros irredundantes.
Así, se puede definir la [[Representación minimal de un poliedro]]. Se tienen resultados simples:
* [[Faceta en poliedro minimal]]
* [[Toda cara es intersección de facetas]]
!!Caras minimales
Se vé la [[Caracterización de cara minimal]]
[[21/05/05]]
!!Operador adjunto
Primero, se define el [[Operador adjunto]], notando que [[Operador adjunto es isometría]] y [[Relación núcleo imagen del operador adjunto]]
De este resultado sale directamente que $$F^*$$ es inyectiva ssi $$Im\, F$$ es densa en $$Y$$.
En particular, si $$F$$ es sobreyectiva, entonces $$F^*$$ es inyectiva.
Sin embargo, se nota que inyectividad de $$F$$ no es suficiente para concluir que $$Im\, F^*$$ es densa en $$X^*$$ con respecto a la topología fuerte, pero sí con respecto a la [[Topología débil-*]].
Esto no es suficiente para obtener una recíproca del resultado anterior.
Para poder lograr este resultado, se tiene que ver la [[Composición de operador adjunto]]
Un corolario útil de este último resultado es que [[Operador biyectivo ssi adjunto biyectivo]]
!!Espacios $$L^p$$
Siempre se va a considerar un espacio con una [[Medida sigma finita]]. Los ejemplos notables son $$\R^n$$ bajo la medida de Lebesgue y $$\N$$ bajo la cuenta puntos.
Así, se define un [[Espacio L^p]], y se recuerdan sus propiedades:
* Todos los $$L^p$$ son espacios de Banach
* Cuando $$p, q$$ son Holder conjugados y el lado derecho es finito, se tiene que :\[\Vert fg\Vert_1 = \Vert f\Vert_p \Vert g\Vert_q\]
* Si $$f_n\subseteq L^p$$ converge a $$f$$, existe una subsucesión $$f_k$$ que preserva convergencia puntual ctp, y además está dominada ctp por alguna función $$h\in L^p$$
* [[Teorema de representación de Riesz (medida)]]
[[21/05/06]]
En búsqueda de demostrar el teorema del [[Convergencia al equilibrio]], se define un [[Coupling]], y se demuestran las [[Propiedades de un Coupling]]
[[21/05/14]]
!!__Caras minimales__
Esta clase es de [[Cara]]s minimales. Primero, se nota que [[Lineas de una cara son las del poliedro]]. De esto sale [[Lineas de cara minimal]]
Para tener esto como una caracterización, se da el [[Teorema de Hoffman-Kruskal]]
Una observación simple es que todas las caras minimales tienen la misma dimensión.
Más aún, sea $$\{F_i\}$$ cadena maximal de caras de $$P$$, Así, se tiene que:
\[
\dim\, F_i = \dim(\ker\, A) + i
\]
Por lo cual el largo de la cadena es $$\ell = n - \dim(\ker(A)) = \text{rango}(A)$$.
!!__Vértices__
Un uso particular es en el caso del un [[Poliedro puntiagudo]], donde esta cadena será de largo $$n$$. Se nota en particular para la [[Caracterización de puntiagudo]]
!!__Puntos extremos__
Se define un [[Punto extremo]], con la cual escribimos la [[Caracterización de vértice]]
[[21/05/10]]
!!Estudio de espacios L^p
A partir del [[Teorema de representación de Riesz (medida)]] se prueba que [[L^p es reflexivo para p>1]] y que [[L^1 no es reflexivo]].
Con esto, se puede ver que [[Continuas a soporte compacto son densas en L^p]] y que [[L^p es separable]]
!![[Espacio de Hilbert]]
Con motivación de definir derivadas en espacios más generales, que se utilizarán mucho en el curso de EDP.
Nuestro primer paso en este estudio son los espacios de Hilbert, que generalizan nociones del producto interno.
Primero, vemos que este cumple la [[Desigualdad de Cauchy-Schwarz]] y la [[Igualdad del paralelógramo]]
[[21/05/11]]
Se finaliza la demostración de [[Convergencia al equilibrio]].
Terminando esto, se pasa al concepto de [[Cadena reversible]], con el ejemplo de la marcha aleatoria simple en $$\Z/N\Z$$ dada por:
\[
p_{ij} = \begin{cases}
p &\text{ si } j \equiv_N i+1\\
1-p &\text{ si } j \equiv_N i-1\\
0 &\sim
\end{cases}
\]
[[Ejercicio Pendiente]]: Ver que $$\pi\equiv \frac{1}{N}$$ es invariante. Acá se ve que por la uniformidad de la medida, se tiene que $$P^* = P^\top$$. Por eso, la cadena sera reversible ssi $$P=P^\top$$, pero por la definición se tiene que esto ocurre ssi $$p=0.5$$
Con esto, se introduce la noción de [[Balance detallado]], pues nos dará un teorema útil para encontrar medidas invariantes: [[Balance detallado implica invarianza]]
[[21/05/24]]
!!__Rayos extremos__
A modo de continuar con el [[Punto extremo]], se define el [[Rayo extremo]]. Así, se tiene análogo a la clase anterior la [[Caracterización de rayo extremo]].
En luz de estas definiciones, se da un caso particular del [[Teorema de Minkowski Weyl]]: El [[Teorema de Minkowski Weyl puntiagudo]]
!!__Uso para optimización__
Terminando la teoría poliedral, ya tenemos resultados para optimización, Por ejemplo, empezamos con [[Solución PL en poliedro puntiagudo]]
Luego, se define [[Columnas base]], para poder definir una [[Solución básica factible]].
Combinar esto con la noción de vértices será clave para el [[Método simplex]]. Esta conexión está dada por [[Caracterización SBF]].
[[21/05/12]]
Una de las gracias de un [[Espacio de Hilbert]] es que nos permite proyectar tal como en $$\R^n$$, logrando definir una ortogonalidad y lograr usar una especie de [[Teorema de representación de Riesz (medida)]]. En particular, nos interesará que $$H$$ será reflexivo, y sus operadores serán sencillos de descomponer.
Entre sus propiedades ya demostradas, las siguientes son especialmente importante de recordar:
* [[Desigualdad de Cauchy-Schwarz]]
* [[Igualdad del paralelógramo]]
Para empezar a aprender de la [[Proyección]], se ve el teorema de [[Existencia y unicidad de la proyección a un convexo]]
Un caso interesante en es un espacio vectorial. Se demuestra que la [[Caracterización de proyección en sev]]. Más aún, [[Proyección en un sev es lineal contínua]]
[[21/05/13]]
!!Motivación
Ya se terminó la parte de la [[Cadena de Markov]] a tiempo discreto, por lo que ahora se quiere extender a tiempo contínuo.
Primero, hay que definir un [[Proceso Estocástico a tiempo contínuo]]
En eta clase se estudia un caso particular de estos procesos que es básico, interesante y aplicable: Los procesos de Poisson.
Antes de continuar, unos recuerdos de probabilidades:
!! Recuerdo de distribución exponencial.
Decimos que $$T\sim \exp(\lambda)$$ si su densidad es:
\[
f(x) = \lambda e^{-\lambda x}1_{x\geq 0}
\]
Con $$\E(t) = \frac{1}{\lambda}, \mathbb{V}(T) = \frac{1}{\lambda^2}$$.
Una de sus propiedades interesantes es que "no tiene memoria", es decir:
\[
\P(T>t+s|T>s) = \P(T>t)
\]
Y más aún, es la única distribución que tiene esta propiedad.
Esto es muy parecido a la [[Propiedad de Markov]], donde la información pasada no afecta al futuro.
Otras propiedades: Dado $$T_i\sim \exp(\lambda_i)$$ independientes, entonces:
* \[\min\{T_1, T_2\}\sim \exp(\lambda_1+\lambda_2)\]
* \[\P(T_1<T_2) = \frac{\lambda_1}{\lambda_1+\lambda_2}\]
* \[\text{Si } \lambda_i =\lambda: \sum_{i=1}^N T_i\sim \Gamma(n, \lambda)\]
!! Recuerdo de distribución Poisson
Decimos que $$X\sim \text{Poisson}(\lambda)$$ si $$X$$ toma valores en $$\N$$ y su masa es:
\[
\P(X=n) = e^{-\lambda}\frac{\lambda^n}{n!}
\]
Propiedad: Dado $$X_i\sim \text{Poisson}(\lambda_i)$$:
\[\sum X_i\sim \text{Poisson}\left(\sum\lambda_i\right)\]
Ahora, ya se puede definir lo que queríamos:
!![[Proceso de Poisson]]
Con la definición, no es obvio que siquiera exista un proceso así. En adelante se realizará una construcción canónica de estos proceos, que es muy similar a una construcción que se realizará después para procesos de Markov generales.
[[Construcción de un proceso de Poisson]]
!!__Teorema fundamental__
Cerrando la teoría poliedral, se da el [[Teorema fundamental de PL (simplificado)]].
Uno puede observar que un caso de [[Programa lineal]] fácil es aquel en que los [[Vértice]]s son todos enteros. Estos casos se conectan con una [[Matriz totalmente unimodular]]
!!__[[Método simplex]]__
[[21/06/02]]
Se define una [[Red neuronal]].
Estos modelos reciben los [[Datos]] crudos, sin requerir una transformación, pues el mismo modelo la construye. Se dice que es agnóstica a las características relevantes, pues la misma red los aprende, y estarían dados por $$\phi(x) = h^{(\ell)}U+c$$.
El teorema que nos permite concluir el poder de las redes es el [[Teorema de Aproximación Universal]]. Aún así, hay dos problemas con esto:
* Es un teorema de existencia de los pesos, no nos dice nada de donde están o si se pueden aprender
* No tenemos cota para la cantidad de neuronas necesarias
Por tanto, surge la necesidad de considerar arquitecturas más complejas, es decir, redes con mayor cantidad de capas (de profundidad).
Ahora, para aprender hay que considerar una función de costo. Interpretamos a una red neuronal como un [[Modelo generativo]], y así consideramos como costo la [[Entropía cruzada]]
Notar que el costo estará definido en gran parte por la unidad de salida dada por $$g$$. Algunos ejemplos de $$g$$ son:
* Identidad: Útil en [[Problema de regresión]], pues en este caso es equivalente al [[Criterio de mínimos cuadrados]]
* Sigmoidal: Se utiliza en [[Clasificación]] binaria, pues su output es $$\P(y=1|x)$$
* [[Función softmax]]: Se utiliza para clasificación multiclase.
El nuevo problema que surge que es una función de costos no será convexa: Ni el [[Método del gradiente estocástico]] garantiza una solución buena.
[[21/04/24]]
!!__Recuerdo__
* [[Existencia y unicidad de la proyección a un convexo]]
* [[Caracterización de la proyección]]
* [[Caracterización de proyección en sev]]
!!__[[Teorema de representación de Riesz]]__
Nos permite identificar $$H \cong H^*$$
!!__Aplicación en EDP__
Uno de nuestros intereses es la resolución de EDP.
Para darnos un ejemplo, sea $$\Omega$$ un abierto de $$\R^n$$, considerar:
\[
\begin{aligned}
-\nabla^{2}u + u &= f\\
u(t) &= 0:\, \forall t\in\partial\Omega
\end{aligned}
\]
Recordando que:
\[
\nabla^{2}u = \sum_{i=1}^n\frac{\partial^2 u}{\partial x_i^2}
\]
Ahora, supongamos que tenemos $$u$$ una solución del problema y $$\Omega$$ que cumpla la suavidad requerida para usar el teorema de divergencia.
Consideremos $$v\in C^\infty_0(\Omega)$$, es decir, las funciónes $$C^\infty$$ a soporte compacto en $$\Omega$$. Luego, se tiene que:
\[
-\nabla^{2}uv + uv = fv
\]
Integrando:
\[
-\int_\Omega \nabla^{2}uv +\int_\Omega uv = \int_\Omega fv
\]
Ahora, con [[Integración por partes]]:
\[
\begin{aligned}
\int_\Omega \frac{\partial^2 u}{\partial x_i^2}v &= \int_{\partial\Omega} \frac{\partial u}{\partial x_i}v \, \hat{n}_i\cdot dS - \int_\Omega \frac{\partial v}{\partial x_i} \frac{\partial u}{\partial x_i}\, dx \\
\end{aligned}
\]
Y sumando todos los términos:
\[
\begin{aligned}
\int_\Omega\nabla^{2}v &= \int_{\partial\Omega} v\sum_{i=1}^n \frac{\partial u}{\partial x_i} \, \hat{n}_i\cdot dS - \int_\Omega \nabla u\cdot \nabla v\, dx \\
\end{aligned}
\]
Ahora, como $$v\in C^\infty_0(\Omega)$$ se tiene que:
\[
\int_{\partial\Omega} v\sum_{i=1}^n \frac{\partial u}{\partial x_i} \, \hat{n}_i\cdot dS = 0
\]
Y en particular:
\[
\int_\Omega\nabla^{2}v = - \int_\Omega \nabla u\cdot \nabla v\, dx
\]
Volviendo a la expresión original:
\[
\int_\Omega \nabla u\cdot \nabla v + \int_\Omega uv = \int_\Omega fv
\]
Si un $$u$$ satisface esta igualdad para cada $$v\in C^2(\Omega)$$, se la llama una solución débil.
''Observación'' Una solución débil $$u\in C^2(\Omega)$$ es solución de la ecuación original. En efecto:
\[
\begin{aligned}
\int_\Omega \nabla u\cdot \nabla v + \int_\Omega uv &= \int_\Omega fv \\
-\int_\Omega\nabla^{2}v + \int_\Omega uv &= \int_\Omega fv \\
\int_\Omega(-\nabla^{2}u + u - f)v &=0\\
\end{aligned}
\]
En particular, por densidad de $$C_0^\infty(\Omega) $$ en $$L^2(\Omega)$$, se tiene que ctp se cumple la EDP. Por continuidad, se cumple siempre.
Se prefiere resolver la identidad con las integrales, pues acá podremos hacer la magia, notando que el lado izquierdo parece producto interno. Definimos un producto interno en $$C_0^\infty(\Omega)$$:
\[
(u, v) := \int_\Omega \nabla u\cdot \nabla v + \int_\Omega uv
\]
Más aún, definimos $$\phi\in C_0^\infty(\Omega)^*$$ por $$\phi(v) = \int_\Omega fv$$, de forma que el problema se vuelve el siguiente:
\[
(u, v) = \langle \phi, v\rangle
\]
Lo cual es extremadamente tentador usar el teorema de representación de Riesz, que no solamente da existencia, sino que da una forma explícita de obtenerlo.
Sin embargo, el problema es que $$ C_0^\infty(\Omega)$$ no es un espacio de Hilbert. Entonces, la idea es extender el espacio a uno Hilbert.
Definimos $$H_0^1(\Omega) = \overline{C_0^\infty(\Omega)}$$, cerradura con la norma:
\[
\Vert u\Vert := \sqrt{\int_\Omega |\nabla u| + \int_\Omega u^2}
\]
[[Ejercicio Pendiente]]: Demostrar que $$H_0^1(\Omega)$$ es un espacio de Hilbert con el producto:
\[
(u, v) = \lim_{n\to\infty}\, (u_n, v_n)
\]
Donde $$u_n\to u, v_n\to v, (u_n), (v_n)\subseteq C_0^\infty(\Omega)$$.
Ahora si podemos usar el TRR para determinar que existe un único $$u\in H_0^1(\Omega)\subseteq L^2(\Omega)$$ tal que para todo $$v\in H_0^1(\Omega)$$:
\[
(u, v) = \phi(v)
\]
¿Qué problemas hay con esto?
* $$u$$ no es necesariamente regular. En particular, no se puede recuperar una solución clásica en el espacio inicial. Para lidiar con esto, se quiere probar que regularidad de $$f$$ implicará regularidad de $$u$$.
* $$u$$ no satisface la condición de frontera. Esto no es siempre problemático, pues se puede redefinir $$u|_{\partial\Omega}$$ sin dejar de ser solución, dado que estas soluciones tienen traza.
[[21/05/25]]
!!__Idea__
Como en la clase anterior, estudiaremos el [[Proceso Estocástico a tiempo contínuo]], intentando generalizar de los [[Proceso de Poisson]].
Todavía queremos que se cumpla una [[Propiedad de Markov]], para que generalicen los resultados ya conocidos de los procesos discretos.
En particular, nos gustaría una propiedad del tipo:
\[
\E(f((X_{t+s})_{t\geq 0})|\Fel_s ) = \E_{X_S}(f((X_t)_{t\geq 0}))
\]
Donde necesitamos definir, entre otras cosas, el sigma álgebra $$\Fel_s$$ que generaliza la [[Filtración]] natural. También queremos ver cuales $$f$$ cumplirán esto. En particular, se tendrá:
\[
\Fel_s = \sigma(\{X_t, t\leq s\})
\]
En tiempo discreto, uno definía la [[Cadena de Markov]] como aquella que cumple la propiedad de Markov, y naturalmente obteníamos teoremas, pero aparecerán más dificultades técnicas.
Entonces, lo que haremos será construir un tipo de cadenas, y veremos que satisfacen la propiedad de Markov.
La primera dificultad técnica es que necesitaremos alguna hipótesis sobre las trayectorias $$t\mapsto X_t(\omega)$$ para $$\omega$$ fijo. En particular, se asumirá siempre que estas son continuas por la derechas. Pero como esto ocurre en un espacio discreto, esto es ser una constante por pedazos.
Notar que si no se hiciera una hipótesis así, un evento como $$\{\exists t\geq 0: X_t = i\}$$ podría ni siquiera ser medible, por lo cual no podríamos definir su probabilidad.
Pero esta continuidad por la derecha significa que su distribución está determinada por leyes finito dimensionales, es decir, estas cantidades:
\[
\P(X_{t_k} = i_k\, \forall k\leq n)
\]
Esto se puede demostrar, pero no se detallará más.
!!__Primeras definiciones__
Se definen los [[Tiempos de salto]] y [[Tiempos de espera]], graficados como tal:
{{salto_espera.png}}
Analicemos el primer tiempo de espera $$S_1=J_1-J_0=J_1$$. Luego:
\[
\begin{aligned}
\P_I(S_1 > t) &= \P_i(J_1 > t) \\
&= \P_i(X_s = i\, \forall s\in [0, t])\\
&= \E_i(1_{X_s = i\, \forall s\in [0, t]})\\
\end{aligned}
\]
Ahora, sea $$r\in [0, t]$$, de forma que:
\[
\begin{aligned}
\P_I(S_1 > t) &= \E_i(\E(1_{X_s = i\, \forall s\in [0, t]}|\Fel_r))\\
&= \E_i(\E(1_{X_s = i\, \forall s\in [0, r]}1_{X_s = i\, \forall s\in [r, t]}|\Fel_r))\\
&= \E_i(1_{X_s = i\, \forall s\in [0, r]}\E(1_{X_s = i\, \forall s\in [r, t]}|\Fel_r))\\
\end{aligned}
\]
Si suponemos que $$X$$ cumple la propiedad de Markov se tiene que:
\[
\begin{aligned}
\P_I(S_1 > t) &= \E_i(1_{X_s = i\, \forall s\in [0, r]}\E_{X_r}(1_{X_s = i\, \forall s\in [r, t]}))\\
&= \E_i(1_{X_s = i\, \forall s\in [0, r]}\E_{i}(1_{X_s = i\, \forall s\in [r, t]}))\\
&= \E_i(1_{X_s = i\, \forall s\in [0, r]})\E_{i}(1_{X_s = i\, \forall s\in [r, t]})\\
&= \P_i(J_1 > t - r)\P_i(J_1 > r)
\end{aligned}
\]
Lo cual es la propiedad de pérdida de memoria! En particular, si $$S_1$$ tiene distribución absolutamente continua, entonces es la exponencial.
Más aún, esto se cumplirá para todos los tiempos de espera.
El parámetro de esta distribución puede depender del estado actual, pero no de la trayectoria. A estos se los denotarán $$q_i$$.
[[21/06/04]]
!![[Generación de columnas]]
Considerar un problema primal donde $$A$$ tiene una cantidad enorme de columnas (es decir, muchas variables).
El enfoque para resolver este problemas será comezar con un conjunto pequeño de las columnas $$Q_0$$ que contenga una base factible, e ir agregando columnas de una en una.
!!Aplicación
Consideremos una fábrica de papel con rollos de ancho $$w$$. Llegan $$m$$ pedidos, que se ven de la forma $$(b_i, \omega_i)_{i\leq m}$$, es decir, hay $$b_i$$ pedidos de ancho $$\omega_i\leq w$$.
El objetivo es usar la menor cantidad de rollos posible para satisfacer todos los pedidos.
Decidir los cortes es un problema NP-completo, pero generación de columnas es una buena heurística, formulándolo como un PL grande.
Podemos definir patrones $$P$$ que codifican una secuencia de cortes:
\[
\Pel = \{P\in \Z^m: P^\top\omega \leq w\}
\]
Este conjunto es enorme. Sea $$X_p$$ la cantidad de rollos usados en el patrón $$p$$, de forma que nuestras variables serán $$(X_p)_{p\in\Pel}$$.
Así, el problema se formula como tal:
\[
\begin{aligned}
&\min\, \sum_{p\in\Pel} X_p\\
&\text{s.a.} \sum_{p\in\Pel} X_pp_j = b_j \, \forall j\in [m]\\
\end{aligned}
\]
Este es carísimo por la cantidad de columnas. Por tanto, se utiliza generación de columnas. Para esto, primero se debe generar [[Columnas base]] $$Q^0$$, para lo cual basta considerar la base canónica.
Lo interesante es que en este caso el pricing problem se puede reescribir como un PLE, que si bien suena inconveniente, es el problema de la mochila, del cual se conocen heurísticas veloces.
Hay varias formas de entrenar una [[Red neuronal]].
Par ello necesitamos algoritmos para transmitir información en la red. El más simple de estos, y el que está sugerido notacionalmente, es [[Forward propagation]], donde la información fluye a través de la red desde la entrada $$x$$ hasta la salida $$y$$.
Otra forma más interesante es [[Backpropagation]], en donde la información fluye de la forma inversa. Hay varias utilidades con esto:
* Tiene una estructura recursiva natural, y permitirá reducir costo computacional.
* Permite mejorar el uso de [[Método del gradiente estocástico]].
* Permite mejor paralelización vía GPU.
[[21/04/26]]
!!__Recuerdo__
* [[Existencia y unicidad de la proyección a un convexo]]
* [[Teorema de representación de Riesz]]
!!__Generalizando TRR__
La idea es tener un teorema como TRR, pero para una [[Forma bilineal]] (que asumiremos contínua) no necesariamente simétrica, es decir, que no cumple ser producto interno.
Similar a la clase anterior, esto se motiva en el contexto de EDP, y resolveremos una que no formará un producto interno.
Primero, caracterizamos la [[Continuidad de forma bilineal]], que nos permitirá definir una [[Forma coerciva]].
''Observación''
Si $$a$$ es simétrica y coerciva, entonces del teorema anterior induce la misma topología que el producto interno. En particular, se puede usar el TRR.
En particular, si $$\phi\in H^*$$, existe un único $$w\in H$$ tal que:
\[
a(w, b) = \langle \phi, v\rangle
\]
Más aún, para $$u\in H$$, como $$(v\mapsto (u,v))\in H^*$$, existe un único $$Au\in H$$ tal que $$a(Au, v) = (u, v)$$.
Cabe notar que $$(v\mapsto a(u,v))\in H^*$$ por la caracterización de la continuidad, por lo cual TRR nos da que $$a(u, v) = (Bu, v)$$ para un único $$Bu\in H$$. La unicidad de TRR nos permitirá ver que $$A, B$$ son contínuas. Para ver la continuidad:
\[
|Bu|^2 = (Bu, Bu) = a(u, Bu) \leq C|u||Bu|\implies |Bu| \leq C|u|
\]
\[
c|Au|^2\leq |a(Au, Au)| = |(u, Au)| \leq |u||Au|\implies |Au|\leq \frac{1}{C}|u|
\]
Juntando las definiciones de $$A, B$$ ([[Ejercicio Pendiente]]: Llenar detalles) se logra notar que $$A=B^{-1}$$.
Ahora, se quiere aplicar esto sin pedir simetría de la forma bilineal, para lo cual se necesitan teoremas más fuertes.
!!__[[Lema de Lax-Milgram]]__
Este teorema generaliza justo como queremos. Para demostrarlo, se requiere como paso intermedio el [[Teorema de Stampacchia]]
!!__Aplicación__
Sale en EDP's no simétricas, que no se pueden resolver con TRR como en la clase anterior.
[[Pendiente]]
[[21/05/27]]
!!__Q-matriz__
Como se introdujeron los conceptos de [[Tiempos de salto]] y [[Tiempos de espera]], se puede ahora definir el [[Proceso de saltos]].
Es fácil convencerse que si queremos que $$X$$ satisfaga la [[Propiedad de Markov]], entonces una condición necesaria es que el proceso de saltos sea una [[Cadena de Markov]] a tiempo discreto.
Recordamos la [[Construcción de una cadena de Markov]], que usaba una [[Matriz de transición]] y una [[Distribución inicial]] para construir la cadena.
En este caso, ya tenemos que los tiempos de salto son variables exponenciales de parámetros $$q_i$$ y tenemos la matriz de transición del proceso de salto. Quisieramos usar estos datos para definir la cadena de Markov.
Para esto, definimos una [[Q-matriz]] y su [[Matriz de saltos]] asociada. La matriz de saltos jugará el rol de la matriz de transición. Para que esto tenga sentido, se ve que [[Matriz de saltos es estocástica]]
La idea entonces es que $$Q$$ contiene toda la info necesaria para determinar la distribución de los tiempos de espera y el proceso de saltos de la cadena de Markov.
Necesitamos un detalle más antes de poder lograr una definición de esto.
!!__Explosión__
Dado un proceso estocástico $$X$$ continuo por la derecha, sus trayectorias pueden verse de tres maneras:
# Hay una infinidad de saltos, pero en cada intervalo finito hay una cantidad finita de saltos, en particular, $$J_n\to \infty$$ c.s. Este es el caso que más estudiamos.
# Hay una cantidad finita de saltos, es decir, el proceso es eventualmente constante. De nuevo, dentro de lo aceptable.
# Hay una infinidad de saltos en algún intervalo finito. Este es el problemático.
Notar que este es un problema muy específico del tiempo continuo. Este fenómeno se explicará con ciertas definiciones:
* [[Tiempo de explosión]]
* [[Proceso explosivo]]
El problema es que en un proceso explosivo los [[Tiempos de salto]] y el [[Proceso de saltos]] solo determinan las trayectorias del proceso en $$[0, t]$$, y no logra distinguir nada después.
!!__Cementerio__
Para resolver el problema anterior, se agrega un nuevo estado $$†$$ al espacio de estados $$I$$. A este estado se lo llama el cementerio. Luego, declaramos que:
\[
X_s = †\, :\forall s\geq t
\]
[[21/06/07]]
Esta clase se trata de una aplicación de [[Generación de columnas]]: La [[Descomposición de Dantzig-Wolfe]]
[[21/05/31]]
!!__Aplicación [[Lema de Lax-Milgram]] en EDP__
[[Pendiente]]
!!__Sumas infinitas__
La idea es poder escribir un elemento de un [[Espacio de Hilbert]] como una serie de elementos en una base más simple, o explícita de calcular.
Para esto, comenzamos definiendo una [[Suma directa]], que generaliza la noción al caso infinito agregando ortogonalidad.
Esto nos permitirá hablar de cosas como un "teorema de Pitágoras" dado por la [[Identidad de Bessel-Parseval]], lo cual requiere [[Límite l^1 de sucesión ortogonal en l^2]]
[[21/06/01]]
Se resolvieron dudas de control:
* El ejercicio en la [[Clase 01 Markov: Definiciones básicas, recuerdos de Probabilidades]] no necesariamente se cumple para cualquier tiempo aleatorio creaciente, lo garantiza para tiempos deterministas. Sin embargo, la [[Propiedad de Markov fuerte]] nos permite ver que sí se cumple para [[t.d.p.]]s
* $$\E(X|G)$$ es una proyección de $$X$$ es $$L^2(\Omega, \P, G)$$. Una forma de entender la identidad $$\E(X|\Fel)= X$$ cuando $$X$$ es $$\Fel$$-medible es porque $$\Fel$$ tiene toda la información de $$X$$, por lo cual saber de $$X$$ en $$\Fel$$ es suficiente para saber de todo $$X$$
* En particular, verlo como proyecciones explica porque en esperanzas anidadas nos quedamos con la más pequeña.
* Más aún, se ve que el punto donde comienza la esperanza interna lo da la propiedad de Markov fuerte, convirtiendo ese condicionamiento en un punto inicial
* Se repasa la con su intuición importante de la propiedad de Markov reiniciando la cadena.
* Notar que [[Unicidad de las medidas invariantes salvo múltiplo]] no se cumple si no existe una [[Distribución invariante]]
[[21/06/14]]
!!__Idea__
Queremos agregar cortes a un PLE (o PLM) que mejore la descripción. Considerar el problema P:
\[
\max\, \{c^\top x: x\in P(a, b)\cap \Z^n\}
\]
Ya sabemos que cuando $$P$$ es [[Polítopo]], podríamos reducir la formulación a cuando $$x$$ esté en la envoltura convexa, que es también un polítopo más pequeño $$P(A', b')$$.
De esta forma, podríamos reducirlo a un problema lineal puro, pero no tenemos garantías que $$A'$$ no crezca enormemente, lo cual lo hace nuevamente problemático.
Entonces, queremos aproximar la envoltura convexa, agregando restricciones de a poco, para lo cual se define un [[Plano cortante]].
!!__Algoritmos__
Supongamos que podemos encontrar planos cortantes. Esto nos permite tener un método genérico: [[Planos cortantes para PLE]]
''Obs'': Los solvers combinan [[Branch and Bound para PLM]] con este algoritmo, lo cual se llama [[Branch and cut]]
Sin embargo, para esto necesitamos un algoritmo de cortes. La primera familia de estos son los [[Corte de Chvátal]]
!!__Aplicación en [[Matching]]s__
Nos interesa el conjunto $$S = \{1_M: M\text{ es Matching}\}\subseteq \{0, 1\}^E$$.
Resolver problemas acá es interesante, pues cada elemento se asocia con un único matching $$M$$. Entonces, queremos escribir $$S$$ como un [[Conjunto Lineal Mixto]]. Basta considerar el [[Poliedro]] dado por:
\[
P := \{x \in\R^E: x(\delta(v))\leq 1\forall v\in V, x\geq 0\}
\]
De forma que $$S = P\cap \Z^E$$.
Cuando $$G$$ es bipartito, se tiene que $$S = P$$, pero de otra forma, no se tiene esta garantía. En particular, considerar un grafo triangular con pesos $$.5$$
Así, $$v = \begin{pmatrix}.5\\.5\\.5\end{pmatrix}$$ es la única solución del [[Programa lineal]] $$\max_{x\in P}\, \{1^\top x\}$$. Por [[Caracterización de vértice]], es vértice de $$P$$ no integral.
Luego, se quiere eliminar este vértice de $$P$$ para obtener un poliedro más cercano a $$S$$.
Sea $$W\subseteq V$$, de forma que $$\sum_{v\in W}x(\delta(v))\leq |W|$$, sumando las restricciones.
Pero más aún, el lado izquierdo cumple:
\[
\sum_{v\in W}x(\delta(v)) = 2x(E(W)) + x(\delta(W))
\]
En particular, como $$x(\delta(W)) \geq 0$$:
\[
x(E(W)) \leq \frac{1}{2}|W|
\]
La cual es una desigualdad integral que se puede volver un corte de Chvátal con el cajón inferior, y corta a $$v$$. Agregar todos los cortes nos permitirá recuperar el convexo de $$S$$, que es el poliedro que nos interesa.
Sin embargo, esto no siempre ocurre, hay casos en que no genera el convexo como se quiere.
Se define que son los [[Datos]]. Para entenderlo mejor, se distingue en este ejemplo con los conceptos de información (los patrones en los datos) y conocimiento (conexión de la información)
{{datos_informacion_conocimiento.png}}
Se distinguen entre los descritos:
* Cualitativamente: Información descriptiva
* Cuantitativamente: Información numérica
**Discreto: $$\N$$
** Continuo: $$\R$$
Existen varias formas de estructurar datos. En particular, podemos considerar un conjunto de objetos con [[Atributos]].
Para analizar los datos hay distintos enfoques:
* Analizar en base a las relaciones entre los datos.
* Extraer relaciones primero y luego trabajar con estos valores, no con los datos mismos.
Los [[Datos]] se distinguen según su estructura, pues hay [[Datos estructurados]], [[Datos semi-estructurados]] y [[Datos no estructurados]]
Los problemas con los datos estructurados es por la rigidez que tiene una tabla: Si uno quiere agregar nuevas columnas, pueden haber muchos valores vacíos en la tabla, si es que no se conoce el valor para un objeto en particular.
Por otro lado, los datos no estrucutrados son muy dinámicos, pero requieren mucho trabajo de preprocesamiento, pues la falta de estructura significa que no se pueden hacer operaciones rápidas con ellos.
Los datos semi-estructurados son un punto intermedio entre flexibilidad y estructura, que sacan ventajas y desventajas de ambos.
{{formatos_de_datos.png}}
Los tipos de datos son los tipo records (tablas), tipo grafos (diccionarios) y los ordenados.
Entre los datos ordenados tenemos:
* Datos secuenciales: Datos con tiempo asociado
* Datos sin tiempo
Pueden tener o no autocorrelaciones, es decir, que los objetos cercanos en la secuencia tinen [[Atributos]] parecidos.
Algunas características de los set de datos son:
* [[Maldición de la dimensionalidad]]
* Dispersión de los datos: En el caso de atributos binarios, no es necesario guardar todos los datos 0 (como se haría en una tabla), sino que en otras estructuras como grafos.
* Resolución: ¿Qué tanto podemos amplificar el espectro de análisis? Un ejemplo es que las variaciones de presión en horas es notoria, pero en meses no se detecta.
Respecto al problema de la [[Datos de mala calidad]], este es uno de los problemas grandes en ciencia de datos - pues usualmente no poseen la calidad deseada. Por eso, los algoritmos en [[Data mining]] se enfocan en:
* Detección y corrección de problemas de calidad
* Usar algoritmos que toleren datos de baja calidad
Algunos de los errores posibles son:
* [[Ruido]]
* [[Outliers]]
* Valores faltantes: Información no recolectada, o atributos no aplicables a ciertos objetos. Se pueden interpolar, eliminar o ignorar.
* Datos duplicados: Gran problema al juntas datos de múltiples fuentes, se pueden volver únicos si es que se quieren evitar.
* Datos mal ingresados
[[Link recomendado|https://www.kdnuggets.com/2015/05/7-methods-data-dimensionality-reduction.html]]
Para lidiar con el problema de los [[Datos de mala calidad]], las primeras técnicas de utilidad son el preprocesamiento, en particular, incluye:
* Creación de nuevos [[Atributos]]: Extraer atributos, mapearlos a un nuevo espacio (como aplicar una transformada de Fourier a una serie de tiempo ruidosa), o construir atributos
* [[Agregación de datos]]
* [[Muestreo]]: Importante no tener una muestra demasiado pequeña, pues losdatos pueden ser insuficientes.
** [[Muestreo aleatorio]]: Sistemáticamente, se puede elegir cada $$k$$ datos
** [[Muestreo estratificado]]
* [[Reducción de dimensionalidad]]: Usan árboles de desición como [[Random Forest]]/[[Ensemble Trees]], [[B/F Feature E/C]], o técnicas de álgebra lineal como [[PCA]], [[SVD]], [[ISOMAP]], que son automáticos, al costo de interpretabilidad
* Selección de atributos: Mismo objetivo de la reducción de dimensionalidad, pero usa técnicas distintas. Se pueden eliminar atributos si es que faltan demasiados datos (missing values ratio), atributos prácticamente constantes (low variance filter), o si está demasiado correlacionada con otra columna.
* Discretización: Decidir cuántas categorías tendremos, por ejemplo, en vez de considerar un valor continuo, crear una cantidad discreta de intervalos y anotar a cúal pertenece.
** Supervisando: Elegir las categorías manualmente
** [[Aprendizaje no supervisado]]: Usar algoritmos de [[Clustering]] como [[K-means]]
** Binarización
* Transformación: Aplicar una función a los datos, tal como $$\log$$ (para volver estructura multiplicativa en aditiva), $$|x|$$ para tener solamente positivos, $$\sqrt{x^2+y^2}$$ si se quiere datos de distancia dado datos de posiciones, o calcular un promedio para reducir la información de un atributo a solamente un número.
** Normalización: Escalar los atributos de razón para que estén en $$[0, 1]$$, y poder compararlos
[[21/06/02]]
!!__Recuerdo__
* [[Suma directa]]
* [[Límite l^1 de sucesión ortogonal en l^2]]
* [[Identidad de Bessel-Parseval]]
Estas nociones permiten definir el siguiente tema:
!!__[[Base ortonormal]]__
Esta bases son similares a las de álgebra, pero en realidad un elemento no es generado por una combinación lineal finita, sino que por un límite de estas, es decir, por una suma infinita.
En particular, logra escribir [[Elemento de un Hilbert con respecto a una base]]
Esto la distingue de una base de Hamel, que no puede aprovechar las nociones topológicas del espacio, por lo que no está bien definida una serie.
Con esto, queremos ver que se cumplan algunas de las propiedades conocidas de álgebra lineal.
Un resultado interesante, que usa varios otros del curso, es [[Convergencia de series en ortogonales]]
Para poder garantizar existencia, se tiene el resultado: [[Existencia base ortonormal numerable]]
[[21/06/03]]
!!__Proceso minimal__
En [[Clase 18 Markov: Q-matriz y explosión]] se habló del cementerio en términos sueltos, pero da las herramientas para definir un [[Proceso minimal]].
!!__¿Cuándo una cadena tiene explosión?__
Para responder eso, considerar primero el resultado de [[Convergencia de sumas de exponenciales iid]].
Por ejemplo, considerar el [[Proceso de nacimiento]]. En este caso, los [[Tiempos de espera]] son exponenciales independientes.
Del resultado anterior se tiene que hay dos posibilidades:
# \[
\sum_{n>0}\frac{1}{\lambdan} = \infty \implies \P\left(\zeta=\infty\right) = 1
\]
#\[
\sum_{n>0}\frac{1}{\lambdan} < \infty \implies \P\left(\zeta<\infty\right) = 1
\]
Donde $$\zeta$$ es el [[Tiempo de explosión]] del proceso. Notar que en particular, para $$\lambda_n = n^2\lambda$$, se tiene un [[Proceso explosivo]]
!!__Definiendo el proceso__
Con todo este preámbulo se logra definir el [[Cadena de Markov a tiempo continuo]].
Con esto, pasamos a la [[Construcción de un proceso de Markov continuo]]
[[21/06/18]]
Para el problema de la suficiencia de cortes mencionado en la clase anterior, se define la [[Cerradura de Chvátal]].
Notar que se podrá calcular vía [[Cerradura de Chvátal a coeficientes racionales]]. Luego, se nota que [[Cerradura de Chvátal es poliedro]]
[[21/06/07]]
!!__[[Operador adjunto]] en Hilbert__
La definición del operador adjunto depende del producto de dualidad utilizado, pero el [[Teorema de representación de Riesz]] nos permite pensar en este como el mismo producto interno.
Así, definimos [[Operador adjunto en Hilbert]].
Comparten algunas propiedades el operador adjunto. En particular, se deja de [[Ejercicio Pendiente]] ver:
* Es lineal
* Es contínua
* \[(S\circ T)^* = T^* \circ S^*\]
* \[\Vert T^*\Vert = \Vert T\Vert\]
Pero además, cumple la siguiente:
\[
T^{**} = T
\]
Con esto, se define un [[Operador autoadjunto]].
Una diferencia con el operador adjunto es la [[Relación núcleo imagen del operador adjunto]], acá se tiene [[Relación núcleo imagen en un Hilbert]]
!!__Operadores compactos__
Primero, se define un [[Operador compacto]]. Estos serán fáciles de trabajar, pues le podremos calcular 'valores propios', para poder descomponerlos de una manera fácil.
Estos aparecen en varias aplicaciones, por lo que estos sí serán interesantes, tal como los siguientes ejemplos:
!!!__Ejemplos__
[[Pendiente]]: Ejemplo de Operador compacto
!!!__Aplicaciones__
!!!!__Modelos de evolución__
Nos podemos interesar en un modelo de dispersión no local, que puede ser de la forma:
\[
\begin{aligned}
u_t(x, t) &= \int_0^1 k(x, y)u(y, t)\, dy - \int_0^1 k(y, x)u(x, t)\, dx\\
u(x, 0)&=u_0
\end{aligned}
\]
Uno puede ver esto como una EDO definida en el espacio de funciones contínuas.
Similar a variación de parámetros, nos interesa primero las soluciones de la forma $$e^{\lambda t}v(x)$$. Estas cumplen:
\[
\partial_t e^{\lambda t}v(x) = \lambda e^{\lambda t}v(x)
\]
Y así:
\[
\begin{aligned}
\lambda e^{\lambda t}v(x) &= \int_0^1 k(x, y)e^{\lambda t}v(y)\, dy - \int_0^1 k(y, x)e^{\lambda t}v(x)\, dy\\
v(0) &=u_0
\end{aligned}
\]
Simplificando:
\[
\lambda v(x) = \int_0^1 k(x, y)v(y)\, dy - v(x)\int_0^1 k(y, x)\, dy
\]
Para simplicar, considerar el caso que $$\int_0^1 k(y, x)\, dy=1$$, el problema queda de la forma:
\[
(\lambda + 1)v = Tv
\]
Donde $$Tv = \int_0^1 k(x, y)v(y)\, dy$$ es un operador compacto. Esto ya es un problema de valores propios.
!!!!__EDO__
Un tipo de operador compacto muy útil aparece en EDP, pero se verá un ejemplo en EDO. Por ejemplo:
\[
\begin{aligned}
u'' - u &= f\\
u(0) &= u(1) = 0
\end{aligned}
\]
La generalización en $$\R^n$$ de este problema se resolvió en [[Clase 17 Funcional: Representación de Riesz]].
En el curso de EDO, para resolver esto se consideran $$u_1, u_2$$ del problema de Cauchy homogéneo:
\[
\begin{aligned}
u_1(0) &= 1\\
u_2(0) &= 0\\
u_1'(0) &= 0\\
u_2'(0) &= 1\\
\end{aligned}
\]
Como el Wronksiano no es nulo, se tiene una base de soluciones.
Luego, para encontrar una solución particular se usa el método de variación de parámetros, considerando una solución de la forma $$u = v_1(x)u_1(x) + v_2(x)u_2(x)$$, que nos permite plantear un sistema de ecuaciones para obtener:
\[
u_p = \int_0^x G(x, t)f(t)\, dt
\]
Donde $$u$$ resuelve el problema de Cauchy con $$u_p(0)=u_p'(0)=0$$, pero no necesariamente el problema original. Sin embargo, ya se tiene que las soluciones del problema original son de la forma:
\[
u = Au_1 + Bu_2 + u_p
\]
Al imponer las condiciones de borde se tiene:
\[
\begin{aligned}
A &= 1\\
B &= -\frac{-\int_0^1 G(1, t)f(t)\, dt}{u_2(1)}
\end{aligned}
\]
El denominador no es uno, pues si no se tendría que $$u\equiv 0$$ es la única solución, pero este no es el caso. En particular:
\[
u(x) = \int_0^x G(x, y)f(y)\, dy - u_2(x)\int_0^1 G(1, y)f(y)\, dy =: Tu
\]
Donde $$T$$ es un operador compacto, y el problema se vuelve:
\[
(T-I)u = 0
\]
!!!!__Ecuación del calor__
Si nos interesa estudiar:
\[
\begin{aligned}
\partial_t u &= u_{xx}\\
u(x, 0) &= u_0(x)\\
u(0, t) &= u(1, t) = 0
\end{aligned}
\]
Nuevamente empezamos viendo soluciones de la forma $$u(x, t) = e^{\lambda t}v(x)$$, de forma que la ecuación se vuelve:
\[
\begin{aligned}
\lambda v(x) &= v_{xx}\\
v(0) &= v(1) = 0
\end{aligned}
\]
Por último, notamos que [[Espacio de compactos es cerrado en contínuas]]
[[21/06/08]]
!!__Propiedad de Markov__
Si bien ya se logró una definición y una construcción para [[Cadena de Markov a tiempo continuo]], no se vé que este nombre esté justificado por cumplir la [[Propiedad de Markov]].
Esta tendrá que ser modificada ligeramente, pues necesitamos que el tiempo ocurra antes de una explosión. Con esto en mente, se tiene la [[Propiedad de Markov continua]]
!!__Generalizando matrices de transición__
Primero, se define el [[Semigrupo de transición]]. Con esto, se tiene la [[Propiedad de semigrupo]].
Esta propiedad tiene interesantes propiedades si $$P$$ es derivable ([[Golazo]]: creo que en este caso, continuidad implica derivable), pues en este caso satisface la EDO $$P'(t) = P'(0)P(t)$$.
Esto motiva la [[Ecuación backward de Kolmogorov]], que nos permite definir el [[Semigrupo minimal asociado a Q-matriz]]
[[21/06/25]]
Se introduce el algoritmo [[Gomory-Chvátal]].
Se mencionó antes que los cortes no necesariamente corresponderán a la [[Envoltura]] convexa del [[Conjunto Lineal Mixto]].
Sin embargo, una noción que nos ayudará con este problema con las [[Cerraduras iteradas]], como lo garantiza el teorema de [[Cerraduras iteradas convergen a la envoltura convexa]].
Para demostrar esto se usaba un lema: [[PLE en cerradura iterada]]
[[21/06/09]]
!!__Recuerdo__
*[[Operador compacto]]
*[[Espacio de compactos es cerrado en contínuas]]
!!__Aproximando operadores compactos__
Un teorema interesante es que [[Operador de rango finito es compacto]]. Esto nos dice, dado la clausura, que un límite de operadores de rango finito es compacto.
Esto motiva a estudiar la recíproca, que nos permitiría tratar un operador compacto como límite de operadores de rango finito. Esto no necesariamente se cumple en un espacio de Banach, pero sí en un [[Espacio de Hilbert]]: [[Rango finito es denso en compactos de un Hilbert]].
Para ello, se demuestra primero que [[Composición con un compacto es compacto]]
!!__Ejemplo__
[[Pendiente]]
!!__Estudio de valores propios__
El propósito ahora es estudiar el operador $$\lambda I - T$$, donde $$T$$ es compacto. El problema de encontrar vectores propios, por ejemplo, será el de evaluar $$\ker(\lambda I - T)$$.
El "sueño", y propósito del resto del curso, es que dado un operador $$T$$, poder descomponer a $$E$$ en "espacios propios" $$V_n$$ que cumplan que cumplan:
\[
\begin{aligned}
E &= \bigoplus V_n\\
T|_{V_n}x &= \lambda_n x
\end{aligned}
\]
De forma que el operador sea diagonal. Para que esto ocurra en $$\R^n$$ ya se requiere que $$T$$ sea [[Operador autoadjunto]], por lo que estudiaremos esto un poco más.
!!__[[Operador adjunto]]__
Lo que se vé en esta clase que [[Operador compacto ssi adjunto compacto]]
[[21/06/10]]
Continuando con la [[Ecuación backward de Kolmogorov]], queremos conectarlas con las [[Cadena de Markov a tiempo continuo]]
Esta conexión se logra con la [[Caracterización de cadenas de Markov por semigrupo de transición]].
Más aún, se logra observar la [[Caracterización de generadora]]
[[21/06/14]]
Se contínua con el estudio de valores propios de la [[Clase 22 Funcional: Operadores compactos]], introduciendo el célebre [[Teorema de las alternativas de Fredholm]]
Terminando el [[Teorema de las alternativas de Fredholm]], se define el [[Espectro de operador]], que se caracterizarán en la siguiente clase para un [[Operador compacto]]
[[21/06/17]]
Terminando de demostrar los teoremas de la [[Clase 22 Markov: Caracterizando cadenas]], se define un [[Semigrupo markoviano]], y se da la [[Caracterización de semigrupo markoviano]]
Por último, se vé el teorema de [[Unicidad en el caso no explosivo]]
Primero se ve el ejemplo del [[Espectro de operador]] de $$L^2(\N)$$.
Luego, nos interesan algunas propiedades, como [[Espectro es compacto y acotado por norma]].
Más aún, se nota que el [[Espectro complejo no es vacío]].
Luego, se define la [[Resolvente del operador]]
[[21/06/22]]
!!__Ejemplo__
Consideremos el [[Proceso de nacimiento]]. Queremos calcular donde la cadena está en promedio, es decir, la cantidad:
\[
\mu(t) = \E_1(X_t) = \sum_j jp_{1j}(t)
\]
Para esto, una forma sería calcular los $$p_ij$$. Para esto, notamos que la matriz generadora está dada por:
\[
q_{ij} = \lambda_i ( \delta_{j, i+1}- \delta_{i, j} )
\]
Ahora, resolviendo la [[Ecuación forward]]:
\[
\begin{aligned}
p_{ij}'(t) &= \sum_{k}p_{ik}(t)q_{kj}\\
&= p_{i j-1}(t)\lambda_{j-1} - p_{ij}(t)\lambda_j
\end{aligned}
\]
Ahora, para el caso $$\lambda_n = n\lambda$$ se tiene:
\[
p_{ij}'(t) = (j-1)p_{i j-1}(t)\lambda - jp_{ij}(t)\lambda
\]
Uno podría ahora tratar de resolver $$p_{ij}$$, pero hay otra forma más fácil, y es notar que:
\[
\begin{aligned}
\mu'(t) &= \sum_{j\geq 1}jp_{1j}'(t)\\
&= \lambda\sum_{j\geq 1}j[(j-1)p_{1 j-1}(t)- jp_{1j}(t)]\\
&= \lambda\sum_{j\geq1}(j-1)^2p_{1 j-1}(t) - j^2p_{1 j}(t) + (j-1)p_{1j-1}(t)\\
&= \lambda\sum_{j\geq1} (j-1)p_{1j-1}(t)\\
&= \lambda\mu(t)
\end{aligned}
\]
Donde más aún, $$\mu(0) = E_1(X_0) = 1$$, por lo cual $$\mu(t) = e^{\lambda t}$$
!!__Clasificación__
Las nociones de [[Clase de estado]] y [[Comunicación de estados]] se generalizan al caso continuo, tomando los estados $$I$$ previos al [[Tiempo de explosión]].
Con esto se vé la [[Caracterización de comunicación]]. De esta se observa que no existe un problema análogo a la periodicidad en tiempo continuo.
!!__Explosión__
Se plantea la [[Caracterización de explosividad]]. Notar que para el proceso de nacimiento:
\[
(QZ)_i = \sum_j q_{ij}z_j = -\lambda_i z + \lambda_iz_{i+1}
\]
Luego, una solución de la ecuación cumple:
\[
z_{i+1} = \frac{\lambda_i+\theta}{\lambda_i}z_i
\]
Una solución $$z\neq 0$$, sin pérdida de generalidad cumple que $$z_0\neq 0$$. Así:
\[
\begin{aligned}
\frac{z_{i+1}}{z_i} &= \frac{\lambda_i+\theta}{\lambda_i}\\
\frac{z_{n}}{z_0} &= \prod_{i=1}^n\frac{\lambda_i+\theta}{\lambda_i}\\
z_n &= z_0 \prod_{i=1}^n\left(1 + \frac{\theta}{\lambda_i}\right)\\
\end{aligned}
\]
En particular, $$z$$ es acotado ssi $$\prod_{i\geq1}\left(1 + \frac{\theta}{\lambda_i}\right)$$ lo es.
Se define el [[Espectro puntual]], que nos da la definición de [[Valor propio]] y [[Vector propio]].
Nuestro mayor interés es el caso de que se tenga un [[Operador compacto]], en cuyo caso se tendrán las [[Propiedades del espectro compacto]]. Para demostrar esto, es necesario el lema [[Convergencia en el espectro]].
Ahora, se vé la forma del [[Espectro de operador autoadjunto]]
[[21/06/24]]
!!__Criterio simple explosividad__
La [[Caracterización de explosividad]] de la clase pasada no es siempre fácil de manejar. Por esto, se consideran las [[Condiciones suficientes de no explosividad]], que en la práctica son útiles.
!!__Recurrencia y transcencia__
Para generalizar estas nociones, se considera el [[Tiempo de retorno continuo]], lo cual permite que las definiciones de [[Estado recurrente]]/[[Estado transiente]] se generalicen.
Un caso que cabe observar es que si $$q_i=0, X_0=i$$ se tiene que $$J_1=\infty$$, por lo cual $$\tau_i = \infty$$, es decir, $$i$$ es transiente. Esto es una convención.
Para continuar, se ven las [[Propiedades de recurrencia continua]].
Con esto se generaliza la [[Dicotomía recurrencia-transiencia continua]]
Como corolario de la última proposición vista, de [[Espectro de operador autoadjunto]], tenemos que [[Espectro autoadjunto es el 0 ssi el operador es nulo]].
Esto nos sugiere que se cumpla algún tipo de "diagonalización" al agregar que trabajemos con un [[Operador compacto]], que complementará este resultado con el [[Teorema de las alternativas de Fredholm]], y llegamos al último teorema del curso: [[Descomposición espectral]]
[[21/07/06]]
Se define [[Medida Q-invariante]], viendo [[Caracterización de medida invariante]].
Notar que la definición de [[Recurrente positivo]] cambia un poco.
Luego, estas permiten generalizar la [[Existencia de estado recurrente positivo]] con [[Caracterización cadena no explosiva con distribución invariante]].
Por último, se tiene la [[Unicidad de las medidas invariantes salvo múltiplo]].
Se define el [[EDA]].
Entre las estadísticas de resumen, se destaca como ejemplos:
* Tendencia central: Media, mediana, moda.
* Dispersión: Desviación estándar, rango.
Importantemente: Se muestra lo sensible que es la media a los outliers, a diferencia de la mediana, que es una medida de tendencia central robusta, es decir, resiste cambios al agregar ruido.
Ahora se hablan de otras medidas
* [[Percentil]]: El mínimo es el percentil 0, la mediana es el percentil 50 y el máximo es el percentil 100.
* [[Cuartil]]
Luego, se definen medidas de dispersión, tales como:
* Rango
* Desviación estándar
* [[AAD]]
* [[MAD]]
* [[IQR]]
Estos últimos 3 son particularmente robustos.
Para entender la correlación, primero se define [[Covarianza]]. Así, uno puede construir una [[Matriz de covarianza]].
Si bien la covarianza nos da una medida de correlación lineal, depende de la escala de cada variable, dificultando análisis. Así, se define el [[Coeficiente de Pearson]].
Para poder entender una relación entre variables categóricas, uno no puede calcular correlaciones. Una posibilidad es crear una [[Tabla de contingencia]]
Queremos transformar un dataset a un formato visual que permita a personas identificar algunas de sus características y relaciones.
En general (no siempre):
* Los objetos se representan por puntos
* Los valores de los atributos se representan como posición o características de los puntos (color, tamaño, forma, etc)
* Cuando la posición es la utilizada, es simple detectar grupos de objetos (clusters) o para encontrar outliers.
Entre posibles gráficos están:
* Histograma: Pra estudiar como se distribuyen los datos. Divide los elementos en bins, y se crean gráficos de barra para cada bin, y la altura de cada barra indica el número de elementos en el bin correspondiente.
* Densidad: Es una versión suave del histograma, calculado usando funciones de kernel.
* Pie chart: Representa la frecuencia relativa de una variable categórica como la porción de un círculo.
* Boxplot: Construye un rectángulo entre el primer y tercer [[Cuartil]] $$Q_1, Q_3$$, con una línea en la mediana. A la caja se le agregan bigotes de largo $$1.5(Q_3-Q_1)$$. Se declara que un dato es outlier si está más allá de los bigotes.
Los scatterplot usan coordenadas cartesianas para mostrar los valores de dos variables numéricas del mismo largo. Los valores de los [[Atributos]] determinan la posición de los elementos. Si se tienen más atributos, se pueden distinguir con tamaño, forma o color de los objetos.
Para el caso multdimensional, se pueden usar gráficos de coordenadas paralelas, que en vez de usar ejes perpendiculares, usa varios ejes parelelos. Cada atributo es representado por uno de los ejes con sus respectivos valores - los valores de los atributos se escalan para que cada eje tenga la misma altura. Una observación es una línea que une los ejes de acuerdo a los valores, por lo cual objetos similares se agrupan en trayectorias similares.
Se habla más sobre el problema de [[Clasificación]].
Para este curso introductorio, usualmente se asume que el clasficador es binario, pues la generalización a los clasificadores multiclase requiere entender bien el caso binario.
Los componentes principales de un modelo de clasificación:
* Conjunto de entrenamiento
* Algoritmo de clasificación
* Conjunto de validación
El conjunto de entrenamiento se alimenta al algoritmo de clasificación, y esto retorna un clasificador. Luego, el clasificador se evalua en los atributos del conjunto de validación, de forma que retorna una categoría - se debe ver que tan real son estas categorías que predice el clasificador, comparando con las reales del conjunto de validación
{{clasificador.png}}
Ejemplos de tareas de clasificación:
* Predecir si células de tumores son malignas o benignas
* Predecir respuesta de células cancerígenas a ciertas drogas
* Clasificar transacciones de tarjetas de crédito como legítimas o fraudulentas
* Predecir clientes en alto riesgo de “fuga”
* Categorizar tweets (sentimiento, geolocalización, y mucho más)
* Detección de caídas de Netflix usando clasificación de tweets
En esta clase se realiza la introducción, ejemplos y casos de uso para el [[Clustering]].
!!Introducción:
Con la definición considerada, nos realizamos la pregunta ¿Cuando y para qué usar clustering?
La respuesta es cuando necesitemos dividir nuestros datos en grupos que sean significativos, útiles e importantemente, deben capturar la estructura natural de os datos.
En particular, nos permite entender mejor nuestros datos, y puede ser parte del proceso de la exploración de estos.
El problema es muy similar al de [[Clasificación]], pero se distingue en que clustering un tipo de [[Aprendizaje no supervisado]], pues no existen clusters ya determinados.
!!Aplicaciones generales:
* Data understanding: Encontrar clusters naturales y describir sus propiedades
* Data class identification: Encontrar agrupamientos útiles
* Data reduction: Encontrar representantes para grupos homogéneos
* Noise detection: Encontrar perturbaciones aleatorios de los datos
!!Aplicaciones específicas:
* WWW: clasificación de documentos en buscadores
* Reconocimiento de patrones.
* Procesamiento de imágenes: Agrupar galaxiaso animales.
* Recomendaciones: Definir grupos de usuarios para determinar buenas recomendaciones.
!!Análisis de clusters
¿Cómo determinamos que tan bueno es un cluster? Intuitivamente, hay dos criterios que queremos que cumplan:
{{cluster_distancia.png}}
Una métrica para esto es [[SSE]].
Sin embargo, cabe destacar que la noción de cluster puede ser ambigua:
{{ambiguedad_clusters.png}}
No es obvio que una de estas sea la respuesta correcta, y depende de las características de los datos y de nuestros objetivos.
!!Tipos de clustering:
Es importante distinguir entre:
* [[Clustering particional]]
* [[Clustering jerárquico]]
* [[Clustering difuso]]
!!Propiedades de clusters
Estos son las cosas que optimizarán los distintos algoritmos de clustering:
* Clusters bien separados: Cualquier punto en un cluster es más similar a cualquier otro punto en el mismo cluster que a cualquier punto fuera de este.
* Clusters basados en un centro: Un objeto dentro del cluster es más similar al centro de este cluster que al centro de cualquier otro. El centro de un cluster puede ser el centroide, el promedio de todos los puntos en el cluster, o el medioide, el punto más “representativo” del cluster
* Clusters contiguos: Un punto en un cluster es más similar a uno o más puntos en el cluster que a cualquier punto no en el cluster
* Clusters densos: Un cluster es una región densa de puntos, separada por regiones de baja densidad de otras regiones de alta densidad. Esto es usado cuando los clusters son irregulares o están entrelazados, y cuando hay ruido y outliers
!!Algoritmos de clustering:
* [[K-means]]
* [[Bisecting K-means]]
Se sigue en el contexto del problema de [[Clustering]], introduciendo los siguientes algoritmos para resolverlo:
* [[K-means]]
* [[Método jerárquico aglomerativo]]
* [[DBSCAN]]
En esta clase se detalla del primer método.
!!K-means:
Hay que aclarar ciertos detalles del algoritmo:
Los clusters a los que se converge depende de los centroides iniciales. En la práctica, una manera de hacerlo es asignar centroides aleatorios, varias veces, y quedarse con la que minimice el [[SSE]]. Notar que por la enorme cantidad de elección de centroides, no es posible probar todas las combinaciones. Otra solución es [[Bisecting K-means]].
Hay que medir cercanía, para lo cual usualmente se usa distancia euclideana.
K-means converge para distancias comunes, pero no necesariamente a los clusters óptimos.
En la práctica, puede converger en pocas iteraciones, pero la complejidad teórica es $$O(nKId)$$, con $$n$$ datos, $$K$$ centros, $$I$$ iteraciones y $$d$$ dimensiones. Esto lo hace susceptible a la [[Maldición de la dimensionalidad]].
Otro problema con K-means es que puede retornar clusters vacíos, es decir, un centroide con asigne ningún punto hacie él. Para resolver algunas estrategias posibles intercambiar este punto por un punto:
* Más lejano a todos los centroides como el nuevo centroide (el punto que más contribuye al SSE)
* Aleatorio del cluster con mayor SSE, dividiendo a este cluster.
El preprocesamiento es importante: Hay que normalizar los datos (por problemas con la medida de distancia) y eliminar outliers (que dan SSE no representativo)
También nos permite hacer un postprocesamiento, pues podemos considerar clusters pequeños como outliers para eliminarlos, dividir los clusters con alto SSE y mezclar clusters cercanos de bajo SSE. Además, podemos evaluar el cluster según nuestro conocimiento de los datos.
K-means no logra encontrar bien clusters con:
* Distintos tamaños
{{k_means_vs_tamaños.png}}
* Distintas densidades
{{k_means_vs_densidad.png}}
* Con topologías extrañas a la distancia, como formas no esféricas.
{{k_means_vs_no_esferico.png}}
Estos tres problemas se puede solucionar eligiendo $$K$$ alto, y luego mezclar clusters con distintas técnicas, como visualización 2D a través de [[PCA]]
Según el uso del modelo, este se puede considerar como estos tipos de métodos
* [[Métodos descriptivos]]: Puede permitir entender cuales son las categorías son las más importantes para saber que etiqueta es la correcta para la distinción.
* [[Métodos predictivos]];
Notas:
* La clasificación es mejor para datos binarios y nominales, ya que no consideran la relación de orden entre las clases ni información de sub/super clases. Los algoritmos en los que nos enfocaremos serán así.
* El modelo construido debe ser “generalizable”, es decir, debe aprender bien con muchos tipos de datos nuevos, aún si salen de otro conjunto.
Entonces, esta debe ser una medida de que tan bueno es un modelo. Para esto, se puede:
* Utilizar [[Performance metrics]]
* Comparándolo con el desempeño de otros modelos posibles (bajo error de entrenamiento)
* Probando con datos de prueba y otros datasets (generalizable, i.e. bajo error de generalización)
La métrica de desempeño más utilizada es el Accuracy (exactitud). Para esto, se considera la matriz de confusión indexada por las clases $$\{0, 1\}$$, la posición $$i, j$$ tiene los datos tales que su clasificación real es $$i$$, y la clasificación predicha es $$j$$.
En particular, se ve así:
{{confusion_matrix.png}}
Luego, la exactitud es la proporción de clasificaciones correctas sobre la cantidad de los datos, o sea, está dada por:
\[
\frac{TN+TP}{TN+TP+FP+FN}
\]
Las técnicas de clasificación a mencionar son:
• Basados en Árboles de Decisión
• Métodos basados en Reglas
• Razonamiento en base a memoria
• Redes Neuronales
• Naïve Bayes y Redes de Soporte Bayesianas
• Support Vector Machines
Esta clase se enfoca en detallar del [[Clustering jerárquico]]
!!Visualización
* [[Dendograma]]
* Diagrama de clusters anidados (Venn)
!!Fortalezas
* No es necesario suponer un números de clusters
* Pueden corresponder a taxonomía
!!Tipos
*[[Clustering aglomerativo]]
*Clustering divisivo: En contraste al caso anterior, se empieza con un cluster que contenga a todos los puntos, y en cada paso, se divide un cluster en dos hasta que todo cluster contenga un solo punto (o haya k clusters). Esto es similar a lo visto en [[Bisecting K-means]]
!!Clustering Aglomerativo
Para ese primer caso, una operación clave es la elección de la función de distancia entre los clusters. Algunas posibilidades son
* Distancia mínima (single link): Puede manejar formas no-elípticas, pero es sensible a ruido y outliers.
* Distancia máxima (complete link): Es más robusta, pero tiende a quebrar clusters grandes, y está sesgado a clusters esféricos.
* Distancia promedio: Es un compromiso entre los dos otros casos, perdiendo la tendencia a quebrar clusters grandes.
* Distancia entre centroides
* Método de ward: Similitud entre clusters se basa en el incremento del [[SSE]] cuando se mezclan dos clusters, es similar a la distancia promedio.
!!!Limitaciones:
* Una vez decidido unir dos clusters, no se puede deshacer
* No hay una función objetivo que sea directamente minimizada
* Problemas de distintos esquemas:
** Sensibles a ruido y outliers
** Dificultad para manejar clusters de distinto tamaño
**Pueden romper clusters grandes
Esta clase se basa en el algoritmo [[DBSCAN]], que al basarse en densidades tiene grandes fortalezas
!!Fortalezas:
* Resistente al ruido
* Puede encontrar clusters de diferentes formas y tamaños
!!Debilidades:
* Densidades variables: clusters de baja densidad son confundidos con ruido.
* [[Maldición de la dimensionalidad]]: La noción de densidad se va perdiendo.
!!Escogiendo parámetros
Para elegir ambos parámetros, analizamos el comportamiento de la distancia de un punto a su $$k$$-ésimo vecino más cercano ($$k$$-dist).
Para puntos que no pertenecen a un cluster (como los
noise points), el valor de k-dist será alto.
De esta forma, calculamos el valor de k-dist para todos los puntos con un
valor de k fijo y los ordenamos de manera creciente, y lo graficamos:
{{dbscan_parametros.png}}
Notamos que existe un salto en el gráfico, que será en un punto $$(\epsilon, n)$$, que será una buena elección para los parámetros.
!!Dificultades de validar
Para el problema de [[Clasificación]], siempre estamos optimizando algún valor, por lo cual siempre ocurre una validación. Esto es posible por ser un ejemplo de [[Aprendizaje Supervisado]]
Sin embargo, esto no ocurre para [[Clustering]], pues uno no tiene métrica con cual trabajar, dado que es [[Aprendizaje no supervisado]]
Existen varias dificultades validando:
* No existe ninguna métrica que se pueda optimizar
* Cada algoritmo tiene su propio tipo de evaluación
* Un cluster siempre existe, aún en datos aleatorios (los algoritmos no fallan)
!!¿Es necesario hacerlo?
Sin embargo, esto importante hacerlo, necesitamos tener una idea si el resultado es bueno o no, recordando nuestras motivaciones iniciales para un problema de clustering:
* Clustering es muchas veces parte de un proceso exploratorio, por lo que queremos entender los datos. Malos clusters causan un malentendimiento de los datos
* Queremos evitar encontrar patrones en el ruido
* Para comparar algoritmos de clustering diferentes
* Para comparar conjuntos de clusters diferentes
* Para comparar dos clusters
!!Aspectos de la validación
La validación intenta, entre otras cosas:
* Determinar la tendencia real de agrupamiento, es decir, no aleatoria
* Encontrar el número correcto de clusters
* Evaluar qué tan bien los resultados se ajustan a los datos (sin consultar datos externos)
* Comparar resultados con resultados externos, i.e.: clases asignadas manualmente (supervisado o eval externa)
* Comparar dos conjuntos de clusters para saber cuál es mejor
Para esto, existen ciertas medidas;
!!Medidas de validez:
* External index (supervisado): Utiliza comparación con datos externos ([[Pureza de cluster]],[[Entropía de cluster]], validación de expertos), para ver si el clustering se ajusta a una estructura externa.
* Internal Index (No-Supervisado) Sin datos externos [[SSE]], cohesión, separación.
* Relative Index (Relativo) Comprara resultados de clustering o clusters, puede usar medidas anteriores.
Idealmente, se debería combinar medidas externas e internas.
!!Interos:
* Medir la correlación entre la matriz de incidencia (que codifica la relación de estar en el mismo cluster) con la matriz de proximidad: Esta no es una buena manera para validar clusters basados en densidad.
* Ordenar la matriz de similitud con respecto a etiquetas de clusters e inspeccionar visualmente. Acá un ejemplo bueno contra uno malo:
{{buen_cluster.png}}
{{mal_cluster.png}}
La nitidez de la matriz nos permite entender que tan bueno es el cluster. Esto es mejor para métodos no basados en densidad, pero también existen patrones para estos, como se muestra:
{{dbscan_buen_cluster.png}}
* Se puede graficar el SSE para distintas cantidades de clusters, y elegir la cantidad tal que el error sea suficientemente pequeño.
*El SSE mide que la cohesión de los clusters (que tan cercanos son los objetos en un cluster), pero también queríamos maximizar la diferencia entre cada cluster, que estará dado por el [[BSS]]. Otras medidas internas pueden estar dadas por grafos, sumandos pesos de los arcos intracluster (cohesión) o intercluster (separación). Más aún, está el coeficiente de Silhouette
* Un cluster se considera mejor si no es generado al azar, es decir, que sean atípicos. Para esto, podemos hacer simulaciones aleatorias, y anotar métricas dadas sus clustering, para tener una idea de su distribución. Luego, se puede determinar si la métrica que el clustering da sobre los datos reales pudo haber sido generadad por esa distribución.
!!__¿Qué son__?
La idea es encontrar relaciones entre [[Atributos]] en grandes volúmenes de [[Datos]]. A diferencia de clustering, acá se agrupan atributos en vez de instancias.
Esta es un tipo de [[Aprendizaje no supervisado]].
A diferencia de los otros problemas estudiados en el curso, estos tienen solución exacta, por lo cual nuestro criterio principal de evaluación de un algoritmo será su eficiencia.
Idealmente, se está trabajando con datos categóricos y binarios.
Es adaptable para trabajar con secuencias, grafos y otros tipos de entradas estructuradas.
!!__Aplicaciones__
Muchos negocios acumulan grandes cantidades de datos sobre sus operaciones diarias (como transacciones en una tienda).
Aprender de estos datos permiten entender el comportamiento de los clientes, y esta información se puede usar para la mejor toma de decisiones.
Otras aplicaciones aparecen en la bioinformática, diagnóstivo médico, web mining, análisis de datos científicos. En el caso de ciencias de la tierra, las asociaciones pueden revelar conexiones entre el océano, la tierra y procesos atmosféricos.
!!__Ejemplo__
{{tabla_asociacion.png}}
En este caso podemos ver que siempre que se compra pañales, se compra cerveza, por lo cual esta relación se puede sugerir con la regla:
\[
\{\text{Diapers}\}\to \{\text{Beer}\}
\]
Lo cual es información útil, por ejemplo, para encontrar oportunidades de venta cruzada de productos.
!!__Definiciones básicas__
Primero, se tiene que definir un [[Itemset]] y ciertas mediciones básicas que les realizamos:
* [[Itemset support count]]
* [[Itemset support]]
* [[Itemset frecuente]]
Con esto, se define una [[Regla de asociación]], y sus siguientes métricas:
* [[Support]]: Notar que si es bajo, pudo haber co-ocurrencia aleatoria, por lo que elimina reglas poco interesantes.
* [[Confidence]]: Mide que tanto podemos confiar en la inferencia, pues estima $$\P(Y|X)$$
Con esto, ya se plantea el [[Problema de asociación]]
!!__Consideraciones__
* Siempre pueden ocurrir asociaciones aleatorias de poco valor.
* Hay que tener precaución en la interpretación de resultados: Correlación no implica causalidad.
!!__Motivación__
Primero, para entender porque nos interesan algoritmos veloces para el [[Problema de asociación]], notamos que el algoritmo de fuerza bruta (listar todas las [[Regla de asociación]], y filtrar como corresponda) no es viable, pues hay $$O(3^d)$$ reglas para $$d$$ items.
Nuestra idea, entonces, es primero solamente considerar los itemsets frecuentes, pues el cálculo del [[Support]] solamente depende del [[Itemset support count]] de $$X\cup Y$$.
Más aún, este es el numerador del [[Confidence]], y el denominador es elegir $$X$$ pequeño.
!!__Generar reglas de asociación__
Primero, como todas las posibles reglas del mismo itemset tienen el mismo soporte, se puede dividir la tarea en dos pasos:
# Generar los itemsets más frecuentes (los de soporte mayor a minsup)
# Particionar los itemsets binarios para obtener reglas de confianza mayor que minconf.
Esta idea ya lo mejora, pero el primer paso es muy costoso, y nos enfocaremos en este primero.
!!__Generación de itemsets frecuentes__
En este paso fuerza bruta no es viable, queremos reducir el número de itemsets candidatos. En el siguiente ejemplo se visualiza el espacio de búsqueda de itemsets:
{{itemset_lattice.png}}
Una de las primeras observaciones que hacemos es el [[Principio a priori]], que nos permitirá diseñar algoritmos rápidos para resolver el problema de generación, pues el espacio de búsqueda se simplifica: Cuando un nodo es frecuente, se marcan todos sus subconjuntos como frecuentes, y viceversa.
Con esto, se plantea el [[Algoritmo a priori]]
!!__Recuerdo__
Habíamos dividido el [[Problema de asociación]] en 2: Generar [[Itemset frecuente]]s (que se resolvió con el [[Algoritmo a priori]] y generar reglas de asociación a partir de estos, que es el trabajo de ahora.
!!__Generación de reglas__
Queremos dado un itemset frecuente $$I$$, lo particionamos en $$X, Y$$ para formar todas las [[Regla de asociación]] $$X\to Y-X$$ que satisfagan la restricción de minconf.
Lo bueno es que calcular la [[Confidence]] de una regla generada de itemsets frecuentes no es caro, pues todos los [[Support]] que se utilizan ya están almacenados en el hash tree que utiliza el algoritmo a priori, por [[Principio a priori]].
La generación de reglas es cara de realizar por fuerza bruta, pues no es generar todas las biparticiones para los itemsets frecuentes, para cada k-[[Itemset]] hay $$O(2^k)$$ biparticiones, por lo cual también necesitamos un algoritmo, que utilizando [[Poda de confianza]], similar al principio a priori, pero sobre el espacio de reglas: [[Generación de reglas en apriori]]
En la clase anterior, se encontró una resolución eficiente del [[Problema de asociación]]
Un problema de algoritmos de este estilo es que tienden a producir demasiadas reglas. Por ejemplo, pueden crear reglas redundantes, como $$\{A, B, C\}\to D$$ y $$\{A, B\}\to D$$ pueden tener el mismo [[Support]] y [[Confidence]].
Entonces, queremos crear métricas que midan interés de los patrones, además de las ya planteadas.
!!__Medidas objetivas de interés__
Acá se tienen por ejemplo las ya mencionadas. Se busca ahora descartar reglas que asocian itemsets que son estadísticamente independientes entre sí.
Toda la información requerida se encontrará en una [[Tabla de contingencia de regla]]
!!!__Desventajas de confidence__
Considerar la siguiente tabla:
{{tabla_contingencia_regla.png}}
Acá se ve que:
\[
\begin{aligned}
s(\text{Té}\to\text{Café}) &= 0.15\\
c(\text{Té}\to\text{Café}) &= \P(\text{Té|Café)} = 0.75\\
\end{aligned}
\]
Pero $$\P(\text{Café})= 0.9$$. La fracción de personas que toman café independientemente si toman té es 0.9. Saber que alguien toma té baja su probabilidad de tomar café de 0.9 a 0.75.
A pesar de que el confidence es alto, la regla es engañosa! No está aumentando la probabilidad del consecuente. Esto ocurre pues la confianza ignora el soporte del consecuente de una regla.
!!!__Medidas estadísticas__
La primera a mencionar es [[Lift]]: Mide la independencia estadística de los eventos. En el caso enterior, se vé que este es 0.83, es decir, existe una asociación negativa.
La literatura propone muchas métricas:
{{metricas_reglas.png}}
!!__Medidas subjetivas de interés__
Es difícil elegir bien una métrica. Otra posibilidad es rankear los patrones de acuerdo a la interpretación de un usuario. Por ejemplo, un patrón se puede considerar interesante si:
* Contradice las expectativas de un usuario
* Si es "actionable", es decir, si es puede usar como razón para hacer algo
Estos ocurre varias veces en minería de datos: Existe una relación entre interés y expectativas.
Por un lado, tenemos una necesidad de modelar las expectativas de un usuario, que nuestros modelos consideren el conocimiento del dominio. Así, hay que combinar estas expectativas son la evidencia que nos presentan los datos.
{{expected_vs_interest.png}}
Se define la clase de $$i\in I$$, denotada por $$C(i):=[i]$$ con la relación de equivalencia inducida por la [[Comunicación de estados]].
A una clase $$C$$ se le apellida cerrada si se tiene que $$i\in C, i\to j\implies j\in C$$. Se denotará $$C(i) := [i]$$
{{clase_de_estados.png}}
Es una [[Clase de estado]] donde todos los estados son [[Estado recurrente]]
Es una [[Clase de estado]] donde todos los estados son [[Estado transiente]]
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
Dado un set de entrenamiento (atributos incluyendo clase) del cual aprender, esta técnica aprende (a través de [[Aprendizaje Supervisado]]) automáticamente cómo clasificar objetos en dos o más categorías. Este aprendizaje se basa en datos previamente etiquetados, como por ejemplo por un experto.
Su objetivo es asignar la "mejor" clase posible a nuevos datos. Para determinar que tan bueno es, se utiliza un set de evaluación distinto al de entrenamiento.
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Como le pongo nombre a esto aaaa
!!Hipótesis
Considerar funciones $$\{f_i\}_{i\leq k}\subseteq E^{*}$$ y escalares $$\{y_i\}_{i\leq k}\subseteq\R$$
!!Conclusión
Los siguientes son equivalentes:
# \[
\forall \epsilon >0 \exists x_\epsilon\in B_E:\, \min_{i\leq k}\, |\langle f_i, x_\epsilon\rangle - y_i|<\epsilon
\]
#\[
\forall \beta\in\R^k:\, | \beta\cdot y| \leq \Vert \beta\cdot f\Vert_{E^*}
\]
!!Demostración
!!!$$\implies$$
Sea $$\beta\in\R^k, \epsilon>0$$. Considerar:
\[
\begin{aligned}
\left|\sum_{i\leq k} \beta_i y_i\right| - \left|\sum_{i\leq k} \beta_i \langle f_i, x_\epsilon\rangle\right|
&\leq \left|\sum_{i\leq k} \beta_i \langle f_i, x_\epsilon\rangle - \sum_{i\leq k} \beta_i y_i\right|\\ &\leq \sum_{i\leq k} \left|\beta_i \langle f_i, x_\epsilon\rangle - \beta_i y_i\right|\\
&\leq\max_i\, \beta_i \sum_{i\leq k} \left|\langle f_i, x_\epsilon\rangle - y_i\right|\\
&\leq k\epsilon\max_i\, \beta_i \\
&\leq k\epsilon\Vert \Beta\Vert_\infty
\end{aligned}
\]
En particular:
\[
\begin{aligned}
\left|\sum_{i\leq k} \beta_i y_i\right|&\leq k\epsilon\Vert \beta\Vert_\infty + \left|\sum_{i\leq k} \beta_i \langle f_i, x_\epsilon\rangle\right| \\
&\leq k\epsilon\Vert \beta\Vert_\infty + \left|\left\langle\sum_{i\leq k} \beta_i f_i, x_\epsilon\right\rangle\right| \\
\end{aligned}
\]
Y como tenemos una función lineal continua:
\[
\begin{aligned}
\left|\sum_{i\leq k} \beta_i y_i\right|&\leq k\epsilon\Vert \beta\Vert_\infty + \left\Vert\sum_{i\leq k} \beta_i f_i \right\Vert\Vert x_\epsilon\Vert
\end{aligned}
\]
Tomando $$\epsilon\to 0$$ se tiene lo pedido.
!!!$$\impliedby$$
Sea $$\varphi: E\to\R^k$$ definida por $$x\mapsto \varphi(x) = (\langle f_i, x\rangle)_{i\leq k}$$, que es lineal contínua.
Así, se quiere ver que $$\gamma \in\overline{\varphi(B_E)}$$. Por contradicción, asumir lo contrario.
Como $$B_E$$ es convexo, por linealidad se tiene que $$\varphi(B_E)$$ lo es, por lo cual se puede usar [[Separación de un punto]] para tener una función lineal $$l$$ en $$\R^k$$ dada por $$l(x) = v\cdot x$$, y que para algún $$\alpha$$:
\[
v\cdot z < \alpha < v\cdot \gamma \, :\forall z\in \overline{\varphi(B_E)}
\]
En particular, por la definición de $$\varphi$$:
\[
\sum_{i\leq k}v_i\langle f_i, x\rangle < \alpha < v\cdot \gamma \, :\forall x\in B_E
\]
Luego, notar que:
\[
\begin{aligned}
\sum_{i\leq k}v_i\langle f_i, x\rangle &= \langle \sum_{i\leq k}v_i f_i, x\rangle\\
\sup_{x\in B_E}\sum_{i\leq k}v_i\langle f_i, x\rangle &=\sup_{x\in B_E} \left\langle \sum_{i\leq k}v_i f_i, x\right\rangle\\
&=\left\Vert \sum_{i\leq k}v_i f_i \right\Vert\\
\end{aligned}
\]
Por lo cual se tiene:
\[
\left\Vert \sum_{i\leq k}v_i f_i \right\Vert \leq \alpha < v\cdot \gamma
\]
Lo cual es una contradicción.
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
[[Métodos descriptivos]]
Dado un conjunto de datos, cada uno con un set de atributos y una medida de similitud. Asi, se busca encontrar subconjuntos de los de los datos llamados clusters, que cumplirán que:
* Los puntos en un cluster son similares entre sí
* Puntos de diferentes clusters sean menos similares entre sí
{{clustering.png}}
Es un tipo de [[Clustering jerárquico]], donde se empieza con un punto como un cluster individual, y cada paso, mezclar el par de clusters más cercano
hasta que quede sólo un cluster (o k clusters).
!!Algoritmo
```
Calcular matriz de distancias
Sea cada punto un cluster
while |clustering| > 1:
Mezclar par de clusters más cercano
Actualizar matriz de distancias
```
!!Complejidad
Espacio: $$O(N^2)$$ con $$N$$ el número de puntos
Tiempo: $$O(N^3)$$ pasos, pero con estructuras de datos buenas (listas ordenadas, heaps) se puede en $$O(N^2 \log(N))$$
Es un tipo de [[Clustering]], pues cada objeto pertenece a un cluster con un peso de pertenencia en $$[0, 1]$$, que se interpreta como una probabilidad.
Es un tipo de [[Clustering]] donde hay clusters anidados, organizados como un árbol dado por la relación de subconjunto.
Es un tipo de [[Clustering]] donde se pide que los clusters sean una partición de los datos.
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
Dado datos $$x, y$$, su correlación lineal está dada por:
\[
r(x, y) = \frac{cov(x, y)}{sd(x)sd(y)}
\]
Donde cov es la [[Covarianza]].
Notar que $$r(x, y)\in[-1, 1]$$. Un valor cercano a $$1$$ representa correlación lineal positiva, un valor cercanos $$0$$ representa que no hay correlación lineal y $$-1$$ representa una correlación lineal negativa.
Se dice que $$B\subseteq [n]$$ es base de $$A\in \R^{m\times n}$$ si las columnas de $$A^B$$ forman base de $$\R^m$$.
Es una combinación lineal tal que todos los escalares suman 1.
Es una [[Combinaciones de vectores]] tal que todos los escalares son no negativos.
Es una [[Combinación afín]] que también es [[Combinación cónica]].
Se refiere a una combinación lineal de un conjunto de vectores $$\{x_i\}_{i\leq n}$$, es decir:
\[
\sum_{i\leq n}\lambda_i x_i
\]
Al agregar más condiciones sobre $$\lambda_i$$, se le cambia el apellido de la combinación, como los casos:
* [[Combinación afín]]: Si $$\sum_{i\leq n}\lambda_i = 1$$
* [[Combinación cónica]]: Si $$\forall i\leq n:\, \lambda_i \geq 0$$
* [[Combinación convexa]]: Lineal y cónica.
!!__Hipótesis__
Considerar un [[PC lineal]] con $$A\in L_\text{loc}^\infty(I, \R^{n\times n}), B\in L_\text{loc}^\infty(I, \R^{n\times m}), r\in L_\text{loc}^\infty(I, \R^{n})$$ y $$U$$ compacto
!!__Conclusión__
$$\text{Acc}_U(x_0, T)$$ es compacto
!!__Hipótesis__
Sean $$E, F, G$$ espacios de Banach, $$T:E\to F, S:F\to G$$, tal que al menos uno de los dos son [[Operador compacto]]
!!__Conclusión__
$$S\circ T$$ es compacto
!!__Demostración__
[[Ejercicio Pendiente]]
!!Hipótesis
Sean $$F\in\Lel\Cel(X, Y), G\in\Lel\Cel(Y, Z)$$ para espacios de Banach $$X, Y, Z$$, con sus [[Operador adjunto]] $$F^*, G^*$$
!!Conclusión
\[
(G\circ F)^* = F^*\circ G^*
\]
!!Demostración
Si se puede notar que $$(G\circ F)^*: Z^*\to X^*$$. Luego:
\[
\begin{aligned}
\langle (G\circ F)^*(z^*), x\rangle &= \langle z^*, (G\circ F)x\rangle\\
&= \langle z^*, G(F(x))\rangle\\
&= \langle G^*(z^*), F(x)\rangle\\
&= \langle (F^*\circG^*)(z^*), x\rangle\\
\end{aligned}
\]
Concluyendo lo pedido.
Decimos que $$i, j$$ se comunican, denotado $$i\leftrightarrow j$$, si
\[i\to j\wedge j\to i\]
Es decir, [[Llevar estados]] para ambos lados.
Elementos técnicos del cuerpo y de la voz, que le dan expresividad a lo que decimos: Postura, desplazamiento, gestos, foco, volumen, velocidad del habla, flujo del habla, entonaciones vocales, articulación, y por sobre todo respiración.
Estos son los conceptos con una definición no matemática en el notebook:
{{{[tag[Concepto]]}}}
Sean eventos $$A, B, C\in\Fel$$ una $$\sigma$$-álgebra, se dice que $$A$$ y $$B$$ son independientes condicionalmente
a $$C$$ si
\[\P(A\cap B| C) = \P(A|C)\P(B|C)\]
!!__Hipótesis__
Sea $$X\sim CM(Q)$$ tal que alguna de estas condiciones se verifica:
# $$I$$ finito
# \[\sup_{i\in I}\, q_i <\infty\]
# La cadena subyacente es [[Cadena recurrente]] (partiendo de $$X_0$$)
!!__Conclusión__
$$X$$ no es [[Proceso explosivo]]
Para una [[Regla de asociación]] $$X\toY$$ su confianza mide que tan frecuentemente los ítem en el [[Itemset]] $$Y$$ aparecen en transacciones que contienen a $$X$$
\[
c(X\to Y) = \frac{\sigma(X\cup Y)}{\sigma(X)}
\]
Donde $$\sigma$$ denota el [[Itemset support count]]
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
!!Hipótesis
Sean $$A$$ los [[Puntos accesibles]] de un [[PC lineal]]
!!Conclusión
$$A$$ es convexo
Son la restricción de [[Poliedro]] en el que algunas coordenadas deben tomar valores enteros, es decir, la intersección de un poliedro con $$\Z^E\times\R^C\subseteq\R^n$$, donde $$E, C$$ son una partición de $$[n]$$, donde las coordenadas en $$E$$ se llamaran variables enteras, y las coordenadas en $$C$$ son variables continuas.
El apellido del Conjunto Lineal puede cambiar en estos casos:
* $$C=[n]: S$$ es poliedro (o conjunto lineal puro)
* $$E=[n]: S$$ es conjunto lineal entero
* $$S\subseteq\{0, 1\}: S$$ es conjunto lineal binario
Se dice que $$U\subseteq\R^n$$ es simétrico si:
\[
a\in U\iff -a\in U
\]
$$C\subseteq\R^n$$ se dice cono si para todo elemento $$x\in C$$ y escalar $$\lambda \geq 0$$ se cumple que $$\lambda x \in C$$
''Proposición''
Sea $$C$$ un [[Cono]] [[Acotado]]
''Conclusión''
\[
C = \{0\}
\]
''Demostración''
Suponer lo contrario, sea $$x\in C\setminus\{0\}$$, donde se toma que $$C\subseteq B(0, r)$$.
Tomando $$\lambda = \frac{r+1}{\Vert x\Vert}\geq 0$$ se tiene que $$\lambda x\in C$$ por ser cono. Luego:
\[
\Vert \lambda x\Vert = \lambda\Vert x\Vert = r+1 > r
\]
Lo cual contradice el acotamiento.
Sea $$P$$ un [[Poliedro]]. Se define su cono de recesión como tal:
\[
\text{rec}(P) = \{r\in\R^n: \forall x\in P, \forall \lambda\geq 0, x+ \lambda r\in P\}
\]
Es decir, son las direcciones por las que uno no escapa de $$P$$.
Sea $$C$$ un cono. El cono dual de $$C$$ se define como:
\[
C^* := \{a\in\R^n: a^\top x \leq 0, \forall x\in C\}
\]
!!__Hipótesis__
Sea $$\mu$$ una [[Distribución inicial]] y $$Q$$ una [[Q-matriz]] ambas indexadas en $$I$$.
Considerar $$Y\sim CM(\mu, R)$$ con $$R$$ la [[Matriz de saltos]] asociada a $$Q$$ y $$S_n = \frac{\tilde{S_n}}{q_{Y_{n-1}}}$$ para $$\tilde{S_n} \sim \exp[1]$$ iid y $$J_n = \sum_{k\leq n} S_k$$
!!__Conclusión__
El proceso dado por:
\[
X_t = \begin{cases} Y_n &\text{ si } t\in [J_n, J_{n+1})\\
† &\sim
\end{cases}
\]
Es una [[Cadena de Markov a tiempo continuo]] $$CM(\mu, Q)$$
!!__Observación__
Se puede realizar también una construcción iterativa, que es más amistoso de implementar computacionalmente.
''Hipótesis''
Sean $$S_i\sim\exp(\lambda)$$ independientes. Definimos las [[Variable aleatoria]]s $$(T_n)_{n\in\N}$$ dadas por:
\[
T_n := \sum_{i=1}^n S_i
\]
''Conclusión''
El proceso $$(N_t)_{t\geq 0}$$ dado por:
\[
N_t = \max\{ n\geq 0: T_n \leq t\}
\]
Es [[Proceso de Poisson]] de tasa $$\lambda$$ (Notar que $$N_0=0$$)
''Demostración''
Primero se verá que $$N_t\sim \text{Poisson}(\lambda t)$$.
Notemos lo siguiente, que se deja de [[Ejercicio Pendiente]]:
\[
\begin{aligned}
\{N_t=n\} &= \{\max\{ n\geq 0: T_n \leq t\}=n\} \\
&= \{T_n\leq t \wedge \forall k \geq n: T_n>t\} \\
&= \{T_n \leq t < T_{n+1}\}
\end{aligned}
\]
Entonces, con probabilidades totales:
\[
\begin{aligned}
\P(N_t=n) &= \P(T_n \leq t < T_{n+1})\\
&= \int_0^t \P(T_n\in ds)\P(T_n\leq t < T_{n+1}|T_n=s)\\
&= \int_0^t f_{T_n}(s)ds\P(T_n\leq t < T_{n+1}|T_n=s)\\
\end{aligned}
\]
Recordando que la suma de exponenciales distribuye como una $$\Gamma$$, se tiene:
\[
f_{T_n}(s) = \lambda e^{-\lambda s}\frac{(\lambda s)^{n-1}}{(n-1)!}
\]
Por otro lado:
\[
\begin{aligned}
\P(T_n\leq t < T_{n+1}|T_n=s) &= \P(s\leq t < T_{n+1}|T_n=s)\\ &= \P(s\leq t < T_n + s_{n+1}|T_n=s)\\
&= \P(s\leq t < s + s_{n+1}|T_n=s)\\
&= \P(0\leq t-s < s_{n+1}|T_n=s)\\
\end{aligned}
\]
Más aún, se tiene que $$T_n\perp S_{n+1}$$, por lo cual:
\[
\begin{aligned}
\P(0\leq t-s < s_{n+1}|T_n=s) &= \P(s_{n+1}> t-s)) = \exp(-\lambda(t-s))
\end{aligned}
\]
Por lo tanto:
\[
\begin{aligned}
\P(N_t=n) &= \int_0^t \lambda e^{-\lambda s}\frac{(\lambda s)^{n-1}}{(n-1)!} \exp(-\lambda(t-s))ds\\
&= \lambda^n\exp(-\lambda t) \int_0^t \frac{ s^{n-1}}{(n-1)!} ds\\
&= \lambda^n\exp(-\lambda t) \frac{t^{n-1}}{n!} \\
&= e^{-\lambda t} \frac{\lambda^n t^{n}}{n!}
\end{aligned}
\]
Por lo cual $$N_t\sim \text{Poisson}(\lambda t)$$
''Hipótesis''
Sea $$(\Omega, \Fel, \P)$$ un espacio de probabilidad con una sucesión de v.as $$(u_n)$$ i.i.d $$U[0, 1]$$, y una v.a $$\zeta_0\sim\mu$$
Sea $$\phi:[0, 1]\times I\to I$$ medible.
Definimos un proceso estocástico $$X = (X_n)$$ como sigue:
\[
X_n = \begin{cases}\zeta_0 \text{ si } n = 0\\
\phi(u_{n-1}, X_{n-1}) \text{ si no} \end{cases}
\]
''Conclusión''
Con $$P_{ij} = \P( \phi(u_0, i) = j)$$ se tiene $$X\sim CM(\mu, P)$$.
''Demostración''
[[Ejercicio Resuelto]]
Con $$n>0$$:
\[
\begin{aligned}
\P(X_n=i_n|X_{n-1}=i_{n-1},\ldots,X_0=i_0)
&= \P(\phi(u_{n-1}, X_{n-1})=i_n|X_{n-1}=i_{n-1},\ldots,X_0=i_0)\\
&= \P(\phi(u_{n-1}, j)=i|X_{n-1}=i_{n-1}) \\
&= \P(\phi(u_{n-1}, j)=i)\\
&= P_{ij}
\end{aligned}
\]
Por lo cual $$X$$ es una [[Cadena de Markov]] con [[Matriz de transición]] $$P$$. Más aún, uno nota que $$X_0 = \zeta_0 \sim \mu$$, por lo cual su [[Distribución inicial]] es $$\mu$$, que es lo que se quería demostrar.
''Proposición''
Para $$1\leq p <\infty$$ se cumple el título.
''Demostración''
[[Pendiente]]
!!__Hipótesis__
Sea $$H$$ un [[Espacio de Hilbert]] con una [[Forma bilineal]] $$a$$
!!__Conclusión__
Los siguientes son equivalentes:
# $$a$$ es contínua
# $$a(u, \cdot), a(\cdot, v)$$ son siempre contínuas
# Existe una constante $$C$$ tal que $$|a(u, v)| \leq C|u|v|$$
!!__Demostración__
$$3\implies 2\implies 1$$ es fácil.
Para $$2\implies 3$$ se tiene que usar [[Principio de la cota uniforme]]. [[Ejercicio Pendiente]] completar esto.
''Proposición''
Sea $$F: (Z, \tau)\to (Y, \tau_Y)$$ con $$\tau_y$$ la topología inducida por funciones $$(\phi_\lambda)_{\lambda\in\Lambda}\subseteq W^Y$$.
''Conclusión''
\[
F \text{ es continua } \iff \forall\lambda\in\Lambda: \phi_\lambda\circ F\text{ es continua}
\]
''Demostración''
Para $$(\implies)$$, por definición se tiene que $$\phi_\lambda$$ es continua en $$X$$, y por hipótesis, como $$F$$ es continua, se tiene que su composición es continua.
Luego, para $$(\impliedby)$$, tomar un abierto arbitrario $$U$$ en $$X$$ (acá se cumple $$\forall a\in A: |I_a|<\infty$$)
\[
\begin{aligned}
U &= \bigcup_{a\in A}\bigcap_{i\in I_a} \phi_\lambda(U_i)\\
F^{-1}(U) &= \bigcup_{a\in A}\bigcap_{i\in I_a} F^{-1}(\phi_\lambda(U_i))\\
\end{aligned}
\]
Por hipótesis, esto también es abierto, por lo cual $$F$$ es continua.
Las fuentes del material presente son las cátedras del profesor Héctor Ramirez
<<toc-selective-expandable 'Control Óptimo' sort[title]>>
Decimos que un sistema es controlable desde $$x_0\in\R^n$$ en un tiempo $$T>0$$ si $$Acc(x_0, T) = \R^n$$.
* Se dice que sea controlable en un tiempo $$T>0$$ si: \[\bigcap_{x_0\in\R^n}Acc(x_0, T) = \R^n\]
* Se dice que es controlable si: \[\bigcap_{T>0}\bigcap_{x_0\in\R^n}Acc(x_0, T) = \R^n\]
!!Hipótesis
Sea $$X$$ [[Cadena aperiódica]] con [[Distribución invariante]] $$\pi$$, considerar un estado $$j\in I$$
!!Conclusión
\[
\lim_{n\to\infty} \P_\mu(X_n=j) = \pi(j)
\]
Si más aún $$I$$ es finito, la convergencia es uniformemente exponencial, es decir, existen $$c>0, \alpha\in (0, 1)$$ tales que:
\[
\sup_{i, j\in I}\, |p_{ij}^{(n)} - \pi(j) | \leq c\alpha^n
\]
En la práctica, esto nos dice que buena convergencia puede tomar muy pocos pasos.
!!Demostración
Sea $$Y\sim CM(\pi, P)$$. Como $$\pi$$ es invariante, se tiene que:
\[
\forall n\in\N:\, \P( Y_n=j) = \pi(j)
\]
(El subíndice ya se explicitó antes, así que quedará implícito)
Por esto, basta demotrar que:
\[
|\P( X_n=j) - \P( Y_n=j)| \to 0
\]
Tomemos $$X, Y$$ independientes, y consideremos el [[Coupling]] $$(X, Y)$$. Ahora, definamos el tiempo de coalescencia:
\[
T = \inf\, \{n\geq 1: X_n = Y_n\}
\]
Este es un [[t.d.p.]] para la cadena acoplada, y además, por [[Propiedades de un Coupling]], es tiene que este es recurrente. En particular:
\[
\infty > \tau_{(i, i)}
\]
Pero además, $$T\leq \tau_{(i, i)}$$, por lo cual es un tiempo finito.
Ahora, se define un nuevo [[Proceso Estocástico]]:
\[
Z_n = \begin{cases}X_n &\text{ si } n< T\\ Y_n &\sim\end{cases}
\]
{{coupling_coalescencia.png}}
Primero se demostrará que $$Z\sim CM(\mu, P)$$.
En efecto uno ve que $$Z_0 = X_0\sim \mu$$. Más aún, sean $$(\Fel_n^X), (\Fel_n^Y), (\mathcal{G}_n)$$ las [[Filtración]]es naturales asociadas a los procesos.
Notemos que $$\Fel_n^X\vee \Fel_n^Y \supseteq \mathcal{G}_n$$.
Ahora, se calcula:
\[
\begin{aligned}
\P(Z_{n+1}=j|\mathcal{G}_n) &= \P(Z_{n+1}=j, n<T|\mathcal{G}_n) + \P(Z_{n+1}=j, n\geqT|\mathcal{G}_n)\\
&= \P(X_{n+1}=j, n<T|\mathcal{G}_n) + \P(Y_{n+1}=j, n\geqT|\mathcal{G}_n)\\
\end{aligned}
\]
Ahora, se estudia cada sumando por separado:
\[
\begin{aligned}
\P(X_{n+1}=j, n<T|\mathcal{G}_n) &= \E(\P(X_{n+1}=j, n<T|\Fel_n^X\vee \Fel_n^Y)|\mathcal{G}_n))\\
&= \E(\E(1_{X_{n+1}=j}1_{n<T}|\Fel_n^X\vee \Fel_n^Y)|\mathcal{G}_n))\\
&= \E(1_{n<T}\E(1_{X_{n+1}=j}|\Fel_n^X\vee \Fel_n^Y)|\mathcal{G}_n))\\
\end{aligned}
\]
Más aún, por independencia de $$X$$ con $$Y$$ se tiene que:
\[
\P(X_{n+1}=j, n<T|\mathcal{G}_n) = \E(1_{n<T}\E(1_{X_{n+1}=j}|\Fel_n^X)|\mathcal{G}_n))
\]
Lo cual permite usar la [[Propiedad de Markov débil]] en $$X$$:
\[
\begin{aligned}
\P(X_{n+1}=j, n<T|\mathcal{G}_n) &= \E(1_{n<T}\E_{X_n}(1_{X_{1}=j})|\mathcal{G}_n))\\
&= \E(1_{n<T}\P_{X_n}(X_{1}=j)|\mathcal{G}_n))\\
&= \E(p_{X_n j}1_{n<T}|\mathcal{G}_n)\\
\end{aligned}
\]
Análogamente:
\[
\P(Y_{n+1}=j, n\geqT|\mathcal{G}_n) = \E(p_{Y_n j}1_{n\geqT}|\mathcal{G}_n)
\]
Y en conclusión:
\[
\begin{aligned}
\P(Z_{n+1}=j|\mathcal{G}_n) &= \E(p_{X_n j}1_{n<T} + p_{Y_n j}1_{n\geqT}|\mathcal{G}_n)\\
&= \E(p_{Z_n j}1_{n<T} + p_{Z_n j}1_{n\geqT}|\mathcal{G}_n)\\
&= \E(p_{Z_n j}|\mathcal{G}_n)\\
&= p_{Z_n j}\\
\end{aligned}
\]
Lo cual demuestra que $$Z\sim CM(\mu, P)$$
Ahora, esto permite el siguiente desarrollo:
\[
\begin{aligned}
\P(X_n=j) &= \P(Z_n=j) \\
&= \P(X_n=j, n<T) + \P(Y_n=j, n\geq T) \\
&\leq \P(n<T) + \P(Y_n=j) \\
\end{aligned}
\]
En particular:
\[
\P(X_n=j) - \P(Y_n=j) \leq \P(n<T)
\]
Y de forma análoga:
\[
\P(Y_n=j) - \P(X_n=j) \leq \P(n< T)
\]
Por lo cual se logra:
\[
|\P(X_n=j) - \P(Y_n=j)| \leq \P(n<T)
\]
Pero además, se sabe que $$T<\infty$$ es casi seguramente, lo cual garantiza que $$\P(n<T)\to 0$$, que concluye que $$|\P(X_n=j) - \P(Y_n=j)|\to 0$$. Así, se tiene lo pedido.
La uniformidad exponencial es [[Ejercicio Pendiente]]
!!Hipótesis
Sea $$X$$ una [[Cadena de Markov]] a valores en un conjunto
de estados $$I$$ numerable y [[Matriz de transición]] $$P = (p_{ij}: i, j\in I)$$. Sea $$i\in I$$ un estado cualquiera y $$j$$ un [[Estado aperiódico]] y [[Estado recurrente]]
!!Conclusión
\[
\lim_{n\to\infty} p_{ij}^{(n)} = \frac{\P_i(\tau_j<\infty)}{\E_j(\tau_j)}
\]
!!Idea
Es una extensión del teorema de [[Convergencia al equilibrio]], que es el caso $$\P_i(\tau_j<\infty)=1$$, realmente solo basta que 1 estado sea recurrente aperiódico.
!!Demostración
''Indicación'': Definir $$f_{ij}(k) = \P_i(\tau_j=k)$$ y usarlo apropiadamente.
Primero se intentará escribir ambos lados de la igualdad en función de $$f$$:
\[
\begin{aligned}
\P_i(\tau_j<\infty) &= \P_i(\exists k \in \N:\, \tau_j = k)\\
&= \P_i\left(\bigcupdot_{k \in \N}\{ \tau_j = k\}\right)\\
&= \sum_{k\in \N} \P_i(\tau_j=k)\\
&= \sum_{k\in \N} f_{ij}(k)\\
\end{aligned}
\]
Por otro lado:
\[
p_{ij}^{(n)} = \P_i(X_n=j)
\]
Pero además, se tiene la igualdad de eventos:
\[
\begin{aligned}
\{X_n=j\} &= \{X_n=j, \tau_j\leq n\}\\
&= \{\exists k\leq n:\, X_n=j, \tau_j = k\}\\
&= \bigcupdot_{k\leq n} \{X_n=j, \tau_j = k\}
\end{aligned}
\]
Calculando su probabilidad:
\[
\begin{aligned}
p_{ij}^{(n)} &= \sum_{k\leq n} \P_i(X_n=j, \tau_j = k)\\
&= \sum_{k\leq n} \E_i(1_{X_n=j}1_{\tau_j = k})\\
&= \sum_{k\leq n} \E_i(\E(1_{X_n=j}1_{\tau_j = k})|F_{\tau_j})\\
\end{aligned}
\]
Como $$1_{\tau_j = k}$$ es $$F_{\tau_j}$$ medible:
\[
\begin{aligned}
p_{ij}^{(n)} &= \sum_{k\leq n} \E_i(\E(1_{X_n=j})|F_{\tau_j})1_{\tau_j = k}\\
\end{aligned}
\]
Por lo cual por [[Propiedad de Markov fuerte]] se tiene:
\[
\begin{aligned}
p_{ij}^{(n)} &= \sum_{k\leq n} \E_i(\E_{X_{\tau_j}}(1_{X_{n-\tau_j}=j})1_{\tau_j = k})\\
&= \sum_{k\leq n} \E_i(\E_{X_{\tau_j}}(1_{X_{n-k}=j})1_{\tau_j = k})\\
\end{aligned}
\]
Por definición de $$\tau_j$$, se tiene que $$X_{\tau_j}=j$$, es decir:
\[
\begin{aligned}
p_{ij}^{(n)} &= \sum_{k\leq n} \E_i(\E_{X_{\tau_j}}(1_{X_{n-\tau_j}=j})1_{\tau_j = k})\\
&= \sum_{k\leq n} \E_i(\E_j(1_{X_{n-k}=j})1_{\tau_j = k})\\
&= \sum_{k\leq n} \E_i(\P_j(X_{n-k}=j)1_{\tau_j = k})\\
&= \sum_{k\leq n} \P_j(X_{n-k}=j)\E_i(1_{\tau_j = k})\\
&= \sum_{k\leq n} \P_j(X_{n-k}=j)\P_i(\tau_j = k)\\
&= \sum_{k\leq n}p_{jj}^{(n-k)}f_{ij}(k)\\
\end{aligned}
\]
Con esto:
\[
\begin{aligned}
\left|p_{ij}^{(n)} - \frac{\P_i(\tau_j<\infty)}{\E_j(\tau_j)}\right| &= \left| \sum_{k\leq n}p_{jj}^{(n-k)}f_{ij}(k) - \frac{1}{\E_j(\tau_j)}\sum_{k\in \N} f_{ij}(k)\right|\\
&= \left| \sum_{k\leq n}p_{jj}^{(n-k)}f_{ij}(k) - \frac{1}{\E_j(\tau_j)}\sum_{k\leq n} f_{ij}(k) - \frac{1}{\E_j(\tau_j)}\sum_{k>n} f_{ij}(k)\right|\\
&= \left| \sum_{k\leq n}f_{ij}(k)\left(p_{jj}^{(n-k)} - \frac{1}{\E_j(\tau_j)}\right)- \frac{1}{\E_j(\tau_j)}\sum_{k>n} f_{ij}(k)\right|\\
&\leq \sum_{k\leq n}f_{ij}(k)\left|p_{jj}^{(n-k)} - \frac{1}{\E_j(\tau_j)}\right|+ \frac{1}{\E_j(\tau_j)}\sum_{k>n} f_{ij}(k)\\
\end{aligned}
\]
Notar tres cosas:
* $$\sum_{k\in \N} f_{ij}(k)\leq 1$$, pues representa una probabilidad, por lo cual converge
* $$\lim_{n\to\infty} \sum_{k>n} f_{ij}(k) = 0$$, pues es la cola de la serie
* Por [[Convergencia al equilibrio]] se tiene que $$\left|p_{jj}^{(n-k)} - \frac{1}{\E_j(\tau_j)}\right|\to0$$. Por el primer punto, se tiene que $$ \sum_{k\leq n}f_{ij}(k)\left|p_{jj}^{(n-k)} - \frac{1}{\E_j(\tau_j)}\right|\to 0$$
Esto ya concluye que:
\[
\left|p_{ij}^{(n)} - \frac{\P_i(\tau_j<\infty)}{\E_j(\tau_j)}\right|\to 0
\]
Que demuestra lo pedido.
!!__Hipótesis__
Sea $$\{e_n\}\subseteq H$$ elementos ortogonales de un [[Espacio de Hilbert]]
!!__Conclusión__
Las siguientes son equivalentes:
# $$\sum_{n\in\N} e_n$$ converge
# $$\sum_{n\in\N} |e_n|^2$$ converge
# $$\sum_{n\in\N} (e_n, y)$$ converge para cada $$y\in H$$
!!__Demostración__
[[Pendiente]]
!!__Hipótesis__
Sean $$(E_n)$$ variables iid exponenciales a parámetro $$\lambda$$
!!__Conclusión__
Hay dos posibilidades:
# \[
\sum_{n>0}\frac{1}{\lambdan} = \infty \implies \P\left(\sum_{n>0} E_n=\infty\right) = 1
\]
#\[
\sum_{n>0}\frac{1}{\lambdan} < \infty \implies \P\left(\sum_{n>0} E_n<\infty\right) = 1
\]
!!__Hipótesis__
Sea $$T:E\to E$$ [[Operador compacto]] y $$(\lambda_n)\subseteq \sigma(T)\setminus\{0\}$$ ([[Espectro de operador]]), con cada elemento distinto y convergente a $$\lambda$$
!!__Conclusión__
\[
\lambda = 0
\]
!!__Hipótesis__
Sea $$E$$ [[Espacio separable]] con medidas $$(\mu_n), \mu$$
!!__Conclusión__
$$\mu_n$$ es [[Convergente en ley]] a $$\mu$$ ssi converge en la [[Norma Lipschitz dual]].
Más aún, $$(M(E), D), (P(E), D)$$ son separables
!!__Nota__
Si más aún, $$E$$ es completo, $$(M(E), D), (D(E), D)$$ lo son
Corolario de [[Principio de la cota uniforme]]
!!Hipótesis
Sean $$E, F$$ espacios de Banach, $$(T_n)_{n\in\N}\subseteq\Lel\Cel(E, F)$$ tal que $$\forall x\in E: T_n x\to Tx$$.
!! Conclusión
\[
\text{a) }\sup_{n\in\N} \Vert T_n\Vert < \infty
\]
\[
\text{b) } T\in\Lel\Cel(E, F)
\]
\[
\text{c) } \Vert Tx\Vert \leq \lim\inf_{n\in\N} \Vert T_n\Vert \]
!!Demostración
Primero, para ver que $$T$$ es lineal, basta ver:
\[
T(x+\lambda y) \leftarrow T_n(x+\lambda y) = T_n(x) + \lambda T(y)\rightarrow T(x) + \lambda T(y)
\]
Donde unicidad del límite permite ver que $$T$$ es lineal. Luego, por continuidad de la norma, $$\forall x\in E: \Vert T_n x\Vert\to\Vert Tx\Vert < \infty$$, en particular, $$ T_nx$$ está acotada. Por teorema de la cota uniforme se tiene a), es decir:
\[
\sup_{n\in\N} \Vert T_n\Vert \leq c\in\R
\]
Así
\[
\begin{aligned}
\Vert T_n x\Vert &\leq \Vert T_n\Vert \Vert x\Vert\\
&\leq \sup_{n\in\N}\Vert T_n\Vert \Vert x\Vert\\
&\leqc\Vert x\Vert\\
\Vert T x\Vert &\leq c \Vert x\Vert\\
\implies T\in\Lel\Cel(E, F)
\end{aligned}
\]
Luego, sea $$x\in B(0, 1)$$:
\[
\begin{aligned}
\Vert T_n x\Vert &\leq \Vert T_n\Vert\\
\lim_{n\to\infty}\Vert T_n x\Vert &\leq \lim\inf_{n\to\infty} \Vert T_n\Vert\\
\Vert T x\Vert&\leq \lim\inf_{n\to\infty} \Vert T_n\Vert\\
\end{aligned}
\]
Dado $$(\Omega_n, \Fel_n, \P_n)_{n\in\N}, (\Omega, \Fel, \P)$$ espacios de probabilidad con [[Variable aleatoria]] $$X_n: \Omega_n\to E, X:\Omega\to E$$..
Decimos que $$(X_n)$$ convergen en ley a $$X$$ si la ley de $$X_n$$ es [[Medida débilmente convergente]] a la ley de $$X$$, en particular, para cada $$f$$ continua y acotada se tiene:
\[
\E_n(f(X_n)) \to \E(f(X))
\]
Considerar una desigualdad válida dada por:
\[
\lambda^\top Ax \leq \lambda^\top b;\, \lambda\geq 0
\]
(Por [[Caracterización de desigualdad válida]], todas cumplen esto), tal que además $$\lambda^\top A \in\Z^n$$
Un corte de Chvátal es el [[Plano cortante]] dado por:
\[
\lambda^\top A x \leq [\lambda^\top b]
\]
Qu
!!__Idea__
Un algoritmo que encuentre cortes encontrará planos cortantes, lo cual es útil para [[Planos cortantes para PLE]]
Uno de estos algoritmos es [[Gomory-Chvátal]]
Sean $$X\sim CM(\mu, P), Y\sim CM(\mu, Q)$$ a valores en $$I_1, I_2$$ respectivamente, ambas en el mismo espacio de probabilidad.
Entonces, el [[Proceso Estocástico]] $$(X, Y) := ((X_n, Y_n))_n$$ en $$I_1\times I_2$$ se llama el coupling cuando $$X$$ e $$Y$$ son independientes.
!!Hipótesis
Sea $$(X, Y)$$ [[Coupling]]
!!Conclusión
$$(X, Y)\simCM(\mu\otimes \nu, P\otimes Q)$$ usando la medida producto y $$P\otimes Q$$ indexada por $$I_1^2\times I_2^2$$:
\[
(P\otimes Q)_{(i, k), (j, l)} = p_{ij}q_{kl}
\]
Y más aún:
\[
(P\otimes Q)^{(n)} = P^{(n)}\otimes Q^{(n)}
\]
!!Demostración
[[Ejercicio Pendiente]]
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
Mide el grado de variación lineal de un par de variables x, y:
\[
Cov(X, Y) = \E[(X-E[X])(Y-E[Y])]
\]
En el caso discreto:
\[
Cov(x, y) = \frac{1}{m-1}\sum_{i=1}^n
(x-\bar x)(y- \bar y)
\]
''Hipótesis''
Sea $$X\sim CM(P)$$ [[Cadena irreducible]]
''Conclusión''
$$X$$ es [[Cadena recurrente]] ssi existe $$i\in I$$ tal que para toda [[Función armónica]] acotada en $$I\setminus\{i\}$$ entonces debe ser constante.
Es una versión del [[Criterio algebraico de recurrencia]]
''Hipótesis''
Sea $$X$$ [[Cadena irreducible]] con [[Matriz de transición]] $$P$$.
''Conclusión''
$$X$$ es [[Cadena recurrente]] ssi las únicas [[Funciones superármonicas]] y no-negativas en $$I$$ son las constantes.
''Demostración''
$$\implies)$$ Sea $$f$$ superarmónica. Si $$f\equiv 0$$, es constante y estamos listos, por lo cual se puede asumir que existe $$k\in I$$ tal que $$f(k)> 0$$. Luego:
\[
\sum_{j\in I}p_{ij}f(j) \leq f(i) \implies \sum_{j\in I}p_{ij}\frac{f(j)}{f(k)} \leq \frac{f(i)}{f(k)}
\]
Definiendo $$g=\frac{f}{f(k)}$$, donde se tiene que:
\[
g(i)\geq \sum_{j\in I}p_{ij}\frac{f(j)}{f(k)} = p_{ik} + \sum_{j\neq k}p_{ij}\frac{f(j)}{f(k)}
\]
Del [[Auxiliar 03 Markov: Markov débil y fuerte]], conocemos la solución minimal $$u_i = \P_i(\tau_k<\infty)$$, por lo cual:
\[
g(i)\geq \P_i(\tau_k<\infty)\implies f(i) \geq f(k)\P_i(\tau_k<\infty)
\]
Como $$X$$ es recurrente, se tiene que:
\[
f(i)\geq f(k)>0
\]
[[Golazo]]: También se tiene análogamente la otra desigualdad, y que $$f\equiv f(k)$$, por lo cual $$f$$ es constante.
$$\impliedby)$$ Por contrarrecíproca, sea $$X$$ transiente. Definiendo para $$k$$ arbitrario el siguiente [[Tiempo de retorno discreto]]
\[
\tau := \inf\, \{n\in N: X_n=k\}
\]
Definamos entonces $$f(i) = \P_i(\tau<\infty)$$. Por construcción, se tiene que $$f(i)=1, f(i)\in[0, 1]$$. Por transiencia, se tiene que existe un estado $$j$$ tal que $$f(k)<1$$. Con esto:
\[
Pf(k) = \sum_{r\in I} p_{kr}f(r) < \sum_{r\in I} p_{kr} = 1 = f(k)
\]
Por lo cual $$f$$ es superarmónica y no negativa, pero no es constante.
Dado un modelo $$f$$, su error cuadrático de ajusto con respecto a $$D$$ es:
\[
J(D, f) = \sum_{i=1}^N (y_i-f(x_i))^2
\]
El regresor óptimo bajo el criterio de mínimos cuadrados es aquel que minimice el error, es decir:
\[
f^* = \arg\min_{f\text{ es afin}} J(D, f)
\]
Se refiere a los percentiles $$25, 50, 75$$
Dada una [[Ecuación quasilineal]], su curva característica $$(x(t), y(t), z(t))$$ que solucionen la EDO:
\[
\begin{aligned}
\frac{dx}{dt} &= a(x(t), y(t), z(t))\\
\frac{dy}{dt} &= b(x(t), y(t), z(t))\\
\frac{dz}{dt} &= c(x(t), y(t), z(t))\\
\end{aligned}
\]
''Nota'' Dado condiciones iniciales $$(x_0, y_0, z_0)$$, tenemos por la suavidad de las funciones $$a, b, c$$ que se puede garantizar que existe una única solución local.
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
Se trata de descubrir automáticamente información útil en grandes repositorios de datos.
Como los repositorios son grandes, esto debe ser automatizado a través de distintos algoritmos.
Son una colección de hechos tales como números, palabras, ediciones o descripción de cosas.
Se utiliza generalmente para analizarlos.
[[Datos]] mal estructurados, desbalance de los datos, falta de datos, o con distintos tipos de error.
Son [[Datos]] que han sido formateados y modelados para un fácil acceso, usualmente organizados en tabla, donde un objeto se representa con una fila, donde cada columna representa distintos [[Atributos]].
Ej: Excel, .csv, tablas relacionales.
Los [[Datos]] no poseen ninguna estructura previamente definidas, pero es posible encontrar patrones de como están organizados.
Ej: Documentos de texto, imágenes, video, audio.
Son [[Datos]] que buscan ser más dinámicos y flexibles, con una organización jerarquica, donde no es necesario modificar la estructura entera para agregar nuevos [[Atributos]], en contraste a los [[Datos estructurados]].
Utilizan "tags" para representar atributos, es decir, del tipo grafo.
Ej: XML, json, e-mails, este apunte.
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7jkixiojtTdUY6zGOGWYMjrvcpe7tLve9a5t3333HcH4DO5+97u3e9zjHu1e97pX22+//TaBYXrAAQdsMkwZpGAB4r73ve9FjFOGacBQhRiqD3nIQ9rDH/7w0VB1ZbQ++MEPHq8xXGOsMl49x5jlF8M1xutTnvKUEU996lM37f7aEY4xa4e4R/W3E8zgrbvOdnMZvSCOvMRhEDOU1ZVhr03QY+eWoWlnkvFECOaYbBQqQpGiFMWG0BTmSogmnXvCNMdq+91OzxG0UIVulKU6AdQJMBAvIKiD6r8UxKsCHpJvP+FAJjeTT6WnTkZBjQvJI3UJkkfogSic2iNtD9VoZgCT5zHkY7S79oghHlTjPWmXS+M58ZTd71JDdktjbOOB0M2vInyxFHoeCYTVstMWKX85JG1F8kle9TlxQlNNk3tp0ibipO76DbRBeMpVf1eeCMIHrviDX/inIvETp/Jbj6TZWj/3KSPlAGVJWGhEL1517+rZffJLPpB7ccCY05/Saa/0tTbMNQgPpE0r/6QfeqTtIePbFYytGHKV5iiE7vkJF7/PB6RXBrpCu3LDO/24MdYstFnAsthlkSuw8GWRri7Y5dmC3Xe/+91x8S4LeMKkkU+QvNxngU+ZGccZJ6Gp+qXNalvXsQr84q/eScNP22gT7QVp6zzjlx7a3VU7V/5wDfrnyrM9xAX5pQz3PZRb6ayIn/qEz2pb8Av4p98rr/bxIOlrPrlPu6acpOn9a9gUIm/D20F41334H6bi1PQ1LmiXjJW0dW1vbZc+5V/7LRAmL+XgHXzt1BW+VU9h8pBen8ZIU8YuZWiphA6xYk+ZoggyaCjblFYKod2H7EA4WhfYhQhOOumkES95yUtG2J2Al73sZSOqv2fH8uxevOIVr9h0NM/9cnCML/leHKDT8UB0qxdlk4KZ44RRRONHQaWERiEFim6UWVfPOQ5JIQbKMUU5SjOFNco1UKwf85jHtEc/+tFjuz/ykY/cpJzDwx72sE1KOgX+gQ984IgHPOABo1JfQdFnBBx22GGjkgyMAwYDZdkOVwVDg9HBCGGQMEzsiDFS7JbZOaNo3+52txsNGIaMHbcYO4FdOkYQYyhgKDGYGM94iSFVjWxgeDHCGGWMsxhp1YCPoRtjtzf6pgzb3uCtRiTEoK1gtF7+8pf/DeM1/gmDGKm13OTp6jlGKsSYTp5JW8NDZ9LGsE+da93dM2xrW1WjNkgbBn14Fk2Eyee6gxHM2NVndmP5o02/MIAZm3a5olASjGRHJqTIEZM0IU+RyK6fY62f+cxnxh1Fu4yOx8qrHp3NUdrsRn70ox8ddx4dl7XTaJexHoUNPPO3+2g3sh6llS6ou5Y1zhSyqwlf+cpXNu1qMjSzm5mjuNnFtOMX5NmkAfVobhQloCQlvuO8Jhh5fuMb3xjzB2WjB+3aw86so8Xayk6unV1Hlx1ntgtMTpJxZHWOeZNjdpEhxjVkZxnci59d54RXkPlkp/wj1yPDX/3qV4/HqnOMOrvRdkQdo7bb7NSEHecco3YfHgg/AF4QJr4d6+xaS2fnOlB3O9wWCZWVdgC0vPa1rx3bBG3mF/NM5hF0h/aAf0XiZK7iJ5685Cl/5QTKTf3VG73qhZ8/8pGPjPz/yU9+cuRB/Rp+0u/4IYpylOIYscYc5a0qYcaYMUgRieJK+YAoMVFMAs8JiwGxFKKs5jlKUcqJQiWOa5Qq9JADUaBCW1W03OfZVRxx1Uv9GQPGjbFtXDt54GSCdiQr8Eb4IcAPeKEe1xcnPIev0g9ONcjTuNIP+sCYy9jLmE6fgHFrvOor41LfkQ3GpT5Fn+P/4W804AE6FV7BP8aOcWksZYwZn3SL6BAW0qI70Bfqolt0CKdIoJ4oEV9a+oeFuECeWWij1xjfxnvV34znnr/xdl6LMLa0Z33tIXJbnevpkfB5XncgT7UT+RloOzI0bZ1XGUAbV5lZx4QTH8vBmKmQRnp5yVs5oG8jc9GQOSTAc+g29+jbT3ziE+N8FB40f6l3Xvcgj121R5VfAR7sEblW0fM0v8RPu0dGRmaaLwM0BGhCq1dQ9E2gf9Qlp3vUrYe+M1+DPoT62goYO/pVW2mznPRxBX3cz5uZ0zLW8IBwfu7NbWwEvEqGylu/kieRSRxZRubsMoYWQquSxIo0qCjVFC0DmbKRFY4Ie3GDajlXVOsYEr+GE64VfZopSJu8thVozopAJq6lUFcotIFJL6s+FVaD+lWqKhzcExgGflW4CJYoWUEEAiGEITEupsV4mFufVGUQIhgc8zJQAgMHAxtkBl5gIAJhkYFq4BrMVdEx+KPUUJhMHhSbqtwQyFWxodAQ3DGwI9CrcDfZEPqEf313z4QDMWhNFiYQE4mJxsTC+F/OUGWgHn300aNRWo3RaqBmJ8ruFOO04tBDDx0NVcYFQ9UOl2OXFYxXO2IM1hirdffM1TFOxivDNUYrOBKae0Zs3ZVz3/tVgxay01d3+yqq0Vvj2iUMGMM59sqwUo4yEs7wYuCSAwww7WAiMQbwurFBgYqSFCVLOP4n0CkR+kvf6Attqi3tGjL202baS1t5ttuobS0S6BvpshuYBQh9XPtauP7Wr9JsDtmBXAoWNQL52qFUjrKVi9+yWDK1AxlkBzLKD6XH1TNM8TWeDj+rn7LRgS5tom20GX7CJxY/whNZ4LD7r//0HYM8RnkP4QHDu0dvlFscyWJJPY2Ah3JMGg9VXnWPRrTid3SDhZy689wDP2T89Is/FgDr2JF/yuz5HW+D49xZ/KknJHKaIicqppD47sWTT46GK6eOQXQYr2hDr77C6/ge/x9++OGjHAo/4yd8hA/IPfKQbLQQSIaSqVF0yWNjkCJF6YvRRpExb1BQs/NhvjEfGY+Zs+u8V+fCoM574lT/jHtznfmwzuF0CH7GvTjCyIXoFlOGlmuMOc/KoYCZb8wh5gbjwjjQXtoP75MVeELb4oMcrSdTww/hNWH4Bo/hJbJaHmSZRUnywvjSB+YRY88YNBaVbfzGYDFe9ZEw4zNj0zxintDHylCectGAL/EG3sM7xk3GkjFnDObkTBbWsgCXxcLlUBfl6imTIH7Gv/IylsmGLHhmLIfXw99oNn7wNH7WnuqW1xOMUX2hTZ0GIdPxt7kzMJeSW/qvyvC0N77XnlVWpr3N/fSBGIh59SDonytixIpDt5BX+q+C3EYDHiPf9Sc6zTnmCXXI/K9+6tkvUGf+cu3lFVTZ1SNxlgqHGkfeAZ4OXwdoQF8FvqSnBOpRT+pMQb2NDyCvgjqHRp/SVpkne2hLyPxpzGTuBryAJ9zrA/MbvsOf2hZf0EPZJVn0yaLRLmVocYiPkkRYUrINKgMSM7JECdQITRWMkIzg3BJEqGaFLNjafAjllYB6uMqz0hU6e/Tlu0+nB1N5xK8P6+uCntq2NY5r0tZ07hPfVXqTWia25OM+fZe0PVJ+0ue5909Y7uWbSRUPTaEayvHLBF6N2Gq0Wsld6ohFjFVgrGbnoO4QUDwYqVlFsWKSFRerKAxWxilFpa7U5JnRakWH4ZpVLbAKZDUoK1xWjGKwMlSnVuQpD1mtqgYruO8N2GrIWtmZWqkP6op6DN2lYGU1yAp/DOJcKXgMAkKZgWWSpVhQ9CwO6G99rS/1e+UhYfpTW5skTdp28ezUUQZM+q51xzG7eVEyhMUP7BJmF7EqIDVt4mRXcQrJr8ZfCtnprDubrslfHlXh6emBPAtDcxSogJ8dyn7Htq9fzTMQnrRRqChsFCmGUI7hxohmEECMjoBfDGvo45n0Yozry7o7bTKsSqP7ehybcmfnNfULqhKozql3RY1X4wfS8FPnihiVValEU44t99elkN33KUzF8aw8ZaMv9aj8qt/CW67pV3zlWRx1onzLT1tr9yi7FkLMy5Q6Y5PyR5Gl5FBSKKyUSeOOkmn3xJgnb8gli2vkVXYdLL65twBHhglnwGXhzbXKtcgz99JZxCMnLfgx9OShPPlYjCTj6zxBPmQ+qvOWeU08i5FopWyps77THhk/6feMH+0rXJuHB8Nz/CtfhW+0ecave3lDP8bESR+l/PSj/rvc5S43yoTkE6BLOcoP8CXa8JyxMzUu1ZfBXg11RhpjbQqMygp+WZiTLgtzSy0+KDMLD2ghLzKWswijLXMP6pE6hcfTF+kPV22kXar8dF9lJ6RdkxYiDyDtWF9NyH2ee6A58CyePCov1LJSD3RUHkBn6EVnRe1vcet96udZXHVLfWq5KbtH2jdtDEmbtl2KliB1WApLpUmd+35yX8OCzItLofZ9bZceGVep92Uve9n2W7/1W2MYvmQI09XIkMgMujaZ4boot+KGFgGYVWkKL8XQ4DXwrO5QRoWJE4EZQbm1iKAN4h9FrcZdCn0e24Jq+PQGkjJCS5+uR9Ivh+S9VNyUW/OMS3jS9nEh+aC3Tmye+XNJl7yC5JE69/0wlSZIuRUJS75J38ep4RUpdwpbGn8qHoSO6ipdfVgc/0qz+1qnPMcv91NlB/xCbw3r41X/ij7v6lfbAmrcPix9XXkGDzFEvTNGMbB6RsliWAkjB5THJV9pGVnyY4QxyByRMZkTnIStVeesimXFLLuLFEZhrjnyamXNqpsVxewgZjXR6l2OumZ1j1+U0Iq8exfw61f9euRord21rFzWlUPlZaUyq+l1ZyUKTt3poPwEieO+rsDLKyuXylAuWvIOodVI7aGNrKRbNbRSyBAmqy2M9bsiOfbmmuN+FfwTJ0jcHLMGu9COHFkxtlJspdlKsZVoq/9Wh7Oz54qerPxbtcyuI2Ql0312IeuqaeoG/apodhbrvRVRZdV3HOsqeVbKLSAwROo7i+6nIDwQL3FzxCs7ksrQ7uqtzlbq0YM29KtL+BpPZzcXr+pnvIMP8Eh2I4GSwYgzD1MaKV0ULkoLBcZxZmOrB3/KizTykC++wseVl8BYCK+jB79lXOFzz+6trGfniL86qJM+VF9GnjFKaddXFqsskNXFWbKhyiKI3BLH4plja4wBhgwF0/hBD/oYluSBcvFMytbf+tqVzMruRHgLT+VIfWRKdijUX72VkTr2xkrGbBADyDiVto5Lci28iz68jya8gV/wkvFDNk4d12Oo5vhpjuxlsS3wbBHuzRcu1PWLcVMLbvIG5RjbOWWS1yacPAhvGycZ0/pVu+Jr9TDG8La6ZdcnvB2Q3ZHbaeMqS6s81e7kaNreWMjJigAPxDhknGa3LUZqhXhB9YsRq+8ib5UVno7MRRc60WyuQD/gbfWpuz3qHrlVd3+yg4cH8CEecNVmrkBmBdnlqX6QNJGbFlTkC5k38VpOYVQZGnqWgj4LIpfSZ8aG+qp35szIitqXeL+fG/VnReaxKUTGyCc8oK/Itt/5nd8ZFyf44UVHF+kfkSF0ol3O0CLsCDoKFEPLyjtmtCpg4mJNEphVaFLIpOuVwfocxE2F9dicE0c52wN1QlgK4vV16DGVbilM5Re/6uJfIb1+6fMLpKlhy6Gmq+mXgnDplB9sLs8+fY8+/XLo09a8Vwp9GVN01PpPtcGWYKXory5+oTu0xc9zVYbsABr7VmEJQavYBJ3xL1y8SmcMNXnk2BFjjXJMYSI47Z5ll9Huo53JnKt3NMCupWf3dinFtTNW31Gyw2gl3a6iFXnIeXO7jXYf61lyi0TSVmTHcjnU47fZzcxOJtgRyOq/trHSb7fS+yF2J13tANYjt/GvEG5hyy6oXQS7AfUcvXLrew52DhyvsmNrN1eb2QFO3+hHfZOFM1f9xemvi4vwCcS4Voa5QXkBehxLwwt2N3Lc2k51YLca/dmlrsAHFPUe2eWWXn7ytRNuFxXPObKmfPSgKzypTdAevlcXfMuFh4O+zpC0qX9f7xxnr8fs0KsuFh3ssucIuGPe+hRf6Wc8ZM6lMBsjUYIZyhRghiFlg6JL8aJoUaooSBQiig+lheJYj6kx0qzoW0lmuFz60pcecZnLXGa8/vZv/3a71KUuNT4z0Fwr8l5q/45q/OQpHsXIvfzkQ3dQD/2KD7SRNtPugTZNW3vWhnjBgg7lTb7yYdAbG8YBOUAe4H1GmfbV/3QW/a/NK58JjzzRB2QOmWL8ONngGD5ZYIyTI3bkjOmcPgjqOzPAD536TToySZ+izXF/5SgXXfghelN4xlV7hBeXQ+XBpTCVblsR/jZu0K3/wtvha+2btq3vP9VTJNqCrKrvOtXTIWRpfeeJ7NPP2lX7kpnkI4OSEenVBEbk1CmOpZATIAxQeTBK5akP8+5TfcfMWCTb8QN68YZ+NWbxC77Rv+qLp/A3uCeLtUX8tY15TTtVRH5VVHm4HKSXJ8gfQkNA3qBjORgLOfmT8ZATP0H6DrSBebOe/unnyMyTFcZs5kt9XRH/vCOm7Y0/8s6uqsUkRqD+Rw+ew4PkeBx+XaRbcUOLwMvgMpgwIYufoWUlg8JUJywVnBrwUCesIG4qrMdUnj2m0i0CU2X3mErXYyrdUlgq/VL+UAVlj8Tp4/b+FbWMKdeH515aeUchSVlLlVnz6cMuLmreK4Wpcvo6VkzF3xJMlb0tqH0TyL/SWP2M7Yzv3tAyIUVhkkb/VlojP3KlUJh8KIdW1q3EkyvkC8QwEFeZFC1poohUxL+GuY+SW8E/dEReVcR/ayC/KVoC5VJGKFV5ryUKf8IqoryAyQOikFbIe6kyQRj61CvtmH4MzcL10xQvbAvi3Idv8ELaNzQIi3/aMLSGd5I24X0c4cmrxg+Sd5B0PXr/5Jk6Jf/lUF38Qk+lo9Luyi99kfrpu/BG+lr/h3+MD0p6BUWMIhWDgVJLAWF8M9ooLxRGyiOF0i4JY80Oip0JK+YMNKvZ2XWwMs9gsyouLO9ZZAeRUQcWSwL+djKksXJOGbLybafAOLegwgizKk7pYwCpn3ap7ebat782UBe02L1jQFKMyRFtknElP21Z+7W2exD/9EHlL9eK9FH6IuOzR4zpSkvtW5C/PpaPax+W+m8Jan2WwlS6HlPpeqS9KkJz7wfqpX7aIPyctqhI3FzFka6m1VZpd9fevw/P/VIQXsdX6Itfyk9/VhnMP/VwX/PzrB6V71In19STf+XHxK+obb9UnCks1RdBbd8phMYat2+nxKmo5U0h5Qe1TZaCMiPzGJPGu11xRwntnjL40v7KwMscuaHNFulW3NDi0nEqbVXB6phzubaNWfMqVQfuUpNU/CvipsJ69Pn1EGd7uanye/T0X1z0Lv5TZeY5g7TvoxpeUcOSV8Vybipu7lNWaFmqzKDmk/QrgT7flcJUWbBUPafy2J6otGwOaI8g98zQYiRZXYqhRSALl3fiuQ8PEJzikCMEqJU3R3tynpyhRWhG2MsjcodfBHbyTv6BZ3GFQ2jmF0Gf9AmvqP7Jf2swlU99Dh3uxe9pr341vwppMwnJS578+3wSt6ar99LVtOmjlUBoqLT0qDRUWsSv+dQ0NWyK3pSXdPV5KYiHlqCWVeNU1LBgio6aRt7pr1pOwvgLp3xQZCgO4LmmSZwoKfxTXi0DhIsXBcnYojQybhhmdoissDPMfFSJYda/n+rqmb9w494Kt10JcB94Fp7dIOmtZHuPy+6bXTW7XXawGXZoo0BVuZH2c00f51kd5O2dDO9qOM5lZ8MuVeqe+murtAvU9u5R46Xt5Ac1Xp6Xy1OctH3oqf0QeE5ZtUx5yDv13hz68qcwla7HVLqKtEcQ/6l8ajz1ShukHYK0Ua07JE1tl4SnjITVOAmvtCwHbZx2Dq2QfgN0Zj7q6U2Zuc+z/JJvygpNSyHxtjT+UkidUn5Q8670TqHPpyL5iVfbATZHe6WhR82nz8+9fmB7eLfdEU878WwPO26Jh74qM6RbpFuIoZXKsOxVlqHljGQMLRVLZ3C5rw1d41TETYVtLban6+s2hSkae1wclzyWKjN++q6GxT9hQfWv+Uy5Gr4U4vLcl9eXWcut6Sr6+FuDPq+lyrg4mCp3qq5TaWFzbirNtmBz7Z84/BI3zzG0yAAKj+NxJiThNZ37OBMVJcNkRYlkaNkVc5zI8SVKE2WwTnSZ2AjaTIS9gK9+Pf1BrcNS4YkzFb61SH7Js9LZ01rj1vSV3jxLp020Zc0vSBrxAs81fVDLSxkXFym/Ry23llfjJA9hfbqEC+Nca1iQPKD6by5sOfRlVCyXX+hbis7EqXwOeN04MZ7C90kvHv8of8LkVdu0lpl0obOWm/LCT1Eqq0GQckJjpXM5P+liLDLuHP+xO2acOw1jUQUd9Anluq91cE0/5xk9jmV5F84ir10yR8DIkZ6W1Dt5Bn0b9G2Ua8rMfcKSZ/WvYVDbNvfoSjvGP+lCAySPPv9FI+Uuh0pfMJUXJD6k/rBU+tpHm4uT56XibSlqeZXWIH7Q55+0fXqo8ZaiLf5T6ONuK6by3lrIJ/Xs881zbYutRZ9nnzdoU3LC4pDjo95V9jEg711a4NFX8opzL4/ef6XdwgwtlVZhO1r16GB2tBInjRjURuvDIG4qrMfmXOLVMnckKu1L4eK45LG1ZQbip+/Sf1N5bM718YPq4pcyetR0UF0fBlN5LIU+be/68JXAFB1TbR0k3eZcLePiYIqWqTj8+7gMLbtReSGVAKQICe/z9ixNVSDBmXIfS/AhDF8QciyAYiYNIWliziTnmsk6k2AtI6i0itOjxq0QljI9y2c59PlCn2eN71mc1AFq2r5OocU1aeOnHaGGKyN9VstLnvGr5SRNwlYK8ptC6OtdpbvG7Z+DpOnLq+Ecv9oGU3Hz3CPxIXn0qHF6TOVZaeNCQ+iQZ+3fGFIpK3H4BZ6T91IQ3tOX/ALP8lOusena5514ocd1ip6Exc9OlHc4HC20c+1Fd+9v2FkTrs7SVJqhtpGyyQbHI30kwhcXfQjBEUhHB7VVaA2drvFLflzNs4+HliD1qXXKfY+ETUFeMWSrsZW0oaPmk/DQthRSl+Uwle7ioKd1KXqn6OjTBckTKs3xS7yUE1fz3Vb0dKTsSndQ04Q/arzch7bNoeZd/bfF1fQXF0vVhX/aoLbVFGq8LYlb+6CPb+yQFxZ0vZvpJA1Dy45W7bfQCfwW6RZuaDnn7csvtu9s4ztWgOn6wVYrPeUXxE2F9Ug+OwOm6NsWbKtL+p4ufbBUP0yhpl0u/lTYlFsuPP5bUmbvpuJsC6bcVLyVQF/P9E3tnwppNuf6MrYVU3T0ceIvXgSh57qj5atMMbSES9cLTLIhygaFibLB0PJ1rXzG1UvJjgckLoUvk5mrtFFW4p8yUk6QNImXuDVOhbCk8bycU79abkXNU7y42pbLQbzEnaLZc+qVsKlyhFeFMWmn2iL+rhcXoaeid6Gxlh9U+jaHqfRTz7BUmdVvKSRuaAvSDz29ffq+7KUgn/RX8kxY2nJLyknfJ5+KpE14n49n8YTV8OSd9IG48uoNiQrHA70wb/fa1w7pDl5uJwfkKY18ajmu4RVQFt3DC/6+jOdjHr4Y53cXvbRPVlT6Ul+In/CK+FeE5tp2/Gu60BTUsClILz/1TPskf+HJwzP/hEvXl9WjlrMUptL1mEq3pUjbwVJt1sercSv4oyeu0pZ0U3km7bZgigao+ee5+rkPrfFPnIrE31pM5bUcpvLoMZVuSyG99qm8ORVvCuJuDkvFV6YxYWfcaTof9GF7+HKsd1HRUmnaXm6nMLRqQ8FUAwZxU2E9ks+OxhRt24ptddKiRZsHGQi1P/ryemyuXgmr5QR9utBVn6urYX3aHlNuKt7WYspNxVsppJ5B33YV4m/O9flvK6bKh6k46K0TEUOL4pQdLStNmzO0gMB0PNC9d0R8FtxXyXxFyGeGvdgfHqaUpFzpqoICoS30pSxIHn3cWreK5CGu5+Vc4k+hz6/6VcRNpQXPqQOkfhA/4bUMznUqTo+UORV2cdDXY0sQWrYWy+U1RUsN0y61/ZZD6lbTpX3Dl/FPnhXJp6djqbyTpo/bx+/Dgp4O96E36WoeoSv8k3L78KUgXvKHWp574937XV4zMM59Stt7W0nHSNKGygrkG+een3jex3JcML/v5GcKfOlN+tQpqPkthVoPWCpdzbdPMxU37Z848QvUOzQnD8+M1eq/OfRlT2EqXY+pdMthKg+Yilvr3sft28Vzn76mqemCmq7G2RLU/CodQW8c13Kq8xx6EmdzCK2Vhi1Nu7WoZW0tpK91C40JWw41nymXsKXSuc9YyfchvKPlJy38dIaxX9tsqXIW4RZmaKkEoVkNrRwdxJS1A2pDVdSwIG4qbMZG9I6f9tTmVTBgSoKhri6m77YW6bNaRvIPPIMw8XoemHI1/9wHW+L6NFuDpdxU3K1F3FRY2jKYirO90dMUTMXTr+lr9zG0CLz6jhY+kMa15hUekj5HDH2S1TEg72h5Sd5KNb8aV1pXvDZFWxDaQ2tF/Gvcmrb6J/5UeEXyXAq17Kn0QeJB72/saitHr7RtlLAg/VHHXtot4ekHYZWWSmMftj1QXfVHR0UNqy5xa/hyqHmmndJuNWwKtZ1q+1Y5mPySZ48+z0pXT2e97/PItabp0YdLU+vKr7oat0Lc3k3FgdAYpI2U62rlmaFlUSU7WhZtheHxtGHS17KVw0+4NL6a6Pd0HB909FjeoSNYir4+vI83FVbD5THlX4HO1GUqLn/1Np4TT3sZ57A5WbcIhLbNYSrtlqCmj+vDthRLpYv/1iB06ANI3wV1jEee9v3a59GHJ051fXiPbXErlQ+X9H0b13au91MQri2m0tYyEncqHqRN7Wj5tL+xT+/wu3MxtGr8YNFuxQ0tFU+DEXSsSsLSl3/saFmtSnhf2TRc0IcH3JT/FHYWN0XbojDVfp61u8FPcAOBUAW2a4RDUPOZcn2clJHJ05EPk6OJggKonIS7VlqXcsm7xq3xl0qbeNuKKTcVb1sRNxXWY8pNxVsU0vZLocZL/wJ+iKHlrDRDK18dFCZN+MB96pV88JB7u1d+kNNv7DC2/ACuF15Tjrjycy/vSlMPYRVTcbYENW2fV8ZF6OrD3fNPGL8pl/hQ4yZ+DTPOHL0id43ljDttUse8a/rIcx2XU7RC6E3Yck78uJpH0LupOBUpswd6KuK/pXlMxQum4qfNUp77xE26SkfipO0D+aStE7+WG/8aHiQeVDflPxWvd33+Fb1LfsJq3tUvLn6BcrRFz2Np08qTvmzoqE8+huF3iexOCas8Xdsn9EDKMPf4bTnHh/y0hN8P855G6AkNFfx7GnsIS3jK3BpXaU1+1a9CmPpmjvasrSxiG+cxwCotS2FzbirNFNIOS+HipOldn0d9DrQJfqjhfb553hb0eShPm+sHfQL6wbNrFgMqj/Y8Ff+aP1RX/Xskn6mwIHEqlopT/eKq3+ZQy5jKM1jKTaWHLUkbV+Pa0TL2d9ttt/FjOHVHq8arWKRbcUOrMhSrMjtafsuCssXQqnGmKjzj4qEyaZx7ba7tCQFCgfD2ewO+xERBo8xKR0DUPupdyuHEq3Hc85N/JgSKXMojiBJH/kmTPJNvXPUXL+j96/MUtiTOjJWBtta/6WNjPu9o5ehg+ED88JD7uJoPfvTjlq961as2/bCp3S3KV/gscZUn79CyvaDcOm5SJ36ZcGt8YRD/1Lkizn3ycu3juCrP+PISMFAyM97SJhAlgB+k/aRPnqFtKSRejT/1HNqWSxskHE01/lKYSlv9Li5qWdC3lSu5Jm7aTjz3advE0+6uySM8ITzxpZ0qdymIuzknzs6CtAfa46p/xoj28cEKipF3Ma1I+8Jo5d/MJ2m3vl3AvTFA//AhDLLHb4D5rHxt/6SpLnlsDyhfPeqza+gQpt7qot6eXc2rlMkYnuqSdNVVP/e7KrRLD22h3nghMi3x3cNUuh61nKXAiZs88Y9+CD/qD/KW8RsDGF3ok6by2xRqOVviKm1LQb5T7TAV95KC1Jku68ekGVoWWeqOVm2H7eUWYmilIgRBNbSyoxXmS2VnrDx6p70JoyhfBr73XvwavS1WX3bylSZ9Ikz8qXy4Wk5lWGkCeUQAEkTKJIwg+Uu7Ja4vr+eb/nnGjoX+MMYzzrfW0JrKh+D0y/yODV760pcef0DVjhYew0+Jqzx+yWPRUC4o06QbQwYtwkNP5fk+rfvUu4bHL/5JX9OBvI1riyWMLBO9MZfxHqMLbWhBmzTCPcs3ZQmreW8OPS3xc51yNV5F8qmYirc9ETq0T4U20pbatNLqKkybpm3xefrAvX4JP6Sta96el2unis25qTQ7CrWdQlvqrh3SFtrGwt+znvWscUdr9913H9+z4p/21LYZ8xUpi5OvNrd77hPPdtO9ukAWJa+MyaSpLnktGqE9LvXIvXZR3/ATXiILjXGLT8a7sOSTtHH1OWXuikj9KvSdcRjeCcTfXH37+JtDn58y8WJAr9EXNhc8oy18Jm54rZY7hZR1cV2ldaqMSyrUTzsvZWhVXhF/e7kVN7TCTK4mfr+BMe9obX/0Tptn5YVgNgl99KMfHT+je7e73a09/elPH39nIH23FCPyE9bHc40w4QgYgocx54txWZGLYFyq/7nc9+VUV8MTf8bOAX2ij9PPW2topV+lTR546a//+q/HF+TtaPlRU3wVhSn5iJvn7YFKJ1qiBPITxj9KUq1nBdf7TSH5yb/mJX+yluFpl88Cl6uFE8ewfH2NYkYJiLEFURLcyyv5T9HYI/G3JG51nrc0be+m4sBSbirucpiih1/aXNtl5TqGa/jNVXzOc/pb38TQEp8MFB6eSJkpQz5cpWEpbM5NpdmRSF059xk3AT9tgnd9uMJPOdz0pjdtJ5988qa2EZ578SvilCE/bf7+979//JF072k8+tGPHn9QWR7h+9pv1YXm7YFKu3t+uVfX8E/mbwYWP+OdUWpsi1fTcrWM/nlXg7r10McZh+DeuBLGhb+m8ttacPVZvpGfoF9AX6DDvT5DT3gs174eFcI350LDcqhuKvySDO3I0HJ00BdHGVr020uUoZUKYKopQ2u5j2HMWBlMMZJnwphQILAprlb77nWve7Ub3OAG7QEPeMD4RcgIpzBk8qwuZaQPg9qv8v/CF77Q3vCGN4yf86bwRcno0wUpK4h/4leXcNc8z9g5oF/CQ/puWwwt6QC/CCc4yRKGlne0jjvuuFHJSDnJpz5vLygvCqBrlOhMsvzD91PpYYqX4xekTZRXx5FyTPAmdkaW41Hvfe9722tf+9px/BmHWQU3LikB2l86CkqUuOXo61Hp5WpYnsUJavgUlnNT8SF5924q7pagz4+fNkm/UqC0k/ZP26Vv0x8gTtrXfRRB7ewqL9fa5q7ydU3ZlzTEudfOabfUm7+2wavGt7FuRfolL3nJ6C+8xk0+U/3mWX8xtO585zuPO1qPfOQj29e+9rWxTPnVvHqX/JdDLXspTKWbQlxN54rO8JqFEkaoxUtXx/6NZ+GpS9JyyaM+76pIu/RQZ21kLGXcZSwmzlR+WwtOnslXGXVs65sYW6BfyFtxQo9+4qbyX0laYSmX8JUsa2cEGeLIMUPLDxY/4xnPuGQZWqkoxmJoOTroR8MYWn60lDLfC4UZi0NcnrU7wWQS+sxnPjMaWL7ItN9++7VPfvKTo3/6ZjlmTH6QeElDoDhn76jX3e9+9/awhz1sfKGZ8FE2KKPmMeVqeB+n90/ZoaWGxVX/GYuDPjDGM8631dDib5ICgtPCAOXLe1pWvO3UJG7yCULL9gB+Vp9cM+lnLKEnNMb1eahHdfFLu4A8Ut+0S/I35sBX1Xw05LDDDhvb2m71scceO45tO1zZ8YohgEaKAXpD45ZgKXpd81zjBgnnElb94pJ2eyK0QGhIW2urKE3am3IVg1W69AceEC9yLvxAEaMYa3vPjC4Qp5Zfabi4qK76p5yVLGtzqM5z2lX96/hwb8eGoeUdLYqSD99os6Tr6a51Sf6At9/3vveNO1oMrYc//OHtK1/5ylhGypxKt6VIucthKt0U4mo6V+2D1yjt9KncUxotqFhswoe1HWv63HMpa1dE6lKhruqd58gzcF/bo8dUGcuBkxd4ljee1B/KM65jWOkP81XoQGNoXcr15a0UesdvW9tgVwIZctppp43y4/rXv/54FDm/o1Xrv73cQgwtlVAhzMfQ8uWgGFq27nuBMGNlEee+b+P0jUmO0eszuje84Q3HPtJXFLGeGWHKJa8IO05cz3awTjjhhPFrk37LwK/yU/R6BSV55D7lQe8nXhD/xKlIfKiu+s9YHPSBMZ5xvlI7Wh/+8IfH9zYuf/nLj4LzP//zP8e4gXiJX+lZJNCoLhkDyg74px7CxI9zX2kXZ6lw9yDP+EVJdU0ZlC47WBY3rne967VrXeta44++mmy0/yc+8YlR2Tf+jMMoCuhMPrWMzSH0uiatax/mOTQmrPr3fvFPfhUJD6TZXPi2Qnp5amcKk7Zyj67wWa7aMFdxk44xZQfiS1/60si/X//618cFJ4aXsMTt26rWYSn09PboXfy3Jo+VQnXKTdul/dRZPGHmoOOPP75d9apXHRcBLRzgWeHiJS6XNLUuuafoWuCz2ED2PPCBD2yf+9znxn5JG9d8IPnX/BYNZcVVmtxrH3yCZ7KLhZfM24961KPaX/3VX438FVmgLaWrSH61zF0NfZ1APxlvieM+sky4tjC+0i7BtvQvlzScPOStPHLUeAZ9gce8++7HsfFgyqt90+cdV/2XQ/JZCsqs9YyraWt+lzQwtLxqQLclQ57znOe073znO5vapG+XRbuFHB0EFWJo+XXm2972tqPC7Yy0rfttZfYZW470QYV2J3QiHFj4JjRfZWJo2Wp17jsrrRFQfR7CIIqalZwIkYRTgh35MME5mmiFkvElb3xBAIlHWMkHTe4jGCvCU+JXYVrr5D7xajtUV/1nLA7hA9Av2/qOVvKRh9VchgLly9HBpzzlKSM/CQtSZvLaHsCTUcDxtsUEylB41RUqH0OlG8LDyTd+qU/SuPIzTpJvyrJaT/ky3sjc+9///uPn9BlbPnHtB5+1mfEaAwvklXYOHZtDbWdX6eSTOgvvUWlN+alDRfIhFwLPkHoHyTNplRMa025p061B8kj+IG80MPopvdUPf7oyCADN+IHxi28tDDzoQQ8aF5xOP/30TbsTqY+ylJv+TflLIXVbDr1L3Wqc+C0afVnqoJ6pa8I5RoVFuqtd7WqjkuQLo5RY4Ukjfhz/1Afkp9/MMXZy73vf+46y5+CDDx5/k0vf1HZMuX0+nheNlBWXcnOvrvhI/fGX6+c///nxAx8+W8149Mn6yqPJs6/jrozUaQqcOOqujbSXvnevTVwzziIjpOvLWA5c0nDatcop/UIufOpTnxrnuvvd737jiR4ne1K+a+TUcn2Tei0F9Ke/l8NSdU0+1e+SgtSNfLYIwdACJ2DMfQlP/beXW6ihhfm8n0Mo2NFyRvqrX/3q2PmXFAGws0G79gMtg5pfBIN7SqHVQr++jxn9CCwlsQqGCukIMIIs2+TuGU7ie+bPjzIhvz322GM8I+tlRBNC0rqKT9mQp6vnlJ06AD5RD3EoMeKLo36p01I8VV31n7E4pL/SJxfH0EqfRsGwYOOrg74g5vhMJq6UB5WWRUPZ+JLirJ5+N/BDH/rQpg9QZByFXyudFcJdU2dx+VV/cI/n+buKZ9wYgx/72MdGZZKsPfTQQ8evtfloiIWUa17zmu3II48cV1spBNJIizb0ZwylfPfLQdmuiSu9cRkFJwidGafGvbay4qh9ajyITDDOhasX6H/PMWTkU8ur7RG60mZT/TYFzjVtIC8I/cqwSu1dQZO4RUNtid5cQ1vqa4XbSYH999+/3fjGNx5/H4ocrMeoxXMNrVvS/rV+S6F3qacw6SF+i0Zoqs99Xfhz+vrEE08c+diigS+M4hlxtJM+cR9X8wf54SP98OUvf3k0cMkeO71kjz5KuWmD5LO9EXrrs2voQWf4XN2NBb9L6L0zRytd7XCpL/7UNqlXkDx3ZaRve2gf4ydjld5hYcOHvuxgGJPaJu2jDaWRVr5p5y1B2pJzH3mlb/SLMe14++1vf/tNX7rTV6FB/CB83PM/pG5LQX3DE0uh54daD3n0fpcUpG4/+9nPNhlaTnT85V/+Zfve9753kXYUf3u5hRwdVFEMZGJ0RppydY1rXGPc0WJoLcdkM7YNYR5tGmGSto1/BqiB7xkzWnXxWyUmIsxoJcBEZ6BWISWtqzATlXtXAiars+KY3AgcKzk+G+98vL531IHQEV86vEHZAn4UFVd8gX75u8oTreiWxjXKjPvUN/WsbVHbJ7w5Y/HQ9ngv8AGcrTG0XJOWv3B976grXvqd3/md8cM6MbSEixteCB3bA8rHqwwrgt1KJtr8XAKezrjJWMrEp16BZ/5pg4xRPJ6x2sd1VVf3rsac8bbPPvuM7fzQhz50NKooYQ9+8IPbH/zBH4wfJTr11FPHBRZpkkfKSvkpK+UFJm5xA/VBq7SRCfJLPM/qL0w8tLqSF+SM8S5tIJ34+hrUyQ67+EBeuaZNxU/eFcLRW9sr9aq8lnDX8F2Q+srLVXngKNoRRxwxHkez62JhKnSQjepR24d8c2SQsn+Xu9xlfCmbQZ6TA8k3NKbs0CpvYZ5DbxC+55+09T5I3ZJHIG3iVP/4rTRqGVDrknLVVVv60qBFFYt02hk/CNNWeEz86mr+8tNueIGMYNza/aEAG6N4ry+3d6F5c9icm0rTIzSEfvec+9RZm2gDPMPYP+SQQ8bdfYsoH//4x8e64gfQPpWvaj0rUt5UWEUfZ3NptiQ8183FDWpc9Um9wBhVf+1D7lqE8z6eRS99rc0iF/CFNkqeS5VTn6t/2hIiF1yVTTb5CJFXJfRN3gmMvFIuuj2D5+TJP3VK2e7FyVW/ihPZ4hqeiNxxlXfuAX2V7iDlbAm2Nd2OgLqSr+Y672f5oI4FRzqpsLRF4m8PtzBDC3SyicmqC0EXQwsjYBrME2ZLpWdsHr3jVwcCaP8MTjDYAu1vwFIEKWd2HClnJiQrsAZvBmqESAysvONhoFOUYjjJM34UJMocQeerhj7TazeTghGBpGxwn7whAlNeocOVwoIez9KI5znCKbzkOQIpfOheWN+OM1YWlRdz1e4xtLyQviWGFpd+4+eKRyhNMbTkZ2dAWnHD8/hVmu0F/AiOiL361a8eZZ3dpA984AOjYYCPM+7wZeXJOja1hyu+Ni6iGAgPX9dr2ih1l+Y1r3nNeGTQLoCFDQoZReP5z3/++M6WSeeZz3xm++Y3v7kpn4wz4NJnyds9P0CfMWqMm8jUD51gzCcffcVPfHlonzwbs8ay9CBd5Ig4wvnJwxX9kRExtJIPmuQdeaS9Qo92E6781DXP7msdIXV0r19d5Sn/5KvcyEu7LXYIHZFWljjoED/PIA8rqU52mPjtOvpZAv0lvjjog/S1skMzP+WK51rrlTDX0J0w/vLo6+yZSx1reG0n4XGe41dRXR/WI8598kv5NX9069tXvvKV41j3WXZKUvo07dvnydV8QV4WQCwgmt8owH703FitZde84vhtL3Chu9LjXl0zRsP7jkD5iBUedGLE7o3w8IE+DO+GD9K3ruK5Jq7n9DtUh5ZKF9T7KdR8ql9cwuUbeK5paxjaXIUnfeh1VUdjiawwt5DBFo/JPWMP76QtMt5qWfLgl2cI3cJyTVxAj/y0s2f541t9YY5z7PWoo45qn/3sZ8cyhaXsjOXUKfmmH2rZ8XNNPUC58lRv/mQqHnAvzLXKVXkoR5muXMoJquvDpKnow3cmqCM91SYC+eEkwYte9KJxt1M7QNqhplukW5ihpRI6/O/+7u/GVdYYWiz8DPS+wtXVBpix5dCW2lTbRhBkcBrg2p4/GIQ+f2ulVf884hGPGIW4MPEpOhiW0UShAEqCwU3xce+a+AY65cmEIB2l5IADDhiPOFhV/+IXvzgqSwQiRYOgSBrlOk9PISGsHMv5/ve/PwoJeYmjHGncpx7qp961vtKgR5y0hfu+rWasLKbGrfa/OIZW7vEcw4HCxNBiuPvqVpUhrvqZqzQsEvgMT+Jpk6ovpDF47L6Z/PAkmtDHuWayxafqBcaBq3FhXEqjbuLh6UzO/KVXtvqGDuNK2d7F8l6Lo7qUTGV499K7WsZ4drqUJV/j13j1LB95Byk7ZWb8iU8WkAuexeOnvuggNzL+hFVZgiYTnnvyw1hWX+HycI3SgDZh2oS/Kz+0iiv/KBcZ+55Budoa0pbu1dG9+sQv/AP80rahPVf5OBqUY1tkG6OVv/KlRYO04F46SPtENqkHJN+UIR+08XOVj3t5gfDEBff8Ur74rvGXNvS5qiNX2yHhiSOPtBWXtvFcUV0f1iPOffJLOTV/5auXMeS4K5nh/V5+aNUGrskz+QfyUa/kj2+8K2yhwW9yOZKId2vZyau6Pt9Fggu9lR732kOd8bSxoB2szB999NFj+zC0fHgBL6Vt1D/pxA/fxA8P4o/0PT/XvnzOPb8gNC+HPq57edfn6t+j8mXgOX7CEy9x1UFf199Nc7LAx2dSf8h9LSv5ew7tkPzRmnJdpQ8t2lE69+CnNCwuWyTw5VfHGPWB/iMr0w/JB+QbegLlJ46ylEPugf6Dek+e4g9lRLaQOaD81CN1m3Lpn97Ff1eAumkvGwZkCH2BoeX48SXS0HLF1NXQ8qI2Q0tD9JXtXSo/Y+ugTdO+4N5gNVD1R2AQG6CENEOL0PbjxXadKDQUIquvVgUA0/qimaNIGdRWi8SVNyXCoPbsHqM7MkPYYHZHZ+RHORNP2VFQGWBeVtx3333HFXk7AoxySo18KG9RUggQz+5Tl/CSOnmOsBEnvNgPqhkrj7jcu2r/vKN1cQytKBh2ZRhaFI3+N/kAD3Dy2h5QD/wcHs0iAt4z8bsaf6Ex4xKd+NQ4wqt1EpWnNMLlIZwfaBNIXqm3VXqrdpRJhpbxhBblGLN+YsEYv+c97zn+kCNlU76gnIwj7azsjCM0ueZefPVlIMnffYyhKIJRLMgQ79WRA4w9MoQs8Y4TQ5Qs0G7Sqac0ypBn2sJVu5I5ac+EoQkdoU04muSnDuEHcWtbxV8cbalvwjPuXcURnjjpE/LST2HYpffOj3rwT/uJl/6NcixMvsCfnzpC+l4cYZA+rmULdy9v8aVVL/H5iZuyQ7/4wkOf8FrX0Ck88Jw2AC5tFr8aFteH9Yhzn/yUk/vkn7rgE/MGmYGX04Zph+SZ/FxBnLQTf7whL8qWnd4t/fpY8tteQEdo8sy5T/9XvjeujGfts/vuu4/jSz21m7EnTsZh+j184j5h7oP0O6T8uNAXWgN+U6j1yHPyjV+9F4a2xAtfoj397Vm91BO9/NRXepBGnRg6dA58Q4+gc8gjdU96+ckDkkctv0LcjA1p3SdM+tRDGF3mPve5z7jbeNBBB43l86+0A5r4QfJTdurqmnjCXcmTyJT0MTlA5mWOwCPiRBaSy8qtdLr2Lv0R9K4P31mRNjRGfCPAl3eN/SywpN/ES1sEi3QL3dHCCF4MtwJokmdoTX0MY8rVBphxUWi3oPevjORqkBqABm8ERgYvhiQYDjzwwNEQ9iI9RcKRLMrQve9973FysjpjBZfwclzGThXFLivSBrZ7A9tApxhZPbDC74iDCSHHqUxywhhQBABB4cuUeOTKV77y+PluSow0zqG/6U1vGne75Ct/CpfylCG9Orlm4kgd+UnjXrtoj9pWM1Yecbl31e4MLauL22poCROfYk5o+hjG4YcfPu56Ro4E8pLP9oIJL4aAseA+iw8mO/ztPhNn7tGJZ02a+DkTL/9MlibPhIuLt1NP9cbb4oOJxcq941HayHst0oqLNhMNI1WYo1SMVPnLF4wXNIDyYwREGXDPT/0yzgPGUsYl6CcKj4lOP/kdRROece29G184dYSRfIiSIG/lqFPqjibt5T7xPKNXuTFYUq5wcC8vcSMPpAkvaf/US7j2468/XRMvacV39Wyh0Ht4l7nMZcYFKoakfLRb8nLNffgz/JL+4gfh8/inX1MnbaCeUZjECS8pM9f0X8pLnp6TBjyHloSlnq7ihF7ONbQmXVBdH9Yjzn3yC601f37ocMzSBwXIjGc/+9ljPYWrIxqTb/Kr98LVR930zdve9rbxXSb5PfnJT27f+MY3LlK2dL1LftsLoSX0xA+d6pN+xsfGmp/KMUcaz94LwvfC8AqEt9PnaVfPkD5PvwfiKXtzrtIceqtfj9rekDJchYVXExdd6uOaNNoAxPUc3q3t43j5E5/4xFHW3eEOd2hvfvObx3EkvnByQ1z5pi3kk/KSf+gRri0TL+XJL/VNXeRPHjCwHB2kP/WGlr7RV5FtyU/5nkMbf/REtoA0ntPHQO7Tj8jgWg55mflIneUXWkNvfQ74BYnXuz5unnc00JI+Mgf50Jv55iY3uck4N/7gBz+4SN/2tC/SrbihxWXg6GBbuY6tUNbz1cFayaVcbYAZF4W26xmlMlkGsGsdrBmklBNXA9LvmjlLTBHysjwjymffHdewOu6rLZQ3LyUztqzU3PWudx0FmBUCCoB+lr/BzoDC0BQ5K+e20eXtzDTDSVl2N7yUbEeM0KFwPfWpTx0/R004+QoipcwLpbe85S3Hd1/kS3gw8NSLAHFV5wggNPBL/SMcg9qGM1Yecbl3xacX9+igMJMPHnBUhqGFTywSZBz0V3ltD6AL/xlPlf8ZWXhbHdCEH8OfmVSlM3bEk9ZRWVeThHFVedpVXsrkXPnJS/uZVBk2xqodLcaUPJQtf78psvfee48LXhQRfSK9MiIPPIuvHHShr9IayE86MNFHljja6cV8xzQcq/O1J2PY+Fcu2ZHFFLSY/KSJUSEf5absami4V55xz3BXjiOQOb4sjvpC8lGfyAF1cOWXfIWFt4RrU/V35Z92F+4qPXrtJvzWb/3WKC997IlcEqYf0lbih69d5Zu2DR3iCqvp0KYO5Bxe0DfqIjxloFtb8HfPT36e+de8K7/U8lMuP9f4pf5xaYupMVVdH9Yjzn3yU1buK9Dyxje+cTzuR2YwyvWBtGmH5Js0KSN+4oM2zY8WM7QYKI6T1bKTtrrkvz0RWuozoBXUW/3x25Oe9KRxcZRBwZBkfBkHED4I6AB4Qnuk39PngXzF6dslqK76by4s4a6pR5Ay3KPBleMfvuYfvgzfZ/zGMFIvVyB7vZtFd6Fz+GkAsjF5SiNPaVJ3+QtTf9fEE0e60CquMPFDe/zd8zcn2VGj4JujLFzrjyrbIs/QK+/Uswd6Mp5BWvXmZ56hp+FlxxN9Vt4itnlHHHIjc5C6VJoDfmlzLvWp8XJfXY1X4+5o1LbEB/qewcvQcqzevCo89e5pX6RbqKGFmepXB7fU0KqVn3FRcNoubRjnPsIiAtbAjFKE+YQbhBChS2lxDIvQJpisjlGeCAi/VfTc5z53XF30OzD6MSvTjvhRmAl4CoE87VR5v+q1r33taDg5YmNy8wOzFC4rcJQsEyhlz+qwSUM6RhfDzeqMfO2umUTEtxVPsVIOoYl29dIG6hShKdyXDfN+F5rEgam2nLGy4FzxYoDHKPVZgd1aQ4ufe32M1xgSDC3Htj7zmc+MYdKmj+v99oCxlUmNvDP+XKvxoh7hUVD3TJ7i2EH2bqIjUo7/MYrwMF6PUpH0qS8nvbz4K9+4y8q9r9tJb3wow7h0NJjCSRGx8ks+ZDKWv7xc9Yc0wqoscUVLDJrs3vE3bu0++10fizOXu9zlRjnhXQlHgr3/eeyxx47viDHAGFzi6kPly1f/KjMKiPr1yhTjyoc+fC7dIo4FIcoGGZId9tAtjTzkj1YyRlujVVx1TPtN8VHK1Iau8nR8lVz83d/93VFeko3KlIeytJ08AnlA8pdX6hTZlbjaGI12A309jSyjMKA9faC98ZY6eU5e4F47QvzRE151n7jKBnQHdRymDSriH1TXh/WIc5/80ib9M7q0q9MUZAZe1k7CXNGafJO2L0Mc+WgLv52FV4wL/GfeqWXXtHHJf2dA6AT1MmcyPs3Fxpe2ylFgfBJeqLyBN/GNMYb3w1Pp+/ACHghvpK17nk6chNe2TFz3uaYe4koD4cH45Tn5JJ7+w+fu1YFuQmdhVIT+Wr66+eCJRRC7fY6KGlPCxE0ZyqvlJv/QQ+6CMOW4as+0r+e0Q8I94y1yTd9YbHKsU7+QNfLTd2Acxw/UMeNW+bU8dAnLnCKuBR8GNrlq8dFmBl3Ne+7kkfjSJj9tVPnJs7q67/3VI/61Pz1nbHgOkn5HAy2h33hwioPeyei2u4V3hPV1ChbpFmpo6WzHxTABCx9T+F2LpSo6Y/PgKoPHaU8D0sCqA7MOakKWgDKBM0QoJAxfnyFl1FAcTEpZpbaqatBaPaGcUNbsTDCar3CFK4xb5PqToDCYrap4F0teVrD9UOpv//Zvj0qXNAwsn9q0s2VHjNJCGKBTWWhFP+WCoWdlyECxqumHla3goFkcwougkF7Z/CgolEhGHKVPHbUFodW344zFIMIuV33kPZaVMLTwoh1OhpajpiaVWlZokF/uFw18B3gskyMYfxmH6upefUB4/HzQw4/YZmFBGzmS5jdYGCHVcJC/dKBsV/6uFCe7AL6IZ/fZQofxnjFiLGh3u8PGcXbNYthEXoP45ASlgcFHsaGsJC7ZIL0yjUN5203TJz4jz8CiJDtiZ4JznEZ6BpFjYHas1ZPhR2bIQ7m1rtqGXDFhkhNkEJpe+MIXjnJEGVe60pXGj38w4MgL9dW28pNWnuooHblGNji+Lr73P/mri3iRE/hMW2g3fsDPNfU2gVNwGZTo0Q7SKlM8beSqHjXv9L9wPAvuE58RqH/8wC4+9wEhX9+zSh655ypPNEqjftpG25GjwtFDlqYt5a8OruHPQB6QOOirYyr30PN+dX1Yjzj3ya/mnWfhaPE+sJ1Zst9YQJtwYWhMPqGxlsHFX/0t0tld0GeOspsnhKXcPi3Hb0ehpyt+rujWtxYYzKnGEZ6x0BDDO/2qrfgZQ8ay0yr4Sdsad5EP4Xt5u2oz6TKG5CcvkG8Nd+UX/qr8FP+UIS9jM5C25qWcOvbC4xnPFocYUeSGhV+yKfyd/rbY6n1QC0raxrveFvrklby1I1pqHaQjo8gEug6Zpp3RrQzxjTUQH63ClI2+1JWMs6HA0PITEBaujUtxav1jMHp/lj5G/yFfhEUmpX2UkfIjc21g4Gk7Npe97GXH8uhW9C/yQhzpIH0QHnLVVtojvOZevPSd+Pwit8RP+ppH9dvRqHWhQ1q0tKDH0DI/XaIMLQSnEpgx72gRChT6LTG0lvKfsZEZtA9Up00NEoPUBOveIDFYMZ3tZe9tUH4c/bOLRWgxeKzymdRMRPkAhZUhgpgAN4nrS/lS/igC//f//t9xhVCezrwTJo6JWsWJUYXBTZR2pbyXQdGhHIsfRY2giyAzwNEc5YGRbleMkY5uE2biS4umCDG0nXbaaaNwU+4xxxwzKi61rabac8bKQTsb1xnfrvrT5GPC2xZDi79wk4DJ0Eql92Ocv8cPkSOuoUP83G8P1AnKeDNpMi6Nu+qPX/G5MeoenzteSz6aML3YbrHD7rKJkzLhq3Z4vOZjDKgjP/eZuP1AsXFm/DEoKA6ZuI0Z5UUhTz78tbNn7evZainZYKHD+1V+f8hxOe9tKkefKtu9McaY0h+OFltUsWNl/Ol3bQHyJB/sTqufnTfygKEZpSJ0oZFxRdnRhspQlv62SKMMYMwxuhk8UbxiYKiz+vBzRFF5OcqITvTyp+SkHaRBg2d0eNZ+oY+/vO04MhYdhfSTGPzCo+HXyLLwpmdlxC/xPQvXN3Y1tQ/lAORvzDhuzThWDhrwjvzQ5Vmd9bXdPvEo1Vm4IidTD3WQJnwobRB/NEXJCtALPd9X14f1iHOf/DJ267NwvOUDFjG08FLoUm80JR9pki75Jxy0ublPuxpT5hFH1WvZSVtd0u8I9HS5VnrxNQM/hpaFGvMlXtKHeDhjyJixsGDxRntaADWeLRbgGflp08gIPIJXotTjuYyBwLMyMs6kUW7lK/4Q3hJHnnQKQJ9nceQT3kYLiI8P0JRxgq8tPtAH6Bl0ydAsXDspy6KLcONHfxsX8uzHm/qhwwKuHxX3+1s+FkSHoKsy2Ogp8lRfY4pe5J6fPNHo2dUzeVZ/t418V0bqB+QZg9dCtfnMDhiZQkaKqy/RJl91Q7e2RbO+R69ddXOGxWx55LQRY8t7iPoWjdon4zpjOTyWsWNciZN+c1UfadRJm9W0NX3121mALvOGMULWm1cZWvpPPWCK9kW6hRlaOkdHW0n01UGDw0oECz6VrBXtXfxn/CbSPmlDLm1ugBicEV4UPkLVoHZWlXAmgAhcioqVU4aJiZ2hRbhkBdlAz8AzYIGQZNDIw5FARhtjmj/mtlXu/StKg10lfY7ZKZOMOvnKMwpRYEAb7ASMe7xDuSJQ0J33TqQTRuCoqzpLJ41VOsdMKJloMLC0k7aJ016e+3aszzO2HdqSICO8AyuKDC2TDwXXx0/0XdpdHNe4mo/+Fa5/8Y2VSse2GACUSn2Z/qx9u72QydOYM0ma1E20jBQrx2jORGXiEs84Uh8rmnb6LFg45oLX8a1jkcaMIyEUThOs9pKHtMZL2hjvC1O28hhadpWMOyvAmUClQQsaMmHzN5ZchfEHSgBFRT4UOXIBjRZYrNCqg7KNVQsnVlYjV+wykStW3CklyrVC7HiTRRN5go/qmBvIGDShwXjXJuJSfByf88O1Voi1g7a5xz3uMRra5NZJJ500KhgWcuxsmVgtDKkTkEmMen1BIaGE5NiiHXlGLWOPsZV+oURqT/Xjp520DfrQqs4Woyiu6mqHRJlpY+0nH+nlgw59rY4xdoSJIxyE58gTmshV7R1atdfjHve4sT/F1adosVNBsbNDQzY6OYJ3KKN2N8VHE9pAmXgRr1DAHT1yVXbqj86MPbS5ZpwuGsaustQR/QxoyiPFEd1o03YZ8+JW2uLc8xdHGjxqxxiPMtSN0T7tVB7bC6GjuvqcuriqPz7y/ok53Pg0v+MDvAmUbGMLTzgyaaccD5G/5lHGhEUGYw1v63t9rf8ZFuZYV3wiP7yj/fGyZ/GkMb7wIX4MP7tGbxDf1XPkOD/081eOd8T1h/L0uzyUJ09lxM+VwUyGGP/0juxoJRyvKocBxnjRPo4tW7AVBy+IJ42yjVUyhgzI0VIyjKzQXt4j1bbmL3XN7nptA3TKV16pjx1YvEsWW/wi14QZZxbOHPFmhBnb9GJyycK3+Uw+8tc+2in0gjB0kIXZvNCXxjE/Y19+9G2LCdq9yhz8k3kDf+GptJmreORF+i9yQ/3Cjxl7wdQY2pFIHclk/E/OWxQzp+ExdRc+Rfsi3UIMrXSejjPgDQoMnN9SSiVrRXsX/xm/ibjahq6YKAKAYGH4mLwNaoOSwmQiJ0AYVwSLiYxgobwS2pQ1wsSgNuDkJy8waAkNR4EoXVZUKANWtKWhlGDmrKYS5H7PxzEfR5pMnpnUDWj5EVTyJoD5GeDiMBD92DUly1EoylRWp9BkEohAzkTAj1B0HJJQJKS0SRUUtc24tF19nrHt0JbGt3aPUKuGFl7cEkML5KNfc8U3JkQKrh0KPx2RMlJ27rcX8C0edLWIYNHBVzxNtBRERgY+RBta1Rv/GiMWLCjs2oWxQiHg78VdRpZJwm6znSE8Hn5WljyijIAxY8fJZGtcHnHEEaOsNYbFj0yQ3hiLAp4JXV4meOOLYUI22P1hcFnhlSc6HR2myIlPkTeBkSfo1bdkCFlj3MoL7eSDd6rkIZxxwpAin4xNdKFHflbnxaVI5Agd5cFkSXGxw2EuUT8rwFaMlU0+aHeLLVGEKCV+NJ2STc6pFwNQHaxyotPcZLVTXtpJW4A8yED3aCNPtLH2orijDR9qGwtKjED5kHHkj7TaXBvLw8RPMaQQk1PyVG9QLgWNgU7W4W0/0qttvZOo3SxQ+IKZdtenDCTv9Nnt8R4KI4sc176MdgaFHcQsSIG06CFbKYN2ebzXYXzyF0d/RBEx5jJGtweUBfhcm5pbKMs+/IAu/qENEj/pq+MvrjpQpvUXPnKlhPZp+zx6/+2BlIuuWr88G7vaQF85LmiM6m8fn8luiNMiFirwOl6izLviH+2Ipxw7wwOZi/GF9sWTmccdoTN+gExSZngPv8ZQwTMxDNJHkS+u4ouLNvH5xZ/hZBcJrzL87PRIp88C9VaGMWTxlry0COUrxuKHZ5UbvrBwYmFC21iQs1uEdnFSB/SIx2AlA2KIMlIs3uAV4wkPkulkFdqqXEh98FnqjSY7iBabjF39pA21nzzIfMYRGWackmvK0Zf56QFxQTuDMtFMtyInLKKRZ2SYNHb+yRwLdXQ8cpjupFw0oRV9+CjzpXvtFp7SLukXUKZ+c6+Nw4cZf+57/t0ZkDriY7LNopVFOHrwJc7QUgkVwiS2ca0qYCznRynpqWStaO/iP+M3EVfb0FWbE5wGjIHjmJ9jJxQK28smcisflA8TGaWDwmLHiEAmwKzuENYGKaMqO1Cu+o4y5+wr4UhAEE6EmpUagoiAMHD1PeFvVYGhRXnwOzryEYbOKIuepZPeYFAGBYKSR2F1BtlRIQqdiQI9hIA0hAgkv0C+BAQQ2Gm3vh3TdlPhM7Ye2jLjP0Jtaw2tnqdd5aNfKUqUagsGDBN9mziJp/zQs2hkkseLeJu8o9hTEI09uw3ozqSGPlfHP0wEVphNypRmkwM+lsaignHjozN2mSkGxon0URbC4/if0mRyZWwwkHzBk0JprFAI5E0JoOgzGvgrS1p5oEke+dFjigeDh+FgVZYBZxxSHrzrQT4Yq2QJWr1/a9JXPgXHzqMdJrtO+pz8t3IrHgOZ4aEO2gYdxj76pKF8WLVWf0cDXU2Yfj+NPzlF/mgTSoaPY8ifHMv7KmkXq9ve7/SZeYtIFEztS74oh2KinsJy3AYoGhTOKBzyVGd9jO/wocUpSqy6kq/kk3ZCg/5VPzRoe33IwPPunH7R1lFwxLFLRt7FIKQ4oUd78QOyDy3ayk4fRQv/4BHym+LmXvuTm3jKYldksjaRlsFHWSOT7f5rD/yARzOejKHtOY4q0MBwpeSau7xzi3b0ZXxDxnzSVSdcPcA8SDGXl7HpuU/b59H7by+gKfWrdVSPtAG+Mi7JjRhaeMrOhrHAqGKc4xkLFnhdmKN3eBEP4228gPeMPzzPj1Fl3rboYU53ZSDgO2NBfGMW/+IrdMkP/2QuF4fMkSZ5Kpe84C+dPIwJCwTotAPltJM06isvwAvqLF+LKhZsySb8i66Eg/bTZha3GDteXzAmLPSgSX7qqh7GMwOM7NKO4snzzW9+80gXA1Db/p//83/GBZTIBjKHXqTt9IP6eWa0aS+LWxYx7CKSlRR8baV8cRi7ZBXZ496JBnNZ6pR33vV12kmbKVc7mjvJG/1LTpD5/I1zehl5QN9mlKJLHqDulZ/c6zv3mVuVwdAzR+ivGJLCxM3Yk2ZHjpHlgDa0mhe8D2ze0A90T+3R16OmXaRbyMcwaufZDo2hZTBZ5awdvlQlawPMuCjiahu6YiIDFAwag9zOldUZv2NkBYmyQGAQFAQqo8YKM6FEkaIQE3gGGmGEYQkQEx/F0SDP6jImNnk5zmPAEzryBgKNILRiRPGTJudkI0SBACJcCS0CiRJHgBB8VnkoMoQQQysvRstD/CqMQH4UCsI3Alib4Le0W23HoOfFGdsO7RghHqG2NYZWzQP0Y+7xFR6kaFOqHQurfSxdhGjoWTTQh+/wo7FlMSLvEVDg82Oi4c+MPYqR9wCMH2PJODSpUQIoJBYo8Dtk1dKYko8xI2743BiQzso9xUH7OCpMeTd20WAcOlZrccUKrTKkQ488tBtlwrtYZIb2ZXTpO0aDr5wxeNSLsWDSUmeKGGPLbovTCxQ9aY1fRgd5QfYzCoTZccp41w5RBEzqykezdIwqY55MojhK79ln1Rlb6qcO8qFU2PnSVowZCqU20lbkIOVHG1AilCPMPESxoZgwthxlZCRHgZI2feWZLGQIajvtmHcF7Wppb+2CBsYSo42ypxx9plxHkKRh3Dg6pP3wrnBlSCOccmesaFdyjtJHEWVIKVe++p4spSBqE2HaiREhDmVUWzAGyVPtpC7hQ2VTPimTruqlDzLW8ELGVMbk9kAcOijBDHO8Y+4ydkJfYLxHhtT0nPDIIH1tXFj8sItnnPRp+zx6/+0B9KRe1V9/ZF7XBsaP9mGI4juGqAVS/Y2f1dMuLyWe4WAXxDgIP+K3KNF4m7/2xQNkGGXfQixF1YkUsgk/Cst4lUdkEdkTv4wX5RnPdrQZ9tkhy9gyT+NNuqE62NEnQxht6onOwLOxIr4xgt/t9CtD22QO0Fau+J28IzOMA/Uwliq9ZAR5JA55Z8HBDjCapbeYQicihyxQM5K0uzCwWCUPR6ktgBhLjDuLZ4x65ZIHxhfZYczZSbSbZYGGvDF/GcdOaZgHhJFl6ENr6p0+0zb5UXoyS3n0NHoW+swZdCa7fvIWXz7JC2+Ft7Ub4DVtpgz9hB7zjRMH0pMZ0uov8cSPk8/UGNqRQI8xoh+1Dx1VP1gsxAOp99Q4W6RbmKGlIjrI4MnREwo9BSOVrBXtXW2AGRdFXG1DVwMBkxmcFDMviBvABqZVVoPSgCIUXQ0i8RhkVkIpDVbCrfgRJASKid1qmJVqCoU4GcwGu4nQ6immzkcxCAV5E0xWEigPBD/FDbPjC4jgE8+gNiEQoBQIBpZVaEKSUoV/CFhKiEGkHPVUDiEAMbQymLQH5D7tVZE2rfczth3a0fiubb+1hlb6D/Bz8sIrjBM7qXjOZJD+Tl5TAnSRQBc+prTge2OAcmKidQTFURHjDa+i34RowmXwMEKMT7sz5CTlhzIiL3GMMYsMFh4skshHHoDXA+ULo9Q4smec2JXS5hRv+VvV02YWRRzPY4DJR1ptKD0j0dEZ49vkz/AgM4xP8kP/aXu74GQDRcfiShQoCrsjb2QJ2WDcW2RhXFggkV8MHfFTPmTlW/tRrE2Q5A35Qo5RdiiRDC3GBdmgPPW3S0VukRnop5DJi4wDeatflAZp1MmuQD62Qz75sA+FUHzp0q9kpF04SpM5jHKmHRg3lFrKHwPV8Sf9jR68kPIpQhRXSiXlGH/w0+7C0SJvK9vqSJaSu9qeMqcttaM21D5owi8Ua8av9lAHhiND0BEiRgo6tV12tbQ3PgTGs7xd5adN+Gf8ZtxN8fyiEKdcBqZ5S//jY31nnKMtQGsd69XVOuBr/KKvKPSOfvZp+zx6/0Wi0pF6xfFTh/RbeBeP4yXjxEKEnSvj2yIHeWGXy06ledyY037hR/2d8ZD5OrxukRUfG0d2ZYwp+puFAnwkfhZUpYkyLg9ygEwwXixuWICRl7QMCDslaFcHvK8fnHIiJ8wLFnPJFTSmvu7lb9ziCbvGZKJ5AL1pG1ftJm80GW8WsIwLJ26ULR/11h50GvUytvCEZ2MO7erp+CW6nJ4ge8xh8kW/OPl4hkUh8g1vaX8LTPKkJxnPDKPsENqFJpfFZcwYf9rFAok66Tv9pg1S5/S5dlcug9DcYmww8Ixp+pC+JvvJaDSRtfpJH2Vs463wm/bKeBJHuzDO6HnoYISiGw2Rmckjzn3y3FmgbsY9OW5x0PhwfFR/WsiPXoHuOu5gkW5hhhYYTBSEGFpWo2dD6+Ijrrahq8FjQBBAlBATukFtez6fGTWgoiBlENp1pIDpI31lZYdQAQoZZY3QkZdVFxO+Iz5e4JQm73JQRgjcCHGCF4NHADnCY3VHmaB88dBFqbCKRPmk6BE+Bj5FIO+sWAmyK0qwRDmAKIryitDlJ39XAw/6iRpqu1Z+nLFt0IbaVR9EmF+cHa2aDz6xemtSogA4SqJ/xa99V+8XDXThQQoBfqNA41dKkEnV0TkTu3gEPZqNm7x7pE1M2I6KGZcmcnmZ9CnMJlXKtxVr9VcGaL/K88ogW03ExmN2m6V3tTpLIVA2Y8BEpBy0y8OKq1Vyk6z0+svCRww/41idhFHwpacQoFfZoH4UB8aLeOpHPli9ZQAY4+QD2SNP5UYOxPgiH8gW6byj5kppIqPkw/hSN/LGgpC6a3MGHsPCIo3FGYqNvJWnXavCxg8YRCZju+12jcgcCgra0CMOGajudikpeRR/ddOmlDDKKJ6kzGtDZUU2KU+dtBOZaqWbEmYxKbtI6i6NOmtfdbAaLy9KMgVK3zGeKWfqJV9h5CmZzNASR9+qE7nJyEcrpVvbqY82iOKk3UKjeiaMnMzYgymeXxTijBWGBJmv/x2f1FaVLujHfZx7eURuaEOGlj6zo7UzGVo9HalXaFCHGIz6DL/gKe2D9/7X//pfI2/gKwa/RQr9T36Eh/GjvvXsPn52TsSz+GPcUawp+hZljD1yh0JvzLniS2MYv1a5IW95Gf/4kxFi1ztf1SPrKPAWXZUhnX4xj+f4NBi3MTJAPeWbZ+mND7qIY3doyNyufbSdOpJZ5pjslhkXdjXxuHA0K8tihHlEmxn3dvKczFFPfGJsadccHdRu6i5vMpCewqDCVzFypdF2dsLIooxZepQFFPEYYHZYGE5408KVsape9b3eyBHQtvqJjDIm6HR4QH34y4/BTd6TL2S39ouMT/uE37R/+M/YEsfinnqrhzbRV/hN24ujn5MO3MszzzsD1Mc4oTfSf8lGC3+MePMOmkO3uDXtIt1C3tFKZ2IWQo2FjTnmHa2VQVxtQ1eDyYAxQDGagU3QUBAwGqWBQmS1l3JCSTKAvFjNgNJHJnurqwQqIWcQWz2i3FBI7H4RyoQZgU5QUXzz0ilhZEAa5AQJpY7CKR7hSOgYvBnABEWUEYLDKhRhRAGijCiH8KNYEWAENsU9SoqyDCwCxdWzOkZBjBB2jdHlOag8WO9nbBu0ofGd9iXUtsbQ4vgnLPm54hUTZCYlPJ18xOGSxnV7AD/hY7yIv/Cd4zqUFRM5YW9ix5vGjUncWMHLYLK262DFFd/ia/U0jtSPkmKycPRJem1ljCszioN0VqIp617sZgD4/Tq7LmhwhBEdFBXH+4zBjI0ob/L2Tg/lQBq7XpQLkxM5YUeLYkeRMJEztCIH5IVeYPxQHBgjjBf9RClxJFAaCkPiqqux76r/0n7qTWaQOepAiVCWHSgr92hQJ3MJ/kK/o4FZ0KMsqKc2kr881QOvuEL8yRwKITopQI7fKEvbSs+gserOkEEL5d88xuiTBi3kLAUssgU97lMn7WcetNCId9GXI5RokpbRpAwKrV0A5aKPgUp2UnYpbfyVoc+t8JOXl7rUpUZlz66aviWzreIbb4xrK99kPlqUp+1TrlV18lU6vIS30L4jxhJw2o2ybr7RXtm9EC4sQFulLy7xolQxghmcMbS0fZ92Ko/tBXTEpW78XTPW8RR4NncziPAeQ8uuJj6wS04O4Btzd4wUvIzfXbVjxpzxaOHHIoVxwNiwMyxfvGMBgZEbY8sut3Emj9ClDHyFpyjmxi6jFi9bGMWbfgoGzN2UeTIA/+FhstKcQE/RR4wdeZGHyrJ4i3fVHZ36kByy8ER2gfGQezyMJuNGefK1wKFuCbPzr554KwsUxh/jkOxCTxbzyIa8cqHdyLeMY3TQbR1XZozRm8xz0pMVZLv34xhZ6qM90S9ce+tHO3/KJLf0o4Vku9baRxvrp7QzOuhpZCu6jFuySjuRR+rKELUzT3+TDrRL+Cy8Ff7XdtpFH9rJI+fJGbKFvlh5Bj3GU83L1fPOAvSoL3mm7c2d2pseSt4KV4cp2hfpVtzQQnygwiYYuyUYcza0VgZxtQ1dDRoDhlAy0EzYFCeGCyFCCFMyopwZvCZuBpKdJKszBAyhw8gRbtBbJSdorQzYYid0CAkGmtUPaShGPrSRwUlAEJAEq7wJbwqLlRbhaMwkYAAbyFbDlREhjwZ0SkMAoY/R6H0GNMhDevlkErIaRDhbQSZQ1UF95S+O9omCCRE8acPcz9g2aENtiheBUNuWHa3aF5EXeIoxYUIxYeEDfSpcOUlT+3TRwEP4Dl9BVjzzw8GOc2Rl0GKC3RGrkSZVBpGJnvFoMs5Ehp/xq/FFMTRZWK1kPGg3EAdvG9PGpF3mfMHQOLGySXFxdMVYMNFTcDLe0K2s9JPxrI+sLDPuKGDqkrFDkWA4GcdWXS2ixGiSn3zFpShRzsgEipbVdnnyU3cruNrBuNaf0kibMWlSdywOn0hPfkWuMCAomBQ5K+HaNWnJKcYF+iwWUcoYiqFLe6EzCpNyTMZ4SBubn9Ds3u4/2SWdejo6xNClkDGUvePjPSu79NJ4F0b7oUNbKityxlU9ySIyTX0y8asTvkCLY0VkKeXNCQLyW/tSRCls6KNIM9qVoQ4MCEav45R4iQJorFG+yHQGPWMQfWSodNo47c6PYUlJQ486oB3dGcNTPL8oZPy6GkOMRGNdHbWRMHQF4iUNxPFLHDxuN4OyLS8K6s72jhY64uLHoV9/pL8oivrfO1P4lDJvQcUYY1TU92rwFfmg3SBjIFfjAv8wEiwK2Smxg67N8ZpnCjz9LR9kIavIGeM3ckg+yorcI3Pwq7amd1D87QqRYfztlNhhVRfpyAOGNLnFWMS3xmh2/o11eoHxqGwyITtCeNn4wqdVLqKJUeLINAPGokxO28jH+LZgY6FLOJ3CmESrRSYgvy1cxDDUlsak+YfhqS7oM27sItOrtAH91sKZONrLmDfOwMkF7Wi32bFKulcMQvOBD28wZsl0YzA6C7llbDLO6EdknHYhk8kjepW5RjvrK/OGNkzfZBxnPHDhsYwDYfiM7CAX8ZlywzOgrTNmkibPOwvQg066I352vNvciZ/0oXBtMEX7It2KG1oqkEoYCFaPWOEG3mxorQzSPrUNXTOREjgGvsFshZsQIzgICYKNMDYQKV+EI0FnoHq520RPcTPQDFTx7C4xtEzalA59aDAzyCgOBD3hYdU6q8UGaFZyCRLCm+Aj3A1aAgDQim73hKOdK0o0niEQDXyCjDJAMKoLAcegQp8yDCBCwYRCGbVzRsHNS+loUU7KMxBzNejSrpUfZ2wbtKHxrU9B+26toVVlSJ7d60cTC/4wQVJ28YBw5YiT8qXbHlAu+pVp7OF/hk12XqxWqj86TfQmfDs8FGNKg3FndZZREMVBXMD7FkhyNEg8vK488RgedqGMGcqHvJRJAWMsaSs729JkDGgfY8VYUJ68+BnvxhijiIJOwWAMoYOxwbDR7pQRq9bqKU9AS+QOmUJeoMUkhx59Ra6QRepDITQu5S89WsiMjEsKjfZjxCjTghHlTjz1sZLrqGUmf/7CGWSURmnMNeQJ+tOmlCxXcsJETFmjsDDM9Adlh3LIYImChT4yjGxz1RZkjombQkauiY+u8AElKXyRPqW8MKjtiDHQ9I02j+JrBZlCQBGjODHMrDBTFrKwYGeKPJa/dsIfjC+7BoxrBryVe/7qjs+0v6OcjmVLE3q0PRmOP/U5PkKjtpQ/4BM8nnHV8/5KI2W4Oi3h2Jm6O7aJP4Rp36CnKy7+4ugH85W5R14MiOW+Oph8pvwXgdA55YTpA/1GCcZj5IdFR3XBswwY48z4z0kUPK4fsxAirXy0BV7TlmQCXcC7OMYm2YyfyRpwcsUYYTwY7+Z349GiOUNJPuhGm7zIIroBOYXnGDfkAEPeQq1jfNIzQPjJG53GrbFgXBiHFnEYxvqcoWLON5fjZ0aE+lpQMj6VjZfVS33V0TPQM/C2Mu10M2jQaWzkwzP0HflblNIGFouNGW1ibkFH9AvjNDth5BlZZoedAaRc8dBDtyKH5I9+ixzyIa/UTftoA3GMN21L1unD//f//t/Yvhaa1Ef76DtjVdkMOOnpYuZR75aR1fzIrRildirRoe/1U+SSK4TvgDxw1WboV0/8oVzgl7bVzj3fusZvZ0DqYuGSHohf8C6dVjtGJkzRvki3kB0tDuE6kTA36EwUGB/T9RWdcrUBZvwPtFngOW2lPU2OBoUBQpkwOE3EjmAQyganwUqIUDKs+pqArM5E8aNIURQJDoxp0FlJIdwIGALdKo2+JBj5gT6miCjf4DTACWkChuJAISEYGEJReAyITCRASSOMCCiCz8vdXqT1zgvBRhFSFpqr0kQ4UPzQTImz2kewE+DV0IoyGMERIVPbNvczth0RZhnnFEYTDiUSD5oM9IMw8cWrbR/ZAAlz1Wf6VD74wFE4vC48eUHNa3shyi9etLjEaHHEA88bA5QeSrJFA0caGCKOxtnFwN8MLXyJdldjRxpKAeNBXAsWdm7CuyZru8UUBZM3hZqyTrlgaFG88L74xgkaOZNtxkPa2niiwGlbk3eO7JisKemMOQYcpYXhiEb51LElf6u03kuLwYMeuwiUOMqENrFqawdHu2gTbQb6Eq38yAzpKX1kFgPHeBfPNYYZviCn+JlbKEp4A5+Rc9oQnbUM9cI7XvinFIKyyEBKjHpa6Sc/pSFblO+q3sqm6FGQ1EeZ9d0T7RHFJbJYu+hLcolsI3spfcKVQXbaNZMfxUDfkpUWnMhliihjT39oI/mjRx31P9rJeekoWsYcxRef8dfe4msLfaW91M+Op51AuyTaJXmrB+BtaaCOy57/VwJx8te++ZQ35Vabi4MGdPW09I5/6oAv6ufdGV61XHHllzxr2PaAMuNqfdxrd+OKsq9N1EObUMqzK87QNr+SOcYqntde+Cp8qM8B/5gn9TMjxzEz862x+b//9/8ed0fJEjoAGYTf8b4531g0ji26GHPyBePVe5R2hsRhLDBC8Dees8ttvDE+hKMTb6sTmiyo4nmyx46NBQVyQ1w/70BGGo8WEtSVPCFHIwP0mzbK+JOncHOOxWHjlEGDTnXG6+QmJVy4NnW02txC7pHFxqw6qr907o1RsssYtbjCUOWvnS2aKJ+BY6eJ/JW3ulr8YCTn/TdjUhvqT2PUQocxrm7kFvq0W/ofPWQ53YthSD7pe/Fd9Vcdw/oNzfJIG4WvKn/lWRni4AnySJrIYvUXJo74SbMjx8tyQA9eYPjrf32sTemw2kMY4JO+LRbpdgpDa6qS8Z9xUWizwHPaSptiIAPDwDeRGvxWnxxFIVgYRlZTCTOTGKPKoLeaBQY7oWu1VtoIbKsDBjpjh5CPIUQpyeeWCSB9TfAQUgQwwcPQsWVOmaE0WFki6A1etGZid09IWNklSBl/FIjQbEIhdO2gyQ9tKUd9CRbPBKwjShQO55+VxV974EfxU67nyoP1fsa2Qzvix4zzlTK0pKmGllVXfZ+4tfzcLxpoBTwcWK21c4PnjRk7eCZ4ioXxQOngTzkyeeJXvB9FwTjGm2D13XEcY4zCTCnBz8alYzbGCsXGAoV8jQ3jk3JiB0yeaDJxusofTJxR4lyNJyuAJn0ru8ah1XFGoxVl406eju8Ya/JDn/z1i/Hkqp4WcSg38jr66KNHxYkiQ3kyD+g7sseuE0OB4Ra5IT9jlvFJxpBJFlx8elhfpzz1d+VHeTSmGRgWliiD5BrlkJInX3HIAH1AYWLI2RUQ1z1lngykbFKk9J/3l6RVDuUl98rMjhG55D2NvFuijdECyhNX26gfucpQlcZ4UKfQThFDu3axQm3OtEJNBup7bUAO4zVtLz+KA3nKCJanuhgT+o1hR7FjoGkLCp1xqLy0hToxEHOcMwpI+A9drviDfx2XU2NhJcDJ364lxVpf4H808w//9rT0rsalc8jDeMyOVi1T3Izjmuf2gvLiUnbutT2ecvTMUTY7l8aPsUEOUrS1kf4nH+wWWbDUd5ETxox8PAP+0cfGQl4bYNQYa/K2c4RXjHPpjUeyhVyg5MfQkS9aLf44Emi8kxF2R/GzsvAoHjM+nGogm8g+ii/+k4cwhoL60C8s6hqb6sYAZFzgY3WmOFtIZXyog/EYGQbo0V5osqAlDQOQ8cPwUyZ+IJcS5mSORR9GknEhz4xfbUUXAgsd5i80Gfv4yDgUx/ixcMHYcdSVvIwRx6Cy82UeUHd1YIhZMNZnxrd32FzpZeYDdMpb+5Ah5kxtYM6gd2lr454Bak50zNMcos31m/JAPujTNpW34vB86ktOgTJT97SHNpY+qONFnjsL0INW/GsnVVubdyzA42NhQC6Edi7XRbmFG1omJCuxhJyJA3NuiaDkN2Matd0C7RmhbKAYcAYqAWAiZShZhbFabQWEAWN1hdCiSJnITWyUBpO3iZryhTkJS8qQFyUpJOJRGAx0q1TyNJETVga2gY4GtMjD6g3DCcNT4PhhduF1cBMolFSChhKGPoKZsmECIHApEwSjPEwU8kGjiTgKDdojdOTpGmGBJ90ruwqftGtt0xnbBu0YJQdfEnomhBwd3FpDK7wtTQwtEzIFXt8mbi0/94sG+tAWfgaTsp1YPO+9A8qvSRyfmuytmua9BJM9JQa/4mHjIAqua46ckZ+UGHllEYSyY+XYezzGHmXMi8zGNoWdoZUJ0zgIffIOvRkXaLPrQQGgJDCMtK/JyrEU48/YJ7/llzGFRtfQjS7Hvii06m9Fl3FIuVFPChllgsKg/sIpIlHq0GlcqwuFztin1FgB14bGt3LQgC/QHnrIHkYUWcbQUwdKHNrQCMqhXNrNwkPoZAAx+PCmhSP8pc2jTCpP/spJXSlVlENKj9V49GlrvKB9ta1ndSKXpKUMkWvaxXjQJujR7/rUbgSjT/sztii1DFN0Ofqifmlz7aTPKNVkOxrUxXFx7aQNKXbkubYWpnz+0lZFStnoDD+gH1+7amP3GYf9WFtJJG/laE9KaRR7dAtbipbeJa7+0M75HS3tkHe0+rIXXb+loLy4lJ37yD1H4fCO+Y8eRUknO/CwediYMlbsmFroYIhkXtTH6W99Kj88iQ8sRhqTeN786mq+lh5vygO/ky+ME4orhd88zh+tjroZT9JacDX+5Y2n6B/yMp4ZcGjEz3Z3yTw0WRggG+Qbw5FBSU9RH+OBP/oYL8YdujIWQb3SjvwZenaN5WGhljzOcWU7dGQjWUe/INeMFXoDPmOgWLRxjz7tIF0MdkapxWpzEf2WLNA/PiDEyGK8oR/N9KQYlXZZyBXyWR7aS/nosxiC1xleFkiM4chDfcdwtLNPFpM59DZ6kt1Z86v6pk/1OZ0N3JMX+KjydRyelw60IzrNUTE61V9Yn35nBRrxAtmdo6Zko/7Vn+YLdclYr2kX6RZqaKmUFVFMQcgRdp4jKGtle1cbYMZFoc16JvGMgbQ5QWOAEUYGKyHBgHEcwMoOBcRqL2FjYjZYKX/CrCQb1IRgBisGdaX0mQANcModhZkyJk1WbcQ1WA1QdChfXCu0hJSVBcqYwQAGMUGQq/iEnBVN72Y45+09Bat5lCer93lHRP0oB5kMkod88ZZrFKRM0NqHfwZc344zLj60adrbvQmGYmmS3FJDK7IhQtFVGrxGQTcZ41f8Il7Suybf7YHwE/rwIv7D/3ZUTaAmTsdzTFx41rgyvtTDBEBBcuzGmDBJ4mHI2DHJU8BN4Iwe9/IXH29TGow7453SnU8IU1q8k2lcGJMmzcgH9KJVOa7aS17yptSa9C2KMBIpdhQDu9EUODTJ05iKYp56u0cHecKQpDjIh7ygcKHVLpEFGwYFRVqdLOxoG/mik7xyZVQKt0rvBXFtqN7KAPSrj6v00oljUiU7rEBTntAXmj3rG3xoF4A80RcWb/SF1Wr+dgZzRFJZ6iYPUB6lzQ5UdhIYb8K0cXhfPO0VZUl+5KWxID45p90jX7UPg4qso7hSEh09pXjhGXSof5Qf6RhJlGB1IGcpGPISpq3tzFkYY3w63ZB+S1urFxpSN/VVh4w9PJ76TI2rOvZWAvJSltMRlHZKpSOxxkHCQkstu3eJqw4UZMYJxRZ/00GSvpZbEf/tAeXFpezco1+fGNsWA8zZ+NvOMgMEGBEWWCx6krEML4YLA0DfGu/pW+NF/+MDwD/GtYUZxgEDnzFAccdH2l1avMeQ0IYMd8YOWYYPzek+oqFs48ZYFR8PioPPLbYwmhha+sJz8lYOGWBBheFoZ4ch4iizsWq8yJ9Mo0MYI9IZV6mHOmov/Yomxhv5QYaRw47IGrPiGpPKYzgyVrUhmrStY8/qb1fOwgRZqw2NFQYI44qRJY2dQAtFdCn15m9x2MKzfPGuOMZ6ZDbZSKchd8hGi9/KUldGl3wZVNpNX6FXO3lmrEpj55FOTb7pP+GARlB/fe1qfMunHy+uGUfiiI8++h0ZxVg2r0Tea1/xk35nBfrQqq3MmQwteqP6mB8in/vxD4t0CzW0VMrqEeFmgNpGtQLQVzYVrq42wIyLIm2Wdouf9tS2Bo4BQtAREgacAUigUTQovlZ6rYRQgAhFYQSRMEKB8SK9sAi0KDLSJI7VKkKZn3hBBrtBKk8rWGAACI+SJp57dLsXJo2y0cNAlB4fEZxW3R25UT80R7hEWGQywV/8Ini0Tdon8FzbdcbKAC/W8U1JtGp6cQwtcfCJ/mdoUeLd48/EDZLv9gChri7oxHf4DU0WMEy4Jk4vV2c1NWONsscQsupqNZQfvpePeuJjY0F+JlNy08qxe/5ZXJCfuManccioYxgp1wSeMHmmT5SBbkj7imMhhbJBYcgRP0YEhYSxpB+NS2PPmJJevmmD1N8RN4ofZUNeFDSKgDLQTAmiSGexRnz+0mfMopVyaYcqO+Vpu8g2fsqXTtvy1zZkHLlBUUiZrmiWzqKSRT/Hk7QTgw+dFgOzEm01lGGUtlZH6eWFRooPQ5/SaaeRoSOeMEibSA/Sop3MtSuINnmJR0arm3qjnYInb8afNsrRPuHqrK7qozzKkbbV93hDGcBPXupKcbJrp01CG3rcp/0yvoRlHPHHGwG/nv8Tt/ffVsgLTxofjEy7GIxO7Y0GdIaPa9m94y+evGJokRt0ETwlrKc7+fX+i4by4lJ27tGPT9LH5kJH8Yxt48txPgo32UDhZ5yTs3ZSGBc5nqpf5YOH9LsrvjRmyJa83kF2GLvKMFbwF/7EG9qN0csYYgSby4VbKHIE2liKQSONvC0eoI3Bnx0cRiIjMHwM6obnKcWMPvMEAxAdxoOFE/LS7pC4+Fcd1Mk9XoXwNroYZNpBOynT2EOTdGSQcAs+2sziknKNZfEtupCFxpD40gFZzVBCp3jqpN4Wt/BXjnHHsCc/yT/lqS+60OGIIZlB/mmLHPO1262tjGU8quwYU8aABRNGaI5o6gM6mTaMrqev9HEd3/io8nx4y33mCPLfbqYFQIs9mZfkK462lSZ5TY2hHQ30qLNFJh9UYWiR7zYZ9B+al5Jni3QLM7TSkSx4KxWYzna3CTYd1Ve4utoAMy4K7RX0/toVoxkYEUQZdAZhQMhGOREvgzOKAWTy5+/qWZoM4OSftO7zbFDKw7N4VoOyHa989AlznwndfdILR5tr7gltQlYeBAN6xFdnPKVMdCSNe34RNOG3nu9mrCy0a9rYMwXdCmiOjWyNoRXeEEdfOiZFkTDZWF3Ej4nbl7s9gK/UBZ2Ah/G7F6ApJVnBZSwYD8JNXCZwhoTJLUYEnq08nPEgP/xvsvXsmjGa8cif8k45oXwxGkz48jWe0Jm2DOInfca6o0QUDCutJir3FB30osHEmzGLVnlnvMsP3eig2DPQvJfB6ESn/AGtnikQlAT1SD6hFU3iKs9Y9+wK4gijtOCL1AHQqH3FS3nqxi/pyCG7AI7VUSzxk/by3oPdH7t3jPgojOhVP/VWBvrkaWeBEUBJtduA1kqne2VKl6v8wrPJD9DlGdQLXzD0GFjaPn0vX3UE+TC23Gt3ZQgnH9HCXzpKXlanQ1P6S3mu6NGOkLGUcRlM8f9yYVuLzPvoYRxZmLXDSOnVBugJ0FvLrs4z//CGvLwfrp/tBGSxVx613B0FtMbV+rhHpz7TT/pYn+tPO9eUcjsolEgLnsap9yz33nvvUd+ym+M9JadNpMGzkLzwiiv57J1B+TGELNaYr5WVuVY844FxgOcp4mQaXrVjQ/En67wPjm/xM96j76HVopNTCMZcdriNe/TIH8hDO3HKJ9tjJDIwGFzGBLr4oSfyJzzhHrQXXle245YMIgsnDAfjRbnKk1c+SOG9MMYio0v7kdnGdOjTDtIZR/LVDowebcEwye68HTj8ZWdMPo4nkjXoT3tqf7LP7nPa2bzG0NP+TvDwVw/1VH/10ccWq+2SaUuLQ3a/GJ+MYPXT9vqanJG2jndtFN6qfKev1A2N8kMHXd1iBzkiDM3GEn5Me0PG0M6CyFW7qvqe/GBs28FUj9Cs7hlrwSLdQgwtRLuqlM4nMFn7DC7HF9JZKpxK95XN84yLIm3TM0r8taf2zaQZRChhQojwhgxC8SKowMSewW7gZsCJ697gFz99nfz4SUtIJY083CefCG/5Z9J3Db0RbvKB0Bm6pE1Z4SMQR1oQN7zm2vNavZ+xctCu6Q/PJtBtMbQALwgHfWt1kMLkWIbJDI8kn77c7QFloivAkyYuSoiVSZOiCdgKG77Fr8aFCV9cfOkKGX8gL2HyAvV3ldZkn7IyvuTNaDHpWm2106JcE7ZweWZsZSy48jdWTPb83FNoTFQWydwLM96ULzxtXOsdepWlbpQI/ezIhhVc9Onz0Os+19zL31WbKk9+aTP+7pWjLfiRP+LwC038yJjQCsr0LI08POsfipQjP97bMUdRcPCXNrRzIC/xlRdalYc+z1aTrbRTkiglyhKuLDSIE95VtjqlHdLW/ITrl7QFCNPXwrQ/WkD85BU5qjz5pm7xV7648kvZrhlTaBVWnwFtU3w+5Rf0YduCzGFoMF4Y+z6A5NgYJT90Ahpr2dUlP3GkYWg54hVDyw5LrWdNsyOgDnG1Pu7RqQ5oBf1q/DNe1IdhYIwxeBgv+FBY3tliPKi747p2TqStSrixw4/hwDCjZBsDMYTCQ9JkXDtZkmO56LFrytiwA86QIpcdQ/YeF8PPcTe0Mgzs4DtNQ26jAU+7lz9+V67FVLvcFqAyXsLbGd/8tA1e0F7aBp38XMWXhx02fW6XTv1TJ5AHmWlxya6co8AMDfSTXYwW+aJTmcYh4zE04iOvMTCusvNsMZgRZaFN3Z3kyPtf0mvD1JsBpc78LWhZ6LEz5tUOi0GRh/pWfchycgmdDGw7ixaKGBIMI8akeqI9u/2RzZGb4a3wHoceQJu0FujINbI/7RUezJgLks/OgvQXuwPfM7QsnOFRvLpcHRbptouh5Vxttu2dAc0AqQIzlZ2xPDjXKSbJfcLSxoF2N+AMHNee6WpcAwsIowi4DDhpM2lHuEXARSgSTARFhAom5xehmrTykmfyQJPylaXcKBHSy1sa90kXekA64eKnjqFJmDqmrbi014yVhXYOb3EMLQrtthha6VdwH0PLuzEmRJND8km5ed4eUCa61AfP4U38bjK2qGRl1hEVE3B4Poq4+4yxtEF42rP8w8PC5K++JmZjRbqUK0+rj1a1GQ6OATn3H+XCmEgbyl9614wP4Z5TF6AEJK0r8BdHG8tDnhm7oUkbGOeUC0pclCr5o1OZKRftwirkWWlUnnji8/OMJs8gDnqkk68yAvklTtpXHuKhjUJvEtZXVtAdr6MoyV85qav4qWPo094ULgoJhS1pXCOvxA1dqZ840oc2eaY9xQP+6sxPPeSJZ5KnOKmfe2HKrHVWjrC0sTxSftrLNePGtd5zrpXf48L7QY1zcSAvdabQe8fC+zqMBf2C9rR/pVe66pKXONqZocVoI38cR9TX/OVT0ybd9oY6xNX6pC1Cq/ro1yjmdCrH1hxDw7PGGeXdIgnDyeJBjsLZcWHkOIKPV/GEPMPHjrNS8C3O2IGWD94Rp/KXq50Vijxek4++sSukHDvDdnEYXHaJHIfzjpSdH+9aMmqUH16Wp7wA/RkXwskbvJox5VndydfKB9rLvXjaTL7yUC+LRX5U2I6P59RbncTzrB7kKuPG4okxzaDij56MI+VHJgpLe4uLfmHq46o/lK1c7aU+aAfpPUsfgyu/PeiooSOSjKrkl3IYXOikU4vPcLVzaXfLCQ/8wKiVXvloD/+Aelee03acsLSZecucwUhVbpUX1SWfnQ3oxCva3kdOGFpOlhjz+ky9e0i3aLcwQ0uFdbKB5Tw8hrCysJShlXQztgx9m3H1nhOufdPOaXPtn3aPX81LWAYmAWOwYd46YacPI7BcI5CE1ziERdK7iiOsDv7Qwi/0ucoTkj5CQXz38kq+oYN/6isM3KeOcanvjJWB9gVtH/CvhpaV1i0xtPiBvq/3MbS8S+NIhoknaZMu+W4PKA/PqQ8+w+sm0txbic/qcHg/fAvqhM8zHsLv8q1t6VkZ8hQPkl/SGJtWix35o/BY5aRkmtTRkzJSHshXPZQhf3mI4z7PGVtJIzy0pR08C0u9pEs7uEe3POQVGpSdNMk79Ul+yhA/cdLe8hUn7eQqXo0vH9c8p578XU28FB3QRhBDFu3oDY2pb2gHNHgWL4qX+qkvhGYQT7lJH5qkrfFCs2utq3ihWzx+ylSOvNK+NT7/Wq6rMHFqu6Vsz+nL3CsvfVxd/GrclQB6gMxwnI2ixFjIcTT1QCu6+nLj8iyOOttp8C4OueGYJ8M6bVnTuq5kXbYGcSk/9+pa+UH98an3mRz1I1PtxljIidKPhxn/dmbtctgRZAR5f8juC8U//JFxiucZaAwDuyZ4WXiNo/3xN4T/8J3x42iWhR1GMYPBRzXs0NglYzA78kaBz1iTX/LNs6u6QspV5/hBaEi7hQ/EDw9Lhy7xGFcWVNRPnaVPXuKph3jCQDxx0t78wpPyV46wxE88+cVPvvwZSgyw0JK6J55yxMHreYfZzqDdsRifwsVj+KgHPwYXuW4uNK/ayNC3DFvGhaOZ4qApfQjh9/BWnl1rm2kT/aFsz/JRx7Q5JL1r9d/RQJP2snDg+KeFGmPecU91Cc0V0i3arbihlQpjSjDx63yGls+8z4bWYtG7+GtfbV3Rt3uehaV/IH1ZkfSuniOAoMZJeCCe61T/J78eSdvHT3694OOX/Gs5qeeMxUE79+3uHQAfhKAYWIXzlSp9JT4nnnt92ucRIc9P31ZDywvEFIKUnTThj+TXu8RfCSiv8n6PTKhBJjJh+Dc0uqberlP+CUs4pHztJF9KkvcyvB/A4KI8meCjCKTcWk7yyTiLn/DUjX/iVxqq8yxe6o2eikz80k7Vub+v6P2XilchTuIpq5YXOtGVfkEzoLO2U/KoebkXL+0qfdpZWqhyKH0kbvyS/xR9m0Nor/SmTPlW2iv6MOWlfH1SneftCS602V2wS+ILa45H0SOmeIhzRX9c8hNHm9il8BMmdBA7O97LoVgmTc0n+W5PxNVn16X4gRJNGWc8+aCL3Su7x5R48hAYWxZ5fL3XRxPs6HlnkhKeY2kUawp12rTKKW2t7cIv+CzGUML5xVhBEyPNDr62puR6j8suml12xh26pJUOpDNu0BElHy3pA9fUP3RAwjltxA/9aS/5yg9tMSBSH/HAfcaN9CkjcTzLL33iuacnz+JX+aHMei8sQId8K22MVDutdqZctaO2SnuTKxbrgDHtmRHE8GKAGRveC3Nc0W6XHTlloQudqR9aUx/OFS3qLL6+qXQpJ/0lj5puZ4U6ojmGlh919hVOR2rVq/Zj+nd7uIXtaOkYHe1ohhdRpwytWuGkm3HxUV380sZb0tbC0zfLocbNgA70b4+pMGkrXVNlJ22NW/3xWRUqNV5ftxmLRfql9i9DyxexYmg56kJ4i8+J5z79VfMwCXgG91Zy647WzmBohe+Wggk9Ey9EsZE2+aA19QzdU/59ndynncCxHIqkF8q9pG6l26SsTLSkfZJ/XC3LNX6pH//Ed63PXNKLi46MR1fPvVIj7vZC336QNtMflB+TsCtUWpNO/Sr4J336l7KSdKlnynYfORUaEia/OPdT5cU/qPmlrJSXOMl/OSRuyoir5W4vcKmLF/p9Kc44996KI2/pG3VGO5e06hCX+rjKz26Yj7LQQaz6e79IfydNynaVb/LcXoirz67oQ4864CvwzIjyblC+lmfxKTsYlOPsylLS7YAwuBibjmP64IG4lPi0Z/gXlBG/8FbKjwJOkQ2fywPfy0++dtLsXCnPu5nKtssWA1B6/Zv85MUP5KNc4bX+4W3luaZ/ufQxJL56yBdt7jO2U0fPyop/6pm657nygrwrPaHFVZrUI3TIoxovyoHUTz95Fsc85rgl/vSzGHa4tKcwfShfMly/elYH+QgPxE+f1z5MP6EbXWk3zjNaxEMjuEd7/OTtXrykTZvsjFBPbc7QcpKOocXuiPwQHqQ9YNFuIYYW6FwdxtDyUloMLdv2Om2pCs/YPkg/TWEq/lKo6Wqfgn6eQsJr2h41n6Xiyyt8VvOtcdEY19M+Y+Wh7fu+roaWoyQMLUJPfE68Po/ARFHvfaraWXQKWD6GkX5OvPR93/9xtayLC/yHrvBgD+G5hldzzz80ulb6k3/qwT9+EOdePvJFh0mYYkOhck7fJJ1jM7W8mkccv5SXOMpNuuoSJy5pQ0vaI3UOar23BKFjOUylq0i7ihta0UGB0C54MYoG8KsKStLFeeYfZSSKT61n6pqya7tUulxr/u778rj4BzV9MBVnc0jc6vr0eV40OO2kXnjXToxVfu8hWfXX1tq59kuf3jVhaJefXV6/xUQH8VVJR5flJTxpcp3Kd9GI65/Rlz52VfeMcbsY2se7OnYxYsRANTIoypT0HDnz7o/dL0fqokSLG74Mn6as8LGr/KL0SyOusIyf9I18yRw0icuogBgCwuU1Ne5CB6ctUndlhTdqOwlXpjB+aaean3BI2ylfuPJTT1cQnnqn7SFlpjzhUPPMvfZn+FRoN2WiM3G0B4PA1/Hwpi8z+kCPvhIXPdKlndLuaV/PwsVDk3xTr1o/YWm36tQFPegWH9zzk0ZaecQvbbAzQ520rR0sR+d9TMe3IbSzumiHoPbrot2KG1qpgI4CLxjbtqYc2cKrhpZ4QW2sGRcPU+1aHf8wWwaVa/oF+jRTbirv+CkjeVYk/0pb4vdI3JqmD+/zD9/VsuRfaZuxGHB9n3jeWkOr9nEmPCDwffGqGlomnMoPUNOnjOpqWRcXmVxNSpnU1cc1k3F4Ms/VL21U6xC6ofpXVH95oEObZrI1uXs26VByhCu3L6+Wk7wTJ/fodB+X+K5xNY/UVZnaBVJ+8kr5m0PoWA5T6aYQ5x49FBbtA1X50obC0Spu6ukaKFe9ks59+qHWOX0M6Xtp4week2+ltfqlrjVN4k4h4cljOVRX/ZNP9VskuNSTIeDLZz7qYtcmPwgdHtIGS9UvbSCOuNXQ8g6Mr8DpM3E4aXLdnvUNUnZ95mo91Fv9sxNiMcXukd0PMlAYpRuMfQYNuMff/B07o8Tzi8wKn4Y302YJq+Guyo7h4J5f/NEAKc89f0he7oVpfzQkPHEy5jhtkTYIX+Q5beU+48GzK1pTXviEv7zRmrq751fjV/++vJpP2iOI3FV3V0YQY9g7ceYpX4Z0pA9f60PHAPPbZz4Ygje942bnRftqO2WkXVz1efpUn8srBnb6P32DBmlSl9Shd/yEiyuNslI3dQLPad+dHeqpHo5SMrAue9nLbnpXWR3Vo+9XWLRb6I4WJreFzGKnHHkpzcpUrWit7IyLj9qutW2rS5h+iGBNf6Vvap7LYcrxT/5TSP6JWxHathQ131qXba3PjG0Hp621e217yoD3LRhaVu22ZEcr/UvIJz/Cn6FlUmJoUcSyowXhgzxDyqiulnVxgaY6OYdWCB+qQ0XPn8vR7J5f4lUkfsrKZJ9J1nMmYXHSln36Pv/Eib9n93G1/qE194nf1zt1Thm17O2FOPf6SztpG1dtlX4MvbUdUrfcg3BppJVOuLTug+STNqltkPwheYbW+pw4SZM8Ejeo8SB5bA7VVf/kWf0WCS5lUkat7vvYA3gPiRJb21M88afy4p++cIStGlq+qqfPxeHEz3V71jdI2alLXPzUVV3wmvGM3yjyeFebhHdd1asq3FXZFuZefq7iyzdleFb/lCcOuA/vgrKUq4zkmfKVJwxt/BI3O1u9IRCkDsrq+9X9FBImfvrNFY2hW12CWoceqW/qmvwqDfySj3iBZ/7qkPoxinzi3odAfIrd13Z9mMTv85nDvEfrs+MWEfKj3I6Deu8q/SfftKH2iqHVG1WeaxsmnfpM1SX1iRMufu2D9GnySPw+n50N6NRWjFgn6C5/+cuPRwjt+mojdRUnSLpFu4V9DCPMHUOLkPNr4l7OrBWcsbKoTLQcI03FDZbKq8dUvtzm0ib/xJ3CUmmmwioMpAp+0ixX1oyVAdf3gefe0PI1LEIvacTLvWvSQSYyV4Lf0UFf1PN5dy9em8BreTUtJN/q+K0UyDi0ufZlhx5h6pA4NV7Nq/rF9f65z3P8UoaJMZMjurSz59BRy14KidOXHZdyp1DTB3mu11rG9oDyXEO/ttA+4S/PPUJnRWiu+SR9ypnKQ7pAPNc+P859/5x0yUu+SVeReEEfvhyqi9+25LMSUD/Ko10sP+BqvPttKAp76l/bt9LonnONzGBo+aobHcTnr32MhzKWuNLlKr/ktb2ResTFL3V0VR/11hYZ6+rpGsU4PO1KeaaMU9DjL476g/uUK99aZm1nfkHyJVuUKc8K/uhLnJQlbqWtR18WWnpUOiBtAwmXhzJchacuuU98SFhF8opLvn3c1Ne9OMJTNzuH3pX1QSI87HcfzX8MLl+BxIsMLDu2vsR7/PHHjzuv2okBxSjVfvLSR9pRP6Z/09ehgV9Pi/vUl1+QusfxSx7SJDx5J8/EDfrnnQHoJjt8GMRn3X1Mx6tLvjyqPVM36NMu0q24ocUhWueAFyNtiRKWPkHpV8ynKjljZbAUEwVb6sRNXkthqfxq2pQ75de7Ghdq/D68z2spxE2FzVhZcPqEcA88b6uh5WoyARMLQeljGCYnhpbVwRhadVKpSL7V8VspLFfWUnH6eFyNW8PjB/V5qThpA37uTZSu8Y8T3iP+Nf8+nEv4Uqjp42pYpSf+S2FL3FS6Hsrqy5t6Xg59upSd8Ljql3ic+z5dDV/OJW3F5txUmh5TdHJ9vO0FDs8a63aevJ/lx7d9xpqiGd6JAug+aVMXjn9kh6PLfjCdcutjPOQPhTZxU65rzW97Yqof4p+rupCb7inFaE0buFbFmB94loby2ceVRxT0lLMU4kJH8vIMNV+yOrsurvpSuHxcQ3tfRrCUS3gtE9zXsOqfsHpfXQ2bipPwXGu+qS8/LsYPf3W2O+WLixYJbDLstttu448M+80rxpcflveFRgsKvg7rvUQGKqPYvKb90j+u8q10uK8IXRV9nCDhce5Tt7gpv5pHXPXb0UArnvOKkh1DxqyNHj8zFUNrKh0s0i3E0OIwBVRDyy9Ys/KnKjlj+2Mpl3BMuRRqHrmv6OMt5Vdd9Q8Svw+fygumXB9nxmLA6RPCOfA8ZWhRdJJGvNy7Jp2ryStGFoXhlFNOGT9pvLMYWj1quVOobiq8p7n3d1XPqbomTFuYnKNAAT/XuD7fgIsfV+P0z8tBnIreP/TXNEshaaYwFX8piF/Lra6POwVO2vBanDD+1cUvZQXxgylaatxtRZz7Wt4U+n6oLn7bExxl1Zj3dUBfHPRBDF9js9IfmvF2+iHpar2EyQd8AtvPSzC0yJ+3vvWtu4yhBWjKmI7CXcd2kHiuED9pYgAkX/dR4hM3ZVUa4vilnJQtrnyghskXquFRy+vLrEg+MOVqHHlUevv0UMOmyuzjJzwucWr8OPmpi7px6qqOnt2br8xP3s3yg7l+S8yPNvtB4de97nXjpoOPxXl3zjtXPlbiq7GOw3uG2tbKTx16hObQuSWQV5znmg+XOL1fEFf9djTUgaHFwPWj2Ve84hXH39BjyOLHqTTBIt1Cjg5yKqyTGFoqytDad99923vf+95NHTpjx6N3/La0f+KmwpbKY8q/uj4s6MP6fOpzdTXOjMWC0w/GfcCfosPQ8iOWFJ23ve1tF1ldco3znLT8M2G7EqBeLLajRYAytKz+mdgyIfWotHF5XhSmyobe1bCKnuYaBjX/pZD2SJtIl77o80z4lF/i9nGS1+aQPgz49c9bgpqmx1T8KXB9urg+bkXvpE29ajzP1cUv6J8raj4rhSkalkOfNq76by+EdymiN77xjccdAD8Rk6ODgMeX6geoY8BHI5785CeP74nf6la3am95y1vGvGq6Wtc+z+2B0J3nSk/qGb8q7+Lnfqn2SHzXxCNPYwQlLv9aVlzNKxBP2hhP1T95SJP0iSss+U2h5uG5dzVekHgJq4h/zTdp4p/neh9X/QIu8dVLnvGLvzmLMW+eU29geNmlcs0uY44K4kcGVgwtBhr/tIM8uZQXuoKUzeUaV8PiPCdPLnEqat5xfZydEdrStyD8Zh49we/HMWj1Sd//FYt0K25ohek49wwt51QZWl74s6OFWfpOTqcGfSPM2DXR92uPqTQzdk1w+tS4r2OcoeXrSl5qz4oyoZf+7530IMzVJCUuAeoHMBlajgQwtExcyqI0iJPyK10zdk5sqUv89C/UPHI/Y9dG7V+wKr3nnnuOu9e+IEYxNdYjW/p07sMPnskBRoCfOvCbXH5/j6F12mmnjQs0iVvTcTW/nQVc7nv6uOpXXU0TuboUap7LYSptxZbkU10fVuuyOWzOTaVZJEI74FP8Z24y3zG6GFaMLPd5xtfA3xyHN12FyyN574j67IqgE/gQyZ3udKfxo1nsD3ZIFhbwqHhxSbdIt+KGFgaLUyE/kveQhzxkk6HlOEAEZZxKVgZNxWfMmLHrIGPZuK9jPIZWdrQ2Z2jxjzB0jaFFgB533HGbdrT8UKcJSVkxtMRP2hk7N7bUJb7+DWoeuZ+xa6P2L3zkIx9pe++992ho+WJxFlX68Z34vZ94FN3vfOc77RnPeMa40CO/N7/5zf+fNLS2BIm/HKbSVUyl6VFdH7at+Uy5qTSLQk+z58xNMaIcB8R7DCuGlLDeEIvRxc/cN6Uvz1gadgJt6PjCKEOL/eFHy8mCqh/EJd0i3XYxtHzikqHlV9n9nkAqnMq5Shek4jNmzNh1UMdyJgfP3/rWtzYZWlaUt9TQCqqh9ZznPGc0tBwn8pncrHKLI+6UIjZj58SWuMTV/z1qXjN2ffT9+/GPf3xUlhhaFml9ia3Klal01Y8coGt873vfa8961rNG+XPLW96yvelNbxrzihO/Xvu8dgZwue/p46pfdX2azSHxLw6WynMpV9NCn245bM5NpVkUQnOcezzIkMoOVnjS/Jfjg+Y1xleMsBw5FEfc3tDiarkzLgptaEPHFx6dfGF/+KKjtg/Ei0u6RbqFGVoIVyGfVn3Ywx42Glq28vxY4GxoXTJQ+2wpTKWbcclFxnMVaAytJz3pSZsMLe9ImEjCH73jZ3KJ0ZTJxkrV05/+9PFjGL7e5IVik5I4MbSqbJlxyUEvV8I7My45qP3q6sdbfanYqjS58fOf/3xJQ8uYT3oufuTB97///XGBxm8W+U0jHyXwDkycPLiaFmoZOxpc7nv6uOpXXZ9mc0j85bA5Jx9tnz7ZXLqaN1R6Noc+7c6AOPfhwRhbdrXMY4wBV8ZWdq1AHP7mNf41v+pqeTMuCoso73rXu8bP5jO02B++PBqeBPHikm6RbmEfw3BVIRX0Q21eRL3jHe84/oZFlKIad8auhynB12Mq3YxLLjKeq0DzMvpTnvKU8auDVpS9I2GC6WVAvZp0qvEEJicf1fC5Z8bWqaeeOuaDzzJRVdky45KBKk/CV3meij9j10TtU1e/fXPf+953NLR8FMNX2aYWUpIuaTn3kR2nn376+LU3n9T2zpcfQvbBgcTNNfnWvHYWcLnv6eOqX3V9ms0h8ZfD5px86jjdXLqaN1R6Noc+7c4AdKX+aYNKb3+PR+1sMf4ZCTk2aD5bytXyZlwU9AQn525zm9uMhhb7w5ePtbM21SfixSXdIt2KG1pxGEiFGFp+K4Ch5RjA29/+9k0WfCqXis7YtRCBcXExlfeMXRMZz8Z+xng1tG5+85uP70hYsUs4hA9yJRRNNvJxT2aYhP78z/983M3yqWa/pJ+dsZRn5TB5ztj1ERmRPq6I/1S6Gbsean+6fvWrX21HHXXU+D6m96t++MMfblpIqf1e08V5Fo/s+M///M/xB2Gvf/3rtz322GM8cmx3rMbnxE+eOxu43Nf6JmyqDbiaJvcXF5tz4oSeWu5SLuFBTbs59Gl3JFIXdOGlqtT3SNxAPLyNX5O+InXt0834TWRHi6FFdrA/vCee9tWe4sUl3SLdwg0tluSjH/3o0dDyq+x+QyeGljjcVEXjN2Pnhf7bHKqwmII4U3nP2DWRsatvq6H11Kc+dTS0bnazm43vSFjBy6TS84lnMoIR5Vk8BhQBanXqKle5yihP/NBjDC2YDa1dD+m7zaHyR5CwqXxn7Hqo/al/vd/t2I9VaYsrDCbjO7pDn7464fIgOxhoJ5xwQvvTP/3Ttvvuu48f0fnpT386xqlO/D7PnQVc7ms7Jaz6VVfT5H5nQHV9WOqyEujzXiRSF+VWGZWw6mq8ns64hMdg6+PN+E1oIzuDfuzch7cYWo95zGNGHYROAdpS3LikXaRbiKGFaJUBhpaK+rQqQ8uL8FVYJn5f0fjN2HmRPl4O+nk5zMLjkoWM3fS9ez/YeMwxx4zvaFlRfuMb3zieVY/Q6/kETwjL8cIYWgSoF1t9CIM8cQSxflRD3NnQ2nlwwcAOwUXD9BfFYZjwLhh4ZArnU5TwwoU4HwbDfBNK3CEveW78G8q9EBctc8bODuPYGHbv6v1ui7SUJYsr//Ef/zEurNRV6aB3yYs8YWj5kVg/fnzTm950/NFzhpbw6vo8dyZwuVe3yLyEVb/qaprc7wyorg/bWBfGxeaRei+FPu9Fo3fxDz3hsYTFL6h0J06QsITP+E1oQx8ViaHl2PFjH/vY8SceyI1LjKFVmYGQc3TQcR+Kka08L8JThsIsXK1o7mfsePT90TsMq48xcJgY6kSon+MfQZL4eQYu8eMfvxm7BvRZruEL9wwtv2PjZXQ7Wl5Gz2fZw0O5gjTS5ugg3iEzHPfxmxgMLXk5hpwywjN57mmbsbKobRy3KWzAYCe1DQPWD7rs+uE6GlwMoCHdBRfoI8bSunbBhsEwvuC8IXDdkMH6wcAa5MS6od/XDXPEcP/rXzOkBv8BbUjz6/WD/9rV47UNYfBreQ3hAxddiIEf0DEaW7MM2VUQnnIlB6xC+1rp5S9/+dHQ8onm7HL3Y7x3wskC+PGPf9xe/OIXtxvd6EbtJje5SXvZy142vu+VtLVcLv4zFgntvBGjvLBQMi6WDH074HzjeZAJ6zf48t6A4bphkBUbzj9v6P8BQxjZsNEgM3cEQ+pB2IyLO/hA/uTPcKPcC3034sIFn40LPz19Kw/81fNt9Z8Km7F10Ib0BCfnvKbA0CJDvvvd7458AlPpYJFuxQ2tKgQJOTtaj3vc4zb9KrtV6BhacbWiuZ+xYxFXBUDv+OtjCrE+jZGVaxRn9xXC+YdXKi9sFJoblW2up2vGzovwias+1M/uKUzV0Hr9618/GloRfOnv3MvDFU/xkw8QoA984ANHQ+sGN7jBeA675iFdvZ+xOKSvoboxbPA6f8D6YBjKGwb/jcrUMOZ/PRhTG9YMhtTawdAaFOd157YN58Gqtm71OW3tuWe19avPHYyujUrVenEG/JpyxTBbt3rIcO0ggAbjbDTUhvyGPAdJM/wN/4dyxrIuNLRGnepCWmfsvAhPZQxTjrzbednLXnY0tD73uc9t+vhN5T/onfDMN//1X//VTjrppLbbbruNhtZLXvKS0S9plVfzyf2MRUI7b0QMrfMH2XD+YDyNY/mCQZ84f01bP+C8DavH64YLLLwBXWPVMD+sGvrX71CtG3SQC3He0OejsTXkrS/H/sQPrp44ugWPod/HXfGL8tKMXRfGPT3hbW9723h6xk9DkCGXOEOrEk1Y+rTzE57whE2/yu69impoiRuhGZc8Zux46JvAc5znTGT600ojgytGlGsMsDB44rrGD+QV51n6+PX0zNi5kT4LD+hPMsDRQYYW4becoQXSuya9K54hQI844ohReFqd9lsZSSOPpMv9jO2D3vHaMFhb6wb4bhYja/2g+awf+maQKONqNEVpw/rVgwE1KFHnnXMhBkNrzblt7WBsrV+zajDC9P8Qd/2gZA1geA1W2WC5DdfheTSyBoPLjlgMrfH/bGjtksgckzHsqKAFGobW7//+74+/q+UjOuIlblBd8pIH2L1iXDG0wO6WXa5aXs0n9zMWh40NvVFWeDJWNxpbQ58N43n9YFCdN8gHxtba9ava2nWDXBjA3+61Ha615w2yY/3GRTjG1oh1FnLpJYMcGPpe345FXVjk6MZCZ0Prkghj2hdFvaJE1yA3vB/O0KJDLKcbLNIt7GMYnEpl+z+/yu5LYTkSxKlgBF5crfyMHQN9UsEvfeNZ3zKuXPWlPjUJWnHcKPg2/ho6fwyePJIW+ry5TLI1fu5n7PzgXPXjxTW0YpC7AgF6yCGHjMcBvGvx/ve/fxP/JZ18+IWeGYvFlOM9GlrnD/04PNvh2qB/vZPF0BoUpXWDgcXYWg+DQrXB8aDBgIJ164Z7CzID/2w4f5AVQ/zxqBAji3Hl6OBgkI07W0NY3dGaDa1dF5HzGc8/+MEP2rOf/ex2uctdblxc+cAHPjDKjak5obrkJQ9X72M5LugT8T6I4X2tH/3oRxcpr88nzzMWhY1yYuiCUT4MPsPVuN1oaAFDa62dq/Vr2qrVZw84p605b81gTDlCOMwLGxhcG3WJ8Ix7805g3kiZm5wCx0IH6cTYGsq9KG0zdlUY097R8ooSXeOqV73quFjjHS066XK6wSLdwj6GocIqxdDy2zcMLb+h40V4CriwGrdWNBWfseOgTwLPce4JtCi/VajFuPJFOXCfna4IQ9e601XLSN7ixK8Pn7Fzo+cRfUcGxNDy1S8/NOzX8PVzIF74Qfo81zgE6P777z9+hcz56w996ENjnCDpxA09MxaL6uKnD7wTMVwGfWa4XojzLxiMoMFYWu9I4GAYrduwZtytWj8YT2vPW9vOXTXIjVWUqyFs/flt9dr17dxBTqwZFKp15w/G1obB2BoMsV97h2swtC5Yu2ooYPCbDa1LBDL2M57tOh133HHtd3/3d8fFFceB/JjrRv666JxQXc3HvZ1wXxpkaDly/PznP3804qrMyDUu+c5YFCyq6iOyYWjvcawO8v6CQa8Y5EN2tRhaZMZaiy+DHFgzyIOzz101yIsNbfWajccF7WTZxaKDRN/I3APmg/DCuHs1FAhKJRym6ZuxK0If+2iWV5Qsxl7taldrz3jGMy55hhaCIygxuxfhn/SkJ42GVn6VPYZWKjgOgFLR+M/YOVCdvtKvmJZQ8+NwGNs9v/zwHn87XBRqAlB/i+PZqmTiC+uFouc6CYY/Zuz84Fwz/vVd3tHyeXfCzw+GUpj0dSDepslwSJ9+FxZ5gq/23Xff8eV4x5D//u//flNY0oJyK00zFoe4PGv/2hdZgFm3flCCzlvdzjr3rHbu6nNHw+m8QYFiRK1Zv6GdtXpN+9mZZ7efn3VuO3swsFYNhtaZq9e3n5+7uv1yUJzOWWsRZ1CghvyanbHB4NqwZjC0une0ZkNr1wV+cc2YtxP1ohe9aFxYAbqDn3gIb9W01SUs8eyE++0sssdvafnxYp+KV0bi1euM7QD9NFzHj9aMz9p/QztvMKjIifPscJMPw/2qYZyPRwI3nN9Wrzu/nT3IhTPPXdfOWT0YXeesaecMMuKcVRuvZ597zgiLNjG6gBw639dKhzLSz3G/QduMXRb6lozwW50WVq5+9au3Zz3rWZc8Q0tFVYayAwytJz/5yeOnna1COzbE0IoyJH4EXlyt/Iwdg14YcZ71LcHFoPrZz342MjWYuHwVyq/5B1/5yldGBo8hJp40jC15MMTkYwCEXwjEGGahI7TM2PkRPjGmM8bJgKc//enjjpaX0WNoCdfPUPu5Kuo1DP/40fPLXOYy7fa3v337xCc+Mcat8QH/hJ4Z2wfaXT/or7FfLxzLxriFlXOGcX7OoPycNeCctWvaqsHw+tUwD/zg52e0b3z/9Pb5r/9L+/gXv9o+8aV/aF/8l2+3b5z+X+27//3L9sMzV7UzBsPrF4Mi9dMzftXOHIyx88kGfHGerxNu/EjGbGjt+sBDrpEJdqJe+tKXjp93Z2i94hWvGOeSjPOaNs595EGu0rzmNa8ZjxIxtJ773OeO738pI2k48WueMxaIob1tKo273eM41e+DvFg9yIhzzhxkxdmjsbVuw/r281/+qp117qr2s1+d3U7/8S/av333J+0zX/zn9qnPf7198jNfap//8tfaP/3rt9p//PBH7ZeDfFg16BqrBtlisdecQcdYO8gc+W80tPTzvHt5SYTxrs/9Vqdjwte4xjXG48ff+c53LjS2lx7ji3QLMbSiNIMK5tiQHS2GlslXmMpFINaK1srP2DGo/RJ4zq5VjCYGlq9BvfrVrx6PiPqBSXjIQx4y/risYxq2cRle3//+9zcZWnmfyzW7W8AAqysP6IBKx4ydE/gj49d9+pCx/cxnPrNd73rXGw0tSo9JcFTIhziu4qef3edZWHhAGr+NcelLX7rd8Y53bJ/61KcuEjfX2dBaPNLPkLbXVxnH4xge37na+FGcc1evaucOys5qCvQ557bv/OjH7WNf+HJ75V+/tT3pec9vRz7mie3Qhz22Hfbwx7ejHve09pQXnNJe/pb3tPd99qvtHwej6/Qzzmyn/+SM9l8/PaOtHoyu888blKZ1Pgs/yKhNhta64W+Yd3498MRsaO1ywEeuxi9eclTYkT/HBhlbPmhhd0q8xA3i3EcOkC3uGVoWdyz0OjrI0DIXzYbWjsX55+ujYayOfel+XTt3MLBiaJ1tV2rggzPOOrf92/d/1N7/0c+1l73mLe0px57YDn/wE9q97/fQdr8HPqI98BGPaU96+rHt1af+Vfvcl77afvzTn7dz1qwe8lrVzjzrzHbWWb8adA0/kO8jbAwtfGFemfv7kgbj3ng/9dRTR32DofWc5zxntEOiS0ylg0W6hRwdjPIEvvbhjKSVpL322ms0tCjqwsRV8Qi4uFR8xo6DPumhXxlFdiMYTJjXVyQf+chHjjsNlGgTGQZnWIPt27vf/e4js9uB8FldEyhDLQYWY4syBtnur/yx3OCYsfMAj7hmTOMXz/jE9n0MLUb51hhayVMa73le6lKXane5y13aZz7zmU1lpTzPs6G1eEROp/31k3bPGF49yPg1557d1p+3tq0a7n8xTH5nDHLjJ786s335G99sb3rX+9qjnvbsdpv9Dm7X3vPW7co3unn7wz1u165209u2K17/Fu0P97xT23v/I9tDn3l8e917Pty+9G+nt+/95Jftv34+KE5nrmprBmNr3drB0PK7O4OR9T+G1qCkj5+Ing2tXQ14yRUfAYXpla985fghDIaWY4R2ucRL3KC6yA7ywL186B0WequhJaymr88zFgvvcHqvKouqjB6GEIOIkXXO6lXtjDPPav/9yzPbN7/7g/bqv/rbdsTD/6Ld4o4Htmvf+A7tWrvdvl31uoPMuMHN2tWuu1u7zm43a3fZ7z7tWced0D70sU+0f//+6e2/z/h5O+OXg65x5q8GHcPvNm7c0WJkKSv8MUXfjF0Txr3x7pgx/bMaWvp7Kk2wSLfihlYYNxOv1WyCzWdV99xzz3E1m6EVQSm+e65WesaOhX6JIhwFytUu1H//93+Pv9qPme95z3uOzOzrLpToe9zjHu0BD3hAe9CDHjQaWCa2a17zmuNqovd0PvvZz45ffGKsVeMqZThmVHc8wx89fTN2XmycOP9HAScDCDtb+Qxv70swtCt/ZdKTrqYFz64+00yGODqI7z7/+c9vip98pEv5gJ7e9fTO2Hpo50DfUJgynt0ztFaddWY7b+2a9rOf/rT95Kc/a2ecfW772re+3U563Zva/g98aLvmHrdul7vu7u33bnrrdo2992nXv/N92nXveJ92lVvctV3+xn/WLnXdvdpu+x7c9n/o49tr3/l37bs/PbP94tzzBsVp9WC8rW3nrx/4xcp0MbTGw4OzobVLIuMVPxnL5ggfzmFk+UwzGeK9LTyXuEF1yQvkJR9HiXz1mAyy6GMBWDhZEZd0Nd8ZFw/VeU6/6MMYWuvWbfzS6Nq1q4fnNe28wQg6Z9AJfnH2qvZP3/pue/HLX9/udvAD2h/tfvt2lRvcpl3jJvu06+x1r/antz2g7XmXe7cb3eYu7Xeveb12+av/cbvFn+3THn/Mse0Df/+J9v0f/qj99OdntJ+dcUb7xWBwbbjQwFLGaHidP8gJ9MzHCC8xwFu9ofW85z2vfe9737uIXgB92kW6hRhanEoZRJQsFaVg+bFSq9mU6VQsQpOrFc79jB0Hk1QmvShQjCCrgbZm73rXu7ZrXeta49n3o446avxRyHe+853j753YvfLr3CbHe93rXpu+OukIGQXZ5Cc/RjfjLQZXDK1MgFN0zdi5oe9co4RnseWGN7zhKAesUhOGwsSthhYkLX9xcv/DH/5w/GohQ+uAAw5oX/ziF8e45Ef4NHlUYdo7fjMuHtLOoO2N5WporV2zuq0++6x2ztlnjsrxGb86q333h//VTj71r9u9jnxwu84t79CuMhhYf3yHe7U9Dzq63f6BT2z7PupZbZ9HPKvd6sgntZvc+5Ht6re9T7vi7ndq177N3dsDnvTc9oHPfr39+Jdr2y/P9IVCCpPFmEFpy4+cXmhobXwe+n82tHYpZLxmLJsLGEh2tMBCncWWOraD3iVO8vGzMo4dM7ScsLHCnbKS3nUq7xnbjuo8p32rzGD82GViaJ177jlt9do17ezVa9qPz/hVe/Vf/U27436HtWvsdpv2J7e8R7v5PR7Ubn/fx7U7H3FMu8uRT273fsTT2wEPeWK7+V0Pan9ww1u0K1z7Bu1Ge92uPf5pz26f+fLX2hlnnd1+Psw1Z/zyjIEX/seYs3PmE/EMrY1HF6fpn7FrAW/F0PLxrT/8wz/cZGjhuV43qFikW6ihRcgRaL7yY7eDQm412zs6qVgqztUK537GjgEXYagfIxQd3/JO1uGHH96ufOUrj33qq5J+48Qqod0uxwopVz6ha+dLn9/tbndr1772tcevxfnBSMo3PrCzMfXOVvhoirYZOycivKYMLcKOoWVnO4ZWjKsIwEA+rvhOWGSJF9jJEe9o3fve925f+tKXNglN8cSpeYSe3oXeGduOtHMQWRF5sc7CyTlnt7PPOqv9alB2fnHWqvaxL3ylHfLQx7Rr3uy27ao3u33b48Cj2t0f88x24FNe2A445qR24NNPaQc+4xXtgKe/csCr2x0f9Zftyrc5oF3+xrdr1/+zA9qTX/DK9rVv/6j96twN7exz17XVg7E1lr8ZQ2sjfrMOM3Y+cHgJzAd+eNRpCbtaj3/848ej53Vs13TV8RMHL1rM8xUyhpZXGPK7OuKQLYk/Y+VRnef0na+Hnrd244IMQ8un3RlCvzzzF+3sQQf4xdnntk9+8avt8If+ebvydW7arnaj27Vb3fvhbf9HPq8d/BcvbYcd86p2yFNOaYc+6cXtyKe9uB32hL9sd77fI9t1b3mXdqU/vnHb6053by942Svav3z7u+2MMwf5c+av2uo1q8aPbTC0GFx+buL8odz5Xa1LBvCV+YBu4aiwD/DF0KKbRj8ID/bpF+kWbmip4PHHHz+uZPu8qpdb7WaoKJeKc7XCtQFmbH9wJruNK04bJz73jv3ZlbRa4NOZ3s/62Mc+NvozwvQtwwkwvJeX/+Vf/mU0rnwpzu8aUJLf/e53j4aY97Wky04WKCd8NDUgZuycSF/F0PLs3mLLthhawoWRIxR4Xy+UB0Pr0EMPbV/96lfHuBAeTdr4o6N3oXfGtiPtG9S+cnVkcPW557Q1q9eMu0//fvqP24mvfVO7yZ/do13xRrds19vn4LbPI5/R7vfcV7YjTnhTO+S4N7aDnvfGdp/j/rodesLftPuf9J52wLFvaDc7/IntKnvfs136T27Rbrv/Ue20932i/XL1+e3Ms88blKaNPzHht3dmQ+uSAS68ZMybJyhLfkvLR5b8tlZ4rk9XXfzlY07xA6a3ve1tR0PrKU95yviTE8KVVePPWFlU53mTvFi3fsR5w/g9j9GzwXt5g6F11i/b2YOf3e9jT3hJ2+MOd29XuM7u7WZ3u3+75yOe3Q5+8sntsGed2g56xhva4c99c7vfs17T7v+sV7YHP+817chjXtz2OfIx7Y/3vku75k32bgc/4KHtHR/8u/aTX5zZzhyMbT8rcc6qc8ZPyDO0HCUkKy4Yf7R4mv4Zuw7wlbmfTsnQoqM6Omij5xK7oxVFyTGzGFrgF9rtYqho4uU+lef6RpixfaEvKE1WFTGovnT/j//4j+M7WJRdE5eVQsc5GFheVIYYTq4U6uyCWZG0yoAPML/dLrwgbXayGFlZeUBH+KOnb8bOh/QTXsmze4st+puRdKMb3Wj8TLN+T9+Kk/t65Q/ZKWGwO3ftYxhHHnlk+4d/+IdN8cOjNQ9AR+9C74xtR9o2SH/pBzCWVw2G1vp1G9ovzjy3ffDjn22HPfxx7aq77d2uttdd2q2OeGzb/6kntvu94I3tqJe+o93vxHe0g1/8jnbQi9/TDnnJ+9thJ3+o7ffc09p+T3tl+9P9H9p++zp7td+7/q3aE5/7kvYfPzmr/fLsdW3N2o0f59kwrkzPhtYlAVzGPXzwgx9sf/RHfzQaWkccccR4fHgqXRCXZ3mYt/zY8e1ud7tRfvg67je/+c1N4TV+vZ9x8VGd58jlDeuHcTq0/fp157U1F+4y2dliCPlNvY99/ottn/sc2q65x23atW65T9v3Ice0Q445pR167Knt0Oe9te375Ne1Q497ezvyhW9v93veqe3BJ7y5Hf2Xg9+Tnt9udeAD2zV2v03b6y73bCe8/NXtOz/4UTt30CvOHWTFuavPGXQMp2fOGX8s3a4WQ6vOGb1sm7FrQL/px+xoMbS82sL+yM859LpBxSLdQg0tUMEXvOAFo3JNyfKJVg2ReLXCuefiN2PHYJOyNBhADB9MapfKxJfjWz7hnvetwHFB0L/iMrYc25DP6aefPjL/He5wh5H5jz766PbpT396TGcizJGjqjCjY2pAzNg5kb7Sf/Ezzhlaxx133GhowZSh5QqRG4GwGOB2sBw/ZWg9+MEPHg315DEbWtsX2tg17Zm+0g/Gsf5ada7Fk3XtP37003bK609re9xpv3aZP7lZ+5M737fd9THPafd97mvb4Sf+TTvilPcNxtV7231OfF878MQPtANf8uF231M+2vZ7/jvb4S/8m3a7hzyr/f6ed2v/9+o3afse+oj28S/+62BorW+r12xUxuejg5cMxOElfOTqR8kpTAytgw8+eDwFMZW2Rxz+wItvf/vbxxMVFvos+H3jG98Y44WPyYrqal4zth3VeY5cZmBdMBhbPmazzg8U29Ua7tesW9t+duaZ7eTXn9qut9dt2tX2uHXbfb8j2gFPeH47/LmntiNe+I52yAve1e769De3w178/vaAl36gHfGiv20Pe9m72tEvPK0ddewr275H/0X741vdtV33FrdvD3/S09rn/uEf27mDTFozlLlqzbmD3DinrVp9Vlt7no+y+RLhReecOnfM2LWg3+if+RiGRZoTTjhh/Bmica5Ypn8X6RZuaFGwVZSh5UVUR8gcJ1NprlY491z8ZuwYUJYYWQwlRpCJz/tX3rfKV6BOPPHE8aw7xqY427K1o+XK0KIgS8uQ0ud+94iCbDt33333HT+cIV0m1WBqEMzY+ZF+M7bjpz9t28fQIgOqoZX40kLPB8LwIR5i1DtGxMh/1KMe1f71X/91U9zsgkLNT/69C20zth3pn7Rn2l0/gPcvVq9a2848e1X7138/vR37olPatfe4fbvsDfZqu9/noe3AY17WDnvBoCydNChOL2Vgva/tf9KH2r1O+nC7x4kfbvuf/PF2zxe+dzDE3tkOfPrL2w3veXS71HX2aje67f7t1X/9nvaLc6x+D8ra0L2zoXXJQHgp4x5POZbuuJ8fLD7wwAO32tCSB34011jk81Gmxz72sePueMKV51rdVJ4zth7VeY5c3jD+2Ph5QwcM/bxhGLeDgeXT62sH4+v0Qc941FOOaX9405u3q9/89u3PHvj4dt9nnNzu/4LTBnnwnnafE97T9jv+Pe2oV3+6HfWKj7ajXvbB9tCXf7A96MVvaw88/tR20BOOaze92yFD+r3b3Q45or39Ax9uZw26yJqhnDXnDXPJmkE3WesI4aqhzI2ffA+/BWjs6zJj54d+i6Hl52SM9xe+8IWXXEMrlSEYGVrezfCp7/wWBuU68VJRaVPh+M3YMdA/dqTAiiBQmI899tjxq2+MJauEOSrY72BhahhXti9UlKX3rg7m9xEN7+s5cx/hVgdB5YsZuwbSZ/o9fvpUv9u+Z2iRAfo9u9qJkz53XwVi+BAP2QH9gz/4g9HQetzjHte+9a1vjfGAMhWec5/85N+70DZj26Gd076QfhuNrAuPeq5efV4741fntK//63faXzznhe3KN7hFu+KNb99uc+QT2iHPeU07+Lg3t/2Pe2s74EXvHo2sg175qXbgKz7V9j3p79s+J3607XP8u9shL3pnO/KE09qt7v/kdvkb3KFdbbc7tGe84BXt5+f4EeTBrFo/9P98dPASgYzNjHvwBVsyw+Le/vvvPypMfbopxEU2vOtd7xp/69EK96Mf/ej2T//0T2N45IR41U3lOWPrUZ3ntPcFG9a38wdj64LB+Bl/cPx82NDWDIbWdwed4OCjH9Kustse7WqDoXWPxzyrPeiEN7X7v+ht7aAT3tEOeOH72r1f8pH2wDd+uR39hi+0o1718faAkz/UDj/hbe2o57+pHf7Ml7XbHvbwdvU9bt32uOO+7aWvO7X97KxzxrxXD4bWmrV+x3VNW7+BcWeRd+O8AZlPQmdfnxk7LzKOLfT7WQg7WjG02CHp46X6dpFuxQ0tFcgVVJBxZUerGloqzKWSiQ+18jO2L9IHUXBjODGU7CA4dnHZy152PP73/ve/fzz6J1y8KMSMK4pW7qUVx7tcdjMY3ZRun/y2I4YXTIbKjLDLdeaJXQfpJ32XZ33oPc3nP//549FhMuCUU04ZhaEwzjV97Vr7vvKh1W1fIGNoec/CRzYSP4aW+LOhtVikX9K+oB/4nTe0fYytc1etbT8fDK0v//O32yOf/Ox26Wvs1q4wGEq3OerJ7d7Pek076AVvG42se7z4fW3fF3+w3fPkj7e7n/zJts9JH2v3OOWz7YCXfaIdeuL72gNf/I4hzdPb5a5/h3aFP7pFe/TTXtB+fvZgzG24oK1ds/HT0BdccN4AipOr39Ya+GekTX8HF63HjJ0T4S/j2c+EmCsYWn4mZHOGVuVJLnz5nve8p93xjnccDS274b2hBdXVPGdsO6rzPLb1+UNbD1eG1vm+OGi8nu8HhDce7/uPn/y03fsBR7crXffG7fdvepu276Oe0R7+sr9p93/x29u9B0PrkJM/0u5z8sfaIa/4dDv81Z9pR7zqk+3Br/lkO/qU97cHn/T29oC/fE37s6Me2668217tOje7ZXv2SS9tP/z5GW3VUN6atXSRVeP7YXayfj0eG4yRtRGOEm6Eecxi4BSEJXzWT3YG4C396PTUa1/72oscHXSyLjIl471Pv0i34oZWiE6lvbzqvSzv9djKi6FV4+V+Ob8ZK4cwWtqZc1+VVqhGFmXXOzGPecxjxndknJv/yEc+sunon3C7WvmwhXxibAWOHvpdlL322mvT75l4KXlU0Ia4yoyC7Zr7KdoTFtQ4M3YM0g/6Jlcg5LynSWFyDOilL33pKAwTD68EEYYVeBBvveMd72hXucpVRkPLj45axAnvuAbShKYZW4/xPN4EEq6ftfPY32TH8H/DoJis2zD0xfp1bf2grKwf+mDVYAT9/Mxz21f++Tvt4U96drvMNW/afn/3fdqtjnhq2/8Zr2v7H/837R4vem/b96QPDcbVR9rdTvl0u/vLP9v2Pfkz7cBXfXVQpj7T7nvCB9qDXvzedrsHPbdd7k/v0n7raru3wx/1tPaTXw1K07qNPNYGRa2dv7a1DavbrwdcsMHPQ8QQHOakcV7aiMFrSSTO0rhoO81YWUQeZBy7/+QnPzn+dp53tBw398534sflufpHFoVXGVp3vvOdR8XrEY94xPhRJ+EpMy55zFh56Avtzcj59YDzz1szDN21o6Hl+OCGQX6sHmT59378k8HQevBgaN2k/d5Nbt32efgx7SEnvaUd9ZLByDrp3e1+r/xoO/jlH2v3OvFD7cCXDPcnf7Q9+A2faUed/IF26HFvaoce+/J2+yP/vP3+jW7RrnXjPdsxx72gfXuYK1ZfKJvoIuvXDfxFpp0/0DUYfjGuNhlOzRUPWrRZR8IN3LERA4eOuODC8P8xvn6zzjO2H/CWsc6+eM1rXrNpR4vuQW4IoxuIF/kA7mGRbiE7WiFehXz225cGfdpdxW3j+Z2lWsncc73fjJWH9g08c+7DqAweym12poCx9fWvf32cpC5/+cuPSvMXvvCFUWiJC3lPS1z5xEhjsMnLEUNff7rFLW4xGmpPfepTR0NLuTHuQlPoyXNPd5CwGTse6Y9cI9SsQltVwjMWWyy8EIbCuCr8IgwD/vgI75x22mnjD5cytPwQtmOneAZ/ilsFaaVrxtahGlcVCU8/jf1MdlBDYmh532JQZs4bws9evbb94qzV7Z++/Z/tsU87vl32mru3K97oTm3v+z+lHfisU9t9XvSudp9TPtLu/ZpPt3u98lPtbi//9GBkDcbWyZ9th7z2H9thr/pi2+8572z3P/6d7Q4PPr5d6ab7tf911d3bQUc/vv383EE+DYaWd8F+PRhVg9a20dg6f814z2+jwhQj6TcxkH8RTMX5TVy0rWasHCI3Mgd59l7vnnvu2a50pSuNP5BPYUq86mo+XOK4yu+9731vu8td7jJ+TOfhD3/4aGhxkRVxSTdj5aFttTdD6/yhfzesHQytQV74IMb4FcIh7Lz1G9r3f/zf7aAHPqxd/o9u1K54w73b/o97bnvoiae1w72j9ZJ3t8Nf8Xdt3+P+th34so+0g07+WDvwxA+3I17x0XbYie9s9372a9u9nviCtseBD2hXutHN23X2vFX7i+c8r33zP05vq4Z5goxas2rtYGgN/TzYTYN9NNCFPv0eg2nDIO7It4GmC84bMBiDg7HVBuPqovgf42s0wCbqPGP7AX+Z/32QLT9BVA0tMiU6Qh3n7mGRbsUNrVoJVz8wePLJJ4+GloqrtIaocXLlqt+MxUD7Br1/FFbKbYwofu59qck7ViY98BsndqnsTjCmxIlR5lk+2ekSJq4tXbxA6fa+l6ODtVx0cFP0hcY+jKtxZuwYpE+ivOhT93aeLLDYxbTYctJJJ42LLcITP2n5JV2AB73T9cY3vnFc2XZ01TtfSxlalTdmbD16AyuocTa1s7E6ZWgN9z6n/MtzVrVvfe9H7WnPO6ld6Y/3bL97/du3Wx72F+2gY09tB73gb9r+J76n7Xfy37W7vfQj7e4v/0Q74FWfawe/5kvt0Fd/pd3z+A+1+zzv3e2wY9/SbnPkse1KN7ln+79X26Md8pAntx+fsbqtG3Qdq9KNoTWUO2hvAzEbrwwt9I2nlIYoqrUyuGg7zFg5xBnzxrSx7b1MC3N+HN+OlPc9+/HN9c+RKUAuOOa+zz77jEfe/R6Xn4ZIvKTh+rxnrBzG8Ti0N9mxbu1545cHf+2o3obBb+ij84fwdcNg/cHPftEe+OdPbFf6kxu337vR3u1uD39au/9zX9UOed7r25EvfVe7/8kfbHd65l+1Q075SDv05R9t9znpA+3Ql7y/Hfz8tw1x3jAYWse3G9ztvu3S19ltNLSe+pfHt+/88Edt9SAwvNO5bu0wvwwiw0b4BYytsfv9o4MGFgFjRG3cwYL/8fsfJGyqzjO2L/AW+8JvdfrCKEMrRwcjU3odIXJikW4hH8MI4SpkR4uhZfufoeVdDQp3KqainOda8dzPWHmkf/p29rxJEA4MmXeuPDOe9JsPYPgCFGU3KwUxqijEdq7yXpZ0gMGFiYvpvadzs5vdbPwCpQGgzKw2hKZKH1f9algNn7FjkT6J8qLv3ec9Te9oTRlarknrHh9EjrjiJzuljgPYTQW8450/vAXiSZs8Z2w7egMrqHHG/rnwgxMQQytgbK0dFJtfnX1u++7p/9VedMob2nX3vFO7/J/cqu1xwCPafZ72ynbIC97aDn7Je9pBr/hw2+9lH273Ovkjbb+X/n078GUfa/d75efaIS/+SHvkKz/Z7v/s09oN7/aI9lvX2Ltd4Tp7t8c+44XtF+esGX9HayBk0IPOa4P2NFwdHxzurZIPNGwYFLj16wfahiiqNYW4qbBpXLQdZqwcNvbDRjliTBv3n/nMZ9qtbnWr8Su3t771rcefiohs6NMHXJUf5MkHPvCBcUeMoeXLt1/72tc2xUsabrl8Z1w8pD9GOT3IBsbVrx3bG8Bv6InRdPn5IDOe8+KXtT+62a3b1Xa/bdvzgKPaQU8+od3/+Ne3Q45/0/ij5gcc99Z2/1M+1O47GFj3PfE97ZAXvaMd+Jw3tMOPe307+JgXDvLi4Pb/rnHd9ie3uHV7/imvaD/82RltzbpBFxmw7ryBjsFmWr92uK4b6HJ8cOx3vLARAycUmJ8YgnZZGVSMK/PMRiNr4+7XPO/saOhDeiS9wAe3HBNmaNE9nKoRdokxtFIBVwLOO1oMLV+Zo2QxtOxypWLickmXtLmfsRhMtTE/gjCTU5RYEx5DCZP6IAEGvvrVr97222+/8TO5DC1Huxhm3tHKUUHPDC5hjop95StfGT+t64uF+bFj/vKNkVaVbOAqfT341zgzdjyivIyT53BPBjCMfATFO1qODjK09LU+HCfeC4Wfa+UBVzxoR4vwZGR5MZ5MYfhXnkk+Mz9cPFTjqqLGGcefazG0GFfZ1dow3K9fv66dfc657cc/OaOd9rcfaH92j8PG44PXvs29276POq4d8cK3tAe84n3tsJe/v937pe9vB53y4XbwyR9uB530oXboSz7S7nvcu9oDn/+udtgxr2nXv+NR7f9dfa92nT3u2p530uvar1Z5b88xwUFGDPzRzhuMrNHYGu7x1fqBH9YPc9CgSG0YjC3V6tG7qTi/iYu2w4yVxchXAzInfPaznx0/y27MOwnx7W9/exzrkQ9TeXAJjzz50Ic+NL7jdc1rXrM96EEPGn+TT1zxkoZbKs8ZFx/aNnL6/A1D34xj1PNwPxg7sG6Ic85569pb3/ehduPb3rld8Xq7t2vtfdd2v8F4euKrHSN+Q7vnMS9v9z3+ze2+L3hru+8L394Ohef/dTvwmS9vhz3nFe2AJzy7Xe+O92y/c63rtb3uevd26tvf0X565tntXD85sWZdW7vGjtowr6wZyr7Q0Nr4IQzzCJiL8AX9Az/gpSF8MLJcE5ZjhuNRw9nQ2uHAW+SGky4+uEVPtatF98hXB8kC1zrO3cMi3YobWnEqTUFSQUqRHQzvZzjyY5dLeHUReKl47mdsf0QgBjGCMKgJyg9HOjqoP/0Isa/KWUVgYDGs7IKJ79l7W4ypf/u3f2unnnrq+OUnX4673/3uN77ozBgTN+nwTAZDeKLSE3/IAOnpn7FjkX6LQGNo+c01H8RxfNA7m9XQqv3t6jn9m2eGlo9oODroPS1nsOURvkx5wFV6ZmwdegMrmIo7jL7xU+oxtHwMA9YNBs+6wfhZvWp1+9WZq9qnP/cP7cGPfkq78p/cvF3hBrdutzjoUe2QY1/VHviyt7f7veTt7T4vfns77GXvbUec8sF2/8HoOtJxoOe8pR16zGvbXR/07PaHe+7fLnXNvdrt7/mAdto7P9p+eZa8HRUcOntQzEZDi8HlPOGgvP16MLLOt5s1PA6sNABfkiVDkgsxkD8iLs/LY7odZqwMMu7//+y9BbxWVdr+//n8/u875ZigpEiDpKQg3d0gBqIYSHeIit3dXYiioEjZMY7OOHaN3Ume7gC8/vd37XPD5vE5gA5HYV4WXGfvZ+21115xr3vd116xafO07X/+859hJIp2z0saPulAG9+e/sdxHbhueeqpp9SvX79AtMaMGRNe+hGW++MuWXx7sWtA2VInUf0ZqbJ2ml9g+qLIdDw7iNoxt7BY+Rs36Y0PPtXRp05U+bpH6K81m6j7iVM07vI7NPrCW3X0/Bt1ytUP6qSrFmnUFQ/qhCse0JirFuqEi+/QcfOvVqcTJqjiEUfp4HqNNfK08Xrun/9SWm6+Mg15+cyuKQ6jWk6ymH7suwxuJVtbbQxIFcc4IqKFrCE/ERLzuxe/Lagv7EcGcngpy2gWs+iwPbBBXPZAVIfRfV6nZel2OdEi4TjPNEQLdsmCVgxzPlxKpsls3G0V6p8X4F78tsBxdIH0Tg8wBMs3CvieEVv28xFJvlGCP6QKUka9c4RosT6LNwy8UWQRMqNZTCFj2iHkC4JFWEiWj4RxP28m3OAmHZzHgR/X9srN7gfqhKPLDy9WmC6YSLSoY5cvD8vRzwFhAOsAmQKAwcU0Ij5IiB+yQjgczyUuXGKa9mLnkYxkgWRhGdWKEy1GtAqKClVQmK+C/FzlW/vOzs7Xp59/pxtvv19tuw82A6i1arYfqM4nz9XR596sUVcu0HFXLtTIywyX3K9Rly3ShBtWatyVRr7m3qSmPcfor4cdqSoNOmnG2Vfroy9WKyvX5KTI5COvUD+ZsWaCIHuwHYv1U1FEtDZvxJCypBvCW3Mz4CKdgcGHfCXP0178PqAdUz+uA5xoDRkyJIxkYzT5LrVxHZEYDy6q5+gNN2GffvrpQLTof0466SS9/vrrW+53x73ckxjfXuwabFO/1v4KrZ3mWZsNU/qsfeYWsIFOofLs/Nt1qbroultVr3Un/alKXdXr2FeDJ56lk8+7QWMuvEUnG6k64aI7dNJl92j0JXfqlCvu0okX3KD+E89Q/a4DdECdxmrYvovOvepaffTNd8qy52Rkm31RiFxF0weZIRiRLOTA7InNyBXyspVoke5INkyPWFjXHa5LousR4nndi98e1CO6gZkut912W9AXALsBHrJF9kp0R/w+UJauTKYO+tGJFuwSokWm2UwBPzeIcGSWQvB7vQD24rcB5R7/7XWAQNJROfEBjECxYxNvBRml5A3hqaeeqsWLF4ft3xFypg8yXRBjmjVYLETmu0dHHXVUIGiQM/xYd0PcwEe0fPTMCRdyAuLpcD/S53ITT/9e/L7wDsgVWpxosT6PqYMsWKUuCUtd+j2E9zrl6PKALDEafsABBwSixWcCXH64D+dx4Twte/HLkUiwHNuEMecky4mWr9OCaOUXREQrNydbaanpWrM2Rf/419uaMOMs1W3ZWQfVb61q7frpyOMna8DsyzRs/vUafs6NOvb823Typfdq7KX3a+jUK9Rh+GRVadxd5Wq01qDjJmnls68qM9cMtHx7tpGpQiNxm/ONsOcXGIx0810tM9g2mREH0bKkmSz9ZHLBy5rohY3rDZezvfpj94DXhet3J1rHHntsWBfM0gO+5eh1WFrd4bx+0TGE5VMk/fv3V7Vq1TR69Gi99tprW+53x73ckxjfXuwaUNaUL/XBCFaREZYCa8MFjGZZW801EpRtbTnHjuszc7Tsmb9p+Jhxqn5EG1Wo30Kt+4zUsEln6thZF+qY2Rfr6DmX6sTzb9DR8y7X8NkXqtvJU3R4j8Eq16C5KjVqoWFjxmrJk89ofVaOsgv4eHqmEa1i5eXy2Rl2HmT9L1NU88JHjANMZxWY7nK5sWQHhw7hZU1xMQMILKvYut4nWV734vcBMsYLWAYDGAFn6qBvhkFdOeJ6I1EPlIXb5UTLBY+EoxAZzYBdtm7dOmSabZkZ/SAczjPrnZ7/3ovfDvFyd0f9UCd0dhi7Lpz8hkyxG1T37t1D58cQLVvnMloJ4WIrXaZq8O0SDGymCbIZCoJPOAxtRrMwkomXOCFZkC3OOTK6FSdeHH30y8N4h7y3c9y94PJE3QKIFtP+XAaYM40MUXeEddnye10XcPT6Jjzfztpvv/3CDmQPPPBAmE6IDBEWR3jijKdlL345EgmWY5sw5jiyIUacbEVEq8AMGmvLgWhlKWXdem1Yn6Lvf1inB5es0PATx6lqk7b6U/VGKt+isxoOOF5tjp+obqfN0eBpF2rE9IvV9fjpqnJETx1Uq40ObdhJXfqfqNvuW67v1+UqM3ujxWuyVWDtvsiem1egjSYnRaYvikwvsKNZoRlQGEVMDWIdSFHR1jWnyIjLpsuaI57HxN978dsAAxbQ7vmECMSIES1Gw1kT7PVXWv3gvH6Jh/DPPvts+OAxRGvUqFF69dVXt7kfx3FvX1J28DYWRr+NtNh/WfMtwU+BcOUVbVSGkaB1aVn68Mtvdet9D2rAcSepUu1GqlCnqeq366mWfUao56jxGjhutnqfMk3tjz1NrQYfr5pHdddfazbUgbUaqOOAYbryljv17mdfKsP0QYbphQ3pGcrNY21njtIzMpWdzfrxTKWnpykjMyUgKyvN/KN15lHfQr9iaWW9Z9Aj2CvIZiSjhYXRGuFk+d2L3wfYBcx44aUunCPxO1qJusPlsixdmW2GgcIiQ7y5hl22bds2ZBpjiTU9XI+Hj2d8L35/UHeJBgm/UT4QIN4aYOyOHTs2TCFk3RWki6142eiic+fOYbcoOkeMa4g2a7vY3p0RzThhYnoh0w5duXGksTAq5mQLP0bKGFED/qFkwnvDicuQ/3Y/nF/bi7JDvA6QGeqHqcJMH0YGkAfeMDGPmnojnMsX98aP+HM/gKzNmjUrjGgxKgqhRw7i9c/R4/I07MUvRyLBciQLa7VdMnHGgthfpg/mm/GRm8eOpVlGenKVk5Gu9WvXK2V9ur75bo0WLFmuEadMUI0W7XXQ4S1VoXkHVT6yqyq17KpDmnZS+cOPMoLVWgce1kyNjuytgSPH6ZKr79I/Xv9YqVmFRuZ+Un7eJhXkmRGdbwaP6ZCN9sz8nOxA7lgbxlvqAjsWmjGUnRO9xIm/zHFj3nWcy92WfJXIoMvSXv1R9nBHm/Y64tuNbF7xl7/8JfQz7BaIf2J9xe/nnHr1/oHwzz33XJiCyCZOxxxzTBgpi+sJjyte53tRdjDuwlJKFRogWliDG80/r3ijEaJMfb9mvb5fm6L3Pvlc19x6p/oMO041mx6pcjUaaP/D6qtKo9aq17abKjZurQp2XqVJW1VvdpSqNWmtDn0Hh10LX33vQ61Jy9SGrGwjb7nKsrafk5er7NxsZRqZyjC7IzMrw/RDhrKy0wwpyslNj36bf/QyNxrBYlMdU23hpU34belk0wyIVkFBnqV+W1nci10Pb9uA9hpv/34NP2xH9gPA1oh/R8vbttsLiXGVpStzosWUH9gl08YgWuecc85eorWHweuSTgvCAwGCaFGPbJs7f/78MP+db2MxB57OjG10WZPXpk0bDRs2TGeddVaY7kXHCUnCSCYulBlHP6eDxSDiGRAwnumdphMurnM/aaITxT+xoZBu/ByJedqLXQ9cvKw5p/7iRIu3TCi+0oiWnwPqHHkAxDF16tQwolW1alU98sgjQRaof+7xe/3c07AXvxzJSBZIFtZK+mdEi6mD2TlZ1oZTjfgY+TEClJmaprQNaVqzdoPeePdDLVr2hGaef6l6HDNaddt3VbmGLXRww5aqhNHU4EjVbdZJbboM1qSZ5+vOBUv1+juf6rvV6UrJMB3B2izWYJm1lme6oNAMHZ6Tn5dl5CqaApSbb8dCI3nmn5K6IXS+ubnRGlCAzoh0SzQlmXUZUS62RbQQ/udG/V6UDXC0aSdTTEdnO/Z99tknrO1lEwu/llgn7vBHd6ALqFvAiNbgwYND/8RUxL1E6/eFFXcgWkUB1geYX7Eh3+qNtVQbjCClZeUoMy9f7378qe66/yHTBfPUbcBQ1TviSFWscbj2r1LTiFc91Wh2pJp17qk+I0ZpwuyzdMu9D+hf7/xbq1PStd5I2+oNKUrNyFSW6aHsPLM10A1FecozPZGZk27kK125ealGtNYrLz9dhUW8kInWl+fZ88P6zuKfwrqufKY25ti95o/uiHYhpB/bKzNlDZyf017j7d+v4fd/kmix4xyZZnQDooVRXhrRcucFsBe/L6gTr0fgpAYD10kQhIjpHA8++KDOPvvsMMLFYuOTTz5ZU6ZMCdMEH3300dBB8g0UiDdEiTiIy0kVxIkRKxoJYRjBYF4tU0/Z0RA/wLocvx+DiQ6VNJJed572RMTzthe7Hrh4OXOOzFCXrNOEaDG6ieKjXpEpwnGkDgnP0REnWoyCspnKX//612AssQELckD83B+/d29d/2dIRrJAsrBW0ltoCee+82CWEa1UIzjZmWbEZGYY0UpV2voN1oZTtNYI149mBL3+0ae697GVmn3plRo5fooGnThWw048XSeOn6HzLrlODy5+XC+/8p4++fwHM5RylZKWpTXrefOcZ4ZRQdhCPivb4s5K1Zp132vd+h+0eu23+uLrT/TFN5+aofWD0nPSzLjKVKaFy8hIN6SZ7sgy3ZNnssNoB2DnyiLLD3pkK8gRgGixE9leuSp74Gj3gPJmTRbtnhEtdAdrq+h3krVzd5y7TokTLdYGs6b4uOOOC9vGu96Ix7FXf/w2sCLWJtMpxZAspuYxnRDdsbHYCFCBtdccff/DaiNc6UrNzNZ3q9fqzXf/rcXLVurMcy9U+87d9cd99leV2nV1zJhTddn1N2rJyif01gefaG1qhnIKigJRQ9ekZpguSs9QuumioAdMJ2xIX6fvTVd8+e0n+uzL9/XFl+/pux8+MR3zvbJzUpWTy+yZzJI+BsK+SWwLX1AQrc/Kz6dfyg8baDAeF5GtvXJTlvC2DWij8Xbq1/D7P0u0GMno0KFDyDQjG3zdnWvx8PGMegHsxe8HOjqMWI7eaVFHHPGj84IYuaHLaBSjXE6GGLXiiB+kDOHH4GZkAj+/zsgG/kwx/fzzz0MHyEYZTA1jauKiRYsCUWMxM1vLcz/PBDyfuDHESZvDG5Sn2ZEsn3ux64CjzDn3MkdWqONbbrklEC1GOfmW3vaIlh9dBpE1iBbkHaLF9zFWrlwZiLrLH/Fwj9/vadqLX45kJAtsE8YcRyvpbYgWBhNEK6+A3QYzlZFuBCtlvdI3AGv3qYxm5yqvsFhr0jP11dp1+sb0wNepafpy7Xp98t0P+vxrI0xrLFxWYTBuNqRkaN2G9HBcb4bTWiNsKWkpKizKV25+lj0rS+99/Jaee+kpLXrkPl1/65W6/rartPCRe/TM3x/XOx+9qa+//cJk7nvrj9aZLkInMTWIqcq8sUaG0HUY5Yx08baa9Rn0URHZisjXXrkqS3i7pU37SzRe4kG0/vznP4cXtYxE+QyGxHaO83jQAx4X+oOpg8ysYKYFa4aTES1csnj3Ytcj1BEII8Zb7cUtOt90SLH9Zk3Vhg2pWmO6Yb0d165P0auvv6k5c+epStVqatm6jW698y59+sVXWmcEKzuPHU83KceOKfZ73fpUbTDdsm79OiNb1u5z0rUm5Ue98d6/tOKppXpwyT26e8GNWrDwZj22/H4989wyvfbG3/XNt5+bnop2UUZfZWbmKDODl8Pohcg+ysvLtmflWn5Mjn7yFzV7ZaesgPPzxHbq1/D7P0O0cJ4hX8vTqVOnYCDNmzdvh0QL54WwF78PqA8XTIf7oWTovHxUyTszyFYcvA2KFFV2IFVsaAChQib4zUiVj1yx6Jltv0eOHBl2p2PUgoXLPhURvxEjRoRdK3k7ieFNHNHw/taNMUgHcAPc5Wsvyh64uJxwpA6oZzbEYf1e/Ft61Bf3EcbDezx+L/7UJQSbRez77rtveLPNZivc72G4L/5cT9Ne/HIkEizHNmHMcbSS3kK2OGI48WYaI4kRJ9pmNtN20hjZylJBrumGYLhkm2GUrnWZGUovLFCGGVYZpkv4qGhRkdV53kZlppohk1sYNtJYa4ZWrt2bk5tjxpbpkLQNWp+yRh99/oEeWHy/xk4+Re27t1b1BlV08GHlVKVuRdVrXl0tOjTS4GP66uJLzzdyvlyfffaJxbVa69evDYQrN5d1fhB2djllwx2mMaNTmJbKC5ytZCvkMFYGe7Fr4e2WPoU+A9l57733thAtRqP+/ve/B//S2jl+Dn6jO8ALL7yg4cOHB6JV2ogWLn7vXpQdoil3ETEJbctIyuZNps+LC1Vs7Y62V2z1hg2RbXqDOi8yfc+mNp999pnOPutsHXTgQWrbpq0WP7xYa1av0TrTEammU5jal5OTr8ysHKWlZwaCtm7DOn3z3Zf656t/1813XqfRp45U8zYNVbVGRVWuVl416xys+g0qq3nLuho6rLcuu/x8/e3FZ8PLGeSRTTPQQWlpGfY7GgXPyc1QfkGWqcYiywN92V6iVZbA+XliO/Vr+P2fJFoYw4xKsDkCROuMM84IU8i4hotnOO7cby9+H1B/Tl7coHXwGzIDiYoDZQg49/sgY4xeMT0QhcU1ZILGgL+v84KAt2/fPmx0wAdpfWMN1njRObIuh/U9TEGlo+SDtXwLhdGSoIRNKcfJHuekNS5fe1H2cGUGKHuOEGzqi/qkXneWaLkf4SDWbKYC0WKtBm+o/TmA+wjrcezFr0ciwXJsE8YcRyvtAHyA7z5YbIaUTwcqyC8wcpWjwpxcbco3Q8p+59p5lpGmzPxcZeRHx9wwklSszWZMFWcbQduQrmwzbNJMX6Rs2BDWY+UX5Ck9M03rjGQ9++JTmn/Rmeo9qIcOb1FXVeseoir1DlbNpoeqXsvqqnlEJVVrUF61GlVV0+aNdMwxI3T99dfqlVf+EQwoiFZmJm+tmR7ECAqbMKA/eHMd+e0lWr8dvO3SR/jGRxCtiRMn6k9/+lPoAyBMGN/e1hPbe6I//QIyBUHjJR59CWu0Xn755Z/1D7j4vXtRVqCMTfdvNoLiU3QhKegMJ1qFpjNMR0Cyck130Pb5nWsy8flnn+iC889VxfLldWSLFlr68MNKX5+i7PQMFeYWaBMbVhQUKTODF7zpRrTW67MvPtXylUs198zp6tq7vQ5vWl3V6hyiytUPVPW65VX38INVrcZ+qlD5zzqsRnm1PaqZRp0wMuiLt99+O0x5Tklhhk70cjfXdERefqYKi7JNNZqe+InPjOwlWmUJnJ8ntlO/ht//SaJFph966CF16dIlEK25c+cGooXyw8UzHHfutxe/D6gffxvonRV1Sn153eLnRjLgt48o+TXIFR0j5Icw/IZoAQzwv/3tb4FkQaDoBNmdEiJ15plnhi9687G5adOmhekebM/bwhQro1y9e/feMrpF/DyPuJ1ocR5vUHE524uyA2XuoMwBo5h33HHHFqLlHy2nzvwely2HyxjnhINosWsYRKtZs2ZBbrjXZY9zv9fTshe/DnFyFcc2YdDRBivtAM7Db7sGwSoK6y0Y2bJ65PtVhUXayDeuAC9BikxHbCqyMNZmi63NFptxtTHyZ6v2zbl52piXr5z0dDOuMpRhpIhpiLl5rLdYr1ff+Kdmzpuuxq0ahBGshq3rqVP/tho4qpeOPX2whp/aV92Ht1Wbno3UrN3hqlW3mvU/1dWjR1fTGxfopZdfNBn8NqzZglxBsiKUvE23c6YTsjYrvl4rXgZ7sWvhbRfdDclCr7NGi7W+jGhVqlQp6HuueVtPbO+uR/xI38U5I1gQLPoYCBdEC70Svx+XGN9elAWsjFnbFIiWHX/aGAHyZToBsgWKmMbLN61MHxSxi6jJQ352lr741IjWufNVsdyBat+yhVYuWayctHQVZmWrGKLFGipGtNKzjLBnmZ2xRo8/uUKTp41X8yMbqWrNg9W4ZW31GHCUhhzbXced2EejTuqrEcd0U4/erdW6zeGq3+Aw1axVRZ27dND5RupYtsAymGi5ArsUpofRrOJNRvp/ytfGTXmWr73rtMoSOD+nnSa2Xff/P0m0GLVgvU3Xrl0D0ZozZ85eorUHwOvPwW+vK45xgY3/dj9+08nxdhI/79Q40pHyVoj595ApvsfF/HvIE5tnMC2MRc8ffPBBAFv6Pv/883r44YeD/LDNL2QLcsaaP6YeOiH0kbW9ROv3gcuA1zdg3R7b+u8M0eIIuOZGEud8e2/AgAGBaEG2eUPNvX6PP///Rj2Xrh+TkaI4rHS2kqMk14HHkYhtwqCjDVviiv2Opg9a+9/I7oAldbvJrhg2FVidFhbYebEZJ6zDMHJjBtemYKRYe2XTCat3FfDxYTO4WYuVb0Z3DptZpCgvP0vffv+1rr/5GjU/qqn2rfAn1W1eQydMHKEzLpui826YpUtvP1MX3DxLsy4bq4nzR2nMlBHqO7SbmjQ/XIfVqqr2ndrq3PPn67U3/qXMLDPQzKCLPlQaES4nV4xmRZtgbB3VipfBfwMgxlvqMOEaKF0GKItdWx7edn1mAsdPP/1UM2bMCGsz+X4ea3XpOwjriMfhOj/InB2Jg/NXXnklvMBj+iEj40604roDF4/rvw3xqrSf21wLX/ZOgrKo5xA3RGtTYcBPpgMgWIF4hZGuEj1AO7RzdMVmXnrwEsaI11effarzzj5TFQ7cT0c1P0LLH1pkRCtNm63PZzR880brMwqKlZ/HOvIsvf/vd3XuBWerZdumqlKrvFp1aKCTxg3V/Esn6Yqb5ura2+bpxjvn67rbztKFl0/TtDknGenqqYZNaqhC5QN1RPOGuv3OW/XFl58Zyc9Qdm6G0jLWKyc3zXRYRLQY1dpLtMoW8faZ2Pb9Gn7/J4iWJ9wzFSdaKLnZs2eHTQ+45hmMZ9jP90TE0+8ufi0O949fi/uBuIv7e9hEgXGU5hLD7Qw8bYnP4Xe8Dr2+49fpyCA++LvRzBF/3g4tWbIkvF1kzQ1TS2+99dYgG4x0sY6LtT10qpwTHn86zAsvvDCQLN5wduvWLUxN5U0T8TvR8g7W0xZP+54Grzsva5B43V3cP474tdLiiP9OvL6zcNLkRgxH6g2i5d/S46PlTo55DmE8TdwP8HN/joTv27dvMLggbHww258H/Pl7al07U4n7BaPI9P8mO4YxlXB9S9AI7hezon5C7jdiqJR0/CWm9EYjD3YlwGpJGzFomO7C9RKDKqybII6SNPwaBOPd4mBXsY2kxTKBP2nDCNpMvVra2FI9jBp5OuzZZBhC9pMZTBvz85RrRAhyFbZtN2TnZeiFl5/T0OMGq1Lt8qpc70AdO36gLrp1tq64b66uXDhH1yyy44OzddnC6br8/pm65K4Zmn3xaTrmtP5q0KqmKtUsr869Ouju++/Ud6u/U15hnsVrZM5QVFxg5W2yawYfRBBsxoAKZZiQT0ur5y3kL9THtmF+K3ha4tg2TExWSmDVYbmSyUL0DSPqC//gOAICYRjHEe5CImlrPCfZ87YCl8w/ER4H7R39TbvmpSyzG2j3Bx98cJhmzoiW6/ZkcYC4HuE3m2iccMIJYUSLTTHQH37N44m7xHh/b1DmXtZxxNMfwhHU4dWFtyGqMQPn5m+3ldzDSTSitAX8LkF8ShzOn+XPjsOvbR88j7YO2YpGsaIRLl5w+PPsuoGXHJCt8MKDTWuMbH3z5ee68LxztP9f/6xWRzTW0sWLlJGy3pIKQaPuI7DWc7X1PQ8/skh9BvbQoXUOUbN2dXTq1GG69q55umvJ+bpnKThX9y47XwuWX6R7Hr1IN903XxdcNVljJw9XrcMPVrlKf9bwYwdo5ZOPakPqj0rP2qD1aatNZ6SpcKPJogpUvJnpg+ixX1Meuyc8L/YrEif8Qr64vlUOonO7jn4H3Id/yX0hrliZhDjDfRHc+W+/nsxvZwDnuO+++7YQLZYqsEQFfZDs+Y6ydGVCtDxDKEMyjUHN1EFGIfjoKG+pcK4sQfx3YgHsKfC8cO4u7h9HafeV5u9xxcuMjgLE/TxsMufx7irEn5nsGukifciDEx+f2vfRRx+Fj1ezyQUNYubMmeGbKUwXgTRxxECnU2XqGVMN8fPt5PkeW926dUNDYje6Tz75JDwLogW8XEgLx7LIf1kjXp9xv8QyjzsPE78eD+PX42Hc+e9kYXYW1DXl7UYO9Q5h5qPlfEuP+qLu2BDHZQLCxb08j99+P0f8OOeNVK9evcL3dCDZvJH2azzH7+d3Yl72BEQ9UjzddGyRURQMYUMwkAhj51zDBZsl2C1WV0ZiMDZ+gmQBjBSMFrO4+FdshgAEy0rVzq1tYsBg2NhvayUhLB/hdKPqPwF1AeJ+JJp0bi6p40RAtALJIwzTDc2oKgzfu8kyMpSt/I15+nbtt7rmlqtVr3ltVa5fTq16Hq75N0zS1Q/O0UX3nq7LHhynKxZP0MWLxuoiw5WPTNF1S2frwrsnafaVJ6v38Uep+hEVVK1RZU2cM0Ev/utFrc9IVXa+kbjcLBUW5xsBLVTRpnwzovJUvMlkNJQYZRSvn5/nMdRH7PpvCU9LHNuGIW3bIsiXpdlMXJMHOzc5crmKMmvAw+IKcGELd0Vwozj5Mz0ynretfzL4/bRhB3rivPPOC+3+oIMO0vLly8O6X64R3h33ucMfneB9AL/RFyeeeGIgWnxPixFxj8OfG3eept0Flis7bi3vZOW+xXEa3QJXiY72m1P0CHVtPMTKxvypX9MBEekpsgvRKJOPLgXyE8DziDRynPuz4/D07giRLJGAn+fJQcJ9RNl3BmVK4bfffKWLL75Af/7T/6h5i8Z6bNkSbUhZa/LLKPom5RvByi/aHHYgfO/DDzT/wvmq27SmajWppGFjuuqSm6do4aoLde/Ks3Tnspm67bFpumXpVN2+fKbuWXW27nzsbN384Dxdf/c8DTjmKNVocJBqNqigM86dqrf//S+tXv+NVqd8ZzojzXRStpVpgYqMaKFL/Zt7v6ZMdjeQdnaGpNYBMxU2WQfENRwHuxyOfh7IGLA7CAUSyWe8TOLOn+nX3bm/37M94OJEi1l0iUQr2X2gLF2ZEy0MY4gWI1oQLQzqHREtXGIh7AnwvHDuzv3jfsmcx+HhOFIeiWVC2XJ0P4xU/Dzsjpw/Y1cgnt9k10iPd3g+esGRjpI1Nnxvi46PUSnW8bFBAsQKQJYgXIxmMaqFHPmGGlx/8cUXwxf+fUdCtoBnyJjrgGfG07ar8/5bI5nDP7H8S6uPuOO3h4u7eHiulxbX9uDyikxSB3GiBUH6pUQLf85RlD169Ajf0+nYsWNYcxF/Tvz+xLzsKcCoDUfSXwJaeSBa9iPAPAhSbCccN0Gw6PwCObE2ZuRERpbckGGkiBGjjSUkKxAsO5qGtr92D0e7Fk3do7x/eZ0nA3UBkvl7HXuYZAiyw6J4Iz4FxbnKyE1TWk6a/vXOKzp18smqVKe8ajWvpJET++gaM4quXDRVFy88VVc9erquWzVRVyw7TRctOUmXLR2rqx6brPPvOU3n3zlB484dqaMGNFXF+gepY/8Ouumum/T5t18oJ3zkOEsFRblmrEUkKyJdlBZlVVInCXkB/hsXv/5bIl52iemKQNq2RSDuluZA4ksQ3kQjh8EADx4WwK7QrizOLQay3WUt0+KJjOLkzySCyCX6J4Pf7+3f2/35558f2j1Ei+/nJRItv98d58gPIBzxoS/ob2rWrBmIFv1HXG/E78d5nLsL0ARe1nF4uW/jCB7dEqoKEKTYUGgosmuBaFndbuZkYwnJ2oIC8+OILoFwWT2XPMfLys8TkZju0pE8P3GQAX9ZBOECkK1vv/3aiNaF+tOfjWi1NKK1wohW6vpo453iTcor3KTcgk1an5app194XiecMkpVah+sVl3qa8Z5J+j2JfO16Onzde+q2bpz+WTdvnKiblkxXrcsn6S7Hp+lu1acobuMbN3+8Hydf9V4Hdm1jirX3Eede7bS/Q/frq9++MiI1rfKzE8NRMs0lbUdS99/I9GinkrEaVPws3N+4GdHEPfDcQq4k/uDTikFccfveJm5c3+/Z0fwqYNsngbR4nMyTrSShXeUpSsTouWdKEeMY4xgjGmI1vTp0/Xxxx+HsPHONv4bl1gIewpcINy5XzyvHiZ+D/BOIdm1+P0ehnOO3OcdD7935Dzu/xSentKukU6MaOBpJp0QJ7b8h3xDtMaNGxdGs3yxKSNXkCVGvvCjY4VcQbo40kGyOQIfweWtBTsVslaLaYcQNAx4Lw/gLjGNuzs8zV6Wnh8Hfg6XHfzjcXg4v8f94jLj/rsC/ixPE3XPyOTdd9+900TLjwB/4mEKEaPiGFzoEqaQEi4xH9zj5bYngbT7eUh/Ceikio1EgWgqXhSOj2ZyDHk3PwzizXbOaJZ5mGFEOVrZmKHEJhOFm+34U7EKzHgqsHNGtwKMSHAdYMhERs7P0/dL4fWRzN/r1sPEgT95QjbCDoBGgPILs5WelaKUzA1a8dQyde7TUYfUPlBt+zTROTdO0c2PztclC8bp0kWn6vIlY4xknazLl4/RxY+eoIseGa2LF5+iSx4Yp8sfmKZL7pmhYyb2DaNa1RtV1bR5U/XG+28o156RV5AdiJajMEwjtLRaPVjJRnWSkBfgv3Hx678l4mWYmK5tw0WGEUBsfJQUI2qjeYb2ZPqVEcUQAKJlxmtEthj5QD62wmrMgmyty8TnuUv03x6IBzlAzzOSzaZHTrSwJegDvM3H43bHOdedaAGmDjrRGjRoUHjRFydaHpc7j3N3gRW8Hbct+1D+JWmPhyUr8OE40UItFm38SQVWhSBUr1X8JkbBi41MMZJlCOulivK1OaAg6JOwTgqDueRZcSS25Xg6to/k+UmE6yR0GeD3t99+s4VotWjZVMuWPxK+kVVYXKj8AtNxfEcrv0jffL9a9z24UN36dlGlGgeo94i2uvTmaUaiztF9j8/TPaum694np+iepybrtlXjdKuRrTvN7+6Vc3TfynN072Pn66HHr9WwEzupZoODjGwdoHMvnqvPvvm3UrPXKrsw0/RpnlGsItMPez7RSkw3I4RMNw8jVCZLyAtH+7kF0XRBjn4egwUIRMsu+jMSXdw/noZ4WPf3sNsD4UojWshpsnscZel2OdHCecNDwUG0eAvF22iIFjvIsZMQGfPC44jj6OfxAtjd4Y5zz5M7zimPyHBgR6tojVIiKCtXWt5JuD9H7nfDlKP7cd3JjIf3dCXCXbJrvwZeX6Vdi6cVP88f0wDZ9IKRqCZNmmxZrMimCQz7QrQgWRz5jQxxpAHRyXIN0sX0DzbQYK0WbynpTCFlPqJFWWyvPPYE4Cgz6tfLhCN5dJngHILpfnEZ49z9vUw4Jvp53ZRWnzsLj4OjPwuidc8994Tt+3dEtLgnfr/HySg4RI3dx6jzV199Nfg7PN0ccZ6ePQWe/pD2GJi6UVCEAYHusDZfELV5NzYLC0s2fTGjmHVPbpCEb9IY6PwZzYJkQbby2OXPUZxvBAMyY8QibK3OqPP2O6OdBfnxPCX6J9YbR/IA4jLLN66yczLMaMoMHxpNNaK14KF71LBVfVWpf7D6n9BJ1z90rq5fMlfn32vkaskpumDRsTpv0QhdtPRYXbJilB2P0wUPjdIVD4/XpfdP0nUPzdOk847XEZ3qqIIZTsedMlLPvfSsMnLSSsiVtS07sh4Mwy0YCqEekKlt5Soxj7j49d8SnpY4kl+nPVHmEdgVssiIFN8oKqTc800v5JkssBmJWeNMR91caPrbZC8Y3SUyFoxfDOESJHsmcJfoXxo8HmQCWWBtJlN/nGix3psXdUHmLVw8bj/HxeWJI30DU8whWuxey+ZKrnf8uXHn/rsLYE1xAuLw8vIy22j1xfqkMMXLyFUgWwZr1lZPRrbsT2ERerbkPtoh6yELrM7zc7XRUMxaxdwsFeXlqNj0wib0AuFKZCb+PIf7JUt7ciTPTyLiRMt/+4jWH//0v2rZKiJa6Zmp1m5NpxnByjcmmZVboI8++1xXXneVjmjTSFXrHqTjx/XVzQ+cqdsfOUO3PTpFd62YaERrou55eoLueGKsbl91uu5cOdn8Z+i+FWfq3mXn6rHnbtS0s45T86Nq6IAKf9LYSSfpnQ9fU3ZBuvI35hrFsv4W/BRt6OPlEEfy/O8+iKc1XqcBkC3z93VvgZyXINGv2PSIg9+BoBkimdz6Ijju/Pnxc8C5O/fnuCMQDjsRe+O/nmh5YVG4jFAwr5r1FRAttmplJzkPQwY5xu/DJRbC7gx3yfzID+WAgewkASMCxI1jOgS/lw6Aa4BzQBgPxz10NggO8RLOCYaXoSNZmuJ+/wmSPSN+jfSRdvKPnxtRTBFkOgg70LFuh28sYXjTQJAXiBVlRd6cbEGsyCPlRziOrPM67bTTwne3IG0rVqwI1ygPLysv19LSuTuDNOMoR/JEOTDCx9HliDKJT63kHD8vO+C/Ce91QHzE4eUUV4T+fFw8PTsCzu/3+ideCDRvmH4p0SJdOM55OdO6devwPR0MJb6h5mEd8XT4+Z6A8ObPqpqUA59ugSOPeXm5Vq+ZyrG6zcrMCN+SSUvdYHWabXWbZfWaF61nMqOIc9+enO3TiwyMYuUbsco1YgXB4phl5CqT71jlGJmxYz6GlpV3vBz/EyTWSdyf+nSQP57rcF2HvGZnZwWilWtEi9GmDelrdf2t1+rQupVUreEhGjG2l65ddLauWTxD5993oi5fOkYXLD5a5zw0WBc8NlyXPnGcLnt8lC59bLQufehknXfXGF39wEzNvnyMOg5opkNq7qe+w3po8bJFWpuyOoFoMXWQjTos3dQJ9WMniXmJ5xEXv/5bwtMSR+L1eJl7uUd6oERPmFzlZJneNRTkYHDnmwHOTm/WTguZlmrEnV0kQ7uzuExOHcmeCdwl+pcGjweQPnYbveKKK8ILlgMPPDBMMaePIB/x5/kz8MPFZYtzPoh/yimnBKLF7qV8h49ruPh97jze3QWmWe34cyLiZeV5DS9jjBi7scutZC0YwybLkJDsHD62i67ghYa1tewcZVi/mZGyQdnpacrJSA9HPjTONch3MWQsGNU/b78cPR3J0p4cyfMTB+SKqYIcIViA399881X4RMMf/xiNaC19bLH1fUa0TIflW57IY2ZOnt7+9/uad94Zql6/kmo1PkSTzzpWC5ZfqLsfm6s7lkKoxumOFScbwTpJtz8xxsjWqbpz1Xjzn6x7V8zRPcvO0j2PnKerb52lTj0aqVzFP2rQsJ565oUVys5PV8HGvDCSxT9eZMXbQRzJ87/7gDTG69PBb65T78iTkyr/jZwxs4JjUREv/JHBKFwcyJjbZMRLnO78+fFzLzN37s9xRyDNvMhPRrT82aWhLF2ZEi0aPkpx5cqV6tOnTyBakyZNCh8h9MZJBjnG78MlFsLujLhL9CM/VDDEASOYDg0Dl2Po3ErIA0awC7t3DvF4OMef8JQpxjb3QyzYLAIigjATzuPx8kxMk//+T5EYf+I10uANlt9u4DPFjw9XY3RDtNhtkIZA/igLny5IWEA+nYBxpBxptBA2dqRi218a1P333x9GTwjPfTwv/vxk6dxdQXpJO0dAuaBAqGvqHHkhf06yuAacbLm8UV4OysUNWeID/AYuc15O7hLTtT3g/H5PN3mgPlmc2qFDh19MtPDHj6mlfD/rj3/8Y9g17I033gjX/TmJaee4pyBOtCwHdm75KckLo1T5edbmM8wAyjbZz0wP35Pid7ods80vN9+MoaJ85eRBmqxtbLQOzWJi2ke+kYXM/GylGynLsOs5RsJAphnX6UZkMiAzgWhFI2OJafu18HpJ5k9dAZ5HHTpcNpFtZBWiFchkrpHM3AytXve9Lrn6Ih182IHhY8SjpgzQjUvm69pHpuvChSfq4iWjdMnyY3XxihG6YPlQXbBiiC5/6lhd89TJRrTs+j0n6ZoHp2v+dWPVe2QbVai9r9r3PFJ3LLhV363+ZgvRYo0Wb8cLzXDYGN7MRjPnLPk/y0s8j7+n3Hla4tj22lYjysubss41PQt5z7D+JCMtXZmGHAzszCzlGeHKN0O7yAhXoRnbRWYwRQZ3pFP5XtquJFo44iYeb/98BoJPgPiIFlPO0XGJz8Jx5D4/uowRls+FnHrqqWGqer9+/cL3uJA3v48wfr47ImiGBCISkZGo3L0+862eIBtxsuVGcW5eodIzcrQhxXRHBh/dtXZmyMzKMfshzZCqtFT0CrNIrM+wMFl2LddIGfdHo1mRPo6DcvZ0JEt7ciTPTxxOtJxgbdpEP1UYiNaFF56vPxjRat6iqRYvecjSy2camM1h+tLyn2Fy+8a7b2rGGVNVpfZBatCqimadP0oLVpxvRGuW7lk5Rfc8Pl53rByj21Ycr9tWjdYdT47RnY+fpntWTTliBkUAAP/0SURBVNF9K2frvuVn6do7p+nexZeoz5BWqlL9L+rYrbkefPhuZeWlK684N5oyaHVjKdwjiZan0duK6wbAb+rb5SdOoijnQNJz80xPY29FZR9GsqwpRQQLe4419TnBnkOvEyfPdedpiJ97mblzf447AvlwosVu1rxYYUQce4M8bS+esnRlTrQw9latWhW2Zq5WrVr4yvu7775bUolRpjnG78MlFsLujLiL+3Gk4ikHBI2ycAPXCZOTB35jXHANgYwD0oA/14lj9erVYYMBiAYEi84IgkE4nheHl3E8nf77P4XXV2nXPO8OftO5ffbZZ+EjxewayJbft912W8gT18kDZeJ5J89eBoyMEM6JBHm+8sorw9RBtg3no7iUhZejP5NjaencnUGa3VEGPqLlI3r4UQ74IweAa8gTZUQ58ht/lA9+Xq7c58qPDgrEyynuEtNVGnB+P0dA+ZPmBQsW/GKi5f74oTMaN24ciBafBODbap5eD+9pwHG+JwFjPsz0sSNbokO0MK6Y81NckK/crAwV5mQpPyczGs2y8w0b1ivLyEgYlWIrdCMH2QV5RqhylGbkKd2QRV0b8cqGcNn1DAuXYbKTaciwdoJBkmX35xjxYuqYE7z/FF4vyfypKwd1Sz3GERmMvGBhBkBOGNVKz0zRj2u/06VGtA6q8lfVbFpRx0/upztWXKirHpocpg1evHikLl1ueHykkazBOndZf124coiuWHW8rnrkZF23eIKuf3iGLrhlvAac0F6V6++vlh2b6Ppbr9ZX330RRs2KN5oxEAw6XkBg6KHD98wRrWi9CO0JAwjDKTJYMVYZ9QSQeLbQz0oz8p6aoiw+Cm3EK8eQmZ5m5CtVeeiJQLa4jzqyOsPg4u22AZnxZyamy12ifzLgkAeXDdo/fRzTzBnRgmjxMg19x3Xu8efi+I0/v/1IfPgzAs7sB4gWL335Hhdy5vfF49gdgS5ITkai/G/ctDGMwOZbnvKsniAbBWYcA35n55jdYcesbGv7WblhR77cQkZ+8rUuLUM/rk/V6g2p+mFditZsSNP61IwIKbzEw0YxYzoP2dlKsGirfu7lnSztyZE8P4lAbp1wObZshvGnP6h58yO0aNEDQSaQF9awkucM049vvPuGZs6bqhqHV1DjNlU19azhuuPhubpr6XTdu3Ky7l5ppOqJU4xcjTaiNUq3G9m6c9Upuu/JKbr/iblh+uD1d0/Xgkcu1eCR7VSt9n5q3a6B7lt4m/IKzWbLN3uuKF98GqHQyn9PI1qePuoOeJ0CyjK0dZORvFyTH5MbyFSYXlyEjJl+zs81og6QrfwgewV2HVJG2LzcAuXYfdlZW20NnsGz3SWWUfy3O/f3MNsD4bB54kSL73ayxps8bS+esnRlRrSoOCoMoy9OtMaPH6933nknFLhnmqPf5+eJhbA7I+7ifhxdgBE0jFtIgBOmuBGMosB4xh9Cwdx0psaxlTlHDFPIFeXJdAr3+/HHHwPhwJjlXjdeHV7G8XT67/8UXl+lXeP5pAfQyDw8Qo+xzUYWrLuhUZBnyijeIJ0QeJlRVpQBR/zZEOOWW25RuXLlVL9+/XBO2VCOGGrIH2lwg31PhDvKkPr1kSvkwEkWdY8MUDYcKUtGvoD7c05YJ6FOxpywAS+v+HNxiWkqDTiXBz8SH/UF0WK3wF9LtN5+++0wFQCixYdH+e2KM36fO+7bUxDmsVvxxYlWlBf7YcYG347JN0IFycrLNuNnPZ89yNL3q3/Uhox0rTYD+UcziL+34yfff6fXPvhAf3/jDf3rvff0KS9hrJ5TrJ43WNtal2EEzTq+jFzTNWY8Q7TSTRYyshgZYztzK8dgBCVP687C6yWZP3UbB3UXB3KIPDKlLb+AUf9Mpaav15r1P+qK6y7RfhX+ZCTpQA08qaNuW3aeLrl/nG5YNVGXLT1ely47WpeuGq6LHx+qC1cN0vnLBujCR4fruuVjdcvyabp20VSdf/PpRrTa6dDDD1CztvUtzov1+dcfbyFakWFn6SiyPqwI+WPqFTK1rVwl5vH3lDtPy7aISNZWorUtySoqYuqwEa1sRrPWKXXDGiPx64xgpQSkpqy3tmt6uUQH5+fxUiaaJhQnWmHUr+SZielyl+hfGlwHAdo3/dv111+/hWihR+g3uU54f64/w+8F+Hs4RsDHjh0bvuXJGs+nn3466B+/L1nadyeYZrDjVgLi8Pxj5Idd9wqLAqHKzY/WKzFilZWdq3Rr85k5uUozkrUhPUtrjDx9s2a9/v35V3rl3ff10pvv2vEDvfvZV/rkmx/01eoN+nr1en31/Rp9/e1qI7zrlLIh3dpirtXRVoPc26yXd7K0J0fy/CTC5TeRaF1yyUUmE38MRGvhwgXWt6Vpo6WLERjKIMuI1tvvv6nZZ01TrYYV1ah1JU2YM0i3LZqtBSvn6N5VU3Tb0pN0x/ITddcTo3XHEyfo1pVGtlaebERrqh546gwtWHamblt4hu5adL4GH91elavtq6Yt6uqeBbcpvyhHmaaLM+05EK2i8FLD2922SJ7/3x+ePuourntpd5HNxoh3vjIzsq3NZViZmq6wPiI7L8f6DdPJWWnKzLV+w3R0dkGOsnJNxkxXgGyTs5xsI19GtnJNZrAzvL+PO39+Ypo4d+f+HmZ7IFwi0br44ou3EK34sxJRlm6XEy0STGapNDKGcccaLYgWUwdRdm+++eaWcBwTM+/x/LeA/NFRMcJAeUAmEDwMZoxQDF6IFW/p2QqfOaV8b2zChAk6/fTTNXny5PAtEaZfsVYFMsGoEBtIYEQjWMRB/BjfNJa4YHp9xP1+K5AWjHpXyqSBNDPvvlGjRmratGl4Y8lIFYSBckJuCE9+AHkjj5QdvwlHPnnbybAwH7JkRIud7fBz0pCIZOnb3UGZ4Zxkef6dWCM/jOJRfkzJZIoMC72ZrvvCCy+EN7nICuUH+UTunGw5XB4pd56X2B53Vm5wHpYjIC7SzZSfTp06BcV39tlnh7RST1znmdzD0c+5l3OO1B1tgxHQ//3f/9WYMWO2jIr7s/157tx/T4CVdiBZfN+GUmQHOMolfHDYDOTifKufrAwjW0aIjFClWXlCsiBYX1lbevGNN3Xvo4/q4ptu1tTzLtAps+bopOkzdPrcM3TBddfrgRUr9fxrr+vj777XeusA11nHmWrGV0ZuvhldRtw2pJoxZp2oEa8wOlHyZpa0xV1iun8tvK7i5w7qlPqmU47klWnDTHVKVWpmim649VodVHk/HVDtL+owsLGuf+gsXXLf6bp++URd/ugonffQIF28fJiufu44XfXsMbpohRGuR4aHEa0bH5sSiNZ5N41V72Naq2rd/dSqfUNde9Pl+vq7z1VYZEakES1ISSSXlp5oE8ewoYAld5t87C5ILMNoJIs2HGHzZtO9m3gbTXvPMgOcD/4ygp1n5bpOX331sd584x+mL57Sc88/qZdeel6vvvYPffzxv0O5s+4v0+Qv1YzZsCmLGbRMq4Rsse7HN0gIMmtH0oTz9CSmtzR4eOBygF5j6iDf0WKNFms96Qe2F288HoBDDzJ1EBuE9eJPPfVUiB/nccXPdzdYyuy4tU4dYbMC0xOQLFBoecqDbAUUG8HKCW2cFysbMrP1vbX1f771jhY8ukyX3HCzpp1zgU6ddYbGzDzDdMZczb3kKiMjS/XGJ1/pq3VpRsZS9dmX3+lrI1/r1zMrgq31I53s/TT17nUfl4HtI3l+4vAXBE62AC8KvvvuG7MfLtMf//gHNWncWHfdcYfS09LtHvqQTdGIi8nsvz98V/MvmKOGzQ9T/WYH65QpvXXTwum6//F5uv/JGbrt0ZN154oxuvfpk3X3kyfpzsfH6O7Hx+qulROjqYNLz9RN987WPYsu1MBh7VT50H3VrEU9LVh4h7UBIxy51pYKohGtoljeE/HzvEey9mtdsvgc7nbmufEwtDcH/bLbCEwbZWrgunUbQttPN3L51fdf6bV3XtPjzz6uFU+v0Av//Jve+uAtffXD10oxfZGZnWX9CS9n8lVUCA+I9Hki0eK5+JWW1l8L7A1eyGBfMrhzwQUXhBe75I3nJ7sHlKXb5UTLhYsGCFCKy5YtC/OiUXIoO5QeLt44EzOaWAh7MsgjRgPkAIPXp8Dxto4j5IkpETNmzAgL/Zs3bx42imCaA1uXIyysTxkyZEggXA8//HAwNDGwMbwhLk7geAYKkGd6OVK+OxKysgIyQJp4tssEZXDnnXdu+YAtG6Qwyhk17NzQ+Eivk1DKCzjRIBzlSePh3v333z8QNrb+ZeSGa94JgLiM7SkgzV5nOMoMUJaQLOqeMuGcrc55g8M2yEyP4ftijPqMHj1aU6dODW+EWZNAeRGHywkEmPJ2okVZ8TwvK3ekJTF9yRAP62UOqLcHH3wwEC1kmq34IX/UE9fJJ/fwfM5x/OYa8eDPyxlkBaKFDmHNlqfT4c/2+/cUWC5ErvnGDbVNy2WXL3Z4+4lpbKzBMpKVbW3826+/Dp3YW5b/94ys3v/YCjOOLlPvY0epQaeuqn5kOx1mqNmmvaq3aqMGHTobqThek846R3cuflSvvv+hvvxxndamZ2ldWqbWrE9RSmp6mFrE22+MaC930hZ3iene1eCZ1D+g/dLhp6cxep1pvwvMqMnRvQvvUs0G1VT+sL/qyJ6H65Lbp+nyBRN15UNjdeXSk3Tpo8cYsRqqS5YP19VPH69rnh6tq1aM1pWLT9FVD4zTVQsma94VJ6nr4CNUuc6+6tK7je5fdJfWp/xoxCE/EC3emlMGgUCUkKzAgA3J0v17g3LbFpGRCn5i10m29C9kHV62kaxMk59U0xvW73z0jh597AFdfd1Fmj5znI4bNVTDRw7UqJNGauLU03XZlRfr8adX6pPPPzKSa3qDqUL5bBZierWEZPnUQdIRldlW3eHpiad1e/B7ucd1Af3j1VdfrX333TcQLfRcItHCJZ77dY44X6MVJ1qudzwsLh7v7gS0gpOPOBmBaEGwijZanUC0LE85BUXKzi8ISGcUy/T7+qxsvfOp6YulyzRp3tnqd+xote41QLXbdNShLdqqetvOpjs6mQ7prc4jTtDsi6/SQ08+r9c/+Exffr9WPxrh2rCBGRHo7Kh+3HimHH95uUX52R6iFx4R0XI/iNYPP3xnMnFlGNE6onFT3X7rbUpPTTNdudkMe6ZLFobPVXz97Re6/uYrdGTHxqpWbz+NGNNB19w1RfctP0MLVs3UHY+drntWna77nxlnZMsI1uOnGvEaa/4Tdc9js3Tv0rN096JzdM8DF6tz96aqWHkfdenWRksefSAQLdZx5rPrq+WnODaqm4hk+d+RS3YPcJfsWhw782zamzvOqUfq1e2waBML6rhI3//wg9778N+6/+H7ddaFZ+uUSadq+OjhGmY644TTT9C0M6bp6puv1krTFx9//olSmHJsJDQaAY9kxe1STxdHnpeYvv8U2BsLFy4MO1pXrVo12My+GYbrmGQoS1emI1oAY44RLYgWhIEtVp1oeYHHlTPOM/7fAvKJUQkoDwgWI1hMfWNjEAxhdkJiVAZDFJLFDm187wN/1rYwbQqhYbodW5nfcMMNIQ6MZAgJBjQNJC7Q/nzK1xFPV1mDNHh6+O3GE+SJEReII/nl+Pjjjwd/OlGOlBN54wihIH80IIASgCgwHYQyYuog8+75CKWTB8qC53knsCfKVby+yBOgfKhvyoSRzZdeeimsd+ObZCiWypUrB2OCtsYmIUyVadOmjUaNGhXkjG2OIeYQVspqq1LdOnXQn+vO07Aj4OJt2nUA6UXxMXVwe0TLw3t8XCM+6pG6ZsOT//mf/wlkkim1cRkH/hsX99/dYaUdRrMKrN+DcJEDPhD6k+UfS3+TdeaF1hayIFpW5+vMqHjn40906Y23aOS4SWrWs6+qtGijQ5q1UWUznGp17a0mfYeofrc+qta6gw5tboSrfVf1OeYEXXD1Dfr76+/o27Up+nFDmtampIfF8CAnl2mk0VvHeFm6S0x3WcDlwXUFmzSwYQM7irEF/Qt/f1b9hvTUQVX+ojrNq2jaeaN0zYMzdPkDRrSWnKJrlp8c1mpd+PAwXbFilK598mRdvexk3bB0oq5aaLhvmiadfbRada2r8tX+YnH10LJVjyg9Y4M9k+nGJUTL0hAnWnveiBbpR+/ysik/ECwnWZ9/8aFWPb5UF186X8NG9lWbDk1Ut9GhqnTYgapY7QAdWruC6jSqoVYdWuiYE0fqyuuv0OvvvK60bNPNednKys0J28FvJVpRuVBvrkPiafPzHcHv4x7iIT50FTMe/vrXvwaixawF+oLS4nU59esccXs20aKAt5LnOPFwopVfZGTayFaB5Snb2o2vwcy1csy03+999rmuuu1O9Tv+RNU+sr2qmq6o1tr0cbvuqt9jkBr2HabqnfuoQsuOqtiinWq06axBY8brspvv1lsffmFEO19pGayZpH1E0zppn/Tv1JWXMy55HhJBOUd5KA1xouVEk9+rV/+ga6+92mTiL2p2RFPdcfttSt2wQRuDQU+6LE3WhtenrtXipQ+o96DOKl/1z+o2sIkuuWG87nl0nu5bMVd3PzZFdy+fqLtXjtfdT4zTnStP162PGtFaOsXCzNXC5Rfq4eVX6/JrZ6lJ8+o6sNwfdMxxQ/S3F58xXcTot5ESK4PwDTp0hZVBIpLnfVu96i4xTLK43CWGTUTifcmQeJ32QJ1iW2ETUJasu1q3Yb2efPYpnXfxeerSp6uqN6yhynUrq3K9yqpYp2I41mtRT606t9aw44fpmpuu1RvvvKmU9LSwfstf5MbbG+c7St+vAfFhbzBwwct3J1r/dSNanmjvrKk0jGqI1qGHHhqm/SQSLT+68zj+m4BCQtgQOjoKRiJg2UypgiQgECz2Hz58ePjWGESKkcAnnngiGKkYp3yo1Q1opmJyDeLhoxM0EsrdFZ8/Gz+vj3iayho8D4XMEZAuygFgODM1kulgEAGmh0A8KRvyQ74wxCEE/IZgcA0FwG9GdBglYXiY8mCKJcY391DGhPNOHyRL354Eyo/69bVWgAXdtCfKgLbFOjW2QGezCIgVJJ3fTNcDfPD33HPPDd8fQxlRVpQT5UXcieXlLjEtpQHnMkYcKDbiRNaRYV4YQPwghp988kl4PuFd6XIEHh9x4I8MYShB0iBa1LV/IsLDAv+Ni/vv7rDSVpElO9+MViYzkYNAtAyWKW2y/BfmmNFkcp9iJOv79al67Nm/qcuQkWYQdVQ1Q7NBR6vLaZPVa9JcDZx1jo45+xKNmHOeep06Vc37DVeVI9rq4LpN1HnAcN1834N6//NvwqhWRk6+snMLlJqWEeTAZSBelu4S0/2fIrH+3A8ZoM6DrjC5zCPvdPxmTH797Vc696KzdUi1A3VA1X00+KQOuvLembr6gclGtk7R5YtONMJ1kq5aOsYI1km6YqmdLzlNNy6drusWzdRV987S6Ml9VbtZJVWscaDGjD1BL/3zRSuDaNQMbCw2shlGtZBLSxd2LrDiSEzv74utaaLctiIyxhnJ2vxTURipKyhk98Z0ff3NZ1q85H5NnHyq2rY/QtXqHKyDjXBWqn2AajSqqMNb1lTDVrXNmKqig6rtrypmULXr0U5nXXiWXnjlRa1LX68N6SlhPQabLzBVzY1MrzNkiN+errg8bQ/xe1wXoO9uuummLVMHmQlB31BafC6n8bhwezrR4qPBXq8gIiNW7gZ2f8xhw5xCaytW9jlWB9mGDGs7uZbHb9au1Z2LHjJ9cbTK12+qgxu3VIOeA9Vh1Fj1n3qmjpl/uUaYvuhl521OGKcWI05U+ebtdHCDFuo4cITuWvSofliXFr5NxXov1uhRz3GitbN1vBWEJQ+lI0604n5r1rBu71rtu+8+RrSaGNG6VSnrN4RdMalTiBa2VmraBmvbL2j8lFNUsfr+anJkFU05Y4RuWjBb9z02X/ctm2Nka7ruXD5Z9zw+Rfc+YefLpumOR2ca0Tpbjzx5jRYtvUYnjxusWnUraP8D/6jpMybq088+tPbE5x8YObP0WX4Y4SX/cSTPd4REl3iNY7L43MXDJ0Oye5OBevP2yjl9MrYk9gW219r167Rs1XKNPnW0mrRsogMqH6D9q+6vQxtWVc1mNVSlYWVVNV1Rq3lNVapbSQdVPUgdenY0cnq5Xn3zNW1ITQnx0begH/y53vZw20vfLwV58Be7TrSweVij5XKa7D5Qlq7MiJYXHh0koxX9+/cPmebr7BAtD4PzsDi//78NCBYEgdEahBlBxuDFaGR6IMbyzJkzQ1kxLQrSwagFQoOhiqAwZZA1box8QVC4l7CEo1EgyAgSz4oLL+e/RxnzTE8LaeMckEbWl1111VVh10FGKk444YTwrRPyipKkjJxAOvEij9yPTP3jH/8IRK1ChQqBfLKujfVZNCauuxEfT0OyNO7OIM2UlecBZUX5QDjZDIJpk3xDDOMB4j179mzdddddYY0WUzH/9re/6eabbw4y4+XMSClveLjuI4cuk5Sd1xHPdJcsbcmA83ImDuKj3pFP33UQosXW/hAtOmrCuwLkHleE8bzTmSMb3MvUQTbUYbqtP8vhv3Fx/90dlmOx0XS+5deJVlhjYwYGwwUbeUubE+36lJaZYyTpK42aPEM123RWhWbt1GbkyTrh/Ks09fYHNP2eRzT17iWadtfDmnzz/Tr9itt0zNwL1XboCarcpI2qNmqp0ZNmaMVzL2lNmtV78WZlE296Rmg3nqZ4Wbrza7sKifXnftQ7MuFyEbYVLznPzMrUI48tVst2zazT30etu9XVGZefrKsXTNNVCyfokntP1BUPnqJrlozVFYtONuJ1qq5dMsmI2FRdff9snXX16eoxvLUOrr6fmrRuoEuvvEiffv6JkTiMRqa6sK4g38hWtFYrMvC2TePuA+pka71QdsgNBJG0b2S92WZGKI08bspTRuY6/e3FpzR12ji1btNElQ87UDUaHBJIZ8uuDdR9WHsNGt1LA0f1Uru+rVXjiGqqUPcQVahdQU3bNtWc887QK2+9qu/Xfq+MbL5vZgQ4L1fsOEb90J7d+Pa2C+LtentwefB7ALqD7yyyGcYBBxwQdqilT/SwiXA5jceF+68gWiXEI+iFaIIx4zyBaOUa0YJsBZJlOheClWHEa01Guh5/8W8aeeppqtS4uco1aqWWQ0Zp+NwLNO6aOzX9zsWace9STbz9IU25a4lOvuYunXjJjTryuNNUrmErI2ZH6LjTp+j5f76mTNbrsHthXjQ7h7pGv1P3Xl9g58qQMMhE6YBgxYkWR0abGdG67rprwojWEU0b6Y7bblXqhpQwosXLKba4Z/OGdUYSPvzkfd106zVq1a6hDqt3gPoOa61zrxyrOx8+J5Cpux+bp3uWG+FaOVv3Ps6UwrN15yNn6p5HLtCSx6/XtTefqfadG6pajYPM7qqqG264ynRlisk42+gzmhXVAaO75NuRmF93ib9x7uf3uXO/RH+c3+PwcNtD4j042qX3/Zxje2ET0Ma+/uZrPffi8zplwqk65NAK2vfgfVWpTkU17dhEnYd2UtcRXdRxaAd1GtZRXYZ1Dv6H1DxYFWtVCiNfl1x1qd7597tWXmmmI7ZuhpGYjp2Xme2DOIjLX+w60WLzrf96okXFPfnkk+HtOplm3cirr766JYzf4y5+738bfKQFBUXFM4qDMEC0MIbZnZE56YRBKBBMjGC/D3LChxbHjRsX1qtwL9PB2IEQIkJZI0iOZGnwMv6tQDqoTxQyR88XDZmdn0488cRgQLMujUWLjHRxjfAoAPIVH8VBCUBCL7/88vCRYkazmJK2dOnScJ24IWaUhTfg7TWu3Rmkmzxwjsx4/pEDtrVnBJSt7Zl6ySYqrNtzcs5ug0wt/fTTTwPxYucdDAwIOoSH6TiQHeKkvChr7zTjCumXyAvO2y7p9rhQfAzlO9GaO3euPv7445AnwvJcnufAz+uNI+GY8gihhmhBsLnfn+vwZ+MSr+3OsBwHolVg6S+237whxahiIwwrSBXnFSgvG72xUas3pOuW+x/WYc3bqXzTo9RqxBiNPPsKTbx5oaYvWK7pDzyh6Q8+qekLV5kBtUwz71ismTc/qJPmX6GjhoxWhcNbqnH77jrn8uv03idfmGFWbAaawYwo2gxl6CBtcZeY7v8U/oxEP+rd5YffzPEHTFliOstb77ylsRNPVbV6FVS7aUUdfUpXnXnFGF13/wxd98AUXX7vWF1y98m69F7WZU3UdQ/N1JULZuiCW6fo+En9dPiRh+mgKvtr2HFD9diKx7Rm3VoVMD0TFJhBUGD6t8jKYlOhZZr252WybVp/f1AnJZVjDr+IaFFWRWFEa2MgWda2i3PMcPpEN950lTp0bK1adSqrftPq6tCnhboMPVIDx/TQ0eMHasT4QRo6doD6ndhTnYa215F9Wql2i1rar/J+atv9KJ1z8Tl67+P3lJWbETYDYJMMPqZNGwXo37j+iNKU3NArDXEZQHcwXdCJFi+O0HGl3Zd4zhH330K0gl7YhmiZcWl1XlBs5KrI7AUjW5kmxzlGttPt/P3PP9NF116jWi1bqnzjljrquFN18iU3aOJNC4xcLdKMhSs186GnNHnBKs16+FlNvm+5xt/yoEbMt/510PE6pHFrHd62sy657mZ9t3aDETq+xcUU1K19BuVIfXmdxeu+dFDOhCsdEKs4kGvWaP344/dh6uA++/xZzZo21J233qx0sxMC0dpkRMv05YYNqVq7br1+sLBPP/e4Tjr1GNVuUEmNWh6qkycN0hW3zDQ9eqbufvRc3bfiHN36yGzduniWnZ+ve5ZeqLseulA33XWOTjx1gGrULq8qVQ/UyJGD9fxzTwd7DDn3fgt9jfQkk51El+jvv7k3xFUir+4Sw7tzf7/X4fUQR/w6SLyXdku9kR9sAWxNPvnx1rtv6azzzrYya6Q/l/uLajapobZ92qj7Md3Uf0xfDRk3WEPHD9agsQPVz373OKa72vU/SvVa1lOl2pXVrX933XLXrfri6y/DBiXED/zZpI0jz05M168BcRCXEy2WUmBbz58/P2y+taPnlKUr06mDHGmMKDU2eWB6E4b1/0WiRXkg0HRCGDSsrWF0jxEJRhmYQojRSzgEnXLjnPCuzLifUR2mYrZo0SIYnqzNYWSMUQ5IGWXHfcDLMe4S01WW8LT4OUfy5cSR9SZsyc4W7+XLlw+jehBHCIMTR0gWeeYe1rYxZWzx4sXq3LlzuIfpcuzQyMgecUJEuJejky0QT9eeAsrO044MUL/kjfbER3vZ7hhlwjRT/JEfygA5gWxRXpQfI32MCLHTI+XGOi5GwB577LEt5RwnWi5v1NkvkRmc17OnHbjigxBj6DDy9kuIFml7+eWXw4saiBYfPYck+nP9mX7c02A5DiNZEC2r7dBxhze5ZiyLrZTNcMjNyjMysFGffP2tjj19qv5QtZ4qtOpsJOtyTb51kabes0yT739cEx94WlMeelYzHn5eZz7ygs4x4+nCxc/pzNsXa8Tks1WnbQ+Vq9lI/Y4erSUrn9KalIywOxkfo/R693InbXGXmO7/FIn15c/An3Qgi06ucnMgQfzerHXrN+iBh+5Xpx5tVf7Qv6hJ26oaNOpInXXFibrxgVm6dsFUXXPfZN265Azd9uhZuvq+mTr/5kkaf/axat+vqWo2raIW7Zrqimuv0MeffmpthriLwjTFgnxrP/nZRrRyLR1s/037ozy2lsnuA8orFFtw+EVlFxmk7DbIiFbxxq2jWWNOPk6VKh+k2vWqqHPvIzXYCNXQsb00etZwnTDraA2d0F8DT+tjRtQADTl9oAafMkAdBndQOTM2y1cvr8ZtmuihZQ9pbcpqM7aZXsRMg2gjJjfYvA272zbNOwZ5AMSDfmI0nM86sOnRjTfeGHRaPGzifXF/jrg9nWixRguCtQUlZMS3dS8yQLT4Tl6mHSFaaXb+wr9e0cmTJ+uQeg10WPvuOuacKzRv4QpNu2epTrvtIU1+4AnNXvaSZiz9u2Y/9pKmPvS0Jt39qMbfdL+GzTlfdTr30UF1GurYsRP0yttvh+mJqWlW55nRCHi8r/hlZUfYKA+lIRnRYmqvE62//vXPatG0kW6/5QYjWilh5H+z6Qe+95aemhlGtTKtz/z8q890823Xm744UpVrHKBWHevppIkDdP5VE3TXkgv14JOX686lZ+vWh+fp/hWXasGyK3Tt7WfplElDVac+Uwb/pHr1quvWW67Xd99+rQx232SHVpNP8o/kBCTkMZmLX/Nzyo24HKXdi/N74vcm3u9t0OFhEkE4HHqW37Rfn93CCNSTzzyh9l3b648H/FHlDiuntr3bqM+o3upxXDf1OKGbBo0foGGTh2jwuIEaOLa/+p/cTwPHmL7o314Va1dU1bqHaoiR05VPrDBynh6eA0H1dufHXQnyi+2DvcGLaF7Es+wGosW1ZPc4ytLtcqKFo9I8U1Qaa0nYwAFiALnYHtFyIfDM/7fADVjKBeLwyCOPqEePHmFEgtEsysRHYlBgLpAc+e1+xIORSjlyL8Yn274zgkEY4nd4OcZdYrrKGl7HOH7TmMkjZYFssBkIozPdu3cPm1pAAo499tjQEbKAkQYCUWBRNHLEVvcQMhZHMzoCgWdjBTp6lATlQEPzkcC48ZiYtj0BXn7kg7KDPPloHiSTD4AzjRAyw3VAeZF37vcyYaQUsnXmmWeGzVZ46cEUQka8kDvuQ7ZcTl0JuounqTTgXOY4UubEg7Hkuw5i6ECMGYWl/gkbryPu83u9zgjHiwneTkG0mDJJuv258Wf6+Z4Ey2W066CdW6mHfxgW0YhWNHWODz/m5G/UP9/+tw5v00UHNWitWt2GauKNCzVn4ROa87CRqVWvavaq1zT1ETOYHn5Bcxb/TbMWPqWz739S5y9YpXEX3aiOQ0/SIXWbGTnpqkuuvlmffPmdxcvaGt6U2/N/w10HE+vKn4E/aUAW+W5PGM0q5k21/c42/WHp/c6MratvuEKNW9bWwYf+QbUa76teQxtr3Nz+OvPy0br01om67r7ZuvyOaZp8ztHqPLSJareuqHI1/qz6LWtp7NTT9NRzT2vdhlR7BuvAjGyZgVaQn2PPyYoRLSgwhl5kjMTT+/sjFNk2jjQymoVBunmzGZ4/2Xlxrr797jPdcecNatOumfbZ93/V+Ig66ju0iwaf3Ev9T+umo6cN0Mjpg8x46mPoq+FmQA06fYD6ndQ3GE9NOjfWXyr8RX8q90eNnz5Or7z+slav+05pqXxnC6M22oyJduz192vKi3sccd3hRIsXcfQFieGTnfsRt2cTLdJm+UAnGALpKoFvhsEHc3OMBGUV5ivb2k22ke21WZl64LGl6jVsqA49orlajRito8+9WuNvfUgzFj6u2Y+8oKlLXtD4Rc9q+rJ/6qxn3taZT7yqM5e9qLkPrNTkm+5R80EjdUDdhjqyZ2/def9CZVi/kpEZrblBL6O7vd/wsk6W/p+Dct6aj2RIJFoA2WaN1g03XKf99/urmjVuoJuuvyZ8xH2z6YnNvDAq2KjsLCOcGZD/wkAa3nn/Lc07d7aatKynAyr9QbWbVNCQUZ0096JTdMUdM3XNvTN15Z0zdMnNU3XOFRM0ZuIQHX5EFf1pn/9RrTpVNGbMcXrzjVeVYXK+5sfVSrej553aCYjlrzQXv+7nlJv3d8ik94XxeDj36y6jHB3J7o8jHtZBOJzHiX3pNigvM26/+3bVblhbfz7wz2rarqkGnzRIx0weqaETBmv4lCE6fs4xGjljuJGtwRo5bbgGnt5ffU7srV4je6rBkQ10SPVDVKN+Dc2bf4b+/cG/t9ivocws/TzX88FxV4C8ojMgWtiJLC3B5sFG5Fqyexxl6X4zosX0JpTc/1WiBRAshI2NHJhr3qpVq2Dwnn/++cFwpKxc6BFGN0AB12gA3I8hzRQKDGZGxFjz4htBePnFyzHuEtNU1og7frtckCfyA+lk626mk9EwWH9GvthlERLF6MX06dM1dOjQsM6IMuM6ssQaNdYhMZWE8oJUoCBQFluUoD2LcthRI9vdEE8zZeUjTxAmPgPAaB5lxFfPnVgCwlGmlAHyQBlAovgN4WKKJRvTQGohtExXpfycaLm88ey4S0xfMuBc5jz9ACNs0aJFYTTNiRZrrHgm4XZEtMg3o7bbI1o4Pwd+bdeC9BA3R0eycL8MFqORLSPTGBdRTra8ucaoKqYDzMnXutRsPbDsSR1Qo6EOathGR50wWZNvXaxZ9z+lqQ88o2lL/6GpK17TxGWvaNryf2nOylc1ccETmnDno5r3wOOacfNCDZgwR7XadlPd1p00/ewL9dYHn4a1F0wFCmkpKT8vw7iLp3lXILGe/Bn4U/fIRDTSZrKxEcOAF1ZmEJhBlWnG/ZfffKpb775OrdrWV+0G5VS1zp9Vo8E+at6hijr0qaejetRRi07V1aRdNdVuXlEH1/yr6jWvqVGnHadHVz2qr00PZ1veIVrRiBlEy0e0mEbJhE6MEXTy7ki0tq0fHGl0osUHidkIo7A4Rx999r4uuuwc1W9UQweU/7OO7NhM/UYawZo4QH3HdlYfQ6/TOqnnKZ00aHIfHTNnqAZO6qeeY7ppxORh6jaysw6qdYDK1zhIbbu21t0L79DHn/5ba9b+YEZt5jZ6l3qLt2mOO1N2OI6EjfKxcYvucKLFlGeIlsfnYf3cdUbcj+OOiBbAeXgcxx3BQm85/lIkxvVzbE1D9IMtMLcC/RNGeay+CzcVKrcoX7nFRcoz8pVuOuOL1Wt0+c23mNHbRpWatFCPcTN06g33afqDT2je8pc1e/k/Ne7hF3Ta4hc1ZeXrmmy6Y96z72reqn9p2v0rde7iJ9TxxNN1cOPmqtqwiWadc65SrY+Jtu0umQpmfYafe3nuHKwESvJQGiBW0YY0EfDj97p1a8z+uVEH7L+vGjaoq2uvuUKpKRuCvtxsadho+oIXUxkZmWHtaXpmuumLdL3+1j913sVnqXW7Jjqo4l9Vsfq+pi/KqWFr9EVDdRnQVE3bHqZ6TSuqWu2DtN9B+6h+g+qaNHmsVixfqh++/1brmSHy3fdat2btlpeZSAvTN+P5K83FwwDkzdsIoA/2fthlERAGf8o5LuOOxDj4HUc8rMPTQ/1xH+GwGZgNxKyiM86eq6q1qurAKvur59DuOnb8SB079ehArIZPG6Qh0/prwOReGjy1v4ZNH6z+4/uq/2l9NPjUAWrZo4Uq1qugirWM0B49WCtWrQj2Cc/lOZ5+jol5/U9APNhALFVwosXmW7yw39EzytLtcqLlhejASGJdEbvpMaLFbmist8B55jysC4T/3h625+Jh4ve4H45zfxbHZEh2n7v4faWFi4dBmFwZscbGP9jLmplbb701TKND4AlLORAO4OcNgQbkDQHyyqgG08fYSILNITBcvQw9XXEXT+dvBX+up8fBb/JFB43RzGgLm2P07NkzbNrAGjSIBESUUS78nICxsQpTDhkNo9NlyhzkgnIBNGiUIOURf178+XsCSDP1Tp3Sjsgbo3yMYkG0mIqHEUJ+MXIoA8qCvCNryApHygE/wrAJBsQcuWP6KVNxkD1XzjwzXla/tE16WJdhjig+0smIFvUJcebFQFyu/Tl+n6eDc9LPiBb64//7//6/n00ddOxsOgNYb4O9Qn9j56G3LEHcCPAO3mI3WLoMm34yo1u8ybRrW8ymCJaDgE0/kYcIHlcAvxPBc+zfRu4pGd/ig7KbNrJ4uFD5BbnKyMnVt+tTddP9D+ug+i305zot1GvSOZpw8xLNuP9ZzX7kFc1+/G1NeeJtjV9pZGvVa5r8+Ksat/QFTVzytGY9anhgmYadeYEa9B6sCg2bacQpp+ulN99WDus7CvMtzbwd3zqNs7Ty/EXlvB3E43Hn/i4XW2H60EgXxyJLL2WSlZ2mb374Qk889ajGjB2pJs1NbxxeQYfWPECVqu2jGnXLqW7DymY0lVeNelXVo28XzT//zDCV5fOvvgg7YrHeJDMzW3m5RkqMwBWZTPrOg2E9TFijRX1EMunp3R2AxIV/MT9vP8VWRmxxXbzJSGRBll57x8j33EmqcXhVHVztQLXo3EQDRvfUoPE91W98Zw2a3kMDpnVX3yldNGBGDw2a1cvOu6v/5J4aPn2Qehnhqt++lg6uc5BqNq6ui6+8UB9+/G+t/vEHrTWjE93EjAra6rb1FoF0xdOZDO4oZ8A9EC2m1f/pT38KRItvavHCKDE+rxu/1+MjHIBo8VkIdi7t3bv3NkTLw/gz/d54fPE4+RuVPcet4GVJIko0xhaYCR1gT4w2UrA4iSeKeVvH4xxRIH7Yk6ydRqNb1lYh0kW5RqbzVMDukqYvcqzeU/Lz9NF3P+isy6/SoY2bhZ0G+808V+PuWqLT71uuSUue16TH/qmTF7+sUx59VeNXvaPTlhnZWvWWpi5/Rafc8ZiuePY19Zo4Wwc2bqF9qtXQSaZ3v7P+OjMnO2zbzY575IFjtPvetmUVygvdmgTRdcJtD1EYpsKGzYHCORukrNMdd9yuAw7YT/UPr212w2XWx6yzAsJmov0ychIh38ohIzPNCNcGrdvwo95851XdfPv16juwh+rUr6aKhx4QXjxUqHqAatWvpCqHldOB5f+qw2pWUq8+3XTmWXP09NNP6Ksvv7BnmL5ISzewLpF1WqYfrDosu/bcbeUx7hL9OXo5IW+u6+irva3EyxDg52HispoYlnPic3gYhz+LI2GJz4E/NgP2xMv/eEnHjz5WVWpUUvlDD9SIMUN0wpRjNeDU3upzWjcNntbHdEZv0xHd1G+a6Y7pvdRvcg/1n9hLwyYNULfjOql2mxr6a6V9dMSRTXX9jdcFu5fneNrdxfP5n4K4fakC9g1TB3mJz54IPDNeVokoS7fLiRYZ8cyQMZQvow5sOY2hdPzxxwdS4GFxhOXcKz+e+Z1B3LlfYtwerzsPtz14uHia4s794og7fvuzgQs0w5iMRLCZBdO/2CmOkQoMT+7xBsVvBN/9KR+MZYChyugOjJ31Orzx9/j9ecnS81vDnxsvB/JBh0w+GI2BbNE4MPiRDXaZwphmaiXzbI866qgwosUIFps6sImGv0FlNAaCgTHvhMMJF2Xn5eDHPQlxxUBeAASDdY4YHYxMsdEFxogbOYAydT/uwc9lCTlj2ipr+3i7O2fOnLDujWvx9uful5RbPLwrdY7+VhqixVRXPqIMSUZWXdY9rN9HPIBz0g7RIr3/7//9v0A0dxXRiqwkSzvJL0HUydNxUv5OhACGBbA2ZucR/Nq2+KVEC2zEsDdjgRVb7BQXsLkgfKg3LTtLX6xZp+vuW6RyDVrqz4cfqT6Tz9cp1zyoKfc8rbNWvK0zn/1IU596V+OeeFPjn3zd8KpOW/43jVv2jKY+9pSmPfSYTrj8OjUbNlL71W2g3iOP09Mv/0PpeUbkcrNUZHnbiPFmpCIue4n4ReW8HcTjcef+1HtkEESGerQhBjoRGeczGVlmQKUoNX2dUlJX629/f1q33XGDzjhzhgYO7q0WrRqpzVFN1btPZx17/HBdfMmFenTpo3rv/ff03Xffhhc0G6yd+Asa9Ia3Mb7Zhcy5HHoady9Y+7B/dral3ADp9TYE0aI+Czfl6/X3zJiecbqq1KmkQ2qWV5teLTX09AEaPKm3BkztpmFn9NXgOUaupndWn2mdSo6d1X9692BADZjQS12Oaa9KDSvo4BrlNGHGeL3+1qvaYEbv+rXrgu51HeTtOY6dKUd3hHU40WIzDHQeL+PQ/eTR7+EYj59zd65T4kQrcUTLw/g5R1wUVxSfxx/8DZQ8sNABtNpkiK5FWgF65Yi0BHFE6ieooETYReMX4WhBI0/yZrpF1la1mZcxeUa0ssM6POo5zwhXprWPFCNCH/+wWvMuv1qHHXGkqrTqqCFnXqJJC5bp1HuW6bQHntbYJS9p9EOGxa/q9Mff19iV7+jEh17W6Q+/pNMXPKmzHnlOQ+ZeoGrtu+gvh1XX0JNO0nuffqIMI1rZpjPY4ICRHLb5923O42UVysszlwC/vj3gOMblh3P6/DvvvMPkYV8jWnV05VWXmg5Ya0VkusKJZxFrWnkZk27t3Np66hpl5xhJyjQ747sv9fiTy+2+SzTqhJFq0rSBDiq/n6odVlGdu7TXyGOG66KLzje79Tl9/HG00RjPRO5SUtKUno6+sGcUkK6obqKNcqL0etrduV/c3397eSF35M37w8Q+0cOAeBjOIz0ZtTM/93gdfh14PJyj5zjnSHy0X17KvvTySzr62BGqdFgFlau6v447/WidOO14HT15iIZPH6Cj5w7UkDl9NGCm6YZZPcOLmYEzemnAFDs3ndJjdCc16FxH+1X7i6rUrqxZc2aGdfSkj3zzzHj+vTz+UxAXtiQ6A/sYooWN40TLn5sMZenKZOogmfHK9Wk/TFPCUNpVRItwjmTXHYnh3CVec3jaS/OLx4Hz5zjijt/xOLxhMIzpRIuRG6YB0oi9c+cIEHrKj/uIiyMGAQ2Bb3Dx/SmmDmJwQ2aJm/t2Nq2/Bdx5egBlQTrpmCEFGD0oMzpV3lYyakOjZIopssOHiF944YUwEsroF+EoB4wkOngvF+KjvHz0BqPJ645jPF17Aki3KyaXC0iREy3ezEI6KT/yS94J52XBveTbZY9yQQlhdBx99NGB9GB8UK6UJWG439th3CWmLRlwXs88k3g4Ul8PPfRQmDrI9D+IFlMTyA9pjKfTQTzA873LiZYhMl6Swf5sCUecyA4w0ykGk6pAqBz8jsPvs1LZcp5IssJOYhzNYMEwZk0NBsNmI1msEeJ3vhkNaUaEvlmfqtuXLNf+9Y7QXw9vo25jz9TEmx/V7IXP64ylr2nO4+9oyuNvaeITb2jS029o4lOvatyKFzVxxXOasfxZzVq8XKdce7NaDD9WBzVoogGjRutZq/vM/DxlG5mz3NjzLC+WFq+DxDIDv7ScS0M8Hnfuz/MjOSQdpAc5QX+iF62NW3lAtDCwPv/iY33z7ReGL/XJp//Wm2/9Sy//4wW9+Pdn9feXntXrb/zLyNU34SUD+gWjCZl0YuA6w8FvZC6xHXhadw9Y+0DG7G88bfGyK+Kt/iYzyH4q1Jv/fkPjZ44LU3kq1DpYHfofZURrYES0pnXXsHkR0eoztbN6Te2kfjO6BiNqyNy+Gjitt46ZM0yj5xyvum1qqdxhB2nwyEF6+rmnwhROJ6uUHeXp7fmXyok7zwNHRuh5SZNItBLjjv/m3OHx8EkZdB06hFkT7ITsutXD4DjHzx2nXCq5vMXBFzYB849jo/lFMJ0d6sj8CW8w758hIifxNHO+9ZkO0hHljx/RukHxwmez2QfF2YYc0xPW7xVkG9HKVaYRn6/Wb9D8K69TjWZtVKl5uzCiNeneRzV+wSqNX/RcGNE67ZF/6sSH/6HTlr2l8ave1ZiHX9aUpf/SzCUvatIdSzRi3kWq06W3/lD5UPU/7ji99dGHyjKSlZ1r7YQXEowuFxq5LgOi5fB2yDl1RvtlRGu//f6q+vXr6IorLwlkCr3JLptFjO4V5ig3L1OZWakBqWnrlMY34CwcHydHd3z9zee6f+E9GjiorypWKq/u3Tvr4cWL9NZbb+jrr780mY4+EI+thcxFL2RYL88yDl4ooL+tGkrqx11i+oH7kxeXt3g5xVHaNXd+PY7Q3q3/Rm8B78v9Os90JMYLKFfucX34z1f+qeNHH6dDDj1YBx16oIaPGazhpw3WEDbAmNpfI4xojTx7kIad2U8DZ/fUQCNbg2f10WDTFf3H91DvMV3UekAzVW1SUeWqHKhRo0cFuz/e5hLTQDoT/YC7ZNcSQRzYOKzr9IEINt+CaHk5JLsPlKUrM6IFKFQ6M4yk46yRsnkBRIsdxMgYGcf5ebxB7SwIn3iPu/h10hMP536J8IYQh8fh98aR6B93fp04EF4Mf8qEhsvW7i1btgxT4tiUAEFwooCh7I0FweecOLhOY4dcQET4GO3BBx+sQYMGBTJC2uONK1l6fmuUlhb8SCv5JT/kE5BHQFn5NTpbCBkduodzYkEZeXjKFlBehPFG7enw8z0BXj7UO78pB/LI8Dvb+1PvjPjxbTUUC9chq+SbMgGudDGAKDvKiXJjNJTpprTHY445Jnz4GrJGWJ7JvTw37hLTlww4by8ui/ym/tgpklE0RrWZOoj8+nM8j4B7PQ6Ph3RBuMuUaCUxBixQLDxx06uaP2ZT8LO0JyFalpKAEI5zJ1nhfjsmEK1NZqSQ52CsbDaZhWgZyfqphHQVFucrPTdbP6Rn6uGnntcBdZtqv8OPVKsR4zTjtsc074EXNH3hC5q25GVNXf6qpj7+umY884amPvmKxi97XlOWPas5RrTmPrxcx194uRr1GaRKTZpr5Klj9cxLLys1y4zkvGxttGcX8+2l32hEK46487qP5CKCjw5CuFiDVFjEzlhZ4S31+g2rzXDaEAwojCk+zsuW5vlmdObmZpr8sJFQNOUaguWkwPUGcuh6w8HvuFzufrAyihEtnF/zsgujgVZeTCl756O3NevsmareoFoY0Wrft60GndJPgyaaYTTViNbcfho8u7f6Tu2qvtO6acCsXho0p48Z2kbGpvfTsGmDddIZJ6j2kTV1QNX91LpjKy1YdJ+Vd7QmlDKlPL1Nx9MaT9uOgPP0A+LmJQ0fLIZosXGSEy3APVtlJYpja/4jHYQfnw0pjWh5PP5sP8dxal4BMe8t/olEa1uYQWmB4iD+MMUO+O+fwcsjek70LE+nwXRCIFriBWy+yTpTB43kGtHKMZnPyLOj5fvHtHRdccsdatC2kw5p2EpdTpsevpc1Y9GTmr7kBc1a8S9NW/mGTn/kFY177HXTG++a/nhTc81v2gNPa5oRLXYerNmhm/73kEoaYrbbx998HXYezOYZfEPNyFZufl4gXLuaaHk81KGfU2cR0bojfLC4br3auvyKi7Vu/Y8WbfSiip02IVyQLXQAR/RETm5GNApupIvfnD/+xHINHTZQBx9yoAYPGaC3337T+it28GWGTGboW322DPYG0wWjDzZja6CXEAYkYquL58HhzssHuIzGdY/bN5y7XnLZdud9ooMwwOMCpBXd5te5Fn8W1/zFEu2WdubtmP769Tde09jxp+ngKuVVoeYh6jG0i4acYrpgXH8NRGdM7qkBMxjJsvMZPYLeGDSjt4bO6KsB43ppwOm91PWYjqrfprYqVj9Ew44eFpa7kC63zdyRt3i5JCs3XNy/NHA/9cXLmSOPPDIQLb5P62u0EuOPoyzdLidaJNgzRMVSsBhJTrRYoxUnWvGMxgUq7r8jJBagO79GvMDDJfqVFk9pfvFriXHEXTwMwgwQbN6SsGUthjIjWmPGjAlrlBB0GjTGAA2B8qOxuWByr4/8MJLBeiX/Bhdv7Ajvz/Q0xZ2n8feEp8PLJa4APP34Izfkk/zS+CEI5N8bqpcJ93Du98bj5ujOr+0p8DyQR34jGyh93shDzJkCA1HH8PAy4oiMUUbA5Y37ME6QKcBGFE60IOlskMEGLXGZ49lxl5i+ZMB5uRMP4Jy0852vbt26hWeymYcTLa77vTjO3Y8j+ad+y4ZoOex/EmMgfo0PYUZvk0MiS/xpZ9uSLGApCbBIAhKJVpxsRcQhTrTM34wo1l9AtNj1rtDIT2pOpr639rDqpVdUp01n7V+/pWp0GaJTLr1Ts+95XLMXMmL1d81Y+g/NeeJ1nfH0G5qx6mWNX/ykJi9+QnOWrNLsBQ+b4Xyu6nXppZot2+iUydP03N9f1obUNGVZ/EXFvA3GcPv9iJb/5hnRaJaVjZUF34TatAl5wZCKfkdvrnOt/Ph4KAaDGfsQRvtdbPnAsMrKYvSbl1PRVGJkydsGv5FB4LJKvh3x9EXp2fX5/vWw9JRCtJBXT+9Gk6d8K6ePv/xIl157iRof2VAHHrq/WnVtoUEnG4GaMiAYSMPPGKAhs/uq/3QMqF4aOLN3WHsxyAynQVP6qd/Y3ho5ZYQObVpF+1TcRw1bNtKtd92q9Snrg2GG/qE8aa+J5bRN2nYAXEi31Qd1gO7gJQ27zEK0WNuMLiOsP8fz6nH4/Q786B9/ya6D7jg1r4CY9zb+4VrsPP57kxnjrN8JiMnWJmNim4EFSkT0UgdEz4meVZJPdMcWokXfwHfSWC9l2GSkx0hFek6WMvMLtC4jS/cteUzdBx2tyo1aqe2xp2jcDfdq7kNPauZDz2jmI3/XnBWva8by1zVz5Vs646n3jXy9odmPvqxxtz6iMxes0KCpZ6r6kR20/2E1NMrsjC9/sH6C7eNLRrUgWZxHRCsquzi20acxJIZLhqgsth39oM546XrXXXeGEa26dWvr0ssu0pq135sejmYA/PRT9LLKCRfTCRndKrZ2gF7gBQ2/WeO5fMWjgWhVO6yKhg0bohdffMHss69NxtZYv+mjWJHtgXxDsAAfjweQLup2a71utWni8GvxvOFPe3Ebj/gd/Hbw23UWafEjbYM+H9AGsZcoG2wE+nNeykIw2KWa/vatt97SK6+8EpYbPP7446Hfp1/mRQbEBDDljo0ksCv6DuijQ6oerEPrVVXjoxpoxNihOnryMA2dOlADJvdWrwldTEd0D1MG+0zupoHT+2jodCNiYefSfup2XBfVPbKWqtSqrOFHDw9tjnSTF/KMoxwoA8omyHcJKKNE52W3PXAv5YDOYMYXRAt747+OaCVmBiHBSGLqIMYhBh4jXFzzcDiOLoj+e3twx7k/M/5cHL/jgh+vTM539LzS/ONxEC/nfi3u4mF5i0ADQQjoKJgKxxQwNiVgShXfNOIaDYtGTXji54hg4u/3M/rAiBgki40i+NAvxjPX/XmeprjzNP6WcOe/SRf5cgXDEZBP4PXk5eAKjt+UgzdSLxuucZ7okj17T4OXE+coVZQn9c+aPkgWpIW3tHyYGAXmHQKdA7Lg5cO93OfKmWl7rJnk8wCs71u+fHmIm7J15U89/dKyw5Fm7vU2xzkvD1gXxhb+6AAnWp63uIvHx72Eoe7RIYyG7VKiVUKEuC8YPaSdRc0bLR5eSbtRwG+D9eR+i53bwfy4Z1MSshUMohL4aEycaDnZCiNaAVuJFpFHRCsyqIqMOKRkpeub9Rv0j/c+0LCxk7VPzSYqd0RHDZx2gWbd8ZjOefgFzVv8ouY++qLOfvxfmv/Uq2ZEvagpDz2u6Q+t0JwHlmrqrXeb0TxLtdp0VKO2HTVn/vl6/a13TS4gKWygwmgWbWurrkxWbr+0nHcGuJ/7kwZIFcYkBJAj69a2GlCsx2C6Y34+xAnSRfpNtxhp5DcEKy0tMkRcj9BGaB/IJ89BnwDOgyyUwNPB+fbK4/eBpRE5CcIYcyViHV4OWDjSXWhl8d3qb3XPg3erU++O2qfCX9TwyAYaeFI/jZg6REOm99PwOQM1ZJYZSUa6Bs3sa8c+6j2xm/pN6qkhZlgNnjBQR086WlUaV9FfKuyjlh1a694H79O61A1KsfJ1okWZhmTYsxPLcWeA4x7XH6479t1330C0Lr300tD/EdbjT3xG/H6AH9PQIVrozD59+oS3636NMuLoz/ZznP3cBlziuMl0wZZpY/Fj7HyzhdlYhA43OyHAasyOm0zHoGcCLDKeFyHSF3ZnCUhHdG1TgN0f6p0yjojWZiMX0QepjURYmygwIpGZl6OMvHylZuXpmb+/ojHjp6la49Zq1Guojjv3Ks2+Z6lm3rdCMx94Rmct+5fOWvmGzn7iHdMbb4eXNbMXPafpdy7VOQuWqcdJE1SpcXPVadla8y68UN+uXRN9HLkgP8mI1s/rGv2ZDInhksHLJn6krujL7rnnHpOH/UqI1oWBaLlugGxRPuhPfqMnGNlCV7ATJyNclBdYsXKpBg7qp6pVK6tdu7Y666x5uv32W61PfMxk5KlA0CEorKvnBfmPP642rAlYs4a15egWRoG2bsQFOI//jvsB9BEECWLEi1BfA8b05u+++y706cxy4jMobGDFi3hmLT377LOBsNBnQ5DuvffeMLrHhmp8T5MXERdaPZ1zzjlhEwim6TMD5uSTT9bo0aPDDBZ2AOc7mozsdunSRR06dAjrp7FDWQ/P7s7NmjVTFSuTgyoeqEo1K4bpxiPGDtNx06It3YdOH6T+U3prwHTTF6Yr+kzqrgH2e8jUAaYr+oeRr07DO+iwpofq4EPLa9iIrSNa9One5miD6F6OrmO9vhMdfjsDyhYCST4gWsygof6ShY2jLF2ZjWh54jH2IFbxNVr89kbjGeSY+Ht7cMc5cblSjVcW5/hRscCvu3+y34n+ifDnJSIxXbh4WMrBjWCOGIoQJASaDTFoIPgRzo1LN5TdiKax0iBp/KyxYec5RsT4cj6MnYZL2uNpijtP4+8N0ublSV6dcPkxXt7kx/24j3OAP+VDw+Ua8SZzic/eU+Bl5EfkBiWMDPBGivaE0YCyZH0eygW5cjKF3FA+GJT4U07EgZGCwmZdH/LD5xYg/bwFc3JG+cbTEU/X9oCL15PLImnm7RkjuKR52rRpgexR31x3F3+W/yYMeSHNZUG0MGxIM+RiI2k2bCq2dEO4jGyBzWYsbS6MELNxtMn8+e4Um1iwFoapd2H6nZ2H32xGEAPEKlhgbkhhWJWQsLBGy9IAQYvSlUC0MtP0Q2pK2BDj+gUPq1KTI8MW793GTNfMWxbpnAee1Jng4Wd1zrIXde6Kv+vMpc9qzsOP68zFKzXr7gd1ysVXqu2wY1Xx8Kbq0LO/brrtLn3x1bema/ggMOtr6AR5wbNVjyYrt19azqUh7pJfs+cEgwkjjrWnGFGRIeUGFMZSIFZhO3NGspgyi+zzAibSHcg++hQgS/xGzuMdvB/jiOeT812V710DS08yooWLRNsM/ahfLLRy2ZC+Xs/87WmNOvV4lTv0INVqUlM9ju6mQWYQDZhoBtJ0M5AMA6f205CZAzRkxgD1ndhT/Sf20fBpQzViynANPm2wKjWopD8fso96D+2rZU+u0JoNZiAa0D+UK88LSbA0JpbhjuBhORIPcN1xwAEHaL/99tNFF10UviWYeG8c3O/PdmConnLKKaG/5LMh6FD8Ce9hcR4eZ5fsHGOQ9BAnYQ38hjAF4mTht4ONhZaPEqAvNrGuB/1SomN4UfOTtf1oBIu2nwjzp6btOmu+gMUStYsSolXMNNnCbBVAJEzvFCDzhcXKyi3Uux98qvkXXq66zY9S5SPaqfNJkzTuyts1847FmrfwSZ3/2D91npGtcx57RWc/8rLmPvCczl70rM43XTLlytvUvPcQHVijrnoMHqaHzbhnmnHBxuKwLovNMHg55Gu1fiuiRf/GjKBy5Q5Snbq1jHxfZP3XD3YNnRC9jIk+x0AfFL2QYQScIyPguXlZYbMMwq5YsVR9+/UJcR18cHmzxerpyCNba8CAftbHHqPx48eHjbnmz58f1tUz0nPNNdcaqbnJCM5duv/+B/Tww4u1ePESM+4fCS8FHn300SCzDn7jj/HP2iFGjfj2KS9MIUjs/HvttdeGHTX5RiZ24bnnnhs+tMu0N/o7Zj3R57N7N7su89Kyffv2YR0Su083bNgw7MrMi0xewLP+mo0g6OMPPPDAAHao5jfg8y6QEMA6f8Jjn7MrMH10nbp1VLN2TVU8rKIOqGxtr8q+Gnhif42cMlJHTx2hYdOGaMi0gRo0rX8gXH0n9FD/CUa6JvXX0AmDNPC0ATpqQFtVaVBF5auW1/EnHB/6cPQvLl6ffoy3Wa4nOvx2BsgHZQ5pJG/YG/91RAvnBQXozFhsz9RBKhFGXRrRihew318aPAz3oJB5jsONPOLnyO+4X6K/30fn6x2wx+PXOfq9iWmJI+747fnEiKXT4IiwYfDSCHm7gAHJkSFbRhYI40PCCA3gHJLFZgg09sMPPzw0JAgXbwp4A8KbEdLKM+Nl6S6ezt8KnhZ38WvuOPc68Wte7l5PXnf4OYnwuvC8OuLOryeG2RNA/jzPgPrFoOE7any4k+1LIeooZt58cR1jhzd+yBrEinPkx0k+G43wNpD5yyhXtnrnjRnxumzGZYjneznuCDjCc5/XGf6QP2QdooUy5y0bz/Tn4Ajn93pcnHt9lwXRikZMkCva+dZ2v7GohGyZMQXJKs4zfzNaivOs8y60ZxTZswosj/a7qNCu2b2MGsRRUBQZ+yAiAEYQ7DnbEC0Q0lBSZpZ/DC78NzP9JUa0MrIytIHRmfxC/evDzzTgxNNUtUVHtRhwnI6be7Fm3LBAZ927TPMfeFzzFz2hsx9+QmcuWqGzHlymsx94RBOuvFH9xk5W9RbW+dVrrDGnT9azz76o1T+uVWaa6ZhgKEdky9taaeX5y8s5OeIuuT9lQXkxFQjiaeAYDEwnWxhSrGeL0ku60Q2RjkBvR20IeNwc+e0EjPz6vXHE88n5rsr3roGlJxjclFGCI5vmTR7IG9tdZ5tx+dHnH+qSqy9Wo9YNVb1BdbXq1kK9R3dX37E9NWSKkSumEU7qp6FTB2notEFGwPpp8MSBGjJxiPqO6asj+xq5r3Gg9q20v8ZMOlV/f+0fWpvCttkblJoWTVv2Ng8Sy3BH8LAc0R8APcZsDwxFiBbfnET/ES7uEuPh2fFzbBCIFt9ppK9Fn/h9Lu84wkfp4BplSF8UjUptATrBiJNjY4HdXwrQHY6N+SazBQaTy02mY9AzvNgJG+IA00Vho50SEhW90YnqmL/FVufAYg5h7Jc2WhsogkAYycpnLaLpniLLT4ERreycAn3/4zrdt3CJuvYdqgNrNVL9rmYszzpPU6+7R/PvW6ELF7+gcxc9F3DOg8/qvAefM/+VOuPmB9T35Kmq2bKjKtVpqImz5urDz79QoRErSBUkixdD7DoYCFcZEa14nbg8IROQlfLly6lWrRpGgC4KU/0oP15oBV1b8gKLc+C6PnqxFr2YYefShx56UP369Q19IbODICo1a9YMZAM/iAiyh8HuBIZ+iDAs3WjevHkgOw7WzTNljdEUHx3iN/7MQiE8fTa7KfOCnTX6xEfcTnpYf+1wYgRJAqSFcITHnuZe0swLBGxC4oV4MUrFmmj6XDbNYgQLgjZ48OAwi2XEiBHBFofAMdILoaRfBZA7liecdc5ZGjhikCrVqmxtfl+16N5cfUb3MSI1RINMLwyePEADJxvRmtg36IoB4w2n99OQcaYvTuyrFnxLq24l1WtSX/POOjP0+ejlZHXK0c8B9Z/oEuWjNGDnoDPatWsXygp7I/7dzdJQlq7MNsPwAkNZMmzPlEGElApmGpAXrmeQoxfwLwFx8Aw6Vx8FcoOJaxxdaaNQ43A/vw783vg1j5PfnmbgLp6euOO355NOCAEAkCaMYubO8oaOBkvZUEYwcYxmGDibZjDSwJAyROrtt98ORjINiEbWpEmToHCIh/gwaBFkL/tk6fmtEU+H/3a/eBh3iemmzPHj6HXKb44O6iceZ9y5354G8oPscU7+AGSJToZzDAWm/0FcUOh33nlnmD7KNUgTQB6QO84h6bwJZvSKNX0oaO5j6gFTFQhH/By9PL2cd7YccV4n3n6Ig3QsW7YsjL7xXD447EQrHj/nXo84zgmDQexEK9l3tPweP+4cyB/tmRcoUceL/ghtn7ZeQraKC4qVn52nvEwrFzNcNtrvTRhY+Rvtt9VLgcHudXKVX5gXwQgLpAXsiGhFaTE6wQhayHqUtsjosrQV50dEy+oxwwy179OzdIuRpyZd+qhKs/Zq1GOIjp97oc687UGde+9Szb/3Ec276yHNvv1+zbrtPk246gb1Hz9Fjbr0UpXDj1Cn3gN1+10L9PXX32nDWjOUf1ytrIzMkudSB1s7vWRl98vKuXS4K80/KqOoDKKRLBARrcjP5Gcz04RID+0F3Y3BulUWozUUm0PderqRS+DPQla9rQHCxfPI+fbK4/eBpXF7RMvgYUMfZsZwemaqVj2zUsOPH2bGT13VbV5bHYe2U++TemjYJDPAJg/WoPFmjE0w0jVxkAae3l+Dxg1Uv5P7qw1vpxtV1X5V91eNxrV00TWX6dNvvlR2QX7YhS41PdrF0cvVyxCEJG1Jd+nw8uXo+iORaGEAJiNauNLiou4gWkyfYqq+fw7Fw/IcwsTvs/92TtlhA4ASkmUoMh0QR3G+pdVQbESKowNyhc5wFOejP4DZE+gaYLoW/YNugCRw7muMIllH/q09lpxFRMvSGfxMji1MEd/bs3aADsozfcNUPj5AnpGZrfSMHL36r7c0e975OrRRS1Vp2lZdjj1VY86+THNuWKD5dy3V2Xc9ZnpjhS64/3Gdd/dyTb7kVg06baYaduij2s3bqUOv/rr17nuVmpERyBVEC0CyrLTCebTr4M/bh3kmRWK40oCjTrweOdKfsJ4IUlK9ejVdeOH5gWhZSLse6XQnVfEjujgqX2wGptSn6b777gmkBJLF9DlGP5hyRx8JEWGaKeAahAmSBKGBaPkIEC+8GSEiPRj2xOVEiCO/maZPOI78dsLmJAnSxagUNh3PgJRB0vhWJqNXECXWU/OSABuamWG8OKAvnDVrls4888xgS7KkhF2sGTFjBI1NX5B1dhqmz8VGYEoi0yABdiPgxT+/eRGLrRnsBSvTR1cuVfcBPfWHg/6kP1X8sxp1bKgex/fQkAmDNHzqMA2eNCiQrqOnjzAdMlQDTjGydfJAdRrSWXVb11X5Goeo9+C+emDRA1vWgVOP3ubcrvbfXtde93GXKBulwXUGI37UCfbGfx3RihcS5xQklcwUJQQPJYexFw8XD++F7ZnfHjw8lRQMJFPO+AH/7eSDcAAjkmuE4b54WK5z7m85eYb7eVjgcQF+J6YrGUgDBi+kCcFGGCBcbHnJ2wTKhsbGGwe2sGWzC6Y7UHZMDcMgRmBo7LzpoBHS6bDgEfJG/OSNo6c97jyduHi6dge4S/T38qZuHOQNxMt/Z+tgTwJ5In+c48g7hANZpJ5Rikw74E0ZipqNJhjlYgop874B8oaMEZadBvlwODLj9zCaxTRUwkGy4kSLZ8ddYvqSARevL86pK+Jk8S0dFh3PhAkTtmzv7s/x9oXzuLhGGO6nDdCx/e///q8mT568RXFyT/w+9/PzZIjCkjYMcz5qzRfx2UQkJ/j5SBSbVGAIZZqBkZ6WprycXDOOMJIKVZBXoPy8aLSKqYOs0wpbafPBTAOjLHTu/oaVY6kjWpYWloQVW9KiNRiRAU26WDMF0UpN3aAvvv5K69IztCYjWx9896P6HnuiqjU9Ugc3aKkGnftqwNhpmnjxdZp13R2afPkNOvm8S3XcGfN15NCROqRJc5Wr20DNO3TVxVdcq3fe/VAb1qQodW2KsixOyCXPiz4Ouru0JzcvfSTLgSEaGVDAZSDaMAAZjMGKG39kaXvYffK8s4jkxGVli7NTK5ISRGHRGflGiPIKc/XZ15/qsmsvVdvObVSlbiVVbVxZzXo1Vd+TemnoeDPk2PLdyNXQ8Ua6Thuonsf3Upu+bVSrRW3tU+mvOuiw8hp83FAtf2aV1mcauTL5zyu0tsAW3/YcytLT6PUSP/ffcefh/TxeL/52GqLFhhjoL14Y4Twuv4ff7vDjt/eF9KUQLfQeNggvbrgWD+vgN851rpN0fvMc+thgExipp91E+iA/gPNiRrnZLCHXSE+26VVsEItno5FddECxlVkB+iY3OxzRDa53OPKCxafGMh2O+iVnaA6HhQhgbWg0XbnQSFaucixObB6QlZmj1JRMffrJl1rx+LPqO2KUKjZopgqHN1f7gcfphOnnatKFN2jGlXdo4kU3GsG6SaNnX6Qex5yuKg3bqFHbbmrbra/Ov+xqvfP+h0ozPVhg+hCyFQeEK+itknKj/BxxchVHPExpwFHufvS6wXZit12IS40ah2n+/LOMKDCdFJmhjn4OdDHlG/8NHnjgfiNRHcPLbrYBZ8YQJANSwDl9JmSFKX9835MpfkwhZA0U/SejP/RH2HDIlwMSxEgRa6j5/ifrpOj3IEbYcYyyAIgdz2VqIt8Ive6668JSEF6g83KSNVm8JOAlO324EyVeNtDH02cjj8ioH+Og/4wDuXXEr9PHMvMFWwAgP6lGRN/98D1dfeu1OqRmRe1XZX/TA7XUuFMj9RndWwNPHaDOx3RUr9E9dOz0YzR8wjD1Oq6nOg/uojot65quKKfDDq+uGXNn6JVX/hnaMs8inTjqkjR42/X6TYS7ZNeSgXxQdpBjRgMZpWMwwp+T7B5Qlq7MiRbKia1VE4kWmfZw8fDuvyPEK8eFBj9XjgggRiaVixBRuVQy113QOHfh416OhMOfZ6CIXRjx87x5OrnuBmI8bclAHKQLAWY6l29OQINBaVA+EC2UB280mI+LgPBmhXm5vHWhk+CNCWSLOby8qSCPKB7y63nyzsUd555G/707wV2iP2kGXs4Oyt7rP/Ge/0aQV+TQ5ZhzlAnGA8oe0s1bMo7z5s0LSpoOgusQed5s0Tmg/HlDxlxuSM/ChQvDmyzk0BW2twWeG3eJaSoN1InLoNddItGiU+LtmrdZnIf3eHBco91wP4bRriJaEQhDG95q5OTns5YtAtuH4x9GuuxarhkwWdlMwcwKo1Vhhz67xjkjWBg5jGj5+qzwlrmkU98x0bI6ttNAtOxoKQvGVWQ4WFxGtFhXsG79On374w/6cb2R6MJi3bLgQQ0bM9Y6v6NUrk4jVW/RXi16DVK7wSN1lKFV/yE6vEt3lT+8iSo1aqoOfQdq3nkX6dnn/q4fv1utLDPCMlOsUzWihZEYnhzKJbGsfi9AIiBaECsnWI5fQrSAhykdydOwu8LSbIa2Ey1gfyyjkYiBIpMRpraFNUXWvgqMDK1PXae/v/Kizpg/V226Hqkqh1fSoY2rqEG7+mrTp7W6jeiq3kaueh7TQ50Gd1TLHi1Vs1lNHVLrEJWvfoj6DO+nm+6+Te99+kHYoIUPaacbcq1vo626fk4s18TfcRfPF9e5HxAXfRtGEyMGEC36PV+j5XHFz925H3Fwzm5r9LH0ofSn9J1cc0dYh8cZvYyh/aITsQXQj2YvMJpj/ujLvFz0BXoZQmY2hum0fPvNJiypqSnhBUl6WoqRHj6vka080zG5uXyWIDN8Cy7yY5MGdCF2RyTT0bf6SuQ71LXlh3Qa0CDUfES0rJyMMOSbjsq2+LKsLtDn2VnZykzPUkZ6pn78frXeevt93XLPQg0edbIObdhcleo21eFtuqhNb7MtBo5Sy57DdGTvEWraqZ/JRCsdeGg9des/3PTFxXrpldeVYYQxK4dRsowwehUnWb810SJ/9GmMDkG0zj77TK1ezSgncrMtwQIRecU2jF5++QswXq7deeftYcofI51nnDEvjOi4zZdnOhHSQf9D/4gsYrdtYF3iunUlWGt96OpgxzESxItvB795yQlp4zpyyzpr+lxmKnH037x8J26eR9+O3crzeDbAdnTgTxmQRi8TLx//jWzTD28P3E9/H+U1WsPtz0eOMrJNdtat1kuv/UNHn3SMKtaqpHI1yqlCvUN0+FH11X5QO3Uc2kHtB7czvdFFbfu2UcN2DVTziFqqYGHrNquv4aNGaOFDC/XV11+FfNBmAGmkjVPWiWlPhLtk15KBfLBZCJt7QLQguMwSc72U7B5Qlu43I1rMBWWoFKLFQlQynZjJ7RV2aaCinEwhXAiMCyoNwRsI5wg08F1dOMef8AgccKEmLtKIH88gH/G0cU4YsDNpJhxxxQXan8UbCtawIBCsu8FoZmiaIWrmlHOOImBYmU0MLrvssrBFPo2Vtxre8MgrjcbL1h3nnkb/vTvBXaI/aQbkJw7393DJ7v1vgOfLlSJyiLw4KUKGIFKQLToLSDpywugWUwsgJLxRQ2aYisAHsiFaGBxMNWRUiTbgZJ34XXaSpWNnQL142/Fz5JxvdTH9wYkWb+j8ebjEdoTjmncCZUG06HDpgAOZMsKUnWvtMjPFDKDMsOaBBdOZ2Wn69oev9cHH7+v9D9/VJ19+pO/WfKN1aWuUlrVBOWwVbMZTppGw1PQUpaRtsE4qM0zjoTOnc98R0SI92B/bEC1LXzCyjGht3MhLolxlZmVojZGtDaavcq28Pvr6Gy1cukwT55ypdr37q1qjZqpQp6EZUs1UtXEzVWzYWFWaHKFmRrZGT5ysq2+5Xa+8/pbWrrZ0p5uBl2FylGmGX2ZWGK2zp0b/flZWvyesfCBWwfCMg3KjjJLVNbKwLVxOtoefx7M7A4qFqW1lESQGWdoiUgHRZg3IUNQPZ5rxD9FaveFHPff3ZzVn/mx17NNetY6obkTqIFWoXU6HNaqqGk0OU5X6lXVwjfLh48QVaphh1aKB+g3vr1uMZH30xadak7JO6/mGlhnfmQaMcNopfZy3f9cBpDexnOMuni+ucx9xAPq1lStXhlkcEC3e/GO4EpZw8fs4xuPDz/UKowLs8utEi3Xi3O/Ow3s8EClecmzcWKj8gkgXcGTXuk1h05vC0MYLwi52vGiJdMAGK5cfVpt98b0Z2998oQ9Nb3Bcl7LGyinNdAX6Alh58Z03O0KQeFnj+ghdwXOZwks6Qh7IU6hg1xyWXgObYxTbPYwqZhtpyzFdi75Fn2emZyg7E8KVYYb+Gn3wyRe69+ElOmnCVLXo0F1V6zbWwdUPV/nDDte+FWvpkOoNVKlmYzVp3UnHnzxRN995n15+9U3Tf3ynztJsBJKXTk6u4vitiRZLLOhLWEt19tlnGWGJyLfL3VYgR+iPSBYIQzyQ54yMdF133bU64ohmami68sILLzLZ+sH6AkgYfS0v2Lbu5Ew8hWwCEgg3+n0rkYv0fPSi221JzoGnhTj8uDXOrYSIc//N/XEiFA/jccfj9Ouck0ePa3sgrN/LM8grZQuoa6ah5ljftnr9aq14aoVOOv1ENWrdWIfUPEQHVjtAlepXNFJ1mGo2q259TxWVq36Q9qmwjw6ocqDqNTtcx58ySnctuEsffvJRIOhu73q/73mLlwdpT4S7ZNeSAft6xYoVYUdFiBajiYwE8szSngHK0u1yokWCPTMcqcQ333wzDKc60eJtOxUdzzSO39sriERQYRibbigiILwV4DdH3iLwZoHpd0w/YJcXtsBkMwmm5912221hi0yGhqkI7nNixtEFF2GIp9fT+UvTi3Hs6UToeIanmTcfGJPMscUQ5lsfzDHFMGY6IaNbDC0jQEwPg2T5ELen18nbjgRqd4O7RP/Eck7MU9zF/f+bgKM+Xf6cYCE3yCVvwphWx4gVu2mxuJa3vxgmEBMMC/wg7SyKZcSLtz3Im7+MIA7OiRuZ97LmuY5kaSsNfg9xkG5kkjYG4WNuOooPncDzCIeLdxIO7kcZ7wqi5eEcUafJekbemptBYuQoOzdDaRkbtCF1rb785jO98e5revyZFbrh9mt1zsVn6YLLz9WVN1+mm+65XgseuUePP79Cb//7zWBUbUhl97W1+vb7b/Tjmh+C8QR54xm/mGjZMUo3abUO0YwuiFaOGbNhZC0nS2tTU5Rm5OgHq7t/vPm2bluwUKdPm6neQ0ao+4DB6jpwkHqPOFonjJ+gK2+5Tc/98xV9+tU3llczFvOKVJBpRnGWlX+eEfhcMxQNSJulJhhw8bL7/UEZUafgl8gi5RiVZWL9J8PP7989Yam1f9bGdkC0rLi0eaNdMTC6xQgL/QUvBH5c+4Oef+k5nXPJWRp87AA1bFlPFWscrPKHHqiDDz1Ih1Q7WFVrV1b9pvXUpXdnTZ4xSfc/tFAffPaRsvNzlWqG03qLD4IVjXREu+nSJ9Nm3ZDzck0s57jbkq+S69zrIE5Gw5nJAdE6++yzw4tSwrm+8DjcxePzNPBikjXQ6EPWuPDbdQ8ufk8wykt2qWNLcP/YLduCF280Q5Hd/eyYy8eBjTytTzN98f0XevXtV7V01aNGRm/WlddfqcuuuTTgxjuu04OP3q/nXnpG7338rr5f+52VX4rSs42oZkXfsAvfsQvGOy92eesfjRCC4iLTGzFyEtJroNapfdZtMcrE9M18K3/qIBjNRo6Yvkj7hmylZ2TpGyNNz7/0L119460adfLpat6mk8pVqq79y1VV05YdNPyYk3T2eZdq1RPP6dPPv1F6Zo5S0tK1Zu0a63dSQxqjHRC3JVllRbT8SL1EdfNTkAnsOexJ+gTWJ/koJ3Xq8Hs45xrnHhcySt/H5wIOP7yBGjduanbh1WZXrbdrjF7S70Tl6LLMMVoHGq25dYLlL+row4ATIYfLssfh6QL8dsLBMZ5Wzh38xt+vObjGM1xWvO3tDDw+jwO5oa8F9M2M3rL+OCM7I7xAfPbFZ3TuJedq0LGDdXiL+kbSy+vAKgdo/0r7BRxU+UDTGVXVrks7zTxjplY+sUI/WL0EWTR7BTuVuL1MvJw8f/E8xuEu2bVkwJZZtWpV2MsAO4ipm0y7jOc5GcrSlTnRInN8h4BpSzQKiBbzTingeMHitlfYieB+CtRJFvDhVxoQ82shJRAqpt9BXNjxxRcdMj2PndeoDBYZYoAyqsT3fSBoTloQPvLgwsDRz0kHLjFtpQEhI80caRROsoCPwtER8rYfw5SPrpEmjMz33nsvECzIFWkiLKMRDD07caMMaCBejolp3V3hLtHf81Fa+uMu2fU9GeTZFQOOeuQc5ZT4cgE5QD54y8euXBgUkBqI1YABA8JHwtkqlimqhEOG6Ky8zThxQ4aQS57r5c5zd6SgEuEy53kgXuSZXY+YPkx7ZJQ7kWgRnvvjR/wJ50Trf/7nf34x0fIwDp4Zbf3NfPFcK78frQxSlGlGz5dff6bn//6srr/1Gp0ycYy69O2oBmaEVm94qGofUV21mxmOqKUjOjRSnxE9NG3uFN125636xysv67sfvtXa9WsC0jPZ+THDyvOXE62IbJF2y4cRrWhdB1NGzZDNzzGDKcWesTZM7eB7Nilm9H6HDHzwkZ589nkz6h7VkhUr9dw/XtZr77+nr3740QxCdiWL1pYV5RjJyjQDIsd0hRngRfnR/H5SVoTRZMZbvPx2D8Tb+M60d2RgqxwkykAybHv/7gtqCFjLDMAH2J9IrKjIaMM6Ey+7EohWUegz6C9+WPN99GIgZY3eev8NLVn2kM6/9FyNOf1EDRrRX30G9NSAIf103OiRmjpziu669w49/+Lz+tHaCd/MYvSEbyilmd7YkLLBkBL6L3RIZKD950SLdh/XHUwTg2ihx3hJFLXhqO14HO7i8RGGeNAfjPJDtNhEiJkAXEt0UfoARjL9v/WpfNw2a4Py8jPN8MxWdl66CjbnGOHM0GfffKxVz6/SVTdfqbHTxqr7oB5q3Kaxajeto7pH1NERRzVRs/ZN1a5nWw0fPUzzLpynhY8u1Kvv/Etf//hV2HY/Pdv0uekfphvStxfk007NaGbjnWLLI+mME5USZ7kMtR9g+S0yncaugEVWduhxpgMXs6bU6iQ7I4o7IyvHdEeKvvj6W73wt5d15lnnqXGTFqpeo55OPXWi9SEr9dprb+vDDz8Tm+Wst7ApKanBpmIaJCTQiVUidjXRcuDisoRM8LKQ0Sz6BGw3bDauuVzEwyeCa8gXbYEde2vXrqMmTZrp+utvtv6QT+RYfkwJR9g2nmizIPpDZC86j7aS35ZAOeLPjQPn54nhOXoekN1EcN2dh49f93t3FtxDm40TLcBvRvB4uZdidf/jmu/0yecfacWTy3XuxefotEmnaNjxQ9VzYA/1G9ZXx590nGbMmq4bbrpef3vxb/r2u2+3vIBx+xb9QNkDnu1p93MvkzjcJbuWDDyHlzNsIgLRYlYPdg/PSRbeUZZulxMtHAUGvCJZj8HCQBpGnGjFCzd+X2IBJAP3Yigydc7JigNix6JC1jkxZYqdXXj7wRS8Ro0ahW0fGVZkUwCmWvlGFIwIsMiRqQpM56PCELZkwhtPd2LaSoMLM0cUIQrD4YYu1wF5cwKGoHLNjwgr4d1A5rc3DsrVyz6ZAO9s+f6WcJfoT1odidf+20GeXTFwjsy4gkIOkA1kBDlyeYBAseiTaTEoGjojjqyJpE3wJhiZ5n5kh/u5F3lzGXJ5j6cFGYr/Lg1eT/Ej6UVmMZYgfU60GGXmecSNI3+l3U/adgXR4lkORrR4E8lI1tq1zJP/Ue9/8K4WPHCvpsycqG79Oqt2kxo6uPpBKld9fx1S+yBVrF9e5escoP0O+4v+Wu1PKl/rADVoUV89+nTXrDkz9ehjj+iDj/4d3v7l5GVbWaf/IqJl9nCMaHl+LC9hVMvqn2+/GLKNEEK48vKYcsQb96yw/gZg+H73w/fh+0bp5p/ClvCs27A6Z1MP1mMV5RrByivST/mWprBzGvdaGi1FRfZMS9GWstt9QHnEkSyMg/rfFi4DpSF5PLsnTJIDTIoD8AH2JxIrRMwqk88Q/BRGtDYbWSiw+s8M27CzrgQZDdPdctK0et13+vCT9/WPV/6up555XI8/uULPP/+MtdFXzOB+P+iN9SZPjKyEPsdkqdDaK+s4/OUmesX7L9psYt+TWNZxtyVfJde5z+NAR7AxFNPpIVqMXjDtPx633+vxxuMCxIMOxB5gdJ/d5JhKSByJzu/5yYznwkJGpTMtLfS7qcrNT7f2Zvqz0HSn4a0PXtcd99+mMZPGqGXnVqpcr4r2P/RA/bXyfjqwejnTF5VU+fBKOqTOwaYryqmy/eZD0f1G9tP8S+cHgvb5N59pfbqVYab19dZWc3OtjfPyw9plIdvBF6MQLGFBORiCYojSyoG2igQQpMjyw8eEi023bbRz/zAyOx1mZ2ZYXqIXvRkmB3n5pis2pOj++xaqXZv2qluznubNPlPvvvW+Utam6Mcf1ujbb7YusUgxvYKuZKqclc7PSJYTLa8PR0hvEiSG2x5wXt84ZAIbzbdGjxOtuNx5eFyoU7vOkTCAl9rYe7Vr11XrVm11++13BWKZb0S3kPWNTLu18MjiVpkGTqycZNF3RXaXI57+ZP6kMQ6/xjHefvxaHB6HO//t1+Px7gx4ltukgaCbvPh52NjFjmlGtFifzHfI1q5frQ9MX7z25iv6+z/+pqeff1JPmt546eUX9f6/39M3X3+tDetNXjKylZWx9YPN6Afi9Gd5XkhDYt7icJfsWjLwLJYq9OzZMxAtBnngIJRrsvCOsnS/GdGCVTrR4rtPZDpewPH7khVCMtDgIFo+/Ykjz2L6HSNYrG9i4T8bSaBk+UI065v4kjbbpDPaxZQ83rSz/omGC/liqJHFlkw7xMgLAleSXscvSafD88f9xOfCxm/ywrMQQoc/h7BcAzQCwgJvEB7e08mzuNcVCufxNPj57gJ3if5eXrtjmssa5NnrH3j9el078XZ/ZMMJFG3CX0BEHWtGOIeMeRzID7/jcuTy4/LibmfLn3C4+G/iI618zZ4XGXSM6AI++cCzeRaONPlz4keXfRavQ7TY3v2XEC2/znMc3rHk5rLTYlYgWq+88rKuvf5qjRw1Qi2PaqZ6zWqrbrOaqteythq1q69mXRurZe8j1KpvMx3Ro6HqHFVdVRpX0GGHH6pDq1dV02ZNdOKY0brjrtv18acfhTUXYVONnSRalHYi0YqcnfDm1O7dVGwEaZPFVZxnftYZ25EPcjKtsNCeV1jASxieaef2zJx8do5KVbalI+w6Z/nNz8zWJjPgxMeX8804CG/NrTysTCx1YcuJ3YtoWVa3C/uzxXHuZUs5by3rn8e758KkOQCSBfABW7JPtiFaYYjU/puxnpuVZ8ZSetAHGCKsJ4JoMV02OzeaGpdtfllm8POCINdIFAR8o7WTglzrc4ycF+YV2nWmqSNvpkOMFORkR+tF0T1OsuJtzduit0P/HXdb8hULSzy0U+LmxSxTjndEtIDH578BcbFcgZEs+nhsATbH8PBxF91jpWptrSDPiFVemuU1w4ilERVDdl6KMvLW6/X3XtHc82ep+6CuqtGkhsrVKK9K9Surdss6atiusY7o2lyteh1paKlm3Y5Qww4NVP2Iw3RA9QN0UPWD1MqI2dR507R4xRJ98uWnSsuOCGxWlul0vs1VtEn5Oabr86w/px5LIVqA9kqVFxoJCETLjoH0WF74GPJGXihlZSjXdB07HbJZR2G+yYORp4cXPqj2rduo1qHVNW/mHH34zr+VnZqhTJOVVGyqtWus7zAdYvLAxj9svmGxRrBnbCVZYKuMOkJ6kyAx3PaA8/rGIRO8QMS+48Uda5R93Z7bO4T1eznixxF/D4McIU+1a9VV+3adteC+B5WygR14sbMYlY3kh7Aep49oOcliW312iGQr/uj6VpncHjwdnpat8ScH1wnr7StZnHEkiyMR8XCJafDfkHV21ywqjKa1QrYzrE/Js76FdYsQL9Y0p6Sst7LbYHrGyJiVXy5rfzNylWd6JzfbjkxhNf1AvwvIh6chng7/HYe7ZNeSAf2GvQEHgGixbIkXzTwzWXhHWboyJVouRCy65y12nGhR2PGKJaPx8x2Be6k4Og6mUUG0mIcJeWIzAAw6pgfyXIgVz2S6EgYajZI5vRApDD6m6PFmg8X6TC1gaiEL9nmTRrzOxMmPpxG4MCZLXyJwHj7xfuJ1A5jfCIT/5px8ujGMcYqi4Rpx0MHh73EBnueNErgf4B4/313gLtHfyyme5rhfHPH7/ltAvqhHP6cu4zKCHLjy4py2AMHyUVBkBdkATswI77IB0XKyRRiXlV9broT3esR5mhOJFqPbtDv8eR6O5yc+lyNpJc0QLe79T4kW8QGeR3mglD/65ENdcfVl6t6nq+o0qmUkq47a9mytXkd3U+9juqnnMV3U87gu6ntSd/U/pZf6nNxN3UZ1VKcRR6kNu7LVP0wVqx6sBk0O1wknHadlK5eaIZtu9RLN5Q/f5bJy2GzPNaZkKSW9EbasObJf2FFJiRZh6diNVG0CZgRiCHL+k3X0THPit494QbzyzYimA2StGPPsGREDG/MKtLnIZMqI1iYzoDebQfGTPWyjgS9SRTPOttbp7wvLvWU9KbhWgq2upKwCSthGOJoMhH8mDwF+Tvknx9YwW5E8jb8HPH3WVkNtkV8KI2Q1ZPknsl6SfaYOFuYXhp3oaO/oCjZwYSQ0yAhGvhni+UbIi9lVz9pG2K7cjKP8HDOUMnPDVLbMFAtjRhQjLdE3pDhG/RRx0qYS9QcgzYm/487zFQ+L3qCdEi8kaWeJVjKQPvp/1mZBtI477rgdEq3iYjb2gJgwpW+tpcUMy+IspWSY3fDjZ7rwinPUslMzVazNaNVBqt2qttoNbK/eo/qozwl91fuEPuo3pp8GntpffU7spZ7Hd1fnoR0D4Tqk7iGqUKeiWnRqpQkzJ+qpvz2tNSlrTWcwQyfN8kxb/Un5uVa+uWYcFlk6A2k2lBCVUNfmOCDhgJcl/n0rKxXLh9lf1uaLCvND/Rbk51r9mk4yFDL1c/06LX7wAR3VqpURrWqaP/cMffrvD5W5IUV51pfkmlGdYwgfMi80Q5ldVS0+ngloEyAQLTt6XcSxJb0JSBa2NOC8vnHIBDMkmI2EXPDdqzjR8nr3ezlHnjw+j4tZS3yDqvphNdShQ2c9tOgR6zvpN5FpbNet93tcW3IO4TS967Anbwm3NezPnV8n7LYgTVtl2v3jfZYjHobr8bJx5/dvD4lp4TzuwnXrjKJRLWB2RA6brjETJtop09en5ZjsZqSmGUFPM9kxecnOV35mXvj+JBst8XkD+vFEG4PzxDQkwl2ya8ngRIulE3xHi434/uuIFgmOFyJHRpmcaPHBNQgMmQalFe6OwL1uQFKwNDQ2toBksXCWxf8zZswIQ4hcw/h0A9SNU4QWI9NHwm655ZZgDPLmnN3/2HyCbSExYF1I/PmeP89jPG2lwfPswsXR/RzemMgbz0SpAM7xixvFhCNtXPc4Hfz2uDyNjni43RlexvE0ex7ieXJ/DxP/7S5+LY64S3b99wb15+fkmXr3/LvMcI48I9vIOO2BcydRXEN++I0/8oI/bYcjcPn2Mk1EPE3bA87DcyROJ1qshYQs8YYJQ4fnknYc+Yw/h3Ou4U96mQ7J28v/9//+XxiF9g8WEw7gEu+Px+NH0uPlkZObo5TUFC1e+rAGHT1QVetU0mGNqqh9vyM15LQBGjlpiIZN6KfB43tr0ATDxN4aMK6H+p7eVQMn9NTI6YM0+ORe6ti3pRo0r65qdSuoxVGNdfZ5c/Tp5x/ac8wwKTSSY5325iLTFWEHOKxg0mvpM2w2i5hv4fDLkosNEuD5iEBe0DUYwVafjFoVmNFUMsIF0WLEix0K8cvLYxpyNM2DrajDltShUzS9YYYx6dlUaPojn7SZTrMH8jaa9Vms9Uj2Zvr3A2WRDMnCxoE+xOCkZK3sKD87j2D5L/lnOf4ZMJqiMB4+QvgXe4a7bZ/7WwGZcMT8MWIdRrTC1EEzGHkzXRgW+Ecv6nLNUIrWBNk5LxzYFcyMKH4XsGbPSFZedo5yswxmOEHUMlP5DIDJUSBYkfHFduYFJf2T6w/SES+XeLvcEXCE936LtDKixQ5z++67b5gmxhotwsTjjf/myL0O0kUcQ4cODcsIWLPKpy8IF3db40HvFFi50ZaYDbDG2g7tKUs/rv1GS1ctUde+HVW1vumLxofqiC5N1PXozhpkOmPoxMEaOL6fBozvq8GT+2mIYcDpvTTgtN6mSwZp0Cn91db0C98jYqphy46tdNEVF+mt998O699Y78aIIfl3QvtTmD5oZQMoIkeJC9rE0l5s94BNJQa7r0OlTtlIh1GJsJmDHRnRykpL02NLlqhD27aqWe0wnWWE5bMPjWilpCrP+hDCsHU9RIvRLF7YMC3Ryzz6x/NLfpcRQh5DvUT1i0zQn2Dj0Z9g5yUjWgDn/h6fX8O246UdZK1r125asXyltQlmBWBfmezQhuzxrNXi0xGckxo7s3MrX3SKt0H7R5z+jGQu/uworANdRfoi+HWX363ho7jj2N61XQHipp3nWR8evgVn9Y9cQbR8c6YwU8LkJNts0Yy0dJMd63eYfplbEHRHIFpJdARHr6/E5/4nwM6BY7BOnY3B2FyOzbfo95OFd5SlKxOiBeKFCZuEaKHkIDI0kqBIjDBwHefH+L3bA2EoODoORrT48CoffoPBQpRgsbwFZ3c+KplwGKAceTbgfjc2mVrFRhg33nijevToERowa0rY3cY3oACeTm8AydKWDIT355YGD+OECqMYkEby4OWFsHoYQLrIS7xRbg/J0vd7obT04E9+HKVd47fXh59z5Dfh3Pl9HB3JXPz67w3SuyMQzmUGGUFWXF5cZgG/k8GvcT9y5eUWT4OX7c7C7+c+4kRGUXzsnglZGj16dCBaPJswuHh+/Le3Ce6HaNEhQrT4DAJr0fwev8+P/uzEeADtJOTdjA927/v8q880fe50NWx1uA5tWEWtejXTkHH9dfS0wRowsaf6T+yqQdN6aPCMnhowtat6j++gXqe3V7+JnTR8Wi+NnNpbI8Z1V5fBR6hu84qq0aC8+gzspCWPPqDUlLXW2eRpc6F1JoVWjkWW1o2k0WDmCca80T4V/2RtF3PFsh4heZnSyUUjDtGbRJ+SCKKthSFUDidYHLeCt5NMBQmgvmNl41OAkj3/94OXSbxckpfRtigpZ4PlzEiklZ2Vt+XWjtE5ZW+9QPChLqyEwxFwlb/8om4c8fKJu22fvZvAjEO2dqduaYfUP22O9uR6wvuQZMCwCjrCiFfQI35MAtcfyGnckY54u9wRcIR3mSQd2Aus0dpvv/3CNDFGtAjr8eLicQDaPPA0MSpGf45tgP5hRD0xrf5cf6mxaSN5zzISmmIklG8LperTLz7SaRNO0WH1quqQGuXVrHMTDRjTR8MnDdLgCX1NZ/RQ/8nd1X9adw2Y3kN9JnTSgEl2PqG7hk8dqGOnDdfAMX3VpndrVWtwqCpUr6Deg3qHHR1/+DHahIuXZaH8rexp74wqBOJMXsnutqIXjPxNlnbPs5cdoM6Jx+vb6wrDOdVI3dJHHlXnTp1UreqhmjRxot57971oLafZSpQd9/goKL+J38s9pKfE+e/4tf8UHi8uHi9poT9hvT31SX/gRCuqvygdfu7wOPzodikbrTD68eyzzymTnRoLmAoYFTOzC8BGXlbYET9H4L6kreT3zjieHT0/krPoZZCRV0M0BA3Z2nVl+J+CtFLv8TaODLhcIacuW7lGqJhKDDgHTBnkZUzoe0rupV62lkPy5/4nwGbmxQpcY//9999CtEj/9p5Zlq7MiRaF6gLNiBbKrjSi5ffuDHBUHHEwvY+PGrLWim8JQZTYYY3pgYQhPIJCBSAY3OMVzxE/iBaEirTy9XmmHbJ5Bl/vZrc/hIr7PM0gUelsD4SjLHYEF2KewzOBCzn+/lzPe7wBcL+nbXtIlr7fC6WlB/94ueDnLn49MU+4+DWch09EPE53Hs/ugGRpTgbyGpcbjgCZcBn3a3G4v4eNl3U8DYl+O0I8XcRL+3KiBVliV8TSiFb8WX4/HT2bYWBsMXWQNsnUQQ/P0V38+TiPg6PrHNoUeWbXvmdefFaDRg5S9UbVVLd1bfUc1VUjjGQNmdpP/SZ3U//pXdV/Rhf1m95Jfaa2V+/J7dV3SkcNnNZZw2d219Ezumvo+E7qdVxLtexWU7WaHqxmbeppzrwpeued1yOiVWCdZ9iYwNKH8Wtp4yOjRT9Zuw3GvhmD1mV7vpMh3FPS7uN1hp+D3zsDD0+ZePmBZM/d08Gbfghk0WYzOkuIE3+tFKz8rRypAzv+DBBgwoTQ3BPFk1hWuPjzdid4WoHLB3JDu3Mk6oFfC5crnhV3no7EtG0P3lYBBtwvJVqeX4+H34lEi8144vfj+M09GL+Y0EzHhWCBgvxsrV33g5557kkd1amNylU5UIc1PFRH9TtSg0/rp+FTBmrwlN6mF3po4EzTG7M6q/9M0wuT2mnQ9G4aNLWHhk3rq5GmW4aNG6Rex3RX0/ZNVblWFTVp1UTnXHBuWPrA7BqflcBIEi9PwhTAJO007jzfiaBu0HdOmDiijwHPYcMkdl5GL/PZDZZ5MEvGyR7nPmvGyxIkpsF/x6/9p8ARnx/dn7QwFZR19b+WaAGWkrBRAjYjy0b4vivlTpvg6QCCVcwHv+3o5MtByoD/3hnnz96WaKFdts713d2IFvXuesLbFe0dv7guAdQNiPvF+524HEflkPy5/wmcaDGDBqLF9/Oo61CvScI7ytKVCdHCUaCAwoW8sMEEI1qQIabzeeVR2DgvdFw889uDVz6jVnwTi4bHGiuGgz/77LNQ4DyHuF3hxIWFOLiGQmFtC42MI8oHo5CFdH369Anf3PAGyJH7ERyEiPg8ru2B5+wIXmZebonAPx4u2TWQ7Pm7K0pLb2J54Bd3XI/nn/rwMnEl4H7u7+eOPa2skoE8xBHPl5eT5zdeXtsrD3fx+P15OwO/hzipA9odio9pwztDtPx5nNO+aHMQLe7lO1rTpk0LLz8I4/lw58/niPM4COdtFvB7fcoG3XrXbWrZroWqHl45TAEaMm6ghk0dqAGTe2rAtO5mLHVTvxmd1WdGB/U1YEANnN1Vg2Z10eAZXTXciNawiV015LTO6jaspeq2qKSqtctpwOAeWrVqmXIs7cX5RWFEC/vN88VmFQUb84wAFAYz3nIerpUG8uR5ID9xPQY43xl4eOBl7uUFcPHn7gmIu7i/542pVGwQUMy5GTFM1eR30caiUA+FfKeMIyOCdo5/8SYzDMzALbZ7o3uIZ2t5OeLP250RyiFW93F5SMxTIuL3bQ8enucl1sXOIP485BzQh7MeB2OYNVqsx/klRMvThWHOVCJmqmB4QbQ8vDt/thOtgoJsscNnYQFr1/L07Xdf6qbbblDFQyuE7wY1Pqqhuh9temDsAA2e2Ff9JnVXv2ldg77oPb2dek09KrycGTK7u4bM7Kkh03sbIRugoycN0dBTB6lT/w6q3qC6qtWupuNPPD5MZ1y7bm0gQ2G5Qn6e2HE0bniTxjjcv7TrlAN9oRvAbgORT/wpF0ZzILKUC5+WgZChc7GLOKcO3GD28vTnuYs/3893BYgP5/HiSAv9yY6IVrK04PCnXBjVZOYTS02QDXamJL/E72GJLw6Pl+mlwS88IwTdxiU+1+PbNl0cI3mzlHOVO0uu7T4gn9R9XF+4n/dDwNusw/1DOZXcF0eyZ+0K0H54sYK9ccABBwR7g/aOvCcL7yhLV+ZEiwJ3osWIFgLNjjH4U0ke3gse5xnfEbgfxYHRxfcQaHRs587W7rwZYhieQqeA44a3CwDP5Mg1f4vEyBbsl3UgKOVOnTqF7xMxasbziNONNRQRR+JMlr5fimTCuD14GcfvSxbv7ozS0pyYP/zc+XXqjjqh/rxOkAfqhXrntzd4wnHuv+NlVloa9gQkS3/cJYbz8ozfE48j7hKv7Sw8fo6UNXUSJ1qskYgTLe7x5/i9wOuNjp7v3tC+//CHP2jSpElb1mgRHrjzuNxxjThcTkgLz+VbM199+7XOuegc1WtaVzWaHKY2fVsZ0RqgvmN7mNHUTQPNOOo3s6v6zOqkvrM6qv+cThpwRteA/vhNMyPKDKsRU3tq5OQ+6ndCJzVoU13lqv5VHbu31YOLFih1Q0rYSGBTgZVhWC9Tkq9g2EdEy7qonSJa5IV7E+V4Z+Hl6ojHH3dx/z0BcRf331pm1g+VvJVm3QXGEWsw2KK8oNBQZPoDsOYIObGyRT7YdczvsVu2xJesTOPP3V3gLu7n6S3LdP/auP0+b/cAw5cXsxjD++yzz04RrajOt20bjIrx0pQ+HeOaPt7Du/N73fiFYOXmZJresL7EwDf2Zs2bqf3L76cKNQ5R5wEdNPS0QRoxabAGTbL2zwj4DHSDEa2Z7Q3tNHBuFw2Z212DZnbX4Om9NHRK3zDNcPi4oeo5oofqNq+rCtUqqEvPrnr+by8Eu4V8Q7SYchV92iGyV+JtnzCuA8D2yps8+X1B99m93MM5BikvvyFabHvPEgz6T/SkP8ef5TZU/Fnu/Pf20vFr4PFxBDjSQbqPOOKI0Cewcdn2iFb8HMc5+YDYYoSz3ITRTj78jw1I3onn53FQzvgjU8gXvyHC25YDYbmfMk4eT3S+FVvThtv22u8Pz4/nxf08f3G4PPrv5PktW2D7QZpZkwnRwt6AVCPvycI7ytL9JkSLtyQ0BogWQ7R8A8EbcDw8FYKLZ357IDxGGEqT6UQoY4bB+cgv67YgTRS6KwqegRDQUAG//RqNi7AQqa+++ip8gZ5G3LZtWy1YsCB8S4J7aYjcS6WhkDwPuwJxoUzmEsP/N6C0Roi/y1Ay2aAuKHvqAXidej3GiRYgrIPfrgy8zEtLx56CRJcsDCgtr8mcX/ulZePl6nVHvTAtA8VHh86HQ/mODfVDPXCPp8ufxX1eX4TDAGDHMIgW28MzzSbxHuDpdudy4vEgF0FWigr0wccfaOKMiTrs8Gqq27KWOg1prwFj+6jHKZ3Ub0o3DZrbS31nd1HfufZ7bkf1PaODnXdUn9kdjHy1V5/pZkhN7aLhU3vraBa9j+muZp0P1wGV91Hbzq115923RWtE2UAg3zqgwsjoJ03s3lW4MV+Fm01GfyraIdEClEm4twzkN+6SXd+dEXdxf8rEZZAdxMw+MsPVDC0731j8k9hGuzCOAo5mUBaY7Nnv4iK7P0z3JOKoj6Lc4/A68HTEn/974/dwPPfXyqTfQ7l6m4Vo8WIWY/jXEi3OiYPtniFaTBdjzYbfF3dRnKTD6rfY2iYfCs/PUVZ2uj797EMdN/oYHVjxAFWuU1G9RvbQ0ROGaeikAeozrpt6TjDdMK2Tes/qoJ6zj1LvuR00ZH4P9TeyxfTjwbOMaE3rqyGT+mvYhCHqe3yf8F2tAysfpCbNm2r5qhX6/ofvTfbYRh+iZTZKMemIbUBRChJl0+XSy8D7QXSgv2zCdkIvsxsjs42OPvroQD7Qj4T1+/zIPdSJlztw57/j13YFeDZH4gU40ochzfIOJ1p86y1ZeD/n6I7f5IOXfRjhFStWsL5psF566UWTt2iXxS07xhogVhH59ql90TnfWmPX1zBVoUR/EzdpoA4os3hdxEFytoK8hqQFF/3ePbC99GzNy9bzRHAt0cXjKAvQx0Oahw8fHoiW7zKK/CYL7yhLt8uJFoXrR4CgMe+X4V2IFsPUK1asCI0FYfcMujDiEgsgGVyYURYMCzIC5UPAFDIjVFxzRUFYF36ey5F43A/SRHiIFKTq/PPPDwv327RpE7Z/500T6aOyuCcYawbiTkzbrwXxcyzNJYYvDTtyye75veB5TuZP2caBn/tTh95pgLi/+3Hu9ev15XKHH9cS406Wlt8LO+MSw/E7Xk7xPLm/w/3d+e//FF6mDsqcNvlriBb1BHhZw3a+EC0Wt6JTCOP3+rMTHfF7PMgEbTwfuSks0Dvvv60TTz9Rh1Q/WDWbVVfXkZ004PTe6j2ui/pN625Eq6f6z+uqPvPMeJrbXt1ntVG3GUca2qjXrLZhhGvgtG5mOPXS4HG9jWj1VOueR2i/yn9Ri3bNdcOtN2hNmAqUp/xck718ywubUFiaNm6y803WkW+yMgjfYdmxHiGf5Dncb4iXV7wM/q8h7uL+Xj4gzMopAYRrY9FPKi7cHIFzAwQLFOSZUWl1VWTnfM8o2FH2GC97l0ng9eDpiD9/d0JpLlnYXwN3pV1L5p8IL0dv++DXEC1AvRAPoJ6wOVi7jWHO5yXQJ7ggGzHncfL9KQxpPkbLzmp8J+i9f7+t3gN7qZwRo0Oql1f34V01dNwg9be234Opw+PaqefU9uo5q516zT1K/c7uqEHndjNd0S5MPR46t7eGzuhj+qKfjp40VAP/f/beA0yLImv/vr7r/7676xqQnHOaYchZcs5RRCWjYEKSgERREEQxgjnniFkxYc5hjatrzmSYnIcB7+/8uucwzeODIoLovtRw0/10V1dXnao6de5KPW6AGrVrpCPKH6G6SXW16uH79e333yk3J1fZmXxPy/SW6Qvf1TEKb8dct+2MdxGijt/cxwBFntg6PM+RZRGM6kBA+cArmw5xjzB5j/vlPRyRZ/Rd7vx3bDx+D3CE50c/Jx6/RrTiwR3hkB4nWpUrVzKyOczapFcCkhVsZ5/HqF6442L4LcRc09nsRGm6OtgoxfR25JMaEPJwlCssb543IKqrHUQnFu7ixf2vgJ+nMbwedVH/+wO8lzLLUgM6DiBajNQyI4b2P94zjv3p9hvRiiaA3fyY7gPRoleJNVBeeT2BXhjdRZ+PB54lDJTHhx9+qJkzZwZEiwVwLLz3aYOubL3Qu6LwguD3fLcfhuw//vjj4PsKVGKUM0Yio2NeifwIog3tHwF3u7u+Jy722QOJ3cmO68g5VtYcyS8aASoOlYqj++GcxgSDGj9+3f1HGymuRxvkPzIf9wR74uI9Rzocu7seey+en3j3fwn+TFSmAFmj+CBa7PBEDxOKj7zArz8LovWJc0A+Mf2YD1T+z//8TzD1hzrvz/AO/Lvj3OHPAy8bHPML8vXhxx9o7EljgvUWFeuXC4hW/5N6avA0I00zeqjfrC7qN7eL+sztGBhOPWcb0TqzjXrYsfec9howt2uws9iQyX00+BS+ndNDjbsk6Ygqh6tN17a6/pYbtGHLJqWkpSszw96ZR3krMtYLjfzTY77dGmgjWmEv6a7yjAdPL3A57Qu4LPdlmH8WWKKsgbF0mex3MKrIyFWu6ZCcfDNijYgb2SrIZ4RrR0CycrLMwOQ7MHbclmt5w/ba9o8t0ilHlGcHv11msWXvr4Bovu8O8Z6Lxa+5eM/sDpRtr7O/l2hxRN+zWVaPHj0CG4SNuaJEy8PA7fwdDn3aP9MbZmynpibr/Q/eVb/BfYIRrdLVSqrH8G4aNmmIjp46SAOn9lF/0xn953QPOmYgWUMWd1e/+Z3Uc+ZR6j+zs46eZ3piRh8NmdJPx00dpkHjByipbaJKVS0VbIjx+FOrtXb92qBNY0vscPv8fEM4xToK0uVATtHzaPl0IAP0HnB/6F9mA7GmnR38mFqJ7cT7eSZKzPDLNWQTLRPu/Peelpc9gYeLI1yAIy1OtCCIbOKxO6IVzxEO6YdoQTIrVaqoYcOGBkQLggUgV5AsRrj4blT4gV4+qZGzk2AxtTQ3J2PnhinB1vnI1doWOvLy+KQGo2Lbze5k2qGVKV/vycYaURBV+xciEv8DDc9Pd7H3o2539zj3/Iv1s6/BOyiv7DjOB8pLliwZHOlQoOzHe8axP91+I1o4TwDEZerUqcHwNL0mKD0qC4XdE0jlj/fs7oBfVwaffPKJZs+erVKlSgVbOrKmyomWKyA3sD2zucZvQOVkJAulAtl6/PHHg6/Ho5T5wDLx5z7v83hyTvx5nmux8dtfcLe763viYp89kPD8iHfdGxVvPPxIXlJpggbJwDl5B0mGELOhCUfIFv7JI29kgJcFwvPywXt2F5cDhT1x8Z7bHUhfFL92P56fX4L7d3m6TJEzRIu6FCVa5IXXHX8ffnkOx2/OySumDrILKNu70yNNnff7HgbO4+Jhco8wAWXF5+DTAH7y2cc64dTxOrzCYSpVo4Q6D2uvXuO66Ogz+mmQGU09prY3I8muzW5vZKuD+i7oaAZUZ/Vb0Ml+M4WwswZO76lhUwdq2OlDjKh1Uc0W1S2sUuo5pLfufeR+rTeitWlLsukVpiyiO4o7d/L5zha9pHzw0hrfaNx3B08ziHd/b0CYUcTz85cG8uIbQrlW77NNb2TyzRczojLYgphee/S45YkRrdycAmUF9zOUlW7GVbBrZAHDWcE0LkYYyDuH6xDeE1v+/uyIzffdId6zsfg1F++Z3YF3er11ovVb1mjhqB8eDvWdz7TwjU1sEAxzvpuJi4aB2/kbY5iP//IphSKj+6OPPtDwEcMCosXW7p2HdNSgif01+PT+RrR6B0Srz6zO6jazrbrNaq0+89sHo+A9ZxylgbO76ui5fTRgao9gPdfx047RgDF9VL9lXVWqW0kdunfQi6+9qE1bNwftFh+XzjKkp6YpeWtysBSCdo214uyOzJRkdlVmbRIkg+UOfICXTcDYkdXBWlY+hYG+pMMbgsl6FYgKpIpNxLCZmGnQrl27QE7B+rCiNhOdybm3mcjGZRSVm/+O3vu9iDrCBTjisS+IFtMk2YEyXKM1IJg6CMnyaYOcQ7QAo1vbtkF4CwLyzSc1+E4iJJx1fJmZaUHnXZ7pBGZM5OTZPSs3YWeaES2+j2V/uyNawP79pYhWrNvdPc87D2t/gndQZhmZxYaHaDGyxW/Kc7xnHPvT7ReiFRtxKjk7hWEooeyozN5AuX+vIO48jN0BRxgoAJTM2WefHRCtjh07auXKlYFiCqYJmXDxB7xh5J28zw12FAt+eWbt2rW67LLLgnDq168fTElEsfvaLOLMs9EwYyv3QewdYiuiyxmZI3uIM3mGzMkvflOp8OMkC/jIpN/jmZ0Gtj3r596YH8zDEMjfEe/+ngA5eh0BhEXeQbSYM83uYawJ8B4m98ez+PXfDn+eNRXsKMr27oxoRYmWxxcXjYvf93zmfZQZjvRYfvXtl5ox9wxVqFlWh1c+VEcNaKnuoztq+MxBGjyzt3pO7aieZ3RQdzOU+s/rokFnd1c/CJZhwPyuwfqtQWZgHTt9mIafPkwdBrdXhQYVVKFuBY2YOFrPvfaSNiRvUXIK3+Chp5Sy7PExXVRoDTejWWzvu4dEC5AuT/NBhHAXvRbIiXKEwUxPdVaGwdoEKwN86yXDkJnJ99RMPwSECyOJj9iH07MgW7lZmYHBvcOMr+1mSLExgeuMqP6gjEbffRB7Bxz5hlwB9dVHtPZ010G/B8gb6jvrtlm/zTpP2nRGxKPPeVh+HnzUF6Pb9EQAy//Pv/hUp0w+WeWrlVOZGqXVtm8bI1oDdMz0oRo8vZ/6TTP9MKur+szppF5zOqj3vA7qNr1VsKZz8Nzu6n9GV/U/vbuOnjpQQ04ZYM+3UuXESgHR6tijoy6+/BJdfe01uvqaq3XlFVdqxaWX6YJl52vJuefqnHPOCdaNs7093wtlxg2zePhY7xlnnBHYV3RmMzpF+liqAZhWxxEyQgcVm5Ix9RodDOj4hqzwMehGjRrplltuCdpQZEb7CbzNdb0ela/LzF1UhvHg96Nw57+j/tz58zjqmm+GQdwZofz222+D+x6/aDjuotc4+mYYZcqUCcjmSy+x5CTV0knHC8SSNb1MHWTmBeXR6jmAUBmR2uknkFG+Cky35xdsV05ufhHRYoo6RytHhfnQLCNZwNJi0YqHSHSDeMbC4/9nwZ64eM/tLyAfdAb2BUSLqYOUc4gW1ykfUZshiv3p9gvRcngC+AI3CiFKtLiOH0+0+3fnz+4O+EcZAHp3rrnmmsAQ42vhKCCUsRviKAj8u/LmnGtUWBQIvUQQLNZhMZyMUkIht2rVKiBtrNmiZw2//izhRBXPQfx+xJYBzzPyCWVPfgKuka/kCfnP6CV59P333wekmyO9f/jlOfxyjl/yDJJGmJxzjXPe5e8/iL2H1wkH18gDnzMN0WL3Qe9h8jzGn+cBz3EN8Jv8Yeoga7SYOkjjyCiz+/d34/zcwyMs4uTGcAgM6RytXf+jrrhupRKb19cRVQ5Tw04J6jG6s445Y5AGTe+lATO6a+CcHuplZKsPuw6yXsuOfWayA2E3DZrVM/A7Yuqx6j+mrxp1aqgK9SsosVUDzT13gT7/7kslZxjJ4uONgfFOL2jYYIdf2Dd98lPBbyZaB7ErvAy482thvjP1ygyd3CwV5GUFIxTIn17ndMuXTVtT9e0P6/Xpl9/qm+/XKTktM8gvdAZ6JS/XdIg9m5dj+t8MpmB6kJUlyqaXLUC5isbpIH47PB85uozR2xAtjGGI1p5+R8uPhIOeiRItCAmjO9HnXFfhOA8+9m1GcrgZBm1Httau+1FLLliiCtXLq1TVkmrSuYn6j++nY6YO1ZBp/YPR7f4zuqnf7C7qO6ezBszvogFz2bGUT0N0Ur+pnc1fHw2Z1FfthrRRzebVVaFueZU14lYroZY6du2ko9q3U+vWrYOtyxPrJwSoV7duQCgqV64cjOzx2ZkoIKEckREoXbp0AP/t/jj3MDBAOaKP//GPfwRAv15xxRU7207aSTolaWcp317eXbYOl6G73d3fHdxFr0WfxfFufuNoT9jF1ke0okTLn4meexgco/kM0WJLe2QwbNjR1ia9FNiSpD0sf6Gdlx/sRrpNWVaOtqam6TuzFT//6itrP8wuzM5Vtun1HCNYeQVmk+YVKjMrz64bSbV45prcfGSrcIfZjAGsjbS4hTugRoiWnRdFLXAed4enKZquPwN+zcV7Zn8B2ZB/zJhh5gzf0aKDl6mElGPykzLs5Sn67P50+51ocaT3GaKFkmOedCzR4jxaAXCc/xIQFgJFeIxesHsOOxpS8WCwDC3TUNJgoiSijSPv5Tf3uIYy+frrr4Nh+Ouvv16dOnUKpjixpoQKHTS4Vmk8jjy/u8w6iL2Hy9LzH/mSP+QTYKQKUky+kx/0vLG1P1NFr7rqKl1wwQXBJiYcb7755iDvKHtMtfCyQr4DwiYMJ12ep9H4HMRvh9cLB9eQN4qORaler+IRLfzz268BzskfRrR+K9EC3CdOwPM+RL5SUrfq6eeeVLe+XVS+dmlVa1xR3UZ01MBTe2vg5F46ZvYAHT27j3pO6aBe0zpq0OyeGjjLyNfMHhpq14+e1V/Dpw0JvonTru9RqpJURRXrVVKfYf206rEHlcKUktwcZTFdLReCF6YpJFmkjXRvs1iHcjqIvYOXG3dcI7+p3/RIZ0B201PsN500Bcq2cvfDuvV66fU3dNMdd2vpRZdp4bnna8mFl+raW27XU8+9oP988YU2ma7JyGQNRoa1MSnKJJyMcKScMkT4Ud3h5f0g9g5elzkiX+oKentviRYgDPTM/fffH3yqhc5edihm11Jc9J0ci6+Z/mJ6GCMSRrJYp5Ocmqw777tLtRNr68jKJVW3ZT11G95VA0/qr6OnDdTQGf3Ve0pX9ZjcXr1ndNTg+d01ZF4P9ZnWPiBZg8/opeFnDNSAk3qpac9GqlC/nEpXL61SlUqrZNlSqlSlsmrXraP6CfWDeNY2NG7UUM2bN1OTJk3s2FwtWrQIPmED6Ahu06ZNsDNy+/bt1aFDh2AmDuns0qWLunbtGpBLQAc3thfrsBx8K5ROL56HdKFfaTvXr1+/i20FkGG0jCOjKFx2uNj7/P4lRJ1f4zl/F87rOL+pd9h7yIANyxil86mD/s7Y+oiL3uec9WmM8lWtUkVHDx2iF18M1+KHNoGVvSwjSEaw0jKy9dU332vNCy/rhlvv1LKLVujspRdo+aVX6pa7HtCal97Ql99t0IYtJq/MfNMvBUa08uzcyk2OhWH6vmC76YvCPDuaLWrnBduNxLH7qamtQouenf7qiJbH3eP/Z8GvuXjP7C8gG8ouRItNt6JEi3wN29/4tvv+dPuNaHlCODrRYjE7m0tAtKJ+SaRXClw08bsD/mnkEB4Vj5GMBQsW7ByJOv/884P3Mh2QhhHhc+QZ/Ps1nufIiAiVl62jIWtJSUlaunRpMO8Zv2SOO97vcfffB/H74WUBkL80tuQXRxQgypRGAOJLvqIoaRjYYIWRTO+1I/9Y3MsOl0y54IOXlAVGLL3RIFwaEq98vJs8jsbnIH47kKHXDa8fyNcVHz2qrNXaHdECnhceFnnlRIsPFv9WokWYHp6DHaLy8nP0n8/+rUnTTlGdJjVUrk5JterbVN1HddTQyf10/OwhGjK9j/qc3kWDzuit4XMGBYvZB9u14TMHGskapD6jzIAZ2lWN2zZSmWplVb9pgs5cOEdf/fCtsvJylWVEC5KVt5Nkhe8Ov8li5U0HidbvhZcBd+Q3Op76jd6ghz45JVlp6Wn60fTH62//S9fcfJvGnHSamrTtpIq1TXdUrxugRmIT9R92vJGuS7TmxZf08aefBp07KWZko3PotKFjjrz0NoU85TeIlseD+G1w2XH8PUTLgSNv0DP33ntvQEIgMEyzQ3/gh7LCkbCijjpayDodI1ms0ckwbLUy8PLrr2j4yGODLdkr1K2oNr1ba+CJ/XX8GcN17JlD1W9KD/U6vaP6z+iqo+f1Up8pHUx/dNDgaT00dFofDT29n/qM665m3RsHo1lV61VVpx6dNOy4YzRi1EidfOopOn3yZM2cOcParoVmg5yriy++MOhIpBOYqX2333677rjjDt11111BulatWhVsMMbacr45xtorOhmZXufw32zsxY6v6FNmCWCAXnrppQFhY6nEvHnzgtEhL9scATo41F3F8oqFy5zjb0Gs8+v+Lhzn/h7ykxkS7AjN2jJGtLANcNzHb2xccR6mw3fDrmJtUt/efbTm6WeUawRpW8F2y/Mc0xtpWrt+s1576z1dvOJqDTlmlOomtVTFGomqVLuh6Y2GqtWwjfocPUYXrrxJq59+TZ99uU7pWUa28rZrS0q6Npv+yWaK4fZtytlmpL0wR3nbc410GfGyMlZg7GqbJRFAtqLScDk4PP0g9t6BxK+5eM/sLyAbyq3bG0cccUTQsUt5oRxTLrxsxMpxf7p9TrQ8sdECjVKLR7SiCfythQeHwBAqoDFE4WB0M4WQHhuUEtMWXVFgVDMqQoOJse4NMQY4ioedERMSEoKPqjKPGeXEfZ4lHe5i4xH9fRB7Dy8DHGloUaiAfPOFvxg55B8NBvPU6eWjEW7QoEEACBbTLmhQIV4Qb0Y4L7744mBaKAqZMAiT/Mcg80r3W8vgQfwcUVkCHPXUd3iiB5IeJogW9RY/GFQ8G1WAHAHXfw/RAh6e+w/BaGm+tqZs1F2rbleXfh3N8CmtWs2rqN2gFuo/sYeGTO6rY84YoJFzhunYWUa6pvTT0Cn9NfjUvup7QncNGN9LHfq1UatOzVWjXjVVrFZBx4w4Ro8/vVpb01KUDpE33cOHcAu20fh7HDhC6um88W+z/DzeB7HncId8KU+ULTpV0BVbDWkZpkM2bdXDq5/WKVNnGsHqrEp1GqpsrSSVrd1YZWo1Uomq9fTP8jV1WLnqKm+kq+/QY7X80iu0+sk1+v7HtUa20oxobQn0B+WJcsm7KLe8FxcvbgexZ0CGftxXRIt8og2BlLDZA+0Btggdb/gh73Du3922oqmDkKzNmzcGRHvTls364usvdetdt6luw3oqUfFIVW9YXV2GdtLRpwzWsCmDNXR6fw2Y2lMDIVaz+2rg5K4aNrOv6ZKe6nNCJ3Ub0UFNujVQ+XplzEivqfGnjteDjz2ojz//RJ9/+YV+WPujvvr6K33//bdWdreYvZJitkrKzjYLeVC2OXobFgv3Fw/UCe7T7vGbqXKQNEbD6ARjdIjNM9wPeeB6GHlHz+MhVo44rsXC/YJ4juv+Llz0HaSf9gPizAyJE088Meho5x7PAG9L/B0Ov8Z9bEOmkTKi1atHLz328KNK3pKqHCNKaalZlufpevzJ53XiyVOV2KiNSpSrocPK1jCSXV+lqiWpZLWGKlG5gY6olKRq9dto+IjTdMmKm/TmO//Rxi2Z2rQ1XRu3pijNZJlbmB8QreyCLDtm2++QbOVbfJxoURKjdD827lEZxN47iBBePuhMwE6AaDFyi73I9WjZiJXj/nT7hWh5ggEJcqIFAdoTohUrgN0BgSE8lBCEiPcsWbIkGAqndwZGC9lCcUCsULhOuFA4XMPwhu2y0JQ5vxiCbBFPjxE9O/hF6fMu3onz97vz3wex9/DyguOIgievkD0kGkCIWUvnQ/6QKuZX04DyEUrW091000268MILg15LejIgXzQg9H7RSDOllLLijRWNiTfq8eJ1EL8N3pCRh9FGzXd4YrTRh/LJA/x53XIF6M8DzsmfKNEinN9KtKL+ANP3WHvD91G++f5LzTl7lhq1TVCpGoerTutqat47SR2OaaW+J3bTkFP76dhpQzXs9EEaesoAHTtpqIafPFh9ju2u1kayKlQup7Lly6hbjy66/IoV2rBxvRG4ZG3emmxxZ6TDGtNC5OFx4Eg6DxKtfQF3nFN+qMtuSGZkZCotPUvrN6Xp0adf1uSZZ6tpu54qWTXRiFUDlavXSpWSOqhm8+6Gbipbp6XK1mymf5asqiMr1lHNxBY6dcoc3f/wk/r2eyNbKalBe+MdQLwraowexN7D6yjH30O0or/JF8K47bbbglEbOnvZoRgjm/tRvR91AdHalqfMrDStW/djQHoyszKVbG3HJ599qhNOmahGrZqodLUyqtOijlr3aWkkqrORrYEaPKWvBjH1eOYA9RjfVmPnH6PhU/ur7cCmSmhXW5USy6li3fLqf0w/3X7v7fr2h++UYWHTLlFuedfatT+Ib3fl5tELH5YxZOJtopc7zp0QoT+j/mL9Igt0LqD8Ihc6niEtdFDTTvJdKdavQdjwx/PRfImWc/8NOHfEyjLq3xH7XPSZqH937g+QXgxppkfS/tMesLsi6SWd+CFs5ME5Yfm7om0N9h1loXat2ureubvuuOUO/fDdOiNazKDJ0ppnX9HxoyaqTkILlaxQx0hWbZWt0UQ1GnVUvZa9VLeFyaxBZx1WpakOLZ+kw0rVUbOWPXTGjEV68plX9eP6ZKVl5iolI0sZrPPcnqes/MwismV5UBiOdG2z+BwkWvsGyIZy6+vvIFrY88xWo7x7ufDyEH12f7p9TrRwnmA/0nvEzjj0JjFXmIWpsQmMJjpWAPGAHwSGwoA0oRhoAFEakDrmLLM9O/OSqUwQJz5sjJJmswTmaDPEztQzRjwggYyCwH7Z8hRlQ2+Pj2hFK63DXfTaQfx2IFcv+O6QtytNGgPyl7xgm2+mAzJlgIYBZbtixYogv4IpPuaH6T2MflEWFi5cGPTWURYw1CHU7DgFyabcUPm8oYoXt4P4bSAfOXr95JyjKz6+Tbc7ohVP+QHqH+T6txCt6Ln7i/ovtPxmR7m8XDM2Mrbqqecf1/hJo1U9qZJK1z5clRqVVkKHmuo4tLX6j+uh3qO6qdvwjhowuo96HtNVjdslqnpCJZUqe4SOPPIwNWqYqLPPWqD/fPKxtmzaXDRNlRFTDB2MCuLh8SGdPnUwbF49rgex9yBvvSGlPlNucnPzLH/z9OF/vtfkWYtVr2nngEhVadBRdVr2UcOOw9S85ygzlMerWfdRqt92kBLaDlS1hp2NjDXSoWVqq2LNJppz1gV674NPjbSFowboD/QShmjUmI0Xr4PYM3jd5Ogy3Vui5fcoD+QXHa5sMkEH7Pz58wPDnPueZ7s6OnfyjGixYzE71qZZXqfaeYHSzcb4cd06PfHM05o46WTVbljHylMZVW9STa36NFef8T3VbXRHdTiutbqOPkpdR7VVywFJatS1rmq1rKzy9UupmumY3kN7auW1K/XpV58pPTPDymg4+pqVxahTajCKlpq2Vfl8DLcwnN3hJIn2yvUsiMqN614HAOd+H5Bev845cmare3Qy7Sn2D1MKsaWAk61oeNH3+vsc0XdF/cX63V38os9wdOe/OZJ+poY50WLkAhvTZeNhkz4P398FCId72Hfs6NigfqJaN2utlZdcobU/bAg+Lv/xx19p/ImTdWTJqqqT2EZlqzZU9cT2at1tuFp1O071Wg8wXTFETbqOVL22Q1UxoZMOL52gww6vrsSkdpo1e4lef+sjbU3LVrLpjNTMdOXvyA9IFvAphPk7rJz/xKiWtwTFzmXhIB2O2HsHEQLZUFf4hAG7E7NGa+DAgcHsNDrGvOzFK3f70+0XooXziJMYJ1p8w4IFmixM9QLjLnoeTfzu4JUGReyjVQgQYxv2yvoqRrZQHkwhQ8GyKJT1IWzlidKFXEH+2GufczKGYXSMdCotldF7hQg7GkdcvHgdxN7BC77LFZkje66RDzSWVJTHHnssmBpITwV5yNx18guChXFL/mMA0UhwZLMM/JD3fIeFqYbsrESPJg0b5Yd38X5/90HsHXDkF+eeb8gV+TJ1MJZoIXv84YdnYsuAg3IAwYZo/e1vf9tjooXj3P1FEcQrJ9fKzRatXfed1m78Tg88fo/GnjZCzTonqWbzyiqXeKRK1j5MFRuUVY0m1uC2MLLerLZqNqquSjXLqWTZw1WjZhV179JJ5y9Zordff0MbflyrjNQ0a7B/DOb7Z6Vna1sBip14hHGDaLEZRrghBiTzYMO5r0Deoqspc7QJmWa4fvv9Rl1/60Pq1GuEDivXQIdXaqJqjXqpaddRatP3JDXsMkaJHUeqWY8TDOPVps8JSjxqqKqY8XRImQT9vUQt1Uxoo0suu9bKyoagPKKLCN/Lk787Nj4HseeIypH8Q3/sLdFynUJZoEPtxhtvDDZPYC0vn4Lhe1Pc5x3+jD9PfWSXuHwjWnzjjinG4Tbf+WZrpAdlIDk9TWtefE5T50xXYstEHVL2EP2t7N90WI1DVbl5eTUwYtW0dwMldqqpI2v/Q4dXs3tV/hZMTx42erDuWHWbPvvqU23aujEYzUpLg9TkWrvFSBJLHdgWPNuQFRCt4rgVg/STTtJIOrzNjMLl6PeRJ6A99XaStUoslWA2DxuBMVpE+QZOXgjLZRX7/lh4vsT6IZ7RuHq8uBZ91p+JhhO9R5zYvptNP5g6SLvCrCWug2i6PSwQDQc/pP2qK65Uy6YtlFingRYtXKLvv12vL7/43myGW9S8VRcdengV1ajXWrUadlTTDoPVZdAEte49VrVaDVKt1kPVrOcJatX3ZLXuOU4t2g1RlWrNdcSRNdTmqN5acflN+vjTb7QpOVUpRqTztjN9kGmD2XZu8dxhZP6nvz7RisYrHuI9s7/A+yiv2AvMesK2HzBgQDCoQn57GYwtX2B/uv1GtNyRAIgWU7kgWvRCQLQ8oe6iCY0mfnfwygPJiu4qh3JAsTLCweJRdjpjugACxzhHWQN+s9MOU8sYNqeXC4KGEsdgZ3MMjPeoIuC9UefxiMbrIPYO0UqJvMlPKgbGDEqTRoGeNsoR+RedAkLPFLtGMk+btVz8Jg95HsVL7yXb/0PMDjnkkKBMkNeUHVfI0Tw+iL0DzvOQI7JFrjRqsUTLF6d6vuOQv5+7Iyye/71Ei7Bjsc3Czc7O0NfffK7Nyeu1YesPeurFx7Tw/LnqeXQXVW1QQSWrmq6oerj+Wfbv+vuR/6tDS5vRVPqfqlS1vNoe1VJnzpyuV154Xut++F6b1q1XRkqqUrcmKzU5RempGcrOpMOG9xGPMG5RohWSrYPl7vfCHedsy4zRmpaWrs1bkvXOe//R1DPPV40GZjhVbK6aTfqrQYeRath5vBlKk9Sk5+lK6jZJjXpMUsPup6hhtxOV2GGUGrQbrgZthlreN1blOm00+oQpeuKZF4IPULN+IyubKVhm1OWbARpsGWYRCI5WhinHAYH28llcTg8iPrwuc3S9jI7YG6KF3uE+YdB2YAtAtNjkip1p6YDDL/ejYYRhml4x45dvH2Vkplk7EX6TM5gBQeeM5X1KWqrWbtyg5199UZNnTlGrji1VvlZ5/b8j/59KVD9M5eqX0aGV/6GSRrzK1Dpc1RtWVLdBnbRsxRK98vZL+vLbL7R2/dognPXrN1iaWDvMtzzDXe9yg010soLpi4WmI4gncXPHOWn0tsvbL8A94L+RJToUWdIeun+eBZAUvr3F2nS+pUXbiD+/D1yX41zO/o7dvT8ah+j7PD4cPZ+jzzuiYXDfz0kHHXXRNVrkJwa2pxG7gXB5xp8lzjzPdb9/x213qHuXbqpVtZZOmXCavvz8O7355gc6+pixKlepnipWb6ySlRqp4VGD1OCooarTaoiSOo1Wy76nqvXAyWrc6yTV7ThKjbuMUdP2w5XQuKeOKF1PpcvX17gJU/XUsy9r/aYtSjVinpWbYeTdCJahoDBX+dtjiZbJNJBw6FzOUXk7Yu8dSETjFQ/xntlf4H2UA2bAsLGdEy02REMPUBa8rMXGbX+6/TqiRUJIUHREi14IdsrhuvuJTaj//iXwPAJF+TGKwc5SnEO2qLwcUcgMGbJmhx4bSB7bozLS1b9//2BdDzvuoMhRNhjokDaMdEY7CIN3uJLxuLqLjdNB7D2QrQNZozCj8uec6R+MZvGNENZf0atFzyT5BiDGPqUH/650uc4aHz52Sa8dW+Uy3RByhh8UrschNl4HsefAIUNXYhy9MWUonzrIFE7yjsWpNHauB/zZKDxc/PE8o87xpg7iPAx/JhbRcAF5npXJN2JStTV5o7Zs3aANm3/UZ199rDf+9Yqeev4xrbz2Ep0yeYIGHd1Xbc2QatO+hfoO7KmTT5ugy6+8VC+9/Jy+/upzpVn54uO2KUawHOlm5GfSO23GeKwOiUW8+B5EiB2/AvfHN2nsEHAdznPzCoJvl63fuFX3Pvikeg+ZoJLV2qhUrY6q326EGnU7VQ26TlJit2lq2GeOGvadrwa95yix1yzV63K63bP7XSYqod0oVW7YV+Xrd1aNhu113qXX6NNv1uqbHzaYEc4sCgi7lWGItJUpu2ARMBh5DvATI5aUcUBeH8zvXwKOOkH9pM5AOthJj05RZiTQucbamthnor8BeoUwqHO05RAtdiNmXe955523y3eXXAdFwbPoHdZlsaU/nXa0K9gYKdbG0KZsSd5qOmOTPvrkIz3y+MM678KlOn7ccerap4vadTtK7Q1DjhuoU6edpAtXnq9HnnhI//niY21O3qQtKVt2dgj6TAzaIsB7QV7wzbdiIgWIK+DcZQS4Fk1P1A+A2NAWootiw6QdZIo962fRz3SEk1aecf/+DLLhHS6neO/j3O+7n2gY3Pfn/JnYe/4OP4/qT9LBsgBsSeLMyAWdrITBPWRIvD08jlEZeVj4Y4bMmFGjVbN6TQ0bOlyvv/62brjlTjVt01lHlKutinXbqEaTnmrRY7xa9DpFDTpNML1wipr2maYmfaYqofuppi8mqn7HsWrQfqSadjpO1Rt0MXKWpNYd++j8iy/XZ198afqI737yuSE6j7OCvM3n8wE7LP2mE8wCUYGV45DKhi4qw6gsQOy9A4lovGIRz//+Au8jXykD7733XrCjZKlSpYKN8dAhTrRiy5hjf7r9shmGH72QYxSxbmpfEi2AIkARY1yjqFCGwJUPygoCRm8Ha0QQNlMDYbfM8WXInAqKIiZzUKKcc3QF4z0vnkHxXLy4HcSegzKAbL1McETu5J8rewgwG50wDZRyBGmCSNNYUQY83wBlINpgATbRoNyxcQa9YPR2UAYgZF5BeVds3A5iz4HzvOQ3R+oQ9Yf1kRAtGkbWAbApCfnCfX+WI8/HgroJ0WIUMzqiRfjcj77fz38NjCTxXaX8AisneWZMZaYEOxBu3LRWGzb9GJCub7/7Uu++/5ZeeHGNnnrmcT33wtN67Y2X9f6H7+i7779SVnaaxd8aTCuf2VYGM6zsocw5Uq6IN2mk/FK2KGOx8XUXjdtBFMOk9XOY6KJAkpCr4nMph2/ZZOXpq2/X6pLLb1K9Zj10SIXmKpvQS/U7jFNSt8lq2OtMI1fzVa/HfNXqPl+1e5ylhD4L7bdd7zlDid2nqL4ZVrXajFCpumY81Wiu4eNP1yNrXtH6rZnBFs75+WYg5ZkBGhAtM5OAGVCy8mUXQkC2fBv/37zxCWVjfyLeOw8ccNQR1xvUI9pt1uJEidav1XvXPdQ5bADWXTOixYgNn36h7fAwonrEHc9Sb6m/tCXEg3aF9oU6DtjNks8GAD478sWXn+udd9/Wiy+9oGeefUZrDK+/8Zrpi/f05ddfasOG9UbSUoJvs2Vlh1PzCBPSxpH3ue2CviAO0bhxdHAdkL6oXol3D3h63JaJgg3BLrroomDGAESLb1DSrhIn4uHhReMTjQfXHYTn/h2x7+NaNJ7+24EfwiKuHLnm5/hFr0K0WA7AKJyPaPlzpBPgz/MOG9GBrUg+QnCfeuopnTTxpKATr3vPnrry2ut1xtwFqpXUQkdUqqdapjfa9jtJbftPUct+Z6hh92lK7DZdDXvOUmKPM1S32+lK6DEpIFsNu01Qs+7jVa/1IJWp2VyV6zbVmAmn6YWXXrG4ZCkn2+zK7EzlW7zy+Xi96YoCU1b5ptXM8giApnBHfkYRlVHsvYMoLvvUWdYdsos4RIsZa3z6YHdE649wf1mihSNsFAEKCyFSoQDXqJicc48KFwWV0CutC57McUPdDUDC4dyVE/5iXby4HcSewysH8MLv15A/+UXesnkJ0xtKlCgRjEjeeeedgcL0/PH8jxItnuU+4dCYMfWQdXhspMHul/fcc0/QCON4H3kcL44HsWfAed7xmyP1CDjRomFkjSQjzeQPeYM/HM9EywDgGnnI1EEnWr69O8+5H3+/n/8yCJv6XGBGuRGg7UaEjHBBnCBcgHMIWHaOkaas1OBYsI2F6fQ0ZwX3eIYF8pQ/b9i9zHlj73AdEo0vcBe9dhDFMGnFh4kuSrSix0IjPTm525SWnq33PviPzlywTIdXaqz/KdtMFRsNDMhTg+5T1bj/AiX1OycgWZU7zlaNrguU2HexEnovUEJgSE1TUvdJqt/5BJWs192IVksltuqq5VfcqPS8Hcor/MkIthlLuVbetxm7g+EFZCuGaPFh6oBoYUbtrY6hjOwPxHvXgQV1xPUGOp0ZJ060vIMt6h8X/Q1c91Dn6KRj6jizWSBay5cvFxtieV10fQXccY9nqbduB9CmYE8A4kVdd7JEu8M5/tyvkyc/x4/bJLFh8QzxJS7A7Q3isTvncfZ4+znPAA/Lw4uGGf0N4bjhhhsCIsrUbmb5QL5oM0l71C+IvpewiDdych3n74gF91yWHP0Zzl1OyIhOU9p2jt6WQ5BoqwGkljU3fCcTckh7APGi0xzw7VNmKGFsM2Wd74dhaNPes/skpJvywC7FzLRiXVqFihVU08hWz3791aZTN5WqXEuHVTTi2bSHWvc5Sa37TzOidaaa9DpTjXrOUWNGwHvNVj0jW0l9Ziip15Rg2nFixzGq12aoKtY/SiWMqHXpPVB33nOfxT852HipwMrMtlyzP/muYoGVUYiWtUd5ptWA0cogL3FRObusHbH3DiIEsqF8seEZW/czdbBXr17ByCVlKLZ88swf4f7SI1o8SzhUVjdyqJT8pvK70UNFjlVi/HYFwX1XmlElSCVHCXKfZ3hfrIvG/yB+OzwP/bdXBEDeoexZL4dhzu6Q9FAw9YyKhFIm/zy/XFlz7mUBEA5EjJ5QGlnW5TGNhOmDNNqet9F4HcRvh9cHz0/OvZ5BlJxoMWeankTPM+TvYXg+cHTghznXbGjz97//PdiCGOLt9/3ZPQfPUc5MJwREy3RE0chWTm7GThLl1yBZEC/AfYiWky6IFulDRzgok65XiHusDoqmLX78DsJhEto9rMhFQQmE6xQab8/L367UtCy98vq/NHHyXP29XJL+t0JLVW1+tJGnU9Ww14xguiAjWLV7nqVqXeerRveFSjCiVb/XAjOgZqlet6lqZAZUo56nqVxSHx1asZFKV0vU3EXLlZazzYjWDivDZlzau7Ybgi+O/irR2tVQ3XPQLu4PxHvXgQGOI3WEuoJeQEdAtMqVKxcQrT1ZowWiYTA6c+WVVwafb2HaOKM3bKAU9evn7vw37yAM6rPXZeC2BeA64Jpf92uANgg7wsmZ6wlvo/ATrw2Kpi+ei/qNuuh1wogF6eV9nm4M0Pvuuy9Y88SIFjNHkDH2D+n2dEbl4PqMaxyj6aRdpr2l7XZyBCC8kCRILoSIUSjWWMcSInalJj50pt59990BWDbA9E9I0tVXX60FCxYE6+0g4E2bNtWpp56qadOmBaMYgI8Y005gK9DeMKpB+tjin7XatP8AW4AZLkeUOEIljiypMuUrqkTZCjqifHWVq91U9Vr3V5Ou49S89xS16DdHTfvMV5M+Z6lJ/3OMYJn+MLLVZOB8NRs4Ww26naI6bY9X7ZaDg11Nj6hQVy3addUVV1+rdWvXKS8HomVtRoRoFZoOYepg/k/bZS3RQaK1D0DZZI8GygP2IjuPM5ON8hjbBuP/j3B/aaLlICwE6AqMc8L19/PbBRwF11wZunGE8nMlgcJAeXCdcAgz6nh3NP4H8dsRLewckbPnGUobksUGF8wbpweLRdF8H43Gk/zxxg1EGwVvyJx04Rclf+utt+6cq0+D8vnnn+9s6KLxOojfDpzXO35z7vkJ0WI0EaLVr1+/YPoueUM+RWXPM7HAD6OR7Bj2j3/8I8h/FKnf92f9+ejv+MAPOsAMBRYkF5rxY6QqOlIVXOdbJ/Y7SrY4ch+SFRy3hfqGsuf6x3WJX6P8UcbwR1pj9dCexfn/JkwyBv78PAIrcgByBaLn2wrNgDSi9eyLr2vUxDN0eJXmOrxmR9VuO0KNe01Wo94z1aDPXNXvvUD1+yxS3T6LVbuXHXufo7o956t+j9lGtKYZyZpmxtUUVW4ySH8vk6AjK9bV7LOXaWNKlrLzWA9geVpgZT6YPmgvtvxVoZGqnxEtux5MHbSYx0nnngEdua8R7z0HBjiO1AmvJ7S/GN9MGYdozZs3LxhtwZ/XG3cejodBfQO0IYxeQLLAZZddFrQpUb9+Huu4xnuIT7SeU5+p197WOLjO0d/Nc/zGr5Mq1w0eHn54R9R5fDxO0XNc9H70Oi72HmE7XLa8m3MchApDlJEdpnaz4RRTtWkvGVlixAuSxAgThAl5cg8gR/KDUSQ6v9DzrL8lzx544IHgQ9G0uXzfklEkZM8ndSBKM2fODEYdmMaPTmdHaEgR7TyjEMSHT7Mw3R+CxIgbuwZDlDj6pmaAT/NAuljLRxoYmWPmCr8B7Q6/WaPNKFhCQkJA0LAFmjdrbmihtm3bqXHTljq8VHmVqFhTVRLbqGmXY41ojVeT7qerWZ/Zpjvmm+5YqEZ9F6m+6Yl6Peao8cCFaj54gZr0nqoGncapTmu2e++gIyrWV5PWnXTeBRebnfGlcrOtrBi25VgZyEVvhESr0NojCJZdMQ1RXA5+KR9j7x1EMahvcA5GK1nPzxRTyDtl18t9VI5/hPvLEi1/3kE4rrT8nisUV3hci4bPM/h1/xxRhD6S5cZRNHOizsPw8A5i7xB1yJm8orJAjlDqAIXNdD96No877rhA8TsRxj8NHvnvDR3nXCMf8UOeUtEoeyhqRkcWLVoUEC1vLL0cHMTeAed1it+ckzeAESnm0tPQOdHyToyo3HkmFuQNvZ70YEK0RowYEYxo+n1/zsPA+Xl84Jd3Wp3+yXRGEdmCWAF+M9LlZMqv+0gW97kHAWNEi/ijI4inlz3XORzduOI3fj3e0fgfRHyYhOwP84M/fseBZbkTLKYN8psPRCenZOipNS/p2PGTdXi1liqb1FsJnU9QQyNaDXqdoYb9F6hBv7OV0O9c1eu31IjWYtXsfpbq9JivpL7zlcioV6/pwcL3yk0G69DyDXVE+Vo6Y9652rA1S6kZjHAUBmu0djCixVCa5XGAnUTLzoNdJTFqi2IcJ517B8r570W8cA8MvN66zqBuoCOY9uO7DmKg/xLR8mteJwHrcy+55JJg2iCjWpdffnnQUYc/9+vPejjuon68Pjvwz9HrPefuh9+0K/7b2yauuT7gelQfRJ2/1+Hp2h2iLt59QBjR+HDOddpRiBYf9YfQ8gkevjfJNDvaS+T/zDPPBDqbcwiUjzIxwgSJXbZsWUCCp0yZEqyhHTp0aLAJARuQMdWfaZt0bjL9GyKEAcwygCOPPHInWQJcp42HNEGO+DwP4BnsRwgUYUCSaA+ciPF9Vs4xqlkDPHLkyGAGBW0Om2UQL0gdU09p99nin01RKBeXXXqZYaWuvuZ6LVi4WLUSGunQshbH6o2NaB2nxl3GqWGX09So+0wldZ+rBqYjEnuerTpd56lW1zmmQxaqGWSr3yy16jtZSR1HqEL9Tjq8YoKSWnbU/HOW6oMPPg4+95GXaW1KlrUfdNAwEm56KtjYJ/gL9Zy7ePnniL13EMWgbDNSOmvWrKA8+U7ndBrE1jn8/xHuL0+0OLrgECLXYgsiv6P+/Ddxc/g9v05Y0Xt+PxruQexbeN4jayoLJIleNIgWih3FTe8U0wGY+uFkGP9egbwBA4yYMC2ChoRRSsIiHBoUGl0f0XKSdjB/fx9wXof8mtcfdn1kl08aTCda9PL6ffzGPstvQN5ArMgziBbb87ORDX49z9wv5zgPY/egQbPnf6LcMH2QkTW2UjbCbSRr+w7WbxWRsG2sywqnEfIB0dAP5QV9Q3yJNzqDsocBQ5gYisSPshleI34Ws50gHtHzg/g5LFd3GiDhH9d2BRJkMwwnWyC/YLu2bE0NiNZxRrT+UaGxKjTur6RurM861QylaWo6+Gw1GmQkq+8iI1nnqKYZTzW6MR3oLDUdeLYa9p6lxr3PUPM+01Uxqb+OrNZCh5Sqpikz5hvJKlBqeq6yzWDKNgPqJzOYdiVaECzDT4AyAtEirsVp+2VYyn4R+LEQfzdi33vggOMY1QmxRAsC4NP+ovUd59cAz3s7gH92HmaaGCMhTCNklCb6TPQYGyYgvN3B7YTo85xzzdslv+b+OUb9O6LvBPiJ9RfPRe/vDoTjMnFiyDXaRjYcgbBAfAAdkUy1w15jlInOTcgTo01cwy8jTBAe9DKzDdhQgqmHdKZBkgD6ntEmRpDwh3/ygGchYJA6doBmNItRLWY9MA2Q6X+MSABsR6aMkvcQbUgSo2LkKdNAIXqMmEEMWYcFaWRqOp8QYW0wbQftPFMVKQvYE5B1jsxcSk1J1eZNW7Ru3UY9tvpptWrfVYeVq65S1RqqRbfjgxGtxt1OV9NeZxrRmldEtBapbrezVLvrfCX1W6RmA0xfdJ9sRMv8dRunqo16BB88b9y6ixYsWqYPP/ok+BBybgZEy2SfY2XAiNaObZa3QUeMkd6iUW/LzQCxdd7bk7A8/Bp+nv//V0C5Zo3emWeeGRAtyuuqVasCohWte16v/gj3l5866O8gHATs16Lhup9YBccxtgc6+hy/XRnFwv381vgeRHxEZUoe+WgUI1H0PqI8IVhUHAgX0xRoIMgf8tDzjrx08CzkCn8QLhQr87x9njaKmu3heT76/oPYeyBH8s9/e31j6h89izTCvt1qlGgBzkFsWOQx+c20H/8OmhOtqF/Pwz2rk/jlvdR7iFCIYN1WAIgUZYo4MbrFiGd4D38FBfRK5wX3GanwNV9hGOFzwYhZ8HwYro9qxEP8OB6ESdb+TI47wR/Xi0GOF1JWjGwxmgXY0Ss5JU3Pv/S6xp46U/8o30jlGvRWvY5jlND1JCUZgWo65GwlmYFUt9dCI1pF6HmWGvRZqMb9FqhBt+lqZv7a9JuhCgl9VbJKM5UoV1Mz556jrNwdRrLYIrpAOUa0AoOJ9VkQrIBkWV6DIpJFeXMXL527wsLa+dzugJ94z/514bJxnYCDaD366KOB3odosQ05I1T48zrvLnrN9QbtAGuCMMwhAxj5TGHD6Io+Ez0Cv+fwcKN+Ym0GjrE6zME9b6t8BoU/6879Rp0/6/di77vDTxRR/w7Xsdz3NpLftLN8KgUSxUjSP//5z4AwQY58yh2/GU1iPROAQDGyxOdW6LhkJAlCRhvNaBLfTETfs4EVUwQhSUuXLg3aXKYPXnHFFUFbzEwV8pddaCFF6Hm2m4cQkc+02UxP5EieMSuFo09j5Byy5DNXkC3wJQPImc5YLwuklyP+ucd1vrtXULBN6elZWv3kGrXt1F2Hla2qI6s0UKOOw9Sw8xg16zlFzfvOVaOe89Wgx0Il9Vqs+j3OUb3uC9Wo/xI1G3hO8LmIJt0nqkmXUarRBKKVpGbtuuuCi6/Ql199p1zWdWaZ3LOt3ORa21NEtHZYvtDh5+s4aQ9AbJ2nLQmx6/X4+Hn+/1+Al22+ncoOpXTQMAWVNX//9USL72hBtOjZ+DWi5ed7AlxYUYqH8TnyTsB51PEM13h3rLCBV8Zo3GLPo89y3cM9iN+HqEzJO5QmI1EoRBQpW7GzuxDz9OkJYyoDvZL4RaG6MnVFy2+IFs+idAmHBbhMF2DKAWGg7GmEo3kcjdNB/HZE64z/BlGiRYPOAnfyDb9eX70hjA2LfI0SLXpXmUoYzS9/D+d7VifxH5Ijh5Mjh5Ok/HxGPBk5Df1wjbVZ/I769fsejl9zv/yO14CG1+LF8SAsl+zPZPkrRGubkRufNshUnIJt25WekaU333lfU85cpCNrtNSRtTurWsthSugyQY37TlfjAXNVr+ds1es9X4n9zlFC37ODzTEa9lmgxB4zVb/TaWree5raD5ypigm99c/SCapWp6mWLV+pLKb+FO4w44kpYWY0m6G2Pb/AeFWEaO2SzweJ1q8B53WeI86JFova95ZosbEDU9sgDkxhY7rb7oiWn+8OUef+Ae+Lwv0TB/+N8+tRuIueu3M/0XfFPoeL9ROF+0e3elyitg6EgzWvECQ6wwEjS4wIsKkEm1DRuQV5og3myIgTo0uMKEFcIUysy2J9FtPEsfnoxET2ECWm+tMW0ybTHnOMntPW0xkKuEYbTvtAHDmnHNCme1vBPa4Rf9LCb/fvaeI5fjt4nuvYAnS++u+sTAs7lzV3eXr2+ZfVb8gxKlO1jg6vWFf1W/dVgw4j1KzXJLXoO1uNezJ1cL6Sepq+MJJVr9tZath3kZr2P0ttBp6ppka0GrQ/VpUTO+jQcnXUvF0PXXX9rdq4MVn5eduVZ3ojGM3Ks7zZSbRoMwpMb5n+MMJFewBi67y3Ld6+/DKKy9f/JVDeyWuIFtNE6aBhZBbO8V9LtEgIiWK+JL0aUaLFPZwn1n/7OcdfAuF6pdsdos6fI2zA83uCPYnLQfw+RB0yJ++oLChSlDMKEYWN4qeHggaTHkoqDkqWIwraFSdHrnOk58tHtei1Y/445ZAtxh966KEgfC8PxMXLxy/FMd51/82z7mJ/4+L58Wt+7oi9736izu//GRB10d/kJ0SLKSH0hLLWzokW95A9+cYRF32WNJOPTP9g2gm7DkK0GNFyeXCMPrtn4NnYxmlX0KBBqn4Je9bo/Rp+nvcHEcJKvf1ZXvwM/HHfjEYzVIB/xDjHiE9e/jbl2vHTz7/WZVffoqSj+uuQys1VuUk/Nex+YjCqVa/bJCX0mqlGA89S40Fnq0E/I1y9Z5sBdYaa9T1THYbOV4uek9Xc/Jat1Un/c0hVdek2WPfdv1pbUtgxk7IL2TK9Y+/6iRE14gGphoQHRpHFtaicOqJu12sc0Q3FoJc7Pih3u+qWWMd7HdH3+zXXeX8mECePFw6jGz3N+h1fo0XnWPSZaPq87efcDWx2m128eHEwHY7NDxhJYTSE56Iu+l4P778FpJU2kXPSiVz4zTm6F6IFqWKjCKbzoZ8hR4Apd4wyQZiQPUSXTk7aXCdAhOHkyNtfwHu8Tfb7gOcgPMBJF+dcxz/Pehn1POUcEBZ+IWeex1zzsD0+/pz7cUTjAzIzskIY4frgo481ZcZsVa2bpEPKVVfjToOMOA1T464nqkmPqWra08hUr/lq0nOhkrotUGK3+WrUa4FaDVygFn2mqlGn0arbaqDK1W6lstUbqv/Qkbr3wceUnJphcbe2jA6aXNMJ+ZYv26ys0R8T6AiIFjNrIFveLsQHbQ4dd5y7nvBrHEPsWvejzuXIvVjn5cWd//6rgHSRp5RZppgyDZYRLToCKMteJqJy8Wf3p/tLE61fQ9T5c4TtwE/09+4Qfe9B7Fu4fN25zKkMKEOUKY0tZIl52Ez7w1inl+21114LphVGe8JciboiRoFzj4aCbWGZWw5Ro0eOUTKeicbF4dccURfvOuf+bNTFezbqx8OJ984oPGzOoy7W34FE1EV/U8/4Uvtpp522k2gxdRCFSD5zn3xzuUSf5Rr5eaCIFo3XLwE/8Z79bfjlvP+/DCv19md58TPwx32D+XOiRcnJK9hmRKtAObn5+mHtRt378FPqNnis/lm5sUrVbq+EDseZkQTZmqj6RrYa95ulJgPnqoGRrqSeZ4Q7DfaaouY9TlPjjuNVu8lgVa7dSYceWVtjx5+u997/j5VdRt3NuDTDKdfes83et32bxYEy4eUiMHgsrkXl1OHu59c4UgfCssl0Inq5wzWDIQJjzEDPd7TcuPPfvDMWfi96P3rtzwDqMeAch35mxzAMJh/RiiVaUbg+4dwNa2YysAECJAKixTejvIMNf+6i7/Xw/ltAWp28ICPk4kSLI8s70M/YaMz2YI0TbSh6mXYUAoQ/J0nobsKIGq0cHZ6P3Oc5QFgOfz/nTnoImyO/ue/heJ76e/iNP8oG/hyxYQN/lqPHhfu7vDMnT3lWh3PzCrRxS7JuvuMuNWzVVkdWrqXazTopqf0Qte5zslr2nqJGXScrseMUJXSaHqB+x2mq33mKkrpOUkK7UarfeqhqNOqm0jWaqn7T9po+5yy99d6Hys5j50kjg5kWP586WGAyCyY5kC46TyBZhqATxduGnyNsc3b18/P2qDhPOEZdNK/i3Yte899/FZDXlAHq/Lnnnht00DCidfvttwfTT71MRNPuz+5P95clWvj5NUTdb3kuFtH3HsS+RVTGsflEhfFpBSh9piSwc5Bv0UrvJmQJIuVK05UujYE3CvRoslMS39WoXbt28E0Nvn7PdZ6jjPJOV+bx8jzqYq/7eWxacFF/OPfn1/2ZKPxevPtci7qo3z8LPF7ukCtEa9KkScE8/yjRcpmTZxxx0We5Fku0jj322N0SLZzH49fB87sH4RYvQI4Hb9TsSOO4N9jZYMaL30FYDtifNYy7wGS/k2zxx1RBMzQoD5b/nOdgiFn935qartfe+Uinz1qkKg2O0uFGtqo37a2kTscrscvY4GPEDXuepqb9pqtJn2lq3IN1FqeoWbeT1LD9KCW2PFolyjTRYSUTVLd+W116ybXauiXNyut2ZWbYOzL5lhplgTJDWaQRL0a40N3TQ9mMYte02hUDdYCyTPkgTfnBhizhTphWXww7fsoLSVhROdy1zIblknWCUeMr1p8baLFxONCgHgPOcej9KNGil9o3w4gH1yecu1GN0cVzrClibS4ddv/XiVbU4OSczSL47hA2Guuu2KwI2bsMXa7+rIPfnmcuT47ArwP8ReF+3T/X/F0OD4N7HGP9R4mV+3FE44f/aFhc5zknW/n5vM/CK9imTPv9mtkZx4wZqxpJjVWqRqLqtuyh5t1GqWnXE5TU4UQjVBOV2OEU0yGT1LDL6cHW7y16naZGHUaobvM+KlerpcpWb6TuA4fp+lvv0I8bNwWdP5kZ2coynZGTZfHONjnkW7wKLU1B3QzrezH4vRsEnSz+2/I02DkXPVE8IoYuieYF5+6icoxex/k9d/77rwLymPLAZidMF2bKcfv27QN7j5FYLyv4defP7k/3lyVae4Ko82uE/VsRDfMg9i1cvu78N0cUIUSLqYE0jExXYPcYFt6yaJfeSXoqGdmiYkW3fId88Z0PpkTwHQ+2eWXXKcA2tExlYzqh94rxTsrq7vI86mLvAX+OMPgdz59fc7/u3xG9Husvej3qPOw/Ezxe7kibEy0WVTvRggh7mrxBxEWf5dqeEC1/Fse1PwbkdbxG8jciCOPnZe4gLF8DQmVlw+QUgnOuRWB+89nxkVEtk2hB4TYjWdnKMEMxLSNLX32/Trfe+4h6DRmlCrWbBdN6qjXpoVpthqh+h+PVoOs4NeoxUU16nhRMEUqCYLU5RrUb91WVOh31j3/WUrnySTrxhOl69ZV3lJe73VBohhNTlZiiRPnzcu9lwhHNV+5TpkPsmlaAX56hmztEOKIFycrZiZBoYYg6icJwMDkUnTvB8umtu/Z0Y4RRV/xdsXE4sKAeR3VoLNFiCqCv0YoH16Ocu+HON57olGNXPDZuoD2gffBn3EXf6/f+W4BMkAdpdLLhsuIIGWVNCx2RgHVxtLkQEScs6GEIij/v8vVzrnuYUfj7o4h10XgSRjSc6G93+OWaG86cexh+jzhxdP/Aw/O4k57cXL6laudGhrLzcvXVj9/rqltuUo9Bg3VohaoqXbORqjXqYoRrkOmGkWrWdYJadD9ZjTubTdF+rBJNX0CyGrQeqKr126pUlUQ1aNFBM+adrVffetvIW47pJ3ZBNqKVaTrDiFZejsmQ7+9BtHap83HahzjwjhhGweiM4XMj/lkSH+0mrcjGQbqjMuUa58gFF5VR7LW/Cjxd6AiWl0C0qPM33nhj0EHjZQK/7vzZ/en+q4nWr4H37AniPXsQ+wYuX3cuc8oNSh4yBGHyKYIscrz44ouDebfMuacSsfZnxYoVQbl6+umngy/MsyUwlYudZ/j4Ib2Z+GfBL3P+CZNGHGJGAxKNT7w8j7rYe9E4U8ljrzv8Gv6icCUIfsmvX486f9efAdH4+RFH3Nm8Ikq0fI0Wz+Bc6eOiz3ItHtEivKhM/Fl3XNv/QGGHjWRsQ/jbQJkJ03EQUVj+/oxoOdkC4f3t5q8AQkHPsOV9oZWLHDOYMrIylZKapg2bk/XRZ1/pvIsvV/f+x6hGUhuVrN5Epeu0VdWmPVWjRX/VbDlQ9Y86xgyp4arZqI/K1WirkhUa67ASdVSzZksNGThWDz/wpDauT1Z2JjsNblOGES2mDebnh0ZbMVECnHueUh4NVkQBRRXsvG7/UX4ZdQpJUbEhxTTBwu18UoCPaBt2ZBURLjZnKd5kJR52t5bQ3h4g/B0r8wMHHHKgXvs19DOzEZxosXMdujv6XBShHEO5o1PIFzZlYHtwCAS923fccUfQrrh/jv5udx7efxPcyEQu3ua4vDBCfXoluwzy3SE6NmkjncxASjyMeHBZepiO2HhE/XAe6/y++40NP4rYdETvxbvm4BmeJT05OXymgc94bFfetgIlZ6bpw8//o/nnLVFia9MV1eqoVPUkVajbVjUa9VR9I1z1Ww5RrSb9jID1Us0mvVSveW+VrtpY5ao1VIPm7TX+lMl6cPUT2rBli4XJtER0Ragv8nJNX+SZJisgHlbu0BNBfd/zdqRYP1jeBJ8gQUeERCvshAllRvrIN8+7WCCDqIyiMvO8+CuBuJMmJ1pMHWQUm+nCrDH08oJfd/7c/nT/p4kW4F2/hHjPHMS+hztkXqwAc4JeNUaqUPosYOacbzKxTSxTATG+2bYXwsW24WwvC9jsgkW9jGCxRS1Hdktiri7TJAgL4kZDghKKKut4+R51sffw74rbFVf0Gsco3F8s/H7s89F7vxaXAwnizBHHuTviDTFiq1+mDvbo0SPYoeog0XLY8zuN8oMohuVvXKIFuBbe327y3w6RCP6svJksGeGCaG1J3qoNmzZrc3KKXnn9bV1w6RU6euSJSmjRSWVrN1OpWi1UokoTHVY+yYyplqpYr51KVWmqEuUSVLlqE9Wp3ULjx0zWLdffo++/Wa/kzWnauiktWJuVnpYV9FJTPgsK6EkOScyuBIayWAQrovGIFqNhlN/wW2yMGPiaLKYM5mhbIR/KNoMXFGbYEbBmhk0H8B+OWsWSLidZsSNau8LjeeCBC+VQrAMhWhj9fNwWosV0INZaxHse+HOc04ag2+mcYyMl7A866PjWEuG6f47+bnce3n8TvC1xAxs5+5GOzPPPPz9oJ/lWJd+bhNAiJ4gWssFfFC47hzvOuRdF1F/s/XjXCT96Lfa9u0O8ePm96DW/jn/kwc6hjDoVWp3IK8zTlowUPf780zpz0dnqMeRoVUloosMr1VOJSkkqafqhdLXmAUqZ7ihTzQhWjcYqXTlBrdr30ilTZuquVQ/omx++U/72fKuzEC3qK9Mc6ZSxdxrJMtFbHTcEWszyoUi3/bx92D2caDGiVTyqFdZ5L//oJzqtOTr4Tb7iJ55MkY/n5V8JxJ10McOJ8kwHja/LRG94GcKvO39uf7r/80TrIP4ccOcVAQXAFECIFsoeUuTfzaDCMCWQbyPwQUOmErL1N71xkCq+80FZ40v0fBiR7cSnT5+uhx9+OFiXRXiES6+mKxzAeyl78cpf1MXew39sIxb9Hb3mv/1a9NzT7nHwZ2LvRV1sXA4kPN5+7o54R4kWX/FnxJH8dX+k0c953h3XaBhiiRZTEV0ese/DeZz2L9xYPUi09g8sfwMz5FeIFsTCjvZE8AfRYvogRGvz1s3asHGDthrh2my645333tfNd96ryWeepR6Dj1ej9r3NiGqlkpUSVbJyQ1Wo1Vw167dR63Z9dfxxJ+vMM87WI/c9qW8//0EZyVla9/1GbVi7JSBaGenZysgIN+DBsLHSGkFROwjsvwB22YnWzmsGiBZlmQ9b8xmB4HMC23JCMlVEsvK3pSsv3/RVfqpyclPMcOO3kbx81qXuSricaHEe/V1cXqP485Q7HPXYdQFARzNd3IkWvdSQgt09zxFZckSnkzdR+4PON8JjSjrO/eL8iOP8vw3elkTbGz+nA/OSSy4J1mcxLZ8OSSdatJHkBf79OZcbiHVc8/yLwv1H78e75vH0d/h1f6//BtFno/e5FhsX9xuFX2ddZy6f8LC/fCMryVnJ+nrDN3rjo3d07R23acwpk3RUz4Gq27i9ylZtqBIV6qmUEatKtRurTlIrNWrRQYOHj9E5Sy7Uo088oy++/loZ2RlG3BiRDtdYMqUvlLdpsG0h0Qq+cW510FJrsPpqiN9G7A5W54umDqIznGxtM/3n5d+JFaBzk3YXcI/4xMp0d7L6K4C4k27/dh5TB31Ei/IcWz5w/tz+dAeJ1kEcUHheu+M3QNGiGGhoIVm+KYaPRLG2iukOrM+67rrrgrn7p5xySvC9D6YHslUtZY4e0DvvvFMvv/xy0MtBGD5l0JUNoHL6uz1OUURd7D2PL0qLcDj6uSN6zRVcFNEGjPA4eoMTBfeiLjYuBxJR2UXjSVpYUwXRYtdBiDEfoCYP3Z+nzcNyx7UDSbR8y/B494qNVSdaHPcCfzKDd//it6TTylNg+oRmiAOzJITlv4ERreDc5AjpYq1WTn6eUtLTtCV5i5EsvuGzxYyMLG1NTda3P6zVi2/+S9fedo/OWrZCE6cv0LEnTNGwMadrxPgpmmzk6pIVN+ihB5/W+2/9W+u+XqfM5AylbUkzkrVZWzalKCcrT3k5+YEOCet3OKJlpaUI/BU7S85OohWcR25CtCj/EKY8phjlmV4qCFGwLSsgW/nbMpRXkGYkK1lZ2SDFkG5pyrRn0GN0GKFXikexQpJl8MXzO8sr9QZw7c9T7kJZhLrU63Ys0eK7Tcxu2N3zHP1Z17XYH3zHk+9DMZrOmi/ak6jfWBcN978FyNXbIM7DMhe2TbSrK1eu3Em0brnllqBDEzlhnHue4Bd5AcL0476Ah+vT3sINXX5ZNxY/Uwy/90v5yMY5TDVmmjHndMwwxc9+Kc/ISkpWirZaPUsryNTnP3yr519/Qzfffb/mLjpfx409Vb0HHqd+Q83WOPFUzZi7UMsuWqGHHn9a737wb63dsFFpGWnKzstUfiHTfUPyU1gY7qYYfCB5m73TyNa2QoOlb5vVSbQb/xeTqN2AjXCo00V+2QAjCDvonCkiW0VEK6wDPpIF0WJbfbbSN31i18jPUNaO4rr3V22TqPPYesx64nNA7FTNJx245uUXf+4459r+dPuNaHmhB1Gi1aVLl2AkIqxAxRXVj7Hnu4OH/UuI9xzwe7jotV96BuyJH8dv8ftXwN6mJ/oMeY7Cjt4H8cLGH4oAY5xRLIgR506QvIeGhphvbDEd8I033ggIFV+YxxBnwws+dMt9Gg22iCcsjpAtwneS5fH6pXTGlpfoOc9TiQHnIFRyYfgO7jvR8t9+jL4bWfn1UAGGsvP77jwOfzZE48k5RClKtFhsTX66HuDoz0Sf5Yi8okTLt3f3Zxz4jT736+CZKHa9T5g0xk62AvCu4Jwj76fchAiNVzcMQhRfC49RRP3FvvuAIkIGwmuWhxH8zH+AiB/7r/h6NI0gNt3IMYRJxWB1385DKoUpUTSGZc/R31tEqQx2bsYGR9ZoBb8tLwqNWBQYwWAB+pa0VG1JTVFaZpqRkjQjMJnKNGKSa4QkIydXX/2wXu9+/IVeeusDPf/av/Tcq+/quZff0Tvvf6avvlmndUaqMtOytHn9Jm38cZ22bjY9ZPomAx1k+mObEaPcXL6nlW0EKMuMqXDHLysdBv5MVkFZLIITrZ/J19JjcXaiFRCnghwD5InecNMhZkDl5WUEI1mQrPSMrcrITFF2DvrQ0mTpDacloWfC0a1wswy2iwZFhllQDkM9wnd9ivPpzwHihZ5znUenGh2zhx9+eADW58YSLa/7Xu9dLyALdAezH9hRz3ecZWaDd/K436iLhv1bQVhR/NyPvYv3BWCBDgjrgfuxMyvNxeD3rmHsHbxdok0B3kYB2kU+4N+oUSOVLVs2MExpMyFZtJNRXRt10fDtVwTEGr+7Xt/pHx1h2GFlMJDTTp3B77Cchp0FVo6tnjPBzmUUhmX/27nHKYyfhxEiuEd4nJt/EOgWQ0BuTPYFTNflaO/Mt/cVmh4vsDrDqFaG6YvcwnylZ2cpJSNLP67fog9NX7z4ytt68pmX9NSal/TSa2/p/X//R199+6OS0zOtbhqZMbskKyfL6qbZGHSWGPGhPqMrID2hzMkH01mW/kKLZ6jXLA2B1ouQKuVHUFSPvdMkSDvpxjbgcxZG7ILOmZAYF2JbWPnPzTV7qahDJtBVdp6VZbqETTqKbBEvGzs7ZwLwnlDmfxWQ58iXTnhGaJndBNHio9rMZiK9QXkzv+78uf3p9jnRwnnEHd6j5EP3EK3ijKUChcqRoz/r578H8Rxh815/h8eR97sy8ef9nt93o9fvR/1w7s79x4b3RyPq+B0vrrjoMw736yAt0fzC+T3/7c7DwG+UKFDIXWn7fYdXdq4TJpUFIsUzTrAgRw6ueSOAH/xCwKLXucZzTDVhcaR/uBg/3OMdXhaiafk14I84c8RxJP6EF01TNL3cI17EnQaM+LDTEws0AVMZ8ePxIDzi6c8DlxHnxGN3Lja+fxT83ThPh59DlKZMmRJMHYRo+Rot0uTP4PDreYLjHnJ0ovWPf/wjGLXkt8sFvx4HfvtzvwyeQY7FsBjbn+VvERgZKbC4FJr/7Q57V3jfyoA1RMHaIJ61xo53e9zNq8HC2Bbml4P7hYXF8XbjwNOL898coy6M9+9H+N4Q/I46fgZR4XIRgmuGwu2kPwTGi5+HwIgxc6jIX2Hgx2RkRkHYeIdysrsWoJ3bb7nc8WPA2MC0yLN7uWZ05NlvzIs8e1eO5UUu+WFh2tMB8cqDgJgRto1n7bcj3/xlG0FJy8lWcmaGUoxoZZuRk5sPTE+YgZGelR0YT2kZbJphxCu7IIJ8ZWaZ7sjIVCpkbSsfbl1v50a8shhJSjUjiil8jDAxhY/1U2xWwfSgMJ3FBkoov50okq0VF5OLyS0oB6Yjd4RTjLYVhtMAQ51mx9wCbcvfpuQtW/Xj99/phx++0ddff6rPPv9I333/hem0jabTUoK6FHwQNS/UmxheEDTWef30U769tMAQLqInL3h3rGF6oOHl0esKv9GLfGyUen/EEUfo0ksv3Um0uO/+cB4OjuvIEJ3Kml42TOL7iQMHDgx0j+t/f9adhxGiKM92InrP8664DoUkgfYOPR22LUxjBd5Jw1bewceTrIzK/AWgbnCtSLNY6bGcsjYwKOf2HsLmrj0ffR8uGp9fA/Hxc/QuIA1cZ+ogM0PQsUy3uvzyy4N2CRkF6YikNYrQIcNdEXSRMOpideHn9xGm/bNbhQVWn4107Ci060GY1s5ZHQh3zjM5MhJk5TiQSCDbIjmZX+IUHkkb8SuWC7oa/R0AIkIIlg95lpZcyob5oUbk2zV0CvqkwOoufkLdZtcDGVm4Vq/4jENaitkhadnKSDcilZGnbNMbOaYvcnL4nMQ2IznFnau024wgMdIckivKYlgeo7IP8pR0F/3ReYcOCesqCDSgXc+1I7EOZUq67dFg18LtJjvekZy8xfRS2KmUlpqizRs36btvv9bnn32sL7/4ROvXfWP20KYi3ZURdNBkG4kkruG0ZXSQvS/YTCNc8xXq7WK54vj9Z4TXD8orRIsyTMduixYtgnPsLfLGy03Uxf7e1+4PJ1oYWUwFQBiA++6fY+z57wVCdcH6by/k/pvC70qXa9x3Qx3QiAFXzl5ROPdr/h7C4OjKifBcJn80oo7fxC0ePL6eJlcUHKPgnueZhxlFNCwPB/kw/QDSQPjuz+8Bzl1eUZlxHvXj5xAqH9UinrzL4+6/PZ5cxy8Ey8kaeenvxE80DXsCTydHnL/H38uRuPn7uEf6+Vo53ydh7jDTHMeMGROM8rBok+ksn3zySWBYEF/iiEFBT6MTQ8LhXR7n3bnY+P5R8HfjXD785rg7ooW8/Bkcfr0seLjkFb3STrQY0SI8/EbfA/iN89+7B8/wjmKYZGnCdwEkK6/QypA1mDk0RNZoQyC2mSGVlWN5a/f8fbybuDMHn8afRhrDNxbhLnWUk7BXEwOZNLjzdBFm1O0a/70H4Tv4HXX8tOTtAuwXyBO7crEFcp7Fn4978kFgduviPJgGY36xl7axBsEMn5Comt4o2rQhIFzWiIcNOcfQaAL8WYoxIwKClWP3QLbJO93emWrlP82MiUwzCPIwnswPJCu7IEeZeVnB0UE+FdhzGFHZ5j8tJyvwA9HKK7B8zLNnjGhlZGabUZJnv834MmAshTADyowkCBkjYOmZKUbItgYjSayRyt+WVoyCDEsro1nhluvF5SmUbSDPWJBkO+IwHPPzGRHLMLmyo2Bo8LD2i+2fC/K2ae0Pa/XQAw9qybnn6PRJEzRu3HAjDmN0wYUL9fCj9+jDj/5lOiIj0DvJyUyrpqPJdCVTlyx+7Fb400959jZMS5d56KLl4s8CL/8cnWgdcsghwfRBdpf9rUSL7y+ibyFagwcP3vkNP9enUedhhOB3FNF7xfWdYwjqPm1ROIWT8ClHIDBmLS47zH/Isq2kW1nckZ+jn6yOFG6zc64V1QPzqWwLL9v856NzuGNxBbzbXWycfglRXRvqqeK4086wjgUdy05tyBlj1ds0/Pi7owhdWIeLEdbkoD4EZCEscyHBxwawcEJvJgbzkW9yNN3CCM12kx/1ACOfToJwnSKfNEBn0F6HYfFu5OufVtgZFXPENZgSaC8hJpAs9DgdMDmWLznI1K5BW8KOHMiX1XnLB/xss2fRc8EHho1U5WdZncw2nW3YlmNpyLPw2TUwH5Jo8bB6ih5HVpS5KLhGPF3OsXKPyhQXnhcJJ5Aduwjy7TwQEi3zZc9amkx2+aa30tIyrZ4kKy19qzZs/EEf/fsdqzO3atl5izX59JN1wvgRmjp1gpabvrj3vpv07nuvasvWtaYDUwNytnXrlsBOQe8g91DekCxspNC2jbpofHH++0DD5Yu8WaNFGWbNPkTryiuvDMqzyz9evd+fbr8RLS9EIHZEC6IVW9CiBS56/ntAOC543uXXPEP8/dzHmKWwYZD7RgkYvF5hMArxA2lw4sC1QIHa84TjiIYfG6c/ElHHb48f8XUFym/3H41/VFk4/BkP25+LPs+zHr4rGWSFLPlNOMiPKSFORPjNOdeQO3J1mbocPVyeR+aA8+h9wvd7+I1e9/zzPONabPr3Bjh/B+C9pMnjQbowDGjslyxZEmw1n5SUpMqVKwdz4Tnymy3P2diD3Z6Y8kjD59MckQuGAXH19/l5PBcvnn8kcC57fhNXiBEfm4ZooQPYDIO88PLkz3H09Pl1ZPrxxx+refPmAdEaPnz4TqLlcL+cezi/DJ4hflGE4dj/ASBVzN3nyPQ0ehsxopiKQW8ga34og8SPvCePKOeAc+4BzkPQeUP5LSZbwfSRwFgozk/O4+Xxz9OwdyBcB7+jLvQTxmFXhPWPaTGZRfXZQTkPRuksupCyoEcYIwfYs8H0S0NoXUWAzDG+AvlaXTeZ07uctb3AyFVuAIhVmhmq6faOTJNlmr0vNTMjIFP0VEOGcpliZ0YSJCorl+mBRqgwdC0skG/GQg7TZlj3ZAZtOKqVV0QS6YneYcbd9p1EC+KYZ+Hnk9cWZo6RtJy8DPttxHq7EavtmQF5Kdwerp/inBEpjMrYsoQs4wHHfQzyXIhiTrq9G2OHcpITEKYff1yn5597Qeedt1T9+vY0PVFTVauVUMXK/1SN2iWUkFReHbs00bTpJ+n6G67Um2++HuiMrVtTrA1LtXwKR9xY51W4HUMtNHyJn7swjn8OeHxcdwDaYtbY/vOf/wx2EKNnOjp10MunP+vh8Kzr47ffflsnnXRSQLSGDRsWfALE2wh/FufP7ymK68avA5KVl2OEmrKbka48OuCsLG/Pz7NqYO0QBAQiYXnDTnVpORlKzkxXupUFOnqCkXRDvHjsKXjencuXaxxZo8XnUJo1axYQ2ssuuyxY0+LtpPuNF26x4zys25SxcDSkmBj5uiF0HiRlOzvv2THf6lye6UXyw/UrG70wDc47IMJ1R6Ef4gG5Qn+SJKLg4D46iW/o8S097zDJNjln2TnItrrNqHkwcm5yh2DlFJougCSjqywg5L3NyFahxW27kRnHDtMTYLthW36hCgzo8lCnF9tJXvZibYww7vHz0l14DgKNaPGBdEJ+GG2i/qI3rO2w9ENQ09IytGHDOn351ada9cAdmjtvmnr0bK+GDWuqYqWSKlnqUDseofqJ5XRUh0SdMGGYrrrmIr39ziv66utP7dn1gY3B+q0C049hpxEdY6QH3b5rGqJxxUWvH0gQR8opcodoUYaxr7AbIFrMIiItnp4/0u2XNVqeYI4glmixXSv3o5XXj7HnvxeE5Yoi9pobQW4UR+EVhqMb6RjNEAEnWv4s/qLh+ztAbDr/SEQdvz1OpN2VgMctGle/7+mPyolr3Hf/HKPv8/dwjzB4lud4HjmGBmcIN0iBEy78uOyjcfM4OWLj7n78fTzvfrlGuP5+D9/DcBCGp+WXEOuPZwnP38n7Ae+hAXvuueeCNQI0YuyMyDx4dsLhmy5sS8+Wuny7hG99DR06NFiHwHozng0aDZMLYUXTyTt356JxOxDAET/iSXw5hxghA76jxTpN1miRH9zjmahMuea/OSJTdAg9U6zRwlhijZbfjz4bPf9l4M+NYkckHJo4ej+tYeYbTcF6LDMaWDPD6EFGBh0C4Zx74keco6AskD7vZOA8m/n79JJi4McQLuLtjnOXgbtd4/77QLgOfkdd6Ic00CBRR4p7kkk7U01Ie1YW64JIPyMDoQGEIeXxDmRA3TMZBj2lJo/tyMn87AgMSzMi8AtBozybgcPaiXx7T5aFl2HEKCMvR2lmJG2m8yvDDKc8M0BNT/BtGsiWE2F2F8zMNp1s5JdjJlNizGjI5532DqZ35hWYwRoQLaubkBmTPcgvsPdaVWJxekiy8GvXLd4QNMgW5Cy/MMcIVvgdq/BbVhCtcFdAeoALd+z5iJbLGXkhv2D3QEsv8qRsUWao+xCCKVMmm75IUKXKpVW7bhk1blZBzVtVVNsO1dS4RUVVrXmEGjSqpK7dW2vx4gV6//1/BWSLMhdMDTKDfaehaoYTI2Zhfu5ab/4McLkEeVYEOpr47hUjWkxpw2Bimps/4+nwZx08S5kEb775ZvDBer6jSCcN+hh9in7Cr7vo83sKL+uxbYlfw4ClzhRgsLLeDn1hZbrQ2qEd1kYU0jZa+c0zP4zmoGfoNEgzkpxCPUP/UBepM0X5tbdxBe5cbh5/CC0fcqaNYi0cm46wthk9xn33Gy/MXYEfD7e4jUYWyDxsG003ZlndyrG05lq9s3M2l8kvIiu00cGmMEa46CzIymLnwyyrn6G9EE7HDolWuIMfeY3MeWeRrWBgVAvkWz2j4wWylWF6gTVXGRaWk64s0weZ+YyGm36GhJnfvKK45ueSZyYDiJbp6u1GrArtCCBaxSSruP13eJlwueGisvplx33TIzJ9Cenhu3k7sAEiRKtoWjobW3z9zee6+55bNP7EY9WoaQ1VrV5CCQ3KqkWr6kau6pq+qK3GzSuoRp1DlZBUTn0HtNe5S+fpueef0oaN6wMbAxsMfRS+A12OnVTcIRGNezT+sdcPNJAJpIpOGYgWG7xAurw8R9PzR7k/hGgxJYreep86yAcI/Z4n1s/9eT//PcBxJDzi43HySk9jFBau0FDw3xhFrhRo9HzExUkW/qjwTr54JlQAYQa6493R90bj9kcg6vhNHKKyIL4UPFduoTEY9lJzzrXodb/m8oqmy52/x8PHr8sJuOyQGQYB66doOH39FNfxj+w9fhz9HJB//l5/F+eAc1dwfs4zTnyAhxH1BzzMX0M0zZz7OxzIiSNl5dVXXw2+4cKUDHa9gkgxVZBRXaYLApQA0whp5CBb1BE+Hvnpp58GsnB5+Ltc9rtzsfH9o4HzeLqMmfrHFvsQLXYeZddB5OTpiMqec88PTzPfwmGr/r/97W8aMmRIsNmJ+4191s9/DfZk8OfGQSyY5pJPY4zBagZwnjXObIBAY5RTdC3b8iaHMm1pIY+8bHGkrLkOAZmZReAcWIMf9LpafYjmJ2nw9LuLF/+9hcvMZRV1kATffCFYWG0EJTDQ6d20c+b/p6ZtsbpKJwDf2LH7Rl7yMYwgnnYsNEMlIGqWhsAIwiCCTBqpgVz9ZEbST0XDX34eLOw2swKyRc9yMAXQSA69+ZCslHSTtZHTTCOrm7cka2tKqpHgfJNdnpJT07Rpy2a7vjlYU5Vlcg16xYO4hFMW88k3CBNxDciW5Y/FiV2/iArTHSFdTI8EO9d32LPbtpsOYhpNYOzwsWDDT8gFohVObaIXOBjV+hnRigL5AvIV+Vs7ZOnEiAwWrNPzbmUp1dLz7rvvaebMGWrcpIEqVj5SPfu00pQZw7Xs4lN16VWn6/xLT9TshcM1cnxHtWhbWfUSy6pz11Zadv5i0xufBOWOsDDC2KiDkTJGBNiwA3kwwhg/jgcOYfkrbjMBhPO2224LRrJLly6tq6++Omg3dvesg2ddB73++uvBNxTRrazvfOmll3bWU38WF31+T+D1PApvq7zu51meokO2WVkssPM8dIXpgBwr04DzAnRHVrb5C/UH+mbj5g36cd0PWr9xndIy0oMwSRPv9bh6/d1TRF1UBxAubS+Elt5/30Y/uqbF/YZhcdz9uxltgvCEsiAfQjLEiD4fB87JMZsgw2yO7O3Ky9mh7Ez7nck9OkSxDUJbgxEWOnXS00O7C6BHITWEGRItt2Nc7tb+8h46sowEBVMATf7o2XQjtKkmy1QLL516YXqcDTDyDDmmcwIY0co2/7ybOllg54V27ScLO4TJwt7JFNDtQScR6bM48NvkFEVUZn78NRd42ekNeWLrWJ013RPoGDYHsbobEspw5tHWrZv00svPauJJI9WkWU3VqV9KPfs21imT+2vReSfqwhWTTG+crJnzhmvosa3UpGV51TY/HTs312UrztcXX3xmZS6c7YMOCnYuRe8VjSCSlmjcPZ/d+e8/C5A16+DRFazR4jM/dBx89dVXQZ0kTXuaH/vK7TeihRLyAse0H4gWhiYjWhiXUcHgPOH+fPT+3gLHkTigwHYqPwOFioobDpmGBIJzFDvGvitNnuGc+6GxFG7GAGmgFyicqrE1UFSEwzP+bhxp8UoXjdsfgajjN3EAUUOQOBcbgiHJiabTfzvRQnY8SxgenjveQVqRgcsZv8g5SqKQM8QKIDvAdfz5uiTex7NcJxzC5Le/28uW55HL2OEy4Bz/+PNndud3T+DPuPM4eNy8vBD/L774QldddZU6duwY9KzQm8p6A0gHC42p+CgEelroZV2wYIHatWu3cxtidsdCHoRJGng/YfM+znfnovH9I+GyxHkZ4wiiRAt5PPTQQ0F5clkix2g40bwCyJJRwP/93/8VC9qZXomLvtfPo79/CeYrQPE1njPCE0GwZsAa3Iz0VKWnpQRkArKFAZ+H3sg2g8DyOtuOGBI0+N4AojNCYzesSyAwGKyRZxQmHIlh2hiG+q5EC5m5THDFcfz9cBm5nKJup/Gfh4GebsfMYEQknMZjei8jRSmpm7U1eZOlJ9XSCfk0vWD3spmqlp1hv+kVRT+YPjAiU8ioESRrm70rmFvIi4pAsiFbkC6LCyNbbLOcnWcyhdAamdq8NVnr1m+0d6YakcrSluQ0bU01nZKZY0YT0/pMx5jBunkLuiRZmWbAYuAW5BshsrhsDwwGq5d2DIkWRBJDAlLJO8No7bK5h5WFEFYGzNjZ/pM1zsGIVbCqw84hVhg/jBSF60nij2hFQT6St+G6FYwoCG1mVrqVCzqh6ODbprVr1+uaa65Ty5bNVa7CEWrfKUmLl52qW+85R6seW6xHnjlXDz+9yHCubl81XzPmHq2uPRNVvdaR6tqtnW699WbTLxtM56J3Q+OUNVvIAJIVlPGiDPh5HA8ccF720XGATji2Gmckm93w2LCB9gIXLwxAGNQdD4fOLj75QUcvR35zPVq/cLHh/BoIg3rubR3nfs3rPrqCTpmstFRlpKQqOz1DuVlWv6zs5mSYMZ9lZcfqBtfSUtINVsZTUyyNW6w8W5nfujkoG+hS4uuO90fr8J4g6vxZgJxon2mbmDUA0TrvvPP09ddfB2mJ+nUdGS3fxfc5R5cjG3Qg7SJ5gP1VaPoe8k8nldXvrELTpTsM241k5VudzTPkKi01M5g2mwERNb1I2olbtKObOPmIltsGyIb1sqy73LI1RZs2my5ISTOSmqm0dAvTnk0xQFrTTVdwhHAxasgIV6bpmkyrI4x4pZl+zsziPaEeCzYq2W6w8JnmGWxoUlTPfVdDdEWxjH4ue7/3a8682n9F4BCEa23KdmwA0s0gATZAaH9BjL76+nNddc2latqijmrVLaWBQ1vrkium6L5HlujxZy/UE89fpNXPXaQHVy/TyuumavSJXdSoWflg1Gvk6KP12OMPms21OWi7WN/JR9h5BzIFsfGOl74/A4inxxe9wc6Z2FIQreXLlwdr5L287Ele7Eu3z4mWJ9YNBXCgiJaHQxyonCg+hxMMjj7CggLHsHXDP6o4ySD84s8JGUQBsuVHnkEh7qv4/15EHb+JFyBN3jiQdtIVhcsDpUaa+I1f5ODGs+dt9D2EzT38EQ5y5rnoaBZAYSI/gNyQJ/eRI8SD67yTsPAfmw/+m/t+nXMH8fK0ejw9rvEQdfHuR+Hhul/CdfLD0eNHeug5ZW0A2wozikPFZ7t5yhhpZg48aSatyIRvgs2dOzdo7JjmMmfOnGDkhjD9nf4uj0885/f+aBBHjjjyIZpPsUQLHUDeerqi+cM1fkfzElLKNq0Qrf79+wdr3uK9l3P//WswXzsRXrO4YIQGoFG1umxEazukqohshd8fyQ16n7OtQcq2homNCzBoMzCczOjfFnwjBSMAnRP20GIAcPTRLHpYWTsQLJQvCDsK3BF/TzvxwkXj/XvhMnI5RV1ItFgjkRmQLdYPhdN26CShHkN2GH1mSlSGkRmrp8GIlqWdaWrmj3N68dEBNNoQnyyTUZ4ZldtyTZ65lrY8Sxu7Zxj5+snIWCB6M9RId7bJOj0zLTCEUs0wTTYDdKsh2YywLSl8hDhDW1KztDU9R5vtmGpGa7qFnZqGkWb6hNEu01+FeUbkIVoWv6CH1hBMCTQEa+8oYyaDwEhCLpHy4ESr+JrFN1jUD0kKEa6fsLxjSk+wFoX8cthTEZkXw/LWjCaIFoDUZlpai3vts/T2O//SiRMmqFKVcmrUtLbmnDVBqx69SM+8ukJPvrxEa95YouffWqpn3zhPz752od1brFnzj1WLNjWV1LCG6ZwT9MILL2rDevQMBD/sIKOn+q9AtNBxAP1Be3DTTTcFI9nlypULdCg6M97zDsJw/UE46GE20GF9KESLES7u4c9dvHCK8zJ+fvIO1/uhnqOdoX2FVISbQKWmbA30Ri7tGB0xudY2ZuUpIy1bqXybzfInh93rDJkZRraKiEZyMu0jnbibg7JB/kV1BO/3Ouy/fw3uOCcsB7KgvWJ9MLMGDj300GA9MYYpafP3gFAOxTIpvkeYIdB/bNKQa3U9Ly8kW4TjI1pMm841HZADycqiI9bkkZlnOiVbGzcla/36jVZu+UackS8jRdQJnw0AEYAQ8B6IHHYKeoaRK+oyo1jppmfpiAk6YyAO9r6tpp83m1wZHc+2OOUYkcjMzlGq5dFm0xebzA7ZbG3yJtMfm5K3mK5h8xvTIaY7GM3fYSRnh7UDwTEYVbK6VITwsxIGI0HIM5RTscw5Fsvv5/lSDPwWgecMEDk+WcHoElPYGWVHfsiA8NIzU/Xya89p4qkjVbNuabVuX0vnnDfRiNXFpi8u1FMvn6enXlmmNaYnnn/zMj310qW66qYZOvHU3kpqXEEtWydo/oJZ1p6+VSTn3GBnxTzLOx8t9LoSP85/HnhZJq4QLTZ3oXPFiRY2hNuK+Ik6nt+f7oAQLXqzowLy5/z3vspU3s2R8BAwpMErJorLDVymaLELGnvtL126VGeffXbwsbObb75Zzz77bNCbzlelUZw8RzhOHggPcI17f6ZCGXX8Jl4AuVCBHMgGWWD4enpIG+nlGvfwQ/o4AhRnvALLb8J0+XJExkwRBDSSHN9///2gHLDQme3+mUr31FNPBQa5f5Ged/M84fG+0HALyTFx8DLm8fC08dvvObgXKx9H1MW7H4W/x/3yHm9ow8YknG5JRafhYhpg1apVg+2FWZTN3GFIlpN1jp5ORvJWr16tUaNGBQoCQoJcIKOkgffxHj/3eMQ6j+sfjaiMvVy5bJxooQM6dOjwM6LleejPk0bPR67Tu8p6tv/5n/9R3759dyFaDhzHaDi/BPO1CzAcnGQBRkMKjDRsMzLBSBYGD3Gmt48RlB9+XKdn1jyv62+8VcvOv0RnLTxXS5ddqBtvul3PvfCyvvrme6Ub+UpLNyJWhHRrzDKMfGRZGXaShdFPet0Rfy+/8eL9e0H4Dn5HHQZUuMV4OALC+iqIJaMtoV4Ip/BQB8PvsLDrqhmQ+ehU6ibfu4M0hOQhzco3Ww1npKYpx9K+LceISa7Vx3x7d4HJOyBa9mJEb3EhzRg4W1O2aNOWTcHHP1NMbmy5/v26LXrjXx/r8adfNnLxjO558End9cBqPfzk8/rXR59p/SZG29iBK01ZFk+I1naLH9O2CBcjxYkW56zxCjc6Mb0RgV/3e2H54P9YomX5FhAtCFeYiF8yzENY2ilfPLs9LxgtZK0fU3fYwOKHH9bqnnvvU7sOR6lS1dIaPKyrbrt3uVY/f5leePtSPfX62Vrz1nw9+/YCrX5ptp54yX6/erFuvXuhRoztplp1yql1m+a67LIV+vzzrwKjKZuPKwcdALwTA43RtF+K44EBjnzyNgbQFmAw0cEC0eJ8d0TLyzNHwqEOEcaLL76oY445JtDDEC3Wv3Iff+5iw9qVUDh29UMY6DfXceEaoXCkhfqSlmY2grV9mRnp2rxxsz784N+m9x6zvLlaixct15JzL9Qll1yl2265V88//5q+/OIHI5bJ2mRkY/PmrUoO2ocUez60O3ifO97vddh//xrcn8vHZUTcaW/5XpkTrXPPPTewe0ibvwfEyoVpbOFIFvIIsa1guxnq20xnojtCUhC2jaHOCG0DIzpWLhmhBhlm4KcYMfpx7YZAr6YY0YJQQKzorArJGeEha+IeEi3kzOgXehXytM2uZ9v1jVvT9eV36/TOh5/oiWdf0J33PaQbbrtL9zzwsF589U19+tW32rA5Wcl0ztizINX0MkRsK+2zkWO+g8XU6G18l8r04XZ2QjTdSL0NsCPf3me6kqnFwOQY1dtRF82HX4b5xX8Rwm3qTX4B0aKziFFwiBdrSfP047rvdOsd16lNh4ZKalZZx47ponseukDPGala/dJCPfHKWXru7SV65vXFeuyFs7X6xWV6+JkLdNk109VvUAvVrF1K/fp3Nzvsdv34w7pwCmc2bbfVQyOkYf4V23rRuLqLXjuQIH4eT2wpNnfB3mANPFNhveNgd/mzP91+IVqeYC90LGSPrtHCyMJFExebifsChInjHOPXiZYTI3rL1qxZExCrQYMGBetoUMbly5cPet5ZM8N6EKZ0MU+cBfgYGShvDC4Ph3PCp6JF07E/0vRr4J3x3uvXXMESV1cMxB8yBAmgEYLwvPDCCwFBpqHjHumjkIYKMyRQPO+F1sPH4Sc0xEKZ0zASDutsIK7MnWUHOkYmKA/sxNenT59g/vy8efOCxpRvn0BEeE+omEMiSHj8Jg+8fHkcPB5+DURlwXks/B7Oz38J/pz75x2kF1l4uSCuTAekctObkpiYGKzLQgYQK8oQMqX8cM7R5QWh4EN7TZo0CerL4sWLg+dIq+eXx9vjEeui8f0j4fHCEU8vL8QbouWdLWwCwjpNZOXPeH5Fw+K35zFyOeqoowKDq1+/fnGJlj8X73o8mM9dsAvR4pstrOX0Grn0AAD/9ElEQVQxIziHqSWWT5s3bzESkKdNm1P07Iuv6vwLV2jI8FFq3KK9KlWvrxJlqqhMxRpq0KiVBh89QucsuUD3m2H1yadfGnFgOko46pKalmGNuBkPVl5Yn5Vr5Tle2j0tHH9Lun4NHp6H6c7vMT0lXAfA9vShcYPRlG4GET3ujNyxYx9GTnJKsr797hu9++5beuHFNXr51eeD7ca//f6rYHphRiZTs63OWvkuyLV0mhG6wwiWA+6yo9DeW2hxMWONTTPYEGLz1o1at3G9GUNbtc7k/fq/PtKlV96kk6fM0bDRp6jbgOPVdcAIdR80UgOPn6Apcxbpqhvv1Muvv6t167dYnuUGi9i3oT/s3aQN4hSuuwpJVkCiSLNhd0TL/YW7ThpBsQjvhP1mWk+IKHlxxMqeaxjLPE+Db8ZjXqbJMmxDUoyMfvTRx0bWl6l23VqqVKWMJs8YowefvEJPvXKZnnljqR5+8Qytfm2a1rw9U4+/PE1PvDxXL797qR59ZrnOWnyiatcrp+o1Kgbbmb/55jsB0eJbP+yORl0K61MY3/AYL54HDpQ5dIbrfaZYM/2aNVplypQJOj+daHmZdUTLdViOKb95RmKeD7Z1Z0SLtbCxRCsaRjHCvCKPnVTE5iuyRLeBUNehn3dYXuZa20UHg+l1qyMfvv+Rbjcj/4wZc9S1e3/L2yaWt/VVpVoD1azTVC1b99DxI0/W8guv0uOrn7d29wtri5lZk2p6J8vqXvG6aOLMuz3+/vuXEOuPZ4HraMKlHbrnnnsCm4ft3bGJPv/88+D+z98T1gXKUFjueQck2WRStOU4661CYhR21ITrrVK1dt0Plr6P9Pqbb+o5I8DPvfCi3vvwI63fuClYa/mD2SDf/7jWiA7Tlq09tbQzsgW5coRrvijL4ZREZgtAmNJNN2ebTvluwxY9/dIbuuRq0xfTZquv6eL2PQaoVaee6txnkJGRCZp11mLdcscqvfnuv7VuS5rSrI6kGPFLMd2Wmmk63+JcsI11qdn2npBY7QDBhhThKDYoDMCoVjHJAi6rqAvl9Gt5ZvrQwJMcmcYcfFC50MoX5YwNMOx5NutIM3n+5/N/a9mFi1StVkm1aldbsxeO0xMvXK6nXjtPT74+X8/+6yw9/97Zdj5Pj740z4jXuXr6lUt0z8NLddq0wapRp6Tq1q9qxHqRPvn4P1ZeLc152wOdQQcNeei2Vmzc3e0a/wMLjyO2IyPhrMtkdhAjtIxoeR55OtxFz/eH2y9EC+dKiN9RotW9e/edRCvq/Dl3UeHtLQjTgSGLcUvPDUcMN3pwGD2oU6fOTnLFVtsoGzKHa2wpy178EAIIFwYemUjDiIHso1qE70op+n6O+yo9UUQdvz2drkC55gUKeEWh0hBfB0Y8c9aRBbvdjR07Nuj9Y6oFu8SxcwvkKLo1ppMd0uwNQNjQhOmHMCBjJ1nIiK9yY1yz+xMypneShpPd9mgAAV/xhui2atUqIFw0kHz7wPON+BI2cHl7nHhvVD77G+5c3sBlS9wo88iPdEEsWGeAPJxk4QdwzckZYPQKotu7d++AlIwePTooqx4+R1y8OP0Z4PngZY6yASBa7DxKmiBMUaLlfoH/Jgwc8uV5lCRyhGgNGDAgIOLR9zp4Fhfv3i4I/ix8g71tV6JljSZg2iBEC5KFwfPjD+v19bdrdfeqRzV6wiTVSmiu0pXq6YhydXRoqZo6rExNHW449MgqKlG2uuokNlf3PoO19IJL9eIrb5kxkVxEtKzuZVn+G/GArFCXonU1Gk+/Fnv99yAaXtRxjXhgMGIg0TOdZeQwBwOG3ueUTDMemSbJeqhUvf/hv3WXGWfnnneuTjr1RB197CCNHn+8ZsyZqsuuuFBPPvOovvzmP8EGGvmMeOVanbVwg527gm2TzSAxUW9nqqWROeozdYKe5OTUzdq4ZbM+/eqbYMRq0syzVL9Ze5WukqgKdVvosEoNVKpGc5Wo3kSHV2mgyomtldSmq048baYee8L0xtrNATHMYaqR1ZtgV0PDTpJFWi2/o/ByEAXX/blwA4lfQ3yZh7AQzQ9ruXxEi6mDTMdEb9B7/+577+uMmWeoes2qqlqzghYvP0MPPHWZnnvbyNabi/WIkasn356m5z+YqaffnK5n35yvtz++XI8/t1zX3rxAR3VMUNVqZa2O9NMTTzyt5K1msOYwDS+sh+SvTx8MpxIWGx0g6naN+/6Hx4M4RYkWmwUxysKug+hRdCR+cV5mPYxoejwc1r/SqYfuof2BaOHH/UVRfN3CLCLTxXnrCP26zmIkK9iEwQhBOJ0tW5s2blVKcoa+/OpbnX/BJeres79q1E7SkeVq6IgyNVSyfF3TFXX0v4dX1SFH1lL5yg3VqEUXjRh9mlZecaNefvltffPN2iD/KBdMuyMttBF+LH5/MXEijzl62nAc/b7H2397+037yhotOpuxe2h/menDe/BD3XSiGZB0CEawZoiyhNzCkSwMdaaqMsoEwhGnDH3/w7d69bUXdPMt12jBwjM1buJYDR81XKNPGGX6YoauvuEavfDKi/rm+2+1eetmq//JRnZMF5jOYGSQcMJRrdD4R9bBxhkmm+TUdG01nZqSmaevftykux5+QidNn6fGR3XXEVXq6dCKdXR45XqmM+rqCMORleuqYt3G6tb/GM1dtFxPPP+avlm3VRtSsoKRMMhWrqWXbyVSPxnhh1z9ZGCq8E5YHQZWkwzF5eL3wcp0BMVEa5vFpTCYGsk0SeSSmpaid99/SzNnn67qtY9Ux26JWr5iqh5dc5Eef+Vs0xEL9cJHC/TkW2ca5ujFD5bo5Q8v1ovvrNDq5y/VkgtPU5OW1VW2/GGadPrJQb0IdKaRLNbLofPD9WCh3oiNq7vY6wcaxBW7k100sTUhW+ecc05gR3EPROv/H+H+MKLFtCGIFov8mTIW6/w5XKzg9hYIFKWEQQeYzgVJYo0M09VYVI/Bz84kxAvDmNEERlzIGKYZMF0JBQ0pwGieNWtWQExQ9jSOTgAIH4UUzURAPPZlmhyxzt+H3F2hOviNHFCWGPbIgel75Mvtt9+uCRMmBLsNsasTW7siDwgm8+IhQhAvRvQgS6QTxUn6nUxxjfCRgzcCjNwgG/zgn6mZkFrIFBtDoNDZ5vvoo4/W+PHjA2LHb0Z/8AP5ZYSLqXOQLSoO4WCIkYe8l/eQPpfzH4FovgLy22VO/nu82KyBRh3iyGgdnQvIBpkA8sJlRroAz/KbKYYQLOSETCAVnn+8LxqfPxtcNl4W0QHAiRY6gDrlRMvri8swKl8v1zzvRIsyuS+Ilr0hNKSLjvZWu85oll0xkgXYCIPF2Fu2bFWGGQ8/rN2k2+55SL0HHa/y1ZNUtkZDVUtsp2oNOqly/faqVLetKtdrqyr1WqtizaYqUzlBpSrUMcLVQhNPma5Hn3hWa9dbWNaIse4oxcBokafZ070zjpHrsff2FdxxzjuQda4ZMVu3pFhdy7fGNt8IVpYZjZCsbG014/GLL7/Vk08/qzkLFqh565ZmNJZUifKHq2TFQ1Wm6hGGw1UjoZIGHtNHK668QG++85J+XPeNpXlzMI0wMz1D2yzdfIumEARTjXhXuHaWqYiZRs42m99rbr5Dg44/QTUbt1OJyqYbTLb12w1Q/faD1ajbcareup8qNu6qKo276NDKSSpfp5mOHz9JN99+nz746FPTG+lmmBStD7F6SU81I4k+DQf4eTHh4q+ofHDN5ALZYr2Ek6X42JM8IhwjWmbAs5EIaYVoMYrHyOa/3ntPk6dOVq261dSkVX1ddu05evyFq/TEqxeZsbRIa96fp2fen6Gn/zVVT74+RU++NkvPv7VMz756me55cLmOG9lDNWqWV7v2rXXPvfeant8SGKboD2+fnGiFI5e7lq2o2zXe+x8eD+JIfAEdfJdeemlAtGiTMJ6iU6l5JqoTo+nhSBh0FDLdGN1DW8d271F/UYTXi/IzMnK5K+EK/fJe6gsdE8g4mOaWxcyL/KBD4rvv1umGm25Xz75DVbJcdR1asorKVk1SxdotVKFWa9MfLVWqWguVq9Um+H1EuQYqWaG+Wh3VSzNmnaNHHlljxuHagLD55hC0g6Sf9oL2AB3qOtZlxvVYXQr8Gkfizjl+KRdMtWLXQTo5IbSsD2ZGi9s3tGnhNEGetfC3s0wC3UWYRga2bbe40BljpIfNKDZtCTpxN25cb/riU626/w6dcupYte/YTAkNqplePMz0xWGqUKOMylYpqRr1qur4scP18OqHtHbDD9qweb0y2CTG6sWPP/4QbNaALQGIT3pahtat36D1Vr7XGtYbQfphU6rueHC1ho07VVWTWps+SFCZOs1Vo1kX1W3TS/Xa9lGdVr3sd2dVTGijKoltlNS2h5Gy+XryhTctDNZ9mu7JK1S2EQw2KaKuML03+A5dlGgFn5QOSZa1XHb8eVnaOxQRrCIUBkTLiDxEi3W/VtYyIN55Vt5ysvT8S8/o+NGDVa9hBWuXWmjFtbP0+IuX6pm3z9WzH8zXM++dabriTD33/gIjXouD68+8vlzPvHqFrrt1oXr0ba5KVY/UiJHDtXr1E5ZvWwOdD2Gmg4ayTdmKlqPYcvVnAvGibFNPsFmZUYQt+V9PtEgUFZapYhAWPszqRCuaSH8OFxXc7wGOihmdssV0QXq42KQAQoFhP3/+/ED54pd4o3g456NnfMuEuEMMjjjiiEDhs103C2ohbL9EtPw8Xtx+L2Jd9J0A537Jh9CAKdhp2EMEGE4lP/i2E4SKuayQAtbRsfEAsuGjupBRdsNjJyIMZhQ9hi/EAMVO2pEb4TrpQt74gxSxAQQ9ZMgQsjpixIiAzCJzZMhzTLVjLj1xYm0SBIVdpk444YTgS/6QQ9KBvAnTSY2nOyqb/QmXb/S3l3XihJw5kjamqVDmIapMUcUv97yBdNLFOQ2ZN5QQ4ClTpgQjqXxkk2dJa7SB/KPTvafwOHF0uYDoiBZEi2/pkW6XpcsxmjYcR56nvLG2a18TLUwpqzUBAiOKqTBFYJvytNR0bdi4VamZefrs6x91zOhTdHi52vrfI2tYQ91BCW0GqWGH4UrqcKwatD9GjdoPU7OOdjxqoKrUbaN/HllTh5SopnpJbXX6tHl6es0rWreO3TaNwG1mJANDiTL18/x0OTii9/YWUee//R55EEzJMeKTmpymHDMa83K2Bb3zxDUlJUNvvfOeLr38SnXt2UO1E+voiDJH6MgKJVS1QUXValpZdZpVUo2m5VWm1uE6otI/1ah1HU2YNEr33n+rvvr2UyOr3wSGU3Ymuzea4WBkLlgLYIZqUBdyTI9ug2il64NP/6MJU2apQt1mZjC1VMPOQ9T12EkadPJCHT/zIk1adotOOvd6jZh1sZr2GadyDTrryFotVKZmY/UcdJxuuesB/bBuc7Bui55vB73BrI3ztRW8jzUQTP8Jdxi0clhUPsJeZYwezn8uz71BSOYp7+E0SYgWmx7Qi//q669q1NiRqlqrolp3bKjbVl2ml967Q4+9vFwPv7pQT5vB9NR7M7X6zdP1xOtT9cQrZli9cJaef32lHn5ihaacMUJ161dS8xaNdOON1wcjQuEmBOEIOnnsOoS4xJatqPNrfyRwxAc9iS6EaDHTgu9oQbQwnmhXorrC0xMFYXEkjGeeeSZo19iU6OSTTw46sqL+ogivowvQDCBcixcghmjhF92EMcpIFqO/ECxGAzas36LHVj+jvgOGq0L1BP2zVDXTB1aG2/ZVw/aDldB2qBLaHWN64zg17jxSTTuPUELL/ipXvYX+WbKWKlVrpHEnTNWzz72h9RvYGCMlkIm3sSBKtGLTwm/Xv7Hthv8G3mZhF0G06MwqUaJE0F6zRov3YTMgx/AZnoVoMaJVTLSYzgfZZEMF1petNxL0w4/f6403X9HlV1ykIUf3Vq065VWh8qHBNLe6jSqpYZtaqt/c5FKvjMpXL6FKtcqqXbc2uvzaFfry28+0NZXphFv05Vefm+G8xeJBXDKMAGRrs9kNGzZuDDa52JKepbVb0vTKv/6tk2YsUJWGbXRI5Qaq1bKXeo2cojEzl2nigss0Yd5lGnfmhRo5fan6jZmhRl2GqXxCO9Vr0U1T5yzRS69/pPVbspSebcTZdCAfNTdJim/QhbuKFhOtYCOcgGiFNIsWJCr/vUcRwQJWF7bZhXzLMz5zkcsmK1bW0rKylWF5lp6doWdeeFL9h3ZXxZqHqsegprrp3nP14rvXac2755memKMn3p2hJ9+dZYRrrp5+Z4Eee/UsPf7yUj3z2hV6cPUKDR/ZVZWrHam+/brr/gdWBZ2KrpezrW2KknaPo5ej6LU/C4gT5RQdwSAC3yyFaDEVFhvCy300/n+E229Ei8R4hcbIwnDEyGJKFN/QwblwcP4czq/vC6AoUNYoEoxV4kJvDUY/HzI77bTT9PLLLweNPEoHxRXtNYII8AxTFlDWbDML+YCcsSOc9/Y4kfGMdHhm7mvEOi848d6PkiRunCMDFOjKlSsDQgXJYioX5GfFihWBAQsxYhiZxYQzZ84MSBYkkyFYRiZpuJAn+esy45yjEw3kAlmFQPGRSYgbhX7y5MnB+i8MAG8siBPyp1GAFDNXnK3QIXo0rmwkAbElP0gT6SF8TyPPxZPR/oDL2R3nvJ80ezkgXa+88kowIgphZNoKW7V7WfHGjd8cXZF5WlAIs2fPDqavInPIPv5wnmaPR7w4Hkh4nDiSLtIDokSLssBIJXIiLfiPTRfAeTj0RkG0qH/7ZOqgwWIamFLxSBbGFtNVNm9O0cYt6frqu8266MpbVdGMpf8tXUfl67dXjRb9lNhxpJp0n6jmvU9R814nqXnPE9Wq1wlq1XOsmnY4WnWb9lT1ekfpsFK1VDuhlabPPFuvvfG+MtKNVOeyxbE1ZNuKjR/iHy+u+wrxHNdDOYdTgHdYPNi2Pp2dv4yYbNywSRtND/7ns8907rJlOqpzBx1R+nBVS6iqDn3aauyU4zVj6STNOn+Szlh6kk49a6T6je6oWs2McNX4h2o2KKuxJw/Xk88/YobRBiNTjExnW9rN+C9a6M60mEwMiGwjRTksSN+ildddp8YdeuiQ8vWU1OloDZ+6VBPOvkZjFlyt4+deqZELjWQtvE6nnH+nBk+9QG2OPl21jhqkErWaq3rDozRh8mw9+/JbSss2A9AMhyx2gLT0sONjLh+OxWA0chXs6mWGo/8OiZblBXIxkTkQX4j4st1TENi2fORsac5kahjtzIag9/+Fl57X8aOHq3rdSkpqUVO3GtF6/p1bzUC6WA+9vFCPvzXHcIYee22Knn5zhta8sUCrXzhba165VA88dommzRyh+g0qq03bprr22qv0/Q/fmb5BxuEaUM9vr3fke7TMRZ1f+6PgjvigIwGzGdgxjDVatAVsnkQnnutMnvM0OPwaaaStoKOODkUMrkmTJgW6I+o3ivA6sokQrF8gWiBcM7QjmGLL9NqtZvS/8fo7mjL9TCNNVXRI6eqqWKelGrTppyadjlHDzsercbfxamb6olmvU9S058lWvseqkemSBm2GqGy1lvrbIVXUsElnLTr3Ur319kfamhyuk6aTkXYQG4Xf6FDAuRvFDn6TfuTIb+KMTPDr1znym45M2ihm9tDBSYcnHc3R8GmDaKuD7wqakc+RazvXcRoxYZdRbCc6U1597SWds2ieWrRqoMNL/E0165RSzz4tdcLJgzXv3FN1yXULdbFh8rxx6j6ojeo2rqrDy/5TTdsk6s5VtxjZ+lTrNnyvrSlsc7+p6H1ZSmYnRj61Ye9LM5knZ+XpP9+t1wVX3mSEtb9K1m6mhI6DNHDiPI2ft0InLrwq6JQ5bemtOuXcmzXlgtt12pIb1X/iQiV1PV4la7RUYvNuOmvRZXrn/S+1fnOm8i1P8yxPg3ofkCgjsxGiVTyitW+JFu8LV3E60bK6YOUxSrQyTd7plidb05L14mvP6fhxR6ts1UPVpW9DXX/n2Xr2rav1xFuLjWjN0zMfzNUT/zpTj79peMPOXz9Hq19ZptUvXaKHnlqp40b3UJXqR6pX78564MH7g3JVYLqJHTLRz16mdsavqMxHEY3/gQbxoYyjI9AVrHWng2XhwoXBZhjcA9G4/xFuvxItQCaxicTpp58eGFmQlUcffTTw44nFeYJdWC64vQVhuDKh8EAMAMoEQw3hH3vssUHPOsqLAoXSQKlg9LtRTBhcYytuphtiJDKHmSFJeoB4Fn8AgzKabrAv0hIPsc5l6XDj35WtX4fgsNkEG1AwlYKpaWzUwAgMaYFYoiiRAaNeTJOEKKGAmcpGwYVk4o/0ofQhVLyH9yEr5Mg599hdkPV5yBtDme+gQKaQL+8DLm+eRZGTTzSOTO1kji07IbEjJM8RphvvvINjPPnsT0QdMo2WHU8D8pw4cWKw7g8ZU1aQE+WEtPIMfkkP/gHn3GNEC4JLGaNDgLVqPMe7kTnlCxcbrz8DkIcfiavnFUSLNFHm+B4WawJJM2nBv9cbL6cA5+FAtBjpxODal0QrQECsIiQriAvrOq0hz8xRSma+nn75XTU8qreOqNZUJWq2Vq02g1Wvwwg17HmKGveZqka9JqtRj9PUsOvJatjlRDXuMk7Nu45Rq64jldCsl44sn6hDj6yuTl0H6rrr79KPP2wOiFZ2pumo3HB9EnKK6oxYFxv/vUHURa/zTtbs5BsB4Rth2empStm6UVmZqVZuk/XFl5/phltuUOeenYIRrPrN62jwmH6atugULblmnpbdPE/n3TJby++co+V3zNaZF0/Q0RO7mmFZQ+XrHKoWnepr2aUL9dk3HyonP8OIlRluZvwH9aVo/QXfzGJL9+SMFP2w4UcdN/4EVUhsqQqNu6rr6Jk6cdH1Ov3ie3XapQ9o3LJ7dMxZt+johTdr9Ll36ZQLV2nk/GvUadRMNeg6XNWadlHLboO05NJr9OUPm8wwsTQZqWUTj0zeGYycMYpVYMSKkS2IF/CRrZBoIbGdsP9+jmIZ7inY/IONP7YzeliIHuCTIVvF98neeOsVTZ5+ihIa11KNhPK68uZz9cCalXr0lUvMeDrfjKZz9Mgbs/Toa2dozVvz9OI7i7Xm9WV65pXLjGhdrJMnDVGdemXVtl1j3XDT1Vq77jvxrS52T2Oaojs2LrCoWL6Hee9xi7ponP8I+DuJj7cntLtsKsRINps0sI4IPUpd8XhzjIJrrk9o+5i2ztpwOhXp8KVdi/qNIrzuRKvAECFaATA6i3VWMJoTbGfO96BMX6Rm6YfvN+i22+5Rm3Zd9b9HVNKRVRqpWqOuqttmkOoedYwSOo02vXGy6YxJSkJn9DpdiV0nqkHHcUpsd7yqNuihw8s1UvlqzdWp+zBddc0tWreedjk1IJ60z7TjyAd9gVFJPfK2AXibRJtC+wqQBde8raVNIQyu0w4/+eSTgZyYus9nRhj5Q/6QMPwjc3YhDXYZNfCsP8+0SeKBXfDDD9/rjTde1YUXLVX3nu1UtXpJNW5WTWNP6KelF0zVDbct1bV3nqtr71miG+8/XzetutAI11kaP3mY2nRpoCat66hNxya6+fZrtHbDN8rINPtt4w9GYjcbydpkuvMbS4OVAdKenav1KVl67f3PNOKk6arQoI0qN+um7qOna+y8lRp/zvU6adntmnzJKp18/t068dzbNOmiVZq24mGNOesG9Rx/VtBhVrpqM3XrM0LX3fKgvltrJK5ghxEby1trB9i6PdzKPT/QFY7Cn0KSZSUiQGxZ2htYiYxPtLYXE60cO+ZbvNJNb7zxr9c1fc4k1WlYXj0HNdN5KybpvieXaDVE6/0FevqDeQHhWv2O4a0FeuqtJXr69Qv1xEuX6d5HLtKQYzuoUtUj1LdfVz34wL3asH6tMjPMnsvPtXIUtt2Uq53xK6o3UUTjf6BBfCj/lHc67LGfsD3POuus/06i5Qkmkxj5YeQIosVc6cceeyzw4wl2IeFcWH7t94BCgmKBaKEEPvnkk2D6G/OQyQA2t8AgdiXkyodnAMqKOHIN5cboDJtDMNKC0mdqGJtj8Cx+3UiKpn1fpSUWsc7f6+8mPsQLRUj8uY6CZfSOaZOMlEAaFy1aFFyD3OCPudr4Q14AcsNugUz18/Vq9A6ilGnwHLyL9AaGkxnQvBe508ixcyOFnTVXbPQQ9JpY/By8l3fyDL+RPWQDQsg7GUHky/6QPvwC3kf+klZcPBntL0QdciXepJk0OGmCWNBYQZaYjsH3X9xA8HKGf6450QScU6ZYS0AeQdLIH+4hX+TDERcvbgcayMOPxJP0AidalB/qH0rQ0+T+XR84cB7ON998ExAtphBBwH/31EHDzjU5EaK1wxoX4hF8D8eM0Vwzor5dn6yLrr5d/6yYqH9WaWaGf2/V7zJGjftOUrOBs5TUd5bqdp2qup0nKaHLaUrsfLIZUyeoSdcT1KbniWpy1NGq26i7ShrZql67mU4+daZefPFNM8qMaGSYkZJBx0RYF0graSCOsS42DXsDd9FrvI80Q7SCBpZvO6VtsgZ3i9WzNCNCKXrymcc0fNRQVaxZVmVrHKnBY/tq9vKpuvj2Rbr4zoVadONUnXXdybrg7mm64pH5uuSe2ZpjZGvYhK6q37qiqjQ4UgOP726N+21av+U7k2uWcvMZXcpSOnWHkaZcM/jSUrUlLUXvf/KR2prRd2j1JNXtMlwDTj9PIxdep7FL79QpKx7XxBVPaOyFj+jElU9p9PIHddJljxkBe1Aj5l2pjiOmqXqbPka2Ouno8ZN098NPanNKRrCFdEi07H0G3h+Qqx1OsoqJlklkF6IV9GzHRbEc9wwWllVfs9UDssXIVlYm3wrbrM1b1+vdD97UgnNmqV7D6qqWUFYXXD1P9z19uR5/7XI9/Y6RrbeX6JHX52r163P07Ntn64W3l+rFty/Rs6+u1D0Pnq+RY7upeq2S6ti5ue6+9xZt3rLWiFZ2AHZPs7eS/ZbnYfw5enkDUbdrvP84ePuFXmVUZdmyZcEmOKwdQm+gM7nvdZ1jNA3A2wbCYAYNehSixYwMOn7jPQPC61GiFYdsBUSLOgPYZrwwIFlMGWSXx4///bnOXXyBKldP0OHl66piYgfVP2qIGnYZqQbdjEx1n6iEHqYrek1Vgz5nqOnA2WrSf4aa9pmiZj1OVoN2x6lC3S72bGOVrtRIY0443dqA14N11RAZ2hfkgv6kHfSOZNpq9wM45xqkzAFx4lkIm4O11x9++GHQGUhnKDMpmFHBTApmt7ApBjsQcsTfhx++H4BOVNqql19+RU888VTQEX3rrbcYwbpAp5x6ojp0ahWQrMSGFTX2xP46/+LpuubGhbrlnqW6/eHzdf2qRbrqrgW65u5FunHVBVp5yyKdMHWY6jerrNoNKmjshOF6571XtH7jt1aO15kNtkmbN63Tls3MhuE7W6an8rbp+01pevT519Wm19BgNLte56M1dMpSTVxys8YvuVUnXbhKk1Y8qonLH9CYJUa2Lrhfp17yqMaee7eOnr5SbQeepuqJXVU7saMmTlqgDz4xUpfB9EErC1YmgjWchaabA90QYpsRr21WRrYZ2YIMAStNO8vR3oIwQqIVkreAaNl78rabnWRlGqJFm1RguiPLdPWnX/1H51+6SNXrl1SXvkk6+4ITdc9qI1nvnKfH3p6nR986U0/8a56efPcsPf7mQj32+mI98dryYB3X7avOU8/+TVWyzCHq37+HHnl4lTZu+DHoXMvPy9r5ofdomxTEcTd1588AjxsdDHTmsvcAtie2/n8t0QIoPHqQ2G6W3n22Zsb4xnmCXUg4f86v/V5AFuitQSlhsLLmh3Uv9IqTESgiFBfGrxMu4sxvMgtFzTWIFmEw7Q7iQK8PhjBzxnkutjCStthr+xKxzuXGe4m/kxZA/DlCmC666KLA8EcGzFfnY44oZBQ1DRjKi7QiM+Tio06ss2MjEN+dkdEaZEHao3LjSBgckS0EgwaOKXSMbKGsCdfJEjIlfAgeceZZfiN7lDpTGpE1pNAXQvM+b4j3l3x/CVHH+0kHaSItxJ/4IRsWcTPtklFA5ghzzfMDf5Qxjlzz8sKzTM1kii0yg5z6FFVPM/7ixevPAM8PjsSTMgH2lmhxj+sQrU6dOu1DomXvM4MpmCZWRLQgWVGiVWhBZeZv18vv/EfDTzhDh1dtqr+XaaiqLYeYsTTBjKNpajJonhL6zFXNrmeodpdpSug23e5NMbJ1ihp3naiWPSaqRadRat7+aFWq3kIlStZSh479dM01t2ntj5tUaI15QR4EGlmFPdKkgTjGutg07A3ihePyDolWjgrz05Wbvdnq6FbLn3St2/Clzlt+lmolVFKZaofpqN7NNPfCabro1rN16b3n6JJV83T+3WdoyV2n6fxVk3T+/ZOMcE3RRbfP1sKVp2nQuI6qknS4ajYqp0XL5+g/X3+g9JxkM5IyjVwxXTAnWHcAUjLStSk1WQ+tfkRNO3bWP6smqcWQUzX6nBs0Yfk9OuHiB3Xylc/ohJVPa+QlRrZWrtEx5z2gUUa2xp5/n45bcK36TVqsxv1Gq1yjjmrcqb/OXr5S3/y4UVuTWQOWG4xmZWRlBh9Gzme0pzA3AEQrHOGyssAfsjGRRWGXdoNdZbp7mF+zpLblWfhmpKenpSs1JVkbzYBk9OmTzz7QJSuXKaFJDSNaZXTqmSO06ukrjVhdrcffuMRIFkRroZ566xw99/ZiPfvGUr3w5qV6+qWVuvL6M9VnQFMj8yV09DG99PwLj1k6Nym/IEN5+RnB7mkhQSASFAT0V6jDPH5Rt2u89z+Ih+tBdB2AGDjRYrMmjPlYouXPRsNynYquZU04ugMCwfRl2hX8xz4DwuuxRCuGcAVEK1zPSL3lm1Dh94dY05mtF194TRMmTNKRZavr0Ar1VbVxdzXqOkLNe09Uo96nqF73U1Sr62mq03O6GvSbo6T+c1SryyTVbj9BTXtNUrt+k9XQyFapam30v4fXVLvOfXXnXfcGI0uQKtpKbCqIDqNOfOieNoOZQmwyxPcb2QafWSAsEWCNG9MvmbnClEAH38qioxUjlI3A2JCK6ZWsDaa9Zco7s34A7TA7Eh9//HEaOnSw2UCDgy3zw0+09DD/R6lRo8bW1tdRrVrVVK1GBVWqcqTqJlTQkGM6WZmerdvvuUA333mubjZidcN9RrgetfOHF+uGBxbpjscv0m0PX6KzL5ysvsPaq17jikpqWkOXXb5Mn335obZsXaesbEbu+C5ZiuVrVvBpiUwjuZ//uFk33veoajRpr79XaajGfcbouNmXauL5d2rskjs1asldOuGihzRu+cMaff6DOuHCRzXhktUav/wRI2L36JhJy9XKSHCVWm3VucdxeuDRl4zcZRrRsjJh5Sv4jpXpRkhH+OFgA2s7txcGo02soWKEyUrTznK0tyAMK13FRMv+L/jJbAYjecVEa7uy8gpMh2Zp3Za1JtNrVaXuEWrcuqKmLxhu+mKZnn7nAj3yxlw9+NosI1tz9dhb8/XIa2fp0dfO1WMvX6BVTyzTJVdOV5tOtVSqzN81avQxev75p6z8MtOCdXBm++aFm/XQfkfrip+78+t/Bni9xn5keUKLFi2CWTTMwsL+Ctv2/1KihVGEUe9Ei4+y4jzRLiRcVAC/F4Tt5AEFxc5vGGkQJOZqM5qF4e6ECsMPQAK45oYgaXASgH+2m4U8wJQhLvQKebpx/m6e3VdpiUWsc7kRVxoXGhreTzyIO0SAKWisG0KZMoXz2muvDUaO6OGC7dPjxXNOOl02yAM50jPIui42BIE8sHkFpAjZIpvoe3kn4fENFDbAYBSQb0LRe0ZYhOly5j00HryX54kr4DrPMH2QeeOsrYMUcp34uXw5xpPRHwHe70QLOIlCLkxLhdAjb+TOKCDE38uSP+OyIE2sz2L0kLLFZi30LFK+XNmRnxz93bHxOdCIxo18Id4gSrSYCooxQN573kXT5sBxj+sQrc6dO+9TohV8C8YaMSdaTJUIF3ujl35SnpGgLGvIX3jjXbXuOlT/rNRUh1VtYwbRCCX1Ok0N+89QgwHzVK/vWarTa57q9pyt+j1nmSE1TfU6n6YGXU5Rs24nq22vk9S6yyjVTuyiUmUTlNCgrcliod55+wPl5ZiM8kPjN5r2XeIa8/v3IvY9fg7RwoDJTN+o/Nwtykhfp5zczXr9rTUaMW6IDi/3v0aWymrU5ME67/o5Wn77HJ132zRdcN80LX9gipbcN1Hn3jdei+8dq6V3TdSFd52h826YptPPOV7t+yepcmIJDR3TVw89ea/Wb/0xIFqZ1phno3tz84Lv16QbCdqQvEUXrbxUzTp105H1W6vdqFkau/Q2M4zu07hLHtaEq57ViVe/oPFXv6xxV7+ik65/TWNXPK0xFz6sEy4wP4tuVNexZ6pyi16q1bKHJs9Zqo8//0EbNqUok+mDZqRk2nuy89gUI9fIVki0/Js4TrRCeVlZsiJl4gkQ/I6Ln8s5PiycwhCEy1q4LZs3Bd8cYy3Kuo3f6ZHV96lLr6NUpU5JNWpbXdffdZ4efelqPfzSZXropWVa/cb5eu6dC/X8W8v1zCsX6JmXL9OjT1+iuWePVqujqptxW0YzZ5+iTz59x0iW6dq8NCOYaXbOelCrj0YOiEdxuorLV9TtGu/9D+JB3UNf0A6AKNFi51+MJ/Qk9/Dr8YymAfh99DHkg9FwOhfZyApd5GU++gwIrzvR2g2KiBZ6nBHS3FzaXOK9w9rCdN2/6jH17Xe0DitdLfgEQZ02g9So+xg16H6i6YaTVa/3VCX0P1MNBi4wmO7oPVs1u01T7c6nqnGvyWrTf4qadBqtivW66NAyiarboLXmzFuo56z9vv32OwLSdNppkzR69JjgszOssYYYYVSyDpq2FlKJjQKwdwDtEPoXw5Mj4BptDZ16bIjlHancg3D50XcLZmOscuXKmL9yqmTXuFe1Kp9nqRGEW7sO4VZWlaplVKNWGbXvnKSZc8dq1SOX6d6HL9QNd5yl2+4/R9fdN1s3PDhXtzy2UNc/MF9X3T1X169arOvuWarJc0eqcZsaqlzzSI0aP1RvvP2CNm/5UalpRgJMZwQ6iinNGemmn7fry7VbddVtD6hKo3Y6rFZLdR51hk5ccpNOXH6vRi+7V6MueFDjVzyhcZc9qTEXP6HRF63W8ec9pGMWrdKoRfdo3Nzr1GPoZNVM6KJmbQdo8bJr9NW3W5WTb+WIaaFWX8LyWDRtku9rFZqutLqUZ+1FLuWs0NoMKx2x5em3wkrkTqJFiBCtbdZG5RvR4kPrbDvPJh1ZOWaTZWZo/ea1euypB3RU50aqafp1wPCWuu2BxXryjYu1+s2levzNxXr09bP1wIsL9MhLi7Xm7cv05KsrdOPdC3Ty1IFq2KyS6iVW1sKzz9QHH7xtOt/SnZ0ekK1tpi9Y30l9pC7FxtVd7PViHDgdgm2B/YWt8V9JtHBEnszBiAIYRYyAUIH5MDAGpyfUE+0JdoHtC/BuDFqMWDbE4ANmzEGGJNCjw+gKJAFChUImc1Di/gxAmbrSxyjGDxtFoNyY0sbaM6YiRNOxP7G7d7gsAXEl7qTfDX+mEkCsGM0i/YxOMZpFQ+bTByBbyMLT6bLhN+SGnkCMZdbJoGBZbMizUZm5vHivEy2UPVPo6D3jPZAND9eJBr8hWp5n/AaQY9aHsRDaR3e4D1mjjJF20hwrjz8SxIM0EP9omogrPaikn41X6EFEhqQfGZEO94+8IbwYBexSSKPHWiamc0BCPV+RD3n9R5S134povLw8IhvgRAulh0Hga9Y8D91/NDzXB6SZssn0n8MOOywu0eLZ31YOrL5CsoqwHaIVwMIJANEyhZ1dYA3ZC2b0NtchZRNVIbGnEjqOU1KPSUaqpqtu37mq2We+qvecp9pGtur3NfQ6U3W7TFX9TkbGupyqtn1OV5tuJ6h+k76qULW5qlRvrFGjT9ELz78WTDXKyyVfd68/dnf99yAaJucgJFqsM0y1xjZFKanrtTn5e914++Vq27WJSlT+HzXtXFPzLz1Ny26ZqWW3T9Xi20/ShQ9N0iWrT9d5D43XovuPD7Bk1ThduGqyzjc/sy4ep35jjlKlxCOMPCXqsusu1Jfff6YsM5pyjeiwA2B6VraRrFwznPK1xfTJucsvVEKbjjq0Tku1HTVD45bfqfGX3K/jlt+vkWYwjTWSNfa6NzTyqtd12u0fatSK5zXywtUad8HDGrPoNg2cdL4adB2lSkndjNxN0xPPva0NW7K1JdV0S26h0tiGm0X8ZjTlBkSL0Sw2xDCytR0j3UwdI7+QkV2wL4wHC8fsKDtXsPA80H05dPCZLshO038+/1BnLZql2gkVdaSR2xlzx+nW+5br0eeu1prXr9Mzr12lZ169XE+9uEJPPL9STz1/jW64bZGGj+isuomldVSHhrrq6ou0bsM3lq/0SNOWZRlpzjIdwiwA4hGu0wrXaMXE7wCCcui6Dt3AdH3aDTbBwcinPUBvoBPi1XfXA6530MnMXKHdY1ddOq6YDvdLdSq8Z/m/w3RTDHaOftt9RjnSMxmRNfmawZ+TV6gfN2zVzbfepxatu6hEhboqX7+DkjqPVKMeE5TQ/STV7TlZdfrMVN3+85UweJHqD1qk2v0WKGHAWWrYf44a2P3ETuNVr81wVWnQXUeUb6jSFs5R7bto6NBhpjtbWzoaqmaN2kYcG1i7WNJI6N/sWKqI7NTeSaCwt9C3kCzIlIN7gHYJmdA2c4SIAjr4aHvoJAQsFWBNN8s++vXra/q3vwYO6KvhRw/VuHFjNPHECZo5Y6aWLl2iRYsXasSoo9W4eR0lNKqogce003mXTtEt9y3SvauX6faHF+i2R+bqttVzde1D03XV/VN03UMzdf1D9nvVAl177zlafu0s9T+unSrXLaGmbeub/r1fW1LWaWvKBiNXycrLN1sjL0fpGbSdhfr0yw1avvIWVW/USUfUMdI5fIoRqBs19oL7NGzp3Rp5yWMaf9WzGrniGY247Gkdd9GTGrr0YR2z7BEdd+4qjV5wk/qMnK16zfqpZlIXjTpplt7793emH4xkbQvJFjtLBkQr2KHU7BzTF3mFpjsCsmX+KLf7gGgBK30B+DPNHHT8MFWR8pbH2jiLB5v5oDPSMrbqvQ/f0NQzJhohr2gyr6Cps47X/U9cpDVvXKmnX1+px168SI8+b79Nbzz/5o164InLTF5nqPeAVipT/lD1H9hV99x3q779jhlKycrOwh7O0XbSZsdg3W6wwyT1zbEHNsi+0pe/AcQJYE8xko2dTn2g3jOjC72BXkBHxMZ/f7r9RrTc4CZhzOPlm0KMbDDtjrm/riRdMUYT6gn/veDdGLwYtBj9rPnBWMPQY1oXJINGzuOKPxQzJIFnAff4zREDGaOY3nVGhJjKMGzYsICwxGaeu9g4/V7srnC7HLnvDQzxJ+6cs5kA3xKAZDEPm7VmjJ7QaGHIM3UQeXhakRv3eBaSxbQF7vMcPYs0eozmEa4TC+TnhIOCTiN5xRVXBCNSKHK2jMU/95xI4Zf3EWd/nvuEyW+mRzB1AaKFgY2sPU94hnzz8nOg4OWE+JIm0kDckBdTJyGKNF6UGaZzMO2D8oh88Y/8KVN0QPApAXoj6WFkt8W33norGMXz8AmXPN5dOTiQiMaLI/mCbIhzlGgxb5qtV0k/9/AfLb+x9QY/rBGg7rL7JeUAGbp/f553RZ/bPXgGY8l3kbIyZL8LrQEptHu+douF0JlmkN9936MqWa6W/n5ELdVo1FdJRrSa9z1D9XtMV7VuM1St5xzV7HuWajOy1Xue6vSwRrv7zGAaYcNuk9XSjKeWXSaoXtMBqlC9tcpXTtKw4eO15rlXjGgxJbRYd0Rd/Ljve/BeEBItduZLU1r6VmXmpAXrqc5edqaqJZRT6ZqHqNsxzXThbWx6MV0rHz5TF9x/qpbcN07nPzJe5z82RsseG6mljxjRemCUlq06SRfcO0XzrjpRQ07togoNDjdjqILOOm+OPvjPe2YkMAXIGnIzHpjKl2l1GiSbAbXi2uvVoF1XHVK7uVocO1mjl92iE1c+qFGXPmwG01MaccWLGnH1axp++WsaffWbGrZ8jUZf/KxOMLJ14nn3acSca9Sy/2kqU7eL2vUcrVvuelLrNudqnZGttJxCpWRaOvNM50O0WItghkxItEz32zWMDKb2mZ2zC+LJ77fCHQSHvA91LmA6dXaw8P/ue25Rxy4tdMhh/586Gcmde9ZE3Xb3hXr6hVv07Mu36Ilnr9NDj1+hex64WFddf7YmnjpYSU0qKzGpsiaePEIvvfyMGaLJVifQrehLwkYv+fpOiBb5Hj+OBwJhvMK6HCVa7BjGSDajLUyPo2PPy6w/h+Oca64L0Jm0JXQIstaXdog2CKLl79wtCBvDMgCkqxjB6Df6wu5lmUyZxsXGCek52/TFdxt0+TW3qnZiSx1evp7KJ3RRUpexSuw2QXW7MZpF58zsgFzVHbRY9Qada7pjoepCtux6/e6TVN/0S4P2x6tO834qW62ZDi9VXZUq11TtWvVUriyfYWmkli3bqktnNq6obHZIWXXs2FmTJ0/V4sVLgimCTBfk6N8FZUMr2mKOgA5QrrM5FXYRR0bKWHdOO4WcGD1kmQdgbTWfGXn+uTV68Xk7rnlar7z8ot5+6w3DW/q36fcvv/hcr772ombNnqyGTaurYfNKGntqH11561xdfccs3Wxk6uaHZ+mWx2bojqdn66YnpuvaR6bo+sdm6ubV83XzYwt1w4Pn6PpV5+mEaUNM15ZWjQbldNOdV2lj8lpl5KQqLTNF2blZQedMZpbZNpnb9fkXG3TRyttUPcmIVu12ajTgJA2bd41GX7hKx1ywSiNWPqGxVz+v41au0bEr1mj4xU/p6PMf1/EXPaWR5z+q8Yvv0OCTFinxqCEqX+8oDRxxqt7+9zfKzN8RTB/M30Z5ZCTY6pIRLLZ7zzfk2XkuI1tWDvKtzFiJiV+Wfisoy0GJNh1BO2S6CB2ZSycYO7bmmo2RR8dJhunNlOAbhXfefZO692qvylVLqkv3Zlq6fKpWPXqJ6Yqb9MxLN+qJ567T6jXX676HVtq9aRoxuo9q1q5o/stq3vwZeve9NwKdz4flfaOTYCq5nTNd0rfyd6Ll9c87bX4GdGWgLx0xadxPcJ1AvWfjO2xd//4tAyvoFNKGfnC//tz+dPucaHmkSYwTLYxFPkqLselEyxOKUgQ8F3UugN8D3u/GPOuFUCjM1YZosZU5BiyNnL+fIxkRjQ+/eZ5wMI5JF2ExBRLCMXTo0GC7cn/OM8+dx2VfIVo4ouDd/n7iglHu6eHcR6PovcLwZ20Z5ApC40QKIok8AGTByQ4NG0YxYMQFEkDaWXOFAeyEAeAfeXGN0SsUOL1j9KqxEJm1XvjzsB3kVTwCBhnkQ8d8SBmZI2vi5mkmrruTyf4A74p9H/Eg/k4yKdv8ZkSQbemZ/khDT4Wnh5CRLabOMbeeUS/m1yMn1jEiK6Z+kEesY2KUi3LnciI/48Xhz4BovDgiF2QBMG5QdvSoRokW9/CPX0dsWKQ5SrRYF8CIVtRP9NlfB89gNDGatSvR4rslOzfJsPOMzGzdfucqHVm6uhGtGqqa0E0NOoxWm4GzzCiapmpdp6l67zmq1e8s1ew9XzW6zzKidaYa9pmrxr3PVCMjWs27napmnU9Q3YBotVKFqo10zHHj9cxzL1ndytwpK45RFz/u+x4uR+RMfcrKzlRy6mbl5Gfq+w1fa8qZJ6l0tUNVvXFZHTepl5bfOkuX3DND1z11li5+aJIW3nG8lt4/ysiW4fGRumC1kaxHxmrpvSfqglVTtPjm0zV6Vn9VaVJK5eqU1LS5p+vN915XcgrThTEacsINKqz+pGfnamt6lu5+6FE179pXh9drpYaDJ+jYs6/WhBX3axxE69LVOvbSZzTsUjOernhVx694Sccsf0YTLn9R4y54TBOWrdKY+der7aDJKle/u5p3OlZX3fiQftiYYwYbW0JvV0qWGWpmIGcZwcljoTt/TB2MR7SYocYxMBziy/C3AofM0ROub3NzGU3M0NbkDXrjzZd05pwpqlOvsipULqHO3Zpq2ozRuuyK+brptmW69sbFuvDSMzVnwYk6+tguSkiqpGo1Sqr/wC665rpL9fU3n5oeZaYBG++Eu8BCsjCMcPHidKDh8aIuIBdAG8KOYcyiYPoaRj/tBP6Qnz+H83A8DNJMm8baXtaFQrQgbRhcUb/xYIFbvlv4v0C0+Igs3zPKyDGDv2C7EfgCffr1Wl18+Q2qZUTryIqJwYhqUpcxSugyXnU6T1Q9RsH7GNHqO191+p9jeuNsVesxN+iwqdVtqhJ7nq6mvU5Vix7jlNh6kCrWaqXDSlZV7TpJGnb0cTpp4mlaueIq3XjDrVp23vJgdIupexMnnmyyecLay6+DWSZ08iE72njad+TAMRZcB3T20dayURmzDVhWwSwYb/dprwOibob3DqsfO+zo81+3WT5BQvhMwfsfvKPJ005S9Tql1bxtDU2fN0K3PXierr3rTF19lxGrVVN102Nn6MbHp+mWp2bo5idn6pqHpunah2bq1tXnGAlbqpsfPF+T5h6v+i0qqlr90rrgssX6du1XRmazg1HwzBxGfrEz8pWTucPayBTddPujqtW4s0rUbquGfU/UkDNXatxF92u06YsxVz6lMVc9q9FXPaeRVxguW6MRlzytkRc9rXEXrtbJy+7VMaefp4Ydh6l07Vbqc8xEvfPxt0rP22E6kFEtaxeMaPFdRfQDnTGMgAejWtvzjWixjsrK4z4iWu7C9ZR0VNLxze6sadYepQTIzkkPfqdnbA3w74/f1fwFs9SiZUMlNaqh3v1b64zZI4z0z9ONty7VNTcsDnTHWYtO07Bju6pBwyqqWLmUhg3vp0cevS/o3IFEouQYufL6t51RXNrKIoL1c6JFHSSuEaAnHbvci5/efQnXCegIlrpAtOAd2L7/VUSLCLuSI1GASktPCQY6xISeERKKv3gGBs4FsLcgTBovJwEYrPTkIHiIFj0+XIsar9H38htwDz+EA8EiXSgxDGFGtJjmxVol/HlaeN6dh7ev4OHHIipLjqSdOFFZMP4xTCE6zOGGsGDEo0iRDYqWNUWk0Y8+HRAQlh9JK6MSJUqUCNYdscaLZ1DaPOf+CBciS2HHMGb4lo1I2DkQf4DKQNxQ4pxD9jg6CUPWGNgsxOV9xJuyw3XSSPrA/pDz7uDy5ejwuBAvlzvxJ22QLdLsJJfpHMwbptywAJm5w8iFNQRM52DqBqOklFWmyyEP8skJMO9wcvJnBPLwI3IhrgCCzfoIiFZ06qCnxf3HypZ7yJNywBot1gcyhYVRcr8P/Nk9Kws8h9FUNHXQGpOQaFl9t6rLx2khWtsK2SbWjP67H1CpMtV0RJk6KlujrRocdbya9z5d9bqepoR+s1RvwHxV73WmqnY7Q7V6zFSDvnPVpJ8RrV4z1LDLaWra9SS17HqiEpsPVMXqLVWlRhONHHuy1hjRSkkJR/U83VEXP+77Hi5rL8Ms9k5lCklehr5d94VOnX6CEa1/KKldVZ0yd7guunW2Lrlrli5/6Ewtu/tkLbl3vC5+7CSd//AYnfvg8Tr/0TFa/tgELVt1spbfN03n3T5dExceo1otK6p0zSM0aeYpRrTeCEa0MM4gBBlGMBgdYK1WSmaOnnvlDbXpMUAlE1qpTrdjNWzuZZpw8d0afu5tGn7efUa2ntTQC1Zr3DWvadSKFzTCjKaJK5/ViMX3aszZt+m4mSvVqv8pZuh2V+tux+mamx/Sui25Sk63PM3eEYw+ZJnxlGH1NRfj0YgW2zf/EUTLHefI3IkWpCj8gPFWrV33rdY8+7hOPnW0atetqqpGopq3qqVe/Vrp2BHddczxXc2YaqWWbeoE9/gY7IBBXXTRJYv15lsvBRtrpKTy6Yyw/SNfvXxF4+HnfxYQR+oCcqHtYgYEOpKpg0yn5rMf6EQvs7FpAjiuI1f0L0sG6NyBaDENEV0S9R8PFsAvEi2QYyQ9Lcvaz2BtYb4R+AJ98c1aXXL59arf5CiVqpKk6o17qqmRpobdT1D9LhOU0HOK6vWaqVqmL2r1mqsaveaoerdZqtn9DNXtPlWNe09Wyz6nqnm3MarbrLfKVWuqkmVrql//oVp138N6+633gi3k+V7XmjUvqFXLNqpcuaq17TP0wQcfBfoU2dH2AGTIb4frY65TJrzNQqbYAZQVJ1g8zzVkGNoD2SHRKizQT1ZHfgrqiOkMkzNEKz0tVW+9/bpOOmWsqtYspaM6J2rekom665ELdf3d83TdPbN0wwOzdOPDM3T9w9N08xMzjHDN0FWrpuia+2fqlkfP0Y0PLNaNq87TGWePVcPWVVWpdgktXDpb//nyI9MRqcrKyVBufrihDR+IzsvervUb0vXIEy+rRSfTF3XaKLHHSA2YdoHGnn9n0DEz7vLVGr1ytU685nmNv8pw+XM6ceVzGrV8tU5Y/qgmmE4Zdur/z957wGtVXO/+n8//3vu7NzE2BKT33pEivffeQWkCNkSQbm/Yu0ZjSTT23nuN3Rijxq7YRerpvYPPf31nn8XZvL4HUQHROPCcXd7Zs2fWzKxZz7R9htr3m6T9G3ZU/9HT9crbq5WZX6aisMW7odTkZkRrc5haHJGtYtOT7AZYbGXBSoaph+Rl6ccicpzTppFvjEibLVZo9pIRLI6FRjgjspVp8mDX0o16+plHtXjpMeHTDo2bV1H7TrU1YEgHjZvUO+iL8ZP7asjwrqYzmqpNu/qaMHmYbrn1On319ScWVlZIW1S2K+zIrYqvHBVkq6LtrQD10GBet8Lvhd93PYg3R8ozo9/Y+yxzYVAAW5U64DaU+/XndqXbJUQLkCBXmPTcMyoBs8SIfPbZZ0NC+R2Q0ETnAvipIA4oWhQFQmdqFkPnGGsdO3YM0+joZec3N47jgid+rohQSgDjGf+QDQxjps+xboiP03p6PQx3Ht7OQjyOcbgsAXGJGu7I2AdM3aLBosGB+DCdAiKEP5QqRIleLchO/DlkyJF0A0ZfmNoG8SHtkIF47xjP8gxkiWum/vGRYggEo5ksUESRQ868tw0lznu55hl+83zBoIacsxnGhAkTwtRB8oLwiRfyqEwmuwK8y/M5DsoLcqe8cEQOxJ/7pJEyz3bvrBFEFsyP58hnBnxePAQE0sW0DowBniOd5A/v9EYxsazuSfB4uUwcEC3mSUMmnWiR7/zm/r38cu7gN9LL/GpGo+nZZs0Au23578Cf9bD8fnLwOwaUEy16qC2+Vm0D0TKdyxqtYjPE88zof+zRp1SnXjMdULOF9q/T0QjHZLXqO1stBxylgyacpDbjTlKDwUvMWFqslsNXqo2hxQB2Hjxa7fsfrY4D5qnboLlq1WmkqtXuoPpNOunI+Uv10iuvmxGTEcoKciDecZc87jsfLmvkXMQITzBkrP6V5GpD2hotOeEYHVD3j2rcsYbmLZuga+5epUtuW6HzbzlWZ91yhC5+YIEuf2yBzrt/js6+b4bOuX+Wzr1vni645xhdeNdinX3jYs07ebIadaqpqg331bHLj9Gb772pgiJGW6x8Z2cqOzfLrs2YMJljtL738WcaPmm6DmjeSTU6DdaYhWfp8PNu0sRTrtHUs27T4Vc9rakXPqyj/vqqphrhOuS8hzTnokc048zbNfu0GzRx4QVqP2imarbso/6jZumO+59VSlaZkSwZNod1WoVGpBlFY92DafxfhGihy6jTgBEDPsjKN7XWb1gTyNYTTz6o+QsOU68+HdW8Za2wdXuDxvsZsaqihk0OsPPqatehmeYdMU0333qN3nr7VaWmrQ/f5MrMQidH+hWd7O/m+MN15JcB8aIeUxaRDaMsbIIE0cJgYgobZAB/XmcSw8BxnzTTlvDhfdp8iBazC2izEp9JhAXwg0SrdDOGeEn5qFaxkXaL7zfrdcXVN6ht597a+0AjwW36q+OgWeo4eJ7aDDhcbYYcq+aDj1PjQUvUhLWcQ1eqqR1bj1iptsOOU7tBR6vDgMNMx0xQfSu71Wq3Ud36rbV8+UnKSDfDOrdIJcVblJ6WrSefeNZ0aZdAtJYtW2E69sMgE8oSbWNcH7p+9HP8IV9vUygjECpv94F3gCJvZBnWLVq6jWGZbMzeYYTH6kqJ/caoVlY50Tr6mLmq37iauvZqoeWnztFN9/CtrNN14/2n6sYHT9J19yzRDQ8v1w2PLNd1DywxMJ3QfnvozLBGi63el5w2x4hWfVWtu5fOuuBUffT5+0o1MpGbn226erPV2RLl5uSp2Opxakq2Xv3Xe5o0e4GqNe+qBt1HaeC8EzXt9Os0+4I7NeviezXt/Hs0989Pas7lT+qwS5/SvMue1rSz7tOss+7W7JP/qnFHnGJ6epKqNT5Ig8bP1ItvfKDUbMiUtS1WFJAX0+c2h/Wb6Ak2xGA0y2xDi49JBhryvXL0U4CLzskv7GQIcvm0xdJCi4+9s9TsrOK8cCwsyjEdmqqNm77Vs889rqXLj1bfAe1Vu97e+tO+/5+q1/yDmrWoplZta6tdxwYaOKSrjpo/Q/fef4u+/mZ1+E5ZcQkzcbB1WTYTdV5bLAzlio/UBYLlSKY/iLcBPekI9xL97XpQbhmdhWixiQud2nzeCb1CmU/UHZzvSrdLpg7ivFKTMHr0Gf1g6hRbiDL9Kyq4FYlNdC6AnwPi4ESL6VdMV6I3HCOXXRAhgN4IEU/i4wrJMwQlhCGEsnECwpaprHWCaPkiO/x7mnm3u8Q4/VzEC0cc8XiTHuLqipI4M42ANVXsTsRoHPOzaXAw4iE++MM/zwJkQfq5j8EPEWK+PAQNYxniw86NjO4hG97hR8AzNHI8w+gMxJRCT0NHgYfUkSeMEvJ+ziFakD/iyvO8m+182VmJjUf4/heEkffwO3nn+VSZXHY2eI/ncxzcQ2bEh2svO1zToCELpgnSu0rvCiNa5APz4TlnUxXk9Nxzz4UOAMqtpxF5Er43jP5+jsni+EuCeHF0eXAE9CZhMFF2GNGjHJE2/OA8PRz92sNChtQxyg8fLoWsMkrObzh/r/v343aBn61Gkxlt9lonWpzTuDKixXSrV175pzp26q59qtRXtbod1KbnBLXoMVXthhylDmOXqc2YFWo50owlQ5vhy9W8/wI17DFHzXvN00EDj1L7vrPUqc+hatSqv/ap2lzNWnfTCaecrXfe+9BkENVP5EA84i5pvHcBXHYVusMIULHVsawUrU9dozPOO0m1m1TXAfX/pJHTe+mau87WX8xwuujWpTr/NiNZDyzWhfccpXPumqOLHjxC5987V2fcMlvn3X6MLrpzmc6+frFmLh2nOq0PUNUG+2vx8Yv01vtvmZFaGBr23DzTPWwGYQSvwOLAt3E2pmfphFXnqV7b7trbjJ/uk47U7FOv0pHn36IjL75H8698XIdf/piO/Mszmnb2vZpxLt/IuVOHrbpZM0+6WsPnnKhm3cfYO/toypwleu6Vd5SRE41mZeSWKM8MtGIjUIUl0W5evwTRory7rgauezMy0k2vfmWG7ybTu+v06mv/0DXXXa5lK47RoTPGhcXro8cO1MzZE3XckiN0yWVn64WXnjSj6dPw3SzWcCBX9Dl1DH2J3vD3R/XMTMNgMH0/fr8kXF9QFgFtFCPh1HtmxDCjgfoS6mx5nfFncfFwSDPkAaJFhxZEi02wIG/ur1JQF3+AaLFpTomRD8h6Vp6RLSNa36xP1U2336v+Q8bqT1UbqnrDzmrfe4rpgcOM+M9T+6Hzw4YXzQctUqvhK9R2xAlGsFao8+jj1d5IWJu+h6ltn0PUsssoq3MHq8qBzdWwcTtrN8+1MmntStHmsI38po3peuzRJ8OIVo0atbRo0WL95z/vmmyizmBkRDq8Xnu64jLyeo8cKX/YArQ7lBuep9wAtwswwAPZYESLXRlNBlQKZLXZwsjMTA9Ea/HSBWrUtJaam2F/+LETdf3tZ+uORy7SjfedboTrRF1zx1Jd/8BKXXPvEv3l7sW63sjXjQ+fob+ZTrnuzjN1w70Xae5xk9W0fS3tX/OP+vN1l2jNBrMJctJCBxByLzO5E8fiopIwuvfZl2t11kVXqWHH3jqgZXcdNHaOxi89X7PPuVGzzrvVdMStmn3R/Zp53n1hi3e2dp922h2acdqtOsz0xZg5K43cjlS91t01a/4KvfHeZ0rNMj1oDUKJyZ3NiqIdabHzIpQa6SoxOZSYDHYm0apAVE+/D/LBbFZ2SjV9FdZq5WYE4rVx0xo99/yjOuvc49WzTxsdUP2Plhc1NXR4T82YNU4LFh6mP195np5/8QmtXfdlGMmKRrOYNkibzXKfqLxEI1vff78TLXffjzf34kj8fdeDOuBEiynHfKj8N0W03HkiMA4ZhWD0g2lTEC6+Z4UijCcW54neWSBsH/ZGiWDE8i0IRg8wctmNCAKB4PFLfDgnzq7wUTAoH4gBR4gBU9kw/DEaWetEppKB+I+nB5cYp58LDz8RHl+HpwVlhBKFwNx4442BtDCqRePF7omkCRLgDT3PcI9z7vEb18gJ45apFyxKptHji/2QI96BzCAW3psGSXACxSjYjBkzwtojiAVGNlNCCJv8SQTvIgxIGkSW55hydvbZZ4fwnBgSR5d7MpnsKpAHiYjLnWuOxI0jQC7IkUYeudMzy644gE0w2NyBUVfyibQhvzjR8rAIG+fvTBa/XwoeL85dFhy5B9FiRI+1eqyX+DFECz+M8EHWMbhYq4UM/Z0c4/53SC4s4sWQMvBKJ1klBida3N9sDew7b7+nqVNn6v/tVVXV6rVVk4MGq2WPiWrPx4hHHGsE6zi1Hr5YrYYsUstBx6iVkavW/Y9Um35z1ab3TLXoMl7NO47QgfU7ab9qzdSr70hdfe2NWvPteisXkb6J5627pPHeBXDZUcbCZhi5ZpznZenbdV9rrRk41/39z+rcs43+VP1/qV3PhjrjiuPMUDpXl99+gs6/eZEuu3eZLrxzgc66Za4uuOtIXXTffJ1721E679aFuvTOE3TG1Ys08cghqtmsihq3tefPP0Pvr/5AbK1eWhqNoLHmgSl8+cVGEIqZjrNFz7z0ugaMmaZ9G7RXrfZ9NWzOch138S1aeOldOvy828NHSGefe5dmGY646D7NPusmzTz1Wk1cdI66jZmrWm36qGnngVpyyvl656M1Ss0sMWOtROk5bGBgBpKVgRKTe5kZTUwl3V1EK15OXc+iHzgvZOtmM2wjPbjRdGSKYaO+WfOF3v/gbb366vN68qmH9Ohj9+uFF57Su++9qW/XfhnWaWBshU1MLP9Y64UeAYRP3kbvJa+pH1GikvdM/zIgfsgEUB+oF2zJzLRrtnfHfvA1uviN1xme96OHwfPoUNZm0zEK0aINQc/G35sUyCroB5MVxmUMbnAyElpg9SXTZJyamaW0rByt3Ziqx55+XjPnztcBNZpo/1pt1Lb7OHUaMD2QrQ6Dj1DrAUeoRV/TD4MXqu2Q49RqwAJ1HLZI7QceoY4DDlPn/tPVvMMQ7XdgK/3fvWqpa/eBuvXWu8W2/Pl5xSosKFVOdoGee/ZF9erZR/XrN9TSpcv13nsfmEyitHsZo0zRfrhMHMjO2xSOlBHKirflHCFZ6Gjuc4+yEgiG1dstjOpYPYnIVpR3+fl5+vSzj3XJ5ReoS7d2qtvoAI2b1l+X//UU3fnoZbru9lMMJ+pvd5+o6+5aoavuWKxr7l6hGx48Tdffd4auvQOidY6uummVRkzuHT5v0LBFTd16z40m200qMCJBhwwj36VWP5myWGLy5xMJGZm5euiJ5zRw7FRVbX6Q6ncbqv6zFmv6KX/WvPNu1Jzzbwnf4Tvs3Ds15xz0x306bNWdmn3q3zVl0QXqOfow1W3dQ+17DNX5V9ygz9akBj0RPg5sBAtiFycb7FDLh83LOCIXk4JJfNsy9BOBPKN6GhG7iPxUoKSE9BcFfcUnG8JolOktCBPrO1PT1uqxJ+7R5Kkj1LhJDQ0a0lOXXn62/vHCY3rz7Vcsj97TppRvg85gNKyoONfeA/kg7GjkEvhug8DJJXFyolWBxDRQDx2Jv+0eUGadaGGrQ7SYVUNZ/00RLa/sKEW+3zR58uSgKDG4GeHit3hicZz79c4AccC4RVnQeCFopgz6VqYsjGVqG8qY9+IfxQSIG9dkCgoHoobhz65xrDdiOJLpkEwjJGwy0NPMu90lxunnojL58G4HflyBkhZXmBBNttlnrRDb7DPCxzo10uZwZYvidUMf4A9iClFibRpkjV1dIEv4532u1F1pQ04hpvQknHPOOWGjB9Z3sTEKa8QwvjEoeA5FzjPElecYwcCPf7iXTSRY70Wc+N1lznuTyWN3Anl7+QHci+cF8SS+yNfjzxHCCKn0a2TBOfLm3PODOkQ5JDx3iXHYE4Dz8klcvQ5xj4Wo7GTFaDJE6/bbbw9pw48/5379HBAW1xBUpg4yhYjpv2wy4u/093FMPK8UgWgB3h2RLGtTtyVa9qfUjP6vvvxKF198merUb6oDajZVrWZd1eLgUWpnBlHHEUepzfCj1WzAPDXrO1etBx6ujkPn66DBR6pdn9nmb5IatR+uus16q2qtdmrUrIvmHrFYTz/7sjKz2KEymmqKHEhn3CWN9y6Ay5x4sHFCeroZGRkp2piyTlk5qXr2hcc1ZeZY7V97L9VucYCmHzNS5169VJfceLzOu+E4XXL7Mv353pW68PZjjVwdrUvuXqRL71mmi25frgtuWqFFZ85Sv3FdjGhVVf+R/XXTnaZ31n0bDFUa9mIIlxkKRUa6CjBe2eHL4rM+PVurLrrKyN1Q7V23lZr3HKWJx5ymWSdersNOu0ZHX3i7Zp15g2ae/jcdfu7NmnXq1Zqw6GwNmWmkt/do1WjRVb2GTdIVf71N32zIVkp6gRnFxcrKLQ5bcZcauy6lnJUTj8ioiQzIbYhWDMnk92MRL9fInLodtTt0jLEJEbMR8oMuWLdubThixLJOI1rDRecYemOTXWfb86yxYV1tpuUfW15H+p62D31aYVhQv2Ks0RAZTT8XO6fNRh5e74kvsqEd4BMZEC3aXTpt0Yfuh2f8eXceDummfWKjIT6vAdHim1zMmIi/NykINxAtYGkEGJmGMN3YULbZYMY2I7EZJu9N6ZlavylNr//7HZ146lmq07C19q7aRC0OGqL2PSeofZ+pRqRmqU3f2Wrea5Za9jZ90fdwwzx1ML3Rof9sdbbfD+o9SbUaddUf9q6vA6o11szZR5nN9K9AsvLzrJwUloUphM89+4I6tD9IVatW13HHLQlEi50kPQ1evmhbXSZ+dPly7rKijaK8IF/accqkt1uc+8YMkbFtz5oBHj7ybmESXqGRnk0pG/Xo4w9rxuwpatD0QHXt3UoLV87QlTecqqtuPFk33HWmbr7/LF1/zyn66z0n6+/3n66bHjxHtzx0gW65/2Jde+u5WnXxMnXr38aI1gEaM3moXnjlGauz6VZnLX75Vv5zrcyzAyD6o9BIJNOdLX7vfbQ6jIK36TVIVVt2UYv+4zRk3godcsIlmrvqb5p31o2GW3Q4OPMWzT7l75q08GL1GX+MmnQapPqtumn89KP06DOvaW1qjrLyrd6YHEsYySsnWmG3WjtuJVpcQ4ys3G1Tfn4GvG7yHkhO+FByDBEZIu/YSIe17KY/TW+xOUZmVmogTy+/8qymTB2r+g1qavyEkXr4kfuUkrourOWiYwbQMQNJKzH969MGCYt3+rsdXEfpj+p8xWjXjugAfgPu96ciWdjbAseRcszGORAtBgaYMfSbJFokhAqM0c2IBmuzmDrIiBJGklf4uHC4jif+54LwUBgoC458S4u1IRjvzPdmzQ9bmNJrFvXYRD1AKBquAdc0WExZwy+96fvvv3/Yn59pYChtwnal5fF3F4/PzkBl8uHdALm7gkT2TnpICz15TE/jo8NMpSAvmFZB2hiZcnJEI01BdeIDCWDEBUMZ0lOlSpUwMkkjSNqRF+l3pcw93ovcfDogvQuQbMg2I1Rs989uUHyDzIkG0xCZKgJ5ZZoj5JxRQ0ZBIGoY2248EDcqDOkizclksquQmK/kiZdnwD3PC4B8kIuTfuLOPdKMrEgDRwfywD8grV4WPe8Jm/PEePzSwMXj6DqAe3GiBeGujGjF5Rb/jbJLuWWbZwgX0379nf4+j0f8vFKw+5oFb/rbjIVtiRbnoYEtLVGxGQ/Zlg8vPP+CBg8Zqf0PrK9q9VqreedBattnojoOm6M2Q+YYyZqhlv1m2/UR6jTkcLXpfYhadp+oVt3Gq0GbgarRsItqNeig3v1G68KLr9Ynq7+yOkLnQmTYkFbPU3dJ470L4LKnDke6IzeMpqxbv0Y5+Rn64uuPdeGlq3RQj1aqVn8vtehSWzOMbJ3zlyW66IYVOvu6Rbry7pN09f2n6LI7l+vi25bo8juP12W3naRTLz9WEw8fqhZd66tuy1qat2CeXnrdSKYZSyXWgEOy2NK8mDUHpYUqxnhAlxgBzTfC9dLr/9GMI47TgY3baf/6bdWy5wgNm7FIhx1/iQ4/42odueo6M5iu1GGG8QvOUKeRM9W8xwjVaNVVjTr20hFLT9Y/Xv2PMnJKlZrBN49KVMAHZovLLH+trFHmrBBsMUREy/QJi94tPzCyy22erUgmvx+LeD5z7bIvNlIPycrJob1ilIvZBRAm9DdT6WhPMYZoa6IdC9GB+Nu0aWPQs95J46COue6Ij2SB7xsyPwfJ0/pj4OUQUB+QSSLRom2gbfHfva7zLEeXKdfIBl3KNHk6FyFabGFOp6G/s1IQ3laiVQ4MTYzLcqIVfeiaqafF4fMEGeh4y7s161N00613qUfvwfp/e9dWg+bd1Lz9ILU+eLQ69j1EHfpOV9teYJba952jTkayOg04TO16TVX7HhPVrN0A7V2lsfat0lA9eg7Vn6/4q77+ap0KMPxNSTF1kO/v/eO5l9S+XcewxfuKFcfrww8/DuXCy5PrlGSy4p7/Dviduu+g3UEvUX5otziPnkWfMwJMecRmisKkHkXfFcvR+x++p7POPV3tDmqu+s2qq+/Qg3Tc8bN18V9O0E33XqCb7z1P1xvhuv6eM/W3u87Q9Xeu0q0PXGJE63Kdd8UJmrtgipq3q6embepr1fmn6bMvP7Fwrd3Pzw4jWnkFeUZyrJxQV418bSn/sO7aDRt1zyOPa9zMuTqwRUcd0KKzWg+YoAEzj9Pkxefq0OWXaNaJV2n2iX/RIUsu14T556vX+EVq2HGoajXtoq59R+qUsy/VB5+t1aaMPOWYfmZjpEKrl5GsorIOwXCiFXTHLiBa/h4nOhGxiuCkh3PIEes6GcWGdEGamI3w/AtPa+y4EWav1dC0QybpH88bWc1OV2raBrOD1xjpWm/PQKDLiZqVYQ+fcydX/m7iE9cbHgcQlQHuJ0tP5H/nIFn42wLHkfL72GOPBaLFEp/58+eHJRmUc/Shl31/jvNd6XY60fLKTIKAJ5gNGDDS582bFxay85snkkT7+c4Ezo1/FAXnbK5w2mmnhREZFDdkgyl1GHIYufhzgoJ/pqoxXYFvUkAWIWhMY2MKHQSFHjPSiFIn7e7IOK7jmbk74EqW+DjJ8vT79D+mDZJ+RpcYHWDeOmmENNJYkx7SzjOkj7VFEB/W1rDrGyOCjIahgF1OgHc5kfD7PE/BZstZiCk7B7J7FIQL0spGGWy1//e//z1Mw2Q3SHaoZHdERg2RNaNwjMYRrodJ+JQbbxh2t5y3B8974ud5ES9XgLLmMuZ3ZOSGE79zn3Rx7XWJMIG/J9F53rvfRD/+nIN4/pDcdsSPAxf3y7krNKb+nXzyyd8jWsTTn3P4s54GjtRPpr2yGQZl1qcOJoOHsV1AtMrbDmsLwtTBMH3QbkHv+ClsDGEkgOlta79do7/85WrVb9RCB9ZvoSbte6t2q95q3HWk2gww42koazDorZ6mdn2mqX2fyWplhlWD1v2MZHWyZ9qpa69hOv7kc/XCS29Yg2ckOo9penxEtoJE72rg4tcuZy+rURlkmmt62FCBtVr5RZn655svaumJx6plx/qqUvt/1K57Ax169AiddP5RWvXnRTrvuqW64paT9Jc7T9UVt58UCNhpRrIOXz5ZnQe2Uo0mVdRtQDddff3V+mrtNyqwd2Cg0hPLR4LDLl6BbJnMLQ65RjjSs4zwGcm468EnNGH64arVpL32r9dSTToPVOeh09Rz/DyNOfIEDZy+UP0PPUZdRk1Xrfa9tFe9FkayemjWMUt1uz37iRmpaZlmNOYZkTEjlW2hi41o8cHe6FtSyB5Q3gx2bZZ0DCa0csRl93Pgcgcud0a0qPeMZlEu8vOZIcAoRjRdDLBGZ7MVVAzuwkI2aGIUrNj0LqNY6O2KjkWMqMhoik/5ieAJSjzHsMJ4c8OLe26AbR8VbZ07T6frgHj6twdkgUx4jg4aPgvxxz/+MbRXbCpE+xQPj3O/9iPxQXcya4BvZrKBE9MH/fuZHl/3/z3HrSAWLwNkvsnKYNZNAGSL7xnxIVtGRcm/vPxCIwUFevOt93TqGeepRp3mqnJgM1Wv294IVH917jtJBw88VJ36gek6eMBsdRt0mDr0nqpmBw1XvWY9tN+BLbTXvnXVsXM/HX/CWXrppX8p0wx/8r6s9LtQHiBaTzz+jLWTHcIaLSda/uFzZAe8jLmsKoPLAr88R9vjbRZH8iSSWVQeIiM8Gs3CsZY1OydXqelp+uKrL/TQIw/o6GPnGdlqqlr191H7gxtqxuGjdOaFx+mqv5+hG+8+Tzca4frb7Wfr2ltW6dqbz9aFV56sw4+dqk49W6l2/SoaMXqQHnn8fgtzg8k02iyHDUgYYSIu4ZtPhTkqLmBUl9GuPL394Ue68KprNWTiIarR8iDt17i96eghOmjIIeo36Rj1Hn+MDh51hPpNOFadh8wJu5L+sUZrNe/YW8csPVmPPvOy1qVmKzOvSFmWjwWFVn/QEeUySlynRQcN8tueS5T19kF5rKinyYDso/dHeUD5Y8p3ZDOY/shnw7bnzF4db3WmgaZMmainn35SOUbGGPVmJ1LIWUEhy0Wi72Y5saoIOzlcj5RXjoQ4Rai4R1mJwvTn4v4T78Xh4dMSV9xPJq8KePkF2KHsUIqNyYgWn87BXvff8cszu8vtdKLlCaCyoixRimyzyJQzSApGM1uNowRx7teFtbNAPFAOFD4nUCgPiARDimyGQS8XhjwkkE0aGO0irkxRwxCkJwxCxegNm0gw/YDedLZJZ1EuvWVuOBM2GejOM93lsbvA+5Bn1HBHI1vkAecQI0bv2GCCOauMykF42AWOdWd8r4RpFkwJpJBCkBnxokeRdPu6NJ6lp5HwACMzPvoCkLeTB97v5IjRKz7gizzZBYqGk9EqSBXGN70PToBZR8eaHD7ay0gihjbvoJcWwujKn3TtbhnvCIiTlwHg9YE4e7kk7pzzm/uL+00GfifcROfv4lkQ9xOPjyP+vsTfQGJa4teVAed+OXp8OFJedoRoxcPxa/z8ENHC+bk/90NwXV4Z0aK3MnzXKGVDwLvvvqOj5h+rJi07aJ8DG6pqg/aq1rSrDmzVR/U6DlGjzsPUqNMQNewwSPXbWH1p3EVV6rRRzYbt1aXnMC1ccooeevRZfbs2RfkFEZnIzY3qyo7GeVeAdyNjzy+fQsKmClk5fLjY6nj2Jr3wypNatPwIdTi4mZHHP6lZxxrqPqilhkzqqqlHDNaRKyZq0amH6NiTp2nuknEaN7OfDurTTHVbVleHnm219KSlevWN143wsFuWlXHKhsl483dmVG+JiFahGU/5ZgBkZuVo46Z0M7Ky9NmX3+oeI0xzjj5OTdt10wENWql60446sOXBath5gBp0GqAarbtpfzOqqjZpp7Y9B2recSt024OP6oPPv9ZGI7UpZjzl5NBDD5A5dYm0x2VR3shvNa4dUTkJZSUmt58Llzv1Gj1AOUAnsE6rqAjdZig0o7cchQVgc0BBfqkZ3EYaw3Sy4jDawcgWo2KEhwGWaCRVGCxxQ4ZyF92LjKXyUb1yxJ934yiO6LkKPUK63HkaXQfE054M/ozrSJ5j2jlrtBjJpq2mQ/CHiBaO9xEGRIvOO/QObc5ll132E4mWAbkhq3KiBdj1DTlhIJN/TP0sKSnT+vWpevjRpzR91lFGNvqoSrWmRrhaqH7z7mrcuq/qteitus16qWGr/mrSdpAat7Ey3KCT9q3eTAfWaaWDew7V0uWn65FHn9NXX64Pa7LYbRCixYgW14899pRat26n6tVrfI9oAZf7jsg+Dn82sd3ht3h58fBxlNX0jCxt2JiiNd9+qzf/86Zuvu3vOnrBXHU6uJWq1t5L9ZpWVY8BbTRpxiAtWDZNJ646Qqefv1Ann32Mjl48TcPH9lTLtnXVsGlNdet5kM48+xR99Ml7YQMM3yyHDxUXWNvJaFqY5ltiddnIVm6e6aisNK3ZsEGvvf2OkbmbNeOo49Sxj9mdLbuqRvOuqmc6uWbL3qYjuutAk33VRt1Vo0k3dew10kjWKbr/sWf1+Tcb9O3GNK0z3ZOdb3lr6WNTJO+QiUb04nWgQraVOf99x1Ah38qwbd2rsPcof6yrQoewPGfq1ClmrzUOM4OYVYZdxhRk6k/0fT23QSpGsBLfARJ1gPvxshD3wzn3aUUZ9dyyJdIh8ec492f8vt9zP1EY2+qn5PKqQLzMO9HyjdSw97E/+S3Kx0rq/S5yO51oeeRJEIkmwSz4HzJkSCBaMEvWRVF5cfjHnwtrZwFBUvCIB4XJR1ow+hm5Yb0RRrzvRgTZYGoSIy7EtUePHoFYQSwYWYEUQBYhZIyusL4I0obx78SCd/FuHO/3TE2M264G7/XGyhtvzokncWZ0gc0YIJGkl/VqpA/CA7lhaiVruEaPHh3ID72BAPlAupi+QbqdZHGk8npPKnDySWVG9viBbDH9j2mErI9j23YILISXODClkPU7yJkdBtmOn/V9PONrmTjybsqPpy+ZDH5JuIvf88rt5YL4u1JILCPuB+DHGzt/ht/jjmfcP/Bw/Ld4eHEQVjIkxufHgHB53t/pcYZo8XmBPYtoAZ5LRrSYTlOs3JwMZaVvVE5Gir749BPTZQ9r3pHHGtnopwMbtLXGuoOqNOyoveu20z5122rfum20d82W2qt6E+1bs7nqNO6ooWMO1Qmnna9HnnheX3+z0YwCM8gKWBNBJw11E5knj+PuRCRz0x3WWBeXTynJzc00wyZbpZsLlJL2rZ5+7mGdcfbxGja6j9p2aaQ6TfZT7ab7GOk6UO171FenPo3VuV9TM14a2r2aaty2pnoO6moka4meePYprU/ZpGJLbyk7eWG8hH9WD75jdMuMBIiW6Y6srGwjWmn6Zs06I1t2npahZ194RaeedWEY3eo2aEwYtarbpouadu6rlt36q/uw8Tr0qEU698/X6PEXXtan9uwGI2rrU9JMb2SacZpXjlwzzozclhulYXQzyMAKgxvV34MVCjsmk9tPBe/2ekg9qdDZgNGraAQLA7u0xMx6Q3ERhvZmI1eMcEXkCxKGP6YWev1z4yVsR81nDMqne33fkLGy9x3GED33jMyY32AgWb3dHO1sxm8eRgC/f0ebHcGJVsW7TV7ljmvSx2+J6a8McX1HLzRbM0O0aIv5lArtS/xdcXAPx+/IkvYuTrSYPcHsCn8+Mb5bHbfK83wrkFtARLI4BtmwVssM1UJGfwpMXla2C61+f/bZ17rx5rs094hFatuhl6rXaq5qtVqoaq2WgVDtU7WZHVto32otVL1OW1Wr01qNmnfRyLGH6twL/qxn/vGqvvhqvbWbOVZmjVyUWHkxJcXIZm5OoR595Em1atU2EK2VK08wm+QTi0dFukijI1FOlcEd53H5VPxm5yYYRnJYtxTCtrtFVmYzMrOVkpquTVbf1rI2++MP9eAj9+vEU5ZrwJCeatyidtggo2HzamrXub569G+pAUM7qu/gDurQuZHqN6qieg2radiI/lp19ml68eV/KCs7w+yIQtMJRgwYrTEbA3sCcsD6sNISiG6h/ZarzKz0MH2TjUneX/257nn4SZ1yzqWaOPMode47UrWbddZ+tVurVlOzOQ4erj7Dp+uw+Sfrkr/coqdf+Kc+/WqtPZurjamZpusYQcO2sBoSiJbL1cp8HKE+RfWtMufy2zFEYSUHvzkqniFexJF2JALfrv2XDjnkUKszTY1oTdWzzz4X7qNb3EZzogVpjUai4uFWvDOq39uSLSdF6AN0gwN9QOuJXqGObDG97voj0j/om/JnynVOpHfKdYzpouCvvBUO4QQ9Q1wq0pwM8TJPGWGTMXYoZkQLexLeUZGPUVp3l9ulm2GgYDGK+XYSu/wxSsGiNJQnv+FILOcuKBfAzwXhuLLG6IcQMBoCIcDoZ0oCo1cQJ75dBIlgagEjLKwlY5oj5AMSxm+QMr5vRE8BGzxg+LE5BoY/lZ/3kOb4++OZ6fd3B4iHx4c4IF9Aw0NcMXDp6WNKIOuk2G6cb1xBqiBbjCgx0sURAgT5YYolI3ysjUF+Pv/fyatXWmTt70DW3KNScw9wDmHi3ffdd1/YKn/VqlVh/Q6gUbzjjjvComcIoRMsSBpliTAIk/SQPk9jMjnsySDepCFeThzxexw9P4E/w29ertwPSLzveQ88DIcbdg5IK0f8ejg4zncUPOt54u/kSH3bk4hWMJzMH8NZXKKNQJxoFRblKzc7TYVGNvIyU/XJB+/pyy++1IMPPa5Tz7xQI8bPULtug0KP6X51W2nf2s1VvVFbNWjVWe0O7q+hYw/RUceu1HV/v0Mv/fNtbdiUbqSlNJCsXKallJOsMjPMfimihfPzSOaUNSOBrKFiChmLpEvpQbbGuSDTjKg1ev/Df+v2u6/XCacepzETB6lr77Zq1bGe6jbdXwfW/6ORy33UvENt9RjQQVNnj9MFl52r5176h9asX6eMHNMDBVbewvooK7flDS8NbDDsmTpoBhVT5/iYM0ZbRlaOCox4pJoh958PPtH9jz2ti//yNy05ZZUWnnCalp56lk674DJdY0btky/9U++t/kJrU+25vHxl5uYrLZ0OoWwVGLHNt+u8nFyVmBEF0YrW3pgcEIUb1NtBXHY/Fe68jFO+qSMO6kxEtugks3paPpJhtpAZljJSxTbfFeSL35hKGPW6R8ZRRIAwiiLjJTJg3GChzlUQLYwcCJVvFx2IVzB8ovt+7vDwHBhfrkO8vns6Obo+iMugMuDXwyA8eqGxGaj3dPZR79H/+AM84+/x5/3I8xCtCy+8MOgdZkv8+c9/Dmu1+d3l72Fs47i1HaIF2HkvgpVdqzPsgEe52sxobXGZ6bcCffKp6Qsz+E89/XxNmDxLnbsNUKNmHVXddMV+1Rqrao1matqimzqZHhk8fIrmLzxB1994l9565yOt25hhZT/fyIa1qbnshml1dHNEtBjReuThJ9SyZZtAtE444SR98smnlq4oTV6uPJ0un50CJ1pW1gCiYoQ6x+pWFlNYrY5nWR2D9Hzz7dd65Z8v6vq/X6vlKxdp/KSR6t6rg1qxBqvFgWrcrJqaNDtQrdoY8ep1kA45dIIuv+Ji/etfr4WNNSBU8VlDtP8Y0VHHNvWEjbiizgCmEuYX5ivH6j0bk3z+zTr98633dcvdD2vpCawxHWz6qbV6DZqgFadcpGv+fn/47MPnazZqfUqG1m9KDQQrhw6wIqt/QTdH7W2FLK1sGyrKAii/V4lLKsNKQV5FdfT7qPAXd1wyOk87Auhw+ec//6Vp0w5V48bNNGXKND3//IvBD+UD2Tmoa/EyUuG49nJDeaJdp15GnQpOuiKiZGWzHOgDCFZEssp1ekyvBH1hOsTvMyIM3I/rFw8jguutivRXBs8rbIunnnoq8A6IFjPpsDk9P7+f3l3rdsmIFvCCiVHu30LCeGdEhNEgfnO/rpg98TsDhIXx70Y/RroDksAmDYxsochhvpAopjbxbSg2amDkjbnhrF9ibREKnl55SBZpQllzHl8vVFn843LZ1cARDyoQR78mfoDGxysY8iEN//rXvwIZphFiC27Sz8YV7KrINMlLLrkkTKfEWIaw8hwNGAovGoaOlCDhOrHyES7ewzu5z3MA/+QJsoOsUh4g3+wKw+gV6+IgV8jZ847wCIdy4+FxjouXpT0ByDsZ4n6IsyOZX4Bzv55/IJ5e95P4rOd1IuJK1uF54/kYLzs4zv192wPO08O1x5vjnjaiZZ4M1jjScNo1zSQkK060WJ+Vl5OuEr7Gb4Trm89XK8fK4tdfrbH3v6Obb39QZ5x3hRYsP12zj1mmGUcep3nHLtfiE07XORddqVvufEAvvPJvffbVOqWbwVRsDSAEgyleTLUJvc80kHbvlxzRcllHeRU1qPl5OcF4NAHZfcpOftQghl2qcsMWwm/+51Xd+8CtuuIvF+rEUxdr7pHTNG3GaE03crVw6TxdePkq3fPQbXrng7e1MS1FWWaIZZrxmZtnuqLEZEEZpeEOjWvUwNLQhjUHVh7ZEII1ErmsWUJnFBSGLbTXbEjRh59/pTfe+0hvfbhab7z/sd7+6FN9ZobVRiNj6WboZZihl2N6qMDKc4E9l2vXbGxSyD3TS1uJlhkmkC1rzS2plIvtI5n8fizcVdxD/pQBl39FXcdoKjVZMZoREauIbJVh6xNtinEA+UgY5b3FWw2WOMqNllDC7aEAiG5kEJG/YReycsMnhFEeFr87+C0ONjRx/cERPUN5crcj9dERpbmCaNELTVvMiBadfqyx5n5UViM9iPPnucf7OBIO7RufIaEDlVkrbAZF++L+PG7fc9wKIoryPcCMvQgI39JosvjOZBOmSDFyyJol8g1di6FeXGrEI0+bUjP0/oef6oGHntAFF/9ZS5afrCOOXqzZcxZo9txjtXjJyTrznMt040336MWX39AXX69XaoYRlex8ZbNOryBaowfRdqKVlZmnhx58zIhW67AZxsknn6pPP/3c0lNRnxPTuCNw/4nP+D3WotlfE4fpBTvnQ++Iiul11FXimpNbGNKdnWuEy2yElLTUsG7rtddf1Z133aaLLz1Py1Ys0PwFs3T4EYfqiCNnaOXKhbryykv06GMPmj3wvrX50fpv2iM6XajDdD54OYvKCB2GrOnEWGfLf8tzu5djtkI6m8iYrknPytOHq7/UjbfeqyEjJqh2g5Y6dPZ8Pf7MP7X6yxSlZBWFDXIysnMsnqxLZVMJK++WHsDaM9KPLIM8DXxbLVQ8CggEgDaEtqQSF5fjDwO5U66TocJf3HFp0bL4Un84btFrr72uqVMPCSNa06YdohdeeNHkE+UjdSfk5XbLB/eiOsw1uslJFh1xyB0gdydLwMnS5i3oCn6zds90Cnqi4reoA4f7fPsLJPqJky10VNBb34vj9+HpwbZguuTgwYPDZhjYtCxZctvG07y73C5dowUwzDGqWJTGHGsMeXaWwx8Z7X5dSJ54jj8HhIXBj5HuBjvGOkfixIgO4JxRE+ZtQyTYXQ/iwZFdSrjHLkWEBUHzNUIcCZvw3OjnnZ6GOHZGenYUOOLglQlH3LzxAhjX3lhxRC6kCdLDnHgaM6ZoMEUSOZB+iBXEiPQiT4DsIFsQKleKDhQiR+LAu92ox58TNDfykS1H4uJ5hnzxh3+Pr6eBa8L39CWT+S8J4pOIZH7Il3i5iSPu1/2R9rh/fnMXDxNZuYyQK+cOrhOBjJE7+cgRf4TjLjE+lSHRL+fEmeOOboYRD8ev8bNziRYNJFYLBpMpc7tGlaPSzYYNZqhJOSj/wvwsbS7KUWl+prJS1ivXyn1Whhnzabn6dm2GNdYb9M4nX+uNdz/Ra2+9r1ffek//fvdDfWCNO4SAxj6/sFSFRWXWoFDfyEviR3wtCvRAllTeSbOrwXuRL/lE/WIaCQZLSTHfyjHZ0MBaw+ofKS2zhrWQNRF8sylrk1JSv9U3336mDz56S6+/8YJefuWZ8IHdt9/5pz794gOtWf+VGT2pyrNyxbo0NqMoKDQ5lH5nxNPqMg22NbAQLcgAPaRMWeTbOBhXrMdgR7e8QohWgRGt7DCylcWmA4wMWhgZZoxCsFK4z7o3e451XmEzE0NYl5CdZeTNSFZ+biCRJVbuf6kRLfsfA9fkPfWackB5pD2MygP5A9liZIspgiXF1l5aQY2MboAfg/lnOp8TIwyd74JMI7lWEK3IcLEnA4IBY/d4BkOJKVh8ABXjB6PHSRh5xO/UibiBFPmP9Ab6A6B3KFPEH1eR7h9GVAajXnb0GB2hTPvxES2MJe67Lkx8nnsgkltpIFVsZMW0QzZzokMV8uV+vN59z3EriMhOHJZHQW+YTLYCeWIUmtzJN/xssczhsxBljPLkmQ5BFxvxysjM0Vdfr9X7H6zWW2+/rzf+/a5e/edbesnI1XtGxNavTzf/RlZMV2Tm5Fs5t3rGej3TD0VFhGvRsPxmjRYf6X3g/kcC0apdu65OPfV0s6u+iMpCebo8bZ7WuJwqQ6JcHH4vEC3SiM40ONGiAykvn81ASgLRyjSCA0hzuunLtAxGw1P0jdlZq1d/pLffxsZ6zfLzVbO3XtI7/3lD33z9hRHIdKv3kT1A/adDyjumAG2Tlw/KAGQrrN2yek5ciCPljw/B5+SyBrbQ9PRGPfDw4xo5ZqJq12uiI43kvvP+Z6ZLipWZXWxxM5vG9ApTliFZvJsy5jKI3lPe9qIvQscM5YGjlcFfgGgBd5yiD9ALAdam/POfr4d197S3HFnuQfxdbolhAc9jB/ei8CkX2F4RyWKmA9/ycl1QoQ/MpivJM11BRw3EK7oX3Y+IlINrdIeD592Pk61t9dX3018ZiDv2JRvnsAwGosUnhXwTvsT07Q63y4iWZyoGMzvUsfaHXiXW5mA04YcMx79nfDzxHH8uqCw0AJACSAJHMoDGAGPep6Phx41TKpkbqBz5DWCM4pfnIWiQAO7jx9MRRzweOys9OwJ/F7L3e8Qv3nh5Op0ccc/zC78c8YO8kJVfu+zIU5eHE1j/zcNELoCwCdPzAv8c43Imbol+CIt3ch/gl3cQvsfX05co7z0NyVwyf5UhsWzFEXdcIxtkhBy9fCJHz/NE8Dv+ka3LnfvI111c1tsDjjj4NedenvZIolVuLNGIReamzCzFdLJ3mpXFmqFSawRKCzJVyA58WenKy8hQPr21mSaznFIz6Lcox4ygzPxSZeZanckrCtsC5xWbAWDGR4k1ysXsEIfBYI24r8cijoxklUG8MPiTxnPnw51fEw/k6/UvEC1rVJ1oAf9eDj2YhWyvnJul1JQNVv8ZzbcyY2Q0N9dkk2dyKsg2QkDnEw1ojrJy0kOvNrvjQa7sFVYW7cj5VqJVYIYbvZgYUVYejRgxvY9t5iFZ6VkZRp5MB5cUG5Ey/WPhZZkBm4WusLIK6YKAZdoz9KqXoOvQG3YsNHKF8ZaNAQfJys1WHqTLjLgt9FbvQUQrECxKHyMkYdofdSfS3cUYmXz7q8TyrNzgZrpgtH6EMlX+bABlmpLsKCcEwWBxoDvsneUlH0KFkYPRk295yNF7qCsMqTi5ygnAbwEfkTUdgu7wNoDyRNpwP1wfI+BIq7dVHJnpwLQfvp+H/UAnoLcLhIuLh8FzgN8ozxAtPg0C0WIKPNPffzrRQmeYHMv1hoPpg5utHG+xehIMb8K2fGH0gy3PKcNse15k8d5s4dDZwo6jWVl8OiVbqWnWzuZbe2xEOkwtNlKdbWU6M9f0TD4dNZAMKwv2eh/R2kq0WrRWnTr1dPrpZ+iLLyK7ytPlafO0uoy2h0R/QRSx60Dog3aMSJYTrSLTdxAbSBYj1iAntyiQrbQ0S2Mq35BkV2JmGGWb7qTjw3SElZ/MjBRlpKco3+RUit60uskmQaxzi8o3ecn28xHJitIW5TM7ELITYRhds/vUfcof6zCzs+x9JuP16zfpwYce04iRY1W7TkMdNX+h3n1/tTKyCkMcIWO0g4RNmeFDyNHW9VGa/bcgRyda9i7y2rGnEa1//esNzZgxPXROHHLItLDWnTR4GkmLd+YALy9xVLyLNmJbouUfSmbECj0R6YWcgOISiBXkCT2SVX4/IlveWcO16xGOTrT4HT30U4kWjrijh0jz8OHDA9GaPXt2GEAh7fH07S63S9ZokQBPDEY564B69uwZFCUfDGaEBOeVJsr0ikqO47gzgNHoIySMwLgxSWUEbozGjc94o8FvgGdR8MTZCYgXXOLtcfZ0c+4uHp/dBY8DR+LoytaNbof/BiiEpJ/7HJENBrjLh2uXDff9miNy9dEtlxm/cfQ48Ax5Qfi8z9/De/3d+HeZ4od78XcQBs/F0+fnewp+ikt8lnPPM//N4bLx391xjfycNCEz5Ie8XNZxxPOJZ3ykkXuEheN9bjTtCDxOHkcvX3vW1EEaSYymyFCiEcPcRJ3bnaDeLRWm7K1hsQYgPytFaeu+VmletjYXmtxyCrRhbarF32Rqhm9+cZkZ/qZnzHjKMyOp0AypIkiEGQcYAhAKtiznI5vIEpAfhQXWoNuzGHTJ47l7gLyQcQSMe9Nr1phyhGQ5CgtMJxpRYYSL9RCby6KRLidfhUa6SoqssTTk52ebEZOh7Bw6t8xANwOy1IiBicLkYc1nmRMt00HWsAaiZY0ri9sLIFhGnPLsORbAZ1gYWXlm2Jv8IFwZRpSyIWP2W5HJt9iMsWIzjNjFkKlDRYwCGJjCVcoaDyNYeUbWSti5zOKfb+W8xIy57yC4P4JoJZPdT4GJOwYvr7SB5WQpEC0MAjdsMI7IE8i5lU1GQSHx3LP6FZEOSi/AMAGU5MqIFu8qh11DsjBsIFVuNEWGEzA9HwiVwQxjwG6UjkJDtEV0NK0LnZOoP7xsJcohETjS4zoDMJ3cR7SwHzCW0F1xouXllyNwfUU4TPE/++yztxKta6+9NiwbiPv3d2/juEXwW/PfLhKIFtMGmT64mWlrAUXmxX4nTCtXkK0yq0M5JruM7AzlWjmEeDEdDdLADoUQimhb/gKrK9be2rHQZMlHu7NNL2ebPHPNHwSMvEd1UQ5Yo/XAA4+oRYtWYUTrjDPODDoS5+nytHlaXc4/B9GUQZN9+GfXBkRVQbTMPigf2co3QsjOmLk5RmYM+XaPtWaQIDpT6MwpsjqZbXUzOyszdH5spozT+URHDKN4pifsteV1wI1k2hVIK0TW5GL3IHys+Sywes+3CSFZuUbqWJO5aUOKyeohjRgxSnXqNtCRRy3QO+9+qKzsaJQ9qkfoikIjWUyPjnQf9QPZoau3lpdyohX/gLXdtPIQlfdkLpkcKwf5FLVGW+voVsT9lQdujnOiANkKMDLOyO/06WyG0UiTJ0/Us88+bfUCgoUcqT+R3iBdccTLDS7ST1EZoj4xrZsZB060fAQqIk90vkTkCpIViJYB/RH0BfrE9EpBuU7xzhonXXTOMUWdjjf0kU8f/LFEiyN2aJxosccAnzaqKEMVadwdbpdthuGJYdSIbyR169YtKEo2PmDXH35zZUkmkuh44jn+XBAeSh+hY0yioGkIfEpaVHCiEZ54XLzRwD/nGJ8oZ29IIFocecb9xN8ZTwfOf9tdiMeBozc8wNPrjRm/eyVyYzwYgZZWv0daMYpJN0f8IEP8uF8nX5zzDt7p8uXc3+EyJAz3Qxjuh2Pcv+eb3+ece4Qbl7Onb0+Au2S/xfOmMj/A8wVwHXfx3z0sv0Y2TpjIE4DMkBdHL/90PLAOzqd/4t+JrOd9PE/8Hf4+R+K1x8mf8/xnHR5Eix42iBYbnvA+fz4xbA/Dz+NEi08N/HyiZS0TjSSNmp3bEzRtQaVz5A4NCr2urEtiM4yC7ExtpiwaOcpMt/JvhkSpGQR5Rpj4UGmWGUrsVMUiakawClgTVGzl1Y6sFcIo8LgF2RRbw2fk4/vx23VIlE1cblthrTYyMQFZHI0MWuPKPYwbyBbGSI6RnUIjPcFYKkS/MgJthpI14EydwvjOyWG2ANPKoik8GDUQLHr1MYoiYmTlY7PV5UB4IXZGkhi9YsqVGV7sNpaTbzrH4lBqcUCWbA9fhGFk7wlE1hC2ii8vM/RIF1s+sF4mjM6xg6LFY7PFr6TQdI+dl9nvgWiVk61gTCOPgPLyEYwbQBkBOyev3Hix6JYfCdcRlT5kH0qhldGoLkUoKTYSb0Y3OxJisFOOwmhWyK+o9FYgIm0V1/gB8bjwPG1BRLRK6XGGKBs5yMQANoKLsZ+GzqAdtPZ8Y1pqGGXMCvmba3HAgIsM0mhrevQ5cUcf0P5EcY82arD3It7wfj9WAL0DCA+5MJWdES3WaDnRQj+5TsLhL5JDpEP8nHCwNbA5WLaA3uHzJUyD5/f4e7/nuGdxNY8RystDnGyFkSzDd2EKst0PRjdytrDtGUZVC6y8sUEDH9nNtXLMKK23aciJ6XF8+yxszW8Gf9ggxp7Nt9+QO50LRXY/3/yVGJlBfoyK5xhJgDy0aN5KtWrVMaK1Kqw5Jy0uB09jYlp/CPHnvwfLPIiW+QolFMkBX6NVUMj04GidVoHpx/jnCdgZk5E5OpiYHojugNSgY1gzyXRL1raFdBpZoIyH9at2Hm0ahGwhEnRUsSzBfrP40LnCWk/0AXleWFhgRC5fxVZO0AUpmzbp4Yce0tixY9WgQUMtWHCs3v/gI4sj012NyOaYPUg5NqJMx1HQ+6YzKNekMJIL+RK1x9Fui17vorpHXcUfwgiHbeBh7AjIq8oQ9xcLN9SzOLaEJR+MaPEdrfHjx+rpp5+y9FB+kCNtctS+O0iX1znCxPHXLreGG8iu1fGQZyafEiNNZUa40BlMD4RoccwzspWVl660zBTTFxu0Po21cFnKNL2bY3Uhx9qLXCPYOcyAMHJVwAg6MyEMxRZGSQnTlul8o12wOJuMQ2nz9O4AsHP4FASfboJosd/Aa6+9FuwRL8v4211ulxAtEkGmUeiZZse3k+hNwsjiy+yQFhJMQj3R/pwn3gX2c+FxcVCoXJlzzu9+j4YiUoAR2SCObqCCeIF08BzHZO/eU+By9fPENIC4XByJ91wefp+wdhTx9yeD/x5HMn/xOP+Q3/jvv2WQVsorR4wQyBNHRg9ZeweRgnBhYEB4UDjsuHn//feHdXisg2A6Df5QUE6GuXbSRdjkO+Dc6yj5EL/mHHCf56g3lBkMJqYOsqAdg4fPK0C0eMbD9PR4OH4fsH6Qha0QLXbHZPfLZM/Er7ePyHiKDOnonj29FVyH0R0aJzPWGcUpM6OnjN5PA1O5aPxZN5BvxmW+yYneVKYHhR3jyuuK6w9Gs1yOFXGI4vzj4r17wfSnKI8r9ART8kKaQEhvha6kIeY+5Yf8jYxK/KA/0BuEQdkob+RD+OhV9Cgovx8DJCr4szhg5Pg5cvNjOA9hVRgLIf7hPvkHqbX825qPXFfkb1jgbjlfAYw6DEoaeYtXeYP/fYNnZ4Pw47otnpZEJJYdL88RIhIVGYIRwSJd27av5CV5G0iukYY8I0+Z6anWbm/U6i++0Mb0LH25IU2vvfuxXntvte569Gnd9dDjevqFl/XaG//W5+YHwxYjjC3z8xmRyadcYLDSptKOMHWWTjNGc4gzbb2BKMUc8fEy5nWFqYNszLT33nuHHYAxIClT+Ik7T0+U31EYlEv0BssV2EmYzl42tqKD6QddCM/zIgmsTETTOyGz5ca2IdIpURniSJ2g7ns9CfUmXl8MpBV4eQfRSLjdtyMEgueoU9Qf1h9lZGSGDazQp7Vq1Q6jdqQ1Xv4T68JOQ0IZAnzQl/dFxBqSG9X1MIq9DaK6H6W5Iu2efqZRE04Is7ycV5xXpCU6t/QZqN9R3eSazj1ma7DWmE7fIsvvTXrssUc0adIE1atXW/PnH6V33/2PyTQiUxA+Oo+ikR6zb9ARdgz6iPANkMsyy2s6hkLnEHlPR0j537B7KnEyQgIghyBcUxwSnKcjjihNO55fXs7jMoxGukvCDnvz5s0LI7l8qufJJ5+w+1EbtFXW5eUjEYTtjk6x4hK7Z2kIa+WsnUN/FhtZKmE0m7XLGZuUaaQqTCHPz9Y3G77V6/95U48886Ruuvce3frgw3ry1X/prdVf6vP1G7XB7JIsI1opGRuVX5ClnOxNFk66Ic10R7qRuGzT8QUmUzrXrK6YrFkPaLH4ngwqA3WFdWnspg3Rmjp1arAZSHsy/2BXul1GtLwAQKquueaasBAVonXRRRcF8kVhwHlm4+KZnCiEnwvCjhRBBC9o/MaRuFamCDE2uc85fj2eHP3814REWSQD8vkhJAt7V8FlnYgd/f23CM8rry+cQ6icXHnZZaou301jUTifMuA7ZXy/jM4PpuExNYdt9dlSHyPEjWSeZY2Dj4p5HUCu/k6XsTu/5uh1irLCpjJ8EBvDAF3A1EGIIH75nbjzTPx57vu9ONFiGjKfWXC/jsTrn4/yclQuZ0CcSJcDeZDGuM7w3/AL/J6nBxd/z86P985DSH85XAbA0xpPm8uDckLZAcgleoYwCC952JUh/k5Hoh8Py3/z8COYH+6bAQehCkeMOUjWVth9+w3juAKm38pJlpnL1ujTu4rO23PzKhGJMnK3jT/yxORRZvmUnZ6mdWvXKC0tVZlmzK/+ao1e/Pc7OvOyazVq5tHqO36GOvQfqe7DxmnQuCmaOnuuzr/kMr32rzeUkpoW8j0tLcP0BdPyWfuSH0bfGIUrZFTDjpYVFgH7byIG7oieG9NebziHaLGYH6LFp0fYhZByRV6787R5mjwM4sMoD3oHosUH+m+88cYwmv9DLgorIk+VIU5kE0EZoqx4vfC64fUlDr9fGQiDeoRehtCi20kDuzljU/Gdz3PPPXcr0QLEP35ekaafD3eJ972s8U7Pwx8DnuP5xHArB2mzPIhNMeOc6WzxaW2ZWal6+pnHNe2QSapbr5aOOHKu3v7PG1Ye8+x95Ec0shYQI1nkLQQKBJK12fKDz13YsZSOifDP5GxvLg16wWRiF4Apj454OXeXLD0uv2S/JYPnL7JLLE9xosX3UPl4L2WI313e/i6Pj7/f79vB5PidEX4SFn2Umt1bc63dzs2EGBlhMrKUlrreSFa2Pv/qCz3+3DM686KLNXHWbPUdOVod+w9S696D1HP0FM1YtFIXX3+zXvrPu1qflanU7DRtSPnW9EWqigrSVJC7UYV5KUa0siKixVRyy5/izZY+OtQsEp72yuBxd6LFt1rZ3n3KlCnBZkA2ic84dqXb6USLCMcrGoYa24bzYWCMrEsvvTRMJyTBuHhmx8898TsLhO0FMw7/jbi6YvMCyz2OKGwvpB7HXzNIt+ePy4F0/VgkC3tXIdn7k8HTE09XsvB+C/A0+zVllzylx5eGGGXDkc8X8NkCviPDR8OrVasWjhgfNWvWDF9O5zf88DFp1jUwTZQG3bfZZ0oh4VEPeGdlzuOD7KkvxIl77DTK+kx0AB8OZd0mesD9xfPM00ZaOIJfhmhF8DiAeDwT61BlcF3CeWVhJ97f0xCXAfC0J6afa/IcnQk8bxOfTxZmMsTDThYO8LDcz/fizXNGJqz1Nlj7UmbtSzCGzL8RLUYpOQZ/5cZzBHq0I5L1ayZafu0u/jv5BdmKtr7PDcesnBx99NmXuv3BxzR57nw17z5Y+zfrpCqtuutPjTvqTw3baa8DG2ifGnXVqnN3zTl6gW65/W598eWasMlDNHXMdFBGTtgUgfVFIBCtBHLljvh43sXj/e6774beaCdaEC90EL+583OODsKi/DHlmCnLfMOzR48euvnmm8OI/w+5KJ+JT+XwcpLsNytdAV4m4/XF4ffd7qgM7geCSX1CF6PXmX4N0UKXQ7ToUPP34eJyxMXl83PgLvG+v29H4PGMg/vbC//7IJ0mb6bIxohWmAJbTrK4zsvP1AsvPqsZM6epXv1amjX7UP3rjVdNnrn2zoiYsTYx+l7gtkTLQfwYTQ/TExlVt3dbbOEfUU57tO2CaAHWcyWmyd330/L9+roj8GdC/KyceJtLhwRTbiFao0aN0qOPPrqNPgYehsfHw/I4kCYLMtRZS7KdG4HJyzNilRJGvdEXbGqSbVi7cb1usvI448ij1LpbT+1bs47+VKeR9mrQUn9o0Fp/bNRe+5oOadp9oKYvWKw7Hn1M36Zu0uovPtGabz9XdqaRteyNRrZSw4jW5i3R1EEIbomRrJ9CtOg4njhxYrBvIFovvfTSVt2RDLvS7XSi5ZnuxgXbpjOK1a5dO7Vp00ZXXnllMNz4zf17IuPncQHsDBC2x83Btb+Lay+oHvdEv4lh/lrhafU0umwc7i/xfhzx8HYHksUhEfF0JaYtWZi/JZBeGmKOlF+MCQgT0wNnzpwZPr5dq1atMJI1YcKEQKr4Rhq/YYCgkFu2bBmuH3zwwVBvmU4YX7sFgSNs3ucufo5zeXs8UPpcQ7TOOOOM8A46XVi3ycib55U/Q54Rpl97eL8k0QIeDwfxTKw7fq8y4CcxzGT391R4Oj3enl+eBsA98p0Gjbzn3H93v3H/P4QfeiYet6T+uFdq90qsXJWYvqfZieyzrT3PTrYCLL7R+oXIwN0cyFYEpinF5fFrQtxx7fJBXuRTNFpiRmlevtZtStWj/3hJY2ccrjrtjFw1bK+6Bw9TlwlHqPOEw9Vl/By16j9WtTv0VJUmbVW3ZXuNmjhVN9x8u1Izc8M3oFKMZLE5TG4B2/mzxojNESgP5A96gniUR8icx8nj6vFmWjNG0p/+9KdgQ7A5xvZ0kD9HujAs+S4jn5SBaKE32AEZ++OH3M4iWoTjcgbJ6oxfVwb8kGYnWt6RRlpYtwbRYrZCMqLl8tiZcJd439PzY+Fp9HDcxcNOjqgiO9ECGOe+sQvH78QuvDl69bUXNWfuTNVvUFuTJo/Ty688b+UxO/h3osWuqslIFiCOQbcZwhqtEHeTsUXXohKOwVGuXbfYzWTpwm2bjgguj2S/bQ/+HHF03QvRYqYKaxNHjBgRlgq4feBlxJ/3+Hg4Hgcc6SIdjFCzTot1dFmZGdG6toJ8I7H5+trsjJvvvFvDTAdUbdRCf6rfVNVadlSzPsPVevAEtRs5XR1Gz1bjPmO1f9NOqtWioybMO1qPvfiSPl3ztTKy0yzMTcrO2mhELk0lxTkm36KQd6zRKjX5l1JGyuO7PXjcmYXDJ4omT54ciBZHiNdvhmh5JqK0yVR6lPjob6tWrYKBxa4/GG2e0S4Y4Pdwfm9nIl6QHP4uzj3uDu7x2w+5+Dt+DUhMo6cT/BgXD3N3weMbh6eF8haUoSkb4EoFP8nC+i3A84G0UucYhYIYMVrEwvElS5YEctOwYcNAsBhdZhoBO/CwVTIf9WNq77Rp04IfcPTRR4feHxaSM80XpYWSJnxk6e9MFo94XuDfn8HgOfPMM7fqAdZKsGbM/cef5ZxnCIMj+KWIVtwl+93h8QSeDuLvaajMP/6S/b6nw+PviN9PrH/JnkkWxo7Cw4uD+y73uF/WfJQxklJk8SiyZ5lIkYRs8c0jvmcGtu5CBgEjDRha9Kj+ikaz4og7v7dVPobcPBayF4bd7jJy8vTm+x/rxHMuUs02XXVAmx5qNnCSes1apjFLL9TEEy/XrFXXaOLy89Rv1nFqNWiCGVWdVLt5Ox1qxtPzr/1bX29M09rUrPCJgwIjVgVsZ15QrDw2dGDkEAM1GKHErQLEx+PrccRgxEiCaLVv3z6s9SRP4v78HOfXPAvRooNn5cqVYfSeT8zcdtttYcryD7mdRbSisLaVuafzx4A0+4gER/Q7OhRDum7duuKjzHSOeR3w9/pxZ8Jd4v142nbEJT7vcJfst21hsk5CtBwQLQCheuPfr+moo+epQcM6Gj5icJhKyK6o+PMRsNKwuQkdQ3Gi5bocoGMc9mZGe9AfBq4tStFUXEayHJXI5Ptp2VZ+PwXEk/IBmfDvz1E+WCpA5ykE3fUjR55xx7nf99/4mSrKBi3sjBnW12FjMHUwNy/U58y8Ar30r7c0a/5xqtmig/aq31JN+47UoDnHacLiMzR28VmasPJijVtxsfrOOV6N+47Xvk07q9HB/bTw1FV6+a23lZKZrrSMFCNbKcrPzzD9y5ROiFaUp2VbyKOozv8QXH7YLNgIjIYza2fSpElhcwzqTuIzjl3pdjnRYltnXwTPmhCUAxnuAokXLJ7jGuf3dgd4Z2VI/N2fiTu/92tBsvSAH+viz+5OeNy9rDkob27kUf7c2EtM528RpBMZQLQYzYKYsAkNa7AgTywKZbreF198EXpDAQYHZAdjBAMEhbz//vuHaYSMPLO+wUe1UN7I0R3v5H2JsvV4cIwTLd6RSLQgcfzm4fK8h8fR8w7sCUQrmXN/Hk8QL48gHl4y/yCZnz0JiY578bi749zTnVg+OE9WZrYHf4cjmR/Aby73OMK3yoxolRXa84Xml93Oo1lGFT3Pds43qdisA0Qbd6BH0CeEw7t5x/ffuycj0fl9l2WQj6GAXd/CsVTpuYW66+En1XPERO3foovq9RyjwfNP1+TTrtWM8+/QjAvu1BFX3K8Z59yosSsu0aAjT1Lrwea3YRu17zVAZ192tb7alKmNWWaEFZhRVlRqhKtMuYUlyjcdQs90FA/yEkJQTkgwmu2ex9PjGB/RgmgxouV1yv3Gz/05gFH16aefbiVa7FbKdDt05A+5nUm0cB7POCq7nwyk2UeJAUSLTmt0O0SLTcZ8N2fyNe54nvuJYf5UuEu873KP+9meS3w+jh/6PYK9j+m8MZIVP4dAMVLFJg3vvPumFh03X40a11Ofvj300MP3KcMMe//Adylkq5xoVZCsqP0J9SSQLNo8CJaBjT1K7E3FdjSE3RG3+o30X6IOjLvvp2Vb+f0YxN/rtg9TbI866qhAtPhoLzNbGLX2+OA37uLhuB/0HjqQNLMRBrqQDlc+7pyVk2ckq1CffrNel1z7d7Xs3l97NWijhj1HaODcZZp15lWaddZ1OnTVXzX7gtt0yDk3aaTpi4NnLFW93uNUpXV3dRw4WtfcdrfeXf2p1qdstHD5LiOfD4EfRCNaKGtGtSBbUZ1MLgMH8QYQLTb9Yn0nRIsphGz3TvyTPQd2pdtlUwdRCmQ6inHZsmVhiJvFqAx38xuOxOHfj2Q+R/9td4D3/RC88HkBBDzrLjHMXxO255L5/6WQGJ/EfAFxReONkiu7+LO/JSAHTzeONGNIoGTY+KJBgwZhauAll1wSPhqM8YESgowx8gUgXT7ixM5eGCX0hmHk+NRBOkd4D+/EeT3wuuBA1p43Hi+ufeqgEy2fOuj+cZ4eP/I8R/BLTx2MI+7i9z2ucfwWyl4yx31PY9wP5/G858i13/Nrf+6H4O9I5t+d+/P3xN8XRqXCiJY9U2jl1poea7MN9gzfpDLwfaKwWxcwosU3gUCJEQS+WYRhZcEHhHeZCfBTEY//rkai8/suT0gW3x/jW2QF6A0zpt78cLWWn3m+GnbuqxqdBoWRrOHLLtXUc27TnKse19QL79eUC+7V+FU3a9xpf9XEU/6ifoctU812PVWnTRdNnnes3vr0G6UWlGpTTqFSjbhlseU3nztgamYgU8TNpBEISYT49vkhbuXlBB3EaDtrtCBa77//ftBx8fR5ugDPePriRAs92K9fP9155507SLQIj/hUjrC9uCHZb1Eak8fR4ffjZbYyIA/aNLer0J10hqGrmTp44YUXhqnipBv/ccc7uB9/98+Bu8T7LvfE+8mQ+PyPeTaOiOhCtqytMIM8OidfsAMKxbfg8vKy9dFH71s5MDu0WSN16dpJd919h1LT2Oa/1IhWaSBZGPOMXicjWny7LuiBcpKFTilhy3or56AkfG4hGgkvKTXbAzD9mBEy4mjl3VIc0o1LnpYfJwP37+Ujen9k/2B3z58/PywJGDJkSNihknYffzzDkTDceXhe3vyc3UMhWnQy0fnESFZGZrZSMrK1ISNHj7/4T005YpH2b3qQqnfop36zl2rqyX/WYRfcounn3qLZl9yrQy68R5POu0OTzr5Zo46/Qp2mLtQB7furasuDteTMC/XyW+9p7aYUsdaLT0uU8U268mmf4RMVlrdM3Y7qVnJZxEHcSSufgGFbd5ZMQLSeffbZYMckewbsSrdLiBZAyZHhLGZdtGhRyHCG7ulRojDgSBx+/eiFwH/bHfD4/ljwrLvEMPd07IhL9twvicQ4kQeuFByubLxB8kaJ3zzPfmsgXaQbuAwgUWyfTn1DyaBsUDKQJnq1WKPAkTpKDw+9o4xusWAWo4bGe+DAgXrmmWdCHcYvZAv/vNPzIplM4/c8PtyDaJ122mlhZBuixe5fbLTheZf4vKeLI/g1EC3g8Y0j8ff4NUgWzp6Cyhy/xdPnjnPy0xt9L5deFjgmk0FliL8jjrhzf/6e+PvYih+jiJGs74qsfTKYTWX3rBnHWDIyhQHBlLZAtCzOTrSKy4mW2UkWfjmCyfTzkJiWXYVE5/ddVkzH4ftkhWYc5tlxU3au/nrHveo7bpoObNdLdXuO0cSTr9SYU/+mCefepelXPqXR592vseffr3Hn36MJ59m9C+4IU4NaDhivqs076qBBY3TNHQ9qXV6R0oxgZRh5yzEjNJet39HH9t4ghTDyQ696hOg6il/It3K9jf1Ar/S+++4b1mhxjV6Ppy8xXYBz/P08orV98A6Q7LdEV5kfjh7n7QGZkB70NbJhJsLll18e1p792omWP/djno9AWjHASS/PejlCZqxp48PptHm5+vzzT3XqqSerZcvm1v6006233mwyXB/8QYTYdAH4LoPfJ1pWpoxsOdEqLbK6k2/5kWttKMjn0x4GI3eO4lKzgfmoO+GFKY6RbYtLlp4fm34vF65rHbTZTLFlHTZ2N+0mO1TShrsOxh9huON8a1oNHhcPk3Psh4zMLGWYnli7KUOffLNBl//9DrXvN0r7NuuqpgOnaMqJl+vIy+/RjAvv0lTTGYdd9YQmX/yQxl9wv6Zd8qDdu12Djj1X9ftM0l5NOmv4oUfqgadf1JoNqeH7iOz8yPfpEolWRKKTyyERxB+ixfIIPg3Brpwsm8Ce+c0RLTIbMMeaDGcxPtOYyHAym4S5X0+oZ7Bf70rgOHocKoP7dRcP49eMH3LJntmdQPbxSh8/92tXAlQeypqTKwfEwAk/1xx5Nq48/F1+/mtDPA2kCVLEukimkkBo2ICG3f6YwksjDaFiBAu/yAbZQcwwPjBKWE/J6DNGDdP7UM7IzckZcud97uJxicN/c8XuI1oQLXqmIVq+66DrAxBPD/c5AqYxQv72BKLl8DT+GCTG0V383p6GZI77njdxP5yTpyD+u/v3c/f7UxF3fo/wvTxRvkO9L7J6bwZ/ab4ZRjklAcX5pjuK6AxEd/ANtAIVWgNfVFqsguJCIwSFyg0fWS6wMm91BIPKiAJkjDVNZVvsHazdMEOPHcg4Wsp2GPF07E5sIx8D32qCaBXbffDl+k067cLL1aBTL+3T4mC1Gj1XE0+9VrOueERTLntMYy96XCMvfEQTLntCky57XJMvfVgzLn1A01f9Tb2mHaWqLbuofsfemrf8VH2emq1csysLLKvyzUjNtXzI5+PX9s5gwJrh5FO9IrKFsRzF0fOPuDrRYkQLfUZPPflKetwlps+BzuezEsuXLw9Eq3///qEDyj8rsT3nYW4PvA8k+y3u4veT+U8Wjt8DpAV5AHQ4YNo1RItOMaYOspsz07zdP2HE350Y/s9BPNxE/JT3eDoTkczvtsDftkTLwaYWEK28PGZj5Onrr7/SOeecpbZtW6tVqxa6/vq/at26b02mrOOKSBZbibOFe9jOneeLCkJ5ZXMcPtpeVFikshL7zcBHl/Ny85WdaeU8K09Fdp2dl6Wc/GwVFOUHklVcFhGtEiMOhMv3t6KPHtMmRu1iPD07luYK4J8w4vou6Lzycn/ccceFtpx2k3IPUcKv+/PnHVzzu8OvCa/AdGR2TrZS0zOUkZOvr9en6s2Pv9KyVRfrgGadVaVNb7UZPU+zzv275l12v6aef7fGn3OPJl1s+uKSRwMmGuGaZORr5Mqr1HrMkaZjeqhRl4G6+JqbtPqrtSY/vhNnJIsP2BvR2vIdHSqst0NX7BjR8jj7iBabezF1kG3eIVrYMMmeA7vS7RKiRULJODLozTffDNOQUAiDBg0Si/I8I12Z8gyOxHLOvUQh/I7fNsh3jl4OUATeqHBOBeGccsM1JIHKxD1IAISABhTCwDlH7nP06W+c459rH0bHeZnDxeO0p4M4U4c493oHeeGjnvFpA4wi+/exSDd+/Ogy4zdkxNRevnPFs+zWxXPUY2QJKeOdXj9xcdl5Hnp8cF7PIVqQOKYmsk0zRIsw8Ysff46wPC1+n2uIFobS//zP/+wxROt37BmIOy87wTiw8pqXmxcMoZz0PKVvzDZkKcvO83ILlWe/Z+XmKC07QylZadqYsUnrUtcrJTNVG1I3acOmFKWmpZtRm251JUO5eQVGTErsufxAziBbfKDaSRckLByTwErmbidayMJBvUIurjsDLO6kg/VZ+WY8vrP6Cy0+7WzVatddtboM1rCFZ2nyqr9rykUPaOoVT2v4+Y9o0l9e0IQ/P6vxlz6uiZc8rCkX3qMpZ1ynIfOWqX6XAarToZcOWbBCH36bpvTiLcrb8p0RrbIwbbDEjhia0fQueqrdgIoMZZzXfwcdtSxkp4MFvURnEPdJn7t4mnH8TjopAxC1pUuXhrVMAwYMCB296DwP311iGPHr3YW449rj6LqQc2/v0MtsbORE6+qrr95mKnZcJ+MS3/VbQVRuKA+kGzmxNpuOVmyHaEQLsgWpuvzyS9WxY3srC/V1xRWXac2ar60eQKYiIhRIkT0LIWIa26bUjcrITFOm6Yc8C4d7EA5A5+SGjRvCurj16zeYTsgzvbFJmzI2KjMvw8p7vgpK7f0lecovNjCFsSA3jHTlF267uZSnxc/d+f3474l+cFyT37SzlHnCZikAeyOwERZrE/lupRMt2n7qP894ZyvP8byHQdy2ntsRkkVHU3aO6VHTp99szNAbH32pI5afrv9Xp41qdR2uHjOX68jL7tHEM27WlPPv1bRLHtfY8x7SiHMf0tigLx6z+/dp7EnXqePkRarWYZDqdeirMy++Wh+s/kpZ2Yxoleg7I70QLXYehGzxaY0dWaOFbEgf8cae4QPFEC0+ZzN27Niw8ddvhmgRYTKQBJPh7Hzma0XYZvKxxx4Lv7lA8OuJ5BgvTL/jvwfxfOdI2XCDgHKEcqCScE3l55qGBXKAAqEBZqj4ueeeCx/nBWzvyX0aJRpXnkFBAicNifH4NcFlBlCMpIleTXYMnDt3rpo1axa+ocHWrvyG7JAV6XdiBZANjTfyYWoNa7r4PgtTfvngOPfxxzuQGeCd8TqL4xiPG87r+e9E63fsKsQd15QbdERUxs1AyjJk2nlmgdJSsrRu7UZ9u269vt24Tqu//kyv/ed1PfzsI7rtgdt172P36OU3XtH7qz/UV99+o9QMIwwZmUrPzFKuhQcxycg2smb1ge2GIyJllIFpeKUYBNb22b04gh+jFcBK6Pfiv6tAfYgDuVCHXa8io2JGtDabAV+2RW998ImOXnmqqrXsaobTMI1bcYmmX3CnRq+604ykJzXh8ud06HWvaerVL+iQq5/TtCue0OTz7w4bZQw7/HjV6zxAtdr20OQjl+j9b1K0MbdEWcVlYUSryN7N6EBYr8L0Lida5deWcyH/iKPXY44QLdZXQLTYTGt7RMsdv7uRCNFi51WIFj37EC06luI6DOdh/JKIO66JH3BdyDn5Rvxp+6644opgV0G02Dk2kWh5GB7ebxOkM0K0Q2BEtkoo10a2GM3Kzc22dmydyehqde3axeRVW+edd66+/PLz4KeM0aZyosVoFiNZazesVZqRrI8//Uiff/mZnadqQ8p6rf7sE7359r/17PPP6KFHHtDjTz2mZ194Rh99/mEgWuvS1urblDXamLFBmzI3Ki07VblFOaYbLC7F+SosLgiEC7K2DdFio53yzXbcbZvOivIQ9+OO+5QRL/fsQMkMEtpblhCwERbtLX6wBfzdbmdhY/Ec97nnYbEbabHdg2wVFBYZYSxWek6+1qbl6PUPPtdhx52sP9Rrp8Z9J2rw0Wfo8Evu0bRz7tDEc+/R9Cue1tQrntH4S5/S+Mue0tgLHtQku3/oObdpwBGn64C2/VWjZXcdf8ZFeu+jL8qJVnEgWtFIVjR90GJp+RJ1KP8QPN6kkXXqs2bNCkRrzJgxeuqpp4Itk+w5sCvdTidaOM9AEuuskqmDzJOEVSIMR7zgeIL93u/47wF57vnu5ccrvhsFlCcffeEaUoEBD7E49dRTw+gNioVeHD6KyxfR2faW3WY++uij8DyjOADCQRiUwXgc/PzXAOKObDiiKDlnWiAk5MgjjwxT9OgNhnTyO2lGfhAtlK73jNJAc0Q+EC16jtmtiFEx1gLgj99ovAF5wzFeZ0FcfpzjiBv+fydav2NXwh3nlBvqthOtzMwcI1iZWvPNOn399RojWd/q82++1DOvPKuzLztX42dOUOturVSzWQ217NJCUw6brFUXn6WHnnxInxkRS0lP1dr165SRlalCMwSy8izM3BwjKFb/mFZkRApw7eeJsJL8ixEtP0cuiUSL+lZUbPeMaL35wcc6csmJqtq0k2p2GqxRi87V9PPv0Niz7tLEi5/Q1CtfCGRrzAWPGMl6SjOMaB164b2acdYNGnPMqWrYdbBqtoFoLdaHa1K0zshtBtMuWfuG3ogTra3GscURmZTnH3GMx/mnEC3OPa08zxQqCAlE65577tlBosW9nYHEcCtH3HEdZGMgLR5f8oxOL6YOMl2QdDGqxQ6E6PC4/vQw4u/YU7AjLtlziXAZxa+Rgee/d9IiGz5WzegO31U69dRTtHr1J1H7afWWabSFYY2VEbTSEqvj2couyNHHn3+kbzeu0Qefvq9b77xZRx17hPoP7at2Xdqoefsm6taviw6dO1WXX3eJHnzqfr372Tv6cuMX+nL9F9qUtVG5JTnKKcpWbqGRrc1GtorytxIt2kWP/xa2h6c4xkQTT6enzcF13HEdTzdrmrGJmKpPx+n1118f7B78UIYcxMHl5DYE9zkSx0I7Ipf0jCxt2LhJa9Zv1JpNafpqU0YgWnMWnaQ/1GmjZgOmmL44R3MvvFNzLn1Qk8+9V4de9oTpiac12cjWRDuOOvc+jT/7ds284HYNP+Ys7deyt6o06qiFK8/Qf95fbXqazTAKwtTB7yBWdMRAsn4C0SItdLwfdthhgWhhC2IH/aaIFpEmsRhnfCSMBfYYbsy1fuGFF7YqDlcKnkhPsN/7Hf8diCsQQLlwBcCRik+ZoTxBChiB4Zzeyuuuuy40xGxLzjx+KhWLH5mXe8ABB4SGiHLH9uUsFqaRBb69OQrF38k7ksVvT0VcZsiJI3Khc4OtXSE1dG6wyUV8JA/Q8HDNkd4viAyNNwSI7d2RG9/TWrduXWjYUVzIB5AfyMvrbDwe8bjh8E/cfidav2NXwh3nlCHKKEQrqusZ2rgxxcp7ljambtKrb7yi0887XV37d9H+9ffT/g33V63WNY1gVNH/rfE/2qvmH1W9UTUNHD1IV1x7ud775F2lZacpJTNNOQX5KjBjLDs/L5xDukqt3FEbQDKSBawkbyVbiXHfVaA+eJ3g6HUR2TiQVWEhBuZmvb/6Sy08/jTVaNlFNTsOVr85J2ryGTdq5Km3aNy5D2r2ta/okCuf1+SLH9dMI1nTL3pAk+z3mWf8VdOWnqumPYapbvteOnTBCn26NkObcoqUlV9ihqu9294T6SjqNCQritdmUxNbLPs8B4ljPM4/lmiFMMvfhW5nGvWxxx4bNo2AaLH72q+NaBFX5OLpQn8z0+Ciiy4KJIvROj7lgSHtz7ju5Jn4O/YU7IhL9lwiSGuye6Qf+4EyQNtFWwfJpjMWG4F1e6z3C+2/PcOaRUarc61es14ztzBPazet1bqUtXrl3y/r5FUnqfeQXqrTvJaq1N1XBzY6QDWbVtOfav5BB9TfV43b11f/UX105Q1X6K2P3zQi8qUyCzNkpT9MIcwuzArTCCFaYepgUbSpCfkTyuJPIFqJv8XrN+0la7NZaw25xE5imiNEA7uHskLbT+cr5clnuNAmYwfw/CdGRL+04xqzmz77/Et9+uVXevfDT/SW4dX/fKD7n34pjF7/qWEHNR84xcjTKh12zs06/LKHNPXcezT5fCNcFz2iSZdGazrZQGfSObdp2pnXq++s41WtVR9Vb9xJK087X+998GnQ00WmT7eY/L9jq/0tTMsuVsl3RgjDhiLbpjkZvK6Q52+88UaY2VO9evVAtJ544omQ3mTPgV3pdjrRCoXGMp1CTgYymoCxx4jW7Nmzw3QuVxrJCownONn93/HbhSsQryiuNLy3xRUBjSRHdtU599xzw446Bx54YFj0Sc8NpH7hwoWhgvXq1SsQBnp1mKPL5g401CgbJ1yEjWJypZcsbnsycMiNNNBoIBsWgfJJBQgT6yJphOnhQomSXvzQUNP4oHBRwMgF4so28IxoITPC4DnyAAVF+LyHa2SFIw6cJ9ZnznGej78Trd+xq4HjSBmirFYYFelRx0JWuv79zhs679KzzSjqq3qta+vAFtVUs82Bqn9QbTXqWk8NDqqjBh3ra78G+6haw6oaOn6Qrrr+ijA1CMMrPSdLeWYkQbTY3IHzMJJlZW9HiBZIjPfugNcpN8S2wkhWcRHrmTbri2/W64Qzz1e9tt1Vo90A9Th0qeZecKcOu/QRTbv4Uc268llNOO9BjT3zLk07917NOv9uHXHhnTrmgps0Yf4patx1sBp36q8FJ56tLzdmm6G5WflFZSou4b1Wn+3d35msYFZRvMxe2AVEy9NJGcDYosOIzjfWaN13331B/7mecedhVIB7OwOJ4VaOuOOa+DlcHwLSxWwOZmtAtOjE/tvf/hY6D/FL2ki/nye+Z0/AjrhkzyUi0XHP0+9lnPaKtoYp9Ewhq1q1ahjlpL3DrmDXUT6+y653BVafc/JzlZqVpvWpG7T669U6/owT1KZra1VvWEU1mlVTjebVVK9dLbXq2UzNuzc2fVFbe9X6H1VtuJ/6juytC6+6IJCtdZlrlZaXqrwSIzPFdMpkbiVa5CEfSYdgsZPhzyFaXFMuSCfhYndTT5xo0d6yT8Jll10WPgnAlFPW9wFsA9pibCNGRfntvPPOC+u7Fiw4VodMn6ExEyZqzPgJ6tGnr3r1H6gO3Xqq+4Ah6tp/uOq27ab9m3ZS0z5jNXDO8Zq96nrNueAuHXru3ZpiOmKGEaxDr3hSky95KKznnHXx3Trk9GvVadwRqtGqpxq366mrrr1ZX3yxRlnpmSoyO2NLceFWolViKNpSYmRrx4iWywI5+P4QEK2RI0eGZUu/SaJFIWaqIOtE6HUh0QznIYjEwhIHLtn93/Hbhec55ccbFFeWKA4MJioJ1xADlALEioYGw5utw1GkNMxME/z3v/8dNoGgke3UqdNWssVmDxjtNLaQDiok4F2JcdrTQR1yeZEG6hsNCt+eYddBdvns1q1bULj+TSz80SBDtJAp5zxDw83oMw0Qa7swaq666qowgohs8IPhyvNxouWKLbFOc47zfPydaP2OXQXPdxxHyhDllPJKGcvIsDKenaGPPvtQf7n+Sg2bMFg1zWCq376Wugw/SP2n9dGw2QM1au5QDT9ssIbNHKwO/duqetMDVKtZdY2ZNlI33PY3rf5qddiREHLFSBbbojO6BeECZfbuZCQL/JJEKy6XbQzQYjNgzMDcXGo6pGSL6YR0XXDpNWreub/2a3Kw2o6Yqxln3KhpZ9+pKefdr3lXPafDzGiae/njmnfJA5pz3u2ad9YNmr7yYvWecLjqd+inTv3H6bwrb9TXKbnKLf5OhRYuUxN512Z0bBKiZTZmIKnENK5HOP4UokUaAfqdNeJMo+YzF4xoQbTQg65n3HkYFeDezkBiuJUj7rgmfg7Xo56HzM4455xzwkgdGxcxNSyRaHGM69bfIhJdPP1ezjlHDzB1jKn0VapUCXYBo520gXl5BRHMzmCjG0a1cgpz9enXn+rCP1+oXkN76cDG1dWwfT116NdG3UZ0Uq9x3dR3Yg/1n9pLB486SE261lPdNrXCSPjgcYN1/R1/00dff6j1WeuUkrtJmfkZys7PCiQrEC30BWXdiZbB1IRlfJQOXGJa4+Uh8b6n1zul2XWQqYOstebTCLTpdLzS/nobzI7E7OSJfcRSC0gZv2ErQd7rmm1Vs25d1axTTw2aNFX9xk1Uv0lzVa1dTzUbNVPNJq21f8NW2rtBG1Vv21sHTzxKM0+7WnPPv11zjFRNP+8eHXb5Y5p79dM6xPTFtAvu1JyL7tDk4y81YjZe+zZor869hune+x/TpnUpKsjKUYnJPoxo8U2z70xvGNEq/s7qs2kIS/U26U4GZIFc0f/oDmb20BHvRAu7L9lzYFe6nU60vBCQ6Sg0pi0x6sDIAms+YJmuTN3h359z54n/Hb9tkO/xsuCNgytLFAdEi9EnFAijMI888ogmT54cpgcefPDBYRSGD1lCFiAQNEKQsW+++SYY5BANFoSiPFgvyFfSmRLnijhxhObXBuTnyoXGlg8Ts/iV3jsUKAtCWQTOFEGMTx/JcqIFmUIxM72AqRX0/rIdKhuLIHPkz4gASsobLs8zf7fX6XiccNzH/+9E63fsKni+4zhShrz9CdNj01K0Zt3XuuXOGzVl1gQ16dBANVpUVdt+zTV4ej9NXDhWhyybqKmLx2visaM14ejRGnxIP7Xv01IHNq2i+q1qabI99/CTDysjJyus02LaoI9ogV8T0ULfQXxKQVGxkR+LV/EWZaTn6657H9fgsTO1X6POqtN1jAYcfqbGHf9XTV51p2Zf8qhmXPCg5l7yoOace7tmn3mDZp54hZHU5WrabbgaduynMdOP1gNPv6p1Fla+Ea2iYiO9bI1v79li764gWhYnUxEQLbMxA9FCY8T1CMefOqJFWtGHEC06eCFavusxOtD1jDsPowLc2xlIDLdyxB3XxM9BmijT3CfutG/oU4gWRjQfgKes+3PkM/5ch+6JiKcvGZI9k4i4P85JMyD93r57u8i3JP2bbKzdodOf+3n5BVZOGQG1ep2XG7AuZb2uv+V6tenURgc2rKbmnZuo96geGjJtgCYeNUaHLp5semKURh0+WENn99eAab3VZVBH1WpeQw3a1NOsY2bqwafv1+frP9O6jLVKyd4UNsVwokW8Qlm3usd3uXYW0SKttNl84uXMM88MROtPf/pTsL8hUpArP9IWs54dQK44ch+boVt3I5L9+2nIiJEaMXa8Bo8YpcmHztCocRM1ZvI0TZ45R9PmztfwqbPUtGt/7d34IDXuM07Djj5ds1b9XYedd4em8+29CyBbD2v6Rfdo8lk3atIpf9GAw1aqRrt+2qd2a02bfYxeePF15WRkqzQ3X5tNr35XygcPrfwawSo2wlX8nZVjE4ylept0JwOy8LrCiCWfloJosREfXOQ3Q7RwRJoMxzh+4IEHQs86Iw9M6Xr77bejAmYCcYf/+DUuLoDf8dsF+R7Pe85dWWIQYOQ72aJMQagWL14cSBNKhPP33nsvNDJxkgW4R8Viswz8MX2VKYYrVqwII14+wuPlkXcmi+OeDpcbChayiQxYC8noFEq1VatWYSoldREFDLFCVk5G6fygoZ4yZUpouFG6TB2AfCEj6rHP5yZPUOq8j3cjM5ef3wOc4/gN/78Trd+xq+D5juNIGaKhpbxiSK3b8K3++e9XtHjlArXo1EQ1mxvJ6ttc/af00KgjBmvi4tGavGyMHUdowsIRGnv0MI2cO0hDjWy16dVc+9czQ6V1XS09cYlef+t1Zeezi5iFX5RvhCtXxVZO2ewhbPjgxCqGil0HOe7+MhqXC3UxEC3qMaNMRVaXS7aopJBvA5Xq3Q8+18pTL1KjDv1VtWU/Nes/UwOPOFuTTrpO01fdoimnGrk68+869KSrNG3FxRpz9CnqMHiKqjfvrFbdBuqYE1bpw682KDUH8rlZhRAtM2BLLT+2Ei2TB9ECgWhZ/HbmiBa/A8qAEy06j+hEYtYDetL1jDsPowJR/H4+EsOtHHHHtacDIBfaKr+P3saQRl/TDm5LtMjnqPOQHfhYEweN9ffsCSANxK8y8Huy5xLh7UTi817OnXjQfj3//POho3WfffYJhItlLLSF+Ua08vMLlZuXHz7fwCcfXnjtJU2cMUlV61ZV1QZV1HNkN42aPUwjDhuiMUcO05RFYzT+2BEaceRAjV84UuMWjFK/yb3Vpncr1W5VU+17tdWy05fq+df/EXYfzC5g19KssBEGa8GcaBFXphButvPvLM2W8yH/cYlp9bKQDJ5mJ1vYAN7eQrJYvsMuhEwd5FMAPo2QDVWY/cI0VD56zX2mE95515169LHH9Ow/XtDzL7+qx595Ts+88KIefuIpPfHcC3rxn//Si2+8rTseeVpzFp+kmm26a7/m3cKmGOMXn69DTr5aM0xPTD71b5pyxg2aetbfNeHkK9V/3olqYX4OaNZFdVserMuuulGrV3+lojyzwwpAQRjR2rK5VKWGos1MHWREy9K/A0QLIFfkgF24YMGCQLSGDx8eOuh/M0TLI01C6TGnJx3DiMzmexYkHkFQOOKJ9AITv7en4tcSz18LXJ5eBoLysTKC4kBpQLJQmhj8viseDee4ceNCDyUGO2UNpRnWYliDwz16Lnn2iy++CNMImcLKc/RsMicZ4z2RbAHOiQ/v97jtqYjLjLSSdmTAGrZbb701KFhG/phewsgWUy4ZQmftJB/wYyrN2WefHWTJ9F4abggX8nJS5vJNnDro7+fc4xGPG87zEQMJxQ/pg/xBtIgrzxJePC3An/Nr8oo1FhhcrL2DaPGsx2NPB2mgIa0c5i8ZkoT1O74P5Ivzc8oUBlZOTrY+/+oz3Xj7DeozrIcOaLSvGnepp35GssbMH6LxS4ZrworhGrd8qEYvGaTRiwdrzMIhGrtgmMYdPUJ9J/VQ3fa1tHetP6pLv0668m+Xa83Gr1S8pUCFZYbSQpWaYVtcxkdPrTwGYmWkBlg8wje0QPhHvyy6xfK7PN67Gu44p65Qr5ANKC0xA8YIVhkfby5gAflmrd+YpXsffk6TZx+rqo07qWqLnuowzMjWzKUaefSphlM07tjTjGCdoMEzj1WHIRNUo3Un1WvbSdOOOFq3PPCwUsxwzTYSV2jvgoSGndxKWPzPt3vYVrpC126VUXkcQz0pjzvnTO9Ch/3hD38IU5zosIn7icOdX2ODsEZr3rx5qlOnjoYNG/Y9ohV/ftvrinB+SRCnLaYHNhsjZS1RWOtWtjnMyMBwJl2MRDAlnimy/h2pomLazGKVmMzLzFjdssXlXqGr4+lNvI7fA65rXW7JfvPreBjxsOJhkDehDJqOB37tv3OPYzyMeNnl3MPBL/c4B/4b9+mkpY2nrWG7bzocGdGiTEG86JjMM4KVnZ2jFGs3WaO1Zv06XXLVZWrTpW2YMtiiW1ONmDlY400fjDRiNeyIvhp+dD+NWjhIIxcN1ljTISMXDtOguQPVe2ovNexaP6z9HDCmn6654S/6eq0RiWKm9EX2SIHFiamDJZZXZUYmwGa+E2V0gi6HeJoT4TKOIy4zlwPpgkDR1jI9cNWqVaFzmXLjnbHeMc06bNpXjnS+shkG7T2yKzHCzi6MjPqxjm1jSpo2pWYqt6BY6blFWr1mk26462H1H3uo9mvYLmyM0WHoIeo7baHJ6mSNmn+GhhuGzT9VvWYsUrN+E3Rg655q1mWgDp1znP7x4ptKTclWYZ69J9/KQ2HUKcO3zEpMV4QRrUC0LI3oCUtvMrnEgSywU+iU5xM1EC3qvhOtysLYlW6XTB0EZDgGGru9sU6E0YSVK1eG9TNUhHhi/RlHPPF7AnDJ7oPt/fY7dgyJ+U9FoYy4AkY5UenZJYhRURazMmWQXZecLEECqESQMa7xD7iHQqFnlEWeXbt2DSM2hMNIFz3eQaFYefV3U0lxHLmXLM57EjzepIE4U+/o8WTonAWv9OQyogzZgqwwTx3j4/DDDw8EC1nyG3LhN6YQMvKMbFG8YXqFyRcDJS4rd/7+RFnhvHGEaKHs40SLcPmdPPZ0+LOe/9wDNAKssYBoMQ00TrT4Hefv9DD2FHgaAqEygykRYTeASpAsvN+xLXBBvnbuRy9XuXm5evvdt7Ty9JWq3bKW9m24tzoOa2PG0kCNWzJM41caoTpxiEavHKBhy/po6OI+Grl4gEYfN0RjjGyNmDdInYd3UNWm+6tqw3112DGH6OV/P6O8kgwzAPJU+p0ZB99FZILdy4gNUbJoGOw65CHlkzGtUjsHu6dzIO649vridQujvdjIldnlKsjbrKzMIm3cmKP3PvxKV153q3oNHKNGbbupYfseata1v9r0GaaOg8ao89Bx6jh4tFr0GmgktLOadO6qiYfN1N/uuEWfrv1aOWVFyttcpELWWFiaizgvLTCDrUCldo5RuSV8lDQCHzA2aW2Ns8efuDLajo764x//GNaY7AjRwnGNLuR5jGu+NUWvNkQLXUb6CT/+fGXh7hlAl/LBYghJWWjTmBLPlEhGLe666w7T++lW5k3OJfnKL8ix9OeHc1BaFn0vyvVlYlrj9zh6OUmEP+/PcR2VpQj+nJ97uH6PtgAEwmGgjgLaFa75Db/kHYiHw7n74zee48gznNM+8Rv+PAzaf9pDOgxp7xndZNdBppLRSUuHZEQ0vgzbvX/25Rd67qUXNGPeLNVoXFMHNNxfvcZ0M5I1UuOOHarRxw7QyGP7aPii3hq9fJDGnjBcw5YM0tDjBmvYoqEaaHql+cBmqtJsPzXr2FiLlh2j1/75svIsHoX5RrAK2NzL0kvcjQSXGAku+850h4pMP/DdqB3viHHZxmXu8uWzLGxsQVtLBwWjV5AsfkMu7j8O7sXBKNtmPv5cmK/crOywcc6G9Rst7FRl5+QrJT1H327M0Otvf6QzL/izeg0xEtW4vQ5o1E61W3dX04MHq13/cWozYJya9h6uOgf10YGtuhrJ6q9D5h2nO+55Ql9+ZaQu08hwlukII1olRdgLlg4+HG3l1WK1FXGiFXdxmeDwQxqxF/mGHpth+Gg29qHLLTGcXel2KdGiF4Fe9e7duwdD7qSTTtInn3wSMtETCvwZh9/fU/BDDj+JaUhEYpi/I0JcNu64RxlBebpCRmGyPSsbYLCV+6GHHhqmhVBxgPuLA8UL6ULRomQYxWFuNtMH6eHA2Od+XEHxXiopjuOvJe+IJ/En3aTZR/joxULhTp8+PcjOpxIwesXcfo5M5WOUj22Q+dYIG2fQ6wXJYl0X67mcaCET5MU7cf7uxDrtv3OfeP0YooXzBpx7ANIXJ1psYY8fb4Tj78T59Z6GRCJVKfBbjmTh/I4KxPPbywNHyl1qeqoef/pxTZg5MWzjXr11VXWf2EUj5g/WqMVGsJYP1Kjj+2vE8X01fEVvQx+NWNpPQxcY4Zo/wIyr4Ro4vY+ada+vfev+P3Xq3UpX//1ipeZ8q8LN0bdxyowohNEsyzeiAywKBrsO+QnRYspcacCeQbSAyaj4O4OUm12qFCNZGzdk6+s1KXr5tbd1+V+u19TZR6rnwBFq0am76rfuoCYHmaF0cA816dpdrXr2Vc9RY3TE0iW69cF79Pbq95TJx1mNXuWW5StvixnE35nBvMWM4rIKorXFCBgfJGXBOwhyKTcwPa4e359DtDDK0X9z5swJRMvXaaDH0C2EH3++snD3BFCWGMlyorVu3fpAtBjRatu2je6++y6zt9JUWMTW4bnKzcs0spUdzotL8oxkQUjQ3RVkqyLsSH+7Dq8oI9u2i/Hn3HGNP3Q4wB/+/ZxnAH5oOwC/4Yf8Af4eJ0r44Zw2x695xu/T3tN2+AwWQHsFYWL2CjMxaG8Y0aD8sBaL2RvM5mAaKoa3bxLFbo1//et1drxO199wvf589V+08uQT1bF7Z+1V/U+q3aKGRs4aookLRpo+6KcRC3pr5HG9TUf00egTBmrMiUM1fPlgjVw5XKOPH6V+R/bXQeM7GqmoqeqND9Dg4f2srbtBG9auV35WnhEtI4ugyNLPyKMRLZOMLGeNZEG20A87Vg6RfWJ+uSwZlaKTlbaWeoMNwOiV5wP+4/B8cmwxfGflbYuVl5KCfOVkpKvICFfKxk0m7zTl5BYoLTPPyFau1m3M0suvv6uLr7xBE6Yfodad+6hOi06q1bSDajRtrwObH6QarbuoUefe6jF8guYtOl5/u+U+ffzpWrNTSpSZYeFnWVnIJ+6mk0gDI7M/g2hRXhjUYRYd+c0+ERBr7CKXW2I4u9Ltss0wyGwqA0PaEC2MOnZBQVGSse4PeMIdfn9PQTxO7uK/7Qjc/+/YFnHZuOOcMhJXuJB2lAUjMzQurCFCmbgyjitkgAL3Zx30AjInmaF0Fn1SHqmMlFVXUP5eHGF4/PbEPHSlyDnxI96QLOCNFo0Q03UfeughXX755WHLdkgqUyeYSsgGNSeccEKYl81UCu/ho0eMZyFZ1GPCJDxk6+/EeTwS67T/zn3k+lOIlofJOY0nRIspRHwXhGkg/lv8ve78eo9EML4TYP+3QRKXNKzfsU258TIDKHfffPuNrr3xOrXr2UF/rLOXGh7cUINm99eYhcM10ojWiOUDzEgyA+qEvhp5Yl+NPrG/Rq3or6ELjWgdO0ATjzMD6/DB6jCohao23ls1Gu2rxSccpS/XfWQEwupEab5KGJnBRCqz91o0iIq93mDxC/n7yxItv/b6EtUtYAa2RamocEvoVd64gZ7/bG3YmKmvv92kjz//Rrfc9YAuveqvWrTyZE2cOVfjZ83RIUceo7nHLdWS01fpwuv+pof+8Zw+Xf+1UvMzVGCkqsDIVU6Z6dxyomWmmkow9BlV2cLIH0TL5LALiRZ+0N90xtG5BtFi6jjf0kGPoe8JP/58ZeH+0ohIFuWZ6Z20b6WhE+yMM05Xw4YN1KlTR91zz12mT1NN7+cEglVBtHIC0dpsBj2jXUVF0YwE6onD2774fc7Ry96mco0/fquIV1Se4v5crvzmcD/eTgPyhg5Q2heIEwYwbQ4dn7TTzMgA6H3ynA2eaJuYacFsBnazZioY645ZnsIaNYgF64z47Askim9lsUaHXSf5tBC7DtPu77XXXmE6GXYpIx103PXq1UN9+vZWp65d1LJdG+1fo4r+WH0vte/dRlOPGa/JC0dq+FG9NfSYHhqxpJdGLjf9YHpjmOmKIcsGaMxJozT2xLEadPSgMIWw/eC2qtpgPzVr3VCnnHKiPvnwY+UZMakgWgaTVTQtzsivkSyjB2gRk+2OlcO4fIHnJYCEsmtw+/btg72D3UOnKb+RF/j150A8v4DrLdZUllqZyTYSD9FKt/ziw8L5BUXKyilQpiG3cLNSMgv0zsdf6c6HntKZF16po5ecpKmHzdfwKbM0avo8TTv6OC0+7Rxdfv1teviZV/Tux18bUStUXm6pMtLMZsmysmlyofOn1HQTRIupgxHJsuvvdoxouVxI438N0cJQw6BiahLTkphTTMUhk92fCyYOv78ngPjEC2L8vv8W9/87fhziMnXHPcqIK2dIEgqYNT581Z0RGNZYUb4gYPh1YsEz3kg42QKcE87jjz8eejbZTOPwww8PC2K57woHRYRf4sPR4xeP554CL384rp1oMfoHSJcTLxQMjTPTCdnGnYaKIw0Xo8w+L9sbOa5dptx3ooVsea873kscEus0wHGfZ3aUaHnYnjY/ojeY9gjRYnMdvhUW9xN/J86v9wQQvzi+N30wWOdEOoYkLlnYvyMqfxxx8XJIufp49Sc68/xVqtGslvaqv7famgE08ugRGrdktEYtG6aRKwZq5AkQrT4adrwZUMcb2Tp+gEYv66+xSwZr0rJRGnPUEB08ur3qtamq/Wr9X02cPlKvvfl8GNHiI6TFZhAwbTCMaJFPBouCwa5D3nLH6ukeQLQA8gIY7+xNgeGXZYZSelqOMtLpkMrQug2pyjOj/tuNafp6fYr+/d5Heuy5l3T/E2bgPveCnv/Xm3rr48/02TozjrMylFZoxnKp6ZrN+QF5hnwDI37FRr4gWtG0wXKihUG5i4gW5/hBX6En6FCCaLELK1t8o9edEMSfryzcXxpOtCBYReGbZyVhhJ+OwoYN6wei9eCD95u+zzEjlfUtJm+mapaY/IsZ4YJs8b0oRrUiwgSoK3FwjzbEQf3x9tThz3HubSpECdJEWwxoLwD6nXaE0SaMfDrw0OOff/55GG1iVgKbNtEOsSMghjCk6a677grtO0Th4osvDtvYQ5zoEGTKPyOUU6dODeVi6NCh6tevX7AxaVdoX1izxqwVOmWZWglYe8xMDjppMby55xtqNW3aWE2asFFWY9WuW1v7HLCv/rj/H7VvrX00eNIAI1rjNGXxKI1e0FcjFvY0vdHbSFZvDVveW4OW9dLApX009tQxGrF8uIYdO1Rjjx2t/lP6qHbzA1WrXlXNnTtbr770ivKyLC/yTW5W38IuhybHiGhBJZg+SL348VMHQVSfK/ISAsumF5As5AIBpcyQf+QpfuLPJwvfapId6YwpViYjWkXs/hzZApTDvHyzN/KLlVdUpmx0SH5p2ATnszWb9Mqb7+vRf7yiB578hx7+x8t65vW39OYnX+qblCylZRcpPbtQWXbMzSlSTpbpilwrm0Y+N9MBZGlhIww6sKCgP4VoUX596iCkmnJCZzNlNZ7m3eV2GdEiM6lkfN+BdTEUfhbdY8R5JscFE4ff31NQWbzi93/IJT77O5IDebrSQJm7sqd3gqlt7BjEFDiUNEQLBc8zKH0aVo7xhoIj9wAKgtEd5mkzwso0AubtEo6XSd5JOMSFI3GJ5/OeBncuA9LoPYTe6DnR5DfAOWnzc5c318iTI7LjNwgbz9Ogco2i5l3uiIM/nygjnOfjzyFa+GFKiBMtGlamg/i7QfydOL/+tWBHXLLnfkc0+s0Rx7mXCer+u++/q6UnLdP+Dapov6ZV1HlMFzOYjDwZ0RoJ0VppROvEARp6fG8zmA7WwMXdNHyZGU7HD9TE44dpyvGjNGHxMA2Z1VuNOtbQXtX+P3Xv11E33/k35RVnqag0P0xxwQggBg6KcSBa5XHcukYL7EaiFb/2+uV1iw0WIFolxZuDwZOZwaYBudq4KUPrjWjl5Fp9tzTkFZYZodysgpItZlAVKz2vUBl2zCkuU54ZRjlmiGWZQc8oVu6WfBXI9O93RcovMwOqNC+M+hWVla/PcpJVDkjXziZankZ0HCPf7DSHoU04dDBRLtBjcb0BKgt3TwFl2w1l9Onxxx9v6aqj9u3b6v777zVdbeXRjOHiYtrAaG0Wo1o5uRlhhKuggM6ySJd7W8C5tw+Ei652eBvA7/j1NoX2kmloPj2PzjpGDum0ZHo+o4aMNLE+n5kSjDSxntoJ04knnhhGmiBMjDRBhPlci48uMdIEQWC5CfkGKaKDFYLEsoG99947gE0t9ttvv/BdLNZts9EVBItnsTkhX2zEhpHNaBbkjPex5TcjHRA3yOqqM88w2/RMnXf+2VqyfIk6dOmg/Wvae2rtrfFzx4bv601ZMkrjlw7QmKW9Neb4Php1Qm8NP76XhqzopaEr+2nimeM08Nh+Gr14hMYcM0IDD+mjBm1q6sDa+9m7R+jB++9TTkaOCvJMpoFomX4qNXplZTBMizNsCXXipxOtOGhbmSrJVu2M4jHKRxtKGSJvKUeJ4VXmeIZ8L7LyQHnhW2OFRvYZ1cov4juCpco20sWx1MLJtbStT8/Shsxs5ZaaXWF6JsOIWUahkTPSXEqnsB0NfFaitNAIlRG2MtMnW9BJlh6mYpeAcqmUmM7cUaJF+im32HrsNu2bYfj27i6zxHB2pdulRIueDBbWs0scRIuKRs8GGef+gCfc4ff3FOAqu49L9tvv2HHE855KQvnwRsVBg4uSpMHF0EbBQ+RpAFy5oECoYDSwgAbVlQpHGgx61VCyEC0WR9ODxpQFficMyi3+iBdheFndE8sl8PJHWiFYKETIEkDZ+qgfCgZZkTbSSro8zRyBN6oAhUoY9Iz56Bi/81z8vfF8S5QRzt/zY4mWX3Mk/+gFZXt3iBZHGnZ+87x3v+4431PwQ858JX3ud+wYvEwCyoGXaervf979jxYuX6R96u+vKq2qqevYgzVi/kiNXDRCI5YO0YgVAzTihH4aeXL/crLVXUOX9tKYlQM0buVgTVo5QpOXj9T4BcPVuHNt/ana/1a7zs116ZUXqKAst5w80ANreoI4hPzcHtGqiOsvBa9ngKk6xLPIjKCMjGylmYHE+ovsnDylpGaqpGyLGVZGpLLzlG6GYmZWjrLyCrZFfp6yi3KNcJnRvsWMfJkxaceIaJlRZiSLEa1o2mBEqgKx2oZoRaQH5/EkH38s0eLIcxzjRIvRDSda6DF0ivtzVBbungDi5vGlvCOHU0452dqxJkYqOuvhh9l9F32/SevWfWvtHGuVPtVHH7+n//zn3ybHN0xnvh5G+Jh6x8YQjCRxpNOSjisAWWKU6amnngojAOw+S2c5mylAlnxaHhub0fHJRiOs/6XTcvTo0YHU0CHGzrBsx4+u9xEm39UWQsTmaOQJRjDg3O8x+ohfRpt4ljAgTbT7TAHjPWzPfvjhh4dd5fhcC3Hie5oQOwgeo2KAXXVJC2kinexCie3ALA6mI37xxWf66svPTV6fa823X+nJZ57QkJGDVaVWFVUxnTH16IkaPnuAxh87RGOP66dRS3pq5PIeGr6iu4at7KVhjISf0N+I1hgNWzxQk1eO0+ijh6nfpB5q2LaWqtfa1+LcT7ffeotys43oGtEqMGIB0SouMwJheoKaYLlreQt2vAx6HY6DMgIgxcgCooUMaXspM/zmNlVieImOe4H0mG7LyCwnWhD1gALl5Zutxe6ipkPy7ZhbaDZIfoEyzF5IzcpWZm5e9DudMWafZOblK4et9AuwMwrDCNZ3JoDNRWbrFRilKrH0my5yosWnMdCYP4ZouQyo4+Szj2j9ZokWhh/TvRi+REGS2VRSpi+hKNyfCycOv78ngXiRgcSdQhpPg/+2Peyp6drTEJczxhLlCEOc3gnmWtOjxVodGlCf3oZfzxfvhQOcOwgHv5RJerJQ4vSg3X777WG6nJMyjpAK4uFhex4mi+8vDeJJHIk3SgRyhJKFdPmUDo5uXABPI+lz2XCfNGKcOEmDoAGexy/+8IPzdyciHjec5+POJFo05E608EOc3K87zncPeK83ksmxxYAxvn1YOraDYMT/jqSgDMWvKQ+UVToWIFrHLluoP9XdVwe0qq4uYw7W8KOGG9EaHojWsGUDNJKpgqcMDGRr2PHR2otRyw1L+2vC8mGasmKUJi4coRbdG6hKzT+q/UEtdMkV5xt5YJSm2AwDK8Ol0fRBSiDYbMWYqYTRPf5ZWdhDiJYDgsWmGJxDuHJz2Q6fj6nS6VJkxCrT5FgcFqfn5ORq48aU0CmVkZEVvjkUvj1khhPfHcrIy1ROsRlWRqjCt2/KUbqlJKBsi7WZBuQAqYqIFW2o3duJuw5y9PKAzoNYxIkWRrfrQsKPP19ZuL80iCc6FLA9O1u4f/LJxzrppBOMaDU1QtNJF154vpGKu40U/VXnn3+ukbCTtGLlMiNDx2jevDk67LBZQQ6QIkgKozt8xoMja3ZnzJgRfuece3ywHuPUp+X5yAh2HJ2UjDbFiROjThwhSUzR811s0fXsesfmE5AvJ0uMYDEFnGcYqeI32nfWEAOIE8SOtUV/+ctfwiZNbIbFDBSmf0II2fqfqfDMdmG0hrYdm4DORY6UVcB6Je9s9A5Y2rOoncxSfl6OlQlG97L18qsvaeS4Eapet5rqNK+p0TOHadzhQzXumIEadUwv0xvdTW9007ClpkeMaA0/sa+GHt9PY04eprHLh2va8RM1/phRGjCpp5q2rxtGtAYN6qs777hN+Va/IFr5Riq+T7TI6++3odsDfisDbTYEmTpDPiBPiCVlye2AZGHGHddlFlYp4VkdpzOJ3VX5DhhkK9/qURHbv5eZTcF9Ptxuv3EsLC5SATrY5Bx2WLTfQbCxTLfkGwkrNv1RVmT6ge9nFRZrixEyU5hBZzrRQjY/hWhhU1AuKEsQLWy93+QaLQozpIp5tgzlktlsr/1rJFpeON0odSPelTUgTdvDnpiuPQFxueD8HrJF1ihGZI0iZRgYpQzRYiEshMDzAb+Aisy15xd5RRgQC5QPI6pMXcDgR+HT++VEy/P210K0iKPHiyNpJ62AdACXoZMq0oM/zl1Wnm6XFdf8zjPeOAHuxeXA++P5Fz8HOMLnPT+XaGFg0UgnI1oOfyeO890D5FE5IFlh96QEsNC3xAzRcAxGqOkQA41Z/NyvaWSSv/93JNZNypSX3Xfee0cLVyzSXnX2CSNaXcZ2M6I1UqMWjdLIJcM0fNkgjTp+sEafNFAjzGAadYKRrhPsfEkfjTiunyatGGHG0xgztIapTc8mqlp7byNarXT5lReb4WB1paQwEK0SMza+R7Ts2nItMqICkYAAbBvXXxreNoFoJ0Lqa7RONdeMIdchGEcFZihmZ5pxasgzEltgJCvXCFhmVqYyczKVX2w6xkhVCfjOyjTl3wjVFks3JGsz6Q8kizqOPOggiWSyPaKF0Q/RwthHj3hdT4Q/S5o4Eu840SIcJ1r4SSw3cR0Sv/9Lg3iiI9nIoqyMNi1f77zztrWHi1SnTi01b95Uo0aNsPSNVZ8+vdS6dYuwdqtx44Zq1KiBEZ96dt3AzhsGEgQgSKxXgugA5ANx4shvwO8xGoX9BtFicwVmKDElj3YYMsYIE6SNqYBMCfRpeeh7RpmwAZnGhuHP5miMNGH0sqEVJIzwIVmsn4Y48SkW1nJhKwJmRjGzAiOZNh/SxDl1nLxENp6fgPbG2zCAH/xyz/1E5Tua4RFNt6TjIEf/fP01HTrrEDVs3kD1W9ZVj+FdNG3BGE1YMEQj5/fS6ON6atTSHhq+tLtGHt9Ho08eoGEr+2vkysEav2KUJi8dp8kLxmrIlL5qeVBD1aizv4YM7qf7773HCJ29I89IBlu8M3WwnGhttiLnHWmVle1k8HqbDKSNDUIgWhDj0047LYzikXZkRT13v8nCxgXCY+0OH2DPMwIVzsvJFt8bC8TJ9F6JlclitoEvNT1RYrZEsdkS5VNYWTO4mXbMCFmp+Qdl9iwbbGxBZxKXAivX2AAQrXJZ0N5tQ7TK20CPb9zF40368EMZgFgy2sm0U3ZVvvfee0PZiad7d7ldQrRwJJQK4kSLnhCI1q9tjRYFkkrJkcKLwUkvCca4G59ecDn3Asw9fudZz3zCi7vEd/23Atm4AsRxjSyRH8qRsoSi9c0waHBR4PRaxeXMEfnjHwVKHpFnKGeMLgx7RsZoDFA+NBJMHaQHjOd4l4dDGJ63e1qZjCMet7gc43CZkJZE8FviuYfJs37tYe2ILPDjYXqDh4HkX6qHaNEIkKceLs/5+zwMv889nqfXk+3dIchMAYnHxc9xfm/3gDhWwEpvAOcY4JCqgiJrzM0gLy6zhqgcBWak5xZaQ8+HRc0ApSEpKC4KowMlyM0aIc5z8/MC0bIQQwMUPn6bkAeJ1/+NoOx6efH6T51//6MPdOYFZ6lu24baq+E+6jKmm8YeO06jFhjZOm64xiznO1rDNfaEIWG3wdHHD9TIZWY4LRmg4Qv7a+zioZq6cpyGHNZPjdrXVtWa+6hbz866+rorzaDIC/kLMDC2IVp2HgwD8s3AX0hHVE62jfsvC8oOoG5TF9EDRpTYOIGPqpZjsxlIm60el6CTrUwWF+SrxIyvIjsWFLDhgpEsM7RKIVRmHllIln7KbTk4D2nfHqJy7OWZI6MWjH78n//zf8ImSOw8F9cXcb8ccRwBeocOGYgWxAGixaYL3Pdn/TmHu/i9n4PEd8Rd3B/lF39+3/Un8SxjxMAM17y83ChfDJ99tjoQrerVq6lKlf2sXaxuhKmmpbNOIFht27ZW7949NWLEcEv3OE2cOEGHHDItjGgxesUR49M3iKDzirVSkCW+sXj00UeHaXmsA2MTM2w32lx2/oU00VEGYWJ6IWuyWJvF1Dy204csYdQzC4Gp+qznwhakQ9NHnND9bK0OYaPzDWJG3lJvAXU4SnskB5cjiN93cC+O7d1D1rTz2AcRclVs8i2y8vz+++9pxQnL1aBZfR3YsJp6DOuiyUeP1rijBmnsMX01fkk/jV7SS8MWddOIpb1Dp8zIlYM0fPFATVoxVhMWjtb4o0Zp0MS+at6hoeo1rGHyH6XHHn4wdFaEDU2MZBWWbglEq9hYFp0yW1xxxIpIvHwAT3+ye4kgXXQis1aNTT/4tNLHH38c0k759/KWDFvDtshYTQtkh/aJIzotkCBr20CYrcE5ejBswmLtHN9uM+JaSicURCvA9KPpB/AdsHvaXGqwN1hcvrO8kb0DQSS+G6IF6XIy+kMgDaSR8kf5ZbSV8k15pezFy0w8vbvS7TKiRUZCSHyLyV8r0SIz3AAHNN4+tSo+pQq4we+FmCP3XWlwzx1hc839xAz/b4LLwNPvskF2yNanvUGY6BHDSKcHjgYBpe7kFz9OkDinxyuaGpAdlDr5xWgWi3TZfYqpg4TBPHWeo2ISFs9zzpE4ELd4fH9tQK7xcpYMO7vsEZ4rM/KCOsCIFGs0MZbIQ3aVihMtnD/jYXCfc44QLTZB+b//9/+GdQDkvafN/XPEcdxdiIxTygl1PpoCBewXa5AiokWPX4ERqux8I05FedbAFqvQkF2Qo4zcLOWYkZppjT3b/eYU5iuP3kI7z7J76VmZofeQlIVQy9+LS4zLfytw8bpK/UV3UJ+/+uYr3XTnzRowYaj+p/Zeati9iQbPHqLR80dp7KKRGr1oqMYsGarRy4YYuRpox0EacVx/jVk6VOOXjtTk5WM1Zdl49ZjQRXVaHqgDauyj8RNG69l/PGVEy0iG5V30zZfSsFsWsQHfJ1qhRAQkxv+XxNbyWk52vCxvtjQ5tgAjWoDe6DIzSEuB6c1SK68ldq/YjKpS88fIlaeT8h/SGwt/+8Cf+Y7VaTZamDZtmv7X//pfoZOGdReuLzjG/QKcX6N3IFoQC6a08UmL5557Luh29w/wD+LO7+0MuEv2GyAdxJUy7Pc8bpTlqD1iDS5rZlOsXcvQRx99oBUrlgVyVbNmDXXr1lWTJk0IUwVXrTrDCNFlRoZu0P333xfWpvhW6JAivinlI0pM6WPUg1ke+IEsITNGEiFMkB90LyNMkCbaUEaZIE3ob+/EpK6BeAc0IE3odNLo+QW4f9NNN4WNLxgtwyCGnPGM+8cfx2TP+2/bQ9xv/BnC83YeueebnqWzoLi4KJDCq6+9Wu06tdOfqu6lFl2aaOT0gZp67ChNWjREYxf2NZ3RW2MW99Woxf00fFFfDVlox4WDTVdM0NijR2rsvBHqP66XGrWso0ZNzFY5bLpe/MezKinmndYmlkREq5At+41l2cHynAJSjnIXLyPxMgEqu+8gD+hERr6sfUO+TKVD7i7j7T3vv1mtDGTHwbX9auAfV1HdZQow32orZdObkghlRrogWJudXBkUCBYoMbUTES172GBHC8cCi+JU/q74u7nn8aoMLjfylTJLurEX40QLGQAvI/Fnd5X7nWj9AIgrxiIKhMbbh61RMm7Acw8l4/6AKxruUanjacZ5+HGl4Pf+m+Dp5zzukAdypCcMsoR86Y1kDjnTB5lyQO8aDS/+kDH5g9L3PKAR8HnaNAz0jtK4+KgKw+lsAUqldKXr8UmMVzzOvyZ4nUpMF/Dfkj33c0CYlHeAXMkbiBZrNJE7+sC35/e48BxHnvEw4vf3WKK1GSOAjpRibd7COp3Q/2awhocpVGH0Kl/5hsy8LKXmpCkjL0PZRTnKLMxWmp2n52UrqyBfhRZWTnGh0nOylcOCYzNgs/JylEOPa5k1DLFevcR02gu3uf5vQ7wsUOao/+iDtIw0vfj6y1pwwiLt27Cq9mm0vzoM66ihhw3W2AWjNGr+UI1aMFhjjhumcUuGa6wdRywYZMfhmrzESNaS8Rp1xDC16N1U+9fZWzXrVNfyFUv07dpvVGR5lW15VQwJ4b0Y8MTH8saJFsYCsJgF04R/iXH/JWGaNsDJDp0FAXQclMOYltlABtahhZEtM6hiZIuRrWIjAqVMBTKDydMZjWJFKa8YOdseojjF6zREizVF//t//+/vEa14nnN0feHX6HNIA6M3jGhNmjQpjLzsTqIVd8l+B8TbDT/gtgP3MJjzGUEM07HylZWdbmUuQ++9946WLVtiBLJ2mDrImqxHH33Y0vtPffxxtGZp7do1pmM3hVEkyBFEifVK2CyMbjBCxYgSa7D4xiI61ttP3gu8o8yB7Dye8TQgR9f5ccTlGwfhMCoG0WM9F9+88hEXD5tnOSccf6eH579x9PNEJP6WzC9hF1kaC0xXIPNgZzz/nCYfMkVValZR1fpV1GdkN02dP1oT5g/R8Hk9NXp+H01cOkTjjhukQUf20oDD+5gOGaHJiydqzOGjNHLGUHUd0EG1G1RV5y7tdP55Z+njD81OCVNxi8PufAV8E62M6eEWH0ZxGNKiuMSKTFxenmZHZfcd5BtT5chfiBZT6CDNleVL/Nlt7luE0F8OriNE/ziL9IflEWsxjUiVGaFiS3hGsrZY2/hdWQQFQK4inWI/RrC6by8Ox8T30pI6uBePWzK43MhLJ1qM2DLNFaKFze7lKTG9u9L9TrR+AGQImUajjZIio1BcPrLlhryPvKCk+M0VExWXZ5GHh+mO8z0xzbsTnn538fvIkgWuyBwyi7F+zTXXhF6amjVrhu9hsViWefh8I8L9eWNB/vA8Q8jstERjwoYKPo3kzjvvDOUR/zQqHo94vDhPdu/XAo9zIpL5/bmIh+sNGQ0qZZ+G//zzz9/6XQ9GJ6lP7s+fT3bOcc8kWrwfoxTjwxqXcvCtII7FpWaoFOcZcUpTdmGWsguMaGWnalP2JqXmpSk1Pz185DWjENKVr43ZRroKco18GQHLYaSrQLlGtnLNkC00A5f58ezIxLtdPkFGdm4WbULc/nsQLzMcKW/U/wDTvZ9/86WuuuladR3YXVWbVlettrXVum9L9Z3SUyPmDta4Y8xIMlI1bdkETVo81gjYSLs3SmOPHKkhMwepy4hOqtG8uv7f/v+jg7t30Q03XG96Jj3oe/R7MD7t3axZqCBalj8GNxKgBtHR4lke7z0BVnACnGhFvcrR+dbr4MeOkC0zlCBc0VRCK+uQLgMySNaux9+1o+A5B+t16Fxj6mAyooV/P4+XA0D+0DbwPCNaTEFk9znKh/uJv9fDwiXe/6mIu2S/E4e48csxIleR4V9ics7Pz1VuXpalJ1cFpiuystO0evVHYeog668OOqiD7rvvHiNQqWaHmN6w9gwQhtsgtI20h06WIF20nay3Yio+W7BzjzqD3IDbMMQjigtTSqN8dt3j8DTEf0uUsV/zG+E70YIIsDscI1r+vPv3sD08D8t/T7xORPz5RHh8KQ9s+sK3ofhY7pcmh4suu1Rdex2sqnUOUMvOTdVrVBf1m3iwBh/aTeOOHqhDlo7WlMWjjXQN04gjhmnM0WM0ZNYQDZo6QP3G9lEre6Zhs9qaNm2CnnziEWVlpiknm49Jm41o7ypgHSTvDkTL0mFAhwflUe7iaUtMX2X3HeQbI5hsl886O+TLsglPO8+5i4eVCHtTUsT9uP7w2R1h7VXopDF9ESdUSYiVPUgMwjHxnRbLrWSLY/ydlcHTk0i0mCbLCB+dDKTf5ZT47K5yvxOtHwDxIS0oLUZFyCgMRG/IMex9RItrN/JJI4Ud5cYIGBnvBRzg4u/5b0YyWSArGhxkB7EFyJ7pDGeeeWYY0WLuMTsXsc0rZYtdiZgawo6EGOIc2aGI0RMW6FLZIFko9wsuuCD08ECQfcQs3gB7ZfT44RLj+GuAp8fT4tie+6FnK0PcH/ID3jCj9PhoIo060wfZepY85bd4vfAwOPp9jnsm0SJ+NCblRKuM6VMR+GBoUQlTy3KVmZehrPxMpeemaWPmRm3M2qSNOSkBm3JTlVaQaecZ+jY9RemFeUrJzVJKTqYyzcDKyM0OUwjD7k4YuOXpRCaU180mv60fPv5e/P474O0JMgFco4PRHTlWr1PMAH3536/p+FUnqffwPkaaami/+vuqRfcm6j6mi3pP7KZ+U3sZqRqgwTMG2HGgBh0yQD1Gd1fLni1Vq1UtHdCgqho0a6DlK5fr9X++rrVr14V3oONDPtj74xtiBJKVhGgBy6mk6fglYH8iWJySIvijbBnMSAqbV5gBFS1kB2asWvrLzHBk1zDvmSdsr5M/BjiOnp/vvPNOmPr3P//zP2Etz44QLY5cY8wzFY6phxAtNmxgO3P3tzsQd5Xdc/uC+KIvndhwn/VyBaYTsnPSA8HKy89SWvpG06efafGSRWF79x49uumpp56wMJjCF03j8/DYPRLk5/Ox2agzmPpBByQzQpg2yCYXl112WdDRPBsfyfJ48IzDCVcUv2j9r18jW5d/IrjvYRA/iBadpk4E4rvixcOIh+kyBFwnuvhvifBweL/Hm/Sx+QtgWl/Z5u+UnZun519+RUtWLFfbzu3CWq1azaupWdd66jK0tfpN6qKhh/bW8NmDNPKwYRo6c5j6TRmgZj1aqsnBTdXy4BZqf3AbjRg92Nq8c/ThB++aLCPyGrZGN7nmW74WWv0ppaPO6lVEtJx4RC6e1sQ0VXbfQbrYoRH7iE1N2Iqf0WHSHpdloksMM5xbhfajw/2B8iftnGciHUB6Auye/UmC6Bl39oTd3vYdDgsxHOPvrAwhLDuSfjrfkxGteNocXO9K9zvR+gFQGX3EA+UAqWLKE0c30h2hYS/3S6WCZOGPc8LxQh4Pf09M8y8BlwuOIxUFQwaZU44gucgXmWJkMwWQebestWIqIUcMcTa4oGGeP3++DjvsMI0cOTJMjaDXDLA4lG+AMIUEwkzeeKPieUTZjSskd/H4/pqQrHwlusTfgZfNHS2fcX/IDngDzIgW5JYRLQwmRibJV+QMeAbnYXD0MsFxzyVaBohWGdMlMGIM5SNbJXZeZIQrtzBbfE8oIz9Da1K+1Vcbv9a6zA1KyTPiZURrU1660theeEupckqLtCZ1o/2eZv5ztD4tRWs3bVR2vhn1YcQkKo/IpLS4pMK4/S8e0aJ8kf9eljhHb9Co0pOflpGuDakb9I9X/6GzLj5Lg8cNVsM29VWvTW3Va1dLVZvtpwOa7KearaurTtuaatK5saGJareqq33r7q/961VVy05tdNgRc/XM089q/doN+uqLr5WellFuqJneMAMDUAKB79bl5IrVez6p1Epq0nT8Etjai74deF12+ULuN1u5494WwDnbxBvZj4eX7H0/BBxH8pDwIVpsZkG9R2/QK08ccPE67/65DvGya/Q6MxnYrpwONo47QrQ83J2FeHjJHPFx+8FtBwfTBtl2PC8/M5CsaKOBPH3x5WotXXbcVqL1+OOPWttoZIw1nRYGMmLjBbbsZ7oaRIJ3eIciupdvY2GbsUaKrdSZ+UG9oUx7ucZvHC5bB9fcd7+hfCT4ifvld/zRtrMDIRscQbTYUdi37ufd+Ik/5+cuw2Ty9Hsg7j9+j7A8HsS5Iq2UbbP3Sr8zMlSiNes36aHHHteCxQvVpU8X1WpSTdUbm45osZ9qNN9XNVtWUcOD6qlVj1Zq1b2N6ndsrH3qV9FedfZWnRZ1NGLccF182QV6/fWXtWkjnTJsIR9tf86U8PzSYhVuNpkFogVMO4Awghy5eNw9/pWlKxGkibV52EiUfTY3oc30PIznE2G4SwwzIk32e/nRf48j7riMwG/RMegDd7FzTh32ph9E/J2VAceRvIVosclKItFKfMaxK93vROsHQOWALGGIo4Qw9CFaKCzWD7FolB3QmOLAaAuZ6woTZQIIww15CjfhJnOJ7/5vguc7DhlBWH0ky0cS41MD6Z2hR2zhQlOEXboEZcLuMnwlnq/G77PPPuGcKYb+bQ9Gsthylnwi/2h4CJOjK3fyyOHKyOMVj+9vAe6S/fZT4HnI0WUXNWIloRFn6iCjWZBivo1CvuIP8BwuHobLnuMeS7To4Y8TLQDR2lIkPmYL2WLqYE5RtpGoXKUXZmptxnqt/vYzvb36Xb31yTt674uP9J9PP9RXKeuVVpAbphCuz0rXppxMbTTjaX3qJqUyVa0SouXGbfI4/vbh7YmXOc7RuehqOlNoh9JNnmw+8vHnH+mGW6/X7KNmqmPvDmYU1VTVhvtpv3p76081/6A/HvgH7V+3iqo1rK5azeqpafuW6j10kBatWKZHzPD6ds06padmaK0d161dH3QR5ZuRLCuBZEPAb4VoYVwhV3TjNqDemqyRdwB1OB4WLsn7tgevw37Oe9HVfKiezzpgQ3DN++P+o1dVXHPE0eZCtBjJog1gZIvvLxFfd/iPg2c9nJ0BL4+cxx3X/i7SGbcX4iNSTBvcZHrhiy8/CR8ffve9t/T1N5/ruX88HYhWixZN1bnzQXryyceDMc+UVuyPvDx23S2w66wACBfv8VEq6sR1110XRpSYHYKdxogWv3k9qgweb4875d/1fLzddHANyDf3Szr5hiUjLrTN7HCIjkcuxBG//o74O+NyTDz/MYiHzZRBSKm9UvkFpcrIyleuHTekpOvVf72ua/9+nSZNH6+OPduoQeuaOqD+3qYj9jYdcYAObFRDVepWN72xr6o3ra02PTto3IyJOv+y8/X6v18zHZQWdjNkfVZB+RTwAlBWYkTLbA7aju9YM1gS2pHom3IVZTpZnF0Oye47kDMbn0AwGNE64ogjwjRaz5/EfOKZ+Du53jqdMQHxd4NKnf8U91J+ziGOELSdbQ+J700GHEfSx1RYJ1q+Rut3ohVDPPF7AkgLDSrp8ZEsCBVT1RjyHjVqVFh0SO8BBZo0M2LCDj0oTJ71IXlXZHtiOn8pxB3XyAd5YSSxCxBy5xrZQ7xogMgTSBIEl7VWp5xySpiDz5xkGg7A6BWKnIb21FNPDT08NNTki3/ckPxB0RCeh0sljSsij2M8zr9m7Or6RpjIDnjD7rsOss6Cxc+sCaCjAvniL/6sH132HPdkorWFBrPE6jY7ChblqrAcTBvML8pRYZkZPPkZ+jZtrT748kM9+MzDWnHGCRo4ZrB6DO6l0dPG6ZAjZuuEs07TfU89qs/Wf6N1man6etN6rc9IDTsRsk6L3tCws529m40XWMRdakdGFcLUwSSN4H8DvJx4eeCaMoe+RfdC6NkMIJM1cFmp2pC6Tqu/+FgPPnm/Tlp1vMZMHanOfQ5Sy84tAzr36aJBo4fqiEXH6IIrLtOdDz6kjz770gzYfGWkZSstJUOZ6VlKS00LegldwXtD2SvHr4poVQL3gzwBawSj7+aYUWrn/o238J232LTBrYiFsSPwOgx4H3oBfc3MBCdajHC5vN0/zp/zcxy6B2LFJhiVES2cP+thxuPxc8G74vHE+X3SQTmlDYIYcQRONDAK33n3P7r+hut07MKjNGHiaPXq3U2TJo8LO18OGNBHtWodqCZNG+nhhx+y9iv62DwdwenpGRYWM2mika2CgqIQDwgOdYI2EDuFNVrMMvDNMNxGAd4OEhcHeZIsPQ4cv7v+j8PD87rJCAPfRiRvjjnmmDB1kDB4j7+Do8PDd5f4u/tJRLLf/F7Ih9Iy09fW/heVKS+/zOo5U7+trtrvZaZX001vvPfxu3rg8Xu06oJTNHX2ePUaeLA6dGun9t06qlOv7uo+sK9mHTNXl/z1Cj33+gta/dWnWrv+W7NZ0qxdKAw62qcX8+kOSBbgO4qs6XWipZ1ItJ5++mkNHz48ENlEouV5jKyRweaEqechHB+hTgqLoIF+P6v+0dFu2/949a/0HiClibBYfA/xeP0QvL6RNogWu2lCtLDNIfbUDX53/+7i57vC7VKiRQNHZf4x39Hye3sKyDgUEwY/ChBFhvJnlxzf0YWM9C+j830m1qHAoMlkCjuNPCTBpxa6Mk0s7Mne/1uH5zmOcy8bAKUAqaXBQWYQIWTIOfJCdjQc+EHGzN9npIu1WSx6pjcTg5x7NCIY9oRFGE58CRPwLt5JuN4wJJbT3wJctqQT+LUj7jfu4vd/CIRDmUamyJayjvwhWkz/YW1dMqLFc1zHz/3I89S3RKIVf6ef7z7QwphRQINZbOWzwOp2npWtnEwrk5mmK9KVnsnUv2/1+ZpP9dg/HtPy05YbueqmOi1rqnrTA1SrxYFq0K6OmndpprY926rPyL46/aIz9OQrz+idT9/XJ19/oXVs6Zyfp8ycXCNYkaEbpqAEPULnADqE0fIKwvrfBC8zAMc15Q9Q9tC9NLDoiozMtJAnmdnpWp+yVqu//Fjvfvwf/fu9N/Tqm6/qxddf1Ev/fFmvvvG6Pvnic21MT9P6TWnKzCtQQaEZYrmFys02Ql0Aua7opXd9QRysJFas0SJ+XFu8IsIV/e7x3TnYkfpJ/Ygjur+N5ZOAbeqUxd+utm7yEQDBCoh0R3gOjw673vr8DiD+Ps/DONFiihu6HL2PX/eP8+fi5+gepgpOnDgxtNG/BNGKx9Ed96KyCeFgpgyzZliLbGXTympuXq42pmzUQw/fr8OPmK227VqqTt0DDdVUq/YBatiopurUq6Z69aN7XQ/uoFtuvUHfrv066JzM0CGZEqa2MqoVdrqzd/BOtzfopLz66qvD+iw+GMzUQUa0+I34ISMQP4/f83R5GhPvJTr3x/PUE+JBRzWbU2E3HXXUUWEzDBx+PBx/zsOOO663Fy+H33d4HADpZQMMRrWQU2mYPogdYqQ032w0q+OMRGXlZCglY4PWrP9CH65+V/96+596+V8v65U3XtNr1ha99ua/9e6nH+qLDWuUmZ8dvo+YnZtt+Ztn7UP0rkCgrb7wTariLZYXTB3cbLafEayIaJVaoqAb25bjxHRUdj8O3sd69VGjRoapmU60SC+/ebtMPpSVIj/C4p0GqnJ5/bc/dsPqS2BT5fD7BjpXtl7ybHnsAdfbAynlY80m8or79mQiEtNbGYivlwPSBdfg+2HUfcoZ3xVzogV4Zne5nU60yEQSQIZiSDFFCOIB0WJ7ZydalVUMXPx6V+OHHOnw4XyUEz1q7GIEeWQKFMSKXhlGTRjZoocI8sXOaoyosLUs22xC1CBZNPqQNQoCIFxXbomZnxjX3yrccR4vD5xTVpATxowb7hAklITDf/drfkeuDogYgGABzrlPWDyL/CmP/s44PC6/JNzF78Xj5nF1lxj3+Pn27u0MuBzJD2RLfiBniBIdLfERLUYVyV/XGYl6AXBN/rDGi9FKiBa9dGzbHE+Dn3PE+f1dC0trmFtv5a/IiFaeNazWuOZY/c43nYHBwzdv3vvgP7r4zxdo7NQRat21qeq2rqaarfZV7bb7qE3f+uozoaNa27F6q/20T4O91aJ7U404ZJiuufVavfv5B/pm03qtS0lVamZ2+L5Wdl6+ge9uFanESF5BWb412oXWUCHHXZOvezK8zHCO45wygx5A56JvAfU+MysiwUyzyi/Mi1CUF76HxTG3IDdsp5+dm6M8e77Aym9eQaHyzSAuDMZYVJ6LzUguNdLLe1x/bC27lgccnZCEazMYIFwcE+P/kxHKecxIiSMYP1F9CFuuJ4V5IgD7nwxJ32kI0yQDSFt0vrNGU4PcyuWIXCFWfECXXQchBEzTR69E6dq2rLvzcMgnOtuY6cCoCe02RItw48/tSpAH7hLvY9CH7yoVlWrDxnQjShtDZ8qXX3+pex+8W9NnTVbTlnVVrcafVKP2fmrRur669WyjTl2bqU79fez+H1Sj1h9Uu+6+mnboWN1x5036+psvlJOdpQ3r1mvD+k1aT5jpWaafMLArCAYGJ0SLqdzoY3QzIwCui12+lSGelh0Fz5G3Hof77rsvdEiTNxABtneP+40/m4h4XBzJ/CUCfx4Hr7sgsi8gXZQ7QEdumeWRESLashKzM8LHeAstv/KVm59jOiJLmSbrdLMp0jIZLc9QBrvFGrkqKKJjBvuCTZJiU/TKdcI2uoF2JOhuELWfP4Tvl6coXQ4+cv38889p3LhxoWOTDcNef/31EJeIVKLHsEGtXJTa83Ao1AF6o5xXRWUXrWX1xUghZDB8viRMl6eO0hHNkfdXxMsdl9sDupBXBL1oN+Lp+SlwGXBOfsI1+IQP5atPnz5hTSCzpOLlZXe5XU60qMzsbJNItLzwVZZg7u0O/NC7SAdGOQQJJc8QN5sr0BPE9z0uvvjiMCUNhU6PAR/AxYgcPHiwqlWrFtYO0aPG/FDIFmH5yJYbosgiXkjizuXzW4a7xPteIVw2rhCdUCE/R6Kc/Dlk689AmJ00+wgZYSaWxT0FP+Tw42n0sgM49zK1Pbj/nQmPhxMtB1MHWaNFvaFhZ8criBb+/Zl4Pnj8uEcexYkW2/onEi0H91w2ux7Em4anRKXFBSrOz1OhGegQrWJryLKtnm9K2ajHnnhI02ZNVP3mB6p2s/3VfVhrTTpqgGYuG675Z0zUsotna/6qyZpu1y371NbeDf6gfRvsZf666s9/v1IffPGJvt64QZksbC8tU1pOdtj2vdjeW7ilSDklRsA2F1jDZXlO85U0rr9dJJYDrikzXufRtcA7XDiPZhUUqsgMIb6DhWHC6EwZ0+N41soszxcGXePlOOrscSTTHRyTIR6/nYVgpFhxrwwVxgvvp6wmwjztgEt8764EsnTdhXwhWhjhTrQwFsmLuMwB53HH7+Qfuw7+ckQrMlgDceVQfj86Vxg9KS5hK+4tSs/I07frU7QpLUP3PHCPDjtyhhq1qKdaDaqoV/+DNO+oaTrlzMU696KVOnXVMZp/3ESNGNtFLdtVVfVa/0dNmlc3YjZed9xxo778/FMjV5lKS0lX6qY05WTlGtFiHakb4RVEiw5h9HHcNiOOXm4dFWn66SAcfz9HPpo8ZMiQYCNBBJxo4fjdz+NhgB8Tr7jjOh4HykEiuB9HxX0DI1Plo1PMIIBEMdqVz06C6Bl2fMyr+Giz2ygerqdpZyMuD94BiB9Ea/z4caHjf+7cuaHuMEUw2mHRbKli81dida4sKqeAc78mbLsyUF8MdozGoSJwD+IVEa4oL+IuHsfdBY8H+tmJFuUL2+Hmm2/+7REtEvprIFoudC+gDr9PPDHMmZbGRgpMWyLj2NXu8ccfD3Odt/aW2pE04xclwnA4I14MXbKgly+yMyqGP44+ouIGP+8lTnHn8vktw13ifc8Dv0Y+5IcrP4eXJc+3ZGHwG36RdzIF6Ig/+0sjmUz8vjuuPY3u/Nr9+3VlcH87Ay7DRIPUt3f3HtRkRIsj8fGj3+N5NtNghyonWnR6JIs793CJ93cNaI1oZBjdYJTDGl1rbLPSM8J213lm0PO9mzNWnaz2XVuoRsO91aFPI01fNFwnXTZPZ1+/QJfevlSX37tSF962ROfdukSzVg7XwaNaar/Ge2nfentp8pwJevQfj2tTdobyzNDPs3K7ycJnnr9JVgWlBeEbXUVl/71Ey0Hee/mhXlP2qOeuYzF+HHEdgL94GXQ9Abz8ct9B2Ml0Ds7jkIh4PHcWLNgkKJdDgt/AyhLB/R1w8XB2NVy+pIEjUwdpR6n3EC2mhZN3cbkDzuOO3/dMokU8o98gWoWFpWacW/ksKlNKeo4+/+prrThphdp3aaVmbepo1KR+OvP8Zbrpzj/r9vv+or/dep6uvflM3Xzv+frzdccb4RqrYaMPUuPmVdS0ZU3NnjNVjzzyoNKMSGFUZmdlBzkw+urlFblCtNj5NU60tjeitW26fhoIx9/Pke3H0eWsIWLUcncSLY9HHH4/7sf9xd/lv3PfdYzrE65dZ4DEcD2MnwvC2h7Kykr0wgvPa8KE8YFoMf2WgQD0A9MiQSBXVhx9FAuCZc3KVqJFuQ2dNIFgcQNQfivA7/5O4hV3iXHeHfB4kAfxES1sh5tuuum3Q7QoUJ5Q1mhRmdmYAKLFGo09jWh5JXDEKwag8rCuh5EqlALzXdlgASVBWiBY+KEh5xwCxegXGQrZYjSLne9Ym8L3n+ihQ8nhlwYfEgd4bzJZ+L3fMtwl3o9XCL/2PIqXIUf82p+NgzDcX+KzDn/XngCPdzx+no64c//ukl17WMng/ncGkCtHb3BczjTil1xySdgYh4adxdcQLY8DztPnaSUcjoTDiJiv0WKKrhMth7/fw/LrXQ8rT6zRgmgVFyrPiFYmRMvSnZOTpZde+YdmzZ2qJm1qqWXXuppy5CCddsVRuuyO5brivmW69O7jdNFdx+riuxfq3NsW6JRrD9cRp41Xi9619cc6/19Yv3XiWSfoq/VfK9eIXLbpjI1p6So2uTDHH6JVUJynks1F1uwh+52bn78WxMuN1283dBxeJkFlRhBHfzbuJ/4eR+Kzib/H4b/vTERhc6Sd4Bgh0U/4ns3mJAh+qSuJ2DaM3QnkicyJN+cffPCBFixYENZoMQUKokRbm0zuccfveybRioxVi7H4WG1BYYkRLT4HIWXmFuqp55414jRENRtU0YDhXXTSWQt0/W0X6tb7LtWNd1+g6+84S9ffeYZuvf9s3f7gubr6phN18qo5Gmpkq17j/dWxcwudedYp+uDD98z+WhdmzwSiFSvLHJ1ouT7+JYgWHdVjx44NRGvOnDnhu5bul985Vsht23B2NF7u/Nrj4CAuHh8QDzvuL/FdlflJ9Ler4O+qHGVW1l80+3NCsFn5RAKzrir0BDoDuRg4t/IXJ1rc8/dU7IRIHeP93KuAv/P/Z+89ALUqrvbfe+///31JNLGhgkiV3sEuCiIiYqUoooCKBSwoFuwVCyC9iQgWLCiKgNh7izUmGqNJjIldOqf3hs9dv9lnwfD6HkQ5B0sYeM7e796zp8+a9UzFfmzi8G4peDjQyVOJFrtUswFaVeGtSVNjRIuIQrTYQhSixULWm266aV1l9sJdVYR5VtPwBI8rS1zpAI0yCiGH3tKjRu/ApZdeGtacsBseQPAzXAy5csHG9BR64RFmrOHirKdjjjkm7HyCe6QPRAvCxfdVZb4/+zXDTerzOE3i33H+AH9eFfx7DL839p3b/bnAwxWHOZ29quAm3buaiDP1h6srsx5mRn4hV6zXRGGCdDGV1t9j/N7jijtccYv6xlbEEC3qEccqePhBHAZM/LsmwXSz0rKSMAWt2IhWHlssG9FiTv+q1cv14CP3qmvPfbVH213U9eh2Gjn6ZE26/2JNfmiEJi04VzfdBwYXoQAA//RJREFUe7JuuHewxs4/Qzfdd7qmLrpYE+dfrNOvPEYtDthN29b9P+rRu5uWPL1Yq9iBsKBAa7JMxpSWq6CwKGwXXFbOzlVsDUya/fzK8JaAlwMvO97GOGHyZ7HC+X1uOLx8xeXK7cao6jnw76oVuLuOLG34Dr0ovAt2DIFc2e8Y4VvA9w5/9tOA9Pb8Av/4xz90wQUXaJtttgltL5scMe0zNV3jewzf/vyJVkUgWmy6UGpMa3VWlsZNHqfWHZtrl3q/18lDj9W0OdcZuRqtOQ+O0uz51+reRTfonkXXavaDl4brvMdu1My5l2vE5f215wGNtXvjHdRvwNFa/Pgjpn99o9y8LPOjQEVh05z19QCidfvtt/+kRIuNwtgREiJwyimnhJlA2OMd4H59um3ozqaGy038zMMRI517/szfx+9S7cRIZy81DJuLdP6C9XbW6s0339AJJ/QPRJZlLgwWJPZI48pRLQhVIFXJlfIKwrNAyBI3E4O72E2fTuvtJSa2s6Xg4UC/pjxDtJhRRictRAt9varw1qSpdqLlEUA5gj3ecccd4ZwjNo5gRIcpRFQ0r2xVRZhnWwqEIa50Hi4PG+tD2GVw5513DptgsHsJJBJihbLICBaEiSsEixEqfgOGayFmnGXAqN71118fGg8KAg2G76DnwL/YeBh+zXCT+tzzIBVxegGeuanqu9jN+Ft//ktEVXGLf/s9SDXxu+oC9Rp/qf/Af7MrJNMFmUaMwsQuV5CvOP/8Ps4bflNX2JGKc9AgWvSC/uUvfwnvHHEYMPHvmgRbXHOQcBHz9U2ZyWN3wOws5RUyDehfGj/1JjXrWE8t96mjE4YdolvuGqFpD12oMfeepnEPDdHND56kWxYM0uiHBtn9yZqyeLgmPTxCo+86T4cP2lu7NPudWuzZSFdcf4k++exfyi/MN8WMqW8cQJpnV9arIE8TJSpdGH/tiMuBg7RAsaTsUA659zLpCqd/j+Gb1DYpdj9+ztWf+fPvQ+xedSCZ+he0IQo7MUgQtKXK99/BemvrrKe4+1ODPHC5QdpS7zlCBaLFlH2OTaF9rSqNuWL49pdAtIqs/ublFyjb9IbPv/5SQ889U41b1NUerXbRxVcN0d0P3aK5j9ykuxdeqzsXXqk5C0ZqtsmPOxderPseu0LzHr9Wdz9yrSbNvkh9Bx6k+s22V8f9WmrMhBv0xTefKrcwWwUl+SafCize63fHZOZNTLSYbcSRNbwjnOnSdnOBO+SLh4Fd8dgJ0okAG43FdYpv1qfbhu5sbrg8LLFfVSH2y+/jZw6PV+xuqp3qQhyGVPAew5osDulG92SzNuoO4cMOV9ZqQbYqrYdyuk6kOPxdpeF3MmruvzdMn9h4WLckPBxOtDjWB6LF0TB33333r4doeYQRZvSaEDl232OtEuySKUBxgawqwu7OloAnfCr8HafRM/TKAbjsmsZCfEauWGsF4SLzIFiMUPGcqYa+IJKeeJg0SiLbmNJz8/LLLwcShh0aA/ygcSE98DM2Ho5fM9ykPvd8SEW69/6bNPTyFZczL2vxe0/vnztiw2+Pj8fJ7fkz/+3xje3G9msCpCt+IOiA/4ZosUkMRIuGddy4cet6UD1MHkYPL8/cLTon2ITmt7/9bdhJiSm4qXYdnk5bAmycUGThKzQUGNHKLyo0kpWvNTkZevdv75iyNFwNWu+svbvvoXOv6aepD16kKQ8P15h5J2violM0YfFATVgySGMWnqgxjwzS2Pmn6sa5p2jM3HN05pXHqG2XBtql8R/UZ8BR+uPbr5pClm3pYQSiuEK5OaZAFVoal1h5LvvllOfqBuXAy5CDtKBsIVedbMXwcuffVVWW4nex3XT4vnfVhfXEqbL7OYCFFQm+JW6Gyh0xApLRLWB1YwNUHWawpUdIyRfyy8kw7efIkSMD0aL9ZBSEtva74Uy+5x7Dtz9fomVlzMDW3nTQ5Obla+XqVfrr3/+qfgN6q1Hz2tr7oOa6+uazdd/Ccbpn8Q26c9EVuuvRSzTjwbN060PDdO+TI3XvEyM155ELdc+jV2vuoht0wdUnqv3+DdSo5S46/ZxB+tNf31R2QWbYlZSpxWXlyaYvpLETLTqOfyqixegkuzJDoBnZYpYCz72uuUnnTnWHqyq3Yr8AYYsRf+e/42epxp9XF9y/GISDd+ipEFmIFktYXnjhhXXpSx1IiBZhdveQB5RZ4oLbBHg9eM/z8jL8qLRvf3w6IvexSdzcsiD+XJEhqUSLWWm/KqKFISMhHCxAQ0Fi2t3VV18dDqXzihYX1FTDsy0FT3jCE1cWQDgZlTr22GPDLoIsHmVKIL1qjEb5RhiQJuLr0wd5T2bzjMaBAo9AYZedBx98MJBQpgwC7AH8IjyxIQyp4f21wU3q8zgfHN9nh/zz8uVlLM5T/+3vUt37uYCwxmHEePhRFFEiAPXM4xorkdhLhOn6Xnx/jjup/lUX3I84fPyOiRb1gKkq3rB7mLiP8wj3+I07zN+nwwai1bdv3w2IlscHE1+3BDhnpciITkFJqfKKiu1arKKyEq3IWK6X33xep51zkuo230H79NhDF97YX2PnDtPY+4YYoRqk8YFc9dOo+Udp3JITNPXpIZr86Oma9ui5YWrhzbPP1aHH76Xf1Pp/tE+XPbVg8YNavmKZSo1oVVhjV1Rg5aDAZIehwsKxfirYfxc8/9M9p3xQrgBlcWP1YGPuxO/8d4yNvQP+vjpgfxAGBogViypKpXJgBKKsVGtLrTxYOVxr5PtbFKl1sLCUWxhjhPBR76rClpORGPKGthCZRR5BtJhNAtGqU6eOnnnmmdDeVpW+3GP4Frnx8yRali+GMsu3IqYbF+RrTVaGXn3zFfU8urvqNt5BPXvvq2vHnqU75l+vux65Src9dJ7mLDlfdz8xQvc9e4HufXqEZj0yTNPnnak5C0dq7qPX6/qJw3TI0R3UsFUtHd3/MC18cr5W5a5UUUWhSjmComLjRMtnGxHOqtJ3c4A7Xh/JA6ay0YFN3iDTWXfr9TM26dyp7nBV5V78nCvhjxF/833G7VU3PIxx+EhD9Fb0Tk9f9FCeY48riOOQTCfkW2DuhenFFu5KsA18cZG1d4XMFOBb/KwURdgxN2ITh3FLweMSEy06aFh2ANFiYMTTCntbytQ40WLvekZzqMwcHsZUgHSNXWz4vaXgie4FNBWEk0MP2YefTS04+IwMhCgxYsV7yBK9bMSX6ZJMIeQ9hAuBRk8N0weZPgmzZt0a9vgWNyBpnh6EyU1qWH+tcJP63PPGy4gjNvEzv0/9zo2/87xNdffngDjs1JOYJAF+U94oNz711MuQk//4fUzk0xGu6k4DdzuVaDFNcMaMGWG9JoLfG3YPD+Hwbx24x3PcYVE8U5AhWv369dP7778f3mHP4+B57NeahvmqYmtwikvXqtCITm5hsV1LVWLKDETr+dee1omn9dF2dX+nfQ5romunnqap88/X+AdO05gHT9Toh/ppwpL+uuXRPpr05ABNe/ZUjV1wkiY+coYmPXSubpl7no4ctK+23/3/U8f9WmnGbZP15RefWWNXZETLZFOJkW4jWcV5RaZno3Rb3P8LyZabqt75vZcXL1tVGbfrSHXH4e+Am/i7GPF3m4tE8zGFvcJIVnmJNbbFAU6wyoutPBjWQlaoX3ZlF8xy6qKRr/LSCpWF7Z3plAGmgJvSX2GkbT3B8vstR7QAeYOcQl4hG2KixTpnNlCAaHm9T01f7jG8R/bFRIvpabTluBv7WXOw8uBEi2yzPHOiZdIuEC3Ob8vOzVFufo6ee+kZdevZWbvW/4NOOPUwjZt+se5ZeJPmP3Oj7n7sYt32yFDd9cQ5evDFi+x6thGvszT3iQt095JLdNuDl2jUlKE65qTOatahjg49+kDNmjtDK7KWqqA8X0XlhSaXOEomkbfoJeghPyXRgvQywwdFmI5sprqR9x4GN6nugOoMF6jKvXTP+e3lL34ew7+Lkc7ej4Gb+BnuEyZPX9KRHTqZOsiIDrNAIFoebk9jwL3nCd/5lEIHm2OUWRsHwSrI58gMa+c4zJkzuCBkoc1JwhMbd/+nQEy06tatu45o/WpGtMhIDBGhMs+fPz8sRGMB/JVXXhm28CRDsecRjRNoS8MLqBe2GIQT0NPCSBRrtJjryogWJMqnC7qSC5xckcmMdkGomPZ08803h2mHjO6x5T09/K6M4kaqgInD6CZ+thW/bFDuYsMzL4eUOa7YoXz4FFMXhNw7ceJK+YHcU978GWWT77xc8Yzv+O1+ezhAHLYfC3cL4I/Hg3ixAQw9qJR/pjKkEi3s+D1ueVpwT9jZ5pnDwNl9DMUJopXqt8dpS8FSLSxmLzblNb+4JJxzxbWgtFjZBVl64y+v6dSzB2jXxtto/8ObauSYAZp4/zmBaN3y8GBNWjJIkx4/UROf7G8YoAmPnaQJi07WzfcN0u2PX6ppD16qYwbvr92abavWnRrrsisu0LJlX6uooFA5WblhymCZ+V+UW2D3pnT/lxKtXyPisux1av078tnqRlmJkakifRuQEC0nWRWQLiNRZWaH3TABa3SS9Xx0DiaHOecXMBsj28qxlSdTxMPZOGtNZlSw9o9tnfGXNn29vIrD5ffVAXePq8sr1kdfdtll2m677VSrVi09/vjjQa4hK5ARqW7E4YNosdMayiZEi7YbopXuu5qBhcWSDbJlUTLgr+VbIFom69Za3pQVhkOzC4vz9Naf39DBPfZXrd231eF99tP4W0dq3qNjdO9jVxuhulhznx6hOx4fpjueGKbZS87QrEVn6q7Hz9ddSy7WnIVXaNo9V+iU4UepacfdtFfXtho37SatyF6morUFKvmWDTcg1ImMRUeJdx2M5bGXN0f6uFWN2PAbN1yeA5fzECvOd4JosaMzxMDbjVR3YhP75ajKpLObDhuzG6fBxkz8TVXYFLOpduP88d/ejpKOjGgxikvZZ10zUwex4+nv31KfqG88S2RFcnwC5wYmZKpCBQVs+Iauy/rgEtN1WRpTZP4keeph4Iq7seHZloL7h+zwXQchWgz23HnnnYFopX7jqElTY0SLKyM8HNTLYWEQrSuuuCKQDjKa9x651Aj/FCA8qXChwIgUPQI77LCDunfvHnrZyDBGDCBXvhmGj2jxjHuEGY0Z9ln8zxlCTJ1i9zUKAQ2Bw/0kLKlp4iZ+thW/fLjh3ssbAhKhx5XfPKcMUkYQHjwDTvB55oKTeydY/p4rz7lSXt0NhCHw+9Sw/Vi4Wx5+QBwYsmdjHAQeRIuOB5Qot8d3cR3w9OA+JlqMaMVEy9OP7/1+S6Ko2PKrzBqiQLQszY34MH0wpzBHf/rrWzr7otO0c+M/qEPXBjr3mr4aN/dcI1pDNe6hUzXlsVONaA0ygjVAk58cqIlLDAtP1dh5p2r6ggs0+b6R6juki3Zp9DvV22NXjbjobH39zefKzc4Jh5AWGsEqKypRkRG8UsvXsLtcmjBuxS8PcVmmbMd11P4kgGyZ4sx0wTIjTqWFRrgriVYpZ7rl0xHIhimcHUZnIKQqV0UlyAR7b+9y8zKNZOWopBTyUmiKuBG2b9nBkrpHXaROJqNbsfGwVCfiOMZEC70BosUa6SVLlgS5FusQjtjw24kWBMuJFqMosT81DydZxI/wQrQsPdcRLaYO5ioze7Xe+/DP6t2/l+o320ndjuio0VMu0LwlYzXvyet171OX6s4nhmvmojM0x8jWnY+fpTmPnmVEa4TuXDJSdz96rW6ff52GnH+sEa062veQDpowY0wgWjnF2Sqw/C0pS0a0SDtm3DjRQjdjR2jSmnde3hzp41U1YsNvd8dlOn44EeCg4pho+btN9Te25yZ+/0Pg4UyHdPZ/DKrT4J6HzX/HaQyR9amZ7NT77LPPhnfULa9f2C80uQGKitBnc0xPyLM8YBAAIpXoI65bUG4Aei6/3S3cidPLjcd7S8H9JLypRMtHtFK/cdSkqXai5RlPwkNAHnnkkXDuFJWZ6XNMAaIQ8N4jF0d2S8P9JzxxYeHeCyyjcOedd17IMLanRniTYV7InGQBRhV4xsgWo1bYY0SMHRc5S4upU7feemtQPCnEKL9xj0IcpjiMmPjZVvyy4fkZl7VYqFEmqD9c/TlXt+ejp1y9/FCWYgHIe8ojdhwQLr53P4HX2c0Fxt3yOu7uUw8QdEydZTMMb9g9Tthx8L1/yz1xYUOanyPRYve/UiNahUa0snNRXpkOVKJcU2w/+MdfdeUNl6h+i53Vev/ddealvY1ojdDEeefq5ntP0Zj5g8JUwTELBhjJOllTHztN4x8eommLhuuWu8/SuDsu1EnDDleDFjuqWZv6uvyqi/XNN18EolXITmUZWSq1tCmyRrLEFO21FUl6bcUvH3FZjutFeMd/NrqwOsKQybfUFVOKSgpMVjByFZQkOlUgJIxkmTwx4p+RtSoo9DmF2cotyFJG9kqtWPWNsnNWGdHKVVm5EfdyyFZRIAOAYwPYRIGRsOBxpfGwhOAE+O8fjziOLgd9+g9Ea8cdd9SiRYuCHEM2ICPi72ODW8g6iBXygulTPy3RIg8Jb5KuCdEqDaNM+UX5WrVmpf7x77/r9LMHq0nr3bRv1+a66uahumP+KN2z+Drd88Tlmr34PM1cMExznxqhe54eYUTrXN356IW6a/FlunPhtZp812U6fkh3NWi5k/Y/pJMmzbxFny/7TEtXf6PMvAwVlyajmshmOoF910F2gUU/YaYO8jgJ64by+McAE//GLZfr5C1Ea9iwYYEIHHHEEUGvwv90YQCxWxvD5n6TinT2Qaq9mjKp/rpJ94xwkL7k8bvvvhsOKqZjk7Mnn3zyyZDudECQxskulKWmL6AnZJi+wICB6RwF1r4UsQwh1+wXBgJG/c/JMZmRsTrYp+OG0S/eQdIYBYvrpBvCE4dzS+FXT7QIMIlLgqPocWgv65ogWhdffHHYwvPnRLQ8rBSSVBBOwKJ9htbbtm0bhD0CiqlQZCZKLVu8I6SWLVsWCjENgSu5bI5Bz8L5558fdl4kLdgenne4zffY5zv8JEypaeImfrYVv2xg4rJHWUC5cAUDJYGyAYl3IuXlEfANzyg72MEuxIwySNnie8qgk3/usQMZ4zu+d7+rSxh6nLh3d/1KPWBjHA4OZDOMUaNGhZFej5d/F19dRmDnZ0u0mF5RWmEEy4hWDmvmjPgwfdCIz78/+0TTZk1S03b1VK/VDjru9G66adZ5mvzgRRp9zxkaff9pmrRomKY9dpamLhmqKYuHatJDQ3Xb4pGaYIRs1NRz1HtQV9VrtqP26dxes26frjWrV6qQHkdTrPOswSsz5amUrZtLIVpMuflpGratqF7EZZmy7fXC31WUV4T1V/bAKt23qigtU7HV+UIjW/RIM3KVkblSmUaucvOzArHKzFujjNzVWpO/Uqtylmt5xtdanWnyInuF8vLXWLnNVmlZfiBajGwlSKYQJiNaid+YJCyVP8x42DYHcRyp84C1nTfeeKP+8Ic/hLb34YcfDnIsllt+jQ2/fz5Ei/yrsGyCZJUGJESrLCFa7FKamaHPvvqPrrhupFq0r692+zTQiMsHavpdV+jOBddo7uNX667HLtGdj12s+S9erXnPX6E5i0boTpMV9z5+ne5dMlq33DZSRw04SHu0qaMj+h6q+xbM1WdLP9WyNUvDiBZ+eftBW8EMA9ZocY4V8pgdoauTaAE33OOWtzm0cehFZ599diBahx12WNiNmee8d/tV+Z9q/Ll/U9V36RB/k+672KS+A/7dpph038dINanv04XPn7l90o885ggURgwh0kcddVSYdkudcKIFWfLRbmQGZ64hL7Jz1oSpxCWl1p4V5mhNxopwXbb8qwB+55lMyc5Gt8gwHYSzYAuCm+RvbNKFt6aBn796ooUhomQ2ApHM7dGjRyBaHDxI5lMIXInCpEZ4S4KweuWP4QKJwoOSyE6BjEYh8NmSlFEuFFgyzodTUXgpyIxW0WPEb3ZLQ6AdeuihYS704MGDwxCu20VRpkEhDFWliZv42Vb88uHlLi5rlAUEIWXDCRfkCKLECClT6FhnwMJWziGh1wrCAtmnnFLuAGUTdyBp3FPenNC7QATVKQgx7h7x4t7rOvXj3nvvDUSLqSLXXHNNqEPEMQ4P4Huvl9zz3okW52j9nIhWohAyMs2GOEzV5DckuFTLVyzXoiWPqHO3fVS70fbqfHg7XXTjEE2+/3IjWyM1/sHzNWXhBZqx5AKNn3+mrp9zUhjtmnT/BbrtoWt1yU2nad9DWmqX+r/XEUd31wsvPhsat2IOIDUUG8EqKs4NyvHatayvQUHZ8g3bVlQ/4rJM2fZ6te4dU9HK7TfF3sCugmHtnsmJ0DOdlx16pldnrtC/P/9Yf3r/LT336tN69JmFWvL8Qr367kv6+6d/1bJVnysze6mRsdWmTHHQdq4q1haZP1Yn16KYc79+jVYSngSVQQnGw7a5wBBX6jxArt1yyy36/e9/H6bu00mJLHT5wjd+jQ2/kZ0QKwjWT0e0PP/SE63i0mJL+zxl5WTrm5XfaPbcWTrg4E5q2qa2BpzaU+NuHam7F94UdhW8Y9EVmr1gpO5/8mrd+8QVun3BRbpjwaX2/hrdPu86jbhqsPY6qLkaNttFA07pp2dfflr/MfKGu1n52Sous/wsT+QxacjRO36uYU0TLQxueXuHP+iCdEDT8datW7egF5FnLvfToSrj7+Mwx883FT/E/JhvU7/ZHLh7pBdxxnBN0rdM7733Vw0bdlbQOyFajz32WKVeQac+a73RKzj7NTO0JcUlRviNRP3z4w/11tuv6cWXn9UTTy7U4iUP6s/vva5//ut9a9O+MDIG8UrWdeZZuYKgFRQkncGEJTYEKzXcNQnP/5hooW+wGQblnRk/6b4DNWlqhGhRmQBK3tNPP63DDz88EK3hw4eHvf1d+fLIpUZ4S4OMITyEmauD3wgEFF2EAmcRILCZAnj//feHqU8ILBRYALGEeDGqwG8yFeFxxhlnhO8YEWOLe7amxk0KvRMtTzPCk5ombuJnW/HLB2WMuuCgrDk5oixx5TckhWkVTDllCivlkB5A5rUz9YKt0lFAmOMOyae3ErJFGcMNJ1mUN/ygnFHm04Vpc4Bxd70uuX/EgR1IIVrs3snGOHRCeJiIv9cBF5Z8j1u8h2jR0fG///u/PzuihVAPi4XzrLEqsriUWGNXulbZWbl6+523NeSMk9W4Vb1wcHH/M3vphlsv1LT512jqw1do4oMXadJDF9p1uG65Z5iRsAs0ae7FuvnWEep3anc1aFFLe7TYXRdfer41dB+FHkTW3aBEM80rv4CR8TyLebKRwVai9etAXJa9PsTvGFyCZMGBIFzsOllSXGLloSDsYJdtys/y1UvD2WtTZk7UGcOH6IjjeqrbkQepR59uGjisvy4bdZHmzrtdb779oilQn4cRrbJyRrQKjBQka7WSDTKcaHlbCQhLCEkwHrbNBQY/qPMAeTZp0qRAtLbffvtwJiWj9LGciNMmBrLT12j9tEQLRdjC+x2ilRx2nss04Jxcrcpao1feeFmDTjtBjVrsqr0ObBZGtWbPu0H3LRmruxeP0qyHLtddi6/SvY9fa+SL87Ou0W33X6EbJp2r3gO7ag8jaG33bKrLrx0ZpiKuYrqoKdJ5JjNKmDZYSbRoX+j4ovMK3WxLjGh5e+fy/sMPPwxnpDG1jXbhiSeeCO0V9tykupcKt5MuzP5uU5HOpLNXFb7PpPvmxyA1fl4XuCftks6/MmsjP9DZZ5/zHaJFJx1Ei41yMjPXhJHv1WuW67PPP9FLLz+nKVPHa9hZQ9Sn3xE6rOeB6nVkFw09a6CuGzVSDy24Wx/9413l5K5SaVnS0QfRYlSLKYSExQ1BtGCFcG0peP7/1xAtKhKKHj3vKIT0mjBMzLxc3rkShUmN8JaE+094gGcU98SDQks8mCvO9tTMaWYoki2m2VERsoUSieBi5ICdexh5AAyFsxaFbalr164dNtR44IEHwrukMiRuO+kiXeIwxWHExM+24pcPyhh5DigLKAYQIl/vxz1lhc4KtjhmrWOLFi1Cw4jwpE5xz/lSkC8ay+effz40mJB9yBYdATReMcmK6x4mNVybAxf6XAECj/gRFsggG+NAtFjgDtHyETZPB+D1z8PJ+5hocbjlz4VoMc+ddVLFhcUqzi9SWZEpUCX23FCQV6JP//O5JkyaoIO6dzbSVEf7dG+r0y86XjfOvEgT7rtC4+4dqUnzRmrmwis0a9FVGjP7PN0w41z1P6O7Wu5VV3X32FG9jumu+Q/P08pVy4w0Z4tNDOh9ZE1NQVGmXXNNeSs0lFiYkjTbil824rLsbVL8zjI7EC1m9JWWsKCdkWFrr6yuZGZn6j9f/FuPLFlgCvdlOrx3T7Xo1EwNWu2uBq3rql6rOqpvaNGpsY7s3V1XXXORnnx6ob746mMrWxlWtnIMjJSa4sRBt6aQoZh5nawpouXuEFeXCShGnL+37bbbhnVa7BxGe+tyJjVt/HuAbGF7dz9LCKLF2U18G9uvaSTb5MdEy9dolavUiE9hUYkprvnKNjn9ny8/1cRpY7VX5zaq33R7HXbsXmGt1qz7R2nuwpt154JRumvhtbrn0VGG6zVn/tW6eco5Gjj0MHXcv5GatqmrY48/QnPvv1PfrPhGOQW5ysln5CHp0AXEH32FzmLajuomWvF3bviNv/hPm0A5YkYDHW60Y+xMzUYnhMvlfqp7gHe441hfJtc/9+8xsTubiqr8it2PwwTi7zYXHh//HYcN48/93usK91xp64uLS79DtEhfRp6YJphsjpOMRuXkZuivH7yrOXfcZgTrdB3UZT81a97QUF8tW9dXi1Z11axlHbtvZOTrME2bPkZv/+llLV/5hZUrI/EGRsWYrkxYCCYgiGuNM8fhr2mQBqRdOqJFJ82vimi5wkSGs6UkC/GozPS+I/h4R2J45FIjvKVB5sSVyEE4KTgovCiuKHcsLmQxPz1kTCGcM2dOEN4ojYB5x0ztYrfFyy+/PEwZ5LBmlOSJEyeGXhzcoyC4cp1UjEQhJTypaeImfrYVv2xgvNxRxsh/CDdknV5c1gAybYbF36eeemoYRaUccZ4b5e6ss84KOwqxCyaHaEPA6BVkei7fcDA4o6sQLcqXN7Be7+JwxL83By7o4/rkRComWhw86juQEi6+ieHC0sPKs58r0WL9Sjlkq7hEpYWWxsUW7xJr/IpN+S1g2nGGXn7lVZ134XB12Ke1GrfdXQf26qRTLuini8cM1RWTztYNM8/XmDkX6Lppw3TOlcdr4FmHq82+9bRrw99rvy4dNWbcjfr4X383ueFr7IrCtK7iMnqpc02By1cFEJsYbFklcitqBnFZTkZEULjWK69h+p6RHVBs5D4728qGka18q+v/+s8nWvzkYp069GTtc9CeartvS3Xs0lYHH32Aeh5/sA46ah+13r+JGrWto2ZWHvc7sJ3OHn6KHll8n7765t8qLM5OlKe8DBUVJ4viUcxK2TK+wgkO4fpuuDcHGK7e9gKmQ3McihOt+AxK7CZhWa+Mcs/3XJGpjPJzfhbT0yBar7zyyrpvtxS+O6K1IdFi59K8/MKwc+nKjNV68bXnNPj0E7RHy9pq2nYX9ey9j0ZcPkjjb71EM+6+WlPvvFQTZ12osTOG66rRp2rw0B7a60AjWa1rq9th++umsdfrz++/o2UrloUpiaz/4qwuZLHL4y1JtLh6npIntEf8Zso7ijBr12m7IALMvsAeeeTuYJffPCd8gHbD2474N/fY5Zs4TJuCTfGPe557GLEL/LuNwd3fGLCHu+42zzx8btyu33vYsE/46Fglnd9//69hcKNp0yY64oheWrx4seV7jqUx66s4DmaNlbssLV32pe6bd7f6D+hjZKqx6jfaVW3aNVHPIw7UgEG9dGy/LjqgS0u1bGOkq3VdHXZEZ116xXA9/uQCff3Nf0xOZJp77LCdHfytCGdvWZ6XcbXwV7Oc2Bg8DQlHTLTYhAuihTxJ9x2oSVOjI1pUqJdeeimM5NBrAUlh6J53cSHyguO/tyTw0wu2VyDglYsMgxihKEK22NyD0SyGu1lEyhSuESNGhOlbEKmxY8eGTT84gI9hec7O6tWrl8aPHx+mTTKtC3cReLgN8Iv0AOnCuBW/PmC4elmjrtDIMJJFOaPRo5OCzgnKGooCZ2KgaLA2CwWCusX0D3bzZPtWjg+AkEG2GAVjNIwG1acg1nT5wn1vILweefmmF5p1jn7wN0TLz9Tz+ud10N1wecAziBbrCX5ua7RQPMsqrAEO5xUZkBtBdpSqoKhYObl5+nrZN5r38DydfMYgtdm7pRq0qquOB7XWYcd3VZ8hh+uEM49Uv1MP1aG999I+B7dQq0711bTN7jrg4L105TWX6I23/2iNWbblIQuOk80JOPS0tNwUlm8hV5a33xaaIrd1ROuXD8q8t4N+j9JJvkIQuK5XytZWmKJVWq6sbBatZ5qivkbPvfK8Lr7qQrXcs4kamvLd5ai9Nfi8vrrwhjN1yZizNWLUaTr5on46dkh3dT68vRq02EltOjXSWeedoqefX6Llq74O04nWZKw0dzOCYgbR4mBjdiGENHjYCIfX080FxuPl8gO5wRpnpg6yPnrmzJmBaGGHb2L/MfEzZI+fJYT8ZNSfWSbIF/dzSyAJj+VVmNqbYK3lZYWlY5mFhWleTD0uKCxSlinCX3z9me6YO0vHDzhGzU25bdCslhHmFuozoJtOO7u3Tj+3twadfrh6DzhQh/TqoHb71Ffbjg11+FEH69obrtTLr76glatWGMi/7IBc02HiDl3aGqZyQ7TQzdjZ8ft2HYzvNxWeJ+QXbjvZ4zf+oQi3atUqbBKGboWu5Xkftwmui3l7wm86nfjt77jyLv42Ncz8xm+Hv+fq7/iOMJJegPYTt3nmbSn+uF985/7FbvPbwxI/S7XjcP/j8PPbw+iIn3ElHJ4268JoZenP776rYUPPVJM9GumIXj21aNGCQK4gRIw+5bFhTtYqPff8Uzp7+Jlq26m59mhRR117dNTpZ/fTVTecrbGTL9LoyRdo5DWn6pwLT1CXHm21R8ud1W7PxjrvgtP13AtPWDlbquwckxPZWeavtUmlpt9z2HGJxYkDjU1GEc7UeNQEPF1JCzbSuf7663+dRMsTlMhSSBntYeieUSDvUaJgeMFKh3SJUBPAL8JJWCjcgLDFldpHGSBajDKgCNPzwiGILVua0mQCnB4Zdu9BaHEgKyMPnGKP0ktvGlMO2dYeN1B8qQyxH9x7hU0Xzq349YG8xpD3lD8vZzQ0kHF252SnS8oVU1WpQzREjHZ5+aGsYhfSwZRUDn9kiiplkAaMjTJ4T6OK8I0FdHUDd4kH916fPIxcUZiYasui5+8jWoCwYnAPNxgJ5miF1AOL3Y6npxue1TQsJVXGzmFGtErWWkNcYfKizBpnI0BF5XZfWqCcwlytNKX1b//6m+Y+OFenDjtFbfdpo7pNd1PDVvXVpF1jNWpVTw3tdyND3Xq11LpNU/U7/liNnzhWb771msmNlUHRZYcopnGh6JqkNVh6B9BTjgKXKOHpwroVvwSQd+RhCkL+Vub1OrJFXba2KxD9cuUV5OurpV/rky8+0Yw7puvAnvuqTvPt1fGQJjp1ZG/dOOtCTXngak02THnwGt1y7+W6ato5GjLyWO3ZrbHqt9pB7fdvpouvPF8vvPKcPv/yCyNaGVptYLoqZS8QBCvnjKayWYapNUbwDYEEpovPDwMGGUBddvlBe8vIC+uzIFpTpkwJylIsx1yuxYbntK0QLT9LiENb6aTCD/92S4CwJYjy1PI61j0Ia1DqLR8zszL0r39/rHvuvVsnnnS8WrdrqoZ77KrdG+6gRk12Vsu29dSidT01blZbTVvUVYc9W2jgoOM0bfokkxevWxvBtHHO8cwwuc9sBs5hTA62R5YSFtoa1qygs9BhzBQ+iA9pnq6dWB+HHyZf3PAdbru+QzhYdoEijJ7EzIyFCxeGMHq6eNvhV2/3eE+aoUvRbvJNrEfxrcN/e5z8GW5yH8cLuN+0mQA/0NtwnzaUdoxZIh4u4O66m7jh7sT+A+zEYXQ3UsPt8LA68Jf4ery5EkbqCfWCTogA0xOef/ZpnXLyQCNaDdTr8O56YN5cffnFp1q+YqnZWa6vl36lj/7xoa65/irt07ljmHbapWd7jbhioG6751rNmX+9Zs+/WvOfGafZD4/S7AdG6ayL+2m/bs1Vr8l22nO/lrr6ukv0l/feDqNauSYnivI527E4HD/BIfps0hOIFrukWvxJq9Qyku7Zj4WnM/nlRIvZZ79KouWRpWIwgkWPEkSLHiUEHYWFQhQnMPeOOPJbAh7muHB7ASfDKMhkEBnHb6ZkQbYYbodI0UvP2i02u2B6E8PgxJVMZhoXoxO+5saFBcAtgF/4ny5sW/HrBHnO1esK5YGywXMEOqNZjIpCShgZpVGk/Lk97LigRfDTaFHWGD2F/LMukh5Lhs+xiz2+9bLmJjVcPxZeh7j3euQNCIDwcaYeU2mJE9NqmWrrYfJvHLjn4cMdRrQgWt+3vbsbntU0LMYJ0TKlk38l31p9XmvgaiisKFRuiTXUeWu0Mnul/vnZP7Xk6SW6bvR16neSNVhd9lXrjq3Vsl0Lddqrgw455GCL23G69tqrTelYoH/88yOTPdkWf3oqGc1K1sskIwqJwhamJK37veVl51ZUJ8i/JF/XwUl0WpD3ZSosLtCqNav06Zef6+kXn9Kp5wxWsz3rq3VnIxdndNUVk8/QpAcu1dSHLtekhy7VlAWXacL8SzV67oW6ZPypGnT+4drvsBZGtnYyJaqjxky8WR99/HdlZucoIzM5FqKoCAXYyt63DlMwGWmzMIL08fnhQIZQl5EByAbkBiPh7DjIqBY7ENLh6bImruux4TdtayrRQq7itn+zJUB8HPFzl/vIcX/GPYo9HWp0tj3wwP26/IqR6n/CMTr4kH3VrkOzsFamY6eWOrTHQTrt9EG6ftRVJi8eNhn5gSnQK4KekW15x3RS1uqwpo71e0WmAOMf4SBdnWihmyGPfeqg50EcVkdVz9PB7WK4x23iR/tFGFn3zkwfZmKgCDM7g7KG/9gFhDf1nvfeTmIftwC/cRs75LHboxzwzNsZnnscAc8A9/5NUuaLAtmiDUV/8852dEHeYdfDxrd8xz3+8d71O+LsYcU90h63IG24BXwTNfLdlw6QPrTr5MvHH38cOutp9/785z+HJSps9MLAhYOy/dRTT4UO2UULHtYtN9+oI3oeqj0a19NBB+6ra6+5XA/Nv08PPfyApfXduue+uRo/8RZ1O6yrGjStbXW/jc68oK8mzR6peY+z+cq1uu2hkZr7+DW6Y9E1uv3hazRm5gideVEftd23gXat/3v16HWQ7pt3p8mJVeGA9IK8fJUUWHkut/aYdZxlls6QrS1MtEh/8s2JFmsAOV6GNE/3HahJU+1EiwB7ZClkTHFC0FGZmUL4zDPPhOcUShLYDd/x2xEnQE3CDfex/4TfKyCVh0rCmhl6grhH6UX5Y1dBMnDq1KmhEZg8eXJYsEuB5z3foOR6xXNhwdV/40dquLbi1w3KF1cMdYHyQTkBCFmmyEDcERKchYGQRWBTXrBDw+LliueUSwQzU1eZrspo64UXXhgEMkKe77BHmcNvN6nh2hx4vSU+Dso2/tHA0AD07NkzEC2mOzJK5bLA65rbxy0PH/WFusTo3vdNHXTDs5oGRKv8W4unodwUX2BNbSXKVFJRrPySPGXmWqOaY41q1gp9uewLvffhX/T4049p9t23a+LU8ZoweZxuvW1GUKqeeeYpI6AfWuOLwpScT+LnIiUbEiA3E3IF/PdWovVrAPlHPkawcpQOrPFhKhpT+QqK8rVs5TJ98sW/NfPOGdqrawfVb11LXXt30PBRAzThvpGaBrmaN0LjHhihiQ9fZETrIk18cKTG3DlC108/R4PO7aUWe9fV7k1racjQwXrtzde0cvUqUzCzlGfyo9D8KC0rCgQLgldhBK+csmf/LOQW1uqB133kAPWeTiQ6aHbeeecwokXnJm0v713eeH1PvSJb0hEt5A3vtxQIpyN+TlwJC7KZe4BMR6lHGUcp/Oyz/+idd17Xk08t1P0P3KHpMyZo4qTRunXmJM1/6B698urz+ujvf7U24ytLq0yT8UmbACBXiT+kBdP2En0Df2KixdR05DFrpkjzOLzpwv198PTHn/g3bjvpwH/OJ0VfogONWRhMi4dkYIfwE1bykN+0d/Eok7d9wNtD3jnh4hnge29X4vbIf+MHcJ3M/SIPaFMhOOh4LPtgTTFrnyE+tLXodpRFfnOPYk8a0q5Bhv70pz+tI0QMMKD7svPfggULQicoU2JZf8iMJ/RHdtdEh+TcOI4/IU9ow9kC/5xzzgkzVjgeiIELZrgwq4pZYtwD7lnW0vvYY3XUEb10SNcD1bZ1C9XdbWftXncXdWjfSt27d7E2uLu6H9rViHo3dT5oX9WuX0t1G+2ovicdohsnna+7FtyoB58arbsevUJ3LrlEdz1+ie5YfLmm3X+hbn/oGk2YfYn6ndJNjVvtrOZt6unyqy7Uvz/9p+UFB+cXqazYylip1eMSK9+FRnqZSlhZvtOVpR9avjYG3MIfyoWv0UKHYvCDNP/VEC2MV04KMtOXKCDMA2ZTDM7VSoRAUqHdeGT92zgBahKx4bf77wWDOFBZCTOVz4UgVyq29z5R4RAcVDh6KKjsfEelBXzvFdorNe+5xo3GVvz3wA3lwHu8KE9s/49wpc7QCEHcmQ6A0kGZozFw0JjwDe9pGBDoCF2+5VgFNmWhrFLGsO8ND6a665q7Rfmm3nD1sk0doO4z4sZmGKxjhDxR/rEb23eBjHH3aLwgWt+3GYYbntU8TEagcKLwViq/ydXiYFfWbnFQaHZuhlasWablq0w2ZKxQZo4Rr8yV+maFyYwvP9UXX30WiBVbt4MiU2qZqgXRAvGUQVfAuYd4OflKnqcL41b8ckD9qSRYDitH6QDhqWBUycpacWmRlq9ZoY/+/ZGuGXO1Grerr6Z7766+Z3bTNdOHacYjV2jqgos0+t5huuXBczXh4fM17sHh4ViBKUa2ptx/mS4bPUQHH2MErflO6nXsoXpgwTx98eXnyg67XKK00lnDOkDWB9I+WvkzVBDmaqpv1OG43aXeIxORG0yJhmhdddVVQYFyGcF3Xt/duHvIulSixa6suO12tgQIpyN+7nFF5rmegIymLXBCwbRNNhrIzF6mVWs4MNZ0jKWfauWqr5SZtTLsGAc4Xy+cn2b2XfdgJIsNS8o5Y60IfSPRP/AvJlqkDbvaQiJImzgf4nQGcfpWBbfj37rBbdor4kZ7xWgNU0Fp45gJxO6SjOoQRuyiM8XtnLeP3tbxnDaR9g0FGnDPO28rHTzjHd9z9W8YSYI0QZaIP7MsOKuSckNZGTduXNiMCtIDKYQc3X777YEU8W7ChAm64YYbwu7SKPWXXXZZOIKFI334DmJEe0ybxUADs1TobGQWFLtRE3faNcA9G1sxlZLNrdgtkGmdDFIwS4W1RrSdLEuhs5Jn2MEuoHOVb+mgbd5kD7Vs2kRN92ioervvGohW40a7q1mzhtqjSX013qOe9mhqbjbYRTvs+ju17FBPZ1/UXzPmXq17Fo3SnQuv0G0mJ+Y+NVJ3P3mR7nrM5MR952j2gis1+6HrdeXoM9WlV3s1bLmL+p5wpJ5+dokKi/Isz638WLkrKihWqZGsEo47KUva9NSy5Ej37MfCy+5/FdEiwihE7JBGgWA6EzufUEGoTNiJjUe4OhP+h8DD7WEHCCXCSsZRWRFQTrSozDyLK7T3pDixQugRX34DJ1cAd12oVFUIt+LXC/IbQ5nw8kG5YrotSgGClUXC9I55Y0FjTNmhTFG2AN9QJmmIOF6AXjGELUKbe+be4wflkivlDUPZTheuHwuvN3HZxg+eE84nn3wyEC2UJnrqaNDcTqr9uC4Q3p8t0bKGpZwNAoLya/U49PhDtujxL1FRCWsuVmmNEaus7NWBdOXmWz4WZAfkG7yBokcQwsXZJkwZ9BEt3uEXCi7gfivR+jUiydsNUEmsUhHKl5U1UGr5v8qU8bfff1vnjBymhm12U8duTXXapcfqlrkX6PYlV2rqIxdo7ANnauIj52jSwnM19sGhGj//XE1fcLGmPXCJbr71XPU++SA1ar2TOu3XSjfdcr3+/ekngcT5qGqyTotOmkSJRoE3ncp+VU998zbQ212AzGJEgXWq7DqIIotiHNvH8NuNyw5k3S+FaLlO4XoD8j3RG4ARp5LccM4Zh0rnF7AbJFvw59nvnCBf2OQg2Ulu/ZrcxC3kKmmZdHwjY7niH2tWnGjR8eVrZgmnh83T2MOMieOQDm7Hv3WD2+Qn4UPhpa2aNm1aIFlMH2QkB6JDRzWzOiA/tF3YoxOb0SXyk5Ehjg1ixIh2gCujRmwORVnhPC6m0bMmmGmngGmJkCRmiuAnpAmixDpoJ0hsaoauetppp4WdfRkhIly0VxAeXxbCNEfaVwgQBIcryvwuu+yiWrVqaccddwxTXcFOO+0UnvEO8A7wzJ9Ttt0t3IVwsVxg//33D34x7Q1ihi7Qo0ePsPEVYYPIsVkW59PSMcsmWJxLxjTQG68fpZEXjNCRvQ5T+3at1LXLARo29FRdffUluubaS3XlVSM1+NQBat+phWrX306dD2mjq8ecpbsfuVFzF16tmQ+ep+kPnqk7nxyuO546V3OfvlCzFo3QrEdG2rsrNOWuy9Vn0EFq0GJH7X1QW02YMjq0bUxvJ+8h9hXIByt3VZUlR7pnPxZedqn7DH7EUwcpA786ouUJS681w55sEEEPO9MAEABU+LgSpov4lgLhiOFhB/xGEKLg+nxa7y1JepySbVNdkUXA8Z53PPe48t7tIUgROt6Y+D1+pQvfVvz64OWKK/kPKBs0gCgDCFYEBL1g9Mw4eQdOsih7XhZ5TpmDjNGZwTbqdG7Qu0bjRPn1MolfGK7VXeaoM8TD4wR4RnjZCZHOFnrkCBeNJHWD99jze4eHjXRi6uTPj2gRX4sfRIvRBUMYZTCgDLOmhfOuIFh5BVkqKU1O3y8szjMClqfSssKAkpJk/RUKLSSLXd4gWYxucc9zRrScaAGfNgi451m68G3FLwnk4Q8jWmzCUrq2LKwDfPqVZ9TvlD5q0HZX7dOzhYaPOkGT5l2k25ZcpmmLz9f4BUM1afFZmrh4qMbMP82I1xma9OC5mnL/CE286yINHn64WnSqrYbNd9FZ552uT/7zT5WUMXWLzkK2dy8OZY2w+llaa60KUgvtUXi+OXB5CLhHBiDrUKCRhYxo0UGD4u32sYOJ3eEZV+QQU7dOOeWUdUQLBR05E9uvaXicQPyccCL3CGdCqtbLdpfTxcWmM5jMKK9AVpjcMIIFSkp5ZkTKZApki11JkRmMPPItbjogWsl2/Em64i7tBIonyjxpS7pCtFwvS0Uc7u+D54fLcP+N28SPtgj/me0EwWN7eUZnIBAQBp4BtiaH+AB0SEgF08ZZ50uHHfkKIWIKXZgyZ/mLG7QxjBqxwQbECDLJjrWso2daPYQGfRTyxLRJ4g+ZghRtv/32gdBDhnjHukDu2YQJYgQp4rmTK9pY3GJDNIgYCj07UTNyRTvFGn7Cyawu4kM6Q4QgAL5TNcRv1qxZYeYKy1A4BuXhhx8O7Th7ATDlnimHLEdBN2CDOYgloG2nI5b1fHRc0i6G3395T2+8+pruv/ceTZ0yUfMfvE/vvfe2Pvnkb/rgb3/SW++8oukzJ+qALp1Uu8G2Our4zppw28W6ZxEbYFykmQ+crTmPnqU7njxTs588Q3MeP0tzn7pQsxddqFvnj9SdC2/QkPOPUrOOtdWiY31dePm5WrZqqXKsDJabbChjXZaVuZJi2nXa80SvTleWfmj52hjwA1DuIVpMNSaffnWbYWC8MnOFaMG4KYywcaYyIQhcqUoX4Z8CLlAcnmHEgUxDOAAXgHGvE3HhN+/8OVe+552nB/fA08b9cFRngduKnz+8nHkZgzAxDRWhSsNAQ3DuueeG6aiUKcqNN1QQL4gTRIuGmWeQNMoX6yJpdPiehoh1CdgF+IN/GMpodZc54oMfXqa9nHvPNA0h6y1oOGloY7sgThMPG/f0dJImPzeitbbCFM+gfEJ4EiS9/sTFiKYpp0y5Ki01mWfX0DttKDMFdm2FyQYjUMVGpBgtgDT5hheQK0a1GElg1CpRcBPlOyFVuE8aJc+3Eq1fA5J83QApBMtJFoDUsxFLsRH9jIJMPfbC4zq0TzfVb1NLnY9pq4vGDNKE+0Zo6iMjNGXROZrwyBka98gQ3bLgFI15+BSNm3+6xt9/pqY+OEIz5l2qEdecoH26NQ2K13EnHqO/f/yBCosZNV8/spqUOdpI6pyVOquCgWwFpIvTpoN6z9VlAKBN5VxKFHGIFsoq62CwgzzEDiYJU1IHeMY938ZEC+UXGYSMjP2taXjYPHwOwum6hMcXeYicdnkP0WLEG0JVUkrnjOWDkeu1ludckS2FhegmTCn3s842lKMO95N72o37779/A6Ll5xr691WFe1Ph33n+uG4EGL1jSiibhkFkyFvyGBAe2i5mdDBFjulykBvIDO8gP5AiJ0s8gyj5qBGAFPmoEu981Ag3IFuQLogR0/dQwunYhCDRPtG5CXljyh/2aa/wH9LEFEK2wmemCCSJ9VWss7rrrruCIs8oGu03hJ6jBCi7tMes8frLX/4SZmYwMkdnAcevMHLH9MWwU6ABIsD0RtpyyChXRmF4zpXf3sFKGgLs8Qzw7YrlK5S5ao2yVq/R0q+/0meffqKvv/pMGWuW2feGrOVh+umsOVPVaZ8W2nn332jAkB6aPNsI1IKrNOvB8zXrISNWT56rOU+epjlPDdGsx07XnU+dp9sfZVTrYt295AZdfMNg7dWtmRq1rq0zhp+if376D2XlZanYSFYpZ2hVsLkLs1vQAZLymK4s/djylQ7uB3UcvcmJFgcWM1WWNE73HahJUyNEy4UHkYVlQ7Rg/vQwMIyLMOFdXKFTI5qaCD8VCBuCifAC4kX8/Bn3iUBMRqqw78/4HnseR0CcHfyO/fH7rfjvgZcDiAhCAOFLTxbT/mgY6PniGe8pUz6yRdmDYPGbsudCGbeYSkGjQJ2jsWDdFo2bu4EdjJOcdOH6McDgNmHz8swV4D+9cRBAGsGhQ4cGJYgweR1x+/yOn3GPEuBE6+eyGUYAWzab8imUYpRQU0bD70oyVMH0PiNOEK4YPHdApHwNlq/H4hmky6cGcnXlG7cT90mjrUTr14OkzGyAiGClEi1Qagp3YXmxcopz9Mxrz6jrUZ3VoO3OOrT/3rp0wqm65Z7hmvjg2Zq86CxNWHi6xjw0KGDc4tM0efEwTZ5/lm5dcKGmz7tEV4wZooOPbKcda/9Gh/U6RO//7V0VmJIP4adcOrFHaUoOIVWYOmgiJNynj9Omw2VR3D7Spr7xxhtB0eXQYqZ1IQt4hyzDHobf8ff8jokWytbPkWgh27jGeoXrTtxDnOikKa8w/SKQrUqiZQSbqcll5YmscJmRHI78XaU2ThvcRVFn5AQFlLRh2lkq0fJvHeni8H1ww3e47XoSHYN0AHK2KiTYiRObYkB4mP10xBFHhJErRqcgQJCygw8+ONiHQEGYmBZK/rIWiuuZZ54Z9E3iA3m86KKLwggS5IgRJNZWsRaMKYSstWI6ISN7ECSmGzLtkJEjwkY7zBQ92mGm9DHqBFEinZjSyIgJRIn22Wc7QXRIW+/YBMSV9s/13jgdPP89X4CnMdekDKyfEQXcHcqLv8N973AFZcX2PN9Iel6+io2AF+RnKTdntbW3GSouydHylV9o5u2T1GGvpka0/lcnnX6Yxt16vu565Erd8+hlumPhcN2xZKhuf+xk3fmskaxnhuqOp4ZrzmMjdPuikZo5/3Jdcctp6tyrrXZruoNOOu14vfHnN5RbbGTfwl1YYm1ZCYSLeFEetzzRIm+YjupEixFDSG2670BNmhob0aIQAUa0mPtKJeIMHXpRKCxeoDyRMfF9nAA/B3hFIE5kIvc883cu9D1O8bvYHRDHu6aRmpbp/N0UE9vfkuH/NSMuQwhKX+iLMsA8bQQE55sg0Kkz2OXqPZ4ueHEH4UqPFs+ZTgAZYUoGRItGA2EMvJwCfqcrnz8WGNwjPPFznhE+4gXRooeQqRT09BFe7FOeMF62HHxLnaPDBvIJ0YJE8tvt4AfX2MT+1yQgWOvgpMuu/uzbCotbmSlAEb5FIQLcM0pgQFECKLQxwUoU2w2JVtVIH8aagKc7SDXp7KTC31VlUu3/d4A0ScnTSnKVnmhZe2REK7+0UHmleXrp7ZfVo88hatyhjnqeuL8uGz9EN90xTGPvPVMTFwzVhEdOM5I1WBMfPV2THh+qWx4+TePnnanp8y/QzAcv19XjzlCP3ntqp922UZduB+nNd/4YRrSSjTCQM8gOyiThtDyyfAojWlb1QPo4JXmc7nk6UN9xH5ngxIORb2TZNttsExRrprjx3O06XPb4O2QLIwmsZUGWshkX05eRe+n8jt0C6exUJ9wfwuqKM/dxPEjzJN3ROVDM6ZCxchC21udqcsZKQqq7uBHHwf0CuIs8ZnYRU8wZRWIqtxOt2G7s7g+BG/+NW8TR9UI62BjZQRGGMEGe+vbtG0gQmxawMx/narHUBDD6BQliXRXTASFmzJDiOR14TKNj9Ij8RufEbeC7BLLxBlPwGeVgww3fSh3F20eKUsGoE0QNosUmE4SHcHvb6/nFNTWt+O15mS4v4uf+LrYT2yO/8CNOP/cbO9wTHg9baNeN4JQWmt1Ca/Ot7pYU5xnZYlfKLCNAuVq6/HNNnzle+xzQWrV2/636DuyiW2acp/sfu14PPHG17lx0XiBadzw+RPe/dI7uef5s3fnkufZshO5cckXomLl64lB1PbqTdm28vU4Y0k8vvf6icoryVGpyrIgNWMqsrDG9OMiH9fGMTRzf6oD7QxqRx2xSQtli5BZS/ashWgTYM5+CwZQfFugxL5ZKzRxUCkRqIcPE9x75nwsI23rhl8DD+2tHbPgd59tW/HhQPzwdEY4QKHrDmIPtPY0QEogW9YkeK+8l4z4e0fKpA060aLR86qCPaGEPAeTlN/a/uuD1wssKIOyEDSWHnkmmdtCTSU+1N1huNy5bXL0RYSdGGjuIFr2XrNlyGeLfxsaf1TScUAVyVRVMUXJ8C7mqRPiNEmUkyokWhCohWeuJlo9afT9+2jrpebep4JuqTKrb/x0gTVLyNCJYMRjVYFdLRrTySwqUUZClV//0qo456Sg1arebuh+/j0becqpumD3UiNZQTVs8XNMfO1fjjWyNf+R0I1vDdMtDZ2jMPadrwj3n6rYHr9Tlo4eo21EdVafBdurR6xC9/ac3wpoL6l+i3DHakSiVFgj+r4OvAUqNk5vU5+mAcfnh8onndKq0atUqjGixtTUKNHLB/YuvPOdbZIMTLWSNEy1GK5CD2PXvHP4s3buaBGHdOJLOlmRq8voR7Bjp3E2FpwtX2g1GcOj8ZrSQKeroat4mbE46uPHf7g7+Uo4oT7RdjACxpTtT+OiIR08kDLR3EJ0wDa6SCDFjg99sqHTUUUeFdVSMUEKiUKiJD9/QNnobR1kgPlzjchEjjiO/3T5hxG86OlHUmUII+XOSBXDPv4/d2hR42sRwEz/DrocV/xz89vf8Js7evhP+tayLKrY0KLb4MCpaYu1/Ua4Kw+ZL2Vq56mvNvXeWDuy6p3as/Vv17L2vxt16oR5++hbNf2qU5jwyQrcvHKp7nz1HD7x8vuY+e67uevJ8zV58oe6z97fNv1pXjD1DnXu1M6K1nU48/Xi9/u7rysjLVrGV0WILV4kV09JyS9dK2eDxjk0c1+oCaUM6QKRvvvnmXzfR8oLBfGoKK1tPMheW4Tt6U3ifmvhxhP3+5wBMHCcv6Dxzk+67nyvcpHtXFWKT7v1W/DB4eeKeK4KBxoKGgt45FvTSALLTEHO7EaI0Nrz3hsB/+3cAe/TwQWjoKWQtFO5hJ24gQBDIlfWvuuB1g3t3G38gWuwW5Wu06GV2osU3/r3XK//e40oaQLT+53/+J/RqQ7R4H4ffjf/eEpApx2nJVQyL3zqiFchWcvXfaw2QKydaKFU/nGSB6s3LjcGN5wH55nkX50v8O937qkzs138PSJOUPE1DskBZuZGfskKVGdEqMKK1Kmt1mLozeNhJatimjjof0V4X3XSKbpp9jibMO0+zHr9EMx+/SOPmn6lbHj5TM564ULc+frEmPXC+Jt17gWbNv1YXXTdY+3Rrod0a7aABg47TPz7+SJnZWaaYpSFa5FGE6iZalBXqPobpWoxmo1wzUs/ISyy7Yn9dtvE9SjGjYUw3RNlCQYdoIU/4JjW8/iz1+U8NwgPZSuRBUs8txTdAuu9SQZp5+pAGbLTAcg7aGda+kc5bgmiRL+iAtF+MXtGpCJG54oorwnQv7Lh9wkmbRri4Z90TUwhZ00V+OinjG8gbdohnOnjcXVa5PPJ73jnRwk8IHudZMaIFEWQEED+805JvPH7u1qbC0yZGbPyZ24/D6P664Z7nHkfsi8OCS+27EotzWanBSFgxYWczlVxl56zRq398QUce00M777adOndvq+vHGal67BY9/Mxo3fnISN06f5jue/YC3f30uZr96Lmas/gC3fbQRXrg6TG6/aEbdPblA9S+c2PV2WMHnXr2YH34yYfKyDV5Yf4VWThKKtaG9VrlUdpUFc/qBOlDeUg3ogX5SvcNqElT7UQrTlCuDL+yIA2lj4WHzItF6aJAYCcuNHFkuf+5wMPjcYvjuDETu7GlEJuqnsfG38fx8koN4uepbvnvrfjhIG3deOPjhIn1R0zl8MW+zA1nygONCA0BQh6Bj10aLJ7jBvcsjsU+ux9R39i6Fvdw34FAjvM2Xfh+LNzd+J66TtjiqYNOtOIGy7/xe8C3xI+dlOis+b//9/8GokXPZ2r4MfG3WwLJ3KmNw0/Grxo0ngm5ignWDyNZoHryclOM2yX9U8tSbNxOKvz77zNu778DpEtKnqYhWYARLdbosONlUUmRsvNz9OHHf9OVoy5Tqz2bqF3nJjrtoj664dZzNG3+JZqx6BJNnD9c4x44WzOWjNScp6/WbY9dqekPX6aZD11jROsGDb34eLXoVE8NmtTRBSNHaOnypcrnAFyro8iX9UQL2WXhDX8TVBfR8rLElbqPoa6z3TU7wiE/IAQuw+Jvufq3AFnn53iibNF5xYgI8gS33S934+cMD6uHN9Wk2k8F3zmJIO7kJ9PuWA/F1EF29GPKXXUQLZAaJtxxf8kX2i70QNbs0wEPmWGaHspxHFfCA/iWK7M1mKUB0WL9Flv9Q9hoR2g/cR97fnUQb4+75737E1/dLu4xggbRIn2YukpYCbf7wzceT76N41sVPF7p3qUz/s6/i7934+89HsFwgWyF9sXqSnlJIFpFhRwTYISrKC+c4XjueWercfN6atmhvk4b3kfT7rxSDzw+JkwhvH3BRZr7+EjNXnSebn1wuJGrkbrtgUs178kJmnHPdep/Wk81arOr9mhdT5dcfbG+XPGV1uRmKr+4SEVGtootnQtLLd3tmi7cGI9fdQGDP+SPEy1GsyFac+bM+fUQLQLsCUrGMy+WRYicR8AQMYsQqRgUZreTLpI8+7nATVXP0xnee+Hy9NgSiM2mPN8YPOxegbdkPH7tiA1C3UkQjQ+dE+xk5FMq2GWPXYyYaoGgpwcP4kKDgdLAPd+yvovGEpLGRhgQLQ6EZH469vDHlQzPy+rMV4yXFX67P1xpnJjCyDa8bO/OwmWIFgLRv+Uaf++/nWjR6wnR4ttUohVf4+9rGumIVSrWEqdKUvVt2EjAwmhXf+5Tg9IRrR9Gtqon3ptiUtPY07260t9Nune/XpBuKXmahmQloFwkvdXU6+LSEn31zVe6b/496tW7u/ZoV1cH9mqnEdedpGnzrtCtC67U5PkXa8bCyzXNMG7ehZowb6Qm3Hepps+7RqOmXKCjTjhYDVrU1t4HdNKUGVO1OiNDJaVs0OLrQiBaKOKVm72Ef5ZH/Koi392kPk8HTNzW+D11HUUJ5RqyBNFyO8C/5erfuWxEbnB4bEy0kJWudMfyJjYepppGHI/vx/rvYhO7VxX4PiYb5CdrnljnRNqwOVF1Ei0Qf88Vf50QOdFiEwo6BQkD0xchToSNcLh98pFn3DtxZnSTbd5Zr0d7iJvYc6LkV9zwe/9NnsfljPBhuHd7+MWIFrOx/HBg9hcg3JQf3IwN7sVxrwqxn6nYmIntpXOD3xuUZSdajIRam8KGTCXFrOFi1C/pPFltRPLW227Vvp33Ue36O6rLYZ10xY1DddfDN2v+k7foPiNb9yy5Wvc/eZ3uWniV4Xrd8fCNmrtwgq4Ze54OMvt1Gu2kzofsp9vnztKqrFXKyDGiVWS6TKnlG34ymhZGYzdMazdxHKoDGPwhf2KixSYrvyqihfGAE1mGdtkG00+/ZjtMet0p8NjxAppq3I2fA36I8W+84Dti92oasYmfxXbigu/v05nYbqp9v9+KzQP1BNBQsEYLQsV0P0Z9/EBJDlTkGXUHYsWIljci3NNoMXLFnHd6CGkY2DGJrWYhYImitH4rYc/L+H5zgYndihs1GqdXXnklhIntdiFLHMxMg+bfcnX7Xt6AN7CQzo0RLVCd8akuxHGKn3t4U4lWOmwa4aq+fNyYSWeP38SFPHdlJY5zquEZ72K4u7H9+NmvH6RBSp6mJVkgKTOlJexiafXasHL1Kv3lg/fCqFbLvZqoWae66nXCfrps7Gma+dB1mrVolCbNuzxgxsPXa9pD12vivVdrzO2X6qSzjla7/ZupefsmOvWMIXrm+Re0chUKLGtqYqKV7HhnWpyFAViY+ZsmD4Gb1OfpgInd8PLENGE2QGCNFsQAQsB799MN917m+A65wdpOdqJDhrKLHeTi50a0CMPG4Fvpm/WA2KRzsyrgltdP8pO2AbKCIsqIVnVNHUz3PVfPE0iRz8hgOh7rxBgxooOQg4mx598RHr4hvLSPtHFMh4d08x2/6bh3kuV56m64v471aZo+jKSN+8mIFkSL7eXZap79BWhn8Qt7sXE3vg+xf6nYVONupMM6t3COzrwwmsXUQYiWEaCCZOojdTo7J19vvvWO1ffT1KBpPTVpU08nnX60xk67RHc/PEb3PzpWs+ZdZaRrnO5dNEZzH7lFs+eNtvdXqP/JR6pJq93VsOnuOv2s0/Tqm68aycpQNscMGKHjoHPO4Cuj/Vq7Pr1T4+nhrU7gD/kTr9FCj0I3gnx5WDw8oKZNjRAtjwSVgylPHMjG1szMs+aengIKPcYLfaqJE+6nxveZVPsef6/UINXOlkBs+O1h8vA5Ur9LRWwvNqn2tmLTQXp6ufA8QTggyCFTCHmUAtZoMe2WxpDeGRaGU6ewg8DkyogVO/ixIxOND9unQ7YQLGxDi5vURffD/cS433HYfiww7pb75Y0bDRfEih0D6SFkQws2/SAO/j3fYNfhbvEtW9Z/H9Hyq9//XJAan+++S5TmjWFLEq1NQbq4uPH3cf67/djwLE6b2E03/vu/A8Q/JU/TkixQmd9BmVqrwvwirVq9RqszM/TY00vU96RjVLfJjtqt2e91SJ+OGnH9QN1024W6efZITZt/g25fPEET5l6nKycM18nn91HzPetrpwbbq3O3AzX11lv1n8+/VkZmninFdAAlivmGRMvKYwBhTPIuzj+Hm9Tn6RDbw1AuKEMQLeQgRIvzjjicFTtebjD+G3BPuUNuoIhDIuh4+jkSrU0F0bRLgJv1776b7umAPeJM3Ekbpg6yRgsSwYhWdRItz4v4e/yGpECy/MoGE0xfZLYCI1q0V4TP3aHcEVZAvhFGtm1nGillgVkRdE7y3uPGFbjfXDcGDycg/g4IHFMHOYMLssU5WZBD3uE+bsf5sCnG/fFvYmyq2aRvmU2RQrRKmdJXkJCs4mKm85dYHAs06467dUjPQ7Vr/Z3VomNDHTugmy4bdaZm3H2tZtx1jeY9Oll3zb9Fs+4ZrZvGj9TgM/upTcem2nX3nXRgt86aMetWffH1l2E9Zx47lBrBKi03ecGGTuEIkvVpnRrW1HhsLtwfygEdzMymo+4zu4clFawBTA0PqGlTI1MHKYQUXioTDJJpUMyx5iwCpjLFRMvtYjzSP1ekmnR2fg7wAhQbnpHWLiTiwkb68wxQQIELGwQdiL9zk+rvVmw6PD+49/Qn3RmtYkSLK40O9YUdO9kEgt36mGbBcQkMg7PtLQs8WUTMInEaK7ZAZtOIq666KowC0VjgFr2I7hcmvhKWOGw/Fhh3i6s3evhBGYIMQrBotNg9jKmEhM3LlaeBg+9wi28hWkyH3NgaLfc3/v1zgMcPuPF3xHH9QveN4ztK+HdQPXH3sG4MnlcuJ+L8wnieA5QglyGxHdxJ4v9dpcyN//7vAPGP89OQlmSBZJ0U/yvK1io3u0Arlq3W6jUZ+viTf2rWnTPUcf/W2rXRtqrXanu12K+OjhjUWRfedIaGXzdEfc48XEed0l2dDmmunRpvq/+t9f+qafsmOvuC4Xr+5deUlWOKcAH18FsVB6LFvROtEvPbw5EQLj+/KTVOblKfp0OqPS9nbH7BuUoQLaYQMkrFey8z/p37j+E7yh2k7KyzztpgRAu9hPfAy6N/58afbQlsisGaww33xDlduqeDpyd1lbRxogWRYNSvpokW/kKWkPlOnNgynVHKPfbYI0zxJK9dXpBP3na5faYKMrsDokVbyJR62jjsEzeu+MO9+51qPDyOOKz+LcDvG264IZQdprtzKDFhiePFFWyqcfupYQBuNvYuNlW9C89MllhAxfEhfr5jKbK4kE0xLJ2K1xpBZQOutXr3vb/r+ptGa5/O+2q7XX+vWvW21b7dmmvAaYfrjPP66qwLB2jI2b016LSjdeDBHbXrbtvpf377/6nhHg10wUUj9Obbb2lNZkYgWgVFhYFclTPFmOMHTEYk7df6NIuNx6G64HlD/qFHjR07Nmz2AtFi2RJnnrmdOB9q2lQ70SKCrpRTUdhOEaWQoTsUQA6MIwGILBHEHvcYj3RVBfGnQroM2di7dMbt1DQIj6dtbHhOviCwSHN+u13PM1eKyDcf3kfYcHVhhyCK47wVPw4Yv5LupDHpSzpTZxiF4p4eGA5UpP5wdghTJhixopcG4oEQYSoeYJMJyBaLipmmRz2jccIteuLiskGec+V3deUnxt3i6nIAP7hnITMkCaLF+V7sjkjYeOd2AGUMeFhJHx/RgnCmG9Fy//1+S8NCkfY5KGd9Vgir/Q6hXB9OTs/3eFrqBXxH2d5kVE8+ElbCtDGwtoy8ooySh6yTACg9/KY8k2+UP5cl3HMAq+dZqj+peYnx3/8dqCLvITSmvARSw7Xy+Voj6OWlpjTnFytzTY6+/mqZKaL/0meff6q//u3Pmr/wXp0y7AQ1a7+76jbbTk061tburXfWrk1rqV7rXbV7y1rart7v9Jta/6MDe+yva0dfq+deeVFffbPcCFuOli5bozUZOSosoG2IiVZpEqZ1o1o1Q7QA5YKzkNianXU5KEysu+JdOt3B73mHPGUGADvqoSyzeQLkwolWapnbEOnyoiq7G8JsfedZGGH4AQjfVGIDdyLDb8JfdRw2BPEl3shW6i7r1SA5jGhBtKprjZb7k5q++EvaIwu4Ig8effTRcCAxm2Gw9ort2vmGzifOFIzPcEOeUBY4gJh2kDaR6Y/IHNdLCD/+4t/GjIcJxPH0MAN0H2aR0NbSycmO2cgyfx/Hc1ONfxv778Bwreq9oyp78XOIViiz3kFnV9ZzlhYbSoyIlLE2fK3J6lLl5Bbp3ff/qvFTJqrHEd1Vv2lt7dZoe+2+xw6q36SW6tTfXnUb7qA27ffQbvV30i61d1Tng/bXzWNu1lvvvK2ly5EXGcrJy1VhcZGVf5Pn0VlvW4po4T75wZU8YVYQs3ycaN16661hKRPvPJ/925o21U60PLIUeMDoFUOu9D5wFsbo0aPD1Kc4ceIIVydS3XYT24nhJt2778OP/a66QXwpRNzHxp+7YPB7BBRXzzOEGeA54J4GywUY9njm7qVL4zgsfr8VG8LTBkM6xgTXFVYaIggS9YVDhxkGp2eXaYSQLZQHGgF6JFn/yHkxjB4zcsT8ZNwEruSSn/jl/seIw7a5cDfjsobfjLCx7gyixRa9L730Uogf77CPvfgbd4c48G26zTBiP2O//fnGsIE9ym0ou+t0nYB1v+kgtBt337/lnXGlQJHssqEb4Rvy1xpwvrVnvPP3697ZzbpwBPD7xyB248eDsAJO9A+n+of4oiiVq6iwSCVFxapgN6kSGu1EznMN5bewIGwHzjMa9iIWRpuyVFxERw0bviQELDWP1qWpNcgARQHEdv474HkZgzobXytBHpVVqKigWDnZjIRnmKxYqmXLlxpJ+kqffvGxnnnhMY26+Qr16X+4Ou7XUk3a7K6mbRuqeftGatauofbrureGDD1F98ybq/f/9p6+XvZNMgVxDecYZZkcylVujpNklHCUJ5S3hGhZCbarhyldfDYdcb2Kn3FuVp8+fYJyzUHudLqE8mWywr9BXqR+h9yAaDElDVmJQo9ijzyM5Qv2NzTmBuQxIpIJKuNaibWWHwnsPvpnT9Y9N4uJcKCyl1u55krlN38TrC/r4R2yoHLTnCBYDEmcCGdVSCkXUTrEiNOKtIFoQT5JG9oOJ1ouf2N4OgX3Ud493ESOOEagXAJkBrKNjibkSJmVVQh7MnUtWfvHFvPkCyNaQ4eeqU8//bd9w8gXHbzZFp5C+01elxrxyQ3TSJnBse22v9eee+4Vvqet9PDRlngbwrOqTGq6xL89zpQTBgZQ1OnkZCo+5Av7MfCP76oysdtbDh4+0sEQ4oSex9XibNlXXv6tEa2CUMdXrFqlv3/8Dy1Y9LAuvvQCdTlkf9VrVFt16tZS3Xq7avd6u6hJs4Y68KD9dO7ws/XAg/P093/8XStXrQw6fqblQb7pLpQf959ymZz95uUzNYzVC88LrpQDwkX+sXMzM+rYH4IRLc83vnET39eEqZE1WhRSV+pYQ8JZCcynZXtmtnpnZxmMRzb1iuFanYgNv92vTQF20yGd3Z8DPGxu/JkLEO4RtD7S4eQKIcJv720CPEP59/zkGd/57597WvxcQZq5IR0RUE5qSW/yAfiIIvPQqTeQKOa1Q6gmT54cTtJn+uDixYsDGUGQUOfII8878gy3XQhhPAw1kX/uppc3gN/0RHOmDWu0OFAZokUYPVz+jd/7b8pjTLQgaxsjWv7sh8NkUoRKvWcdOOWesALCxTcoE+UgzbfBvoH7+F1sJ0G6sPw0QDksRTGyMBGuUlOOAEpSqZGrUlOQyg1lXCt/5+XmWT6yZbCVXcurDGt0V65coazMNUay8gIyM0x5X+XPNtweGZP4b7+tcY6xJRronz+qSgOUpbVGfjnsPN8UppyApO7nKL8wRxmZK/TxJx/qpVee0cOP3K+77rlNM26boKkzxmnm7VM1/+F5evOtN4ygfa3snGxlZWfZN4xOQrLsPiMzyB5vA5L65bAAVGrX3w3bD0dVdZdRDHZehWjRocQhxMhJwsN7lzFun3sMZYzpcGyyQIcUa4E4pBe5ih38cz83NOZOIFqQScd3yZZJpw3gz/i37hl122RAqOhOtNbBiKoDzdefVxItvgsIYXT/UxDqSIz0aQg8rlxJP6ZRshMjRIvOq3jqIDKO9HVZ598GGNGiblqgE3gx4DaptuG+wspmaWm5tT+0aUwDLAgdApTR7GzatgI98shCHXpojzA7Y9iwoUaqmToIqbc2q5Td8awN4+ynImbX5AbSzbT43/52GysLnUK7RzklXBgPMyDMVZl1cakEdj2OxJfvKfMo5yjqO+64Y2hz05Ud7HKtyrgfWxIePsKaimRzlQTkd0FBYeggQ8+AOEGgXnrpBT04/wFNnzHNdIypuv32WZo//0G9+OILRsg/CEuCsA9If9px1zE2DANl8rvhqwl4fLlSDhjRYukFJB6iha7EiBbv/ZstZWqEaBEBEpxIkwnz5s0LRIupPywuZPtqjEcYe55QHnmum4t0xt/hV5zg8fPU3xuDZ2z8zc8Bbrj3cJIn3lhy70QKIEBoUMkvGmqUdR9Z4TnKLt9QmRBACGrPN/fj55gOP1d4WnElT5zccvV70tlJlm9+QZpjn94apllQl/wd9rHrBI185Hvci4lWunBUJ3ATEFYHfnPoMPPwGYGjhzp1jVb8jd/zjvD71MH/83/+T+h9hWil+un3Xu5/KKzdSSFCJscITwhbck/aA8KG4V25KUVuxxG+5R3PzS37H9QSvtoAlX6lC89PgQpT1ErKTVmxe8JVWlau4jBtzNLBFCemDJab8lSQa2SJ3eiK2PWS6YOmCOXTYJvSbwoUPZw5OZxvY+XZGvFMK6MrViwPjR95Tp6St+5vYjyV1mtsW4lWFbDMCb3SZWwYwAhAsaUrI+DsQEonjcnscF6O3edlGtYYMrR6zVL959N/BKxc9Y3Ji8wgI8gTZD0yH/nBM+QH+cUV+eL5lc58J3w/Ai4DUu8/+eSTsIkORIsNtfz8PQ8P9qiPfk/95B4lkjU/rGllVIJpcqxrJT4uY9yPDY2FB5IUyIyTLH477BsDo1YVRjocjPZxLY+eMeWNKZ7xKC0Zl4wKGdisoMzIjV3X2/H0MJhsSZRVD0sKQh2JUXV98fgC0o8RLSdaTOlmRIu04z1p67KO+/XpZDB/1tXTUFe5JGFFRgSEe6Z9V6gwjLjmK2NNtlavygwjr8uXrzZCn2P58ah6Hn6EWrRoqTOHnqm/ffSBPV8dDuMur7AynZ9lZXaFlVN2280NGz9dd931+t3vtlW7du1DpyNtXhI2k6eWr4TX8zedidPE4enCPd8D2lPOfYUE7rDDDkFRp47gdlx+sMt3VZnYny0FD5uHNYa/8/fkMfKYOu+6A/WdK8sPIFXMkCHuPHO4zsE3fO9lx93lmi5sWwLkCXrR1KlTA9HiqBw24uO4qdSwbQlTI0QL4wlOJeCsBHYNosAy7IuCGCcKEefqkcfE7zcH6Yy/8zBW9Tt+Fr+Lf//UBSoVsfFnHlYKnwtPws1vr2BUGCoOlYbdWqhg5B3veE6jxTco7G7f4+3uO+Kw+P1WbAhPK/KARg/BhQJA+ruiw3PSmXdcSXuegTjf/DffOVH2fOM997wnD71RqEl43CgvDvyFaLG7FWsCjj322LBGi7j5+9Rv/DnxqGmilRAka6gNEAwAWYrD4eC3+xfCbIoQ1zgM4Z2hIlwr3bRwoaKkgnfxdz8lCHOZxQ+yVWIki3OUGNFCcSJ9yktNccovUk5WrrIzrVHOpXOg1BT6MuXkFSkrxxrefEa2UJLylWUyZPXqNWHdIY01coUySpn0hhl/E8OVVKrE9yiO/81Yy0hp5WAIU4AYOWDUgJGCVatWm3K01BSN1YFk5eVnGgHONsKcZ/kJIWbb9kwrt5CVZMonMsNJFvXN2wLyiit2KPepJl3YfiziOuT3gE2BqPMQLc7jZLdSD0+67yhX3CPv2DyBXepYAwTRQjHfdKIFTC7ZNS0gU5W7glaFZF1bQogo01z5zokW92XliZ3wHDuVfxldDrJl3WhWRLA2k2jRljz99NM66qijwlR0NilimqXXSeSc6wrc8ywxCKuojgLcR1YawYqnBwa5UFCq3JxCZWbkWnk0mZGFYl5oJD9Lq1Zn6+EFj+qwnkeqYeMmGmhh+PDvHyojK0P5hXmhoyC/IMdkSIaVwwwr21mhY3H06DHabrsd1KZN29CJ70TL40jexjL6+4Dh6vZdztN2suyFmRQQLY4pouPB37sfXDdmYr+2JAhbnB4e3hg8oyxQn7zecw+Q0dR91zm4d/nAb+oR6YGM4JmXHdyMy0y6sNUU3D/8R55Bjjk6gF3PIV0QrTjv/JuaNjWyRsuvgIyhFwkhB9G69NJLw/BvnDhEmqtHvDqxMcN7Dy/Gw+zf+Xt3K37uiL/5OcBNuneEk0JGA0TlcniloecCQQYR5jwLpqrxjDzEHpXJR7n4JnY3FTyvKhxbkYB0Ij9IW4Q6eUDa0nCAWLB5o8c9dlOJL986ueLe8wyBGRO1WAC6SRe2zYGXAcLnwF92C2OrZRp2GngaesLmZTK2H39HnDaFaHlc/LopgFgkI1AW3nCtfLbOjsXFtNnyoHCsJwbrvg+90zwz/4MCgv8Jwl/sVCLMILJnMUxPDiqUubCBuz8lUO44dDIv30h8SakpguSDwZSo4kJTnLKN/JuylJ2VH5Sn1Rl5Wr4iU59/tUL//vwb/eeLpfrimxVatnK1VpjSv3z5qrB2aOnS5WY/GUEhTz3Pk7zzdOO+Et+jOP43I5TZQLRM3SZfihlZtDwxooXyQ2fZ8uVLTRZkhilYCYzclhda/hYbjKisZSdIOmkKQ54gI8gXV7CAP0d2kFexSReuzYHLDe69/vObUQw2tIBosaEWI+HINbfrV79HTnJPmBnRgmgxosWZUZs2okVJTP6ZjeiffQOsXAInNxCksBYFQgUCiUrehQOeA1Hyb02WGNiZjWcVZocRMJ4lz+1ZpU/l3ON+VSQL2PsNUXV98fgSd+res88+u45osQusEy3sYgfZy2+uPPOUCSNawEIWYGURGejrsUpMZjCynYywQuJpkwpDJ0xmZr5Wr8nV10tX61///lKz59yrbt17qUGjpuo/YKD+/s+PlW1twhojVpnZmVYeGZXl+2z7NiPoJ+PGjVetWruoVas2YSdA2krPRw878N/fB0xcFogz31PuGSRgyQu7HLK/AB1GcXvl323MpPq3JeHh8zTx37zDcE9cqCue1x4/4u8doQBZ4HoG75AzdJ4xu4ZnfJ/qFyY1TDUJ9484oEuxAQa8A6LFNEJ0Wt55+PybmjbVTrSIAIH3xEZYM4+WRfxE+OKLL163vgLjicKVZx756sDG3OKdh9GNP+M9hiu/04Ur/u3vU+3Fxp/VNNzEYXHDbyoDoKEib6hIVBS2wX344YfD8CrMn7nJgEP6Xn755UC+6I2Oez09bTwdHbG/cdi24rvwfPI8IT8AaUwDwj1pzTsX7sBJFO/cDs+pSwg9nkGG3R73+OH5E5t04doceJw8rB4uzrTxHcB8q2XiyTvCFwvA+HvCX9VmGMD99bj49ftg+oEpmwmY/hemCUb+J/YsHOVs9sDUiA03cQjhhXwBeqTDFCFTuuw+6dGuVFbseZkpXgHmXqwq+f5tJnXWuftTg+mDnIcCSi1uTB9MeqhLjGgZ2c8vUWEBB0Jm6P0P/qnHn3pJd8ydr8nT52j8tNs1eeaduvO++Xr6hZf10cf/1so1WaY05RlMcS+gHCe7noEkDZN020B5A9+jOP7Xg3Jbvn7qIEQLsOaCOsMoQGFRfihhgVSVJWtefGSrrJy8QEYkPdYABYo6CXADmeGyg7IfG8KwYV3ZPMRuUS4Av+n0gyxBtFB66aBB3vk31LPYDf9NuCFa7MLKGi0nWsQttZ6nGp6sL4nmLnUUWWBIiFUE6j7T/5APPg2wUhZYTOxbS/9vS63uG9ZauTdSVhaIlcsDg11LzH6JfVdi70uw9619F77HnVhqRAh1JEbVeeFpA8hPtkZnN0dmGDA1Ex2A59h1e55OPMMEdyrJpNfX2O1yCz+ylFFwphwXFVvZLCpXTl6JPv9yhd54630tWvKM5tw1X7dMvE1DzhyhTnt3UaMmrXV07/7haIEvvlmq5aaTsNYzNz9Zo0yeoeSzxmbChInaaSd22G0RFGl0kiBHzP847NxvCjAefn67W/iL7sombpS966+/PmxMRRrRrnr5BBszqf5tSXj4Yvg7TydAXIiXy2XueQb4TX0jD0hr9EDXBZmeB5Ab2I3djv3aUsDgL2GhvLCujg5aNtFhTbsfiB2Hb0uYaidanthcySwiy04/KFbMlWS+NIsuiSjG7XpCpRaGzYEnJlfgYaLgeMPCvdv3d9j17/kdf+fgt7ufCncvNv5sSyEOi/tPPIgzAgQlnq3DEa6cZXHjjTfqhBNOCHNZySdIMeeecQAuIwgUUg6c9d4LvvVeEIDbns5xGmxFepBGqWlFOnq55N7teBrzG5DWTr7iMsg97yifuMF77nme6ldNIg6Pg3BR1oYPHx6m8dDxwta8EELsElbs+LexO8SFjTQ4TwyiNWjQoHUyxO0CL+d+/T440WLDijJTWJMdmXDT6j/u4r8pFRAs1hqxzbCXdXbgo+e2pNgUWFNUEyT32Atrkwxsd1tiylcxMLeKUaRMQQHFpkYV27XUYD6mDeNPAaYsEe5SlEb7DTFiWhrnKZUWVygnu9AarKWa/9ASXXDRVTqy94na64AeatSik2o3aq36LTpqr4MO1Qknn64bx07UMy++qs+/XqbsvEJTuArEWq6iokT2AnYnhMymKnB2kzZ8W0HdoH0ylCPXkRHUexRAkPRQMy0QIsCoSlm5pXdZssFAsZGtouJc+418oFwnHTIue6iLLtupD17mva7FJjVcmwv3I6ljicyjF5qzk1B26Wxhi3bkHwZ7AONuEGauxIGpgxAtRrQ4M4qpgz+IaNlNAnPX6kUY+bZyCuh8KSmyNC0sUAk7a1q7WGIoRem08JVbWkJ+yo00lVRY2laU2NXKfCBUFSqycBdaHIvMrUIjZ4VWDwpM1nAtLjdZYt8x2uXnEaWFuf9DiJanF2nL1O1jjjkmrJmFaNERRn10u542wE34bWFaV08r/URmQrLKzG06ZiBaJWXIkTKtWpOjv374ie6dt8jkxdXqdXR/telwoOo37qA69Vppp10babta9dS6/T66/KpRWvzEU0a2lhnRyglka40p8qw7pGwyUjt50mTtsMNO2qNxEyNdE8LIissSj6OXAY9HDI+TA8Pz1G/Qc+gMhGhxhtuVV14Zpp7hD2HBH3dvYyb266eAx8fD6s88zbx+x3UC8Iw6BIkCLhuc9JI+/g53cNdN7I77uaXgYSecrLFDZkC02IEQouXxdPtbwtTYiBaZR+Kj0DvRQsFC0ULhIiEw2OXeI12dmUNYAO575UBAU0DIBMBvL3Dce4GK7VO4/DsvXHFjhPtxIXX/YxOHa0uAcHheYLgnPsQZwcSUQEYJIFDsxsSW234OE4WyQ4cOofeQaQUc1sc9Z20geBgupjfD04C08jRwVGc+/hpBGnma+TPSy8uTPyNtSWPeeT5ix9PZ3eCZl0dPd7+mGnc7tlOdwE3gYfRwMjWFjhaIPESLrXmpT3xD2cSeu+HhxB3ixfouyiDnaKEU4JbH3e36dVOxIdGK8qNSkfCRrIQ4FasgyACm1BUql9GDApMPBnZ9A9wzmsA2t6xPyjUSydkiBRCuUhQos2fKFihca/i2VEUGerCtxqQN408BpkVxun9yFgrpjyykQV5rJKtAf33/n7pt1lwdbQRr5zpNtN3OjbV7k47apWFbbbtrU/2+TjNtt1sT/WHX+mrZYV+ddvYIzV+4RJ9++Y2yjGgVQk6DMpaUWc7WKis1xYURgUqyRTh+aH7+NyGpX9Sz9fXbHtuzRGYkbViCZBe3YrNh6WrK+VoU+PJk6iBELNVdv6c+uKzxOu3v3Pjv6oL7gb/Eg98ot2yiBdGiA5BRBtpjDPYIJ8a/5zdXyhY7Fl5yySVB93CihZKYGqdUw5NUooVdvnOiVVRoukBujgpQOrMNWdkqMBRmGSnIzlOxlfVw/hP1Hhli5bzUyEipuVNk8ia3qFhZ+QXKtrjkWFuaZ7/z0TUs3HTMlJr8KTNUWH4FUpUO6wiWo2o54mnj4MgQJ1oDBgwIRMvbGv/GzXp37F0lyXI/EzJfZmElrqXKt/jk5ptCXliib5Zn6OXX3tHoW6bryGNPUqOmHfT77XbX9js30U67tdKu9dpqx9rN9Js/7KbtdmmoDnsfpMGnDdOCRx83efG1VmZkGtHKMllqyrzJDHbDvHXGbdp5p13UqEEj3XzzzYF8Ud497F5mCW+SXwl451gfnySOPPNvHLRNjJ7S7myzzTZh2QtTFymX6D5ezr7PxG5uKbjhPl28/R0gvUi/RGZsOLAQp4mnUeyOP+M+Nu5fbHdLwcNPJy5b8tNB60SLTpvUcG0JU+1EywNPRCn4zJOEaHFeA8P3TB2iQpMYbp97/646M4cCgNve8DjBIkyQDYDQdTLFO347keLKMzKM55BGh5M03PWKnVoIYxOHq6aBIRxxeAgj8YcgEX8U1fHjx6tLly6BSDG8yha6NGgc8sa0QU5FZzSLM9DIO0gY23M/9dRT66arkU6paZAuLbZiQ3gexb+5+jP/HZs4T2PEhveUea7udqp9f15TcH+8HHiY2NWKKUAoS060XGGiDHmYY8Nv6q8Trf/93/8Nhx0jQ7zMuT2/bmocY6LFFDl3z4kWJKsg38q5lfEiCx+jMauzcqzxz9aqrHwjDWz4wBq5BNzn5bPrXqGyc/OUkZMbkFtoxMvcyjdlN7/MruV2rVgPerrpLU8Xxi0N0g4Fr7CYNT1OMouMCFnjZfj8s6WaZSSrbYcD9Psddtf/3aaOdqnfVnu066L6rQ7QznvsqV2a7KU6zfbSDvWa63e1dle95m014JShemjRY/pmxWpzu1TZOUwJStb+gDA109Jn3ciWhcXzcyvSww23lm3hGpukHiSjg1zDOTqMqFTu6MZOdpR5ry/U0bhOuXH/4nrlxn9XF9wPwkG95zdEi2lbEC0WtjMDg7YZgz3CjfHvXUGkXDHlnQNu2aKbDbkeeuih0H7zHrvuX6rhyYZEy2B2+Q5SETYRYf1QHkQrNxCtvMxs5WeaXpBt+kO2yYw8RgzLg+xgc5hCRhuRNeZwQUmFMnILtSIjx2QJciJf2UZO8um0sfpRYnGgPiR1ouS7BMvBWq+I9PwQosVaNzYliokWctjTBLhZ705IlXXAT4hWuaVJCaNxJRZXOmaMSOZbPD78x6eaNG2OuhxytP5Qq6G23b6B6tRvp9oNOmq3xnurQYvO2q3Rnqq1e2vt3qSDdt69mXas01DHDRisl//4pslbI67mTiHTlu3K1vB3zLlLdevsrob1G2rU9aNCx6/rYuSPx8/jnORZAn7H8QMYtxc/R8dheiWK+u9+97uw7IX1gpQr/MMPvvs+E7u5pRD763FOjbfrbdy78XeeHhuTB7Hxb1L98ndbEuQL4Sb/5syZk5ZouV038X1NmBrZDMMziAh7rwDbOSPs2N6ZczCIWJwZmDjyfr85IBwgJlFOmphXCulA6PKM94zyMAcXIuIEAvCeOakId+LEle+8wrlwwq/UOGFSw1XTiAsS8DAQTuJMYaNXkClYfmo255u99tproceGHiIWfTI9kE0I7r333jCaRYFFST7//PNDOuGek1KPu6d57P9W1BzivHaT7t3GsDGTzv6mAL9TwWGTNFbIAXqX/fBQZIUrR9jj+9hv3tMx0KZNmzB1kCmujIq7Xfcv/ub7EKYC2ScB5m9omNGmUCBMeWB0BYJB+aaOl5SWaemqDC1bnaWc4hKtyCnSqpxiLV9ToBWGjJwSU5TKlGlka3WWPQsKVJ6yTHnKzMtXQZkpZqaMhKlBpjgVGtnKK8k38pUf1mpYTNKGs7oRp1nq86TumtyG/FnYiksY4U+2Yi8pYbpqqd586y86+pgBYSTrd9vX0067t1HT9t3Uap9earX/0WrZubea73eUGnc6RPXbHqC6LffS9vWaqXnH/XXORZfrxdfeUmaupUdY80VDn0wbdILlI1pVhXMrYlDe0yGdXQfpul45/7503tQ6VZVJZ7cqYLz9oM7TvhI+zgbk7CSIFrLDidb6Mrs+Hlz5lnuu8YgWRIvNDWjf/Rv/LtXwZAOSZXboDClfm9SRACuzeblGrkx3KIAomWzIXs3IVoHyMoyE5aIfJGuU8grKlZ1XqkyTE2uyE2TklAa5sSqzQMtWMmpTogKTHyXFVtfyClRmcqfC2tjyUtpXRpgtPb61umJX6mh5RTI9lLBURbQ8jZBvgDabdOEZUwfZ3p1zDem8ojPL0zxG7B5IEofnlSTeYL6EtGGNWb7Jx8zcAn2xdJUeWfKsjj7uZO24axPtVKel9mhxgFp36qH2+x+jvQ/urz27HKf2+x2tdiY/mrfvqjqN2qnWbk1Uu24TXXL5tfrk0y9D51XSiVWkLCOz8+57wEhWI9WrW18jR44M5cP1MOLmII6eBmnjUWmqiituvvLKK+umDqL3sOYPd3EfucjV3Yi//SXglxjmTQHxoqyjo999991hCQy7lTKAgO6b7htQk6bGiRYCkd1t+vXrF4QkIyJvvfVWsOsVwY1nPCZOgB8D3KLiAUiUEyvuuVI5mb/9+uuvhznfHKp855136sEHHwzhZYc0iAaKIBnmWxND0hgJY60SbvIOP4gLiOPgJjVsWxKEx8NAOIk7IwsUuv333z+MZDGdky1ziY+TUeLIbwgX5AtixogXo1+s46LBIu5OtMhrT4PUMGxFzcHLG3CT7t3GsDGTzv6mAL9TwQYWNIzeuwzRoqwhK5xopSs/vKfMOtHq379/IFqxXdx3E39bFZxooUThDuWXdQZhSgyjWUz1K2QnSJMX2TlhGsyqnEItNQXqo8+X69EX3tA9jzytux56UvcseFrzH3tRj7/4ll7900d6/+Mv9clXq/Xlqmwty8xTRkGxocgIWnFYi1FUUaqC0kLlQ2aYwiWrOxvpia5OkE7pnoEk/ROixWYJnMHEGh7kBlMmMzPytOSxZ7VHs47awRSnXeq11R5tu6rdAceqvSlMHboNUIfug9T+kJPU6qA+anHA4Wq5fw/VbtZBtZu01SFH9tXMO+7RZ18tVYEpY0xJLDPFDlIbk62tRGtTQVlPh3R2Y5C2jnTvfziqMunsVgVMUg8TRclHtGirr7766qDs0jHIhhabQrT4njO4mPJVE0Qr7Nhoynhedq5yrJ6DjJU5Wv5NhlYtt2dZpfpmWY7+8ck3euOdj/T4M6/r3vlP6va7H9HcBx7XE8++qbf/8i/985Nl+npptjIy2cDEZE5WvopyC1VucqO8oFBlRXTwVk71NKK19lurL3YfUBmWmGiF8Ft4PT08jUhTiBTpw2+mDrLrIESLES3WwW4S0bIECetXrZ7iJyQLlNnvYpNvTIFcbcTzg48/1ZhJM41AHaDf/KG+GjTbT532P1p7HdjXCNYJRrQGau9uhoMHaK+u/dThgKPVsmM37WZka2cjW4cd0UdPP/eylq/I0JoMOsrzlW8EdNEji9W8aQvtVrtumCFBp2/SGbR+KYdfPQ3SxqPSuJ3U97jJunSIFlMH0ZNowzwtkYv4g0n3/VZseZAP5A/5Qj2HaEGyIFu33HLLr5NocaVXgJ4TlHQUrFNPPVVvvvnmOrtxBOPfcQL8WCBoEciQC4gRRIldaxilQeBCNpjKCAlkehxgShM95vS8c4YChIsRHtyAWHDvv3HTFUXiSvhT4+QmNWw1CTdxeLg60XrppZfCNttMxWJkgbMoIFTkFcSSdOMK2aKwQk45y4SphqyvQTDTuwP5xJ737Liy7OFwv7ei5hCnsZt07zaGTTHpvtsY8DsV9Aai9CAH2GQF8h4TLRqvdOWH9xAthCVEC1nCNBevc243Nu5GVfgu0bI6bEDJ58oGAVlGsFZnZCkrr0grTPn54JOv9aiRqRun36X+w0bqsBOGas9Dj1Pbrsdo38MH6IiTztHQS27SuFnztOTFd/S3z5ZpZV6JMosrtCLb6lNugfItnkXmfkFJoQqNaJUZqWHLZ0+jOIybEo8filQ//BkgHQLRKkNpyVNJcb79Zv0qUyML9eUXyzRl6mxtt1MDbbdzUzVqdaDaG8nq2KW/2h98opGswepw2Klqf9gQtTt0oNp3P06duvdRow4HaocGLdWw1Z664LJr9O5fP1KeyRryvBRlxRTWVLKVLpxbkQrKx+YgnZs/Dt9n0n2TCozXaa7Ue+5RpK+99tqg7DKFnXVWtDtJef0u0eI3hvKVjmjRBvo3/l2q4ckGRMueJFuxW/2oBFPlUO6zmPq3JkfZWUVavTJPX32+Rp/9Z5X+/Jf/aMGSV3TThDt0ytDL1OOYU7Rvt77qdNDR6nL4iRow5CJddcN03fvQM3r9nX/qP5+uUkZGkTLX5CkP4rYyQ7mr1qgoL8fqSDLdE6LFlMGEcEFESaOE8BDKJOSJidMDIF9JE9KVe6YOskaL9pzOK/SiTSFaCcki/ZBbdBKVW3qY21Zvi8pKlVOIvMzVa396T0PPu0Tb12mibWs1VdO2B2u/g4/XfodAsExWHDRQe3U7Wfv1OEX7dDtR+3c/Qfse3EcNm++rOg1aa48WHTVxym36+JPPtWo1ekihigtL9Nijj6tNyzaqU3u3sObXZ9fEJDJuS6qKR2z8WWwPN99+++11RAtdkU2YcBt/8I97TNp02ootDi/r5E9MtOikZXt+Bg3SfQdq0tQI0QJe0CmsbA9OjwnCjoPx6CUgYnHhxKS731z46AwkC7LANEbWHiFgOnbsGDKA0+ZZf8TUOK6+HokNPJhSxzxdBDZEhF1LmDOOmwAS4gTD4+Mm9X5LIDb89vzgnnAyYgXx5dwM5rtDMiFexA3CRHohQCCojGg50YJkMtLXs2dP1a5dOyjKpAX2vTfJCVeqv1tRc4jT2E26dz8WbtK92xg8/2MwgszuYRCtgw8+WIsWLQrlxxsulxmp3/HOiRabYUC06ACJ6xyITRyWdIBouRKFO0EBMULBVBymszGtDZLF1uSrc4v09t8+0cTZ83TCWZeobbfe2rVtV9UyxWGXdt0Nh9jv7qq/5+Fq1aWPuvY7Q2dfNU73PPaSPvxipb7JLNLKXCNc+SVhZKyAulLMuq9kHVRyBk/VccHEYd8cxH7EzwDpAMksY3e64ly7N+WFMJYwYl2hDz/6l86/8ErtsltzbberyctOh5miNEDtDuqv1gedqDamNLXuPkRtepymdj1ONdJ1kjoYEW26T3ft1LC1tq/bRCeeOkwvvfamMnM4foBpUiY7igs3IFtbidamgnKxuUjnbvXBTbp3qcDE9T+URwOKNG0262TYnIljSJAb/t6/wQ3/lnvaJNptlzm0WQ888MCmE60AczPA/AmEYj3R4rw51l6tMhmxao2RrUx2xSuydjFTr7zygW4cO0e9TzpfbQ84Vrs03l87NNhHOzfprJ336Kxa9rt2swPVcp8j1Kvfmbr4mvGav/AFffbFauWZrMjPLtCaZXafka1S6kiJ1ZFykxVGrtjUxDc28WmgHtok5Inx9PA0cjnrgGixpIM1WugBm0q01rsJqUnSgi3ri63uFpgMzTJdYqnJzqdefl3HDRqq3++yh2o36qTGbQ5WhwP6GqkapL1NTrQ/6GR17Hqq9jpkiBGvQTqgx+BAtpq0OUh1G3dQ7XotddbwS/Tunz8yPaRARYVG5ApK9OjCR9W2ZduwTuu8c4eH8hHHKzXs8X2MVIMd4oXhPWnBdEp0RIgWh+3TDpGOtBeAe7e/FT894nKOzspgCUQLsszO2qyxS/cdqElTI0SLQLvSRGFl7Q+KPUSLucDMe00t+Jj4d3UAPxDICFYqIwSD3i2mzHGWD8TquOOOC9u/MgecjSAuuOCCsECUA84Y8dlvv/3CujKmFZJJkCxYMSSLES2ICASDuOKnGw+DG/+9pZDqJ4Y8gVAxTZCziCBaxB+iRQ8hgIhBsrj3ES7SkCtTPpn6SQ8YSi8LjSFhxB9CjX2ED+kO8C8Ow1ZUP+J65Cbdu43B8yudfTepz78PsZsOiJYvTO/atWuYAkTZ4h1lxWWG2+ceIDRp4BCYbIZRHUQrgdkzu7gTGk6TVVzDgZtFyTqDb1Zl6a0PPtaNU+aoa+9BRqYOVe0O3dXggD5qduhAdep9tvbsO1ztjx6mVoedqkamSOzavodaGOEafMEozZr/lN7826damVes/LK1yma9QUHSIQHBKCrID+fuVBiRIRyEK535bth/HOL0ip+tS2+IVmmBIU/fri1VPov9LYzscPfXD/6uM4ZdrDr122jneu3VZt+jtGf3k9Sy8/FqfuBJanXIaWp16Jlq1eMMte0J2Rqo1t36qvn+PVW7+Z7atnZjHXncQD329AtasTozbDISdsQzlIOw8H8r0dp0UC42D7GJ3fYysan5UJV9N/GzqoCJ3eCKTGAK/5gxY4Kyy5lPjErR7ri8iOVA7D+6B52rV1xxxbrOnfvvvz90IPo3bj+dMVfWucVOnAnRKlXZtyYnvjWC8e1a5RQUalVGrlasydfKjBJ9s6JIb7z9iW4cM0cH9RysOi0P0c6tDlXDvY9Ve5MPB/Q+V/sedZZaHzxIjfbtozpte2iHxvup2V6H6dSzr9SCJS/p62WZyjeyxahWSb7JCotHcTG77hUGohUIViWS0fCEbPnUQQ9zCLfFj7iSVsgcvyLnaPdp/yFaffv2DWvnN51okfbriRbnfhWVGUFkJkBhkRGtbD3x4mvqPeB0/WHXZqrXbD81bHWwWu9julXXgdrzkNPVqdsZat8lIVx7djtZ+3QfrL26Hq9WnQ7T7k32VJ0GbXRsv1P0+hvvmaxAXparwOToY4sfV/vW7Y1o1dVZw4aFqaUeL+BhjuPgz2KkGuyQVhjek0ZMFWQHZsoeug8zKZI2IhnNAm5/K35akH+eJ5QDdFn2F2AgBaLFoAnyIN23oCZNjRAtjAtACiVTBVHsIVoMUdOTklrwMfHv6gAJ7qM0LMRnjiYkC8HClelvCG2Gh6lADAtzz85E1113Xejt8Q0gGJFj/RYbZgCIBwTOR7TwCz/dxOFI/b0l4Cb+TZpDiCBMTB1k1I4DC1mjBnGkYPqaMwQJ4J70g1BC0CDMjGiRLhRa4u/2nXDhjxf6OExbUf2I65GbdO82Bs8vR/zOTfxsU5DqJvj444+D0oMcYJqun2nj711mpP5GaDrR+s1vfhNkSPUQrfX1whvP5FqmguIy5Vrj/tF/vtL4WffowCMHaCemtOx5mNofdboOOe0qHTF8jPpcMk39LpupfpfcqmMvmKQugy5XwwP7a8fW3dXswD46+pQLdev9j+mfX65SbklFmIbIFJiKMmsQrK4U5Vn8zc8KiyNky8OUalLD/WMRp1f8bF16G9EqLzWFrrzQiBaL85NjMDh89D+ffq0rrh6r7XZuojqN91LLvY8Ko1nNOxu6DE5I1mFnq1XPs9T28DPU7rDBatmtn5odcITqtNpP2xjROvSY402ZfEpLV6wKRIsRrTIjWRUlhq1E6weCcrF5SDW46+XB8V1/v4uq7LuJn1UFjH/v99R9iNbEiRODsksnH+0wbRXvXEb4d/GV+kznKOu7mPJO5w6KFx2k/o3bT2d4nhAX6qURC8iV1YnSSqJVZGU1t7hEGblGLFbn6+uVhfrg4xWadOt8dTlskBoYiaq3Vx+1O/IsHXr69ep74SQdP3Ka+oyYqCPOGq3DTr9OBxw/Qg32OUbbNdpHLffrpTNGXK3HnnlNXy1do8ICIy45ecoNnbn563aLXDdtMJo6uJ5srY8/IJ6ueALukXG008w0QpZCXnv37h10H9LMv3Uk6bAe7q4TrbJKolVoRCsvEK1iLc/K1bOvvq3jBp+tbWo1Ua36HbVHux7qYLJiz4MHB5K1V49z1L7rGWrd2YgWo1qHDLb3/cLmGPWa7qNd67VWr6NP1Otvvq+i4rVhoxCI1vPPvqD99txXu9TaRacPOS10fhMe4kf4uY/DWlU8Ug12XGfhilvoOHvvvXdYH3jyySev2zCE9EvSYL1fW/HTwvPPgd5KxwpEGaLFzqWMcKf7FtSkqTGixZVCSITpKaE3AAWLIWqm4vEOQwT9G48wv/1+c4Df+ANJ4PwnyBJTDxitYioCI22+4QV2uKJUMPpFhbrnnnvCznxsGAEr9h0TEdQIK0iJj2bhF3664d7j4b+3BPDT0xMTvyOcCAiUVkbwUFwZsZs+fXoYpSP+NGCMTAGIJFfSBHLJmhqmX7AhBtMuWVjI6BeCh/i7AOLewxH7vxXVjziN3aR7tzFgj7IBUvPNTWx/U+DuxHCixYL2Aw44IHRoULaqsu9hogGlzFIHf/vb3wblYHPXaDkwfOuNdIIyFZaUa1V2oR597jX1Pvks1Wq2t2q17qJOx5ypI8+9Sf2vmKFBN8zVoJvmafDoBTpj/GINHb9QA6+5S92GXKempjTs0v4w1W13qAafd50WPv2mvliWraycYqtjhSouKFZZYZFKrTGoMBlSXvLdzprYpIb7x8LTK/UZSNLbFDdT6L6tYDpfgUpLCpSflx/ODFuTka+7712sWru10i4N99TuLbtpjz2PMaI1QC0PHqIW3YepRY+z1bLn2Wpz+FC1O9yedTtejfc9PKTf7+s21ZHHD9YSRrRYe2JKKgc8l5cUGdk0lJkSWbGVaG06KBebh1SDu14eHN/197vwupr6jZvYblXAxN9yTzvLWmDaKIgW5z2yppi2lzob++vfAJ5Rl5neTqcpszc4yoSpRCwjSA1rOrOeZBlkfhmxcaJVYkQrt6RQeeVlyioq19KMQn38RYYeeeIN9R14gXZtfICa7dtPnU+8TEecP0knXneXBt94nwbecK9OvH5u+D3gqtk6buQU9TjtKjXc71jt3KKz2nTupfOvuFEvvPaOyQr0kmzTN1ZZO5wvDptm+mCy42AC1lA64Ql1N6ydSuKFPCGNHKSHpwt6CzOLmGGETsQsHjpgeeffOzw/YnCoeYWRuzBt0NIiEK3yEuWUFivT3F6ZW6A//vlDDbvoGm1ft5V+W6ulmnTopb0hWV1PCQSrU/fhan/wMLU9aIgRrdPCqFb7zseFkfK6RrR22q2FBg0Zrnff+zjs2pibU6RCI1t/fOV1HXJQN+24/U4aPHBQ0F08rk6AkvzbsCynxiHVYAc3uDoZZbSsc+fO+v3vfx86mdkwhOekH/bisrcVPz3IDwf6LFOF2dqd2Wms8/xVEi0viBROSApEi1GiZ555JlQMDBH0b/wexAmwOcB/prixkcO+++4bRmLOPffcQLIgTBAFKk7otbUrLJjnTC+gN4zeMzbwgJQwXQ5WjPB2cgYRIS6pSpLH3Z/FYapJePq58WeEBSFKuBEeTIVkIwx6+iDB7EBEfIg/aUH82fQD+zxj2hdpSPox7RKhw3sEDsIJf9wP/70VNY+4rrhJ925jIN9ibMzNTQVupMKJFuWHEWWfAhS7H9v3ekWj50SLdRob294d4882hrBGq/IbfrsiAsLZN6UV+tfnS3XzlFlqvk83/b7xnmrdY6COGn6zBo+6UyeNmquTxz6sE256SANGL9KpEx7XaeOX6OSb5+uEK+fosKE3qlWPU1Wr1SGmTByny2+codff/aeRlUJlZRYoc1WWirJzVWHyp9SITNnPhGhBcr4tN5lWkqvSYiOBZUYGORun0GSHKTuvvvG+9j/4GO1Yr73+sHsn1Wl5qFoeeJJadztNzQ8+Xc0PGaaWh52ttoebAtXzVDXv2k+123bRtvVaa5cm7XT6eZfq9T+9pwyLe5AVrIuDYAFT1IL/oYfewmRJkRrWrYhB+mwirKh/B/Y81eBuXB7Ad/3dECjd5ZV2f7j8wG4Cs7XOX95xpYxAtG677bYwqsBsCnqpaauos6l++j1X5AadgUwZYlbKQQcdpLvuuiu0W27Pv/uuIWyVJMtgKnhCtMJo1nqilWN+ZBVXGLEo19t/+0LXjp2jtkaa6rY4RJ17n68+l81S/xvnadC4RzR43EK7LtTJ4xfpZPt94o3364Rr7zB5MdMI2YVq3Nm+a9dV+/Xsq3Ez7tDHn35p9SRHWdnJiBZEq7S0MIxslVIvDWVlybpSR0K41o9ikQYO9Buec0VvgWhx+Dvy+IcQrZA6dl03ndJQamlTxJEVFr6sokKtzMnT+x9/rrHT71Srvbsb0Wquei27qd0B/dXuwIGBXLXtMlQdug5Vx4PPUEcjXx0PGqh2+/dVo9YHq3ZDky0N2mnU6Kn65ydfK9tIVl6uyaG8Yr3y4qvq2b2ndtqhlk4cMCCMOnk74R3f68L4PfHA+D12cIfvcQewSRgjodttt10gpaxj8/TjOy9HmNjt/z54+n43nbck4vxGt0fHYGCFES2WBnHcQ7rvQE2aaidaHmiPLAWR0SEWEkK02ISCDSl4HttN/c5//1i4G1QKtnBnqhwkoUePHmEnEkaynFRQaQCCCQEOEfGpdDBgBDsEkZEchpFZ68X3jPhARPCDb/HTDfceR0wcti0BN9wTFhewTiQhVmeddVZIE0a1aIwQtDRq9BZCtEgb4kh6MJrFPG6mGbC9O0SN9EEw47bHl3Tw36lh2orqAWnr+KHP/Dl5BeL7+Jl/4yb1+xjxu3R23F0nWmw2Q6cHnRiUx419R1mijMUjWumI1g9Fsl2zXS1u3FNu8SegtEzFRrTeePcDnXLOxdquYTvt1OogHXzypRp4/Z06c/JinTh2gQZOfFIDJj6jEyc/r0GGk8Y9YcRrgU684QGddO1cdT/tejU56ETVatFVvU44R/c98qy+WppldSpfK5etVH5GZiBaxVaPSovX16N0Jl0cqhOe3mE0yRS5suIcVZhit7aiWN9WmNJm6cGZQP/85AuNvHK06jTupP/dsZl2arifmu3TR20PHqTmpkC1MIWp7aGnq233k9WqS3812buXdmzYUdvUaaY2+3XT6MkzjcB+pXwW+Jea3DTljE031lZAsgDKYqLsrDWmlS6sW7EpoMxsBFbMkvvErpexpO5FcsHKJMoTzyrCu6TO2V9Z6xbWKZXZu1KzW4b9kG9mDzuVbieIw4YbCYzVBzA1z27Ce9zwK/URZff2228PRIs2mKNYYqK1ruxWhs9/o3gzrYy2jVkpTFem3cK92G4ctvXGfrNteSBZFi/7V27kKqzRCihToZXfnCJDcblWG9F69rUPNGjY1arfpodadzlJh595k06esFAnTnpU/ScaJizRCROf0EmTn9JAw0njH9PAsUa+bp6v3iOnm3y5LJCtOq0P1PGnna/Fz7yqL5atUhY6SrHJiZJkY5oSyJb5zW6gbNyTkCza3WQjH+QI8edKGjnR8rYaAoESylIANidjhoFPHURH4NsYVaVVSJtKslW6tsSIFoeyFyizIFfLsjL18ZdL9fDjL6jvwGHaqX577VSvkxq37aGWe/cxwnWS2nYeZATrVHXqOtgIVn+1N5LVslMv1dq9vXbeva067nOoHlzwlJYtywwkq7CgVLnZ+Xrumed1ZM8jjWjtFNaYoaMRP+JK+IljyEHCWEXY0wE7HmcnWpBydquEaNHuMKMJP3jHN54+7t+vHcjkOE0TUN6S0dSkY4JnpGNSDjf81mDVDFQ4KmUJSOTGevmwIb4bnlR4mLinjDNrBp2dES2mEP9qiBbGCx+Bp9CznoJRJBak9urVK0zjc3sewfWZtj6hNgWphmfuBn6T2E899VTosYFUcPAuc5NR8LwHBAEE0YI0YZ93ProDmWBB5JQpU0KvGLuesbaLA1SphBASvsMt/HTDfRy/OMw1idjEzwgPYfT4ofTSS8iBhRBgDi1mdybSCiWWrbgRYIz8Md2CdCP+FFjuWfPm8XaB7g0ffsbx34ofB9IQpD4jXUH8jjzwvPDnbi8G77BDY+ENb+xmbA83YpPqv8PDkIrYLmWDMoewo7wxnE8HRky03E+u8T1hZaogo8rUP6YOUv9Sjdv3+43BXK/cu8vkkH1CjzxhLCFdikweFJVpyRMvqGuv4/Wb3Vqr0QF9TBmarIGj5+vE8Ut09OhFOm7qixow8w0dP+1V9Zv0ok6YbBhvsubaBzTw5gXqe+ks7T/gUu3Yqrua7XukLrtxqt756yfKCGfl5KgoN1sVTAkyxSTsumd54ekZm9Swbw5ik/oupLk1jmvLTImoKDKh4eTH6nVZhcmOYi1dtkbPPP+Guh7aRzvVaaHtdmkZFKiW+xylpnsdqRb79Vbrzv3UpGMvNWhxkOo22ius6arXpL1OPvM8Pf3Cq1rDtC9TWkvXFplyXmjpz7oT88cQDmMNSqOTraQcbMUPR2xSf2NCB0O51VHTenhNWpP2vt6HfGcnSEYYy0yJLzbFvgRlnrrCt/ZdsX1fVIai/a1KrCIl7uF2Jbg3rA8XPyoilJkFA1dTtexmnV3Cg0xjqt+cOXPC1MFddtkldJTSAYj88jKCPcB3Xof4zYgWywQgWoyiz549O3Qm8k26suXGfgWCZbaCAmgpYnG29AkKJCgLZ2ixcyZxXroyWw8selFHDxyhnVt0V6tDT9cxF0/XoKmP61gjWUeNe1S9Jz2l46e/aHLjZfU1edFv4gs6cfILGjzxGZ0w6iENuPpOtT78DO3Qoov22LOHrhs/U3/56N/KyMlXUZDXRRanhFyhxBJ+woLc8ntvAzw+SVjXg/foPMhUOqBZd4ReBmF59913gx7kdQ9wH/9O/KmUFSjVlZKUDUKKyguVV5KrNbkZWrZmpb5YvkJvv/cPjZs6R3sd2Es71m6lOg32UuOWXdV6r6PU6cB+hr5230stOnRXyw6Hqt4ee2mbHRqoUZNOOvvcy/Snd/9ueobFyYpHcWGpsjKy9eLzL6nPsX1CeeAcMJRnygLxJayeHg5Pi6oQG39GXEkLSDlEi8OySSP2G8Av0tHtu/Fvf02IDT/Xl4nK0VOru2VlHHDPaGux2bG0h3jbfVERs8UYYaSsWpqGdtZKDO4Yygyh/a1Ecm/2rJ5BtkwwrAdlLSVsVcHzHV2XDbcYSEB3pZMXHSTdN6AmTY0RLUDgyRSUpE0hWh7hTakcVcETGbcRJhAmWC0jWSyKY54mJMFHsag0CB4IFUqfkwWeQSQAI0BMd/SeDQQ2p9OTaYx84Q8VD3/deBgIEyY1nDUFN9x7OvpvwkiciRsEkRGsm2++OezGxPQBSBQjjoz+Mdp1zjnnhB3eIGG8Z/MMBDPb6+KOx5s08ytxjvPAw7UVPxyejlU9p265ssFzN/yOgR2EDmXZ841n5FciNNc3pu6fG+557ib2P7afitgObuMXDSL1DznAGj8WplPvsBcb/9bdIawQK+ovuw5ujGh5WOOwpIOlmFDtSi2qQeAHBcrKL73DKI6lazX/kcfVsfPh+t3u7dT6sJN14jWzNWjcIp0w8Sn1m/K8+k5/Tf1ufdOub+i4GW9o4Ky3dNK0V3TMDQs1YMwi9b/mHh1+9lg1OnCA6nc6XP3PHKmHHntRXyxdrdycPBXmZKmsMDdsBIFCSzp5vN2khntzEZvUd8FvU6otQPbSFIlyK1tGuipMsfuWhtJax/zCMn36+XLdcdfD6tv/dDVsurd+s11D7dZ4b9VuvJd2teuujffRzrt30E61W2vb7RtqlzrNdViv4zTz9nv0yWdfhpGAMnO/7NtiywdrnGX+hdxIdlJDgbObgNQwbsWmw+uRl6l07+lgoOwno09JokO0KI+lKPaGZKSkJBCtgqJC5ZgsyS0sUiH1xD6BZBWXW5tpv7lCuJxs4WQC9zdRmgLM30CyNkK0kBsQrTvuuCOsk3GiRftFm+MyiHvAdzzjyu9UogVh+yFEy1wPCiAos6CjKAY/LZ7lYX2hEZeCEn3x1SrddvdC7X3oAG3f7GC1O+ocnXD9PTpx6hPqbegz7Vkdf9sr6n/7m0Fm9J7yR/WZ/LoGTHtdA4149R+9RINuelhdTr5Wu+9zrGo1P0DHDDxbj7/wprLzjdQVE79ERgCPr7e5Hn7u/Z2D9h7dhhkq3l4AiBZLAGjbafcZ0aJ98LbAEf9ORiWQ0ZZGIb0sDS11mFJZXMEh7HkqKC1QRm6Wvly6TJ99vUJv/OlDXXvTFO174JHatV47/X7HZtp+lxbapV571TWZUadhR5MXbbRTnZbaYdematS0o/oPOEMLwmgWa+ctHiWWX1Y8iguL9fKLL+vYo4/R9n/YLnQUs6yBeHn8XY5WlcepcMO928cd0o3O9MMOO0zbb799IFqkGX7hR6ob8e9fD4hXkt/Ify9766escmVmAlNZTZ+O1xHaO+xxJmVpKboG+oC5QxkyN6nt1KtS88BrP6UJ8DfICK5kfJAXqWFLD/KOK2UZPd2JFgMJlJVU+46aNDUyddArJfdkDCMk5513XlgPBNFilzuM28FsSoWIEVekGO43/qJQQpKYl820AaYrsXuRb0sOUECpOIACxHfcO8mispFhKIlsDU+FY6h90qRJ4Rnfu0DDXzceRq7+e0vADfep/nua+KgWG1wwfYCDm1FeGWJl0TCLY7kyAkgBZaoXZMt3aYRg0tCRNp5urrzjR+znVvx4eJlO987h5R17GK7kg+eNv3N7wMu4l3f3h3v/HZv4t/vr38RhSX3nfgEUAkZImcaDHIA0MVJKzzTv+c7dT3WXb+kcYRSMqYOQf2SKf+OG3/jp9xuDSZ5AsJxohV40evINIewW5XsfeEQt9uyqPzTspL2OGabTx9yvgbcsVP8JT2rQrNd1/Mw3TXn6k46Z9oZ6TXhJfaa+qpNmmvI0+XmdPuNFDRn/qE64crb26XeB6nY83JSw/hoz9U79899fqaS4TCX5Jnvyc8PaJAgeYfe4x3Hw9PTfm4PYpL4LfkC0wjQua/oqrHyUJmdcsSNimWmaefnFWro8U+/8+e+6696FOvPcy9S0zQHarVEH7dKgfTgvh6k/O9ZpZQrT3tqvcy+dMuR8TZt5t95970OtzspRQbE1yEbg2FjAVGRyIviXkKytRKu68H3lZv078p2yZ2W/chQLgpWMskZKldkpqzDZUc6ZSVZ+rZJAspg2WGyKVInV01J7XkqdN7tJz/R3/TWPLGMrlacIgYSR7ZX2CB+ygc5MyBWdnDvvvHOY/ke77vKLesM9cgLj8ULGMXWQ83PiEa146qD75XBjv6xsWhzsb1VEay3T9MzfvNxCff7lSk2aeb+a7NVT2zXpon36XqBTxszX8eMXG6F6XMff+oJOvONNnXjnn3TcrLfVe/qb6jP9LfWf8aZOmPySjjOideq4R3XcpTO119HDwsYYrffvpdn3LdKqzEJl5xiBsXbb9ZFYPyHexBXQDvMc3YZ7wgqwE7f9XN944w2dfvrpoa1n6iAjWrjncsi/9TT29LJLUJTtV0gliBbr10oqioxkWbhKCpSVn2N1PVvZRkJXZubrldf/qlsmzFH/geeq/d49jGCZnKjbyuREC9XaraWRrbZq2no/7dO5pwYPGa6771lg7cU3ys0rs/CWhh0HS0uMxBeV6NWXX9UxRx2r7f6wfdAn2S3aw+3h9fxNl8cbg8eTK+mFnsN5qjvuuGNYPoK+FJc7/ybVnV8PqI9JneIsRcpREv9kRCt0wJTQeWttmbUVzEhgN8wwM6GSbK01mUFHHSS9rMzStcS+M7es1gcwOk794h4JQC00n+1PpWwIRCspdOnDuCE8P6gnnNVJvaeMo78zUyvVvqMmTY1shkFEPbIUSJQilHQUrMMPP7xaiZb75cC/GIxoIaTZOQYiwRbvTAVkHRIChx51MsQVT0Cl5R1XnvMeYc8OJqxRYnv4K6+8MiiOVEYX8nF84rCm/t4S8PTh3v0nfISV+Pj6q6+++ipM7VyyZEnY7GLIkCE69NBDwygXI3jsEsnI1q233hqGzWm4SBvfBt7TjHvSijR3PzEenq344fA8jPPS4YbnlD2A8e/Ia7+SJ/4995Rr8p9y4GXW3+FOujyMjduvCrG/7iagvtC7DHmHaHnPdOyffx+7x7cISOovm2HERAu44R5//X5jsFgnRMvslvPbiRbpRs+dyfV7jGi12vtgbd94T+159FCdM4nNLx5U37GLdfJsU5BmvaPjZ/9ZR5vC1GP8izpmyisaePtbGjjjVZ1x2ys6Y/KTGjL6QfUadrMa7nOsGnXorvMuu0l/+dvHFk7zv9jqTV6Ovg277W0oPzDckxaOOPw/FrFJfZf4ExEtIz00mOxsxpSyIlNyMjJztGxFhlZnFujTL1fppT++p7GTZuucC67VkX1PVZfDjtMhvQbo6H5DdMZZl2rqjHvCVMMPPvq3vlq2MkwbzDFyWVicb0q7KUdKGuakcabxZmYAjSsB/G4Yt+KHoyrDuzCKu24ktyQhVxCrSjjZKrX7EiMWgUiZ4lRqeVRs9bagmFEu1g1ZG0h9t3eQMa4bL7MoTrwnr7k61td/rsgG2il2AN5hhx0C0YIsxUQL+eBtcFKGE9Ae0V7ddNNNgWjRs12dRKui1HQGi3shU2qXZ2n6nAfVdK/DtEPTg7TfcRfo5BvvU9+bH9Yx45eo37TnNGD26xpwxzvqd/s7OvbWt9R7xlvqO+MN9Zn4gvqNfVyDxz+qwaPuUY8hV6l+p56q1/pAXXDFzXrupTf19jt/DmvdGcmn0wkdht55NoJg1I4Nuogra8fpQGXUjjQi7ZCx3NNGQ8Jou7kyo4W183Qc0+YzWuNtgqcP944kvSy7kizbgGyx9X3p2mIVlRmRKzb9oCA3nDGWV1ymbCNJXy/P1vsffq6HF72ga2+cpgGnDFe3w4/X/gcfpa6H9dXxg4Zp5JU3aeqtc7XkiZf0n8+Xa/mKrLAJRlGRka1cNsMwollQpDdff0v9+hyn32/zhzDaRLrQpnn+rw/rhnm7KfC4Uq4oP6QVJHSnnXYK0xQ5msjLHcAfrqHMpHHvlw433Htd45pMB0zASCu7YkK2ko4yI/6lllfIeJMb4TB+a1DLS03/NJLFZlPlFVa+QvmhbpnbBlpufEyA/7SH9jRg0/LT84N7ysSjjz4adjiGaF188cWh7qR+46hJU2NEKy6ECIcRI0YEotWzZ0899thjIWKeIP5dHOnvA/Zjv4AXAuCVjcRmqhtbuzI1jgNTqZiuaHKFbCGQuHol4gpcOGGXHiDWiVDpWKcEQaFnCDv4jZ+EzY2HNb6vaXi6OHjm/vPb04cwe7wBjQ+K8B//+MeQP5xxRLqxFT9KLYQMOwhyBDdp4sSKuHO/lWhVPzwfKVteplPteLl34/kLXAFxkEeUZc8/d9/z0cu/++PvU/1MBwzX2L0YPqKF0sPoFCNalCXihXG/Uv3DLUZRGZFmXj7kn7oX28Nwdbf8eVXYgGiZ5rBu6qCFk567EtOqHlj4uPbscoS2qddezQ85SWeNn6/jRt2n3jct0EnTX9Hxt75hStOf1dtw9My3dfycdzX4zj/ruCkvqv/4pzRo7BINnbBY/S+9VS0OPlG7NO+sE8+4WC+//l44F6akqFRFuXkqLy6yhmh9D6kb7qtKkx+L2KS+S/yxcBjhgfgkTSANp5UHa+hKLW2yc/K1cpXJizVZRrbyw0Gt//z3N3rnvX9p0RMva+6Dj+mhRc/p8af/qJde/bP+/dkKrVidp6VGzpavXK0skzn5hXmmnOeFqSaByFUimYqCfCIc6cO4FT8cbjYsSwB54qOIpqRWQK5oyyDXyQhIXl5yIH1BYYFy8/MCmD5YzGgO9cbKLOWixJStUH5Ne+LKOXHfBn/SyRDyNYE9rbxP7MVXgFt0lrIBRq1atQLRmjVrVphOiEyJ5Qz32Od7rsg3NnIaPXp0mPaO/ODbTZk6aCGyfxaPjRAtzsErzDM5avV49Zo83f3AY9q7+3HaqfmB2vvYc3TcZbfp+JsfUu9blqjP5GdMXpjMmP2m+tz+lo6Z+ZaOvvVNHTP9NR072YjWxKd14rjFOnHUXB119s1qun9v7dxoL+194BHqc9wgk3n9w6wTpvqxCzL6x9lnnx1mCl144YVBv2J5Bp2iw4cP18iRI4OsnTlzZpg+xUgMxAxCBhEj/SAN7DjMVG52IN4Y0VqfXpYykCwTs+umh9o/1uWUWR0utjpdXF6sgpIiZdKZm5uv3MJS5RZUaFVmsf7zxWq98/4neu7VP+nhJc/pnvmP6v4FT+iJ517Tn97/h/7xyZf6p+HLb1bpm2UmL7JNWWcjnoIS09UKLHzF+vO77+mkAQONaP1e3Q/pHqY8uh7mYU7CumHebgr8W66UKTqV6dhD52P5CUtI8CeRU0k7id1QYtK494sH8TJYaoaOluKS4nCNywSki7VYHD6fjH4zskpeQb4Kw1rGgjz7ncdUZJM1lSNTdG4iQxj1TkbAaZXxqRJBPlnahkKWEq4qQHg8X8gnBhAYZIF7XHTRRWH008MN/LuaNjUyddAjS2ZwZcewCy64IESWHoiqiJYbj/z3gW/cj1RhC1AaEbZUDkbSGIniXCwEDD0VkCwUTioTwpxnNCpOsLj6Pe4y5RCixcJIejcQTN6TAvCTcMUmNcw1jdQClO4dILyEnfjHUxJ8pIuzxBDKNEouxEgfFGN+E9c4vdOlQar/W/HDQV6RpqSzg98x3A5llbyhPDuRcjtxmcYN/+2ky/OYd15GuMcNf+5+pQsn8Dz3b/EDeNlgqi2NP0oPW6761EHcxfBN7L+DZ5A0eqQZ0WIKB0dGuN1Uv/1+Y0CkQ7RAojCa39aAlFl8S4qNABVX6MnnX9NhfQbrf+q0Uu1OR6j/lbep/w33q/eND6vfhKd17MTn1WfW2+pz53s6dvaf1d+ug+56z4jWyzrulifV/+aFOm38Ip14xe1qfegp2mGP/XTUCWdp8ZOvatWaAuXnWuOUV6jSQtZBbZi+HgdPA3++uYhN6rv1/li6GsHykSYrXaHhKzcSxtlXOabwrMnOVXZ+kbLzirV8VY6WrczRF9+s0adfrtTnX682YpWtNVlFysotNQUrT8tWZSjT5EdBUUEgWTHRCn5A8EJZpSxbeMhGCy5BTg3nVmwa4jLDPXWQ+gy4h9gWFyTb+JcUmwzIzzH5z5El+aFuMb2nwMpmjpGJ7ABrJ3Osfchiy3Gza89oN0LbUcA6Q8iV+UdvtX3LPXm4vlxVhoVn6WB/UsNNmaDd4ews1mcByIOfhQVcpnHvMsGfQyqYxYLMYfo7MzPoLEwNk2O9sd+BZiWlPxAte80GIOv8NcKZi85QWKLVGbl65ImXdPTAc7RLyy5qe+jJOmzYzTpp9AIdP+4xHTfJiNb0l9Rv5mvqfdvrOmrm6+o14486YtrLOnrqC+o7+Vn1v2WRThh1j446Z7QRrT7arm5H7Vi7pXbetZEp+rsEZR+iyc6LHNyMPgO4Z7o/YMYNI1RM++c4GmYBQKLYMZjtySFibArAWlmmDSKH+R69jE5W2gNPF08j4ur3oU5CsCKiFUA6MaplJCvZgdD0BSPljGoVMV3MEi87zwipyYTV2UwnLNDXq7O1dHWWlmfkaFWWlS+OkDBFPDO3UJk5hWGacr4RrIrytWHaYDHTre39e395X6eePETb/HbbsPU6G3bRfjlJBJSD1LytCh7f+N7dwE3OX4Xk4xf7C7jOF38XSkzl/a8F4aw0yI6Bkey8gnyTBaYzFzJNMJEhbAYD+WWnXupbkRGr9WsJEx2zIN/auhyTLzmmY5hdRrRKWNto7/gGwlXC6Dk7zlrbYz6b/5Q56rLVPAoY/9OEMRXkiecN7kO0WDYE94CDwEV45/DvatrUyGYYBNwLPJF2okXPCb0CEC0i6ZXBv4mNJ8D3wSsE/gDu3W8URJRIejzouWHRJyNbTB+ARDAdEKWUyhQrqD7KRUbhnjdM9I4xBMkUBoQXI1xxPLHrmReb1DD/VPDC5XEifbi6MsyVtCDuEE8aMxRhnmHXhRnfcO/xBZ4P3P+c4vxLh+eX54/nlf8mL/w9eUMZdtLEe8oyI5FML/FpJpBn8peyjj3yG3te3j0v+Z737hZ+eB6nC6vnu9cHvnHw26cOogRwREDqiBZuu/sOf+ZEizVaLNxmm13c5dvYb77x+40hIVomlM1+2EXNwseZTmyzXmxEq7C4XH/58BOdNfI6bVOvnf7QvIv2O/HScPZNnxvnq9+4x9VrzGM6evprOnrWn3T4NFOepr+uE2a/oxNn/lEDpzyv/qMXatBN83X8JTPUottgbddoXx1pROuRx1/R8pXWYOWaf4WWTqZglFtDxTooT1s33Puz6kBsUt95mjPaYSVg3XbW7CzF4aRlFaboWDoVWyNZaOmUYQr3qjVZycGq1oiuNoUpw0gVClIB030KSu15oT3PNpJl5avYlHJriPMLTLaW5IdF0wmZox1I4hgW21txsJ/2hzB+N5xb8cNBHXIZDoLcYDpgoRFeSG/YOjyR84VFxZaHRabs5mv56kz95/Ov9W/D518t1TfLV2k1eZ5NByWdNLQXRrozs8ydYn0LwaIOm5KVZCJlakOZ4cp5eYTkWeX72K7dO9GCYEC0IEu0TbwjXsgBlxvUY2SCyyBkH1PiIVrInGnTpoVOROzG/jjWG/tdSbTM1jqixZo0d7/IiER2BluP51s9yNaLr/9Z51x6sxp0OESN9jtW+w+4JBz10H/sYp0w6Wn1n/aC+s14Wcfe+qqONBw+4xX1MvJ15NRndezEJ3Tc2Ec08Kb71WvYjWq09zHavm4ntWjbRT169tWxx/YLOycD5B+bQNB5zJQ/pvij1zBFilE74slmQ8zggXQ5GSP9IGPoYcwq4B3pCTk7+uijw1RC2oA4XTyd/Bkm5JVl7YZEy9KFUS1TlovLigLYoZL1eqVmsazi23A2YV5hufKKKoxQGYmHgJlDrPXLM5mba0p4keVZoZGp4jC9zL4xcsW6HsBIN0TrL0a0hp45zNqC34Wz0V566aXQlgHKAXnj5cHjsTHE8YuBO9QHzhojnUhfdFfSiPrj37pJ/f6XDkaTyE/W0haZbMjIyrRyvjp0mOUbgS4sStrKImsPckwOrFy1Rl98/Y2+MjmxbMUqawsYvKDj3vSLLNNL8oqszTN5kWXywtoOdBXSl1002aGwpJR1dnTw0Q5Sx5K89A6bdGFMBflBveeaSrQY9WV2nec38O9q2tQY0SISJBKRJnJOtBAM1UG03I67ExQlg1cw9x8lkp70sWPHhulKCFwSnIPnIFoonE4sAJkPUDxRXBHiVCoyDWWP9SX0LCHoEEwUFFd248odmzjcWwqx4benCfekE2F2JdjjwD3xpCFGaEGyuPLO0wDwPWkTKkGlf7H7sZ/+fit+HEhDypWXwzjf/Df5wW/yjbJLvtGRwKgPm5egaNCDeckll4QFoWPGjAlbq1MHnHS50HO3uU+EYFKnYr/I93R5i/Hwepgc/GZEmIXpKAAoA6zRog7iHiauQ4Dn/syJFrsOMppM5wnh4Z37HYfD76sCvWjh/B8aE3OD8DHtgRGtUmvci4srtGJNnibNuk+1W+6vbffYT3X376uBN8xVv1H364Txj+nwGxeq14RndcS013TohBd1+IQXdPytf9SJpkCdNPlZs/eQTrj2Xh193ng17nyCtmu8n/qdeoGeevEdrck0pcKUjoqytaagWvpYGnncCV9sUsO+OYhN6ruQ7pAsa+jKUJogWnZFgQqwtGL0jzU4pFmuyYY85IM1lKzTycsvCI0vvZsoRChJ/M7Ns3Jp75hewmhJgREtRrPCYmm2j6fXkpaUvyhvW4lWtcAN95RvZDf13DtYGNEqMQWnKD8nXCmDWaYEvf/B3/XAw4s1duIMXTlqrC66fJQuvPx6XXn9WN16+1w998If9cm/v1RGBm2lETIj0quMgBUZ4Vhr+f4to7NGtML6inVEK2orLGimQ6+bkgf4HfQprpV1INi1e4gW66M3RrRcJrl8ctmBPTbA8lH0qVOnhg7TUNYjfxyJ4Wq/qyBarC/B/dzsLGWY4pllCiXk870PTb5NnqOW+x+hXdt0U7sjzlS/y+fo+Bvm68QJT2jAtOd03PQXdMz0F3XkDCNYM1/WUTNf0lFTn9YRRrL6jpmvU8bMU/dTr1SdNj20gxGtEwedHzaGWPLYE3ryySfD8StcUSDZuprp/eyqDBFleiWdV+ysOGPGjHVyn+mF7BbMqBZLN5hKxeges3PQyeiAhrT5DJ04XVLTCROIlWEDosVv5EbojLF2hA1++G15QOcMpIl1r8Wla1VQYqQfEmVlpBj7lpYFJnfz0UOMqIfOHMtTwG6LTrQA60Q/+OBD0+Eu1DbbbBvID+eaUqbR2chz8oZykC5/08HjmGp4Rj1hFhRlDxJLuqP7eDrhHyadu790hM41y0dGKfMKcrVi1UotXbZcK1dnKjuHqcQlRrxy9MFHH+vhRU9o/KRbdfV1N+uSy6/TpVdeb7+naf7Dj+qtt9/Tl58vU052YdjUJDszz4gW+ga6DJ32yCQ6eum8T2Y3JEQrgedNujCmg8sA8og1Wj510ImWuwn8m5o2W4RopY5oUVixUx2KhfuDW17J4gSk8jF9gHnKrO3gDB+EDYelMoXAiRaLRdnK05VOniHgufcGinnOZBjC/pRTTglrvVxBTfU/NnF4txRiw2/C5OniYQWuVMdKtD93oun5iB3sup3YL7+Pf8f5sBU/DqQhaU36k/aURfKBfAHcAy+zNDiMXLF4nLn77MpE7yYjsXXq1AnglHTqAPP4aZgRPpR73AbkO3552cB/b1x4xu/UvHXDcy8vHkYH4aLDo3Xr1iFMjCz7FCDc4OrADwfxY30BjSpEC6UAooUfAD/deFjisKWDhd5IxNqwg1pyNo2Vfbsvx01TFktMGWCqC4eGHtL3FG3TsJO2bXKgel88WX2uukMnT16ivmMXqffk50xReklHTHxex05+Uf2nvaS+455Uv5sX6vhRycHFhw+9Ubvvfax2adFFQ867Tn985+/WcNHjZo1BYULsytJMHXSTGvbNRVVuJiQLWP5BtEy9tFAFdTNJsUTp5C+NcNjwwOwyIhUOHzbCxQ5TpCV5Vh56oVkrQzmi3AJkSkKy1laOlq1XwgmXwbLTyVby7Lth3Yrvh+czZYo8QTb4iBb1utjqc25OtgpRUnNy9emnX2rRkqeNWF2nQ3r1U/P2B2jnBq20U72W2ql+K9Vp1E57H3CYTh92kW4aPUUvv/K21hjZylido4xVmcrLNEXXFONyFCgDa7QsJ83/mGglSjlvoGGBaNlvH9XCuAzBPldGvSEStWvXDgrv9OnTQ1uNPY+b23fZ5M+xN3ny5NC5Q0cr96w35n0Snu/CUo1QBHiZ35BoASMH+Xlas3qlKY2M8OXq318u072PPK0ex52mHZvup8YHHqeDTrlW/a6+W4PHPaoBEx9T/ylP6fjbXlS/21/SsbcZ6br1OR0z9QkdM26BjjOSNeSWeep60kjt3OxA7Vx/T11z/VQjtUu1ypRbZDT6DOCedKGjKr7ynI4212fYIIONM+gUZgkFxIxdmJG91113XZCljGwxQwf9xjtQ4/TZIK1IFfuTHnRgmbyw/KZjBtlQhnw1mBMGU4KZBmigk4u1XCUVJntR6CuRrNsxImbyBEWcqcoQW6abISPZJvzjjz/RFVdcpT/8YftAfogXaUL7RP4Tfi8PmwKPrxue8ZvnyDFIKiOCdA6iuNOWBflmflHGNlaWNhceF/zwMNWEf+6++0HcwllYrLUqyddXS7/SN8uXGVbYvRGuFZlhg6N75i3SiIuvUc+jBqh1hwO1R/NOqtuwtWrXb6EW7fbVoSZHLrD3d9zxgN599yNlZTIrqsxkULHVm2QwIzOTcsu6f44foCOf9hi9c32b+EPiTNgBbrPxXrdu3QL3oMOB/Qa8jMTf1LSp0amDSWaVBqKF0gdJ8amDmDjCbuLIbwriAhKDd1QCKiACiLO8mLbEbmckOgtJX3nllSCUaHgQUAgmBJQLK4QXZIsMQzgjpBH2DLUjpD799NNQ4YijZ67HycPwcwRhI4wx0j2LEcfPkc7trahexHlAWaMxQUninnIJwaKMU06ZJsPoLQ0pU0wo52zNz1x9RoPo2WGrU3p2IVv0aDLCTM8nU/Eo/66EeZl2xQx/uHoDk1q+3XiYqXsAdwBufvbZZ+FYBMKD3xyYjZ/Y5zt3k9/uP8+IM7sFMU3kN7/5TZgqA9HCHnb8ezfcfx/Mp9CoFxrJ8kW83zJtgXAbMWD79cycAn3w8ecaPf0u7dpyP9Vq1UUdjhmmIy+cqDMmLdSAWxbo+ElPqu/U53TctBc0cOYrOmnac+prJKvPtferv5GsE66YZYrTparTvqda7n+0rh59m/728VcqKP5Webklys0uUKmRurWmTHj8Y5Ma7poG6WIhCQTLwT+TDhuA0Yowj55NFJj+x26BzLEPW9UbLD2TjUXMBVO0wpQQ33hh3TbuyBB3y8NAnA2m92wlWpsP6gblinpLHXaZAWjn1qwyBSevUB/9/ZMwWtX7hCFq1HIf7bh7a+3UoIP+t1Yz/e/OzbV9vfb6fe3W+t0OJlOa7qU2HbtoxEXX6ZXX/qJlS7OUl22K05pclRWWqowpRYVGvE0p9m3jfXTLcjNR1g08CWTLHoQRrcr89npNuLki15xogSlTpoRnvMdgB3h8ufIOGcKIPfa9cwf5A/mI0+i7wN0E9iv8TSVa+EO5zsxYpZxsI0B5BVq6Kkuv/eUjjbxxkvbYq4dqd+ihlj2H6MgLJmnQzQ/oJCNTJ015TKfMflGD5ryoPtOf1NGTF5v8WKITJi/SgDH3a9D1t2vfPsO0Y+O91bJjd902e77pIcjkRJ56XGPZ6vKVPHY7IXyV6ejvaSPQhZC56DasyeLMTGbp0CGXuhlG+rSxVKkKlWnlUiQgpX5DtirIV5MHjGaHqcnIECQNo+aGcpMTYb2OhYM4eV4SF77/7LMvdP31N2iHHXYMbRnKNHHDvse/6vB/Fx5fN9x7GuM/m48w/RKiToc97/y9+xX7Fxt+/5CwxG5xdb8Io8fPwxvb/T5UZc/dwE33KykvRSosyg9rafMLc/XPf/9LK63sLF2ZoX999o1eeeN9jbp5qjoffLR2NVmxQ+0WhpbapX5b7WzYzn5vu3NTbbdrM9Vr3FFdux2r666fqD/ad6tMTuTkFurrr5dbPV4Z6vLKlSssD1mmwgwqOnSTEXcvO4QvNexVwdMJveHpp58OZZvOBDaLgQcQP3fP88jva8rUONEiwlURLex4AXDD/aYWHuAFJYY/p5J4zw+jV1RI5tvSq08PF4tC2YUEYQyxorI6GB1AgeXKVAMqGL0+9KhB1tifn3f4AeIKEYfjlwLCS9i/Dx63X1r8fqnwtCbtaSwRHpQ3rt6zSaNJWaTnkjPR6OVj8S7z8Rm5Ysog00mod0w3YfoM2/pCvug0YH4/xxWwqBh3KMf44Y0b9QG/UolWDMLq9ZewUu8duMN3EC2m8UC02rdvH3YAo2MD+/6dX9c3rMn0DbZ3J5ys0aKHKiZasf8Y7r8P9kUY0YJoMWWBc4PWGjlYy+hWkRFNUxaZ9paVV6IX3nxfRw8+Ry0POlp/aLyvOp94oQZeN1t9rrpdvUfdH3qqT57xrAZPecqUqcU6aYwpVKPuU5+Lp+vQIdeoZbeBqtPmEB3e/yzdt/B5LV2db41XuaW1keYiyMl309FNari3BCwkpgBb2laCfzyJkTSAlvbriJalXQBnbhWLs8FYp8Nuimxdn5zPlZAsU40D1ithSb4nIM6GSqU7DtdW/HBQRyhX1EPvMPGRj1Wr1piCk6l/fGz1csrtOrhHn6AkbVu7lXZstLdqt+iqnZp20a4tuqnJPseqdefj9Nvtm5lC1VYNmu2vlu27adg5V+mPr3+gVctzjWjlqyjX5EORlZgyq1v5BWGDGc9jVHHLUfvH3/VEK7yxBxZMs7eeOBFuwo8ixgwU2l6IFh2ekAXih3E54PHlyrfIEL5F3v1oomX3YVc0+8WZeyX22IkWccvOWqM1q1ckcjgrTx9/sVz3Pfqcjh86Urt1OEQNO/dVp77DdezIyRoy/kGdMnmhTpy0QAOmLNTxht7jH1A/w0kTH9QJ189StyGXquHePbVTow463mTOs8+/aXLCSNT3EC0HzwmbpwnPvN3gHeCeZ5ybxQ6FTKvkrCiOb+Ed37os+i4q8yodLFdB8q/yV8j79W7hbpKvEC2TfRHRYmQ8jJQb0YKIYc/zlavn7Zdffq2bbhptRGunQH4WL14c9DePb2x3U+BhcpOEL0k/2i2IFiNa+MVUfJ7xPk5v0o3vcM+Nu817h9upCtjBTeyBOC7p3HR7/t6Nu+f23U4q3C38wV/iRPyKigrDaBbTQIusbVyZsSYc5bBsVbb++NbfdOX1k9Rur0O1zY5NjFC1CKOv9Zp3UcO2h6hB60O0W/ODVKvR/tqh3l763Y7NVatOG+25b0+df9EoPf38W/rym0xlZOXriy+XhumI6Odr1qwORCvZuRAyRDqsr8+pYU+HOD7EhWmlLDVgJhuDK8xC43lqmvp9TZktthnG9xGtONKbmqgO7MfwZ/jNdAmUOaYP0ivOkDnrq1BC2ZGH9SpsaoGySm8OhQylEnLFiBUMmOlVbK267bbbht4f1rmwZoTK5STNK0QchtjE4f2pERt/5vkF4rjE34HYpL7biuqFlyUM+UF5AwgKyrX3UKN0sP056xggI/S+Ubapc/ToQHAQZNijvKJosH6Lss8okffWMUrL0DoKGe4D/KVO8Mz99nClAuPhdsHtwA0nWoxmxUTLv+cbrvjJN14G8ZP4QbDYdZAz3pgK49/hpxv339OwKpgNa9ArAtEK29CyRqW4UOWMblkjU2ZxrSgtC5sC/OuzpXrosRd18DED9fva1mi06ap9jz9bPc8epZNH3/v/s/cW8FoV2///6//6feteA1C6+8Chu5tDdys2BgIioaSBCIKIndjd3d0d9+q1E6XjdBd8/uu991mczeMDooKC985hsfcze/bEmjVr1mdq67iLH9TY827V4DOv0eDZV+qIc27SieY/avqFatHvOB1ap5Pqtk7SzLMv1tsff6eUrG1KMwDH8gnySlnjlQUXm+8/guBNSMb/CJWCoggFBlIUaIUzWtusozRLNKRiM5YCoGUmtRMpeBwBxeaDsv855f8rEW3I25MDrWAVh+kNvon27XfrdM31d6lXvzGqUKO5DqnaQuXqdlalJkmq23GsEnocq8Y9j1eDbkery/AZqlS3pxq2Hqpq9Xvo4MObKqFpH02bvkivvvSBUrfmKjvD2nqu1a2pg/xcZlmQcWAKdc4VybJ6jUMY657nqC5AR7DkjSX7AC3AEkuOCYsjXDQ8/tyjN9B5HIDhQAv9s0dAa4dcWrs0vyjQ4mAH0snKzAhmtDasX6ONls7m5DT9tClVH3zxgy6/5X617T9W/1urlQ5v3lttRk/WyDMu0pizrtawhVdq1HnX65jL7tMRF92h3jMv1PD5lylp8kJVatVLf6vUQA1bdtYlV92or79bE+gglsx5v+z8oU4po1/93sNxxQ/dC7CKhuVKH8AoP0DL972i43nXdVE8+hnAKiF/HnU7/EoCBSdSBvUUznKXGtOkCZWWMUirJB9ev9yvWbPW+q7lKlOmbFCnyAaDB84TyN/fE/J43XHveYBXfFsUoEWfddtttwXtCH8GJf0em5Gr5zPqoml53eyKeO5hoveex9i8uvP4eb679KMUTdfTc/kIwJb1hdm5ZmdkZyoDOyM5Qz+uS9H5K65R83b9VaVOe9Vo2F11mw1Q005j1KrHUWph1KTLEWrcZYIadZ6gBNMh1Rr1UdkqrXTQ4Y3UsFkPTT9zid549zOlZHBYUm5wkNLadeEnB7KzsTmQCcpNPZbW+55QtDyUhYNSODyG1T0nnnhiMLhA+XhO+Ch/9qXb60ArtsBUHrNGGH0UlqVK7NHCuVAQ3oUj6vdrKPY97jFCGWmiY8FoZGQeAw2DkmVUgC32rnBcNAqYtb7sVwFEAb5Y2sTUOsYro2mM/nMkKlPsdFiUDcWEEqNSPf14zvO1P5HzDPK6cuK3l8cp1kWf/Yf2PsF/d8hXFOwgzyh3ZA/whOwix3QIGBUcOsHoDR0QYXmXK+0Boi1wGAajw8g3BgwzXLQDDq0gbjoSrsgC6aB8uY+6aH79N/mOypIrbwYuLrrooh0zWtddd92OGS3eIRz3kN/jz7vkCd3Bd7Q4ZteBVjRtnKfv/rsiCxEArTwDBCwd5DCAAjbj5mWrOM+MDeNzkRmK6amZWrt+s740g/Ti625Xq15DdUjdFvp7zeaq1WWoOk44XSNmXaQJC6/RyNmXaOhpyzRi2lJ1HDlFVVv0U9m6HVWxQUcNO3KqbrnvKX3x/Xqt25ymDZtTzYAK98Klp6cFfPJ8R11svv8ogj+B8fNLQMuIWa3tLAvk+1vsubIOcrsBrO3MZhg54GJpJoBrB+0Uz8/z8B/6fYRDpmhHyBltnr6Q9o/hvn7jVj346AsaMup4la/eQlUadFGDdsNVp90o1el0pJoNmKbmg2badYYS+kwxsHWiOg2dpebdj1OjduNUs1F/la3URg0b99D8ecv1zVfrlZ25TXm5lr6pLk4LCw3RPFqbkdU/V+o7kK/Q/rbbgILfJfn19sA9OowVJRxtjp5CR/lhGJSTq4eHvNzoDcJxMESTJk2ClSjonz0FWny4m1nbYvMLTii1/AG2guWDpjtY6pSRYfxM2aItmzdp4+YtWmvtevXmDL3+8Teas/xKVWnSURWad9VhzbqphumLbkfP1LiFl2j8OVdq4Kxl6j31HPU4ca4aDz5aldv21kHVG6lO844af/wpeuLZF5WcmiY+Bk1ZKKPrRNerTjyHuI+G4wrhjz2EHLguR/+fcsopwQA4e7X2bEYr1A0BUV8R8udRt8OvJBBAy4//Dz5kC8gK0grTI91ovikL/lwhnnFq5PLlF+rggw8JgBbLSpERf8fzHk3/l8id//a04Rs2H/0qq6A4cATeOT+9T4S8DriPxu1l2hX5+074Rd+PR/HCRONzv1gXDR99zj3lJf/IR2DX5rNHK0fJacnByZGbU7P1+LNvqHvfsapUq62adxypdj2PUfMuE9Wq5wlq1fsUteh9shJ7nKRG3U9UYs+T1LzPyWrW/WjVazVUZau10f+UbaDGbZJ09pKr9NFnq7UlNS/8/AenmW7ZajZKpvE238pBXTvYKpGTmLzHoygPKMvLL78cfHAa7DFp0qRA5qN15GX3+33l9gnQ8oI6RYEWy++Y6o0yxe9j/XZHntbuyIUGA5MZK5QuxMwWypeZLfLEcdNMLaJwMDYx6LgCwmhg7HNhOdZpp50W7OvCOPSRQTd2ScuVAuTl2JOy/NFEnrxuovmMUuxzfzfqonH+h/YNuUO+kGOUO/cYMMggV2aMWQaLEYKscvAMG5uReWSV5TMup4AnX6OPPzNYDDzQYTGYwBISlhe6bHP1dsQVmYjNo8sHzn+7/ECuwKNAi1mt6NJBiM4r9p64uOcgDQdaAEOMAk/fnf+OyuuuyEIEBlSBpVFgip2lg4Csbfk52m7326282wvMPydXWZnZSknP1OvvfaxLVt2mdklDVaN5Z5Vt0FqHN+2qCi17q0KLPqrUIkkVm/Uy/04qW6edqjfprtbdR+j4087SrQayPv1mrdZvTQ+OzN5qBhQfgc3OYWYyXK4Z5aO72Hz/MUQ+wpmnncFQlAjjFHaEUdpeXBQCLKu76MyWz2450AoN2ti4LY4d4C7kyX/otxPtyAcdMUghjmR/9/1/6rRZi1SnUVf972FNVL5+T9VuN0b1uh6nxknT1WTwHNXrO1MNks5Q7Z6nq+XQ+Wrad4Yad5+sZl1PVO3mo1WmSieVKd/c2uRI3X3XkwY42OweVjtLYtnrERySAgAPjvKHDHBZHQeGN+JeQtzH6g4IgMghBJz2y6wWy6MdaPE8+o47/NAb6Dm+u4XOAWixH5VPXMTjUynFAC3iMj8HWlzZ30nbLSzIDY7Gz8xIM1CUqs1pGdqYnqvvtmTqlY+/0oU33qH2g0arfGI7VWvdU1Xb9dbhLbqpQuteqtghSWVbdFeZJp10kOmS8o3bqHGnXpo8a54ef+55fW+AcGsKxmdGUBYvq5cXneHEc7/nebQ8/o4/83AYnYzyc+og+153dRhGLNkTo+hf6OfPdzhuHYU5lQCtUip9xqtB/CX59TqN5pnfrM6gH2F1A3XKnmTq2cvneQ+yUJKnXyJ3/pt0nKcMtmMHspoJUIc/RJ8Iv+iDuY/HN/w8707+vscf60dfiR/v+vtRf64O9vgdLTPEPf4ehz/3+DzO2HeIF4Dlg7JZ2VlKMZD145qflJVXGHwn8ZhJM1ShSjNVqd1JDVoMUULbcWrU4Rg17HS86YVT1aLfLDXvN1sNe56mut2nqH7PU9W4x4lq2v0YVUvsr/+p0FwHV2muDr1H65Z7n9anX6/V2k18/D49ODY+IxM7Jcfyh84gjyHYCvdr7czbXZGXHx7xzVwGoLHtAVq7+iyM3+8rt9eBVrRS/epACzBDg2Z0ysN5Af0eit7vitzt7hnxIDguPChsH83ncAuOSWXqHMON2SqftcJY5coIGmBr9OjRWrJkSbDeE8MTAxdBxGjl6mkg+F4uF2YX9nj53J8o6vjtZXDakzr5D+1d8rrAIVvIsAMtrhBgiP2CHNeLIQJQYq8VHQ/PkFWuyLzPUEHIK4qIezpYwBkHZCD7HIPKfi/eJS3SJjydya6Ut8uH+0ef8w7xsHQwCrSYMcZg8jhIJ/aeOLgHpLHsmM6V5Y4OtNx52lz3hKxFhqedcTVgwDeFigBYhXnG7HyzqOxqtM0MxWwzSrdsTtbm5HSt3rBJ9z35vKbOW6TETn1Vrm4LlatnRlLD9qrQoL0qJXRQjcQuatyur0YdNU0rr75DL731idYwg8VJhtm5Ss1kjxZHoXPMNkslfAQvzH/Uxeb7j6BwOqIUBEGxQCjeezsoalgZb3dQEC8zDiVk8ewUfzDjEZLVekBhWv/RPb+VvA3S1tEfEG1+/YYNuvOeB9UjaZwq1umkQ6t30uENklS7w0Q17T/TQNZ81elzhmr2maPafeerdp95ajXifNXrcbrqdjKg1Wua6rU5WuWq99Yhh7dWzVrtNemEM/T+e1+ZruHEr22mb/g2DsYhbTnfbGzknNMIzWgy4BXUPTJi/yDy6+0/qjvIL/ur+X4lfTInlzJY5M+jYd3hh96gv2ZAx3XOHgMta48qmaHlswbxgBYj78V8Z6iQD/+nK93ymZqVo/XsPUnO1E8GuN776jtdetudGnXSVDXu1leVmrRVmfotdFDd5gEdUq+FDk9orTqtu2nwxBN04VWr9PY//qkt6alat3GtklM2qcDih4euHyDnk+vjaP7d+W/nj7/PFWIZFUCLlT0sy2b0H/mIho1HFlsM8Vf6fIfjdiddYGTgKjz9hGc7E6+GRB7DMkbzzG+Iur/sskuDg5GoV+9Hov3H7vIfj6KO38TlBjmn1cEjlljeeOONO2xA+l+u/KZv9T6ZfhJyu5B72h8UvSd+71+pRyf387Lw29tuNE7PH2V14jfvRtPgt6fBFT9/7v7+LPoe+7TSM9Osr8pRakaObr3zQTVv21uHG1Aqc1hz1Wo0QK17nqyWpgsad5+qJn1mq+3Qc9V2+Hlq1H+e6vaarXq9Ziix73Q163OKgbEjVTmxnw6q1kaVG3bSqWcs0YtvIetmx+TkK91safhJuqUHYcCDPQdaOPhAWeDTCy+8sANo8S1dlsc63zx89N195f4QoMUMkgMtGvT9998fVCzPo8yJLfjuyN3unsFsJ5hOJSKsCBINgyUE5A3AxX4VNstxbPtRRx0VNC420bIkixkDpqsxXn2fC4CNRkW83sBIx8vhAk85vVL3F9oTRzjKEkuxcf2H9i257MB75NYVNfKGLDNggOyiSCBGe9nP5B2Bh+M3xLvEiVy60maEm++zcFAMI3cco87x8Mg5jrSJh7CupOKR5zMqK1x5RltwoMUyHjpIRpppT95G/OrhXUeQpgMtOlcHWlHnaXH137ujYDkQnXlJ2GJG0FjiBNAqKgFaeTlsNFFxYUFwFPbmLVv147r1+n79Jr38zkd68JmXNXfxRRo58WQNGHWMRhxxsk6YOkdzF63Uqlsf1EtvfKwvv9uoTcl5ysorVmZeodIyso0M7GYxepdiPM2wfPvoXWn+3UXz/EdRAIZ2gCOI3+YfIQ8b4x1QGAeZN4oYUjv8dpB5BvGb7ERA1nYZPwICaDGr8B+981vI2xNyFe2LaMtfff2NFi9dqcYt+6hCvW6q1nSIarc/Qk2TpqvNyHPVeMjZqtbzTNUduFh1BixW7aRz1XCAUdIC1e8xS837nqlmPU5T1YRRKlOxkypUaqlWrZN0+ZW364fVyaZztll7STN9hWxbm+bQAwNZxdvyTKwAWwa0AhkzQXDZMOd59PyTbwYz0U9lypQJDvlZunRpMBvvz13H8Nud6xD6aZYoA7Ig9OOeAS2TvR1Ay9IxPwdapGISqcIitgyY0WttONPackYWQCtb65LTtHprmtYb6NpovP4pNU1vff65bn74cc2/8FKNP+V09Rp5hHqPmqgjT52thRdeoZvvf0wvvP2evlz9oxmephfys5SWvlk5uamWBw4H2BloeZmd8It1Hi7KH79C7NHiUCQG1xgA3zOgZelZu4RonyFZeCNvp0FdOnnbt6oOCOZB3PuzGAqiMLIslNyHaXtZODThyisv1//8z38HfQl78OhHYvum0jzvnqJlxfHb+1r8+AwKp9bxkWfumSh47rnngtVNbCPh9Eb6IwhDnlkTZgvhL3v8sR8ZuOREYPox+kFkEPsTu5J+FnmmDABGVnlga/qkAP0zzwnnz/HjWWw/z6BEdFCV5/h7X+/hPGz0Ge2M8Phzz7P0jDStXW993o/rNfPMc1WlZgtVMKBUu1GSmnU+Wp0GzlKHgXNNH8xRE9MNzQcvUvOh5yth4Lmqn3SW0Xw1GXimGvU+VY17nqA67ceqTO2uKle7g1p2HabrbntIP21KD/rGTEuPWTTf14ms+YxW+PvndRePqHtkgbICtPh+HLYRtj1bDv6SQAuKBVpsXvRG7wUkXNR54XdFURfPn3tnKI3GBcorwAUUgUKgEXoaA42CGTiMVRoBz3iXRsc9oxf4I8jEwZU4eB5bec4Dz9v+QlHnfl5X5Hl/zfe/I9FOvC5clpE1ZBfZQ6GjQJiNZd8higVlHAVkfg8RH3Fxj/x6fCzNO/fcc4OOi1lcZrhoD8i2x0P7wXhx+Ygl4o3e+2/C814s0OLDo3QgHqeX1cO7jqDN0kGxdJDvaDEDjcKMOk+Lq//eHRUZ5RdjHlhYo2DPADNZUAC0cg1oZQdAa7v5FVjZ09PStcXa/xa7JmdkaWtGjr5evV7v/eMLvfHuJ3rjnU/0zoef6V9frg5OZ0pJN3C2FVBVoKwcPsJZpILCopK174z2Z9lvrjmW91JDKupi8/3ryOuBK7opSvg5lb4TIiUsHIxgI678jiIpIw8f4x2Q/bP/YjwZyS5ZLrTjuiN+8sPcYinYciNuz4AWycXz//cmlyeu4TeIACYsxcs0g/ADnXjKTNWo30lla3ZRww4T1KLvFDOWZqhx/7lqMPAs1ep3tuoOXqLaA5eqetIiJQxbrho95qp+n3lqOWChmvWZrYQOJ6pWo6E6rFIr1a7bQUcfN0Pvffi1snKLlZkV6pgCa0sB0OLbaQHtAmgZRe0C7tED9L8c6nPooYcGs/bnn39+YHT6c9cZ/HbnvzE6OQDLgdby5cv3CGjttOfQjDxOKAVoOU6wEJaGPSsuUKG13/wC2nGuMnKylWxgKzknX+vTM7UmNUUbMg10ZaTrx+QUfblmvd7515d68e0P9dI7H+ndj7/SZ9+t0eZ0A2nZZghbefJN/+QYeMvLTzfdzB6tzOAo9NDYhFmhjqWMTvyOUrQ8OK7uD18ggAB7tAARAK2XXnrFeG11VWRhS5o9r4fk8ZmODtpmOBASkqVv5O3U6zKgMLulZMyjycf6R/08TWa1wvswbfJPWcPloFcGQIt+hOP76fMok4eDcP7u7sjDc4/jnr4OucPNnTs3mNGij2XVB9tKGIzkaHlWknDwFMQ9W0x4zmdUCMOgIDZvUlJScMw421WGDBkS7BtipdT48eN15JFHBn04h26wH4yliqeeemrQB3NiMATA4xC2hQsXBh+hXrRoUTDAysEw9KPM2jKgwJUZPmT+hhtuCJZVcpgbh3g4MYjq5L+ZqWPgE17SR0MXXrjc0jlXc+fN17yFi1S/URv979+q6bCqbdSs4wQ16niM6rWfpCY9Z6lx73lqbPoicdBiNRm6TE2GLVPCkCWqN+AcJfS3Z6ZXEvucqoZdj1XVZkNUplYnla/bXlPOOE9v/+NLbU03mzwLG4NVM6YbTBDop2hjHIhhNblTne2KvN1jM1CHDrTYIsT30Dh74S8DtLwh+z3AZebMmQGq5MQwvmTuz91F73Fe+N2Ru135OTNJyw03yI1L94dgvvv7vRuYGJt+pfJQ3tz7b953ZUd6XKPkeYtH0ffIj+c5SnsSD7Sn4SDnUZT8/T2NY3+jeHk/0MvjhgRyhnwgcw7yGdV69tlnA0XOTBQf5AaQEIawLsd+JQ6uyBjx0pFAyDajZAyA0Anw+QM2RzObSzq852DN8xPNI/HFk9voc/Lzww8/BB0DB2GwL5IPj2Iw8dzL6nER3tsD6QLS6KSY0aID8xmteGnuyj9KwUliRvTvgR9lsrTCJUNsMDFiuYJRYV6ucs14ys0x/hkv8+CnGa5ZZkwlp2YElJHJ1/MLgmtaRq7dW0edm69sPkhcQBnQNWF56DiCjzIWoYMYFceIKtUDIXFfarzE/vaw0XcCXhNPEKY0fHB8csn+mBC4xFJJvPYuZBEZU4z8GtwbX0vI09uRbukj+20UVsBO7wQEwCJO8gyVxL0jr2aFOVnPEVCYPw8D/Tx9+1dCdm/p7KDgmb8Tvh/ymb7Hebm7eA9scgfLCwsYeGR2eJsy0rP02KPPacz4k1S9XmdVb9xfTbseo+aMOveZrgZ9z1CdvvMMXJ2l2oOWqNbgpao5cImBrqWq0WeBGvQ/S4kGtBItXNPep6tJ5+NUuXY3lSufqG69R+veB58LNrjnGrDLCY6IZt9PybH/hZABLWvbO+SCrJZcvc2Tf+5p++go9NwhhxyyA2hxijDPo30v5I57njM4irGJUcwhQbyLHorl1c5k8gCoKQFZQbsyP/RFQJbRQH9YOw4NwVJAVmBp5lme8oqKlW5G48aU5GAZYAont1EW9IbxJYMR/NwCA6R2NR2Rz4e9iywN0jLZLDA+oRsKDMAxGBMuvQzbMHvcwo+5RmlnwFValhKGmAO44Dzshx++r8mTTzagFc5ovfTiq9Z3WDolYCggmihVYxTwgbKSh52AVthmjStBmqUvWWIQ1RIhf+zPgt8R/5BKdRtXlwuIvurKK68IPvXBoB39CAN2PMP5O5D/3h2FyxSNSq74MSjBh9b5fcEFy1S7dp3g8I2KlSqpmoGuSlUqq2y5cjrs8MNUoWIFHVo2HARwKmfPWOrKFcKP2ViIfYaANif6W07+ZbsKBKgD/AIOmEVj4JN9dFyRYf8GJvuq6Uu5QpwcDPCEJ/izf839d0V8hBmQSPsgvL/PFUpIaGh2ez01btpa/3doFR1aPkFVGvRQE9MXjbqfrLpdDTz1PkMNkhaoXtLZqp10jur0X6z6g5aqnumOegOY2ZqvBNMVCT2nqUGXEw2cHaHKCUk6qHILde83Xvc/8oLWb0pVXn7JKhbq0YSBdhjItrUHKLbe4hEyQL2jF7Br2EYxbty4gH8TJkwIZh955uFdxqB96fY60KKgFMQVIEYes0SzZs36RaDlhfWC700ifog8RfNIPqAouILcsMTI9ClYKg5/rvymAyCMl8PT8TSgXZXLf0fDcPX7eL8hfy/6G8c9YYkv+vxAIXfxnkX54C7q78/cLxou9vmBROTblQIyyD0gy9eI0+GwPwtlSdtivyGGRXQQwa8uyy7XyLvLMleecTAGM88oexQ1I2UMKnh4iLhiZdZlHReb/+hzRpIZMUOhs7GYpblsbPYwnl9+e765J33e5SPMAC06BpZseHqEccdvv/42olwhYYyzkb+AQzFKyg4FvLM8wbvUtHTjUbrxDxCKvkPBcwAPe7AwlCgDRiNxhcZCaXnD/Suh0b9zPhwQAECwRrj66B7Po/EUG4AJjAV+Wzj738j4aEYQIKs4AFgh7RiTN/8AUELcA2gC49LyYvHE5uc3keXpZxQv3A4q5X1I8AUK+RAS/tRvSDuMOQgxgHZssLcf9o4Pl8OXkIfwvDTOHRZl8M7uKX6+/yyybAcU7xlkxabkVjwGiQOwlb9d2Zk5uvuuRzVk2DGqUquDajcdrOZdj1WzXpPVlJHnQfNUp998Ve2zUNUHnKfqZjDVHHKBagxYrFpmODUYvEgJAxeooRlPiUkz1aLPqapjcRx0WKKatO6jxRderdXrNocfAzeQFQCFwlwVM7PFsiBrE4YoLGNBtVgBYH/IX2//OO7RTQwcAbQOPvjgwGBlvzR6A9knDBQtN86foQ8ZsWe2AQP1vPPOCwZtouHjU6i7dhC/Y8jT3hm0h+2wyNLPN10RLhPmo6+mD/LMtjC/HWR8yDNjPtf883gW0bEhcZ8fzGaFyy6dDADsoFCeXR+QPo6LkzsHEeQZwPTBh+/q5FMmmVFf3YBWb7388uvKNqBlTSNoElwD0BVWRxD/DqCFPjH9EiULTShLI9pWY/m65+S8j9Yz9yyxY7kg+3UBBfRTDNjxjjt/FxcbbywBsIqMNwGZXOIX6nLAVqGWL19h6TQzAFRDQ4YO0/QZp+u006fr1KlTNG36NM08Y6amnjYlOCyNLSf0w8wUsiyTGSpmqnxLysSJE4MrM1nMajGgyUoN7GJmvxhEdHIQBCACYAG0OPAKAEf/CTjyg9wAEgAziN+ANQdu8Qhgx+CsAzzehwB4DvLq1aurBvXrqWFCI9VPaKZDK9TRoVWaqkKDnqrVdpzqdTOg1fM01eo1S7X6zFeNPmepWu+zVT3pXNMT56tuALYMdPU7y3TFPDXoMcOA1ilK6Hy8ajYbqr9XaKGEFr111aq79MNqVraYDNOXUQclupZ2xKBGoV2jdbYr8naArGDTMCDLlgj4wSea2I9OG3O5cBnZ126fz2hRqCjQ4mjm3QGtvUmxcfKbiog2XMiNJwy6WKKyMG59FgFwheLnHuI5ceBi0+A+Sjx3F82Xu9j3IQ/jcXi4WIq+F+/5/kxR537OL7+nXO7nzp9B7vwdd9F3/NmBRC5byB8yCuDiHgMEwMUHFF0Rn3XWWYF8Is/ILlf4Rhy8Czmoggjjcs+VDozj3lHefnphdImOE7+drxD38eTO/Z1YnksHSX7pNABdLMP1555f3uXq6ZA3gBYdE0CL91GY0TTc4efX30vOL/LBb9Lit88Ccu9EWOeP8xR/rrxHHBB55bf7heWFl7GE/85UChBK8xiWH3KgBVlYAydFZogVFlv+GQkP3kOW4FUJ8dupxEjCqorG/+dSSdkZLbc8hr/JH/UbZDU0AqnyKJUY7VZo+005w/cCA9mBJM92Igv/s/d/TvHz+WeRZTegeM+g8DnFw2AuMvuCrYeZ6Tm6/daH1DdpvA6r0krVGvVTky7hjFbzAbPVdOhC1R90lqr0WaCKZjxV6b9Y1QcuUbWBBrQGGtAaYkBr0ELVY5S6zwy16DtVCe3GqlzVNqpRv4OOOXmmvvp+jbIMVGXnZSqvIMuAVo6BLIBWvuF6MkPG4HXIcwda3j5wtA/aD/0ts+vMaDE7EAVaTl5m3uWKH+8zUMSR3CzpAmixPJpZ/1Ie/XbytD1Np7BNhvrMdYXrWyd0g+vh6L2HjeqU0pks0yUlIGcHWbsOyduG8THG4QXBVvIGgAuB1js66eTjVb1GFQNaPUynvq6cbEvDmkwAssDDRttKABrtL9hPWpJ2FGRBrkN2tNuS/PxWIq/OS9eVELNXDrSY2WG5HH1XtB783Wh8sc+cGAQDZPmMFoNWDrJYSnnOOYssnRZq2LCRli2/UJ/861/67PPP9PG/PtGndv3i6y/1r8/+FXxUn+X2bJXhM0EfffRRcOAI+7Yw+H0/F8T+LgYP+KYsp3Bz0i92MacaIq9cWfLHkj7KR1/JEkMAEH0zYI2+miV+zNJycjBXlhMymMDyQuyBX6IFCxYExD1x8O4OWrRIyy5YqgtXrNSxx5+q6vVa6v8Ob6RKjXurTscj1KDnqarTc7qqdpuuaj3nqnofA1l9z1WN/ueZnliiOga06g48X/X7n6uEpIVq2Gu2GnSbqkZdT1SdViN1SBX2enXWoqVXGD9/UG6eyTGyV6Jng7qhfZns0rfF1mM84h2uyAltiC0GgFuAFks12YdIuwrbRRj+j3B7HWjhvEFQCArF0kHWmAK02F/hQIuCunMGRZn1eylePPiRN9J3ijWQYhUigMrBFkrfwZbf8240/njk/MBFw7mL9y5+0WfEwX2UPGyU57FhDjSiDNQL12j5Y8O5v4fDxQsD7e7Z/kxebgAW8uggH5nDiKAtMbLFND8KExlFDryjho8uG9wTh3foHgYZdvlGwWOUcLoXp/WwdyvaTgjP9ZdkzevF04Y4uINlHuQXoEVHwYfBPT7PK85/EwfPAWkALZaLMNuGwvT4ubqLl5ffSpQVXkXzB8+8/XPlt+sJvyc85P7+rsfj5OFCIwmKAopScmOK+9CQcXkOLvYsNBBKgZaRxVlk7xSatVQUjHhHgQpUEr/H61QS//5BJXncU6Dljp45oJLy2TUYKWXp4i6o9J3dU/x8/llUwoed/KIUPsd4CYCW2cKGfZSanK1bb35A3XuMVNlKLVU1IUmNOx+tpr0mKzFphhoNmqt6AxeoqgGt8r3mq3K/RapqIKvagEWqCdAavEgNBhrQ6jNbDXufruZ9TlVihwmqVKuzDqvcTL0HjdOHn3ypLJP9rNxMM6BMXxUAtKwt5JuBXkiGqKdSCoCWZTaoJ5Nj8k+boQ3S1jgMw/doOdCK6hcvM35Rf/QmOo09MwAtDFC+k1nKo99Onobn18nTJ//oAIhy+D3kOtj1sP9GpzjYCvWF6YcdS393DbS8rYQM3dlZliyMUyzQOlbVqldQj55d9cqr7NFiYMl4X2jQqQAKgUgI9ki/NA9RkAV5pe5ot0Fb3Zlnv4a8LuEj5Pxm8A/g4ce7sx+J1R3O9+h1d/F6HYVx4wd/qFdWUdDXsVQ/R/PmLQhAVrVqNXT11dcajzj4jGWi1IvxyhpYYbAyYWfZI17qMFr31LX3oe4fLRt+3mf4b/plgCSHwLCUEKLvhA/YAAy48hyCD/SpLK3l+a4IsOoHbNCWCM/77H+D2PO2edNm0xUp2rhpi264+S7Vatha/3tYQwNJQ9S094lq3Pc01e11uqp3n6EaveerZpKBrH7nGdA6fwfVTFqkOknnqKEBrQYGtBp2n6bEHierfvtxKlerk6rUbaeps87Vux98FuzpNFEL6sHrCd6Y+AZ8jq3HeMQ7foW37GFnbxZAC3uGPVv4R8P/EW6fAC0y74RAgfDZ0AfQYno0OqNFYXEIlf/26++lePHgB7kgO5EfbxhRQtBRfD6D5YrRlaMrxHhpRClaXtLz+P255yMah/tx786fx4bxcNHnBypRFucPv91x72WOlvWXyu3vHmgUzTdyhyy6kc89RoQf7Y7yZbkCChP+uMJGqTgv8XNl77ILEV/4bZ304AROjohnHTnLGTg1ibSjcXCNynMs4e/15ER4wBLLPBxosV8L8EV8HoYrzt/nynPeRVECtOhcHWg54Tzt2Pz8ViJ95yN8ivISnsAvrvg7L7mnHE5eNq7E5WXk6rwMQRAdihtUpYYTRhTGVmBwlRhVvEP+MIDCfMIr45PFyZIkllkU2e+QuA/zUEolxhnXEgq+e4Wh9juNo71LJQZbALRK7h1o0RmXUNATR10AiiwcZYRnlBFesSTFeBJcjYpZqmL+wTPzD9/bNcXP459JVvSA4j2DLNtWLKvyHUCLjwlv2ZylO29/VD16jVL5Gu1Uo8kAJXY9Rk0MaDXsNVV1+8xUnf7zzFBaqMpJzGida0DLwFb/c1R9wNmqN+hsNeg/38LNUsM+p6tZbwNa7Seoap1uKlOhiTr3HKbnX3lbaVnZys7LCg52yM83HRIALZPd4Hx06snJ8gr/LcPR9uvtBz33xBNPBKcOxgItJ3/HfyPnXOmz77777mApFh+c5TABTn/z8LuiPXGeFhR91/3IA/mHovogqoddR/u9/yYM74cyb/LrwGonKtUJpcz8ed6DQZgSIl/BcsSiPANab+mkU44xoFXegFYnvfLKC9YXZFjalsd89BN5R2exXNGAckC5lm4ItvY10ILggetM5yl9HH0HfQF7kJj1of/iuYcNeRfyIjZOj6e0PqifMH6WDrKEDaAFv1jSuWDBWQa0ElSlSlWtXHmJgZCtys7JVYG9y+AWSz6jdezpE18s8Tx6Tz17v+Cy4u/ihyzQz9AGkHtsaJb7ATTxQ17od7ALuMamsTuKphlLLqMFVv60tAw99sSLqlQjUYdUaqoazfqrQeejgqWDtQ041TIAVbvvQtXuv0i1+i8OQVa/81W932LVNGLfVr2+81Wvp+mLHtMCPZPQ+UhVqN9Nh9dqraNOmKlXXv9QqWnZ1odRP2GdBXVE3xRK1c/qMR5RLr9SBg584Vh3gNbQoUOD0yLhWTT8H+H2CdDyQkBUGlOqc+bMCYyrPQFae4vixYdflKL+u2oglAEhdmOXvEeFlHeiaXh8Tjz3sBAC7PG5cebkcSMMPmoe9ed9rsTJ1Rsq/qQVm48DgZxP/ptywRd44PXhPMQPosz+jHecL86b6LMDlaLO5Q6+OOB3YMRpg6yzZg0ywIVw8IMwKGNX1MiT8xXiuYM2rvzmVB7Wk6PMOT2J5Q6873IGOa/hb9SRZ/ycvB68XshbLNACQBFftM5w/j5XnkeBFu/70kFPExdN35/9XiIP3l7Jh8fvPIu2TcjzzLvu+B37PPoOG+kxVKIjxqHhgh+8hu/hoRlcSZd4qC/eJy9BHq1Os7INOJcQpzilZ2TZlboFCFLvJXWIcYEhlW/3RtwDOCzBn/HgzyO3xrlGjTd4Wkr8LiXeo46Mt8XIqtUPZOXbXmDvGm0zKswzPZxrvDB+BOUvLK0PryOnvWk47l2KljlKnmfaQ4mRbbY4MxQ52cUGtDL0yMPPa9DQo1W5TkdVTeyvxl2OUlNOBes9VbV7TVftfnNUZ8g5qjH4XFUbaDToXANcC1UtaZ7qDligev3PNKA1Qwl9Z6h5nylq2vEIVa/XQ4dXaaEeSaN138NPaVNyigGtHANa2QbwcpRv8lls9bBj2aBdQivK8svsY4S/3kaoC3TXo48+uuNwAZZI7Qpoed35lbaCvYGOBGjNnz9fX3zxxY7wu6NfcrFpR8mfkY9dkctbLPFsp3hN9ncGWEYlACsWaDkP3XFPfL4UjivfKco1APzue68a0DpKtepUUJ++nfXKa88qIzPZnnOKMic0m87hwJ5iAJbpnO1ZlkKOpf/HAS344DzhN1fqfuXKlTuWkXPYCbM6PPe+xPkXz/GMcOjBsB+kT0SHYueh60MKBq8sHMvofI/UypUXa82adSZX4awWxLvGgJ3qkPecSMd1NOnF+hOePDmRf4+Dd5i1os/n0wTsSWP5IP0otqEDLK70B9Gy/xI5TyHeIS/E5TZCjsWZlpKmrZtT9M67n6hG3RaqUr+jKjboobrtxqtp0mlq1HeW6vY2XZB0lur2P091Bi5RzQFLDGgtUa0BS1Vv8DLVH3ie6vNZiN6zlNB7upr0Nj3TaaIqNOimstVaaNSRk/XsS+9oa0qWlRkekB/aCHWJbMfTcbsnykZ5Pvzww+BbcSy3HDx4cHB6KXyK8sjj35durwOt2MwjMByVPm/evEBQu3TpEowwwQSvaNyeCsevIeLcVbz+zF28MO6498YRjc/jcHL/6HPKCPEuwkuDQPnTcDBgaUR0JG70IuQ0LsIRBj9/x8N5QwiVROnyA2+wsfnYn8l5F2308IryQvAiMCKtzM4z+ABP8Pd6cX54eH92oPEjltxRt/AIPjhoQnb48jmHRLCxlZkoDrTgGbyAXywD8CUFbAzHjzgg5AY+Ou9ok3wDhC+oMwLEKDDAi3fgJ88h+BptuzjuvS69PiHy7QTQuvLKK4POkZG56IyWv+P15e/ymzSjSwfZJMw692i60Xuue5Ni4+S3548rfu78ub/jLtbPw2GMhAYKBhTHYDNinFdiuFB+5Bt5Dg0frhkZ6UHayAEHdYS6wmQixzpeq9OMzOzgkI4tW1O0eUtycGVUMtP8s7Kod4sHwIVxYQZFPod25JWAEWZ89iOwheH2S0ArABIACvsRkskbIKvIdClHbwezKcbffKsvI8qcY3zIMn7kcJqktYVY+Q7rNqxfDNkDFWiFcoqxykEY25SdVRgsHXzt1fc18djpqlK3k8rV6ababUYrsfdJBpymqHbvaaqdNMuMpoWqOfBs1RgEnaNq/eYbGQAbOFf1+5+hun1PV0LS9OBY+GYGtGrU76GK1dsoafCRuuv+x7V242YD/CXGoMklfC8yQ7/EHreMc6UAlteAx3iG5SHfIe/58HG6HnnkkR0nuEWBFmH96u/x26+kzWmq2B3sPeWobgZ+Pfy+JvIQpd2F4T6eC+uTkf0IBfVbSjCUKwZqaVxh3MgzwCE7C+M5L+g3kpM36aVXntbxkyaobv1K6j+wqwGtZ0xvbFJmlvUTWWklR8zzCQozgIszrKoyLcY/bkYLR/69H8CPe/b18uFpB1rsZaJMPI/2TR5H1OHHc9q721wZGaxWwibj21LYHfhn79AFLNlDdurUqa2LDOCtW7ch4Geu6VHC52Sa3jaA4PoDchsk+pury6WXy5+TDuTv8Yy8Es77/MWLFwcgi77eZ7R4RpyE9/c9nV8i56mnw3tuTwY60WyCItObuTkcRrVR9Rq11WHVmuvQau0MaI0zwDRZCX1MB/Sbp4SB56jh4PPVYMgFqm0AqwazWf2XqO6gC5QweLES+i9Qgz6z1bjPjABo1W0/XmXrdFEZi2/kkacY0HpXWwxoFUSAVjiIgEyF+fO87gnBD3jBihyOy+eAD04tZmAanRCND8fvfen2yWEYnnmuVChT9ewf4aQURpbuuuuuHcLk4WPf2xtEnE78dhcN4y6enzv8iIOyuIuGj5dO9B1vBFSwf4uLK8Yv62QxhjFmITegeQbRybhC4B0HGvwmPPf+G56SXjRv+zs5j6L5psFTJvgAz7z8/HYeUHaeQX7vSsJ56UrIXTTdA4U83y5HrnSdH2y2ZVkuIzYsIWQ/Amu0XT6QLWTMgZa/G8svfgO2XnrppeBEJE4g4shfgBvPkC1X4tF26/lz+Xfy/EaJAy38MAyAlu/R8viicoAfbQZ/0o2eOhgFWp6eu2ie9hZ5fDhPL14YHPc8pxzRvMWG3fk3MmrGi8LlOQCu7fbbgRYAKy8PwAAg4HAePmJaHHxMMjcXnZJi9Wt1vHVzQJtZY791i4EsKFlbk1OVloqusLrOyA0MrjyOlM4tsGuecrNz7Jq7HwOtkELDDaIeQgJkFbLcBzCBzBlfWCpZUGRgstAMfDMU8/KsAzcgyf4gQGW2yX96arpSU0Jdwkcyg5kXjvE3/uYVGJ8LGc3HYDGeMGOwFwzHvU/I0c6yFBL5DNtR2A4Z6NumvNwiK7vp1vQ8/euTb3X6rHNVO7GHDqneUZWbDlJCj+PUqO+pqtNnqmr3naE6A+ao5oB5qjFwgWoOWqga/eeqVv85qj9ojhoMmKV6SdMMaBnI6n2yElqPUpWanVWpemv1HzJRTz77mjZuNf4yo2r6JcdkDHkrKjBZpzqp2qB6aS8hcPB2xZX277qAOuLAAD82G4MToOXl9fcgf8fbH7oLoMVKGma0AFocWODh/ygiL9F8QnviwrBen7umsH2Exmm4NDj04x79yaEOHN1O/W8xnfDTTz/o0cfv15FHjdgBtF565XHTH2uVnGI2SfJGA11mf2SYbZKVbG0jNQBbfzTQoh69H8AhF/QZAC2+qcjSQQda/jzK51jHM/ow70fpE0spLbQ5rE/kpMjs3CzTBzm6YPlSJTZtrGrVq2rlxSuDPpWj37MyspWyJTUAWgzc5AUrBkoHfEmHvJMn78/wdz+e89vzDFFeyMNTBq7IMbN4zKwxCErfSf5Jy+Py96Pl3x15mpDHQXzwJiDjQ34wKFdoNmuO+g8ap2r1DGzV7KC6bUapUbdJwZHtiaYXEgedo8ShS5Q4bHlwrHuNpEWq0XdR8LHzRkPOM6A134DWTCUmMaM1WbVMXxxq8ZSr2Urjjz9Nz736vrakGrgtsrYb5KlErktkO9QR8csRjygPvMV+4ZtkAFQGoh9//PHA/oFPOMLi4MG+dH8I0GLzKWuj2UcC0MIYpEIRIA8ffQ/H/e8l4nSKdfHCRynq+B0bj/t5eH/u77qfNxqIDscBlH/tG6XBhkQaOH785pRGZhI4rYbRN9YkA84gGrkDNcj9aXQ0Dm+cBwrBI+eP+9HgnR+UCzCAoqHDpcw8g7j3GRsHEFydJ/AbfriLpnugEM55RFmoYwdG8OObb74J1qhjRAC2OJ6dE488DHyAR4FBafxxHjlfUUZRHjNyjEIiLtY0Ez/+pEubpW68rtxx7/LvMh+Ve8/7roAWYT0O7qPl5Td5dKAVO6Pl78Q659/eIC+L59Od30fDxj4nfziukD/3ZxgjpUAr20BCdlyglZPD8r+QUlK2Wl6s80vdoozMFK3f8JO+/+ErffTP9/XGW6/qvQ/e1b8++0Tffv+Nflpr+mWjATAzrpK3pik9LVtZmdaZxgAtiFmf/R9ohf6wNZjJMirgKOaiQjMETWZKQFYeIKvA2kBeuhlM6WYEIcMGqLIwrpK1ZfNmbdps4DR5q1Iz05SRY0A0x3hjYfj2Ux6zYIUMXJk+LQFadrMj/f2DkKNQlnYm8hnKKjIbbNxnyZjVeVZmaGyv/mGDFp1/mVp2HqJydTqrYmI/Nex+lJr0P1UNk6aqXr/pBqjOUO2BZ6pm/zNUy661+5+penZtPHSOGg2aoQYGshr1OUWNux6jGgn9dHjlNga0WmrgkKP0wT++CL4pl56RGehqZg/jAi3LZ2hEmayX5Jl2EW1v6K4HH3ww+AbRngAtHFf80Xc+o4WOZAvDngIt3t8d4eKFdb9feu5h3MWGKw3v9bl7CkEWOjMk/Ph8BHqbWZrcHOs/corM7tisL7/8VHfcdaNGjh6gWnUOV1L/TnrmuQe1fuO3pi9Wa9361YFe2bR5nYGuDVaXW5RfkGFGMEArXL74ZwEtVkGwjO6///u/dwm0os7jw5/nIT/CgWv6xqhNxeAV7T89K00pmckBnb9ssVq1b6mKVSroootXKC09zcBHvjLTTbZT0gKZzkzPCgavHGzRZ0H0l06Ug/Q9P9x7H+d1DfEMP+JxP/pnZrEaNmwYHPEO6KJfJlw0rPfP/t7uyJ3H4eT5Iv/0D5npxo+MXM1duFSNW/TU3w5rpLI1uqpZj0lqM2CWGvacrkZJc9R0yCI1H36BAaslqtt/UUANBy9W4uBzlND3TDXodZoS+05VYq8TVb3lMB1co50qGnA7dsocvfjmh8FHiwFaDJZxmJODLK6hPO8sH7sj8g9PHGhhbzCj9ZcBWjgyT8b9yowWp/2g6Dj9h+9awAQXCA+H4+p+BxLhYn/jKIsLL8ABUMWJLn7iC42cqXBAFUsq2fCIYPD9Bb7JwJGbfPGbPSm858ACsIZy4IofhjU8paF5g3E+4jxffwZvvU5j0yaP5DmqJLinkcAryuQAikbP90845peOk6+fwxdmRzkilZkdju113nBFcRKXxx3LFyjqonnbH4h8IjfcU37uATwoWIjy0enAkzFjxgQfPsSgoH2xXNdBPZ2QAzT4yXvIDnHiB6/5DaDnBCe+3cHsM1+i5xnhSY/w8BPytuuOPHpePe+Eg+/Oe/JKZ8EJiXQYvnSQeAnv5fV6gvhNJ8PSQY5n/fvf/x4chsHxuJ5ONB84z8OBQcii8S0AVrlG1hYMaPnywe3bw6WDzGixUX3r1k36+psvzBD6URs3rdE/P35PTz71sC5auVSnz5ysSScfrZMmH6+F58zVqhuv0bPPP6XPv/w80BHpZhhA2VnIkFFmTmAgpKWkKsNkpKjA6iEYDd+5ncbyNPb5viQ33MI0S9NleUlRCchiJguglcd3hyxsenZ6YCBl5hqAMtqwea2Bz7f06OMP6dbbb9ZlV12qK665Qvc+dK9eefMVffH9V9qcvkXJGalat3m9NmzdqORURq3D5ZrbrJP3Tj9Me2d95vz5I/kSEunGyjt5CA1d9va5gQLYyqS++Zi20Q/fr9NDj7ygscfOUOWE7ipXv5vqdx6j5gNOUpMBk9Wg72TVNcDVcIgZSENmq96gWUocNkcJg2aqxcgz1XzoDDUbOFXN+5+iJt0mqlajvipXqYUaNO6qI4+Zqu9Wr1eegTtm09AdGSZ3jPrvBLQCvoV5ZVDB6xc+RvU0OosBIIAWs1osHURXedgo33mPaxj39iBtQBozWmxd4PTjP2NGa+9Qad3GI/SEDw4gu9wzMJOZGW5R2LwpVf/8x2e65577jIeLNP6IEWrcpKbKHv5fatK8hhYvOVPPPPug3v/gDTOsk/X9D98aoF1jdsdGA1qpVpcsxWUgKARaUPG2cHYrAF6mx7y9hlRaL7sjd/7b6zS2Xt2PvgA7yZcO8okT+iie0ed43wF5vB4XfoRFprCnsL3WrP3JwOUGpaabf1a6fljznd587w3d9cCduviqlRo+bphq1K+uMhUO1YJz5unHtauDfYfBwO8W05u5xcrNzgvkm37WBzPpt6L5iS1bPCKM55l3uXofyL4sZrQ4qAqgSTo88/6VazSeX0O8QxzEt6Pfxuawa2F+oYHtdL3w8jvq0nOEDirfWIdUa6+G7ceHHznvOUVNk2ar+aCFajroHDUaeLYa9g8pYcDZaj7kbLUaMs90xQwl9j5Z9TpNUOUm/VS+QRdVqt9WC5Zcqn9+8YPpX1YTmM4g/4GSCPVCoBt+xYyWl4My0Nb5vhkDx3yzjL2e2DzR8Di/7iu3z4EW5ECL41UBWoxAIJAww8NxxXmF+7sHArmL5xcVYB9FwXh10ERD50QljFpmEhitx8gFlGLwshwM45mTUzCg4SXGM8LiozA0QoxVeOp8JU3nLY4rv93vjyRPNzbtaIMg//x2sEi5KCcdJXxiBmPZsmXBUZ3wCb4gS0lJSerXr1/QmK6++urAAOfL//AYZQc/iJs4iT/Kl1j6M3izOyI/8Id7+MI95aG+IVfozIACyP3DhQB0jjFltgje0cnSKQQjy/YOVwwV90eOGCHmJD8+tohSQvZuu+22HZ2SAy3y4ET+3HlenYdcUdhR3gOqAFd0Fsi3f7DYOxTI4/Z64p6y0rly2AcfLeXbKeTV0yFs1HlcBwbBryjQwnABbJWMGJcArexsAPFm49eP+uLLf+njTz7Qgw/drcXnz9cRE0eoa/dWSmxWW/UTqqpxs1pq27Gp+vTrpqOPHa9LL1+p995/J6hveMmhGMwwMCKbzd6E9AwDWmZIWTrBKX0ldQhFnftFn+9rKjXcdk4zCrSYyco34zKn0MqVn61kA00bktfpq9Wf67nXntGV11+mk6eeoH6D+6hj9/Zq1q6ZWnRoqd72+4Rpk3TZDVfouTde0Kfffa71yRvs3U1KyUhRVg6DV2ycNnk00BLuGwjlLZ4e+SP5EhJ14uR+buSSRwaZaEvhKH64D8X0Rmaetm4xvfHZD5pz7sWq17qP/q9KM1Vq0ltNeh+l1kNPNYPpVNXpdYLq9jUgNWyWmo04Qy1GzFZCv8lq3O9kJfY70Qynk9Q86Xg16jRGVet1VdkKjdW+80BdfPkN+mntRuXmF5hBirwxm8KsKUDLDKc9AFpO/KavYzDttwAt5J2TWfmsDEBr5syZwSnIHv7AIspZWr9RioIrALbLLQMFLDXmMx2PPvq4Ac056t2nlxKb1Fe9BpVVq25ZVar6P6pY5X/VvmOCJk85SpddsUyfff5Ps1E2WN+QrE2bNgbX/Hz6oFJgBf1RQMv7BIjVDRxQAdDiYKT7778/6Kd4Fu3nIY+Pe7/S32EfIEP0kes3rNfW1C1at2mtXn/7NV185UodO/kYte/ZRvWa11GVepX09/L/p7+V+18NGN5fV153hd58+w2tXfOTtmzaoqz0bNOfpfvpfUCTNhcvL79EXuYo0KLfZxCUQUo+vcL3skiDZ4TjPcoeG8eeEu+QR4+PuCBkiUMx8vOK9M13a3XMpBmqWretynFaadNBatT5KLUwsNUy6fTgY+cJvaYroc9s0x8L1MIAVrOBC4KPmjfpM1Ut+01RqyQDWh3G6NBaHXRQ1WZq3L6vrrv9QX39k8lYJkDLeIXclACsUqBVaiP8Enk5yD8H30yfPj2wi7ATGbChfnAe3u/3pdtnh2G4YEEsHcQQxMDiJLObb745UIAww4WCK84r3N89EMhdPD8vD5VOY6Fx0MgxgGnkHDc5derUwHhkwyVLK/v27RvskwFcMd0J35gBGDBgQHCYABv8iAeBgTBm3aiFSA9y3kYpnt++JtJ0ivp7HuENCgo/7lFQlC/4loOR8wgQyhQwgL1nz57q3bt3ALZYPsAsBwCMQ1cYtWB2iziIF77vih9O8fK3PxD5xsEX7p0/lAninplR9jBQ/ooVKwaHWPAhQ2ZJAfLImxM8oaNB9nz2jzAcggGQBdRz4iDyx/vIKWnAR+84orzCcY9/bHt2he0dAWCJfCHP/kV/Zna9jLxHHE4eL+Xk3XHjxu0AWuwl8+eQ5wXH/YFD8AugxUcU84wwWkLjhc6GZxhPGZlpVk+r9f0PX+uTf32gm26+VscdP169+rRXq7b11alrE/VKaq2kQe3Uf3AHde/dUs1b1VXdhlUsTGctWbrI6vhNk4GtAT+zzOjOyjAgwYlbpouzMtNDoIWBVFKHUNS5n9fxH0GBVR7HaAvkq4ijlQ1kFRUq1/KeU5irzPxMbUnfpE+//UR3P3qXps+dpp6DuiqhZV1Vqn2YqtavpGoJVVTJruXrVVAtM6R6DO2lKXNP06q7b9R7n32otcnrLY6twfIhjNdi5NFkGDmLylwsH/5IvoREnTi5H7wqJQxwDkwJ6jyLUXgG6NKDJaSbtmbqgcdf1vCJp6pi/bY6uHoLVW7aSw27jlGTvseqUdJxSuh/our3PUGJAyer2aBT1NiAVePeR6tl/+PVyiixx1jjYV8dXq25KlVvqjETTtQb7/5DW5JTVGBGWnY2I/smZ5Y+h2FwaIADLfId8EyW10DWQ/7h58Tv3wK0nCg3ujEKtPiuZzTMgUWUNUphPUdPJkVm2bvJiaUF1ibYj/XQQ/ebPXGsWrZqbiCrnlq2bqAu3Zuo74BW6tOvuemPBmrctKKatqipYcN76+prLtY3336htDQGPFlelxzYbAF451j5PxFosWoLDgwAAP/0SURBVLJl0aJFwR4tBgT52K8DLbd/ou/7e/zmyuCiz2at37heKenJ+vK7z3XrPTdr8oxT1CWps6qa3jy0+kEqU+NgHVL1b/rfw/9LZaodpLpNa6nngO6aPW+mHn/8EX37zTdKs/a0bk3pwCV5QWa93yPvfu/l2RV5viHewY880/dyuiJ9H+2A5bOk430l4Tz8nqQTS7xDOp7XsN8OZSo7O8vCyMBolm645X717DdW5ao0D/Zq1WkxVM26HaM2SVPUpv9patp7ipr2ma4WA2arWb+Zqtf1FDXocoIadD5ajbtOVGKXCarWtJ+BLNM1Ddpr7HGn6cmX3tKPm1KUxn4w6pkBLZMxBho5efe3Ai1kgZU9p59+ejB4zKA8uuAvC7TY58EX2TGw+Bgqe0qiQAsXvf4WQfkzyV08PxdgN1ZpHBi3GMccnc3mXIACsxGM2C9fvjyYSWA5GCfK0bhYSsgMDiMZHFDATAAC5ECLeBEq+ElakPNxf+DlrvLiDcIbNr8pByNDlIvOlBkqyg8I5eQYQMRxxx0XLB0EdAKsaEg0IpYRALw4ZQbli3FOXHS2sXyJ5mN/JvKK87p1XsEn6t0BN1PkrNsGjCJLHGUKcGIm0PcA+uwV4ImOBpDDSCezQ2wuBtT7yaDIGDNQvEOatFfvxGL5yBW/qPxBpQo7NFIZiSQdQJZ/0Z988MzjcXng6vGSLnmZMGHCDqBF2/Dn/j4uej0wCB460GJWq9SIcYMF4yk9I1U/rfle333/pV597XmNnzBMCY1rqIWBqZFjemneWSdrxaVnauUVc7TisjO0YNHJOvqEoWrepo5q1D5cvZO66MIVSwyk/cPkhZleZhg4JMIMYA6ByMkwMJEXdGjhnpmwbqPO8+z1/keQZcjo50YbRy8XFJleNfnKyc9TJnuwigw0Fudp7da1euTZh3TqGaeoTY9Wqtaosuq3qqmG7WqrVe/mate/jVr1baVGXRurZqvaqt6ilppZuDGTJuiSG6/Q5z9+qfUGtjKz0032clXIAAPf2bE0Xd6icuf0R/IlIFgDwaYd/qHMQBi9GMbMRND/MJPJ6ZObNm5R8tb0YA/Vt6s3aeklq9Sm+0AdVCVBf6uSqEqNu6p+52Fq1GuCGvedqCb9zEAffKKaJh1tRtSRatR9tJr3GqfEbiNUo1kPlavZwgyvBLXrkqRlK68IDsHgIIHCYjP6CzkJM9wjB1jdXmyZLcm3sSswqopN/q3lW55D/sFHJ36j334P0GLgjW8CotvoK9jDGg1zYFNY1wAt9ETpfs5MA1k5SkvfqldefUEzZk41vWtgKrGWRo1J0swzjtW550+2+jpNF14yTQsXHafRE7qoWcuqSkisokFDeum222/QDz98a30AnwjBzmDGDL38xwAt6tLr1vsQrvRZ2JPMaNHfM2PpoMP7qKhcxMZHX4YNxkBjcmqy1m1eq3sfu1tjjhmphDYNVSOxqsrWPlR129QyANHCdEZT1WpRTfVa11KtptVUpX5FtezQTKdOO0UPPfyg1vy0Rj/+8GPQr0LETb9MXknf+zQv3+4omld/h3va7+233x58rJ/PHDBxQTo8gzycx+Hx7SlF0yW/9NvIUkEBnzTicKAC04f5+uSz73T2eZeoedsklancTOVrdVSd5oPUpNMEtexxvJr3nKQWvU9W6/7T1CppqhK7T1KjzhPVoN1o1WszTNWb9lWZ6q1VtnoLA7RjdOmqO/TJ16u1KS1TGXmmLyxtPrQffiCbwcYSoAXwipPveORlQBawkxlcAWj16dMnkBXqxh3hcZR9X7p9chiGX73gNAxGIABaAIbrr78+MBJhRrSg3HONvnsgkLt4fpSFiqfSMfq9MTLjAh8wajGM+UYQSwNZBoZR6eEAqc8++2wAyDhMhKM9Oeaa/VwYqcSJ4BC/8y4eRfP2R9Ou8gFfUCbIAc+4Rwn6rAv7rvjuCXJDQwGIAq4wsuEfcsV3EgCs8PLYY48NwrIsjW8ncJQnyhRZg9zo9/Q8H+6iedsfyB33zj9XIs4rjBDqHll5++23A6UC2AKU0gmx+Zs9CvCSZadMpQPKIGaFAPKcWogSYtaUgRAOruGL6tRBqHDDY19Jh7SdyIvn1fPFNZpHJ/wcaFFHUaDldeLk9UR5/XcUaLF8gqWRnhbkfHK++f3+T8ghQIsOBbBVYsQEI3g8o40UBHskNmxcox9Wf6Xb7liluvUrq0Kl/1Wffq21ZPksPfzYtXr6xRv05IvX6Ynnr9WDT1yhG++4QJNPG6NW7eupUWINjRw1UPfdf3uwv4sjzwuM8nKZbcgsAVoMSKBH9j+gVYoouITyxseZcw1EZBlQTDNQBMjK3Zanj774UOdceLY69G6r6o2qqL4ZTN2GtVf/iT016Lh+GmA08PiBGjRpsLqP66GE7omq0rKG6rVP0Kjjx+mxl57Qmi1rgxPHAAh5pju2mYG53cAWgMvllDxEefFH8iUgWOJs2eFPm0SeTMeZcVJk9VnICYrsXzPKzs5RcnKqUpJDoJWeVaBnXnpLU2YtUItOfcwAamyAq5HKN2yvWmZM1e88RE16jVGzPuPUoPNQJXQZqlqtepvh2UNVGrU3o6mxDqveSM3adtfMOWfpzfc+CGYXAVg5+SZTxegNA/TGy+20Uw5aKcm3sStYJrS3gZbLKv4YqGyAZ4CSJfksMWdFiIc/cMjr2cn9qW9kMlzmlW9GMSArx9p0Tm56MAN+zbWXq0vXtqpVt7wGD+9s+mK6br/3Qj34+MV64oXL9dyrV+uBx5drxWVTdcykvmrZtoaq1yqncROG6bnnn7J+gNksVk+4Xv5zgBZtjiv9PkADoIX9xHIwBhJ5Rn3znpPHCfG+x7Vj4DEtWa+/+4qmz5+qhLb1VaHeYWrUqYGa90pUz7FdNfj4fjri9DHqM767ugxtr/ambxu0rqOq9SoZ2GiiU6acqOeee1YbN4Qn+zoRN/0W+Sc9KFrG3ZGX2fPPlQED9qLRbx566KHBADMDqDwjPM7f8+uvJd4jvpDP1DVLRQ1sGWBPTTd+ZWTpxzWb9PJrH2juWcvVxPRA2UpNVbl2RwOf3VWjcT/jzYgAdDXrNlFNuh6pxp3Gq1H7UardNEmV6nZSmWotTF80V9tuQ3TmOSv07sdfaf1W9tTmKMvsi4Ji063W/xQZ0EK2HGiZ8o2b53jkZcBewebBvsEeYgUUy0ypG3eEx/HOvnT7DGiRcQrBb4xipjoZyWaql0MMAAgu+LiocPxWQfmzyF08PxdeGhqNhZEXlnB99NFHgRHMUZ3whBPYAFnMMviSLu65Yowys3PSSScFnQUGMe9iuCJMDiJIC55yjaVo3v5o2lU+Sht1OPMBYdBTHpQIa5LZxMzmT2asmAlFyaIkfXqe8DQcDHEUEcvLAGUY4ygjvgwOYIAIiyImHecT+Yi6aP7+bHLn9/CLPDvfKAf1z2944IeFONhiXTJLKgHxKBv2R11xxRXByX9spmXmj2WqhGWkDEUEsEXWMGSQPeKGbw60vNOAou2XK789b1BsWPbOkS5AOAq0qBOPm3CUi3vi8veZnTziiCN00EEH7ZjR4jkET3AuYzjn4f5PyKDxMehQwk4lWJoTgJ0wDJ1elgEJjlv+/ocvdebcaapY+W+qXa+MTjp1tG69a4WefuEmM5hu0ItvXh/QC2/cpBffuFXX3HiOjj95uFq1raemzetq/sKZ+uDDN5Wdg2FibS2LE+FSdwCtEGw5yIvfNrzd/BEUWuUY6HY1I92BFgdg5PENMQNZzGZl5GUquyhHG9I26s6H79DwI4eqZuNqqtm0mjoObKuhk5I07vRhGnXaUA2bMtiuIzR29jgNmzpCHUd3Vs0OdXR440pmHLTQ3CXz9dkPXwSzMhmcMGayz9HwxQa2WEboMomsRnnxR/IlIFgDlfAkJOt3AS0mSxgqxQY8i4tZLUB+Q31BP8QpdJmZxrusPK1Zv1lPPveK5p69VF36DNHhNRvrb5Xq6bC6LVQxob0qNuqgKomdVLlxB9Vs3kUVG7TU4bWbqHztRFVr0FwdevTXDANZTz73glIy0lRkRnd+kenmfGYZsrStONeowOovBmhZvh1oWUu33yH/vB07P38L0HJ/ysseaAaS6DvZv8rgnIc/cMjrOU59GzH7wOwrAyh8+4pDK/ge1j/++b7OnHO66hgwaNGmuuadc4zufmiZAazLjC7Ss6+u1CvvXqVnXr1YDz+1TFeumq0JR/dQzbpl1KBRFa28ZKm+/e5L65P5mGyok/8ooEX7Ij38uPe+gcFngBYn0LIklBnLWKDl4T0uj4NnhMPGoE/7ae2PuvIGA6IDO5m8lzE5r6CuIzpq6AkDNHrqMA2Z1E8nLDhKY6cO1xADXSMnDVHPEV3VoFUdVatbSU1bNtbChfOtb/suGOwkHxAyS149PdKOlnF35OE831xpswyY0vcx2Eh/zvL/aPn83ejvX0O8R35D/pHnfNOzeco13bppy0alpWfom29/0Jp1W/XSq+/r1OkL1abjANVO6BQAroMOT1T5mh1UO7GvahlVbdhDlep1MVDaOVhqeMjhDVW1Tmt1SxqthYsv0XOvvKutGbnakpal1MwsZZs+L2Q2y+RobwEtZIVJCo53Z7CFj5djOxIO51fe2ZdunwItrziMY5QjQAujDgMLQXThw/1W4dgfyF08P+cBjQ4lAMDEuHz++ed15JFHBntqODGOzoCGA8DggADAFuEwoGmoNGJO22NDH6fLjRo1KgBrCJMbqm6gkqan6/Xg/MVF8/lHkKfveXDyvJF3lwfKAAEaOJiB2T7khs2vLPkApMITiJkvlBoKE0XEXkBAPKfLAGABDszYYOADtOD97sBWNG/7C+HgE/fOL67knStEnaM8GNAAnDNTRXtjBpAZZIANQIr9kcxycYV89o9RQUA8yzGZ+QJgYcgAXuEXPIZ38Bi+uayRB88jLpo38gR5fULoAT7+yEABQJi6Ii3i9Trx8rgcezoMKgC0/va3vwXgkeWOPHciH36Pc/7t/0TeHWihD5FJ6jmscwigxQh1VnaaPv/iHxo4qLtq1imjDp0baOVlc/XwE9cY0Fql519fZUbTdXrpnWv13OvX6KW3bta9j1ysiy6fo8HDOqlW3cM0fGSS7n/gdm3avMbqMctAVooy05OVY3EXmnG2vwEt8hEXaJlMMJuVnWuAIc/atYGslLw0/fPrf+jMc89Qk/aNVS2hkpp3S1S/I3tpxKn9DVgN0YjTB2nEjCEaNXuERswaqeGnj1S/SQPUbGBLVW5ZXVWb1VDnAV113+P3a93GtaY3tqoozwwAPrZrYIvlby6f5CHKiz+WL0awBirhSUgmNyVAK1huE1wxOmm3pf0EH1wFbKWlpZthXqANm8x4eu1tXXDxFRo+/hg1atU5AFz/c1gN/Xf52gHwOqRqAx1WK8GMqUaq1aiVAax+GnfMJJ2/4hK9/OZb+nHDOuUUZqtwu+mJ4gwzmLLMWMo0ecq2fBrQCuqRPIb5pjqNY5ZbYBbGeyjz3o6dn78XaD311FPBgBJAiz6FwTcPf+CQ17OT+1N27IvwhEH0BCArWDaYtlWvvvaijj3uCANaFTRoWCutunWugavLDVit1OMvLtaTL5+nZ19fqqdeWWo64yI98vSFWnLRKerdr4mq1TpIRx87Wi++/LT1L1uCNEjvjwBa3o94fXIPeT/C0kH6Agda9H+0SfqRaFi/J05vt6H8h3uc3/3gXZ02Z6pqNa+hsnUPUfPeiQHIGjd9pI6YNVrDJvfXmOlDTX8MCoDXMWccqZEnDFWHpDZq2LyOKlU/XH2Seurhhx8MZBIA53FH0/dy/Brncs2Vfpg2QN8H0Jo1a1bQJ0bDOC/9/rcQ75JXDtApKMxTXgGgPUtbUzYpPTND333/g9at36wvvlqtJ595VUuXX61RY09Skxa9VLZ8gv5epr6BrmYqV7m5DrVr2cp2XylRFas3VfM2vTX+6Cm66Iob9Pq7H2vN+mRlme5JzcxWmtkX2dZWHWgVM9iITHm/+BuAFvwHaDF4zN5+9vUzGI8tSDmj7rfUz69x+wxouXBBGIAcx4nBzCkxnA63K6CFi2Xc/k7u4vm54KIAaHw0REAUoxMAAkATyp+9NBjJfmgBigMw4Q0XfvFNLWayQOfwkeWDhKUzIX4IRUL6pQ2mFGx5vqL5/COItJ2i/uQLGSD/KBLuCUM5OIiBJZIApokTJwazLPACPtBQXKliqPO+85X3WKbKfi1A2imnnKLXXnst4BNgwfnJO8Thchovf382eX68Tp0/zjfuuaJQkBeAEbxBjgClKGaW6rGMkv1X7G8DcLEnkD0LzHSxlIbZVIA/7dTljjjgJyALHuNHHTnfINKPOs8zeeI5+YJcPpnGZ2Ybg4eRuRtuuCHIL2F4zjX6PuXkXX5HgRb5Rx5Iz9OFCA9F/fZ/oo5D4zjoUMxQgQeQhwFo5eWZ3OZl6B//fFut2jQ0oHWoBgxpp7sfuFTPvHiTXnjtJr3yziq98JYZUa9hRK3UC29cpwefvFR3PbhSJ00ZqcRm1dSuY6IuWrnY6uITZWelBsSMFoArLzdD24r51AKdWph+1Hl+onnbc/J3uP4KAnCSH0vTPHbko9BkIsdkJotvX/HdK8v3pvTNeuW9VzT2uLGqWLe8ajetru7DOmvkyYM16JReGjajn/pP7aVB05M0eMYADZw+UMNnjdDwGSPV4+jeatS7qSo3q64aTWtr0rRJ+scnHykjPVUFfMw5z+Qx3+S+RKYhb4Next/Gl99BJSwJyf0xcB1oUY/kER1Hmy1tiywD45pl+pQT6lJSUs3w2ahPv/xWjz3zghYtu0SjJk5S84491aBFR9Vr1t6uHZTQqoO69hmko05gf8/levSpZ/WPTz/X+q1blGJylJ2fYXVhfft2A1gGsrYFQIvv1uRZJqlL8liSZ+rSyFqtSf7eBVquCyjv008/HayIQO9Mnjw5GEzy8AcOlfBsB+38nPrlZNKsLICz9XM56cF3sB57/EENHdZfic2r64RTB+j2+xbq6Vcu1OMvnacnXzlXz7+9OKDn3lysp19dEgCwux46T5MsbEKTw9SmXQPdfMvV2rJ1fQDiAOwOrJh5LwVaobyhv34V0AokIHTuR31Sd94H4Lw+aXcALfp4PvXRpUvnYN8N/bv3I4QLP9JN/17aV/r7gfyz5Dg7Sw8++qCGjR+syo3Kq0HHOhp8XD+NnDJEI6cO1qjpQzR0cl8NPqW3hk8doJHThmjcaSM0ZvIIDTyir9r2aKlq9SqrfqO6mjZ9qunUcN886SJ33neRrsvoLzkvf/QKYbMgx9g1hxxySPC9TAajPQzpeNjfQ8QHAbQKi/KDbxFCDPIlJ4errFb/uFbf/7BGa9cl6/Mvf9TDj7yoc8+7TKPGnKg2HforoWl3NWzSVYkte6l1hwHqlTROx584UxdffqOeeu51/fPTb7VuU6q2pGQYwMpVXmGRMswuy7Y64TuIwVLiQId5n4gMhLphTyis/1JQvmDBgmB/JjYPnwNCViijO94h/L50ex1oUUjPOIXhigHHcZQALYwkThtDIAmLI7wLjP8+kMhdPL9QaEOFTwPH0GfWiilMZlwAEkxtsicGIxdjFt5g3PpUNMaoX5nVgofVqlULBAjE7sABQrg8zSg5f/8MIm2nqD/5coOce79i1LOWlmWD7EkDXHJSFLwBLMEbeATRaHgH3nKP8gHE8rFdOubu3bvrjjvuCBQE70ZntUJFHI44QcQTzd+fTc4v8uZX5yN59Xv8kStkhJOUuEKUmVk+9rBx2g6HrDCLxJJMPhrO2nZOG6R9ImvIH7OoEPFRH85vnnGPX5RX7vze80YYr1uXfQYK+MwDAwUAPv/QpIfj6uXhnnh4lytAixlggBadDUCLsO6cX56vA4eoY/KMLgwNFcrB8eX2OAhTaMZNXl6WGQfp+uifb6hZi9qqUPm/NHx0Zz342JV6+sXr9ezL1+nld67Vi28b8Hr9QjOaWBJ0vZ588So9+sw1WnDuSerSPVGNmlTXGXOm6d333wg2yufkcDIn+3UAWuhk9miV8jDq3I/8+f2uyHpKhMHIyhW9Us6dyMoMBWCqhOhkSwiQEOaHNC1oSdScOMjx4dmm+3I5Vc+Mgo2pm/Tsq89qwKh+KlP1INVvVUsDJ/TWEQakBkzpoWFnJmnQrD4aNqe/hs0dpIGz+9vvAUqakqTek/qo07jOqtWhjionVlWTDs2Mp88YXzKUm5WjolzTEfkmlyanLqvIWpQXe8KXvUshP0JyP5cngIvzD16GPCSPYf5df4TP6ENy86ydFhRqc0qaPvniG730+ju69+Endd3Nd+iKVTfrylW36Orrb9Y9DzyiF155Q598/qV+XLteGzZvsXesrzLQXmiAqrDY+GXgKr8w3QzxbEsj1+rVT7QM8x3IUwlZLkqMq5B/5CvKW1YuMGvxS0CLK7qDe96H0B/scWZQE6DFcmn6WsIcWBStayj09/JTjwAtTifNyTUD1tr2D6u/0Z133apefbqoWavamjxjqG69f76efm25nnrtfKNz9fQbZ+uZN8/RG/9YoZfeXaYX3rzIdMZKzZo/Sq3bV1WVagfpwhWLtHnLOtP/HGrCsfHIFrra+gEOLYjIGLVZKoNhvcQjexKhUA52PLPyUHd8ZBughJ/XJ+3vhx++15Ili3XQQf+njh076N777g36fuoaOQ7BFTNYxpdie9funU/Ifl6eGfcFuUrNSNE1N16t1t1bBrNZzfo00qBJ/dT/xD4aPWuoxp45VIOm9dKg03pq7BwDXaf1U78Temr0lKEaP2WUug7qqJqNqqt81cPVs093vf7G64GN5nYY5H0laVOOX3Jedr9CvEf/yWAoK8IAWhzqQr/t5XK593R+D4VpU7eArTxl5qQpvyDH7In1ZidwkNtGswcylJ7BAE2W/U7Vp59+rxdefEd33v24rl11l66+9g5df9O9uvXOh/Xwoy/orXc+0ferN2jTlnRtTTXwZro0AFiZfCQ+VxlZmcqxeimydMMBF6ewTwzlKn5+YwmewQ/4jz141llnBW3fbUFsHcqIIzyOd/al2yczWi4g3FNYBIKRdYwrlgyxRwQj2QvpzIkW/kAid/H8nB9UPA0Qw5L9JgCJYcOGBafpsd6Y5QwoCzoVgAYNlt+QAy2e0UnQ2DBW+agxswQ+20DnD5FWtIHHUjSfv4eicUVd9PkvOcI5f7g6YPJDE9jEyJHglBMeUE7KCy8w/Jl14V0ULGAAcMFmZ76dAEhj/xsfyWU5Ju8RhnhChUwHsff58kcTfAs7kBDIwyMnygmf4CnGCbLHUkqWqcIr/OGH8xSibfIOxL37Ex88i00/6mKfIY/IPcT3awDNzDQyI8voEvGSb+J1GXDit3dW5PuYY47ZMaPFHq1oXqIumv7+T8gd7ZQOxYEW5SrVhYwiM0KdmbVF73/4SvBx0bLl/z+NOaKb7nlopZ556Xq98NoqvfLetXrl/cv02odX6NUPrjaj6SoDHtfqsWev0VXXL9LgEV1Up0EFnXDyRL386nNKM0MjNy9bqWkpSjcDjQ/zcnJZFGjtCcW2ndB6tv8CcGVlsrrccaXjdMLPDDZoe7EZbIA8o3CZmfkxy2E8MWmgmw2iLDa2WP+sgkIAaEjFliZ7tbamp+iBx+5Xl6ROKmsGYpMO9TXoyF6aMGu4Rs0bqIFn9NSAM3po8Py+GnZWfw2c10dJs3qq3+m9NOC0vuozqaea9EvU32sdpGqNqum6W64zIPGTGXeWjwJLy4yDAgN3sQbUr9cdVrxdUrzwv4Wow/j5iubXHX6Uh1PlWEqYnWMGFksLM7K0eWuK1q7fqO++X62NmzYbbQmOb99i/lvon0x/pJgMsaetiENcghFoZJiZDgxxn13bPZ+cl97+PZ/oCIAWICsKtNz5+2H+Sau0jOgdllIPGTIk6Ev4ZAqDS/7OgUM/l42QV+hNZDLP+jbsh9Rg2SAfHOaU0jvuvMWAVlfVb1RZE0/srZvum68nXr1QL75/qZ59e5keftF+v3a2XvvHhXr+rSV66pUlevzFZZp37lh171tflasfrPkLZ5n+/Tb4FlqhgR9f2hymD+Dyutoz+81CBi2alm3WSkkLx9/k0MpZVPJ9vIICln5iz4RywbJdTkhdv36NrrjiEh1yqPUFrVvo+htXKTklOehHMjMyVZBn79i7hSUfx95m7xdYPMgH/WEex98bjzYmb9D5F52nhm3r65A6f1PjPg017NSBGnJafw0/Y6AGz+qtkQsHaJDpjP4zumrEnCQNn9lPQ6YkacQpg9R/Qm81aF1Pfzvsb2raqoluuuWmwB5x24Kyeh8WlLtEJn+JCOdheZd75Jjl8hxWxdJBVqIwiOry7u9RRv/9+ynsi3zZMbYAtkKytf2UFPbJ86miVCVvNds0nUHwPKWkZpl+MFtj49bgumkLesLCpnH6KEuXC4O65bMc/OZES/QHcVPGHfnnL0g//L0ncuVEHPAd3rDKh20nHCTHp5MY3GUg2cPCM497X7q9DrQ88y4oFBbDDmOZ9aUALQxflKcXjiuMiRb6QCJ38fwoE2VDkHyWgHtOTWNvFjNaHF/OcgYEwMEEqJvOBEMYXjlAAESw74YDHziFjdPjECzecWMYnpMm/tG6iN7vDfL4dkfuYt+NOvJJngmPskRZsdSU5WUY5czAYGjDEwCBkwMF3meWEL7yLjzi0AX2HjH7wXI1Ghw8ZHbGeeoN2/Mam8cDhSgD9U154B+KPuhQ7N5/A5ooPzz02VIH8MiMh+Me8veRV4j38ScdTzfKN3f8Jj/+nHfJFxQFWgBg1ksTL2G8DFyd+M0zrtQ/p0o60KL9RDuZqHO/A4PgHzJo6MFMDiyDnYEW+iPfOiXrjAxoffyvt9S+UyNVrfm/6tKznlbdcq4effoKPf1SuKH9qVeX6eX3LtXL716lp1+53EDWZUbX6rqblmr0+CRVq3WYjj5uvAGt55XBd6IKrbPLNHDNt1JIL0gzXj53TbFtJ4jEgZbV4w6ycDsDrRBkBWRAC4AF8R0xB1qFZqjb/8YZ44NFyWeYiiwqwBYU3m+3zjpDP6xZrVvuulmderZVlfqHqVO/lhp2TF+NnDpAI+b214A5PdV3dlf1MUo6o5v62+8BZ/ZS/5m9NHh2kobNGKAOo9vqoNr/FxwJf8HFS/XDj6uVl2O6ybJYZIYboAt5dFmNLfuekRVvlxQv/L4jHNfS9hYOjLju8LZLO0VvogP48DG/XQ97/5SdE54k7A7e/Br+eHhv//4u8e8KaPl7XHnHdYL7kfco0OLTIAci0MI5f6L+wRKvYHAknNFKz0gJZqe3bN2g1QaOHnjwHg0e2k816xym8cf11LV3zNWjL68wcLVCj7+21K6L9cTri+x6rp5643w98/oyvfj25br8utM0eGQrNWx8uObOP02ff/FJ8IHz/DwM/53rKpovXDR/8chCBkCLVk3bNghkd2YD2ru0cdo0AykALcBSsQEv4g8OaDB9lbx1o2684RqVr1BGjRLra+UlF5lRvzGUWb7VZhEU27vFeURmfLP7ghzLN5+EMEDKaaIZuelau+knzV88V/Xa1FWZBoeoUd8GGjqN5cSDNGzOAPU5rZMGzzOQdUYXdT+1lQbN7m5gq59G2POxM0Zo2KTBatq1qf5e8SA1aNpAS5ddEPRT5MPtGdcTe8IXpyg/6f+4R45fffXVAGhxIBSHujD4HO0DCUda/ntvEWmE7b500BW7Afuh1IZgTxq6o3T/W6g7QtuBd4kDP7cJeAd/dAhh8PP846J8wEXztDsiDtfRDCj7dgW2TrBn/y8BtHBeCIhKYtkPJ55hIDnQgrnRQkYZHH3/QCB38fwoIxWOkAG04AdCiLIHYHEyHB+aZQ06YAAj2A1cwvEOwsySMISGdbrMaLHmlD0rHNdN/Lzjwu1CBk9dUJ1if/9eIj6ItDy9XVHsO07k1Y1t8k8nirww6wGgZAaU8nvH7g2Ze/hDw/clc/CPGVRGLjhpihlDlqvxPQUMBRoZYAzDgDiiPPLrgUQuY5QD2XIlBnGPXCB7Ln9RZQn/uEbDEgalR3jvMFx+4Rf3Xm+k6b89L+7nV88PV4DWmWeeGRg8HMbBMljyQ1je5xolf5/rvy/QCme08vKzjTL0/epPNWXa0Spf+b/Uun0NLVt5up5/9Ra99eFdeumta/TcG5fopXeusOsVeurlK/XEC1fryRdv1MrLF6hP/w6qXK2MTjzlGL317uvKZuN8CdDi+F5O8SsqGUH8vRQCrRiyf/YwJCunrNw7UTCuHZpgAU8wxbaRJ9MNBsyMM8HsVbFZY2Zz7aCC/GIDjVlmOK3VXQ/eoY4926t8zbJq16u5Aa0kjZzSX4Nn9NKgOQaqzuiuXqd3Vp8ZnTXQQNbguX00wIDWgOm9g5HszuPMkKnzf6rcsKJmL5ytr7/7RhnpHBJiMllkusrQncv3b9cXIQtKKV6YP46ibdnbK20f4h5/7tEXXF2XuD52XYI/bdL1g1O8NOORh/f27+8S/y8BLSfy6n5cyT8zASwl/ysDLWaWsrIylJyyOQBZmzavCz4HwWEYp5x6gmrXr6geA5po6eWT9eSrVxhdokdfukDPvbNSL7x7kZ57a5le+eASPf7iEj33+mW66PIp6tKjjuo2KKv5C2fom2++VIGBLNrB3gNazGgZMZjkQAsyVRACLXsWzGaZn3myx7DYdGF6+lbdffdtql2nmurVr6VzFi3UTz+uDmSyMN90h+mH7QWWTq6lxJV2G8xyAQTY15mptOxUbU7dpCUXn6eE9g10SN2DlNg3QWNmDteYM4dpyKwkdTu5jQbP6akxiwaq38wuGjy7p4bO7KOhU/tq3OkjNH7KaHVMaq9DKh2iyjUq64w5ZwS2h7cjCP5QZnexvPgl8vaEHLMFgH6TGS1sR5bi+3PCen3ExvF7ibTdboDH2AHe/rGj8Mcvqje834YIy/tc/ZnrGd5Db0D4ReWI++jvaJ52R/DA08YuRF9wABcHgbEvnAF6D0v8Hve+dPtkRssLwBXmAbQAVxhI7NPCiMYojhYyKpAex4FC7uL5UUaveIQMwULoOKwApA3wbNy4cSAMGKLMNCC4EACL3wAE7pkZhI/MDILQOb6cNagIu3dyLuCkSdpeD/uSPJ0o+bN4+YiGI6/e8Mg/jQ+wxB42Rm9Y/sepMUyT07DhA+G8wQIKfJYKXtGI4BMjF8xoAUgBWiil6IxOFGhF8+X3BwrhuDov4Y3LgfOTcsIv7l0ZuoJD+Tn/8ec3xDN+E4fLLmGi9cl9bP16Ppw8buJBvjkticEFpvH5qDRyzjs4j8/J3+f61wZaBiKY1dkl0KI+kdU8Jaeu0513rzLA9Hc1aHy4Tjh5qB549Eq9+vYdev61a/Xsa2ZEvXyJHnv+Uj3/+g16+a079MzLt2vhoqkGzBqqToOqOnPuDP3j4w8DoBWM7mZlKiUtNZjVKrC0vC5/C7ksFJsxxkg0S/2o3p3IqsuClr4XIrDIH2aYyYDxxYEWs1uBv0UQ7L8wI6yApXwFUDhAk5qerKdeeFy9BnRXmcp/V2L7+hp8pBlF04dqwLQeGmiGEpQ0o5v6z+yhIXP7atjcJA0y42ngNKPJSeowso0OrXOQKtYrr9PnnK5Pv/hcaSkZwWxWAPAYLS+Rz9/OJy9/DB/+JArqq6S9ue5wXcE9z7miF1x/oB/c+PKBGZ4Rh8f3a3lE2HjvkkYUaLHaAaAVfceJ9KP+5In9nCzTZyYdoMWBSZ7mgURepqhfdOkgQCsl1frClE3BpyBYPvjlV58GHypv0bqhGjavoGlzx+jh5y7X069do0eeX6HHXr5QjxngevKVZXr+zUv01Csr9dxrV+nYk3opoWlZVa1xkFasPM/6zU0BiGHP074HWmY3FlrdGagrIg0jQBbfYisuopwpeuyx+9SyVaIBrZqaNft0A4JfhQfX5OYFoGqb6Ybt+aZsgikyS89+F5kM83mG7JwspWemGqXoilVml3Zvbm3+YCX0qK/hUwdp9KwhGj57gHqf2kkj5vfTkecb8Dqjl4bN7quh0/to0Cm9g31aY08eqc79O6pctXKqWquK5i2Yp9UG+OAJ7cXbTtTF48fuCHkmPtocAwTMygC02GvIvnXaK88J6/XxW9LZHXnb9/ZPmlz5TdvHluA35LYGYVyXuK2BP2Hwiz6HPN5YOfo1cuXkfIB36AnOh2DAHZDKHnVWP3m8XD3ufen2yR4tJwoLAwFal112WWAgASpWrlwZGLrRQrqw+O8DidzF83M+IEQukFwZ+eADxRzXzneimNXigAJ4FQVa8AmBBpjSYWBsclQl+5c4dZC9R4AMOj0Xcm+cpB3N094md7t75rIQ+9z9vbFx9YZIWVhKyebF8uXLB0skKbuDJML5VDN8gVcOSHnOlPry5csDUA+vALEAMN4BrPEOaRAPeXAXm8cDgdxxT1lcwThFldmu/LmP9fPwxOfyy+9oXXodOkXz4fH5exAdA3vnOMiFuuW0KOqD8Lzn4TxN7j0ff32gxceKdwW02IPIqB+nP6XonfdeUf+BnVWtZhl17ZGo85edHhzx/uwr1wd7sp586Uo9+eI1eunN2/XUizdr1S3LNGZCf9WsU1EdOrfSxZet0Odffhrsy2J0NzvXOky75ub7ZuRf1hte5/H8iw1dFWIsMTJtRQquRmY3BUv/nABhFsxKbOXciSwe+wuP+TVjhaWEfMyZ5YTGG/ZqMLqen8NSoTwznuhn8pRmQOv1d17WuGNGqVLtw1SnWXX1GdVN46cP1yADUgNmGNCa2UsDZ/Uyw8lAFodinNFfQ2f118jZQzR0ykC16NdEh9Q6WBWNV2ctPkv/+uxzZaRlKS/H2gTG2l4BWvsfhfW2s+6A8OM512hbpl2iP71P87DOE65O0XR2Rx6eeKJxRYEWB2LEAi0P6/f4ux95o+/ghFWAFjrkQAdaUKkf9YEOx9DNNf3AXk6WcaYZpQezWvfed6eGDE9SrYRyGjK2oy65bq4ef/FavfzurXrl3Rv13BtX6eV3rtMLb16t51+/Rrfcda7ad6muKtX/S23bN9S9999qdR3uz2IP394CWiYxO4CW1doOKmKJHzJmtM3CF28DuCBn2fYMkJ9q+v8J9e7TJZjVOunk4/Xpp/8MgFa+2UqFObkqNv1gKC1QMHxofJvlvZi9lpZf9nnBI4DWrXfdqB6Du6ls3UNVo01V9Tyii4ZMTtLYOcM0dGZfjZk/SMPP7Kv+07pp6Iw+GnF6f42aNlhjp47UsGMHq23P1ipfo7waNmlgevWSQC7hifdbQXlL+LQnvHHC+XvEQzvjcz4MUHIYxqRJk4ItEt4eecfDx8b1e4n4aUdRm4Cr6wN+ux9h8Pe88Nv9ovrD3/N7f/Zr5GhX5GlD2H3YgnzGhu0KfMIGm5lnHhbn133l9jrQogBeUBiHMsZIYvkXBhIF5qADQARh3O0NBv9Z5C6en/OChuIjAggeoACFz54VwADLGugEOB2OWaookAB80VksXLgwmM2qWrVq8B2tN998MwAYEOE8ftLzeojmBRfN496ieC42DHmJJfy9oUGef4jGwNJIjr9nn9WVV14ZLK2k08U45wpPufeZGWQKWWOpyNSpU4PpYma1+JwAz9wwIDxXGjd5cBfN74FMUR67LMSj2DD+e3fx8TvqouHccU98Xq9+/89//jNY8sAsJcctYzwhtx63K1vPD/eu3P89gBazWtTDz4EW+oBvOmVmpurbbz/XRRefr2Yt66lO/fJmRHXV0gtn6e4HL9Xjz19rgOtGo5v16NPX64prz9WkU8aoeev6FraaTjjxGD32xEP6ae1qZWSlBwCL5YNQIfukMIN+lsefU1QeokS9FZphU1C0XYZLlGcq3infyEFXgRUv2G9lVQcxy1VKFr+VPzwymv1aucYJrpa/YjPqzaAsMOCJUZWXla1tJcffYzx9+tU/NfecWWrUup4q1TtcbVg+eNIADZs+QIMYjZ7eW4Nn9A2WBg2d1U/DZg7QyFmDNW7OSA06sZ9qtauu/6n4P6rdpLauueEaff3Nt8rJzldmugFdu7IPAblzGY3HgwOJ3HHvdRolD0dZPYz/jhJ+Uefv/RryND1OTysWaPEtvj0BWhB9CXtbHGhxoM7bb7+9I80DhaLl41rqTzmRR+QyP1hizKmD4eE5qUpJ3ay333ldZ51zppq3qasGzSpp6LiuWnHlHD376q167b27TFessvtVuvfRC3XZtbN0xLE9VKna34Jv9U2bfrzee/8N5RvQ4aRK9tx4XqL58Tztad3bG6bpTMcbOdCyGAJi+TIz64Ulgz7h6XfW5gs5zZLTMdP1zruvavyEEaparYLGjhuh9997K/hMRT77BBlAtXYKwAoUigE3fvM9vGJru3kWJjubZXAZevm153XkpPEqX6+cyieUVav+TdXnqG4aM3Oohp/eT6POML1xWk8NmNJdQ6cZ0Jo2UOP5xta0sRo4IUmJ7RqpbOWyatKyie574P5gawK2BbYGvMFxRWfg4vEiljyc8xT9T3yffPJJYM8AtJiZZTCaZ94Pen1AHtfeJk8j6ueOe54RJvZ3NDy/YyleuCjt7lk8Ij6IbSKcD8EED1tROPGcLTjwjXDEi/PrvnL7dEaLwqDoMJCvuOKKwGBmCo+DCgAaPHcXLWgs0/Z3chfPj3JR4fABYwmiIUI0SvZmjR8/PgBb8Gb06NFBR8KyKo6l5WQ2ZmSOPvroYCkdpw3ykb7rr79+x3I44uFKGvDUhYy0o3lxF83n7yFPh3t33HuZ/ZmHJW9OnrdoWACQj35ggPN9J4BlpUqVgqO9OWmOcjqoJKzPUvEufOBwEI4xHzx4cMArwNozzzwTdNYoK4/fDfjYvB9oBP+cl/H8o+R85j4a1usm1h/yd2P9oy6eP+8Qp8cNvz/88MPgm16AZ+qHD4lSl54nD+/k73H99wFa1EMUaJmPlR99wSwsG95ZGvT6Gy/qhElHKqFxddVtUElJ/TvopFNHa+5Zx2vx8mk6f9l0zTjj2OAAjBYGsuo3rKZ+/Xtq1Q1X64uvPgtOHGQJTU5udmBE8XFKPhJZHJwQ9/P6jqV4cuF1yKh3Pkt/zM6I0o5ZLciKFxKGFbJpxDUg4wFGFnnZlmfClGNkYKs4T9sLc81gYtQ6y4BWpgrsWpRnesP8MMQ2Jq/VrXffoKThPVWxTjnVaVFd3Ud10tBT+wfHMw+ZnqQhp0Hc9zcANlDDpw/SkMkD1GF4W5WrX0b/V+H/1GdYXz31wjNas259cBhGVkausrNKl98iey6nsXz4ZSL8L1G89/YteZ06ub+X0++jYf1+V87j2BPyOGP5uiugFRvWf+Pcn7qKBVpvvfXWz9Le3ykeX3AOtNAZAK3cPLMv8sLvHnEoBoDrpzXf6cmnHtKEI4epdoMKqlanrAYM66x555ykZRfP1LlLTtGZC4/WKacNU7/BzVU34RCVq/A/Gjait+646watWfu99Z2+NLSU154nv/c8RfO9SwpAFbNaRibvJlVxgJa1MZYPF1t7s7YPyCo0yslL0yf/el9Tp52kSpUP04CBffTSS8+anCQr18BTcYEBrUIDhKaLLDGYFACtwlzr/3Ps/axM5efmqDA/z4zuH7T4wnOV0LaBDqtXRvU71FYn0wNDTxmggSf20sjpAzRq5iCNnjk4+JbWkBOTNOqUoRpz0nB1H9xZtRrXUIWqh6t3Uk+99fZbwYAu9gj6Gt5QVq7oiz3ljYfz93mX+LD3sP0OPfTQwB5koJ4w9JE4rw9/b28QcUad+3GN/Q2R9p7KAuFiKV44aHfP4pHnA5uQrUoALfAHEz7gEfopD4sj7L50+wRoeQEoDI2TDWkgSRAlM1pM5TELw3N30YL6+wcKuYvnR7modBoL4IBOw5f5AQ6Yrbr55ps1duzYYD8RnQkzMTQolhXykTWWCXI6IbzDj2WYLD0ErfvyQuKCn97QovUQ66L5/D3koIX0+I2LlhfC338T3t8hr4R1IoyPAvEMA5wj7+kgK1asGPCEvVoAKZ+RIrzvt4Kv8AMDnG9MYIwjb3xBnv1dzm/S9zScX+6iZTtQyPm3J/67CgcPoN3FE0s8cxcN6474vJ65ogf4NAGfJGBGi3p97rnndsxo8b7nw4l3qS+u/1ZAy35zGERYFoBWuEeGvVrhR2fztGHDWj3w4F2aePQYNW3eQLVqVzAwVVHNWlZXu4711aZ9A9VrWEX1GlRR3fpV1btPVy1ZukgffPiuGQJ8JBrQQBti7TxGVG6QB0449PrYHVE/UTngyu+wzqytm0FWCqbCWavYmatg6WBgKFo7pC0GFI7Obw+IGSwDWcXZRnY1ILU9P1vFHCOek6kirgawoAL8WVZUkKF3//GmZsybqoRWdVW5YXkldm2gfsf21PApAzXydDOYThugYdMGasR0u582WAMnJanTiHaq275WYGxVS6ii+ecv0Gdffx4cX56ZkR0sHczN2Xm/I/IX5cOeE/pyd/Rr4/v9RBliyf2pU4jfXPGLltuvTvFc9PmuiHg87mj8ewK0onHgPM+0Gz5YP3LkyGDg7a8CtNwhLw60aNPM7DL74x8t5spere9Xf63rVl2ukWMGqkGjmqpZp4KaNK+pjl0aq0OXhkpoUlmJzSsFp5nWTzhcffq119XXrtDHBmhSU7cqi+8cBTZGmL6T5wcin2Ge4pdhJ7Jw9kZAxSbvfg850GKWvcD0UV6B9dtWpqJtVr7CbGXmpOqrr/+lhWfNUfUaldWrdzc9+tgDSk7ZaP3JllAX2HvFBjw5+XS7xbWNfh+wlZdf8gFya8uZWcFyw8eeekQjJg5XpYYVVL7BYWrWs3Hw4eIBx/XWyCmDNGH2KI2fOUojJg/SkOP7acQJQzRgfF81attQFaofriYtGmvh2fODveHYdgAtdIS3FedTXD7EIeehtzn0DLznQC+W3AO0Jk6cGMgx8SLjOE/H3/u9FM23O/d3P+6j6fk7Hoark4eJhnXCxT6PUrz3d0ceL/YhA/bY0NgN2M7YEtE84zwP+8rtE6CFowAUBiFhGRhrIzmWnFkbNqeBNPeWQPzZ5C7Wj6tXOHygk2YGhsaIgUkHQqOkAXHUNUd2MjUMqMAYBWCwpJDvj/HBxZkzZwab+fjaNR09BNDy2R3v/Ekvmo9Y589+L5EeCiWaJo2M3+QH8obPPcqC8vOeN0Ynf484CA9fAOOAcjYx0sGyEZTDQFiC5ksm6XDhARscGeHhVDtkDNDKN1OYNXEg6mmTjhPpRsu0JxTlb9TPKfaZ066eR9+N93x3tLv34vm5i/rt6v0oeZhdhY3647iHv9QlhOzTMWDoINvjxo0LlnjSBrwOeId7J5cb7v/qQIsPzJYCLQMYZkDhjCXGB4BWCYAxfrBfC1q//iczMB7SmXNmqk/fbmrcpJZq1T1c1WqUUZVq5VS7bg0l9e+uyacer6uvuUzvv/+2Nm/ZGLz7c6DFh0iN18Hx6ruXBSha31E/r7OgbREm8hyy2gmIcgej8QYcoaICM4AsHxBHOJunttl1e5GBq6IsY02WthdkaVtepmGuTLvafUGu+eWq2PKOcVVoYfMszNqNq3XbPTdq+BGDVadZTVVJrKA2A02HHtNLI6cO0ahpQzViil2nDtPgEweo+5guaty1oSo3rqjaZnwOnTBET7/yjDalbFYy3xhLzwj2Z6Hr0CNcKSNlRTZj+bB7otzILXWO3O+KiDPkcZTix/nbKTb+WCKMt0e//6X3eB7r8NsT8jg8Te7RESypL1euXNAP0Ceg7z0M9eDp+tX90fcALT6lAtDCQGXJfTTNA4GcL07uQhkJZYm9WgyUoEuKt1l7KrR2YcRSQsDWF1/+S3ffe7tmnXFasL+pTr0qqlq9rGrUPkxVqpdT2/YNNGR4d5024zjdcdcqffzJu8GhGplZ2CrhqhGWDkbz43UE4R/mKX4ZohS8UwKsAqCFX/Cb/VlmyxhIyjHQyGE94T7SzABwceWzFN+v/kYXXrRUtWpXV9duHS2/t2rDxrWW3/Aj7Ozpgh/BgI1dtxnYsoRNoVr6haajDGylbN6qZDPEv/zmc624Yrlad2+lQ6sdoupNqqrXqO4acHQ4ezV6ynCNPnWYRpw4REOPHaiBE/qpbc9WqljrcFWvU1VHHjVBr7z6stkhyTsG011HwB8vbywPdkeER37dTqH//Oabb3YALVbqcAoh8ZMO4V3mo/3i76WgnnaRd5w/d4d/9B2//yXy+DzuKEXD7Cn5O6ycw2Zkvz6rowBdfwmgRWXjyLgb1GxIY6kbhjIfDuO0PT/5A3JhPFAp6mKfeRlpDN5RO9ACAAAo+M09JxECuDglD5DAIRBcFy1apEceeSQ45AFe8i4NGuJ9j4e4owL0e4g8+/2uykV5AC+k6wqBclLvEPfu52Epa1QxeDpco/coFsrKDBZLJwFbgE6Otj/ppJOCJZVPPvlksHeNK7OCzJYAsOiQe/fuHezrgmekDV/IJ8RvB1zRPETJXaw/4WPlFef5jyV/vqt3IQ8bzYu/cyCR59mv8NzLDN9ZwkMHwR5Dlj5gACHD1IOXH/L3uCIr3P+1gRY6k9l9a7sGtiCTqOA5G885vc/BFnykvYcH4PDByC366KMPgg+TnnXOXJ148lE6YuJIHX3sOC1YeIbuf+Auffb5x9qavMl4zah0eDwvIMuBVi7LB82gYaM5QCvMU7y87kwuty6zfh9+7wbjxuIKvpXFEh4rIwACoxAQZc8YdS4KgBIjzGbEmUGVl5muQssPxlEwW1Vg8pGfYX7p9jtThWZEQdssv9uZfbNrDh9pNaBVYGFzLGxq5hZ9+K93teLKC9RnWI9gVqt8wzJq0r2+uo7soF7juxl1V/fRndVuQGs17FhPNZtVU50WtSx8L918903anLZZ6dnG39QU4w26LdxnC/+RSWQzKt+74wsUOu7tHTOCvZ4xikOQTf0jB6E8QBjQxOFpxMb5VyOcl5Mr7RseY7iylB69zqwWxhIDtf4ccl2Acx7hj65//fXXg6XnLB1kgAcD1dN0nvo77vz5/k+hrJTKTVSHhLLGUkL2a+XkcELvZn38z490z913aMGCMzTxqDEaO36YJp04UYvPn6cXX35cX3z1D23Zuk4ZmcnBEkQO4cnLCw89ierc38M76iZ41+6D5cKALct1sZUhz3RCXkGegaqsHQf1cHBPRlZGQOmmI9auX6tVN6xS9ZrVDSC21TXXXa11G9cFB/pkmp5DtwVtCKIdBTPkloLp0yI+yJ2eobQtKUrZkmy6cYveePdVzTlntlp3ba2KdSqobvOaatmzuXqM6KKuwzqp5yjTGSO7q1P/9kpo00CValdQjXpVNXz0UN16+83G19LVRdhn0QFlL7PzySnWRcPBZ95F58ArrsyY9ezZM9ijhRzTfxKesFFy+8rjc3LHfbznfwUKZKqkbPANu5hZLE73BmhxEB+2hIf/o9w+AVpeYDeSMJhvvPHG4MQUjiUHOPw7AS3Kh0EJyODqBj/3NEiuEI2UjXrMWNGoWHIJwSsEhobLlZmc0NAKj9flnndpjC5kv5eijt/Ei+A60aCj5SAf5Ic8UO90cPgTjnv8yX/0fQjeRNPwdAgLbygXPGAWlHW2zPIB1tnTBnDnJBmuLBPkhEKes7wSYM+SQTpkT5u8ck9+3FgivajbFQ9wzluc5zeafyf8vHykEfWHovHguMfP/f2Z3x8ohPMycKX8XCkzssCHQ9mPCNBiAIGRZerE5cAJnvnVdchfH2ghhyVGUslvnodAizYBH0NeIsPoAJZF0O7CGS7TH2lbtXnLepP5ddq4aY3p3bV2vz4YlQZkMYtVwMyRtYXgvgRo5QVAywCPGWVBHvYAaOG4xspt8LsYMFVgnYEBiiJmpSxeRtrtnlkoZqCK7boNoFQIEcaMA7svNHkoKNnQDvDKYTQ9fYuyMpJVkMv+CwOEADCWDVq+CyxM6tZNyswwQGRAi+VFuYVZ2pCyTi+//YLOWbZQ3Qd11mF1yqpC/bKqlHCYKjeuYNfyOqxeWZWpebAOqfp31UisroFjBmjZZRfok68+VnZ+VmDgcfR9cLiHgdzc3FI9hlx6+6ZOnAfOj1hy/oR1Sx1bebebPgzArfGAWcyg/nnu9R+/X8RxiffsQCac85Kr8/fXAC2Id7niT10xk37UUUcFA3XMbLmBCsXWjzv/vf8TZXX9QTlKdEgEaLF8MIt2xCqa1DSlp6YoLcVshpQtwcd/0RkbNvykdetWB9e09K3BLFimgZvU1GSzOUo/H+O8hZx3zj93pXnbNXk94wKwZToHYskgQKvIgBGgKRvdlp9nfvkGFrODD5OnpWdp3fpNuvOue9WwUaLad+qsy664Qj+uW2fhc5XFjD2yYWkwM8YMGUuukYdtLGk2oJWTkaWM5HSlJacaDzZr9Zrv9NLrL2jR0nPUvV8XHVajrA6q+DcdWu0glal+sA6tepDKmw45vGZZHVrhYFWtWUVDRw7WTbfcoO+/Z4VRuOceAnBhCyF7zi+cX+O5WN6gX7jnSjz0n6wM69u37w6gxQACYbFnKBvh4SnhvU5iydPa1fMDnSiXlw2eoDvYl9WsWbMAaHEwBtt1PPwf5fbpHi1vmOydYcbBv2t0zjnn7FhjDbkwHqgUdbHPvHw+m4PCoiFADkBoRA5KeA6Y8rD489tHSxAcDCwaNGF4zggKRJyx6f9WchfvmRP5I/+UDSL/OMpLvjAGyTdh4QPhySflITzv+jvuvHN0g4bf3FNmlk0yo0WHiRyxjARwxf41DHD8BwwYEHxDC7BKWqQJ0IdXEOni52CLvLrM4jyvUT937g/xHnmDuPff5JnnHh6/6HvuiNsp1kWfHWhEGf1K3XKFN/D9+eefDw574Xh3DsXg9C/q1ushyke/92f/NkDrZ4ZTyD/KimxxhSfoAV8+i5wDpDCI0swwysvNVFGhtS0DUznmzz6ETGtzOVYHeRghZhQEIMuACs+hPICLASFDPCV5ipfXUsJxdbl2/+B3yUEWArgV5YZXXxrJ/TYDYZYO6ZO37CyW5plxxQeT+SgqJ4QZZWZY3ixfbPDPM6JMLCvMJc8Z6cHJg7K8ElewJ8OAXX5RtjJz05RVkKGM/FR9sfpT3frATTp2ypFq16uVytU8RP9d7r/0twr/p3LVy6haw8pq0LKeRh89WjfdfbM+/eZTpeakKTk9RXzIOZ89cUZZzATmhYM0Tq6fnAdRPrhznoR+kMm1gcHCItOXRkXFBjrtt1PprKLLwc8dUYW0c50c6IRD1uGXyzz8jQItdD5LgWKBFuTx+L3HgZ5hBp3+gdN6WQURW19O7mL991+K1RdW9higxQAEQGuL2WFbNmzU1o2blLx5i1KTtxrY2mpAY6s2m99Ge7Zl8ybjd5rJdzh4E86CZ5nOYYsA8l6qc52Hzkd3pXnbNUXf8d/UVdC2TA+EM13blZ3DKYOmE4q3KyMrV1tTs5Sakae1G1J1/8NPqWmLtmrVrrPOOf8CffrVt9q41XQdh15YfHmW11xru3DHgVwQb+E20yF5yjbAlpmarg3r1gaDUhs3rdWbb7+mCy5crKRBvdW4ZSOVq1ZW/3fY/+q/Dvp/+vthf1OVOpXVumNLHTvpKN12O3bGl8anrECHbdy4IbBTsG+wMeLZF/Gcl9/DceVd7r1/5MohDgCtgw46KOhHWSFC2Ki95P0DbSCa9r8TUW7I+0lWNgGysBs48ZxJDOfLH+X2OtAi814Ir2iUIifBsb6UmQiOKWfmhufR8AcqRV3sM8oGeQOgMaBMaBgOsByw8Ix7hAPjias3NG9MEA052pi943d+7g0iz15/7hd1/CYvpIsRTX4cyJBvJ+rey8cVPhAvioB38XN/T5d75xNXgBKHfyAzfEuCEyz5HtOQIUOCY8LpPDko49prrw2WhQCyfLSf2T7i8fQ9L8TrefE6ii0nfuSTcN55++9o+Fjy8kEeDseV3zz3OKM8jjqP60AkHGVCNrlSTuri6aef1tChQwOgdcoppwQfYHQZivIjSl5HdDJ/TaAVUmAkYSD9zHBCPpCjUJ6YvYKXtDd0RJTYR5Fl4IBOPwRPHBIRAi5msfKRewMLpX78LpnRsisfA/21QCt673VdkG/1yYwVxzHnZ5phk6PtBiCgwgJr65Y25SkuLq1zNtnn5BaaYWXt0u4Zjd5qRtCm5BRtTUtVOpvxyX/JjFyu6c1cMwAL7Td5zzZDkiVSAJX8QtOr+cYHA1tpucn6afMP+uCzd3Xng7dpzrlnaPyxYzRgZD+NOnKEZi+cpZvuvFFvvv+G1m5eq0wDdCmZqdqwZaMZdBanlSXHeMbIOqPkyJzrJpdv5wH30d84l2GIPWlh/WJEGT92kIHEHSCLgRr4gpG2s/7AcQuZd+D/VyIc/KLMzjfXHQ60GFiLAi3ChfIT6md/l3v8qCuf0apZs2ZwKEY8oOXOfx84FKsvfg60gn1aORkGstYrdctW5WRkKj/b/DKt305JVcpWZrjSlZKcZn3sOm3aFA7iIuPIobfVcF8n8hqmHeUf5C7qtyvyd91xT73l0d6snRcWbVNmVo42bU6237SP7cor3K7MbACX2ZTJOXr48RdVo25TtezQQ8svvlo/btiiTQaetmaajmSZtaWRC5UALoBXoclEMEOdZ+3YwFZeptlTVv5M059FBiSDmaktmwxwvaFVN1+vaTOnatSEUeqZ1EODhg/UjDmn66777tQXX32641TH9LSUYFaMgXDnm8uu67doWd15mT1cNKw/w17xMNhA7NWnHWDzcAozz1zmSRd553e8+P4dyMtOueEFuoPzIVjxhN3A/k4+n+R88XrY126vAy2cNyIKA2H0sqemV69ewTrpefPmBYaTF9bD+/VAo6iLfUaZnBAAB0ZRo5/fECDFZ1wg/HiHd+EV70bJOxrnm6cTm4e9SeQHASZ/5JX8o1xY3shmTT5KyzHenDAHKPriiy+CfVYIN4qIMjHLBXjiioHoU+2UyctAuUiLMvIO6UC+lJBRCeLn2xIce0r8TK0zwk/jcmOUPPK+xwdFeebkdYe/O8J5+Sivv0ueyKsbXJ43wgCcSZt38IsaA7xDeMLwjHviIIznwV00bwca4by88BO+UW+cHMaMI0sH+c4Zp0o63wjr/IVcBuAN9+gLvh3ylwZaZiRh1PwcaJkMbYM/obET7pdA5pA35Bv+5ZuhYOEKjYfIud3nGV8zDSwwa5SVmW7gJCsAV8UlxhP7pbiyfyHYw2D3zBDFy18sefuJOuoLmeaEsqysdANwBviySBsDBLK8WD4yzNDDiNqakqaf1m3S1z+s0adfGRj65Gu9/eFneuujz/WmXV966wN98f0abUrLVJoZRenZ1hZzMMRYVsxe14wAbCVvZVAlzfzNgGT5oAGWvKJspeekKCVrq1Kzk7U1fZM2Jq/Xj+t/0Ffff65/fPahPvzkfX329adas/EnpWSklOwByTRQZwDN8plmwJXfgC2An5cbOUX2uEZ5wL3LroclnMt4WG+mN7PNQDMAmJufZoZluhlrpgfTtyg1zQxc4xezdz6DEI3PHbchxa+bA5VwsW0fHkeBFh/3Z89FPKAV5TtX5z1LlH3pIAYqh/DE4yvO83LgEHIZpVKgBQG0gm9QsYeRJbcmg1Cx9TvF+WZDBKfv5QYf5U7ZCtgCOGQE7SvbwBgyixwWFjGAkWPti0NzSnnn9Kt5Z+/LwBN7piDLbBAnh22gG5jFyrP7DRu3auPmNG1JZtlggTZtydU332/VW+9+pSXLr1XF6o1VL7GdpsxcqFfe+Vhf/rhRG6wsyaYjUkwXbbW+dmN6mgGwNCWbvki3MhE3h9sU5FkflWM6FcCVZX2yAc9gMMoow2wH+pxvv/tW33z7jT79/DN9+fWX+mntGiUH3zNkUMvarum5/FxWI5UOvng/Fk9PRK+EcZvAbQG3IVw+sV/4zTPyA9Bi6SADlhz05c9Ix98PdU2YF+JxnhOfk/v9Fcl5Dz/g36pVq4KVUBwqxxYUBuKdL14X+9rtE6DlgkWFUiCMXw556NOnT6DsOBmOpUBeWK94v+K4HigUdbHPXLApK40B4UcAIO7xi5I30mgD9HB+dT45/yCcp+N+v4fiOfxJn8YNQAJAQ4AcGv15550XnCrHtDbHd0OsJWY/DpsQGUlEWfCO7ysjHgdE8CSqlLw8DkxImzDwhHD4O1+4B9wQlwMtCH/Cx/IK57+dvK7ckQZxel5d6eHn8ePnyg3/cGbBDEz77fVM3j0ceXE/f4/fnj93sXk7UMgdvPNycQ+YxlhCBzCjxRH8nB4JH+ApYalLwkNeFy7vf22gRXuGKDfyHwFaMr/tphf4lowZO8XFgKTSUWZAFst7QsoyMGXylGtGuhkpBSZrABFmrJhFCk4lM4MgAFWRNMS9UwDu4uVxZ4ptK/hRz9Rn2Ab5lgwDR7QTa+dG6dYGMix/m1PS9cPajXrno091x4OP65xll+qEaWdq+JEnq/eQI9V94AQNHHuiJpx0ui66+mY9/fKb+uybH7UxJUOZeaZ/jJLNGNyanGJphO0uGG03kMUoc25+ZslR0AZqmNmy35k5pmNyjUquuQXGl8LcYD9IVrYZYGYwsck+JS01AFcsFUw144zlg8GHUyljSTm97NHyu8MvyiNk1GWc+gGApqZtNH5sMIAVgi2AFn5bDQiyPyY7h5UM4b453oev7NWLdZ7OX4Vw3va5etnRpw602IMbC7Q8PFcIR3z0C+hXVjk40GJG668ItFxvxAKt4JMNzCSbrLMXspBlbukpykqzdmLthqW62wqM1/lmc+RaX5oHAGG1CbolnOHhG3scr15QxKwu+8BLQW3U/TxvuyEOpmDPaaHFVYTuCdtOrumstHTrxzOyrT2ka+PGVK3fkK4f16Qa2Fmrxx5/Qxcsv0HHnzhPiS16q0z5hjqkbG0ltuyh46fM0fIrbtADz7ykdz/9Uqu3bNUm0zk/Wf+9jsFd68O3ppsOAUDmmy1h5czNNjsry3RFhumDTNOTBtDyswGjRcoyv3wAn1GO6dSAH8YX9mrSlrMZhGFWndlu4xODW8irE/LpMurOy09ZeYY9EOqG0MbBTsDWQIfSJ/Ib+4N7bAtW8bB0cNiwYcFSfN53e4QrxLvep5IPTw+Kyv1flSgj5ab8tH/Oh+DEcw7E4GA1JgScLxD82NdunwItLzSCcv/99wfLvJi+nzVrVjAjwTMvaPSK8/cPBIq62GeUCfKGh/KH+A25UPgz552/ExvOn8emheMd5+neIM+7O+4RXhoyHR3H0t99992aO3duAKqYnuXACjYecmX2kqWiHOfNaAKgi2+gMOXtB3y4UnAQAh9iywxfUEKkzT3h8Ue5cE++UDCuXIgrCmx2xRMvX5Twd0deiBdgyAwcxH5Dyo5MM4DAb0AAAwd+cAnhUYqkD0WVH3GSH/JJmTyP0XrFRfN5oBD887xTTuc9ZYNX9957b3BqUo0aNTR79mx9+umnO+qLK+Fi68P9/tpAK6SwzMgBHXNIUYMJCkeomcHilECALIMvDMYwam36wwwI3+OEARMaRbQlltyxbI8lguER0CwtCgwzwuw0o/XLHXG0jvw39YFM0y4zTOZZcsfG9AwzSlKNMsxg2WIG1Eeffa17Hn1Gpy9YrJ5DxqpRu16q2bSzqjfprIoN2qtsnbaq1KiL6rTqqSYd+2jYEcfp3Asv1RMvvBYsD8oywzA5LVMbNjIDFK4CCGb68rPNQEtWNicUbrc2ZbxiCWF6lhmVeQbGzEjEaMzNM31jBmc4Wo8+DgdEGEHPsjaaZXklXp/NKrby8VFlyuiOMruL3kcd/sg/7YC2D1/4hhmgauPmH7Rm7df6ac1X+vGnrwNav2F1ALRyczGYGHwKdRrvcxgHh6FEkyL+vxLh4Bd85oo8uZ53oMXH62OBFu9G3/P4vN9gRos9Wtge9FMcyuPhPV13/u6BQ5S3tJ3TnmnXQdsu0Ru0fb4xFxxGA9gyPRB8RsHkfZvJ1TYDWUV5xu88a8P5JVSI3mbQy+SO2fRt9l7JB4PDtH4f74qJ20AWeoorM1zUdWZmlgGsVAMbWdYetto1R//85Ds98NALWrDwYvVNOkKNGvdQ3QbddFil5jq8aksdWj5BFWo0V63GHdWiS5IGjjtGc5cs1xOvvqbvTE5+NJC11sDL+tQUbWZg1wBVMGNmwDInK5zRKzAqZNmyUV4WM35WfuPBtmKTI7svBIwar/JzmQ0zuSxZOcCx8cWmP4JVAlYmyhClqDxC7uCf60vsA3SYt3XXofymb8SeQN4BCAAtDoRBjlmKz3uEdRvD7SD8iYc0SMvJ84OL5uuvRJQR3tP+4ectt9wSAC2+pcVBfJxEDV88PHzZ126fAK1oISg0RumDDz4YnAaHsuN7UMyCwAwcBfUCc8X5+wcCRV3sMxdwJxcAyBtjlGLDu9BwhdyPq6ftYWPT/j0UTRtypcDMBICCJYGsfR08eHBwMAUnAbLhkH14fHyZI9gnTZoUzG4xbcu3rQiDkXzqqacGM2AYz8gGoAQF4aADo8f543mIApLAKLJ7FIob6hD5w9/jIM+E/y284R3eR2EBEigzMkueAVcAKpYsPvHEE8GeAUZKOA2LvYjPPPNMsCwO8IXyi80XRL5cEUD8Jl13e7s+/wgizzju4R3lov64p7MAlPMBbnQA4BwZggfRDsHjcXK+sD8PoPX3v//93wxo8ds6cwMNEPt7uDJKHZ5UBw9oo8iU/TZ+24OS5TjwBZ6a7jAjK/yQpxlcHEbhxtg243vJ0sFfM6MFkV/q14n68PaYaSCB2aA0az/J6ZnanJqh9SlZ+vir1bry5ns04ujJqt2ym4GqlirfqJNqtRugxJ5j1bLfUWoz6Di7Hq2GXYarWvOuqpLYRg3bddeEE6fprkdMb2xKVkpmuPQwN8/SM8CUkcUSvMwAbOXkmZFiYCuvwAyXwhy7zwz4wwwgFCyFCpZaYiwZj4NTHck/uibUN5Sl0Iwo/3hqcAR1iUxGnfOBa/Q3VGRGKvKdY2AzPT3N9MhmrVv/kz79/CM9+/wjuuHmK3TRJedpxcXn6brrL9VjT9yvjz5+T2vWrTZjc7NSUq2czLBhPOUw0IQ+I274f+DK+a4Ihxy5XFEH1EUs0OIUsXhAK0rEAe+RRw7DYKUFeoclV+gOD+Ppuovm58Agyk9Z6Odcd4Rt2wdnAj1hOkN25TCa7Qa8gk8vmFxvR54KjQqM5wGZxjFQURBQOAgRDFAU5ahwW24weBFv7yCO3+7/SxS0LwNZTtQz/UWKAaLNm5OVmpat1T9t1NffrtPSC6/RyHGnqGmrfqpQpbVq1O2mxNZD1aj1MLXvPVHteh+h9n3Hq37bvqrRrIsqNWqjpt2TdMLsebr76ef11YaN+naTAS6TmfXWl6dkmJ6wstHeAU6FBriY1QNwFueZLs0zubJ7prE5OAOwxf12o22c/oqOCICXvWf5Ng97aOGtXFEZjJYXvkDu8KPM9H3YPg6QnAJemK2F7fHFF5/pvvvu1QUXLFHrNq1Uvvzh1o9208qVF+n9998z22RNoHNpJ9hTXCH84LOnDXm+PA9/RaKMrsOR4VtvvXXHN3w5iI8JAp55+Gi97Cu3T4BWVMi4R2AeeuihYH0p0/czZswI1knCDJ5TUA/vzn8fKLS7PHv5XNBdCLz8ToTxeAgbj6LPPHz0957SL4XnOXmio0JYyS8KAIOZY9MvvvjiYHaCZWDMWLH3BiFmmpZO8bnnnguWCj722GPBaYHsyyMMx/u3atUq2KMDSOGoTeJkuhxlg4JB+cAbzwNpkw9vHPh7viB/D0K5cI3K1u7KGnX89nrgHeIGaJE/FBgACwJAcUQwh3IwS0d5GC1p3759wBOOEJ4zZ45uv/32YB8Z75If8kx85NHz79dofqP5O9DI8095KBdlgjCM4Ee3bt2CmU5khRE66tTry+sqyguvDwAuxlIUaBHO03Xnvw9E8vL7UsIAaJUYUsUlBySEI9YYU6XE82BZIKOqACaLwzztGURcxstiqwve5zTA6Ki33ZeOhJPmnskfzuuHenCizqlPdEV6RrpS0vkWVZbWbUrTPz79QTfc8ZjGTpqt6s17q0yDLqrTdbTajpqqHsfOV7/JizV8xgqNmn2phk9fod7HLVDHMZNVq0N//b1WM9Vo3kUTT52tB5580QymNGXl5lsaWcGpgBnZZqzk2r0BqtxCS5+PnZqRWEj+AsOQfAKy0GWR9oZ8sYTJjCeXNafgI6pWRgCXg6ywXkLeBmFK/AE/YFv/LhCb7jHmMrOzAsC0YdN6ffnVZ3ry2ce0aOlCHTtpvHr176h2XZqoTZdEderVRkPH9Nf0M07VDbddp/c+fl/f/fSDgdR0pWflKC2TWbiCYCQeA9GS2ZHPvxJRB07UEbxlsIoVMWXLlg2AFnqX1QU76nBHHYS6w+9dFtkvfOKJJwa2BwODzz777A7dRJq46PXAorD9h99js3bs7ToyCx4Are3hIA2Aa1vJzBZgC6AQtgHI5Bs5DgYesFGsfy0MgRb7vJjVKia+QF+E6UfdzvnaNdFGgo8SG+UW0Fatz7a0OJp9g/UTm5NTtWlruv752Xe6+qb71LnvGJWv2VpVG/ZQ065HqvvIGep31Fnqd/TZmjDzYh195mU6YtYKDTxhrjqNOlE1O/TT4U06qG6HXho3eaaBrRf06Y9rtXrzFq2x+JNNL/GNLvRlMBMFUDIwFZTfgFQIPtENxkUAmPlzH15DXcFMXKHJUAC0TNbQmy53LldQlC8889/ce9+HrsQu4Mqg89YtW4M9Yqt//EFPPPmoLlq5XEOGDVLb9q1UvXZVVahcTnXr11KPXl112ulTdP8D9+qrr74IBoPTUtOUkpwSEPGRRrSdeLvyPP0VyeuBctLO77jjjuATQAAtDuIDaEXryHmzL91eB1rRAuMoLMLDl90BWhhZ7M/AWOcZ5Izxd6Jx/FWIyowlL3e0/H8E7S7dqD91A+hBWPnNPR0cS/8AFGxMRniHDx+uq666KjgIg+e+tI4OEgDFUf7M8HDMJh+OZGkhxjKzGizr4B3Comxc+cAfz4/zKppPb0SEdeDiFKtcou/tjggbDU8cgDjKQtlJi7yyNvqMM84IZmeYzQM8NmrUKPj6OLN2LI0DeNGps2+NPQGANfJJfFw9PspAfp28PURdNI+Q5zOa1/2FyD9X8gb//TcAlWP3+ZYeOoAlpMwQUmZ44OXmHeeDxwMByKNACxn0MFCUT/sjX34blZYDoMBIctTQd8IvWOJTMmOD4UXHHyWMI575qPfuac/45/ULce+/aYOhrGcohVPNUrL1/Y9bdP9DL+nokxaoaZcxqt5qmBr1naTeJy/V6IU3aMy5t2jc4tt11LJ7NHHp3Zq4+A6NO+t6jZt/pTpPnGmAbITKJ3ZV3da9dOL0BXr93Y+Vk19kQCszAFSZBqwy2BPG0kArZ57xK6/IDDpjhYmDUZhflzdvd553l7PdUcj7UoJX4TOL27ygIvsPAuCRr/TsdG1O2aSvvv9C9z98jyZPP0nN2jZSncbVVLNRBdVtVln1WlZRlYbldFitg1UjsZJ6DO6mhUvP1vNvvqrvOeAnMys4DCTPCpNfYACOJaIR2Y9S1MV7vj8TvIzKEVf86UPY412mTJlgjxZ9DSsKomH9feo0eo+epe+ZPHlyoHcGDRoUrDjAn/ecT2H9lvKP+/2LdpWnkjZbssR4ZzJgFaFtgKydCD8GEdALIZUO3sBT08mR2fSQAG17ph92Rfa2chkQKc5XtoG4jLws5RqgyzG9scFABoferF6XrDseeFqDxp2kw+t10ME12qlZ3+M0dMpFGjfneo1feKsmnnenjl1ylyYtv0fHnX+bjl18k8bNu1Rdjpqpuj1G6tBGHVWjTQ+dPG+xXvrgE327YZPWWD+cwrLc7DRrp7kGLJnhN15R/9ZuoQBMBbKFDQQhYz/XdYHMGBmTgnLt5B8pb6xz2XRd5HYBxKTExvUb9P133+rJJx/TSScfr3YdW6lW3SpqYXqjcYu6qtPQdEfdyqpYpYzqNqihIyaO08qLV+jpp57Wpg2blZEWxoM9FdVzOPKHXzR/fyWCt5SRey8ruqNr166BrcqAP0Ar+k6UP/vK/WFA65FHHglmNBhVOu2004J1ki64hHXm/FWJ8kUJgYileO/tC9pdmtFnCCkdkgsiCoHlcgsWLAi+XVWnTp1gkzFTsywDA0z4rA9KgxEVpr7pFPHj9EFGF5gFApgMHDhQN9zAB/++D8J6Wg60yAPO8xXNI89dUbkycSKv/r6/s6fEO7yP4x4AyDS8jzq98847wf4ijH0AFktRAIzLli3T4sWLg2cTJkwIZrcAYR06dAgOf2EGBpDmfImCLSfKQdqkG3Xx8ugU++zPJvjO1fPn9QDY5vSfjh07BnLDMauAJ8pLnXk4KFp/Hp/v0Tr44IP/jYDWzuTlinX+LFzSA0/iA609A1nQL/OPevG6c5n1+kKOke/0dA6sSNPmzRl65/0vNP/sy9Ss/XDVajFErQdNVf/JKzT2nNt0xAUPaOT592r0BfdrwopHNGH5Qzpi2QMaf/6dOunSBzRi7mXqe+JCJfQap4NrtVLzzgN14aXXm1GWpvzCImVaO0rNylCyGVBpbPYvNL1lhlEAtMx2tFvLW2hkkN+ozojK2i9RCLRKecvvYCYrArQAQoAs9nVhTGbmZWhL2ia9+d7rmjn3dDVpnaBKdcqqZZdG6j+mm0Yf319jTxqoQRO7q12/JgYkq6lyQnkltk/UrLPn6MGnntSPm7dYPJZnywPx5luh8i3/nu949YOL578/E2XxMlEvLlcYjXfeeacOPfTQAGhdffXVgS4lLEQ4f5869Xi4d6DF5yQAWgx+/SWBVsls1m6BVmSGKx75vk3I4/BnDrQAY/HzsedknA5mnXOLC5Rn8eUU5SmHWWgDWikZWXZfrA8/+14nTJuvms266dC6HdS499EaOHmZjjz3Nk1ccr/GLb5fx1z0uCYsvU9jF98ZDNQcs+xuTVpxt8afdbV6Hj9XtbqOULnETuo8/Ehdeus9ev+Lb7Rma3KgK/IKsqws7DeDrIwlJyk6uWy5fDlF/T2slyueHxTreO7xoYewKxhMYEA31WR9/bp1euH5ZzVl6slq1aapqtUsr15JHTRt1vGacNxQDR3TW0NH91bPJAOfLesrsXl9de3WSTNmnK4Xn39RWzZx8nJ46nF0xYzniysumse/CkXrhjKjA9gbzpaWhg0bBkALWzVaR16v+9LtU6DlhcBYZQkZhjVAa9q0aQGq5BlEOGcO91Em/FXIBcDLGY/ivbcvaHdpuj/1QiMFAHCPwNLhPfnkkwF4+O///u9gRoc9SRxs4gALAnD5zA2/mdJGifA+QI2ZLfbrsaeL72HxPSWUjQMOB1zeae4qj/DSZcgpyuPY9/aEeA/FhOMe2aUc5A+wwP4AlgoCotiQyizNxx9/HJSP55ykx4wXx4jycUHCMYtz1llnBd9zgTcO3BxsOflsHOlGXbw8OsU++7MJ3nP1/HldsMeKem/btm1wQApfaPdv6VFvHt7f8fc8PsKecMIJgbEF//8DtEqdP4uCKQcDTvsCaHkbjdYf97Qf5JljmlPTc/TjT1t11/3PqP/Q43VYjQ5q2GmChhjIOnbJvTrhkic18eInNeKChzTywkc0zu7HrnjMANdjGm9g6/hLHtKYc1bp2PNvUNIJ81U+sbsq1GtjBsdUvfXBJ2aYZSvD2lFqpgEtTjfMMb3DvhLyx9IfA1tFhfAnzDP5i+bb5cx5+8u0czh7LSBAVhHpWXwFpGGeOQV5Ss/hhMXvddvdt6jvoJ6qVLucWnRN0NHTRurcS2dq+ar5uvCG+Vpy7RzNOH+SRkzqr5Y9G6t8nXKqllBDJ02fonc/+acZh2aA5hcEwDLK62gZovk6EIkyeFlcvigfupUN7QyyALT4XiKrJpwP0TokvPtxT38SndHypYPIJ89xnjZXd9F87R+0qzzFtt1SkFRKvx9oQQHQCpYoxsvHnpNxWvkGsAqMCi3PecX5yuKzB1ZXmbkF2mI649b7Hler7kN0aK1WqtluiIZPW64TLrjHwNSDGrf0AQ09914dsfJJo8c1esl9GrnoTh154f064eIHArB1xNlXq9vEmarcqo8qNeuoY2fO05Ovvx0ArXTrewuLsWv4RlV8oOUy5OTtzMnD7FSuyLtR/1jHc4+HPt9nshiUTk9L17dff60Lli5Wy1ZNVN1AVqeuzXXmgsm66sYluuSas3XJtecE1/OWz9SkyePUsUsz1ahZQe3at9T8eXP15uuvK8XaDLIfBVqk5/mJ5u+vRJTRdQBXdAjLjrFVmdFiUBwbNFpHzpt96fYJ0PIrREExLNmPw7Q9QIvDEECVLmzRwnIfK6h/BfKyUrZYihd+X9Ku0nY/8km9OdDinsYKoLrwwgsDYxdiWRz1iKLgG1YADeqaToz3eAeAggKhY4QIx/4mZIAZIWY5me1k1tPTc+XA1fMYlSnPpz+L+vnv30rEgSziuCf/DrT4Phhr/Tn1h6WB8AIjAP6Qf8rGb3gA+OJwDMoHsGBvEqdlMcDgyyR9Fs/L6wqRdKMuXh6dYp/92RRtw074MXvFvj6fCYQX8ItnXuZoeCeeER9Ai8NV2BD/7w60IHfRZ6GxUAqmHGT5770JtLyekH2u7ked0IZzcnKVncPeqUJ9/OlqnbPkatVt0stAUg/1HDtXRy+8VSde/IROuOJ5Tbj0WY246EmNuew5jbviRY2+5GmNN7+xKx7XUSsf1vjFt+qUi+/T6FkXqW7HYSpTs5U69Bqu2+59VJuTM8xAy1cGB04YyOKDw/nsRwvyySyWySR7LgL+hHkmjxD37g/FlnHPqBRkQew/4aTCfDMe88yYS81K1jsfvqnZ809Xw2a11bhNHR09fZTOv3a2rrl/ia554Hxd/cBirXp4qa68d7EWX3uGjps9Ts0MjFWoV16V6lQ1g2qpVq9bGxwuwsEaro8h7inLb8///kXR+vByolOvv/764FhrlqszM86AVVTuuI8l+IJuZZ8s/c1fc0artH2HVAqSSum3Ay1o53DmFzcfe06WYwNYRQa0mKUtUE5hrrXhHOUWFiunoFiffbtG0+YsUs2mXVSlWS91Gn2aTlx6hyZf9rgmXPCARix5SIMXP6RRK5/REZc9r/EXm7646AkdeTGDM/fqqGV36YQL79CYMy9Sk35H6NB6rdVp0Bjd9OBj+nHL1mAGvJD2WZClokK+C2bligO0ouQyFeu/U7l24R/reO7xId/YAtgEweqZ9Ay9/uprGjVymCpWKqcatQ7X9FnHadVty3XVTYt050MX66Gnr9btD6zQqtvP12XXnKXJ08arbftGqlmrorp26aBLL1mpb7/9JrAv3LaI1ROkHc3jX4Uol+t2LzMH8fXu3TsAWuydZ2VVtPzcw5d96fYp0CLzFBZDnFPmOJqSk39OPvnkoLDOEMJG72MF9a9AlClK8cL82US+qAPIO3KMJieABsfksk+GkwT5PgkHQwCgfJYG8vC+TA5CiTA9TgcJ2ACk8V0DNinSieIfVQjkgSv5chfNp/Pw1zh//5fIHUoqWg7/DhSDBZyqyCZrwqAoCedgy4Elz1lS2KVLl+Adlkwys8ssH2GJl/cop5cpSu5i8xcNE/vszySc54n68zxSPg6/Ybkgx/yj8KLLf7ye/V2uLofOG5YO/rsDrV8myo0O/b30y/zDeT1F6402DMjKyspVZnaBtqbl6oXXPtLxkxfosGptVbvlMI2cfJGOPvcuHb3iMR11+Qsaf+XLGnftG5p48/s64sZ3NfqqVzX+mtc05hIDXisf1REr7jNQdp8mzL9SrQafoMPqd1T9lt119tJLtDU9WzkmBzlFlm6R6Z1iM6AxBu0P5wddkDcnl62oX2z5dk3IWYSsmQLm2MtRaMRsFt/gyudkQ8vH1vTNeuSpBzV09ECVr15GHZNaaM6KU7T8ljO08o45WnH7LF142wytvHO2Lrlrri69+ywtumaWxpw8RE07NdJ/HfRf6tGvp1549UUDremWjoHXTL49mGa6I9w/i86MrYdfV6b9g3DRfHv/gz7lhFuAFjNaHLgE+IrWIbqA37zHb+7xIw5WGXD4EkuWGezFFjnwgNYvUWwbNoqApZ8Dpp/TroDWzlSqc38P5QffvcsJAA9tJRdZtnaak1+otz/6QsOOOFGVEjqofteRGnDSIh275A4ds+JhjVn+qMaaXjjimjc09qo3NPySFzT2ilc08ZpXdcw1L9vzhzRu6V069sK7NeGsq9Rx3Kmq0Ky76rbrpeXX3qSv121QuslUHnvCcjOs7bBPiz5mZ33g8uAU+yz2+Z4Sjndddmm7yKIPuHKYxSMPPWw2Q0dVqlxObdonaMWl8w1YXazrbjtHtz10vu558kJdc8cCXXbDmbrhjsX2/EwddexgJTapGYCtY4850vrH5wMbhPbjOsJtK0/3t5Zhfyb46ryl3FwZyAdosXSQvfV8Vsb54O9w3ZdunwEtCuGKDkOUUST2s3BQAAYTBydEC8u9F/ivSJTTKd7z/YHIG3VAXdDoHWgAMlAEfH+EKdjDDz88OACDfXZ0eEx7OxgBcEH8BlhByADP6DAxrlEAdJZsUGQp2YoVKwJDmpkjVwi84w2GvOGi+Yz64/xZ1C/WRcPEI4/XHWUnL14mlg1y4AUzMuxTY5YFXsEb5xO8cNAJoAIQcPgL77FUEuAF6PBw3uHvLh/RZ9HnUOyzP5u8DUfbM/ccfsMBGByEwmwgo9LIAWHgMeG8TPg58S5+yAdLBzl57D9Aa1dEueH576V4ce9Mzu8or6mvsK3nKCMAWkVavznLgMYbGnfMzGDZYP324zRi6qU6cpEBp+VPaPylL5rB9Lom3PCBjrr9U4276SONuOZtjbn2XQ1d+ZwGnX+/xlxwr4668B4ds/hm9Tlmnio36akaTTrr1NlnKT3XgE0B+zxMVzFCboZbkV0pRwkK0na+02OAK55c4Of+v+QIYkGDaLkPKEwiBFkcF23lz+ObXkW5yi7I0up13+mWu25Qr/5dVK3uYeo/tovOunKKlt46XSvumqGL752pS++fpYvuOV3LbjtNK+44Q5fds0hnXzpLfUZ21WE1y6h+03q68NLlwbHvfJSZjfx8+Bgd4zoK3ntZIH7HlnV/J5yXg9/IEn0C/QbLjgFanDrIMkL6FS8j4eEB+gCHH8/wg7A10MGsLOBALlbXuN718J6mO+4PLPK2G0NxwdKuyYFWfApnyeOn/2uIJXO5KiwA5FBHoc7IzjFQnZqpZ15+Rz0Gj1elxp3VcuCxGjlrpSacd6vGLXtAoy96SmOvfEVH3/yhRqMjLn9NowxwoUMYsBlz0eMat/wBA2X3asI516r7MbNVvV0/VWnWWQsvulKfrV6ntJx8ZVu7ycnLMjnhNMadgVb8PO898nQgZJA2DHG/ccMmXXftdQaaGhnQKqvjThylVbct1S33LdXdj1+gWx86S3c/eZ5ufnCBrr9nvu5+dLluvvsCLV42XUOGd1PNmoebTdVcV1xxqfW5XwXth3YEeRshXX7/EWX9o4kyuQ7xMj766KPBADl2G9/wjcUeft2X7g8BWnQIrIvma9YcosCmdpZWUfFeSGcOjt9/NaJsTrHP3MX6/9FE3qgH6o2OiEYK2OJKHbI/CyOXzo5vZbEczAEGMzS+JI7wvA/Y8lkbnjFrxcEYgAw6S2azMLz5BhXgA+CBvHja5McbRNTtKu/x/KMu3vMoefkhHPLp8gugZBaOzpqDPABMlMnD+PS/Lx2EH5SX9cCASjp4ZnNZesh3XQAZhHFF6PIfJXfx8ukU++zPJsrBlTLBG+6pQ0D5kiVLgllM6hyewB+eeTgvk9cBxHOuzJyiNw455JD/AK3dEmX/vRQv3p9TrAxyH7aXHANZGDPbtWFLtu575BWNmHCaKtTrpibdzXCafpUmLn5A45c/pdEXv6gRV76hUas+0NhbPtZwuw69+l2Nuv4DDVjxvIZe+HgwSj1m8e06YtHN6nXsfJVr2FU1mnbV1DPOUW7xdgNbgJrcAGgxQh58Y8zuZUacOO4eOTGgFc17lLwMv+QsmMweC4EWzdNe4crp0OwFy+dUQI6Ot3RzC1nKmKqvV3+uq2+4VF17t1ODZtU16rgkzb9sks6/bbIuune6Lnlopi5/ZKYufmC6lt15qpbdcZpW3jVPK285W/OWT1fNxMo6tOIhmnjcEfrw4/eUl59pOhkdy0dOw32w8Nz1pJO3wwOJcOSb/ONCWQo/KcIgF3u0KleuHOwLRnd6GQnv+gaHH8/cDx3MtzvZL8u+WQyvvx7QgiiDUwnQYinhr6LwvRBUxRL1EvLp95Hp9YI8a5r5QRstzDfQkxUCrY2bU3X/4y+qXa/hqpLYTV3HnaZxC67W+PNv17iLHtWYy57XyCte0ZhVBrKufkfDrnlXI699T8MMcI247EWNufQZTbj4UR214j6NO2eVuh97pqoa0KreqpvOvvgqfblmg7XLfPEhdWbVwg+179z3ej6jbuf8/3aKTQMZRBYhbK1vvv5G5567SNWqVVGFSuU096zJuv2Bi3TjPefozscX6Yb7Z+uWh84woHWGXefpnieW6o4HL9CqW8/XtJlHqWnz2qpdu4qmTD1F77zzdmB/ES9tgTbheoJ2Ec3HX4Wcv97+uWcVke+XRw8AtLz8Xrf72v0pQIvlZ//4xz92MIJ3ogoW54z7q5CXM5aiLt7zfUVRx2/y5w0RIaTOHCShBPj9+OOPB0YyyzeY0WJPFsACcqBBB+iKg5FIiNkIZn8IA7G8jv06LD9s3bp1MNPhQIu0edeBFnmKl1/Pczzy57t6b3dEepQZR1yuAJmJ4xsMAC1mp9ifxagq5SXPlAt+8Zty8AxACaB69dVXg+WyfHMMwMVxo/CDsLxHesQB770dkBd3sXncVVn3B/L8wzPKhB/lAmgBqAFazOzdfPPNgWwQBj1AOC+T8wHyez/eHWPrP0CrlFf+O+p2F8bvfy95/UD89ripT5YOZmbnKSuvWJuSs3TXA89r4KhTVLFeD7XqN1njzrjBgNZDGnfh0xp1yUsadsXrGmoG07DrP9Qguw697n2NvfkTDTAQNtoMq7ErH9GIRbfpyPNuUa/jFqhM/c6q3bKXTp9/vrIKtivFAEdmvhlOAK1tJndFuWZAhUactpkxzSaqkiOYY52XJ96zWAfIige0TAyt3ACt8Oj1QjPecgqylV2YqR/Wfq3Lr71QrTslqn7Tqhp9QpLmXna8Lrhrqi5+cLouun+qVj44xQDXNF3y4Om6+P5ZuuSeubro1gVasGK6WnZLVLkqB6t1h+Z66dXnlJObHgCtXPajsWfL9CRtjbbg9R2tlwOJcOSbMuAoF/oRoMWeTgZZHGjR10TLjA6B3BEPvwnDUnWWDGFosYSIb3qi13mGI23i8Dzgovk6MInyQMiBX/ecTNJ3SfHT23Oi0RQX5FvzzLdrnvLNtsg3ncFeypS0LN3/yPNq1XWwKiZ0Vs8jZmj8wmt0xLK7ddQVT2vCVS9ruAGtYVe/qaHXvqtBBrZGrHpfQxmsufIVHXntyxbuKR2x/B6NMoDW6cgZqtS6j+p36qcLrrpJ329MVkae9dfZYf3zyQv/ALPTjnzGcdFyxNIvPSfuqHzjyANtGNsBWf/Xvz7VggULDSzVUK26lTRr7vG66+GVuuOR83Xrw/MNaJ2uWx+dpTufmKO7n1xoQOs83f7g+brj/ot0zvnT1LlbU1WvebhGjBgS2NzYGNgXbmuTHnk5EPXDnhCOq7d/yozdCtDCdmNm+5NPPgn6Ka8Hf29fur0OtMh8lCgsAoRhxIdcAVp8S4mT5rywsYzCRf3+Q3uXYh1+1APCSUOkXgBW0Rkm7pnR4thyNiSzhJClcb4cELBF58d7hOcK2KCTBFRwhDth6TwB2ayZZyqXQyKY3SAuFI6/70DLKbYM+4KcB64MIRQVSpC8AxSYzWrcuHEADt2fvKLMyDt+8AJ/B2LM3rLUkA87cxgE+w0AnzyHr5Q3qvi8Tg408nzDN+QGOXLC2Fm0aFGwbBCAzceL4RHyFlX+Ud77b54xo8UsKkCL9/kYtqfrFA3/H9q35HUERf2o69y8/ABoZeYUamtath54/FUNGzdFh9fuqoSuR2nY1Ms18fyHNPHi5zXhytc08qo3NehKIzOaBgb0toZd9576r3xBIy55WhMve0Jjz79ToxeuUscJM3RQnXZK6NBPK668WWm5xWY4WdsrNIPNgFbxdutTfL8JICtAR9ahlgCt30X0y4h5DBE9R8iHB2IYD4oKlV/MfrFsfbfmS1256v9v7yzA7CqSNvyvC4u7e3D34O4S3N0WX9xlCQ7BIbi7uzsLLLK72LK4e4h7gP7P23O/SU2nz713hjvJzKS+eWruOe1aXdV2zgzLrbp4mHvhmUKPHVcLR16wezjlxn0LJWu/cOrNexa0e1S2ULxOv2n/cOaNh4RzbzouHNPrgLDi+kuGCaf6c5hpjunCXffeVvCXPoWSBc8olK2hbB1suqFV9ZDWSWeiNN2xLRW8kTGEjxSjaGnrIJNY6u+4g4co7xDvjDXwIc6DM5PNGS2+/8hZW3i2jVdx8wtk17WoSYn6ZfTL2xYdKSpZw4dERWsUk3LDWXH5OfT5YVB48LF/hMVWXC9MPueSYakee4Qtj7owbHnitWGrs+4N2178dOhRKFTrnPNkWLfgG2ud91xY69xnwlpnPxnW6/VI6HHW/WGrs+8J25x2U9jg4F5h4Y12DVMutGJYfI1NwqU33hU+/uqH8MOAoQWP4rKvIk7GngpvsO1AsOluJCku2imyA+0Reu+9prPMc845S5huxknDPgduE667/fRw6U1HhqvvOjJcd//h4dr7Dw1X3vW3cNWdB4dr7jw6XHHTMeHqm08NZ557ZNiwx0rxAo3VVls53HHH7XGil34wPo2L4gviDcitTHCjaPFpKRQt9fOxhXZTtFSxMDqETwQjvi+EosUvV11rgBBZpIXn1HgS9K7Gqc6P4kAd8YsS9eyzz8YLTSaeeOK4KsEhY61oaVULZoHygHsIBYrOzi+KBe64BYZwUDw4t8fhZPzCEGgrYjpqR/zadLcXqR3yrLZJHkgLAzurcKzA8VFirglFACC9Ugx5Vh6wg1C0dD6JrYNcBoHQwAoNZYE9fpXPsZXX9iCBvNDvaUf8QtxOeeyxx0ZFC2Wd7+KQf7U3/JN3W988QzyjaPXo0SOe0+BcHzdXKl6R3IPUzqmxpLaaEv0GRWvAYK5cHxr6FELNY0+/Fnbc86gw+azdw4yLbBTW2u20eEZru7MeDltfUCha5z1dCE5PhfUv+kdBLxRK17NhQ5Stc56INxBu3euusEXP68J6B54VFlx35zBpt2VC97W3CLfc+2ihZI2KihYrWkNGDgkjCgWn6aOqKFqjlayGKFoFpUoWyhfRNClaRfulDEaNiGe0howcFD758oNwxXUXhVXW6h5mnXeasM6Wy4XDz9k1nHbTgeGMWw4Ip960Vzj9Fuiv4ZQb2E64fzjv9qNCr+uPDj0vPCSstMFSYbLp/hKmn23qcM/9dxQKbN+CNw8MI1jBGz76kxAxbQVUDyBNe0cn0m3fNQ5J0dL17qyGwzuwp7+Tf/EQ3gmHdylaHH4/4IADmhUtrntmTFMZyQ/PaRq6Btm2IIWprfTLy6co5LiiNXLo4Mqq1ogwsuAZP476OfTrPzQ8/9LrYeX1tgiTzLxQmHO5HmHDA04L2510fdjqtDvC1uc9Era59PnQ44KnwxpnPRZW7/V4WKPXY2Hdcx4PG5z9cOhxxl1h6zPvCFuceHVYeY9jw2wrbRKmW3jF0GOnfcN9T70Yvu47OPQbyEUcP4Xhw1C0Wo4Xqn/BmjWSCFNtl3aqyenPP/8i9O59SZh9jlnC5FP/OWy907qh97UnhIuuOzxcdGOhXN19aKFoHR4uv/PAcOmtB4bLbjks9L7+qHDtbWeGiy7rGTbfau0wzbQThxVWWDYqWvQd4lAbV5702xWJvg8ByhZFS7c/M8HPxLfcji20y9ZBiIrlF0aHEI1gtNVWW0VhU4oWdmoAuQbuNHZJnV8Nlc6v+oNYlWBmEEWLS01YmWH7oC640IoWgyBnsVAiWLWgs6Nk8cxVuwjcrEqwlYMZBhQ2OgSEkiKFjfSQDrWNsUG2DHhXGaBosQrDSh6zqmx/ZWaENOOe9Gp1imfKgzKgLJhRZTWH/OIfQQHFATvKDGGC+AhH/SFNV2cg9VvyQrnwC5On/Dgnccwxx8TVQL7DduONNzbPSqusIZt31QXPKKZ8t4wbL13RGvdE3aRE2VPfQ1F8mJwZVNCQ4eH1/34SjjnpwjDzfCuHqeZeNay09dFh08OvDFufenfYstfDYaMzHw7rFcLSJhc/Hza+6Lmw7lmPhg0LxWuTcx4Lm5/Jlc03hS2OvzysuNORYYYl1wszLrRy2HHfI8M/X383DB35UxFH09Xug4YPLN4HV5StQtEqBMMisQUVDaJRilZsXE3EK0pW0xktFKyCipfmrYMjBoZv+34Z7nrglrBuj9XCNLNMEpZZc8GwX8/tw2k3HBpOv+HAcPJ1+4SzbzuwoANCz2v2CKdcu18495ajwhlXHxF6XnBY6L7mImGy6ScMs3SbITzwyL1hwMAfwuAhbB9EySoExqKfUeZKm+oCpGnv6ES67a/4SFsVLfgOZFe04L+33HJLHGNURiozG3fnp6b22ZIwJ3+/lNK4Wk8juWVwWDHGj+KM1ogwfMiw4pnxdlR4878fhx33PDBMPceiYfqFVg2r7HhY2PGkq8OWPa8Pm55ye9ih91Nh43MfCaufck9Y/4InwgbnPx56FApYj7PvC5ueflvY4uTrw3oHnxUW2mi3MPmCK4bZl1wtHHbSOeHVtz8MfQdzK2ih3Az7sYi/kHNGwiNUNi3bgm0fsm8UEWYzv6woWcgPffr8EG677fYw/4LzhCmmmTCssPoi4dzLjwmX3nhc6H3z4eGyOw4LV91zZKFwFXTnUeGKW44pFK3jCkXr7HD2RceH9TdaJUw59URhpZWWjxPYyGDqB8RH3MpXVyX6PgTgH5QD3/BF0dprr73ijipbx2MDDVe0ABkQwyOjMDWuAt92223jNdcoWs8//3y0E7O0jVlhOI1dUudXh0QBoI5QHGAGKEoMcnPNNVe8/Q1lAyVJCgXKFHXNL+ewEKTp6ChjDJYffPBBuO666+IqFqtCq6++erjsssuiPeHjF2bDL++kgfZh20Z7E3EpTkhlQJ5ow+SZ72hxYyLKAvmjvGCUlI+UJxQtFFC2TXLjJueLUE7ZPsutVyofrYKpD0BCLn0dmQDph6lLeYQYTBB2OOOGorX00kvHr7Wr7KygaMMjLLVFFC3OBf7pT3+Kq4qce7NuIdxCaTjjD5HvRlAu7Jakshaprqj7oUOHhCFDB4ehhTLAR3a/+LZ/uOam+8Jya24Vpph92bDQGruEdfY+M2x14s1h27PuD5uecV+hbD0QNr/g8bDpuY+F9U69N2xy1kNhy7MfDFucdlvY6qRrw0aHnh3mXWuHuG1w4RU2DOdddmP4/Nt+YWSRXj50Onj4kEKxKeIcVSggP3HzYFMfHq0U5fPRWhJ4hFCy+CBy042DhXCP4FgYDh3JitbgMHBYv/DCq8+GPfbdKczcbeowxyIzhM33Wif0vOLQcN5tx4ezbjosnHMrdHA45Zq9w0lX7Rd6XX94OOWyw8NBf98zLNh9rjDhFH8OS3RfLDz25CNhwCBWwDk727SaBXUVRQsCygO8g/wxdnAZhq53r0fRkrkULW4bQ9BaYYUV4hlZ+K7ixH3uuXPR6DbZTDR/S9E853fs04g4ScC5rGJ8YLwoFK0fRxbj7fBR4fMvvw+nnd07zLvEKmG6+ZcLC6+zfdj0kDPDFsdeFjYvlK3tzr43bHDyrWF9Vq8ueypsesHDoUevu8MmZ9wSNj/l+rDJMReFFXY+NMy07Lph4m6Lh2XX3Txcecs94f3Pvg19B7BTp+BRKFuFUjdyeNFefmxKk9qd2gCQudLdKCJMtdFU9nnhxZfCJpv3CFNOO0mYd5GZw1En7R0uveHEcO09p4RLbjkqXFzwjEtvKRStO/4errnz1HDFzaeGy68/Ixx+/L6h+wqLhmmmmzxsuNH6UV4hPPoQ/YA+ory0R546CpFP8QPkkAcffDB+1oH+z/f0+EyR7McW2kXRAjQiiEpGUGcFa4cddogfDeR7QmxDszP5XbniOyLlyhszSPUBA6CDiqgvbsxjZXKKKaaIq1K9e/eOQjD1TKdGeNbWQQZDCGUDos45lMw5J7aQ8fziiy9Gt/iRYiblgzRZ5jA2iLiIU22YtosSRbo4V3X22WfHC0Fox1xwwbeyyCNpRyBA2eIZRevzzz+PZxHZNohywLbZffbZJ04yYI/yRr4pZ+LKpaczkcqMuiNPlCNE22H7DufUqHtum2T7DvWO+1TR0q9ti3wsm8t0/vjHP7qiVUrkuxGUC7slUc6qX5U7z+L38QzR8MFhUKEU9Ok3IDzzwr/DXgeeEGZZYOUww8Jrh2U2OyhsesSlYfvTbw9bn3lX0/eyzrk/bNnr3rDZaXeG7XrdH7YvzLbueV3Y/NiLw/I7HBKmXni1MNnsS4Qtdz0wPPPSG6HfoEKAKISk4T8WQlOhXDVRwat+LpSdUKSp0LCK7BQZqj9ftaipbVXC+qkoh1FsM2bnxo+FkNikZEF8NJkPFrN98L2P3wnnXnxW6L7yEmHq2SYLS66xUDig5x7hwltPDRfdflI46/ojwmlXHxhOv+agcNZ1h4Wzrj0qHHnmvmHD7dcMM807XZh4yonCDrvuEF751ytRgUXJ0gQQ1JUULUjtCSJ/8FUuw2iNogVJ0WI1XZdhcCaYCTL4Lm7wo1+g545HpKssbWqTFUoVLFG0z/kf+0TdxLbLxMTIor8MK/py0X8GDx4afug7KDzwyDNh/c13DLMsuFyYfuFVwnJb7BO2PPLcsOsZN4QdTr8lbHTC1WGrXneGbS68P2x85m1h41NvCFsVdluffGVY54CeYaENtg9TLbhsmHWx5cOehxwdnvnnv8InX3wbbzWUojVyeDG+FMrdT0U/htTmbHvgt5FtgrAsiWciYyD3cJHQp4XccM75Z4fZ5p45zDr3tGGdTVcIp55/aKFYnR5633h8uOC6owo6Olx2c89w/V3nhKtuOTucef7xYYvtNwqzzjFDmGmW6cN+++0Tx1zC1VhMfORP6UjT1lWIvIofwCeZ6OaoCorWHnvsEV555ZXm8rD+2hPtpmgpszQiMovAudNOO8UVrU022SRu/bENoCtXfEcjlXda5jITw1H98CzGiFJ1wQUXxEsdGPT40j63ujDwoWihQKBswDT4hVCyaNy9evWKe+RpA8wwsLrFahbMAP9SPvDLAEmaiFfMYWwQ+SfPPPNLGSA4ki7SiJLErAhKE6tyKA+PPPJIeO+992L6STvn0bhljzbOTCx5nW666aKCQdlxXonwROSffNo0pHXTGQhQV1LKKT8oVbRY0ZKiRT6Vd2B/CUvtj8tUULT+8Ic/xFsHraKlslK5yf/4R+S7EZQLuyWpblQ/eodHsKI1ePCAMGDg96HPD1+H7/t8H9778NNw5XV3hhXW2jJMPvsyYfbum4VVdjo2bHbUJWHreP7i5rDdWXeEHQrhaeded4U9zr0n7HDyDWHjQ88NK+x4SJh5uQ3DJN2WCt3X2iJces0d4atv+ZREIZwVQtrIQqkZUShZIwola3ihZI0oVKyiRcULqYvsFOmtP1+1qAmj3/Wx4hHxxsFC4C/KYdgIFMCCX/44PAwcNiB8+f3n4bFnHg577LtLmGP+WcKsC84cVt54xbDf8XuEky4+Ipx0yaEFHRROu/KwcOrlh4YjztgrbPXXDcM8S88Rpp59qjDfYvMVitp54aNPPwkDCx7bt+/oySjI9p/O3AeUZvKjdgXvgK+2RtGCKAPMsIPfHnLIIc2XL3E+VJM8+MGt4lf58d5xiPSQ1ly61LYNWeXKUrRP/Y8b4izj8KJuho0cUShb8BFWmIaH/n0HhP79Bof3PvgsnH5O77D0yuuHyWZbKMzRfd2w3p5Hh116Xh52PuXqsE3Pq8I2p98QNjv9+rDJqVeHLU+7Oux41rVh86N7haW23D3MtPQqYfoFlwxrbb5tuPa2u8OHn34ZPvvi6/DFF9+EIYWixdbBn1gOZ+dgUTY//tjUXiDbHvhtZHtQ+xIRn8ZL5IwhhbzRb0C/8NwLz4bNt9k0TD/rlGGmblOG7fbsEU694PBwwbU9CwWLDxafFC68umfofe3p4fTzjwu777N9WGjx+cKkU0wcFlls4XBx74vjRC98AhlG8dHmla+uSur35Jdy5fZFq2i9/PLLzfa41297ot1XtGhEEII2HxzljBZbgJ588snYsMTsbEb17tQ+pE6nBpazU93xyzsNkw7Lag1KM3tdmSFkKxgKNNvhUKhQHNhKiALFrCGDJKs+Z5xxRtwfzwUYDHYnn3xy3HZImHQG/DFzyS8KG/GRHn5tGxkbREclTjFeyoGBmbyw5Y9bq7jFhu2TbAdkhY+VPQ5donTdeeed4cILL4xXia688srNShkHslHUEBJo+5QPpH4gkIZc3XQGIt0qM5Uhz1bR4owWWwcpU/zgRn4hlYH885sqWvbWQZVV6n/8I/LdCMqF3ZKoE5HKnWfqmj49eHC/0H/AN4Wi9Xn4oU/x+33f8M9X3wr7HnRCmGOR1cKU86wYFl1/97D+/qeFTY64IGxydO+wxQlXhu1Pvi7sdsbNYb9zCoXrxCvDctv+LUy52OphgtkXC3Mvu0448pQLwv8++rJQZn4MQ4c0tbF4XmnEkDBs1LAw7OeivRWKEF9UYl2a1lBkqUhzffmqRSbE+E5za7ppsFC2Rhbt9ScpWkX6Ro0IfQcVfK3fN+G9j/8XLrmqd9hoiw3D7PPPEaaabeqw2IoLha333Djsd8zOhdK1Y9jz6K3DtvtvGFbbbOkwx6LTh0lm+EuYa5FuYdd9dwuPPf1k+GFA//BDP/jQd0XfGdAlFS3SThsS3+cZvstOAs5n1qto6RlzzhZzeRE8mC3fnLXVtmXcEaeNX+8dh0hPnYpWUfWlFN2k/sc+FbkIo4q0DCvKf+jIor9SZ0WZ05b7/cCEZt/Qt9/A8Mq/3gq77n1wmG2h7mGqbouHBVbdNKy162Fhm6POCXucfm3Y7qTLw9anXRm2Pb1Quk69NGx29Jmh+zZ7hmkWXyFMOe8iYcnV1wnHnHJ6eP2dd8P3hQL35Vdfh68KZWvwwIJfDC0UqhFFegomwdkwrpanrUC2PcT0tkN7IEy1Xdo4MhB8c3jBO4YOHxY++/LTcO1N14RFllowTDrthGGOhWcK626xUtjr0B3C4T33DX87Zvew1yE7Frxh27BOj9XCXAvMESabarIw17xzh30LuYMdZMhqyBeErTj5FWx6uhJRh+IflCkyGcdVOKOpXUjYUx6qB37bE+1yGQYg8RCNiIxzCQIfa0XRQrvkuneraFnYQnNqPKmBiXJ2qj8RdSghCoWIfa+sTLKNjtUazi5dccUVcSsgH4RjuwYzieyH52wOK1koWQjJXIbBag+DJWETrrYdQmoXojSN7U3ER34VP+kjTazOwbgQ+i+9tGDsm20WL8ZAkWLvP2fOUKxQwhjQKRu2SLKStdtuu8XvtzDLRF7FWCF1euK2SNPV0Ul5sOWndsM5iaOPPjoqWksssUTcvoNSjXvc8YtbSOHJP7+uaNVD5LsRlAu7JamsLVFPtGW2tg0dWvTjwdzKiWDzQxg8aHD4/Itvwy13Phx23OvIMP/yPcJ0i64ZZl95y7Dkln8L6+x7Stj2+EvCDn+/PGx2aK+w1m7HFYrYrmHaJdYKE8yxWJhrubXCPkedEp544T9h4JBRhUBSKFjD+G5S8YuSNWJw3KqHojW8EOSwQdFCoPuxoJ/qzFctIr4mop2Z9l5EgrJFPGwdHFWYMVvfd1C/8H3/78IX33wWnnvp2XB+7/PD6uutHWaZp1uYapZpwqwLzBS6LT5zmHnBKcPUc/0lTFPQVHNOHCadaeIwz+Jzhd0P2CPccOfN4X9F+x9U8AquzR8ytFCwRjTtMOiKihZ5gmeoPbFDgN0Qv0TROvzww6Oiteyyy8bvcMF7sAeKG6j8lKaOQaSnhqKFIlWLotvU/9inIhdhOPVcdJbhPxa/o4p64sbOoq4GDRgYvikUoj4/9Atffd0nXHXtrWGrnfYOsyywTJh09kXC7N3XCctv8dewyQEnhQ0PPDmsfdCJYZ2De4aV9zwsLNBjuzDNkiuFyeZZJCxWKFmHnHBieOTpZ4q+x0VdA0PfPj+Evt/1CYP6DQrDBw0PPw4r4iyUrR9HFkQaivhpS7QL24ca2R4E4iAu2rrkAGg47f6nH8OQ4UPCW+++GU4648Sw3Grdw5QzTxr+MvWfwpyLzhoWWm7eMNdis4fZCt4x89wzhMmmnSRMPcPUYbmVVgwHHXJoePiRx2KfQVbRpDV5o09Z5NLXFcjWI2X66KOPxsUdFC3ksFTRwj3Unmi4oqVGSSbVmPjlpg8yyQoAW6nIfE7RsgXm1D6kBibK2VEv/KoRWnPqlNUIvrC/4447xgbMtgyu7eZ2l1122SXst99+YZtttonKB1ea44bb4jiUzAwDWxBZ1iYsCMVD+5RhPjZNY5PII1B+YU6kjTTCtOi4MDCUSFaumCFByUKhom2TTwZ0VvpYuWNygW0vjz32WFSy8E84tH1IYVOuItIB0rR1dCLtAm2Gd34pQ8qLWwe5SAVFi+07zLipTfFLOeDehqf2xxktZqVSRUv1lD6Pn0SbaQTlwh6T0vLmmTpkhWnYkP5haKFoQcOH9AtDh3DYe1D44KMvw7W33B+22fPQ0G3ptcIU8y0Xplxo5TD9UuuEuVfdMsy7+tZh1mU3DNMXStikcy0Tppx3mbDASuuE3Q85Ntz75Avhqz4Dw4BB9KHBRdhDCgGyGFRHFcoG2wfjtsEiDYUgx4pWIUOFEUV35mKxxila8AdLTeaFnBgpuijeoeGjRhZK4aDww4A+4evvvwwfffJBeOOdN8Ntd90Vjjjm2LDKmquFbgvMEWaca5ow7RyThWlmnyTMMt+0YdHlFwjrbrpWOPiYg8ITzz0ePvzsk/Bt0Vf69O0Xfug7IAws8j9sWNOW/K6kaEGkvZaipe9oicdYvsE7pGfM2cZ9xBFHRL7cvXv3cPXVV0dFS34glZfKT+Ydg0hPDUXLEu0wR9E+9T/2ib4xolBsRhTlPKryPKqgn6n7ok1/xU3GhXI0cODQ8N6Hn4Wrb7ojrLfZ9mG6uRcNk8w2f5hi7sXDTEusErqtvH6YbdX1w5xrbxxmWnGtMMmCS4TJ518kLLTaGmHvI44K9z/1ZPjsu2/Ct4VSzpg9lDF3UEEDBofhg4eHnwrmwOWkKFrET3ugLdFubBtoZHsQiEOyhWQBCBloyFAmjobH85hvv/tWuPiKC8Nq6xb5XWjOMO9i84R5Fps7zDzPTGH62acPM805Y+g2f7ew4SYbhl7nnB0ee/zJ8P4HH8VwkNH4JV+KS8ilrSsQdUUdiieQZ3QNbixGNkMeQ9FS35d73tsT7bKiReJtBiAUrT333DOez+FOe65cROiUW1tYTuOeNGCp/qgj3qlTBkKYAleUc9AQ5YnVm8knnzx+uR9hmne2FrKKxS91fsIJJ0SFAyVL57joCGICtAeId+KzyKWxvUiw+SV9pBfGhaLE4E/+adecN+JjxgcddFBcvePyi/PPPz+as4T//vvvx1VA7ZeGIkMtylD5Vxnb+NN0dWQi7ZSV3iUAakBB2OGK+27dujV/sJhZafypbYlkRji8ExZtBkUrvXVQfu2z/Dq1H9k6UlvlnXY8ohAShg0t+vagH8LIof3CyGGDwtBBA8LggYOKPjAkvPH2+4XwdGfY59DjwsobbhXmWGyFMMWci4Rp5l06TDd/9zDZnIuFiWddOEzVbbGwxibbhl6XXBFe+vdb4eMvvglffP1d+Pb7PoXC8UNl62lR55GKtlPQyIIQ4EYW6eEIBitajVKy6qZYIkXcP/0Yhg4bGvoP7B++/6FI93dfh6+//Tp8/Omn4Z+vvBJuveP20Ou8XuHwow4N+xywZzjwsP3CyWecGK698arwxNOPhlf//UqR3y/C9337FMLi96FvXO0fWpRh01XQ8BD4B2WepgGkZp2F4BcaA+Ah3N7KNwxRtPhYPrxDihL9Xb/4xY+eMcc//JfVdBQtti2z80KTPIoTyF/nJuq9jHLuxw1xllHlj+IVvz9X1BXKELtaYlsfPiL0LxSjdz74ONx4+90FvzgiLLP62mHabvOEiWaYJUwy65zhL7N3C5PNVyhf888fpl1owbDshhuEQ085Kdz1xGPhjQ/fj4pWnwH9woDBBQ/ips6iv3CV/Iihw8OPw4sxd2TRXtjyO7JJzlFbIm22fTSKBLVT2jnjm2QMiH4dFcNCTvjqmy/D+x++F+574N5wxdWXh9PPOq3gF4eFgw8rZI1jjwynnH5y6H1p7/DAQw+G/77z3yiXcEU88gZbbilLwtFYbFEtj0LOriMT+SGvlpjYZ/cVihYX8rHrSnnHnjrnuT3RbooWv8oEvwikXCLAbW0I3ZzpoVFZ904dh6gTOmZK1CX1hrLBeSW2hNFw2RbHGRwux2Bli9UrzmShXHM+C4WMD/fq/BaMQEqVZnJQRLRqhLllerk0NpqIBxKUX5ggaYT5Ka0oigz2lAWDNis2HLKknfOMYgCjs34gnskfhF8pJOrspENI09eRibSTB72TN/KFOXXJZSE9e/aMK31cpML2H9oAbgWVvwg76oAyQqllyzGKVrqihRsg9/Lr1H5ky1llz3vk94WiNXLE0EKQGVwoWShc/UP/vt+FPt83XRbTf8Cg8OkXX4fXXn873HT7veGAw48Jy6+xfphtgSXDLPMvGRZdce2w+a77hSNP6hVuvuv+8M77H8RZ6c8KfoOS8j0z1IMGxosh2KZXpCJSk8JlqckcQc6mfWwQQJikv8Mnvv3u29je4RX0/QFFOfAML6RvvPHG6+Htt98Kn35W5O/778J3RVmhTA4s8gkPQakkLPoUv5r0oW9QF7n4U7OOTmpP8AtI7UmKFt/RQtHiEiXKAzuRygA/esaccNh2zHb1ehUtIHOndiJmP5pmQGJ5U/bUFW27/8ABoW//foWSVbT9IYND/6Kdf12Mt68UfeTqm24M+x1ycFh9/XXDgksvFebtvlRYbPWVwsa77hB6XnB2uPOJR8I/3vh3eL1QTj78+ovwdb8+4fv+fUO/IsyBRViDi/CHDC7G4IJGDC3GqEKZG1UZf9WOINqGbR+NIoFntW/JGJIFKAf176+++jLyg48++jB88OEH4c233owf3OWXyUt4BxMJ3IiMvAGP0ed2ULKQpwiXeIhPcSv+sjwKObuOTNSdrUeIFS0+q8MiD5+YYvJbdpQ3v+2NsaJoQVx8IEWLMyxlila1ynca+6T6EFGXdFyEBa3sICygdKFgIADfc889sX45h8fFGTADFBPcIzQgeIgJSOmAqfDOL+0CZkMHULy5tDWa0rjIq5ggabQrUuSD9Ko8YHBsDYTJSSjCHb+4wy+kPJM/9Q91ehu3+lJnIpUfpDySL34ZDE499dS40omyxceuKSvyj1/Asw0Dc/xTvlbRQlFLtw4C+86zU/tRrpx5p75GcZPY8KL+hwwMw4cMKBSuoj8X74OKPoMA8O1334cvv/k2fPH19+HDT78Kr/zn7XD/Y8+G626/L1xz273hjoeeDs+8+nZ44/3PwmeFm/4DB4V+A/qHL7/+qlC2Pg/fFoJHn0IJQRjj4DhKVZGSRMlqIswhm872JJUJoD3DzxDq4X/8wht4RiiiLHgXT4SkPME3IOzkTmaWj0hQsPGn9dJZSOkWX+SZvFFWbB2caKKJ4tZBq2jF9lb5VRjySzjwHilarKZz4ymTPK5ojVsqumRUtFC41Gapt2FFf2YS5Yd+fSOhIA3izGfBU/oXitLHX3wWXnz15XDXg/eH6++8Ldzz5COFcvVweOSl58Kbn7wfPvzuy/Dfzz4Kb374bvigcPstStbgQu4o/HKjH31m2BAuw2hSsn4cWbSdyrZB6l9k20Z7EnERN+2Ufs8vRDp5p+/T3/mFN9D/afupLALv4BfCHv6AW8lSxKFyVtzpuyUhZ9dRibyQT+VV5sihnKdH0dp6663jhWSqb/HP9ka7K1pquGjh3FSHorXGGmvEG9poSLjDXv5EvDuNe7J1ItIARkeWUEDnhhFACBII0ZrBpdNjDhPgHaYAoxATgAiHd37VbnLpaU9S/uy7mCBpkxBE2kijOjTP2En44VfCEOaW4Vl/Kdm0dFYiH5QP5UB+VX4IOwhLCy20UFzCZ4aaWyopF9zg15aN6p9fytwVrY5FZeVMfVGHUdkaUQg1gweGUSOYUEMBazrn2LcfW+n6hR/6IwAhQI0M3w0YFr7sMyh81W9w6DN4eOg/4sfQd2hBgwpBouhDQ4t2MqQQuOL15oWCBQ0qhCe7ogXllCwoTWd7kdoyoHxo3+IHll9iBtFPcCOhSTxCfQf+IR6KX7njWW5sPahecnXTWYg2ZPs/4wi8Y9JJJ62paPFL+fGscoT3HHfccXFLOxcTuaI17qnoklHRsu0V4qr3wUObVrWYXKGPo2RBKEvf9f0hfPX9t+HrH74P3/T7IXzRt5A1BvYLfYYW8sWoEaFfwXO+HdQ/fDugb+hb8J5BheI2dGQhWxT+R8CTGGNGFPJFoWD99GNR/6ShqHfqXqS05NLdaCIe4qSd0qch+AGEOf2eZ9q7+r14h3gF5qmMIT6BWS1eYdMjEnJ2HZVUlpDMADecb7HFFs2KFh9ypoxwrzJpb7SroiUGyPvrr78e9t577yhkrbbaanHFgwaAOxUM7uTXadyT6iNXJ9QZnVdMgU4tBoBwACFcsHLFM3WNG94ZOFG28Ec4NHpITMIyBLWpcUWkg/SQNsuwlHfM1M6VFwlS5Bs3yo+Qi8dSWZl3dAKUAfmlrlVeEFsb+IaYPtzM9f5ccKEBAv+4o/xUlpQBv4TDVky2pfLBYqtoQSpbPXfGsutsVFbGqrOmevixqFvaQdM2UtoFglT8QGkh7AwdUbSTkT+HISN/KgSiQqgY8VModKswtGhKg0b9XAhKhXA1tFBM8B8VqqYb/VC4OCwez3kQp1GooDGULP6SdLYXKe965znm2/A13PDMr0j8kb4gvoJbfiVU4c72DxuGjU9xyKwzkdKvZ/LBihYTM5wB5pZXLtJh0k55Vzngh1/KiGd+KTf4DOdDufGUyzB0mYbigYDCADJ3ah8quiSF3KK+Qbwoo1CIWH2inw9HOSr4SNPFMoNDn/6F/FAoW2wH7FMoYt8P7B/6Dh0UBo4YFgbjpvgdMKwYf4vf4ZXbP0cUv/AN2kPsP/TDoq7Tdqa0yLw9SGELPKvN0lbp7+IBmCFDwBc0MY09JH5AeLR/jZ0i/FjCD+b4EarlVcjZdXRSnlQ+yAp8ggfdQ4qWeLF+2xvtrmjpmSu/99lnn7iitcoqq5QqWvw6jXuiLiDqRvWTAnsGPJiAOjfPUjAQELScLcaBYM0yuLYSwiBoJ2IQPKuDpGkaGwTSZ9JCukSkk3STX+VLZYW5JdxjZylXnoqzs5PqT4MCv5QDK5ycjWBGmc8BsJWHPeZqK5SLrX+1AYVlFS3OaNnLMCCVIc82PU7jhqiHFv2loKHDCgGhULJGjuKSiEKYGl4IEsNHhUHDCr4woug7RTVyU+DQUSheP4eBhXm8mawQtKKgVBAKFtsFeUahGlEIV0WNlxK9LFImje1NFrzTlikLCUpq65jRxuGNEox4xg43uLdlibnCE9l2z7PcdDZSXoDaEIoW53x12dINN9wQxxnlXWWjfFNGhMUv5IpWxyOVMXWg+hYwp97o2+r3PLMqNbhQvvoPHhQVru/79Y3bCgdwo+nQ0StfKGRcfjGk6FP4beYflfZAW1E7E9m0jQ0SeFYbjnku+AL9XbKFxkfxAKUXPzkiDNyK5BfCDjdCtbwLObuOTEoz+RKPRdFCweKDxdyEra2DuKM8cNveaLiiBZRpMqHMo2jtu+++UdHim0qc46HyrTsRsO9O44bUEcs6I41VQgGNGneY8a59wmIWmPGMewZJKWR0fvzRBvCrhp+Lb2wQUPwCz0qXfgWeLfNWPizJj/xDNs6uRMqrBgy1DZTrW265JU6yICxxUyXnNmkD2KtcbBnpmXZjFS0uWnn22Webyx83ip93mx6ncUM//ti0DWhUoQzRk3786ecweGgx8BfKFatZgwYPDYOGDC8Ep0LJKsxGFMoVNwWOKPwNKZSvYSOLNlB45EILvivD6lUUthAeULToVyhaRd8rYoxxEFNc4aqQzCPxPhZISM1pl/AC2jokoUdmVhiCeBbvEImfqI2r7UO23ctc752FgPKiZ8qCc8CnnXZaVLS4xZZv8DF+4A6y5YIfnglPZemKVscmwZrFui/6O0qS+n4klK6CULpY6ab/85HfuPJFO6i4hUdwyyD2PxV8IoZT2Kt9pWTjHttEmtRu4QWMd5DlE0qn3GEuXqK2L3vsMLOkOOSOeO1zSkLOrjMQeVXZSNFKV7Tkjt/2RrspWsBm4s0334zfVkLR4rtDd911V2xM2NvKFvTuNG5IdaDOaOuIZ+pWHZh3Orfc0cARFLCjjtXxMRcTsQwkF4+gOMcmKR0CZmrL5IO0W7e8K/9ya/OWQn5zZJGz78hEfm050QakTKN433vvvfGcFecs+P4YM0so47i1bUnvCo/2IkWL72hxqyXMEqisbTqAfXdqX1I7F8XyL4jvSul69VHFv+EjinottKcmu6KfRGpyhxveWe2SMsZHTOP2wEo7UDx6hyxsGkRCzq49yEJmpNfmwYJ32/ZtWJjxC/QLZK8w5d+6TcPqDATU7wF5YsxA0WKrcZmipTKwz4THLwTvcEWrY5LAs+pPdUjdq474hRfEFSpWpwp7iDNWfH8LP7gfwQUXxTNMBnPFoTBsnAAzmY8NEvRO3MozxFhJPtSerVvMsJdbtW+lX2Fhxi/vshPJzJK1Fwk5u85A5J9y5PeZZ56JK1mc0eKsFu+Uo9zx295oV0VLlQi4Bnz//fePmeXr7HzsNVW0LHh3GrekerCdkoYJ0ZmxozGr0Vq32GuWlmfc8Myv3PAuZqpwZaewZKbwxwYpXkHv2AF+eRdDs8BM5ta9ws2R7OVesOadgcgL+eZX9a8VK375hhq3/6BoMbPEbUAoWrjXACK/kMIjHIQlPobNihY3h6GkAezlDyIdIE2bU/uRyr2ZKH/qpvjHdkA+BUkvkTk0chSrUfQhBKgm+rHwgMKFC8KJZykq9Uob0sAJZKZ3wabDwpq3Nwk8k061USF1L5JbtX3xTsA7boDCs2HzLCgsG3ZnIKD88E7eqWOud+fbhFyGwbbjm266qZlvqAxUZnqXf/gKvINvOKJo2cswcnHr2do5tQ8JPNt6pM74hTCDMNMYIZ/xIgtuDYRGFDJIZcaG35/4AHLx23yrYeQvY/aTnFl7ksBzTFcl3yKZCdYdxDvuVB62jGyZ2eeyeG2YKQk5u45K5EVlwbPaC4oV8saMM84Y5Q9WuLCTe/y2N9rljFaacN7ffvvtuF1opplmirNKt99+e9xWpAJK/endqeOS6kkNlo5NA0ZA0MoVAyXvqZmYgK37zkakPaXOnqdfQso/dat6p771yxfZd9ttt3gZBitbDz/8cOQB+LGMT6TBAjuEJS7R4dbB5ZdfPn4LQ2VO3GqLTh2DUJiQe1ATrKKFuex+QijK+C0kpGbig8SY2boWpe+dhYCec/mSfWfNX1tJUN/XL+c7+SD8hBNOGKaffvooO9gVLUg8g3CsGXyIrYMoanxWgtXwSy65JJ77AnJvf506BqkeU2KlqlmhKpSsnw2FQsGCfi4IZQuKNwzyW7SH6N/EoTbQmYg8qL3Xolx+BWveVYj8incgN0Cc52ZFC97Ro0ePeAuh5A25bW+0m6IFCWQIRevggw+OK1plipZ+gcJw6rgk8KyOTQOWYgXxbpUtqKsoWhDpTynnbnwg8k6dUrdpnaNovfbaa/FCHHjA6quvHrcSIjDhXu1Bv2pLskNYkqLF1uMXXnihRXmrHTp1DCqqpbaiNYa/wtAoWVbR6koE9JzjGdZ+fCIh5QMoWn//+9/jB4uZpKmmaAFrBh9ikoath/POO29YYoklQu/evV3R6gSkemymgmnEVSpLhQIl5SpSYQbJHj/NClfRHmwdCzbOzkBjlEuGlFfI+rWw5l2FyK94h+QHVrT4UDG8A0XriSee6DqKlioZIiN8zPaQQw6JB9JQtO64446soqVnp45PAs+qZxouREO2grLeZdaV6lp56Up5aguRd7UB6jlVtvjEw0EHHdR8TpPLMbjmH7e27fAMqa1Armh1LmK1CplHihU1BMXnin3qJ6doFQ5HB/ILaMy4xh3ZtprjGdZ+fCJBvED8hA/is/XPKlpsHcSPyk9+MONZZvAQPi1xyimnREWLi3Rc0eoc1KL/VhQnKVLNK1cV82hn3Df7q7QDtQlbx4KNs7OQ8lIPWX8W1ryrkPiA+j7PnOfebrvtIu/YaKON4hEGZBPKRm7bG+2iaJEBZVTEitZhhx0WZp999rhPWita8gPKGodTxySQmtk6tER7EMks9dtZqFa+U7vxhZR/mBd9PlW04AFHHXVU5AFs4bnmmmviNf+4o13wq2dIjBJyRatzEYpUrJ9CvSpeM4pWrp8UwpIrWi3sxycS7DjBrxStCSaYIApLTNKWKVo8S3iSGYoWtxaiaC222GLhoosuckWrE1ALpiGyShbbBYv3WG8oW/gxbnnHzlKL8CuwZp2F0nxVI+vPwpp3FSK/4h3IDzxzzGCHHXaIvGODDTYIjzzySJRHcCOe0d5oN0WLDEhwgljROuKII8Kcc84ZFa3bbrstq2ipkGzhOXVeoi5zhB1I3XcGKku3zdv4SMo/fViKFiRFi+9msQWoW7du8aPDl112WRR4sINfcPU/z/hXGJhDrmh1LhpdN03nZqihSMU/2Vv3ownz0WQFp19C+bjGDdm2attwzn58IkH9HzN+pWj9+c9/LlW04BHwCz1b+uyzz8Lpp58eFS0+mH7hhRe6otUBaMytwxVSv6VJQKYfNytaI5sULT48zNXtsc0U/ELtwdZl+i4SUvPOQDaftSjnv6sS+aUt8CtF68UXXww77bRT5B3rr79+PBuOrIEd/AG37Y2xpmi988474eijjw5zzTVXWGqppcKtt97avHUQAraQZO7UOagMObednSxy9uMzqQ/T/1Nl64MPPogzy/PNN18kBB5uFOP8Fu7hBzzjH3JFqxMT9VIIQE0rUwxkLeuoXh7fQsj6BZQLe1xRWg5pWVj78YkEWyb8omhxPXuZomX5De/iGSJXtDoeFSU9+qPiiV2u/0ZCybKKVvEbxwm+kYWyVfAZS3w/C2WuFtL4nTovSXbgWfyAS7h23nnneOsgl3A9+OCDUdYQ38BNe6PdzmjFDlBkVPTuu++GY489NipaHEjlfAZXPss9IMMimTt1DbLI2XcmyiHnbnwk+q4YGP3eTrZwKP3cc8+Nq1nwgV69eoUvvviimemhZLmi1UWIevlpVMHUC/rZXIdRCD8QSljTqlWT+5xcVRiPadhGapG2cUxAz7nxztqPTyTYMuEXReu4446LfR9Fi0/DSHbA3vKb9J1fFK0zzjgjTu6wddAVrXFPRUnXp2hJuWpWsgwV76OKOhtR8JGRBfFx9FFFeJZi+LGm80jjdurcRN9XP6bv8/vyyy+HXXfdNSpafIuzSyhalmlZZvfee+/FWSmuWOVAKt/CKFO0ZObUdchCZp21vnPIuRvfSOVg+75VtBB4Lr744tj/55hjjri6hfLFDWIwPbnjGXJFqxMT9RIVrZFFxUjRKga0ytkr7OpRtLDLWraSmtPVAci21RwPtPbjEwm2TPi1ihbCkhQtuZXABO+QX/EfiDNarmh1LCpKuraiVShS8ZKLLDW5+bFwP7IIA6UKDpNS4bKwaaIUabxOnZ/gBerH8ADw6quvxs/KdDlFC7JCEhlKFa2bb765+YpWCsX6tQXX2aizp7+9yIL3zlzXOeTcdRZSXTSiTvAvJQmS8gSxenX55ZfHrcPcPNizZ8/w/vvvR6HJCkviHdZMihYfLF5xxRXjvmviwp5f1UFr0v9L8+pUhShbrWYVClWTyFMQz1HRsitahU2GMG8KazRlHdagFunqAKS2KkrbYWpfRvizlHPTUaieNALc0O9lxjOKFrthpGixdTC3ogWfUByWl+CfrYNW0frmm2+a3aa/As+NIqWTX8UzPlNRAk2UmBf/RvfbSAW/gKySVbGHCKNoLVUVLFEKG+/4Rl21Ddr+JdkARWv33XdvVrQeeOCBZkVLvKa90S6KFoknIzA5zmbwi6LFQfj5558/3jjGGa0BAwa0EJTEiEBaaCLBmpWR/CsMwdqlbvVuScjZWcK/8pCa/xKyYdWiMn9l5pYsatmDauY2LotadpZag9RvjhSvJXW2tO2VuYdy9mWQW8jCmpfZ2Wcbl6jMn6XUPZQCu7QcyvzoHbLuLBGGVbKkOHEe66qrrgrLLrts/HA5B9zZUiwBCX88i2coPbx/+OGHYc0112yhaCkefgFhiJ/Y9Cm9guzwZ93IzpLsc1TLvhql8YxtKktPNVj/1dxjPjrcom8kzmRf5t8Cd2oHo8MsT0Nq1xpS+IrTxmdh3Vq7NAzZ16Iccu4sEbbKJS0fxSukfuuhapCbND5L1g4qS6cl/NH/6cMAt/RvvqOFosUZLfgGF2mhaOFHYeIHPgEwF//BHKXKXu9+wQUXRDP8Kb3yVwabJ0Hx86swQOpW7kiL3MuP7GQm81x4Ms+RUMusHrJpqUU5f6kZ+cvl276LssAYO6NgRSWs4j5aF1SE1Ey58GRWFrcohcytvzK/llL39VAunF9KtcK3sOb1pseGnyPr1sL6tXbWfVk41Yi2xq/6G1sHUbTgHVbRsn7aG+22dVCMrl+/fnHliplrmB0zSghanNHq379/c6EAFQzvtoAtqWBydikRFpSzgxSvwrSUuiuzV3pTO8yVH7lpBNK4RIpT6cq5sWTDkp96/Ja5E1J31g6kdql7lVfqJnUPWaR2bSWFVS09FtZvSvJjSXa1/ELWTS4syLqv5q4apWH8ElKYKjeIfiCBiSvd2frH1sGTTjopKloISHKLO0j+OLPFDUGsaK299trxWzrLLbdcvLI1LR/cQzZPSovSJfMyknuFk8Zhn+sJr5FULT4hZ2epGqq5lZnybdMi5NxYd3Jrn2tBbnNhiSxy9m0hG1cK2afpyaVP7soodd8eRDxq0xDPtk9YKvOfusmZlbm3hH0OMqfvk0be+eWdCRomaSeeeOI4K80krRQt5Qd3ukkMuUNm8A9W0k899dTmFa3zzjuvxYqWSO/8qnysvSWgZ9zVolpuZZ8jC5nJH+mE5E529j01+yWwYSk8PSs9erfmOUrdpSSk5m0JA+TsIRteGmZql5J1W6+fWpQLc2yQLaN60iPk7KqRwHOj80xY8AR+1YdfeeWVsOeee4aZZ545XoYhRcu6gdoTDVe0SLgYHIwPRYuVK24dZAZ7oYUWCssvv3zzipbNqJhmrgB/KSl8MW/IVoglpUdUZmfN0/gwU/gys35zZP2X2admNg0qv9SNdac0Wdh4c2TDwH8aT5n7HJWFITtLZXa82/jqyQOUC1eUusXMxmn9Wjf6lXuVrzVL/UNCLi7ebRypvSXZ13IH2XJvC6Vx5YjwEXQg9TOe4Qeff/55uPrqq+OKFJ95OPnkk6OiBZ/AHXHgDsVLYcEQIVbEV1999TirzUSNFC25s/nSu8j2d5sP+67yBnq27/Kj8BWm9VtG8leNcv4sKX6RtRNy7lKy7gXrj7Sk7u270mvtLVm3ZYQ7xVuLLHL2UC4OpTPNT2tJcVgozjRs3uVeZO3lJm2PotRtaygNh7jTtKrdpvFasmGK6nGTo5w/WzaCNSN98AvSyC+8AEWLSZnJJpssXoaB7MCtg4QpPoM7lC/emdjFP2bIGPqOFpfwsG2ZFS22E+JW6VJ6SQPP1cpIZNOd5teGKVL5W8LchmNJYeTMFWbOTWqmuGXeKLJxKQ6Vm+K2JHdKd87eUi37eigNw5KAO6VLpLwoPyml8bQX5dJrzcoIv0prWV5ycchvjqwbC2ueo7IwUrsyN/USfsmj+jWEOVsHUbQ4riBFCx5h+yH+2hMNV7TIGAyvb9++oU+fPvGDpDA7PlbKGa0FFlggdO/ePa5oiVlKuIIoJDUIW/gquFyDKSO5Td3bMIkPUmHn/OgZP2nFQtiLaVo/1h/PiitHNn5VvrWTveKuhpy90kt6avkHikd+lCebNpmrHCD5kT/8yJ3ebX6t3xwRnvyJeLf2Ns5qlIaRknUrs2ruIevWlksajkjmKmPM5I/2z7Pc2bzZMGSfM4dsPiHCtJTa27hypLTquRqIn3zQp1XP/PLOZRhsHdSKFme0+LYWipT6PkqX3vEDL4HeeOON6I+tgyuttFKLM1rKk97xL56iNNh8k8ZcXjCz5cpvGazbWqR6gZQGS4qrFikMvad1ovdqZP1ZM8K15ZSmSXErzTLPhWXNrV9Rzl8Z5SA7xZWGrzRakttqlIYjws6mxbq1fuuNR1Qtj42Cyom0Ubf0B4h3pdmS8mWpzE2aH8j6E6Xhyq3yb/2LV9B3IfgBShGK1qSTThpnpW+//fa4G0Y8wrrlF7mCcOAbP/zwQ/jkk0/iGa1FFlkkTtL07t27eeugoHQoTXq36SYfKkPi4d2mPUcCz/Ivf4qDd8iWjSUbv8Kw/VT+FJ7Ihi8/1ciGV4sUh94VB2XDr9yoLIHSY+0UjkjhyU2OrJtabqE0HpsmgJkNKy0v3quVjcLN2VmSu1qU+knTm+YnR0qzzUdZfuQnF27OjU0LkFkZ2TBy9jaeMndAaahG5Is2SDg849cqWmwdvO+++yL/gHeIf1Auiqc90HBFC5B4FC22+zBjzUw2y3dHHnlkPKPF8v3111/ffNsY7skozxQSRKHZjPNcVgllhHuR/PHLuypEhazGx7OYBe/Wr2DDSf3qPXVfD1mUmRNvjpRP4iZP5CFNf1mYFtiVhauyIXwNNDaOlOTXvisMkdyIbJgQ/mSWs1N+FEc1SsOxYdkw9ZxzD6mO5V5kw0jNyuwIi7KUgiFhgfAtlE+RzGzYNo0iW18Q70q/iHdLmNl0Kq2YKy5rZ9OFfwQcJlcQeMgTxDMCD4oWK9qzzz573A7Eh8ytO9LHr1bCsYM/vPXWW2HVVVcNE044YVS0nnvuueZ0kh6lHbcwUcpR7Utps2lO023NlUeVDb+Ky/qB5K4a4U5I/dt4a5HSZc1sWG2F/Nu8KC5LKmMoFz9kzRU2fglTfm0ccl9GCkdI4xHZdIoUj+KqRbmweFecIsxz4VaLT2FDgvJh/ap8Uv8pKV0KM2evZ8IUH5BgkeMDIhuO/KduUzcpWbcpYa902/RjRzxKIwQvYUWKSZmJJpoo8o277747TuJiB69QfuRP+YV3wENQ1Lh1kN00Sy+9dFS0vvvuuxZx4we/SoPSqTTbd8WFO+UlheomDUvv2Nn2lAtDwE71BxG3JaWbcBSWSHHijjCqkdJWjdLwIZs3SOFZ98pr6lektCusXFzWjXUnt5aq+ZM56VH5WrfKA+WqfOQoDTctv9S+LZSmFVQrR5ENoyxN1qxWGNZcdSmydjlK48n5t3FVc1eL8Eud8UucmKF77LHHHnGSZp111gn33ntvlC/gHWXyVqPRcEWLDk0G2CrIVc5HHHFEnI1i2+BGG20UZptttriiBbND8ELZwj2NVIWjRq6CgnhWR5a7WkQ46iiqPFWGDUN2ttLte86/OqMYGO9ifLzLvXVbi5Q/S0qj0pCDbYS4SdMr85RSP8QnRm7jVVpIo+wlyCqNuTD1bjuKDS8lWxYKW6S0pPEofPteRjl3Ci+lXDqVBqVDYUJCGkcabmpOWJQpfQDBQIoF8Vk3UFk6LFk7iHIkfFFatrix9nKTxkXYNl8pqRzwI0WLvq08QUy8XHbZZfGMlbYOsqKFOxFx84sgZcN4/fXX42UYCFvLLLNMeOSRR2KZKV2kmzZJ2eGPNGBG2pVGlZHelUebT0vWvfKncLBXWVYjwlZ88iuy8Vg3Y5tsWmxZpGm15SXzXFgyV5nJfxpGGkeObLmXkdyUuc2Fm5LCSf1iJvCMW+Ujl/40fzlK/aRxKt5qZCE/hG3jLyObBpsukU3bL3GTxgnh1ubTksKiD4sX0f/hG/AK+j58gxlpVqrgC1ZYUp8jHswh3rnKnW/28f1Oti0je2jroNIFEQbxk17ChIcoDtxiR9mTVvlRmjGz9aP8iJfLnl/eNYYSp/XLs9KiNOBW8YkIgzThDuJdpPQoLNwpHWk4KSk/1Yh0Wti0Y088pIl4FWcaRo7qSUvqRnnWu3Wr9OT8ya3cqLx4JjzKC0rL1saVkvJr3Sj+tpLSBamcVdbViLiVFtIlkpnM+bXplP9c/GUkt2WkslA8+Enzkvqx4beWyBdx6ZfLMFC0WNFC0brnnnsi/6BvSU4gzvZEQxUtCo3GyYzy448/Hrbffvt4AFV7o/lI6RRTTBEzvOmmm0bli/3SXPl83XXXxSvf2VLIjBWCFGE89dRTkZ588sn4/sQTTzS/81xGuCWMRx99NL4/++yzcbvRa6+9Ft58882oCHJBBwdl2UaAYEfhsxKnCzxgdJCYuW2YqkjLUPjVs200uMWstYQ/Gw6Uc5dS6i+NnzSLSK/slR/LlK257FQuNr+5tIrUAXjGnfzJr54Vh0jmNmzboVpLaeeGlCaR3klXjmxaculJGUcado4Il/KUQsKz8q+yEOO3hL2NOw1X+VA5lpHyJfd61zOUhq3wRTLDLemXkEI/QvGBWL0688wz462j8AJmmemDuJFCRb7gH/RFBKR//etf4bHHHov8gdlorWg99NBD0Z6+inueEZ4gBDPC5RtdrKZzxoM+ziw24eKePk1cKl+RLRNIeVPd2vrFzpZjGSksiHcbn+pRcVSjXNu1RPg27BylackRdrZOIdWz9S+zMjfWLnUjSu1TsvmvZW8pdZfGm1Lq3pLKnWfckjeVE2Y2ToWnMpBbiPLnV25Eisemv15K0yTiXXxabUxxKz75Tc0gG349pHAgm3dLaTxp+LIX/6CP0r8/+OCDeJEWihYTtShajNPKm9yqjZNP+rj4KZM5HFtgJw3bj7nenVUy/BKn8iq/KjeecaPxX+kiTRyJgOfAV+AvXPQj/sMzhDk8B/f4IyyFId7Is20XtiwoM+VJlHODX5HKGnvyhBvlQ3VQjRR2NSJc9QnLjyDsCSeXJktpvCmlcab21cKUH5ueev3wTDlT59SN2kE1v6I0zzJX2G0lW771EmkgH9R7SmpLaVpz8aZ1nLqBlM96CPcKq6wNiWwcOfsc4Za8kSf9/vOf/4xbB+EdbB286667Yv+FRyCXiHeQjvZCwxUtEg0DYV8kWwXRIBGQunXrFqaeeup4oHXKKaeMh1rnnnvu5lsIYYCrrLJKWGONNeKBtY033jhsvvnmYauttgpbb711/N1iiy3ClltuGd/55b2MsIfkf5tttgk77LBDvOZx3333DQceeGA4/PDDIwNmxQ2h7+yzzw7nn39+XImzyh/f7UD5u//++8dQACEO5qM1k2cEw3//+9/hP//5T5yF52wJ2544o8ZvvYR7BFMUQgYKiG2YCJAQgw9XXiNUIlCyOsjgAXEWBgETZi8BE0VSSiREA4PZq5Gpw4kwE6mDarDBD6ROi3vbkUS8WzuFq3Dwb+NVxxfJnA7Umk5ZRtYv70qTjc+mNbWTfZlf6yYNJ7UjDKWFd8qC+hBzp5wUdloPIuyUN5HCT0nxKxxbj8QpZYd2AQOijdBeIJQT2pAlhAxLtDOIZwkeTGLQHmmfEJMdrHCzfRhF66yzzortWG1R+eadOOkH55xzTvzY4HbbbRdvHJtkkkkiL2Hb4ZVXXhkuvfTSuEpGv0WJY+b7qKOOin376KOPjpM5mHFGg7Do2/i79tpr4/Zl9W8OyNKvn3/++bjVgD5M37PKGmkSY1b7tfVUi9J6VB3wnKszS7a92PYLUa+KQ2GXUZoWS5jbNqp47bviSv3YNKRhKhyluzVk41Y4ltR/REpLmibrJkfWLWTTD1l7zClLfjG36VF4cos76pk+BtHObR/TOWb1Gwnr9J1qZAV6CfUQ4aiPavJQ/J741XbVfkm/LQfI5idHqXvCECnfIpWj2p/eoZwb3uFDGqfIB/1QK1rwALb+kB/iw594lw2ffEPwn4cffjjsuuuucdvhoosuGsOCt0jYguBzlCPuuXgHe3gAk7NM6vKRU/gEt6bCQ1ghg9/AVwjvxBNPjLIEH1aG5/COXIE9cgXKHbwK3kMYN910UwwPmYKJ4GeeeSYKhMgNjPvwRcZ0xnLSRVrJD/kUz4BUl7ZOKUPVq8oIO35V5mWkerRUVt88l7UJCDeqD6UX4l1hKBxL1doaZP2m6ZYb/Fo+ad0qTdavDZs0ShFWWVu3ovRd+UzDhhR+PVQr//WQ0gLl2ojSqbTm0kj8qcxly7O1pDAVlsJO4xDZMtBzLSIvyiN1R/7oV3/961/juXD0Ec54wivhjxD9n/omDe2FhitaMHMyCYOEeSDMIAQdfPDB8YwFjHLaaaeNgtaCCy4YV7wQnFjlYg/lrLPOGp9xhzI23XTTNdP0008fSe+EU0ZyL3fTTDNNJJ4xJ2ziIW4IpU+rb8y4o/yxzYCPpHKtNJrwBhtsEHr06BE222yzFkrcjjvuGIVBlif32muvsM8++0Rlbv/99w9/+9vfolKXI+wsHXDAAZHk56CDDorlBh1yyCHh0EMPjYIqCixC5DHHHNPM2BE8Ye4Qz+xpZxYQBZJBgTqA2V900UXhkksuiYqkmP4NN9wQVxKlUDKQsbyK8MmKIAPN008/HQXll156KQ5ADAYMSCh6CKII2QwGDI4Smmn0NHQ6GZ2ADsM7HUADvuxzhPuyDpl2sFwnljvsFJbebTxKJ79yq3DlPuemjGycCt8yN95lRn9BaGCgp8/AAChPBlkGWxRslHUUeBR5CEUAQrmHibzwwguxblD6GbRZAUK4oP6Y/aU+IWZyqGNu7WKgp28ymcBNgFdccUVUWGgbtBFWmrkG+dxzz40KCm3IEkqSCIFDxDttDgED4rYvrlbGDAWISRS+ZwHTo3/QnmgzCIgSBCV8kmfaPH2R/skkDcIWyhZmTMzQV9kSxISNFDjxEGaw2Gqkvs0ZDb6jw9ZDzomxMgZPon/Tr+nPO+20U5z9ov8edthhsS9pIoayoHworxtvvDGWI2VKGVPWTMJIaEJhQ0gjf9QZK+m5SRhW1xHq6E+1iMkXEX7wSxiER7j1ktKRksLhVxNECLn0cyZ1NJmD8Ach8EvIp/4kuNL/pVRIUFF/tv1K/VTv6i/qO3KvPp2jHD+w/tXH9WzD5Jm0kU76IO2Qtkd+yB+8jbyr7Ckb+hvnA+GJ8EbqHCEcgVn9DN555513xu890c/oY5xNhOfSfmhHEAK4+ov6CTwbwR3+XY1okynhj3Dod/RF+q34PtvliJ+2S78nXbRf0kl6ST+rxNoFIuIdXgLxrHfl2fIXwmH8oE8QLgS/QbARz6HfVCMmPigr9TP8oNgweUrfZ9yGT9HuxIupQ7Uz2h0CsngIfQQ+tvLKK4epppoq8h3GbsoZHke5oAARH2VF+TGmMt7ut99+cVxnjOfYA7eesu0ZHgIvgd/wba555pknyhCEDaHQQfAe7OE9XALGZRzs7IH3wLvYCo1MQfhMJO2yyy5h7733juM+vJJxnXqlfZAH0gqf1phNWdHG7LhNvcD/GQsYE5gEhuBHtF3GDXgRbdn2cU3k0t6ZyKW/a5KJsraKu4j+ImVE47mIutBYxy/v1gxS30z7rcxF6rOpu9S92oPMFAd+9J4S5vLDu9pSmqd0nGaiA15IOVFu8Aj4JuWr8RgeoZ1V9C31GRF9R/2HviNSf5I7xhYI/5YIk75IfTPuqM7hT/zqWWMR8oLqnvEHnka9U9/wOjtZr2c7uUNbqEaaJIJ/atLVEuVGnxTRnihPxgzKVhMetCueIfFkuVcbxB2/mBM28RE3+SBPtGnaN/mlr7DQglzAQg58hjYN3yd8iLAYS9oLDVe0aJQ0UDJBwTJgUWkI6igMMByYDzNMDCwwEgQamBpaJ8oKDIfVJxgQq1psM7SrVbxDKDzViFUxGCTMDEUJxoZghQIFs0NYg/ExyyUhDYYJg4RgllQOhBKIgCjlD4WNFTqYN8SzFDnscYeyKMKvfU8J91Ik5Rc/KSFAKk0QwiQk5g6jV/qlQFLe5I+yZ4CA4SOYMmCQ/+7du4+hVEIbbrhhLEcNBCiU1A/KICsGDEgM+gwEDOoM6AyCmrFjoIVRwGhgOgigdH51fJgSHR4mpQ6PcqFOL2GOTmQ7qTqc7XjqfOqgtuPiRn7plDACS3Q64iE+MRkRgw1pouMyaJNeK9gitJIPBjHyxKBGHskrjA8mCEOEcVoBBMGDDo8wIQGM8qMcGewpV4R8lGmUDcoc4Z+BGGUeZYC6QBDYeeedY3+BmSBEbLLJJrHuUGpo89SriAEeoYMVZIQG6p42QFugTdA2aCNMgtBeRLQfBAYRbaqMEDwkXBAOkxeETz+jjXJ7GH2EtJB/6oD6FZMVU6Y9wCRpa8xE0Qe53n2CCSaI7Zw41M6JlzRKmCFvyh8r6sRPOvBDn8A//Snth5boa7iDL5An8kI48A3KkPJca621midhKHf4lVbPqRf4nCZf4HGaSEGY0uRJPYRbTbpA+NdkDWGitBI+baQakQ5NBJWRJoiIk4kdPhZLW5QgL8UAYR5lAaUBoZU2jJBMndH/JczT7sUHJBBo4gZegDAgov/Qj+hPCAZlSqGIvijiHfeajMA/hLJLPMRH3BJ+6JNMMMGv6IMI3EwyqA8yaUX/owyoA8qZMYp63XbbbZvHIsYZ+httAP7JYI5Qrn6GYs9kAO2fNqj+pL5Ce9TYIxIPLyMr0Fu+r7ZK2LRX+jJxErfl95pooA3DI+hf66+/fhwvReQJ0juTEZDs4C+0ffJMGJDyDjHWQvRz4qIsiJd+SR8Sqa9C2FNe8CLSSZiUI2McfIOxFp4Hf4XHI0QjIEu4hxD+JawhBKOkED9+2U1DGVEO8AV+RUzaUF6Uvx3zxQ94xlzlDS9RGcN3IMpZz5Q7drgjTvxA5IWwJUto7Nczdpokwh91STiETRopF+0AopzhQdQFdUJbpF3Cgzi6wZgN0WZpu4wf9HHaMjyEdq3JW5Q7O3nLGISMJqWdPi6in9BfNOmEwkc/R+GT0ocSQD9H8ZCQTz9FAGbMp260cidBnbGe8UATtxrXVZ92bNevBG7JBnacl4JAHMgVxEe8yBukAWJMJ33wCI3ZmkwgH4zX8DR4G3nWOM2EBvIr5UXZwY/hreyaosw1HiNDMTbQbyRbQfQ5S/QjEe/UKX0SgrdA4jPqm/RHwqbOmSiEL1HvIsYh0sI4hLxA/Yu/M44ge2vnR24Ch/rXBJBIZpbgl5rgYfKIcQGinBgfmMRQ2+HZTgAhMzKBIB4M8S4z3OCWfiy/Cgsz4iFe8WzGK+qEdk1eKRf6zuSTTx77EXmlHUrJgmg3nUrRYsYCRqdOgdIFI0Tzp3PS6Gh8NFxmT+gANHpmVmjwdEbN3NP4GXRTouPWIgm8dHQGdzoOgz3MQLNr1113XaxkKgzhQZVEBdEIqSQaJkItzF2dhzzQyOkMDAQMJjByEUqLSIMLAwoMsowYXCxhZgcj+Wdw0ADB4C0BNmXwDAAweA3kkAbguQrmDRNnwGDgQKCEuUM8QwwqMH0NApZkzmDAwMHARNjER0MmTeSB/FM+MAwYAswARsCqgTo9HR5BGkbF1gs6uxXo6EB0JjoaM5sIc9QZHVCdkZU5GD4Ck4h3GCN2uFUnptPSDgkPUmeFIbBSQ3wwDJgH6UDApNMyEDEowUwRaCGYKoMXjFXKDgop+UyZqwQv2gftgQETYUKCF2WnurEClAZlBnqVvxR9q9RTX6ozTQKI5E7KgxR01b3eIQkR1KmUdKXNEvWdkgRG7CVMSkDgFzekEWGH8BHKqA8UXfgEA6oGSwZKDZDwBeqZ8uOMFuHDPOmj9FWEA/ou9QYTpn1cV/RtSEI0dU3dUp/UJfUoJVV1Rl0xyGkyBsFPfU2KGnkin+o7lDdla0l1o1V09RkrsFlS/eKmGqn+yyhNRy1K/SndmBEfaSJt5NO2CdWz2gdlIoVawia8CR5AW6feqGv6AWVMv0BBsVvDJSDAGyQUwHdrKYWQVTLtRAT9UnUM3yYu+iVpgHeTLtJIekm/lB/yJf6Y44WUVbpDQvWqX/ypPxEWRPlBxJEj+hlpoO9QltWI/kSaIdyrv6mvpn2SeKlDtVvxe0jpzrUztYOcnewtKf8QYVMOKY+BeBdZc0hpxR+/EGe7pWgxpiDYI2Ajb8A7pGQha2Cm1VTcoFjTRujLlAdlR/ukrVJmlBPlxjv9HL4Mf2bMhRcg2NJGaU8oKAinjFeMEfAUxg0Jk/AZxhfGKvEchFPGNvwweUFaaJ/IE4TL2MgYSR9hfGCcV/pIK/Vpx2vKiGd+KSNb7mm9UkfiRXJn6yol1ZWNh7hpQ7Y98asygz/CK0k7yh9lRl7IE/2Nfk1/po+i3Em4Z1yFb1M+lJMmbCg/K4AzhjOWa2yHr7MqC2EugRz3kMZ5yj8VxJEviJf4SQdjOvVB+uAT8CHJdyiwku1oD/AJ9T21G9qq7VO2L6l/8K4+kes7Knv5te+WMJMfG44o5emqdy0IaDHA8nvFT72rvi2p/0GpXRnhVjxPbYf2Ip6kdsQv5QgPox1RtuJpPMsM3qY+AFHm+BfxLjulE3PeqRfyyMfO+TQMsgfjDiuJTKzDH9BXUNo73YqWZhrQFHnGjBlqZgzoGJyPYHUAZghzxF5LyvpNl4kxg1jqLVsGzhHha4VNM112BgTSsiOCnVY0tJLBrDozIKxooAyiCaMEovBJmdMsKTMhbLfQbIjduqVtFClphSMlFEKRzHDPdgFmkFBUYTSUpVUqYDQwKhgWygMMBgEUJqNZBzsLoy0SKAwIODB/KQwIJghFzKgggKIswHQQTiR40gnoMDRqGjid1Q4ElnmIQVhGQWdXh4dRyb8NRx1dHUydVcIJVI/QISIMOr8ldVQN8sRNJ4UBkS7SLwYFKR+QzR8kJoYb2Yk0CPJM2fAsJke8pIU0k34xIcqZwZ/BF4YvRVxCLIKHZqM168zMJnVHHVKnrBIzmCC4MrCg4Go1hDaAsovSQptAcUEw0CqG3ZKUIxRifnFD21JbY+aIgZTBDeWGCRbyQxnzzADIpAi8gf4JaYJGihbP9Fe2ORA2Azlpo48xG6nVT2Yu7Ywo/kWYocwRnvq17dMocqyAwJ+YlGEFkn7Llif6GYM7gzf9ibxQVgj1CF70E/IC89bKBgoFgoYGaYQQTZRA1J+dTadOqdtaRJ+zhBl+CYPwCNdOzJSRVg9EmCldhEVb08QNbQ/BAuLZkvqb+hltl3YswcC2dUj9w/Z9KSxpv0r9VCPFJ5JfG4b6I/a2T0Myg9eIx9D3yDPloLKmfOhz1Cl1Cz9EYUMQ16wyQiUCG32NNmInA5jEU7/S7DFCJn0HPk1/kMAOD69FCPP8wuvxh8BPv6O/Ej7x0Afh9cRNH0S4RNil35M+FFGUW9ItZVTEO4Inz+SNNo4QCvFMu5eSrJnzVFFOV3Mh+A4THSLLiyCt4JI+wiEO6kEr2ZizSglv0NY1toIiOyBvIB9IeMKOfs+WLMqbvksdUEbwJpUN5UX5U6b0dYR5lDkmZxnf4Q/wIK3AIKTBb+ArEDxG/AZ+BvFM3NrVoxUVZArtkGAVVqspyA9aZWVMR1mgLcBfqUfqj7qDf1MGUtZUP7aO4EW0S43btFcmjzTpS1uGd9C26e/0dZH6vO3bIvo4/cQqFpCe1Z/4pc8h4EM8Y6axTrxB/Y6xl7Ah+p9IY7biJz0aF0kfZhrTrXue6csK047rxEla4DfwHvEFEfxCY7jlG+SZcAhf/IHyEo+Al4o3wP8pe5RNTS5RP/Qp9StLjCMQ/TAlzHGDP/oC/U51rRV14qC+iU+rY8gFrFiTJuodHq9xh7rXuCN+b+s9R+SZ8rdtQuWtMhep3FX2OZK8Bcmdlfckk2Em+QjCHXGoPSh9kpXIA3kkv+SbZ/wzUUO9U57I5/Rf+IQmaTqVokWCpdRohlpLv2QMRiMBCiYI4Qcmya/dM6s9+JCULn4xr4esUqZnkcLi17qRueykrKEM5kh50JkE8k3eyDMCooj8Y26JgQDSoJBzgxlEeMz0a2lcv2LqYuxWsLTb4US8i8T8Yfza14rwqjMgEkARhlEo2f6HgMugxSCEAIpip8GAwQqBgsGcAZQBFqEDZgFzgCHACGD8dAA6PQyKTg7BtOgkdB7bcdVh9S4zOpztfJjRMXmnc9pOC6lj82vDtMxC8fJLOui8pAtmBJFeGBRppyOnWzgkeJFXGCHMUdvIEMxRaCkXykdbs+zsHrOkDPjMxjFLRxmjWDP4UuYo3JQ/AgADM9utqB/qiW1TTARQbylRn9qeqUtU+IUws3vzpbzQXuirZUT7koID8YwiQ9viF0GCtkS7YisY+aKMGABQWrCnbdNm6SP0Ifoa/Yl32jhmPNM/SB8KEGHyrn4J77D91vZz+i/2msCx7ngXYU+8Uvbobyhs6jeUhxWWpKiRFm0ppfwRmpiA0Uo6Ey+adKHONPGiLTZ2IqUWpW55Jwzt6ycOlMTWUpo+2pkmdBA4aYOayNHsMQIp/Z56ZKsIyoImcGjT6v8I2rR7BHAppQiCdgKH9oBgQj9CGEQQtIpoLZKSSX9E2CEMJiAQeBA0CJt+iTCCgILQgoCKQkD6EO5JM4oJig8KC/kjz5QBCjdlTRlRn/BBbXtkwo2+h8CsdpBujaLNiNQ/RGl/kvAOD69G4vXi97RV/KkfKjx+iYc2TNy2v0Pi+Uo7/EPbuzCDb/DLu+zEY2QPWfeER7jwG8pAcREv5SEeYwkz3EIai+hb9CnGHJQMhCXqkx0p5FtyBXxAYzX9l37PmMqYCA/BDXnX+RTJIOJTxE/fpuxUvpJb4DPiS4QvngIRpyXLc3JuxHcg3rGHf4nnkFbyRV2SFtIoPgxRRpSjypQyosztFlq7fRZlFF6kbew6K0Q7hl/Qppm8pb9TpowxTCwxeUvb16Qtq0La7YEiTz/Rzh/GMJRkFGlWkxnfUN7p6/RzJp3oh4yT9E/GTsZ6BGMJ7QjwEuKt8K6xWuM5ig5EO4DsGK/xn7FbSoCIsPglTgRxjeeaQIF/II+QTilHTJhpohL5hbwxaUK+GaOZ2EAhp6woO/gwZcuYDO9nXIY3MO5RF9QNdUWbzpH6Ec/Uq4i+ZGUy9UXbV2nX8CDVN3wJ/kS9w6tIk+rejkHUvXZ3adJefF68nh1EIhR/+KKItoGcImLChzGB9iLSBBBjREq0JwjZEb7L+IEMJEKetKQtirjHvyam0lVQ6oX80L7JL3liYoI2iFxGXuAx9Dv6H32b8b/TKFoARgNjgtGREYQXKSUwLZgJDAwmQ8asUoQbzHmGEdmM4wYzfutFythEMlPckHULWffWnRQ/a5aSDceaVYu/Glm/tcLATAw/JfnlWQOBLW+Fyy8Nj/qQ8CllkLpjAGMwkjCswcEqdwwQGjztgABDgBmI8dMRJEDC8On0CHZ2O4BmbW1HRsCjo9Hh6Hh0Us3gQsxa8osZnVazx3RWuxJDRycMmAFhE6e2K5AOBh6YkVYfYVIM/AhcMDCdPYO5ofDA7BjoJGzRoSVkUB4QgztkB1EJXZSjhAMp1BIo9Es9WCah/iVhAFL9iXhXPavtqF2k5jnCjdqK9SOSO9Igt6RV6SQvlBOMkfpjAMKe9kUexTP0S14RPnimfeE/zQt+IeIH6pukQ896Vxp5l1ve6TNyZ/uQ/EDKr8qVPKrcbZmozJUH8gcp3RDpxV59qjWEH+uPdiBzwlR51ENlabJxkHb6uCZ0qAc7qSOBkD6vfk+7lkAtIZZ38QEEBgkL/EIIDQgLtAn6kXYISDhAEaxGCI78ql+mB8PhNxJ2JMxA9E/SRRpJO3khT+SPfJN/2iDlLKJcKCvKTW1AbZ42o/KUmW1DtA9I7c6S2pxI/qqR3Kn9KT7MCVN2lh+QLp7Vbm04IqVBpHByRDjyk+bH+lMarHsbvjVTW+aZ9NLWqEuEefg0/JRwaKfkifDlh7ix45l2y5jEr8Yq/GCvcoB4Vr1hT51jprQp7XIrv8Ql3mFJ4FnlITuVjcqEsIhX6ScdmKvcIOLCXPVn7VV2kMywV9j4Ud8mfMXFO+2ZvNLO4bcilRXllo7tUt7tpBNklXfGPPqX+jVjIv2QPs14zzjKRI6UOsZahF/Gd+qXsZlxGrICuMZ3xnaN73ZsRwhPx3XGGgRvxnRNWjKekwZNUME34BfwHngQMgr8QuM4fIs8kmfyTllQJpDGJsoMojxtWavOVFdqR7VIdWjrNGfPM+HbdqTxwZLlYap3W9fi6xD5gTBXvnhWm4Dklvxb0kSFfVf7SclOCuXsLWniQXIShBl2io908UuYPJNPygV7xgTkSOofvk85UX4qM35t32002kXRUqXTCMQ8eabCqSwKnncxRRqgGJAaEc85piUzfmuRBe/4F+ld6bNhlwF73NqGT155tu8Qz+pcNo5qVG/8OWpLeEBhkk7yoPRjliKNX/HwTF7JM4xFTJxfzFUOepY7MSKVm/ULE5Cgw68Gg1ynV8e3HV2dT4wDfznBSWQZEm7kTkyTtCmtSq8ltQFI+VUZqbwws+aUJ7+YKUx+8a+ylX/MysLHTOnATnFZd3Jrw8Qu586S7K1fS+RBhHulHxIPwB2/lKf6v9JL+cLo8EuZ6xnghzqj3NUOSI/qiV/yDohD+cGfJZUZ4SrNSpPsRbyTLuLEj82f/CmMepHzT1paS6lf5de+q+zLyLq3ZP3atFo3vCs/Sgsk9xapX/nPmStuyl48AKJ+bd+rRtad2pYlwld81DPu1Paw1zvhyD1pLYPybMuNZ8VPHDn/8iMiPSoXW4YKvxrJHeGo7UJKi9wAW+5KF/a4xa/NgygXjgXmNu16Fim+lFJ3IuIi/fRz+jdlCf9GmIL3I/TyTLuw4eAPM3g8z9Qj4VC3EhThH7hRmyJv+K0G5YkwVUa2PHJ5hjAXyZ/Sm/OjsCxhTlxldUB42BF+zj4F9ri3hD/FAanM1CcIm3TYsG04ijt1w7tNH0TY1CdlTx2In2tMVv2oT0LYpYqfxnpLGt9xK/eW5AY7xSN+oXym9aOywRwzfvWuMiNPEP55xx8EFI7cW8IMUnwi+bN2OaR+2gLFk5INM3Vj86A2ILJ2kPWncrH+5E5toxbhLk2bwhURF/WqdqV651nthnaEG7mlvYls+I1GwxUtNTp1Kn7pNDRufm2j5pdC5BmQUVuAacHm3qsR4UOqYKVNDQE3FvIj9/wqbQJulHbsFZbImqV5EDBLCbfEWYsUdxqfSO7Ia0o2HKVR6VRa9WzDtmFKKBEpXLm14fGMveysfzE4+bHloLj5VXh6Vlgyr5dwTzpteLzbjky41r2elTYIcwi3KhORyoHwlL/U3oZvw5AffjFT/HKnd6UD8G79W7+pe4h3hZmS3LYV+CWdyqvyo7oWwQMY8KTQ8s4vfmB2MEXMCIt3BCv4CPnCj+yUD+VJ8dr85gi3Ks+cvSXyIIWOtJAOlTHhAMLiHVK4KREWSMO3VA/K3FvzWlQN2JMv1R35pbzFxzGjjMmrfi3hT8S7hcKmPFRmvNu0pe+tJYUPKU2kU/nhV+1E6eQZ9/i16bPu1HYxV9plbwm32Mld6l7xkVaVCfFhZstbfLUa2XQpXOKyZag4bL5ULiLMlf+cH6U99Sdz4rYkt8Rlw7WEWY6wowwgwuCXCTNmqOEZvJNfnikj4qNfqryw5xkzyhG3mOuXMLHHncoKSssFt0o7v7lyw4z0puWlfIvkRuDdhkkeSI/SbtMq4t3GBxSnzLDHXTXCDYQ/IU2PwrSksNXWFI7SZ98VDyBc3smX+AjvmBOPJetflHNnSem2ZrzbMGyY6TNuFa8l7MlrLr/YYQbxjrnSSVkpDSmlfkU2PXJj3/FL+JasO0vyU0bER57UzjBL0ymSnY03dSOybmxdqP0AlYtNK+/82nfrPyXFZwl/CgNSvWFHe5PShcLNWI6Zyp42qWd4htLaHmi4okWBkHEyYWcObEezBYN7MogZ7iggNdiUbMXVA7nHrxqKbQyys+6sXTVK3fCuOES8YyfY8OVehPvU3hJu+LVxWrJu9Y4fNcQ0fKVP72kYkNJl3ckcooGqPnmmfqln6hFz65dfzLCD8IO50g/0jDl+caN2IlLH4Jkw5demS0QYlhQf4FduiEfPNnyZK12QjUd+lTaeMZO93MqNwkvDqOafdyhNO+85KguPX6VDeVQ+bX7l3pLit5S6sYR7hUO4YuqQ6l8METMYofgE7mF6EHZ6xlyzkTyTBpUFsGkjXPtOOvhVHar8lE5LNh/ET1hpe8iFlb6LbHi5+ETWXRkRP24Vdi6+1pBNcxoO8REXcZJ3m38oDYNn7G27Ur6sOxuPwlI8yl/OTzWykJkNX3HYuEifTasla650ya+1l7nyA8k9bm1eLGGm8FKSXWtIYeKfuG360rDlRiT/tjzLylCkfNRD1p/iLitn3MML6OPwAhQqZqKZhWbbFjPS4hH6pX8y5oiXYE488AzJG5gRD+a4kznxkU+bL72rfCD8iXjHL+HhPm1zehbZsC3l3KSk+JQG6w97mVv3eq5GhCPwjD+Vpa0PzEVKh+z0bOOUO36VT4VPuApffmQvv2Wk8G0cxC2SG355Jx7qXG0iFwfvit+SDQfCP2Yqc4UPKW4bpvXLs8JMSX7SvMif3CldqnebToWjMPi14erdhpP6T81FNnw9l1HOv9Irwh3pof5tG4Ns2q1fnvFn86RnG5cl7OAHKFXwDRQseIEWemgXkOQNhY974mwvNFzRAhQIGSGDYnKQMikzMqhC5VkFbgtO9ioE+95aSsNtTXiC3m3abLiinBs1TJHc8ky+bUOCZCbz1C/hCjYdNj78Uq4Q7zY9Kdlwy9wpTNthlDYbl8jmB8IMd2laeFc4UC7elORf+beUhsm73AqYKV1yS9pEvCv+WqQ0KS4RYdi2z7Pyb92oXJQWiGcR7pR+fuUGkj+bb5mJ5FZxWkrtCEeUMysj3BGX8kmebL7hCRKieFdZ6FkDI3xDq15a4cKcZwlbyq+g+JUGmy6RwLPcViPiJE1KJ+Hm3KXx5MLPmdlyT/2nJPfWbZoXhVeN5LYa4Y68QtShBItUuFB4Ng2ys0TZ2X4vPyL5hZROS9a9dSM/Nqwyklv8KU2WMJMbyKZbdmm8mMud7GQG8a74LfArc9yp/RMXZJ+tWY6wIwyFp3SIlFaId5s2ayf/lqy/MjdlJL82jDTOlPBHX6f/iwdAUrRY2cKe9FPm5F/8hXLATP1V8ocELiZp1IYlcKnsbLp4JhyRtVe+lJey/ObMrVmOFCak/Cl+Gwbgl3fsrH1KhMWv9adnQWEpbj0TLuWj8iQtClduMFPbtO5suhWO6seGIVLcIsyULj3bdBKm4oHkR/aYkRZIdYyZ0qG0iHhXHiD5sXHb9CgOyMZtCfNqVM1tak5a9JuSzYOe9a582DAVLuapH+uvrDxylJZNWVrLSH4gW94iG6ZNq/ym5vRvrWLBA8gL/V3KlXgD7pQ33LQn2kXRAraghJyZo/3R6DL3emwdbHmND2WW5rcaWeg9dWPNxdjHFmz84yOUf0ttQVv9jQ9Iy7e11JWQyx9khTrB2gvWTCR/OXJURz3l1FnKsyyNNv1lbroicnm1ZWCpMyGX9tTM0thAuylaDofD4XA4HA6HwzG+whUth8PhcDgcDofD4WgwXNFyOBwOh8PhcDgcjgbDFS2Hw+FwOBwOh8PhaDBc0XI4HA6Hw+FwOByOBsMVLYfD4XA4HA6Hw+FoMFzRcjgcDofD4XA4HI4GwxUth8PhcDgcDofD4WgwXNFyOBwOh8PhcDgcjgbDFS2Hw+FwOBwOh8PhaDBc0XI4HA6Hw+FwOByOBsMVLYfD4XA4HA6Hw+FoMFzRcjgcDofD4XA4HI4GwxUth8PhcDgcDofD4WgwXNFyOBwOh8PhcDgcjgbDFS2Hw+FwOBwOh8PhaDBc0XI4HA6Hw+FwOByOBsMVLYfD4XA4HA6Hw+FoMFzRcjgcDofD4XA4HI4GwxUth8PhcDgcDofD4WgwXNFyOBwOh8PhcDgcjgbDFS2Hw+FwOBwOh8PhaDBc0XI4HA6Hw+FwOByOBsMVLYfD4XA4HA6Hw+FoMFzRcjgcDofD4XA4HI4GwxUth8PhcDgcDofD4WgwXNFyOBwOh8PhcDgcjgbDFS2Hw+FwOBwOh8PhaDBc0RqP8Y9//CPcd9994Z133qmYOBwOR+fAf/7zn8i//vnPf1ZMHA5HR8bDDz8c+2z//v0rJg5H18d4qWh98sknYeuttw6HHXZYxaRzYb/99gtbbrlllnbeeedwzjnnhE8//bTiOo8nnngi/N///V9YcMEFw/fff18x7fz44Ycfwttvvx369etXMamNESNGRD+Qw9HRQX/ddtttY3/vjDjxxBPH4Fui7bbbLpxyyinhjTfeqLjO49133w0TTzxxmHbaabvURBG86L///W/47LPPKib1Qfxr5MiRFRNHR8Kjjz4a2/c111xTMelcSPuppb333jvmq5ry9PPPP4e///3vUeaAd/34448VG8e4QltkJUfbMF4qWq+//nr49a9/HRZeeOGKSefC7LPPHn71q1+FP/3pT+HPf/5zC/rd734XmRn03HPPVXy0xE8//RQWXXTRsNBCC1VMug6uvPLKmHd+68Xnn3/eXGYOR0cHQvjvf//7TtteV1111Zj2HP9SvqBrr7224mNMrLnmmlHJ6mpCwgcffBD+8Ic/hE033bRiUh9UZl9//XXFxNGRcOGFF8b6OfjggysmnQukHZkp7a/Qb37zm2g/ySSThG+//bbioyUwZ2Jkxx13rJg4xjUkK11xxRUVE0d7wRWtTggUrYkmmigOyl999VULYnaXWWE60OSTTx6GDBlS8TUazz77bGT43333XcWk68AVLUdXR1dRtFi5SfnX+++/H4466qg4kYQQ995771V8jcaHH34YDjjggPC///2vYtJ14IpW10RXULSQl9L+Cr344othscUWi27o2zlccskl4dRTTw1Dhw6tmDjGNVzRGntwRasTAkWL2aPBgwdXTFpi0KBBYcopp4yd6JZbbqmYjh9wRcvR1dFVFK2+fftWTFqC7W/LLLNMdHPMMcdUTMcPuKLVNdEVFK0ll1yy8jYm2IKmNkgbdnR8uKI19uCKlsE+++wTTj755Li1LgWNEnv20FuwKnTPPfdEgQB7ZmNvv/328M0331RcNIE92thz9mDgwIHhjjvuCH/7298isUWmNeekailaYOONN46d6PTTT6+YhDB8+PDwr3/9K+aRtOgsRLpf+rzzzgtHHHFEfCZd9957bxwghg0bFs3Yb/3FF1+E66+/PoZz0EEHhQcffDAMGDAg2guEg30ZUVZpeeZAfXAm4+qrr47+DjzwwHDbbbfF2bQUVtFiDzLuVM7Ui93aQL6PPfbYuJ1BgwThH3744RUXIRx//PGxLJR3C9Xpq6++Gt85e7LvvvvGsklBHjgTiHsrDGHOLH7v3r3D/vvvHw499NDSvJXh/PPPj+F+9NFHFZPRQCjHjrQJDz30UDTjHB/C7k033RTjplxRzH3PdsdGmaJFW4Zy5x/ow9R5evaJcxWPPPJIM0+gL99www2xbdDPBVaWsH/sscciH6EN0Z45L3rxxRdn23wZaila4Nxzz41uOM8hjBo1Kq7YY0dajj766MjPUh7CeRHsAZNO9NNDDjkkPgvwbXgwbZ7VsVtvvXWMFf7rrrsuhlNGlFVux0AKypHypFwVH7zs448/rrgYDatoUc4vv/xyM9+46KKLIq9Q/cI7VG/iX5zR5V244IILYpw278Jrr70W3d55553xXW3k6aefju8puMgA+2eeeaZi0gTyRlkRD3yW8idvuXF0fEWZokV5wvtzOPPMM1vUJaAtMTbAp4888shof9xxx4UHHngg9OnTp+KqCdQr9owLjIW0P/g8fQH/rbmQgrRXU7SA2iArXAKyzlNPPRXHNdLCylY6TtGvGWchwPhIfyR/Am2Js/WXX355DIcxmnPmaf876aSTon0ZIfPUgzJekzsDidwjHoNbeDAXjaXyUBlUzzl+QJ6xO+200yomTf0Uvks7UL3yDj9Cxqm3Xq2iVUtWEpA1iCcneyIHkda77rqrYjIatE3STfvDDe0vJ+Ngd+mll8Z2TjuiLDGDj3XmM/SuaBnQ6DDLDRDbbLNNtLcNjDNQk046adzmIiYjmmqqqVoI1GeffXY0Z4CdYYYZxvCD+3qVrbYqWhtssEH47W9/2yJe9ldvv/32FRdNWH311cN0000Xmdgss8wS08r+ajGOq666Kp6vsOFAU089dVwdEtZYY40x3FiaeeaZ69pKAFO1ZzdEbC1Kz3GIeaBYkJ7UzwQTTBCFFwDTnHXWWcdwgz+hW7du8SxITlBhKwTuJaggEPGO4pIChondHHPM0UKA3XPPPUvzdvPNN1dcVcdqq60W/SA4pXjzzTej3TzzzFMxaUo3dYpARR3YeFXX6aDt6DgoU7Rmm2222J5zwgBCC+4RCAQGdvp5jn9NOOGELbbtvfDCC9EcQYYLdFI/8APaWj1oq6LFJEbaV+DjCICWj2jrNOUAP1daxV8R0OADaR4wszcY7rrrri3sU4L31yPUoIj+8Y9/HMM/Zkw2WVhFq0ePHmOkEbuzzjorumWcIn/WXiSss8464S9/+Ut2bEGYxa0m1XRBEvHmIH761ltvVUyaeElZ3uzYM76jTNHCbKONNqq8tcSyyy4b7S0QUGmnKmcR7QQebydZqFfsEKCnmWaaMdzT9+sVyvHTWkWL/k2a6KOyg2jDN954Y3QDmCiZc845I6GEMf7gbvrpp6+4CFFBStsZecCNnSDh3Ll1k9JSSy1VcVkdCPf18BrkHco27acQ/LiajCZo9f7f//53xWQ0kFWxY2umgEKKHEc5zzjjjC3iJB3IkvVMlkpW4pKSMlkpvdF17bXXjmNDTj6gbeIv5WmvvPJKmGKKKbLhc4zFAnP4D5PfOvsnoj7gWZ0RrmgZUJn1Klo0NAZazGAaMAg6PLMgcmtXEaRoIbSvv/76sZPgnnMGDIbYMSNYD2opWjBPpY3ZBZjvJptsEt+ZISBO4n7ppZfCiiuuGM3tjAmKFv4XWGCBMP/888f8IURRLoRHJ5933nnjrA3KJLOsZ5xxRjRfYoklKqE0MVriscTMN8oGl3akM6M5UIakb7LJJotCIv5RWlCw6PCQnaUX86B8Fl988djJWV0kjTBrOi9MBSEThYd65Jpo/ECk0QolrVG0UOB4X3nlleO7xd133x3tmK0RmCWjHcKQn3zyyTjDQ97IA4MKjIjZwFpoi6KFGcwPgY6ZOmavmDFab731oh0zj46OiUYoWriZa665ohmCO0oVbR9BnxlLzK0AKEWLvjPffPPFdknfpx8xA4pdvdvdailarOTAe3BD/6efKk3wVvo7aaXfShnaa6+9Kr5HK1qbb755FCbpc8y2wgcRZuANnF9ldc7yExQSJpbU15lYEt8S0UeXW265GL5mXquBlR74IvwOIYG6I4z7778/po16tBMzUrQQNhGYuAob9/iDz8ATCO+yyy6L7pmJJl2kB0IJ4l1ojaJFfnkn/C+//DKaCdQzdowXAumBT7FNnV0dlCWCJ7wOvkw4Zas14xsaoWhRJ5zNxozVAdotfBsez5iNOWOHIEULPk+fgM/TNug/asOsFNQD3FZTtOhXuIFoK7RL+hJtmcllVj1px+x8od3jTuO/FC3GWX6RIWhbnOEE9DPG7RVWWCGOcYznyFkI9Iyf6667bnQH1B8s0ScoN9JCGVQD/Rk5jPQxyUPZEoblNdyyKHB7NWb4QcZQfNolwwpzLbRF0UKhol632mqr6I92QLxcEoRdtYuEhNbISkJrFS3qg3QyocsuCMYM2i18EbfwYeITMKOuIPEU2j3tFH6yyCKLVFx2LriiZUAl16toIZRS6XabmSCBm2VSQYoWjCQFAzuDYU5AzwFFi8aO8EA6LCFISVhGkGLLG9vuGOh33333SgijwewMK2yQluHFtOlkMA4LyodZlJyS99e//jX6o4PkAEOFSeHGKnZlwD3Ml46KoJGCzkdYCJe4BWIezHSlwgX1qvipT6HaGa3WKFqUH/WImWVOYJdddomMQvvXYYwwEwSq3KF+FB3aKEy4FtqqaNE+0nxpwGRF1NEx0QhFiwEV/gWvSEH4uLVtT4oWfTEntCNUMflSD6RoMdmU8i9WWXfbbbcoLCAAIJwRH8/4S0FeEULgb7gFUrQQrCSsCayywztz/ASFE3+sTOcA/2ClDQHEClvVAL9EGcl964utePAEVgOldErRIh0I0ynYRcFqt+3PAPeQ3UUBWqNoAbY1Ypae24DHYY4wBeD/KIKkHwEqBZNwpBP+6WiMovX888/HPpvb/oZCjltWnAUpWnbyU6CdwUPS3SxlIBwmXdP+CjERS3vEjcLTinRO4Eduod3QNoEULdyzImX5F+0MxYzJnXT3CxMnKFn4Y6IyB/xwBT1u2GJXC+I1jKkpSBe3NVteQ30QtuQPi1VWWSUqYrXQFkULM/htKocxeY7dFltsUTEpR72yks1DaxQtwkDxwyw3YQzfgJeyU0HALe2SfKdgkgeZqTPCFS0DKrleRSsHOj6zsez9x21O0WJWJAeWn21nqgYULcIqI4QUBlfN3tCQMWdgR/FKSR0KeyBFi1kHCzoj5izt5sJhpgz7smvj1bGZhakHnB3BPVseywCToGNKsVEcPXv2jO85oNwwaAiNUrQA24QwYxZPoF0wEw2D0iDCbB7u9thjj/ieA2kkrbXQVkWLwTAFAzB29bZFx9hHIxStHOB7CAwoQLjNKVoSjlLQ5xGI6oEUrWqE8sHKCEBAwgxhNcd31OclgErRyk0ssTK+/PLLZ8OB4J30U55TICwQLsJVKvTlIH7ZvXv3ismYQHBhLFLflaK19NJLx/ccVH6cIxF4h36pokX907bslk3AuIVQpPM13PyIu2qTg9o6njvrMb6hUVsHUzC20Fal2OQULW01taA90C7K+nMKwqlGtGFWLbQVUYoT47LtXyL6GPa0DatooTBasEqDOZMfuXCYwMCeHTs5cH6NPl3vxAjnzgmvjNcwAYG9eM2GG24Y3+njrL4g/+Xkx2poq6KV23XCSh92tbZ5AvFNu/MqBfIHSq7QGkULZZR3ZKhcWSJTMWZZeRH37GbIATkQ+84IV7QMqMTWKlowCrZxsE2FBkLDYcYDtzlFK8f0QGsVLQY5hHT2EluCIaHosWQraIsQM5CsRqVEZ8Jeh0+laKXChGbNmKnMhYPSgz2zDmk5MRsHY8+tkpWBrXWEV40RUO5WUBHz4HBwGZiVoryFRipaDDSUj91GxcwN7mDigtoDilkZtDKZbuNJ0VZFC0U2hStaHR+NVLRo12xd22mnnSLvY1sv7Re3OUVrhx12qJi0RFsULYT3lH+xDZF+gtAicI4R9yhJOb6jG1aZQQZStNJZbg38rDDlwoHgJSh5qcLC1if4J0oQfaQewIOIr9qWSrZy4waeDaRoVdtGTl3hh1UjgXfolypajH3MlMPzBMYByoyzeQj2QEpntXSi6OImdzh+fEMjFS3GA8JDyGcyjtVklGDc5hQtzmilaIuiRftP+yvE+Exfk7ygLagQMkGun0lG4lygVbQQwC2k2CCj5MKRzAH/UdsU6H/0Zcb7eiZGADIV4bGlLRefeI1W1+mv8EzMiIu64BwY9VCvnNNWRQuZKkVbFC22MZeBskNmE1qjaCntjFW5soRoB/A7AfdsEc3BFa0OCAR9GmJuT24jFC06LlvlaCQoFmuttVYcADlYyJ5i3LanosXydrXVNQvCJm6W2UljGUkRkKKVgi0CmBN/zr+IcrGMrV+/flHZg0nVK6QADdR28EhBvTBjpQO4Yh45JUJgP3J7KVq0HWa82WIlwLxh3BYSsKqdhRJjob1WgytaXQ8IHAjSucG0EYoWqyHMyqJUISCstNJK8VwB7tTP21vRqnYZhgUr4LhnAM7xG5EmZKRoiScInAXAnHTm/IvgO2naEHopp7Ib+XJg2xTxMRlUBsYL3MC3gBSt3JZ0QWdF2kPRAtyehrnaClsYeX/88cfjO9BWwlRxsNBWcnsutSsDRZ7+mhvjGqFocYMfK42Md0w6MJ7TFhgfJV+0p6JVj/AOUDBwD7HtLNfHRJx9sopWCq3UMR7l/IuYlLVyG2M6iiGrbLltwmVoLa8ByGFcXMWEECvR9F/CYBdLNdlFGNeKVjVZiW2nbVW02CLKO7JPrgwtCbh3RasTQcrU3HPPXTEZjbYoWuqAUm64wpZ3hAa7egS0ha6jKFpa3i67fIJVGAYJzSaVKVoS2tnznAMCHuHYmRyW0pnhobzrPXgrcJVrWo4pSCv7vXUWQ8yj2iFsZlKYCRPaqmixPRE/VtECvXr1iuZaVUMITbfYiClVY8TM0DNTWQvVFC2duXJFq3MB4UCzvggiFm1RtLheGfcSnrUiAS+h/Vtwfgu7jqJocXsd7rntNAfORsJ3EERBmaIFKDetfOVAOCgruuQChZRZe8Kr97IiQUJSNWGWa5kRnCU0SdHiwqQySOCwk4i8Q61RtFjJxE+qaLGaCE9lRZ1yQAG3whZAoCPd1Q77a3Iyx5e6Irh+n/zmtqm1RdFiOxr2Ap+Q4Z2t++nYz4oSdh1B0QKEjZ+ybaO0U/oaq1DVFC3dhHnCCSdUTFoCv4RjeQljNeExdrZ2NVW8xm79t0h5TQ7IUch7lAE8vNaOlGqKlpSV9lS0qu2qSWWlaoqWJuikaLG9mHfGhjLQPqy8iHtXtDoRuNmEwYLBIAWMP6doMQNSpmhpeVgMTttZ6AgpmPXErqMoWtyuRdxl55YYUJnZ1nXOZYoWoOOVpZN8E449G8FthNQBt4bVuqErhWbGWCHKAaGEemSmWcqumAfnA3Kg7kkPs4VCNUWLA5hlipa29qWKFmnRKgFhE18qJFLWMOEyJsQqIGHQ7mpB2x1yAo1WzlzR6lyg/jUzam9lApx7kBJmwWxqmaIlZVyKFv2S99xqA5fnYNdRFC0GY4QmLsnIgVUh+I6EqmqKFgKIFRws6KuEM9dcc1VMQgwTHoMwnG5NqgX4HSsPZeUC/2ZLFHWps09StBi7yrYezTTTTJH/W35KfqFU0UJJKlO0dHY3VbQA/JN0w/fYnsaODQuUcXZyQDneCNhGRf5ay/c7K3SzLGcAU6i/pYoW5VOmaGkniqDxRpdWWegcY0dRtJB98JNTBkg/qxzs+qBtVFO04IO09bJ0Uub0WZQPQRe6sBrW2rZHu4bX5M53AuIhPp0f5diItv2m0OQ8SnY1cIEI7nKKlibI2lPRQt7LQbKSPWMK/y9TtDQhJUWLsqd9wz/Zep2CcYoVR9q1gH9XtDoRGMQkqNhD/6ywsGce83SAYZmU5V77/RhmNLUFApJyw0wk7+nWL4Qg9rVi11EULRgbwgWKJLdWWXBrEIMl170K1RQtGBAdh60tlKUFSgl7+bVUD4NHiGCrXrUZoGqAwRIfwpONj4GCcEmnvYVJzANKz3YhSLFChZ29gaiaokW8MF47WMFA+Bgz5vhJFS3A4VwUNGbBc2fWYDKs9OE/vRCDGWXOQ2BXNpNnoQs4EIbsAXlW+ahz7FzR6lxAqOesDHWRruiyvY8BkIHHgpsiEdDt+UQmjRDy1FalaOnGzlR5oV9JoOsoihaCGOEz8cAqjBWeUMLgnazmSQCtpmhJ4KV/pn2SbVnY6VIg/CMosOXZnhlrDbh2njBZRbMfMCVuBGzs2FooJU6KFubMHlvA/ySUpbsKMINSRUsTLayGWHAuA76EXU7R4sOktBl2QcB/05UB2hWrWfi312sD8qbbxljVGl/AWEqeIbutE4UZ/kufTcdfxnKUcdu+aMf6HAsksJLFu9qngHCtieCOomhxVTjtB1koFbIZoykLbY+tpmjRL2hLhMVqk50E53gCO5bIh9o97RYeiAyTyif1wPIatgOmvIaVXctrmIRIrygXtFLFpH81aHsk/MDmj22VtA3s2lPRgqrJSvZsuc7Nw1csOL8vfiJFCyAbUXeMVSozgJyixQq704l3V7Q6GRCmtcWGGToGJ3VoGrBVqABXjmMH0QhYhYFRMNhK+NDgjJAqt8xc0PDYj4yiRkPBnDgkhI9LRQuwz570oPigaCKsSSAhf6x6CdUULWYyxEBQTJk9YtaF6+Exk1CIEAVTYpBmpoPyyVGtPMDAGKQIG8WKGUG2ZpB/zNJryMU8SBsMl9kYBhyUGTEtZnlTMEuFHWHbq+d1oB3iylQGB7YBIgzpGxo5RYutB8RP/tMbvAQGV+UN5s5FJrQ7GDdmMN56DvEy68csN36oO+p2s802i+9ijK5odT6w9QwhgvqAD8G/dJ0wfC0V2hCosINom7QneBFtVVccS9EibK2KIdDTF/kEAW2PlTGFo20l41LRAmzHpo3TnxAOyRt9mn5LPuj3QjVFi209EmIRTunv9GlNjtnby/QtL8oy5VsihOtqgF+ywkE48G34I2egxC8pa7siJEWLcYqJGk3W4EeTL6y4patdWrFEESNdArPk4m3UM0IQ2xJpP1Isc4qWzrOx6gDfTC8pAPBufYeR8QvezGUmyhsTSWWrcl0VlD9KBOWLYkS/0zctGTetsAm0qkgd0TaYwIVXU+bq64K20kP0Q+qZ8Y+4qFvMmVhjux0Yl4oWChJtjbSRF9oa6ZUCTt/ThGw1RQugRKHQYM8uEdoZcocupmA8A+QJuYBxl/6iPppSLcBr2LlTxmvs7hSOCRAfygRHNAgfeUhKSj3fFoQP6lIPJksZv+FDtCOd4WxPRQu5ql5Zie3KKT9BNrb8xCpaKI6aHEIeRL6B30qGRJay/A8zV7Q6IfRhSBQgGgjMhYosGwCY8UQzxy1+GDRQyJgRxMwqBgiqdHbMIfxJkWKFCDPNOjPTwrtdXbNgy4/dzlYNXLfJAJwy7VpgEMcvZUBayB+z5iyXW9BxsC8DjJEBQuUEoazZVSKYleyqEcyxFihzBqA0PgaeFJydw56D6HwcEcYrP9RV2TI+txspfLa8WBAOjEfh8MxgxpYB3nPfDSNfcn/77bdXTMdEmjfqhHSWnUcpA22UZXjFSXjMbrJyxrvdfnnmmWdGM3u4XWBfNXb1tkVH+4JZTYQS9Vl+EcRyM6iAtmbbPIIXs+v0h7TOJVCIN9JmmBQBDLiY6apdvs/Ce9n2PYRqFIl6gPBCWEwQtAbMKDORwNYV/JNuBHzOjlqgMGKf+3aVwOy47dPkXQKbILtqVO3GLgF+SZ9L48sJfWwhRDBHuWN3BP1WdU++Mc9t1WPbNv4UvgX1jJAjO9oHfJLvPfJeJnwy0YN9raux2VEAP1b4pIMZ8rasKHR2IFiefPLJLcqDui7rNwDFwbZpJi0YPxDSMbNgAs+GzcTIdZXPsCCMY8YFGYB65T03EcgEALyhbNtiCsLJbYmsBX2gWDyGfKJE2G24jFHwGezLwIQjEyiUJe4gxklNHAHxqFpUD8p4DdfNp3j22WejzKA8QtSR3WlTCyhITCTJP/lkwpeVH97t9j2OgGDG5FcKvsmJXZmyYiFZid/WyEpM0tF25BZ/tEHxE67UT8GZ+bRPoMCm29yxo9xzYPIY+86ILq9oASoTZSI9NFkGBjLc0tm0FYttH5ile36Z6WPGBbJKGIMr7rWXVWHmBklA+uqd/SNdxJempR4wEHCGiLSUxUeasa8F8os70pLOeCr/tcgulddCtfgEuZESqrpP6ycFZUnbwG+qeAIYPWFgJwECM9yXrTphB6XMJAe2VirusrzVAmVJGgnHtjPebV0rrpwgRHtP3TvGLagTBC/qhb5phZQcaPtpW8UM/7l+Cj/Bzm7vVVvCDhAObsqUI9pLrt/kIP7Smr4v4EeX91j+bEEasa8l6KuccJvjDZjXonpWnAXFB5XxIvU/e8GSyosxqBrP1xgFpaAsqB/iFm8Uj7ZbGi1UznJfDfXkbXyCxgaonm3zKmv6ufq3xukUKmvq07Y/xSkZR+0h10bVvyWf1ALhtHVMsPJXjn/QpsWDqgF3kqMsbxPEo2pRvaiH1wikTTyatLVlDKfeqRPCSMdvwhZUr/TfFOIf1n0Z2iorgbbwE9phLn8W1dJe1h86A8YLRcvhcDgcDofD4XA4xiZc0XI4HA6Hw+FwOByOBsMVLYfD4XA4HA6Hw+FoMFzRcjgcDofD4XA4HI4GwxUth8PhcDgcDofD4WgwXNFyOBwOh8PhcDgcjgbDFS2Hw+FwOBwOh8PhaDBc0XI4HA6Hw+FwOByOBsMVLYfD4XA4HA6Hw+FoMFzRagX4WvYFF1wQzj333CzdfvvtFZf1ga+k33TTTdHvAw880Cm+qP/KK6/E9PLraB/wBfXevXuHa6+9tmLicJRj2LBh4aKLLgp33nlnxaRr4bbbbos85/PPP6+YOOrBHXfcEcvtyy+/rJjkQbnirhbdddddFR8h/Pjjj+Hyyy/PuhPlMHz48HDjjTdG+//9738V03Ko7vv3718xcYyPeOihh2I7GDFiRMXE4eg8cEWrFXj//ffD7373u/B///d/WVpttdUqLqsDwWirrbYKf/rTn1r4n2iiicJee+3VoZnJaaedFtNaNpA6fjm+//77MMkkk4R55523YuJwlKNPnz5hwgknDGuttVbFpGthlVVWiTzn+eefr5g46sFKK60Uy+21116rmOTx8ssvN49B1Wjdddet+AhhwIABYYoppsi6E6V49tlnw5RTThnmnnvusN5664Xf/va3sc0yHubw2GOPhT//+c/hsMMOq5g4xldsv/32sU3R7hyOzgZXtFqBZ555JvzqV78KF198cZyNS+mTTz6puCwHM4FiGt27dw/33ntv9Hv99deHOeecM4bPc0eFK1rtD1e0HK0Bs/3LLrtsnKTpinBFq23EX8SqAAAur0lEQVSoV9GC39x3332ltOGGG4a//OUvcXVJYBUMJWifffYZYxwUpVh66aXDjDPOGAYOHBjfWdlivHviiSfiu8V7770X07788svHVTDH+A1XtBydGa5otQIoF3T2f//73xWT1uPDDz+MYfzmN78ZYzvEP//5z2g33XTTVUzqx8iRI+PMYNlqmOx/+umn+I7CxzvEc72opmj9/PPPzfFAo0aNqti0DuRBYSi9ZSBOuSfuWlC+GbzxC5RmgTirhYcdJP+Ad5U95oSvMKy7FDb9Kq9aihbuFD5+q4XvGHugXqgTtVm1IyitI7mtp/7kljrP9Qf8K6wcbBsra4+5MIi3LEwBP5CgvlRPviwPIq4UCmvFFVeMPOfJJ5+M7zl+pTKCavW5alCc/AoK15Y972UKgMIoS4Ps6ymjMuBPPCBXdqBeRasa2CL+hz/8IRx99NEVkya88cYbMWy2vtcDti/i/pBDDqmYhPDpp59Gs8MPP7xi0gTKZ5lllgl//OMfwxdffFExdXRV2L5bxm9SRYv2Lz85qI9ZXpGGzzNmtq8D+nm1vqX0qu9aPpbjTRb4UbxleXV0Pbii1QpsscUWsbN/8803FZPWQwPUkksuWTEZja+//jraQfXihx9+CH/9619Dt27d4mzhHHPMEbclpp34mGOOifZvvfVWVOg0uzjTTDOFBRdcMDurmEOZovXVV1+FjTfeOMw111wxXAhFgVn2lJGVAXe77rprXNlTGAsttFA4//zzKy5agoGavJJn3FIGe+65Z2l8V1xxRVh44YXDzDPPHGadddaw1FJLxXQz0C+++OLNZ+QoH8JLBQBBafvss88qJk1mu+++e2S0pGn22WePZvPMM0846qijKq5a4qOPPgprr712TD/1QHlddtllpYoWzJ+yWGCBBcIss8wSw8cvs76vvvpqxZVjXOHss8+OdcJEDLTccsvFd2j11VcPH3zwQWwfJ554YmwXqj/ay7ffflsJpSV69eoV5ptvvuiWOl955ZXDm2++WbFtQt++fWN42223XcVkNFgZQOBWe6SPsEJh2y6gH5CWfffdN/KOE044IYa5zTbbVFzkofyBY489tgUf2nzzzUuFiUsvvTT2bfJEf5x//vnDSSed1EJ52W+//WJYCPrwnKmmmiq+W15FX4f/0VeUFnhQjx49Wj37vcceezTzL35PP/30aL7IIotEM7aOC7yjAOZ4zaGHHhrtv/vuu4pJE+AvKBpsncOeOqEuWpvOt99+O6yxxhqRhxEO9fT3v/99DKHwlypajHNs9WPcS/MJHyLses/q0mZxz7kugbELs1122aVi0gR4OErWL1EQHR0fQ4YMCccdd1xsv/AA2jJj/6qrrjrG7qBU0WKMxD2Uw5lnnhnt7LnCxRZbLGy77baxLSOXwKPUf5ANAH2c8ZS+Jb50//33RzsBnow/ztizyo4cobQsscQS4cEHH6y4bIl33nknrLPOOs3yDfEz/jMuOLo2XNFqBdiTPu2004ZbbrklChGcyeKXjsegUQ80s8d5rNSPVrQYwOsB2zfotL///e/DmmuuGXbaaafY6QljmmmmadGBEaAwhwFxzoxti7hnjzx75TnjUU+HzylaCJUTTzxxDBeBknAZnKeffvrotpawBigX0ox78kAYm222WZh88snj6t+BBx7YYkaZsmLljy0t66+/fnQPU8Q/ylQquCK0YYcCg2C79dZbh0knnTTWKUILYQ0aNCi6fe6556JbBK8csIM+/vjjikmTGYI1Ah/CI+GTb+oZOzuTC0i/zuitsMIKMf2kg+04lB35ShUthDLcoxiThx122CHG+etf/zqWNYOPY9zh+OOPj/WDIkXdUq877rhjVIwxp13vtttuUYhEEUB4oP9ix/Y4C1a7GYSxQ0CgfTBI45e+yuqOUHZGi8tU8A/RL0kLaaI/0e45AyPAS1BoaLMIIWzpQvmvdT5G4aPk0bfos6R1ttlmi+asTFhli5ncTTfdNNrhnrZOX0GwwQwhR3zxkksuiWGJL3BGiHftKGC1Q/6YKMEOQoDBDKWvnguGUIjkB+WHMEgXip14EHYISoLCzyla1DH2TJwJCGUolvBaBEnikCJE3aE81QO2lcO3IMoRwVFtiPIRDwO/RNGinuBH+E8Ve0D7xe7uu++OfIixcKONNorKdm4Lfb2K1pVXXhnLCKXb0bUhWYVf+Af8kEkNzJiMsDt+UkWLSQDeoRxoh9jdcMMNFZMQZTf4BPLBDDPMEHkdbRZ+iFsmK+Cviy66aOyf8F/GVuQay2/F51Hi4GGSpeCxkqWYBBZYxWKbLObY0y9xDy8mHPiu3Zbr6HpwRatOaJsDnQVhmIGZmRAEYswRiutVtpgppcOhpLGXndlkBlqYAAJaPasTCBAwDuJPZ1y4sQ4GARMRpGihlNkzYDCBgw8+ONohXNRCTtHacssto9nNN99cMWkC2ySJD7uyGXvhqquuiu4QBi0od4QKGKAEFwRLFBiExddffz2aCShk5P1vf/tbxaTpLABhU19WEEFIQvjBrhGKFgTTtXGwakX6EeAEViAmmGCC6B5h0oJzgLQx7KyihTlmzJhZwZX6k+BqhRjH2IcGYAZu2rMFgzd2OaFaQr5tN6ymYnbqqadWTJrw9NNPNyvvtj8QrlW04Cv0GfiJVajAWWedFYUHwpFyLkVrsskmi2ExmVRrGwwgHRCKlRUuSJOUIAn6tFVmsDFD2EGYF+iLrNZht8kmm0S3QtkZrfPOOy8qhJS7BTPllDd5tMpRGXbeeecYPkqLBcIc/IE4sG+rokV/pd/CC9ObRBEEcQvvz4VlAS+Bb8BLGDMEVgG5XIJ0sqoq/BJF67rrrovhIXymoF2IfzEWUs/wKl2OgfCZtnHaGWMeY41AeeKeyT/w7rvvxvGMnRGOrg2UFOo+XYXnxl1NTHETs9AoRQsz2qpdRVYfpL2zo8byvSOPPDLaWdlIfB5C1rJgkg1zKzsw3rMyTJ+55pprKqZNYKICvkvf8Zs1uy5c0aoTjz76aOxArNww4DF4MjDSYZmhxI4VlXqAEMF1zPhBGGCwYhBikGHmzwoZZWD7DIzhjDPOqJiMBis/rHpgr60dUrQQQNJzHjAW7NiiVLbfX8gpWjAXBCjLvAS2SOK+lqIl5oUQmOKee+6JW5kUBswKt7nzAQhvMC3Kk5lq8kZZ4D63YkddYtcIRYu2kROWEIJQ/gRmbXEP807rAmgQsorW448/Hsv4xRdfrJiMBuWAe1e0xi3Uhqm3tA+j+GNnBU1BqwOscgIUFtoLW1dy7UOTEhrkc4qWlG/6U5oW3pmQwJ6LfYAULczY1lcvcA9ZoUjgUxjYaQIGBYiVVxTAHD+ApyK0kxfLS8oULWaB4QvpFj3AVul6FC3s4ZOEz6pTCngG6cW+rYqW+AnKc64uEDaxTyfMUrAqjrunnnqqYjIatAEmdOz53l+iaDEWsJKXmzyE7xEu9NJLL0VFj3GDyb+99947mlNmuvRCoH2ykiA+y5Zq2jljHvXNyiXKv5RI4mEiim1dLoR2LTCRw3j23//+t2IyGvAs2lB7KFpMdtgJHkAfpO8w4VUmG7G6K4jPoxCm7tU34D2CJs3KjiKwgwB7lDxH14QrWnWCWQnON+UGHg1ydJZ0hSUFAzNKDx0exYolZJiChC2ULp0NqAbOAeAeJSd3U5QUKylEej/nnHPiewrsEBDbomilgDlRDmz/gOHgvpaixYCNO9yzXYdVKJSgHBiwlYZc3rXlhW9vwFSZTWL7VRlgmI1QtDj3lsMGG2wQ7YX9998/vrM6kQMCGsKmVbRyoHy4tVLbLVzRGrfQAKwZegsUAuxQmFMwg4+dFC2twLLinWvfF154YVw105arnKJFe8esbOscEzXEIT9StCAUonpBGBD+U6AIYkd+AOlkAoT+UAaEDfzQB4V6bx2Et3ImjXOObN+tR9FCWSNstuLmAD/USk1bFS0mw3gv49USLBE8q4GJHNxdffXV2XA494G9JpTaqmihfOOPsSlVDAHtgxWrHH+G37JdFP+33nprxbQJCNWUGVsy4W2MdWy7R1hF2WQ81PjJ5RuEAS9nso52ma7+O7oWaLespLJlmbpvD0WLSdccsGNFPQfCySlaue9caueTTZdkw7KdSvQL7OuZ6HZ0Trii1SBwloHOUuujoSwV447tHwgFFhyilGJS62ZDKRu1SEvzUrRgZDlg11ZFi5lomCKH0nVOCmL2UsJBLUULsKWRrTraMw1xKJ3ZaSvksL1J9tWoZ8+eUShgdrWMiQLKshGKFnuuc0gVLRRJ3tMLCQRmglEOU0WL7WCnnHJKPI+n7WMIINqi5YrWuIUGYFarU0jRkjJlkSpabNfivRax/Q7kFC1Ww1g9KoMu5aEvASla9L/WQGnJrSqlipb6VXr5gYW2Flr+UqZoIaC/8MILcaVH5x0gFCN4Tz2KlpQcBLMyKP62Klpc7sB7LUq3Llqw9S7nJ0e6AKAtihZlSrtiIrBW2ZWBsYB4czP4lBfboFEM1WZY+YTnn3zyyfGdfoB/1Ql+dD7VbyHsOvjXv/4V65h2qiMG8DF4F8/toWixoycH7BhXcyCcnKJl0yekihYrsXqv9vkf7JkcSlfbHF0DrmjVCZSJap1A22TSWbwU3EyHu7LVDJ2XYvazGjiAjDtmt9lOVka6Kau9FC1mPLWPGSZ50EEHxTMhUlpY5cGuHkVLYABmVhW/zHKytccKTcz8ECZMNJdnEYoMM/r4raZowUTHpqKFQMW7PdNiAXNm245VtNhew3kb8sIFGMym6ZA6W7MIzxWtcYtGKVq60Y32l2vXIk3G5BQttsHUo2gxewzGhqKFYMU7Z6LKIAFJt4CBMkULXoY5KyMcbKcfaJWFcOpRtOCfhMFkThk4P4WbtipaRxxxRHynPHL1KOKMUhkYewgDYkIu518kXtsWRYszMkxMde/evWIyJsgz6cmtdgFWu4iXsaAW4KG0XXtWh7rjPIuFlC+2kTs6P2in9E/aGpf80Hclq3DOkLruCooW8ofeyxQt+hH2nHO1t646ug5c0aoTbKPgMoUyZUtnMOx1ojmwmlFNAGAgIZxaipZmYsuuEkUIRxjXqll7KVrEwzsKUU7YaouiZYEQqRsDNXAzI857TmgFKLHknb3+MK6pp546zhaVgVW3ehUtBBHsoLYqWpxN4L3spiEURIRHKVowYn1LiPaRCjiuaHUMNErRevjhh+M7511yYBsz/ZjttiCnaLF9i216EvZTsKJAHNz4B8aGokW6EazK+gkgPfjRJAIoU7To14Rn3Qr1KlqPPPJIDLssTfR3raDXq2gpDyp7nSkt2+2AcAa/Ymt6NeisqeU7FrfffnsMR1s/26Joib+zNb0MrDyxTbGsbMknYaBgVgPlQ9lyw5wEaEC7Z0XfgtV8wnRFq/ODPqXtdHaLsNAIRYuxG7txrWgB+ATv6aVEAqvy2NO/0zNfjq4BV7TqhM5E5b7pxHYGBB3sa12RroOROWEMJUcCdXo7TQqECwQpznalYPDX1akSQtpL0dJWyNyKEQoDwhv2tRQttvkhKOZWeVCcCEO3KHLVKoeoczOmOnDPjCiH2zkvpgs57rjjjoqr0eBWN+ysoqU90znGy0F07KC2Klqc0+GdLRK5M39i5FK0YL482zAElC6tkLmiNW7RKEWLraPwE5QIe7ucwBkk3ItH5BQtXZxA20iVAVbnadv0IV3AMDYULSY92DIN38p9t49+h+DNpQj2nFhO0bKfyUgvXSB/8L96FC36n7bh5uqGOAkHexuWvv+F0GiBACjFTIoWChTvyy677Bju4U+cD8O+TBATVJ65MYg2wG1/XPUutEXRQuDETzWFRpfvkO50vGAGX9vHuUCqDNQRk460wfRc8wEHHBDzYvGf//wnhpkTbh2dC/QRyQUp4BHc0JnWdapo0e54h9IxFN4A78SuIyhanKnknduZU9D/9RmP3MVmjq4BV7TqBIMlqzZ0CLa1wCzo9Cx3I2AzYLAtUIAR0CH32WefFlfu/uMf/2g+gwQTIBwEBQQdLXczm4d5NTBQsYUM96ym4Z/0oNAgcBMHh+mF9lK0OODJO8SAzrY3XRyCsKNvRaXn0VJo6yWCIW4Jh3JhuZ3b+dg+qNvQGMw1S8TKHsIoeeeXM0y4tecDWCFgD/hUU00Vty+hgMGcuSyDlSPIKlrYayBASMQtxOwbwpXOnbVV0QKqO7Y8cQ0+eaXudBAdsitaOmCOYohQq7Lh4gW1S/LuM2LjDo1StAAH/2nHDMLM5qvNoujTXplIEI/IKVq4ZVsgYdAu1Edos/Qn4uP8oy7LGBuKFuC2MRQXlBG2D8EryBt8BGEHPpp+4FvncxD+afdSHGn3hEU/Jr/wDCa6EODJCwodcdTqE6STeNmS/PLLLzeX9bPPPtt8jTlkFS0mfTBj6yF5xw/1xKy0FDe7mkgdUxesxiOMURf4o2xwWyYAWnBOizJCiMQfdUp5EB7jjNIjtFbRgv/gHspNeAnUmRQyto0z0Ug6mFjj8xyYcxkLY1QZ6Cvw5NwOEF1QwlkuQP0xccCYZj8a7eicgOdoYpobVOlrtB/6Lkq2+pyVVVJFC+hmVS6XkhyF7MD35PTtvY6gaKE8shsKM/qp+gtuyS/m9d5Y7eiccEWrFWCGDmbPoAwzgFnoECfCC7MTAoOMPiTJRzgFhGa27eCPgZdwGJhRSPRetjUkBXFo9gf/pAf/hIMyYJW19lK0GAQ1I0ueSAMCEEIO15rrIDjpKrv8AcB8tTVG4VAumpnq3r17i/3LzHhTvuQVwRP3/OIWpiWlSUAhwQ7BTGnEL/vDEX6sogW06kR941Z5gonzcU7sfomixeCiSywQCsmr6g4BmWcpWkCremojKhvaItuFsCN9KJ6OcYNGKlrwEm1/sW1W7RGhXsgpWoCzMhL61UfUn1Aq7KrR2FK04H/aGkTbJS+ki3xhxrXzlo8ClE7sSDv5Ybsf4MY6zGn3CgfewWQI/Ak78l1rOzd8VFesE5bKmmfSRZ/DzipaKHCYQfRHxQ1P0u4Hq2gRBzwMc/KBe/xRBpQ75V8P4KGc38QfebM8kjHI8u/WKloIqbiH0u3JKRASiZuyYezhWZNqtK2U/1ow2UXZMsmUA2MKE0uUC0o3KwHkl0mmWulydA6wu4S2In5G+6G+2Q7MKjt2vOvTEDlFC57DyqcdE+mDnE/V9tWOoGgBJkUY721/Ub8l7nplPkfnhCtarQQdidUXOj4KBrdkpWcHAAMesxUMEnRMCwYLZm/YAoQwhRv2pSOQIDS1Bigo7M1HQCEcwkOZskIU4NtN2JddwoEdW/FSIScFs8q4td984dwajI0VPewQNFAm2SYDA0GIwbyWMMEAixDF3n7cQ1zzyzaj3OwoM6soGZQdbvkeBfHmlEXyhcDBjW645cA65UY5MTudKlrUEWXFTKrCZqaVvHJ+DjOryPKe1rOAcop9CtUds1zYowwjFCKgcWFAujWS7TPEQbvjGmy2ELFNAvBJAMKwH6N2jF3QPqgDVlhSyM4qSAIKQ5kdqyr0AewhVizSQblM0QKstLDFkPaLf9oUfZUZVQvCoJ9WO5uTg9LFalIKVpKxYxU/BUog/YJLfVjFRhFlVSvHf1jB4uPEikvfBqSfM/lFnjBnUodtbVpVV561MlILlDUrNIqHrTzwDHYYIBCl2xDJg/gJ/RV+TnnThzHj2YJ88DkGyhh7+jB8OXVXC/R5di0QJ+GQf8ohLTulrd5VIC7jwH3uW2850GZoW+L7+KPOc7xagN/Cr+F51ZQxwqZfMM7CqxG4a00COjoXkJvYeULboe/SpvUBdfVDnUFH5uI93XpLm+XMIHYQfZBxmZVp3u0ZMOIo+5YVdnyOJgfCsXaM2ZiJD1mwKqy0pIAv0Y45c449fQCFM8c7HV0Lrmg5ujSk1CIUlYEtVH61qqOzopqi5fjlYMtxTtFyOBwOh6MWXNFydHlwUQeCEitCKTgzgh3btxyOzggpWpzncjQermg5HA6Ho61wRcvR5cHWQwQltgCxrZJ93mxbYTsSe6U586Dv7zgcnQnc1McWUs6w8MFwR+PhipbD4XA42gpXtBzjBVCw9KFjS1z9rsP1Dkdng67SZhJBHzB2NBauaDkcDoejrXBFyzHegMPifFeMCzS4eOSNN96o2DgcnRNcTkNb1jXtjsbj1ltvjTyDm0IdDofD4WgNXNFyOBwOh8PhcDgcjgbDFS2Hw+FwOBwOh8PhaDBc0XI4HA6Hw+FwOByOBsMVLYfD4XA4HA6Hw+FoMFzRcjgcDofD4XA4HI4GwxWtLoavv/46rLbaapE6Gq666qqYrrfffrti0hj885//jOFeeeWVFZPq+Oyzz6L79ddfv2LSOnB74XbbbRe23Xbbikn74OWXX47pPPLIIysmDkdLXHrppbGNfPDBBxWT1uHdd9+N/g844ICKSceD+MZjjz1WMRn7IP6DDz648tZ6HHLIITGM3EfTHQ6Hw9F14YpWF8Mnn3zS/I2ojobjjjsupusf//hHxaQx4DtYhHvUUUdVTKrjww8/DDPOOGOYa665Kiatw8iRI8Nss80WZp111opJ++Dpp5+O6dxhhx0qJg5HSxx++OGx7bf1G1r/+te/ov/llluuYtLxIL7Bt/DGFYh/lVVWqby1HihZhPHMM89UTBwOh8MxPsAVrS4GV7Rq4+effw7Dhg2L1BaMLUWLlTPSOGLEiIqJw9ESrmiNHRC/K1oOh8PhaC1c0aqBn376KTzxxBPhvvvuq5iEKNTwzopDTgju379/tH/99dfjOwIzz6+++mp8xw7KfWT0iy++iHbvvfdexaQlUKSwR7kYMGBAxXQ0UkULQR3FBj/1CGPvv/9+ePTRR6P7F198sU3KCIrMRx99FMNguw/5B7UUrY8//jg88MAD4fHHH2/Vx0FTRYtyffLJJ8ODDz6YLUfKjbRhn6JPnz6xXrF/6aWXwqBBgyo2TcDu7rvvDtNMM02YaqqpojuIOk/Bx5Hvv//+8NRTT4XvvvuuYtoSxEH6BfJNuoYPHx6++eab5nTkQPiKH4HZ0XVBn2Illrqmf8CXQC1FCz/0KXhY3759K6aj0RpF67XXXovxC/369Yu8YtSoURWTJrB9+eGHHw4PPfRQfK4GttIRJmmE91nQd7HbYostYhr/9re/xff//ve/FRejQb+F12D/zjvvVExbj4EDB8byJRx4qUD8ZYoW/EQ843//+1/FtCXaomhRruSFcMt4ItugsS/bkki9w19UR9QH7ikvwKQRafr000/ju8BYhTsIPlQN8CqNic8//3wYMmRIxcbhcDgcrmjVAIrUHHPMEQdJBN7pp58+Posmm2yycMUVV1RcN+GNN96Idvvvv38cABdffPH4vs0220R7+WWQTHHPPfdEuxNPPLFi0gTONW288cbh17/+dbN/COXFKmxW0ULIZ+uZdT/PPPOE5557ruJ6NDjntNZaa4Vf/epXLdz/6U9/ChdccEHFVW2Q9xVXXLFFGFNOOWW46aabShUthIkNNtighR/iPfbYY8dQdHKwitZdd90V60ThkJ/tt9++hVKKAIfdBBNMUDEJUTg45phjwoQTTtjsV25OOeWUZkFl4YUXbmEvkqCDQHzvvfeGhRZaqIX9H/7wh7DbbruNIbSQbxQ2/HGO4/e//334y1/+Er799tsorOJ33XXXrbhuUtrvuOOOMO+887YIH5p66ql9xrwLAiF2+eWXb1HXtJnbbrutVNGCX9BurB/a8t///vcW/KI1ipYUHtrg6aefHsPjXZMMX375ZWzjv/vd75rjhPbYY4/w/fffRzcCShhbd607aI011mjmi6eeeuoY9hB8RKCf7LjjjrHfWDeLLLJIVLzoV/UAPg//oJ8qDPLx17/+NSpfvKeKFpNQJ510Uph00kmb/UAoVW+99VbFVRNaq2iheC6wwAItwiWPnBOTkgRuvPHGaLfnnntWTFqiW7ducVKIPIA777wzumciiufJJ588vl9yySVReWfMmHvuuZvjFNGWcpNFjH3wHesW3t2zZ8/mOB0Oh2N8hitaNWAVLQTgiSaaKG5hefbZZ+MlBQwq2J188skVH6MVLQbpmWeeOUw88cShR48ecfAEGpDqVbQQUv785z/HgZZD6wzWV199dVRgcMvFDIJVtBhgF1tssShwMLNJGn7zm99EO2YeBZQI3GK3zz77RMWF/B199NHNgkduFjmF0olyg2DBDCerOeuss0747W9/G+abb74YllW0EFaIm7wddthhzXmTQotgUUtYkqK1wgorxPogD6SfepIwiNAm5BSts846K5rNMsss0R+reeeee26z0nbLLbdEdwi0lB3pm3baaaM7SEIF+SWvCGk77bRTVGpRMuecc84YDm3Jrn6haFGPlDV+UNAQYlH8cooWlxdQVn/84x/DCSecEONGaNp8882bleSy1TNH5wN1qT615pprRkGYvoxCQjuTUGwVLfoUihjt5Igjjoh9AYF4uummi27hW+pTbVG0br755sgrmLQhLHgkKyMo/0wEcaaQlS4EeZQp0r7qqqs2x4kSSDiEwWQUbZhVXCakcEu4hPf5559Hu1122SW6Z+KFd1bLAWUDb8WOCRDShf1mm20W+xLhU1a1gIIBbyQcyo2JJcI57bTTIo+gbLCzihZ+dt9992i+zDLLxMkP+MLaa68d6wXeYPt5axQtLsGh7iDiwA88RDyRelBZtlXRIm/UFUrSfvvtF1fHIewou0MPPTSWAav3Sy21VDSHT2kHB/HDmzFncgrFivyff/75cZzEnMuCtPLqcDgc4ytc0aoBq2gh1KSzdAg4DDSTTDJJGDp0aDSTosVAufrqq48xm4sdVK+ihaKCsMWqk1U6EMYZ5FGG2CIErKK17777Ng+MgEGPG7wYYFF6BJQI3LOiYsPnWTPm1157bcW0HFtttVV0ywCcbifidjSlS4oWwtSCCy4YzRAGLRBSENwY9Bnwq0GKFsoHYds8sB2J+kEwFXKKloSDdJseQg/mKGBC2RktZtel2KFkWlBXCGrYoVAKKFrUB4RiZcstp2gh2GJGO7EgTaxIYpeubjg6L6QAoDBpC65w4YUXRjtb5/R3hGvM0pVjtg7OPvvssU/RrkFbFC140Q033NCCt+y8887RDoXDCte0ZyYBUHrUZlkFwi1Klu2rhAevox9bJaXsjBaTE5ijjKTb1VC6sJtiiimyW6wtWH1COaJs0kkKttRpldsqWuQfM3gsW+csVC+kS6hX0WJ8kUKMsmrBVk1WoOAVqtu2KlqMTWzFtKubZ599drRj1dMCxZ28E6+2RjLOUE+End4iy6o9ShnuqQeHw+EYn+GKVg1YRavsemHN7PXu3Tu+S9GCcnvnZVePooXyhhJghW0LBmPcM4sLrKLFcwqEAlbZsJdyw9XQzEbmzlNo+049ihazuDPMMEPlbUwsvfTSMSwJCcxMM1hvvfXW8T0FWwpxX+sadSla6623XsVkNKg/FCIUIyGnaCFkYXbOOee0ECARFCkbSChTtNi2SBgonDkgPDIDj8IuaMskgmqKnKJFeyItuS2VEoRd0eo6YMWB/lqGJZZYokWdIwijNLCdLgetJrHFD7RF0cJtqvQxEcGKVA7wOfzRx+hPrBjxziRRei6LCSPat51wyCla9FG27ME/0vNFgPQRPv5uvfXWimkerIDjjpX0HJicwt4qWmzjpi+j/KRAMdGWbW0VrlfR4mwUSumWW25ZMWmJa665JoYlBaatihb1pYlBgVVP7FiVS8cCjRHiO6oTdgLkwJky7FdaaaWKicPhcIyfcEWrBqRoMaiWgdULBhUGQCBFCyEpB+ygehQtDlnzjnCOQJDSrrvuGu2ZuUW4kKLFNpMyMDuOG7aoWTC7yYUUDPYIHczIMvOJ21qKFgoc7lZeeeWKyZggT7iRosUv7whoubxBzL6zJbAa7BmtFPUqWmyR0TZJBFvKiG1HlKdVvECZonX88cdH/+lqlkD9zD///NGNwpSixSUkKXKKloCAhx9W+y6//PLm1SzIFa2uAfUp6rYMtHlb5xJw2e6V608Qihgr7aAtipa20QpK50wzzZSND0IhYts1kw0I8VJE2OpLuAj5rCzZlSwhp2hJYUTZSpU+AaUEN7W+Q7foootGd9X6DcqPVbTo+/APzp/l8os9YXKBCKhX0aIv444tePWgrYoWOxVSMB4xWYY9q3icKUbJpKzTVUEp+FoZzYFt13ZSyeFwOMZHuKJVA1K0GLDKwODJoJMqWsyo5oAdVI+ixTkhua9GbF1ktlGKFmciyqAwraLFwI4ghECksz6cV9h0003jcy1Fi22NuJMAl4O220jR0gxqLeLcUjU0QtFiCxNKJum3cVMe+LWrg2WKFmdT8MOZqRzYUsUhfdxIqJOilUNO0UKo5cwKgpCUYAjBR8KcK1pdAyjR1GdupVa47LLLWtS53U5YjbT61BZFK91ey7sNu4zob1999VX0g+DPFkLMZI8CSLvu1atXiy2FOUWL866YIcyXgXNfuOGsZDWwxQ136QUWFiggVtESj6xF8CZQr6J14IEHRncoXPWgrYoWY0AOuhRIZ48h6oVytpciqcyq8RqUacYQh8PhGJ/hilYNSNFCACgDqyEMOu2haEmJQ8jh/EAZcQ4M4USKFoNrGQ466KDoRooWe/KZsWUWnNUYtoloSwwKFm5rKVqshuGu2oqWzmZI0XrhhRfiO2cFcnkS1brqvRGKlgXxIUCwqicBiZlzFDFQpmhxWB+3uvQkBYqWbiPUmZLWKlpsWULI4wIUVjupb52zUL26otU1wMQJ9clWrjIgFNs614oWKxa5viRSn2qEokUfwxxFJBeXpXT1iW129Ef6DGdE6ZMI9qxGCTlFSzy22opWtdUbC50TLbsiHbCynq5ooXzR/3L5FFE2oF5F67zzzovuxpWiJVAvbEPl8hUuy9AEnFYzNWH0yiuvxPcciLfaBKXD4XCMD3BFqwakaDGoINjmoAsKdLNdLUVL1wHnFC1t65OiBRA+uHEsB26hYz//GWecEd+laJWFj5KgG/AQ5Hnnli/ec2cddJ6injNanM9i+5CEixQIKoQlRQvFhQGcVbMc2EZE3moJBb9U0cIN22OkSFlg17179+ieg/6gTNHium3cseKUA4Izh9k5qyK0RtHiFjbeodzZEG0jdUWr6wBhnnZW1qfYVmvrHH6AolJ2TpB2Q5+6+OKL43sjFC1Af0D4zoGJAOLca6+9olLEuSzOX+ZupNPWOXtZT07RQhHg7CorL+k5L0DYWp2+/vrrK6Z5aBWp7IyW+rVVtOBZ7AAo+8YUl2SQZym09SpajDEoNPTlHPBPuGzpA3xKgnBzihZ1TRnVq2jBX7hdNtfWNOEmXs2FPryXffpDq7F8lsDhcDjGZ7iiVQMMOlK0WI1IByEOFHOmB6FdqxS1FC0JANpWIqDoYA5ZRQthim1iKAN2Sw1AqGdgZuYRWEULAcUKM/jlzACCGNs6AFvREORwn+aN/HA9M3b1KFrcLobbvffeewwhSlt9IClaxKcbtmQmkFZtxbOz2zn8UkWL7/9oK1B6yQT54Jp+7FRfZYoW4VC2uGW1zoLD/VKqKB+hNYqW2hWUzuKzCik7V7S6DtZff/1Yp6z6pn1Kq9+2zlFA2OaFWaoQ0ad0MyjXhYNGKVqstGLH6n7Ko5gEwo5bAoGua89t1WPbLXZ2C3JO0QKUCebpjYzEz8VF2HHuMjcpYaFbB+Hj6Q2xTPZoYswqWnx3CjPOaKV9UUqGPZ9Ur6LFKhjbwHELv7eAVzNJBq/StfU6q0ZcNh20FW51xK5eRYsLeQjbXvwj6Kww+QVcWsIqH+NIqmwSF3ESVr0rcw6Hw9FV4YpWDVhFi4GDmVbOGrHNhOtwpaQwgykBo5aiJQGayzJQIhCSzjzzzLgiJGHGKlocONZhcmYS+VYTigluMWfLn2AVLYQMth2xnYj0MnMrIQwhDZBmzYoTDucacMu2QvKt/CGg2ZvAckBRJHz273OdOooJZ7fY0qYrkiGrVDGzzUUjCBekDzvyx61pbGdEAESxqYZfqmgBbj7EjO/xoFRSBqSDmWXSwcww17cDBBq2G1G+CIa41fY9ttbgHuGMlU4uFmElTB+cZcXP3ujVGkWLvJBmzFBCEX5oOwictCXyiB3bjxxdA6yy0pZoU/RlFAgEeepcnySArHKN8A2vwB83ouKedsp2U/omN8GpTzVK0WL1nEkT+gR9l9tQcUefJp2s4qIoAJ2d4gpwtvVx+ynp4Jwoyg55tTe86vMT3JRIX2PlBRCnyoCyYTIHe1Z34CmEg2JRC/A1KYr0IZQoJqTgA+L9kFW0UGi1Qg//JB7qgDNyrELCl+EzQr2KFvyYcsAt9YeSCv/nRtMll1wyjkGk1SpVXLBDXqkfypLy5VwfPBW7ehUt3WCLe8YZ2g3lyU2s5Im4VS/ET33gnouXWCGlzK688srmMttwww1r8m6Hw+Ho6nBFqwasosUZI27341mEQINALSEC1FK0GHxY1dDqh4hrzBGseLaKFkCoRgmw7qGNNtqoWfAAVtFi0EN5s+4R9LmEwg7UCCyk1bpjBY1D5ChCUpLsR5nLgGKFIKfD0iKUBWZDeU5Xr1AE07whOLBNxeatDI1QtLhVC6WKbwTZdFBHnDtjxUhAGNJssQiBRHZsQdJ2TBHlyYof9WPR2jNarJTpw6Ui6of2ghBHuWHGliJH1wD9BWE+7VOsdtFHebaKFqDt6OyRiLaMMK4LKUCjFC3AylCu79N/0vTRR+BF1h2EooVgb1fvmMBBcZIbVrgE7DbZZJMxeCn9jyvQ01XAMrAzAaVUExki0qNbZa2iBVjtYhVIt5WKWHViu6Em3kC9ipaAIqSbGUXEw02AfA/NAuUqdcs49dBDD8XvktWraDEmoDCRZxsWBA9lAictT8YElDDrlu2c8MdaZ2sdDodjfIArWjVgFS2BrRXMdrIqlH6LBDDAYF92KYKAwIM7SOejmCnlHWUtBQM3e+ixR4jIncFCYVCYAKWOgZh3Vmiq4fXXX4/bc8iXXXVBSMI/qzP1AmUGP2xRUt40S8z2mBwQ+lgtJG/yUw9wS7ipMAcQDFhRsjPbCCq45yB5CrYZMbOLPcKSFUpTcBAcd1CfPn0qpqPBTDTnQ9hOVRYOW4DwnwNKJnYooilQvLFjhllbVskrs9mY840yR9cC56+oW9v31QZT4Vugz6lP5SYtWKXFP4pZLYiP5L63Z0E6iY94maipBiYoCBO+wyRNGeAZhIlb8pSC7Wu33357tIePtBUoJPALwnnuuecqpk1nlLR1OAVxM7GBm3QSScAv9tX4SQp4N2nAH+FrRT0H3LJqiVvLL+APfEdMK0u0G9xUu2ERWN6WK28LxiyNiSh3UuocDofD4YpWTeQULYfD4XA4HA6Hw+GoBtceasAVLYfD4XA4HA6Hw9FauPZQA65oORwOh8PhcDgcjtbCtYcaQNHi5iYuSXA4HA6Hw+FwOByOeuCKVg1wAQWHkFtziNnhcDgcDofD4XCM33BFy+FwOBwOh8PhcDgaDFe0HA6Hw+FwOBwOh6PBcEXL4XA4HA6Hw+FwOBoMV7QcDofD4XA4HA6Ho8FwRcvhcDgcDofD4XA4GgxXtBwOh8PhcDgcDoejwXBFy+FwOBwOh8PhcDgaDFe0HA6Hw+FwOBwOh6PBcEXL4XA4HA6Hw+FwOBoMV7QcDofD4XA4HA6Ho8FwRcvhcDgcDofD4XA4GgxXtBwOh8PhcDgcDoejwXBFy+FwOBwOh8PhcDgaDFe0HA6Hw+FwOBwOh6PBcEXL4XA4HA6Hw+FwOBoMV7QcDofD4XA4HA6Ho8FwRcvhcDgcDofD4XA4GgxXtBwOh8PhcDgcDoejwXBFy+FwOBwOh8PhcDgaDFe0HA6Hw+FwOBwOh6PBcEXL4XA4HA6Hw+FwOBqKEP4f1r3dd0rvzdwAAAAASUVORK5CYII=
Es un algoritmo de [[Clustering]] basado en densidad.
''Idea'': encontrar regiones de alta densidad de puntos separado por regiones de baja
densidad.
''Parámetros'':
* [[Datos]] con [[Atributos]] numéricos
* $$\epsilon$$: radio especificado
* $$n$$: número mínimo de puntos en una región
Se distinguen 3 tipos de puntos:
* Punto core: Punto con más de $$n$$ puntos a distancia $$\epsilon$$
* Punto border: No es core, pero está en la vecindad de uno
* Punto noise: No es ni core ni border
{{dbscan_points.png}}
Con esto, se tiene el siguiente algoritmo:
```
def dbscan(D, eps, n)
core, border, noise = label(D, eps, n)
D = D.setminus(noise)
E = []
for x, y in product(core):
if x!= y and d(x, y) < eps:
E.append((x, y))
for x in border:
E.append((x, core_asociado(x)))
clusters = componentes_conexas(D, E)
```
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
!!__Hipótesis__
Sea $$X_n:\Omega\to E, X:\Omega\to E$$ [[Variable aleatoria]] tal que:
\[
\forall\epsilon >0: \, \lim_{n\to\infty} \P(|X_n - X| > \epsilon) = 0
\]
Es decir, converge en probabilidad
!!__Conclusión__
$$X_n$$ es [[Convergente en ley]]
!!__Nota__
Basta que $$X_n$$ converga $$L^p$$ o que converja c.s. a $$X$$ para que converja en probabilidad. Así, la noción de convergencia en ley es la más débil.
!!Hipótesis
Sean $$X, Y$$ evn normados, con un funcional $$L\in \Lel\Cel(X, Y)$$.
!!Conclusión
$$L$$ es $$\sigma(X, X^*)-\sigma(Y, Y^*)$$ contínua.
!!Demostración
Usando la [[Continuidad en la topología inicial]], basta probar que para todo funcional $$l\in Y^*$$, $$l\circ L$$ tiene la continuidad deseada.
Para esto, notar que $$l\circ L\in X^*$$, por ambas ser lineales continuas en la topología fuerte. Así, por definición de la [[Topología débil]], es contínuo con respecto a esta.
Se dice que $$P(t)$$ es débilmente acotada si para cada $$T\geq 0$$ se tiene que:
\[
\sup_{i, j\in I}\, \sup_{t\leq T}\, p_{ij}(t)<\infty
\]
Sea $$(x_n)$$ sucesión en $$E$$. Se dice que converge débil si es a $$x$$, anotado $$x_n\rightharpoonup x$$, si es que converge a $$x$$ en la topología débil, es decir:
\[
\forall f\in X^*:\, \langle f, x_n\rangle \to \langle f, x\rangle
\]
Estos son los conceptos con una definición en el notebook:
{{{[tag[Definición]]}}}
Es una visualización del cluster jerárquico como el árbol dado por la relación de subconjunto.
{{dendograma.png}}
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
Sea $$X$$ una variable absolutamente continua con respecto a $$\P$$. Su densidad $$f_X$$ es su derivada de Radon-Nikodym, es decir, una función tal que:
\[
\E(X) = \int f_X \, d\mu
\]
Este algoritmo es una heurística veloz para un [[Programa lineal]] entero que tenga la forma específica:
\[
\begin{aligned}
&\max\, c^\top x\\
&\text{s.a. }Dx\leq d\\
&x^j \in X^j\, \forall j\in[k]
\end{aligned}
\]
Es decir, uno que se separa el bloques $$X^j$$, pero que cada uno de estos bloques están enlazados por la primera restricción, que se llama la restricción de enlace.
Para la heurísitica, resolveremos la relajación:
\[
\begin{aligned}
&\max\, \sum_{j=1}^k c_j^\top x^j\\
&\text{s.a. }\sum_{j=1}^k D^jx^j\leq d\\
&x^j \in \text{conv}(X^j)\, \forall j\in[k]
\end{aligned}
\]
Notar que esta puede ser mucho mejor que la relajación trivial, pues que solamente considera las restricciones lineales y puede ser demasiado relajado.
Más aún, si no hubieran restricciones de enlace, el problema es fácil, pues bastaría resolver $$j$$ subproblemas más pequeños (lo cual se puede en paralelo) y luego juntar todas estas soluciones en una.
El problema es que las restricciones de enlace no permitirán que esto sea tan directo, pues la solución concatenada puede ser infactible.
Para esto, se usa primero [[Teorema de Minkowski Weyl puntiagudo]], notando que:
\[
\text{conv}(X^j) =\text{conv}(P^j) +\text{cono}(R^j)
\]
Para simplificar, se asume que el lado izquierdo es [[Polítopo]], por lo cual se ignora el cono. En particular, esto permite escribir $$x^j$$ como combinación convexa en $$P^j$$, lo cual nos permite cambiar de las variables $$x^j$$ a los coeficientes $$(\lambda_p)_{p\in P^J}$$.
Esto nos permite escribir una nueva formulación con muchas variables, que llamaremos (D-W), y está dado por:
\[
\begin{aligned}
&\max\, \sum_{j=1}^k \sum_{p\in P^j}\lambda_p c_j^\top p\\
&\text{s.a. }\sum_{j=1}^k \sum_{p\in P^j}\lambda_pD^j p\leq d\\
&\sum_{p\in P^j}\lambda_p=1 \,: \forall j\in [k]\\
&\lambda_p\geq 0\,: \forall p\in P^j, j\in [k]\\
\end{aligned}
\]
Como son muchas variables, la idea es usar [[Generación de columnas]], reduciendo $$P_j$$ a un conjunto más pequeño $$P_0^j$$. Notar ahora que el dual estará dado por:
\[
\begin{aligned}
&\min\, y^\top d + \sum_{j=1}^k z_J\\
&\text{s.a. }(D_jp)^\top y \geq (c^j)^\top p\\
&z_j=1 \,: \forall j\in [k]\\
&z\geq 0
\end{aligned}
\]
Sea $$\lambda$$ óptimo del [[Master Problem]] $$P_0$$. Es imoortante que este no es óptimo del problema original.
Se considera entonces los [[Pricing problem]]:
\[
\eta_j = \max_{p\in P_j}\, c^j - (D^j p)^\top y - z_j
\]
Si todos son no positivos, estamos listos. De no ser así, todas las $$j$$ que no lo cumplan se agregan a $$P_0$$, lo cual se puede iterar hasta obtener $$P^j$$ y poder resolver la forma D-W.
Esto es equivalente a una solución de la relajación del problema.
!!__Hipótesis__
Sea $$H$$ [[Espacio de Hilbert]], [[Espacio separable]] y $$T:H\to H$$ [[Operador compacto]] y [[Operador autoadjunto]].
!!__Conclusión__
Existe $$(\phi_n)$$ una [[Base ortonormal]] de $$H$$ formada por [[Vector propio]]s de $$T$$, es decir, que existe $$(\lambda_n)\subseteq \R$$ tal que:
\[
T(\phi_n) = \lambda_n\phi_n
\]
En particular, el operador se puede escribir de forma diagonal:
\[
T(x) = T\left(\sum_{n\in\N}\langle x, \phi_n\rangle \phi_n\right) = \sum_{n\in\N}\langle x, \phi_n\rangleT(\phi_n) = \sum_{n\in\N}\langle x, \phi_n\rangle\lambda_n\phi_n
\]
''Proposición''
\[
p_{ij}^{(n)} = 1_{n=0, i=j} + \sum_{k=1}^n \P_i(\tau_j = k)p_{jj}^{(n-k)}1_{n>0}
\]
''Demostración''
Se realiza por inducción, con el caso base trivial.
\[
\begin{aligned}
p_{ij}^{(n)} &= \P_i(X_n=j)\\
&= \P_i(X_n=j, \tau_j\leq n)\\
&= \sum_{k=1}^n\P_i(X_n=j, \tau_j=k)\\
&= \sum_{k=1}^n\E_i[1_{X_n=j}1_{ \tau_j=k}]\\
&= \sum_{k=1}^n\E_i[\E[1_{X_n=j}1_{\tau_j=k}|\Fel_{\tau_j}]]\\
&= \sum_{k=1}^n\E_i[\E[1_{X_n=j}|\Fel_{\tau_j}]1_{\tau_j=k}]\\
&= \sum_{k=1}^n\E_i[\E[1_{X_{\tau_j+n-k}=j}|\Fel_{\tau_j}]1_{\tau_j=k}]\\
&= \sum_{k=1}^n\E_i[\E_{X_{\tau_j}}[1_{X_{n-k}=j}]1_{\tau_j=k}]\\
&= \sum_{k=1}^n\E_i[\E_{j}[1_{X_{n-k}=j}]1_{\tau_j=k}]\\
&= \sum_{k=1}^n\E_i[p_{jj}^{(n-k)}1_{\tau_j=k}]\\
&= \sum_{k=1}^np_{jj}^{(n-k)}\E_i[1_{\tau_j=k}]\\
&= \sum_{k=1}^np_{jj}^{(n-k)}\P_i(\tau_j=k)\\
\end{aligned}
\]
Que es lo que se quería demostrar.
Cuando se pasó a $$X$$ indexado por un tiempo de parada se usó el [[Propiedad de Markov fuerte]]
''Hipótesis''
Sea $$f$$ la [[Solución analítica de LSLR]].
''Teorema''
\[
\text{Sesgo}(f)=0
\]
\[
\text{Varianza}(f)=\sigma^2\tilde{x}_*^\top(\tilde{X}^\top\tilde{X})^{-1}\tilde{x}_*
\]
''Demostración''
[[Ejercicio Pendiente]]
''Hipótesis''
Sea $$f$$ la solución a un [[Problema de regresión]] con [[Ridge regression]].
''Teorema''
\[
\text{Sesgo}(f)=\tilde{x}_*^\top((\mathbb{I}+\rho(\tilde{X}^\top\tilde{X})^{-1})^{-1}-\mathbb{I})\theta
\]
\[
\text{Varianza}(f)=\sigma^2\tilde{x}_*^\top(\tilde{X}^\top\tilde{X} + \rho\mathbb{I})^{-1}\tilde{X}^\top\tilde{X}(\tilde{X}^\top\tilde{X} + \rho\mathbb{I})^{-1}\tilde{x}_*
\]
''Demostración''
[[Ejercicio Pendiente]]
Sea $$S\subseteq \R^n$$. Decimos que la desigualdad $$q^\top x \leq r$$ es válida en $$S$$ si se cumple $$q^\top x = r$$ para todo $$x\in S$$.
''Hipótesis''
Sea $$(X, \cdot)$$ un [[Espacio de Hilbert]], $$u, v\in X$$
''Conclusión''
\[
|uv| \leq |u||v|
\]
''Demostración''
Análoga a $$\R^n$$, [[Ejercicio Pendiente]] completar esto.
Sea $$S\subseteq \R^n$$. Decimos que la desigualdad $$q^\top x \leq r$$ es válida en $$S$$ si se cumple para todo $$x\in S$$.
Sea $$A\in\R^{n\times n}$$ una matriz. Se define:
\[
\text{det}(A) = \begin{cases}
a_{11} &\text{ si } n=1\\
\sum_{j=1}^n (-1)^{i+j} a_{ij}\text{det}(M_{ij}(A)) &\sim
\end{cases}
\]
Donde $$M_{ij}$$ es la submatriz de $$A$$ obtenida al eliminar la fila $$i$$ y
la columna $$j$$.
El caso $$n=2$$ es común, y está dado por:
\[
\text{det}(A) = a_{11}a_{22} - a_{12}a_{21}
\]
''Formato fechas: YY/MM/DD''
{{{[tag[Diario]]}}}
Dependiendo del contexto, se refiere a:
* [[Dicotomía recurrencia-transiencia discreta]]
* [[Dicotomía recurrencia-transiencia continua]]
!!__Hipótesis__
Sea $$X$$ [[Cadena de Markov a tiempo continuo]] con un estado $$i\in I$$
!!__Conclusión__
!!!''1) $$i$$ [[Estado transiente]] o $$q_i>0$$''
En este caso que tiene que:
\[
\P_i(\{t\geq 0: X_t=i\}\text{ no es acotado}) = 1
\]
Y además:
\[
\int_{0}^\infty p_{ij}(t)dt = \infty
\]
!!!''2) $$i$$ [[Estado recurrente]] y $$q_i=0$$''
En este caso que tiene que:
\[
\P_i(\{t\geq 0: X_t=i\}\text{ no es acotado}) = 0
\]
Y además:
\[
\int_{0}^\infty p_{ij}(t)dt < \infty
\]
Sea $$i\in I$$. Las siguientes son equivalentes:
# $$i$$ es [[Estado recurrente]]
# $$\P_i(N_i=\infty) = 1$$
# $$\E_i(N_i) = \infty$$
Esto es además lo mismo que decir que los siguientes también los equivalentes.
# $$i$$ es [[Estado transiente]]
# $$\P_i(N_i=\infty) = 0$$
# $$\E_i(N_i) < \infty$$
Notar que una parte no obvia de esta equivalencia es que:
\[
\P_i(N_i=\infty) = 1 \iff \P_i(N_i=\infty) \neq 0
\]
''Demostración''
[[Pendiente]]
Es 1 menos que el [[Rango afín]].
Los discursos son acciones comunicativas complejas que emergen en distintos ámbitos de uso en el contexto específico en que nos comunicamos.
''Hipótesis''
Sea $$i$$ [[Estado transiente]], considerar:
\[
\theta_i := \P_i(\tau_i^{(k)}<\infty)
\]
''Conclusión''
\[N_i\sim \text{Geom}(1-\theta_i)\]
Al vector de probabilidad $$\mu$$ sobre $$I$$ dado por:
\[
\mu_i = \P(X_0=i)
\]
Se le llama distribución inicial de $$X$$
Es una [[Medida invariante discreta]] que también es distribución de probabilidad. En particular, se puede ver como una [[Distribución inicial]], cumpliendo:
\[
\P_\mu(X_t=i) = \mu_i
\]
Tendremos un modelo real $$p=p(y|\theta)$$, con un modelo aproximado $$q=p(y|\theta^*)$$, entonces se define la divergencia KL:
\[
KL(p(y|\theta), p(y|\theta^*)) := \int_y \log\left(\frac{p(y|\theta)}{p(y|\theta^*)}\right)p(y|\theta)\,dy
\]
Dado un punto $$p$$ en una [[Superficie integral]], su curva característica son $$(x(t), y(t), z(t))$$ son funciones dadas por las EDO:
\[
\begin{aligned}
\frac{dx}{dt} &= a(x(t), y(t), z(t))\\
\frac{dx}{dt} &= a(x(t), y(t), z(t))\\
\frac{dx}{dt} &= a(x(t), y(t), z(t))\\
\end{aligned}
\]
Dado un punto $$z$$ en una [[Superficie integral]], su curva característica son $$(x(t), y(t), z(t))$$ tales que:
\[
\begin{aligned}\begin{aligned}
\]
!!Hipótesis
Sea $$E^*$$ el [[Espacio dual]] de $$E$$, tal que $$E^*$$ es [[Espacio separable]]
!!Conclusión
$$E$$ es separable
!!Observación
Recíproco no es cierto. Un contraejemplo es $$L^1$$ que es separable, pero $$L^\infty$$ no lo es.
!!Demostración
Sean $$(f_n)$$ denso en $$E^*$$. En particular:
\[
\Vert f_n \Vert_{E^*} = \sup_{x\in B_E}\langle f_n, x\rangle
\]
Es decir, existe $$x_n\in \partial B_E$$ tal que:
\[
\langle f_n, x_n\rangle \geq \frac{1}{2}\Vert f_n\Vert_{E^*}
\]
Considerar $$V = \langle (x_n)\rangle_\R$$. Se demostrará que es denso, para lo cual se supondrá lo contrario, es decir, $$\overline{V}\neq E$$.
Por [[Hahn Banach en Subespacios]] existe $$f\in E^*, f\neq 0$$ tal que $$V\subseteq \ker\, f$$.
Luego:
\[
\begin{aligned}
\Vert f_n - f\Vert
&\geq \Vert f_n - f\Vert\Vert x\Vert\\
&\geq\langle f_n - f, x_n\rangle\\
&=\langle f_n, x_n\rangle - \langle f, x_n\rangle \\
&= \langle f_n, x_n\rangle \\
&\geq \frac{1}{2}\Vert f_n\Vert
\end{aligned}
\]
En particular, tomando $$(f_{n_k})\to f$$ (que existen por densidad), se tiene que:
\[
\begin{aligned}
\frac{1}{2}\Vert f_{n_k}\Vert &\leq \Vert f_{n_k} - f\Vert \to 0\\
\implies \Vert f_{n_k}\Vert & \to 0\\
\end{aligned}
\]
Pero por continuidad de la norma, $$ \Vert f_{n_k}\Vert\to \Vert f \Vert$$. Por unicidad del límite, se tiene que $$\Vert f\Vert = 0$$, lo cual contradice que $$f\neq 0$$.
[[Ejercicio Pendiente]] $$V_\mathbb{Q} = \langle (x_n)\rangle_\mathbb{Q}$$ es denso en $$V$$, por lo cual es denso en $$E^*$$ y numerable, concluyendo.
Corolario de [[Teorema de Hahn-Banach Analítico]]
!!Hipótesis
Sea $$X$$ un evn, $$x\in X$$
!!Conclusión
\[\Vert x\Vert = \max_{\Vert f\Vert \leq 1} |\langle f, x\rangle|\]
!!Demostración
Sea $$x\in E, f\in E^*. \Vert f \Vert \leq 1$$, se tiene que
\[|\langle f, x\rangle|\leq \Vertf\Vert\Vert x\Vert\leq \Vert x\Vert \implies \sup_{\Vert f\Vert \leq 1} |\langle f, x\rangle|\leq \Vert x\Vert\]
Más aún, consideramos la $$f_x$$ correspondiente a $$x$$ del corolario [[Funcional de soporte]], que va a cumplir:
\[
\begin{aligned}
\Vert f_x\Vert = \Vert x\Vert &\implies \Vert \frac{f_x}{\Vert x\Vert}\Vert = 1\\
&\implies g(x) := \frac{f_x}{\Vert x\Vert}\in B_{E^*}(0, 1)\\
|\langle f_x, x\rangle| &= \Vert x\Vert^2\\
& \Vert x\Vert = |\langle g, x\rangle| \leq \sup_{\Vert f\Vert \leq 1} |\langle f, x\rangle|\\
\end{aligned}
\]
Así, se concluye lo pedido, pues este supremo se alcanza en $$f=g$$
!!__Hipótesis__
Sea $$Q$$ una [[Q-matriz]].
!!__Conclusión__
La ecuación:
\[
\begin{aligned}
P'(t) &= QP(t)\\
P(0) &= I
\end{aligned}
\]
tiene una solución no negativa minimal (bajo el ordenamiento por componentes). Más aún, satisface la [[Propiedad de semigrupo]] y es minimal no negativa de la [[Ecuación forward]]
!!__Observación__
Cuando $$I$$ es finito, se tiene que la única solución está dada por $$P(t) = e^{tQ}$$, como ya se sabe de EDO. Esta observación nos lleva a la [[Caracterización de Q-matriz finita]]
''Ver'': [[Forma integral de la ecuación backward]]
Es la siguiente EDO:
\[
\begin{aligned}
P'(t) &= P(t)Q\\
P(0) &= I
\end{aligned}
\]
Son [[Ecuaciones de primer orden]] como tal:
\[
a(x, y, u)u_x + b(x, y, u)u_y = c(x, y, u)
\]
Donde $$a, b, c$$ son funciones suaves dadas, $$x, y$$ son variables independientes y $$u$$ es desconocida.
Esto es una fórmula para la [[Matriz de transición en n pasos]]
$$\forall i, j\in I, \forall m, n\geq 0: $$
\[
p_{ij}^{(m+n)} = \sum_{k\in I} p_{ik}^{(m)}
p_{kj}^{(n)}
\]
Equivalentemente, $$P^{m+n}=P^mP^n$$, lo cual se puede aumentar por inducción. En particular, $$P^{(n)}=P^n$$.
''Demostración''
\[
\begin{aligned}
p_{ij}^{(m+n)} = \P_i(X_{m+n}=j) &= \sum_k \P_i(X_m=k,X_{m+n}=j)\\
&= \sum_k \P_i(X_{m+n}=j|X_m=k)\\
&= \sum_k \P_i(X_{n}=j|X_0=k)\P_i(X_m=k)\\
&= \sum_k p_{ik}^{(m)} p_{kj}^{(n)}
\end{aligned}
\]
Que demuestra lo principal, donde es claro la igualdad equivalente. El caso particular, inductivamente:
\[
\begin{aligned}
P^{(n)}= P^{(\sum_{k=1}^n 1)} = \prod_{k=1}^nP^{(1)}= \prod_{k=1}^nP= P^n
\end{aligned}
\]
Sea $$u:\R^n\to \R^m$$ y $$f:\R^n\times\R^m\times \R^{nm}\to \R^m$$.
Una ecuación de primer orden es:
\[
f(x_1, \ldots, x_n, u(x_1, \ldots, x_n), u_{x_1}(x_1, \ldots, x_n), \ldots, u_{x_n}(x_1, \ldots, x_n)) = 0_{m}
\]
Donde la variable a resolver es la función $$u$$. En el caso $$n=2, m=1$$ se tiene que:
\[
f(x, y, u(x, y), u_x(x, y), u_y(x, y)) = 0
\]
Las fuentes del material presente son las cátedras del profesor Michal Kowalczyk
<<toc-selective-expandable 'Ecuaciones en Derivadas Parciales' sort[title]>>
Es el análisis exploratorio de datos. Engloba un conjunto de técnicas para comprender rápidamente la naturaleza de un conjunto de [[Datos]].
Princpialmente, utiliza [[Estadísticas de resumen]] y técnicas de visualización de datos.
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
iVBORw0KGgoAAAANSUhEUgAABA0AAAFVCAYAAACEmBbQAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAP+lSURBVHhe7J0FYB1V9sZfPHWLvGgFtzVgjRV2F3dfYBdYdtn/CruwuLaUuiZNmyapKwUKxR2Ku7t7od64PP/+55uXgcswT5Kmkvb8yuG9N3Pnzr3n3pnc78ydGQ8URVEURVEURVEURVFc0KCBoiiKoiiKoiiKoiiuaNBAURRFURRFURRFURRXNGigKIqiKIqiKIqiKIorGjRQFEVRFEVRFEVRFMUVDRooiqIoiqIoiqIoiuKKBg0URVEURVEURVEURXFFgwaKoiiKoiiKoiiKoriiQQNFURRFURRFURRFUVzRoIGiKIqiKIqiKIqiKK5o0EBRFEVRFEVRFEVRFFc0aKAoiqIoiqIoiqIoiisaNFAURVEURVEURVEUxRUNGiiKoiiKoiiKoiiK4ooGDRRFURRFURRFURRFcUWDBoqiKIqiKIqiKIqiuKJBA0VRFEVRFEVRFEVRXNGggaIoiqIoiqIoiqIormjQQFEURVEURVEURVEUVzRooCiKoiiKoiiKoiiKKxo0UBRFURRFURRFURTFFQ0aKIqiKIqiKIqiKIriigYNFEVRFEVRFEVRFEVxRYMGiqIoiqIoiqIoiqK4okEDRVEURVEURVEURVFc0aCBoiiKoiiKoiiKoiiuaNBAURRFURRFURRFURRXNGigKIqiKIqiKIqiKIorGjRQFEVRFEVRFEVRFMUVDRooiqIoiqIoiqIoiuKKBg0URVEURVF2MNbctQIfjLzMsvo3X2tf2v34fM4Mqw6flI2Fv3ZT+1Jla0B/232Ipv5XlJ0XDRooiqIoirLdQYGyfuWDlvht/XpV+1IlWSjyXt7fYxl92F2x60Br+uiD9qXK1oD+Vv8rikI0aKAoiqIoSpdAcf/WOcd/R2gksteOPhCh1tb2HL6FV5bNNErH0KDBloPliNfP2V/p/1U3LurWQluDBoqi2GjQQFEURVGULoHi1BQZyZqbGHGKMp1t0DE0aLDl6Gg/f/ei87rl1H4NGiiKYqNBA0VRFEVRuoTOBg3cBJXONNg8NGiw5ehMP2cf7m6BLw0aKIpio0EDRVEURVG6BKeY2hx4ywIf4Lfp+af1AWydQIMGW45E/ZzBAfZb52wZtkl3QoMGiqLYaNBAURRFUZQuoSuDBsrmoUGDLUey/ZyBL2fgoDsJbw0aKIpio3/RFUVRFEXpEjRosP2gQYMtR0f6OR+GaKblDITuggYNFEWx0b/oiqIoiqJ0CV0ZNOAUb+ZH420KycB0FGkUzLbxPf8Uam5vaDDherf9cTm3Zz7Mj89aiJUfl/E1keb++Xtz98192vnZ9UkE09rtwHyTwc1/NG6/Je7Ht1+rae+H9eRvc19mf0pGtNp5mj7r6jowL7Nc8aBPzbTJtIXd7nafs41tY/aPZLCPIzMv5sNlTnPm3dGgAdczH7PM9v46EnBgG3b2OFYUZcugQQNFURRFUboECgZTZGwOZl4UDfGgIEn0qkc+wT6eaDQFkr0/Z31Mcz7YjoKLy9zSsmwd3Xe8/GgUUfFgPnZa1iMe3Fci/9GYZ1c9X4J1jlc/u8zmsnjCk2KSQtNM72aJfJEMzn4RD7NtaYn2z4BHPL/QGBBJJJ7ZTkzntn08M3GWPZb/WeZk+g/7bLxyJ9OG9E2sPshjzA4WJTo+FEXpGBo0UBRFURSlS+iImEqEmZctpN3g1Udzn/GMgiPWlVpTINmiw9zWzZgfhU6yaWOJHee+kxG/tHgijPnY6eIJVWebJTLWI14AJBmSbTOzDrRYopU+YFDITBvP4vWnZOhIP3emjVUHkkw/so0iPVZ/oj+SEfFOY9uamP2S5lZ2BgzMNIksnu+T7fex+rMzSBLrWFcUpeNo0EBRFEVRlC6hI2IqEWZesYQGRROFjp2O3yliTDFFgWqmoZhywymQbOO2FHMUIG5XgZ3izE7L/TqFLEWRG7H2TWN+XM88ub1z/7EEVDJBA+Zp5kXjPricPqQ5/UdjvTqLW11ZR+6H++V35/5scxOtxCk2WXczLevhFJTcX2dJtp8zuGLWhd9jBXmcbcF+xWV2en4690tfueGsK/ttvHy4nv5yBoOcbeXmfzMv+p1+tdPF6j9u+XDfZhrWzfQV13MZ17G8bph9nhar3yuK0nE0aKAoiqIoSpfgFCP8Hc8oimLB9XY+sYIGpjiiMIl1BdwpSNxEh1Mg0SiOTeFCmJebqHXbP7c1gwpM44bbvmPVhyLMmc6NZIIGznrEEtIshzMA0lnR7RS0boEU+s1t5kCyYjMW5r7ZLs62TRazb9KcsJxM4/RvvP5upo1XNvZdM083n5jrY7W9LcBpsY4vZ7902xfrRL+6rbNh8MDMx62NzHrFC0oxr1i+cQYNOttHFUX5Pho0UBRFURSlS3CKqUQWS6wQMy+3dE4hEksc2ZgiiaLMiVMguQUMbMy8aLEEPnGKPJbbiXPf8fIjzv27idFEQQNn8CGR/5zinEKxo9CfZh7x2p9pnYEDN2Fq+oJ+i9VmxNlnOisqO9rPafH25WyLeAKcmIEopwB39qVY/nCmc8OZJlG54mH2R7d2N30aL2gQD5aPedPYP+P1BUVROoYGDRRFURRF6RI6KqbiiUYzL7d0TjGeSCBQWMdL7xRI8US7M228K8jJCK+O5EecdXET/PRZvPXOK/5uwQwnThHfUZzlTiTa2UZmejffxRPQbph1iHW7SCI60s9ZpkS+NQMfbgEtJ+btGE6Bbfo4Xl7OPudGMn03WcwyJ3M8xzv+FEXZ+mjQQFEURVGULsEppigy4lk8YZAoaGCKEF5hTgT3Z6en8beJc308EuVl4ry67Za2I/nZmOndrvonChqYYtvNv264tW9HcG6fzJVgM71zf86gAoVnIky/JFtvJ856xDP6OZEANgMZyczgcO7fxNmXYuEM4LjRmX4ZC7PMbn53zmShcZtk+oiiKFseDRooiqIoitIlxBMzHSWRyDDFX2fMKYCSFVuko2IqUdqO5kfMe+AT+Ye+dGKvoyVzhZ44rwYnU06TzvQPM71zf06/ddTc/JYM8erBMjn7JoMC8cSvmbYzZuIMpMSazWGWMZYfnP5N1N4U/vQN86OZfdS0WPtz+tU29s9E+1YUZcuyeX/RFUVRFEVR2umMKIyFmZebyOAyc18dNaeIcwqkeHRUTCVK29H8iFn/RP6hL53Y62Ktd6Mz5TQxp+HTksFM79yfszwdtWSDJU6S6efO2z/i+dhM11FzuwXB3DeFuxk44MwXZ9lizdBItr0ZLDBnriQyt/5q4wxMmcbtkrmNRlGUrkeDBoqiKIqidAnJiKlkMfNKJIopWJg+WXMTP06BFI9kxZRNorQdzY8kur3A9A/r7MReF2u9G84p7cmU02RLBw2Yv9nO8YzitLNT37m9uV83mLfZRvEe0mjmxVkJzrLGMzcR7XywYjxz6zs2yfRLBgycMwr4m/nS7HKa/THePgnrxG3cZipwWaLbPRRF6Xo0aKAoiqIoSpfAgb45wN8czLzcRIYpQjZ3X8QpkOKRjJgySZS2o/kRM31nnmlgbp9IxNk42zeZcpp0pn+Y6Z37c/rNrZ5bgmTr4bxqHuuKvpkm2baIBQW3m9h2Mz4XJF7gJJl+6ZxhwICFW56mzzpSR+bn3Ifz4Y+Komx5Nv+vrKIoiqIoitAZURiLRCKjK/dFnAIpHsmIKZNEaTuan/OhcfSFk0RBA/PhexRlydCZmQImzjZL5oqxmd7NL+Z6t3puCZLtexTPpoCP5WezrTZXEJuBCgYF7Kv2DCxxP1zGNMlM80/UL5mHuT5WUISYPutI0MDG2feSKb+iKF3H5v+VVRRFURRFEZIVU8mQSGQ4p2Cb9213BqdAikciMeUkUVpnfonutTffHEHjbQNOEgUNnCIsUR2cArEzws9ZT9YjHs56upXRvAqdbPBjc+lIP3f62a2tnPXcHEFsPq+gq48Jp/+dx2C8cm9u0MAZKEvUXxVF6Vo0aKAoiqIoSpewNYMGvIpr7ouCMd5U60Q4BVI8EokpJ4nSOvOjxQocOO8h53e3eicKGjifT8D08fznFL+dFaRmHrHKTpxT+2luvnMK7nhXu7uKjvRzp9h1u5XE2f5uaZLFDBrwmEh2VoEbznI5/e/sQ7H6hLPPxjqe4+H0I387YT3ZNrTNDZgoivJdtmnQoK6uDnvstid2HTwE++zxI+yy674YtuuuGDZstwS2h1pHbJfdsPsu+2DvYT/BrruK/3YbJst+gP13/yH2FX/us+9vJJ3Tx07bXcwlbzU1NTU1w9zOn9/absP2wR7DfoTdhw3DbrsOwy7D+Ddvbzk374rSkhIMKd0Pt956a/tfye5HR8RUIsy8Yl2ZdApGiiQ3MUEoSiigmJfb1V6nQIpHIjHlJFFaZ362UQCa9eF388o6LdbV+kRBA+LMy+3VgPxtClE7XWdxBh+Ylylq+d2ZxjY33zG9KUhpsXxCmAfz3xxh3tF+bt4KQnMT8c408YI43J51ZBpnXs6r/7GM++P2PCZi7cfZL53+dwp55ueEx5qzfdzScTnL5HZssnzcxszDDWc/dctLUZTOsU2DBhs3bkR2Vg+kp6QiK7MQnpQCeNI9al1tmR6kpGcgxZMFT4b87iEmn73T0pCV4kF2357u26mpqampda2lyvnWkyN/7+R7mpinh1hPOUenWL9TPR7Mnz+//a9k98MpppI1N6GfTNCAYsIptuz0FFW2sHKmcRPRToEUj0RiykmitM78nEZx7xT4NNYrluAzRVasoIFT9NnGbWlu+6QAdGuvZHET+TTuyywzjenMMsTys5tQ5nYUkaw7gwTM27nfzuLs54lwzppwaw/61Fk+/ma5md7uy842cfOJc3+JjPtxuzLv7Jdu+3IeWyyf7XNnWW1jPZyY67mdXW+2odMvbv4j3CaZdIqidJxtGjRobGxEQUERevfpg3zvz1A4+FQUDDkGBYOPc7XCIfb3E9QSWNHQE7/5nj/sKHiHyLLiM+AddjTydjtM/HwECnP3hTdvVxTtdqyk+66vTSsaerx80r6/HzU1NTU10+KdR+V76QkoLDkZhUMPiVqpLC/+PXK9hejdrzf69umNJUuWtP+V7H5wkG4O2pM1NzFi5uUmMmxiBQ7i2fY+04CizymUnBYvYEBMARVPPLldCY5lFHObEzCwYR6J2syun1mPeH5O9gq7bcy/szj7eSJYDzM9/eiGW+AgnjGtc6aB83hgGvrQaWY+djpn2ybTz2MFgUyz+439m/t3kqg/2MZgRCyc9dJbFBSl69jmQYP+/QfC40lB7wGHoHfJcGQWjEZW3vTvWe+iSvQvrWr/PUMtgeUMm/XN9zRvOTLyK9Fj0Gyke6fBUzwRWQVj0DPrWPQfcDSyvGMl3fd9btugodXt37+/HzU1NTU1075/DqXlDKtp/16ObO94ZBdeJ5+j0TN3CrL7/wupqUORkpqCVE8aFi2K/3C47RkKiGQH/7a5iRWSbNDAhgIh3r65jldr3fZFTMHGz3iYQilW+U3sK66x0rqJM4o/CiR7P7bxN+uRCG5rb8MgRDy4L+Zpl9NpXM72YLqugnk5p5PTWD8zyGHWI5Gf2S5uPrONy7lP9pXNqYsZoEimbxKzP8cKGhCWi2ljtQWN+2SbOgMGxPQp83BLY2OWiebsV85jIlZeLLPZTqZxue1rOy+W0Yld71jHMOscL2hEGACz0yequ6IoHWObBw369esHT0o6evU7FmmFFfAUTEdKwczvWUZJFXoMqWn/Xa2WwPruNveb756iGUgtrEJa3mykFFbCU1qBtKKxyOp5MPoNOlj8Pl7Sfd/ntvXZVbYrqBL7/n7U1NTU1Ez77vnT45Vzrljf3WYjlcu8s5CSP0/+1snfs7yFSM9ZivQBVyE1dXfrloV0T2q3Dhp0JaYISVaY2VBc2NYdhAPLadeV5hRHdl0SieaugOLN3h/NFnxbki1RP7a7WY/uSEfbgnWO14/cMIMTHT3O3DDLvDnYeajwV5Ttg20eNBjYrx9SUtLQs/9xMsCaBQ9FbdE0h1Ugo3Q6egzjugpJM10tgfXZvebb38XlSBW/pXlnIKVIfpdUIq14FLJ6/wR9cw9ESuEkh7+/a713l4EvAzpG/mpqampqLuY8hxZGrc8eVfJbzqPW8jI5L0+V5dVI9dYgLfcfSM0ciJQ0DzI9Hg0atEMB05ViZnuG4siuK21zBZeyc2JeaaclgzkzYUc/zhRF6TzbPGiQ068f0lJS0LP/kSJeZVBVUA2PDKJMSymoQUbJLPQYMsf67vHOVktgfXZd8O1v8WmatwqZubNkgDpPBqqLkVZQhqxeP0XfnF8jJX+upPuuz03rvYts450l9t19qKmpqak5zXkO5d+0ajknz7P+fqUwiFA8XmwCPEWcWVeBtPyzkZrVB6lpHmRr0OAbzCugbtOZdyQ0aKB0Bc6ggXmbhxvm7QfJpFcUZedlmwcN8voNQHqKB736H25dDeeAKq2g/LtWWI6s0mnoNXS69T2tgGnU4ln/3aq++Z5SOBUZ3snokVdmBQ88BfOQXjAe2b33Q9+cA5GSP1vSOXxuWL9dK9u/f38/ampqamqmfff8mVpQZln/3WZ+8/crtWCGnIfFvPORmj8X6bn/RGq613pzQg/PgJ02aGBOJ3feH72jP9BMgwZKV+C8PYHmduzwFgLnwzbjPbNAURRlmwcNBvD2hNQU9Op/ZPszDSqQIoMp01ILZyCjtBI9hlZZ3z3DJiFz8Hz06T8RJTmz0bfnQmSXjpHtrxFhPB19Cycg0zsangGTkD10LNIHimDOmYyeBSORMnChDNTmIS3/GmRxfzlzkcoHBA4ox4CSKbL9OKTni7DOmWPtw+OVQV7udGQX1Mig7xpk9FmMHgWXoJfsN7VEytd/BvoU3YSUAXOQuts8eAaPg6foevQToZ6VU/a9umwt67vbrG++c8psmnxm5okvCzhFdrb4aiKyev0MfXN+iVQvr3Z9Pw/b+uzKq2XRabep+TOR7p2B9MIqZEq9mU+vAYvQu281egysQJZ3AtK8U5A5aCaycseh1+DLkVl6JTzFC+DJFx8VcsBcISZlknzSvDKQ9lZJe1SJ36sl3Rwpr+Qvg+yMfA6q58pvaYfC2dZ03pTicUgpmiDfpTzif0/JZKQWjUOamKeo3Kpben6N1Im3VLRPFWZaaxaL5O1dgLS8BZL3TCnLJFnHWzM4ZbjS2i8ttaDS1Q9qampqHTU+p4fGczL/fjFgwHOfdU4qqraCCNn9rkRqVio8nl7wpO68Mw34EDZT7JhiZmvcV78t0aCB0lXEeiAhj6N4Dwp1e6OIoiiKTbcMGqQMrhThNxaHHDUPZ55xM0764z044m9LcMQ/FuP4P92CE/+8BEeddSOO++tDOOrcG3DsOXfh+LNuwrFnz8VuP78RvfaowlHn3I4jz7kTR/3lLhx59o046dylOPGcBTj6rOU49M+PIXPoZAz9xWwcds4DOPovj+LoPy3H8X+dhBPPug/H/KUch596F350yCwU7zMO/bzXoJd3NDIKpiClpEqE7Uz0yJ0iAvr7ddla1tVBgxRpmxQR2D2Ky/CrEx7EsX95BH84XXxx3g044azbccqfluGEc2/D4Wc9jLx9lokoX4is/OnoVTIe6QUi6PPnSh7zrWDBNyb7tUz2wc80BiaKKd6nI8M7TfKIPhTTGlxbz7rgVTtau8gv4joOwCuQbvmav2us30zDab8psp8U9hkrECDrpf6pXgYo+JAy5jNV9lku20XXMV1q4bYL9qipqe1YpkGD5DHvrbaNQmdnEDMaNFC6Et5mYM4iiGe8DUgDBoqiJKJbBg2yvDcgd5er8eFXATQFgQ1h4PnPfXj8ndVoCYbREgijPgS8+pEfj76+FquagDpJs17WHXPWCvTadTx+edQtWHbfKtSzHJEAWsIB1PsiGDfzNez5mwVILx6DQT+cjJ8ePQ/XjnsLjX6gJRJEo+zv4/WtWHrPF/hobQjrGoC33qtD1ZwnsO/PpiA1RwR50Y0ilEWA5k/9Xl22lnX9TAMR8SXTkV04BT/8jfhkykrU0XdirfLPF2nF8sfW4mfHrkDPIYuRXTxb8i1HdsEsZOZXI1UGxyl5Iua9fPBXVJxHBT1vnygXE19J3hTxDChwJkBm/jTx4yRp84liU5DCWQl5c6y3QHAmgWV5nNor7SWWli91Zn5FE6z0DB5k5M20jEGFNOYh61KKJlm3ZHjyF1pBBmumAR/CmT9f8pSBPdO4+EFNTU2to6ZBg+ShUOaD2GgMIFD47CzTpVlPs+47+swKZevAWxM4g8fuW6bx+Noab+NQFGXHoFsGDXoNqsF/r7kH9WFg+f0fYf9DJiAr/0JcMvwehENAJBhBXRNw2FHT0c97Dnb/wTV46Kmv8XVzBIV7jBOBOQM9Bi7Gfy57GA3+IMJoQCTcjEdWrkKfvJFIz5OBXPEyEZFV6JE/DnvtMQu+ZiDkDyMYCaBi7gvIyhuB4l2uw533fYQWXwNC4QZ8vdaP4/54t+Qv4ri0WuoiAtZRl61lXR00SC2S7QbNESE/B73yxuKnv74OrUEgKP72B5tRV9uCoj15+0IlPINFkBeNkv2ORoa3UrapQMkBfGPDWNlXjYj/ajHJr0DSckDNdufDwSj4ZTDN4AADArwfOKNgkvU8hnQv854j62TgLWXi7/T86dYtDan5sozBCPE3Xx/pKeHMAb4tQvadx9skKq2ZC6mFnFUwUUzScH/eObL/mvb9R/tdasFU680STh+oqampdcY0aKAoiqIoSnenWwYN8oYNx4e1QPnSV9Cr+GoRhNPRQ0Tj/Y82I+xrQSjkw1MvbsAg7xXonTsS/UTIHnzMItz8yHvowfvfRWRm5c9F1eKXowGDyGqEw834v/PvRDanuXPae/E8ZAyZi9Sca3DU0TcjHPQBoQB8kQYc+6ebkV5YjcycZSjZZyTue+Ij+EL1CEWa8OUaH/b8+SQpd5kMCHlF/bt12VrW5TMN+DCvknnwiEjvWTQR5/37RgSDQCQQDRwsW/YCsvNElIul8BaD0pnILq1A+sBrcPxf7sWS+9fKPkeIVSNF2iOtiLMXpD35NPF83jLA5xDUSFsukfLOEv9zxkC5tJUI/pwaZHmlLQrnStn5jAIGEWR5nuQj7eUpkf2WTBSbInkwMMBnUUi+4n/e8pCWx1saxA9Sf+uZCUXTJS+2kbS1NeNA0haWSZk4o2GC+Or7fVBNTU2tM6ZBA0VRFEVRujvdMmjwu5NXYNKS1eg1+DKkFUdFX8F+07C6IYBwpA5+Ee/Dyx9ESu9LkUXBPPBGFO47H3++/E7Zx1ikDK5A1pDReP9rv5SiFuFwLdr8AQz7oQzi+BDEEhGmQ2RQ5y1D9pBrMKbscUnjRyTox/rWFgwaNkkGfDdKWZcitXgifvCHqdjYFpZ9+8VCmFr9LFLzp8j6b4X71rYuDxqIqPaUyLYU/d5rcMPtbyECP0KhFvgiEZz5z0Xiaz6QcIolxDNz56J495GYOud5a4bHxdc/jAzvWGmvSimD7C+3DFnF0p4DJiO7kDMCKpAtA+mMnCqklzDoMFnaaRp6yLqsgTKozpM2yRmD1CHlsrxKflehV14lMngLSImk3SX6nIT0vDlIZ32kzqnF06Q8ZbKeswpkHR9sWTAXKdbtCuXI9MqAfdB8KesCZMm+s9nPCuYjLWeFqx/U1NTUOmoaNFAURVEUpbvTLYMGvYsWWFPT00pmSfp5yCiZjRPPW4QWBOAPNqI55MeBR84RkVou6atFbN6G9ML56Dl0ePQKtwjK/Y8qR0sECIcarYDAS2/Ui9Dnk/RFVFrT2ycjrXSGCOFL8PQbnyEUjlhX1m97+E1kFnL9IqSUThVxO1EGgJfh5Q+CkiaMoD+A9z/2iQjlffMisB112VrW1UGDVG8lUrwLxBah55AJ+HJ9EJFIk9hGbGqNoPBHo5CWN0/aZbbspwxHnbQU73y4Gm2oFT+34Od/uFZ8KT4p4lsLeKvBeGTmX4++g0ejV+HVOPD3C3DUqbfjN0fVSLprkDKMty6MR7/iyzGo4O/Y98DrcOgZNyH3hwuk7DMwqPAKHHb0fPzmiCXIKC6TtqhGZkEl+heWyb4m4+ATliKrYATSrIccsn5l0v7lyMgfiSEHjMZhZy7HH05YiT1/Ngv9hl2AHx5aJeWRthw4DRnSR9z8oKamptZR06CBoiiKoijdnW4ZNEgfJMK0mFf5RViKKEwfNAnzbnxTRDsQCUXw8Rdh9Cwot64op5SUyeBsPtIln6zS6+EZxKf4z8XwyQ/CHwTCbQ3WbQdjyx6SvMfLIE7EtneaFRjIyJuC3xx+A5oirdazEpj/hVfejmxeTZf9ZnlnIj13PHqXXomHn1+HYLBOClCH5jagT8l4yYdP6P9uXbaWdXXQIFPSZHH7QZX41XG3wheQBgw1iwO/wmPP1IvQno6MwlkY+tMluP/ZFvjDrQgENiLYWA9fazPW1AMn/vsxya9a2lLKU3g9DjhiAZbc/SVufegTjJtxN9Y0RNAcaMG1ZS9bt39cNG4DXnk7iA2bmuALtmBNEzDkwAUYdsBsPPvSp/D5N0r6IH5/yn3oVTwN/UuuQ828d9Dmb5DlEVww/Hmk5UufyqtBdslk9PCej8tGrsSn0kxzb/kIZ577Ihbc+gU+aQph/r2fITt/ttRvATIGX/89H6ipqal1xjRooCiKoihKd0eDBho00KCBBg3U1NS2kGnQQFEURVGU7k63DBpkFEyFx7tABlyTkFYyCf28k7FqdQDhYAChYBAzF72JdIrTgnmy/VgR7xMtAZ9aMBoZIvYzREQ+/dzHCIX8CITCaAtG8IeTZiKtaJzkO9d6UB8fstenpBwPPsWHH25EWEQo3xawx0/mSRnGSjnnI2PQPPQsvh69C/6FF96oRxj1CIZEyIYA796SV/6O8/aEtPyp4s/JyMofh9FlL4g/pAHpb6zBVSNflHSyv9JxGPzTGvz5n3eisT0YE/YBd9zzIf74r0fQd48KpOZXo3/+cIyY9DhWtYQxZu4n6FF0GfqVnIsPvvga4chqPPhsgwyqJ6NXcQVeenMVQr5aRMJtePaVRgzc9Uo88HwIDQ0tCIfWIyAF+ddljyJz4DWYvuB9rNkYRiRYZ90qMn3BK9JWZVLXO5GVOwH/vqYKzW0BNPkjOOjwMcjuW4G+pWVY+NBnuH72C0gftFDyuUl8VP49H6ipqal1xjRooCiKoihKd6dbBg0y+eo87y0y4BKxWzITe//oBoTDQYisR1A+/3rFfUgpmovU3PlIy5si+U6R9MusvNOKrsagIYvRWN8igrdZtgC+bgTy9+HzDsZYQQOKbD44r3j/GqxqCkmKDdY0g4+/BvoU3QQPZyzk3gFPyQLZ5nwMKP4nvpR1oXCz9TDEWhHKvUr+B09+2ffqsrWsq4MGHvG7p3gmehePxX2PfgYwaCAWwEYce/oT1oMHPaWTkFFUgZJd5qIpKP4IhSAfOOu/0YdV8jkQmXnVOPfMu9DUGMKXAT967yttXroMObtMQlNAGiL0Gebd/AZSB49Gdulc8TmDDxFEpBnKK5/H9TNflPxuw8MPrII0uvg8hGNOnY2REzaibN6zGDd1uZU+JP+um/q41HUsPDkPIauoCi989gqCoWYE/D5cNPwu9MiT/tR/IU6+/D78c+IdSMspQ8+iedJnvvWdmpqa2uaYBg0URVEURenudM/bEwqmiAhdLAOumTLwqsBf//WsiHU+mK8FbYEg9vsdH34ng7H8uUjP54P3pko+1ZKeV8xH46Aj70JE0nFmQGMYePbNZmQWXIXUoomyfxG4HMwVzsSxZz9krQdfyxgKYPm97yKD4nnwCEm3EB7vfGRLWfb44VVoFG2LcBuC4WZ8+HUAWYWjrMGhsy5by7o8aCCfnvwKDBo2Cl/xIYiMBohvatuaMXhfDoolTUm59SrEk868D3wvRSTiQ7N8+cEv+LYJWe+dg4J9ZuGDj2o5CQFzlnyEjJxZyMhdhLPPE7Ef3gCfL4yjzrgR6YMrMfiHs9HUxowaEBbfXjHmQUyY+wUGDv0HvljVJGkDVv7n/GcZ5i/fAO8ul+G2B99g9AZtkUaceO7Nss+pUu4FyJR2e/jFJgRCfoQibdJGddj7AL56cxGGHjQbvzvrVmR4q6W/8KGP7C/uvlBTU1PriGnQQFEURVGU7k63DBqkUQjmVYrIn4PU/Om44fZPRSf6RKS24a0PmtGz9DorHytoIIKUT873lIxBStE8ZObPwJUTHgGCIQSwzpppwOn2mXxzgvVWBAYM5iBFBHLV4vdEfEqCcNB6leI/L70PqZKPp2Q0PMVStsKlyBpYhco5r1vT8BEWQRpuQfWSV6ODwh3omQYMovC5EL85phr+sFQ1HBKf+PDkS18i23sNUvIWSJoK65WJ1QtegU/aIoAG3Hr7RvTJFf97pb2Kp2Lqorfhj7QiFGrFQQfNQc+c63DAYVPx3kd1CNaFMHzC88gomIDUnLn426X3IBxiMOgrEfsNmH7zOxi453j87JDxaAuF4Rd765NajJ7xDvoUXw/vkEn4orZF0kesV2Pm7zlW2lzqOngyekj5f3fMMmxohPW8Bb+U/bX3NmHwHtXIkPKl55Zbr4rk8w9SSsa5+kFNTU2to6ZBA0VRFEVRujvd8/aEIhlw5UwQ0T4b/YdW4ov1jSIU6yEyFlOrPxARPE4GZJORKgIwbeCNIljL4Rkig7L8ucgeVInHX//Smlrvj6y3ggYHH7UE6XkMFlTKII6v+hMxWzIV739CcRuyrqq3+CPY44D58Ig4TZWBXmpBJVIGzcKPfz0PG1rCIm7bABHDolVxwG8qpJwiQAtEgDrqsrWs62caVCI9vxyjy1fyQr51O0gLmjFi0kpkF41AysDFkqYKfQuq8d5nzQiiEY3Beuz/k7vRK2eBJciH/GIsNvrbEIjU4e23v8AvDxmFiUsex8fSFs++vw7nnHIn0gvLpazVyPIuwNI7n7OeJQHUo8nfisP+ciMyS6/H5dc/guZgCL5IBO+vDqFg7ynoO3QcDj32NjRHrKkhuPORT5ApfYBl8gyejMycSmQNHId/X/4QGv3S/KFGaf8mPPDYF+ibPw1ZhYvEL3Mk/Tzxl/QtFz+oqampddQ0aKAoiqIoSnene96eICLXUzAB6TIQO+Sku+BHEyLYgIDoxUNPvltEvawvmoK0/FlIz7lR8pA8S69EZsFcDNt7DmqDolJDERGvPrz2QTMGlo6z7mP3FPBWhipJX4X9f1ctwlLSiTQOi0B9+c1aZOdTUE5GSt5NyMitRq+88aha9hQaJV0gshYBEcnjxryM7EHjkVYkA8L8yu/UY2talwcNJE1W4Vi8JH6IhCMIipavE4H+iyOXSl1Hiv+WIKWwGgf8Zhlag35pj0Y8/uI7GDDoJhHsS5GeX43/XHsH/MFW+HxNePGlr3DN5Mdx5AUrUHTI9UgZeimycxchtaQGKbKvPsVlWNvULO0k/0kz3L9yHdKLJiK9cDQefnodWsJhNIdD+OdVDyHLW4mskmsxqfppBGTPwUgQF172rKSdKWUqQ0ZRDXrkliG1/wj0lLKOnfY6/OEGhLEW/lAbzvjb/dLuM8Uv7FdzZBv2AXdfqKmpqXXENGigKIqiKEp3p3veniDLPPnjRShOxoTKV0X/NyISqsfajUCfXaZJHtNE+E2TgVmNiNl51vdUimTZ7tx/3YO2SBPCkVY0ixg96x+3ilidIvvh8xEqZUBXg3TvNFw2egUikQD8vnqEQyFMLH8Gqbl8jkKFCOCl6JUzCYcdPQObgj4rZFEvInbFQ2+jvwwGM3NmSz5TkVq04wQNUsSnu/50Cpr4Cgn4RZwH8cBzteg9mP4eKz7hVfrpuGr0E9b6YLAV146/A1mDqpGZPwtZ0m4LbnwPYV8YAV8EVw9/GNmD5iN10C1IL7gdqSV85sR4pA2eirTiChx28k1ojfCWk7A1e+P3h92AlKJZyN9rHBraIG0Ywaq6JgwcOhoZufORPeQqvPxBvdWvQrJuj31no+cQ6StF09C7sBqHnLAEvYuvQUZBOXpJH1t+10doC21ECBswpfo1ZBRPgad4qtSB7T/3ez5QU1NT64xp0EBRFEVRlO5OtwwacNCVUSxWcD1e/WSDCMtW8NL3nXeuRUbJRHhKpyLFW2XNNEgTkchnFaR5FyE9bxyW3vGaiMoWkbx1eOvjVgwsHG/d755SJNsUyb5zROB6x+CR5z9CiJe4eaUbrTj8uNulbDLIGzwZaXkj8as/VGLVlxvRGgYaIsCND36CAXuMEgEsYj2forxMyrrtXt3X1UEDPhzw71fdi4D1AMQGtAaacdSZN8nySqQOlvy9UtfCqXjw6c/FYX7rlYwH/WEGeg4djsPOeR49S6dg3sKPZNsAgmEfyqqekoFyDTIGLUdG/hwp31U48V834cQLX5VyTsX4GU+Jb4MIoBlPPd2GQZI3bwk5+bw7wTsWfOL35Xe+h8ycqUjPn4GDT70TDXzRRbgR77zzOX58UBn+OuJtWVeD/X4xF3c/+T5S+v0dmcU1SC+ai6Ldr8WmuhD8wRCun/yU1EP8VDwTnvwpyM7fds+iUFNT27FMgwaKoiiKonR3uvFMg3IccdZDaBRRGQmLtQLl5W8io2SyCPvxSPHOsh6EmFbE5xuUIS33Duz60wVY1xJCMNiCNqzFHQ9+ht45NbKu0nr4nadgCjJyF+A3x96B+kAAkWAQET8Fah2OPGElsnarQM4BFfjP6Cfw+Rq/Nbvhgfs+xol/no8eBZNkn/PhkXJySny6lDPFyxkM363L1rKuDBpklVaJ72fikdcbEWgTZR6sw4a6BuTtWiZ1nYOU4krJX3xeMBGr6gJWAMffBBx+zL2Y89AG/P4vK2S/I3Hx5Q8gFFkvvv8aX9Y2479XPYpDTqrBuRcvxI33vorJ014RUT8c2YPK8doHbWgLA03h9TjqmBvRJ2+i+HMyZt28CgE+SBE+nPuXB5AtbZdecD2qbw5br3lEZA0+/3Qdlt37LvrvNxJpOYtx2t9uwsZgGP+99g1keKeJPyqRXTgJb74Vwob1rdj/oDHw5C6U9mdAYTJ6cF8uflBTU1PrqGnQQFEURVGU7k63CBrQMktnoocI8szSauTv9UecdWEl3viyAXzToehTNIq99NE67Pfbv8uA7FIRknPgGTQJPUvHo1fJf7HPry/Avc+9j+gj+jahIVKLzzYGcPZ/FqNg95EYJOn65F2Onx1yOd5dFX1AYrNYS/vnujbg1U/qsUp2yH3KrnDmxV/LAHA6sgaLQBfhnSpi1K3s28I6FDTgoLZYjA+B5EC2YCZ6DuPV/8nI9o5E0Y+nYvoNr6E22CL+8Fs+5OyKWTc9j71+cQl6Fl2B9LwJyBXB/e4qYFPYh00hPz5eC5z9r1eR2mestFsVCvaagC82iS/FqfWhJvFxCzYE21An/pyx7BP0Hnw9svMWoPhHl2M1n5kgy9/7CvAOvQK9C65CpvdyvPQBt2qV/IGh+9+AzMJZyC6agktGP2fNNGgOrsNb0kC/PHEFsvvUoG/hJPzf1YutvGolz4uuWIn+BefiwMNH4mtp5EvHvo0exROkz7DfVUvd+WyL2d/4Tk1NTW1zTIMGiqIoiqJ0d7pF0MAjgi6TMw0GzxSBXoPzr3kTF454FZeNeRpXjX8cV4xdiavHP4lLRj2Hi69/E0P2X2iJ+CxJn5E/EXsdtAQXSPorxr6Cq8Y9hStHP4hrxj2Mq8e+gItGPId/XPYy+shg7ueH3I9LrnsNw8e9gGtGP4WrRz+Ba8c9ieETnsIVoyX/657E2f++H78/bjEKdhuO1PwKZBRWIr24fTp7giv2W9M6HjQQ3xtBA8/AqUgvKkefoVPwvzFP4qJRj+Pa8c/gilEPiz8exZVjnsDlY57Bf699HsP2vwkZObPQY2AZ/nrBPbjvuTVYcud7+O3R85HWdxx6MIAj+84sGoffH78YS277Ek+83IJ7HluNCTNfxK+OrUH/XcbKQHoa0gfciJIfTMPVFU/gkrF349z/rJR8J6Jn3nRkl0zH+Vc/jOsnPiL7fQG9isTvuTWy3XQMHHK9tM/TKJv5JPY/WeqZPxpZOYuQnVeBv13xEP5+1Q24cOQDqFzwCcpm12LOrevw98seQ5/S0UjLm2jlYT3Xgv4RM32ppqam1lnToIGiKIqiKN2dbhE0oCi3ZxrwKf4puVUi1muQ4a1AduFkZPFNCrnjrIftpXtr4MmdhrShMiDLLUNaUY016yA9fy5SB9Qgc9AsZOfOQU/JIzNnGrLypkiaKcgonYbUIhGt+dXIGjQPfST/7LwJsn48sr0TxSYhyzvFep9/ao6IcNk+TfaXklOGlDzZjoGD7ho0kHJ7pO4evsqyXTSnFVbLcqmX1H3QHlPEF+Kr3PliVegpbZTtnSz+nyz+mCwDYN6SMUd8Mk/aYBoyvdehV8F49MgT3w9cKPteBE9xtfU6xeyCMmSIX3vkjZN2mIDM/DLJQ8qZz1dULhLfLpa8ZP+yPf2dMXCutNmNSM9bhrR8tuNMaRNpOymfVTcOyPMrkCllTs+ZgZ55Uu6iSqRKO2aULEFa3lwpk3wvYNvxgY1j5fcYKeMo2WaSdbtCumyb6o0Gfjzsg1IH23dqampqm2MaNFAURVEUpbvTPWYa8Ip+MR+qJ4JQBl0e+e7xingvqZT0fFNChQhSEezcng/kK62R7arkc471aT3kjsK5mG9RmIyUYjHJM5Wv4yuZZD0DwVM8Rj7lu5fPI5glYrnSevJ+apHshw/hE+MzDygouU8OAtMKmWYm0nmFPo/puuntCVbQgA+M5OCWV9tFZEuaVEmfJu3Rd8g0+S11K5olbcHAjeTDtOKL9BLxeYlsWzzFegNCSr6kodDPWypCf4EIdN7mwDKIz8XX6YPLrTcYpORw5sACpPANFyLqPcWSr+SVMniMpJtsBYfS8mWd5JeaK/vi7QPFZbK+RnzNmQDSNqWyz+IJsu0k+S51zWWbzpUyLJK2lrJwn0Vs/2Wyv2WyboG0Zxk8uROkfWW9FXyaL/nx9pL2IAQfXiltbftOTU1NbXNMgwaKoiiKonR3to+gQYrHChqkUoxT/DsGXbSMkuiDEK2ZBpZg5ZPuRWzyVX/eefJbxJ8IPwraNBmIpebOlPwoBCnkRQgWiegvmijCVERmyThJM0nymSZClPewt+eRJ5+FNdZyBiqs/ApEpFr5UqjSeEWaswrsAEG0vNtTwIDWkaABZ0hEgwYM2jAQI2nyKbZ5xb8affkASq4Xn1mzEcRHHu9cScNXE84TmyP1Fz8WjRPfyT7z5lqCP52zEYrHIb1orCXWo0EdvlJxurQn002R37Jcvkdvj5B9DL5OPhnUmSn7FiuchNRi2Z7txucuUNQPprCfhtR8BhYqrQE4gwieUgYwpkq5GeyZKG0+StJJXmxDlpNtLb+jr1ZkEETalQ/B5HMMrKABv08XH30/cKWmpqbWGTODBvzNILYGDRRFURRF6U5sN0GDfrnHotfQGegxrMqaUeA0vvav3+6zrO+9h04Xq0TPITVic8Xmt39ynQjmIWKDqyzrY1kNeg+Zg56DJd3ghWKLJV0Feg2RfVnLF7QvXyDLZlt59xo6U9bVyO9Z31hv+d1btuE+WAZnGbcnG7DH7G++06e95bNfabXUazZ67DIfvYdNRc++v8SA/F9JmipJQ99HAzM9htKvsr0Y/TFg97mynfhk2DRJK36RPHoOmScmy8UvfYbMFJ+LP2U9fdp78Czrd7+h49F36AT5Xo6+JYvQu2QZepbKp+XjCilDmeQr28g+rfYbvMj63mvwXPQunW/l22fYJEknxvYqXRxtp6HSHpKmb8kC9BPrWyL1GczySFsOk/IMnSLbVohJWaw+wfaU/mK16axoPXctFz9UtNdZfMQ6M9/2Opu+VFNTU9tcs8/JvXhOEusxjOfiOdb5aUD+cPTs11ODBoqiKIqibJdsPzMNBhyF1ILoFHnnlRqnZfAWAm+5dYXGvtLPT/5Ol3W8Tz0jn883qBCbhjTeyvBNWs4UqLamvad5o7cu8AF8abJvpuH9+Wn5vJ+fV52/zZ+/eXWI+aUXTBXjFezvl217tGRuT7BmXVjGq+y2T+kD2kzxSRXS88Rf4puoD2U9r/YXTkF64QRkFI6V9XzNZTXS8yu/8X0624HPNshdhLTchbJ9jZSlwtp/WuE4sQnyu8zyrdUmsh+2AWcL8O0NTMdbStg+zNuawcCy5E+X/MulHdgXaPKb+2XbsS25n7wF1jMNmDfblm2Ymj8n2racgSBl5+sxo+3MNNxvFVKsWSXf9aGamppaV5jONFAURVEUpbvRLYMGfBheVNRHBbGniNPWo9tFBWf7rQScKm8J4TJJw9sTOMWe0+BluZev1bMFMIUyhSM/JV8+TJG3P1j5yqcM7jjF3brv3cvbHijCy2XZd8u1vVoyQQNLVNOsQEA0gBC9XYFTa2U78Xl6Husv21u+qYyadVsG24OBhRprQBz1I2/hmBs1tgVvB7FuCZF137Qxt422IwMV39wWUMh2kvZi2xbwAYlsK8mveKLUYxIy8llW3nIi5bRNysvgUGY++xBvKxHjp5Q1uk+mYf4VVhkZYEjLjw7eo/WPmuUvqzxqampqXW8aNFAURVEUpbvRbZ5pYFpUmFLcUdQzCMDtxNpFH4WodW8+H5pI4fmNtd+vz3vc7WXM4xuTvJjfd4zpuK/2PK39UnyKCG0vz/ZurEPCmQaW76Ki2jbLH+2+iYpt1rnd1wy+WH6ZaT0PwONlUIW/7bagr/i8CAp3yaN4nGwzMfrd2obPEZjd/kmRz+AB17Hd6HN+Z77zxObKd2mzIj6QcooMuFk+7osBDG7LNmWwiLMbGDTgclnPfmH1Dbst+Z0zC8QffGZDe/Ap2p9sH3C//Py+H9XU1NQ21zRooCiKoihKd2P7CBokeHuC2uZZckED923V1NTU1LrONGigKIqiKEp3Q4MGO4Fp0EBNTU1t+zANGiiKoiiK0t3QoMFOYBo0UFNTU9s+TIMGiqIoiqJ0NzRosBOYBg3U1NTUtg/ToIGiKIqiKN0NDRrsBKZBAzU1NbXtwzRooCiKoihKd0ODBjuBadBATU1NbfswDRooiqIoitLd0KDBTmAaNFBTU1PbPkyDBoqiKIqidDc0aLATmAYN1NTU1LYP06CBoiiKoijdjW0eNOjXvz886YOQ1fcU9MpdjJS8BfAUT1PrSiucJZ8ySC0ZB493lvh4KdKLxiFt4E/RK//36Okd//1t1NTU1NS63oqmik2GJ38ePLk3Ij2/HJl5pyI1vS/SMz3ooUEDRVEURVG2M7Zp0KCtrQ15+XlI65GBPoN+ib5F/0OfghkiZGvUutB65s9Bz4IK9Coci955Neg7aAl654xF1sBD0SfvePQfMNF1OzU1NTW1LraCMvQqGoue3ir0zFuE3t4KDCz+DzIy9kFaaiF6p5Zg8eLF7X8lFUVRFEVRtj3bNGgQiUSw2267ILtvLwzI3xt9C08WEXsW+uT/Sa1L7Vz0zhe/FpyCvnnnod+gCzAw/0z0ztkdOQU/Qm7uX1y2UVNTU1Prcis4Fb0LT5Rz8l/E/o0+3nPk87fo1bcUPXrmoG92DpYuXdr+V1JRFEVRFGXbs02DBk1NTfDm56JXnywMzBuEnv2K0LtvCfr2LfieDRxYjLy8Ia7r1L5vBQW7fPu7T5F85qFvv37yvRR9e++BfuLrPgN7INc7AP367vptWhfzeoe5LldTU1NTS86+OSf3G4S+A/qgTz+v/L0bjF79C9BrYG9k98lGds8s9MjqoUEDRVEURVG2K7aDByH2R2qKBxf873xsrN+E2vom1Nc1f8/q6mR5jHVq37eG+pZvf9c2yucm8d961G+S7xtbrc/jTjgKp5x2Kmo3tn2b1sW+k5eampqaWtJWV9tk/f365jxaWye2XpbXora2AZvq67DyiUeQmZ0FT0qG9TBEfaaBoiiKoijbE9s8aNC/3yCkeNJxySWX8n4FxPoXbv9nLtN/Sf6LhMS3fvn0IRIOIBwOWXbSqafijD+dhWDYSKv/9J/+03/6r8v+hSOOv13hMBCUc3IoCIT9cm724ZVXnkVaekY0aJDSQ4MGiqIoiqJsV2zzoEG/fjnweLJwycVXyuCJ/4mgRfB7Fmo3t3VqiSwgfvWLtYn5rN/hSAgnncKgwZ/kN/+5baempqamtjkW/dsl59z239EgLi0ofwX9YnbQIA2eFI++clFRFEVRlO2ObR806D8AHk8aLr7kUhlMcUAlAtf6/K6F281tnVoiC4vJGJX/k8ErB6r8fupJf8KfzzhLVvC323Zqampqaptjzr9dnHkQklMxLcw/hPL5yktvIC21B1I8KUhJ0aCBoiiKoijbF9tB0KCfdXXl4ksulrFTsP0KjKx0GEWuJXrlP2uwJckQbhWrk2UhGYiFEAzJoExGYda69u3UHAY6h4PXME49+Y/48xl/kuWB76WLhPk/+U98HuZ0Wi7nVFpxLpOLw5lIPpne1/7Zxqyju+A6NmVQ0oWbxaStmEe3Mfkf69B+VTDCerMPyqJgMGx9WvXkFGNrqjEDLzR7e/HJN99jGf1Ov9BkW/Ez/R7t6wEEuTzks5KxDSg2vvVvoF14NIv5reaIlkfykW0QloQssywLcyWrYpWJbdGelgcKP/1MJF9l25BswCpxeSjYKMslb7Z3gAlE8EheAbEQjzW2LTcNyKdVB2bJ6dbynftn3u3++37d1dR2DoueN/gl+ptfeWjQeChy2SsvvY601Oxo0MCjQQNFURRFUbYvtoPbE/rBI4OkSy65pH2pO1EhxVEXJ3PKgMsSrnXyv68todISaBKRJQKHo7BoMiUO9OXJJ5+MM888s33J96FQDQapIAX6NNwiolW8b/leHE0xaK2uj860jdQCbfIp3yOSztcgG1mj4k2yoEEazfrRPbCiAqyUpZjh90vdBVaba75ZHZIKByRNsFl8SuNKMYjgToiIa/rGsibZjjKC2fkRDDfKfiQP6dcBcV1YMm4NSBk4m9nyeSuo1f1YJ8bAQfvykKQR0R4JSrlE7VPDW1jbNMmxstr6LocKAn4pLw+mNtmv/BeOSD15+0r7eqtcYSlXq1S2hXVss+reJvsKSMZhn/xijMAfkmNvndWnIgwOQY7LcHsAycrILoSi7HyYf7ti8corryAtLc36W0jToIGiKIqiKNsT3TJoEOAntZxfhEmoEUG/H34RPAFRKWGKHAowJS70ZbygQUCEsO1zO3gQFlEcDLXCFxRxGWkUfzfCL7oxJJ/WxXZssOICvG83EKm3tLRPBGk47BftKD+imrh78E1UIGrRh0eGEZI6BGSRn1fcpZ9FUCtCvEXWNVp+4FVEK2jA6QGJ4C7oE37KNqEgfc3+zcBYCG3y/6DkzQv6rSK+/Qy8WNEZBjDEv5ano1lYixkokK0CAR/8Iupbpc38zEXaIij5hsJs0ybZj9RDxH0Y66Q+nKUTQZts3yLr29AAf7BZqs9ZO7VSllbZlgGIeqv9W6WB/VIea9KDX0op+wlA+gTLLQVhPwjKMRkJ+9oLZkUVxOS7ouyEmH+7YqFBA0VRFEVRtme6Z9AAn1hTqMPyv5AI2FbRJBtETy1e8iLefYtXPJMQbDs59GWimQZMQ1HJgMHnX6zBK29/hBff+hTPvvUlnn3vSzz11hd44e2NePGdz/HKm+vl8z288fFqvL92PTaFWi1p28o85FuYsxS6k3C0p9W3q3pOy6eoX/11Ld577zPxxSo889ZXeOHdL/HiG6vx9foG6Ze+b4MGlpxPALNmV43uAnWbGvD6W5/gZfHvi2+vxzNvrMXTb67G07KPp9/6DF+xk1szGBg84PV7llF+UpRzSkFok+x1PTY2RPDMq6vx7LtrZNtP8Px7bDdpp9e+lPw/xaqvNsIf9sv2jVhf24prKu7C+dfejjm3vojaQCOC4Tr429rw2uvvS1uvxgvvrJPtV+F5Kddna+vhC4URCgSxZvU6vCR94sl31uLZN+rw0luNePH1NVIlOS5ZHqmTVUEej92p7RWlCzH/dsVCgwaKoiiKomzPdMugQQs+hk++8uroV+t9GD/zMey+/0T0GTQSt962WrSKKpRE0JfxggYMFjANr65z1sGLz3+KmjnP4sc/r0TP3HJk5sxE74IlyOq3CLvsOwkH/rwag4tvRZ++C9A3txp5w8px7Om3YtGtz2Ntox++8NciqHk7STeBXciabRDtS7w6H5BO9+rL72NWzRL85tBJyMqbhOyC0ejlHYmJ0561ZghYm4iYD1s30STCjhqIwJbPL1d9jeW3PYYzzxUf5l+FHjkTkF4wDZmll6JHweU4+bQl4GMI7M24FWccABuszzAarJkCkyo+QB/vBGQVX4PM4kvQZ+gFyB54DQ49ahaW3fwYXn39c7QGI2iRsp51zk1ILZkKz6B56JlTjnk3vWjNWqhf24YZ0x7GgCH/QY/C8UjPnSLtPRqjyx6UerZZtz8899ybOPjoycjInyl+GIF+JcMxZJ8L0cBAEx1h+YLRPRq/K8rOh/m3KxYaNFAURVEUZXumWwQN7AGXNZVaROwm0WNPv7QJlw9/DIV7TkJa0QiklIxBugilZXe/I3qqG4nTbUSioIETkYFoEVt8z1vIKB4Oj7cCnoJq8XkZxs17iNe+sc4fwrw7nkHBD65EdmEFsvOq0Se3DAcfvhDrpUk4Rb4juA20ncsS/SbmMn63LS5cbSaR79TBlhYW0X7bfQGk5MxDSsFCEfZzMbb89ehzBax8+YI1KvtEMLDAmQPNYi2yacAKhn0tvircdSp2+8k9so/bxc+zkJqzCAMLpuGtd+uiGtwvW7MgYRHwvDUiVCe/m1EbCOMnB82Cd/dbkeKdBU/+XKRJ+bJyZuPJl4LW8wj8oTDaxBragB/8oAyewhvh6X8/eg1ajn9csJTPXrSCEs2twG9OuBGphXOkvW9EWu5CXDflMekFsiIYsG5FWHTnF1LG25CaX4Osguko3mckGmUfUsR2/0lGGjRQdmKSOd/sqEGDVatW4emnn8aKFSuwaROf3bJ9wrJ98MEHaG3lM1m+C5dxHeuidB/sfherXXdU2Jdfe+21b+q+M8N2f/DBBy3rKl/Qv/Tt9n5OU5RE8Jiw+3KydJugAYMF/Kyrq8P/rpqHq0bdiP9cdTt6FU2Gp6QGnuIqES7VuOGur0SmcGK8Eg/6siNBA17XDkba8OALG5FeWA5P7nJ48u5AWt4iTJj7mOVxXziCBhGHVTd+hcy8pUgZeAt6Fd6K3rkVuHjEvZSPSWEPsmmxMNOY5gb7jomd1u5TrnCxscpK2x4w4HMbHnl+E1KHXCP9bhzShkzFmGkvWs8GiN6fYM8CiA9LZSVnfMGaQtCKtnAr6uXr7j+7AvPu8CN/n/ki/CuQWrAM6fnluPDaFfDLfvhsiTDWRycqiCYP+sNoagPue/Qr/PywafjD6Q+I2J8BT+FceAbOQ4+SCrz1BYMZX0m1Vst+69EaDuCCi1ZIe16HXsWV0k4jcNvdr0q9OZOgFa1StqPOuRmewdfBM2QMUr2VGD7lUdmd7FT+Y9DgtifeQmrxVHi8C5HunYXCvcdYQQOrXqyg9WYNBg7ku6LshMQ7N9nsiEEDDkTs+tA6MjDZElBAxBKPdhkvu+yy9iXfMnbs2G/WdwcRpkImit1mtAMPPHCnCPowUGLW260/70w4z0EzZsxoX9N5mIednwYSle6Meb7g92ToFkEDW9zRONsgEAyjNdSCTSEfzr7oBXgKquApmoWMnDm45fYW1SdJQF92KGjA+/tF/D3+ygakFFyFlOLZ4veFyMivwpTZD4uG9CMU/Ai+yIdYLToxe/A1SC2agLSiSqTnTMJuP70eDUlEDRINrjuz3lzG7272PSzBG/0aVfXtt2uIcUbByudXIW3oJSKoxyGlZBLGV7wk6fnAQBmUyvqkgwb8Hy/L0yJ86GET6sRPe/78AqwU/X7puLuQXjBK+vd8EebTkL/PdVjdEJZtGxAJN1h6nC+4aAsErNkDp52xBNXL3sOR585GmneKlG0ePDk1yCi+Dh+sZaDhc9lpg1hQ9tWKhrYQFt76FKZU3YeHn/wgeutBiPNGmtAmtTjqz7fIvkfAM/QqazbBtVMel7ZmlILlD+HOJ15AZsFo6QuzkVFQiaK9R6FJ6v9t0EB8og9CVHZiYp5jDHa0oAGFq10X2nnnnfe9QQmvhlKQU9iwvvzdGZivnQ8H9G4DeVM8uA2O7HVuIovL7PVdHTSgn1hm7sNp9AnLTb8ke6Wc4pjl5OfODn1o+4PGPrKjY9b3+OOP/955hP3XPlacxr7GK/I7UtCJxw7rZvuElqw4coPHoe1j5rs9Yc+qMOvLsrK9N6fO8TDPXfy+owYs7b8x5vHFOtPfyZ6bk4HHJ/3Iv5fmfrjM+beH+411LMcy5uMsL88T3A8/k6FbzTSwLchX+WETWkT8XDbqeRGnFdbtCT3zR+CuOz4WfaIzDRJBn3YoaEDBL33t8edXW/fYezjDo3AmsvJmoqz6sejbFBulfUL1qBVBmbP3eKQPHg/PwJnIzJ+LvF2rsTGJl1rYg2u2s8/HefLfxV7PTz6gsa2tzfo0l8eD+XIbGtPa9j2+EzQIIhBsRUuriPRIUFaF8dgzTSLmK8QPy5CSfwMmlL8F6z2gQT7wkQ8ZTAzfjxC0XrUoPxg0CPOVoX40SzZ7H3AtHnkOeHfVRvQpHWMFaDyli5CaNx3T571shTF4ET+A1fCFG2V/a/DeB1/jxz+ZhE83RXDkuZORkTMXqTk3wFOyGJklo/DB1z7Jvzl6RwRjG+EAmqW8rf4QfLJ/n/X2BkkT8CMSCkmSEE740xNIyZ2D1IJZSO9/N66d9Cx8PL4YQ5I09z32LnoPlH0UzkBGYRmK9xmBZqmP5VKrkPSz5OfiYkXZGYh5jjHY0YIGHEzZdeF3N+zBimkdFeUUBc483GY0cMBkr+fAyYm9jumcmNt2ddDAeSU0niUalLNsZvquLmt3xexnOzJm+8c6f1Bk2GnimZu46M4wkGjXjT7oLOZ5bUsJ8c7AtjKFppu5nfc2B7dz1454zqHfnPU0jX7f3GOF5/Vkjk0T5/k+WXO2Ec8V9rpkAvfdImhAzIFXRGSLNVVcfl475lmkFUwT8VaFjPxpuO3uD1SgJAF92bGZBlF/P/pCLTK8063ZHdlDpqFn/hiUVz+IYLheFGwQocjX+PjLFvQsGIu0wpuQUrDCEp0H/fFy1Ms+/aEINqxrxlVXLsRfL3wUp170ME6+/G6cffFDePjF9yVNGEsffB/7/HYx8vctx6ipj6KJGlWELQJ1sp9GfLraj/9euxy7/boSJQfdgWG/WYa/XHAfXn19oySstcQuH94fkeM47GvDxvpalC+4H0efcSv2+/XjKNzjZuTvshQ//O09mLzgKbSJ+I7460UwbxQRHrEeLYiWgCWiX/7qK5zxvwdR+oNlKCh+CIedcBMW3vUi7njUh8z8SdLvKpHmnYGxFa+Kf6RTUslbwYAkYD9t9ysDEVGBHUBrANjrwMvEH0BzOIw//XUZsvInIpW3CRTcgb0PvhW1wa8s4Y+Q7MvXilrJY8TUJ3DlNfegLRDCKSffgXQpW4p3PLKKZiK1dBo+Xl0nPmQbAF98UYfh14zD2f9+HGdetBLnXv0IzrjgQdzxyKdSHnFeyCdJ/Tj6LzfLPnl8zURa/gyMmMxnGvDga5WyhnHXE58hvWAKPKXjkVo4CwV7zEWjVJ6Bgo8+WIP/XHw3Tr/8Ppx52aM4T9r7nxfdgbmLX4Q/wKhMmxgDfFJh+kJRdkB2xqCBOaCMNaCy15vW0YGtKehtcwsamAO/7Wmmgeknilvui+YWULEtnlgx0ylRzEHxjjyd3BS0sQb/Zl+m2LH7m3kF1bbNEdfbI/Yxxfp2FluY01/bC24BA/5mv3cu76rAAUWuW5/Z0YIGzoAB+xD9ah5HNPq5s4EDbuc83zM/7pt/H3gc2r42MQNhHTFnG5n5JNM/NGiwk9K5oEEIK19YjwwRyZ6B08WmIiNnBsqrn7be0V8f/AKNIiirbngRPb0j4OlTBU/vqehfej2W3vAq/CLCOY2eF+TffHMDBpSMROYwEZy5/0WmdxJmLlyJF94IoWfBdegz+AZkF87HsB+NRIvsOyDlDQYD+FLU8SHHrETuwCmYMW+l9QDGXx07HIN3W4B997kDn60V+d3G1yPWizhuxtp64PBTH0S/wVfh39cuw+ufv4dbHn4IebuNRp+hUofcizBnwTsItvHhmfUiiCNoENEbDNRhzXrgB7+tQMqAKeg5+O/49ZHl+NURl2BA4XE48U+3o4eI5ZQSqaN3OsZNf22LBA1aZfEt97yGjIFXIqNojvTzBUgtGoUX3t3IjSwL+ttQJyL9gN+OxeNPb4Bflp1yyr1IyZuO1NIyZMmxEQ0aMLATQrNf2kDSvPP2h8gZOkl8cC2yB48Q8X8tJlY9jzDz5dsiwiEcffYd8BSInxIFDUrGI807H0V7TkMzb0kIt6FhE/D065+g15DLkZlzKX552GV4/o0W+Nme1lMxeetC+2wS+kJRdkB2xqCBedUkFvZ6mjkATXbwZQ52zEGXW9CAMH2sK/X2tm6CwhwgbsmggVu5WV4zjW3xAgc72sB9czH9tyP7Jpl6xuvLPO6cfW17upq+udh1dzvGk8E832xPARVT2PI86Dx/msEkWlccA+Y+t+T5cVvCvm/Xi8b2N+Fv8++W2/k7GUz/sf2c+7HprG+5nZ1/rGCX+fcz0d9fDRrspGxW0EBEZAqfqM/nSOTNxaQZz6NFtN/GcD0eeaEVw34wHn1KJyK9cDp6DR2Bf112C5obw/CLWPWHRBhLw/Hq/o9/vRBphSI4i0eKqKxB1cLXcMSxC9Gv5Dpk5lUgI2cmSva5xrrdoVW2aQ2FcF3ZShHQU7Hv3nOwqS6CllAQi295C/1yJqDngEr839V3INLCS90b0RJpweUTnkVW3gwcdOydqJc+44s0oi28Cf8Z8ZSI4MlSxnHY78AK1Nb5REg3WOKdQt0f8uGq6x5Hn+JJyMqZhcP/XI51LRGsbwpi4Q3PYde9hyPDOxEpxTOtBxVuqaCBfMXn60Io2H0k0nIXic+rkVoyEuMqnoRfhHc4ELLK+sYnPvzwZ9ejtjlovVXhtD8+gNT8SqQUTYkGDUoq2oMGQbSJH/lchqB8/8nBS5FdPAWpeVKfgtGYXP0qghT0wQgC4TCOPvvu5IIGRWXyORPFe48Rv/P4bLVuX6hrAwbvNw6/OqoGH30tvpf9tvh4LLONxFfWp/wnpig7Ijtj0MAcCMXCXk8zB6GxbmdwYm5jip3ODN7sbd0ExZYcFCdbbu7XHKDye7LBlZ0d08c7kqhxkkw9k+nLZsCvM8fS9opdd7djPBlM/24vwRQGFe0y0WIJTrNNNzfgwX5j58Vz8I56fJlCOtbfJDMgE0uQx8O8vc4t4NMVOP9OumHOxkp0i4IGDXZSOhw0oKYVERkNGpTDUzIbHu9MZOQtxkGHLcDZ583Gjw6tRs/cOeiRPwdDfz4bU29ahU+a+ELBAIJtIjJ9YQQCTQiF/AhKXr885AbrCf9pgyuQMeg2/ODn83DtiEfw1Bs+/PrEavQuuhYXjXiQd/2jVgTow89+jZ6FE5GeewMuunwlAi1+BNra8MFnzehffBGyRbz3GLoAn7xWJ5q3Fl+1tiCreDhSC+5FZv5YXHYtAwotCIYaUbXsDaR6y5BWOAdZ3go8/hzfKMAnEQQsQf3iexsxaPB4pAzkcxvm4dbH3kNziIK7AW3+Vsxb9AkyCyeJoK5AWnEVRpW9JNvLhlYevi4LGvgCPuutFP+65E5k5tyM1MGVSCkegd1+vAi1orn5PgRf2I/Lr30AYye+gFYR67yt4PiT7pLjohopcmxkFTLQYAcN/GgJit94/ITbcPAJtyI1fwaySiVdcRkmzHxL2kjKJRUIyH6POSvJoEGhHH+FZVaQp5XPZkCLlN2PisonccxJs/HVRj4+0S91a5X6io+DnI0QkjrzuJZ60BeKsgOiQQN37PU08yoeB0+J4ODKTG8OZN0GRkzPNLEGtfa2boIikdAy8441kyEW5oA71oDOxikQ3PoI/chyxBIPNkzD/dlGEZSo7HbeZjp+58DZzifRfk24Lfdrb8t8Em3vVgY7D27vVgeus33GbXdUkqlnor5MTCGUjMBmPnYb0ig6OiJ+2Kbm9mzPRNtznzQ7Hds90fZ23ZOpkxum79z6mQnXm35J5vjqDGZbURzGwhSnnRG3JvYtD8zH9rudd6w+1ZWwv7A+3G8y54zOwDztOsX7e8R+ZqejdbQsZjCHfaSrYfuY5YvVB83+Ea8fEQ0a7KR0OGhAfSe28oWNIg55ZVl8XlqBdBHdJ5yzDDPmPYL/jVqJnx0yHz0GTUF2wQyUHFiBo89biMV3voXWFpGanPcumYSDzSLqA/jlEQstEezJG4f0nFuw909noqlZRDAaUBv04ZPV0kdEgzejVSyEM/92OzLzqkSkVqN87nNoDQXQJvmtFnHaa9jfkVEyRQTwAkyfTPEcwscb6pAzdAx6DLwZvQuHY+i+p6G+ScSriP+axe8jrbQcnuKZSC+egVsf+AJB67WHfFigD5dOeBopeRMlz2noXSyCe0MEASrbyAZJ04Innm5Dev448cN0pHintc80kFVSL+v1lPL/hFjpo/04VtAgEmmU8kbw+nv16J1XgVTvDKSWTkD6wJm44f4PpCTNWLvJj5/8ZDQ++TxkBRH476QzbxeRX4UUsWjQYHo0aCB+pej3BcIIhZvw+5OWS/llfREDKFMxsfpt3pkg7R2SzyCOOfs2KzCSMGgg7Z3lnY3Be01ESziAllALqqo/xCmnLcbXG1tkG6aPziyISLtF+MoHupsuFZNeQY8oyg6HBg3csdfbacwrO4kGn+Zgmd+Z3v7NwaSTRANbe52boDDr4tyWg0bzvuGOXsUzy+VWbifmVSO3wb+9juaEZeU+uJ2ZzjT2OzfBRew0zINpzAGvaSxjrDxszHo7Ld72dlvwk2mc92y7tZ+5r60harYVydQzXl+2MY+teP2ZAsnpf9vYxxJdsaSAMcvj3D6WiGK57XSsM/fj7NOsgxOz73QGO2+3484kXt/muq6kI6LTLEdnAxhm37Drkky/6wri9Tc7cNxVmPVMJKLNPtxR4W9vl6hPdRZzBkG8evBcaqdLFLTXoMFOSueDBpuQwSvsfDd/yQSkFkzGuJqn0SSN0RJqRnOoEROnvYWsARXI9IpgLZ6DjEGj8Zfz70Jjm0hjqmkRj8GIH788grc4SF6Fo5CWNxf/vEJO9EERlJFahCSNaHvr/nq/iNtWEdND95okwnWSdUX8/Ktexd2PN+KOx+qx9IFG9B06Bdl5M9DTew3O/NstaBZx6ou04uabP8WRx9yMs86/Ac+9txp14RA+XdOM//vXQ0gpnBh9gF/JeCy/78v2q90i3NGAX5zMNwJQLE9E7m4VWNvEskhhIhvF2vDEUy3ILBwvaaTvFU7HOOtBiKybFFrK2mVBA2y0ngHRJhkedcpC8VOlFahg8OC3J9+ITfBjwY2r8bdzVyAk5QuJg/3SUMf/6UbxVSVS8muQZd3S8N2gQVD2ybeM/O7Em0Tw85WlU5BaPAkTal6NBg3CbCMfjj0nuQchphQtQFrOPBTvMQp1gRCm1byPfrlTMLb8fTQEGiWvxmhFGSiwjftprzuDHYqyI6JBA3fs9XaajgzUzAADBzxOIeEk0cDWXucmKMy6mNs6RSsHfh290mSWy63cTpxXjpz7M9c5iSXynRbL9/Z65hNr8G4b17vhJvTZlqaPaUzDtE7sdFzvVga39ttaoiZ5/PhqxYU4bPIL1izKriKZesbqyyZmmlgiiMudQp3tYR6XNDfxTrjvZLZ3Ow9yW3t9rD7tdiyZfaejmPt062M2pkiz9+Xspyb2FfOOmHnMJ9OeNmY5EqV1g8ej3WamsGSZNiffZGB/s/cRy0zhzfOk02+JzAxy8bedL7/Hw2zzRGlNnP24qzHbi5aobcy0budeGw0a7KR0OGhAf4tZQYOCqeJv8XnJBPk+HpNnPc4WkfUtCITWodkfwaEnLUFK3mh4BtQgu/RGZORMw/S5r1gz0sNhXgsP4qAjFolwl7wKRiNTBP+kWQ9b0+KjiaQR+T3E1ykGsaEpjD6F1yC1oBKp+dX4xaFz8PcLluPfl96Ov1+8AuddsBJ/P/9J/Ou/d6Jszj1oDbXB718jWflR7wthg5T9+Y8C+N91j+BHP7sap/3pHhHBE5G6y1TpP6Nx232fSbnYcaRkUo+SX4iILqpBauF0FO0107oVwLpSjlp+wRNPNiOzcBw8heVWcOGboAHLLuXtsqBBpEWy5FX/MFY8+BayvGOlTPPFZ5OQVVSOilvex8FHV+OxxxslnVVItIkdd+YKpHqnRW89MGcaBDgLImIFBngc/e7EW6T81VYQKKV4EsbPetUKKFhBg7Afx559q+wriZkG3hvhGTRZfHUVJsx4BX2Kxkj5ZiNntwl49k1pB0aLZDPTuL30GvnHGRKMIijKjsfOHDQwB3JO7LrSCAcq5rJYAxe3qZTmAMxt4GYOAt0GT/Y6N0EQa2DOfdvLWc+OBgxIRwanNqawcl7NtZfTnNj1YLmdPjADNjS3K5HmehrrzME828kepJvr3QSnmYYixtwP8zF97eYPc72ZjvVhHdz2aQoOt7bfJjS9gMkH74+z573VZYEDU7zEIlZfJvS/mQf7mdsxyGWmwHC2k3nln59ufcnsw+yP5n5YLjN/53HF9fY625gf25nrWB63fZp17yhmH4p1bmYd7DQsj7Nvs1xOcejWnxOZ6W9zuVtbmcRr+2Qwz3fm9izP5uSbCPrRzp9G/9u+Zd/g/u3+YmOWKVmjf2xMX7mdU0zMfZltkwjznMvt2H7cF/3M/dP4nekSta0bZv5m3WJh1jleO3b86OlCNGiw7ehw0EAcHn0Q4oboKxe9IjRFMGflTcHUmU8gwNsOAvUI+X3WVfGyec8iq3QSPDkV0j4zRLyW46jT5lpvWaBQ9Et+vzxsOVILJB/vFPQunIOqRU+LuGwSk31ZwlLaOcKHE0bw6XqgR8lwSTtb8qvBxdffA85wD/pD8Ek63tTgE2HaFhRR7BdR7GuRIjehJdCGNz5pwxFnzEWP/L/hJ7+ejJffacWsGz60HujI5zJk55Xhrns/kn1xp5JfIIyCn1TBkzsbKfmTUbrXNNS2sv9xFgTfshDG408zaDDWJWhANSwiX74mhOnF4gUNQqGQJBG/hkOo8wP7HFQuvlyMlKKpIuLnos+wMvz0sGlo5MMf6a9AK9okq2NPfwCp3qni3ynIKqwxnmkQnQVhBQ2knL874XZ4CubAU1yBlOIyjKt5w1rH4AdvTzj2z/eIj+SPRaKgQclk9Chdgl65k3DAwdVILx2OlJI5SJX+8btj5qGNb1a06iutGWEOATG/eJvfpUdwnaLsgOxsQQNzkBfvCoqdhmZjDkw56HHDvLpoD274aS9zG7iZAzu3AZG9zm1w5TaYMsvJAWtnAgakMwNOszzObezlNCdsF1PIOIklCmzMvGPV2RSdziu6Zr/g9m4DYS6zBYBbGrPutEQDepKob2wbONvgfBR49u2SwAH9ZAtxfsbC9B/bh79ppoi318Xq02Ybx/KnKVjYr0zirbMx28x5DjHX0dhP4vVrG7N/J5PeJJnjtDP9zDyXJWvmedFcnoh4541ExGsP0zdM19WY7Rbr7wn7qtmXzD6WrJl5m75KVCez/twuWcztnMef07i+o74180zmPGn62RmMNumeQQMRM6J3RFCFcd34Z5DinSyiZRLSRUituP1TWW7/oWF6KiBexeSn/Oai+OO3nYIOBw14xV/8/ugLXyG7eHRUaIqAz86ZgrKZT1qiNhJoRMQfhPyHeSveEME9RkTrLGmXahGP0/CzP1RGL8SHIlaaXx29HJ58yUfyysqbijmLnhfxyCBBm3yKcuYtCpEm+fMawTof0LN0BDJEmHokz8NOnIGwiOhIK+8b2IRwYI3UqVFaWsSsX7YPtMEngvuulauRu+sU9MibgJLdr8Rrb69HiwjnhcveRFbxNKTmzkWP3Crcc48ckLzELoo5EAhhr18uRVoRX6c4ATm7jcL6TdL/pNBhPmNAxPlDT69DD96a4J0pgnwKxk97CqGAFNLPCobhk+5G8R2QegalKoGQlJPd0Kq/LIPUMyJKmoEIScc3SvDeDQZmmqVeex94LR5+ThaJw0Lh9YhIZj4R22VzXkB6TiXSivkcgbnomzsNsxa9awVQwrLvSLAFbeK3o097EKneCjk2xiN98AxkFFXgk6/bEPL5GVuQ5uQtCkH84bhbkFo8HZ7iSVYgYsKs96TcUmApdEj8cfRZt8ryGUgZVmbdQnLdpKelTaSs4kOW+c7H37aecZFaMsp6KGZO8Vysqgf+cumtyBgwHVmFN8nyKRg16XEEZDNfkG9u4HMjpByyj7D8Zv1Zb0XZEdmZggYcnNiiL+Hgoz0NzcYcnLqJH1N4mqLU3M5tQJxoYGuvcxv0OQeQpmhiXTsbMCBmudzK7Ua8wb+9nNZREpXFzDtWnc32oZnizPRbrIAQMdM528qse0eOETMQwT7amSt3XU74c6z4675Srn1xdtnTWM0haiegj0yBEK8fmf6LZ/RTrHzMdLH8yOV2GucxZZY1nni328x5HjCPdZrb8eyGuR3PHcluRxIdG8TM31nnLYW9P1oi4p03EmFvyzZxtpnpm474NFnsfkCL11+6EtNXiepk1r8j7W5uZxrzoLGPmsvdfB8LnuPs7dz+jrphlide/+imQQMRGyERHSKyrrruCaTzXfm7TEJ64QSp7GpJQDFmpRTjmdi6thr9zUXRbHZqOhw0oM9FKD72wpdIK7wYqYWL4cm7AdmFFZhS/QTaQiLwm0W0B1rQIi4fM+sxZBZdj4yCeSIa54iwnI3T/naLiNo2Uayt1sMIf3FcDfjUfYrfrOKRmLfoOSkX24vtx3f4S6uJmJRvaJDvP/1DNVIGzZH9L0W/oqvxxrtNCPjaRJjzSnyjfLag1deKt17/BKFQAF+sB7x7jURKbqWUswxXjn3Bet1gQOqyYOGryCoZj5SCOehRVI1bbn8D/lZLzUtezTjrvMeRmksxvEjqMRrvfiB/HEVoh4JNkiSElS+tQ+qgMin/XKSUTsKYikcQ8Ev9W4OWGH/nk3qc9a/ZOPjImRg39S00BJoR4UMarEgCYwfrpWeKuubbFqxgAvu3T8rWikZrpsElWPkCyxJAMNhsBUhC4pNV6/0o3H0aUoonw1M6Cz89YDI2bvJbaSIBBtMa0Bypw3FnPmA9oNEzmA97LEPPogq89ynXN8pfdNltuA3N8OOI42+TdHwbxgSkFpdj9Ix3pW1qpYzNViDiuPNulO1nyvpxSBm4GNdNftoqI3ycWRLE/c+9jZSccqR6J6N3aQWK95qIeinsFxtb8YMD5JjsWyNtPwN9djsfL721AfXSmG3STpypgKBUioGaMG9QcB98KEp3Z2cJGphXdzjAiScMiZ2WZmKKCueAzRSU5tUTc8DuNuAxB0Rug0B7ndugzxxAmldjWMfNCRiQZAdqJmZ5nNvYy2kdJZEPk83bHOyavjbL7dYGNqZPnFfIzDw6IvzZTma52HbbBdZtCgVSpgIcfPlivLxa/iZ2ANbLrhMt0XnD2ZfpaxqvsnKdKdBoXGZi9hHnOid2XqavzWBCIjFjltWkI2Vw4gxqmlen42GWJV7fNfOmT7e0yLX3RUuEWQe34zsWpgB12848XuP5pjOY/dsMEm9pkm1vYta/I/3R3I79hn52ntNY/870V/Ncl2xbm+WJt03H/7J0IZ0NGlBgUNjxavRl10qHzhPxOaTCevr7itvXSeKo4PwWS5VFv5L447edgg4HDUIU8j489uJXyBw8HGm8h73vDUjPm4apNY+LDubMgDbRgC3YEPDh938eh6yhI+EZOA2ZBbOQmlOJWTd9La6vF9uIgKT72XEiuospbGcju3Q4ahY9LeXizvjsAN6fT43NGw8YNIjg/y65B729S+DJvQX9h07DPy+6HW2hMPyh6LP3G5qBF19eg3GjboFPNlp+90foUTwcGaULkJI/Dn/8942o9fOefj/mLnoLqSKUPSULJL+puGflp9a+GbNowwZMr3oHmfnV8PS7AT0GV2H5nXLiCMt+ROwy/LT8obeRaj2PYRb4EMFR05+Q/igHfCSIxnAD/vSPGmQXXSY2HFl5l+L2la9IGan8o0EDgLc50Kfym4UX4RwM10neDaiXZfsc9E88+gpXtfddKRv7fbN8Pe6Mh5FeRN9VYvny9WgNSV4R+ePEtxKE6tEcacCxZ96DNKbhmy4KpqPfkCq894XUPbym3bVN1qswDz/ubhH9s5FaykBEhTXTICT1h9ShxRfAsX9dhhS+XrOkTOpyC66d9KjUQvYXZDDDj7uffg/p+bORUjgOvYZMRuFe12JTsFFq5sOMec+hR95k2X4yepb8D6f8eSZapB7sK77AaqmXNJgVJOItCl35SChF2X7QoIE7dlqaiTl4cQ6S7AEUP80Blikk3AY8Zp5ug0B7ndugzxxAmhZvYJUsZrmSzc8sT0eeaWDDgSj7F/MxB6SmuZXFXB8Ps3ym6HdeOUvGnOUw8+4I7CvOgE9ivsSKs3f5ZputY4fhqpVfWUOCZNicoIHbcUA/mX2SZraheZx1xGw2d3ti5sH6dAT6ywxKdnXQwBTYtrHfmz7sSsz9JMKsQ7wZYCbsD/Y5gn5zilpi9pd4vukMm9PWm0Oy7U3M+nfk77a5nfM8Z2L2qWRmDZg+o7m1mRvJlqdjZ94uprNBA7+ITpFmaBOh9b8rXkZ6wTJLvKUUzMDCG9aJmGkXYkwef6y209LhoIGIwKAI5vufXoWMgjFIzVmB1Px7kV1QgzEVj6FJBHWTCMCNwRBue/Jr9B46EamcFZA3C5nesfjVcTOwplkkcJjPBeCzB4CfHLIEnvyb4MlbIcJ1BirnvR+98Gw1miTg9wjvwedVcR9WPvs1sksuRUrpZKQOLMPAXSpRc9s7+FLE7XrZ94sfrsUfjp6Otz78ArIrVN3wBLJKrpa+sRQp3hvQv2SSiPtnUDnnKfzwpwuRXjIdKYOnIa30Csy7/Vl8saEJDaLrG2XbTz7fgPxdL0Za4WzpV5Nw+vlzJE+WJIyvNjXi9yePFaE9Q4T2Isl/AS4a8zLqA35ZH8Gq1kYU7zkCnkEPWw8tzBhSjsNOv1nWidiW+lO0wwowMNDC7zQ+1aBV0vixQdaX7ncBltzZJH08YgVAwpE261aNZtlk4c3voKd3AvY4eCHqGynCv5b1X0oWIseDQTRHQjj8lPuRkl+GlKJqKd9CZORNwDtftokvP5e0TbLNJpHpIfzhqIeQlnMbMkrmSTtMxuiZb7EE0tabOJkAx/31Nmmj2WKzkJq7CFdPfQStkbUIBesQEH+sWPkJMnKWWj7OKFyC/F2moyUUst5csbbWj30OXAxPzjxk5C9Cf+9UlM9+DXV0QaReKr1RjMECRlGMoJ6i7EDsLEEDwsGoKQ47ensC4dU5c5096DEHT87BvjlQchvwmAMit0Ggvc5tYGoOIM3vHExThGwOyQ7UTOz0NGddzHVO6Eez/PHMrSzm+niY+zDzMbdP1pz1M/PuCDye7O34PbkrwNsgaHDw5Vj48uqkgwaEfZBXte084vUj039ux4GN6S9uY2MeZ8na5m7vDPCYeZh5J4L93w4YMM+OCHnTb4kEN8tnBiZs43nReb5gP2T6jpgpAm1BT+O6eCTb9ibm+SlWvc00yeabLMzPzrujbc1tO2LmOSHZ44mY9U+U1qQj29npaIkwy55sUIwkW56OnXm7mM4GDZpEX3DK+uraAPY/qBLpOTNF2PGKdjnOOu9htLRJOmoQnnnt4IHyHTocNBAftoh4vWbcQ8guGIn0fL5ibxGy8sqx/28m4vb7X8Xtj3yIf19xPwYOnoheObPQJ3cuinetxPmX3oEvRWj75R+vlgfCPqxrAAr3FWHtLUdaSQ0yCq7Dxdc/LuuscEG0yeR/DBpwGn8ALeDdA5de8xJ6FJYjs2gC0rwi+HNuQs6Q+1G0+1LkDrsQS+5+Xvaw2hLoL3+0Gj1KzkWqdybS8m5Cz4JFUq5JOOy4KZi3/EP0KK4QIXw7MnOWY/cfTsHlIxZig1SS1+AjoTBmzn1Z6jlZtp+PLBHpf/33nfjfxffjxz+ZhlP+9ISIZNm+cKasn43B+07DrCV3o1EKv7Y1gn1+PAPpeffDM5gP6RwP7y5LUBcWkcxnF1gzEDkbhmJZYGXFGOtqlMWzFnyEAeLXvX5wF154/RO0yd+IoIjwYLAB/nAYa+vD2PvHEzBx1jPwc4Z/qNmaAcE7HfhYhc9WR1C6xwxkiG/59oS03Nno5R2HWcueQ2uYt2fI3qX9VzdEsPcP5yNt0Gxkl0ySNhiLs85/EM2hiKSJYGMjsO+vysUH4ue8CmTlz8RJf1uAJt5OIHnw8Q2TZz2HTD6XonSitOV49Cscic8/5xsoNsIXaEH14tekrSYhddBCZA+ch555V2LizGcsPzFAZB2fPFbZ6IqyA7IzBQ2IKfo5gImFnYbmxBz42DMWzGCEc/DNQZ+9zm3AYw6ImNaJvc5tYOocbJu/Y119S5ZkB2o2HLjb6Z1iitjraE6c5WYfswfMNHOmiFtZ7HW0eDj9ZWMKKXN5RzDz7gj2Ntx+eyK8+iFcZd2esC/OnvwAPmjiH8SOYwpifsYiVts44To7Hc3GXN4ZX5rb83juDJ0tg3nsJJoF5cQMoiRznBLuzzyP0XjMmucLsz2SNXP/ybYnMQMMyQXNOlc+2zbnvGjT2bY2z6vJmpm/uX2i9jbbuCOBqI7sw05Hi4f5t5fWkaB2suXp2Jm3i+lI0IBw4OUXlTR9+jsYNepp/PW8G3DUCYtx+Mn34pCTb8fhJ96HY0+8GxdeUInZNcvQ2hyOPnivc+fhHZpEQQN7oBsMBq0n+N91+yu4+H934tiT5uLQE2/CISc9gENOfFh8/gCOOWEFTpB2OPqY23DyH2/BX/61HCMn3Y37H3sfm+rlDyMnDYigtW7fF/vqqzZccPGNOOzEG/C7E+7H7098EIedcguOOX02xo5fiNYAn9zvl7aTgbbVeJzK34CQfOcMhZrFz+KA38xB+kC+vWE6CvYai5POWYR7H/0YLZI/98d2pzhetPxlHHDIFOz5ywk45a+LMfeGZ1DbErGeGzC2/AXsc8Bc/OhnCzF67HPYJLvhwxMD4WaroG2Sx/zb3sDuP5+Gnt6xGJA/Eqf+8UY88dRaPPRoA4p2uxq/PmYqLrj6Xsxd9ApeeX0V/FJkhgIeevhjHPC7afjZ0eOx6wHlGDp0ORoCbZZIjj7zrwl8C4gFqyn2yusf4MprF+OEU2bjmOPvx1HHrsTpZ12PUdetxCdffC7twFtypFwi2uctfB6r6hqtxwLwgYRhUfGrPm3B5Em34y//Nw1HnDAbh566GIeefAeOPPEpHHnCXTjh1BqMGH4/7r79K3z2ZRv+ecFsGWDcbaU59NQlOPLU26V9bxNfPIZPPwUuvuR+2U7a6YQ7ccjxt+GIEx/CESfNw/Vj70Gz+OqeOz/F8X+slO0fwC9OuxW/PeEBHCdp/vO32/HJO7WoXR/BRZffjd/Lvv9wyv343UlLcdTpc3HUaRNROecRK0hiBQxoeowqOyj2uTQeO1LQgNgC303Y2th1pTkxB/gUQRz82L/dxIY5uHQb8JgDIrfBtb3ObWDqHJhzMGwOwOMFRhKR7EDNxiyL21Ukex3NxBxM0p9uA/pEPrTX0eIRKzjg9GNnMPNIFrNeHRWLW5RvHoR4GC5f8d5m36BnCttYJNsGps/M/MzlzKujOEVNZ+hsGczbU5IVzTYdPU5NeO4yzxfm9mZ7JGvm9mad4pXLPH/GOyc76Uz5bOuoj90w27oj5TbbK1kz+5I5qy1RHzPPdx0R6WbdEgXQ7HSJfGD2h44cG8QMfsSaVUI6d9R2ER0JGvA1fPbgi6/r84nK8KEVLWiUk20tmrHJmtzdzMnsnB7dGg0Y0Ch6le9CPyYTNLD9HhQRHbA83CQ+b+Cd95bnm6xWiMpf6wq2uJpT6gPwIxihyG2x3mRAJR3xtyAU3ihf69ES8fGOdusPJa1Z8uB98LyqzlcyhsJtvEW/XUwyJe9/58Mv+bBAafVAEGtag/i0thG1QZYsWr5QpJGPXrCu5ofaGPSQLSWPeikXP63X/AXbEJA+0eJvQ1tE+hCn4vN1hTKuZ1+RXUu/abKm6DeHa1En2362MYyvG8JSCu7lMzT769Ek+2mTvsir/0H2M6l3RNa2+tZLPo3wB0JoknKc89e7ccRhyy3/sD4MatAHfLBhtH784G0YQfk/8wRaxWStdTXfL/uRXVi3J0TaH/Lpl4R+aQVZKsukTmG+Y0KWSRl88oXPDmgSi/rVL6WyvGu9wcAfkeMDX8rSL2RffmnHDWJfSFo5hsQJzeFmSVkv32U7MR+/Y6Osb5V09DTblQ+fXCvp1ls9oVbKwRsO+MwFtls4SH82okX8yPaNhn2kHWT/HK5y1oj8J/D/jWK8VUFRdjzsc2k8drSggTnYjIW9PlYac6BtzjJwu5pjDsDcBs/mIJJpndjr3AZaZl3sbc1BOK2zYtQsV7xBPzFnAtDi1YNmYg6CY/WtRD6019FiDY6dfjGDE6ao7ci0WZNk+pUTMwDl5rNtg/3KxY49wyAeifo4cevLbpj9xSlo7OW0zghD87juTHuY/dTteI1FZ/qOjXnsdabvmn3Q3J7HB+vTETMxyxVPeJp9oyNBTu6P28Yz06+sG5d15Ip7Iuy8ac76x8P0WTJmnqvincdMuJ2dpiNBDeIMoMU6lpINYLCM5rEVT/i7key5oeNHTxfSmaABoSihGOQ7/633/ssZl2ZdXaYoCkas18VZAtDajsKE1k788dtOAX2Z6PYE2+f8tAIwVLTySYHMqeXfmPy2XgyA9+WP3xpJxOnp0TawtuXU+bCIeb5hQRosIMsC0ggBaRe2jT2o5qv8rLYNRaXud5tNJDRvVRCRHw61gHEI9oHWYIvs9ytZ/5Wkl1ytZ+tJuUX5R/hWBUnLq/9tFN2Siq975KsjQxG+onGTlK1J6lAfrQfLiNWyvk6Ev6RnfXkVXzoV9+UT88vCUHgT2kIbpO81Sv4i9QONkqxW6lUXfbWi9SDODVKPDdhQF8Fuu4/B4uWvWPuw+jD9JVI6xCCI/JTSRoMG1qsIeXJqkCXrJM1XVn9mGpbFH9goZRPBbs0uYGClTta1iFGg+63y8EGUvJVBpL9loSAfjihZCvzkiwt4VwTbhSMV2cwKZoTFi2E5XriOx481Y0LS83fEco6UQdIxLduagRluy3gcAxwsQ0jal/ULyHLmzdc6hiJB+PmsBd5eEWmQOkkd2c7ckIms0IgVRhBTlB0P+/wWDw0afB9TZNoWa2BmDt44aHXCZfZ6twGRvc5tUBZrMJWMiOfgk4N05uE2iDPL5VZuwsGkWQZarP5hpjExRYubuOA+zMCMW1nsdTS2g1vgwMzDKa6cg+RYgYd4JNOvnCRq+21Cw0pcXtB1AQOSTD1j9WUTtospPpx9ge1qr+vMLBuznCxPLEEWC5bb3D5Z7Lp3VNyRZPbJ/h1L+JnHn9ux1Vmcx5Rb3s72dGt3nstYL352lGT6HduY/Yb76Gj9zf7G7d36C/3LK/6x/N8ZzBkEbm3OciQ6Z7JcPEZ4vnYrd7zzJeE2ZjnitY/ZDtymo5h9xK2sNt0maGAPuqKfX4ggqhXhQ0UjPznP2VIyfMd/qyUOLVEkv3hPPK9aW6qHiZk+mtVODf0YL2jA2xKYhn60BJ4lTEWI8r36/Nm+LDrNnmKbU/q5XLxuCU96nIEBkcOSDwWnFXQQi4pPBiSo/KVzirAFhSbFsHwNh+ul3RoR4CXz9mazvkjmbH4r0MCr5qKArVsfZBsKWL4SEhTv3ETEaiQs4tt66B8fzMfeICbpQ6LEQyG/1IUbMYDgt67o81WMfH1jRPpTq2TK4IL10AC/KO2glMcvItwvfUqKHeYrHiNSTh5bDCqIb3xiFNxBukUK0Rxqxf+uuAtnnPMINony90vh6Suus4IfUuGQ9Y/9VMrc7jvWJ/qF/Vn6OdbKb9Zpo5Rd6izF8YuDKdLZzbkd11sBDAYJGOhg3RgE8MkKbhD5SpbXislPBlQi6xDyyXIpP31nvYpRfM6ARwh8i8PXCEj5Iz6Wt0F2KO0v7RKSCvN1ltZrTcU33HeQheDUh6CkkzScDRFkm7NOUjD6McLoB+tF37DNxCxksewwuk5RdkB4HrX/fsVCgwbfxzkgpsXyizmodxu8JRrY2uvcBodmXZzbmlM6OehyDrbM/brl7VzP36aZ+7bNbXBpY6YzoXAw1zFv+pfl5ZUsc8Bor3dirreNZeHA2B4cm+vcBvCmAOA+OQg2fcrv3DcHvYnaIlmYn72NW9tvfdrwwby/4ux5b1mz8LqKZOpp+o9twW1MM9uH5tan2a5mf6Hw4f7s9uYn+4Odl/Oqs1MIcXumt4NIXG9vz/2wXCbcl72tWx+JhV33jmxjYu+T5obd/1luMyDG8pr+Yt26Emdwlb+5D+7XeWyzbE6c5waz7MnA9rG3jdXvzDajdQT2J3Nb9hfWi3mynmafjrX/zsC8zf2yfc39moKf353HCTF97yb4mZ+9nsb2Yf5sA64zj5NEgQAzbUeDP6aPE+2nY63XxXT0mQZK18FgAIMGZ5xxRsIBreKGCOVvIxoipMPw+UT+iwD2i1D/4vOv8M//LMLwUbehtjlsXbmPWJERUc0U2e1CX1EURYMG7pj50Gxh4sQclDpFBkk0sLXXuQmKeINSNwFkYu7XLW9zfTLmVjcTM60TW8TFMnMQ7LYfM61ZZzeLNWilv8z9xLNEbZEsidp+RyGZepr+S2Rs41gC0ilG45lbX6DoSnZ7Z180j3W3PhILu+4d2cbE7Ldufkl0fNHcRHtXsDn7Nv1J6+gxkky/c+6jo7APmdu7GfuTm3DfHJyi3s1iBQyImc7tnEqSabt4xyIxy9kZP5jbJ+qjHW+9LkSDBtsOBgpOOeWUuLcnKPH4btDAQr62tQbgawMWL7oZT7+0Fi0hoF5+t3Fmg3U5nZfZ5UODBoqitLMzBg1M0RALczATb7BvDkrdBmeJBrb2Ord9mFfQ3bblYM6si5nGvAro1qbOq1lOY74sEwfNyQwE4/mU25vlMc0um/3bzYdmeublnFlA4/5Zp0Qwf7OsTmPebr5Opl85SdT2OwrJ1NNME8uS7W8M4Jnt4TQKHe4vVj6x+pBt7B/sl87tebzZadyO11jYZe3INibmseMWCKE/YtWHdYnni64g1rFNs49vN1gmOx3L2VGS6XfmeY4+6gzMO9Y5g0I3VkB5c4kXIGNfitemiQJNNvRhrH24HQNOzOMwXlvHwgxcsL7x2G6CBpdffnn7UmVrwKDBaaedhj//+c8606BTfDdoEAyGos9wCMkSWeX3hdAaDMIXCaI15EMgwldHMmAgK7kJN1e3K4oivP766+jbt+9m/eHfnjAHIbHgQIgDwUQDIg4GkxF7HJTFS8d1sQZu9j5ilYXrEg1KnfkzL3MguKUGtSbJ+NROw4E8P03i+dquh9mmdnoONGNtFw+7HPb28QbWxC57R3yZjKjZEdhW9XT2gY62j7m93ScTbW9v0xE2N2jAvmn7N14ezuOro+XcHOx905d2e8Q7F5hsTjm5bbw2M0Ut/bI5cF/Mw/bv1sLeLwNGieprwn7TkTbgPjradoTpE50/Y2HOHEu0z+0maKAzDbYuenvC5kLVz+kCUd/Rh3xFJAMHXMTPYIQPJmyWlH4Ew0H55L3NsmW7qdsVRSE72kwDU8B0diDT3eHAz/YB/dHdsetC606YAaxkB/rdEbO/8bvyXWzfdDZoQDoirpQoFLO2zzo7y0DZcpjBsGTaR4MGOykUuYnenqDEww4aRLGCBmE+3JE/ZC2fAtj+lEHr7R3tQQJuwcc4tj/+kJsqirKTs6MFDUwBQ9G2Mw6wbYHBKao7AnZ70roLHBDbsz34uSNjDv4pjHfkAElHMe+J35xzq5mP2y0KyvexZxnw+NNAy/YHjwe7TyczC0SDBjspGjTYXNqjA/GwXlUgn4ZZswysf3zGwbdBB0VRdl52tKABB4d2XWzbEa62J4sZNNlRZlqYbdkdMMtLY/BqR8e8Ek7bnKvqOwKmyLeNV747C89rdhBqRwkGbknMQFYyglTZ+tj9meeOZNCgwU6KBg26GjuIYEYIjJ/WavkfP63/MWDAFYqi7OzsaEEDwsG5PSCh7UxBA4oVCrYdaaBstyOtO2CWl22xM1zlpEgzAwcaNPg2aMBzUVfctqG3XiUPz3/sgzorY/ukM7c0adBgJ0WDBl0NAwDRmw+iD0gMRmME1oMP+dYEvm5RTB+EqCiKgx0xaGBDsaaD6+4P73elAOgu9yWz323OVeXuzM5cdye8TaMrb9Wgbxk4oOktIEp3hucI9uOOBHW2u6ABxayy5aGfTzrpJOtBiEpXwCjAd409OWJ9t4MG8qlBA0VRHDBokJ6evkMGDRRFURRF6f5s86BB//79rUHSpZdeimAw2P4wOT5lXm1Lmvn2hFAo5JpGTU1NTW3LG6dxMmhAS01N1aCBoiiKoijbFds0aNDS0oKcnBxkZWXhyiuv/GYARUGrtmWNnH766fjzn/9sfXdLo6ampqa25e3ll19Gz549rVsUaEuWLLHOy4qiKIqiKNsD2zRowADBkCFDkJKSgn/84x/4+OOP8dFHH+HDDz9U28LGe1mOOeYYnHjiia7r1dTU1NS2jt17773Izs62/hYyaLB48eL2v5KKoiiKoijbnm0+02Dw4MEYMGAAcnNzrVsV+vbtaz3nwGkDBw600ritU/u+eb1e1+W20deDBg2y0tH/bmlsy8/Pd12upqamppacxTsn8+8bP/v06WPZsmXL2v9KKoqiKIqibHu2+TMNKFh5ZeXss8/Gk08+iSeeeML6dLOnnnrKdbna9+2ZZ55xXW7b448/jt/97nc48sgj4/qcligvNTU1NTV34/mVFu88Om/ePGRmZlrP9+FsA32mgaIoiqIo2xPbPGjAqysZGRnW2xP4QD7e32k/28A0+95Pt3VqHTf68rTTTsNZZ52lflVTU1PbQpbM364XX3zRegCi/dpFDRooiqIoirI9sc2DBpwmz8HS5Zdfbg2sYmEPrpSugb7m2xPOPPPMuH5XFEVROk8yf7v4IEQGzxkw0LcnKIqiKIqyvbHdBA0uu+yyuDMN1Lre7KCB2zo1NTU1ta1jr7766jevW9TbExRFURRF2d7YLm5P4NUV3p5gwYveIX7yi09++mBdo+GydgtEwvIRlMFWm2XBYAAhWe6XhK1i/LQ2Yha2WQskUfvHzg4HqnbQwA0Gb2gM5AQC4l9ZFhQT11tmLQhzwBsWl/rlZ2t0WUTaK9Is2walndhW0h4ISCuuke3rJUF3wSfGGgtSh7DULRQKIxhiXX3S5/yyoCVqrKTUNyg1DYpfLT+gydo0HpJSkkpPjgQQFF+yy0e4bUAsKF+kXyMkqWQ9fUxfcyO2HcLS98ObmI18N4ztgDqxZut3JCzllLJI8eCXSoTDsl4WRaw2rUOTVVbFxC9+CwXFYUG2Jft4tG3D0kbsEmwaNnnU57Ig7JNkLXLe8clyaUe2GWEzyQddHJLtoyZtwNXtSboH3z0WrD4qfSkSbJMfrfIpx3y7T9h1w9YxYDmx3XftvmS/EwtLooCs9smiNsmnTc4XAclnR8UODMTjlVde+ebWBL09QVEURVGU7Y3tL2jAsZU1GOf/rCGoGAde/Cr/4yBdBucch1IPcQAaiayRofgHsvpzGcuKGApaGUTzss3E+XsnJFHQgIECe7BrGX1PsWD5jl8oRmntfuYHVYP8F5ZGoXBiU7GdKBQs4+/uAlWQ1emiBEVE0izdKHVlcCBsBa2iwRJbWFp6ke6xhFZ8wtK/GWwJiagPicgPsl/TYZZfGXRoiH61DwPuu92PNCsegEaxZjEWIprmG9rLEglQqLZKiVrRFmqR46PRChpYx5DVSIpJW9gn/mqUPtwo/q6TNm0S3zVLU7RIMzSKS8WHdsfmCUg6hV/6hhWs5HHgZwdw+lX6jmXyT9IZXasbwPp8W2AGEnmODYjyD7HD231TPthVrd/8QZNNozGUjWIb2m2jddwEeSDJOuaVSFR3Z+xzaDx21KABX+27YsUKy1atWtW+dPuD5aRt2tQeiDXgMnu9snm0trZ+0x+efvpp6/fOQnc5FnYkeOzaPn/ttde6pL8xT86MprmdLxRlazFjxgyrH/JcurXYDoMGVDlURhyo8nfUrIGXpaDkoLeu7gWjV8FlHQeqHJ9acQZruzYxEWCWuuKKdvtm3MYfOzf0Z7ygAaFIJgwgRGcdBEQYUUBtEtsoVgtfpAWBkKyjBpU8m0Uw8Qoi5XBQhFZEBFYkJPlQDyfW0dsP3/QX+oA9jP1S/pPlPulerfKTsr5JlrVKEr/0RwYNrO3au24irCvXQpAiTHzHGTRt8tkii5vbzYd6yTVqAZr4vzlYK7+b5HeT7I6zN2gNzOnb/VtlkN/tvm8NbkS9tGGdrG/mDAUeQy2SJJx4RsTOBucD0I3s9xxktEk71NNkWbOsaxXP++Qc4w+3ioWtuR3RMw634iwPDgjFuQwCRaTvWFNzokg2VtN8u6QbwEJbhOQr50pIfdmt5EurddzLOUDOBS3ihWbpc4GwX4558YhYUM4NbVLZgKT3y3ndJ/6htfqlv0q+ETqX5wWrv+6Y7KxBAw5o7PrQOHDfllCoxRrk22XkAMwJl9nrNXCwedB/ti9pBx544E4hvJzHAn9vSehTDUzAOueYfj/vvPM2O3BgtqUGDZRtif23iefRrRWA3Q6DBhxkS+Wt4IH85uiag0v5HbFGl20IhQPtAgt49ws/7nhgPVbcswEffiIDU067DjG4wHxkpMoBO/P4ZqTOTCkCd24SBQ3sZ0vYz5lobg6gURRyXVMAG5va2s2HTY1B1DdKW4oGqG2WT2miRnFvk7RXs7STdVU2JCuDspKRhe4C+4s1zmeZecuFCEWfSHWpr1+610ap82rRhWvENkjVGCyxrj6zj1n9LDHWNHZJy1kc4mI0S7evl/w2Sn7r2m1jqx+bWvzid7/42Y8WKUOr9O9mEWZNciwEw3I8RMREunLmQnRquGRuiTApO2/daQIaWn24+YFPseyBz7BJ8ggEpKF4OAVkJ8p3aAr65AQsHhXX1NUFsEn8t5rW3iabmuU4aA6hniZttkn8yKBCo5xrKKAj4XXSqJy6LytovLeFfUks2jzWfIPozroD7WVnEIp9zBeSY74laB3r9E2DnBvq5Mf6ppCY+KYxLMdJyLIGWc80dTw/yPJNPGeINbSE5Fwd9U2kTfwjh86Oys4YNOBg2q4LBzQc3PBKnwmvjnC5bc71yUJhYObjJpbMgf6DDz7YvvRb7HXc3gmX2eu7OmhAP5lldxr7wda8irSlsetL8Wb7dEe/Faczx4LT7H6QjDBg3vb+xo4d275054THK/13/PHHf+OTzTme6P/t1bcsG89zZl1pPNa2RMCW+6MPzH66owdReGzRnzyOu/K8Rb+x7Zivs+3i/V00j/WtFZTf/oIGlpLhlGsZSLYLsLAMLEPWlGFO/w6iTgatz7xdjxP/OhN9hl6HjLxyZHlnoF/xCJx07kKsWi9ayJr6yvvyA9Er3d8IKWbK64I7N4mCBvYglwEDzji49/6ncM31y7H3AVcgf9cx8O4xE3m7TEfxnpOwyz5XYM/9/oVh+56Lkj0vwp4HluP3J96AEeVP4vm3NqEt3CJiStqUQqq7wL5iuYBBg1aEQnyGAPDEY6/jqivL8fPfXoL8vS5DrljRPiMwrfqpqGBnIumjyYhCIzkY53ryidcxeuKN+OnvrkbxviOQu8so5O99PQr3HIWSXYeLj4dj930vxC77/Qe/OrIc5/7vMVTNehHvfNiK5lAYfl7llX9B6xYdKQOv+DLYEQrh/y64VY6RSUgvHIfTz1+IlrCs5/MYrKn0iglDjm+99Tkmjl+Av/9jInbb+woU7F6G/D3HoGCv4Rgqtsd+F2O3fS7A4L0uxJAfj8AeB5XjyDNvQnnVK9hUK36Xc5Z17glLn7fuo5JM2/sUg0u8VaHbwOPAOhaCUnY/fJEQVj7zCiZPvxn/uXi69M2/oXD38cjfo1zOC1NRsvtV2OcH54udJ33279Jf/40he12KwXteg9LdJ6N42ATULHpG8vGLH3irjAyENWiwQwUNKMztusQa9DgHSLSOinIKAGceboMnDmjt9W6+tdcxnRNz264OGjivhMYylmFHunJMwWG3P0XOjkxnj4VYRnERL3hg9inmq3w3cLM5Yt/0bTwxt7VhfzADcW7GftOVuJ27uvr8uL1gBzvNurr9regMPK8nOv7jtZ0dJNpa59HtMGjAIXuTjLRklM1BNkWVCJ9guNWa/u4PRzB+1kdIy/sfehWPgsdbgdTiefDkzUL64JlIKxqHnxw8HptEo/JhW3xkoiVWeSnXGrRz8MZ97NwkChqYMG0g4kNj2IdJc19CdulMpOQtEt8vQ1r+OIyY9hw+3SADuFcbcNGIJ9CraIIsn4XMggr0yL8Uf7/0NtT6pQ3Zpt2FdoEXDRpEA1ZWl5SfvHC85OZPkVEwFenFZVLXyZhQ/qqslw2sBw00WbIwEZT54Uj7NHYGxUJ+tEoeDz1fj/TcK5BVXIWUgpuQmleJP5x8Bz74Cnjtw1bcdP+n+O1xc9DTOx4DCsZhYNHV+NsFt+Kz9WFrdocv1IJgqBlhzjIQgffZpjXILRmF9EF3IL1gKXoPvgob/ZxGvsaa2KN8F1+kzmpjPvSSV9P/d9VTyM6vRpp3KjK8k/CrI5fj03XAqx8EMXPJ+/jhwdOR7h2NzLwZ6Jlfhp/9+gZ8/Fkz/EHOIPFJv5AB3jfnH7Z79w0acKYBH6jJXu6TKnFmzGl/kz4qx3pKQZV8TsOvj1+Mj1YDX9fC8tPbonUefaUBF496BINKp6B3TjWmzHoRzXJc+bFOXNNMp+yw7IxBA3NAGUvg2OtN6+iA3nlVjcZ9O0k02LfXbcugAevCfdnmHEjydzyx2N0w/bojY7ZxrCux9nqa2Qfc+gGNy2IFkdhH7XTd/TzSldjnCvq0s9h50P/bC+xTZsCAZeN5lP2On/ZyWlcFDswgjGk7YtCAQT+3Y3Bz+pGNM2DA72wjth3zN/cXq+14jNtptkYgazsMGnAwzam98sFBtogoPo3fH25Bsz+C197eKEJpLnrlX4+f/KEC+x86EX12uQoZRTPgyRMxO7gaWYVXYkzZo9Yt220imsJWEELU0TdCcAceoSZJR4MGwXATWqQd7nu+VsRBGTwFy+AZuAiZpRMwYc5j2BgQISHr64M+XDfjJREP4+DJWYjM4nnIyL8aE2c/0b1CNRR51kCffSVkPc/BumVDfvLp+Y881YRUEZIebzXSC+djfNk7klRWUCCCzxxITPQhiNE75RFpkN3VoU328/FGoNeQa8V/4uf8m5FWMhO/O2UWGqQvt2I9miL1WNMcwRnn3SH9fgqy8mgjccDvK/DuF3KchFqljI2IcMZBKIKNvib88g9VInyrkCmi92eHTEOT9RyFWusuIOW7hPC11ezBcK3I2gCmzXkNmQXS1oVTkVJYhl8dNx/NEb+cWxrQHG6Utgjh9H/fgTTxbWqe+LioCkccPw31Pjn/8PaeiH3+kf5kdavoswG6DVawL3osRMRCnH0k52VO5mKVLhzxsPiG/pkr54ZKHHzSXPGLnN+DEev5JtZ3qW5tsBV3P7EaeYPHYGrNs3J+5ryY9Ro0EHa0oIE5WI2FvZ5mDpxiCSsnpjgygwcccHUUe1u3gaA5eNuSQQO3cnN/pm92JBFo+nVHxmzjWNjrY6XhMeEUgOwXO9Lsky2N3d/cjvFkoK9t33f1VfvNwTyOGDxwBhYpJO31tK643cncp9kvd7SggVlPZ107249MzL9bzNuJOUuJ5na8b+1+uR0GDTh6pPiKflDVRPjwLBlY8srW//1rEa667nF8uT6IpmAAzSJW33y3Fj/6eRWy8imyZopgnYJfHlmDOhmnNYZ4baxO8uHVvvbs44/fdgo6GjQIh1tEE7fioafWoEfJZKTkz0GKdz4yvMNRVvMI2kQTRdrqEfS34svGCDKK/yviaRlSc29Edk4lfnjwOOtZB90GijxbUUt/oW6iHwLBIAKhIB5/bp3Ubzo8vMJaPA/jpr4p/dUvxlswRPxHt4wLb7UJivi0pi+EeEWaDzpswycyZu4x+FqkFVWIEKMInYLDT1gEnz8stgah4FdoC7Zg9YYwdjlqLtJKK5CRvwBZA2fi0BNmY2NzEK3+RkSkrLz1oUUK89ZHm/Cfq+/Evy67A+993IRgQISM1MN6BaPyHSK8lUaaJRypQ4v0+8pFbyMtv0raWc4vheX49VE3wedrlS6ySY6JjdbbBR97fq0cF9chlX2isAL9i67EU6/xqRMiriMMDPH8IwmtcxpPQN3pJMQD99tjIXo88OGnDKQFcPF1d0aDBnI+SBc/HXbCHARDFMrSvwOtVpDB18DZSnVojjTggkvvwIyqx62HSIblWImIjy3f7KDsjEEDc7AVC3u9XV/7e7KinwMkextzcLUjBQ2IWbeuGKhuLyQjpncEkqmnvT6RLyj4zCDSjtQftjT2cdxZn5nnqK4Q3l2BecWf/SJWwNUsu5s47QhmEIL5mv17RwoamGKcfYa+Zf3MZZuD6UcGD2LNIrP7LS3WuMA+J/BzS7MdBg3a4RjLEvhh66ppWERcqz+Eihl3W9NjOdwM8EqqCLtQ0I9Hn1qNvnlTkFY4QwTrdOx5wHRsku0bInyVnTQGhZl8t4IHO/D9s8nS0aBBhNPzQ6147Lk1IlDHIr1IRFTeVPQquB7lMx+VNhJR4ZM0AR/qxdWFP7wWqTkLkea9DWkDa1C433BsaOKD+viawuiVVj6l3hfhc+jrrSuW1jTu0Hp+sZ7MzqdbBCQlZzBErOcKNMm2IoSlXXm/vvU2B2lLvkGDksZ61WaYW8lCyTfC9xPKoqCs55X/VvlO+cMU0TcU8Dpyswg/Ec98X56s9/mik8etjEN+2U4EuJSXT4D3iTrk/dx+2ebBZ76SvjZRhOQ0EUuVmDDtDSmXbGPdntBi7SMR1t0M/B9VJx0g9eHzCD4VF2QXXw9PnuRdMtW6/eGoE2+BP8AgAGtAEcqHIAbx8ldAzl5lSMmfj6zCucjIG44p816SfKQeFHVB8V24ES1StI3iv3rxP992YfmGgQPec8+pE5bv2n0lP/3ynXtq4ieXWRXiVXM55mQb6+GNLLL4wwp8cEOr1tHnjvAns2W3YJtZb2uQT776MSifXM7ABcU037DBB5u2yk8uor5qT279j/3Oeuqp7IZ9R0oQbU/uWz6tQ1vy4HsMrIfxy0K6lP3E+p/Vf1k98YdVqwRIWssfkpaPmJy58F1pg+lIZRCnYDp+ddRyyx+hgIjdIO+DAj76JIw+hVcis4BtUY5e/Wdi2X1voTHShIAVmJG00p/Ckm+AIlo2Yl+iH9h5QwzKSb9i/do7syyjE1h8PviV3mUNI+CVexprwrzof25r3eoi39inrNsrpK3ZrVn3UKhefNVm+Yel4bEQ5CsN5HdCrIagP/hd/pP8eU4IW+//DOCSEfdZwS1P4Uyke8tx5HGLEGxhAcXfgUY01vkxe/qT4lLeNtOIR1e+h+rqu6TszEdqZeUjDrX85LPqY9VXsmD5m2U5zxI8Lttkf23yyfa3+p8kpMtYPD+PT/FHq6zkrWmtkopbyVlJ6s+Cc1mdlINl4zbsRz45D0R9Yu+PzwAJSOe1HlTKjkQ38at84VNDOooGDdyx19PMARoHUIkwB8u8umYO5tzEN9NzoE9zG5zZ27oNBM26uA2KmR/z5X7drgTFwxxwu5WbmHVLZlDIwSjzsqe5drRc9vbsg7YoSLS9XX9btPDTzsNcbsLldr12ZJKpp70+GV/Q12Z6Z59kf2QbMtjk5ncbtinTsHx2X0m0DfNmGpp9HJn9386nM/3N7K/xykC4P7Os/OR2dn+zy2ZiH8dux3gymLcAJCqf7duOHEOdgfuwy0T/xYL7ttPRNgfzFg36mXWz83U7P3Yl3B/3wX3axv7j1t5dAfsK87cxz8Wd7Uc2bC87L7ZjLMzjnX3QDXMGxJboZybb9GwdN2hgwAEXn+LPz7Y23roQHSVag0YOmmVA3tDmw5A95sKTXyZCdQJO/tPdqJX1LZyCLeO+6FiP7wqvtcTHzg59mWzQwEKcSMG48oX1yPBOF0FbKQKqHD3FyqsflYF+WDSRSKHQJqypj6B36Qikl4qQGFiDHqVzsfcvJqIpEL1vf8O6Zsyf/whqFnyEyvnvoGLBU5g19328894qac+NeO3Nepx/6UocfvIC3H7/B2gRsRsS4RgKNKNNhE69dIGlN7+Bf/63CoefOAVn/Xsp5tzwPtZK07a1rZGiUqyIvBIB7/M1WwGCR57dhLLK5/B//1qA406twCHHL8H5V92Lx155X7SNCAQpe1gEIIMRFHNobRLx0Yr1rSGUzX8ep/9lMY44dgpGTXgCr77dioeebpG+NhqpxTOkv1Vg/LRXxKfiJ9k3O1tSXYzprc5JVSKfFCny8YX8PcouGS3+rYGneLoI1hk4/KSbRdiIWGfXF6FDrKni8nnsGbcjragKGcVTkFZcjj1/Mwstoh/b/AHcdc9DlmCbPWcdyha9jhmL38WKW1dZ9ZVGk12KiBW/BnwB6wn3t97xGS6+7Dac+kcRfydMwZ/OvwNLb/8MdU2cai/iVQQcb1VZt64F8+c9jTnzXkXV7Dcxe94HmL/0VTz3+mf4dF0AE2Y8hWNOmYfTzlqCabNfRGOzCLQ2CuMm8W+zJZaDfgYhmtEabMLbH9fj8lEv4vg/j8WhR1+Kf56/GA8+ugFNIp59kXr4mmtRL/nOmyP9Zv4HKKv6FBXz30b1osfwymurpGxN+OCTOpx35T044uQajBz/BFZvYJCKvg1abcPnUkTlZgKsdrEcbaWeueAdZBRMQUrB9Oj0+2MXQdwlfmuQZmuQPg+sfHYV+g69DmkDpyKrYC4G9K/Bc+99IVJ+gyVYg218IGur9P8A1tUHUT73OZx0TjWOOKYKl172IF56s07StqA+GICPM0R84mefiFT53Sr+fvfDACrnvY4//X0xDj1+Kv524c2466Ev0cJmlD7X6qtFQ309brrpUWnrJzFr1irMnP+ylP1lvPz6Kkusf/RlA/51+aP49bEL8NcL78Da9QwEsv8lgP4w+EYEW36SP6wjZODCoEFRJVILp+Gwo5fKYSDHk69RylaHV9/agMuuudPyJQMOjRv9+PhjKZP8ZmyO4pzPfgj421DX2IQbl3+Cv/5zKY46cSqO/+MMXDz8Rsxa9AHuf7gB9z22Hg88tREPPv61HNvi10AdWtuarHw+/DqIUVNexB/PlG2PK8ef/jkDZVL/+x+T89bj9XjggdW457GNeOMNziTh22Ha5Pj2Y2z1yzjx7MU49uSJ+Mt/FmHxba/i2RdqsXjx49J2cswFxU8MlskRyNfIdpRv/BWHnT1oQMxBuTlQc8McqHJQZQ7muM6Jmd5tYGuvcxsImnVxbsvBaqIppvEwy+VWbpLsQJWDRdOHTkvUp1gXs65O4yA31uDcTsPtWQ77ypdtidpkRyaZetrrk/WF2eecYjHRscD18foJ2y6ZvsjvPE6dbW1brDxsEvXXZMrANM4gCs1NhNl9O94xFA8773hBTR4fphh0Wjxh3xlMsZjonGmWo7PCkv6286DfncvYNluKeH2NyxPVvysw+15n+5GN2ffj+Y0BKjsdzQ2zDWIdN13FNj1bJxs04L3khIEDPsk/GgGQkToXi/FVjG0y6By8V6WIp1noPVgGmlc/Yg3vWiIbo+msoIGoSt6qYH3fuel40EDcKOLLChoU8OGTImgLK5CVV44JFU+gWRQBBYEfX2PZHW+gR+EkePpdidwf3Yr0/EpcP+kN653uvCrcVA+MH/8cBgwqQ0bficjdZTwG5EzA3IWPW8J1vwOvQlr/4ehTMBU//vkotEjefp/8T9qxXj4umfAAioaNwLGnLcWdTwJ5e4xD7m6TceSpy7ERX/IirdU9eKsEBeeoikUoGPof7Lb7FFx/zWc47eSH0KP3DPQaMAH5u58houYrKbsICawTEwEtlQ2Hv0KLiJnT/7EEvYsvQ9/cEfAWjsDAAVdhvx9UYfiYjUgrGIOU4hlIF7E0tuxl8alsvpWDBrwgfunI16Xfz0RG4VSk5k2yHqL41Ve89zyCe+99H6cf8ST6975Jlou/B47Dj/atACcHcGaGT8rri9Ti640hnHf+QhSVXoF//et5XHTh68gvGI8eA6dJO1yCv184BmsbfGgWodwmxqDExAmvYeCgK5CTX47MAWPQI+8yXDXxIZz+z3uR7b0Q6QNHI7vfSDkex+L//nOvCLs2EcC81aguOrkhxGvnYXz2dQR7HXA++hdVY/6KWsy/ZQOG7TcCxXuNw90vbsTa4CrpO2vBh+xPnfgi+g+ciF79F6Bn3hj0LfojFix7AqvlsP7R/tchs3SE9L2rkTHgLMxd9pS0RLQ96Neor2kJsNrFcrRr0OA3h8yx3iBqPbzSX2ft4fqKx5BaMhJpQ5bC471B/ogtRqOsaZUeaV1I5/0qIjxbfK0445zpyB0yUoT/+1h8cwtyikZjyH4T8cArwFrZbX2oFQH6hpNA0ILPG77ED35YiX69r8GZpz2Fe+4Ddtt7KoqkT6989C0Rz1IUqRbjQA8/uB6/+900DBhQjR7SZ3t5L8CMOSvRLHnt/4urpC3HYeDgaqT1vgwLlzwtQp0HSwLoD4PvBQ1G3gZPUXl70KACh58wXxbTQRvEf2swZ8lTuPiqFdLPuI0Ym0M+uGdrQof84Nsm2sRP/zz/TgzKl2N/wCWYXv0RVtzRhmG7T5S/E9NRWDQZ3sHXoNfAf6Kk9F9okPNIW+BDNPrW4O2P6rD7/iMxsHAa9tirAs88B1wx4llkD7wCPQdMREHpcDnHXIA+/SbjvL/cIPuUvyXheoyYvAI98i/DPvtXY+y41/CzQ6dg8L7/Q+8B5+Hyq5dbz62I8Jk4nClimQYNksEUn7Gw19tpzMF/IvHtvNrlFBJOEg1s7XVuA0GzLua23K858OP3WKI6FskM9kwREqtfOAfU/M5ym2WnudWPuAl9e3tzOevohr2e7eLMh5aoTbYP/PhqxYU4bPIL1hHfVZjCLhb2+mR9YV5hdorYRMeCvc42tqmzn9DcRJiZdzxxbFu8/mqmi9Vf3c4DZhncyk1zq7edNp7oj4Vzn7EwfWLWyTwmTOgHlrUjZgp+s/7mucmNZEVqLChe7XqY5wGWaXPyTQb2I3sfttl/A0yzoY+cfktkyQQdku0HyeBW7liYad1muZjl6mjguqMkd4baQnQkaGC/+o+fvOIjSy1haA1AZfC+odGHgj3HwZO3ENn5U/DE819RYsHPmQZ2nMEa9Mmfg6ge2KnpcNBA3M37mFe+sMESpxQI6UOrkJYzHRNmPo8m8bHoNnxSW4uDj16OrAH3IrO4Ep6c4fj1kfPx9ZqN4vY6tAVFdIabsMEXwu4HLEB64RykFpSJoJ2B6cufwnmXrkRG0XBkSjum970Hg3epRoM0Gy+I+tsiWHj728gqqoK3eCne+bIVG0QIjqx5RspRiay8WzBq4WPRtJHVMgRoE0H5OXJKp+EXh03H53KsNYuwahI759/3oGfOXGQNnI3fHXGf9d75ULhZxBofICh1iXyGmuVvoocI2fRBS/CDX8/BG5/48fwbdbjw8vtRvPv14ofx1kwDj4jxidNft/TQ1gwaMHEwEMaMue8gJW+6dT95RnGV+HQCHnxoLXwiPJsky0/W+JAzbDY8sj6rZBF+8ovZ4h/eHLJB8lyNlR98hv0PX4LM3PH479XPS91bUR9pQflc8XXJWGmPcqT2m4iLrnsyOi2ezxcJBFEn7bLfL1bIdjcjxXub+GIh9v7DUvzy2GpULXsDZ13wHNK8VUjNm4v+Q6px14Mfi1/42j5Re6KiQ+ENWFcfxkGHLkRm/iRcMfxBK6xHGz7tWWR4y7Hbb2fhg8Zm65WSbSHZpz+MH/7yDqT1XY7UQYukrpdhwqxn8b/r7kefgVVSxzuR7l0s5R6F0VUPoVnqwpsB7HMF/ZsQq12iJwm3oMHBx1TIuShkCfUGEeN3rPwUww6skP6wAKneGzFgj7vwwCNvIhBpso4ZK2AgaRtbwrjy+pvQzzsRP/r5fDkGgI2yrzPOv1XKPBH995qNZU9/jHWhejlO5DzX1oLVTWH8/MQq9Op7O/bY9Xp88ek66SbNmDL3RfTw/lfaciQ++0IEsPTbkOyvSeq45M4PJD/pl4OnID1vOUZXPyn7vRe9B45FVs5CpPa6WcpwC0ZOvDspd1j+MHAGDS6/7i7LN56imUgpqsChJy9Ek/S95mAz1vv8OPz0xbj0mjtEgPNBov5owCocQWuQNxrQ1dFbDqYseAm9i8cjK3ccTjxvsXU+qZUEDzz9NXKLpso5ZTkGDZuKU8+5G38Ta5EEITTg7iffQ87QCdJG05BVOAVzb3kTjVKuzza0YdgPZyOrYAF6Dr0Gh/x1BU4+6VlMr3xAusIGfPhlI/J3LRefVOCh5+qsN5d8Lc1euexd5JfOx/9dKOc1bJS0X0sh+XeDBbf+kHSInTFoYA9QOciMhV1XGqHgNgfXsaYAm8EF+8qdOWjiANAJl9nr3Qa29jq3gaDbwLwrAgbELJez3MzPHCzTN7F8Yg6gnflwm0SCwayj82qos672FUYTe51tLCvTcV/2pxOz7rHqtdVpegGTD94fZ897q8sCB6ZvY2Gvj5fGhKIo1jb0tb3c2RcIl7O/sF3MPsvvpuh1E9dm3rZRpNjtx09nMMHZttyPeZw7ZwUwvdmfnX3HrQzsnxR99Avzc+tPybRDLMxzTqxzM+tlp3E7HzAP57FllilZM9vUXO7cnxO381hHMINf5vbmcdyZfBPhbG9nf6Ff7f5kY5YpWaN/EmGWJZn08TD3nYhE52/zfLC55UpEx4+eLqQjQQM7YECjGPxGBHDgGWnAs69uQHbeBKQVVuH4c26XQbesFsEQ4pUipmXgQDbiXcFRObBz07mgAaJBg6LJIhAqRKBNFrE4G6eedyvKZ92Jv4ngL95rJnrlT0DBD2fg79c/iFue+sASRxERQRQHEeue9vXyB7kJPz1SRFjJRKSXjhfRuwy/OX0FjvhjDSqWv4iCH41BbxEiJ55+gxUiagi04b1P1yB36Aj0HFiDf5z7LNqam0U0t+CtD1ox0HstevW5CXm7VuKLz0PSQ9ZidetGFAybgex+tyJ37/9i1m03St/xWWKlbNY7yC6oFqFXLWL3Wjz+5vvSRfg8hehD8N5ZX4d+u1wnomuBpFuCeXe/gfpwvYjQT0SIr8P1U1eKYB0vwn4aMgtnYFz51p9pYCUWlt3Fe+6lLvkUrTORXlyF2bPfREuI4r9WxNen2O2gKdbV4NT8udj/1/PgE4Hk9/utZxf85ozHkFG8BCm5M7HPry/HV3Ub0CL1eOVdINM7XkT/jXJcPSQCa54lkhkeCoe+Ej+04bCzl4o4HY60okqkDLoO+x98OWrrWxD0R6wr4L89SspTMg7pBZOx908nYBMPXR7HvuitDv93yXKk584VsbkQX74tIjvUAF8ggDfeC6IvfT9wBq66/m4EWeUwp/DX4lcnj0f64LHSdyZLuUbj9yfdjSPOnIIZS16Bd7/lSMudiL6ll+Lep7+wfPZN0IDngPjaLYrVLtGzhFvQYJdfzsLE+c/g4lEP4Gd/WI4eg6aKgJ+NXQ9ciBFT78cX62vhD31mPb+AnZe3JfChfyvu/wB9C8qRmV+FqdPelPJsQDD8FZat+FD69Cz06LcQP/n9dWj0tSDik7b2B/DPKx4V/5ZLP5yBW+94D0EZyUr3xWtfNCOzdCJSc2fjv5c9Jee6oHQfqa34dOXLa6UflMt2M+UYXYyDT1+CY/44CbOXvIZhPy5D/8ET0Cvvcjzw2Hty7kzibOjwmTNocMXVL0rfuVH6F29RqMDPj7gFL73pw213v48//nORlL0Ml1x9j/iS529xCM/N0r/8fJ6BZMFnb7z7WS367jIWad4FckzOQ+UNb0lbr7NmitXJIfWr38+GJ68GWbtdgKUPPm+d3/nM0bo6oHS/UfDkLrQexNhzyAR83cT3Mkg/Ep+c/Y/nxUfSv0qmYj/xwxcb26Q3MHDpx8gJz0vZFiFNjrUbV4pIkLZowgY5ZloxevybOPvvd4Hzj6xjmQXll6QO7O+yswUNzAGMc5BsYqeh2ZiCw03wEHPwy30RczDntl2iga29zm3AZe7P3tYsp5tASJZkB7fch11XJ+ZV51j+jjeoNK/6xhpwmoKIA3Qn9jp7fayympjl5sB/+4CzDc5HgWffLgkcmH6PdwXQTkNLlljbJDoW4rUN29kU9E7MvGmx+pspcpxlMPt8rPOcuR+n35xlSPb4M4/ZZPqniVlmN5+SRH53wyxTsmYeK+byRJjnsWTLZ2PWzdnmpm+YrqsxgxWxys32N4MJZpAnWYvVl01MP8Q6VyaDeV6gJcLtb5CTjuS3OWzZ3BOQbNCAmAOvNjmxR2QgyTd1IbhWBqCbcMWIFy2RWbj3JLz9JR8UR4VAhSPGAR/HxrI9H6PGNTs79OVmBw0Kpopom4OfH16Nv55fg4OOvh25w8rQI2cUBuw2Bof9ZTHGzHsAb34m4ojqlHq6feDNWw4OPmapiDA5IZSOQkrOLcjfZxY2rAuLYI3g0/UNuOP+N7BOFEMbNsrgvRn/uvJuEeqTRXSNxZSZD0od1osAXYd1jX4U7nkOsgZNRIYI3zkLVqJZBPhHqwMiPEcja8Ad6J1fA+/QC1AvfaY5EETNsnckr+tFlE9CSul43PTwR1Is6RnWnPAwxlW/gmzvdBHZU6VfzcS7q1qsKdUR6yGEwKNPtsr2E8UHfD/9dEyoeJXdS7bfmkEDOSakR9/20EdIz68WATRfylslNgNTpz6LNhFl/FPK1Hvvf5sIq6VIzVuCAw6qkt3Ivrg/WbnbQcvRe3ANMvrPxIB+M7HyvjrrPv13vmhE7zzxT74IttLhGLjLSKzdJDIqxKuum6wj6cgz7hRxKm3IWQx5k3H9hMet51ZYii4YwpSK55FZMBEp3ipkisC/fORtfFGE1Qc++bIRfQdfKWJvAfr9YCFCrV+KqFwjZWvBqlqgX+l1yM6dih/8pFz+KLSIW5utqf6HnjwfaSK+PQVVyPDWoGBYOT7e4JcBXhBfrG3BfQ++hQ8+bILPemYDVTtPFvLBZxskc/Rb7RI7aFD44wqc8d+7cPgfl2GXH1YiO2eK9LtKFOwzA38+fwHuffxp6cMi4sUFEZ/0Bf/H1hynXx81D2l5s6XsM3D3419KmdZLsTbiiefrkT2wCj0GLUMf7yg8+ewqRNrCWLumAf1KqqUP3Ijeuw3HWr8MdCRT6u61Ytm7TYCnZCFKflSOTW0U4D6pXQueenkDsnI4s+QGq38P2mU4Pv6Sr4gEPtvYjFsefhlPvvqBiPX27poI+sPgm3Ox5ScGDZ6TfrVYzgmVYjPQf8gk7P3j0cgtuAi9iy5DVu7NuOya+6V07HVScHFtSNrEL9+t03IohPlLHpfjTQZQIvAziubgrkfrpGzSXtKGPvHjGWeslLyXIs07GYf+cQr4XAz5C4KVj36O7MLh4ocy6aPTMHi/2WhoDVmBGj6Y9JqRLyM9Zx5SihbBUzgb85Y+JdtKu0p/+PsFj0l+syTfycjd/VrMX/gRAkEe543YtKkV1wyfhdZQ9BYg+zC1zmEdxPzbFYsdIWjAgZs5gKTFG0Sa6WzMwZTblU5eQbTXm4M2czDnNrBMNLC117kNBJ0DNnOgvzkBA+L0VzxjOdyuoJpXZd3W25hCzsSsX7wpumY6Z53t5bRkAwAsqy1Q+clBf7zybzXCn2PFX/eVcu2Ls8uexmoe+52AbWsK8I4eC4mItU2iYyERZjs728PMO14QxAwIsd+ZmD6Jd+zY/ZrpTcwy0JINAJjbMW/202T7mznjJ5ZPneeuzTkvJIu9P1oizHbtaL8w28JZL/McFq+PdxY7b9rW8Gk8zD5Ef3YWZx9OhNl2sXzckfw2hy2bewI6GzTg07CpA0LNFFt1+GLdBhTsVoFe+RNx2yOfytiOZ3mO7mgc8cmHMWbr5N+AHQr6cnNvT/AUVyBVxNLEquesadGcSvxpXS3O+vud6JOzXMTrWPQsnYC+3qtQVvWUDMjXSD7rLCVGwfKrP9yErJJxSC25RITxRPzxghthKZsQnyLfEn2AXFCEosiN2kgbhv54oex3CVKGVOHamS/j000N+KKhFa+v8aHf3hcitXAmUgpn4N//XWyJPT5n4ZoRT6Bk9+nY71eTsOjOl1EvXaZBhMBVk+5HWslkEVYLkJJ7A266i7cmROvJt2wccepjSB84BxnF18A7bBo2tkivo9gVUUHx8Ph2ETQQESY7venuL8XX00RAzxKBz5kGFZg1+yX4KcyYpdgPfiICUtKkFU7Bgb8ZLVty8neD7DqCG+5+FT/42SgM2XUijjvuJtSKT5sCm3D3U8+jV8lFSCkZAc/gyzFg8GisWR+dicFYHMXUMac8K3lSLM4Xm4Nry1+znnzPcgXEbrivFqm8Al1Yg8zC6SgadhmaOK1c3DT3htekL4kYL56B3J9U4ZONtSL+W/F5PfD0xwH0228MUgvmoYeI7Dc/C8Iv2/B5FYcffysy8uZKXXlbw2Scee49lhAUeSc7/kzczwCDFM56k4X8kRGn0bVB+c6ZRgmRtPGCBr8+YrpVDt4G0yQOfuj5tfjNySJoC6Seg+YjXcTt0X9cig3Sjnw9Jm/LeendIHoUcmZOGVJKR2LFExvwWW0zPhZxevNj4qPiKdbDRdMKKzBl7gtokt3fdOcTIrg5W+AW5P2gEu/WvoM1Gz7CxtoN+FRGsr124eyRavQuvg5vfLDGCpDwQZPPvvIF+uSNQboI7JTiSTjmpAesmfURrJH+EH0bCG9OsV6TYXeleNAfBt+ciy0/AVdct0KOOzmW+CaRohn47QnL0CD+4QNRpy9+EVl583DZNfc5ggZ+KUur1UzsoNMrHkDPQTOk/rOl34/GyufkXBHiQ2wbrADjuf+52XqOSmq/5fjRz2+Cj7c54Cvcde87yPZOkn0vsh4Cupf04zapVyi4UcpWjzFT70XqoOuk3eRcVVKNcRMfwP+zdx0AUlVXG1g62IDtuxR718SW2KOxxqhJ1GiMppmoibH3Ru+dpfcuFhCxYkcUFXsXFUHp28vs9Jnv/747+8h1/mm7LHXn08PMvHffLeeee/d85913H6cxsz/OkDEKGnD+yZuHFl2mYa99R+NXx8/EUws/hp968Xoq68aJmikbChk7qi+26isB9oSggU0U5GQme0bUSSux4Tiokug8bMJuk1PbCYvlECdzbJ1zsRxB22Gzife2BgwEu14qR78dUVvt8iRy2qOJjn1ebYsndl52vaOJbTyxda/fNpzjkvpARMvWbyz97xSYxxRyWadcnHn3bLy/UX8JUkdjjYVEiHeN+sY5LjuqL+z+iO7nVPOWjTrpJA7s47I75RdPbHu1oXPO8frai/rBnl8SBT5sJNKJDXssqf7J+n1b4ZQlSQa7DfWxC6V1rrPv5juwzyfSTUNgB2Kkz52NbbE9G3Y+kmRIxf7qk9+2YPvmngQNDRqYV3WJm9Fz93lddCifRdvcXhgy40MSC3qkIcPujEO7Vej+pfE/SJfbshFic5KVZiRAbXNGY8SE11DtpltNtugLrIWLfXPUL8aidfcH0CJzBNrkPYEO2ROw6NnPESJJVVfoFYCnnrOUhHgK8xmONiS8vca9xG7jxTzPosi//SQNCiCQ7pDfthcxyZ9PYjYD3Y+dj9N/tQC/PHkRTv71Ihxz5gwcdfpCHHPOGNz633fMzurB0Eb4g26UuD0oJuOX+z/nqQ9w+rnj8PNTX2U7SHZI9Frm9sNjL6yixcioSMxDbhx88my0zJyDjMIHUHDoRJT7SSBYJ+AbSglef3PnBw20EaKuHjf7R5K2kSRco0iyx5kNGl9cusZkF1Cl+P/RJ1DPhvhOws/YNt1pVV56i4FXS975e3NNDcrJ5pd/vAqXXzUXJ532IlrnTCQJHkPSPxJ7503H2i1smarLCzz876IrXuN53fFm2V2L8NCYjxVPMBrw8r/n3nGzbgN5fox5jKNL1gh8/XU1z1Th9j4rSIgnkSwPxD7dinDcaU/ilLMX4RdnzsLJ58zHkafMxZGnkSSeMRErv6yEP1zCojfi13+YwXbSgVUgouBB9B78coTMSfXh9Qh4I8Q0bJY08LsaqvaSqGqrzqRQXgmCBmefP9+8uTXs1+ssy+CmvXy5yY39DumJjP2ns02zSNin4IbbnobbVwZXwI1B49ajWReRavVRTxx+8jT88pwZOOWcyfjF2dNou7Nw9K/m4ogzh2LYtJeg1wDeO+hVji+S2uyH0D5nFE44exRtfjrOOH0azvzVeBx/+lQc84uFOOWUOXjvnc16wyH0FsXl729Gh8zhrINsogh3P0xypehRuIpq8EGvD3VzHGqMGQNKBunDwta52OhJexo8yT4ewbZRP7TBX108jWVwbuaYq2WCv9y0EHfev8RYrd5YoL7xc47284gxedrSq6+wzp1molnmIyT/07DkpRLWr5oXeMzWgxf+dR5a5fVH26xxuPTKJZHmcER/850XHbNpf53mU09T0ePIEahh3ygwoIDEHQ+/gdZZRawX7azzaDy65NXISphwJTZuqUL343qyzAkc59PQkrbUsstMtGN+d/VcisracqpnSyQzlqfgpd+sGakftuorAfa0oEEqbbDT2rDzsZ16EV3HKdenDdsJi+UQJ3NsnXOxHEHbYbMllgNdX9j1ilVvQfW1yYi9jNZ2qusjtg5inU8m0Tq0z9UHqn/9SdyPWHjtAT8pc/vLubjvlfUpTZdC9PLoho6FeIjudxvJxoKgsaQ6xrNtR6L7OZW8Hdj5OLCvr4/YsPOoL3HTtfHGUiKkQtoEBQmcdI7IvqWr7XGX3C4nGVJtgw17zo1H2u05LNV8U8W29PX2QGPVR3p18pEkQyp9V5/8tgXbN/ckaGjQwPCsIB1KEsqnlnyADnSObx/8HTaGqxFwkXHpDlodUTBiLpDLyk9loZ9NHNJl/YIGej2eD6++uwWtcuiEk0zqlYttM4dg9ARtPkjFeqnzoO7YBzBg7OvIINFplvk4SdQCNMsZg99dOxceJvGiDJWUUy6dRgIlQsr8Ok/D6AUf0imvZBoSfhIakYlwsIY+ewg/bAY6dLsDLTLHYJ+8MSSKC8xKBL2P3huqIlHdyE869ryuKlhlduc3/MQTQHm5H70HvoL9j+iH/IMexPwXP0fR418bct2ycDTakiQsev7brWahJfA5J/VBi6wZaN51KLIPeBLFPr+pUxisCLErPJ6goIGf190z8GM0JxltljfE7Gewz8EDUMxq6j3/IjraOvTIk7QagOQqbxrJ+OOGlHpJx9zYBL04Isz+WL1pNf7yzxexb5fxeGD4u1ixvhotuvVhPabx2iHoUDAZ35ZVmRy9KEUNrz3/yleRkT8UrbIHY+/MIgwY8iELZuVMVMKDFW/5sG/nfiSvg81+C507TcaX325muV/jXw+sQLOsWWidPwyZ2fOw0aW9KKrZpmKqohYef9j0qVfr/EM1Jj+tKDjzd8/QnmaxXnNYdj8Mn/g2i6StBDwsNmz6XrFDHztMqwsiy5JYJy0NMPpOAtMvRtExgwYn/Wa22WBSGx2GwltohxWoZRHX3vgU2mT1RpvsYdTzTHQqGIWScj0w4MPNvZZRB9M5FuaiNeerWYvWoprjScQ5QCPWKgovzUDL4bUhJ/we3NjvRbTtUoS9uoxD+y6D8f6GyPs9StmEauknvInXcs4L1PKaUla7kq0N4bUPNkXqoPrmjMXAia/SdllhKiYQUqgnsqAnECrjdSVqZmJIHxa2zsU6Trn7/pXsR47x/PFoQVs4/3ePRAJsPFcbqMCr732Pu+57ii3VtfyX5wLsk1VrvzZ9FeR8XcO549d/JLHvPpw2PxiDJi5jV1E37IcS6qbwxIVo12Uy9uveG0vfXY9aPWpC/Wlvg+tuX4x2HNcZef2xF+XrH8M8H3l/w7lXPErbLEKLgpH47X9XoqSGGlLMwB1gv7nx2qcbkXPCDGPjGd05F3Udh2b7U2+cE266ezH1Q2VrSPMa7Y/jx3r+qB/sv13xsKfsaaA7ifYdwkR32pw0EhvRDpVzZ90mYtH6sZ25WGQmmWPrnIvlCNoOm/18rSSeA5cq7HrFqreDaBLqwG53qiISYyNWmkSi66MJkH2+PrB1m/pd2Z0QNDjzbsx8fyNn19Qhu7XbZ6+MiYZdViqw7SGazCUbC/WxmWj7Tpa3DTsfBw2x10TtizVe48EmwPqMblsi1MdOo1fPOKIyo69VHaTH+ogzHwp2ACRZe+w6pdp2e3WRytZ10WKnUSBVx6SDxoDycvKuT19LR9F6SyYqKxkaWp9YcPKRJIOdNnrudWCn2Z7YvrknQaygQZCupTax0h7rxr+nUyn/Xd+1GWKATpxIpF4h9vm3LvQ47D7c+cDz5neIhC1AR1CbuBWTgNzz0DR8/6OHecn1p3OsjMQFEvtvTQL1DhqI15LEvfbBBrToeg+aiUzm90bbvKEYMe51OtQ+5lkBP0mMCMmcJ75Cx8zRaNPpMWR0eoSEcRZO+PXEyIZ2YRf70YtfXiwiq2eKZ6Fd/kOYOesNc1PP9E9d32sZcS37bTOva59/B1rmPEqZjIuvLYI7UI2QpzTyHIIce9bPT3LpC3pJkopZHy8+/KYKB/9qMTIKJmKfvNuw9JmvEfT4MHfmemTkjEazwv5mI7RFSzaQ6PjJ+T16dB6HnLCIRIIkL28qsg/uhSpxK/cWnt/IOpXjtXfXRZ7BFhHMHYShY95ms2iEZkDXoJbkTzbrEyEUSQpuitRRtI/tkxpE6HnB1rZGdmcPYB0Jf/t8Oqck2c0KJ/JzLM77/WPmLnLQX8Z83UYvur6K155/GfWXNQIts2cgI2sULv/vE2ZVhVtRk7D2YKjEUceR1HV7kIRsCo45dbzZjFJcOsR/iqtc6DnibWQeOhetMqfj/gdeYTuD+G5NCdp2u52Eq4hkmOS1oD/WlCp4xCz9kWe9L7zyeRItLa2fjzb5E9Fr1Ks85aEuWUfm/9IbLrQpoL0UjiF5m4rCA+/H2nWVtBEXbh3wCpp310aYg9Gmy3R89PlL8HlNpVi3IIK1VAqboFdnikgHgpUcyW6cddk0ku9BaJ43Fu0K7sbY6S+YeIvZlp86irzHQ69a1WMK/GCHhsLlxubIFSlu5rWF0wGF7VA/sTRew77Qh+4mm3wq+bEBE2a8x7oPoB76si+G4bRLJ0budKtQBSipCPXxQ4OfRcfcPiT4s6iTSeyT/vj2y1pDoAePYx6Fd3Ls9KauxqD3gE8QCtaybM51/iqzOMqrp0VqWF/ziE4Y/fq8gXYk/83zZ1CHD2P42BUIeFwstxpeZqogg+qrfEIad9R7LS99bWUl2mcOQev9nkCr3AEYNG4Zk8nIFGg1jY2IDikIFi6FnvTilIlaP8dAaAP8/m84TtjHPo4lJnQuMbECXqc2STSl3tVzCcfBKOpmGprnTMDZv58Jt4pRWl5QWenBgMGvoCqoTQgV7FiN4pIq9L73FTNc1OUK9pWUuHD1P2Zhr6yp6HHUHLzOP9CvfPchLrp+Elp3WoS8Y4Zg9tOf0gb41yFUQZ1vYD+UwMVmzZ3yEo4+/lES/2n4/X9m4PMKN8Y+8Q727no/sg8agmHTXzW9qbEZDPEb7V71C4Td+G7jRpx/5WS0znwMXWj/7TtNZlsmokW33vj4O04GYXYM9aRQYP3XGUR00FSCBoJN+hPdOXbSSKIR7awK9h1p23EWbGfOSW9Dx5zzsZxD51wsRzDa2bbrJqc9nhOXCux6xaq3DSedxHHK7TvOqktDYOfbUDQkD7vuu5q9hza+iPvM4wlH4tqhL2BVjZks6w17LCQiGU4aSSqwbVDfbSQaCxo3NtHUtSKy9piItncbifKOhpNO4sC+vqHLze086kPc7EBLogBOLNRnnDqQfdv9JJHu7bnL1nWqYpdvX58smGHnET1/xkND6udIqmUkQkP72u6vVCWV/Btan1iwy04UZLHnEEk8pJKmMbB9c0+CWEEDuad64tYQE83Tcj616z4dej9JgJ/EwBXYgs21Xpx4wS341wOP4ZtyYIPLjxKvF1uo4C/WuXB7zyfQ49BrUM2/536twZa7Z6IQgn43bTQkaCAC9uo7ZWhDh7p59lw0y5xNcjIHw0aviJA26lokoorkfczcl9G6661M04eO/EgSvAG45C+PRe7yMS/dYTzp/EdIoLQS4Wm0JoGfOvOjCFcTUxThZXcF2HcsFpX8fuQvitAieyxJ+mh02b83vlnj0w1ZdmuYBCbINgVJpIIkJF74fSFUV/nx8zMfJNkbQNLaB/98YAmJFYlaeBOmzliJ1oWj0bzrRLTMHYtFT5fA51/Dkr6lnRXjt9dOQ8vCgaz/VJLh/lj9PWvhV3CCRIrtfHHFel7H89rXoWt/DBzzBkkyCUZQ9zdpn5VejCp6BXc8sAhLX19vyGqkcSIgftMm0X5z0Ng5/zGbu3nxYwnQtqAniRjJeNcByMgfjPN/P8vcjQ6TLJnNGkV4aNMvfRlEm259qZcitMwch84HDsCKz8pJzKgTkWaSI2V9xM9eNKsWmuU8gSNPepRkidmwHVqp8e9bnkKzfe9A624D0PaQh/FtMQmpz4dv17jRmrrL0H4F+43E3t2H4evNpE5ackECqDwuupKEkaS/ed4M5jEE/Ua8TVKmx0pIzsJeLHp+Pdpr08Is6jNvHE4/dzj09IBWo0x69GO0yO9DUjwOGV1m4N57VqKa5Fmc2cvzQRJh7bZfVe6G10Pyyu/i6GdcvIj5zaTdLGQfjMCoycsN6TTqlC5liEbPXkPmy6rCGFL0Em57eCGeXbbG5B9g/cIkj9poT/qJPJrCwp2pgV2tvPQxbuo6ZHSegua52lxwFk49b2Fkab/mlXA1u6IKNZxb/nbfI2jZvRd1TDvNm4P9Cu9m3al/Jvvw6zA6dO/D60cxnyn42S8jrxJV8MEdrObnRma4mUVuQVX1BmbtwuzF7yKj8DYT6GnG/s3sfg/WsU9UVa2GCXCMuAMVqKp0wU3Gr+rQMvDK+2vQpvAGtMjRHhaD0X/sG7xEDVMwhW2UjiQcL3rkaM06L3oOWYq7+izGyk84DgJaLVRixpSCUyaIJzEQAdZd/hCHAs/z886Hn6X9qY6z+DkZv/7ddLPoSONRe5NoPwAfiw7qkRbWW8GOMUUvYuSop1HNDtXqEg8HVQ1P/FDlwZ//MxcXXfoM/nTZq/jzFc/ivzc9hQmT38APxV5zrYKXejxEQQt3sArV/PtQyXxf/XgjfvHbvvjTNUvwx9+uwN+vfBMjR76J1T+4jX24XQFzTYDzhezoxRc+QsnmGrbDi2rWbfiEV5Bz0A2cix4y+2VolcachZ+yQI3LMtqIHsmpP5pa0ECwnc14cM7HSiMH2DmnYEEyZ80+H8upt51IpY2Gcy5W3nZbdK2cOHs1RUPJj2DXK1a9bTjpJLaTaR9vCGwSmch5TYSG1MF+DCVWn+w0bN0I8VzcvfAr1NQdbii2dSxEQ2TMTh+tu0Rjwba3eHNMtL3bSJS3jejx6yBVApQIdh1ijdd4sAl8fQN99Rmn0VB/2fOFfX30yqVUxH4sym5Tor8ZdoCuPsFF2xbqK40RNGhove25JVVJ5dGohtpeLNi6TRTEsoNd8cq0x1V99NQQNGzUNhLiPp7gOKl1jm0wVEXntBJuOm9uOqAV9HuPOplkr/NgdDrkCeQetRDdjpqGrP1HI/eguejSYy5a7HMXrrlhHp1S5iF/mc6iPEY906sQRFNHvYMGuosbrsLr76xFx9wJaCHS1mkq2mZOxAiSNq/+tAbpnPvpgDP5VXc8iowefaF3t+sRhNZdx6DvmPfYj5qsa9mXITr409EsdyrJcWSZ+bi5K9k7Chrpz7RuuUbqqe6rCYbx1+ufRGuzm/84tC+YiMGTv6Yrrze1b6YzvxE1ZFLFW4CHe84xpOqVV35Au+ybSTDHkhCPw9/uf9NQyRoShNmPFPM4J9yCcSR5A/DEcxtJwkpJwlazUA8GjHoGrXLuJRGajxYFo7FIZJOkS+0s9/rw9PJNaNuNJLJwAjK6FuH+Ie+aeiqwpbvh/YevRNsuI1lfvX3hTqz4kC0zNq1ULjZNhEoN5E8jMlCSZJawphRo0/WhCMkn0dYr6377x/mRzf5015OXecljaqnK7uc8jWb7jzebH7bP64lrb5gLj/ivojc+N00+YJZpH3LCo5G3HORPwVGnzorkxSTVNSXoks/xojck5I5Ci8PuATmW2Zdi9Y9ARseB1NMs6m8W2haOwqebwiSEPhLuarYghN9euYj6GWxeq9i2oBf6jnqD5esBhmJ4QlswYe67aJM1nnlMoc3cgxkLPjOkV+Pxs2/dyMi5kwR7plm63+PoWfiexlNKTW8ObaaVVFIbAfTp/Th++EFj12uChmdeNhfNurK+qnfhYAyb9hqPa7KoZL2c4e5WavO+/jt7v8+5YiRadZ2Izgf2xXufq49IegOeiH0xTSRoIDbOD716k1C3cKrB2Blr0Mps9qiNB8fizN8sMItCFJgIBDYyrwC28NKfXfQk2zmHNvM0OhTOw+kXPMz8SddJvLWx4dFnTKQ9zKSuZ6BjwQA8/eYWbGI99bBOJec26fzVVz7H7JnPmpI/X1+Dlj3+RRubZsbIXj1GoO8wjjUf57BQCYmuXkEJ9Ov3GNZSl2F2qIIDr320Cu32/zfteirHHq8peosaVWu06qRG5hOZAWkjbtbt99csR9ucoejQrQ+6Hz4UG9h86TCsMaiE+qGLzBfZbg2/kcBzPpW67uz1onn0pFkO54Xc4fj1H4qM3mTPYeoyGFaGX/H3D7Q7F8pYjcOPGYLJC14z4Z3I+oMNqAlX4PJrXsFV173AEtTfnO21/IJ9Hgz8CF9tZHNDEwFgAZqStAqpjHV8eqUHhxzfE08t2Uid66SL52vg9ZdEytduimT86msPx5rsf8KEpXj8EY5bZucLqM+LsfTTL5H9s3uRsc8s7L3/AsxZpKABOyYUWZlgur2eSAcNYsM5Hy+NvbLA/h7LwUpGZmynP5oICc65WE6Z3RbnWjmzNtluaH+lSkZsEiaxYROS+t5BFWzikqgOieBcL0kVdtvrS+K2H5xXLtZvD4NEsPUbD875RGmEaAIay14TjYVYthyNRGnsvGX/8YJMNpmNJmP2WE52dzwW7DrEan882O2qL2ziprbVF/b4bcj18WDXyw7OREPzU0PKl71J34nE7uvGfjxBcPKWNMReGhNqm1OX+theLNh9kigve/6wA0Y2GrNeyVD/0dOIiBk0kG+lmdoR3SkNy0nVYwekbP4wbntwGVp1uYvEcRSaZ5IQFoxHRmZftMoeiLbZE5HRZRo65g3CqOl6Vz2z0C1RcQI6fiIe3ojL3KRR36BBWLoL12Lp8tUk4qPQMncKCZJeszcO/ccuI5WgY0+SqvfRf/S9F52P6AXtWJ6RNxVt88ag+9FF+GZ9kMRcm7FVszfDOOHCiSRD2lmf5CbvYYyZ+w77Rnvgy4EgHTL9r83+eISEaO5jX5rl3y1zJqFV1mTkHzEWr33hwpZQFelbJUqqQ7jphoV4/Y3P4SZBmD33TXTIvpeERqR4FrKPLMKiF6uw8tMKXHAJSXT2JNZxPFoVDsecJ9bC7dVdx8ir3lasXI99Cu5n/R9hmnG4qc+LJKBeuChbWLV/3P4kbU/1n4rm1MODQ2RrtC7a6+YaL0nRQNroFLRkGe0Le+Mv/37Z3FU2t7VJkRQKMUED/i8+oTu+etWgaN/qzUCr/F7IoF03y9OrFIfjnD9MQQ114Na7/Zle7RtdtAzmlZGFw0hqe+OkX43Edz+64Q964fOSfZMN6a6q7i8feNxMNOvWi+mLcNgvJos/scwQ1v5AnXLMtMzRvgXTWOZA9Bv/BT5fFcSd9y1Fm/yRJPvae2IayxiFr8nbqtwKGmglQQgX/3ExMkimVYfmXR7Gn29ahGoyMm+QhC3sxr/uWsKxOZb5TkaP4x5GaS3L9bHR3pB5quRnZ2lPiEkknKNZh164qf+r+LY6iBLWsNTnwitvrMM//jnSBEiCHP8KGpx66VSYZ8/zZ7DcgRg69dVI0CBcamIlWqWk+UIjvYzzRY9jhqFl5gy0ZPqW+f3ZF4+b13r6temm0lIi9Je/+REildd35SM9jZz8NVrmjUTzgsHU3wic9pvZtBOVUc2+KGe/hPDsW+Wch/qbVQQtCmahY84wzFv0MbvbgxAL0B4Sd/Z7Cxmdi9ifEzgmBuKk8yfi081eFLNd5d4gPvgYuPqqqVi7Rnf7a02g4YQLRxobaJY9h7bIcXRUT7zz4RaS/VpUs59fWVGMv/99DKgqszJAj3W9/N5qtC68F80yF5qgQe8xb5n26in/iI1FdKSxtXqDB3vnD0Xr/AnIyO2LvdiXA4d9SltVWKuKOmc6qUafZhJV0KHW6MvLNLLpm+97ObLHSc5ktn80Tr5wnJl33Qpacc4IUELBH83Y0qak1//3Q/Mq1GeWf4IqpvMFg8yrCsOnLkK7Lg9xPvmSo9lF3euVqj6OR59ZGaLHh8J6s4qCVtSXNjTU3gYLXvgWXQ4egI5ZvfD1d6xlqIxjYDVNbAvrR5sJsR5aJeT10S5DbEWt2ahxzvx3cf75o+GibSlNIMA5hC287qHX+bdkFlp0GYoPv+FMJaNiHYP8jKwRqh/SQYPYcM7HS2OTSkfiOca20xSL+Np5KW00nHOxHC67Lfa1tsMuieXQynnW9ZJYhN6uV6x6C3LcbaIV7fRHE4dEd/hEzqMJuq27RERQ0LWx8neul6QKu+27DKpewd25jRcwEFJpp3M+URoRBjtQJYnVV4nGQrIAUbRNR48VO29JLHvRb7ue0XnYd4EVAEkUMEpmr7HGazw44zgRuY6HVMpUmui2OrCDBvHGeUMg3Tj5SmIFBNQfdppYddTfG7WrIX93bPuO137VU/k3pAw7KBHPXpyxkWjuawykYgc2NJ6UTm2Irlt0v8T6+xA9HuO1z04XywYaEzt1to4dNKBzJWKlGVtilld76NQFzCZ60+e+i31IkFplDiAZHGueoW2WPRKt84ahReZQOr4kBnlzsV+P3lhbRRdXy9FJeM0tIpIuuYwiAk0dyYIGjpOrT+0hESBL0p3FcXM+RJuswdTzcBJB6jtrNH5zzXx8tSmE9ZtDmPnYVzjklyPQMpdETUvmO/fG6edNwkefyZEngTJLzN2o9AKHnDSU6cagWedRJMkPo9+Et8zScd0tDdHZl6+uu6dhkTM6+nrU5PK/zEG7HBLyzlPQOnsBOvYYhXOvmomLrh6No4+7Gb0ffJnE2gNPIIRXlq8jebuHhHEmMrrMR1vay965D+PgY2/Aff3fIYEbgla0n5aZw3HW+XNw/0MT4aOdaNN9PfZw463PkeANMja21/5DMXzKj5i5YA3Ov2QoTjprItpo9/5ckq2ssfj56ZOx/KMvDTncTL5+4EGjkZE9mTY63hBVvT++Uhs61Nk0/2H72EDqNkgdK2RgiFggjNfeIQHN7EWSThKWPd28XvDA48Zi5de12FTtwjsf+XD73cvRJfdutC14EPseeD9uuu85bCwlEdZ+DiRn2gNAZKyW5X1bDBQezrGS9zDrMhRdDx9plnP7STIry8uReQQdCT0KkTOTJHMuOub2Q373f6LXoGXYu7sCJ8PRIm+s0cXvrxuKaXOeZLW1ciKMi694hn04lmNwGvY6aB46HXAXbnngMazZALy+woXOPYYgQzoueBhzn6F+1GZtduBli0mWF7+8FvsdSFvp/oB5DKNNbhFyjhiNc654DL++ZBaO+tlD+Ob7GqOXEK/1cBI48hTVdXhdsGkweo14je0OkVSSOYvgym5AEkjiWeH3s+29aSszzAqVFmxn1yMGmI0MPXo7B41MBFr6Nxfyem2sqf1RDM/koVvvW8620+bzBtHuByP3kOF4Y2UAxRVevP5mMe7r9TpyDxiIDrnjjL13O7Yvps37gVOO9l/hvyzAy1lnbXkAR586Ce1z+tJmepuVG1mHDcdFf3oep/x6LPY/5EbMnvchyTbJP+0+4Ath6esb0Ongoey7KbTDKWhXOAadu/bCBb+bh3MvmYuDj7kbX61iff0BBGlfGquPLP6CNtOPpHcxx9Vg3N1vmXlbiZ96l42ZGICGN9u26gc32uYPZLtGokVBf7TsMgnnXbSY9dUd+TLWg1+2XqCjtZyLfWbDSQVOanno0qsWUrcK/EyljEf2oYPw6ltVKKkAyjkHbykHPvvCjfHTv8TPz+2DNp0fQbusInz042azlwKnFdTSULsfNQAt95uMrsfNxr1FSzFk0jIMLfoWQ8d8h6Hjv8ScR77E8g/KUBnUayM5HwUjm3KefO4otO20BK27zMQFVy7GkHHvYOTYVzFi7Ape9zUmzF6PF5dX44cttWbjRHeonHNMDR5d8iE6F96Fq657zDwS5PWHsZmmee2tr6J99mBc/JdHUUWdhVRB2ZSCD2Bj6ol00CA2nPPx0shBstNI4jnctjMXK00yx9Y5F8sRtNsSfa3t0MYiUHa5sfKOPq/fjjiOvHNeEs8xtu8+K419x0+fciodwqi8o2GXo+tVtq5zRNerrToXfedYcK6VpAq77bsGPFg17e+4dtpnWmPVaEilnc55idP/jqhvpHc7jSQWyRDUX04aXW/DJuyOncieRGrtgIIjysuGnbcjyke2oTxkN3ZdY9m8YAfBnHo4tiZJZK92HeLlHwuOjdfnGhtOmZJYsPOXLjT2pFu1xdZJ9ByxrZDOnbwl0pvKdPrDPheLUEaT1/rWT/3jXKu+iQW7zyT1QfTfAdmOylSesht77otXfkOh/FWWI/Z879TDEaWNht3vsc7b+Un02+m76HPxxrtg93OschoTO3W2jv14grwzem5ysuRn6Y6XyAKd08++KMHPT7gePQ7ti8LDBpNcDEfWkcORc2Q/FBzxMPKP6MXfQ5B1aH9c8KdRKA2QhGmJbJB/AuocX/MsbmL/rUkgWdBAOhcBkXi9Xjz37Hu44/55OPrk25B/WH/kH9sHOcfch6xDhqHwyIdIxG7D/kf/B12PuhWHntIf5109H32LPsY7n/hQ5SJxCpCA6L3n7N7NxVX4z+0T0e2wO1F46DDkHjSUhKEvjjj5PgwZthA19OxDIk3aOp/lk3rQFEiEwz5sqQT+dfujyDpAr6Ebjdadi7B3Zm8ceVw/jBi9nORDy80rSSj85tGU2x58Dl163GseEehx1IO46d6X8PV6LzZUhXHFPx/Bvt3uQYfsm/GHP83Fjxtdply/NoDzB1FGZnnLQ8+QON+Dttm90G6/e3Ds8QNQNO5zLF5agvb5NyHnkPtw+m+m4cY7n8T0JxajkuStmrY2YeLnaN/tPux16APodNgQtnE0ygKRu5ZmAz22SMRUAa0AbdJDfb/25jsYOmwuTj7tXhwgO+4xArnH3I/cw0eg4FCS/SNuwQHH/guHHncPTj9/FO7s/RJmLvgW36/3R0g1x00wWGZ0VRuoQTXzHD11MYn9EHQ7qDcKDu/JcdLHvEXi7zeOwVdfrWGfABMXfYDDTu+FDvkPo2PBQFxGsrR85VrUUhcDipYh8+C70aHgbnTq9hDu7j0bNe5IIEnj6KI/voAWOZNIOueROI7HLUPfx9/vegRd8m/DflkPULc9kf+zQRi/6AvziImL9RL5UmTG6y1mPYN47IWNOPys+1h+H7TLHor2mWPQMXMAzrpwCj752oVakd1wABVllbjr9knoethtyD1yJLKOGI/CIwbj+F/eiwED5qGmmo1RPEZjXUGncA3r6EXRlPfQpev92O/AB7DvAYORecAAVJINK0zj12sT2Q6apXrEfNFd8s8+X4Mh/RfhxhtH4UCWV8D5Ju+IAZx3BrIveqHH0Q9yHroehx51M448pjfrMAV/vGYpJk3/DOs3l8Ot/QBUEeYtXQVRyv4oxZdrvbj0T3OwV8FdtKmB2CtnBHXVF1f9YwI++moTagLapC8An4927K5E0OfDM69swTFnDUfHbg8gQ69fzB2C9l2G4IzzZmPlp6UkwrLbariqazByyAKcfc7D6MYxmcP65h3ZG0eddCf6DZiNqmqtEIioyJig2sox8u/7X0Pbbjeh8zG9mPcknP7rOZF9H+Ayr3GUWjQPRyKvtDV/CK8v+xxjip7Df/4zCQccdguyj+yPLkcNNZLHsg888hbsf+h1OPToG7H/4dejO+fkgiN6I/fYe5Fz6AwcetJwbKwtZVvZZwEv+zaM7P0Ho2WX6Wiu4EPXAWhVOAgtc8ZC+5joEZjWtIlWhQ/gmHNG4q0vajlmOMa9FfjF2Q+h7T4z0VKPQhWORsa+M9Cm8zS0ztZeKuPQMm8SWucNoP7uxt9veBrlnI/8IRf1+gmO/dUg/OKSSTj4F7fjqr+NYV6D0KXwNlz8x3lYtakKtZx79EiVApjmDR51b0+pD9JBg9hwzidKE01kYhFmwXZK5cBFQ8ec87EcS+dcLEJhtyXWtbbTqu827HJj5W2fTyZyUuM59DpuE7FEEks/0qvdjkSy5wYNtg9SaadzPhWRHSUidonGgu7SJutne8xF27udt+phk6JoUTnbw16j65AqnHFcn2ts2HqLNQ9Ek7xYojTbA9tStq1PSay2JYJt3/GujS6jvhBhtq+PJeqfWKsQtgWxykkk0bDPRduxg1T6LlHAQLBtM9Hc0BjYqbN1rKCBlm1rNYBxsuRnUXSnTtyxlp5stUvLo0kj6WsWU7Z4+QePUkXR3esSSil92woSPzm+7qDuDolAMAP5vfowDnDTRrKggY9kxQkaKG2NixSCDKLM7UUx+2AzmVUJ05RL/7XUP/tiM4+XkY2UBX2oIVnTfwESfb2qMRysJU90IejXhpYelNb4UMlrSqvZl7x+SzWvI1GqrKAFiGSRVGrTRBEbLYnW6+S01NnHurhoDz+WerHklbVYuHQd3v3Ei3L68x6SGY9XKxR0p9hnlk7rTuaGkjDWFwdJyPyoYdkeZloTqIWbhP0HHl9bWmPuSHv42+cjAfNq6bobPjJqLwncms1+LH5pHZ5/fSOKK1iHUBk2lVfjnS8qzHL7al+IRFN39QOo0k7/0p+/Bj+UA6srgcv+sRQnnTHD3B0Nh5k/2xXWfWg9GM9jInJUI2pZ/1rq0Cu75rXKu9hfaey5hMdLedzYOgvQQvMq6sUnckoCHNmcjmUHqxEIuqj3oAlEVJDgbykPoIZ5ldWE2H/sN+ZVzuNBvTKQ11cHQ+bO+zcbqKuKEPslQDJfBi/7zBMIY10JSHYD2FQqQh2ijmQXCsgBF1z5HJrlTyTRG47m+T3x4MSlKAkF8dX3ISx5fh1efrMM66qpd7Zbmx8qaKLVEKprIFBlvnvY31s4pt/8wIWFz3+Bp5aW4IPPaW+mr0SiPUzL0sJ+VLHx2tNki3TDa8poPzWsvNvjh586iIxxDXIqSQEZ9rke0VD/r2f9/3T9G/jZmZNJBr3sYyqZOtA1mm5E7dUfHomvBu4q2hpZdXVtCKXUl6SS5ZZTP8UeH6r8rB3P0SRoT5FgQ4gZhQLFxlalIxbNvLWLSiX1XUXb4XWcmL5aG8TC5zZgydIN+Gq1Hr3ymOX8AdYnoFUDsn3aUCigR2Y4Xtw+rPy6Ek8tW4/Hl67H25+5OedpNQWtOVzBfq9gWtalWGM1MiZLSfg38bvq56POpBInaMBuNe2miZhVOV9tCeO7KuDnpy3AP65fyHrqNPNWYqU1c2ZEUXrVaa0rxD/QtEOqz+UO0C592OwLYiMHnfqyyktbpj2X097K/bS52gDr4+J87afu/BxvrDlJuF9vOdFbMWiH9w5+Dq1yeprNLVsVjERGVhFaZ01A69zRaFX4MD9pZ51HIaNgHH55/hxwKjKPLUyauwz7dh2AFtq4NEfBhelomzkFbfL4xzhzHDJyp5nHJlpohVKXkRg98W02J4xiTmSrt/ixiTr4bJ0HL7z8NZ59aQM+/txl8tZbNvx66wbtT/1oNmdlP9YX6aBBbDiEQ5/xYDubsciqAzlKTrpYzpnuvjjnYzm2zrlYZdgkKpZDJsId705isjtAqksy4qXykzmNghxmtT1efspLdUjkWCe7Xu2JFbhxrhERTBW2s7wnwyZV8WCniRbpVONJuk+FECQbC+q/WERF/St7tMdcdHn2OeWt8/ZYd0THkhE4nbfHR7TEs1e7fYnmhGg49dRnQ2D3USy9qp7Sa6zxoz5MZQxvC6SrWGXrWKz6OlC9nQBOfcavA1sv8exTd86dNPXpMxvK26mnLTqmOiSzt4Yg3lwYS5Q2Gs4407l4uhE0DmKVlYrdqN12+u2NXS5oQPpDx1ZLtuv8VH7qjqxImJase0ketCu7Ni7Tpnn07cwSWrMLOiVA50xOXpCOtriDnGItq9fTqMZv4++I89e0kSxooGCBXnGpdFp1IKLgD5D0k5CKSPhIAIIhOtTUp3bLD5H8aYtJvyH8JJUB/mKfiRz6yYC0nFn5hEm01D8+EimRWjnjHpIIPYSgDcpEbPz+aqat2MpwzPJg5i7CqVdumvfa0wb0fLuxByb0kuBrE8ag2Vae+YhMs/+9enUfJSzCStGqCY+flhNi/dkes+Q95IWL14jQ6VGIEBmWXzai+rjZHtqVlr971UaScojkkFB7qRtyH7aBZTM/LW/2qzyWHQ6tM8vMq6iDE385EQMHv8s8SR6wxWzgFlQQJMgyVEcqwTyWwe8KJOj99F6SR1eAevBTx7Jris+QzsjrSLVzvV/L6Fm2KZ/1kZ79fpJklhskaQtRHz6fzrNeLCDA9vvCleaRBb0SzxfaZJ71VlBO/ehXn+muvjYyVF8HaqkztbGa3RDpa230GGSj9ZgJc8Z5Vz+JZl1Hk9yNQsf8gXh45PMwYTq9XcHYC22CRDHgZ3+yXRp/Zmk76yw9hWhPeh0iOafRsfRKazJt1HdPgGSY1wW9ei4+0v/Sl5s24QnQbvQMAa8zq5F4VWTu4L8a6+ybIJWqO8VBknj9TTn2hGHoM+ozptVd41LqutzUycwzMjaKFriYftZP5Ur79rLTfJQgdajXugap6xC/S3fUNuchpmGBZs6SUejuNL/rnPYS8HuoLepBAS3t9+D2q04eftf4oMa0v4L0K3LP73plpZv5ax8HzVcB2rfeWuFl+z3qe9ZFfRRmuhD7ye/TKhOtXFH91I8KfASgPThMsEZi6hNplkacUZAe0aC9V7NOP5aFkVVwB55csppt1sxK3bIsNckRmhIPyc71KARnYZ90or5xUz8KJGkFSmQlSoh26GMdaLomCKKNRgO0sSDLkv70uktt7BmG9j0APv0ujBN//QS6HDwSv7hgIs44bw7OPPtRnHbWTJx4dk8UHjkMrboOQrOcUdivoA8qS5WvG2s2hXHf0FK0px0ectJ4nHZ+EU47dyROvWASjjl7EnqcOAYdc/qhY9ZItMifiiv+OTcSuHMrqKRgH8eb/l54aV+sj1fjW3OSdEM962+NeaiDbZI+6oumGDRoKoQwEeTMOY6gPreHUxsPclAdAiipL6Kv3x51t8nmngybVO1qcPo5VSit0xabiCoQsS224lzryPbAtgYNpCun7QpoJII9fnbkuBfssvV9V4A91re1f21b21Xa11hw2iWJFZyNBXsVhv7ubm/sgkGDiGPrOKhy5klp+IXuqAiSHFk6wnRbzXHjjNX5v8bzFFtQujpCpmWlOm2cd+VnMmYeTRypBA2cz61Or/QuvUrXJP2gs092wUT8rrupOub0hxHloTCQeotJDXvgEaYR8dfxkNKoX/iPNhoTQQ+z/+hy6dJIPuY8v5KsKHtTNX6KZ+mOoYhSJCHL0klFnJStEf2m6JP/6zryJ1OG2qKqy2RUNb16TSRRy+e1RFx38E22SsM8tFpF5euYCJo2LwzrOAmTyIX4hNdTdw0JkscXwpQ5T+PUM3qhghxUZYRJSgz/IInVowmGyKlOyrYucxFyEakQyaapt5SnBPytO9YKnpi2SDgetOeHec2hDvEfEU9zzhBRKYnfdT0rqJUICk6IuIfVVqlOaVUJ5Wvy5vc6lUaIk9Y1VLIc6Z82wPrprrleM3ju1Y+jZbdJaNV5JtrmkpCPfgNuozuScrYx8ppKlaG2igxHqqKggGmusZvK/9VRxcs2pFu23YzfIP9RRVm+qiY9Kbhhjokom+AWi1G1eY3siHSU+fA72+Zlv7p8Lkya8jbOvaAfNpRoYz0FLSqYR52d8VrRf9VM+pF2lL3ZdI/tDLKeevzDNEDC/yP1jVQ8wH4QsTRt0jnVQW3hOe1oUJc1j+s9BhTHxmUAKl9l6rzaaMi/AmvmJ4/zYuf6urQRRVLUxUyobCInIoEGM2Z5WvVy6q2gS6S2kkiGCrLpUZ5anxe33zMff79uhnn8IKAAmuZJNmJrkRS1zwQEmLnmX3+AfaxBxDqasahy7Qso5repe93cIcbu2DUPaN545+Ny5B/SEwccPRhf0g/QvgWeoIKA1CDVp71GKrwuTHj8R7TM7YWuhw5ANYfSuvVlOOBntyMjbwauuf19lLp8cCugxbHtpa1W+oOoYlEvvVWNrILbaaOjccPdT5vXl4Y8sn+N6UgAJqSNGzW+wMFqdBapu7ElVVzKU1vqia3zZwLsaUGDVO4+7emwdRBrlUFTh4iXo589GbYdiAzszlD9nbbYQYPdAU69Gxo0EGybTZXUNXXYNrO7/13bFWEH6HfE39pdLmiQxo6BnNhEQYM0kkGkS8Enw4K2EgORHG0a6XH7MXzs87ji2gFYvb6KBCaS0nAHh3wk5hG7DFTVrXU39dbGpLWo4MHz/rQQrTIno1n2PLTffyjuHfo89N58Q7pE9iPq2XFtVbeYsiJUT7xUS+VHjHsOl189BqvX1kRIL0X9pc+mDG8oiOJqD+59cA6uv348KiupQtkydadAyY7qt3HTV6Ftl7447lcjUOLWox66u++F1wS5tDKhBh5fNV5+pxQdu96LO3u9bl4t+tzSd7B3/k1of9hzuGPAF3CHfWbVgB7z8AbL+T2ACk8Yn69x48BjbkCX3Pux7F0dD8PnV3CA/c//ZdsKsOws7GlBg+i7H3Icd/Qdt50JtdVZZbAtJGVPhGzBto+GLlfeXWAvzd7dx8LuFjSQnlVnBe2cem/L3GrbbToQmBqcVQZaOt+U/gbsCEifjj3uiEcThHTQoIkiHTTYVoidipJGWLHuhnu9PmilhIhWv75DcMd9M82+DQoY6M0fumIrRMYkuwFEq38aNAiQsHnNPgi/OH86WmZOQrP9pqNZ54dxa6+lun8Os4JEDd5K4ncQVL86qFjtyTB8zGz89/YxqGV3+YNh84iKYB6XMY1qulC//vPmezGy6AV4tBCA/aVgi1k1pM7bQer54AugXe4I7Ft4D8ZO/xDlNKJIoE1vTinl940o3ggc8fNe6H5sH7NXg4ZaWTlQcOCDaNZ6OgqPnoi3PtoIF23ABz0sUmP+3VgJXPH3iWjW8Xe4+e7X4WKztFdJWI+oKGigZpqyZKw7B3ta0MAmzY7sbncmtwXO3WXpIH1H8n+wSacjyZ7Z3RMQPRZ2xDLi7YHdLWhgBwsc2Za7sfa8tqNI2u4M2170PY3GhR3E2lHz6C4TNLjnnnvqjqaxIyCydMUVV+Caa66pO5JG/SB2KsoliehT+wmIZHk9QVRV1pCgko/wt9unZ+yVTmRV8r8VCrsDdL8+GAkFmPZJKirdmDF/OfY/6i5kHzAc2QeO5edDOPWcXnj2xXdRvJmOsprHtCGzy8GOuotr6bSurmVkoFqO7iYp9otpEs5KA/PoQxOGXsu5ubzK6Efm6/frERDZKJVFQm3MdgdAG0nOe+ZrnHPxBBx8WF9cfNEzuOnGN3HzTa/jxhtew9VXL8V5p4zAzbcswjtflJhXd5r9RzjIXn59Ha7973IcduIkHHX8RPzpmhdxyy0v45b/LsXf//40TjljJP70tycx87EvUFzlhZuD0q+9LFBFQ9AgZVNpFjuoqTHx8ccfb/1bKNkTlnHKObefZW1Kd+Z0d1mkKu0o/xSyCcceRLqaik1Ej4XdNYC2uwUNbFKlRwsag1g5AUFJenwnhvQjfWk+TKPxoTlUdrgjA1jplQZNFOmVBtsKkVMRzp+SUG2sptc1arM4PePt93pJTL3QGw0iAQPdwd09ggUO9Ex+SM95G3bFD1a/osKF515+F88v+xpPvvg9nn7pBzy19Gs8/8pnWPry2yjR6x9M0EA7BWhPhMjd/e0PS7+sq/rBpw0IWQ+zwaCe7WdfKVjg9FlThlrvNxuH8tMnvUl/tRHRfh36uQPgp325wlvgCnmxobwGb6z8EoueX4GFLyzH829+gHe/XA1PDeBmPbXjh89spKiNIL3wsf7VlBLW97ONJXjq9ZW8diWefuE9vP3hNyiu9Sh3VPA/P9MHglXs/1KENSY1hOuCBpF9HnYO9rSVBmmkkcaeB62aUfBD0lSJoFYbKPggMpxebp/GzoRjhztyNVs6aNBEkQ4a7ACIgxnizH8kgliaxBzXgd0Bugcr0q928MMQrAi91FGJ1hHot0TnDBevE22DGdnMdEdANbB07ejZbH6qwMeOCl7sjpDuFDCoC3BpF8YdxaNVjrUAR/ajxwW0r4FeK+nXygeUsyvLeLpuLwLH4LS5KNby8gqzHkY9HGCqiM0xnf6vk4gtRI6ZMiX8bvZwMGXsHKSDBmmkkUYaaaSRxq6MdNCgiSIdNNgBEDHZSlQssY/vhlDVtae+eSuAIZh6d72khsfchuqZwAFl14BqLEYqQiyWmcZPoZ6SXqQjh7nvYKiLAixXb9wwtqRAAO1LhqTqqFrGoOqiCyY9RdXWpzE4JZI9Kg89XsGTCnworSPKQ591wYKtx0xG6aBBGmmkkUYaaaSRRiykgwZNFOmgwQ6AyEgs2d2wtd6Ru7cKGIhzGZgd9p270yJtkXOGw4nNmXcmmsM7Bj/RsQoVo5TsjorfkajrJEd/Rl36ZwetzFBXqQoGKreu38wrQHlS52xhkq1fnW42jwCV8oBWSfCrI2bZi2xUGx/qt3OcYr44kYedh3TQII000kgjjTTS2JWRDho0UaSDBtsfdbTH5jmEjohcRxZR7xZwiBbJlfYmMEED/Vb1xbfUHKeR5GA6F2kvT+jub4AHxc12BLaSQUH19bEuAVNVyY6qxu4Iqc3w87r+iwSHSLR3APTGBj1SIFNyxNiYebRHqwZqeFYBKp2IHPejltZYweu0MqGax3le9mj6XyteqnjOFel7HpPoEQRZQ8QenEcSJCqHHzsJ6aBBGmmkkUYaaaSxK2OXCBq0bNnSbKzibEyWlh0jTtAgrfe0pCUtadl58v7775ugQfPmzdNBgzTSSCONNNJIY5fDLrXSQM5TU38F2o6C9Hz55Zfj6quvRkDPEqeRRhpppLFT4AQN9LdQgYN00CCNNNJII4000tiVsFODBh6PB9nZ2WjVqhXuueceeL076PnZNEzQ4MorrzRBg3SgJo000khj50FBg3bt2qFt27YmeDBv3ry6M2mkkUYaaaSRRho7Hzs1aKCVBd27d0eLFi1w/fXXY/Xq1Ua+//77tGxnWbNmDX7729/id7/7nfkeK01a0pKWtKRl+8tzzz2H9u3bm1UGktmzZ9f9lUwjjTTSSCONNNLY+dipQYPa2lrk5+djr732QqdOnbD33nujY8eO6NChw/8TPcaw3377xTyXlv8vXbp0iXncFulcKz3i6dyRVPJKS1rSkpa0xJdE8+i+++5r/sYpcKD5OL3SII000kgjjTTS2JWw0/c0kLOkOyvakO/111/HG2+8gWXLlsWUROfS8lN58803Yx535LXXXsPZZ5+NCy64wHyPlcaRZHmlJS1pSUta4ov+tiWaR6dNm2Y2BNaqu/RGiGmkkUYaaaSRxq6GXWYjxLvvvht+vz/mTv5CrO9p2TbRRogK1sQ6l5a0pCUtaWlciff3S3saKGiwp22EuHTpUtOW/v37Y9WqVXVH00hjx8LtdqOoqMjY4cKFC1FWVlZ3Zs+HgpW7wxhUPdU3seqo/tI5zSfqy1Sxbt060++S+l4bD6qL3vYmUf5ppLG7QmPOseVUx8YusdJAjtKdd9651YGKhUTn0qg/pMvLLrsMV111VVqvaaSRRhrbCc7frkTz7CeffGJWGShgoM89IWggR11/2x2R0789IbLx0UcfNQoxSGPPgmzDtsUTTjihSRC+6DEocrAzofEZL3CRqI6aO5zz9Ql82NdJrrvuum2eH2yd7qrBJ9m29NSUgmM7AtKn9Loj5g6Vsb37z54XU/37vEusNJCTpKBBrFUGWyVUJ/zuD3sRMOJDIOgzx4I8F5DoezjItBLnGg+lJpJPUL8Dke9NXBQ0SH2lgXRGnYb91GmdSK9Gv14K+26rviXqS6s/eTwUCrB/AuwfL0Jhd925AL/7EGK/BPlbfRjWOfZfKKD+1DV1x00eHv72m7SSkMlDdamrA7+HTP4hir5H0oRY9/99qh26bhtla1ut38aGZZNqQ6T9W+u59bzaLFG9I7ao80HTLrWD9ZOdOhKuNdcaHVEn+gyHXUY/Pyk/LUaPIdqlbCAoHZs+Un+4qEPaHn/7dSyofpANcl6QXnldMFzF69x1ediitLIZfpr89iBReyhqpxl/RkJGd9KXJCTdmfHk6KKWnzXUJfW61Ua3TWT7mtONjuvyjNRHY6KWUvX/rtmdJOHfNsoHH3xg3iLk/AHf3YMGcnictoigqT3Rzr6cFOcuRyzRnVHdHUzFcdIdE6c8XZdGYqgvYunclsa6M7srQO2QvYk0OnYi8rcnQ+PGaavGoNobPQbVx3afp0ocoqHxbeej4EA0lMapT6z5zTmn66Nhk//oNiSC5iFde8kll2y9Xm1uKGyd7mr2o7Zq7nPq54jT9409lpWf+sopRzreEWR6R0PtlP6kR1uvEum7MdscbauO6Fj02JQt2mMuVYn+e+qUp/algl3m8YQ77rij7mgUdHOG4jhX+u7x18IXICkI0XkNVZNI0dkMgY4l4KPTH0QVQFLLLxHRb5RG8tJvkoqmDunyD3/4gwkaJENE91ScXs0o3ZG4I6QJiManQyQV7IyIbvkRgb7U/ajTe1BBA0PcRNZqI8cVeEAFiTBTk9ypiFCQ+YVE8moRgI//iejR6Q4o4PC/oEGkBB6H8hCxVqCI51g/EzQwV+oz8t0QQ0OCVNFthPIgyYmIgihsjLJlPfXb6CmozxDboHrqK/8NKkjgh/4TUWKjKPyfYoIcbAenKf7wMS3rryS030CAxCkQRMCv60nYwqXm0jR+CqlYOgzRJkxwyCi+zlZDXtqRB179ln5RaY5LxwF1jYhpQAFGpz/qhP/RAplWfa78KHsK1HgzHjm2aKl+jS/an4JwoL3Bw/ESdFOvPE/blTWbIBbHqMZjyGcUV5dZw8GZgRqmvW8dR5GPoBknClJUm3S7I7b+7UoABQ30qkXHSdjdgwa2kx+LQAixnLB4EsvZsWGXJycojcSw9ZVIpMv6kLTdAfV1kndXiBw7/RhvDGpcOWkcUQCuPrADdo7ECtzZZcU675xTumjY9toQexTxS5R/qrADH/F0ujMg4ppsPm2MVRY2bF04sqfNFdKXHWiMJdL7tgYOpDdnXkokNnRNrDTJJLqP7HkilbG/6wcN6uDctTZwky0ZH15kTXe7+ZuEIBzUnSqtKKioc4aZRmKIWI35LhIhktnUUe+ggZx5w351977u7p8Il3iUdK3+MATYKJyfdSKo35RQjI7pdJc3FNRKAp0jOVFQx6StZhYqR+lJisPrSWICJHkhlqVABfvWx4tUJrPSXWQRb1O+MhPLUD0kJo3umIqIi+jogsjxiE1sI6KCBs5d2CAlEArCZ6IgJEH8XVcdUx/pQPrcWk01NdKYSL3UDhNIqeJP2jF/hhQUw0bD4SRhrOMxTv6KsKTxU0g/1GGYugn7abdSsjE02Y9WrdRQSEAV0OF8of6T6rWixQRrFEuQ0o0tm8yUQZ2osyIfewpMsM2MP2NodTqhfqgnfQ/Weox+gjRUrY4JUm/GROuMOqSxrATbCBOcYTZSt1n9wLLMCiIniKDydlOY+VNzYALsyUGDeI6qc14iRz5a7POSRM6Z43QpzbbcSWwqsPtHutZvichctO6l00QBm90Ndvv2ZNh9HK//Yo0zkaT6IBapUr7RECGRLWmcxiLcia6129JQYuqQslj5p4pdMeAUHTBQHfX3Q/NgNLGvb9/Gg8q083WkoX2zKyI6YCAda8WB9Cp7tHWu7w2dI2P1n8rReJE+nXlZ52yoPNlyKuLkLYn+G6p8nHNKmwy7T9CAnuNWx8tPL1JOpLi/HFfjtNLJpfMbdtfS56eTYsgcD5lL+F1S55SGzO+mDemyXkEDsVuSBXn2IsZBPVJQF4gxOtY5o1fzJXLM6F5QIrIxEROdFgnQIX3qmDrSpCVZqUuKcDH/+cF0s366/GXwezZqKUldPZiEXxVOqOvUyPG6rnbS6B5xJE3k99bytxVOfvo09VDW5r4o66v1ESyIbdPxOn619RrVW21SNfVp1iKIoCqR6sfvChgEUUIzrjuOH01eEmCN+RLypYNf/w8RhUZEupTyjdL4D+0k8lgTNa/jdeeULGB6g5O+rjcTi347PWcy2CMR1qoCjWPZZkQR/O7iP1qdpfGtR8CoBdk41WBMjr81bN1MFlCArzFQNzaMmCylfxYm9asbGu8GyQ5HUwwa2I5KPDjn46WR0xbt9Mq5ihc4SCN12CRM36MhHTsESbKrLcXeFqgtTrv2ZNh9HA/2OLX7O9UxJlIT6/pUyEc0El1rt6WhxNRpa0PqJtht3ZXGg92HsdqmvnTOS+q7kiQW7DLt8bQnBQ1sm9Pfnejgt343xhwZPW7iBdkbCnslkMqKBTs4kiz4sesFDeRbOWIQ8WR1bzZsvsurlENbRX/SjXVlNVj61mo8uuRTvPvhFrjoZ+qObySdA17H/HRYOWgZbFNHfYMG3kAtKn1VKPd5UewLotgbovDTHUSlvxYePbJgVnRQt3Yfmn5UX+jueQncoY2o8JajzOOjAKWeEMq9AVR6/Kj2sk/r7mTquk0VXsxb9BEeeepT/FCix1F4OOiFP7AFVZ5yXutDiZf5sB4uFhsMb+SFm5imCm7fZpTXBlHq9Zs01X4tvV7HbDcwjUjRNkJNEqGp45R6FtwV8LE8L7Z4AtRNGGU+H7ZQV5t8YeqMbfRWo9bvgotptTBeokXXPqM3/tKSeZkm2+/EaPSPn6Sp3O3Fome/wHOvfIsqfzCy4kCrGdL4CcLYzH83sks2weMrRRUnhEqP7IB9wj4opv5L/VW0QZ+xuTIeL6GONaOImxrFm85VR8imSV7FkI0d60Nz0R6kd8eO9ck2KnYl26ph079aW47Fr6zEnCWLsfC5ZXj/k/WorA1TM17+t4WfldhUWYJv1/6gnLYJAY6dWq8bFb4Qxw3nBH8NvMHNrFIJz2rlmILCuyfSQYPYcM4nSiPorqR9JyaWY5xG/ZAsaCDYzuaepPNUyPSegFTaaY9Te5lyqgTIJox2eQ2xl0TX2nnvrKCBHcDcVR5NsAMCsYitA7vuDW2/A3teUL80Rt/sirD/5sRrl+zASSOpL3bEHOvYvSRewMjuw3hpHOzUWTN50ECerJaf61l3n3klY5DMsZqO/RoyzgeGPYHsI+5Bm9xRaJ0zgZ+DcNx5Y/D2p+uhVew+kjZtnKelysrKCRqIDjR1pBI0CFJvAT23HAph0ZLXcU/PJTjqxGHodvhs5B60CDkHLkHuwVPQ7YjBWPTSJpINkazIcmXpWqLvykebpnkDIfz1hgXofvgAFBwyFXkHT0fBQbz+oGG47KoFGDJ0Gb77YTW84VqUkdefeOZUtMnuh44FA3H4CWOxpZKUjYTireXf43dXTEDeQWORf+gsdDt0Lnr0mIJPviw3eyOUbvTi3/8dh24HTELeITNRcNgMnHLmIpJ2tkn8T2a1zVDgoZQSmaRlYs+99BF6DViCs38zBgcc3ge5h01C7uFzkHXwTHQ9tAiHHP4wDjv8Hhx9/Agce8o8/OFvL6Dv2Jfw9foqeGjfIT3OQPtWHV1u6kz5ksm6OBb+8JcFaN1lAFp16Yc7e72KWvafTytu0vgJXOwOjX0PB3kRdXvjf57EAbSv/AOnIPvQybSFRSjs9iQOOmwYDjq0L/Y/rC/tdySO/OUc/OGaJZg8ZznJK/PgHBOkPfsDWqrPA7IZ9oMeNjErQ/YQ6DGDoFeP1GyAO7weK79cg2v+/TQKj5yMDoVjkJEzEN0PHoqTT3kKhxw4G4cdOgr/vvVxPLvsG3xHPn9X/5cwY/77dbk1HJ99vAGXXjID+YeMRc6hc1DAvrr1jpfhp+r97EutcthdkQ4axIZzPlEaB7ZzJYl24uQsOw5sorukcvKURvVzJNk1uvPi5O045TomkuUs5xd5SuZsOVAe9rUS9XcihztW+5TeyUPXxyMMsaB8HF3qeywof1vniRCvTfUhV9Kf9Ohcn4pOnaXCTjnSjZOHPmP1q932PRmptFN6ctLYy5QTEVAHOu+k151K216UbzTUF6qTJFbeia612xJrnNhjNJ7NOW2NlX8qsO/GJtONM8/Y47M+YyFV2HpJ9DdDunfSSRoKtdsh07prrd/J+qYxoX7WnKC2Sq8a45oDkvVHfWHbcrJHOlIJLsSDbVPbwz7sdiQa03Y62Wwi7NRZM7Wgge7sBUheSZB4zE8H97GXVqPHsf3RPpMkar+5aJX5GFrkzEKzrNFoljcKPX42GmvWVZk7hyEtvxWTFL/i9Vr4be4oNnGkEjQQ4ZcoWONjenJ2FM35Eu279keLTBL6wqfQIm8wWhY+jF//ZaZ5aiRg7tT+D7pW/rLOffV9AJ32fxDtC4axvyYjI28kWuU9jFMvHo91NX7UsLs9Id3FrMBrK4vRtstIZGROQqucqeiQORqLX1jN/gvCE3Djg2/daFPAeuSORYvsidgrayzeW7UGPpST8NWi2OPF/sfMRKvC8WieMwr7/2waNpJ9+Ej29daHbYUecQkpcKDmyq4CIXj8IVQx6y2VwJnnzkHz3BG0xwnU0Rhc+veXsWYL8Pm3lZjx2Fu48vqF6NyjJzpkD8F+BffizocXY2OF17RfG/L5A+WsJ7+Tn/5QWo6Oeb2R0WU6WmbPRLejRqNcm0LuxkRqe8HPfqkNeNnPYdTSditpd3+96UW0yR6J5rS3Fnl9cf61c7G22oevNmzBc8u+wMXXPI62tOcW+y5AK/bHqWcPxNpNtfDqeXqzQoadWtfPetTFPO6yh0Bv4GCDUOIK4Nae87EXx3arLuM4RmfgqHNm4vG316I0XI0KSlXIh4++2YB//XcB9s3uj9b7FKFj9uOYMnvbn3fW9P7BV7XIKOyJZjlT2E/j8Pf/PAkOKc7+pezPbV/NsLOQDhrEhnM+URobiZaC2k6PnNhoyNG0nbtYEk/ndt76Lic1Xl7R9YqGHMNE9UilDmqf0tnXSVINWgi2ox9LX4JdZiKiJUJi9020yAlN5NTrett5jhaVHe96O43ab18nidU2u+17MlJpZ/Q4VV85v5PZk52/0iazFzt9rH5J9VqVY0NE0h5T8UiP09ZY+SeD7M/JP94Sb0HpbJ1GS0PKTgS7v5KRTrsesYJpqcCed5zyEvVNYyLRvCupz/yXDCrLyTfZ32K7v3VdqkjVprYF+nvklJGsHU466TgRduqsmVrQgE66uVtN+u8KY92azTjwqDG47C+LMHbmG3jk6U/xz5ufRcfMcWiTR4POmYgOBQMxYOgyuIzDWbdRovx8s3uXNvFT3k0byYIGEbIf3ho4kHiouJffLsXx549Hj18uoGNPYlwwCM0zR6HDgQPx+VebTHBAac0bDbShH/PQXXjtTv9w/9fxu+uWYq/9J6NFzgKS6iK0zuuJ23quQFVYe7dXk8T4mYcHP5Z4kXnQnWiTO5yEbiA6d3sQ3/5QhSCJfyDowiZXLVrnP4RmBWPQIns69uo8Cx9+o+f+9RYFL+l8ED87fQnrOBLN8kdi/2PmYLNfR7W52raHjYxl6h/ddKaEQy4EwpXwhAOoZPbXXj8NzbJZt/xpaJVPe/3bYrN/p9EjleGiTp5YuhZ7FfZB685j0S5rLE75zUSsLnExD9YzpM3pvDTZEKpo9wefdB/bOwIZOUPw68uL4NNmcboFm8ZPoNUaZnWMNuqkHl1BH/oOewdtuoxFRsE4NMsbiouufdqs3hBf1kqOcqrx3D/OQ7v82WhROBztO/fHVf98BFXsL4/JR0EDdhjTGwIYmZz2COiNIsXVIVx81Wy06TwTLTvNx377j8PQqa+gxEtbDa8xd/o5LE3b9RYTN1VRNP0ddDngRrTKuxVTH/msLrdtAFW6qRRos39PjteZaMHx8PcbnjIvwQlrg1RsqUu4+8HYDCUR0kGD5LAduei7P9GkOhrOOYkcNNVPEk12Yzmedt7R5NZupyPx+s6uv0R5Ka0cO9sZVp7RSFQHR+rjNCcjcIJNSOKlEXFw0khUN7Unuk3R/eVA7bLTqT+c6+2+UZpYgQP7OjsfR2LV2277rgEf1i+8BecOfdfszNVYkA6TtTN6nNr9Ga/PHDj94/SNbaOxbDiZzaV6rcpxoHLt8aDvsexEcNqqetcXydrmwNZnPFu2oTlB19RH7OCA3XZbL7FQn7SxYK9EUT0cxOubxoRtyxLpU3WIHvMOVA9bZ6mIbZOal508Y9mqDbv9ydLasG1K7Wts2P0l0e9EsG003hgSduqsmTxooH9EWLUsneSTzuuD9xbhxbe/NYvCPaEgnSMqPhQAAP/0SURBVF69fs6LYUXPomPe3WjWeT5ad5qL629+0TwpLgIW1rPidHQjr1rUGnV+NHHIiU3l8QSRXH2KJYf8Ybzx9gacdnE/9Jr0DZplDUaLrr3RMnM2ZSIefGgq/CLGuj1O2m42SqSyyeFQWR3EMSf9F0+tqESHbgPRMnc2MvInoG1Wf9zz4JeGwIW0rtwbNKvB/eEQnn7rU1x+4yv4620v48mXv4VfO7srDVnMlspatOt6D5rns/ysadhnvzn46MsfEWZXh71hZhPEiWc8TaLYHy0ohxw7H6Ue9r/6vhH6X8EHvSTOwGzCUGKIjYfsqprF3HDTE2jZdSKaZ49Hm9zBuPZf86lH2d5api02xLaGfXBjn8VonTsZGZ0eQ0bnsbjozxPhYnbmjZbGyF2G2L6z6gf88ebn8Y/7X8WXm0oQYFbwVvCfNGyo7023SNehUhNEGjT0HbTvXISMvLFokdcfl177KNy0E9lB2FsLX7AYj730DTJyR6JZ17FonzUXHfPvxJfratgFHibTvMFOYdbifpqV9hRIVf+4bSZaZ/fjOJnE8dIbRY99hApPyIwls9lDqJLN19jjJBB0IRCqMo/HLHj2S2QeMBjT5sqmtxHBEDZuDqNV93vQLH8i54dRuOH6JVroIZ+a53dfrTfFoIHjoMqpiwenrZJUYDtZ0dfY52I5bjouxzCWU2s7pKp3NKLLlegax7HSZ7RTG+2gKY3j4OozmuDrfCKnPlYdROpVjq4VkXDqkwoSOboqyw4YyJmMlbeO2Y5m9F226DbFCmrY52P1m63XeP1qi/JzdCedxLqjarc9Ws87DTXvYuiZx+HaaZ81WuBA9q42JhqDThqJA7tP492RtoMLDuGxbVT5RiORzQmpXuv0WbR96XuiMRCrranCDvjFqrtgkzTVJRqqd/S1dp1SFTsP+3iitgt2WXbgIVXY19vzW6y+aUzYdiWJnkd03rFZB3adUhXb7uqjK7us+vzdtq/Td5WjsWSXLTvSsWSEPxbswEe81Tc27HIT9WP9R08jImbQIAbMnWs6XSJa69evhzckR76a5JQepQIKOl4axn4Fo+n4T0OrLkNQNO5j4+Oa14Oh3NzFFrUzz6GLcDVxpBI0sCGfV8R+xdvlOO/ih7C61IeuR9+HdjnT0DzzMTQ/4E7se9g8bK4ky+BfPb2KLRCsRLhWARsvJi/egPOvmoF1JWF07tEbGYV0BnLGomXOKNzZ+112CRkc//cYQs/JL7iexDlELrHa8AXzyje/+tvHLg+jtBbYO78fmuVOQrO8MWibOxTvfbOa55VWebhw2EWTSUCGMs1E5J44HT4/bSbsZn6i/B6WVWnunAbCtKcw7UOrK3h92LzXPwnEAcIBk1dId6HNIzDaIi9AmurFX258meUWoXnuOGRkjcMfr3syEmJQAcYQtTLBh1Vr3ejSbQCaFfRCs8LhTDsTc5Z8x7rVsAjWz6fXB2rlh14NSAmXsX4bmQ0VwOtrsQnVoR9Yfo15Nl068obLUcsxouX5bpK9YEiBM0mN2RNCL6Co5bjxsB5B5ukJ+83KhpB5Y0WF2QPEzfNUv7mrHKKuAoFisx9ggN0ZYHnB8CZo+PldCup9owoanbj9IbhoKC7+9Ih4hr1s9xb2CcvXuFPbqQM/y6sJVVBTPvhVEamcGQYD7BuWW+v1m3FvLtKeJjpNSQr1i4zAaFuBHWDg8K/QLmsYmuePoq2Mxzl/W4IaZaaTHhI61u2tz9ejZXdOmrl6xGk8Wh94DxYvjwQnA6yHAloKSCgWEfZ6qItalDGPEraggr2gWJbSaEVNJT6nxtbB52MC003SXyn7202dK6DFNvN7QLbM3wHm6wm6mVMlasKbea0eTfFFVqZQH6EASTv7PRSu4dwXMP3n9WmfFzUgORT0EO/WYxVmsZXaECyDP1CBBU8Xow31kpE3CS2ypuDwEwejUvtpKGsllp1Jl1KpdMb+CIaKWQc/ypnPrQ88g+lz3mOX8keI9aZeZAqV/KeC/VnJudnNUzUcG9oFpJrXexXslXH52Xam9dHAfWzX5i1Au+73cSwMRYucKbj2hueUhKL+d9MuOLJYh2p/kHnpkYUS6pD9okTaKNHN8e2pYF7FqGX9VERA4yK8jp88zjlJzddY0CShYa5hy96gKZjoCKXx0dSCBraT5xCKWHDSSFJFvGvsMuWA1Rf2HatoRDut0eTYge10RdchGfkV7HKinbzoOiQjSMlgO6yJRM54PIfVziNePyciUnL+nXO2w25DbbSDLdFwrnfOp+Jc2+U2xFa2D7Ta4D/IbXZkowQOEtmSDdtmHaTSr/Z1TmDBLjNWf9r5xtJ7qteqHMGuQyrjwSZRTh6pIlndBbv98dJEQ+nUjvqITWKd8iTJoGvrWz8HdpAo+m+TrZv66jUV2AHMePVW39vBBNU3Wm/JxM5bv1Ntk91+XZcq7OuSiea2WEHXeLDnTUkq/WL/jUpUVup/rbcDUg0aCM4db+N86ZVgclLl2FL0kru1JVXIOfBhtM0ehwOOLsKmsshSdBNwENlSUuO3lUSua+Kob9BAZEz6e+vtKpz7297GxV78+kbsUziMRHcumnfthQwS97HT3jUkV7uhh0QUqXuRwF9fPplk+Af8sCWMTt17oUXeaDQvmPj/gga17Ju33v4MM2cuxrTJ72HCnBcxYcYKTJ+7AqVaR846JA0amH6uwmG/mUbSPppkaAbyjp9HTqqNBklUeP6Jxe9h6oxXMXXO65g07VVMnrIcS19dYUiZVkskhcrYxqCBXltJXo0zLlxAQsuJMWcoWuXPwhkXjTVEJsicPv3iW8yasxSTpr+GSTPfxeRZb+Cp5z8AOTUJF8mIOB2HgpsEfktVJZY8uxJ33LQUl/3+MVz4uyfxj/88x+tewfqNNXC5RDRJpvw1WLNxM2bMfgYzZy3F+OkfY+KMZZgy8xl89uUPTOtFv8HLccGls3DZNfMxec4b5q0kHpYZNEE6BVhq2GR9p7vDzw/XlKFv/5X4219ewkW/mYeb73wKyz9cbx4R8tVw7LLCG0s3Yt4jT2HqtGfZnhUYM+MtjJ3zKr5eW2LG9sovivGP2x7DuZeNw60PLUaFWKZ0Sz0ZvZl+TQKThmmNtv9/0KB5wThc+Jdp8Ij8+knGfX7+H8JTr6xGq+z+JKsz0Wq/59Eu7258tZ5ElderCgrIyHY8AReKy2owfvxyXPnnF3DBxUvY14uw4PFP4PYxT+rJp70TUUHy7OL8w170hfD9JhdGTnoTV/zpGVxy6WLcee9SfLmmlCRYj++wnIAXVbUhvPTaZ5gydZmx/bFzXsDk6cvw9TclcLO+VazHuGnv4TeXPoXb7l2Ccr3iIBmoDxP04dcQrUpfIk9buMybPE49bzYyOAabK4CXVUS9vwUt1pC6zbMBFM2vRq8sX3YeDJYbIq/S33i/GEue+czEF8JsfChcybp6sMkVxKIXP8fD/Z/CZZcPx+8vm4qb7liIl95Ziyqm9fndzIr9HqokyddcHcTm4rqgQf5Izguz8dd/vczzpkjzR3D6/BcxfuoLtNP3MXHam5hC/Xz4xZfGJtkUUz8FZX4s9mJo0TL88aqFuOT8p9HrwRX46gcXSmWL1EI4XM7KavUE8zbHvPwqpTCP7YCmEjRQH9mOuZyWRM/OOukkqSLeNQ1x2G3YTmI07LwTETD7bmS08+gclySC4+iJrNuw65AqOU6E+jisqkusfrTvSCeqjwidk85Gqo65TRqiy3GOS5LdEXQQ7VDLZhPZ6Q5DaC0W/v1I1ulIXDviTWzUHFxPRI9BSaK2xbJ7O9AjPSlPG/Z5OxBk22gs8mTbXKwxmuq1KscmOKkG0FRvp9/1qTwT2a0NW6fxgobSs5NGYyOVOm0rnPIkyWD3dSz9x4Pa4Yz1WPYQ3TeNDSdvyY7QqZDq3CTY7Y9lu/FgX+eIbFm2pnOycXuekqQ6T9l/i+wxmgh2ffQ9HpJb2nZEfVYaCFudL3mrxoGlE+/3ocTtwwtvbkKHLv2xd+EQTH3yayapoiNIBYfpuHvpHfJ/OaBadWA8xSaOegcN6GzLsV++wo1zfjtILwiEXhd4+kXj0DprAloUjkeHvD4kvMuge+RBfxm5Xq3Ujh9KgIJD/4stJLgbqP7M/fuQqIyMETQIw00W+snXW/CHqyeg1d7T0O4AbZZYhNad78Gnq0k0VBPWPVHQgFSeqSpx+AVz0DKbZXSZi4KfL0DY3N00xWDR89/isKOGom3HgejY5SFc+ucR+OirYlNfrU5JCnGAbQwaiAx7Sfz/edsLyMgdZpbGt86biC49+mN9SQjVZEKbSVCvvWEc9ikcjGZdJqNF1hicefFs1DCPgJ7X8a9j0ZXYwOwuuHoJOhfejf/8awnuuO117JP9X+xz0Ci0yR6BX54zFcwKPl8lq14KF3XxUL/F2LvLLcjoNBkd2Rd75w/C4LEf4qIrZqH1fv9Ch9z7SSQHo1P3sTjqlwOwoQokuQGYt2uyfI+vwhDAdz8Lo8MRI9nOu3HN9aOw5NVX0THvd+jQbTCWfaFxRyIZ3IAt7mLMfeJdnHBKf7TvMop9M4vSD9MXf4r1FR70OHWe0VerrpPRJn8YHnt6FXXLglSgbn2nMmwNN1NCaTs6aMA6Zk/DJVe+xB5StKWU+ddQl37cP+h1tO1CW+40H52zZ+Dc346Epg1XBXXMrhUpdgWCqOSxUy9YgJad/osHBxVh1OR5OODoK9F2n34YOv4zs6FfwP21WW2ja6p4+cKX17KdN6BD9vW4Z9B7GDxuJfbteg/yD5/IdtOZcZXCrwAG666VPCedNgL75DzMsTEarTJvxuQFb2I98zvvioW0gxlomzkX7XNHYP6TKTjJGgpsbUR1zEQKkbnSDlf94EfHnEFo1nk42vWQbQ3GpHnfoZa6NnOt7MsMGZ8ZMyYTk5GHfeo2q1A0pPS2CZPOExl5mhf+dcfb2CunDzp2uht/u34S+g78BFld78Q++Q9gzsJvzEoUBUvA+ZiWjgCVtbkUaNftfo6bsWbM/u0fL0ViRRRXjQcDJr2GnP0fwj77jkGXzD647Z5H8cMWF2o8Wn0EVHC+2RB04bTfLESnwrvwwIDFGDLqfeybQ10f3w/vMH+V6NfjFuHNrHPkOm2eaWpudNX42Pp3KwH2hKCB7XTIyUzmbDlpJalADmO8a2zCksjhsSHCoOsk8YitkGreNmmw84kmE06ZsSRePXTOOV4fxzQe7L5Sfvpti03UJXJeox1W+3x0O2yx22STNNshjnWdIzZB1G8bznFJfaC22G1sDJ02CsxjCrmsUy7OvHs23t/IObgesMmCbC1ZIMUmRzbs49F3HePdkVTfOMdj6dO2OX2PRqrX2vak7/Uhkup3+/pEQUAbtj6ibdCGQ64l+i79bE+i65QlSQa7DbH0Hw+27mPdgbbPJ9JNQ2DblPptRyHV/hbs9sey3XiItuno+VWQ7TTEXm07TLRqwIZdH32Ph/rNtI2MVIMGjtPlBA+Mv09vL0iCKX+1hPPqhVcuQPvOo3HBn5bjB47RWgULwD9QJAXaTE7OshzfsO6Ry1Ns4pA+6xc0CPA/P95Y4cWvLxpuls+VkVwMn7QCrbuQ8OZMJDHric4HLsAXm9krWk7trYGLup76yBr84ZrJ7JMQ1ukxkm490VKPJ+RN+H9BA21e5w358dp7VWifNdssVW6WNQpt83vhqx9FXmgHlORBg2ocfv48tMqahFZdZqHguNkIe7Q6JQh/MIgaysChJBRdhuKW+97D+mqSoDoSsSODBkFe12fY+2ieORwtuk+gHovQIac/3v6oklQtAF/Qg7UkOx27Dkaz7KlomT8Op1861+g1pBU3tZvgqa7FtbcsRpvC3rhn6NvwuF2cbLzoNYb55g1B804TTEBnyJgVcPuqSNaK4Q+EUMxOPPTnervEaJL0SWidOQqnXfA4fnVxfxLVT3Hlvx9Ha61+yJqCvbr3wuX/GA83G2GCBhxTerxiTVkIx542Ds26DsTx50zH+uIAPFTg7X1eYp4jcNLFU1BSoaXhVSTQXrNfw/DxH6Bt1lC06DIVrWgH4xeswj9vGY9W7GP1dZvCqWidNQRT5q5kGzm41c5GCho0z56I3/9FGyF64Q1Xwxvw4e2Pa5F7aB+07TKN9ZqJAw/vg7feK4bPFzILmvSckzZTrfQHcNPdL6Bt9nCcesEMkmsFLYPoP/IZtM8ciczD+mIZSX/Yv8ksy/D7w3j7i0p0O7Yf2uXfh5MunITNnJsqvAFcdMUjaJ03Dlf8czaq+DsQKGe/qD5BjJn6ATrm3UcSPx0dCnuhaPab+Nddi9Eu+06WXYSMzhPQOnsIxs94h5VLAmNrXo53fVbRZKkb/u+n/Tzx7Hdo02UwWhdOov0NQ6u8wXjuDY4/EvgwbTsc5CfNWu8cMXOn1EoR2ddmpLR8uHnCF+ToDbh4jTZLDWHopI9Y1/5o32k4Tjt3NkrdIVTRXh4Y/CZad+6DzB698OzLG+Bhu/3hCvax24yhSNDgQfPYUqusOfj7dc+bVQRm/me5m1iX31y2GNk5wzF99iaWrU1FWT8z9KpQSv399b5n2dcj8asLH0E1DbUm4OH3GWjf7WEUnjIAb31YSpV4OVyLzfiTXtJBg8aBvYRVInKRCHbaVGA7kNHX2OfiOTwirNKr7VDFkmikkreDWPlE1ztVsWHnUR/HNB5ScRClL1tXdrl2IKQ+onY4iHU+mdjXC/a5+kD1t4MWyWw1gh+x8NoDflLm9pdzcd8r61P60ydE21oykmGTIxsiGs5xm6yJxDh606eNZDaazOZSvdaW1Prtf1C77H6Pt2ogGraeom3QRrRdSfRb9Ux1VUN9YJeTLDiRahtsqM7ONbH6RbD7JtV8U0Uym9pesHWVLPCWzK7jIdXrbB1Ej7lYsMduKukdpFqf+s20jYz6Bg0cxyvoraXT60FZtR+Pv/AdfnX5BJLG4WiTPQ8tcwfhzCuK8MMmEi4SgmCgio4zrzOOpZzhyN2zpg7psn5BA1FYD15724+zLhqHGpIKudo/bvEi76CBaJE7DR21mVrWAjw0fjmJeSmCPj3TrOX3U/H8K1tIEJiexKDz/n1IDEagWf7/DxqEw8X8cOMb+vTNc0hGC/ujWR5JRG5PfLMu8rhJ0qCBYTceHHneoySfE40UnDAefk+ZWUKt8Ecp2esFF49Er0HvoZz80k0SHwizcgoqpRLclylua9AgKPt0o2jaxyTYk6mT0chgW9pljcacJ76Dy7DzGpR6w8g/eiL1RYLfbSROvXSu7vWyzAryQR+ee/ZbtCzUJn7jcNLvh8LlqSCxq8Er725Ghp7jL3wUzanDg08YQUKo62pY9TCq2Ybjz1mIjG7sj8zRaJk9FSee/Rg2mddf+rChNoDDz5iBZl3mkHCPRUcSuicWf0IizTaz3nqbxu+v45grHIE23Xvhnc/ZNDK4sC+A197zsL5D0LzrQAwrWmY4v96s4WXz5y76lO19iHWabPr4vCuexZXXTMKwKV8g95AB6NR9EPbJvx/vfVJBNStCSLLLfjfdmgxmilDCWEGDEWieNQPHnz0fo6e+jQGjl+LPf3sBnQsHoE3BUBx8xhzcPfoj/FjsYT1pZwE/fNUklpxHFCCZ9sTbnGPGo0XmJEx89Cv4a2mv7JtS/q3ufvw8ZBQMxukXz0HA46GdVaDcHcbPz9d+AWPNiopxcz+DW2/ZYL9NXrCeY4Z6y78di1/80jzKABJoreZ5jHNaRsEA2vVUlleE31yxBJdcMx4znlyD3133DDoW9kGHvHvwxrslamxiGFtT4EWflWwLD/C7+uH+AcvQNnss+552SiLeuqAf3vtSo8ONQED1YV8ynUa+sjH6l/CLIfq0zxDPhLXfgL8MPtrMio9LsE/XkWiTNRut2Lf9xr5N8u6HK1yG91bXGP21zhqPg342GD+sZ95h7fcQqZ/entCua2/zqESrrMn457+fpN6DcPvc0H4EH62vwCHHPoAlT28yqwUC4RL4vRxGrFwIWzBuwQq0zJuAdtmTMW3B9xyFxbT3SoyZ8THH4hCOjyJc8LspbDv7TTuNaodRlsu/FGbcmrZtB9h/u+JhT9nTQI5rvDuR0XDSSFJBouX/tmMVy+GxHalkEo1keduIlU+006e6J5NoMtTYznOqDmJ0IMiBXR9JdP1jSTSBre/1kmhiZOdRH9h379SW1LATggZn3o2Z72+s19QUPQYTEWPp1EkXDZv8OndB7XEUPUcls9FkNlefa53vkkRzjA074KFgWH1IvK2nZOUpX1v/jqjs6Gs1vtSe+oh9R9oO6iWzY7sNqdp8tB3pumiJl6YxoHycvGPZRTxIR7F0l0js4IDdJp1LBJ1PNa2N+lznpJMkg93P26M+9ZtpGxn12dPAdry8oVLSATdeXP45fvXbIejY9TYSs8Fo0eURkrQiEoDeOP/ix6A9+PSscFhrhkXuzAZjzIM/mzqkh/rtaUACFvbi5Xf8OPO3E0haFZSpITn146Y7lprHDdpmDyMBmYH8n49Gld9HEhHC+GnrcNIZw+Dyaom0D+sUNOjRm058ZFO66KABApFXJuruess8Ovrd+jLdJLTLGYDvVqsf6duz7omDBqpvAEed+zgJyli0Zt26n1KEGncZyYYPZTVBXHVtEYaOeRrV/lp49Ny2CESwmrIDgwZa2eB3Y/Kcz5GRPYHpx5i2tMsagynzV8GjtEEfqkhMC46YimYFI9GMBPf03z4OvV3CMCbqaszkt9AifwqvnY52hTfj44/WkPB6sfKDWrTOG0yyJB2NRacDx6JG3keQdWUba/nfSRc8TvI6kERtDAnseAwe96Uhf0FeL73c2ncZyfZ4swKiZdYkXH3tEqMrjaW3P6jCPj2Yf+EYHPizUUZtIS916PXji9VhZHQfiJb5E3DMyUUIhkgumZ9udD/2tIIkd6MZCatWTux/VG+U8u+3zx/Emh8DmLPgK7z3cRXHrpRMPZnl60a9yWHSqJGxgwYt8+ei4Ohx+PNNj+B3107AyWfOR0fqqGVuf2QfPwZX3L8Ezy8vpu7DrCtt1l/BPGvh8odw3K/7oHkm69x1ON76pDiyR6Nb/e3H0ec8imb7z0Sr7EFYtYbzTMiF+U9/ZR47aa59ErLvxZsfljC/aoQ9FVj0wmY0zxuI1vnDceVfl1LfsiE9ce/HEy+u4TnaTuEQtCV57nHgcGwoI/Gmhsup+2dfL8aKDyvNXfakMKuzqAt9aH2Q7JQ6Ul/96/bn0JLt0Rs+WhSMRluOp4+/0R4GcszVONo2r1NYQLr/X9CAYjSrZRgKkGhFQmRngL/e+ghaZDG/nClod8DDmL74A+pSc0cFfqwOoUO36SYA1Tr/Lowa/yFrxpqwTjQNbOSYb1/Yj2NmDFrljMff/j2fNQky3xBW/ViBk88djede+86sWgkFf6BBbGFDFMCihdTU4pjTOV9kcy7I64mVX1WzzrSboAcLFq/iOBiBVvmTsHd2T/aPbJF/T7SBItujMRsy7TUNa3TYf7viYU/aCFHOudOORI6ek0aSCmxnKBFhiXZ47HPOtdFOrZ13NBLlbcO+K2fn01DH10Zj5GEjVQdRcNJJHL3ZfSxpCLb1eqEheYhQONfsauMstPFF3GceTzgS1w59AavMH+yGwSHI9kqBaCSye+nGOScSJdgkNZp0J7PRZDaX6rUqx/6tdtpEOh7sgEeyu8fRSFb3WJB+lNYOvkhsvdn6T1Xs8u3rk7XJziM6+BYPDamfI9H20RA0dN6z+ytVsfO3r082R9SnD2zYQfBkZTjpJIlg60tSnz6w22zbWDQaPls3AhoaNPCHtUO82yyDrqGz+dLbJfjFubPQpgsnOW18lzcMHeg89h7yPtPR4dUtThK8EDZEnF7+bOqof9AgRBLlx4vv1uK0i8dSr1Sk7oQHXfjw0xqzrLhF7iiSrwloR6I87amP8cX6WhR2uxHjx78Jj18PNwSSBw3Eb+jQ/8B0bbKHkygPJqmZjfaZI/Ddd6oHz7PuiYIGhieZoMFjaJ09mgRlFLKOH0fiF0YZr7v4j8/h+NNmooTzpo/EMKgd4kXaxIHIYURuk0Km2BhBAxKuCTO/RkZ2kWlH88LxaJ81HHMWkrwrGbOtZL26HvoI8yPByxuKMy983uygrwQefxlWb67AOZfNR+eDhuH3105GlTuIGk8IjzxaiVZZ/ZBB8tk8nzrqOhFlKpt5kuuxlptw8nlPkqBNI7mdjBbZIzF6+sfQ20jg1tsqvJgw51M06zqIdRuCjMwF6H7gKNRyPHnDZRg2diXzV71H4oSTn8Iq8rgtpW4Ub/Hjy+9CJG+9kbFvEfbJ74OS6lranFZzAI8+/SkJ3MNsyxw0zxqB/977NDza2ZG6CLBMPZLh9asjWFHzeIIsR3tqqGOTQHox6aTt6KABbY72+Zu/PoNKptFqilr2+ztf1eBn500igaZkzUf73L748/ULUe0lfQ5ugidYgc+/CaBtzgNo0XUwWnV/GMvfD6F8cwiVpX5sZNtOuuBZc4e8ff5IzJi/3ARd/nLTIjQvmE4iOx4du92Ft95z8ZowKjdxgl5cSvseyvJG4/ATpmnBCKutlVC1ePKlb9AifzD1qoDXEPz75ufhool6Qi72exXFRX2ltvIiTN1pNYDM0+gysrELTSeMG+56hvmPY1kTzcakLTP74p2PtYqAupNI50yraddMvSrQKdQcVKbKm+kCIbPiovDYOyJ65hzc7sBb8NTrq0yMSkWXUTodwjmaOmzR9W5cdPmjtEE3u50XMttI0KAv7ULzyHhcc+OTqGIxzy0rx5G/7Id//ud9VLJaAWxhOyLBqSBtRZt0LnqyGh3ye5ogTZu8PljxMbC5mOOdfzPnPvo9+1+6noR22b0w/8kPI/YlXahubEtYA8JYS+PD/tsVD3tS0ECwHal4cM4nSuMg2hmKJgn2+WiHxyY/8e66JqpvorxtyGF00tlETY6bc1zSEDTUeY6HVB1EwUknsfVuH0+VhNioz13SeLDrkCpsZ72h5W4XbN0I8VzcvfAr8wjotiCVMZgojR1cEfG17TuWDSaz0WQ2l+q1Tp/ZdZctJbNB++5xfe21PuMlGirLXtliX2/XKVWxVyvYc1uivxl2X0pXqcLWcX2lIXNCNOx6S1KFHSBKVZzAmBBvLo8FOyhUH5Juj5dEfSI9ppJOsO3Jbk8qsPs60bzYsL9gjYSGBg3MCltzdyoEn88PT6AYP25x4RdnP4pWultLaZEzHEef3g9VJAVyWukJ0y/lHzz5vKl423s4pMt6BQ2oskAwgBdWVuLUS0ebV5/BON7Venwb5/6Zk1fhKLTqPApt9h2Pk694Ejf3X4xTT70dFVvC8JJUiJOvTxI0CJI4+cgw1ihokDWSBERvZ5hFZ38Ivl7jYb1JUlj3REEDLWXXbeCjzluAVtmjSYqLkHn8Aqwl17jo8qnMayTaFY7G0AnvklzTpkhWQUKm18UFzKvvRJiSQKa4jUGDMElrgHY5YMxHyCDxbpav1/2NQ3sS/bc+KGN6kiKSyDIS0MJDHyUpnWCWtJ9x4Ytmh/qwWR7uIckOsA9IkCrCcPlCeP7Njbjomgk45sxp1MvDlEFmJUHbrlNRLN0oKEKOpI1CTz/rdWSQ1DbLmcQ6jMOIqV+wKaygdlr0VuGRZ75DhnklZG9kdJ6LfbIGYWNliFTPi3/d+hxaZ45lO0dj725DcNz5g/Dzcx7AKb/phZPOfgDHn9kLx582Cj8/cwhWrdPrLnU3Gpj3zGdowfya5cw0e1sMm/g29U7CzLGqu/s+VMEdqoQ/YCppiJ3aqZUqSWGmCLbRaPv/Bw1a5E3AhX+K3MHWmw2CbpZHW3n3mxrsXdgPrbJmICNnCtrSbh7o/zLnj0qWHMDCZ9agTRe2tetY1vlhHHFaf5x+Tm+ccdb9OPnsO/Dz06fgqLN74een9uUf73cRCvhwynnS63TqbjzaFdyHY37RC2f8ug9+cc6DOOGsPrxmFI741Wgce+4D8Gi5fLiCVa/FU0u/RUu9TSNvNtrnDUe/IS9SP7SVgIt9U8PuY1qf29zdTwatGtDz+mYO1PypKADV42HbB4x9Dy0yqRf2u/qwPYn+4uf1akemMXOkAjUmkzq9qjyJzvNDSfQZ1lsiXPjy+yBJf09j97Ll1vl349UVG3k96+utJeGvReeDp5l5ohnn50OPnodqjgHZsYIUejyhfVdez7GgPrj6htfxwNDX0TH7QY6JqdivcBheXfkj5x4FDFgw5xRfqNw8ZnPVP59FG17XvMsEtMwagKPPHI7TzrkXp515F045qx8OO30gDj97KD/HYPrC16mGKtaLNiIDURuMZaZgXw1AOmgQG875RGkEOTC2YxaLVNgOWLRTn4ozlKi+dt6J7mraG+tFO2w2QU62vDkW7DrEan99kSoJsp1niQ1bZ/UlUkIifaUK53pJqrDb3hh3QxsHzisX67eHQSLYBCIeEtm9YJPdZDaczEaT2Vyq1zpjWGTKnhcaun9DKrBJaLJyYsEeRw219Viw66X+iUfUbVuoT/kaH9J3IrHzdh5PiDdHNgR2HyeaOxsjSOEgOtAbrz3R+q8P7GBAojJs2481NhxE11n9UB/Y4yPRtfUfPY2ImEED44Tqf5F8PeEb8U3Ne/rNO8P1LnAeIfkJ0nEMm+WpFXQkK/HuZy7sld8XGbnTkJE/Evv2uBHihH5zF1N35rQJIrMwd5WaNuodNGBHBAN+vPxuGc64eCRJaxhuvTaN5MUdqMETL39CUjYErbPGoE3uZPMsfcFRA7Di/S/h93jN8mu9zlAbISpooM33mpFQt8odgLv6vErixo4h8dVL7kQb15X60SFrMMnHcKadi9a5Q81r03QXVJujbXbprqQIylieH4v22cPw3tcbDYHXnU89vvKzc+aTfBSRaE9H+/0fR5eDrkPuAQ8yrxEkSuOxb/eheG9VKTx6hEXP+YdrWIVqYzNh2pqWPYtYmg04je1VIUBSLhMye2OQbAZZb+1ELwKjaJbq5wkH8PcbXmbdh5q7pi1yhuGP/3yMbdSFnNjMQ9h6Vj4IHw/e/MBS6m4gyeUEQ+C6Hd0bpVWitSWRoAEJWeHhs0mmWO/8wTjtwqXm0YIw89Iz6noUwRX04IPv3LjimheQk/8Qhk56G69+4kWbgnvRKnsImmWNJyGbgFIFDLR3A8vVG0ZOPncx60kSlzkNLbOnY8y01aaf9eiD9qV48vkK8/hCs8IH0CbrcexN8r16Sw2q4cJf/vM0WmdOpP6HI/uQEfiefVJMvVeQBGpn/Vr2u5djrooEWjr10WZc/Jz7zCdoWfAgy51G3QzGjIUfQXsGSCcKusgCtGzdHyKRUzDBrEAQSdY4DpBAl1OR2kCPPykKYUTmDS2j97P/+cPcBdfT+EEMGvkJ2mVSt1pNkTcWl/xtlqmPmVzcnBcCVailXi68ehbtUZs6TkRG58eQe9AAbPKQ7DKfWYs/QesuU5gH61zYF4tf34wa9p+HBNYbrECt14NKBTBpL37qjt2Bk8+ejGadZ7FPJ6JN4R14YukqVFDvFSy7hp8upi+mropZV7+edQhSgcxz8Qur0aKgP1pkzUerzKGYOuc9tivA5jFTPeZB8wnq0YkgbdLP9vJ61oRzJPMQCdaKBeZrvmq8yEalLOpHgVapRo9+vLFiE8fNA8hg/TKyh7MvH8bQse8aO3W5I0TXrCKgaSsPvQJUI9S8xla607AIahNDvTqxBp/x70yrLg+wX4uQoRUzuYPx1rsk+CGR/Frqy4XOh0zneQUppqLHwYtQ6mUPSVns800lYbRT4Cx3olm1lH1gbxQc8QB1MAAtuiygnfXEcdTpFmanlRza4NZPHZSybb/521za8GC0zNObN/ri2Tc3sWu1kagXtVoFQW1sZj9W8Bo36x8I1nAs69EKVk/tYOsiYc3GRzpoEBvO+Xhp5FTZd9IkciBjET05OU6aaEJik9NYZMV2eiXRsPOWxAoc2M6jJLqO0c5lrDY4UN7RDrBdh0SOowORFMfZjtVm2xGNdV5QmbbDHk027DrF0okNtTe6zUpvX6/84iHW9YJzvSRV2G3fZVD1Cu7ObbyAgZBKO5ON02i7lqivYiGZjSazuVSvte3EtiFJvJVEgtPW+pI7wW5bvDvPShOP1NqrW2K1vaHQPJFojArRgb9Y41RzpPJpSEAkXt/Y0Nh1gk71LcPOX7qPNQ84aRLNQfWFPTZUbvScrHrYuo9le6qX2h2v3vbfplhlqD12GfH0K9h/K2ONoWRwrpUkwk6dNVMJGsjx1U7fQXp2ITrNoVCJ2WgtREdf7wsP+Olw0tFWQKCWjvIFlz+KjKzJaFU4GpdeO0uPvNIxrKGXyS91jm7k9QtNGw0JGoTogC9/pwS/vnAkyV+I+iaxZQdpQ7KaWh8OO306mmeTEGSPRBuSgiv/8jzdcJJx9kuY+he5WU9ikNm9L1ooXc4kEvjeuLvP8+xjlkGfXUNGBGVLsRf7dCFZFaHNeYJkrgir1mr5duSu6UbyqzZdH+K5IpKrSdgrcwTe/0KvbyOJYp08pLUnnj3bkI+MvBnYu+scLP20HDMfX4W9sweidR4JIMn8yZeMRambxIUkLKD37JOE6e5/MFQOD3msAgB+kSSSIoTXG8IWsUnaEIleHRfjAUpABKrW3AT9x/X8I5E7miRzEts6An+8bnGkjTxv7vQbfYbMc/wnnD0ILfPHUG8k7oUjcP09j6LWr+fPdTeU/oQ/gK6HzaQuhlGG4rQLXmG9eELk2MM8XH5Me34lOh3ZGxn7jcbgoR+iluW8sbIW7bWRZP4I5j0DHQvGkzTxujAnL5FWfj3xwploTpLXggS+VdYYjJuxIkLiSAaDpMsLn/0RbbvpDRa90bLzQuxHcllOoicqfcPtL6JV50nMfwz2yR2KZ94sR03YDZ+XncO+DHtIXH1l5LVaUUEVUVG1LHP+U5+gTZ7elDCd/TocM5/4hGVph38fx7fshE03osBBLc+xD6gr8neqnN8DW3hsvVanm3wjb0mRbrXSo8qo13QUtMN/LQaPeRPtMrUEfzLtoQi/vfYxPX1hdGsMLuAj8Xfjhnufpy1pb4kB1MUidO46Aq9/tpYt9eOR578wmwbqNaEir2OmfIxaPVNgNlqtZL1oP+xgBZC8bDebgTMvHI9mnaey3Bm0tzswYvIrcGvuYgVD7FMFe6qCLlRSP0EFTRQ0oCx68VvT1y0yp6N93v2Y+sibHGPqN/aLVpjQ7rQpaZCEOcz+dNFmK2mvftqfjDNs3pBRTrLMRhq9UMzEFwmAqW7KrqYygJNOG47WXWaYO/Sts/rhkr/MZJ3C5hGwANsle5VOFYwJBrUqQAEJBXBpPy5t6qg5mZ8BP777MYQuBz5oVtcoUJKR+TDefL+K9VXQIPLWiH0OmIxmXTkm84fjZ794EtUmoMHKhHzYXOJHWxNQ4JjJG4AzfjMR73zuRo8TH4TexNEifzxac4zc3uvlyMoM9nOYda1k0/5800K07jrIpGmVM4L9s5L6kE45Rvn3wc1Jo4q691Nfbg7soOYj2hSLZ/myNWkoHTRoLNgOVzw45yVKb4scKPu8RM5TPKfQduqjnXLbYVce0q3j4Nv1dCQadt62yOFTWdFBh1iOu+A4zRKnHqqD8pfot5Mmug12HVTnZHCc6Hjp7fMq09G7I9H6V31jOb1Ka6eLbpPKcfKKbpMQS3fO3UqJvjvXq6xo2NemCrvtuwY8WDXt77h22mfb/EiCjVTaafdfLESTUkmsfhSS2ahdn1h5pHqtyrFhj+9Y5x04bY2Vfyqwy4gFJ3/Zq23Dqrutw8YktkJ0YEflq0zVIXp8xfq7YvebJJ7+4iFR3ziILqM+iLZBZ+5UuRJ7Xq1v3RMhmrCrHJUrverTPiedx4JzXqK6RiNaL07fqU+jy0hkt9E60vX1gdrqXBuvLQ526qwZK2igUIGCBY6zq9d4acm4dsSv9pEC0ElUMMYLkrrwJjqELjrs8h5LOPWW0KFciQ6FY7F39wfx4dd0fuUYanM7MUlla3w3OpNNHPUOGohskBwsf7sY55w/Hm46+kF67eJmYb02zRtC/ynvkWzRse86kkRkPJ5/Yw01LaKi/qHjzD7YXBJAVveeJF4KGkwmaexnggYBee4iT1q2T5KxpdiHvTIHoVnBcKabZ1YafLNWrFFBCBc2u8Jo0/UBnhuDjOxx2DtzID76opgV5Z9dkiVtG3fS2XNM0KA5yd5Bx83CRt0Jpv1c/+8X0TKrD1rm9UbrnGHoNeRjeET4ma82FtTy/C++r0XPwZ/goREv4tNvvST3JEzhckO2fCRPITXcIbgyLBNYIHkixVRI6i83PkOiriDKbGRkjcWV/3jGvD3AvD5QQp3Usqy3v9iMfbv1QavMR9GGaTsf/CC+/IGkkGmDLuqExMdFstPtsOloljeaZHIUTr/gRZI6ls86hz1BvL1iM/brMcTsTdD5gBEocWsdwCas/CjI/iA5LxhMPU1Ch4IiVMj0qUPdame2OOXc2WiZPQkZuePRLmcIxs542ZBRrZoIkJhNmfdGZEPK3Clok/sofnbiVLNiwBd2Y+TEd5j/SLZTj3wMwdFn9MMG8sMaL4mkj6RWpJrtKN5cAx9JtfY0UJmPLP6M/dkfzbTDfu4IzH78E1ZKqza04kPRBon0HSCZ9+HH4hD6jfoA9/dejjfeKqY+PEztMgEr9Qc47g0nlqAiMrxNPnrtqgcDR7+OtlnDSfhHmsdALr36STZfd+2pBx9tTrvzs01/vOExtNLKlq6DzRs38vfvi1ImqWEZn37rQ/ucfiS7Y0xg59TzZ6HGH2Yd9Ey+HhnwS2XwuIMoL9ZqmBCuu/UJ2t9ENMvU6xXH4rTzxpO00mC0UkJvFyHh1matW4o5ljwKCGxmxdfhyZdWcXzwOtpP64IHMWnBW9BbL8xKA1PviJ709gI9nvX5mhDuH/YaHhz8Ol56mZbv8sIbqKHuNIEySzPnSTmsID/9JpLKKnBYznh8Fdp2G4zmXaZyHE0lqaf9bfCh3Ms2aTwoeKXAiIxXwRhepHpX+9UHwIefl5hVCXqspIZpjjp1MO19Pppncezl3IaX31vPy0rYT25srOGY7qHHE4rQsqAP/vz3V5iH9MacQj5sKfWjvV65SFtskVOEf9y8BBWcVzZUBfDzk/siI3MCWnGs680RL7zxI6uk1RdutpWOy+L1aK/VK9kzWPZUnHXZfPOK1yD1YB7l8NOeWf9amnZpuV4ZqeCjDKhONUZPamDjIx00iA3byUkmcn6j78LYsJ2vWM6ZHCE7P1tUD+nb+R0NO2/njpzzO1rU7nj1lGOWqB62yDG1YdchFdIjHSRKb59PJqpzPKKjQILd14kkVr9IV/bdtkQS6w6lfT5V2G3fk5FKO1MZp9HEM1bwSEhmo3Z9YtlCqteqnGjYNqTxGWsMOm2NlX8qsHUVqw72HBJPYrW7MRAdOIgl8Yik3W+SWG1LhGR9I9hlqH/qC3vlVDxJRnYbgujAQSzR+IgHO128vo8OesUS2Xeiv392Hyi4UV/Y9pPM99ips2asoIEImMjo/5w5OXY1cGkJNo8teLoUS1/fBDfJoZcEweejUyjvlY64j87pXf3eR8vMfrjozwtQxWzM0nLd6TIkj/8b380wjSaNegcNqLMQ9fjmO2U4/3y9tkydQz2a+ItIBbByjRcd80WS+qLbkY+ilCqXG67VAWQ5/PShuMSLrB73mbvwzfImkJD2YZ89TZ7PxHLwIeK/BZuZrkP2ABIMbcI3DW3y+uLbHyoj58PF2EJC3ab7PWbJfouckdgnuyc++XITz5eyUJIYlvyLsxbw3DgSvYnoftRYQ+b9JFlffAl0LOS1mXeiNcl018NG4/sN5SRD+mOoRxBqceq5z6B1J5Kb7Dtx0q+moIxFe31sJ+3HF9ajAWwT/5catLpB9hUSKUaluVvw538raDCN5G8GydgI/PGfi1QtQmXoVXlu1seP+4ueRLvcMWi93yI07zgOtzy0DNVShRQn3QZrSCy96H64XrmofQ9G4owLn6G+RMhJPlmPe+5biL1yZ6DZ3lORefgAVITKOTJWY9kKPzoU9kazrr2op1FoXzgE5YZQ8zqviB5wxvlT0aLTdOzTg7radyimzv2YvJANY/ki+IOKXkarApZdOI/Echr+dv0ykH+xfC+ef309WmcPZN7zOOaGo0PXWzB14Xuk6V6er4DbUwXye/R8YCpqXRqDJSYYsuCpT0ii+1E/M01AYs4T2nFWAZcqqpc6NiItBuFmPW657yXa1SB0yO2LA468hwReD7GQoGtCYH7GJmSOEl1r2hghorQ6DBj1JtqYoMEoljcSv7/6CdZRtkR7ETFmv2nlwZGnDTCPSzQrHE6COhSXXP6Y4coipRVM1vXwoWjRmecKJ2Ef6vSdT7XiQfmUMR3nI6Z79eWVWPz4q9StD2NnvkMb047+nNA7T0engt54950NRg9h/MAuqDQbIN7+35m62cS6KGjwHZ58+Utzt75Z1mOs72BMeIQ6Zf3M3KU2spwI/w/Ay8646I8LkbFPH7RhnbPzx2LKtK+MftzqKF0jqbtQGyMKQT1zwOMaowed8hBaZNPW2Y/NsvphwKS3Iit+ZLCaWx1RmSTpWnmgV35uYNPPurA/NrDa/iB1SMX/644X0CrzcWRkPYLWXe/EYy99yqOlLL0MqzZXo0M3Olbm8YOHMXayNvus5RhSMNCPLaVBdOh+B5rlTCHxn4y//mcJzyvs48Vjj72L1pl6w8cozgW9cdFVY9hGPZoRCeRt2ggUHtGX1z5ipG2Ph/DOV+tpb1uYdwUCbgXqgBeWfoCnnmH/qEkyTsHRkTLaDkgHDWJDjo7SxRPnrnM8kmLDdu5iOcdyuFSe7QDqu5wx5e/cadGxaNgOr/JQ+miiq+tS7TPlYd8ds/NQvrHqb7cvlXJsAhMdgBDUplg6t0X6l7OeClRGfdtkQ+XECqjoetVF+cdymp0y60MYbN3sybCJRDw4AYFERCNV27PTqexo2MQkll05fRmLhDnESvmrnGjINmQnidI45/XZEDh1kMRqnzPHxLJjlVlfMl5fxBtDOpZsHG+LbpL1jWD3veaDhiDWvCtR+5LNL9sCtSlWubLXWHZgQ+NFelEd4+lGcObjWGVIv8ngjGOVlUr6aNjtS2Yru2DQQJuX8Y+DfCzjGHtJ5rbQafZj/nOrsE9hL+ybOx9X/OslvPdduXH2Q1o2Swe8OuClM/kh9iY5eHmFNsySc8xMtMybTq6yM34vpamj/kEDEhT+99Jbbpx61nS4qEhtWKhn/0WC5JCXUbGnnvcoyd1g/OPmF+EikTZ3j5nO3NTj+Y1M2kkbIeaRiObNNs/839r3jchycTFKs9TchR+ZrrXeKNBVS/KnkWQOwFc/iPCQTIarzeMJrbopn7EkWGPRMacfPvySF5ngg+oGnPCrZ0nY5pIQzcGhx81DCa8JkKX5WM4/7noarfPHo2UW69B5Eu7ptwJu2pqfBOOzjzeQKOuNA+PQvEdPtMrvj+mPfkOSp6XdenBGj8OwwSxHQSktrVe5ujMeWdQPXHnj66z3aDQrGMN8+uIPNzxqghZKq8X92tbvkw1+5J80gmRvBtrvMx3n/GYW1hWTSAa11Jzt1J1i2nYNuU3BkQoajDdy6kXPmjvjWsouMvmH6yYho/M4tMqbiXaFw1A09yt89G0t/nXLU2hDot2skMSVZKt116EoJkl1noXXSDvzNxNJph9C6+6joDch/Of+l81jC3rEooby+388ieY5U3n9XLTO6YNHnviS/E6rRjworg7iwF9o34kpaJE3hQR5GA49rQjvry0jrSS1DATw9Atf4T+3jmOb1G/lJhAxb/GXyMhjv+bOQ4v8EZj1xKc8Z+IUxkZkS+YZA5LiMl5WcORdZi+C5vmTSRwH4u7eb6FSHSwWzfxMoIjXSF1mlYIJGkTEQ+k9/DNkZOoxihlomT0Dl171Aqr5nw+bWKYLtSTQTzy/Hm2zJlAHS9j3U9Eh/x4899I3pg56nEnL82+8cxHthf2QPdWsYLng8qfwHYlweUjtrcJXa2vw+8uGoLi0ivzTx9/V2Pug+9nOabzmcbTMnYtfXzwTm4tpJ6yXAjjjJ7+JEQOWmsUn6s8gtuDxl7+hXU8m+Z2OlgW9MX7Bu1ttx7x1Q6sNNLex/R9/U8Hx9gAyCkXEOV72HoCjzxiCcr9n64qCyIQnhejxHilHj+PoMYkQ+yWExa99hS49BiNjv0fROnchuh03EkuWr2f/8QqtSlGxTBtWcAQVZqy+9u5GnP+7YTjxzH4or+Zp81hODV59dxPrMwItu0xEq9xBGD37bRMO8vLad76uQSu9FrfzfOQePARr1ik8vJ75bmT2FdhUDLQvGERdMU3Oo7j6X8uYp+rrQW25F8f+eqZZtaM+bEW9PPHKataFfzEUYWNT//7v2cjQGMl8DM3Yl+f+YzLWVNYYG6j1hfD2e5/hD5c/hGLm5Wa7vRoHsjrpR+qRbAc0xaDBrk7MUglEOIgOGtiQI1ifvKKhvLfl+lgQeZHzqPrqMxbZ3p5QmxI5yMmga7fl+mSwnfM9GbJVp5072gZ2RWwLMRY0Th19igQmg9LvLL1rDEp2FTgBIUljjO1tnXcbCpUrvW7PflXeO7rv7L8XybALBg0C/I9OsXws+eskJ7qTqP0Keg5/Ce1ye6ENyVyr/CHIOaa3ubOpVdw1dBynPvoaOh16I6YvWWPuUBonUJuDhWr41dwPNhJxops2kgUNdN4QYrOMN4har3YnAO7o/yy6HHAH3v+2FNUkgX5sRiD0IwLhUjrwXsx49EPs06U3ln+0hc46iQn7zjzzTKLpZn+++k4FOnbtjeaFWmo/naSxCCddNA5byER8IrRklbrB+fZXbrTIGodm3ftC721vnd8Pz6/YbEiOl6T/wzUBtOraJ7LkvGA0yWRvPP/md+ZubyC0yWywdsAJQ81S8+YFQ5B7aD98/aNWAygwUIPvyv3ofCgdW5Kzlt3GokPeXXiBREnP3L/2JkltzlCSNtaxW2+0yBmPP93wkiEoxiy1Dl1fmNZsNEd71bPVPrZBhFsLIk678OnIKon8AWjOPA4/cyi++NGLcprzGx98j16jnsUhp/ZHW5KkLvv3wf19l6JULE2kUEvsTXCEuifZ2VARRqcD+jAvLZ0fiYNPHm9ePecn8Veg5saeL5CMjUZG7kzWdT7adp6FrB79cW/fD7AP07fpvogkigQ9ezYuv24eHluwwnBr3aj/xblPso390axgFJpnzUSXw3rjweFzsLaEhP+1zdh3/3FonjkGLbv3xK+vGIsq1t9bW82qVcIXDmDuc9+hQ8G91CP1lfkIyfmj2K/7XJzzh6dwzsWP4+e/HIJvNpC4kRV7A7VGP0MmraB+1R4S3W4DMGzqW3D79By99Cm96guNge1ftyWEzgfcRDJIWyiYwj6ZhKN+MdE8MqDHJ8wcoZ3weYke4ddeBwGSaj9KWaYblTz251ueoK30YzsHo3XeBBQePhIrV5dgE9vyzQYv+o18EdkHPYyWmXq7wjAUHjscc5d8yXxI9oLsC9p2wFeCVT9W4sCfjUZLzj3Nc6eiTeeFKDx4Di758wv4zZ8Wo+shI/H4kg2cqyrMYyM+Vqhv0Qus8x1s6yQ0y9Vd9inIPWIoLr76OZx41iRceFkvkm4PSbw2duQ8x7oPm/EZWnZajIzsSWhXMAD9Ri8zc1yAjaSFRWwk5DcxthWf/IB2WfeiZYGCItM4nmajVV5PrPxGb8GQburEQMrSDKhPCRNwPGmKXPbWGrZtIFplD0PLnGHo2K0nrvrPArz1+UZqch3KOY4reO37q7bg7ocWo8fBN+KBPk/h2/VVJsCkVy6KvLtYqdt6LUKHnL5olzkcF122GBXspmoW22/MCupsHDrmDMDsx78xASStugmjEl7OER9+W4X2BQPZ1xw3hQ/jrCumUh9B+LVaAJvwxJvfmqBBM72qM2cguh0zHqs318IHrfgAvv1hM/Y//ja0zZ1D+3qK9jwFBcdMxyVXv4aTzpqHTt3uwjPPfwF2jdmU1exLIn1IP+mgQaPCJizbkwDuCMiBc9qS7M7SrgBb98nuGjVF2Hdj92TYdrArEcidBUcXDQ0aCLbt7AzSujvCXmWwO8yfTQ36G+H0T6xVPtHYBYMGxpX9nyNHJzpEUuClB/z9Jhcu+P0kdCy8k47yCHTIWoD2+83EgQdMwy9+Pg3X/Hkx3l1VYt7trd3BtdmY7tSa59SZle5ZGVKS2H9rEkgWNBB8ZPFKJ3L67FPv4+9/fw6FB45CwQGzcexJE/Hf2x/D9Glvw0MOUyv+RgJdXuvDv65/ls6+gg7KpRzBYDWWr3gP/YY8iVPOmI78g8Yh+9DJ6HLgIyg47Alkd++L3101CSOGv44fvq7CCy+uwVkXTUTuAU8i87ChJDOLkXfARJz92xlY8tz3eOPNtbjoD/ORfeAE5Bw6nZ/TkNNtMs66cCQWLf4RG7fU4MabFyLvwJHIOngyZRq6HjAF5543G7Onf2aW/j+59Bvsf+xU1uMxdD6URPKQ4Tj6qCno8/BX+OTLclx9zUq07sLrj5lIIrUAl/7pDbM6IEh71DPdetxCRqWggXkdIInXqy+8j0HDZuGCy+9BwSF9kX3wfGQevAB5Rz6OvIOm4qCDx+CQA4bh8CPG4/hTH8flf32ehHkZ1pTqBYbKPRIosDndh+9twlV/nkGdDUPu4bOY31R0PWw4/s32rf2+2qxq+HxDNX516Sy057jY+4D78du/PYblX21AGa+/o9fz6Ny1L9oU9ELng0fgvoFPw+1i3zD/al574gUL0VzL50k2W+TMxb0j1uKqG8YjM/s27LufNgQcgP1PGo77Bj+FHyvYUr+epxdJryTp8hoyO2fJ5+jxy8HmVXctu4xGm6wh2JcE7bw/TMVnq12oCvlIGr34cX0Nevd/DSecMhK5h07CfofMQfbhE3HsL4ZgzMjXOD7LOTS1Kkg109ssAvCwnn2GvYmOeQOx7yFj0KH7WBxybBGqWW5QwRXpydyNVt/wKnZNLUUBqqIJL+Hftz6JggP7Ie+QGeh08AxkHrCAvyejO3VR2HUcDuj+CA6mTo89cR4uvXYpRi14C2vLPSa4QT4d4ZTawZITh5tzymerS3HqpdPRmjrtmN8L7Tv3QftO/XDIcRPwxMtrzSaCXj1rzyoFmb6WdjGEfdzt5D5o2WMAmheOoJ4GYW+25683PIONVT64/LVspwIdwPwly3HC2b04LsYh/5Dx6HrIMPzshH4YOuwZ84ZTEwhQvdi+IL9X+8P427+WoGP2CGQe+hwyMp+m3c7B6x99wj5W4lhQBnWToCItHjfHeCXKPTUYPPllHHfWFOzXdQg6ZA80rzXNPnAODj1mGW3iaXTt+giuv+F5fP1dJWq8kbZ6Q9rngDlSR36SfxeteVDRCvbrGHTJvhuX/m4ErvvHQnTOuxEn/moYnnz5K/a1VjvIejnHsC3vf7gOv/3DDBT0mI+cQ2Yi94ixKDh0BB7oyXFHbq8h15s66H7YQux70Hx0OYLzSPdncfa5E/DymytQTlPQoxoff/UDTr9wLtrlj0SbvOFo1aUvOnUfiL/c8iQ+LWFpLEsr0HymzsxUepAqHNkOaIpBA9sRkZOu37urk707BQ10l8q5a9TQZcB7KtSPNpHe0/Vjj0GR3d15DDYUzl1be/n1tsytaQJcfziBllRWZ6Sx4+E82iBJJcC/ywUNfurA6U413Ut6ldrQUDEAL/28L77ZhMUvvo95z76FeS+8hRfffh9byrVBnpxCd2RTOznGOhCgA09nlpcap9xkq6XPTRzJggZml3WKAgZK66ryopYMcUttAMXsg1IShvLaGtTUVJlnn3nUOP/BcCmJm8hDOPJMtLrA50JFTS1KXZWo8NWg1ONCua8cZV4Xiqs9qPDWoDL4AwlQGftvE2qC61Di3YBNVSFUBn5AmcuNcrcHpYEqlPN8lX8NrylBaS2P+6pRQrKzxeVlndbwdxXrsgmVrGcpmV+px4ditx/FNSGUVgdQ43eZOtb61qIivB4bXLzWU40KTxVKK2tQznq6Qt+bgMm3m0qw1utH3hH9cVfPpXCTKGtTTpF58/gz20YN0aaoEBI6b6UPNaxrqbsWG8l7S9ws2xfEOpcHZWQr0oHL7UU1r9VaAq1qEB/VDv+BYAl5qdgRT8hYlT/V5wltRKW7mO2oYBtrmacbxa5i1ncjS97AZMW0dxdqWNb3G8rwY3ktykN6AOJHVul7eNmO4ko/Vm0ox9oyjSbVXUurSkjuynHS+bORUaDn5+9D624DMWz6Z6TsQaz6tgSLF3+KZ5d/jg3VXkPCtbGeNoQMBCtIYOvu7nMoqa9LWPV3Py3F4pc+xeMckx+vXUtiHzRLwz1ebXdXCjfrWx3cSB1vph14UMwBvdFN2/CVweNje0TQ6/SqvEMh7Y2g1zdShyVV+K7Ui/MvfwHn/Xaeeebeg80RXZlBrQvVDVWsZzUPr0MVdVTuqjaBrJLaEErYF1vYkNKAj/3BY+yjihrOQyTsLIVUt4b/fgRvgH3Btiqwovr4aesmRsTvetzJxblo5VclWLT0DTz/2vv44ItNtGWNiRLWohwBV8A8NhIWk2YbQ74QXGzbu1+X4JHnvsCSF77Dt6t91GkIbi/r663V/oJm/4QKV5gSQFU160uzkt2qji6PSK7mtVK2UlLNOmklEOvtc+PbDZvwvcuFEy4Yh70L++C7krXM0KgkITQVcniaRxn0tgGtZlBd15UEsOLjdZi/ZAWmPvEc5j29DG98sAZbanzwKnBGTWluMNdr/LMuAW1IS6VpVxrtJ0OV47OvS/HC8x9j8VOf4IPPS9kmvfIw8jiZVogE9SYDGqWLlSir4TzAupRx7G6s8bOvgpwHio1OfRznte7vUEk9bGH/bqINFlNHlZxT/PiSffIF7bCYuuAx9sXbn63DohdW4rkXP8HqtTWoClM4VsybUdipwZD2JVEHSwkUY0MypsZHUwwaCA55dWR3dbJ3p6CBQ4p3xmMJuzLsPnREJHpPh31nXNLUAkn2PgQSjYttDZw4S+31mUZi2ONud19xtidCfyOc/kl1Bc6uGTSgEycnS48pmB0OyKzkVIdIWEI+Osx0pg2RDcrNp0POa7RDf5jOs9an65WMpDf08OkE0jEPBf4XNDCOobnD1LQh/SVbaeA4uwoe6G5ryF8Nf3gLyVUtfGGRZa/pEy11D5Dom37BehLFLdr0P6JnfQYqeazcPDKi43pXPIIkDXpdprpCx9jBWvWvt/1FyFlQe64xQ+bro6PP47pMS4v97N+AbkGTzAVJuELamZ/H3V6X2Y1eZIq8hrbCugfLScbLmDdJkfJgRiEfK6znsENVNI/NJC28mOfCfr1BocKQmDCZk16h98G3W9A5/2EsW1HFalaScJAsi2TwEn1qpYEJGsi4mE+Q+emRjUqdFwljedo0UHsAGH3QZvV8vPY+0KscZZ+8iJ80Yl0jEUMlUdKGkCJlZqU+JVjLNNKV9MEmaEyY1eok7GEf07PsAPtDd6QDutDcUlWZbJPZJ4HpdHtau+/5a9iXQfzyV8+hVc5AtMkdgnaZkzBqwjrWX3lVME+2jPVSUEKvnFS1jLD22vHe1IllhIMlPE49Bquo75C5mysCrNfy6c0E7Cym9zGfujqrDay/qhgZ18zTxEtq2PwIcWWuke9BHtOrBamnMvbJIUc/jCkzfmCTpfVNPB+pU6QDRNDr8guzzgp4kURq5/yQ7uT7y9hfenc/SS87WcGAyCsef2T+bvNSCaNPklJlp3z0sFQgXM02caZh/fUMhTZfDWgTAq0yUWBMauY5BVRAXcFFQsuKmD6Q4+52se8qWRbLYMZOvYJ+2dI65kvdaZ6SzlRvreQgYfaESjmdkYTX6c3onn3GWtOGWJTRP4k358Qg2/fxN+UoPGggLrj4Tc6JIfjNM1oWeE20aDPGWtqZ3ww6HmKexh7ZWBM05He/bI36CoVpE9RFkJUxryzkAA1rc0ttNCgjNG+jYL952De0n5qgNnssMXrzULm1zNzF6/XmAk4dRpcaQwHmoz4xHJ6DNMx5RnVxa/8RbdpJe9ShsMzSo/HDfgxVG5ugKSLAon0s0wR6aHN6s4geWTCvFtUcoj7l2AbrGdKjaqyD7CPEikmn0iWLo0Tpq5HgzKOJsCcGDeQkiqQ4Tvb23Kxqe2J3ChqICKuO6aXTP4X04QSx5BzvrrZYX4gU2GOwIZuk7c7QeFC/S9TvjUFcncCcRHNDGvEhfUtfaT3tmrCDaqn20a4XNIiDVByvNFKHdFm/jRCbFrSRn57D/sc/FuC22x81z23rbrnZ6tCQt7qEuzpYV1aa0GMUZISst14N6Q1tRAUJ1sm/nWr2ddBmkB2yizB22gryvjriqkCGYeWiVDsSkZCBn0rWIwFaraC730NGr8C5l0xCuXg4GbPZdZ9tMIzPRA7E+psOQiGR6oDRj3Tyt39Pxoln3IF3P97IY0GSYTLtNHYL7IlBgz0FIpxyfNPObxpppCFoHpCkV/OksTtDf9tkx/UJpqWDBk0UdtAgrdf/jx/Lq/Dv20bivvsXoMYVuSka1JJwcwuaCXYXlamuhvNrX49I3YN+bQLnQzl/nnjOHDQrmIjmWRPQOmsURk17C66QH76gi3YRIjHV3WSPMtiBqAsahELwBMModwUxcPhsXP2PoVhT7EEtj+mRjqCWuGu1hgka6EO3r5sS2KMBHzYWu3DzXZNx671T8d16nxYpaNELgrrzn8ZugXTQII000kgjjTTS2JWRDho0UWjpsYIGV111VVqvMTB20qN478NV8GjFOQlYREN17FQ/dheVqZ4KHJBQ61lzfdeqeS1531QK9Dh8OJrnD0GL/JFonTMIN93/LCoC5uEe6MGLyEskdzQZl56D0HPyvlAYTzz1Kp5/6R3zms/aMI9pmXlYu+7XPSqiuAHbqUeZmhTYZj0OMnXqAqz86BvUsl/1dguf9EGjDZm9K9LYHZAOGqSRRhpppJFGGrsydpmgwd133113NDbSQYPGhZ5JvuKKK/DnP//ZBBDS+Cm0wZ/MrcZVap6rj7DtyIeR3cUUVU/WVx+i1FrNH2bb1nyntzIMwP6H/ReZBw5E3iEjUHjgEBx82EPo2/cVfLvKDS85p4ILZuX/DkVEwX49z89vEt05D4SDbEMt21DFs1XmOX7TNp1TGq2kaEIwGy2y7X5/ED6/XkWq3Q7Ux3q+X3uQKPSTxu6Ajz/+GHvvvXc6aJBGGmmkkUYaaeySSK80aKJIrzRIDG0yF1mer9fCVUWYqdirREGW3UVnqiarq2CBKLV2jg8HAygrrsLzL36CJS+twcIXK/Dki5V46oVyHtuIpUu/QPGWMhLP6oiYHQB3JFRpjnf+69cGlqy/Nho0O/RrU0mza6WXEiHN+ogEDZrY4wnqVPWtHtegbvSfwgba3DEsUcQnjd0C6ZUGaaSRRhpppJHGrozdJmiQRuNCgYL0RogJIL5lNgBU0ECvh7OCBmKpu1vQgKL7znrcwGwnz99a0u+uuz/vZ8N0X1/pyEJ5XQ2lgt/1momdSD5ZR6naEdMeiepZ1x+R2IEepWhiQQNHD/o0/6ifKOY1BFSMggpp7BZIBw3SSCONNNJII41dGemgQRNFOmiQBGYdv0RLDiRkZ+JgDknbXfiY2hAKmTc+iFL7tWpCIrLNUz5U1LVFwQQt9zcMnJ9qcy2/1/3emXD0LZH+bTHHtSpBK5F2dkV3MBx9bNUPf0RLGrsF0kGDNNJII4000khjV0Y6aNBEkQ4aJINIMz/EuyT67jDtrb93A4hIh31mVUEkaKBVE3odBH/wVBBldUEBF5vkQigcMGmD4RoeLuGnXm2o8zsCiZSqSugOuvpFbeJvEyRw7q7zw7SjiUHtlkg9jmxVo3STxu6AdNAgjTTSSCONNNLYlbHLBA1uv/12Q2TTm/LtGDhBg/SeBvFAVm2TMaMisVJ+0ffdRmWqs98snBCFNG9C0PJ1HWa7zP4AZsjpXQlMxxM6FeRxvWJSDy3suFXuiQpSJdUCH6Wu8uYz0ipzqWlHE4PaHUsMmqJCdk98+OGHJmjQvHnzdNAgjTTSSCONNNLY5bBLBA3kKGmlgXb0V9AgLdtfpOvLL7/crDRI6z0taUlLWnaeaKVBixYtTMBAwYN00CCNNNJII4000tiVsNODBvvuu69xlO68805zLJZDlZbtI5dddplZaRDrXFrSkpa0pGXHiPN4ggIHCqKngwZppJFGGmmkkcauhJ0aNPB4PMjOzjZOkhM0SC+V33H44x//iKuvvrruVxpppJFGGjsDn3zyCdq0aWP+FrZs2RJz586tO7P7wu12Y+HChbjrrruMfPTRR3VnmibUfkcX0ov00xSwbt06EwRz2l5WVlZ3ZteC6ql+keh7NJYuXWrONXU73p2watWqrXYnG4zVr/WF8jzhhBPMzc7GyC+NNHYW3nzzTWPHsudU5+WdGjRQgKBr167mDst//vMfMwDTsuPk0ksvNasNYp1LS1rSkpa07Bh5+eWX0bZtWxM00N/DOXPm1P2V3H1x3XXXGYfEERGupoz+/fv/RB/Sz54OOaIOwXJEpGtnQWMtHvHXcaeOsWzVbsOuDAWj1D4FOXbVAM2Ogt2nkvqQo3hQAMLJb1cM/Kl9GmOONJXg5PaG9GjrdXuOLc1TTjn6vr2g/B1bTnV1406d/Wpra5GTk4N27dqhY8eOxmlq3bq1ueNii461b98ee+21V8zzafmpSEfaK0KfjkSnka47dOiATp06me/R5+1rnbyi06QlLWlJS1oSizOP6lG8ePOo/r5J9F3z8e6+0kCOjuOMiBzLeY92foqKiramiRY593LOdSdkT4FDWO1gyp5+11qOqNNWBU3U/mgSc8kll2xNo35vSJ9Lt3Y++h6LLDnnJdFOv00w9T0a9rWNDVtPscS5U56KvTh3D53rmjLUx+pLm+grmNJQKD8nH81fuxI0BqIDtY5o7DV28EC6iB670XP8ngDpLTrg64j03VhtVjnx5gHpNprUq9xYaZNJdH0dm1EZqdjITg0a2HsaaEO+ZcuWGXn99ddjSqJzafmpLF++POZxR1577TWceeaZOPfcc833WGkcSZZXWtKSlrSkJb5ojk00j06YMMGsMJDo72G0g7C7wSZgupsRC875ZBKPAO6usO/uxCKnexIcUiGHNBZsXTiSqvNqwyYvjkTbnU34Yp3fmUEDO+9korbGG1OC3Q6lTSNCyBydbEsgxSZ1uxJBVl00bpy6xRKRw8acR2MR6UR2uTtC+ooXiHFEet9WW1CgL1n/SWzEmjtTkeg+soOMqQRsd3rQQHex5ShpIGsXfz2yEC3Rm0bFSpOW/0m0vmLpTMecVy7GOx8t0WnSkpa0pCUtiSWVeXTlypVmLwP94dZmiHtS0CAenPMSpXdEbY921Pa0O6ZOu3a1u5WNjWT9F8/xrc/d4Hh5xCIw0reItAhPNGyb1fdo2Hk3Nuy87bEgUV1jBUXiOfgKjkjfGkOpkICmAmdO2Za5xCF2u1IwJjpgoHZq/Mj+ZT/R5xojcFCfMbe7IjpgoD7X3ya1UePKHpPbEjjQdU4+EpWpflM5Tlmat3Tchsa55gbZczKx84+upx1Qiy4jFnaJoIEqq1cuynmK5VSl4nSl5X8Sra9YOtOxK664wmyEGO98tESnSUta0pKWtCSWVOZQLTtW0EB7Gujv4e4eNLAdlXhwzsdLI53YafYkh9Rpk/S0JyNZO9WnThqb3NSHlNmPudh51Nde5Kg71+p7NJxzksZGKnmLCNrpJHvSmNjecOakho45ez7aleZnm7zGCoZFBxW25fEMBw6ZVr7ShZP3nmSP9rwiHccKtthBhVi6TwblaffN9ggiK+jg5B8vKGD/vVYwIhF2qaBBIjjOVeSHJQhSaiMS5veAXtvoRwi+yHmd5icPG+EJil/fmjSkS6000GMhqSHI//xGnY4u9V0SUaqPanbxeAhe/nLz04MaXlHDb9S3VB5JvHtATdpqX7Ql0yovD/lMe/xhtpPnQ3VpAhRPXapIM3VNMjh5y1ZZoLHNOgkrJ9o0k8jspT5yjv8pn+eD1G3E9nlW9dh6bZ2Y73VlMP8gvwZ4bYDnAkwQNhlVRarAc0Ee19eto0PpJDrHgwG2UK2P1LiYl/B6JVYZTnm26FhYCVRPtacRwDylKtV1qyqMHnlga5kUflc6nVcNVGfVwK9kddfrqiDPSCJQihImUIP5VRfrU/maf5QTRRk3JTg6lUTDHKeSwrJ+ifTp6FbiZxLaGMqpwWr+8lJCRrUI898QdR6kDYecPtjz8JO/XXHgvHLR+cOdDhpEYDtljeHs7ipw2tRQArO7IFk77aCB0tj9nQoBsR850LW23e1pQQMhmgDWJ7jS1OHYRkPHnE0id5W9SOy71PGIrWDbdjzimCrs4JXytfPek4IG9jiLvjvvwJ6/JPH0Hw82oW9I0CEV2EGleCuP7D5M9nd29wwaGE/VcUsJ+fCO0HEN0jE1Z5RMx/ip38ZRNenMtyaNegcNHF3GEp0z50kapFqHedZ1z/8o29YDuz6cNpkGqlGRBtlqiJBuF0WkSISJ2JogVRtzLqj7asqUnkS0KynVPOsxRMukUpRCpJZEbas2nevMtUqlumjy4qeImQkcqP6qk46XU5i/kupQiPUPK8xTl6eOB/kPiVwYtRRdK2yh8LupiOrH1OYCHVf/Oh1vKhKBqRcTNQrRVoBEdVf7TMGRT+Wvn0blxRTVTe3mh6mK6qR267g+HXusE6VR9bZWUemiSawKcMpsYtiqxyg4x6U3qcbRoaMq57fSOOZXd8w5HIGTcM9EOmgQG875RGlsZ0bfE0EOnBx7le2IfqfqyDbkepFWx3F27tDou319LEfSaZPS7MlI1k7b6VYam5BId8lg24ccYuXh/I7Vb0rj9Fc07LxinXfOSWJBdXfyjkcy4iFZ3jZsoiGJJgK2TcazXdmkrou2dxGX+tq7PqPzSTXAp2s119nXqg7RbbKhujt1cPSs9Pb1Tt1s6Jz0pc+GwCZfychhtG6dNtWXVCaDdODUKdHfDOnDSSdpKFR/h0w7ASu7DolspzGg/lZ50qejW7U7Vn9vC+x5KVmQxbaL+rZ/W65NBXY71G/xYKeTbhOh4dbTCGh40EBEre4Oq3xNOaMSQ0wq+LXW+KgG5m4W/+elSmLQRH1/G/UNGoSpxLAhWdK7SHJFneh7Lc/ynIIGUrz4lkR6DuuLh9dKdiPFy9SMuVmEhr9lgrKlsFkJ4OhBnySautsqQu/cqU6GrWXYEHXXugWt6lAZlTxSS3X6eLRO/yqH1xl7VtV+ko/0rT4S8bXFOS7SXcn0HEMKDOiw7q5rTIl8Kz8znvTdxWyrKApeKM1GHuNJ9bEpt04vPB4kGQ8yfwUZIuWorjyvepm0lG2FbCms9qvSzmhmxs4daydo5Yj6wBEtLzDXq14KOtTVUW1QFvz1v0s9RmSzkbSSuhlFCRujLbst6vrc0YN+Ojq2de8Ij2uFi/07kkVktYF6UtrV9z0V6aBBbDjnE6WRA+OkiUdE5MjKQbfzixY5molgO76xJF5/2M6W7j7ad8odieUMOuekpz0Zydpp609p1JfOb0kykuUQGMchtu0ult4T2aVtA7HsxTkX61rZh30+VtmJYF+bCux2RDv5tk5jtUPH7LuosSSV/tL3RONG9UrUfyLRieoR7/ro9sUa+7Ha7egsXtsSwbZLhyzHgsirTQSjpSFlJ4JtB8lWP9j1qK99OrB17eRh20BD800FiWxN0ph/M+2ykuVr90Esu4sHO5Czras/4qE+dXPSJQouCKnNUNsJDQ8aiMTQzXQcVuOE6q5o0PAgL495mNQc1p1FfhE3UNKt1zVx1DdoIKdedMs495b/K53quKZ2fYpahc0vkUzdgRZJ5VHpfHfSu9po+/n6XmdHhn/WfZrl++Yc6Y8RaSBicynDKYuigISW0Ht4vUTL6PUYhEPDIxRLBJ+kqy59pJ4qkL2h77qOovNe9piH//mUVp2lDhRTM4OBOTKd8jXUmGlUdmQ1g/osaMpWb6pVpu9VjL7wU8l0rer20/5XIhWipelbk2876spWOwL8rrqqXU7dFLhSHbyoYeklPL6Fx4tZB9ZOFam73rRd353f1GWI13ipBbVFIclIm3VRJEfzmIV+OtKkoAZLaY4QOlSnw0BYeq+hKqU9STVPVzGli/0grUbsS4+2RB4F0S896hNZ2aL+q8t1j0Q6aBAbzvl4aeylt5J4d5Nsoi6HR46tHCR92qQkntNk11XpRVaUVn1gX6/8omETmFgBA0ksR9o5p7J3PnxYv/AWnDv0XRNebkw47Yxnz7b+HF3YxCTRHWuRTiedk7/dl7H0nsgu1efOuVi24pyLvtauh0S/6wv7+lRglxnt5Ns6TdYO2az0Lf1F22+sa+PZu4iydGuPF0k8+7Z17aTTMdXDJt2xCLpdh3gEPZbdOH0fK89kiGWnsWDrxGmTxClbYsM5Vx+xgwN2ebHs3YauTTVtLNg6sANVdl82JN9UYNddonbrWLTNOpCOHH2lKmqHA9mhk6d9PBbs9idLa8PWZ6y/LduK6NUlyVZj2LpMlDa1GWo7oeFBAy2nprcqT5NOf9gsra6EN+TBqm+9ePzJb7BmYzVJRYDnqunY8lqmDRovl07rnuyhpohkQQO9ycL+dPtDKCcfqCCjqqZUUSroYZRSvRXkVKXkAcX0/iuYvDrghztUy65xUfVudhXJAa836t9dIFOz/PwQWbhusvvI5LUvQHV1CNVklqXUSQl14fWz4WKzZkm/y5D95JBCeI3SypzJ8t1eWjLzK6NuK5h3lXRO3W7hsRqWG6JNB4Oy/wB8LMQMCY0NQ3GVgCSMJu7idcqnuDaEje6AyaOGx2p5zKMhofJE6XjJC8tLMf3xT/DBqmrUqgkcLOEQaWCtD2W8roSykUVWsZ/dlCDLVcCg2htEBft8E/MtZn3LqQ/pJMST2ldERFsBhMYihRryalsF61+jT9ZL+i+TsNxyT4DC417W212L2pALnrALXtZDwQUfM/AHAwj4mJEJirDx/Aj6qctQFdzU36ffV2PeU99i1ToP3OwPo1MTMIj0U5h5SJoWZGTqwYho7gjJBqQ+2oDLF0AlO6a0xo8ajx/l1V5Uebyo9Kgf2Ce0mWL2V7nsm3r0cgD5KQEjfo4Vr7HrPRU//dsVG3ta0MBx5hM56E5bJXKgbIm+CxnPGbPJk5ye6DuTCjw4+egz+rztuOn66GXlSm8Tk2hnyr7eEbuuOh8LTp3krO4SqHkXQ888DtdO+6zRAgd20Cde/9n6c3RhH0tkP0rvpHP6xT4WS/f2+Wgkc/6dc/a1jREwEOw8UkF0QM2Grb9Y7ZDtiaTEIgYi2861ShcNO29Hosuw85BEjymVa4/J6H7SmLMJTLROY9VB7XHGtsqLHudCor5PBrtN8WxZ7XLSRK/+EHQ+ui12nVIVu3z7eDLYZTVkTwanT9Rntu2oPk6+scbctsIeY7HsRb+dujmw65SqSD8ObF0la5NdVn3Iv32d/t6rnSrXGRuO6FhD9Kq6OHmkUq9U21z/0dOIaHjQgBOC/Hb5mSI5qEBteDM2VgZw7Enj0SnnYSx89jOelpNbzjSGIfF/bf9GhqHDTRzSZbKggfMKTI/HgyeX0KAffBJHn/QAuh/eB92PHIHcgweh+1H9sP/Rd/HzeuT97G4UHncPDjutLy7600wMGPkBPvuKveUhpfXVkhST0e0ukKlZfn7AH4KPhP7ll97m4OqPM866EYWHDULuUQOQd3RPjJ36riG1CGmZfrm5l5ocMmCRV35QvvziGwwcMhm/ufRh7H/ofZS+OOCoh1BAfRce2Qe3PvAsyItNIMYfrIG/bkyERfLr7o1rw8IFCz7CQYfdz2t7o+CYXuh06P3sryKcdMZd6DdkLF555XOS+xCqAj481P9ZtMrtiza5D2DfA27Gc8tXwxt0o6RsA26+cyQKjuiJnCOGofDnw9CNdRha9BLLpS5CPixcuhzHn3sP8o4cw/4fidwD78OJp94Lj4angk1hBVD8jRY0CJDwby6rwoiJc3Bn74k4/qxb0e2oB1B4xFAUHDkYhWzvIUffjQOOuAUHHX0Ljjjufvz6oin4zx2vY9FLG7GFJLWa9fL6a5mX5oUKVjGMIMXLui7/aAOyezyANlm90fXwO/DFd5WoqQ2xX9k5ipJQ19oGsm4bvyYEDYQ6I2VPal5Q0ECHP/n4a/QfOgenXdAf+3MuyD94JMfFKHQ9sidt7nbsf+RNOPCIf6P7cXfj4JN64ZQLxuKOh17Dex/XwOdjFtSr37OF+VWroD0SP/3bFRt7UtDAdvISOStOmmSSSBeJCL0D2zmLvgNpk5N4jpLdnv9j7ysA5Kyutnc3uxvDIuu7SZAEhxZokZbK19J+UKwGbZHq99dwt0DcNllJNpuNbNwFYkiAkACBBJLgEELcbV3GZ57/ee7sS1+mM7OzEYjMgZuZed+r55x79zznWmhdlMZ6F+59JBKosNJEqvfXS1pt8G9kJVxwWBwHAm32NkbirZ1/dqPdLtdwae2g2Z6uOcPX/j6U7Hqi76FkvbPShso+FBC2hOz5xEqR0tjrFa4dzZGd96EUa5vtsg8dA+xgJrQ/WmQH4Hb5ikLrEPo+EqlvWmlaCpqb0w3RwfBd7Vf9WxJUjkVWeQrNkdK2tH4W2cfA0LR23tjrdrjIPkZH0heR3TmleoTyrblgz1u/Y22Tvf1KFyvZ08USWmITaPy1pw113IUje/+INpbFPkIdATpop4Fm/Yz9KmAiV4ALNQSkd9w9iwb/CLRLL8G8F77gn0GtNNhLtMHItPM1sxoAjdO408DwMtaVBgoenwsNHjeKxq1Cuy59kdB5CFp3LUVy5uPoW7wCW8jml9+uwz8efRmndBuC1LRRDKUEYUPwrwfmwuHVbKLL5HlMkFTNqFvwi5kV9QgsUZWoS5NnfoQ2OWVIyClCYs4ADCxaY9QSBPN+7DEQvnliRmY/Pr9KlQlOXSxg4043cs56Eh27DCR/n0Zq7nCkZg9H+lnPYOue4Cytz98AD+MKdAXMLK3OE3DDTYR+zbWj0alLPpLTmZ71a9dtPNp0LsfCpXvRSLDsZn9wej2oY3nnXfwMWmWOQ2L2SLTOeQr/fnQmXJSVy1uHBmZ72U8nIyGDbcylPDsPQ5+hS+GiLnj9DtPGkunvIZX9LalzCdpkDUK3856Aw8m2yFEXUIzgoaRq4qGSHBBufz2cbG8NM31u2Q60y3qGejaObZ3IdpThpdc2YsM2D95a48XkWXtw1Y+n4tSMQrRJ64Vv/aQUs17Zj3q/G65ANby+SgQ8cmj52RYPHuo7H+07jUZqxiS0zXoUw0oXmi0eAY0fagT7TPC2BblBTiD6si+ItIpEN3FIYckWMsjp8eLDjW6cktuTchiLxMyx1NmeeDz/Q2w9AHzwsRtDSz9D9tmD0Doz3+hRh679UFq+Di6y0uetpb4crvnNo49OFKeBDBW7sRU6IxVKVrxYgvINnT20G+nRjDU7wLQDGPtzGaaRyG6AhZZjr0O0PEJJoMVKJz5J3t+488C/FfP+cgHrdAHuLFiB3Qc5aKttduAZTTaRZGg3qMM5nuzA027gKg/reThj3/4+lOxl6nsoWe8UpDv2GcFDcRiI7HnHSpHS2Hkarh3NkZ1HoWDDnne0McoOMkNXi9j5Fo3sYNFO9joor9BxIRKpf9nLVv1jAVOiWBwd9vFEbY4170MhqzyF5sgu15bohfhr8S1UliJ7vwnX5w6VrLwVYpX1oVJz44id7O1XuljJns4KcrbpufqPPu19QCFW/h5Mnexp9D0SxT5CHQE6aKeBMeBpbQZ0AF0DgRY7dfl6tM8ZiKSccUjJHIF5z+9A8IK4XUGnAaPrFHpzHoLSn+DUnNNA782MIgGCgg7F8wca8dKKfUhK74tWuRORkEkwmtcfQ0cuh9NNNnsOoM7lxmOD3kZKbjGSMqciqQNBKwHY6ElvBZfwHyv0JVBSnbUlgUCdAMnL4CbQXPrWfrTKHo2EnJFIyivAwML3gnrm1Xkb24JnAzRH0mcFFcHg9ztR76032wHO/PYTyC93oM05hUjIGoWk7Clok9kfg4qWmklvn88h+BZc3WC8FdoS4cLaDytw/mVDcPVNb1JGIwj2C9GaIfW0UfhiO9MF9piu4/E4Cb49+NWvp6IV8089fQwBXR8UlLwNt9PJLF3sVwH84vaZ7FOFSMwbi9YEhH0HvcbyCZy9Omw0gGdf/RztCMoTsgjac4qQefbjcKot2kcQIBDU1iHWV+GQye9lvoT3Xg8a2e5PtgDtMp9BchqBasYYJGQX4KP3NxHEamtCLRoCDdhZ68ENv38W7bOGok3nYnTIG4gREz4kn73w+MhoL//3eVDr341Rs1axLaOpt7PQNvdJzHvpM70mL9ggOUEkXgpK/51QJNlZgaRxQf1B5HHzO/nnYEg76xEkZpZTV8cjKfcB9C5dhTqPtvXImVWHl9+sIV+fRlLWWCRnl6F9l8dQMPZdOMwWBSny8Ulf+dsVgY4Hp4Hd6JBx2RwItuIqyBiygkCn8rIbbgqhoDzUMNLvSMEezyI7cFd9w6Wzgj2enVRf653itYSUVvkdbPojQmabQhbrk4UfPTIZa3ZzHG8h2eUmsBXN0Lfzzy4b+0yzgj0PO4jRp53sZSvvULK/DyW7nMPJwnqnYAefh+owENnzjpUipWmpTgrcKo0V7EAllIex5i0ZWfEULLLLVTxUHpGCvW/YyV4Hu87EQirfrgOxpm9Oryyy885qX3Pj4KGQVZZCc2RvQ7QZ+1DS3yIrXbgVGmqj9T4abw6GDkXWh0Kxyltkb39L6hiaLpyeqB/ZV+3oeyx0MOOTvT76HoliH6GOAIV1Gsh2lE1ubCwZpvqjpRUDWiqv35qaMqiEQESzjg6s/fwAOnctRnJGGRJzRqBVRgHmPr8TunwxIMeCltL6aO4zvdmecPzapzFTc04Dy2HwJQUEJBvw6tv7kZI9CgkZU5GQPhHJ6QXIL3mDeFl7vbdQJnXYQZan5PQjeJiGhA6laJs1Ahd/b4jZDx+UbfAmBt0OEARh5hHFTDlR3H6P5KbIlBWBbUAnAlL0BmMrvpfv9J1By6R9UhFlojyUkQ4klK6ozuZu+HoGAk6lUTwCnoAcGMzbrH4wL/iMOhX0LznNJ1UGAXmk+MPvVZ1YlvkOLH+rmmB7KBJyipFIsDq4+D3mrURyTFWbpjRLisMkqnIQWDQyndPs1T/3isfwwkrgtvueZznjCNrzkZQ2ChdeMpqgPMAqEfSqImyG+CVeOtnuu+6fht5D38Iv7nyVQHo4EnMLKIthaJtXgnU76tiWBtafZfnq4fLsx9adftzTcy5+/cdS9CtcZfakK45uI9A5Ftf/aSqS8gqRkDkcKemj0Hvw6yxbfdBJtvnw/Bub0TpjEGU9mrpQhJzzBqKer82SDA95S8CouvoYV8v61WQjR7Y5KC89CV7t2CxJZNpOwPrrcocNuxxonzEAyZkllIHaOggfvrM7uBqE+bnJTxfL3brPh5zzH0RqWgnadpmJk3L7Y/7SzXCL7wS7Pn8tPIEK1DHukJI1+MOdc1A+6Quz6sN0Aek22yzngc88429WQNdgSoO1ZcEMUx55Y/hp5KovbLfqrAf8NIpDZQ1IYeW5Matv+NvoHuMoCeOpzOBpEA6+46eeqx4E1yYPNZC/zYepYC2zo1GtwvipugWoR8ZRY+oSLD+oy/zN76Z/kEfSf5XkV19QQU1pJBblLKlZz0zQh9HV4A+d9RFgG9zkY+bZfagnk5CYOQVtsgZjQMFa6jMLY0fye+rYq/y48iY5d8YxjEFSRjHSz+iND9ZVsL06OFHlN9WRIeBpYN4aA4JNd3O89wX4h1XjuVghmTCVioBfK3zkJCYf5KxSB/QoE60M0RoVaR8j8pH8HUoi+cuR7PcHHcl+3cChjq//WQ+1yTSTv4OCZKGUeEvJzq9IdDw4DWRQ2o2VUJAfSlY8hUhkB/YKdgPIbuTEGuxG3cGkV/vsZDdqoxla4cg+e6l8wxnkX6XtmHfnmV+m+XrCz/D40p2mC8RKoXyNZrRGAwV2Y9kOcvTdeh7K8+aMffv7ULLXO5wsrXehoXm5NU/2/GIhO99C08Sik4pj179IIZSHseRtkT0fi0LrHWuwkz2PUJ1pjuy6oz4XK3huTq8skgPG7uywgnT5SKw8sJcRzTknirUNdrKvnojEa3u/iTXfWOlQZH0oZOdVc/27uXEjEsWazs6D0L8/4UjjrRU/1MkdjWKtT2wj1BGiqE4D81dKRhoRlIxqWobGaUDDzSvDmMazlljvqQ7gsv/pjWtuXYzU7DIaoiVIzhiIOS9sN8unjeFs/nEYWzN4sBl/nuAkIzaa0+C/iEa0Ditb+k4lUjJHERzI8B/J70XIL3uDprSAFA1/nwO1NNjTz85HQsZYAxC0bDy9Ry/sr6FR72HwavbZgUa/Tqv3o56y9RB8eN0euB1B4N7oc6HeXUdcRaOeGMtPC9/NtD4a8l43QQoBl4NpNOOsme3axnpiVC8cDQ1m6X5AgMHNtJ5a6kkDy/GgwaNVAgINhBZM5CCgdRJU6LwCv4d6xoKEwRr9BJw6yNEsX68mDvOiwcm8qUAC7A2OKix9uxopuQPN9gTN6A8sWkuekk8GxBkY2TwpPoPUkzXgdyfz8BCsA+d+52G88i4HgLVb0S6jCAm5TyIpZzLad5iC555fy/wdBiIZDMM6OdgfdlUEcOElj2P9Dh+u/f30oHMncwQ/xyGxayHW79tl4utAQD/b53fVkPdKXo9G8sLB7OoJ9HWoqK4v1C0k1/15BhKyhpsVFa0yRuDp/GXsQYzoF6D1Y+HrW5CcNRRJWSwnczSyzxmOegFrL/Mn/92uRtRTZjXMX44bh2TIBpszD8QqMY18D7A+sZD0VkBVfNu4twrt0oqQyLKli4nZRXh/7RYzfAgkKmsfAbT6/f29piEpvZj8mI3EnFJc9IN+5rBJAzwJTLX9RsvsndQFl9thQKqHeuRulIOFOkP98JA3Pq1QcFcTUNahge2vY1vrfdQV8tXj3gcfFczDMv3eSurZAcNDN4G5wfPMQ+VppYTTnEnhpo7ruwcu9hmf+gD55VEfcqmPVLNsyoqqbPgZaKBOOlhHbdMAGqhkTtXHf4BpGbdRHUV9SLcUULbM08XGu03eZJlbDiPKl4l1AGEj2+BmHbTNxUvA7PVJ/yTboFjENyPrZkjjsodMyjh7QHBVTOYYtO9UiKHDPmSd2a8kL1ZN/e13dy+irEqR0HU49WkC2nYcisWvbmY96hhNDhQGxgu4JTcn21dvDr3UVpkapw63rWITCf/ZRumw+ZugKvrleGiEQ443pvEwkdPjI2/rzCoID4PDS/67OEYxXa1HeqlqOeENVFJPJe8DzJN9lzJxkA9ay+MU7/RniDrr47gVvHa2ZXSiOA0simUpr8iKoxCN7Pnpu0V2I0fGkQy95kIkp0Os6UPbYzfoohlaoWR3hsQ6e/SNOA1+9AgmrtkdwyjwVRKAsc+6RpptjQYK7DyyG792UBaar/Kw3oUDMPb3odSc0Wy9U7DPvsqQP9TZZHvesZAd/IbyrTmdtIMKe5C8lJfaYz0L5WFL9N2Kp2CRPb3KUXnNhdCx0J6H3sdKkpHVNrW1OZBtJ7sDK5oTTKR8xRs7HyOllRxD29tcsMvE3hdCZRVK9v7YXFyL7O3W2Kt2hQbVKTROrM6Y5uhgZa10dp7FEux1tv/NUXuikX0saC6unRQ31nRWPIXmyK4TR6I+sY1QR4jCOQ2CBlbQ4DezTpYR2xT03UNAozvhnTR077rnbdz+/+ajfNHHSOyUj2SC2dTs3pjzwjab00AJG40RbJwG+nmCU4udBuSZ2Lj0nSqkZBXS8Genys3n90HIH708aErT2PYSFB5o9KJd7hNIyh2NhPThaJM3Bud9r5iAVLOZLtRU1WPqlDdRPuUzlE3djNHTN2HC9Pfw6ed7CGR8eG9LFf799DzccNtMzH9+L41/ghcCCA+NfQ8r4Wz0Y97iLbjj3rH4+e3D8Mf7pmDSnPXYvV+AzIFGASE5ltwEv24CGlZuxeoa5Je+hX89OA033zYcN/xuGu55ZiVeXlNtAInXX0/AJ7BMwEcApGXwbgKMencVxs1YjVv+Ohf/e8t0PJm/FGvWV+KVdxqQmN4XiXklaJU5HIO00sDorBCGWxipeTLxWaSCUfL/dhrodoMf/GI8WmWXISGvECmdxuOm38wm1Kk2zhWvS212oZH1HjPuU/z179PMfv+b75zHelFGGSVIyR6DxK4FXzoN5PjYsXM/Zk95CaWTP8DE6Z9j9OR1KJv8CVZ/WkOApZUG5CHzueGP0wgECbabcRqobonZo5F5zgjjNNBM985tezF5+kqMkownb8akqe9j0pS38Oqy9wncxCeWQyAsoBtrn2zOafBeiNNA/zipky+v2kE+sJ5ZExi3AO1zHsRdD8yBk5jW6XJhwfOvoXzS2wzrUDpzE8qmfIENO/aYxQN+AnM/QbkAu5we768/gGGj3sCf/jILN/5yLG7+3XD87d/PY8FrHxv9dVAHfe56AvtavLV6J8bPXI7R4zdh4swNKJ/2BcZN34JtlT6s3VCDfz62BD/99UT85f7ZKJu2DHuqqynzBrOawu/fT9aovTRE/HXkax227vVQ19bhl38qxS9vz8eTvd7Exu1u1JOPciBoxY+zEZj+7Ksom/Q5yuZ8gFGTP2Ud3sN+R5U2c+H9dUDP/h/h57+djOLyFUHHhlmd4KYuUnPFOP1v9LJ5kkw8jJjRYxB5KwfTcLRNH4RBRe+xH8j54Wd7Ksx2l2t+NQVJWXK0FSI1sxhtOj+BDzYxvYTGOuiASpecWEzzxmoH7n3iedzyl5G4/rZ+eOTJ5fj0Czl3dANDDetGPpM5PgF9jxwGbny2DejVfxVuuHU4bvzjSAwofQ/7KtkmH8cOxwHKshbVNbWYNPNNjBm/FWMnbWd4DzNn70C1pxrVXic+2+HAv3rOw7W3F2LOi5+b/uJlfdgVOVaooi2j4N80KWNkOp6cBjKa7cZ5JLLaqhCN7CBHxp1FLTG6wlGkfFtCdqO2JXWwG6UtAS9Hmvy7X8bjZnvCBbgz/yWsr49xYA5Ddv5GAhHNgYJQUGSPH87Zojzs8UPJ/j6UmtMn652V1g7CWgpCQyk07+bI3o5ooDq0HfZ3CpJLaL2j8TBa3nZSnlY8BYvs6e2OoJaQPY9wOhOJ1FYrXUtXhzSnG5FIfcCuwwp2ntp5HWuwl29P31yb7HnEqqsHUz8rHI6VFQcra7u8Yg32/O3p7Y7qcNQSGdjJro/N/b234ilEIzu/9De4JWNSrDoe2wh1hCic00DgiaavMfyNnaW/WcIINDjNEl7+76DpW+N20NDbgCu+W4atBIsTF36CdpmFSE4fgdbZA2jsbZK5apIbq1t7vvlv3GkQpIN3GlQQfA0hMBhGoDgIKZlDkD/qTRr6BGo02gWaCsYuQ2r6MCRmlKHNmQQQmb0JvLfDrf3tBJuN9QG88OJmdM7tiZS0/kju3Jdx7saYaSuxfG0VMi+4G6l5w5DaeQ56fKsUNSzXGaghGKvGnsoAQfNUnNKpN3oXfYp3NgJX/2IsTsvoh8uvLsVHWw6ggfHNPf2B7di934nf3/Ecup4zEA/3eQXPvrodo2Z+jNxLxiI1YxhOOX0QRk/bwrrVkic18Aqxsw1ehxfbtzvx4+vGom3GMwSZfXHbPa/h5jum4fSL7sONty9Aas5QJOWWIonANeg0kH7KfaLTNKS8zZCiMERzGmiaedr899AqbTz5PYTAuASnpo/Fmk+/YDXVJwjIyPd6gtkfXT0Sy1+vQq3PjWtvnUpwVkIZjEKqVhp0KcQXTU6DRqZrcPnxygsfIe2sPmzfAKRSDu1yBmBI2Wr2EIIsv1sYju2dicTM5lcaJHTTVo0yZJ9TbGbOtdqjttaL2Yu+wGldB+CUjF741W9HYf6ij7FpWy1BpgazKoY6tvsIOQ0Un/zTvPs2FtW+G0Et4yZ2KUK77EFo3/EubNzshYuI94NPN+Pam4fjlPQCJGVMRmvqxrwlH0CHTkomvkAdKhvceLjXKnTo8RQey1/NQb8Gw/LfQtaZf6e+j0Fq1374x+MvwuHWygOCW3ctdu51o1fBApyS9TRSMh5BCj9Ts/tgyLhtyLvgXnS7ZADan96LALof2uX1wre+l49NW1ie7ogkf3RVab0zQMDvR8H4N3H2twci56wCzHu1DovfPIBM9sHuF43Ay2t3mAMeyUlze8Wba3fi/O+MQlLOQ2jH9p7c5WF8tLcBA8tfxCldHiCoH4XktDHofPq92La73jgOPN4GpSbT+EPFSyb6bIaoBkwLZMppkFOIhNxCjguD0K/4MzPqqikOVOPt9x3olJOP1mkjqG+DkHlWb+r2blT7XebaS5BnXrZ5r9ODRwavMYdc/vpPC7DyQ+CN1ftx+rml6NJjABYs3YxGrbrgfz7qg1acyWkxYfYXyGCel/1wHF55vxEFU3fyb0IBrvjeBGzdspfN2c/xpxoOVyMWvrQZeWeUUH8G46ScJ9Dt3GKWC5TN3GC2WbTJGkYdGILzr+hrrpp1+j0c47QdpeV0ojkNRHZDKhJZ76PFEdmNK7thd6ig325gRXNuRCN7HtEMrVCyAOfBlntE6MuDEH+GR+atOyxXLzbHm+ZAgX0WT8a7feYznIFu1zvlHUrR9LI5o9l6Z6W1z1wrNAcuolFo3tHIzjOFUHAWTSft/IzkyInGw2h528m+SiRUx63nCgdD9jq0pN/bdael1JxuNEf2su3p9V1taEmw671dntH+Ztjl0RJnjb3eLQktBayRSH3Mnm+seaq94XgXLdjlEiu/Qp1jLVlxZNfjWMtoTnZqhxW3peORPW1ov7fTwfXaw0ThnAbanU0TkOZg0Bi1DFe74VVHA7SC9u0l3x6MyVM2opIG/ZT5XyC1Uz7a5I4kEJXTYIPmoUzy4KbXuNPATuLlwTkNDiAlh+AgV7PLgwkOCpA/cqVZLq3u/OGmGoKHv9BYn4AEgsykLo/jjrtfJ+BXFnXw+rVs20/QClz6g/EEUAQZaTTQcx7HiKkr8YP/nYx2XXsiocMEpHRaibTThwtWosF/gFC2Fg/3fBYnp/fDmedMwU6+qOa7afN3IaX9MzilcwH++sgcU5Ybu6lFe/For7k4uUM/3HT7O9hGK6iW8mcNcO+gtQS7BJzpw9DjkkGoqCNgJ5D1UK+8ZqW8B489uQipHQYRLJfhZ398GVvZwCoq0dzFAWQTbCdnDkFCehGSc0ZhYJGcBmQCgb84YbYONEdSZ4aoToOAG3tqAjglbwoSuur8hHy06zwdAwsXGhlqQHH6HFi/uQYXnD0Q9XVaWu3BzXfONFsGEtPLyOPxBMrF2LBvtxiDRgpSS761tf6iH09D66yxSOjIdpAf/Ua+Q+4IxGsrCPCr2+ciSSsWmnUaUI45Zcg7u4jylSZUMRcndpOX3S4biiuuGY89BO4HKLMGZq8zGIzDwJTFD3X4GEhtjuo0eO+rTgP1fW2r2ct6ZH+L+pg3HImZ+UjpPAynZfbGohc2odFl3CQYPGI5WncaQ91+CcmdhuPZlz9kW+Q00L54LybM3EmdHI7MS8uxgWJWlVX1vz1I3uRORkqXiWidfg++2LCBYLaGafaSzwF8sPUAAej9SM59ECm5TyGlWy9kntsL814gQGbBv/73a0jNHYOUrGlIPm04/n3vfGgbT8CnJfvB41vLZizDqV1vwUkZ9+DfjyxFFRtXyfCXf61Ca+r3D379DKS2DW6CdCbQ9zv+uZQ6M9gc2HnS6QMw/91GnHz2zSznPtaHepEzFaflPoRPN1RKCizLSV4xpZw4Yp4ap9AcMQ7ZRLA9kLwr4LhAXSKP+xRtNhLWkSTb6mvx819PQLuOw3FS+gicktkHI8Z9aMZxF//zulmuW3dY1OC5tz5Dcvr9aJfzFJZ/UGvaUuv04V+PrmDaIfj2jx/BfqfDHICr8woku+UrKpHT/TGclN0bQ0czXz7bxnHmwu/Nwmlp+bjnodFwBioZexvLqDNj1Xd+OBFtc3XDyCPIvaAAC1Z+jJNzH+DYVUL+zEVq2kxkde9jdNbDkrTNQWW1lOx/uyJR3GkQmSIZQqEGZUsMNpHGTjvoi2YoRaJYQVQoWWnUtqODrCsXW36GQTSy2hluVYCoOQAYKmMrRDKemzN8o+ml5Ge9CydL6509rR1cKMiRdTBkzyMaqTy7zobjazSdbI4/IsuhFS6OPW/VI9Jssh1shoIXe/4Hwy97HVrSf6LJvjmyyzmSLkcje50PxbkUSvZ6RQPqdnkc7r8t9n4TSacOhez6Hk1fDueZEaHOgEjtsju0W+oADi0jUv3t/I2me4f699DeL6PxsuW95zBSeKeBjMDgUlDLaeDz6eT+Kjjd1Wbp7+YqB2647g1cc81YHGhoQF2gHtOf/xjtOpUhJWMiUjMHYvYLG9EgwMD8AqErDaLbbycEHZzTwI+l7+wNrjTILiZAGE7jegJ+/6e5KCt7EX9/6GWcceEEtCGQzjj3OdzZcz6mrXgDB7QH2VNPOVSzXB285qVsgMuvG4mk7OFIztPp98Pwsz+8ght/PQnDxq5G9vmjCI7H4qZbJ6LWV0OdaMQGgpvM0wvRiiDxD/83n3rhIICsxRef16Nz5r1okzESbc+ah4odFQRALgNY087XLQ7lOIUgbdTMtSxZ+5ydGDFlBdplDCZILEf7joOx+sNKpmHNiArkY9pdvQO55z+ApPQZBKUlGDP/PYK3vdRDohy+79VnlTlgMCG7BEkE08EzDcikw+00oL6r7Tfe9gJ5RHDfrQ8SOo/HD3+yyJxjIBDjoFxGlC7H/Xc9b1YHaNXHjXdMQFJWsUmTmjWJYLkUG/buMU4DF+pNnprc/f6vOSBlBQ+mS8gtQv8xqwiQCOg1+8v3v7ptEds3qnmnQU4BWlMuZ3UfDJ+7gbLeb5aLL1j+Cc694n6s/aKSPdDMYxuAqqYbauJBLOwSNec0WPveFjN22J0G+lXLj7OuLGW8AvJFZ3GMw0mZRSif+j7jy03iRMmUd9hW8iGvP9rkPIqFr64y9fJ5AmhkpX/0G/IprwwJXQoxfsE6uBsI7PmufOZqc+NCQsZLaJc+CxNGrGY61dGgTewigk3rSl3PHImEzMlIzpiMf9/zkqmaJ+DAms070bprXyR0moFW6YuQ3v1h7Krea9rqIojfXu3ERVcVokPmMHTMfAZzFnzIdAf4bif6F3yAkzMnoG1mT6z6YJ9Jo034XlTjXw8uQ0Las9Th59A2Ywquu+Vl3N9zBUonf4ILr5qA1p3zcf5l+aiq11kdVDUj04N0GjB95tn9qENyHo1CKnXmlr+uwvAJi9B3wIv49v/OQWrnSTg5ewpu+ss8zH/9I9RIGViO38kxwUWJuRtR4a7BFb+YaW7E6HrRMNR6Bf93soBKFM98B+1zR3B8742ZL26AW3XmePLxpn3ocf4I6t8zDI/gk8+d8Gg7SWAf7viX+ngJTu0+AS9v1PkPaif7DNP+8LrFlAf7FHWhQ7dF+OmvRuPex5dg+Lj3kd19vDlv4Re/LIeLfUYHRupMCvWJlpJkYuQSheJOg/8mGVV2Y1ch1JiRAW69k9ETyWjWcxnYoWQ3yJQ+kqGl9DJYQ/O3g4FwQDMSWWlaAnqOKNUuxSNZh9dhIGqunbEAQLsuWSESr+1xwxn69vehZNeFcPlb70LT2md7IwFpu56Gq5f1TiEcSS9D+0IkkBhNJ+31CAde7e8VQutqz1tBdQiNY18BpBDap0KBbjh+WKS4ofy01yGSzoQjS/YtBXci1cEqM1J6tTvS6g07uIwU52DJDqrDjYHNyUOkdFb6lpK930SSpcq06tnSMuz5K49QfVB7Lb0N1/cOluz9LVy5+m3nfTiHhjU2yMkZrm72/hZOduKnvYxofcWeV0v6hUVWWoVoFP3tEabwToMgqND5A0GjVTOFFfxagQZfI+r44nd3zsfF3+lDY3EHAZPM/QBmLv6MxmEhjf7xaJ1dhlmLN6GeaMwtK1GoTOsO+KFztINo4sQmGbEtOwhRbPQFnQZZBQRfBJJZpWidPhmX/6AMf/nLaHz/pkJ0PmMA2qYNx2ndFuDnf5uFftPm4MOtBPHaaK2DyMh+4SnNHl59YzlBzRi0yp6FxLTJSDt7EvZWVqOBdftidw3mLFyF/dV1BEdVcPkb8QBBULvcoUjsNggDRrzOPNnBvPWo2w+kZzxMwCBwOx5zRq02s+Sf7KlB6umPs57jkdqlHzrl3AnXARbMZBNmrMVp6YVo02Ea2nYYgYWvfEEgJqjJOmI38ks/QLIOzuu8gAByNL7YwnS6S95TReDtxrI3GpGSo20aJQTTwzGgsOkgRAJlwXL92yyZ+EH1jOQ00K0Nbl8lXnp9G1I6c1DI6YVWXUah9cnTsGzNenMQZC0L++GPn8B7a6q1m8EAuJvuKCc4Hs62B1caJOWOwubd+wxq97IvebHfrPi4+reTmSfBbG4JAXE+Box5m+/kNHCa2eObb3seiTr4slmnwTCckjMc3c/oowLQ0OjDy2/swfd/NgSfrKs09/Gbfs1g8LT5wmA4VcWve/SjWZLeRncabFbxLKvpTAM5DKl00rfzrtZBqRwjCBKT0seiLetcNPZ1ZqW3NRg59S3mo5UvU9G+cyEWv/SRqbDqqtnys66k0ZE7BLrS9aZfLjTt9Do9mLPkDbOqIyF3KlKz+mHQkKlMpFrwj4TXjX2VPmScTr3N0rkPY5FKvVr9nvrDfua9B272i+9cMxbJTJ/QcQZSsgeiYOzb5JOXqtqI4slvI+XksWhz0iKc2qkcn28gCCUzfRTTmIl7kSodzpqIhx6fwYbzoZd6wAh33/uGcYAk5vTESV0exW/+VM7xU+5TYG9DA559ZTk+31ZlVglpe4JWGhh5iHHinUIsxPgC4pln96UesM9kjUVKpzJc8T+z8ae7RuCXvxqBzItGctwYhZNyp+G7v5iN/mOXYHe1E05WxuOohs+zn33cgbmvfoZWHdlfOy7HNb9cZra6BFxsUy0wd8WnHNv7sZ9PxG/uXGTOOvH43Lj7sRlo13m8WRGUedFA1OomXjd55PThqV5L+HdhPhIynsV5d8yFzorU3wFtmfifmydQZtRdyq5N5hQ8NXAJ9aaefcqJLfudmPvSao5H1HMyOuDjJ/+WGL1tIcWdBuHJeq+g+PZgGbH2IKMolOzGqIK+i3cyzGXEyeC0G3+hRpeMtND0Kkfp7OmtOKHp9dtKq7ixkpVGbf3myYn15X/BneUfH5YtCXZqrp12/kWKEwp6FMIBH5HysOKEM7Dt70PJDk7CydJ6Fy6tPV8BhFDj3/6+ubwV1x7s+mmFSCBEFE0n7eBVQbpt6bnytL9TiKbv9qC0ysPeToVwfVYULp7Sy0mgT/222h3ahlh0JhxZZbYkjZ2sMhXCkZW/eKExSHxVe9QWe9pIunuwFNo/VL7Fz9BxVHFDKVSmoTJvjlROc2lDy2gJhRujpbcq1z42K7S07tEo1CkQWq71XCGSntvjhOqxSGXY41i6E64M/Y5E4pE9bjgHeTSy16O5/tEy6R1minSmgZYCG4NVBhqN/kCg2sy4aa/68HErceXVk7C1TqeDE94wqkDWtHm7aPgNpFFeQpAkp8Eu1PK5AIrJh0Ao7jT4D7XYaUA+ipfm9gQdjJdFoJmjWb+RGDbqTTMTW++vx9b9DtzylzFokzaB4GwMUrr1w0kEusUla+H1yHiuIvuraKZ4cNUNA5GaR6M9fShSuw7Ar/4xn2DnAOWpWdY6xqtFwC+HkQvV3gDOvWo8AewQtMrthcFjP8Ze1wFU+bZia2U9cs59iiB/MBK7DsW//t9rIGY1qxnuf2IVMrqV47wremP6orfNKgPdmPDk0FcI8J4mQBtJ8FiMmYs+MzPvwsvSl+tueQWttJoirwSdz3ka1doH4SZw8FaYFRNLV9YSKLJTEwim5I1E/4I1rLP4pEyCKwCaJcVniOY08EhpmZuLQPm7PxhDgE5wT/63zpqA3/7fXGPkvfTaPvzihkLoFHxWzjhMbr59EvuCwPQI1k/L8kdg8+4DxlsT0O0IOMC2+PGjX+ugQ83Aj0RSTgEGla1i81n7poMQr7/zOb5nmc04DRKzx6NN+iic2WOAuTJy8Zsb0Pn8u1E0/T1KWk6BrSxzLwP/YGoGXlO2zF9BCzRMM2Og5p0Gm750Ghj+KmMqrpwr515ViqT04ZTbaCRQb1O79cLoGasYj0JnGD3pbSRlFxBgTjL72ee/8r5yMWVKN8ZPXo+cM6ei63mlmLlwDXSdYK3Dhf6li5GcUc50swyPHh+0hBzUSoddLLsee6vd6KjzFLTfP6sIrdP74aONBKJyiLo80LmTf/rnq0joXECAPwWt0stwyx/fhtflh4PV//kfRiE5exT1kWNbl574aI8TBxobUeN0ovzZ99gfehuHxE+vmwyflpn4a+D278TfH5/CMociJWcs+2NfTJ79kdFLbQALHkRJzWoaQ3WNpnRPt9QYvikbBomoWSJ/gk4D9gfqW6tcOUZGoO+wbeZ2DicLrWC9BoxahhT2dW3DSMp9HNnnPYOCkhWoqtWtCPvMTQV/ve9ZJGdSX6mT1/9jLna5/Rznfaiva8C8ZbuRmvMU+TMG51w6wvQTlXv2t/qQ77OQ1GkK8i6bgp2NHGFcu1HhrMLD/V5DGzkyMguQ3L0PNm6XDuqGEBeuuXkc+TYEiWeVUXeHYs0nB+BxUU8D+8mnOsZwI3jzhfo9NYptkQ+6pRR3GoQnu0EWLSheOIPLIhmK4QBPuBDOYJfBFM5JES6EAjW7MRytjqFkpTlYAHOsUHPttPMvGi/suhLJQBfZ9S4cgIiml5Kf9S6cLK134dKGAptQA99ebjjg1pK+oLEh1Clhp+Z00l6X0GD1Net3KA/teauN0fqN3keqp/phKCiKFEJn5mPVmVCy2t2SNHay1zecbtn5FimEk/3hoFDHQbgQqWw7PxVCx7jmKJq+WGQvQzrWUlKdmhvjD1au0UjlNtc3o41H9niRVpjEIrvm+rxdBuJTS8nuTGzO9jjqnAYy9zkEBw1XWazGaVAPFw3/NZ9UI+v0nhgy6jUsXvopXnztHbzyyhoseel99BryCtqaZdSFNFr7ofeQd/DS8pXYvGmfWUIs4BV0GtCCbcaAOxHooJ0Gq6pp9A8nOChBYrdhNPD7IX/MKwQ3Dvi1cp9GfkWjG+dfzfea+c+dSGA+E20JLF9Y8iGt/CBK1MzmD66diZS0CWjVeQrzHIJeI97QympzfZ1BfgT4fnc9AQ6wnei41RlPEDCUonXaSGRfPBLdr56FHt9fgnN/sBhnXjEZZ39vCs657Dnc/vgMVBMdu/07zIxsQ70PNd56HHC7Mfv593HVTyfigh+8RpA3gSBtFMFmH8x++RO4WVDAQX3z7cMFl09FIoGGbojIvPhJ6iqrrT3XBNPap714ZT2BTV/ygXHSh2Hw8PeDatUEKg6X00Az3OK7tkWMnvA+UtOmsL7jCPB74pQuIxlnO/5w5xzMnrObPK1lXEJ68u7m22YEnQbsD8ldByOpSwE2a528vAxmCwW/kM//c/OzSMoYi6TMsZRlCQaPXMN+QuEwEzkNro3xysUEAsXWuaORe05fPttpDgtslTEZp18yBXsq2J+F7sQUdW8jW/VDzfDr0k03H6mzN0/NOg3eb3IaNPHWZMvPKlah27eKkJJRQrmNJGjlOHHGw1j8JkGiBgbWa+z41cEbJ7oMI3/7Yc4rH5mtHtLZgH8fy61BnYNg3efFzho3Coa/icuuKMVV1GNdK5rQ5Wkk5g7BPX3fQR3T+bSsg3XdVRXAyZSV2QKSN5EAfiDe2ehGldkCQh4wzj2PP4vEvEeZx2DqXV98/+fT+Nxllsb3uHwY21ZKGYwmn0twxtXTcNHVk3Dp5ePxre9NRpcfjUfXn87GNb+eCh0NoGLlCPjbI2+YrRSt0uahXXox3v+ijpzeRV0iM9jeAPuqudmAstZtF34/9S+ojEYnDR/Nv9HJOFUY3xyEaHSuBO0y89E7/x00Usa6eSDg2091q8NfH3yeekH97dbXOEKSOxbi7iffNOdw6PaHn/xiLpJzBiGxy0C07z4CZ105Hxd/fzYu/eEIfPuKSTjn6nHs9wtwxc/GoN7pQFWFE53z+iGhk7bgjERylyEcD2bjnO+XMe50nPu9Zxl/JC7+wQRcfMk0fPj5JqqDxziqrvnFPLTKmoyEzDFIO2MEqurJuCb+qf0O9gM3v5jFKvx08bduZmkpxZ0G4UmGiuJFCuKBDKpoxpJFiiPDKRTEyOBTXiqruRm+cOkVlF7vIjkcrPq2ZHbHnvfxTM21Uzy1+BfJqBaJ/1a8aKDGHi+cvKRTehcK6kWSn5U2nCyVRu8igQS7Ltjzl27agUe4eknPrbShQXmpXapTLH3BXo9IQNEqz6qT9N4CJvb0oXW1gz/Vyep39vYJtOhZLGTx3EprBas+4UCoXWdiLUdklaPPg6FYgJX4KnnZ+aG2SGfCyf1wknipsq1yraBnkcC8RaqfVc+Wkl13I/VNxbHqczBliKRrSmvnrb6rfeH66+EiyS20XAXxK1L/skg6o3iqYzT5W2WEOkbE01jaZo1rscYPJbveNKcrR5/TQLYVDToTDI5w0mytQw2NtimLNyI1XTN2xTSeCxn4KUM8qxxJ2cF98QJ6idnDCYKmoO1p81BY/D7BoOYdNbskA5hgSXmf4NRSp4HE4qKxvWQ1QWKuwHIJje1RaNNpDApHrjKc1bYCJwGJk6BqUOESAodeBCyTKZfJBGrjDQBtCBByetyayMYVvyCQ6paPhDOGEngOwvjx78k6NyUZ4bNQHULnoYW/6QCQqrMUsiYRmOXj/oEvoJZAVKeu+zX9x7hupq0X8HYRDAkcE5g6/bux0+nGo8PewhnfnYwOZxVg5uIPMH7KjmAbcssJYsZj/gufEkiwXDZE9993+9YIghqB0XLknDsMdVpp4Kkl6KrAXlRi0Spt0+hHfSsn2J6A/gWrgzsTBDiUh28nv9QYQOjXoYLeWv7mH3yCKB0CqCXi+qbLQwVQjK4HGqiatUwLnHf5/8Nrq/kMWwlavGY59bbGanQ5dzz7AEFX58kEPAQ7F89E16t7YZczYLYTIHCAUjqA63//fFP7Cgnmi9CeYHn9bh0DqVUGwdsd6liLn16/hAC6N9swEm0J9PLHvmjwvdqg2fkb/kogljkAqTkD0brzOPQsfJmpdzC1Trr3YaGWjGuLSW4BZdgTJ+XlI+9CArHcPpQtB6K8YfjlvxZAN3d5NV3PxopPOjvCyfIdrI+W0stRYybJ5bCQXSRQq1Px9Z/4Y5bOy6lC3QnU86kLX+zfg9YZ1B/KKTFrOFKyB2HFJ+uC2iN+Uh/8PumjExsPeNH+jH8TjLJOORORQpB57oVjUCW5qj3Mt3TCRwT/JUhOL0O77Pvw3MsfGj+Hxg6PtwYufwOqnU4Mn7MGed8pwQ+/X4KPP6rEjJc+pR5MYVtnEfgPxKODXiJvpJOsMyuyu9qPDpkzkZQxkXUtJS+fxuoNHjZTe/UpD0Z77Mk32IaBBPkDmM8EnP8/M9gNyGXyK+Os6XzOd2c8Q7DdD8v4N8HNRkqdpFtOKruLPFQ3aHRpvAzq178em4GErsyP42M7bbHZV2vaYvoXBewK1FEH69hntZVDqwwcZrm/w6vVOHWMWwevU0qlQJIcrGBITNYRgT7ji8o8uyf7psZn6kLmIPQd/gmbpvL8jBVgnG1Y9nEDdZc8zi5Eq46TcVLaLGSeUYL9BOuN3gAuu3oqZco+2Xk0Lr35aVSwTZK8lzKvYt2qOX40MqdGZuvzH8DmvQdwMuWVkC4dGIFTz+yJXayM27+fxVbA26AtUQH2KV3S28i89lEkWstWiZ/eNId6yj5++iPods4U4xw4EnQiOg1Uf6stcfpvsnhzsAb0sUJWO2XMnqgkYGvx4Vjv16FOg2OJBN4ORRcF7Ky2H8xs7olMdjB8pJ0ncWo5WQ4RfTZHR+FKA5IBCQwy4mjM+2gw6lDDWS98hrZp9yM1awBaZw6lcTnUbElok9kPbWiEpmSOQWL6KCTmDEervCFon/kUCktfocEpE1571UXMNPjlhKaWOg0M2xjM7Qmajc0cz1CONh3Honjk28zPS9BdS/BHi53G/4w56wkm85GYQeORcknI6YdLrxtgZq+FxLRC/fv/SzCUM5YgaSxSMgowfvwaFiLhBIGG9ED3xivJPiKHdl2eQmLHhWiVPg033lkKhzwDykioUjOEBJoCBJpt9foEyffh0037cfkPZqJ9h7HokP0Y5r78DouvwYSpnyM5rxAJGaOQklaOhS98yrxYCIv1sB09vjsGSTlySE1G5+6DUa3bAT1qW1B/Xn7DiTbUM3OQY3Y+BhYvYNUrzKFuqrD28JMN5oA5LTH3aDm+8g9oZt1rgJAcBmqdwRNqJAGiJr11s8E5lwzEq28zupjOpJrxVBMfeGYR2mURcOUMQVKXvkjs0BtPD/7AlGPAtk7cRy1u+t0SAlmCKdYxNbcEJ6WPxsadLFX4zwByRffgZzcsJpAtRqu0aWjXeRyKSlmo4rAOOmju5jt1OJ8cKMPQuuNU9Br8BvPnC4mIHy+8sQ5t0kYhmUC8NeXcMW8QVn7SiKtvmozU7AlIzpiCtjmDMG3++/B4CB0NCicg9e8xzgkHQ4On0TgRdDe/x08ULx1gHeVZEgAOOg34QEHPTR5aaVCDtp1Lm1ZKjKZeFuHdDz8LqpBJrxUCDXARbD6/fC+SO45kPWcjMW0ETukyCM++uANOtyLvJ+u9GDnpXSTJIZaTjzYZA/Hs4l1mW4IOwXN768xJ/7+6bQpOyRmGrt/Kx5bNlTqmAwtefQcpOb2oxwTLGSV4qvcKsob5aiWFDuSscaJDjs6Y0EooyeMJrP1M1WMl5UzyOXD/Y0uRnF7OvjLFtOfHt5bxuZvgHTjrkqmU0XAC8hF8NwSTZm2Ax8V0ZJpWUakFWiVjri1kO3x+Bxzk0X0PvcLyCpGUPhkns69u2ssGWLyh/LRiw+2nLrrIZy/Tkf915If0tUH5MZi4ErRIcrDClyRl0bkbQM5Z/dlGrTBif04vQf/CjeatSc6ivYFK7GZ3bZPTB4l5j5BnbE+HUrTN6I2NexyUvws/vmkM08oBNAJZF/REhbqckTnrQ1772P98/l2sm4tyqcHOSi9OzeN41G0Q8+xDHXwI73xcb5wqZjWLl/2Nnw2u4GGPHnVKvePHT/6Xup8hB9dAnNFjOvVGzDn8dCI6DexAqbmZixONjmXg1VKywMKJDLLsPIhlpcDRTMey7lr1PhQHln1GNtqKlzj9h+yrDI738e5YJK1MsOQTi91xFDoNZLjRupONJWNTs4X+RjR6XPhs4z4MK1mI/JLFGFb4GgoLlqKoeCEKR8zDnf+Yi9ROIwnyaJhnD8Gt983HgDHT8daHH9K4VEaaEVN+TeEEpxY7DWT903hfvqqS4Ex8JsDJLkNqehGKy5ZTXAR7QhsuLbkOoGzK62iV/TgNecYjiEgmoLzhd3MQ0BSwm5kRAPzg57P4biKBzUSkZA3G2CkrmmSjHeFBHfCYvQpBn8CZl/UjuB2N1MwSZHW/C9t215pZRLPXQWBAgIIAdH/NHrgIGCsIUL7zvZnmkLRTs3vjb3eNh9PjYLQ6lE/bQWCSz/oRoKQNxcIXP2J5AnkEGoF6/O9v32LdtCS8GKnd7semHayTk5VuOtHv9ZUVBEhsn4BP59EYXLjOpIP/AAHNfhyocqKg/DU8NHAuFr+9BTVs8pcrXch7OQfMdnuGoE5qtlerKgj5mf/Zl/bHKysZh+80669zPcS6z7fvxKlZ/QiSByGhS190Pb0Xtm5zmW0Yhv/eeuNku/l3i1g/rcYpMFc1npRZjK3babCInQqM76IQfn6THDeUZ8YMtOs0AcN18r8cI0RqAvU3376AQJV9Km8YUjpPQO9Bb5r6WKsBXnj9MwK1wSxL1wWWodu5/VHN9O+vr0NOt4lo03kcWqcXo8uF/fHFzgrKRYVXEczXm6X3sxZ8gIeemYcJc99DpWbWCSwNH9VYNkqrMiRa4wkQM+QwUBb8unmPnAYlQTmx37fKKsL7azabegUdC9qHXmvOsPjrA9PRlsA5scM0tMseiL89OAV1zMMjL0agwchixFT+cevylJmdT84sxLxF+0zZPtQQcDZwjJmH1IzxZvXMY/1WGT3SWQgzZn6K9llPURcGoW2ncXjmmRXBOvOd8t5dW40O1LMkc+NIIcHyM/jgU70n6Pc3kM9e3PbvOUjJLUKCrvtLL8A9Dy+BbgDQqpPrbpttzjlITpuJNmkT8dvflzOdeLjD8FHXMkom1fukvz543RXwkAf33b+EcilCcsZY6v8IbNnL+jI/4wnRfYWMIxDuZ+MV//WV6/HIwIkYMu4VbNjl1nmfjCdhM65Fpl3Br1+SeMR8c8/qy/Iki3KWORL9i9Ybp4/xrOiAEV8FvtjmNYdFtjq9LxLS8tE+pxSdz+iLygYWRfn+5b7ZSM0dRj4M5dgyGIue3xuUp7wg7OvaUuFlH2xg/9JWCq2G6fqtUiSeNZj5cWxIK8PD/Z8zDjFzu0pT8U6nD5u2bYWHDJVYtN3g2hsWIzFtKutbhNPPLWcK8ucI0InoNLAbIprhk7F4ohvZar/4YM14KhzJZbVHA2klhdVWfVf7j3Xg3BKyA6bjwXl2rDkNrO0TdrAfbRtMc2SX57E+Rn9dZDnNNO7F6egje9+IZRXIUeg0kJEqY5sfMnAZ/B5afXwugOXgKy2ulpEr40+niOk6xunP0XDPKUHy6VppMBgTF+wnjGU8AhQ3DV8ru+A/gqAnNrXYaSDQ5nfitXd2IzmHQDSPQLNLAYHQIAwd8xqlo6lE5sug2eM7HngOiV1oyOtgt7TxSGo/EsUjNzEjKeV+s5T6qmsn0mAfSyA1Dq1y+mLkjOUGnwhcm9lsCi0goMgn2lxy579msLwnmWYA2rLcYaPWoZFxXMzThwOoJ7DYu8uP3r1KzVkAS1fvR0rHgUhMn0Yg0hf3PfOGAapu6k7hmJ3mUMGkvEICnP549qUNponGv8Q29BnyLlIzhxBMT2Q7+mHeG19Qm2oJ8ARqvXjhFRdS8iawfWORmDUSfQrXwk3A6/TsUXLkD/mU6QehVd5T6Ni9L976NLiqgFpv2mgUMtg0Bv2o5SMdwFaFGj7rceW/8PJatU1z1joOfp+Jq2XaP/zpFIKjaeTbKLZ1Lt9Rn318T4AMAk0nf19PoJmYo+XulNXpI9Amtz827a5hBqyDX4c5Bhdr//SXk5HQTWcSlBEQl6BQTgMjoz2sixvX3znfLKlP6FpEQFiCp/NfI8BmC7UXn6B+0ZvrzRkiSToIsP1AdLv4CdTrlhN/Le57bCH5/xTfjUByehEeGPAG9gnEsblaNLDszc04Kf0RtM2dgMS8pzF6qnjMdwbpsbEEwFrYrhlwwy85dQLa8hFcNbRhXyV5nG8cGrr+U7Pquj0hyNp6fjYanu8iW7p+uy9S80qQ0nkIcnrchXW79Y5jiYtjCxG3JDNi6iqz6iKhC9uaPQTzlmzg882swWbsq3Qig2NLcmYZkgh0nyr8zOieru6b/5IfrTtrG840pKSNw6MDlho2G09EwInddZXokKe+ojpqFn0gPvpcNdvHvCvMhpErfjURrc8Q4C5B2/SnMH3WOtarzvSTp4vmU0cHIfG0Zyn36UjrNgwfb5FfpIHp5RQBdu8B+j41AdUHqtn2vZSsC/c8PoftKTIHep6UNxAb9wWvPDUHUmpFkIRAeC0H3RdbvMg7rx86XUR9SXsYF11djg8/FWvCAGkjC1tgDl6OJ1k9njZOEellEsvtPfwz1oMAwayw2U+R1mL8vC3Uh0mMMw2tOpXhlKwRuO6348w5JlKp8hnvITWrLxKpE8m5U3DzHS9hf3BoYSnrzMGNXmb56N2zzVij1QO/+3+L2ZfZV9NncqyZhLOvLsQmMrWBHHKz/AY280AF8L3v/Qu7tuuWDv0FacSPbphEmWk1UTHyLhhBTqqfHX46EZ0GIjs4VjgWQMaRJDuAVjgRjGg7yLTC8QCeYyULMB0vAPNYcxqojlZ9FbT8+lCXx1syjWUp94lOdidLfGXG0Uf2LTexrsA5ip0GNLKM4U1jUWcS+HSKtfZ/6yjDajPpGLQka/lsH+YsJkjrTIOVAKcVgeDMxQSRNDMFKA3maMou+M+RmVE6ligWp4Fl7GrZboAASIfsLVm5lwBfM6YjCdYIuHOLMXj0cjT6aaCTt41EOZ9u9SL3IsoicwzBw1S0Si/A2RcVYd0GAh3/PoqgwoCtK/6XgDVjNEE5AULmQBRNecuAdg9lrbvzJTcBL+23dhHgTHv2E5b9pDngr1XacJx16Wis+LQWNYEG1BCoVhLF3Xvfs1ix/BOzpH3szJXGIaC78ZNyByHr/KewdEUd3nm/Gj//7Uy0zhxpAH9SWgGmL9hqljAb3wj1atnKLTgttzeSOs1imaNx16AXqXUuAmIHXESEd93/Fts1noCjnOC8DE8MeRc6DNLtd2BXhRvfuqTM7I1PJEDU/u4/3fsqU6tBAvZirrxe/KJHxlOh2yKq4SCYr+Krs75zHxa8LgeMAJlukdDsez08RExDCtaiTedJSL94EvYQ//nNuQByKlDjCQrryatr//As+wIBdZcyymo0WhM0rt9Vw2JVJmXgd7J/ePHDGwgsCUJ1S0QqQe2Q4tXMQ7PXFYRWPvzizkVsI4EVgWAr9q0nh74Gt5bAe3StnxfPLtuIpKx8JGZOQLtuZcg85wnUeHQNagM+2ViN3PMGG6dBYvYoZF6Yj5dXNhiHjoNI9x93P4vW6X2RlFmCVtSji68chCqtljBKwE+vn23TagH+5k8dBqmVA16PTtcA1u2pIm/lwKKuabVEdglWrdnM8UFjhMPIo5H8GzT8CySnPYVWWcNwSteeKBqzIniqP/PVEn2tfpEjY8Tk1QSR2i4zgiC0AHNf2MRytrMqO/Hp5xVo13kgknIIiNnOb/9kIj7Y5MXi5Rtw9Y39kNJ5BhI6z6FOjME9fZcGl8cb74gXe+prkXHGKCSmD2cdR5LPQ7HghT1wkc8NBK873UDGt0ag9RmzqK/T0bHbE1i/XY4g6hPfvbZ2HU7q0hOJHadQV8cjJaMYt/5zCXbUuVDrcaKKmHxY8UsoH/NS0zhXgQa/D3c/vpi6T/1mf2lDPVy3p86sapDTzuepM3z1sA4evwvDRr6JNmn9KUf2abY/scNg/PvB15hXeKeBVicYh4G+s1CdR5Cl2xO0ukWHi2YNx5PDvkAtx25tfXC661HpdFOf5lFfdPjgWPaPoejSIx/T522AXwdaMKzb7MRp3Z8inyaac2na5Qxg31qFjftdqAvsR4XDj/GT1mFg/4WmDm6WXT7zU7Tu/Dh1gf08YzL1tCceGbIMe10e1HjdqOK48P/+WYr8ocuNA1mnItRRN35w4xTWg/0jowTZ55WiSn931KSmcU/hcFAseR2PTgPN8qkdMkYUjvdZ9eZIBrTFC/HlRJlxF1iQw8Rq+4m0p1kg+3hykhxrTgPV19I76eDhAK7H2+qRI0nq6+LRidTnjyWyH+4Zqy4fhU4DASgz3xg0SgWqNBMrY9dsiNbqgUoziRcEX418XYMZ8z9G285FBB/lSM0agnkLt9GQZRSCSZOU8WUuGyB6hGaUjiWSERvNaSBDX3HkqNGnn6BAZ6IVT3zfXGGmk+qTuxQgMa0Yv/jDXGwhZt1c7cO4OZ/j4u+PQlsCpOQM7TMfiO/8dBjWfLgdDreTRn6jWeotoHP2FdqjXYKUrqMJhoai1/CVcDu8Zp+1w+c0q0mMjAlBdVjegTo/bvjzArTOLUFCp1FIyZqIjmcOxc9vm4zf/H08zvnuPXi01yvwu7UqJYCXXt+GttlPEASOJpAZzHKeQeuMR3HGxXfhwX7L0C4938wMtyX4v/rns/DQ02OC188R6DgJxv5xzwy071hA4DINJ501BIMnbcHkhTvwPzcMxaU/KqWeFSEptwyJucNx6f+MxXsf72O9A9hDvJfbvR9adSpHcu4w8mgsul1Yhmq3lE+z/WoTwZiZgRUgVkNd0KF2LvJ56YoDSMt7FNf9ejF279d1dq7gSnf/XgYftu32I/v0fNzb/43gzgx/I/tDI9M6DXjT1vULfzCawI3yIQhOyZuJ1Jz+eH7FZ/CwDn5/LXnsx34Wf8n3n0VSHkF/dn9zkOBDPdfATZk7nB5UsczvXU+gqu0leROR2HkY/u/RJagnmPex7i7yafzcdXw+Aq10NkT2YJzS5RnsrgIaffVw+J3oPexjJFNXtIUgObMYmT2exsKXN6CBef/2tnkEwwXUgUEE46NxUtowrP6UfVtdX/hNfhW5AMwWAuog+eTwNpgr/HTuw0vvfE4dG2FWGAiMqw75Re9hT40f++p9eOfjKgLfJeiYwXrl5uP8n47Aojd3w8m2O1mIML2OFZAjRTP6fYveRHLn0dTroQShhRhR+iGBaQP5Wos9BK1Zp/c2ZzskUu6pGcNwCmV0xY33Y/i816hnowxgTUwvwJnfH4x//WMoHDXMnPqwvbIGJxHot8rRFX9lSKHeXXjpM5g9fz221fjwWOHHaJVZirZdZqNdx4l4ZujrqCeoDTipE8xCe/3vfmoR2uf2Z/kDkJA+imEkzrpsBG794wu48pq++O0d+cFVWGyLl/FrPQFc/7sXCMxHUfbD0T6vGCs+rYCLDfX65ITSbQV+4vRGI6d+hS+jTZocL9pONAkJHabivO+WE15XSFm/QhoTfNIB6rGP5Wi3w2dbfDg5oxf1nfLI4DicOQKX/nQK3vqkArs5Nryyog433DkRrdIfQuu8oWib+xh++adpeHu1I7hqTCsa3PVGLr2KXkOK+jjHj1bkV0JaEbIu64Ob/zwH37uhFN//xSDsras3ei+nT63Dh36D30SH3CFoRTkkpg9EanZfXHT1RPz2zpdw4WWPomefZ80OB41jjRT6PvLhvO9TJ7MLKcuRyDp7DL4wh2IG2ydHqc7gOBx0ojoN4hSnOB1fZC33VziRZ47V9rjDIE7HOqk/t9SpcxQ6DWRcGU9BMMjY0v9+GV5CW0EASZuO1p2iyPj3Y+GLnyPvzJ7I6DEIXc57FItf+MQcoCVM5ieY0tViSm1sN+N8OLGpOaeByDKe5UB4/vmV6NlvEi64/J/IJHjqemE/pPd4CNlnDULu2Q/h9PPuRt6Fd+PMCx/Aed9+Ctf9ZgKeGvYOXnvPiWoy3uN3UA6NNMQD2LfPiXsfHI/sHvci+7x+yDj3SXQ5dzAu+m4vFA6dgHqXk8BOW1AoLMnYV8f6ahbfhx007O+8ez46nvkM2qQXoi0B+Ulp+ej+rf4EPstR6SLAJiiQrjhp9N/zxHM4lfVt12UgzvhOPv507wys3+XE/gYffv2HWeiQ9RQ6dxmMn988G1uJtl3eBoIgzWZ7Ue/w48Enp6Fz9v1on1mCNp2G4oyL+qJgzCq8sHw7OvJ5h+698Z3rC/H3B6dgXPkiNDCN5o8GlbyDjl17o2P3Bwguy9DlnDIccGqbDAGbFNE4rojajVaqvgF88vFmPPPMbHzrkqfQ7aw+yD29D35+7f0YPPA57NqqmeEDVObgKfmPPz0Dn2ytMQBboE2r+bdsr0BR6Tzc+qcS5Jx9PzLO7kX+Dkf6WcORffbjuOqav6L/gLl4+bU3sXl7Jf71QBm6ntEf2ef0R9o59yObcrjo8l4YUjgTBw54cPd9peh6/r3IO3sAMs/qi9xz+qDHtx/GwMK5Bnw+/+JbuOrHPSnHodSBnsg5p5f5vP1vM7Fxy07U1Dfg//1zCnnwJDIuLmQ5T7Nef8a3Lv0jxo57Ey+/uQOZ55A/3foi7fwBlOUYLF29lRwhX0yjyBrjPdASd4JTjgF7K+oxZux89Oo9A5f96HZkdS9BGnUo85x+yOvRH917DED38x5G9wv+ifMuuRs/vKYADz6+HIuWVqKKOtUQcJJXBL1ULR2tYW50IPNKS2fggu/+C+nncgw57yF0O3sQfvD9IvTvPQdbtuxmdQIYXraKZfTEydlPocelxeTDe9jb6DMrUB7u+xrSzrofJ2U/jMv+pwjvvbfNHI/hd/uws6oBnfLGIokAWCsVWmcNxIxn9+FHP+2HU7L+gVNy+xCwP4WzLn4Gz/RfgyonAT0TB6i/2pnlDTSgshEYP+sDXPHzfmif9zha5/THSZlD0DGjN/792GwcaBB4Z6COuV1+9B+8AF3Jj8zufZF+9lPIOKMvbri1H56bt9b0Db/XZw4l1TWHXo6n6zY14pLvjURqt0fR+eLRSOhYii49xpDz/73SwO2ivmr8ZXj/vc8waMhk/OjaXujW42nKoxfyzu+HrLNYdrfHyKffoMd596DrOT3Zvt648n+L8O+nFuLVd/ei1h2AWyvIWAe/9wDzrGL/c6CBY07/4R8i7+J+aJXek/qjc0weQafsYbjlb7OwqdKPet92puO4IKeFL7jdae6Le3DulQNwck4vtM8Yhvadh/JvQn8MGvo6arTARw42B8ef6mrc9fhE5PZ41Oh813MHILtbT/zh/8oMWK+trYXbLWfV4VltEEs+cadBnOIUpzjFKU5xOprp6HMaGFBvfRFqoDXIrzJSg4aXvAB6wHeaoeWn7pV30vivrHahhmCwqsFtrh4zq00VJbCbuegkdn5nCM5en9gkXsa60kDf68jTA3Ve7K8imCaOqKxxooqgsJZg5QB/72PYXxtAXT2BAEGLm0CsgcDEQY5rz7XZl05A4Hc3EgcGUF1J2Oz0Y2+NhyCpERU1MIZ9Q40WpGs20BXcFy6huatYYR3w52a+PgYPNm1zYt4LWzF70Q6sXFtnZtnNLKqbIIRx/QIiBDcuIqNte+vx+aYAquoCjKerCV1wOJk/Qcv2nU58trnenBbv9DfA595PjOpiOoIvluV0efHFZgfmLdqPF5Y2YPeBRjS6a7F7336sWbUXu6uBarbNTTDvY3v8LL+OedT5GrFxN7ChArj1/5biO1dPRb3Zo0/wzzb5odUBuj4wwO/8j5+aQa8mHw/U+gwvDzR4UNvYiGrmoVP+dbGdloszGzQ4qs1Mr9cjcKPZY61I8FH/3dT/APYzbRXrI9lU1hJkuXwm3zryuZFo2cH8dM99PeVFjISqRjcqGr1GjlV1bA+F5mj0Yz/lU9vgYrxa07cOMH0dAaxH/PG4UF1LnWBdaxsasYf1PFAP7KokMNfSeqarrQyggrqwlXH2Odg3+b6e3+uZr/aj72HZn24CyievxMl5o/Hp7irqzE4qjLZjUPZajUFekUXURdaLoa6G+sOyqhsasJ/838v2VtZ7UVvnYRvrUME6VTewnkzqoM45KC+3r8GsIPF6HMyHn8xbZzNou4Of4NzB4iocwNZGl1mpsafaRx4zn2ryVrP31BsX4+3Z58cXG72oqa+nftQRqOvmAeoZdX7H3kps3Mj2MS/J0uvSSgE3dtU0oEPOaLTK0ZkFw9A672l8sJ7yYZ1fW1mBmQu2YNX71di1v4p8Z3nUQ60IkX6o23h0uKjqS8VpoD6u+aAa8xZsxLyF+7B+uxu1gWrUudih5AuVo4KM1dh6oM6NSury7gYnZSu9YhtYNwQqWC+tNmAfZ75eTyPLcKCO7f9opwsvvVuHDrkD8cMfPg+Hzpcwg+Z/SMOwdFAycTkoD+pJZQMDZVFV4yZvnKYv63dFo5M6RFlRj+sY1+nWTQscI6S7VGBCfuM00IGnWoHklqOEv93eGuytdGPpW/sxcfZHmLFoG9Z/wX7qdhq98Qb2chxhJmxPANvMMKFtL9Kvt9e4Mf25vVj0ag12VnA8kfNT4wJ1w08GcGQyh6TuZ9wDlEFNHXtWPevPsUd8s8Y+rTQ4HDcqKK/g367IFHcaxClOcYpTnOIUp6OZjnKngSxTfup/s9LAvOAPfcpM1PJRGZ406jWtZ2ZsfTSuaSDqt6LQ2KfJyjg0APnN5HDoduAxT+JlNKeBOcegydiV48BDsEZznp9uc5NZcEl9oxGFR6sR+Euzt+aBDG0Z6kQ8kqAOSTN+Hq219upUM8XhBx8yZ6bVSoJgMgFq5ad980pjMtAd/VqpYOSrSNoyoSXl2ttOgBWoJwCpZ/4ql6/5TGDILCjhF8JfUxcjfE1J6iuBbID18AcaWb6DeejoRXmZGlkcATjLV52UxidAbtqivBTHybTUKZ9mrdkOZqj9/T4n28dnPl8Ni2mEDoyvYF7f+k4xBuWvZiptrdnNusohwvisr9rImjQFVo+/xUvCRcZVicyPD1QyoRXjOEzbTD0VWW/MA75nvnJA6JdHKxLEQ0UlCXCqTcbRoL5knroMKDUJVDfKVGXL+SBemj7H/8R3s9qDEbWywQBuZuT3aU1FsN4Bc94Ac+Q7HTIHtl/56iBLNwvRlnXNbJuqqhD2TzcBt44wIF7DP+9djOt+OZrAz8u4mnUOno4fFCLLZxzVScBf36WDAfImyH99V+aqf/2X7dDKFPHLz/5vHA/SO8pSOqTT86V75jkrJb3T9psG5qmnGlU0Cy5+GuDIpH7mJ4eDFEO3HpjrPtWepuDXbQrMQ20UnwMEwgF3A3YecKODrgTMHoHEvBFom/MkPt0g5xY11SMQzHIC4mUNZap2OFkf6ZxuAGDZKl4NpfwYge8oH0bTI+mIF7WUS1NdVHnTEdU3dDaIdE6yVXwmUBzxg/JSfuYsAemxdw/rUmPOwxg5YTU6pj2B4cPXUh7ij9L8hzQmKCs9l/7I4WX6gKqoPq56q6r8rVUj0gltn7H4KEVR37MOORU/JRpdK+rVM8M86hP5Ilm5qQN6H9A4wTbptfTC+JOkB4Eq0yw5ztRn1XwXv1hyVJ0CukJBCXwcG3Sah+rGeF7m4zd1Vn3/M+YpiOJOgzjFKU5xilOc4hSno3J7QniKxfCKU+wkXja3PSFO0Ui6+B9AYW3l0KeWb2smvo6Ap6x8BX78owLs3Ut8Y8DsHgKcpnM2Dh2PHDskdgnZmdAEfon8de7Iyk92ouvFD+DDtdsMLhZbdW1nkL8G5QbTH0PdX/UP6OwATzV2VwAnnXm/OWAxIacU7XP64LPP5cDRCgY5wuSgCkJc08ivs61kr1ZaaJNFQ6AO2w8Al13ZH3/7v+fNqpJ6b1VTxDgdLMWdBnGKU5ziFKc4xelYp7jT4ASluNPgUEm6+FXUr2XNchxoFrux0YnSsS/iltuexIbNVXB6tNycKTRDqmlizaCbafcThMQqBXkFNEMfcMDjAl5+5XNc9+tH8eJbGw2A1US+wc3UT63eCALp4LOvDUgfBnIGqAeogc7H2FYJnHrew0joGrw9ITmzPz5eJ8cCWaLZca16MNPnNn36mtqq1Rt+r99s7Xnngz24+Xc9MXn2KrM6wOHVShcJJE6HQrH87Yo7DeIUpzjFKU5xitPRTEeN0+CRRx5pehqeYjG84hQ7iZe//e1vcfvttzc9iVPLSLr4H5AXdBYEVxpolcGSl17BooVrUN+oZfmN0EnvZmWB/AQmmTaXa+n9iUHqusTGJG3v0EZ0Fzas343x417A/mpdE6ntEHyspeumr9tn30lKewx1f227aHQ7zJaA197Zj47nPISTzyrGyWeWosPpBViwaDe88huxzeb6wm+ItLHA6XZhf4UXxSXPY9OOOjSwYu6A05wD4ac+x+nQKJa/XbqOsH379nGnQZziFKc4xSlOcToq6ahxGjz00ENNT8NTLIZXnGIn8fI3v/kNbrvttqYncWoZSRf/4zQQWY4DkVTVre3g/NSe+oCuWlSSLyeUTyyngZochJ9qs/aXa1kBzGqDev6sN4fOacY96FXxeLTH/9h1GjSw2qr5K0s/wHd/9CDa596F084qRpucYWif2R/f+e49GDVyMhyNbJT+/4baZpwGfqc5mFDXYDaS5S444PRVwB+oh8uhgwPidCgUy9+u9957D6mpqXGnQZziFKc4xSlOcToq6ajbnmAZWPFwZIPAmbYn/P73vzdAN1yceIgWxDMdQhjuHfWYKNnsQtDMOUGyDl9DoJF4mOhMM8vWu/9Ke3wGX8BJeOowTTd8+ZI3OuwueMBikJ86uk73Z+goyOBWDpOH3h9D/NKtAmrjhs9344UX12LRy59hwZINDBuxaMkXWLLkPSx9eSU8umnEpVUV4fM50kE3SOikDbly3JSNDkyU38u8J785UPxXmng4/CG+PSFOcYpTnOIUpzgdzRR3GpygQY4Cy2kQ7n08NBcICon8w7+THjMQJJs1+QSPBomZ1QW1fMEHXn6cQE4D3Q6gYMC/2i6ngXGmVPG9J/jbii++RuTtsRE4uhFv66R+HYqpww6Dz4M3injNLQE+InRtTfDzuz3t1xmCNx/oP13nyfpKJyUL6ayC2Sby3+ni4fCGuNMgTnGKU5ziFKc4Hc10zByEGKfDSzJUrYMQ9T1OLSXxTI6ACGRY2sAglGz91j9acm9/dgKR1eYv2y1e2PhxXFGFuQZRV1/qCtigLugmgio2tY5g3Rd0GPj9TTcoWCi9ib4ufnwpD9VRWxHkMWh6Zp5H0fE4HTaKOw3iFKc4xSlOcYrT0Uxxp8EJSnanQZwOhoSomgNUIXvyFd0k0Q9rz/4JQsLDhhX6UsOgGxT4IX4YcHp8ne/g87vhYtucDF4GrbAIbksJaMU/31uzzJrJd8NvHAvijWHG10cqzh5MHeQ8UGjS3TgdcToenQYOhwMjRozA3/72N9x0001YsWJF05s4HUnSoZoWz/v3748dO3Y0vTl+SW1++OGH8Z3vfMd8Hq20fv160yfUvysrK5ue/ofmzZtnZBbvK4dO4qX6gPqCeK7x6FBJcrPG6DjF6ZsijemWHn7dY0XcaXCCUtxpEKc4xSlORwcdj04DGetWexRkxB8pEiBYsmSJKeNEAMnRSDyw811AOhxAPV5IDgN7exW+yfbKiJcMwhnzdtnIgRBK1ruj2fFxrJB4aPFTQePRoZDGmKNZPqqfdEp6p7FQ349kP7DKC6fHxxupjRpn1H/1/Wj4GyOHmHRRn18nxZ0GJyjFnQZxilOc4nR00PHmNLADORnrMrZCDVjNqFpxwgWB3VhnXWUkW+lOdMBlOVDs/NXv45Xs7VS/CdUX6Z10yYqj77HoVCgpjZWHlU8oqSx7HMnCTt+k0yAURIcG9dOD4cvRSpKF+G13Xh4K2LPLTuPb0UT2FRCh4Uj8LYmlLxwPpHbaxw57UH8K7d8toeb6oxUiOQXsf/O+zn4bdxqcoBR3GsQpTnGK09FBx5vToDlwJLLexxJkOEUz1O3lHeqM4vFCMmgtnhzPjpTm2mg3rq3QUpAjXoYDD6G6bV82rBDqKPsmnQZW3s0F9bVDAUNHG9kdmOL/wdI3NbPbHGnrhdW+SEGOtcMl00h94XijUMdIuKC/NQfriAqXX7gQSd++qfH9G5W0Gp2WlobExEQ89NBDTU/j9HWQnAa33HILbrvttqYncYpTnOIUp2+C5DRITU01fwsVpkyZ0vTm2CT7zFckst4ryJi3B6W3zxBaIdKMisCZjGcZT5GcFCciWXw7EZwGkQChnltx7KEls3ORAEQ4XZPuit/h6mOvyzfpNFA97CF01c/xpC92R47aejBkdzwcTQ5d+zgrIK/fqqt0S221g/vDJdNITorjiezyVlCbNQaIr/q0HEgK4vHBOGSs9MrL3hdDQzRnub3fhjoojxR9o5IWcO3atasxku655x4cOHDAhP37938l2J+Fex8P/x0sXkbiV1VVFW6++Waz2kDfQ9/b00fKIx7iIR7iIR5iC9HG09deew1t2rQ5bpwGMlAtYyYSWe+jxZHBFDqrFc2IitNXyZLD8QQCQ8nSCxnY4UjPrTh2R1RLeGKBBOmiPY+WOqjsdfkmnQbhKBQoHQ37tg8XWW2KpCPNkR0ot1TmR4pCt8KEGxcPt0ztDphQR9PxRHanQDgnkXhv/7t0MNu/rLSH0tftq6i+ri1o36ikGxsb0blzZ7Mss3Xr1uZTISkp6StBzzQL07Zt27Dv4+G/w8knnxyRn1Zo164dTjnllLDvrLQKJ510Utg48RAP8RAP8RBb0DgaaTzW37bk5GTzXk6DyZMnN/2VPDbJAqsKkch6Hy2OSAaaHahFWq4Zp/8mSw5HAoQeLWTpRSxOA323A4JYZucEEq341moW6/fx5DQQ2ftZS1ZiHO1ktelgnQZ2nTlayL7KQHoZiULP/DgUsut+qNPieCG7oyXa3xo7YFe/aSlZaQ+lr9tl8HWN8d+opHWmwWmnnWaMpTvuuAOvvvoqli1bhuXLl38lvP766ya88cYb5jP0fTz8d3jzzTfDPreC+PzDH/4Q11xzTVie20NzecVDPMRDPMRD9KBxNNLfrwkTJpi/g/rjLyfCoRp33zTZjctIZL2PFsciO3BTCAU0Mp5UpkKklQiKI9CgOKHLdqMBJHve+i5SfWSMW/nIaFTesSxTtdLagYjyjgZowrVP8e3lW3Wzk+Jb+R+vZPEwEv/03B7H/juWfmYHXZpptXiqEA74W46FcHnby26p00C6ZeWtEE7e0cjKWyES2dsWiZ8WCTTZ40sXxatw7QpH6nNKb+mwPvU7Uv8V6Z3iKKj9Fk+sPFR+OLLq2FybwpF9dl3lRiPVye5Ystp0JBwwdgdPtBUEKjvW+kcjez4WH63fCkeapG+Sr9VutUV9rKX9oDlSnlaboumLyrXiKbSUrHSHIhORpfsHU4eDoa+nlAgkp0HHjh1NYx944AHzzO/Xheb/TdrKoBCn5snilT2EkvhsHYQYjuex5BGnOMUpTnGKTrGMoR9++KFZTae/hXGnQXiy5xkKDgRUrHfhDD27IRgpyBgNB/rteQu02EFkaIiUh0WqW7h0VogE/kPbZ+eFFcItT7XiHaphejST1f5IBr6d5/puN/ZlcEcje1zJRmTnfTTgrxBK9rpESxtOXna9U71bCpastAqRyAJkCuHqJ1K54fTPHiLJQqT+Ea0PKQh4h+tHdv4JxNodb1YIB6Ctd9HqFYnCgeVwZI8XLhzuMd2edzSyjx3N6XskkiwscCqeW7Kx8lU4UiR52vUyXBDvDxc117/tZK9DNMdNOLLSHerY3JL6Hg46cpKOgazbE7QcUwchRnIYiOxG139ML31j0P8Mfn7xw8N/XXzuYfDzP8Bngr7zm5JELuaEIfHyV7/6VQtuTwhyUjz28pu4q0/xVlzXrwDc/Obls2AcvTP8NsLhk8AxxHjV1dT9q0FNCQa9V5vFE+mVgp6pjdI1JWiGmvIMcsrdFCzOicP6LX12MDSaT5UVLMFSY/2rCgU/gr+l/xrUnaynF37zWv+ojspf+Qbz8ZryFF+Ss0pU/KbyTWODMa00ys90VVOe4tUz6H0wSPoqT0mDCRhM3EMj5Rns41/N1mTd9MWqhTioYGRjPVEcJjLqGPzKQP6Yh/yhoPbw08SxgnnVlEJxFOL0H2riiXj2H24HpWV0jky05GLJJsjTJjLpm+I25RV8qZgKX8aMTopmMpaeehgkW5aovPVc4Rug5hwGojVr1pitCdYf/7jT4L/JbpSHLhu1G8bhDHvrnYIAi+IoCJzY34VLG2p0W99lyCp9qEEbyQi0l6V8JGO1SWDfnke4JbGR6qC4VtpwM7SWHBTnmyc3ds67Fz/Lf8f8xTgcZJ8FjgTo9Dw0jh20RgMc9rRWvOaMdOudQijZ84uWNlSHQnWnpQBFZKVXCEfSH3sZ4cgOHhWkf2qT0kqf7e8sXoeS0oRLr097erU5lOz8s8eVflv5hnOmWPEOZlxVGit9JF0JdURZfVv1tfRFOmcnOx9iCcrXkrtd75VPNJLM7PkcDNl5YB9nDjXf5kh8tctZbVVdFOxjpr2/hI7psQS7XO3lNeeYa24siEZWutC+3lKy94lwjuPDTUdG0jFSS65c/KrTwDI/BVhkFDbZhXzvDxBkBQiC/HxHZOPjcw/fy4T0yQC1DMsTnMTLFl252GTUh3UamHfku89NlnvhY95e8tknXpvAf44LpwFbz+DXp48t9wmQU6sMMNJvplE7yRXB5mZJUQxLxEXqbIAgXemVl9Ff/vaRr34Hy21kcJjyBGSVQsAsKAn+svIy9Zb+Oxic/Gk5DcR/OQGsT9Vbqfnbp/h+uPnbyaDPAMsF5WkSy0Ng5Cf5q/3M09RR5ameNAFNvsEgR4WB94YvfKa26PshkoGhpo8zy6YQHBdUP/5gEV5+9fLTiEfFm3+CdTf1ZVuMI4XtlpR8cDKp0uudClFdXcE4VlmmZKZXMHEY4vQfMv07KG8vNcpDcOBlkA4YXeZgoPHACuJk0K1GuSg08TyoP8qvKVjv9cP8boYsfeOnnzqnsUjB9AmrT30DZP/bFYmOtysXLYM4mkFrtVUhFrIbyqFp7KBaRlQoycDU83CzlzK0rLTh6mvPW0FGZSh40G97nFBQZwcVKiMc6IsGZEProGAHVZGMW7tRe1RQ/TvI/9GluLP848PiOLDzPZRnFtmNaks37OmiOVQsAKFPS3eaAwrWO4VQstclWtpIIEj1CKc7sZCVh4LKtoIF+O3v7cDQTvb6hwP1qls4nllk57vaGPpev62xQyFUr+3lW8Eu90j9wIp7MACtOXmL7GNIOOAmvoTKzYrfkmCVr0/rWSxtsufRUlK9I5V1KPnGQnbdVz8N1RfxQc/t9bLLK9ZgjQsi+/PmKBbdiET2ckJDtL9XoWTXva/DbvhG/5IcrNPAGJdfGpQyCvlhGf1WCFqmQXuR74MAg8+scIKTeNkypwGDxVsZ518GMVjPGUE2uURigWcDAsw8riWOY4dUWaMn+ke1V8MIJgUyNYMvQM9HwtPGOWJAK+Op3YwRs9PAROM/Us4mRhmM3hSC/GTQdyu+opsP/dv0Ul8VxwpWlU19nAwEZaqV0ja9N6LTd4+cAwLPDWxLA58xrpfpFPjcgC2rDiZT5SfHQzC98NhXylZdzBfGMSseGpq+HyJZbVR5VvjSwcJ6+RRUd8mmKRiHCOsbYD0CjQzig1ZvCNRKnkyjfMUME/R/BR/UMqidaq8KMpG+/IiTjYxSiY/kqXFuNZBFkjv5qf8N+6RHkoXiKb54re9y4EgeGjxs/FUwwg7KJPg7OkmWJh/lb+mHKVs9RWVI9l8/nWhOA7thH60dVhyFWClSGrsRbTcAYyU7UAkle94KkYxDu4EbCqhimdm2OxZCjfPQOoQDbOHIDgYjlfv1klYb/BtZCRccsuNA/JJxbbUvEmC066NdNyxwqxAOiNsBrp3fzQEF651CKNnrEi2tJX87IDgUh4HIyqe5EKnP2vUznEPAInsbQwG0neeR5GXne2hftuetEKtOx6InkSgWYNicXMOReKN0LQkWz+3jQehYEY6suAotJXv7Q3l3KPk2R3Z9U4gmN/s7a9VKS4K9X9nLbI7svGnp+GrvC5GC4kRy4FnUUl04VDr8km4BHbTTQIZgkz1pjEk9N7OnAgcKAgea/VQgYDHPYjc+TwRqqdPAsNjiuQFqVtDMM0XC4BeQNsBAPK9jkEkgkK0ZyKDYjhkyXiY1VrUWoGHbDNDUFgyBo3qGOnipd5qtDxj9s0ApoWZMeqZIKsf66mM+LqZ1sIRgCIiXWjVg8hcgUl0Etvjxpf4z6IeJw/IZ/ATKPn8jmyHwW81PgbOmGV9FNWkZX80TuGYf8aOGMar4neXJYUAQrpl4L9vlU55fOon4jkE6oVU8WpkQXOGj+qluypQPTXw9F7+kAYdIzNLI5Uvd03fVR+WoXLbdy6AVEl/KQw4L8U+Bv42DwZ6H8tU/DfzawPbK4VPPfxnXpFOb+F5lM2hVg1nZEKf/kHhj5CCdIb/MCpWgnvopE7fhq5xS0kvpjvgfTCdeBld8BJ2Lyuo/L5seWKEZ0soQrfoJrhyRPgTlp98+6ofvG5LbieI0kOFlN86jAQuRFU8hVoqUxm44yQhsKdmNv1Cy5x1NLnawIz7YyXquEI0s54V4Zyd7HRQnlhkokYxpu3Eq54Xy+kbJvxXz/nIB63MB7ixYgd0H0S3tYFohmsz1Llw8u0MlnBMmEliyPw/HS+udQijZ6xItrcqw65NkeCgOA5GVVyxB+huqY/b6ROsHdl2189v+PBq4sYPF0CX9dv6FvotGAl5WOvFS8o4GQu1kpVOIRHZ9DMe7w02x8tIiK65CS/TIzrdwMrfne7jJrm8tkfWhUkvaZB8L7LoeC9mdG2qr5USy56nQXN9vqS4cKh1+SbeADtppIPxBe98E8wdH/wigVjcFzRTuaQr7GGqYgYxIfo3B+DwRqKVOA3FYtr7hn/nRFPhbYhBE8BkZCKRqMJYMCECbZpmt6McMSdcM+JWyBQGQWmA1P2AA9i62rJ5BgFvtlKMk+MfioJwGhk+1LK2SOSpU8fF+PhcfxVvlLTArxwA/LP03jNWPpjow+Fg/D2XgM3KoNk4dqyUC+qY45WkJz7xXO5hegK+pyYR/LK2RP2sZVUCcD5SGQcXqvWrlYxy/+abZeSUmKS4jCas1g5liI+VhgJ9pBYMybnpuaiOnQdNXQ6pPsHZWXay6fxlMfH0J8srDf9Wm4EoRvpQOKJ0CH2mbQnCrQpy+JDtvLdEYFunEjDpqxD7zSKwOrsppCvwe3DTmMjH1Xq+bhBL8YQ/NkMYnrxwEJq30UP3GYUrwUo6x9cnDTyeK08Bu0AvYNmeUW3EVYiEZ4pHSRAIq4Uj1Unx7sDs7QinWvO1gx56PPb34ojwihUgrHux5tNQwVL3sKx1iXaVwRMlsU8hifbLwo0cmY81ujbqxk9UWheb6ivhqxdV3i+zykmFuB3oy0q13ofy2G/WSSyhZ7xRCyV6XaGntjp7D4TAQWfkpqGx7EICRXtjjhDq+7HUXD/Q7XLDnY+ed3sWSXiFcepH9nb63hMRDe/8SUIuFrPgKkUi6FCoz1U/PjwRJZlZZoTwKR1ZchVhJ/cHiV2j/sOhg8o2VDkXWh0ItaZN4b8WVTA4XKS+7PkVzmrRUFw6VDr+kW0AH6zTw+OUIcMLh8aHOHUADLdF6nxeNDE6vH420UBtptNY5PXB7aZB6BIRoSMpQNdSyP1DHIzXnNPB6NZMcINs0sxqAg3ys87tQw+e1Hj+qyXfB1/1OQi1a49WMU0n+VpK1Dfx0UAYeolOfz08M6oLPVc1CjyW+q64Kgjt+6pAfbgfbw0cOYnMn8WkVcUklP2uIcVxGt8QRgXtzekYMpPy1CoYfTO/z+ai/HuqyH1XMs4Kva/zkN7/Xspx6p5+674XPnFdA8CpspYJM2YyABsrKCSf7Qx1lstfppszYR3we1LCYBuZf59tHWTbCE9hJEPUx3J4avPTW55jx4utYu2Uran2VfF7DurgZz2/cP3v8TkI/yt7nYn/yUJ51fL+P5ewzkFDQrFp8YTsaqBdelq22GOKzw+U08FF/PIFqNHj3o8azl210sL4sm0G6V8GC9gaqcADVrHctddKFRpbrYN2cYjNRpYdy9PMz4PcgQL2Uj8fv9jHOPuqtG59sqsKMBR9i/ZZ6I2P5EwJaSiFeqz8Y54h4HSeLxCOPm3z1kskcI7zkJ1kLDr+oY3hv4y5Mf+1dTHzhdSxY/g6+2LkfDRy75aDR2QeuQD0+3bABFYzspn5Lh83KFOm1AtnfpE1RSVEbvNUc+xs4RjlR66+ivrM/BGqppRXsO+rLXz/Z/3ZFouNxpUFzM25WPIVYyG4cyaCyk/1dJANTIMFu5EUKoRRL3haFy8eeviXBTodiGEqXrLQCAc0tdwW2Y96dZ36Z5usJP8PjS3eaPhwLqU12ozp0GbydooEPu77aQaQd+IaCy+aAgvVOIZTsdYmW1t62SHFbSvb8IlGorkbiSazBDnbsbY81hOp6NFk2R6FjU6yA3kqjEI3Eu1C5KYhvh9t5YJdTLOOBvT6xkp3XkRwsB5NvrHQosj4UakmbmhsLDoXE81jq0lJdOFQ6/JJuAR2s04A2KYiH0H/gSnQ7czi6dZ+ErmdNQbczZuKMrovQrdsCnH72SJx93hNYtGidOU/OGP3G8Jf5KWB3YpN4Gc1pYN1kIfDncrnw/PPv4v6Hl+DCSwuQ230MsrpPQ+7Zs3D6BeT9OYNw+rlPoMvZT+PsSwpw4RVluP6WZzGoaBk2bCbbaav73TXMTDPhxwpJaRSCQEOgiDgEr7z4Ph5/pAzfvbwXcs4cZXjR9ZxhKB2zlI2UbslxoHbGYv7IoNbqBH5QNz95fzPyh87Hj386BN3PLUWXM8ci59wByDtnKE4/ZzAeePQlAnmBZ8nHoOBgWjP7zt+sqw4BnDpjHfJ6PIOu38pHxtkDkdd9LE7vugBXXT4a/XrPx0vPbjagzsWmDei9FqmZZWiTORQndXkcS97ag1p2j927XLj3gfnIPq8Pss6bgKwe01ifESgY8g78bKJ2Aiyc/zEuu2I4cs+aia6sZ/eLnsElVz6EBr7zGf3RqgfK3aw+OXTAppXv+/YEMHTYMjz8+PO49Mp8dO1RhpzuM5F59jSkn0d+nTMKeeeOwhkXjMN5356On127FPc9+BqWvPkZKlw70BA4AKevCl7/DjJxf3A3CXnqZn9Y8d5upOcNR+v0gTj9wqfw8foDxteoHQoGtZLXwRUVShQni8xiDB0Kiko4yN9qjx/PvvQJ/vh/83Het4bh1E6Po13n59Ht7Jdx8aXP4qweA3D1DwZi0NAleG3FFqzb6sLNv++DDTsa4dDBn9Y2H/Gc/JcmycXQHMnPMGPqSnznu0Nwevep6NJjIvLOKMesOVXBnROR8esRpRPFaWCR3diLBuasOAqxkH0JcKhxZDecwhmY4QCPgIPyUbAb+6HUXN52suLZ87GnVzlWmdFCKN8O1jCMNmMemb4Bp8GPHsHENbtj+qtpkX0mVCGSgyoa+LAb5tIHkfKx9EGfoSQ+Wmkkl1Cy3imEkr0u0dKqDLvOqh6HCjytvBSikb1c+zhkX60ivquO0YLi29tob3ss6RVCeRRNltHIPna0JJ3ISqfQHEl3lL99PFHQ71BnnfgTrs3RgqUD9n6tEI2UJta4drL3AbUpXLDnaz1r3ikZG9nz1/dYSXHD8S5asNfZLrtwfdRO9vGnubgtJemSlbdCpP6vcq04asuRptg16AjQwToNGlFtZrjPv+oetM3qhVZZQ5GYPRRJ2flIzixCavoUtO40Bud9twAVxG8eczAfEzYZocEvJzY15zQQyWGgeG63myAwuHe/qPwttM57Ekk5w5DSdQSSsx5G3+Jl2LS7EW+t2It/3z8frdN6ITW3jHLJR+vsh3DXY3PRSPzdjN18dJH0xNRXuhJcdaFz9uQA0ST6hOn7kEI9S+o4kSCzGEOKlwa3bxhAKUCv782RgBBDk24KfDlZxoZtQGbeKJySMQWJmZNZzkzq83hknjGYfNbcLKObczqYVuWYJQe6ktGDRj6+9qZ5OCVnHNOOp5wGIyH3AbTLGIHFr+yhHGsZnTL11aHS24DzLuvLfjMeCSfno23XIfjrfZSVy8V4XtSxKVf+nG3MKkBC5yFok/sk+gxZzPbrFoctcAYaUDZtNVpn9CcfxqNNRhFyzu6JOvHJ8E1bhawtKvp9aKTVLx6PgwDfQ/APLFi6Ee2z70NKJtuYMwQJXZ7Bi69/hM93VGDlx1swduZKfP9no3FSWj+2vy8u+vFoLHpzCyXE/zz7yLcDweNOWN9GtvexQa8g9dRJSEyfijY5T2Bw6XNwUjYBOYOaxpDg4vdDb8vxRAHyRis36jhGfLa3Bj/5fRl1oidOzhqAU7N74U//nI9316+mzGrR4K9DtcOFRa+8jyt/MtS8PzVrjPncvNsdPB9D+iLBiM2G5zpnonmHo8/byCQNyB/5LpL5tyAhZyhS84Zg0pz11PddjKGtPl8/2f92RaLjyWkgsgwvC4iFI6utCrGQ3UCLBqpDDUw7MFS9ws2aydiy4oRStLztFMmQt6ePxo9odLCGod3wVv2OFvLvfhmPm+0JF+DO/Jewvl5/BFtOdtmGk6vIzoNQ+dkdBArikR1ghuuHdl2RXELJeqcQSva6REurMlQ36Yv17GB1xyIrH4VoZK+jXdei8TEWsqc/2PHtYOtgyUyybinZZRBOZpFI+mgfs1S2ZGqR9bwlwV6+/bk931ASILbitWTssOffknAwPA5HhyrrlgR7/vb00RwgoaD+SJA9/0i6p+dWnJbI92DpyLQ0RjpYp0Et/74MKF5Lo/QZJHeaiYSMuQRG45DQlYZiVwKIvEFo070nXltXT9iig7i2M1VF0PAXvorb/IaXza00UBzLceD31cPrbsCrbx1AEkFaYtYUJHSaiDbZgzGsZLk5gD/g3woHefxk8Sok8HlC3liCzYFI7fIwCsavhOtY4nsTYAn+o0MAdauAgyrkgZcAc8m7NUjs+gwSuw1Gq9ynMXDkC0zCuJqaVhLpWXMkdVZclRXQXvkqOAKVqPAAZ1zyEIZNrEFKjzHk5RjyvIy8fhyDSpcyjpbJew1YM+nNSoM6fnVi7ccH0P2Svvjxb15nnxga7A+5vdA6czI+2cjozN/vZmrmoTUA19y8lPmPQ/LpE5GcMQRDRq5iHIH9HZRXA67/9bNIyR2JhDPHolX2QPQe8paZ8ff6HGYL0HPLtiM5sxcS0iYjMaMQuRf1MVsrXGZFj5SCn+KFqniIpCs9dZih368zFoDPNnlwSubTSE0vR2LmRLazFJ+u3AefliKRH45APXY2+nHtndNZtwIkZE7FydnFGDuebfCTh1RI4zSgjtcG9mD47BXk8WjGm4vkbj0x69WPyFE5UBpZfzaC2coxdBiacnxRwEOdcGDtZwdw5neL0CptKpI6TsVpZ5Wh/9i1qJCek89UCvLQw7HEjVrq4NZ64JHCFehwzmCc1O1xbNhBDdaYo0NGxXOJ0ai4zjvQapVmSCKiioybuQ8JOcOR0K0IibkFGD9nF8tkRrH0ySNA9r9dkeh4cxrYDa9IZL2PFsciO5BTCJ11sRtOoQamfeY0khEYrb72vKPJxQ5g7cZbqHEZzcCPRAdrGMYih6+dvjwI8Wd4ZN66Q1r3GU3uFjUHPuz6oe92oBduds/OU5UfStY7hVCy1yVaWkvGcmLYnRqHMi5YeShEI3sd7dsL7H1QfGop2cHrwTpAmpNlJLLStKTvWNScvKOR+nqk2WjxUHnHGiQLuz7anRmRHGYi6YwVryX6Y9e7lgS7zhwK2fWtJfqidOH4Fy3Y5WLnVzQ9Pxz6HI1UJyt/hUh/N5pzch5u+kb/koRzGuhQLA8Nfs1UGiwkzOGm0WX2IWvVQADrtvnQMeMRXP/LcRhctABDhj6PofkvYljRDBQUzkZBwTRMn/kiGsljN41Ivzl9i8APmokKHrh1olNzToP/IoGlgBdL39mPlKxiJGSVEmwWo016EQpHrmgCUxvhobG/7QDQLrMYyVkEo3nFSEkvxreunAgXZeHVxnciPp/XZ5bZa2bRY+TMhx7CWPUL7YlnPn4/f3v4XMDOrFZ2w+mvg4f1MJiUGQZ8BBPeBnic1Bg+C+YnUMz6mEv7GxiP+fAFcY0576KBlfUQJAJb4fVsYDwCbiqFVhHoSsWAv4LlBPMzoFJl84eAtqopLPza63VIzumHxJxCguliDCp+jzzlO7UlGKV5UnzVU0EJWZhuINB5EOd+52G88i5w212zkZw9CIndBiGl80xc9O1yONwEaWygSwkZV+3U7fjkAu59aAH6DFqFX9w+Da0kp+yhTJuPtpmjsH5PpfFpwE1A5iRopgx27tqHR/7xPP7w6+koGPY6ahrkIGKDNavP9l//V4Kv7GEEYSPRKmMEns5fxv7DTPwO1tWPha9voZyHGsdDStYI5J3/hDnbQPyXXD3+Wpa5zzgi/AHyWTLVEn/JRVP8jCe+SZyxUNCBJV4BG/dWoV0agSHLTcgeicTsInywdoPRK0JTRmE72e/37HKj6zmPU16FSMiYhDZdR+CFt7bAraUjbIeXeqQbKxq9TpSMmYrf3DEVYye+j0Zm5GN5Wi7vC+yjztTBwaLFd69f51aQ634XP1UnxlN2WiriptIQIPs8TTrJuGY7vY/y9bLt5G9Ay/DJZp3472Ukv4d5SPela8xfzgozBqrRhsh1ZqLg4TsXQbQbm5l+G3WB77T6gwru0cp+7OHzKpbNMU86rZMvfTTN/bvIGNZN5TD42Xd8ugGEkXROhm7uMAVKvPxkS1iW/g3y2wqmj5hbKdj/qFC6mWB7pQvnfL8cSXJUZRQg/YyBmLt4IxzkMatH4j8SsgI7r884yFzQBOPICWuQlvN3bNi9nzq8Ex4pj0RnVKSC5W1nfxTPCf4DtXyvm0F0k4lWvOgcD/KP+UrfdODhhOfWU/dLkZI2FskZIzGZvxVBfz98nmrz3RxCQhn5tc/N6+DzWr6nbNTfyTMP+eTzNQY/XeSvUwzjmOHdwjLl0GBEtk2OuyCf1C4GtS+E4k6D8GS9jxZHJKOoOeBkN7BCwYS9LpGMfrsBHkqhxlskA91eTmgd7Pm3BOxYZK+DyomVrDodrtm/QyfrysWWnWEQiexLryPxVc+jxbGvELHrWSQ+N6dP1juFULLXJVpae9l2cKIQDSAqz0jgwp5HJAoFuep7FoWupIm0XDoSKW97+nDtb46ak2UkstIcDKC1O5Xs/IiVmpP5wZId3EbSVfHcrtORVhu1VJYWWfkqRCPlH6nsSBSrvqmNh5Ov9v4m3kXqT/ZxIJIuHixfRXa9i+aUONg+cbAUXdJHmMI5DYKnaeuaLP5oCgJSApFefrpo8OWPfxmndfslXnx7CypptNfxD5Gxg2mYyXB0CPPwU3jT7Kc3TgMa6YwnwGNs2BOcDs5pACx9p5LgkOArmwqdOwRtMgeioGxZ0FbmPzLMBQTSevQnoC5BAoFrck4pfw/A/lqCJYFIX7WRZyNlWc88BT90SFnw+R6CrAbUElQZ/4IEqXwpNIEDHwUqkOThdx1yV8d3NR45moIrAGS9B5ijluoHSYY9ARPBkQ7ua8BugsE6NAZxMYEBNYJ6xVL4SRAhVE198RI9uAUkCCaN3vF9Y0CHtmkQ2IVX39qF1LzBbGMxWmUPR/+C1YyrTKRdwS0EzZLiM4ivkZwGy9duJ4/zkZBXQHA8Cu07DsOiF9exTgQ0YjrLE4h28PeuAy6cd9G9WL/djRvumIlWmZQTgXJS1yK0zSzD+j0Vpiyvq54gSI4Z9hWWpdldyaCK+dUT1PsJ3DRlq9UjN9z2GkHgmOadBnmFBGiT0OWsMXAbUFfD/sd6CT+TJW6Wo2CAtQlqL4NhgtofGzXnNHhv7UaJj9L/j9NAN0o++NQSJGUNYJxxSOxUgMt/MhQVwo9yMBEcugis6xmvQfrEtDpIUkvdVUW/8UBxlPHVUP71qPfWmklzJ+PKgSDngoP6qLFJVwr6de2jtoEQGOswQN0+YZwo1DUXlU6OLaccKQT3jdTLBhbiYFqHWytaxLt6s33ELKeXjJmHPGeewH6mrzf8bGBdjQ7zvVv8DNRwrKtQYawz+wPbowUXDrZBdTB891WRN3vIQx0oyfRsWz2fOyknXacZHGf5gO8UpCsq3lDTM4WA6Q0ULDVBzjSNuXc/sRDJaYOQkjscSTlD8Zd7XzL91+GuYj7MUz1CQlaQDNUfWU/ldIDd88qrBmPrTvZpli9Hi8cR7LN+8typwy/5zMXI2ubkVJnMw02+q7petzKV88ZrcxqMREr6aOrkcEyev455cRxgNJ3j4SLTPOSBW6unWC+NPXKcuHXogRwrgQPkgxyUrD+ZoDrKWSReVctXIB5IB6k7WqUiHhkRib5k2H8o7jQIT9b7SHFkvNnzUZDxFM6Ik9FoxQk1nOzGV+jMkfKyA3qFULLnbYVQ8GAvI5yhac9D79W2cKR0AoWhBrY9fSSAEI4s/rUkzRGl2qV4JOvwOAwssvgSyWCOxagO1QGFWJxD4cCKPY9QstclWtpQedkBovQnHACzg/1w7613CuFI9bHzIZwehwKZSKBI5Yfjtb39Sh+uniLlqz4WWn4ssgxHB5PGItXDSh9pXJYzIpy+hI4vhwIiQ0m8s/JVCDe22XU13BhgH1dC08dCVlqFSGTnX0vLsNc/nL6p/tJ76erhJHtfUrmhehjaH0Pf67eeW+9DSfoiXQxNJ9Izu54rhBsrLGpuPDrcFFnSXwOF3Z7QZJh+GWjUBVBLY7DaQH4Zb5f9bDpOyh2M637/Gv5073wMGfUq3li7ExWuShrJNKwJoNw06qwl9ppRtQDKVwy8E5ha7DQI2shY+k4VUrTHPbuYQHEgWmf1w7DRS8lXcpUGtZtIpcLpQPuudyGB8VLPmIDE9JG48HtlqCW6kUxqaxowbcarGD/rbYyeuQZlM95D+cy38cnn+wjAvPhwWw3++dRc3PjHyVj0ygYIE8hhYFA+AVVjYyWee+F93Hnvc/jp76fh/x5diPIZy1BdS+Pfu93gkwDRhJvwz0HAJifGW2u2YEz5Ytx/32T89pbJ+M0tc/DoEy/inff2adKdOtNAMMAGSOfYFK83OANb5fKxjitx69/m4ubfTzWHt330yS4sW+lCUnp/gukSJGVopcH7rCPTmhsitCUmBmrS8WhOAwGXH/zvHCRnj0VC10FIzRiH626exvrWGZX2+SoYWB7zGD3+Q/zpb1NQx+c33TEbSXIaZI9AUl5ZcKXBXs34syyCoz17D2Da3JcwburbGDv3VZQ9uwKj5y3FKg46bv9u1qXBsPvGO+dSjjQUmnMadBmO5PTp6HbmBPg8jXx3AJs2b8e0ma9j8sx3MXHaakyb9hamTHkZy5Z9YJx5arURFnOMlZp3GmxpchrISShg6zLtePGNPUjO7c12FPFzDNp3Lsa/7nk1CKgDHKSfW4bJM97B2OlrMI58mMR679x1AMToRq/lZNGtENp+8+nmWhSVvIF//2sufvPr8fjVbyfgH/fPwfylHxtHltNbDR/1x+3Zj9Xvf46J8+ZjwvSVmDjnTZTPfhvjGXYccOPjzyrxwKOLcf3vpuNPd8/EpOdWYnetMwhivVqOX2F0UZhbV1428L891QEUD38Td/55Mn59axl69XsRm/c4qeeVBM9Vhp2OOg/mL3oH42a8jfJ5SzB+5gpMmb0K++pdqCX/PtpWhZ7DFuNnfxiH0dNXmdU3biqGDtcMrjZgI/i/CRZZv80zjslGV/mD/2/c0oBT8wawn49BUhaBek5fLFi2w0jWE9hHPa2mpJUvH2gAlvqwLK0qMw4UPislP7dt4mvWxefRRh+O42z/pp21GDflDdzz8GL89tZx+PXvSjG4+HmsYxvk9HCYwYHBq3NXtOpBToPP0Yp6n5I+CsnsA5Pnf8o4LqMXn64/gPLpyzBx7gqMNbJYiclz3sKuA07jPAloxZKnlnnXYFtNJQaUzMetf5yB62+bikeLX8DSDZXGeeBhMI6DJofjlxosL0YIiU+GV1HoRHcaxBLCGW8W2Y3fUGAgYz40H8WRAWs3Dq0QSva87UHGoNoZmkckYGLniYJ+S86Kr2B/H5qHvQ6KFytZebYkzZEjJ9aX/wV3ln98WI+ijsQzi/S8uTh2YKMgmUYiu5zCGen2fELJXpdoacPJyw4+w/UF651Cc/VS/law52sP4UCwQJs9jtUH1C4F6bO9P4TWUb8tMBUpvb0+oe2w80/fY6WDSWNRLH3Peq+22/u0nRdq1+EmOz+s8gVIFex81vNwDprQ9C2lWNLay4jEv0gUSd80dtv1RO07nCSnrp1/Cla5dpkqTrh+YtcZhVA9tr9TOyQv6Y3KCC1Xz6ORPX6kv4+Hk1quJYeRIjoNZIUpGKCvA95qaZQRTPHn2k/3IzGXgDW9zBy+lpI2FW06TULqafk4//JhGDrmLRxoJFTQDBGRiV/LWLXRtSlPgSaDV05wOningVYaFBGklZhZ7NSMAgwdtcLwVPKRyg4Z9zxaZ/VBEoFcUvoAAta+mDJrm1n9IVDQSGv/+SWb0LnbE8FD7DoPQrucJ1E6ZS1WrN6H3POGMv10tOo4Eede2tfk6fVrlYIb+w94CJbmoEN6Xzwx5C2s2FiNq28sw2kZHCSvmIoNu4IzlL5ABUGLH5v2Ar/604vIO7cfHnnqFSxeuA4TJ63G6Szj1KzB6JTbi+BqPRqIDn3+4E0GAmleIpntuxtx1bWj2N6BaJNWiDv+tgK/+e0cdD/rCdx6+8us+xAC1hKzkmJA4RrylA2U44E1VtnNknSdIZrTQEuhp89bj+Q0ndkxCAmZJTiVfP3g812UB8FVoJ68aTC3Kvzw6mIse73aXLP4i99PQwpBdEJWGfvLeMpgJNbv1bJ1lelCg8uNeUs+RNZZPdE6bQSSOhchJWMoBo1aQ6AnROQ1s9g3/UWrRQqadxrkTuDnaJx+dn/iKK0aaUC9oxGzF69EWpcncUrnBwj4CrDwhbXYsLmawFjoUXO44pe+x0bNOw22NzkGyUsDW3V4ohdbib9PPrM3knILCGzLkNp5NLJOz8e6TS542dZP12/Dz28ajrYZfTiejMKp1MmFz39k0KBPYJKMq2kAHu/3AjJ7/MN8Ln5hI3r1egOZ2QVod9p4nJQzBnc9sRA1bL/0XFc77tndgL5D5+BU5ts6vSf1fDDaUp9KxuzAmWc8g7PPH4O2nUrQJrMM7fIKceH3irBpW13wxhcFNtXNMbDS58PYGW/g3IuGousZrNsrn2Dhsi1IO+MJdL+kF954bytcjaws02g7wuvvrEePKweibTbLY/87Je8urNsH9CtdhXZZT6EdQbVWyHTodjc272w0wN3jazT6ZtbnS0+kwgoiozfWVwL0QFDDpSMDh72F1pmj2N+nICljNE47+xls3qeVAHLask/52B8pD8lFY4gSSnd0RohxHpBZfvFLV2BqmwXj1vlqMW/pxzj93BK07zAIl/9gIp5/431MmPkZ0vOGUG/7YtT0t9Fg6spA2Uil5DSY+NznSKYupGSUoFXWMExa8Anr7DHAfldVA8ZOXY1OOU/h5PSB+M0f5+PlFZvNoZ9eNkb9qdHlwPOv7cVZ3xqE0y94FEve3IJZL2xGhzOGmb5+/9MLzaoUn1ktwzqzxmqbIeM0/CrFnQbhKdQ4ihRkpIUzzOxkN9JkpIaSjD17nvYgo80OGkPJnncoqAkN0eQmg07vw6ULDaErEWIBLuHIkkNL0hxrZPElnNxFdtASKY5kY8WJFk9k1+1QMCCy5xNK9rpESxtOXgJQ9j4TOmtrPVcIl3dL+lu49BYJfEbrA1ZQeeFI7bDzMFJQ+tCZ5VhkGY4OJo2d7LwLR821RzwNbcvholCnaGiQrCKBSTs/DwZ428uJRPYyQnU2FgoH4O1B75r7+3AwJD1vrtxIK2Xs47VCqOxj7T/N6avyteIrz6+DIkv6a6CwTgORZaBqdtky/Pm1mvZnyaiXCWD4hze3zAAFzYIm0mhPzqFBR1DTmsDlT/e8bmaDtITYSyvV7SKQ/NJYNTjghKcWOw3INz8NfXOmQeZwyoAglrxOSZ+A/JK3CRABYhKs3BBARo9hSDllCVpLTun/wP/dO5Wgaw+z2EoRyAHkRC2FcOnPRpobLxKyC9EqtycKp63B/1xbjFPznkbCaWORmj4LOec8ITxgliR7Cf4e7vUu3w3HmRfMItD3whFwYO78L3Byx2FIPa0ctz662oBWXatZ0+jE/U+9jVZpxbjurwuxnzqkGWgHEcojA1YR5BawjmOR02M4qhqcBB1OMwMekL6xPfc9thzJBENykFz355k4wDrrEM5l724iaPkbgckwM4ufkG6daSAFO7xOA+2d3lvlRMbpOkNCh7sNQXLn8QSiywl2Ca/cWtpeg/Wb6nD+2X3Q6NZObx9uun0iWmUWISGTcsqdRKA6HOv37jagTc4X8aGC7bny5wuQkDGW8cYjKXMMBoz8yCylFwrSDP1Nd/B9JstudnvCaLTrpisoHzMgUG3RLHIFu+/5lxfi8h8Pw+5qvzk8UdJx69yEpu0DFh9ioeacBmvX7GT9BBFZP/V0IxM/DjgDyP2WtpOwLZkjkJJXhJNyn8GzL2w17fWwLkPK3kBSpzFISJuN1MyhmPfqWsqxnkGz3lWY/OzHaJ87ALmXDMQeVluz+5WOGvz7iUXsE6OR0Pklgv8BWPH+HgLKYH39jPf5NuDUrDIkpZWSx1OojxOo1//A869/YmbcbvlnOVrlDGGYwDGsHH/916vG6SD2+P2V/PCiZNLHaNtxKE5KG4K7Hn0JNQEvBMWv//NctMnpje//YprZjuXX+nsCdbla/3DfcrTqNBWt0qfg5C4FeHktcHK3u3ByXn8+H47E9FE4KecebNxOoCwQ3KS7zTkNvATKbm0j4Hdtgbjlj9ON8ywhi3rEdna9tA+qJF6lFR8IrnUeieJrtj/ouGIwmqAyrTMuGuB17aH+12AXf55+Kflyajn79lSMm/0Wa7YPlUxy61/fQuu0kTi126N497NKuATeqdM+F/uwcRp8xr5ZiOR0yjm3GJMXroeXDK1nneoCO812iDN69MTPbphstke5zAij2zRqWSM3dvPvzJnfnoNWHcrw6NNvshk+/v3x4dpfLkbHvHFon/cglqzYBaOGOgQh2COa2BN3GojsRnQksrYfhAa1XcaSgHwkoyyULCCiEGnpv1WejCsZZJrdURkyqK30ehZKdgPQMuKUTvH1THlFKzeUlJ/KsRuOVtnKNxy4sLevJQayVUd9Hq9k8TCSgS0dsngXDQxbMpUcwsnAInu8cGBMz/U+XB+263y4Mqy0sbTFHkd5WXyIBP6kN1Zae1CZyksh1v4msvhgASuVq98ChiorElC1yKqP0im91Y+ipbfzL5osQ8niTSS+NkfikZVHpH6uOiue1a/1qXrq+ZEm1UllW7xUUNlqbzQ5SG/Eb6U9mHpKx1WO0kcivW+Od82RVU+Lt5auSQeb07NDIfUHe7kK+q5n0cYIkcWbSDonXlhxQvtAc3KzSO236hVuvDkSdBQ6DWSJ0byUkWUMfu21pclJY1F7d/9wWwnBSzFB5iCChIE0woehVfZgtMrqjzZdaLh3KqIx+QSGjHwV9czGzTy0h9dYqk3ZNtnzJzQdnNPAh6Xv7As6DQxAGIPUjCn4/V/nYcyEZfhXz6XodvFAtM7sjdzzF+P2h1Zh7psV2FPLtB4tp69kHtrfTSjG/K64rpyAtQjJXQgOsvrhmttn4+Zb+yF/zAfIvagQrTsNxI2/H2OW2+sgtE1bHMg4sz+Su47GLX99FQ6iWm1CWLfeg/adHyF4GoF2FxZh/16tMHGilug7t0cf1rcMp539JMbM/RAuggftPS+a/ClSdE1nZjnapg3D6o92NemJ/m/E3v1uArsnkUjQnUgAMmrOOtRqRp/ASnr1TP4KJKUPJAAdjiQCpsHDtT1BOiu0RMBsIaxopCiGrypTuv7fToOAVwDNiZtuISDNHYXEbtT5tHG48qfl5iwCAV5dQThi1Ju4964lZoWN5mpvun3CV5wGbbKK8MXe3WYVhVbeeNnGGqb90fUvUY4C3cw7uwQDSt9nnoxEtKtZ5BvveI55jGzeaUBQmphehNPPG0gAqnMgHGZrxfPLN6HHtx/Hu5+4zHLyOrcAvZ8gTAOiQhNAVYiBmnca7DL1M04D0w5GJH9qCPrOvLyYcUexPSVIzBmE1OxHUD79AwJZbVuqQ9HEFWwDdTKL4D17AOa+uoaA0k2eUu5s73W3jkRK5+HUswJMnv85+V6LOu9+jJ7zHsegQUjo+CzfDUXZpBXEyWQe6slvP7bu86NDXgmS5LBIK0MrAt5/PjoPtR5KgXx6b1M9UnN78v14vpdDoSd2U/90qIT2/u+u86D7t0vRLr0M7bMGYfrzWt7rQzWB+xOFb5P/+QSyg7HqXTlH1d5aSteNPz+y3ID4VumTcVJuKa65dQLu6/MchlP3z79yONrn9sf533ka+6o8cJKnfuqun/UJjr+sPtmsT301qm2+i1dyAPCTvzUuf+8n2gajQzfJ26xSnPO9QWabhkmvwZYRdZKMfqp6Sqe8zIDMvIKOCrbVw74TqIfT24Ch41YjNWs4UtKm4NSMEqz46FPyezd0/kPfEWuRTF1rnTkAf/z3PHOmgsfJ/iudJE8mPvdp0GmQNoLjSgF/rzdno+iMynp/PSZOX4vvXtkfn21wsQ85WbO9LLeKdXWxf3swoOxNpGbms/wSLHqV+uTT4YsNeKL3qzglZzDHjV74479mGke2rnlUOyz+BNvzVToRnQYyeqy2HOsUzmlwrJBVbxmixytZbTzW+8yhkECMxYevA6QeS3Q4+q94auUhXscpNrLz/ngeg74psjuzWuLwOxQ66pwGMi9lYAYBmHkAr1d7fAnlaFs+88ws/OuRRbjj7nG47g8jcea3i2k89kTr3L406Al8MsoNGGyX9SCGlL2PBhqU2pseXLsazE8fJzqJvy3dnqD76o3TwGxP0EqPUqRkjMd3flyMP/w5H1ddMwp5PQbj5Jy+OKnLeFz79wV4csxL+Hh7I1wOGtMEq8pDe48llyuvnUJ5TURC+nQCmxJknD8E+6vqCQwc+GRbPeYs2ozdB/wGojQQDNz36AtIpXw1U9x31FK4aOC7fU7sqwDyzr0PqXn9CG7HYMzElfDw3Y7d1eiQ9jiSOk5B66590Ln771BTR7OeVRk9fQOSsgcSaJajDYH14iWfU0UIbKgqXlSjsPwNpOQ8QSA3Bak5Q/DZFjdBgs45cMBFAPrim/VIyR2CxFwt8x7RtD2BfGK5Ag7/DR3CUJN+R3caEGIHqrFk6W60Tdc2gcGG722zCrH03Z1mW0I1mfk/1zyBNe/XE1hpJ78fN9022TjXtBokIW+CAbPGaaCKKU/sN8DzJze+xDx1YKKAdBEGjFrL9mv+u4JtdePGP05jHlpZEt1pkNh1EFIyR6LrucVGVnWU9eur9uHKH/fD2nX7CK4F5Bkofx1YqWv3jAfDtJv/ixcxUPNOgz2sn07YaHIasLP7BfoJ/y/4QTkSO5chKbMUSbmsb7cHUVS+nO+1LN2B0mkr2VYCX7U1uz/mvfKecZxIXzSBf+aFzyAlfTySO5fjFzc+R3XWIYsOTF74IRLznmIdpqJN7lD0GvAq6yBG72L5Duyu8qFj12HG+ZSUxz6T1R+rPmmk7HSdo9M4sr7zM131OApJWVPRmnkVTVjOiuumEDeGT1iD1LQJSOhQxvx744MdTMv2aztQyYzP0Sp3DJLzxuHex183fAx4GwiGG/D3R19BgpxMrHPrziPxmz9PQm3AB11Yubvah5nPrscXm70sX44ABm0Bkv6aTIIfLEJfg48YTDy2zkPZu/lSwPnMC59m2zUmjKAsSnHh1YPN+gGKOeikMk6IYAbSGeVhfBsmY8lS4z1l4OV79q066nPexdTdjHFIYn8/NftpVHp2MmolGqk3015axzazr3fiO+r1h+vqqVd6L6eJF5Oe/cScu5LcaQTadh2N8rkb4HTqthGC2Rd34SfX5mPzVg+fqdfVsvwDZmyiimDLXiDn4nuNI1BXjX6+m1kGdjP/SpRMXI2Ejn3QKqucY8mjHJvYEi0lUUPEKAXyJpROdKfBwc4uHS10rDoNNFNl1TvaTOCxTlYbNQN4IpJ9lUEcmP03afyx+KOZ2YMla0WFPuMUG0kfLZ41NzMfp5aRfXz/Ose+o85p4KdBKVBiZqNkhPHTug7Mo5kgWn461V3gzUNQU0M7cdVHDvzt4UU4JbcIrbNGIimtDKnZY5Gc9je8+eE+GucCKDSGmwy76ObbiUEH5zQIYOk7FcYpowPldKJ/ck4xBpSuMIcNNnq9+HyLD7/90zS0Ti83hndytydxWrcnMHL0R5QfoQRRuWY0GwjUrryu1MgpMW08WmUW45a/L4WvkXDLV2NmcbVVQLJ2ex2o9blwzneLCJ4mEwCPxKDRb2O/k/JnhP20+zvkPM4yhxDAjsL/3buYoEkgvxaPPfk62uUUoOuVvVC+cDVcRDraevDMgPVoRSCX0IUgjuBiwfOfUtEIAlieE9W47vaFSNbZGQQu6ecVoYq4Aqy/39NggN4rKxvQKkc3RJAPGQUYWPSewQ5m/T+ZxWyaJ8VniOY08LEj6NA5l8eLy66aQp7qQMRhBILF+N0/FgjnYOmyGlzzv8+YFRRyaBDK4uY/zDAgX86AhC7l5NkgbJDTQGiOefmxjeDRiZ9c/xzjaJa4zKw0GDTyfYI6dqpApXEa3KCDEGPYnpCopeAZI5FzXh9UEiMueXs/cs96HGMnf0pZ+FkvJ/t0EDwG1Ln51QR+laNQQDQWat5psJc5EdRq9lqoVaDV32Bm9M+9chz1R9fwjWEa8iX3AYye/Rbf69yTAEomvctnA6BVNK0zBmPhkg+CGNBTD6+7HmUT16JTj6fR4dyHMOu5jQZkNlAvBhd/QF1iOgL3pIy+6N13VdO5EPupvI3YV+HDabrFIkerHEbi5LyBeP/zRqqKA37m62304U//WIR2Z47h+/Fsy1D89h8vs/parRHADbfPZL6laMOQSrC8nsBWN8Q0NgLl03ZRB4MrQb534zjKjMVyjNSNH/966GW2ZyjHw7E4lSB68uy1BPo++NhnPG43fMzfS7DsJU89lA8bahwoRhUlIgYja35aQUcUugiUpd86QFRnIXT/9kDWebiRgc40OO/yvsahYfoD3+taRyNr0zfkAgxubZDeK3sFXduobQ/Sqdde34tUOSZzRiMxcwSyuhZQZdlYp7YQBbBoxTa26zHKcCxSM4aieMzrHHt0Kwt5zvHFOA2yC/iO6amXE+btQG2tG0/3noPOZw7BzMWbGJ980A0V2l6gfs98fezfg4asR5v0J9kW9jPq026qUW1tHWoaGjF40md8No79fT7a5jyFZW9tIh8pCLWBDTJ/r8yPr9KJ6DTQrIfVFi29FNhuyXLio4mONaeBeK962pcqH8+zz/bZNn0/lhw7h4OsVQZxYPZVspZ/W2Bf4VD4o7ysfI51R+jXQfZx81CcNXEKT/atCV/n+H7UOQ1kowsIETcFjUpaYuaedL+u36KBS8MwIPApgEVUKRyi/bUNRHtvfeTA+VfphHkBifFonfMQhpW/QcNbFp0MSn1GN95OFDoYp4GXAnn1nQMEiVqOXIakrmMIXkcQwK9AnZwBlI+HsqimoX3hVaVIziEISi9HcuYEtM/Ox9wlGwkZKLNAPWXsxlU3lhLwDENytxFolTYcg4rfFhYlWBL7sWJqAABAbElEQVR4bjQi87pcLNqPvY0BAt+BLHus2YqSfeEzOOeqf+LbV9+FbxOknHdRPj+LccEVj+Mvdz9HmQcPYdPS5f0eD3YQaO6k2ixYUoWfXfsUAfg41k9AZwha5xZi3otrCZyoeVQ8t9eNM783neBR5zZMQeY5Q1HdwLp4qsg4XQtZj6Ur9yM1rxdBDYFgWikGjHjXAB9zvSf/dxOQi8eaqTazs/JGSPeMDkq7SQZYkh+soxwyWlotYN1gnAaPkNcCU2w9f2smtrR8FZLTCwneS5CYV4r23Qbi5Xe8+N2fp2Lmsx/BpdspWI6b4eY/EGhmyhlQgpSccWhH8LV+dxXbIDkJVlehEfX4+Q0LzBLupPQpzLcc/cu0j1/L1BvYrzy4/s75SMygrHMKkJw2Gk8Ne40tq+d7jwGbC9/YQBBOAJ49BqkEjZ2798W8ZRXodE5fAr/B6HFFIbYdIFDUAXsCpQJnPqb3EbAanVLb9Fu3V5AHGgBMMC8MBFPQv/olPmhGXHz6Yt8BAjzqohwAxmkwDKve32lgqWbooTJZlod6UOHyoMvFY5CSQf3JnIyUtAkElk/ipbe2MVe38S+Ujl+DlLwnjKOoTXo+Frz8YbAauu7V3UCw7EYl89vhZWjwY2TJKlx91ZP40Q1F5I+A8xgkZ4/CY32Xm1l4cxMBFWBvlQ9pXSYSwAqIjmPZffHR5xrDdMtCJQGxH/c+9gYSTs1HUhfKIWsCLrxmFutUYco851LlW4jE3GF8NxA9ruyNy37wd1z23TtxxdWPovt3B+K8qwtwza/6od7VwHSUHfXmnodeJbgeYWTXJn0g3v9CuktWUgU1uGoLiXRFctbFgj43QbkOgtEYS95pm44OM5Q+W0FScDc5GnSWgMaEn9w4Dq1ydb7MMOpKEbIueBS7yR+N49pS5g5UsFytZJAzOKjjchzIeWhWNrAIbYlxc0yX06J83GfUxdGsewlaZRfjO5e8wnG+Dj4n9Yf5LVm+A22yelFOOgNiGO55fD4aXA7mK933YiL7QutM/g1IKyPfSgn2N+O6341A+6y70ConH+f/qBA76z2sQy1VkszQNieWLSfaZVfPZ9oRSGb/Ss7oi4su74Urrvw3LmHofnUfnPHjUpx72Vh866qeWPA8O6jpvGqDeNbEpxA6EZ0GIvs+UIVjFcwda04D1dHOd8nhSO77/abJPpNsha9rqe43TfbZxvi2hK+SNctthUPdVhBf0dEyspx5cV4dGbKfg/B1ju9HodNAxqZmCo1da4wyGd8yYmWc6R50n5eghraeX9PQBBsBLeP1O82s10df1CHzPBrKGcVol/cQehe+bJalGu+CjDtZddHttxOCWuw0IM90B/qr7+4MrjTQwW+ZY5FKIJk/agVhF615ggIdJijw13voawT4/RhnEsHEBMqjEL/820w0ahO+lscTTF153VTofv+EMwiWCLzHjF9pAIS0IIhsVKzuXwc27AdaZ/dDUufZBH0j8MCQRaiiPLW6waV98kyiu/YdjKw73Q1Y5zs3vxwgQOhV+C7Ovbw/OuY+hZmL96BsUgVB8HCCMO2bLsacF9exfdQn5uMlwMy+TPuztQe+DNkXDcQBYjy/mYEnKKMOvvH2XoLkvgQu403oP/xt1oEwSZVlcPoJ0FziBevFfA1olv7phDvpsdRQv1Wm0rDcAMGbwG4dv5/33fvwmnEaUNcZxUOwv6emHl0vGkLgO5llFhPYlCDngnHofmkvVMnZoux8LpPHTX/QlYvanlCCtlmlODltLL7YJaCuPqRtAgGCJBeu/cXzBEmDkNxpNvkwGf1Hr2F9fYzjMWDyhj/OQqv0kUjOGYzUTpPQc+gyQivyQDxmGxa9uc7oQGLXUQTFheiQV4Cu5w5Falf+wciljmQV4U/3PAunORnfg4Y6MZJglMBb++gbPOSRn+DNXcvfwe0rEmZAfZv1kCYoBMcBBr43zkMy7Yt9FWidHjynQMviW2UNxcoPNxig76cu6BBJLVkXGN14AGib0xuJXcSTIoLOAvS4rA/21sgVUcs6+DBq4jvUsSeos8MJsgvw7MufyM3B8rTqpRouDiT17gZMmLse3b9dhMuv6ou1nzZixtLPyZ++ZuY7OX0sHh6wlP2BVZYHhLqyu8aJDtnllMcYll3KMvrik3V6X8lyq8z49MDTb1GuhUjSEv/08Tjvfyaz7pXUIzfyTp+FZOp8AvU/Obs3ln/kRg11x0nA66QQGilL6byuj/SQNy7fPsowgHseXGQcGQm5A9Euowzrd9eLjeQLI7Ne+k/ONadXeirHjdtcLRlgG2kise9VmpU+4cjLviU9Uni4z8vsk7pFJNjGlOyH8O4XDag1OuJhX6wKOg1YJx226DfOAekDA3VMMtUZEJKTVnSUDv+IvCjn2EC9yy7D9y7TNSKVrC37FPN7dfl2tM/oQz5NM1tN/nwXgZyuXKR+OVjGxLmfol36cI4/YxiK0eHC3jjl9KdxslYVdSlCckYB7u75pnHImL0n5ipY9jvyoOOF48x2o4S0ArTL7IMPP2NfIb8c5FEN9bGKatVA3dKBoy63j/1SeqqOpw6sTm0GsK/Qieo0kCEjACvjUYbjsTo7dyyuNBC/rVn349lhYJG1usJq94lE0s8TxUnSEpITRfogZ8Hhmum2rzaIU3SSk0W6GafDT+rv39TfpKNwe4KuxtIslwCCeUCDS78aCIZqGQgCaOAJTAX4GzhAHKZDrPz81OyXAw8+vRopNBZPyrsP42a+TTAig42ATgBNX//brjvhqMVOAwKAgM+LZe9uQwoBUkKOtihoBrMYRSNX0OhWHBnOjQSkPkx+dhVa5+ogQQLHTjowcQy+88PhBF8UgNtBUOfBD6+bxTxooHcjyMwchvJpS5tko5lPGuIkzZz7Wdd9xNxtsh5BaufnkNx5An75p1I0mpUmLFOzoZSxvguQ6GR+vwLr8cUmF6768VicljEM7Trej9kLdxMcAGOm7UCb7GEEHkVo3XkUnn1+R7ANagLr1v3yaQQcw5GSW4TOPR7GXqqagIW5UoC8eOPNGta5gABTzoXhGDDiDTMLqmqzCnATTATcApxamq+ZTOkedZB1UnqtgBCIoiDMb8Nfgg/LaXDuZY9h6Sqxg0CfQM5PoO0MOHDP00vNzL45VC+nBJ1O74WnB72MehfjyGlB/gt83fiHeWaFgG6mSO0yECdnDsGmXbXBmXxdIchPFyt77fXkJ+WkJfupGSORX7qaVWSdKCdhy5vunEEZFiEpbwB5Pxa9hyxjvfmCoEn31L/w5sdozbx1EF7r7AJkn9EH737kwvduKGC5TJM7Gu3SnsbsZ7fAqWlnttuwgv3V5a+Ajox08rvT4yT4VZ+mgUuQrv38Wjou1qjKpt+aHz7Kx2t+btpbybx1haIOoyymPAbjvY/e4bjBAnSsvzxHFIq2bcx/bT3a6dyBjIFI7paPjmc8iqnzt5r9/DoETzPgJZPfJWiXQ6wEbdNGYMFL64xMzJ52zy4cOBDA7/+4GCd1GozuZ4/A1u0NZmyZ+txHrMcIAvtigtVBeLLPa2wV+cPWge3ZXVuPDjk6r0ArIqhvOU/jk8/EY4Jzn8M4vB56+hXy/2mC5L5sx0j84OaFbCdzYLSzL9aqkaEE5oP4ri8mz/6C9dWNA17KSHzUqhDyigLzONhfqPtupn3gkcVISJ9EEDwUpxBAb94rnpI3vnrD34CcP9JH9iNfoAEOAmixzfQfvvN668ztD6FkOQtEKnPVp/Vok5uPVmmsZ+fJSM3qj9JJa6UibAPLbDrPxKz8IPDXp199Q3mzPI9Lq1a0taae+e7HtGnvGodeQp7OnxiDKy5/l8N7I+Vaw3p6sGjpOrTOeyTogOk6Ag88tRg+V1Cn5fyZQv60y8xnWm1X6o9HBq/B6MmbcPIpD1HP+1BfR+KkjCIsWb6X+bI+bLTO5fRiK8744WTKv4A6X8IyBmPGonWMI0cXecVxgawxKxLkbDGLFNgso5eGHdLU/wZoJ6rT4HghgW45PARC4su/4xSnOMUpTicqHXVOA4FFzYEaj4EMMYEMGpRyEmjJdyOtNpqz5mAztwCqV8vYaSw3EjAK0PHN1Dk70C5rIPLOexCb9wQNUnORt0CbbLegvXtCU8udBmQaLevX3t1KkNmPBn2+Ca0JxotHvmEMZ82sagbRxbilk1cRRD1jZl9bZU1EUseR+NVtk4MyClQzXiO+/9NnaaBPofE/FilpYwnk3wzK26wuEMjg/wI1JJ3Gft53BxM4FRAIlCKj62Ds2s73mimUxc8gPfGw/Ppa7dWuRp3Lhe/+YDjadpqEtgQJf7x3PmoJAOpRi5HT1hHQ9iGQG4ZUAs95L2ynjrEssz+iDtfe8iZadR6FlMwJOIkgTwch+gi4dI+8gOiyFdVsVwFBIMFN7iD0L3mlaQUMtbTehVpipbGj1+Hpvovw8ooD1FvNaAtECrC5CUQcBKPyMLBx0kd+14oaLSuv5eNzLumDV98Wvjdohu91VWUN1m5w4GSC3sQMnQxfQpB+NzbtrGE8ARPGZf6ENLjhDwthbgLQrQinD0W7nIHGaWB8MQQ/AliEq/jZDfORmDcAidmlZlZ22Mh3WB4rJCDFODfeOYfyIdjNKyaQG4veg5eTB+STpscp5+ff+Bwp2YOQmDuOZZQg54zHocUEH3yxH53Puc9ce9c6bSK6nDccG/ZoOTz5IDZ7yA3KaOai9Xik9wqUz92OKiJkh4f8QRUjaCuIlpDrjBO1rYlPqhTRmoaHTXuqCe610mAEQd5IyqoIH67V2RTUCaNnDlbRYc5U+H8PLURKBoEt5dmqcyH+7/4F5ppB4UF4tbTdi+Kp75JfWh0xjnUegQVLPjF10EGKXo8Df/v7K9T34aadD/d6C7XOKoLHesycV4n2p80yzpx21Pkn+2ilgeocdOLspjJ0yB1pnBs6dLJ1Tk988infk88KAup//OdC5j0ArVTHtH745xNvmbY6Wf71tz2HpLz+SEpj/jnj8atb5pJ/WhWggxjlkGqAy1uP+moX+wP5S0Cugxvvfmgx+aKtJf1wcnYJNu6rYZ3EG+kUgxCw6TtyxHrx+rsNlMWrGDlxNTZtD4Jit1OHeXyVNHbYHQdi4a3/byLaZBYiRasN0gbjJ78aZ642NLcxaAmEVZb0mbz26WwQH+E32yEH2nsf7mJbJNcafPjxXrTLHsx+RX5lDkePi+ahTvmo6ow7ZfEaJHV9KLiSpXNfTJv/AdweHWYY3N4wZdYOtGZdEsjPtt2GYdysbWhk8eUjP6UchqFNRjHapE/AuVcWYld1DXWEMlYjfAfwwJAPkJjTh2nHoFXeOPz2H/PYd6mBHK9MO9Qc9psahxMNjT7KgenUPw0r9EWOka9S3GkQpzjFKU5xilOcjnU66pwGtNwYaB3KyJIhZmwtzRbqBm1gZ4UXo2avwOsf1Jol2bryyxhuJi7T0sieMW8n2nZ+Ek8PWm2ueXNrSbiWlpvVBk1xT3BqsdNA0+gErkvf3UxjWoe+DUNC13wCtSEoKn3d8NXLPCU97cn/fw8uIJjsR+O7BEnZBHRZQ9B3GFGwDOtAlQFi3//pEgLb55CQNhOtOs7EyClrjGy0QUXH+SlPn6ZhSbq+73d/fg7JXXoSCA1C+06lGD1ymyLwrVacVBux7q/z4eknSvm9AW++9z7apN3PvBcTvJbi8WFvMmYFww6MmvUpweaTBCXDkJpZjLkv7CAUUF4Eq9iN+3utRtvMcgLl2QRDg7DkrZ2sQx1BkN47seydAwQXWm2hGdEB6D/yJQKaOr6jUpIG5T+HU07th855jyK7+wNY8xmBqYFX+xgaWL8qykAAij+Njjv4QfBG/tSyyedc9jReXUVuCZiJqYE6vmHdGffiH01BGwKmpM4FeOChZXAJ3HkIfMxsrss4A274/fNmmXtC1iQkdCMIzi7Chp0ENGqil5CWZQje/PQG3Z5A8JWtwyjLMHTkahWqTmNw9w13PM88JhCgTSIYnIxeg1aYbmYK5f+LX99qtngkZEwjGC9D9wsGGRDcwLR/vv9ZtMkai9ad5rGuI/DUsJcNd4z/ifV4Y+UGnJrzT5yaV4LWuQMwYfZq08+1NJ6jg9E5wmq2m/+KRxKwWQXBryxjw54GtOnMumeOZfkTKONx+GAl5aMsVIjhs8usEjnjW/3QKp086zQdp+aW48P1fCsGaFDx6IwEN4qmrfqSFykZBZj/ygd8yYYE/DhAsaXnDTEOioT0fAwZs5F6tB0N/v1Y8HI92p72bPCWgqy+eKz/q6YKwe0nTuyubSBYLQ2uNMjRSoNnzPYEbXPxUxA6NPC6W2ZQz4qRnFGGNtn9MWLae6yXg6U78cjA15iuJ5JzpiC5w2Rk5uZj+1aP4aFXS/IJxBucATxyfx/UVajMIP/venQ+6zsKibl90Y5lr99L/RVbVDnTbgadJeHZg8+31CHvnL44Kas/Tsq+F9/90aNYt5H9lG0MJW1NEGkM0Xc3Yy1fswsns44JnYrRKnsU9e0+PP/GLjS6Oe6yDCMPJTNJNZ7vZfFaaeLE+u17cOttT5tFEF4P9dznQtcLtSqDY0zWMOScMxoV5iBEVpnpxzy3kmPPo9AVlW04/ny6VcqxlQzVNghg0sxK8nEsx6ky6t1QTJ+vszwYhel/eesqtON41DpzGsengRg09nkzbmnVg6q5agNwUvdeSMqkzp82BukX98Xm/dr6oL7DTNicen7Mnr8Ey19/N/i3R/1BfDX/MKMQijsN4hSnOMUpTnGK07FOR5/TQLaVZYRppg41NKxrCER8qCfiuP7G4WhN4799Xn/84s5yfLB9H413L+oJmBqIVjQ7du+DM3D9r8djXzWBEY1MrVIwEElISfkbA+/EpuacBlp2/JVlyAIHmlleWU/QpGv45tGon0LAPQn5pW8bDFkd2IFqGtef765F1nkCOYVIzBuOVIKtrIv74aPNBATkv5ZTNxJQffdnMwj2ipDcvRgpWYNROGuJmW10EwQ5mE9wdTnrQGDkIVicMms1waVWOTBPfp59+TCs/lxOgEZU+vfgAEHHP+5bimVvvINGGvNjZqxEatf7oWsVk7LmI/PcMix9bzvWbNyNn9+ykIBKh8sNQavcpzFh4WeoYVl1RCVuNvnF9z9E+9PvI/CezrqNw4MDX0CV6qWyXA78u+d0ptep9WxD9jg8OmQ5HASIOll+f50XF15axLRTkNh1CJK6FOD2+14K3l1v9i7okxWUI8awV0iqgmEfQegBVLHdZ11+O2a9ut/UJTib6aPMGvge6FskZ8gQdLmwFLt3CmhJXtLvBvK3EvX+Rlx/Zxla5dyPVt1GkcezkNqtCJ/s1H3zTnaBjXCzT1Wy8KtvkhznEHiXU6aDMHjsCna/3SxrF8GoH9f+eSYSukxEQq6uxyzGUwWvwRXQEvOt8PjrMHfZFnNYXULOBKTkjkLO2U+i3qs1QW7yeR9O60EgSf7rBob0C/viFYLLOj/5RMj417teRGr6CCRrpUB2GS75/nBUCcjzXUDrviX/gA7N0yoSbRNoMEBTPNaVgx9sr0CrTDluBC5LWL9SvLu2mvX2UCfWUVJbjRtmcOmHaN2xECkZo3Fy10IMKXuL77SmqYHlVFEUu+HyHkDBlOVIzJFDjKAyrwCzXv6A4LvR5PfRxgrW9T7Kku9zh+PCny3E+9ucWPD6evzwNwOCqzrYjlZdBuOeIa8GVzFodQnltrPagZPTR5lZeJ290IZg9dmXN7BV21mDLdjrakTXSwrQqvNUpHZehPZdn8SHu2vk8zCOm+Vr9iG5y2NI0HWRWXPQKmM4br1rEvY0NKA+4KDeykn1EsaPWQEXhzo3qtgfGvDXntSBLtTxLk8iNacAH++voezUp92Gn/quFSrqZ4W6YlSHbGaPR1J2Edpk9MHdjyyhvkk3o5NW2DQ4GvBgz/nUy8kE23PZZ0b///bOBMyq6sr3SquA4sgMIqPGJGoSjUaT9zqkvzb50onGNibaSdrYeUmnO2bqOATei1MUERBEQcQBRBS0xVlJAKfWxkTUQDDggBMzNRc1153q/9b/VG2zPL3PuedW3SpqWD++Rd17z9777L322ueutc5wMfrT1+DJdVulN28Ex2UeI3jVRwNq5V8NqmXfa9dX4syvPoKLL34OvLuGybNMthGX/OZ5DDx6dnB1yFFjb8brO3il2DY0yLHgtwuekzUr+hpxB878x0eC74WULKtsSwWaciW488E9YvsLxG5vC27NWLTifflu2CF92I7nN+7EIcdchQNHtf7s5pjP/hZbq1KiC7EvWUf8vvja+WKTQ2VtD7tf9LcA5/9yCXY1NMp3jOhM7GbT5ir803euRW1NS9uVUEwGyoRHfLdY0sAwDMMwjJ5O90wa0PGiBME+z0pXo0l8siZ5e+zEX4lDPxUHDJkvgcAyDD3mXky//Wm8W/0OdjeVYvbcV3D22YuwfTcfgCZ1xCPmfe5tkVpr+/H+W58gX9KA25kw4N9Uij9fmJUAIoublrwsQQuDvPn4m/FzcMCIafjqd+fgg4p6bCnPYekjb+DTn5uPQcNuliDrdvSXgPKEyQvx4saKICDncwj4gPZKcdAnnnIL+h8zW5z3K8RJn4trF/w3miWybs6m0JiVsJP33vPa5ZYUsukm1Ms0nnneEzhw7J0SIM5A/9EzMfjYm/DVf1qJ7/x4FU48YxZ+OfU56WdtcPZ25TOVOHDE1RKo8Z77WyRYuw2HD5mHScfNwCVTN+CAo25DvxF3SoAzF186+y5cfvXtqJKKfKBmVXYHfjRFgobBd+DAwStw5LhZwe+0L3tkE/7h3KU4ZTIfsnanBHLL0G/4XTj97xdj/evbgp9L3F0LHDNpcZBM2G/CdRK03YGjT1wIiU1abY+n2zMMOESCDBk3ZHnCOwj6nn2hGkdJYHnWt9ZhV2UmCBwlwpUifDp8Gu/uymHMpKsx5dpnJGDjw+V2ycY9MlfpoGy16Okzn78D/YdJYDXsbuw3+EEMEF2tfGlLsCaac3uCuSyVNk/828U4cOhD2O+wWTho3I349ytWSW94P3tNcLb6tHM4xnk45DgJVofdgB9PeSr4rfxsrkzmKI07VmxufUjfCAk0j5mPw0ZfiVIZf510pFZs5rpb12P/EddIgLcYA4YtxRGjrsJTz78dBLpnX7AKBwwTOxp3PfqNvlHW843BFRl8QF0LE1aiC15uzqfcB8+qEDtokL/1mRyqZIwr//imzO9NEsTfIPbIpMAtmHHzS9gt8eU7FY14dcsO/HTKEzhy+DQcNWYmTvziTXj0+U1BiFeXqQgSEJlcZZB1YeLlqhkvBj/ZesBo0cnhD2DenW8EtlAn8/ROaTWGf+xy9GPCjFfOjL8Ohw67Hp//u6W49b7NGDB2Ov5m0o1iL3fi+NMfwsU/m4m9lY1ivy3YLn+Pkjb7DeNPPd6OASNm4JOnXoPlj23CHtHVdfPWY+DQhRg44kEcdPhyTJ35jATVMgjZOZMne8U8fiIB+cFjr5Z1wqf68/kIV+NjZ8zG+d9/BKdPvgXf+eclqONJfRlbc0stqmQ8Z393LfoNZuA8GwePXIYXN5cGyRYeWtN8hoEcWxubmwKbuXL2Khw0aq6MjVdSzMHA0Ytw7KeWiOYTIDvlQz/r0ilcP+9VHDZxWmATA0fdi8PHrsDVt72G9yr2YK/ssVrC7nLZ35o/vI9zv3snjj7uR7jkykeCMeZaamQ9VMjc16OsCjj97+7GwCHTMHDwdMyVuUjn3g3mffLXV6H/0Nsw4aSr8PqWsuDKFuY209mGwD5uvOMv2G+orPnhN4muZmH2Ha/LXutkvrehPPsmfn7la7Jml2K/0bOkjzfjggufRJ3sv1H2y4W2cdMODB0v3zHDHsSBwTNU7sTHT78X5/9oNb541v046YT/wB//sD248CDLWy74nAYwadeqizCWNDAMwzAMo6fTDW9PaIM+Vpvw3m8+fZtB4+9Wb8LEk1bgkGGzMGjEdAwaegMOO2o+hg+/HaedsRBzFjyLyoYMmsRZp3OcZYDD+2ldewEM0vo2+ZIGH15hIIFfs0SyTz32MqZOeRKfPGkmRo95AEPG3IUjx9yE0eOXYuSYaTj2+GsxbvxdmDTuLnz82EX42lm/x9Rpv8Oql7eiQtSfRZm0VRU8BK9kdyN+8rOlGDN+DoYcPRsjJ12PMUc/ihNPXIyZ198dPBivNsXnVUg/GeXm6tCSrRMbyKG0OoPv//h+DD76RgwYPkcC3jkYNGQ+JkxYhuuu/S80NPGSaZlhqdMoUecvpjyKw8dMxyFjrsLQYy/D93/yELZuq0RtQy3OveAJCfxux2FDFuHss57Cth0VYjM8u78VOQnWKiRi+pefr8QREnAeOmwaDh/8a3zyUzNx/Y0vYeUzDTh48GU4bMKvcfKXb8LFP30Myxf9Dg316SAoveGWDRg08l4MGif7lr/jj18kAQ+DEj7lmH83yL52itAWpcOi7tf/9B6u+s0afPwTt2CU6HHkuCX431/7Ja6feRdKPpDgNtUsa2FXcDb0kl8/gDfks6aG1isxeBvHjndrcOtNT+Hb31qG0aOXYLjo9KhR92HYMXfIPN2A077wfzHtyuexatVGfLC1Dv/2s+U4ZtxsjBmzCKOPm4PhE+dj0qcWYPoNT6F8Rwq/+MkyjDz2OoyYcDsGj7wZR8v2CcfdgOnXP4vGvcCqlW/i1M/PlTKLMHjCjRglf4eNnovv/fODeP+dctRLLPV/fvAgRk6YjaHH3I3ho+7Bx469DccfeyUWLHgdq57fJXVvxKBRMzF8/GL5eyfW/HGHaGSvjKkhsBX+ioNLGvBB9eVlGSyctwrX/OZpnPqFSzFszH04auLNEuTdjFFj52GcvJ84XvZz3BJMmngbJk9+AL+69HE8ufp11MgxgQ/pTIuB1PGKFtF8SmwqLRM2b/bTOPnkWdKP32LExCsw9ph7cNqpM8Smfo+33tuD+mwL5t2+CWMn3IaBEoiOO3k2Zt30BGqbqyVQLcFl1z6Jw8ZdI7Z0N0459R688qctSEnQn0mlsbO6DsNkbfC5C/uPuAX9R16Fex+sxBln3IOxY68Tu7oGBw+9BqM+cTX+37R10jeZ04zoIFeFplSZmEY99ja04L4VL+FzX5qNg4dfjQOHz8CAo27CMJmXn166EjtKqKtMoLeGhkpMn7FG1uMDsjZvw7CxN2PI0Mfx9W/ejMdWbAQvSkmL8LmUfE5GJrsdb24tw0mffQCHjFqAEccvlbYXYMxxM2QrE1Lx5Hj5kByj0y17RRf12CD6+vfLHsDJX1iCo4YvwqFHLMfQEfPwiROX4+RTHsNYsc0TP7Yc0659CZvfqgmu5GCiqvXBjDVokXXLw8/OkhS+/2+Lxf5+Jseby/HzX83F18+nnVyJr37rHmx6qzTQUbZlj9jIXpnLLO65eyM+81mxB1l3wybeiuHjbpb3C7Fs2evBrQtl5dU477wVsraWY8j4BRh1zHyMH7kA//Ld+7F9914015eLnTXhhVc/wKe/dIus8Zk4bPAdOPTIhThy+EJ85Zx1ePEP7wbJwSbOk4y7NQso1sTvl9bD5kewpIFhGIZhGD2dbpc0aL2fXaK1FvG+eNaGZ5EYU7Vkgl9OaMxVo1w2vfLONjzy/GtY/NALeGjNBvxpSymqpFwteCabT2HnT3vVI5UWp5incOnMBX4bXwTXQPdp8iUNeK8yy7jbFBrES65JVWNvUy2qJICpTNegPFOCiuYcyptyQWKgPLUX1aJvPuWfF6Dz3vo6zgODGT6JTOqAP0UofnadBFTV8rdKypen30FFXRa1qTrw196acy3Bw8d42XRr0kDqZasl4JMWeR2yRDzv7azC8t+tx91PrMfazdtQ2Vgt810hHWcQUYGWjASbEhg2NDXjvbK92LC1OjhrWp3jQ+2qxONvQaN0afOuPXhj1w7ZJ6+qEOtJlQR3ENBE0lKX5ydf+2An7nv8ZTy1ZjN2VaXExjLYvqcBf1xXiu21jdKuBLQ0MXazeZeY7CbUSjCxbU8dtlZW4aJ/fQyfP/1W8DftqVM+C46hBi+iCG69p61L0JGS6LW6uQmVovPt6UbsFDveLX2pasghwzxDhhdHv42mjOyzPoeUrAdW5QP3Mhk+TR+oaahFRaocuxrrsFM6VJqtkTabRWpk7spRJ31k/SYpXCt6qBS9NzY3oKShDCXNjSiVcextqJO2ZP4a61EheixvlLLNKdFxJrh9oEb6ks5WStC5B5UN9bKvNErTdSiRvtIOqhp4ifl7yGbel/2Jzchn5TIXlalKVNTugjSFvfVp0eN2bG8qwV8+aMCdd7+AgaNvwZvSSCO2ylyWBVeZ8NczxDLEhhhI1ovOKlBfXyNSL2PaiTLpz+50C8rSGVRLFFyW3YqqrOhRdFEnptMg42xGubRT3ar0lHQm2xzonj9TWM85lxIN0k61jKusWfrZUI2qvRIKpqWPcoxyayAtQWJpRRXe2rELpVKZV0IETxzMtM7/u3uqsWVbBZqaK4OgkomcllwTdu6twpFHzw0u++83eg4GjroKr72dQpUUevrFjXjwiXV4fv0WbK0tR222Bakm2bnME4P6oLtiCy1MfqbSaJJ18+rG3bj30Y1YsXoTNss6kB6KLchgmGUTHbVkd8n62iN9lDWbLUGVrLkKGVtl43Y0NXKNyJuWBlknVdJvKS/rKZWtD+b5zztLsObVPRIgT8HkyauwlzrLA5/V0ZxthMTsMufUk2hU6vFnCj8o24Lfy3H6rof/Gwvvfx7LnliLdZveQV26Uo7npWLPNaJfWausK3V4Bxl/pYDP++BPQXIOS+QY8+xrO7B8xSYsXfkqXt4ux3pZS80NnECWFxsO5rQKzU11YtNiGzmx6VQKFaKTStqa2DL3x/i+MV2BclkTpY1Z7M3UolbstUHWWKPYNLdn5DV/xrJCOvXCn9/C/Y8/i8fX/AFv7i6DHL1kWz3qRYfN0uEguRqs4VZdUBthLGlgGIZhGEZPp/teaRAiieNlJIe6LOhBiEYs1CcDCAoTLgw0ayRYrZSg73Ofm4kbZ6wN7uuWkENKS2TykUCj95OTkfP5BEFMxVP8EmFmstskXC8LHvz44188gXO+ObX1vnd5n27hIxAlIqS4etRZD4HjaMnWSgRagtJyYMixU8BfZeBPIPYfOQtvvO0mnwNjZE6RgdMouKmrbIPPDGnKIpXij3tWY29LPebf8RYOGfQfmL9gg2i/rq2g0V6SfHdZ0sAwDMMwjO6MJQ36KNSlJQ2KB5ME1CmTBrydI53mY/aAxctfwf/629+grCInYSHvz+f9z30vadD6w4kSFHPMjI2ZB0g3oLYpgw1vlGLiJy7DK+vfDxIGjW1JA151JOG31BFl9bCkQVNObCFbIq92o6S6BQePuwj7j7sB+42ZjgETf4433pNg/MP558A4QEobXWQbLdmcSAb89YgasdkdFSmc+oWp+OUlK1FSxdsGmOExOkKS7y5LGhiGYRiG0Z2xpEEfhbq0pEFHYKDXFv0K1CevMOAT85ub0iIpLLzrNXzz/BnYspVPrWfIzAe98ScbGQizUlC1j0A9BU8RkHG3JgH4E3trVm/EP5x1JZ5buy24LSUtOmnO5CSIbU3ABDhd9SB9NUvXg4c5yoB2lgJHjJ+O/YYvwX4j70W/ETOw8U0ZDIe3r8cl+85kq9CY24ONm3fj7G/cisVLXwtmqiFTE/xqjdExknx3WdLAMAzDMIzuTLdJGlx66aVtn/pJ4ngZyaEuzzvvPHzve99r+8QoDBcE87LybHClQev93DlkJFBcveo5PPTwn1HTIHaeakYqxzvPG9vqEf5tC4r7AkFwzDHz+osaGXoWb28qwZK7nkFJWXPwfIHGNHWUQYrJFyYMgjoiAa167ik0Y4/8X4psSxNeeKUCQyZegf6jF2LgmMU4dNwteGL17r+awEfG2bXwOJBtaURFzW7Mmfuf2Lq1Hk0Z/iAmHwpaEjyrwegYSb671q9fjwEDBljSwDAMo5uzY8eOQAxjX9LY2Ii333677V3X0GOSBkZxsaRBR2HE99ekQYAL/igSDPKseeud6o1BMMwT7EHRIH7gsw24tY/g9BKMm1dbiO4yoibeihC842e8f55RqijJlQ/q8O9fr+roCTTL5PMhl8/91yZ8/otXY/DRU3HYqBk4dNRMHHb0lfjMaf+KhbfeF9gJHyCYJ6bsNLhbapU/gOCED54EKkT4VED5Y3Q6TBr079+/VyUN6FRfdtllOPXUU4MxrV69um1L92PatGlBXx9++OG2T/7K2rVrg22UysrKtk/zw3puPlm3rwQZdGI5Xjf2rnZqDcOxYcOGj6xBrsmOote12baxL3HfrbTtrqLH3J5gFBcmDez2hI7AUKs1JdB6ulhgBOZEPsq0pGQrn/7PX/LgvePyOYXbg6sO+lDSgCoK1MSfptgr0hzogjrJiB7SKJXPmFBgIoYb5M9H5MMGegRp/npHLouNm7fjidVb8OiaMjy0ug4PranFw0/vxMo16/HMmrVINTGZ1PorJfsCqpYXdQQik8FfnMkFz93gAyjFPvdNt/ocvfH2BOfQOPEF5HS6KR0NqPO1w23z5s0LxFfG9dHnfLU3AOZ4XT0K9VFI0qEnQt3qMVPCgZo7O+aTQvXDOnHzavxPwjp30hv1x0Rl2B47Os5vfOMbQTtcz90Nri0mSnjsccK57Sy4Xnuz/Wg4Rq1X6pn67ihOf3ESpVv2w9k1y3UFljToo1jSoKME4VabKFSgy9/Xz0mQ3BL8jpx85iTYLp8FgXAfwY09iEKZOGh7wKHYIR94GASqgU6YMGj9vPWvFNXSQ2jJZNCcakJKRtaQzQWpEKaPUjLWNGqQyvAnCluCW1qyWZd4ChTUSpeNVXaUE+G0MEkQzAMTBvzcfWZ0Nr0taRA+w0eHJhwQ8uy+K0P54Q9/WLATxjbDyQnfFQ16Xz7dum3FTBq44JgBravfna+2KAbUrRsrx83xh+c0PF8+oc6ZbMhnD3peuT8jHj0/UUI99pbklm8NduTYyraK0U5nwPUStbb4ebGDeq0LJ/yst0G9uUSRTzpy9UqS9ejEN39cp247j4VdgSUN+iiWNOgCGHAx8A2CL/mvhQ6QyIefsVAfIQhC3YA5eAbKDEipC4pErQxcnV6C5EFbMM337vOeQiYlQ0ojJf0Ofj4ymHMZT5a3ZTTLy1SgkkzwNxNIq07kw2D8bKQroJ5pp7JvSk5e874Kfsx+B7eNGJ1Nb0sa6DMgUc6q266l0KBaBwNOuO8w+yJp4GDgEtd+b0LrKgq3PYnQWY/Teb55NT6Knp980pFgqDvixtWRNaiPN90pscK5cv2KkmInDny21NuSBtRXkiRne9dKIesxau50G/mSrMXAkgZ9FEsadAEu+AuEUW8fTxpQPoSvmSWQv9SFFm4K9NWWRQjet0lPoaU1GcBfgeC/1jmXvxwScwPylr+2wRe5HH+Osm2sQdnWP10D98nkDZMGslO+bZPWpAGfM2F0Nr0taaDPoEThtmthkJgUOkg+h86XNKAzS4ef/fI5+66uL6DQTll7neK49nsTTldx43S64JUl1KcTd1k1P3dlnEQ55XSk3bwWMyDqrWhbZoLO6Z76pe71euLr3nLFAUlim3Ho5B9ttLsQThhwLXBOCdeUXk/FmlO9T20zbr+9gXDCgAlKd0sCt+mEJYXbCkWvR66/KIlLpuu56Ior2Sxp0EexpIFhGEb3oLclDbQzFIXbTtGObVLHkw6Sq6MdODpZheLq+gIKPZb2OsVufO0NWHoKTldx43S6jCtDR1g77BRLCnScfLbMgEhfit2etdRdSWKbcejgrDvpRa8TX7+KPac6Wct2dYK4NyUN9HdKlM3oMu1JJOn12F70LQpdkcyypEEfxZIGhmEY3YO+njTQDjkdsSRoR1g/Q6E7Jg1cG772exNJxul0mU8X4TN9vV13XYGbH0qULXP9uDJJ12JPIIltxqFvTeguwbE+7sUFjDrBWsjVXD50koD71/bSW5IG+qoSCt/70AE7pdCrOPR67Ag66R7V12JhSYM+iiUNDMMwugd9PWmgz15R8jlfdE5dWTrz+r0vaUDnln2i+M5Yu7q+gEKPxecUM+Hh2o5KWLg2fO33JpKM0+kyiS50sEMJz52eV772wflh8Bu+coGONrdFoeeV0EY5vzpZxTaTrtVwXQrfR9kM0ePjmqDwta5fSJCg60YFeFrnbuxRUEc6YKG4MSXpF8cXrk+dck1H1Xc6oLA+y+mAnvV9Y3NjzzemKLT9xMH+sT96XG5Mxb5aRgfwcXZEHblylEJsRsP+uzacHrlf91mUTRULtyb1XPB93DpuD7Qr3X4cep6jjkFRsG1XtyNo+y+0D4WyT5MGdXV1OOKII7D//vvjiiuu2Gc/O9YXYdLgoosuCoSvDcMwjH3D5s2bMWnSpOC7kNLXkgZEOz5xDjDRl4XSkc2XNMjn2LptPgdRjyVcl86q20aJcl5dG772u54Udj78C3x51rqiP7EkyTidrpLqQgfa4bnV8xrexsAoHKT7JOpsum6bNhbXFtvIF+T66jnhdl993Qfalg6WnBQSqOl+RNVLEoiyr3oN+oTBVFSQzPp6Pz6hvn319VpnG+GkA8XXbzf2pHan4Ry6trm/KHTffMIxFZMk8+nQtlOIzWj0/qgTom20ve3mI8kaipuXQtFjiloDDr0O8pUNo8fUEXSir7N9h32aNKioqMDAgQPRr18/TJkyJfgslUqhubnZpJOFD2E777zzcO655wavfWVMTExMTDpf1q1bF1xpcNBBBwXfh4sXLw6+D3sqSZwht92V0Wex4pxrnwOvnXWf45bPsXXb2O8weiy6btKEAXFtFNOx7RB16zBr8im4cNFfipo4cIGJT48Op6+4MhodXIbrxDn32iZoT9zOOaKDrRNUFN/c6bZ1wMW63Kbtwn3uQycbOP/cP/vGffK92+bTR1QfWNbVdcFbEnSffeuAa1DvJyro1+043bI9nuUMb/Oh9c/96fo6COO2cDJFz6vuK/Xh9u2bT7eNdQpF7zMqyUT0XHOMrEehDXO/4X3nS7z4hPbj0PuLmitHvrnPhz77zvlyaBttT7v54PzrdUIdUp/cr9Or2+bQQXRS0fOq7VPr24cev9ZLEvSccP6cveSbyzCs49phm53JPk8a9O/fHwceeCAGDRoUyJFHHhlcfWDS+cKEDZ3U4cOHe7ebmJiYmHS+8Da9Aw44IPjS7w1JA+fI0dmLwjk5FId2gqMus9ROmgsOtNPkc9x0HZ9j67b5HC6fsx0OrnxBika30T3g1QYXY+R+JxQtcaCTOVEBNHFlkjq3OlgJ14lz2NkfBgK++Sa6rq8vejuFthx25sNlwgGuDl7Yl/D2cEAU7mu4fdpc1HiSoO3QJS8ofB0OwML6dOj5YN/DYyI6GA6vDe7PbeN69yU9dNAW7oeu7yRfYEc6sgb1PETphbbhyvjsn3oK24/uU1LR+9ef50PvK9/xKgz77o7NtBE951o3HbHNKPQaYh/C9sb3LrHo0H1KKvoYoHWVb0x6XzrxkIR88x93/NJQB64OddSZ7NNvsIaGBpxzzjn4yle+EgzUnfnmvfYmnS/f/va3g78XXHDB/9hmYmJiYtI1wu++888/H2eeeWYgq1atavuW7FnQedEOP525KFwZiiMcZPlwgY12XnUg4XPq8zm2bpt2HB1hB7LQhAFxTi0lSYDTJeS24uEfnCB9OgEXzlmL3fyp1XbCwE/rKSrhQ1wZn6596LkNJ6H0vPrmPQ7taPv6otv2BSsOHfSH51bbSdQVAToID68X3QdKocFeGD1HccK1F9VfFzxSogIaHUCHdasTClF2Ejc32h4occcYjT62FLoGk9iZ7lfSPrEO2ytEdOLB7Y+SDz33bKcQWN7VDdug3hZlDx1B21vccUVD23X6Siq6ba2rfGNiXVc2bKv50N+VcRKXhHXo8p3JPk0aGIZhGIbR86Ezqx28qLOQDp+To4MFSjhwocPqtmlHSjvsdOLCaMfO5wS6bT6nTzuQ3H+hCQPCcengkq+TOsCdSnCbwkjp00hMvnwpXtudatuQHI5D6yTf2TZXLqmDrec2XEfPq2/e8+HqUsLotuPmSieE9Njj+h0mqpzuQz69JkHbcj7hnIbtm+vRbedaj8OVCyd63OeUOPR60Wi9xiVzwvjWYNL1qxMdUXW0bqg733Gm2Lj9UfKh576QtaLH5bNjbaPFHrP+PqBOuwqtq3xj0uP36ScOl9zgPpzQvnhM0cdUSr4502U7k85t3TAMwzCMXo92nujMhwP+MFFOjj77EnaUtDOnz7jR2YqqQ3TffE6g2+Zz+vQ+tSNX6NlKOsC6rXxOILAdD1848cPyXSNfxtRnd6KQiw70mPg6XxCnyyZBz224jp7XfPpkO5wzlnPi6lLC6O0+m3FE9U+f2abdcFuUuHLhQFz3ga87it6XHhPnjO8ZsOjEH0WvYz3WpGOiOPQVCPnq67WmidJ3EsJrMGl9XUfrLYxOLrj2kyYm2oPeVz70GArpk66nj7mOpOukPXRkrjtC0vkmevzFSOxpwvYUd2zV5TqTzm3dMAzDMIxeDx1K7eTkOwsY5eTwrK5uw6EDjrADqZ1LX3CVz7F123yOqXYgdSATPoOaD60btpnfwd4HSYPJl2PJa7sLShpwHPoMrk+HmqTlHHruwnX0Nt+80/58Z+18EiafzTi07en+6fpJZV8lDTTUmU4c6EBIjzWpUPeO9tSnaKL0nQR9VQhtNkoHYZLojVB34UCPQn12RvJA7yNfkjbpGDT6WBx1y0XSddIeOjLXHUHrKt+8FXuNamhPrm1KnH51uc7EkgaGYRiGYRQFfYY1ytEkcU6ODlrcpeH6CoSwI6edS5/jls+xddt8jmnYgdQBaNz4NLp/Ogjb1+R2r8HU4PaEE3DhrFV4u679DzaImx+NK5M0CNBBWHhu4xx2Otw6mUHhe+7Xid4WJp/NOPTc6jHp+vyc7/NJeD/8zLXB1x1FjzluTFGJOz1Wfq77HiX61o6O1idR+s6HTjoWuga1bSe5woh9DtsXRd9SRXS7SUWvLW3fcfNJ9DE1X1mHXnvhteNEt+vKFOsY1965po5cvaSi50Ynl2iDcRRStj1w3Enad2UonYklDQzDMAzDKBrOkaQTGUWck0PnyG2jA8oA0AXr+sylQzuXPsdKt+dzmN02n2OqnTbW1QEVJS5AdmjH0neJ7z7hwwchfhmXP/xmh39BQd/7HA6ONK5MkiBAt0kJ607Pa3jedUBGO/SdiXXbKWHy2YxDByh6TDp5lmSsPuLG1x7CthyFDrApDr3O2jMm3a5vHSehvX3Quix0DbZ3HmhzOvCm6OOFno+kovev68cdh8JnrJPSnv45ibOvpOi5jvsuCaPnK6loW9L1445lhP1yZYsx5jB6DuJsz5WhdCad27phGIZhGH0K7ehEEefkhINFHXT7zu5r59LnWGkn0OfYuW3acXTosbi6uj8MfvIFIUn00bW4n1ws/BkGcbgx+vToSFLGoQMuJqLC6HkNz7t25hk0+XDbKWF02+Gz3RqdnNC22d6ARxM3vvbgs2Ufuu86uNfrsr1Bv6tPiZqXOHTfktiQoyNrsKPzoOtrG6FdcVshoueN7127ccGtTmwVGnxTb3Hiu9KAUgzC3wNJ7YXHY62zJKKTLtrGfMcdRzgZ0x57zgfXmWs/6jik9RTX32LQXb7BDMMwDMPoBdBpdE5MFG57VJnwGTondJDCaCePDmAYfua2a6fb4bb5nF09Fl1XB6V8HecwujbaGzwWnZpncfnI4iYMiNNJXNDgdBZXhroMz7/PYdbzGp53Xdc3N1Fn0x267ajEENvVTn3YtuK2JSFufFFwP1H7irLlMFr3fK3RQWLc2e0odNtJx6Rhv139OBsKo8deKPrqokL26dB9znfmuhDCNhyVvNTHKt/tFbRj9jHuGBaFttE4m2LfuN13/I5D21uUvbDfSW4bKQS9dqPa1snj8DpxtGfMDn21EiVqfrR9tcc+C8GSBoZhGIZhFI0kDrrbHlVGO+pOohwi7TT5HMt8jq3b5mtfj0XXDQeMUU4jcW1E9b9racLbi36ACxf9pcO3JIRJMk6nL18ZBhZ0lLVeKVGBlp7X8LzHBUrcT3gfYXTbFJbXiQvOv96Hbzza6Wd9n+0Rfs79hYOLuPH50Fc9+AIdNz8UX1/4mS7jK6fXJccUlTigjn1j4ue6fV8/Ceuxfnj/fO/qxtlZGDeuQuo42Be3z6gzuewr9e8LEPPNS0fQQTXnQweWfK33Hd5O+N5tp4S350PbqM+miJ5z9qEQ9FUSlLC9cZ9uHUbtvz1ovfna1mvbt53o40M46cn2aYvhzwnnQOuVEmc3uixfdyaWNDAMwzAMo2jowCMKtz2uDB1MXS4qQKHD5sr4nKZ8jq3b5gso9FjCdfV+KVGOnWvD135vIsk4tb6SiO92FEecs6zPAlLowLOMduS1hNFta6FNaptw4rMrooM6CvfPBBP7x3a0jYfbiBufD90vX3lfv+MkSvfhdtyYuE9uy3d2OByQsTzrJamv1xzLJsX1uZA6Gj1PvsDatU+hPqg79j0uqC8GvgQY98/+6M/5mmXDhI9hUXYcBceYr254H4USXkMcC8cX/tw3vvbCeQofK6L2G/W9pMuE7Vjbi2vXiZ43Cj+LQ1+940tCFBNLGhiGYRiGUTS0QxSF2x5XRgd+dNSi0E5p2Dkj+Rxbt83nnOmx+Orqtim+M42ujXzOX08nyTi1ruKEjnBUEOLQuvfNu567sDBw1fYVRrfNZFA4gHBCBz/OUWfwoZ36KGE7YdvJN74wery+8kn6QeFaiwqECMekdRclHFNUIKfHFiU+3eq1Xsh6SmKbcehEh2+++Znb7pM4XXQUX+JAS9y++bku6zt+xaHnMWq96jmLO45HQXuLW8uUJOujUHyJg7DErRM9J+Fy4SsVfML6HBf7EYdOYuQr21EsaWAYhmEYRtHQDl4UdJroEMVddkkHlmUocYGZLudzXPmZ2+5zit02nwPI/brtUQ6ZGwvF175zHtsbsPQUkgRmWp9hoR45V0kdXz2vUUER9+cuBaawrLMRV99ng/zc2bArT/tw7VAYOCcNstiG7ocT7ifKtjkmbqdEjU+jgwdfv/Q6iZIk+3FwTNRBeEz8LG69OtifqPrUtc8O+Jnra5J9ONhuPtuMg/1xuuU8+nD61WNhWdpXZwdzvn1TuG+fLWhYxvWzUNwaokTth9uc7vi6vXAOmPgqdHwdgfPm2y9tNN9acccejtk3/+y3071umxKnTw374HTLBEdnY0kDwzAMwzCKhnYSO9tZ7gk4XdAZ7M1wfBxne84mdje0DbukQXdGB7UMaIyP4hIq7V2DPI45/TIJaCSDenNJU/6174PiwqSDs8v2JH0KxZIGhmEYhmEUDR1wFXI2sDfCs0VOFzxb1ZvRl7/39OCgpyUNXFDMvxaYfRQd8HdkDfKMsGunrx/XkmLfBZ2Lvn2iK9a9JQ0MwzAMwyga+pJJnl3i2b2+5jBSBxy3vmScZ4N7M/psN8fN8XfmpcOdSU9KGmi994QER1dR7DVI3bp2mEAw4mEQ664y6O0J032B/p7tKnu0pIFhGIZhGEVFn5WjMAjrS+igk8IzQr39DDDHF35wWE+d956UNGBgzH7abQkfpTPWoNM1pbev547iLp232xI6B/0dywRCV2BJA8MwDMMwig6vLqDjTulrZ0DpxLmx8+xmX3GaOU6O143drjQw9hW0vWKvQdqCO3veVYGaYfhwV9B05VUvljQwDMMwDMMwjDYYYDJAtISBYRhGK5Y0MAzDMAzDMAzDMAzDiyUNDMMwDMMwDMMwDMPwYkkDwzAMwzAMwzAMwzC8WNLAMAzDMAzDMAzDMAwvljQwDMMwDMMwDMMwDMOLJQ0MwzAMwzAMwzAMw/BiSQPDMAzDMAzDMAzDMLxY0sAwDMMwDMMwDMMwDA/A/weUbOQCA7nD8wAAAABJRU5ErkJggg==
* Si $$(E, d)$$ es [[Espacio separable]] y completo, $$\{\mu\}$$ es [[Familia tensa]]
* Si $$\{\mu_\lambda\}\subseteq P(\R)$$ es tensa si existe $$p>0$$ tal que \[\sup_\lambda\int |x|^p \mu_\lambda(dx) <\infty\]
* Si $$(M_i)_{i\leq m}$$ son tensas, $$\bigcup_{i\leq m} M_i$$ lo es
Este tiddler se usa para los ejercicios sin completar.
Este tiddler se usa para mantener los ejercicios resueltos.
!!Hipótesis
Sea $$E$$ un evn, considerar su [[Funcional de evaluación]] $$J$$.
!!Conclusión
$$J$$ es una isometría inyectiva
!!Demostración
Sea $$x\in E$$. Por la [[Dualidad de la norma]] se tiene que:
\[
\Vert J(x) \Vert_{E^{**}} = \sup_{\Vert f \Vert_{E^*}\leq 1}|f(x)| = \Vert x \Vert_{E}
\]
Por lo cual es isometría, en particular, es inyectiva.
!!Hipótesis
Sea $$X$$ un evn de dimensión infinita, y $$\{l_i\}_{i\leq n}\subseteq X^*$$
!!Conclusión
\[
\dim\, N := \dim \bigcap_{i\leq n} \ker\, l_i = \infty
\]
!!Demostración
Considerar $$G: X\to \R^n$$ definido por:
\[
x\mapsto (l_1(x),\ldots,l_n(x))
\]
De forma que $$N = \ker\, G$$. Luego se tiene que $$\dim(\text{Im}(G))\leq n$$.
Si $$N$$ tuviera dimensión finita, por el teorema núcleo imagen se tiene que $$X$$ tiene dimensión finita, lo cual es una contradicción.
!!__Hipótesis__
Sea $$\{e_n\}$$ una [[Base ortonormal]], y $$u\in H$$
!!__Conclusión__
\[
\begin{aligned}
u &= \lim_{n\in\N} (e_n, u)e_n\\
|u|^2 &= \lim_{n\in\N} |(e_n, u)|^2\\
\end{aligned}
\]
!!__Demostración__
[[Pendiente]]
Tenemos el [[Poliedro]] $$P(A, b)$$. El sistema de ecuaciones se puede particionar en $$\{I^0, I^+, I^-\}$$ como tal:
\[
\begin{aligned}
\sum_{j=1}^{n-1}a_{ij}x_j + x_n \leq b_i; i&\in I^+\\
\sum_{j=1}^{n-1}a_{ij}x_j - x_n \leq b_i; i&\in I^-\\
\sum_{j=1}^{n-1}a_{ij}x_j \leq b_i; i&\in I^0
\end{aligned}
\]
Este sistema es equivalente a:
\[
\begin{aligned}
\sum_{j=1}^{n-1}a_{i^+j}x_j + \sum_{j=1}^{n-1}a_{i^-j}x_j\leq b_{i^+}+b_{i^-}; i^+&\in I^+, i^-\inI^-\\
\sum_{j=1}^{n-1}a_{ij}x_j \leq b_i; i&\in I^0
\end{aligned}
\]
Notar que perdimos dimensión de $$A$$, al costo de aumentar las dimensiones de $$b$$.
Lo cual define un poliedro $$P(A', b')$$ donde $$A'$$ tiene 1 menos de dimensión, que es no vacío ssi $$P(A, b)$$ no era vacío. Podemos hacer esto recursivamente hasta tener inecuaciones reales, y cada una de estas sería trivial de determinar.
Problema: Si realmente se aplica así, la dimensión de $$b$$ será $$O\left(m^{2^n}\right)$$, por lo que esto no es práctico.
Uno puede notar que el primer paso se podía lograr multiplicando por una matriz $$Y_1$$, por lo que se podrían realizar todas las iteraciones precalculando $$Y=\prod_{i=1}^n Y_i$$, y termina ocurriendo que:
\[
\begin{aligned}
YAx &\leq Yb\\
0&\leq b'\\
\end{aligned}
\]
El problema antes destacado era la dimensión de $$b'$$
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
En una función de costo dada por:
\[
J(\theta ) := -\log(y_1,\ldots,y_n|x_1,\ldots x_n;\theta)
\]
Cantidad de clases diferentes que contiene un
cluster
Considerar medidas $$\mu, \pi$$. Se le llama la entropía relativa de $$\mu$$ con respecto a $$\pi$$ al valor
\[
E(\mu) := \sum_{i} \phi\left(\frac{\mu_i}{\pi_i}\right)\pi_i
\]
Típicamente se aplica $$\phi(x) = -\log(x)$$.
Esto es la versión discreta de la [[Divergencia de Kullback-Leibler]].
Es el conjunto de todas las posibles [[Combinaciones de vectores]] $$\{x_i\}$$. Se le apellida igual que el apellido de la combinación elegida.
''Hipótesis''
Sea $$S$$ una [[Envoltura]], [[Finitamente generado]].
''Conclusión''
$$S$$ es [[Poliedro]].
''Demostración''
Primero, viendo el caso lineal.
\[
P = \left\{(x, \lambda): x = \sum_{i=1}^n\lambda_ix_i\right\}
\]
Que es un poliedro. Además, $$S = \text{proy}_x(P)$$, pero la [[Proyección de poliedro es poliedro]], concluyendo lo pedido.
Notar que agregar las restricciones sobre $$\lambda$$ para los otros casos no cambia nada, pues $$P$$ sigue siendo poliedro.
Sea $$(X, \tau)$$ un et compacto, $$(Y, d)$$ espacio métrico completo.
Un conjunto $$F \subseteq C(X, Y)$$ es equicontinuo si para cualquier $$x\in X, \epsilon > 0$$, existe una vecindad $$V\in \Nel_x$$ tal que:
\[
\forall f\in F, y\in V:\, d(f(y), f(x))<\epsilon
\]
!!Hipótesis
Sea $$X$$ una [[Cadena de Markov]] con un conjunto de estados $$I$$ y [[Matriz de transición]] $$P$$
!!Conclusión
Las siguientes proposiciones son equivalentes:
# $$X$$ es [[Cadena recurrente]]
# $$\forall i\in I$$, se cumple que $$\forall j\in I, i\to j\wedge \P_j(\tau_{i}<\infty)=1$$
# $$\exists i\in I$$, se cumple que $$\forall j\in I, i\to j\wedge \P_j(\tau_{i}<\infty)=1$$
!!Demostración
$$2\implies 3$$ es trivial.
Para $$2\implies 1$$, dado que $$i\to j$$ y cambiando los roles, $$j\to i$$, se tiene que $$i\leftrightarrow j$$, por lo que $$X$$ es irreducible.
Para $$1\implies 2$$, la recurrencia de la cadena dice que:
\[
\forall i\in I: \P_i(\tau_i<\infty)=1
\]
Haremos un trucazo, calculando la siguiente probabilidad:
\[
\begin{aligned}
\P_j(N_i=\infty) &= \E_j(1_{N_i=\infty})\\
&= \E_j(1_{N_i=\infty}1_{\tau_i<\infty})\\
&= \E_j(\E(1_{N_i=\infty}1_{\tau_i<\infty}|\Fel_{\tau_i}))\\
&= \E_j(\E(1_{N_i=\infty}|\Fel_{\tau_i})1_{\tau_i<\infty})\\
&= \E_j(\E_{X_{\tau_i}}(1_{N_i=\infty})1_{\tau_i<\infty})\\
&= \E_j(\P_{i}(N_i=\infty)1_{\tau_i<\infty})\\
&= \P_{i}(N_i=\infty)\E_j(1_{\tau_i<\infty})\\
&= \P_{i}(N_i=\infty)\P_j(\tau_i<\infty)\\
&= \P_j(\tau_i<\infty)\\
\end{aligned}
\]
Usando [[Propiedad de Markov fuerte]] y en el último paso la hipótesis de recurrencia de $$i$$. Con esto, va a bastar demostrar:
\[
\P_j(N_i=\infty) = 1
\]
Por [[Dicotomía recurrencia-transiencia discreta]] se tiene que:
\[
\begin{aligned}
1 = \P_i(N_i=\infty) &= \P_i(\forall m\in\N\exists n\geq m: X_n=i) \\
&= \sum_{k\in I}\P_i(\forall m\in\N\exists n\geq m: X_n=i|X_l=k)\P_i(X_l=k) \\
&= \sum_{k\in I}\P_i(\forall m\in\N\exists n\geq m: X_n=i|X_l=k)p_{ik}^{(l)}\\
&= \sum_{k\in I}\P_k(\forall m\in\N\exists n\geq m: X_n=i|X_l=k)p_{ik}^{(l)}\\
&= \sum_{k\in I}\P_k(N_i=\infty) p_{ik}^{(l)}
\end{aligned}
\]
Para $$l$$ arbitrario. Acá se usó [[Propiedad de Markov débil]]. Por otro lado, $$P$$ es [[Matriz estocástica]], uno sabe que:
\[
\sum_{k\in I} p_{ik}^{(l)} = 1
\]
Entonces, debe darse que $$1 = \P_j(N_i=\infty) $$, que es suficiente para concluir.
Se define el [[Discurso]]. Se dependiendo el ámbito del uso, se puede hablar por ejemplo de :
* Discurso académico
* Discurso científico
* Discurso judicial
* etc
Con esto, se define el [[Género del discurso]], ejemplificando el industrial, que puede tener los siguientes objetivos:
* ''Describir ''un fenómeno
* ''Explicar ''un propósito
* ''Argumentar ''una decisión
* ''Consignar ''resultados de un experimento
* ''Describir ''resultados
* ''Presentar ''hipótesis y metodologías
Tiene una estructura determinada (como secciones) y está dirigido a una [[Audiencia]], que puede ser (no) especialidada, (semi)experta, u otro.
¿Cuáles son los géneros discursivos que circulan en el ámbito de la ingeniería y ciencias?
Hay muchos ejemplos, como:
* Informe de laboratorio
* Informe de proyecto
* Plan de negocios
* Artículo de investigación científica
* Manuales
* Cartas de solicitud
* Resumen
* Ensayo
* Presentación oral
¿Por qué conocer los géneros académicos?
El teórico Bajtín nos da la siguiente respuesta:
<<<
Muchas personas que dominan la lengua de una manera formidable se sienten, sin embargo, totalmente desamparadas en algunas esferas de la comunicación, precisamente poeque no dominan las formas genéricas y las prácticas creadas por estas esferas
<<<
Dominar el género discursivo de la comunidad es conocer la forma específica de comunicarse y devolverse en ellos.
La escritura es una tarea compleja en términos de demanda cognitiva, pues contempla muchos procesos y fases.
El escritor debe desarrollar 3 grandes procesos cognitivos:
* Planificar:
**¿Qué me piden escribir? ¿Qué contenidos? ¿Cuál es la situación de comunicación? Representarse la tarea
**¿Para qué escribo? Formular [[Objetivo]] y propósito de escritura:
** ¿Para quién escribo? Analizar la [[Audiencia]] a la que me comunicaré
** Generar y organizar ideas, puede ser mediante esquemas, diagramas, índices, mapas, lluvia de ideas, organizadores gráficos, etc.
* Textualizar
**Ejecutar lo planificado, escribir las ideas
**Se realiza la escritura de versiones preliminares o borradores del texto
* Revisar: Examinar el texto para mejorarlo, comparando el texto producido con los planes previos, leyendo atentamente, viendo:
** Ideas, estructuras, gramática, puntuación
** Mejorar y retocar el texto hasta lograr una versión final
Esta clase se trata del género [[Informe]]
!!Tipos de informe
* de laboratorio
* de proyecto
* de práctica profesional
* de diagnóstico
* de investigación
* bibliográficos
!!Estructura del informe
Dependiendo del tipo de informe es su estructura, pero generalmente posee:
* Portada
* Resumen ''ejecutivo''
* Índice
* Introducción
* Metodología
* Resultados
* Conclusiones
* Referencias ''bibliográficas''
!!Recomendaciones
* Revisar las tareas de escritura:
** [[Objetivo]]
** [[Audiencia]]
** Difusión
** Género solicitado
** Extensión y secciones, tipo de letra y otro
* Planificar el contenido: Ver [[Escritura 2: El proceso de la comunicación escrita]]. Hacer una lista de ideas y ordenarlas en un hilo conductor
* Revisar:
** Aspectos de redacción:
*** El texto: ¿Tiene unidad de sentido? ¿Tiene un hilo conductor? ¿Es adecuado en su lenguaje y profundidad para la audiencia? ¿Cumple su propósito comunicativo? ¿Respeta normas ortográficas y gramaticales?
*** Ideas: ¿Hay alguna idea que se escape, o una que sobre?
*** Párrafos: ¿Cada párrafo aporta al texto en su conjunto, a su propósito comunicativo?
** Aspectos de formato:
*** Portada que tenga todo lo necesario
*** Todas las tablas y figuras enumeradas con título y descripción
*** Fuente consistente en todos los párrafos
*** Título de cada (sub)sección sea claro
*** Numeración correcta de las páginas
* Antes de entregar, solicitar la revisión, preferiblemente de algún docente, para que puedan dar retroalimentación sobre el informe
Acá se verán ''herramientas metodológicas ''básicas para ''incentivar'' en lxs estudiantes la ''competencia de producción de textos'' a través de ''retroalimentación activa''.
La retroalimentación tiene las siguientes características:
{{retroalimentacion.png}}
!!! ¿En qué consiste las retroalimentación efectiva de la escritura?
Es una estrategia discursiva llevaba a cabo por un docente, que guía el trabajo de producción del estudiante, y deben aportar al proceso de aprendizaje y a la construcción de conocimiento. Pueden ser de distinto tipo:
* Guiar la producción escrita: Orientar o recomendar como escribir un determinado apartado. Ejemplo, darle las siguientes observaciones:
** Desarrolla un pequeño párrafo introductorio
** Esta sección no posee un cierre
* Solicitar ampliación de la información: Pedir que profundice en algún aspecto, como por ejemplo agregar un respaldo o una fuente.
**¿Cuántas etapas tiene tu metodología?
** ¿En qué contexto se desarrollo el experimento?
* Empujar o problematizar: Se hacen preguntas para reflexionar sobre el tema presentado, para formar un nuevo conocimiento:
** Este supuesto/hipótesis que se plantea es interesante, pero deben sostenerlo con alguna evidencia de la literatura
** ¿En todas las pruebas experimentales se comportó de esta manera? ¿Cuál es la explicación?
También son importantes los comentarios de ''ajuste al género'', que indican el modo como el discurso se aproxima a lo que la comunidad académica/profesional espera del texto, ejemplo:
<<<
Para todo este apartado: se trata de informar al lector (evaluadores e investigadores) qué decisiones se tomaron, entendiendo que el proyecto ya se realizó
<<<
Para una retroalimentación efectiva, no basta solamente aceptar o rechazar, sino que entregar una orientación al estudiante.
La retroalimentación proporciona instrucciones, o demanda información, lo que ubica a los estudiantes en un ''rol activo'', y y los empuja a dar ''nuevos pasos'' o ''discutir'' su aportes para ''problematizarlos''.
Como recomendación final, si es posible, corregir/retroalimentar avances, borradores y esquemas, pues esto es mucho más efectivo que solamente hacerlo en la versión final.
Es un conjunto $$X$$ que es cerrado bajo la [[Combinación afín]].
''Proposición''
Sea $$F\neq\varnothing$$ una [[Cara]] de $$P(A, b)$$, con $$I$$ son las filas activas de la cara (dadas por el [[Teorema de caracterización de caras]])
''Conclusión''
Su [[Espacio afín]] está dado por:
\[
\{x\in R^n: A_I x = b_I\}
\]
''Demostración''
[[Ejercicio Pendiente]]
!!__Hipótesis__
Sean $$T_n$$ [[Operador compacto]] convergentes a $$T\in\Lel\Cel(E, F)$$
!!__Conclusión__
T es compacto.
!!__Demostración__
[[Pendiente]]
Sea $$X$$ un ev con una [[Forma bilineal]] simétrica y semidefinida positiva, es decir, que cumple lo siguiente:
\[
\begin{aligned}
uv &= vu\\
u^2 &\geq 0\\
u^2 = 0 &\iff u = 0\\
\end{aligned}
\]
Así, se define la norma $$|u| = \sqrt{u^2}$$.
[[Ejercicio Pendiente]]: Probar que es norma.
Decimos que $$X$$ es un espacio de Hilbert si es un Banach con respecto a esta norma.
Dado un evn $$E$$, su dual es $$E^* = \Lel\Cel(E, \R)$$, que es un Banach con la norma:
\[
\Vert f\Vert_{E^*} = \sup_{\Vert x \Vert \leq 1} |f(x)|
\]
''Ver'' [[Espacio dual es Banach]]
Proposición es el título.
''Demostración'' [[Ejercicio Pendiente]]
!!Hipótesis
Sea $$E$$ un evn, $$E^*$$ su dual
!!Conclusión
$$E$$ es reflexivo ssi $$E^*$$ lo es
!!Demostración
[[Ejercicio Pendiente]]
!!Hipótesis
Sea $$E$$ un evn y $$E^*$$ su [[Espacio dual]]
!!Conclusión
$$E$$ es [[Espacio separable]] y [[Espacio reflexivo]] ssi $$E^*$$ lo es
!!Demostración
$$\impliedby)$$ Es directo de [[Dual separable implica separable]] y [[Espacio es reflexivo ssi su dual lo es]]
$$\implies)$$ Por el mismo teorema anterior, ya se tiene reflexividad. Más aún, se tiene aplicando lo mismo que $$E^{**}$$ también lo es.
Por tanto, por hipótesis $$E$$ separable, y por reflexividad $$E^{**}$$ también lo es. Así, como $$E^{**}$$ es el dual de $$E^*$$ y es separable, entonces $$E^*$$ lo es.
Dado un espacio con [[Medida sigma finita]] se define su espacio $$L^p(\Omega, \mu)$$ como:
* Si $$1\leq p<\infty$$: \[L^p(\Omega, \mu) := \left\{f\in \mathcal{M}: \int_\Omega |f|^p\, d\mu <\infty\right\}\]
Con la norma $$\Vert f\Vert_p := \left( \int_\Omega |f|^p\, d\mu\right)^{\frac{1}{p}}$$
* Si $$p=\infty$$: Las funciones con norma supremo ctp acotada.
Con la norma: $$\Vert f\Vert_{\infty} := \inf\{C: |f(x)|\leq C \text{ ctp}\}$$
Dado $$M\subseteq E, N\subseteq E^*$$, se definen los espacios:
\[
\begin{aligned}
M^\perp &= \{f\in E^*: \langle f, x\rangle=0 :\, \forall x\in M\}\\
N^\perp &= \{x\in E: \langle f, x \rangle =0:\, \forall f\in N\}
\end{aligned}
\]
''Ver'' [[Relación de doble ortogonalidad con clausura]]
Sea $$V\subseteq H$$, donde $$H$$ es un [[Espacio de Hilbert]].
\[
V^\perp = \{x\in H: \forall v\in V, (x, v) = 0\}
\]
Se dice que un evn $$E$$ es reflexivo si el [[Funcional de evaluación]] es biyectivo.
Estos permiten la identificación $$E=E^{**}$$.
Un espacio de Banach $$E$$ es dice separable si tiene un conjunto denso numerable.
Sea $$X$$ un espacio afín. El espacio vectorial asociado a $$V$$ es uno que cumple que para todo vector $$x\in X$$ se tiene:
\[
\{x\} + V = X
\]
''Nota:'' $$V$$ siempre existe.
Sea $$E$$ un espacio vectorial. El par $$(E, \Vert\cdot\Vert)$$ se le llama espacio normado si $$\Vert\cdot\Vert:\E\to\R_+$$ cumple las siguientes propiedades:
* $$\Vert x\Vert = 0 \implies x = 0$$
* $$\forall \alpha\in\R: \Vert \alpha x\Vert = |\alpha|\Vert x\Vert$$
* $$\Vert x + y \Vert \leq \Vert x\Vert + \Vert y \Vert$$
!!__Hipótesis__
Sea $$H$$ un [[Espacio de Hilbert]]
!!__Conclusión__
Existe una [[Base ortonormal]] $$\{e_n\}$$
!!__Demostración__
Consideremos:
\[
A = \left\{ F\subseteq H: F\text{ son todos ortonormales}\right\}
\]
$$A$$ no es vacío, pues se puede considerar un singletón con un elemento normalizado.
Luego, sea $$C = \{F_\lambda\}_{\lambda\in\Lambda}$$ una cadena bajo la inclusión. Así, se tiene que:
\[
F = \bigcup_{\lambda\in\Lambda} F_\lambda
\]
Acota a la cadena. Sean $$e_i, e_j\in F$$, es decir, se tiene que existen $$\lambda, \mu\in\Lambda$$ tales que $$e_i\in F_\lambda, e_j\in F_\mu$$. Como $$C$$ es cadena, se asume sin pérdida de generalidad que $$F_\mu\subseteq F_\lambda$$, es decir, $$e_i, e_j\in F_\lambda$$. Como este conjunto es ortonormal, $$F$$ es ortogonal, Normalidad es clara.
Entonces, $$F$$ es cota superior, por lo cual el [[Lema de Zorn]] garantiza que tenemos un elemento maximal $$B$$.
Queremos demostrar que $$B$$ es la base, para lo cual se asumirá lo contrario.
Sea $$x\in H\setminus\overline{\langle B\rangle}$$. Usando [[Hahn Banach en Subespacios]] que existe una función tal que $$\overline{\langle B\rangle}\subseteq \ker(f), f(x)\neq 0$$.
Ahora, por [[Teorema de representación de Riesz]], uno tiene que existe un único $$y\in H$$ tal que:
\[
f(x) = \langle y, x\rangle
\]
En particular, se tiene que $$y\in \overline{\langle B\rangle}^\perp$$. Consideremos su normalización $$\bar y$$.
Luego, $$B\cup \overline{y}$$ es un conjunto ortonormal que contiene estrictamente a $$B$$, contradiciendo maximalidad.
Así, $$B$$ si era base, demostrando lo pedido.
Corolario de: [[Espectro de operador autoadjunto]]
!!__Hipótesis__
Sea $$T:H\to H$$ [[Operador autoadjunto]] en un [[Espacio de Hilbert]] con [[Espectro de operador]] $$\sigma(T)$$
!!__Conclusión__
\[
\sigma(T) = \{0\} \iff T=0
\]
!!__Hipótesis__
Sea $$E$$ un espacio de Banach sobre $$\C$$ con un operador lineal.
!!__Conclusión__
El [[Espectro de operador]] de $$T$$ no es vacío.
Sea $$T:E\to E$$ operador lineal sobre el espacio $$E$$ sobre el cuerpo $$\mathbb{K}$$. Su espectro está dado por:
\[
\sigma(T) := \{\lambda\in\mathbb{K}: \lambda I - T\text{ es no invertible}\}
\]
!!__Hipótesis__
Sea $$T:H\to H$$ [[Operador autoadjunto]] sobre un [[Espacio de Hilbert]] con:
\[
\begin{aligned}
m &:= \inf_{\Vert u\Vert = 1} (Tu, u)\\
M &:= \sup_{\Vert u\Vert = 1} (Tu, u)\\
\end{aligned}
\]
!!__Conclusión__
\[
\sigma(T)\subseteq [m, M]
\]
y más aún:
\[
\Vert T\Vert = \max\{|m|, |M|\}
\]
!!__Hipótesis__
Sea $$T$$ un operador lineal, con [[Espectro de operador]] $$\sigma(T)$$
!!__Conclusión__
$$\sigma(T)$$ es [[Acotado]] por $$\Vert T\Vert$$ y cerrado, en particular, compacto.
Dado un operador lineal $$T$$ de un Banach sobre el cuerpo $$\mathbb{K}$$, el espectro puntual está dado por:
\[
\sigma_p(T) := \{\lambda\in\mathbb{K}: \lambda I - T\text{ no es inyectivo}\}
\]
Sus elementos se les llama [[Valor propio]]. Notar que es subconjunto del [[Espectro de operador]], pero podría serlo propiamente.
Sea $$X\in L^1(\Omega, \Fel, \P)$$. una [[Variable aleatoria]] hacia $$\R$$.
Su esperanza es su integral de Lebesgue con respecto a $$\P$$.
En particular:
Sea $$\mathcal{G}\subseteq\Fel$$ sub $$\sigma$$-álgebra. Se define la esperanza condicional de una [[Variable aleatoria]] $$X\in L^1(\Omega, \Fel, \P)$$ con respecto a $$\mathcal{G}$$ como la variable aleatoria $$Z\in L^1(\Omega, \Fel, \P)$$ que satisface:
* $$Z$$ es $$\mathcal{G}$$-medible
* \[\forall A\in \mathcal{G}, \int_A X\,d\P =\int_A Z\,d\P \]
Esta segunda se puede escribir:
* \[\forall Y\in L^2(\Omega, \mathcal{G}, \P): \E(XZ) = \E(XY)\]
Se denotará como $$Z=\E(X|\mathcal{G})$$, y es única $$\P$$-c.s. Además es lineal continua.
!!Caso Hilbert
En el caso que $$X\in L^2(\Omega, I, \P)$$, podemos definir $$\E: L^2(\Omega, I, \P)\to L^2(\Omega, \mathcal{G}, \P)$$ como la [[Proyección]].
Por [[Caracterización de proyección en sev]] también se sabe que $$Z$$ minimiza la expresión $$\E((Z-X)^2)$$, es decir, es el estimador de mínimo MSE usando solamente la información accesible para $$\mathcal{G}$$
Son valores que explican propiedades (como frecuencia, tendencia central y dispersión) que tiene un conjunto de [[Datos]]
Un estado $$i$$ se dice aperiódico si:
\[
\exists w\in\N: p_{ii}^{(n)} >0 \forall n\geq w
\]
[[Ejercicio Pendiente]]: Esto es equivalente a que el [[Periodo de un estado]] es 1.
Decimos que $$i\in I$$ es recurrente si:
\[
\P_i(\tau_i<\infty) = 1
\]
Con $$\tau_i$$ un [[Tiempo de retorno]]
''Idea''
Un estado es recurrente si partiendo de $$i$$ la cadena vuelve a $$i$$ en el futuro con probabilidad 1.
Decimos que un estado es transiente si no es [[Estado recurrente]], es decir, se cumple:
\[
\P_i(N_i=\infty) < 1
\]
!!Hipótesis
Sea $$E$$ un evn.
!!Conclusión
$$J(B_E)$$ es denso en $$B_{E^{**}}$$ con respecto a la [[Topología débil-*]]
!!Demostración
Sea $$\xi\in B_{E^{**}}$$. Queremos probar que para cualquier vecindad $$V$$ de $$\xi$$ intersecta a $$J(B_E)$$.
Recordando las vecindades de $$\sigma(E^{**}, E)$$:
\[
V = \{\eta\in E^{**}: |\langle \eta - \xi, f_i\rangle| <\epsilon, i\leq k\}
\]
En particular, queremos ver que $$\forall \epsilon > 0, \exists x_\epsilon \in B_E$$ tal que $$J(x_\epsilon)\in V$$, pues esto garantizaría que hay intersección. En particular, notar que esto es:
\[
\begin{aligned}
|\langle J(x_\epsilon), f_i\rangle - \langle \xi, f_i\rangle| &<\epsilon\\
|\langle f_i, x_\epsilon\rangle - \langle \xi, f_i\rangle| &<\epsilon\\
\end{aligned}
\]
Tomando $$y_i=\langle \xi, f_i\rangle$$. Pero usando [[Clausura de imagen de vectorización de funciones]] sabemos que para esto basta probar que:
\[
\forall \beta\in\R^k:\, | \beta\cdot y| \leq \Vert \beta\cdot f\Vert_{E^*}
\]
Para esto, se ve que:
\[
\begin{aligned}
\left|\sum_{i\leq k}\beta_i y_i\right| &= \left|\sum_{i\leq k}\beta_i \langle \xi, f_i\rangle\right|\\
&= \left\langle \xi, \sum_{i\leq k}\beta_i f_i\right\rangle\\
&\leq \Vert \xi\Vert_{E^{**}}\left\Vert \sum_{i\leq k}\beta_i f_i \right\Vert_{E^*}\\
&\left\Vert \sum_{i\leq k}\beta_i f_i \right\Vert_{E^*}\\
\end{aligned}
\]
Por lo cual se tiene lo pedido.
!!Hipótesis
Sea $$J$$ es [[Funcional de evaluación]]
!!Conclusión
$$J$$ es contínuo entre la [[Topología débil]] y la [[Topología débil-*]].
!!Demotración
Sea $$f\in E^*$$.
\[
f\circ J(x) = \langle J(x), f\rangle = \langle f(x)\rangle
\]
Que por definición es débilmente contínua. Por [[Continuidad en la topología inicial]] se tiene que $$J$$ también lo es.
!!__Hipótesis__
Sea $$H$$ [[Espacio de Hilbert]]
!!__Conclusión__
$$H$$ es un [[Espacio separable]] ssi existe una [[Base ortonormal]] numerable de $$H$$
!!__Demostración__
!!!$$\impliedby)$$
[[Ejercicio Pendiente]]
!!!$$\implies)$$
[[Pendiente]]
!!Hipótesis
Sea $$X$$ una [[Cadena irreducible]]
!!Conclusión
Las siguientes son equivalentes:
# Existe un estado [[Recurrente positivo]]
# Todos los estados son recurrentes positivos
# Existe una [[Distribución invariante]] $$\pi$$ para la cadena
Más aún, si alguna de las condiciones se cumple, entonces $$\pi$$ es única, y de la forma:
\[
\pi_i = \frac{1}{\E_i(\tau_i)}
\]
!!Demostración
!!!$$1\implies 3$$:
Sea $$k$$ un estado [[Recurrente positivo]]. Sabemos que $$\gamma^k$$ la [[Medida invariante discreta]] dada por [[Número esperado de visitas a i antes de volver a k]]. Basta demostrar que es finita.
\[
\begin{aligned}
\gamma^k(I) &= \sum_{i\in I}\gamma_i^k\\
&= \sum_{i\in I}\sum_{n\in\N}\overline{p}_{ki}^{(n)}\\
&= \sum_{i\in I}\sum_{n\in\N}\P_k(X_n=i, \tau_k>n)\\
&= \sum_{n\in\N}\sum_{i\in I}\P_k(X_n=i, \tau_k>n)
\end{aligned}
\]
El intercambio de series dado por Fubini. Ahora, usando probabilidades totales:
\[
\gamma^k(I) = \sum_{n\in\N}\P_k( \tau_k>n) = \E_k(\tau_k)
\]
Pero por hipótesis, $$\E_k(\tau_k) < \infty$$. Así, se tiene lo pedido.
!!!$$3\implies 2$$:
Sea $$\pi$$ distribución invariante, $$k\in I$$. Se demostrará que $$\E(\tau_k) < \infty$$. Pero tomando la medida invariante $$\gamma^k$$, por [[Unicidad de las medidas invariantes salvo múltiplo]] se tiene que $$\gamma^k=\alpha\pi$$ para algún $$\alpha>0$$. Luego, de la parte anterior se tiene que:
\[
\pi = \frac{1}{\alpha}\gamma^k\implies 1 = \pi(I) = \frac{1}{\alpha}\gamma^k = \frac{1}{\alpha}\E_k(\tau_k)
\]
Donde se tiene lo pedido.
!!!$$2\implies 1$$: Trivial
Falta la fórmula para $$\pi$$. Pero ya se tiene la siguiente medida invariante:
\[
\pi_i = \frac{\gamma_i^k}{\gamma^k(I)} = \frac{\E_k(\tau_k) }{\gamma^k(I)}
\]
En particular:
\[
\pi_k = \frac{\gamma_k^k}{\E_k(\tau_k) } = \frac{1}{\E_k(\tau_k) }
\]
Lo cual funciona para cualquier $$k\in I$$.
Proposición es el título.
Por contradicción, sea $$X$$ es [[Cadena recurrente positiva]] con $$\gamma$$ la [[Medida invariante discreta]] infinita.
Entonces por [[Existencia de estado recurrente positivo]] se tiene que existe una [[Distribución invariante]] $$\pi$$.
Luego, sea . Como se tiene que [[Unicidad de las medidas invariantes salvo múltiplo]], se tiene que $$\pi$$ es también infinita, pero eso contradice que es distribución.
Por lo tanto, se tiene que $$X$$ no puede ser recurrente positiva. En particular, hay dos casos:
* $$X$$ es [[Cadena transiente]]
* $$X$$ es [[Cadena recurrente nula]]
Se dirá que existe un [[Hiperplano]] cerrado de separación entre dos conjuntos $$A, B\subseteq E$$ evn si es que existen $$f\in E^*, \alpha\in\R$$ tales que:
\[
f(x) \leq \alpha \leq f(y); \forall x\in A, \forall y\in B
\]
Si la desigualdad es estricta, esta separación se apellida fuerte (de otra forma, es una separación débil)
''Hipótesis''
Sea $$\mu$$ una medida de probabilidad sobre $$I$$, y sea $$P$$ una [[Matriz estocástica]] indexada por $$I$$.
''Conclusión''
Existe un espacio de probabilidad $$(\Omega, \mathcal{F}, \P)$$ y una sucesión de variables aleatorias $$X$$ en este espacio tal que $$X$$ es una [[Cadena de Markov]] con distribución inicial $$\mu$$ y matriz de transición $$P$$.
''Observaciones''
Este es un teorema de existencia, no de unicidad. Combinado con su recíproca, se logran caracterizar
''Idea''
Se estudiará el "espacio de trayectorias" $$\Omega = I^\N$$, y la idea es definir una medida de probabilidad que cumpla:
\[
\P(\{\omega\in I^\N: \omega_0=i_0\ldots w_n = i_n\}) = \mu_{i_0}p_{i_0i_1}\ldots p_{i_{n-1}i_n}
\]
''Demostración''
Se considera el espacio canónico con $$\Pel(I)^\N$$. Se define una medida de probabilidad $$\mu_n$$ sobre $$I^{n+1}$$ mediante:
\[
\mu_n\left(\prod A_i\right) = \sum_{i_0\in A_0}\sum_{i_1\in A_1}\ldots\sum_{i_n\in A_n} = \mu_{i_0}p_{i_0i_1}\ldots p_{i_{n-1}i_n}
\]
Estas medidas son consistentes, es decir:
\[
\mu_{n+1}\left(\prod A_i\times I\right) =\mu_{n}\left(\prod A_i\right)
\]
Por [[Teorema de consistencia de Kolmogorov]], existe una única medida de probabilidad $$\P$$ sobre el espacio canónico tal que
\[\forall n\geq 0, \P(\{\omega\in I^\N: \omega_0=i_0\ldots w_n = i_n\}) = \mu_n\left(\prod A_i\right)\]
Definimos ahora $$X_n: \Omega\to I$$ por $$X_n( \omega)=\omega_n$$. Entonces:
\[\P(X_0=i_0,\ldots,X_n=i_n) = \P(\{\omega\in I^\N: \omega_0=i_0\ldots w_n = i_n\}) = \mu_{i_0}p_{i_0i_1}\ldots p_{i_{n-1}i_n}\]
Y esto es suficiente para determinar que $$X$$ es la cadena de Markov buscada.
''
Hipótesis
''
Sea $$H$$ un [[Espacio de Hilbert]], $$K\subseteq H, K\neq \varnothing$$ un convexo cerrado, $$f\in H$$
''
Conclusión
''
La [[Proyección]] $$P_K f$$ existe y es única.
''
Observación
''
Por [[Caracterización de la proyección]] se tiene que:
$$P_k(f)$$ está caracterizado como el elemento de $$K$$ tal que para todo $$v\in K$$ se cumple:
\[
(f-P_k(f), v - P_k(f))\leq 0
\]
Porque la proyección es ortogonal.
''
Demostración
''
Sea $$v_n$$ una secuencia infimizadora de $$|f-v|$$, es decir, $$|f-v_n|\to d(f, K)$$. Probemos que $$v_n$$ es convergente.
Primero se verá que es de Cauchy. Sean $$v_n, v_m$$ puntos de la sucesión. Usando la [[Igualdad del paralelógramo]] se sonre $$f-v_n, f-v_m$$ se tiene:
\[
\begin{aligned}
\frac{1}{4}|(f-v_n) + (f-v_m)|^2 + \frac{1}{4}|(f-v_n) - (f-v_m)|^2 &= \frac{1}{2}((f-v_n)^2 + (f-v_n)^2)\\
\frac{1}{4}|(2 f-(v_n+v_m)|^2 + \frac{1}{4}|(v_m-v_n)|^2 &= \frac{1}{2}((f-v_n)^2 + (f-v_n)^2)\\
\left|f - \frac{v_n+v_m}{2}\right|^2 + \frac{1}{4}|(v_m-v_n)|^2 &= \frac{1}{2}((f-v_n)^2 + (f-v_n)^2)\\
\end{aligned}
\]
Las manipulaciones permiten tener el término de $$K$$, pues por convexidad se tiene que el punto medio de $$v_n, v_m$$ está en $$K$$. Despejando:
\[
\begin{aligned}
\frac{1}{4}|(v_m-v_n)|^2 &= \frac{1}{2}((f-v_n)^2 + (f-v_n)^2) - \left|f - \frac{v_n+v_m}{2}\right|^2\\
&\leq \frac{1}{2}((f-v_n)^2 + (f-v_n)^2) - d^2\to 0\\
\end{aligned}
\]
Por lo cual $$(v_n)$$ es de Cauchy. Como los espacios de Hilbert son Banach, se tiene que $$v_n\to w \in K$$, dado que $$K$$ es cerrado. Así, $$w$$ minimiza a $$|f-w|$$ en $$K$$, demostrando existencia.
Sean $$w_1, w_2\in K$$ ambos minimizantes. Luego, por [[Caracterización de la proyección]], ambos cumplen la desigualdad. Luego, restándolas:
\[
\begin{aligned}
(f-w_1 + w_2 - f, w_2-w_1) &\leq 0\\
(w_2 - w_1, w_2-w_1) &\leq 0\\
w_2 &= w_1\\
\end{aligned}
\]
Por lo que se tiene unicidad.
!!__Hipótesis__
Sea $$W$$ una [[Variable aleatoria]] real con $$\E(W^2)<\infty$$ y [[Función característica]] $$\phi$$
!!__Conclusión__
\[
\phi(t) = 1 + it\E(W) - \frac{t^2}{2}\E(W^2)+o(t^2)
\]
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
Corolario de [[Teorema de Hahn-Banach Analítico]]
!!Hipótesis
Sea $$G$$ sev, $$g\in\Lel\Cel(G, \R)$$.
!!Conclusión
$$g$$ se puede extender a todo $$E$$, y su extensión cumple $$\Vert f\Vert_{E^*} = \Vert g \Vert_{G^*}$$
!!Demostración
Por caracterización de continuidad de las funciones lineales, se tiene:
\[
|g(x)|\leq \Vert g\Vert_{G^*} \Vert x\Vert =: p(x)
\]
Por teorema de Hahn-Banach Analítico, existe una extensión $$f$$, que además cumple $$|f(x)|\leq |p(x)| = \Vert g\Vert_{G^*} \Vert x\Vert \implies \Vert f\Vert_{E^*} \leq \Vert g\Vert_{G^*} $$. Más aún, $$\Vert f\Vert_{E^*} \geq \Vert f\Vert_{G^*} = \Vert g\Vert_{G^*} $$, por lo cual se cumple lo pedido.
La función generadora de momentos de $$X\sim \text{Poisson}(\lambda)$$ está dada por:
\[
f_X(x) = \exp(\lambda (e^x-1))
\]
Es una [[Cara]] propia maximal por inclusión.
!!__Hipótesis__
Sea $$P$$ con [[Representación minimal de un poliedro]] dada por $$I, J$$ y una [[Cara]] $$F$$.
!!__Conclusión__
$$F$$ es [[Faceta]] $$\iff$$ existe una restricción $$i\in J$$ tal que $$F= F_i$$.
Se dice que una familia $$M$$ de medidas en $$E$$ es tensa si:
# \[\sup_{\mu\in M}\, \mu(E)<\infty\]
# \[\forall \epsilon>0, \exists K_\epsilon\subseteq E\text{ compacto tal que } \sup_{\mu\in M}\, \mu(K_\epsilon^C)<\infty\]
!!Idea
Cada toda la masa de todas las $$\mu\in M$$ están en un mismo compacto
Sea $$(\Omega, \Fel)$$ un espacio medible. Decimos que $$(\Fel_n)$$ es una filtración en el espacio si se cumple:
* $$\Fel_n$$ es sub $$\sigma$$-álgebra de $$\Fel$$
* $$\forall n\in\N, \Fel_n\subseteq \Fel_{n+1}$$
La filtración natural asociada a un [[Proceso Estocástico a tiempo discreto]] $$(X_n)$$ es la filtración definida por $$\Fel_n := \sigma(\{X_0,...,X_n\})$$
La filtración asociada el [[Proceso Estocástico a tiempo contínuo]] está dada por $$\Fel_t = \sigma(\{X_s: s\in [0, t]\})$$
''Idea'': La filtración cada vez agrega más información en el tiempo.
Sea $$\Fel$$ una [[Filtración]], $$\tau$$ un [[t.d.p.]]. Se define la filtración inducida por $$\tau$$ como:
\[
\Fel_\tau := \{A\in\Fel_\infty: A\cap \{\tau\leq n\}\in\Fel_n\,\forall n\geq 0\}
\]
Donde:
\[
\Fel_\infty = \bigcup_{n\in\N} \Fel_n
\]
Se dice que $$S$$ es finitamente generado si es que existe $$F\subseteq \R^n$$ finito tal que $$S$$ es una [[Envoltura]] de $$F$$. $$S$$ dotará el apellido de la envoltura elegida.
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
Sea $$X$$ un espacio de Hilbert. Una función $$\cdot: X^2\to \R$$ se le dice forma bilineal si cumple:
\[
\begin{aligned}
(u+\lambda v)r &= ur + \lambda(vr)\\
u(r+\mu s) &= ur + \mu(us)\\
\end{aligned}
\]
Sea $$a$$ una [[Forma bilineal]] contínua. Diremos que es coerciva si existe $$c>0$$ tal que:
\[
|a(u, u)| \geq c\Vert u\Vert
\]
Dado un [[Poliedro]] $$P(A, b)$$, su forma estándar $$P'$$ es un poliedro de la forma:
\[P'(A, b) = \{x\in\R^n: Ax=b, x\geq 0\}\]
Que proyecta sobre $$P(A, b)$$, y se puede identificar con este.
\[
p_{ij}(t) = e^{-q_it}1_{i=j} + \int_0^tds q_{ik}
e^{-q_i(t-s)}p_{kj}(s)
\]
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
Sea $$S\subseteq Z^E\times \R^C$$ un conjunto mixto. Un [[Poliedro]] es una formilación para $$S$$ si $$S = P\cap (Z^E\times \R^C)$$.
Dadaos $$P_1, P_2$$ dos formulaciones de $$S$$, se dice que $$P_1$$ es mejor si $$P_1\subseteq P_2$$
Es una forma de propagar información en una [[Red neuronal]]
```
def fwd_prop(W, b, f, l, x, y):
h[0] = x
for k in range(1, l):
u = h[k-1]*W[k] + b[k]
h[k] = f[k](u[k])
y_hat = g(k[l-1]*U[l-1] + b[l-1])
J = L(y_hat, y)
return y_hat, J
```
Una función $$f:\R^n\to\R^d$$ se dice afín si existe $$M\in\R^{d\times n}$$ y un vector $$b\in\R^d$$ tal que:
\[
f(x) = Mx + b
\]
Una función $$f:I\to\R$$ se dirá armónica en $$i$$ con respecto a $$P$$ si:
\[
Pf(i)=\sum_{j\in I}p_{ij}f(j)=f(i)
\]
Sea $$X$$ [[Variable aleatoria]] en $$\R^d$$ con [[Ley de v.a.]] $$\mu$$. Su función característica está dada por:
\[
s\mapsto \phi(s) = \E\left( e^{i\langle s, x\rangle}\right)
\]
Se dice de una función $$f:I\times V\to \R$$ que cumple:
# $$\forall x\in V, f(\cdot, x)$$ es medible y [[Localmente integrable]]
# $$\forall t\in I, f(t, \cdot)$$ es continua
Es la función de output del nodo de una [[Red neuronal]]. Propiedades que podemos ver de estas son:
* Medibilidad: Requisito básico de utilidad
* No linealidad: Esto permite usar el [[Teorema de Aproximación Universal]]
* Rango: En el caso finito, los métodos de optimización son más estables. ([[Golazo]] de wikipedia: En el caso infinito el entrenamiento puede ser más eficiente?)
* Diferenciabilidad contínua: Permite el uso de algoritmos de optimización, si no lo cumplen, deberían poder ser "arregladas"
Ejemplos comunes:
* STEP: $$1_{u\geq 0}$$
* RELU: $$\max(x, 0)$$
* [[Función softmax]]
Es la función $$f:\R^n\to [0, 1]^n$$ definida como:
\[
f(s)_i = \frac{\exp(s_i)}{\sum_{j\leq n}\, \exp(s_j)}
\]
Esta es una buena aproximación suave del máximo de $$s$$, y forma una distribución de probabilidad.
Es la función $$J:E\to E^{**}$$ dada por $$x\mapsto (f\mapsto f(x))$$.
Corolario de [[Teorema de Hahn-Banach Analítico]]
!!Hipótesis
Sea $$E$$ un evn, $$x\in E$$
!!Conclusión
\[\exists f\in E^* \text{ tal que } f(x)=\Vert x\Vert^2, \Vert f\Vert = \Vert x\Vert\]
!!Demostración
Con el subespacio $$G=\langle x\rangle$$, consideramos $$g(z) = g(tx) = t\Vert x\Vert^2$$ definida en $$G$$, que es claramente lineal, y más aún, $$|g(z)| = |g(tx)|= t\Vert x\Vert^2 = (t\Vert x\Vert)\Vert x\Vert = \Vert z\Vert\Vert x\Vert\implies \Vert g\Vert_{G^*} = \Vert x\Vert$$, por lo cual $$g$$ es lineal continua en $$G$$. Así, se considera $$f$$ del corolario anterior, que cumple
\[
f(x) = g(x) = 1\Vert x\Vert^2; \Vert f\Vert_{E^*} = \Vert f\Vert_{G^*} = \Vert x\Vert
\]
Comparar con [[Función armónica]]
Una función $$f:I\to\R$$ se dirá superarmónica en $$i$$ con respecto a $$P$$ si:
\[
Pf(i)=\sum_{j\in I}p_{ij}f(j)\leq f(i)
\]
El GAP en [[Branch and Bound para PLM]] para cualquier iteración es la razón:
\[
\frac{T.raiz.U - I.z}{I.z}
\]
El GAP cada vez se acerca más a 0, mientras la solución más se acerca a la real.
Esta es una heurística para un [[Programa lineal]] con una cantidad enorme de columnas de forma veloz.
# Sea $$S$$ [[Columnas base]] factible
# Encontrar el óptimo del [[Master Problem]] de $$S$$ y su dual, dados por $$(x^k, y^k)$$. Esto se puede con el [[Método simplex]]
# Si $$y^k$$ es factible en el [[Problema dual]], estamos listos por [[Teorema de dualidad fuerte]]. Para determinar esto, se resuelve el [[Pricing problem]]: \[
\eta = \min_{i\in [m]\setminus S}\, (c-A^\top y^k)_i
\]
Si $$\eta \geq 0$$ se toma el óptimo $$(x^k, 0)$$ y el algoritmo termina. De otra forma, sea $$i$$ el punto óptimo, se considera $$S \leftarrow S + \{i\}$$ y se itera de nuevo.
''Observación'': El pricing problem se resuelve en un conjunto grande. Que este algoritmo sea bueno dependerá de una implementación rápida del Pricing problem, que podría depender de cada problema.
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
Es un tipo de texto que pertenece a un ''ámbito específico''.
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
Este tiddler almacena golazos.
Es un algoritmo para encontrar un [[Corte de Chvátal]] que elimine al vértice no fraccionario $$x$$ de $$P(A, b)$$ (para [[Planos cortantes para PLE]])
# Sea $$B$$ [[Columnas base]] asociadas a $$x^*$$
# Sea $$\overline{A}= (A^B)^{-1}A^N, \overline{b}=(A^B)^{-1}b$$
# Sea $$i\in B$$ tal que $$x^*_i$$ es fraccionario.
# Se tiene la [[Desigualdad válida]]: \[
x^*_i + \sum_{j\in N}[\overline{A}_{ij}]x_j\leq \overline{b}_i
\]
Como es válida y entera, se considera su corte asociado.
Corolario de: [[Teorema de Hahn-Banach Geométrico Segunda Forma]].
''Proposición'':
Sea $$X$$ un evn, $$F$$ un sev propio cerrado de $$X$$ con $$x\notin F$$. Luego, se tiene que existe $$l\in X^*$$ tal que:
\[
\begin{aligned}
l|_F = 0\\
l(x)\neq0
\end{aligned}
\]
''Demostración'':
Basta separar al convexo compacto $$\{x\}$$ del convexo cerrado disjunto $$F$$, que es convexo por ser espacio vectorial. Luego, Hahn-Banach garantiza la existencia de $$f\in X^*, \alpha\in\R$$ tales que:
\[
l(x) < \alpha < l(y):\, \forall y\in F
\]
Entonces, $$l$$ es acotada inferiormente en el subespacio $$F$$, por lo que se tiene $$l|_F = 0$$. Más aún, de la desigualdad de separación se tiene $$l(x)<0$$.
Un hiperplano es un subconjunto $$H\subseteq E$$ de un evn que se puede escribir como $$H = f^{-1}(\{\alpha\})$$ con $$f\in\Lel(E, \R), \alpha\in\R$$.
''Observación'' [[Un hiperplano es cerrado ssi su f es continua]]
Sea $$A\in\Z^{m\times n}$$
!!Conclusión
# A es [[Matriz unimodular]] $$\iff \forall b\in \Z^m, \{x\in\R^n: Ax=b, x\geq 0\}$$ es entero
# A es [[Matriz totalmente unimodular]] $$\iff \forall b\in \Z^m, \{x\in\R^n: Ax\leq b, x\geq 0\}$$ es entero
# A es [[Matriz totalmente unimodular]] $$\implies \forall b\in \Z^m, \{x\in\R^n: Ax\leq b\}$$ es entero
# A es [[Matriz totalmente unimodular]] $$\implies \forall b\in \Z^m\forall u, I\in \Z^n, \{x\in\R^n: Ax\leq b, I\leq x\leq u\}$$ es entero
!!Demostración
1) $$(\implies)$$
Sea $$A$$ UNI y $$b\in \Z^m$$. Como $$P = \{x\in\R^n: Ax=b, x\geq 0\}$$ está en forma estándar, sus puntos extremos son soluciones básicas factibles, es decir, puntos d ela forma $$x=(x_B, x_N) = ((A^B)^{-1}b, 0)$$ para $$B$$ base de columnas de $$A$$.
En particular, como $$A^B$$ es matriz cuadrada maximal e invertible, se tiene que su determinante es 1. Por lo tanto, tiene inversa entera. Como $$b$$ es entero, se concluye.
$$(\impliedby)$$ Sea $$B$$ un conjunto de $$m$$ columnas de $$A$$.
Si $$A^B$$ no es invertible, su determinante es $$0$$.
Si $$A^B$$ es invertible, $$B$$ es base de columnas de $$A$$, y sigue que $$x^j := (x^j_B, x^j_N) = ((A^B)^{-1}e_j, 0)$$ es un vértice de:
\[
P = \{x\in\R^n: Ax=e_j, x\geq 0\}
\]
Por hipótesis, $$x^j$$ es entero, por lo cual $$(A_b)^{-1}$$ es una matriz entera (pues cada columna es entera). En particular, se tiene que $$|\text{det}(A^B)|=1$$.
Así, se tiene unimodularidad.
2) $$(\iff)$$
Sea $$b\in \Z^m$$. Llamando $$P$$ al poliedro de interés, y $$Q$$ al que añade holguras:
\[
\{(x+s)\in\R^{n+m}: Ax + s\leq b, x\leq 0, s\leq 0\}
\]
Observar que $$x$$ es punto extremo de $$P$$ ssi $$(x, b-Ax)$$ es punto extremo de $$Q$$. Así, $$P$$ es entero ssi $$Q$$ lo es.
Sin embargo, notar que $$Q$$ se escribe_
\[
\{(x+s)\in\R^{n+m}: [A|I](x, s)\leq b, (x, s)\leq 0\}
\]
Y de la parte anterior, $$Q$$ es entero ssi $$[A|I]$$ es TU, que ocurre ssi $$A$$ es UNI.
3) Solamente se verá en el caso que el $$P$$ de interés sea [[Puntiagudo]].
En efecto, en este caso todos los vértices x de P son soluciones de algún subsistema $$A_Ix = b_I$$ con $$I$$ subconjunto de n restricciones activas l:i.
Como $$A$$ es TU, $$A_I$$ tiene inversa entera y luego $$x = (A_I)^{-1}1b_I $$es entero.
4) Para esta basta escribir $$P$$ como tal:
\[
\left\{x\in\R^n:
\begin{pmatrix}
A\\
I \\
-l
\end{pmatrix}x\leq
\begin{pmatrix}
b\\
u \\
-l
\end{pmatrix}
\right\}
\]
''Hipótesis''
Sean $$x, y$$ soluciones factibles del problema primal y su [[Problema dual]] respectivamente.
''Conclusión''
$$x, y$$ son óptimos ssi:
\[
\forall i\in[m]:\, y_i(b_i - a_i^\top x) =0
\]
''Nota''
Si el problema primal incluye $$x\geq 0$$, entonces además se agrega la condición:
\[
\forall j\in[n]:\, x_j(a_i^\top y - q_j) =0
\]
''Demostración''
Por [[Teorema de dualidad débil]] se tenía que:
\[
c^\top x \leq y^\top Ax \leq y^\top b
\]
Por [[Teorema de dualidad fuerte]], se tiene que $$x, y$$ son óptimos ssi:
\[
c^\top x = y^\top b
\]
En cuyo caso, por ensandwichear la desigualdad se cumple que:
\[
y^\top Ax = y^\top b
\]
Es decir:
\[
y^\top(b - Ax) = 0
\]
Que es lo pedido.
Individualidad de cada orador, que enriquece la presentación - la información presentada debe ser más atractiva que simplemente leer un informe, y esto se logra por la identidad del orador.
!!__Hipótesis__
Considerar $$(E_n)$$ que formen la [[Suma directa]] de $$H$$, y sea $$u\in H$$.
Sea $$u_n = P_{E_n} u$$ la [[Proyección]] en el espacio $$E_n$$.
!!__Conclusión__
\[
\begin{aligned}
\sum_{n\in\N} u_n &= u\\
\sum_{n\in\N} |u_n|^2 &= |u|^2
\end{aligned}
\]
!!__Nota__
La segunda igualdad generaliza el teorema de Pitágoras a dimensión infinita.
!!__Demostración__
[[Pendiente]]
''Hipótesis''
Sean $$u, v\in X$$ un [[Espacio de Hilbert]]
''Conclusión''
\[
\left|\frac{u+v}{2}\right|^2 + \left|\frac{u-v}{2}\right|^2 = \frac{1}{2}(|u|^2+|v|^2)
\]
''Demostración''
[[Ejercicio Pendiente]]
El informe es un tipo de texto o documento que sirve para ''dar cuenta'' de actividades de ''forma expositiva''
\[
\int_\Omega \frac{\partial u}{\partial x_i} v \, dx + \int_\Omega \frac{\partial v}{\partial x_i} u \, dx = \int_{\partial\Omega} uv \, \hat{n}_i\cdot dS
\]
Es un algoritmo para calcular:
\[
I := \int_\Omega f(x) m(dx)
\]
Para esto, simulamos $$(X_i)_{i\leq n}\sim m$$. Así, por la ley de los grandes números tenemos que:
\[
I_n := \frac{1}{n}\sum_{k=1}^n f(X_k) \to I
\]
Casi seguramente. Si $$f(X_1)\in L^p$$ con $$p$$ finito, también lo es $$L^p$$.
Así, consideramos la aproximación dada por $$n$$ grande. Si $$f\in L^2$$, podemos entender el error como tal:
\[
\E(|I_n - I|^2) = \frac{1}{n}\mathbb{V}(f(X_1))
\]
Si uno desea que la precisión sea $$\epsilon$$ con probabilidad mayor a $$1-\alpha$$, entonces se elige:
\[
n \geq \frac{\mathbb{V}(Y_1) z^2_{\alpha/2}}{\epsilon^2}
\]
El costo de ejecución del algoritmo estará dado por $$Cn$$ con $$C$$ el costo de simular $$Y_1$$. Luego, el mejor algoritmo de simulación será el que minimice $$C\mathbb{V}(Y_1)$$
Para estimar $$\mathbb{V}(Y_1)$$, se realiza primero una simulación piloto antes de calcular $$I$$, usando el estimador insesgado:
\[
\sigma^2 = \frac{1}{q-1}\sum_{k=1}^q (\bar Y_q - Y_k)^2
\]
En la práctica, se elige $$q = 10^2, 10^3$$, que debería ser rápido de simular.
''def. RAE: ''Disciplina científica que se ocupa de crear programas informáticos que
ejecutan operaciones comparables a las que realiza la mente humana, como el
aprendizaje o el razonamiento lógico.
''def. Russell & Norvig: '' Entender entes inteligentes para aprender de ellos y
construir máquinas inteligentes: interesantes en sí mismos y útiles en una infinidad
de aplicaciones
El rango intercuartil es la difencial entre el tercer y primer [[Cuartil]]
Es un conjunto de elementos de los posibles en una tabla de transacciones.
{{tid_table.png}}
Ejemplo: $$\{\text{Bread, Milk, Diaper}\}$$. Notar que no es un dato en particular, pero si está contenido en los TID 4 y 5.
Si su cardinal es $$k$$, se lo llama a veces k--itemset.
Un [[Itemset]] se dirá frecuente si su [[Itemset support count]] es mayor que un parámetro $$m$$.
Es el [[Itemset support count]] normalizado por la cantidad de datos en la base.
Frecuencia con que ocurre un [[Itemset]], es decir, cantidad de [[Datos]] que tienen a este como subconjunto.
{{tid_table.png}}
Ej: $$\sigma(\{\text{Milk, Bread, Diaper}\})=2$$
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
Este es un algoritmo de [[Clustering particional]], que necesita una métrica de distancia entre los puntos.
Input: Un conjunto de [[Datos]] con [[Atributos]] numéricos y un parámetro $$K$$ que será el número de clusters.
```
Elegir K puntos como centroides iniciales
while centroides no cambia:
asignar cada punto a su centroide más cercano
recomputar el centroide de cada cluster
```
iVBORw0KGgoAAAANSUhEUgAABFwAAALNCAYAAAASk3UVAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAP+lSURBVHhe7N0HuGRVlTZgdVTA0Zn5DYMIjgw4pjEgKP6AiETJSM4g0ApIBhUEEQVBkmJCBEGyCJJTN0kMICAKkqOA5BxEwDRz/n437P6LS3X3DXWr6t77fc+znu5bdcI+p/Y5e61vf2vtlzVBEARBEARBEARBEARBRxHCJQiCIAiCIAiCIAiCoMMI4RIEQRAEQRAEQRAEQdBhhHAJgiAIgiAIgiAIgiDoMEK4BEEQBEEQBEEQBEEQdBghXIIgCIIgCIIgCIIgCDqMEC5BEARBEARBEARBEAQdRgiXIAiCIAiCIAiCIAiCDiOESxAEQRAEQRAEQRAEQYcRwiUIgiAIgiAIgiAIgqDDCOESBEEQBEEQBEEQBEHQYYRwCYIgCIIgCIIgCIIg6DBCuARBEARBEARBEARBEHQYIVyCIAiCIAiCIAiCIAg6jBAuQRAEQRAEQRAEQRAEHUYIlyAIgiAIgiAIgiAIgg4jhEsQBEEQBEEQBEEQBEGHEcIlCIIgCIIgCIIgCIKgwwjhEgRBEARBEARBEARB0GGEcAmCIAiCIAiCIAiCIOgwQrgEQRAEQRAEQRAEQRB0GCFcgiAIgiAIgiAIgiAIOowQLkEQBEEQBEEQBEEQBB1GCJcgCIIgCIIgCIIgCIIOI4RLEARBEARBEARBEARBhxHCJQiCIAiCIAiCIAiCoMMI4RIEQRAEQRAEQRAEQdBhhHAJgiAIgiAIgiAIgiDoMEK4BEEQBEEQBEEQBEEQdBghXIIgCIIgCIIgCIIgCDqMEC5BEARBEARBEARBEAQdRgiXIAiCIAiCIAiCIAiCDiOESxAEQRAEQRAEQRAEQYcRwiUIgiAIgiAIgiAIgqDDCOESBEEQBEEQBEEQBEHQYYRwCYIgCIIgCIIgCIIg6DBCuARBEARBEARBEARBEHQYIVyCIAiCIAiCIAiCIAg6jBAuQRAEQRAEQRAEQRAEHUYIlyAIgiAIgiAIgiAIgg4jhEsQBEEQBEEQBEEQBEGHEcIlCIIgCIIgCIIgCIKgwwjhEgRBEARBEARBEARB0GGEcAmCIAiCIAiCIAiCIOgwQrgEQRAEQRAEQRAEQRB0GCFcgiAIgiAIgiAIgiAIOowQLkEQBEEQBEEQBEEQBB1GCJcgCIIgCIIgCIIgCIIOI4RLEARBEARBEARBEARBhxHCJQiCIAiCIAiCIAiCoMMI4RIEQRAEQRAEQcfxP//zP80zzzzT3H333c3NN9/cXHPNNc15553XnHXWWbHYi+zCCy9sLr300uaGG25o7rnnnubxxx8v/ed///d/X+hNQTA2EcIlCIIgCIIgCIIRQWD83HPPNU888URz++23N1deeWVz/vnnNz/84Q+b733ve813vvOd5tvf/nZz9NFHNyeccEJz4oknxmLFfvKTnzRHHXVUc+ihhzbf+ta3Sn857LDDmtNPP7359a9/3dx0003NI4880jz77LPNP/7xj5AwwZhCCJcgCIIgCIIgCIYNAfDf//735tFHHy1ky5QpU5of/OAHzW677dYst9xyzSqrrNKsscYazXrrrdccdNBBzZFHHtkcd9xxsVgxJNz+++/ffP7zny/9ZOWVVy59Zssttywk3amnntpcf/31zcMPP1xIlyhfgrGEEC5BEARBEARBEAwLf/3rX0v6x8UXX9zsvffezeabb958+tOfbr7xjW80P/3pT6epE55++umy7d/+9rdYbLqGUNFf7rjjjuaiiy4qapedd965WXfddZs99tijOfbYY5v77ruv+ctf/vJCDwyC/kYIlyAIgiAIgiAIhgQKAwSKuixnnHFG8/Wvf7058MADS4BMkaAeB1XCQw891PzpT38qtVwEybHYjExamv5CLfWHP/yhufzyy5vJkyeX1LRvfvObpY9RT+l3tonSJeh3hHAJgiAIgiAIgmDQkNIhhUiKx8knn9x85StfaT7zmc+UGhxUCUiWp556qpAsAuhYbLhGGUXxcu2115bUoz333LPZZJNNSr+77rrryjb6YxD0K0K4BEEQBEEQBEEwKFAUUCBI+fjc5z5X6m5IJbKyjIK5SJZYbLRMOtEpp5xSUte22GKL8v8oXYJ+RgiXIAiCIAiCIAhmikq2WDnGqjI77bRTc8QRR5T6LVQITz75ZFEkxGKjZcgVqWpSjCirttpqq9IfH3zwwZAuQV8ihEsQBEEQBEEQBDOF1I0777yzrCyjkKmA92c/+1nzwAMPlBSiThryhmJGQV7/snbbxf7/vfIva7fNaJjfBgEitaxbv4/re+yxx5pf/epXJYXNikbHH398c/XVV5eaQiFdgn5DCJcgCIIgCIIgCGYIZIuipt/5zncK0WLJZ0tAUxZUQqRTJpBXB+bee+9tbr311kLySCVpJV8GY7av1u77frDhtHHg9ggI9wfxgQBp3XY0zQpUV1xxRXPeeedNSynrlrlO/e/ss89uPvvZzzZf/epXS1/RR0O6BP2EEC5BEARBEARBEMwQgvqbb7652WyzzcqSz2eddVZz//33lyDfd5006UmC+V/+8pdlienvfve7RUlTCYV2+ww0RJAA/I9//GNpZ7ttemmuhTKotnEw99F9sa36OXfddde0zxFSZ555ZvOb3/ymHK91n9EyvwOiRfHan//854VwabfdaJnz+11vvPHG5oADDmi+9rWvNT/60Y/KfVTQOQj6BSFcgiAIgiAIgiCYLqhbBPLnnntus84665S6LTfccEMhAEbDqFss+2s54Pe85z3Ndttt15x22mmFRBFQt9tnoCEkrJhkJRuERLttemkUKbfddlshlazAg3xpt12r2ea3v/1tc+WVV5b7Uz+/5ZZbmiOPPLLU0nGs1n1Gy/wWJ5xwQukLl112WSFc2m032qav/PjHPy6kyxe+8IWielFcNwj6BSFcgiAIgiAIgiCYLtTO+OlPf1pSN4455piSRiLgFuyOlgngBc8f/ehHm69//evN7373u7bbTc8uv/zyZtKkSUWJg3Rpt00vjTLjwgsvbPbaa6+iEkEQtduu1dwP6iJKDoqW+vndd99dSBjHpH5p3Wc0DPHjPAonH3744YV8QyC127YbhmRCuqy55ppFCeV+BEG/IIRLEARBEARBEARtoR4GNcXBBx/cfOpTnyoKC8oMQfdomtQZqppKuCAU/vCHP5SAmrJCodSf/OQnpYDvnnvuWf5PLSLNBNliFZsPf/jDzS677FJUGIqsug7fnXHGGYWwOOecc5rzzz+/EBkIHYoaSpFjjz22OfHEE8s57Webb33rW4V08n9Eg/Mhc6RZUZaceuqpzfe///3mpJNOai644IJCfjifFXROP/30ck4KIds6n3PtsccezWqrrVaW1j766KMLMXTppZeW7RxHO9jvf//7cqxf/OIXzdprr12WRP7Sl75Uzk/FY3u1dXzvvO6BIrL+dl6EjuWTtdGxmN9RqhYCzX1wj775zW8WAsg9dpx2vwvz20hfqr+B3wXh0m7bbhgFk2u1PLnfwD2hygqCfkAIlyAIgiAIgiAIXgJki8B1ypQpJWVDPRVKDOoTQf1omvNIlUG47LPPPiXAR/QgDvbff/9StBfJ8IMf/KAsDYyUQb4otIt48d273vWuko6ELEIiqDlif/tQiVBnHHLIIYV8QIQgD3bYYYdC4Pj8kksuKfsgPzbeeOPm29/+diFPvve975U2IGEQONKdBPqf+cxnConhb4RH3df5nKua77Tjc5/7XPOJT3yitN+KO0gf+1BraJ97rhiszxAxiJwVVlih2XDDDcu+iBRki3ZvvfXWhYBBprh3CCXHQYogbRzPNdkeIYFIcl7HR7a4X+7plltu2Rx22GGFKGr3uyBWECza4viuFQHjvrfbvhumTa7bte66667lep977rkUzw36AiFcgiAIgiAIgiB4Cf7xj3+UpXYRC/vtt1+z7777lnQNhIsAezRNUE9lscgiixTlgjQmnyMVtOWTn/xkIRoU16U6sUz1TjvtNG1/hMDHP/7xooa56qqrymfaT1WCMEFWIEeQJNQsSCUkxJJLLlmIByQHgse+/r/wwguX/ahQKFS0YYsttiiEijYhLRZbbLHSJvtIc0EUOR+SBTlBQbLJJpsURYnzUZxsu+22hQxxLoZY0nbXRUnjug488MBCIkndcY2Oo831WhEoiCnnsD/yQT0TJJR2UIAghhyPMoaKx+cKIFMAIaSQNGqxuC/rr79+ua56/Fbz22tbJXNcSzf6w8zMb4I4U2Poy1/+ciFi9N8g6DVCuARBEARBEARB8BIgW55++umi+EBOIBOoGbphyIfrr7++EB3SXCgufC5Fhrpk++23L8G+tCPpJBQeCIS6P5IEAYIUEIj7TE0XdWiQMBQv1B5UMdQj1CyOs/rqqxeCA3GBqEBeIHQWXXTRQpwggnyOYEHMIF6QH8iM5ZZbrrRJmpEUoG222WZawV/1WixhLIXHsa3sg9ywjePaB2mAGHEMKUeILkoWRJH2Ikl23HHHUsfFNdRr1T6Ei2txXOeRduR3c0zt1R4kzwYbbDCtJg7FktV9pEohXHzmniy77LIlxakev9XqsaRsOU/9XXpt2qUv6BeILr+5/hsEvUYIlyAIgiAIgiAIXgJpGY8//ngJ+qkgBOwC226Y4JmaBOGCOECK+Bx5IdWGUgPRgJihTKE2kWpT99fWxRdfvKSXUMf4jJoFMYOsQGwwyhEEAhJEWtG6665b0msQLfbxL/LmYx/7WFGi1OMjTrQL+UENgnBZaaWVSpuQHMgR6hUpStKQ6vkQIogk14NwkdYjhYd6RTvsjyRCfFTChcIHYeN7ChfXj1ypbdE+hItrRcy4R8gn6hr3xzb2pZxxjxAuCAmECzJH+pFtahqU+4ZQqsdvNdemts1BBx1UjlfvU7+Y3wQh5/7pv0HQa4RwCYIgCIIgCILgJaBuUR9Diongn5rB6jTdsKoSqYQLUsXn0nAE1NJGkBPqvFCmUHRQb9T9ES7qoyBJkCqIB6k41A/II0SBfRlyRxoQsqKVcHEcnzsWwgUJ4TPH8n9ECDWK4F6azoorrli2RUpIh0KM2AY5g4BxHtdlf+SLOi5qpqit4nyIGW1DlPjbOaQGuX7X6jMpQEiSmobkXNQwUq+cx72QYoRMocCxj+2QTpQ4u+++ezmu67IN8gXh0nqtUrGobuq9bDXXhTTSDgSVY7fbrlem3WrtUGTpv0HQa4RwCYIgCIIgCILgJXjiiSdKCo2VdJAVVCAC/NE2xAQFCKXGu9/97mlpQMgD5IQ0nE033bSoPJBAUp0sCbz88ssXEoAyBvFAHYIYoMZA2NSCuV/84hdLKo3/IxuoPZAW0mSWWmqpso/UJW3xHVJlwQUXLKoaqhTEhW0F986vnom0J6QHpQsyRZ0TqTrqvtgPSULJ4liuw71E8LgO39vPOd1naUgIFcSSIrDai4zRFsSOVY1so80IEtfx3ve+t6Q3OQbiBGnkWFKDXLd7pS3UM46FlFlllVWKwsb9obBB6rim+eabr9wfaVYIlUrsMPfRORQJdp2t3/WDIZ1ct3v62GOPpY5L0HOEcAmCIAiCIAiC4CV49NFHi6JBXRMKFzU+kCGjbVQgiAyB/RprrFEUHkgDRIK0GeQG9Qbyw3ZUL8gV6UJIDMoYZAAiAgmBpKFyQcY4jjQgnyNA1CFBZEiPEaxTyqjhohCutiBGbDOQcEGmVHIDMURRoSCu7yrhoi3SjZzPMZE01DBSdxjVyVe+8pVCECBEtAHxQnWCKLE9xQvFBmLFuZAsdfWiSrjY1nLRrtffCCdtqoVtXbN2uD6pSe4DQ9o4jvtgHySM7ddbb71yXvesKoCqOSfyy/V3qz8MxbQNgaQ/PPTQQ83f//73F3pzEPQGIVyCIAiCIAiCIHgJHnjggUJGSCkSgCMJkCGjbcgKpIlaIYgBahf/V/vEv/6mtNA22/nX3wgCpAS1BvN/21p9h6rEZ1J7HIMCxndIA8f1PQLE50gcx9QW5AkVzEILLVQCedsw98J+CCnHcA6pNvZzDtfgO/9H2mib89X2+Y45l30dE+nhWM7JtNPf9ned9nNO31Gf+K5+7z753PEdt16T75h21XM7j++0yXGc3z51+3osf7uO1t8GIWMJa/s4Tut3/WCV/FI8V/9N4dyg1wjhEgRBEARBEATBSyBgFfQjXKSjtJIZo20IAwE9ogFp4f8+96+/mW2qtX7Weoy6b+vnA49Rt62f+7f+n+pEGo80G8oaZASyxfet52ndt/VcrH7Xer7W76r5ux6rWv27dT9/12PV792ngdvV76oN/K62yXet27c7VjUEjz5R9+k3o3aSThXCJegXhHAJgiAIgiAIguAlqISLFBOqASoJQfhEMIQChYcUHKqOtdZaqwTy0m4QLq2ER6x/TMqXFKwQLkG/IIRLEARBEARBEAQvQSvhgmyoqS0TxRAr0m7UXVHEVroKwoXSBxnTbp9Yb02tGvWGQrgE/YIQLkEQBEEQBEEQvASKjiIdFK5V9FUNEn9PJJNCQ9mjxkqtqdJuu1h/GDWSIsU77rhj8+CDDzZ/+9vfXujNQdAbhHAJgiAIgiAIguAlsEqRoqkrr7xyWTlHUVjqjtjzVuuZKCDL2m0T665Z1toKVDvvvHPzyCOPZFnooOcI4RIEQRAEQRAEwUvw1FNPNX/84x+bZZZZpixfrIAstUfseUO2UP24L2q9tNsm1l2TTmQZ8S9/+cvNE0880fzv//7vC705CHqDEC5BEARBEARBELwEzz77bFEJbL755kU1cMopp0xbFrnfzWpCRx99dPPZz362mTRpUrPrrrs2++yzT/n3U5/6VPOTn/ykkCTt9h2MWT769NNPb7bbbrvmS1/6Uqlx02674Zrloqv52/Wcc845zWGHHVb+tZzzwH1iVzR777136atSi5555pkXenIQ9A4hXIIgCIIgCIIgeAn+8pe/NE8++WSzww47lEBWukZNn7n88sv72hAiP/3pT5tPf/rTzcYbb9x87WtfK+1HjHz+858vq9kgXNrtOxj71a9+1Zx11lmFcPnCF77Q7L///m23G44hWRTptcQx9YzPFOs988wzS/vPOOOMUsx34H4T2dwzJNQ222xT1FgIKv03CHqNEC5BEARBEARBELwECo5SCey2224liN13331LCk2r+qJfDSGCrKDOQboccsghzc9+9rOy4tChhx5ayBIkRrt9B2vnnXdes8suuxQCByHVbpvhmLZvu+22ZXljKyP5DDlEUfPNb36zEDHq6QzcbyKbe+b3/OQnP1kIsFtvvbX5+9///kJPDoLeIYRLEARBEARBEAQvgfoX//M//1PSMyhEttxyyxLoU1cIcPvZtHPKlCnNZz7zmWazzTZrvve97zVnn312M3ny5EJcIDB+/OMfl3ofVrRBJrlOZAaiY6eddmpOOOGEYnXlG+Y7x6nkjeDetl/96ldLqs8Pf/jDQu7Yz/kRO9Qq3/3ud5vjjjuutI36gsLGsZzXv/ZzX6VtHXzwwc3cc89dihUjc4488shCEn3/+98vKh3HrL8DtYvjUr6oX1LJJNennUcddVRJsfHdscceW473xS9+sRBE7oXrGHjvxqL5LdxD6WKu9c9//nPqtwR9gRAuQRAEQRAEQRC8BAJWJqBFNmy00UYlmKccEez3syE1EArULeuvv35R6VjaGvHxgx/8oDn//PObE088sRAegnRFVv2NwBCwS6OSkqQOjO2ZtCEEjWMgbdwLBAbChgIIwWIb5AuCBwEjDQgRsP322xfiQ9t8jvzQHuQMMksqjM8RPsccc0zzX//1X6Xd2nfSSSeV2i1+g913370QRc6lfQgWBE1tJ/JGrRrXwZA9CKfPfe5z5f/Ouccee5TrQ+TU9KSxbEgj9wT55XdEZlFnhXAJ+gEhXIIgCIIgCIIgmC6sVIQYWGONNYrag3KCwqKfTXoJAkPB3NVXX72QDtQuaq4gR5Ax1CSUITUNxd9IFJ8hJJARFCWIDgE9wgRx4TukiO/9jUxxTKoSRXm32mqrQswgWxwPKUKt4tzahhBAwiBTKGGkJX384x8vhA8ix3Hf9773lYK/RxxxRGmrfxEpG264YTmebbQTuWPJbn8jcQ444IBm3XXXLb+TdCT7LbbYYs0666xTSBvnc151bexHHTPw3o01Qz5R/6y66qrl91I8Nwj6BSFcgiAIgiAIgiCYLqQVXX311SU9RcCvjogUDsqCfjUqHGTHpptuWsgFqhUrEzHXQeHCbLP22ms3W2+9dXPQQQcVFQij/kDaIJcQJPZBbiBBHBN5gaChbkGkUI04L8LFNv5GgtjfsZZbbrnyeW0bYoUqxbkQNPPNN185h8/VhvngBz9Yjo0gsY9tESWIEwobf2+wwQaFrKFq0VbHRTwsvPDChZxBPiBhllpqqWaLLbYo3zuW89hPe5A2Phur5roRUO47Uks/Veg5CPoFIVyCIAiCIAiCIJgupGbcd999ZTWY9dZbr6RtUE4I4BllR78Z0gLhsckmm5RUKGQK4sRniBKpO/6POKJSQXpQwCAgEBUULRQqyAmEBtJE6g81i2NK35HSQ+2iwK174ryIDOSG1B8KE+dAziy77LLlc9tQlVC4OBdCBGEz//zzF/JFuyhaEDCOTaliH+dHoiCHanv8FpQ5CDC/g2uWXoRwoV5xHYiZJZdcshQPRjA5lvPYT3sQUT4bi+Z6EFrSxWpa11133dU899xzL/TcIOg9QrgEQRAEQRAEQTBDWGL30UcfLWoRwa2iq1J2pHNUtUg/GdIC4aE+C1WOtCB/+xzJgkihdkFSIGMQLogJKhJkCFLG9/ZDotSUHuSMY0qxkgKELKGO+dKXvlSOpSCt4sIUF2qvIHkoUpZZZplCetgGQYIQ2WuvvQqx435+6EMfKgSJ7d1XBIxjI0zs4/wInzXXXHOaEofCRcFeaUT1utSOWXTRRUv6k30QM64LmeQ4zPW5Du3RFp+1u4f9bNqMbKEAki7mXvl9qVsosoKgXxDCJQiCIAiCIAiCmUIge+WVV5ZgnrpC4C/gFegL+PvJqFOoR9Zaa61S2wMBgqTwGSJi5513LmSKbalQfP+Rj3ykkBq2c022owRRE0WxWSSF4N6129d2asRQvCBNnJPChNpFwVukCpIGmbP44ouXbaUMOQ6SRqFchAcyZMEFFyz3U/u0Z7XVViuECPVGJX4U6F1xxRXL/bedz1yHtiNmKGmQL1KFfO+3oaJZeOGFC+lUFT4+o25B2CDOtHvg/et3Q4i51+6z++J6LWGuj6ZYbtBPCOESBEEQBEEQBMFMIZC9//77S4COSEA0+FewrxYKZUa/WC0YS22CJKm1TpANyBPECpWKbbWdMkS6kHogCA6f+9e2SBfEhH0Uw/U31QqCwz5SihAjCA3FdJ2D4gLxYh+qGQSLvx3T9z6nTpHSo94LAsQxEQdIGSSKNvvXMbXD/9WPQbTYzucIGwSMY9rfv45JXSMdyf8RRNrpd5IGZTvnRgRZVamqasaC+a1cAzIL0YKsQr5ce+21zd///veQLUHfIYRLEARBEARBEASDguV2r7/++lJrRJFSgTxVhQAfUSAglurRa9M+KTpqqVCB+BdpwZAnyBdpRXV7RAgCRZoQssZnrkdKDuWJfRAV0nEQHogZ/0eWIFIQAPatpIt0ofq5YyBGkDpIEOdC9vhekVvHdQ7HrKsL+T8iRV0S7fS9Y0pZqsehVkGiOJbrQra4BoSE65eu5NiIG/sioJxb/RkFgN0T+2h3vQ/9avoVos/9dY0ILEt+I7puvvnmom4Jgn5ECJcgCIIgCIIgCAaNf/zjH83TTz9dFAeUEqusskpRfQjkK/GCDIjFOmVIKClcCCzLeCsojJRSzBkJGAT9ihAuQRAEQRAEQRAMGtI2pG/cc889ZbUYShJKF4Z4kcYiOKawkO4hWI7FhmIUOpQ3VcFDSaTmjVQtah+rMt14443Ns88+myK5QV8jhEsQBEEQBEEQBEOGQPfhhx9urrnmmpKiolireilqjahbIm1HGot6I8gXAXQsNiNT6Ney2dKopFtJlVI3R70ZfUvB4Ysvvrh56KGHomwJxgRCuARBEARBEARBMGwgXh5//PHm17/+dSFXrK6z0korlaWQLWOsqKxlkwXP1AkUMLHYQNM3FBO24pOCzEsttVRJH/J/5N3Pf/7z5o477shKRMGYQgiXIAiCIAiCYYLTzwQAf/3rX4u8XW2Lxx57LBaboT355JPNn/70p+a5554r6TljOYjUbmqDRx99tLnzzjubSy+9tNTdqKvo1JV9PvWpT5UVcyyzPBZsnXXWKcszW4r5Yx/7WPnXMtPtto2N3OoSz9RSCjErSiy9iKJFYVyqlj//+c8hW4IxhRAuQRAEQRAEQ0QlWgTLTz31VPPggw+Wmddbb7211BUw088uu+yyWKytXXXVVc11113X3HLLLc3dd99dgkkEDOIC+TIW4ZlQUFdQbPnom266qTn//POL6oWCQaFTyx9byncsmFVwkC7LL79889a3vrVZbLHFCjHQbtvYyM0S3lRQdZnxq6++utQJQk7W5yJkSzDWEMIlCIIgCIJgiOD4/+Uvf2n+8Ic/FJm7mVhLvFqi1LKtq666arP66quX2fBYbKBJsxFgKgIqfcJsviDzF7/4RamJQikV9B6e8z/+8Y/Nz372s2b++ecvv9Pvfve7BP5BEAwaIVyCIAiCIAgGCUGWdJDf//73JUCWJqFA6P77719WZbEiy0UXXVRm9a3eIlCLxQaaPsImT55cCoXW4qBSKfbbb7/yGXUIBRXFSNAbeN6feeaZotZBqCJT99prr0KKIVyDIAhmhhAuQRAEQRAEM4EZbcHvI488UuoJSJEQHEuRUJ/CihoCaLPfalg88MADJUVEYBaLDTR94957721uv/320mfUO9GHKCh23333UjwUeXf99deXYF9wH0VFb1Cf/TPPPLM861RJ0gWlEYYMC4JgZgjhEgRBEARBMAMIdAVcUgvUFVDPwcoZe++9d6nBgVwxC24bJjiOxYZitdjyE0880VxyySVF8aKAqCVwLZOLnBHch3TpDdx3v1ElXbbbbrvml7/8ZfnNgiAIZoQQLkEQBEEQBNOBIFch0ylTppQg2PK26rVIBVHsVHqR7xEuTFAWiw3Vav9RbJYCRt8S0EtVE+DvscceRTmleCjFRdB9eBfcddddReFmmeKDDz64pIeFCAuCYEYI4RIEQRAEQTAdmMG+9tprS3Al8JXuQYFgRSKrEwmQY7FO2+OPP97cd999zcknn1yWVaaoOPvss5sbbrihfB90H0gV5KpC2Qgw74Pvfe97hSCjUgqCIGiHEC5BEARBEARtIMCyXK/lbLfffvvm61//eimW++ijj5bAKxYbbVMziNJFTReqiiOPPLKoLILewDtB2qAlvaV7rb322mVlKb9TlEdBELRDCJcgCIIgCIIWCKr+/ve/N1deeWVz3HHHNZ/+9Keb0047rZAtip1SH0jtiMVG26rSRYqR9CLKCivlULn87W9/e6HHBt2E94M0MKlF0gwnTZrUnHvuuYWcDYIgGIgQLkEQBEEQBC1Atgh0f/KTn0wLcn/zm9+UwqU+j8W6aRRV0lasWmTJ6C222KK5+uqryyo5gv+gN5BWeN555zWbbbZZ853vfKcsBZ96LkEQDEQIlyAIgiAIghdQZ69vvPHG5ktf+lJJG/jVr37V3HPPPSXwjcV6ZVKJTjrppGannXYqKUZIQORg0Bv89a9/LaqWffbZp6jgKI8UPka6BEEQVIRwCYIgCIIgeAHSNARRCpVSt/zoRz8qy0FTE1AZxGK9Mulsiub+/Oc/b1ZdddXm8MMPLwVco6joDdRsUc/l9ttvb77yla80m2+++bQaO8iYIAgCCOESBEEQBEHwAhQqvf7665sdd9yx+cEPflCWf77//vsL4SLgjcV6aYJ5pMtGG21UVC4XXXRR0lh6CPfeO8NqUtK9dtlll0KIUcSliG4QBBDCJQiCIAiC4AU88MADZdURq48Ioq677rryWSzWD4b8E8zvtddeZdWsb3/720VNkeC+t6BA8t5YeeWVyxLyVpailgsRFgRBCJcgCIIgCIIXcMUVVzTHHntsUbgIoCgKFMuNxfrFEC5nnnlmc8ABB5R6Lgrr/uUvf3mhBwe9AMIL6YKklVrkd1EHSj2oIAgmNkK4BEEQBEEQTIWg6cQTT2y+9rWvNd/61rfKstDqtwhwY7F+MTWGFHJWZ2jLLbds7rzzzpLWEvQOlCyW6r722mubPffcsxTbPuyww8pvFTIsCCY2QrgEQRAEQTDhIWCy4otUjY033rg5++yzS60MhEss1m8m1Q0p+KlPfar57W9/W9QVQe/g/YGwRa789Kc/LUvJK2xMMffkk0++sFUQBBMRIVyCIAiCIJjwUPxS0LrrrruWINaSu7fccktRD8Ri/Wa33XZbWaVom222ac4999xCwgT9AWojJJi0IqsX/fjHPy6fpc5O0GsgBp966qnmvvvuK6St98Zjjz2WOlCjjBAuQRAEQRBMeFC3kP/vvPPOhXCRGnDrrbeWZXf70SxFe8kllzSnn356c+ihh5aaHgLv888/vznrrLOaCy64oHwvMLdtu2MMNNshmQa7favddNNNze9///vm6KOPbk455ZTmvPPOa3tuf9tWG0866aRSXNSqUEyazO9+97vy/9Z9ZmSCBioCK8O0+368mnt7wgknNF/+8pfLv/4O+gN1afmf/OQn5X1i9SL9+plnnkkR3aCn0P+efvrpUoB7ypQpzXHHHVdW45NKa7zwbn7kkUdKelwlYeyTfjsyhHAJgiAIgmDCg3MpaDUrvckmmxTiAeHis34z7dK+GnBbGeWrX/1qKaL6ne98p6RFWSlFwKdwp23bHWeg2Q7RNNjtW+2qq64qpIflir/whS+UdBfO+8Bj+du26uRsv/32zTHHHNNcfvnlhTTh/COM/N26z4zs0ksvbc4444zmqKOOavv9eDYkm1WKEG7S34L+gWK5lEiKb2+77bbN8ccfX5QElHRB0CsgTp577rlCqvzoRz9qNttss2axxRZr1lhjjbLqmaLP3iUPPvhgUWUZF01GVOIlGB5CuARBEARBMOHBsUQGtBIu/W7XXHNNc9BBBzUf/vCHS82ZmgZ19dVXNz/84Q+brbfeuqRI1eWtB+7fava1nWu/6KKL2m4zM0OwfO9732tWW221Zp555mkuvPDCMrPf+r3zfOMb32iWWmqpZtllly2E0M0331w+R5q4DjOtrcedkSF5KGqk17T7fqimLbVNrN02/WLIqSOPPLL57ne/W37foH8gOBWkekb9RiuuuGJRdSHKkroR9BIIFCqXyZMnN6usskoz22yzNS972cteZG9605ua+eabr9lhhx0KeY4Yt713onQkdYkcJyTM4BDCJQiCIAiCCY9KuJiRllKEHOh3k8JjpZoPfehDJZijDPG54Pucc85pvv/975fCnVQQUneQGkgQpIbvERsIEQQN0mL//fcvRAjFhJQkShT7IWA428zfVDAD28IQFUcccUS5fx/84AeLVN2+9Xvtvfjii5svfelLZVZ1ueWWK7OpVoOyncBUKhLVijZpg79/9rOflXSp0047rah6qGEcy76+95lzSUVyLMt5U704JkJGDQ3X5xjarp3aY/tf//rXpU3IC8chrSe1FyjX7frVXLtZar+v6wr6C4JRqRv64Be/+MWiQNMvLeMd0iXoBSisrHTmvUfdssACCzRvfOMbm7e85S3Na17zmmmEyxve8IbmP//zP5sFF1ywjAkIw7XXXruoJ40rFFvek97F6sDo01LmouBqjxAuQRAEQRBMeLQSLlYpEmz3uyElqEUQLgI5TnT9TtFO5Mp73/veUkdC+glS4dhjjy3pRpQoCAxkw2WXXVacaAVYbY8QMaOJkEFU2McSt0gNK7BwspEdrW1hPuOIS6FYYoklms9//vNlf8SG7+2H7PH9Rz/60Wb55Zcv32lDrUWDZEG4aBMywXm15ZBDDikB62677VaIH9sgRVwXoobSBwmDnKHU2XfffUs9Ge11PXvvvXe5bqQUcgIp5R7ZH9FiW2ogq8s4L3LKNgOvsZ/MfUBwmYEO4dKfUM9FahHSzxLe+jCVi8+jDgi6Cf0NKeLd6n06xxxzNG9729uad7zjHc0iiyzSvPnNb25e+cpXFsLl9a9/ffPv//7vzT//8z8XIoYKZtZZZ23+7//9v81KK61USHWpo9R1iG3vfnWLKF+Mpfo38iWpSM8jhEsQBEEQBBMerYSLOiQC2H43hIEAbv755y/kCYKkfoeMQBrMPffczWc+85lCXBx44IGFXEB6IE923333Zs899yxEBcIGeUN5gjRB3tgfMWNfTvU+++xTaq8I8J27tS3VFMK1PcID6WL7qiyhqkFscNIpb1ZfffXyOZWNejO2R3YgYLTJbCpyxkwsQgaxsssuuxS1gPQjChzH/NznPlcChkq4aL80KwSK9iCa1CeQLubcjq9AL2WIc/jXZwgix0cwUcq0Xlc/mt/RvQ7h0t8QdFouGuGHMNxuu+1K8WhpHUHQDSA/9EHvWfVa/vVf/7WkDXl3UsoZ+6yo5R388pe/vJlzzjmbpZdeeloxdsQ5Utv48K53vauoX2afffZC0rz1rW8tf7///e8v3xtHjDPeqUiYRx99dMIXjA7hEgRBEATBhMdAwgVh0e+GEJEGJH3n1FNPLek+9TvqF6TJf/3XfzVbbbVVUYlQfiBm/It4QMRsscUWhagQvCMeONxUIQgHRIhtpdlIWVKgl1oGKUGt0toW5ji2RYZQzHz6058uAabjagvyQ20Z36+55pqFcKltFQgsuuii5XvkjmMheJAgiutS62iLz/xGiAakD5WHbcy8Og4n37FI4ZE+CJiq4EEwMVJ4aR5IGO1DRLl39Xv3yr0deH39Zn4TqiCFkkO49C8EmgJez4B+6/3iGaOgyux/MNqgNpFG5J29wgorFEXkO9/5zqJoNB4g/x5++OGiLpSiKs0IiYJYQVIbW5D53omUWsh6RD+Fi/Fj3XXXLfW4llxyyeZjH/tY+Zd6EanuHN5P3rlWPtKWiYgQLkEQBEEQTHhUwkWRwA033LAE74L+fjbpMZacRbggI9Quqd/VWiZShBAUiBBKD0oWhAQSBOlhttP2iAskjHx9Trjrr4QGdYnjU4xQnGy++eYleKznqlaJEwoTShbqETOozm+WFJGBINAW9QAQLnVfny200ELFmUeu+Axh4pxMChE1i3Zz4hEortHsLMLlIx/5SDk/IgWx42/bIo0cS3uobexr1hYR428EkvO4V8gcJqgQnNS29av5LaUGUCGlaG7/wypFngPvF8oy/6c6CILRhDQf72vvXqlBUoiWWWaZ8j5Ftli1iFmZCKmCKH/3u99dUo4QKNIWvWufeuqpsnKRFY4sTe+daVygsPOOl2Yk3QhZQz3zL//yL81cc81V6r8g6++6667SlolYvyiESxAEQRAEEx6thMv6669fHE9OJtKhX40TTaWBcEEyIBHqd0gLJIZZRqQMx1hqjtlG8nAExAYbbFBIF9sPVLggOHyGzLDkNOccMYGgoIyRklPP1WrICik5jo8QoIZBrEijoGxBkCBlEC7a1rofwgWBYBufIT+kDyFcKFAoOsjarb6EZEA4IYTMwlK02Ic6hpy9Ei71+NKRBLnUPggl12fm1jUhXigPEEXIGPe13397pr3ukTQsRXSD/oZAk5JAv/VMVCLRai9B0Gnob/qW95x3vzQhqT+UKZSACBRpbdJ9GAUKQkSNIcpJ72c1XagHEdVSOJGGdfu6j2M89NBDhVBRkwuRaAxAxCBgkDdqwUyaNKmMCY4x0RDCJQiCIAiCCQ+O6b333lsIhvXWW684pFJRBN79aAghpIoUGPJws5cca6QLwgLhwWlGUBx33HGFcPnkJz9ZSAcBOhKGuoVVcoXCZfHFFy/kQ1XCbLrppiWlB3mDjKJuMQPq/lCBtLZHIKlOheMw7dMGxUIRJ4gQnyE/OPNmPhE3TJtI3bXXuZEeZkWd0+wpIgVRhGAQPKgTYIYVeSIYUMeGugUp4/hk8c7t2NpFOaMN9nUttnV9Cur6zRFXVDOIH9+1Xls/mmvSXr8Nss1MddDfkD707LPPluDUM6YvIzAFuE888UTSi4KOwQSCfiWVh5rF+3HeeectBDOS+o477ihqFWRJqyFh9E/vF+9kBLzUIu9m71nvZeOkbSvZwvRftVqsyuVdhHippLD3t3HFcTbZZJMyRjiHZ2Gi9PkQLkEQBEEQTHiosWDmTQBO8o+AkLcu8O5H4xBro1lyaUNy76XsUGggVyhAKFM41wwxsdpqq5XrQ4YgXih51JNAnpiVFASakTQzyVFG1JCJU4UgMTjccvYpTBAnnO/aHuSU+yW3H5njX6oUNVkUY0RoVEIIOURZoz3SnJhzK3yrnor2Iz2QSQgFpAsSCVEiTWnSpEmFTFFzwGfUMwsvvHC5Bvs6p2MJLmyjXZx8wS3CxbUJRA4//PCiwBEQWJ3ISkZIDGqe1mvrR3NN7oHfR3stzRr0PwSYlAfUAvoaElT/F6RO1PoWQedQ+5f0IO9979DXve51zTzzzFNqZEmx9K6o6UHTM8s8qwvl/agYLnWMcUZ6EXKdUqseo5IureZz3yN2vKO9Yy01TY2J5Dd+IWcmirorhEsQBEEQBBMeHFUBj5QbxILZPcG6wLsfjSqFYgTRgpRAcmg7sgE5gnhAUtRtkR8IGdsjIqhFXCPSAXGD4LC9Y0jrsS1SRVBoH+k5zoeEoRYRJFKY1PZQkiBTtAMRYJ96TMdHcFCp2A/hgvBBCHHGKTS0hQLFsZ1HsEDtgqjRXsoVihRkkBQg2yGXkCfOZV9tpuypx3Id7oPfUaCABLJv3cbv7ByOhaCSYoXAsI193Ld6ff1m7ivyjFJI7Rp1FYKxA4EmpZK+jcDUj836B8FIYAxDdiCwpW0iWxAl0i69MyhRpA0hQ2ZmJiAQJt7nyPFZZpmlENnqeHm3I0wcr92+rXbfffcVxYv37Qc+8IFyHMdDwCNuJgJCuARBEARBEEyFmUFBPNJAmglSApEg8O43o3BAXmgvIkJhW6QElQdyA1nCKa7bug4Ot+1t6/uqfqFw8b3tHYNiwrYIFf+3j8+dz+c+813rvXEOpI5jSwmyTz2m4/vX9/bTRs42Q2ww7VA7xrGdx/a1rQyZYzvtoNaxnc/qPbCvtrn21mO5Tuf0mXbZ1zGQLhtvvHEJTLTDOahcKIYQM87lmur19ZNpl99ce6V3WXrVrHK3UZeZRcq5ZzMzaWCIrYkSZM0I3jUCVsowASxiEfHo86QWBcMBlaZitt5zlnRGtFi22XjmnVdT1yrpMjOjckECIngR1MhdBXeRJlYm8q5VO8p2MzqmVKP777+/bE8xozC7wrrUlZSHnoPxnl4UwiUIgiAIguAFkEtTiFA7CMqpMhAHsfFjtbCuejQUPkgYKhzqHmoZyhhETbt9+8EQV4gLqVrSpAQ7vVjtBsljFSoz6ZaCnZlZOtbMtqBwokNwKcgUjFJUIc/8nv6eSLUtgpFDX0G2IEeQziYL3v72tzfve9/7mo9//OOFcL755ptL36qEy2AMkcIoVKixpHtKCbLykOK7UjCR3VKUHLsSL+3Md4rqIsKRLlZA+vCHP9yss8465X3sGPr9eEUIlyAIgiAIghdg9l1Aq6Cr4Jv6gcMaG19GwUKd0Zq2RO0ixYkip90+/WCUPwIUyhZBOsJIGgFlRLdh9loNkv/6r/9qXvOa18zU/u3f/q0EatILgv8PaRt+R2SUgNQS34qeBsFg4PmXumOigPLkn/7pn5rllluuKFssH48MkR40EnMMYyOlGqWL5/lf//Vfm+WXX76MkVR2vm+3b6tRulDFSPmcb775yupFSCEpnzfeeOMLVzT+EMIlCIIgCILgBZhlMxtollDBQTVDBLjSVwTisfFhflMSd/J7AUNVufisn3/rWhgY0YEQJPc3w90LRUQIl87Aai+KmVo23YpeltSV/tGr3zUYO9B3EBVqa0nVsRy+ZZzV8vK+QISo79QJQ6h43yAH11prreaNb3xjeZ5NTniPInds027falQ4VjkyqWEVOvv+x3/8R3mPqOlFTdMLtd5oI4RLEARBEATBC1DM0iycQqpIl912263kv1NECNJjsV5ZVeVYZcpKWgJzMv1eoZVwUZxTXQapDJYpryYgM4vdDcKFykeak8BvOHbPPff0ZNWUWs8F6aJosyKliDWBp1SRIBgIRJy+Si1CFWX1OPVVrESkCDNi5JZbbikEB0OEdMK8b9SQUo9pwQUXLM/72972tlLAWzustmWFpBmd03dSiNRIk0ZnFSTpRd4lCG/fIZLGE9kYwiUIgiAIguAFcPKoXG644Yay+o/CfnVFHAVaY7FemVlkdROkDSBbpJ70MiBvJVze9KY3Neutt17zhS98obSx2mc/+9mSeoB0GW3CxXP729/+tszyD8ekYKg10Qv4HREs6gcp3CxlTOD6zDPPvLBFEDwPY5Q0Is+fVMiVV165EJoLLbRQSdWxahmlCBJPH+q0Ofadd95ZCukiCD3b/+f//J+y1L9xkqrGuSvZMz2znaWnpXVKK7J09TLLLFNWm/NuQyiNF9IlhEsQBEEQBEELBD9myjmPHNo11lijFCmVymEGLhbrplE7UFmR4Ju9pm4xC6xuQy8DklbC5d///d+bTTfdtKQFSMOrtuOOO3aNcEFOmH1H/gzHKNrUqujFPXVOShepRD/+8Y9LW6z+pFjpeC4mGgwN+onnHiGhfyAKKUSWWGKJMjGg2DcVCpXmaJq0oGuuuaaoWrbbbruicqFoW2yxxcqKb4hP2yBepmeO4z1G2UW1h2RUkNe1OKbPLXE9HkiXEC5BEARBEAQDwMmjclFEFeFCMo10oTIQANcllWOx0TR9jfTeilmf+cxnmh122KEUy+2HdJOBhIuAyYo7npNqiINuEi5qQ7TWjRmKCfJ6RbhUSKWw9LdgGrlmqWirOo2HoDMYGfQBqg/Pj1XW1l9//ea///u/C8nhOdP31XOhQOmGUaggBI8//vhSP+Y973lPqetirJT6iBQaSNQMNMdBukiX/Pa3v93MP//85TiVQJIWNR5IlxAuQRAEQRAEbcC5FexINVAk0Ay+wBfposBqLDbapq8JPCylahUbS1cjAvsBIVxGBxQMVi5aeumly7LfFC/eRb1YiSroHyBYkQ8HH3xwWU7ZM7XKKqs0e+21V3PFFVeUNB91iChLumXIEqosqXBSil75ylc2c889d7PZZpsVRWi7fdqZtlO0GGsV/aWYod5B5qhTM9b7fgiXIAiCoOvg0BpAn3vuueIkcyJisRmZmV9LpXYzr9t5yPlJtA899NASPHJw99lnn7IKBOWBgFjqUSzWSROsqGUgJUdBzE022aTMApvx7ZcUk34nXOr5BH9qyww0qRhzzDFH3xEuAmu/sXeLmhxq9lx22WWl7kUw8cBXeuKJJ0oKj4LKCsy+733vK8szU0BdfvnljWK1yA9GedItcz7jo1os3lmKzCuebeUhRXzVmrKcvYmLdvtXcxzbXHXVVWV5a+8N6h3KGUovRcPdg16r+oaLEC5BEARBV8CJFSxz0uXvmhUxo8FZ+NWvfhWLzdDI7DljJNNmxMwCI+xGe+bL8aVvaAOShcpFWod6GiTQluOUxy5vPRYbiVmauqYPISvMXCNbkAMCLYFJr+u2tKLfCReFPNWVQFp4VgeaGXTBYb8RLuC9c+utt5Z7iDCichLUjsclc4Ppo6pa+ElHHHFEKZBba7Z41ihb+FJIj17bb37zm/L+osxCtnjmFc3Wd42ftqmk0PSM0sVY7x1ocmOBBRZoFl988ZKmxF+0ytFoj/mjgRAuQRAEQVeAbOE4mKVRm6CuxmAlGEFFLDY923LLLcssl9mzb37zmyU4RbxYMcFqDd0IkJA7HELqA6uxcHw32GCD5sADDyyOMEfz1FNPjcWGbYg7BJ6lUvX5lVZaqShc1ENAUvcL0VIxFgiXd73rXdPqLw00qQtm4vuRcAGKPkGs1WDcZwoCAWcwMaAfGneoV7wTll122ebVr371i9KIkC1Iin4w7aTA49tJeVKI+s1vfnNJx1UUV1ulyg0kagaaY1mmndJFfRrPqGMhSSm9PBf99i6cGUK4BEEQBKMCA2KVRiusJmjgfJut86+igD6z+sbFF18ci03Xfvazn5VlcQWkgg+z/VIskDDy2W+++ebmscceK/1NvxsNZ8wxkTsUBvozNYIVjDi/giErxwg2OYUIGLnnai8obqifjweT4oIQaPddbGimb7ifhx9+eAlGkAJIFv0JcWFJZSklghgkAMK63xDCZXShHbWei9WfBN0IZ/d9LAadweDht7VSHlWTSQeFZD07K664YknToQJBbkjD6SfzvqJENVZ7F8w666zN7LPPXtKDjN2eT9sNJGsGmuOYnJPKu9VWW5Ulo6VSTZo0qUzYeQb68Z04PYRwCYIgCDoOkk+OIgm8GQnyUIGoWRlF0QSk6hEIXDnfHMpYbHrGQSOvJymWD47s+PrXv97sueeeJQBBApx33nlF9cJJRYyMBjjB+vYjjzxSCvkhgfRpBU0pEfxLhSPdSICk1gsFzEEHHTTmzX1WwFN6hmv7xje+0Xa72MzNvdN/BdC77757uadIAX3HPSbBP+ecc0pApXZRt1RcQ0UIl9FHJXmp+pBw0suoXryDxmo9i2D60Pf8rn5zvpM01oUWWqiZb775miWXXLI8Xz//+c/LM4SU6Efz3kII6bOLLrpo8973vrcUwf3Upz5VJtqM4dQuxvV24z3znW0sc33YYYcVNan0IqlUO+20Uzk+/3KskC4hXIIgCIKOgsPASTRYTpkypQQRZm4FpgqfkUQLIuSix2LDMTJrS0oi7MyaSfGRK86Zk/Yjda1bEKCZiSP3lx638cYblyB0mWWWaVZfffXiZA5MkRprtvnmm5eZRQ7vhz70oeL0Uqr5vN32sRmbe2dFDylDUtPWXnvtotpSANOMNlXgWKhTEMKlO9AeAbjA01iKtHMPvQuD8QW/td+V/8RnWm655cqzYyxB4P/2t78tik7f97OZIEG86LPUqBQ6rsN7z7On//q+HWEz0LwTTahIqVIbRnqRe+MzvmS/Pa/tEMIlCIIg6BgMfI8//nhRr+yxxx6lRgvJPGWC3FxV5g2QHONYbCRGySLgM9P761//uqRnKGYraJLO063ASWCMYEQCOaeCvhxOTiJptTx77RvrZkaRvJuSR169PH0pL+22jc3Y9Imrr766LO8s6EASCqgRLf2qZmmHEC7dg/cMVR3VwBprrFHGVcF3ML6g/3k3SKORhuN58X9kLMWLPoBwGSumFou0cWmTc801V1kyWtFfz59UYe+/gWTNQEPeOJb0XAovKzQhXRTnNSa5Z1Ls+hkhXIIgCIKOgJOqiCnVgdoWZmMEZeSj99xzTyFikC2xWKcNmYcQUGRPekYtrIvg6+YsMCm48yGD9HdqLsVOkTDjwTj8Aj0qHs+3Qq+k3+22jU3fqLMQhfonNdZYUbQMRAiX7kGb9BkBrHec9CKpufrQWCLpgpfCb2fs0PekEnq3LrLIIkVNSCnpnatfI/ERLmPJpPkaN1yXQrrqsCBdFNL1DCJdkCmIF8TKjIwvSdFKbammizQrihkTfIiZfiZdQrgEQRAEI0Z1GJAtnECF3QyMBlrFTAUVgtBYbDRM/9LPBLNmvARYUnk4aYiPBCOdQS2ALf3lM5/5THPUUUfl/k5ghHDpLpBylFBnn312s80225TA0zvOO3AsEnbB8/DbIeoRKgrB1/QbKYfqPFG8eGaQF2PRKPlcG4XKuuuuW5Qurm+jjTYqKUfXXXdd2a5VGdPObGN5bOm7iKh55523rNpESe2Z8Gz067MbwiUIgiAYEQxwHD4D4ec+97niMFhZRkEzwRinPBbrhpntpbJSzFZKm2BPgV39MBg5POuCWqodtZkUfFVPwr3vd0l30Hn43UO4dBfahviUpoH4lG7imqlf+rndQXsgW6zKQ6XxsY99rJARc8wxRyHUrGYmBdHzMh6MOuvMM88sCyhIl6J08Xx6Z+jPUs9biZp2hrxxLPVb7PeRj3ykee1rX9t8/OMfL8/DQw89VJ6PfkMIlyAIgmBEEGhRFpC9Wp3FoGc2wsAnAI7FummULhy7E088sRSYlNaWWgedg1UhBLannHJKedYF2WqSeAdkln1iIYRLb0BNShXgGXTPrQLoGfR5SJexA7+V/iY1U20SZIv6JorDUmpaoQcJ4bceD0bl8qtf/aqk+1JISplyzcsvv3x5b1hK2rsBqTIz098tra+mmPSiD3zgA6XAMELH9/1GuoRwCYIgCEYE6hYDnBkZs90GU06EwDcW64UJ/uWPWw3GEsakzEFncd999xU5+Ec/+tFSO0dgoJZEMHEQwqV3kEYpiHXPqfmOPfbY1HIZY0BQm5yyFLxCsC972csK2eL3VJPMO9UKeOPJTIZISzUmW6HNe+N1r3tds9pqq5XaNbbRr70jZmS2of5RuH2ppZaall7kfeMzz3E/IYRLEARBMCIoZPaDH/yg2XbbbUsBNAVMqVtisV4bp1UBZzNf+qUAMegMBHaILTOWlomWXiTYDSYOQrj0DtpoZTQ1XBTRtUQ7xYuUSkqXoH9BJWhlMr7Te9/73mbOOecsSg9LHZuwQkggJsa7nXvuueU5lF70+te/vnnLW97S7LTTTkXxI0V9IFkzPbvoootKEenFF1+8mW222UphXgoaz3K/KF1CuARBEATDQnX4LMGrsJuBU+qGIIzTF4v12uR8k9tLLZo8eXJz++23J+2lg1CkUP0BcnhBLXJLEN7NlaGC3iGES28hcKfokz5JHUBlimRGNo+Va5iIoGpRn2WXXXZpZp999kIQWOqb6sOkFT/qqquuGvfmWUWubLHFFuVZ9B5ZdNFFi8KHX4l4UjC4HVnTahZncO/sJ01p/vnnL/86tjQmarBePw8hXIIgCIJhwSwaZ68W7lOo1GybgpqxWD+YtBfF9fRRS0VzzJL20jl4B6jhdNJJJ5X6TYIGy0SrpZOAb/wjhEvvUdNS1LMQuB9zzDElxTf1XPoPfg+/izoj+hpigCJj1VVXbQ488MAyPiEZpBJNBEMsIQilw1lVUP9VANf9kArsWbYN0mVmJr2ID7rJJpsUssV93X777UtdGGoiz0kvn4cQLkEQBMGQYeDi3JLEksFasUTKBnWLIHeim/twzz33lOCTAiD3pXcmuNNP11xzzRKMUL4EnYV3gZlZ7wKz7AKKLBc9/hHCpT8gmDTefOc73ymTH34DY07I5f6B38jKjZdccknpc54FfY7vRJ1RyZZ+td/85jclzce/7b4fjNm32sDPTYxITf/gBz9Y3iVvf/vby6qXVi9SILcdYTPQkDNIFxMs66yzTjPLLLOUVYwoXPlhvVw2OoRLEARBMGRwHjimiuQecMABpXimWQQOBcdvtM25zOqRkxpoyVPNcDCfGcB9bhvbtjvGaJmBXSqLtgjwFXBT4K3b7RiM+b2q+Vvbpd1o/x133NG133M07ZZbbil9wQyalbT8FiECOgupDfqL5eDNMHonnH322SXg864IxidCuPQHtFcwKSCWWiS1wtgjtcizGfQOfhuqFqoj6a2f/exnS5+j5lhllVXK70SFgaRWvwVhoA9TfkyZMqUQDlYr4k+0EhbdMESHPuW9zo/5/ve/X/7fbtvpmWMgmRDylCynnXZaucaB27hm16+AsCWeFRFGllBOukfuB3IGqTI9872aYieffHLz3e9+t9xjBA7Fyze+8Y1yjF5NBIRwCYIgCIYMTpxgloNtVo1TgFDollGOGKQN4pwSA7icX7Jqn3Fe1OwwmNu23TFGy5A8nBSDvtkr98fslYC03fa9Mook5EpV4fgMOSHnmXOHdLHNwP3GmrlGKxZxdDmM1C4crrEWVPU71G2RSrTpppsWKTe1iyBQylEwPhHCpX8gqLdioOBUTTVKM+/wP//5zy9sEfQCSGe/gbRLhY2tpqNPrrfeekWJ8fOf/7wUOz7iiCMKSWA7ag+f82l8jojQr/k83TR+DF8Aef7DH/6w1Fo555xz2m47PeP78MkcQ2H1Qw45pFxvu20RMwgZ92mRRRYp7wzvF/vx5xyLT9eqjmlntnO/kP9Ilze84Q3NJz7xiTIxyD/rxURACJcgCIJgyODYceakaXAIDHCC9m5ZnS067rjjilmWdoUVVijLDCqUZmDlIHBetLPdMUbLkD8kwt/+9reLE6GtBnmES7vte2FIFvV2zFpxTJAsPudgIc/kkyMm+qnNwzXXetttt5WgiyJLf+FshXDpLNxPQZ98eoGEdwPnHGkXjE+EcOkvaPf9999fJiHWXnvt5tBDDy1BrAmSvO96A6Q/n+ADH/hA87a3va08JwcffHCZkDHG6q81FWzppZdu9ttvvzJh5N1JqSStRoFdpAXyo9um/zi/tlhNyKRWu+2mZ1QlFDr8MjVrvA9ce7ttme0RTBQpCy20UCkq/M53vrOsOuQYQyGePAfGfO8l7x8Fea2myffx7uom6RLCJQiCIBgyFMsVWG2wwQZlFkbKhsC2W4bAuOCCC4rDwsyerLXWWs26665bJKVkrwZ5M0VSjJAeiBcKDoMt1YPPOP7Md/Vz2/hb6onz+NfSg/71XW2Dbe3jc+Z4/nY/DPJ1mVzf+VzQb/963tqmehzn8ln93N/VHMNnzPUgSOr5HEv7fO74jqd9rdfBqDy0wXf2NRO0ww47FMLMPXMen7mfHJ7W39R3jlXb51jOU9vuu9Z7qS3Oab96jF6ZNrpuK+ggkqhcBCBJdek8BHWPPPJIWaZTQGv1IgSe1LQEfOMPIVz6D9QU3skmJDx/xiLvZAq0sXpd2o3M9fta5te19CtpXttK2Wec9DtsvPHGhTSwbLHUVhMdSBjjLjM5ZGlvxWL9XsZfk0iIGaQZP4ZPQ/Xi3er/CJjq41RfCDmCsGCeg7p93cdnzN91P9tUn6kSQMyxtdG2FClS1d7//vcXwqWew/b2q+dwrNoGx/R9PRflitQefVIK1cA2OpftmDHDxAiFsLQi7xdkD+Wke2J75IyJvhmZ8yNp1IZZbrnlyvNO8eJeO586R93qQyFcgiAIgiFD4VHSzkmTJpXBU8BfA/BuGDJB3RbBv8DewLrhhhsWZwYRxNHRJoN5dSQM0L5DVnBA62xKnVnxHYIAWcBp4HAgIDgOBnjOiXPaRhsEDf72PcfBMXxmtmrXXXctM1ZmWBAX2uu48oypSKpD4P+uQZucnxPlWL5zbJ/Z37m11ee1La7N99pqP46KfVyb9tnP8X3v+v3feZAPvnN9Sy65ZJm54uA4lmtwXOb+VUKntru23W/vWO6z7/2tDfYzs8SZ8bdtXbtztv5+3TTndh3f+ta3Sm0RpEtqi4we3FcEi36HAPU86NMCkNzz8YUQLv0HbbcMrnezMQipLoA3STJWi+h6byBZBMgUc94v+t5zzz3Xd+odbUUKqZ9DYbv11luXArDzzTdfSXFB+PMZmHckO+qoo8qqPCaNKDvsp38iN4zNtjHuS6vxnd8TaYNMQExQoJh0Ms7r/4w/QCVjf9v71/7GZeRH3e/cc88tx3Y8/7efv/l1lLqOa3tjp2vQpurz8G98b9+6f/W3HMP3zus77V5ggQXK+8D/HaOSK0xb1HhxfO11TmTVaqutVuq5WL0IYeV+Wgadr+G+VP9teqad/CXkjf3nnHPOQrpQEmmD3wpBNtoI4RIEQRAMGWTLAmvEgsFS8C2w7oUhXDgR66+/fiFdkAMcemQJaS5SiO25557FieAgGOilPXBuzJgozGawRxDYh4PO+fGdmR2zMgILqUqID+flFJh9MnCrVyH/mqPBwVUhf6WVVirBpu0QHI7FFG790Y9+VBwv5+dYVKfEsrokr87JqeBQaZfiehQzljbmOLhWtTIcC4Hgs4022qjMlLk27dNWaU3aUPelvnFvOF7aIhgRFDufNnDy5P+7JqSJdqsJYIZIe8261WDFNVRH0Pdy0jn4FDP+VUNgl112KWSMc7b+Zr0wvw+n0bUJ/rvhZE1U1KBDIOHZkZOP+OrlKhFB5xHCpT+h/Z5BY4ExxriCLEcCjEUgVR5++OEy/kix8Tt5txhbEDB+934hc40tJlGMzVQt0ogQLsZpBEar0qSa6zLxseyyy5ZaY54hYzXCgk/B+AnGc74ApYcxH0kjdYzSWLHZ6tvwYZzPeGfc5/vYlvEpKDykX/NT9A++hntq7HcOPot3Nt/Ac6It/CWEC6KGv4XMcY6qHLWvYyFJnMPv49x1okMb3v3ud5e2I1eQILb3fuCjbLbZZuXa+BGOx38xVrsv7slHP/rR8h6Ze+65S3/WDtfKHxuMue/ag/R63ete17znPe8pZA4/0TM/2v0nhEsQBEEwZFhulwNn4Da4U2+YUeuFUWII+ivhYgDl0PscgWJQRUYgCOqsiJkNBAepLBLGIGyQ5+AYmDkPBnVkB+eBg1DlvsgK50VuVCeGw4SwQFA4DieCw8IB4pxwDDhInJfqcDm//dxDzolrUChuxx13LJ/bxrbauPzyyxfHhmPE0eGAkCk7nuO4Bt8jjrRL+/wuHCft1SbfIYMQVH47nws4OGqcOc4rZ4mzx8lx3VQw9nPvnMd9M4vlb8GVc2i3++N+cdo4Uhw0DhbSirNIPdP6m/XCOHWcxhAuow8BnyAJEYuo42QLQKjDfB6MD4Rw6V+4BjWsjBeu6+tf/3r5/1hMLRIMK8htDBKQUygYK006GD8F9X53Skb15XpBvlSSiw+gby2zzDJFTbHwwguXYrNUHVUBUlWk1UxSGGcVdkWe7LTTTkXpwR+p2/AhTGyoQ4J04ovwB/yutref2ijGYqQJf8N98Rlygp9CAWwCxTjoGCaibONclk7mB5ks4ct4jk3UVB+Jf6EOjf2N+65Rv3JubfB/fgm/Z++99y7n0EZ+hGM4hxWDbM8/8Blfh9/G/7C9v5E8JkdMCKkD5v1hH76E4rfIEqSL82g7/4pfMjPjh7gXjstXQR4hgNwHPgyfdjSfixAuQRAEwZBRCRcKBk6QgFoqSy8M2SPI54ghXBAHSAVOvYBP7i5nBPlQlw9EuiATquQVmYJkMPCToSILDMqcBdty5hA3gnXbOK8ZGPu4BwgSzpS2+JzDwVEws2JfzgblisFem8yAcQA4MmaZOBi249BQBDiHY1ERcW7MfHFeOF2ujQNSCRftdR5tILfVRsd3bVQqjuu8jrv66qsXIsqx/X6WX+QsuUbXZAZO2zmxnDTt4NhwsrTXNu6v75ZaaqniODmHe+v+aFe9v2aTpCy5zz6rv1cvzP3ghLo3IVy6A86rgNzzRUHleeAcj5eANgjh0u9wP4wXyGZFR70DrS7Yb2k4M4O2qk3jtzWGzTXXXM2rXvWqohxZcMEFS8F87xjjkrFHoVqKGKlV3vWjfb2IFulN6lchTxAZ+hUVRVWJ8FG8/xAuAw0Zjdyovop+aDUf46/96nYmU2oNEvs4nkkSfsiKK65Yxm/nR7YgL/gVxl+TK3waChKkjfZQlyBgqE8cwzndW8QGv0Sfsb/zI0f4CWq42BZ55JxUKch0Y73nHLGEQEG8eOYqIaLtfBe/FYLD76St+iSlDV/FtfE9vEMoh/VVzye/hYKYb4Ek8du//vWvbz72sY8VcshxXCNSio8yI0OsmARzHgWKvbcQWMgkfgwFprS70egrIVyCIAiCIQPhQj1SyQGzOpzoXpi6JQZzjg1nBZGAVOBoIhaQKUgDA7+/ERQGXc4Ap8bgjyzg8HAkOGxmg8yuGIQRDD5DwBiYOR/Oiwxx7ZwO5+YQcCyQG9VBMLMi4HQ8jgYnqbbb/eNoGPg5ANUh4RhxDOo5EFocMY4Sh9PnjsUxMZulfa6JGkdbOEIIMI6X60MA+Vd7nMt37pl9FltssXJuzojjIlC0nerF+bSXZNmx3VfbIIycVzE7x0W2uA+24wi6764NQSRn2jW6Dvv20vzeIVy6C46roJzCiMpMMG5WVnCS+z/2EcKlv+E6vOuoQxD+zHvQNfp8LEEgrHaLcUwtkJe97GUvsle84hXNK1/5ykLE6IdIAIoeqYzIF++c0YL0Se84yk8kCyLICjvaYLIFaWFMn54hG/gffA59lZ+BiKD6QH60bmfc9b0x2GfGZopcPgJfBlFB+YNw0cdtg5DwXDom4oRPgDixapBJGsSK8Z7/4HnmgzgO5a19KUMQWggXn5mAQar4LYzz/CT+i0kn/gpfABGDtKltR/rwb+xjf36D543vhWCp6b7uoWty7Yrs8qf8js7Bz9B/kUKebUtsa6/r5tNVYmow5nq1EXkz66yzFrWLNj7wwAOjosIM4RIEQRAMGa2ECwJC0I/k6IVRTxgoKUXMriASkArIFUSQAdlMCqdHupFBm0PBaeF4+HuJJZYoJAYnhsPOgTHbgyxwnQgJf3M6kDLOyxGhPuEQqVfCmeVccbIQLByeOqvCiTDrJbVHG+yPAHI+zhHiwgyN2Svn1lbbODeVDYWL1Azb+NyxOUfOZxvEDgeKJJjixjl9b6aLs6JNZoMoTtyTqkKhUtFW98894wj52+/KsdI+qiEOEYfHualpbKdGjdkljpY+wAlybts4thk0ChrH1kaf99I4hn7zEC7dhUBJYO5ZEVRwcvUHQV8vpP9B5xDCpf/hGfMMen+7ZmOh8cGS/2PpOl0HBYKx20TBQMLl5S9/+TSr6hIBPmKgql+Me1aue/zxx1846sigTcYS4y8iwHhqNR3jtRQhvgIiwL03pk/PjK/6qEmdSjpot3HeBIgx3DhrO4QL0sTYa19jsUkW50RU2Mb4bbw3Bht/tcFzidDxvXEdiWIf/odafP42+cKXMYGE8DAB4xx8HN8pXqtttuXLUMgY8/ko9Tx8gVrDzbOPhNF+2yB4PGN8C59rt2MYEyrJ49i25e9Iy9Juvg1fzBiiTcZybacIlrblvYOwGQrpghgyKcVnfOc731mUM1RCfCrvp06rokK4BEEQBENGTSlCUhiMKRgQHN02JIHgzSCPEOFQcEwQQAzhYRA1qJtRQcZwNig4au639sudNvNiYLc/B8RskMEfMcJh8jcnyjZICwM2h8p3nA77cyQ4Jv6WE81JMLhzFMwkcZQ4Jj7THs4Lp8MxHcfMnXb5zjkQLBwrRAkHh0PhXnNmECFmvByLU4S04Tyo02I798N21Tnyf7Ng7oHfDnEiWELKcNT8bdZH223rWpBRjmcGzH1zLoodjgqnynVpN6ePkoiD6Ng+cx/IdTlPgqBKgvXCnJvziXDhSIZw6S44r+pJ+A3IzvUf9VzMDAdjFyFcxg6oQ4xZxiXXbmz0/LW7Vp95ZqXxICesDoSoUHzccytlhxLA768mTDfepdrkva3txpqBhMv0DElgfDfhYRwzZrt2Ky1KORqumgHZ4v54r/EjKPjUFkEGeccZ0431/AnjYTvzHR+BEoT/wMdAuFSlqXEYGWF8NY4jJOqkjPHZ8REo/BlkD0Uqcwx9mb+BQGDGY8+n//Mv9AVt1lb7I0VMQJlwkXqEwHCvtBFZxfdBJlGc8Jmc36ROTZW2DV+FglH7PPd8HtvxL9yPhRdeuLTLeary1yRRrcWj3drvvMaISuj43HEc27l97774XdV1UVCXitlx3VeEYk1lmp6ZMNMGPoGUNATdHHPMUY7rOqiiOrmqVwiXIAiCYMiwSpHA2mArEEd6SFPptlGLGFwRCkgJTgenxGcGXs4IB6g6EAZhZIRB3WdmkWyPVDD7bhu1UMwC2q/OrnCApMdw2nzGYXMM25uZQZpoAyeGQ2GGyPFtYyZHOx3HzAzHhSMk+ORoaSdnSlvf+973FgeEIsWsmc/tY6aO88Wx4yxJnVJIFzHEOeCQmdVCqGgjpwT5wZlyLY7h+jg2nAxEjt/PNpwi5Inf0fHUwiHz5ZxqO+dGWzlHnDbXjNxBtnBcECocLCohbUd+IW4c14wWB9l9cQ/a/YbdMu1230O49AYCFCSivkoNpd+MtVn24MUI4TJ24H1nRR/vbWOHgN6y+Z7Ler3+9TcSwn3w3jReUIgIaCkwkB0CdPfPeIpw0A/s1w04pzFUChE1SzuSpZ3ZdvbZZy/9QcFdkxUmGVznUOE+6Wvqgxlbjdtvfetby7/GSGM9ImUwZjw3Nru31Cs19dhkhzHXOGrsd1zPknP4LRAF3qGIilpI2O+EqPC559BkiuO5X0gLxIgxHVGDYDEWGhf5QNpiP/sj5dwffYW/5Br5Su94xzvK+SphYjzVNr4Ov4MfhBjhM/AfkCUmhvhXrsX/XYPzImE8byaG+CGuCQGEdNIm44QJKT6MiTTvGdfnM+fm47hGpIslo9/5zncWv8Xnrg2hwg+ckdmmklba8upXv7p505veVHwZx9A3OtWvQ7gEQRAEQ4ZZL8oBaTwGK4OXgLrbRsWC7EFaIAyYQdRnlBycM4SEQdg2Ppfu4nOfcSjqTAdHxDZIBASB/TghtRibvzlHPkNWOIbt/W3Q9n/Hdiykg+PbhlOnnY5DidI66+Xc2ilIsC0ng6NlO+fwuf+bPdJW/0fEcIw4NdqsbY7NQTADpI324yi5DlbP6zttdB+0yTaOyxzH8Rwb0aNt2l7b4Dpru/3e9Tja49juvbb72/eOyalyHNs6X7vfcLTNed1LQRcHEVkkoOhWgBA8D0GK94YCxhxlQYCgzWfDnWUOeosQLmMHlSSgTEG2INcZpYfPfe/39Nt4zwtumeDYWObdXscT45vA2m8rkHYvjV9UAcjsTkPbvK8pDvgdiIN/+qd/GhLhwgTU+qF+gbDQZmlKQwHiyj7ug36l9gcVjRQXBIfJGeOsMXFmZrw1BvMtEB3SaOzvXvvceG4MNf4b76lTEBn8BH/XfU0SuSc+c+66r+8cz9jsNzS2O2c1nzHjvfbYz/7VD+FTMN9rhwkibajfOZ+2IYiQTM5j/+oD2VbbbKM9/q89/kYkIYOQND6zv36E7DFOI3VqW9wb56jX59zOYT9kUE0vQqghbBA9zsFXYfyX6Zm+zlfRn5FKCvN6R5ksQjrxISjBRuovhHAJgiAIhgxSXIGTmQezIwZAqS6xWL8ZUghxRCrMkePYcZrHY1DV76gz55xxM6UcY6oXRT2jOBp7COEytiBo9AwKWhEOFAXIaClCisrWVFkKRapFSkvBLtKamkNaEVWamliIdKoL2/nNBfzet1KXECMjvYeVZNGuxx57rKQ1KdiOFEAYDYdwYZYVpkahlFDTZShpjdrD99EO5AqlkKKrlLWCdcd0/ypREWtviB+Ei3tIeYMYQs7oa9RT1ML+327fVnOvEUbGdvVeEC7zzDNPUdwg9PUVRBJSZWaGdDEZQ8FFRTTbbLOVlCkTipRgI11OPYRLEARBMGRwUgxCHLY6YApsY7F+s6rS0VcRLoINjnMIl94AsYJg4dySkkvJs7KVYDkYWwjhMjbx9NNPl0AUSUDFInhVl819QoQKhJEvUofbKVbcH8+x++23RKB6v1K7UDJQrY2UQLU/sgUZRHWKKBekS0dUs2M4ZAuz0o5A2u88FLIF3At+j3GEskWf/+AHP1jeYdQbgnbKi9iMDVGCUHEfqayQdu6hd4f+SG1CVdNu33aGrEGwqNeHiPO7ULxUtRB17szM8+A5oCCisnnjG99YCByF/6lrHnrooREpMUO4BEEXwcn3wq5FyAxoJG1ePgYs0jjyurp8XywmP7bOygsUDQrSR2699dYiBeY41fSIbjqJnCEOC3WLwdIgKbCNxfrNyMbJpxUUNlsluA96hxqsWa5VgCKHX/DrvdaJmfGgewjhMjbBX7jnnntK+uekSZNKnS/+hnFcgErNwrfgr07vXvjccdxzvojUC8oEyhmkC1XKjEiXur9nHrEiHYmCRsoQf1hb1PWgXFCfpBIcFCVqdrQjU6ZnyBk1X5Ajap3pI9Vvmhm003VIIzKOUNfoU1JOFFv1t/QVbebLxwZn7hdCBLlSjZ/rM2QLf7fdfu1Mn5V6xB9Va0+tGUomNe2oKH1XVTGtKVWtVr/XLgSLfmJpb/1OsWC+AwWXvjqYfjMQIVyCoAvwsiZDNCiRIhrkMKpeLB5i8k0vBIWiEC4clFiMqVzP8ZDPqo/UgYkkk6SXHNjKAY888sh0VxwYDTgPh8zsghkxjqq6HRwZ9TpisX4xTpR3rYLBZsKQ3UHvUaX53h3eIcZC9SUEYMHYQAiXsQvjt3ehSR1F2P2OiBKEh+/cg8HcB9t4ZqnW7K+wOxICoWoVn1bYFolTVz+iFtEXpPZIDeELV6JFMVS1URQxRbCov9KOTBmMSQ/RPyl6jAGUO4OFa0MeGUsUt5Vyos+oFSKVhT8mSEcQxIZm7pvfXW0W5v9823bbzsyQNJTWVFBIOitGSS/ye3n+Hdt20oxmZHxa7VK/hWrLSotvectbyoIA1C/6q/47VLVLCJcgGGUYYDCiltITIJPNeUkbUMjWsK9mBRR24ihgUNXGMMMQiwlI9AmSWoOFompIOZJYzgNChoPDGeBEYN4H4yR1AgYcKxSoQC9ntpJAiq/GYv1iyBYqMekrFGKCsqD38J4ya0yFZJYdIeb3QsQEYwMhXMYuTAQiP9ReMYYLTJEm/NXhwD2jmhGwrr322sVnaSW3fe+cJocQLRQx/BkEiz6iWKk+1I4wGanNOeecZeUZE1RSp4aiUNDHkVD8LcqJN7/5zSXNpK5GRF0R6x+jNhJnWRGJsslvb/UnfQ0hU9OQZmbUlyY6KV0orBB/Utms2CjNrZKSg0UIlyAYRVSZpAfdQ4tkkTbkYRZEI2Es0ydQNtB5sXNAPcixWDV9Qt8wy2IG2Mte0ToSfCSH2SQkHqeFsznSXNPBwmCjj5Nfctjk4pqlkMLB2YrFem2kwhx6S25670rFm5HMPeguqlQfmWw1FLOIVu0SlAX9jxAuYxfIFs8e/wHpYlbf8ziSa1dY1DuWUkU9F6pcym4KFs84FTc/WB2WpZdeupljjjlKv3nDG97QzDrrrKX+RjvCpJ1JEXrlK19ZrN33rUYtQ+Hgel33YICU0b+tzmNpYn1JP19yySVL3TrX5pjuWz8atZHJBu1UX4ZiQ90s8chIzbMjlvHOdi+mZ9LL1FaZmVE4WrGIH8mXHYlRbK277rrld0K4vOpVryrvnoUXXrj4AYgzfd51uDfulb7ZLlWJakYhZNsvsMACRTHDvONMLg5FjRnCJQhGAQYsg/bVV19dJGocfmy4wYa8XQ0BLLuXOQdB0GqgisVmZtKG9Bn9y2oB+hiSo6ajGUQMBNQxHIvh5JoOBY7vfAbfjTfeuKQFCGyRLrFYr0x6m37JyUQEcsAoBwXyEyGYGivwWyCHBeAcX7UkSPSRLt51o/3+CkaGEC5jF5RkVhSyKoyAnIpjqHCfqlJGmoXJHsdRENUKhjUNQyoOokXNE3VUKEUoD2ZU+NZ3CBh9h7rA9mppfOxjHyu1OShy1FGx4lC7/REys8wyS7PggguW39/737um9bf1fhE088epdZFFVMUIIqphpAX1HYWD9ui7zk8t6ZrUr2s15IFzVQIBAaBP9cK22mqroqL3TnUNfgspMpQfIzUpaOuss04hMKZnanMxv/mMzEpPCDEEifor1EMjscUWW6z50Ic+VJ772r/0BWlBVh9aZJFFiiLbdeiTfiO/mfeWGjB8WCQLpYz0M6QMomq99dYr6UVve9vbmpVWWqnEdFdddVV55wxmgjOESxB0GHUAIpcUBHsx+ZcTgOn3cHIkY7GRmr7EODo33XRTIfP0N2lGiBc50pyJ0XYeyYalxJHsIn3IbAW7sVivzDKP1C11xswz4VlIAN+f4LAikC1Da4ZSmq0gqBvvr2D4COEydkEtK8VGQE4JQUE7VHif8kUotJE3VoWjDJDmjAihLqBAEfDOiFxpZ8gWtVcULVW8VHBOKU51oN3SkigPkC/t9ke2KLDLF7Ksdbt3v/cLFbGaitJNKHOkoxgvEBTSnPRZx6tB+zvf+c5C9Aw02yKEPAtzzTVX2c+1u45emPb2g/nde2ED+0Or1ba5T/qJei+IOaSKd4D3hTGI8ktakUkA7wvvMoSOmkLSlKi4+L988Jm9M0K4BEGHYbDGpHM8MN7SLaQNSS0iZzSrEIt12pArHCgrXwlaam0gShcOxWiC8oazZSZLbRkOnNlqAW/rsnuxWLfMzJTngHRdzrUZywTu/Q2Bm1lmQZTAStBmxjwkWf8ihMvYhaK2yAt+KoLaOD4juCeIUX6stGbqWu9ZfgZ/Q92Wt7/97WU5XfddMDuzwLfVkBMCXwoEPoTfzDvAZA4lgRWMEDt+Y22lDKdEoFRodywECHWj/fhI7eCavF8EzAhevjtFg6KrtVCvwLwe1zUhkXw+0HxeCaZKeLS2qZdmxR7PHaWO1JpeWFWWeF+sttpqo24UUAONMoWaxpLR0thqH/Wb+Q29A9wr7yv9GNmHiLEPX4JqyzEoruyPgKNmUjuG/z2j90YIlyDoILzU1WbBhhqADAaKAJo54Ji0BsixWCeNE8QZ4TRI6cHMkwqbbZLCNlBK20lwWPRvNWUMPpwlQZNZM4XHFCqNxbphSD5kH0ddrrb+qM4RZyjob9Rgjoxf/j+lC6Uo0mUiBMBjESFcxi7UEJQ2oc6Gelc1LcK1M0ptxIYJG3UG/WbSbIzrVCNSKqSorLjiiiXNRnBKkdIu4G81REQNcAWsVCFSNaSheOYdl9oEcU4xg9wxoYSQrajt4+tQo/jtKsEhgHZMChX+jz5KyTIj8GH0HROjfHZEjVWImJQXqS7IJP0YqTKQTPG3/k3VI5iX0kIBwfQxhANlxGiYe4/MqOdrZ9qPcHBPPKMjNRNrn/rUp6alFw3GbOv39YzVeiuDNftYtrymRw3XtHn99dcvBIo+Mvvss7/od6ymD/lNva8USZ533nmb97///YXEY//yL/9S+rq6Q+6t9DF+hz5an6OBCOESBB2CAcDsnJoBHmjMv1lVNQM4kbFYt8xKARwjObyIj5/85CfFmRjNmWLOj3MjG+U3k/mq66K+jFQngXAsNpqmn6mZRVWoD3JEEX4CC/0z6G8YQ72jzLx7Zwl0pCdS7Y3muysYPkK4jF1Qc5gUNE7zF1xzfQYr2YLooF5FQqhtQXmGPBB0IiCQJgPJhxmZQLYqCfQJwSpi3G+BXJEabdIIyTOYGnR8bO1XfBcRUgNlK57xRUx2DuXdYVup/xQ16oCZRDKuqHGjDphrpnxBGDlXvS7nlkYkkBd8S61Wu5Ehj6ktpaaMhqkvYoKhnq+dKWugPolt/Y4jNRN6lKPIMT7mYE07KKLsOxSzD2JwpHVxED78YsSTFDXEWGv/nJnV/uXf+vvrC2rDIJQQdkiXdu+PEC5B0AEYmKgLDEbkmQYAL21kixd+LNZN4zCakbKSEUeT0sXsvz46mo6kYyNdBEhbb711cVDMSJgNI10W/MZio2FmlzifihaS/OrzHGUB2PRmnIL+hKDH2Gm5aDOpZptTRLc/EcJl7KISLpbMR1TzGTxnVCFIa4oC6gi/nTQL98eM/lBSZqgAFLtdaqmlSpFVAS/1isLmzo/QQa7wob2nET2e8cHef7+V97zAWf9CvFClqPEi+B3O7+j82qE9jDpG+/R16UmIIcSFoN1KS+95z3vKfXE/EC/+77pbrfYvbey01WMPPOdAq9t10tqdZ0bW7hiDNfu7tyMx9Vqq1fSvdv12qOY4jo881L9Neg7sxyFcgqAD4BxK2/CwYWIFAAaCWKxXRoavdhCHysyAWRbOgrzn0QTnxAyVGWrBb51VMMNj5QLLKE5vCb5YbCimHyFa9DUzbXXpfWlEpPKUEhzniRA8jTcgVzitZkVrsKw4oYA66B+EcBlbcF1IBJMv7hPfAHFgrKbi8A5Fcko/QbZML+VieuY3RnooIivFSM0QdTv4xRQnfGNEi2db3xkKudIOaq9Q5yDZpX189KMfLSoKvk9rClInoK3OJz1VqqPAmrLEPZNWpS9RwAjmW9Uv3TbPmD7fDfMbU3f4vV1/N0wBZb+zRRqsbITM64ZRbVPF1FSzduY9I7tBfSMkXauyNoRLEHQAqqUbSOQICipJ2LHrsVgvDeliNoajY3ZJpX6O1miC84R0obRRO4PiS54xGaeg+Nhjjy1BsiJjsdhITP9CtpiNVdCO0y1QkF5keU8OcjA24T3i9/Mbm4En17bcrGA46B+EcBlbEACadOGzSvc1GUIdIv3S+5MahZqlXSA/GEO2IGqoYyhct9hii0KAmOzRVzqtNnQ8k52WP7YksP4nzUg/GM3f0LtJ7TyTS9KP+P36GHJJX6cAand/umFIH/e+G2ZVH4SdfkSJ6B6MtiEHEfFSpDzDFNTdMH60+kUmDduZ56lOKir0rH9Ii6sI4RIEI4QHivOvQruHUYCLAZdSFIv12jgECjnLKSaDveCCC4qTMtoOpeNj+BE/HCBON9JHjjPyxaD5ne98pwxQ6jR4dmKdN0oPqy4guvy/3TZjxVyD/sLJ4nBJV/PetaLE/vvvXwoomjkdTO5/MDbAaTWmel+YSUawSVscrwHxWEMIl/6CdiNVvAM9O1RhVipUFNf1emdSJbhmq7BUNUZrbYp2QTzzHSLBb6g4rFQa716BttqFlCaIHP6vfuEdTdni+eULjBb8XgJcaUrXXnttV1WNzsPcb+oXE00UPBQOVDC33HJLWe7euNQt4/eZWOuW+a31NdffDfOMM33Kfe+W8Zv1Lb5FO6vPHUKzpr+29sMQLkEwQghoBTQqrBvUOBJyYXtpXrpUNph3Rb8oG8wO+tvML7llu/0mkikEp0CbmRdV8NttMx5M/+SE1FxtgauAxWAw2nAOAw8HjOqAZJmE2Qpegif/UsDsvvvu5f+xzlstMqeIrMCn3TZjxaQKce7938oU/r/nnnsW4k6Q5d2mHsBAR2eigjOskLt3/2BNGlY33g2DBQfWeKXGhL4sNVEBT+8VDm7QW4Rw6S2003PgeajPuxpq/D4TgQqOel9uvPHGJSXigx/8YPP617++qFjUnJhZHRYFbq3IUpfHlcJB0eA3VYzVZInisggG5I7+wIz53tF8Du/lma0SNBL4zb23XLsJnl78dt6ZAnIkgP5DXYz4UKOGv9WOOBgt0xdaiYJumN/X9XfLZkR8jJbpVzPrW7bTNm0cuG0IlyAYIQw0KnaTtAvgOYeC3F6agUfRME4qKZyCpeedd14pLkbtUCvBT2QzE6NAnMKyHIJ224wXc30XXnhhcbzkHHOGDAjdBNbfealdkC6cMbniZtwsGUiKG+uskYgvu+yyRWrNzEbKM2637Viw1VZbrUiYLe1Iqk5SrJaLdy6nrxeOdj8Dmey5FxQNxhCixggOYz/dS+8OAUwlab3DBDV+86C3COHSG2gfq2SL5wPpgPxQPFz6rpqCaqhIE2pHprSzqnShZFEI1O/1tre9rVlzzTVLmpDjUhKavDNR5RkUZLZC0M/nsFIQQtz9HLhNJ+HYef8H/Y4QLkEwQpBNGoS++93vFsefcqLXRsJIXknmafk+sk4zHogXqSXk2UgXxEy7/SeCkXsK2NyTX/3qV223GS+mP3BwKQS++tWvFqKJY9orB8VsCCUCJxHxhbTUP2OdN7Wl1Dgh/+Y0SyujxGu3bT+bIIo0vZKjAj39KE729KH+ibpiJgR+8IMfvGgp0Xa2+uqrl4C5X4MXAaW+LC3Re5t0fzQDuWDmCOHSXVRygZrEOK5uBAWjZ1cdlrnnnrsoV9qRKYOxN73pTYWcVxOF/4iApZCu79yZpQZ5J1PU7rbbbsUnlsKcZzQIQrgEwbBBIWBmQbEoDgYHEOGC9e+1IVLk06rZYIZDkEXJIWAxS8gpIss2S8HxQb7I85Vval+OrZQk3zH/F7SbMfV/Rco4u8z3ju0Ygmf7OpZtbOv/VfnjGL63j+/ruX1e753/C6oc28Bdz+97x6/nr23wuTZrm23t4zvn8Zl96rHq545Pdqt4a70PlZSox7V9zcO1ve+1r7UdtiPDp9qo99I9bP0t+sG0XXv1U2aGSs5tr5zK6jRyjsmgES/tiKLYyE1/10cpitTOsVy3/qo/6Bvt9ulHkyYpRa51GVH9KITL9IFw8a63mpNnXlrfjIzizCx2vxIufnvkuBXXBNCCTYFn+kHvEMKl83Bu/iVllxUwvaf5SXwVKcHShBAi66+/flEsLrDAAs073vGOZq655irpPzMq2ErBQrli9SHKlXe+853NIoss0nzgAx9o5plnnpJ6ShU9ZcqU4tfxdbx36zuXoqYdtNl3fCXvGiQQVbXxJ89mEIRwCYJhw+DDASRxp3IxGAr8BeT9YFKHVMu2hBq5eCUlDIRW8uCMKzSm3dKPbI9gMMAaaAVlZlAuvfTSQjogFwRpNT/Y575H4lDT2L8SIT6zjf187l9BP/LFOeyHEHIMsyeVrNFG2wgQtUnb6vl9z0nz/7qv4/jcIG8/n3O2OOW2dVztrp/bx+fIFNen3c5lX0RJ6/7+NTtDIaDNrr2V2LG/a6vbcC60x71r93v00tx7jo/6B3Kq1RziKMcRGv8QjHLezVR6T0kz0p+ld03PeQ7GB7zjpex5L3nPenfPyHbYYYcSHPcr4aIvC/68p62Q4V1mrDGr7rug+xgu4WIMrqTCSE1/1QdgLBMu+nBNETIRoQaIdzUfQ7Fo728qRaplpIrUn5nVYKkpQq961auK8uW1r31tqeGiHoulbilj/D7SNCnHJk+eXHwdbdAeNph7od1SifiUJvhMRPLLHCcIghAuQTBsGFzMrnE2FA9DNAj++8U42WYALdGnYKrBD0kgrWTSpEllFsJAyyFXuNTqH+ohIDRISQ899NCyv/+To5v14NxSzZgtl0svJefEE08sx+H82geJoUbH5ptvXu6L/Tn+iA2ydbOTnAf7WXUECeA8co8N9I6vlsAJJ5xQ/iUhd1zfI5A4Sf61RFudiTGD65hmfhTQdB7b+8625K32cz7XjQyyVr4ZIudGsGif9irMSAmg3VLF5CEfdNBBpR4OUgZp45hk+s7rfnKC7Oea3ON2v0c/mPvo/lvRxcxZCJeJAwQxAlPgYRZTQUUrKgTjF+ONcAGBnSDbeKUvb7TRRkUBQLEXdB/DJVyMzcZd9XhGasZ1pASMZcKF0pMfwt9S+4QakUKZGqUdmTIYc8/nnXfeooTx3jf2830ock3GeG6QKiZl+EwK4vJthkJkIs60HanPd6Ki5mP1UkUbBP2GEC5BMEwYTCgeBO0CfUoKKoJ+MbOASAsDNqeEc4NcMJgiKqgzECcGWI4HSTmyhFKjrmiCdECkqPuCYOG4O6b/IzEQIo5rRoODYKDl7AjqES7ORf1h8DUYqyXjO21zLE4SQgVBY1sDvhVr6koU9lP00ayLthxwwAHFceJsO5b/cyC0H5mA9PB/qUICDOd0fLM3rllbnJuzgTRZYYUVikTXZ1Qufkcrn5DVcwg5JpxH1+r/fmP30Dl8zilxbzkZ/nYPqV/a/R79YEgpbUck9aqaf9AbCFSpszxL+isS0bM+2BnMYOxhPBIu2qUvUxIi3aVWeIdTAiBi0pe7i+ESLvwIY3ot6D0S08eNwzCWCRe+A/Jo8cUXLwqU9773veWezjbbbG3JlGp1uWYqFtfw9re/vVl44YULGclX49eYDFK7y4SayTcTLnzYWgfL74iAMWHFp+L38cFM1Fhlx3aIFc8eq+okRAtfkj+18847l9/Be0caaD+/R4Kg2wjhEgTDhAHKwMXBMHDXtBSf9YMhQpAEH/rQhwrJUUkLZAQSg5qEg225QIO8FB6mFs3aa69diBgzLZVwkIqEYEA4+BsJ4/9ICLPl/t5www2LAqQSLhxi7eDMI0mQMgZzqT7uFTWINnJyDNacMOSIwq4UQ+6pf+1vX9toh+twDn8zRAzSxzmpbihPkCpUKT6nQOFIULdwOByXU8BZk16DcHHPFHlTUNh90TYEEMKGPNa/ZNDOjbBwXn8jnZBE+gCCaODv0E+GcNJ+9zKEy8SDPHyqPESrPssR91kc4/GJGREuNSXSO933zHvOu0+AJXCVDjDQ+oWg0xYBpPe1d7FrlW6kbenL3cNwCRfjKWVtJTpGYh/96EfLOw3GMuHieeQfWYp5RqlCCBbbSBFyT13jHHPMUWqyWL7Zam5Vceu5N/YjWNwb7/p2qhUkiu/4hsh4pLxJLH/z16Q3OYZ7w/gPSBXH50NRByN4+FjOV4mcIAieRwiXIBgmDDpm1Th8BhyzEwL5fjGzE2b+KFwMnO22QV5ImZFKxAlHuCBApBxxhshbESqt+3BsES5IB+SNz8yU2x5R47wUK5ZtpahAwHDqpd64V4iPeixOP3LE+SpxhRxxfGRG3Y5x2pzDNgPbhJQx8CNhBBiWGUbeaAvnCyHjHNrECUG6mJFZbLHFSn0b2ziOtiF7tNX9oPiRjmV5RWlK7gcSBqlDBeO+IVyoc6h1XE9ru/rNKH5cj2sM4TJxgWxFLlpqGcGqb3C2g/GFGREu3vXehcYG7zNWl972XvOuaC2oW00aWr/0FWm9ahEJ+JFFAsUotrqLEC6dA8U0X2pGZIvvtFMdF0v+83Xcx6rqpTip9WyGA8+P31RbPE+IG8W0+UTOo46Mf02w+c47w998PT7FSM4dBOMZIVyCYJiohIuZYkoOEmekS7+Y2T/KFYQLpUq7bTgXlCwUKkgIxqlGTJCiUsVQiiAa/IsEQVRIuzHw+j+yg9IFqWGmkVoE4cLRR3r423EpKzheyJR6LIEAwsNgTnUhQJCiJaVJO1rPLTBAFCA/7IfccM8dm4qmFq9FunC+tEe7ODCORepaFTYcMt9ZRhFhQpniftiG8+DaHdfsDsfQOd1DgYpzSXly3/wrVcnvj1jSzoH3uJ/M7BOlUQiXiQ0OtX6MKPQOEHhLN9If0ifGD2ZEuCCjvce975Dn1E7ez9JCveu8b+ty0bX2lnHB7DVVVD9AcCfANrYYQygspUAoOBp0B50iXCxHbKWdJZZYoll66aWnawq9LrrookXNUfcdL4QLsoRPOZBwqfdMHRZ+R11JiP+lSK191DHSbmk+7RQsg4XrRqh6xvl23hP8BufiT/KX+BAIFu+XWvdPDZiRnjsIxjNCuATBMFEJFwQC1QBiAIlgkOqlaQMiAtHAqVE012w2gsJ31TjdZgXJQKlaOOUGTs4KpxvpYH+kg88QCq5XcMa55awjGuxnEOYAUIgYoDnwZkXcF8SPcxu0OT2OTSXieEgSjj3igtOM+FAozsyJfX1fz41MQZZwqg30aqz4DqFTC+dSpDgeYoXEVbt8bjvOgvZxBjkpivNSuNjevXJtSBq/J+fNdSFqBKWCFs4ZpY5jqR+jHRQ7/i8gMSPs+37oA9MzzpHfNITLxAan2DLL+qvVXvRhz9qMlv0Mxh5mRLh4V0rf9C6vNbRmZLYTDBvnBNn9AO8vfRnRbQxZY401ynsYKaQvB6OPThEuljRWd0RNHurR6RmfRb99//vfP23f8UK4VGXJm9/85mJvectbylLN7gvlmT7OV+O/UClSd0n/884ejfaq06JN9913X3nu68SW80t/ooysJE/GjSCYMUK4BMEwYaAxCCEHBO1VjdEPJpCiHKG+QSogBsxQIBV8z/kWfHOO1lprreL4ICYMqL5HjpCYk6tychARPkOcmNmgZKkybt8hdEhaOTr+9b3j+peShHzdudVUQdII+Dn5JKuIFc6/Njk3YsUMq/sq5QnJoq0GeG3wHbLDubUbeaPt0rqobhAtjsspcO5as8T5kEK210ZBphkzbTFjg7ThtE2aNKk4dM6lba5hnXXWKcfQDtdvtlfbHMO/lgZffvnlC/GCtKq/Q7+Z++R+uG9m00K4TFxwkDnK+jjyVL83S9ov6oVg5BgM4eJ9gFRv/a6dUSsi5xG3/UK4VOjLlC2Ic8uee89T9CFj8o4bXXSKcFHolYKD0qp134HG1zBmI1nqvuOFcKnKEgVr+V/8En6TYraPP/54eV8jQaIiCYKxhxAuQTBMkC0r/KpuiSBfoG1w7LUhfhAjdWUgxIt/kSm+sw0HmmoE8YBAoOSoqT++r+oThIUgnSPLabefGRYqFUQDh8V3HHb7c+r9i6xwXP86r/Y4t2NQvDgfggMp4m9kimPXcyNFEC/13D7zvf19V9vlOPZ1Ttfrb2lQjovkcW6BRT2fdtbtHZfqxXfagKRCqLgn6lrUtroGqp56DxFAyBuki2PYXtDC0Veg17Hrb9FvpqYPhxV5FIXLxIbfXqBal2Kn7KJk8JwJWoKxj4lCuOjLAlUz8ZQ4AnLpoerNROkyugjh0jkgUhAq/EoEIqLF/XVN0ueqkiXjdhCMPYRwCYJhoi4LbWlhSpJKSIxnQ1ZQqFCXIF3MjiM22m073gxphJBCtlC2SE9CyAhWkD+CEU4kUqbd/v1g2qftUr5CuATAmUcSUukhUdVzko8fdcDYx0QhXEBfFZQanwTylJnSO3sVPE8UhHAJgiCYOUK4BMEwYYUEM2qrrrpqGcwpLwTk49koRyg7qDmsJiSFhwKk3bbj1Vwvqa/7IJ0KgVFr0FC8CGza7ddr0y7t5eRqc5zKoMK7TDqR4Fz6ob6cvPyxj4lEuID3meVr1e5S4BexjChPPx49hHAJgiCYOUK4BMEwId9WwTL1RMiYpZ1Qe1CBjFczEy4FR2oKB1xNFs5Nu23Hq7leAYr7UFOYmBQs96fdPr02/VLbKLGYtDCOcpzKAMjYBSr6da1PhDxEKKePjF2MhHBR/FwappRJJhAWEFeCXSraQFPEE1HXS0ghkpKh/yrcTrklJTW1L0YHIVyCIAhmjhAuQTBMmDXj3Bmg1T9QqI9jqxbIeDXXxziwrP7dbtvxbvXaW63ddv1gfivpT9LAKBgQRGoexKkMKrzPrFxEHSB4oYaiDkgR3bGLkRAu9tUXFO80tgmOqRptr8aVmlathoBH7ApWewnvNH1W/QuBPpWLNkuh7DUZNB4RwiUIgmDmCOESBCOEQqlSazgV6ndUMiIW6xczW41k4ZRyhq1YJPiIUxm0AulidRcBtRW8pM5Z+jMYmxgJ4WKlFLW6qESMbVScM7LFF1+87KP/9AMoWihxBOdSoaT8UuBE5dJZhHAJgiCYOUK4BMEIYRbYMsQrrrhikVtzXhEvsVi/GLKFtN5S24r9qnMgIAmCVlR1gHou+okgBZlM+fLss88mCBljGCnh4vf33pA6qn7XjEzNFMfqF8JFX0UGePcJ4hXRRbo88sgj6ccdRAiXIAiCmSOESxCMEPfff39ZelnxXKv2WLHGEsVUBbFYr01fFHjtsccexVFVv0VQnZneoB2oXBTR1XekY+ywww6lHsa9995b6lYFYwcjJVy8Lyzvb/+B3w80Aa8VgvqFcAF9+YYbbijL/bsPUqSkPenHef91BiFcgiAIZo4QLkHQAQhOdt5552aXXXZpDjvssOLAqpkRi/XazD4jAtddd90ScCiim2AjmBkooCwRLSjacsstyzvusccee+HbYCxgohMuoM6a4s/IQzWskAEC6pCHnUEIlyAIgpkjhEsQdAAK9FmlZr311itOhBWLyJdjsV6ZIIqpMaRQrtW0+qGoZTA2IOC4++67C2k3adKkZv/99y/qPWRdgpGxgRAuz/djpMttt91WUn8ptihS//CHP4R06QBCuARBEMwcIVyCoAN4/PHHm1tvvbXksVO6WFqVDJ+6ABETi3Xb6pKuVtASZJjhFWRkpY5gsPjTn/5UAlUrFllO/Jvf/GYhl1PPZWxgtAgXxWgp5Sw1X+tEKbCr3ovvpCwONGlqUnx60W+QhNqAMNx3330LAeAdqVZR+vHIEMIlCIJg5gjhEgQdAPm9QNYMmgHb8plnnnlmWS5T4BuLddsEFxxKfVHQdfXVV5egJ45kMFjoK95rN910UyHuBFNWMFK3KkWX+x+jRbhQykkxM8apj8KsZoSY8+65/fbbX2J33nlnCYZ72W+kFrnWuqKStia9cmQI4RIEQTBzhHAJgg7BAE2Cf8IJJ5QVEQzc3/72t4vK4Nxzz43FumbHH398cVxXX331orayyghHNMFFMFR4r/3tb38rhJ2Cy2oBSZmUOpL+1N8YLcLFanzeK9IUES0UdM6z9dZbl/+rldJqm2yySbPxxhsXVYxVgnoF/fjhhx8u/RcxoDbRLbfcUhRbwfAQwiUIgmDmCOESBB2EwZ5TecQRRxRH9Itf/GKR4ZsB5KQKfGOx0TIzzoKJffbZpywBLQCidLFSR2pvBCOBpcQvvfTSkjpy4IEHloK6FFMhXfoXo0W4eKf4Tl+gfKLsnJEJYtUBEgg/9NBDL7Su+/D+Q65ce+21Zblz5NCxxx5b0uSSajk8hHAJgiCYOUK4BEGH8dRTTxUHzqyeGUBOrSCY8ysgjsVGw5B60j2+//3vFxWCVCLFIfVFRSODYCSQCiIlw4pXiDzLjPubaiDoT4w24fKDH/yg/L/1u3ammK7j9ZpwAYG0YrlqrJkMWWeddUp6VC+VN2MZIVyCIAhmjr4iXMyUmWXwApfzq/ia1TYEEmYhvKBjsVajJOHM6SP6CqdSWg/nyexrL6AfC06046STTioql1VWWaXZcccdizMh5UiaEUc1FhuJCaiQLIgVziuJ/AorrFBqKQgoOJ+9KlQZjC/oQ8iVJ554oiwvbuUrCoHrrruuFCQN+g8hXKYPJPTNN99cyABqwIMPPrgsez5eahNdddVV5fdXyNhvfeONN5bi/nxsY0KnMF4JF6lnisxLpeyV/f73vy8pb363fsC9995b3vfXXHPNS0xxdURmfI0gaI++IFwMcGSeCvOpei/1QhBxzDHHFGfAgGHW1oAYi7VaHTQPO+ywaeQLqbs6FggYqxAYrLq9/KNBx8BvINIeeeycDv+aGf7Wt75VHA41EX76058WxygWG4wh6+r70XtReseuu+5aggbGGUW2cIDi/ASdBDIZ6SIA965F8OmTUjTibPcf/DYhXNpDX9UWY/D2229fUqNcp5W5xkM/FrAfd9xxzaqrrlpIBPdff3CNfG2kgmd2pCmB45Vw8bzot621iLptVrz0jHm/9gP400igds848hKJmRTTIGiPviBcvCCxyWb+LV3KiaMGEDzssssu5eUtQD3kkENisReZAVPfULPCsqX6TWvfsfSjgaBXTpTgRIoRBQ7nYqONNipOhdz3PffcsxBFCpxSwgiiY7GZmb4iSFCQWR9XK2j55Zdvttpqq6JsMbNppraTs5hB0Arv09/+9rcltUgtDH3Sey7Odn8hhMv0wR+g9pByKVj3HkVgq1U0HvoxUsV9f9nLXjaNdPB7K3bsN1XXyzM70pTA8Uq4UNWvtdZa0z7vhb32ta8tY7tnrB8QwiUIho+eEC4GOi95L0aDvhesWhcCZi/h888/vywhaOlJLz4vdOkhVDCxWKvpQ/oGx0GQyZkjA1XcUXAqIEDgWTXIgKA/UVR1k3xxLjNJ0pykyiluimxBvhjsF1100TKofvazn522ulFscIa4UqtEHv4GG2wwru+fa1tvvfWa5ZZbrllkkUWaxRZbrNliiy2KwkVAxBkSCCeFKOgGpBFZqaj2TRMm0o3S9/oHvSJcLBtNrfzzn/+8GCKDspPylPKOTzfQkB/dTufRV70vkROuU+qvemvSJsZ64GgS81e/+lXzkY98pHn961/fvPzlL2/+6Z/+qQTyb3rTm5oPfOADzRprrFHIENfOb+JDCZqHMob47UK4jI6FcAmC8YOeEC4C5FtvvbWoD7xcBQz+Peecc8pALWexEi2cOi9Qg7GHORYbaPoG8qUSL4iNO+64o6TzmHmlhNl3332L08fhI8+0XzcVAAYh7dSnOZycXY6dfq9tnFv/t6IDxU5s5uZeuWccPI7jiiuuWBw9Ko92249lq6t91L7C9GfpashFudXIFkR2At6gG0AiC+oU0RVMI/+oq4zd6YP9gV4RLtIeBcbq/PDvpEeYUHBMKeJSXaqpP2WMRtCYaOs29FV9Vs1ACmtqWapT79Sx/D7lC/GBTEi85S1vKUoXhnSZddZZC+mCiFhooYXKNtJXvvOd7xQ/XDoSH0o6tnswI19pIhAuCKu3vvWt5Rq7Yc71hje8IYRLEIwj9IRwIdmcMmVKcdLMSgskBA3IlShZYp00DoPBAPGy2mqrFQdQOkYnpLQjASfO+QUsyEfyfI5ObPBWl0GWe89hpPgQ/FE2tdt+PJi6RPqKPsOxHC8FHoOxB+8wzrWgTj2t97znPeXZM2ESp7s/0AvCxftJuqNV+gTzgtYZmWCdYo8fSJHRK/AVBOoIAwTRFVdcUd6xgyFcbNPOegkTPEgTKdbzzjvvNMJleva6172umX/++YtaTT08SnPjDL98RrVeJgLhMuecczYf/OAHmyWXXLIr5lxIlxAuQTB+0FXCBZli1gCTbkDz0vSQPvDAA9PIllis06ZvkbpfdtllJX+55mqTEXdT5RJ0Fhxag7v3h99TWiJHUcAXBEF3gDimTJBStPbaa5fUYM9gyMDeo5eEi8DZssut37UzKUdUfCZCekm4GEuQFFQ3Un7dNz4C/6EdjD/8B6QGZRcy3L2k1nFfLr744lInxfjU7TRmcD2IA2360Ic+1LzqVa9qS7S0M+lHSIbFF1+83AdkmD6CXBFUt2K8Ey7aLC2LQqvd/qNh1ILOGcIlCMYPuka4eAkafEg1KVsMShj0++67r7zcyOFjsdEyToEcZcoqkmakn9WBzM4KGDJIjE1wYjnEnHaOimVqrdAjrazXM4xBMBHg3YnQVvdCUMMEU5SsAtigdwjhMngYLxAj2sRPVYScMhaZUlfg0teRLEgUgefkyZPLNfJnLZUuPUqhWv8XsPuc+osSk/9rXLJ/N8YmbeX3OPcnPvGJkhbTjlyZnlG8ICLUekGkKo6txsvAZzqES+cthEsQjD90jXDhfKmfQa6oxoKByuAjtSMW65YZMDiem266acnXNiuLkMls7NiFAR5xS8HEYePIKebZLcc2CCY6PIOIa8GmIEqQr1aWwCXoHUK4DA3GC36CscSkjGs0MSPdyHiij1PNqveClKHmsuxy9WtbV5JTD0XBfkE7wkG9LaQkQsCxRguVGNJWRCjyQcrtXHPN1ZZYmZmp+SJdcN111y0+u1TtVoRw6byFcAmC8YdRJ1zqy/+YY44pDLkXiWBIgGQQi8W6bZwGs00GbXnmVC9mrDJQjF14z3CEOblquqjVw2kyMxkEQXfgmaNcFZxYslzAPzAFIegeQrgMD1QcfAKrHKqBojYYvwFhYpLGCoPIFkE51Ycgf6D/YEyqylr7ex6QAgice+65pxAinYTzaTeSpRbmRwohO9RmQXS0I1RmZhQuxlPpVc4xECFcOm8hXIJg/GHUCRcPoMKgu+66a3lpmwG76667yvK9BqpYrNtmMDVwcEY4BlZR4EgNnLkJxhaQKxx2gQKnyYpnnOR2TmIQBJ2Hd6hCm2b51VTyfqUG6EUNiyCEy3BBgSJw5yNYtUiwbVVBtcIE9q6bYtvEDZJjev3bmISQMMl41llnNYcddlhRzthXnaORPBP2dW6TSAgc99E9dO+RQSaTVlhhhVKA1YpEs8wyS1tCZXr26le/upAkn/vc54o6h9/UDiFcOm8hXIJg/GFUCRcDgsHAA6pQqUJknC9kixdaLNYLE4QjATl3lFdmsRS483kwdmGg926RNy//nsN0++23J10sCLoEz6AUTUV011lnnfJuVc9CUNbpGf1g5gjhMjJIi3N/VlpppaJ0Ma5YWdMKRoNVqfCDjUGCVYV1N95446LEvOCCC6bVhpkRfO+5qilNSM26EADSxu9KVYbk8HsuvfTSzQILLFCWgkYgtCNTZmaveMUrSs2Xd7/73aUP3XjjjdMdR0O4dN5CuATB+MOoEi4GBoHseuutVwqHGWDUconF+sEMHghAedYcRHWFgrENg72Bn4Oy7LLLlpn2+++//4VvgyDoBgSJlC4C8iWWWKI544wzynMZZ7y7COEyMiAZqFiQ+AsuuGBJC6LQHk59MNvzialdpL1+8YtfLKk/A4vQVtjeeapKXGrS1VdfXe6TejGIAcRItXbEyXAN2aJQLp9oZkF0CJfOWwiXIBh/GFXCRZ0WjpZiW+SUBgvBz3g112vWwwDN2Wy3Tax/zBLlZm44U9RXZp04Pxkwxi44qZwlM5McJ468d5CZxPyuQdA9mIEXTAuO6qpwAsegewjhMjIIIF2PAvtWwFO/hbpkqGRLBQLH+KSmy7777ltS7FvrxyFYkDK1zhziQCqT+4mgUTtmscUWK8s8K2Rr+eZq7YiT4RoCxTkHQy6FcOm89Svhol9SL1oKfaCJf/Tv4T4bQTDeMaqEiwHDICqXW9V38n4PZb/b3XffXWYTyDUVCvPvzNqOaPHSEcCTd7redtsN1RyXtf6tLV562ObWbWNDN7+ZZYTNXDE1XiJ9H9vw+0kt4rjIZefY+l1TQDcIugeBmveryRY+gFpZgv7hqAOC4SGEy8igEPsll1xSfAMkiXs4Euj3xif3271DElC81FUUERz+dk71Y/bbb79m8803L0QEkmX22WefKbnie4qXV73qVc2ss87avOENb2je/OY3l30F8FYdarcfU7cFIYIwkf40mDEzhEvnrV8JF2Sje4N4GWj6Qd7tQTB9jArh4oHz4HlJeDl60SlKisigKuhn00ZKnFNOOaWkQXE6FEozO9du+2oULZwFzgsHhwPRbruhmLaQnDp2/QyJxQHiLF111VUv2j42dENgucccAktFu6dqEARjG94/CDUF/ziDVqKSRhaVSxB0D2Y8BUACbzUwqF057Gbx45iPPkK4jAzGEIQh0kMqhcByuNDfmTHIBID7//GPf7yoXM4+++zm6KOPLoSDQPt973tfqcHyL//yL22JkekZMqUWu5177rnLsSxW4dgIjtVWW60U0G23L5IGMYFY4BMN1g8K4dJ561fCJQiC4WNUCBcDitQMA7lZLYQF5Qf2niqjnw25oc2qyZOPcgBOOumkYu22r2YmT7DOwSH75Ky0226wRsGCpDIYa0v9vC5LaPaBs9K6T2x45rdDru2xxx5Fvkvim2BgbMPvJ6iTTmSWUEqDoIGjGwRBd+A5RH6atRdgKRiqiK7gn3og79nRRQiXkeGaa64p/pYgnP+qzw4FfGGKFqQE8kadC/fdPUU2zDPPPCWwXmSRRZoPf/jDhWRRPwU5QZ1CpdKOHKk222yzNW9961ub+eabrxTLpSRDPAjancNEg0k6/iT/1DmRHe2O5fzbbLNNqbVIbTO9IrkDEcKl8xbCJQjGH0aFcOFgGZgMovvvv3958UvN8dLvd0MMqUQvSOMASC2SInTmmWeW7wXn2H8OJPKj1mvxuboRBjhFgvfaa69px7S949refv5fv2P1O/v7t6YyGZgFigYAA7/tFHk97rjjyqDo//Z3bmlG9nF8pl3aznxX22ob/zf4csB8pn2t7ZmIpo8edNBBpc9yrKKEGB/wzAg6PJNUahzeIAi6CxMwJgl23XXXEhiZwPCeDeEyugjhMjJoj0mvL3zhC6X+0MzSjSvBKBWHD2zyhv/lnvAjkTdIBqt3rbLKKoV8eOUrX9mWABloNVUIgSA9aK655mre//73l6WfkRzq0GmrFGl+nxVCa0qQdkmzlRb13//93y8qsksVg1RwDPtTgrqGwSKES+cthEsQjD+MCuGCGfcSrgOugUagUwmAfjZkBAcF00+KiQSpRIXvkRmXXnppkWgeccQRZQD1cnd9JKequpNNGxBsj8zgrAj2zOwhS/zf58x+VlLxneKtBiH3yzE5PJ/4xCeaRRddtBR0Pe200wrxYxsyV3m+zuEYnCmz+QZMbeO8aDsz2Puc42Qbgy5CSBG46kxpS70HE9HOOeec4jySvfuNU8dlfIDTi3QhCfc8c6KCIOg+BIDGGaufWKXFsxjCZXQRwmVkkOpDYYxAoPqYWX9FVCgWLVWZn+j6rYK45pprFlLgne9854tIlKEYYgYhwL9EYJggMsHnHiIvEQ3TU6VoN5/cqqH8SSRCPS5CQnDvd0AQDRUhXDpvIVyCYPxhVAgXld2x5AJ6jlUlJDD9/W6IFbNvXugGSjNyCJHLL7+8BG6IEeQH4gL54W/kjNk7hXLPPffcZp111ikDieMZsDkSHBPf+b8XKkfomGOOKZ87DpKF01NnKDgeiqZtsMEGzeqrr14GyiuuuKJsp23agLihhkHEIH4c2zF8Li0KIYQAQhhpD7WMQYk6xvm1vUq8DdoD78VEMvfc/dp2220LSaUPB2MfHFCBHsfULKVnwDOedIYg6C6Q2Iou1ll+Yw9yW12MKApHByFcRga+2aGHHloKr6tpYsxg/ANjCHKFD8Y340NQRgvMV1111WbJJZds3vve95aUH0VrBf6tREc7ozwR9FOwIDCkGiFYpDu7p3xCvigfhd9CdYMIkj6L7JnRmGYbY98mm2zSvPvd7y7nc56lllqqXKOUp+ktUT0jhHDpvIVwCYLxh1EhXLy0vbwN9IpWYvq96KXe9LvVwdOshsr0nELkBRLG52bJqSAQLsgUzooB0f85C/41g2eAdDwvz+p4CPq8xKVZqWtjGwE+Z8expfkgTzggyBuD/aRJk0pergGWc8pJ0i4DGqLEZwYggzHHiFNFreGcyC6KGmSXwciA4TeRiuQ3QcYo2qZt/h54LyaSIbIof5Bn0rdCuIwPcEDJqs0AWtrTs+sZsyx4VExB0D14FhErxizjn1pn1JjGPURM0HmEcBkZ+Hmu0diB3EDe11os2i6wR1YgWvhlyyyzTCEz1GERLM+sBgtTq0Vx3DnmmKOQDvPPP3+z3HLLFd/TUtCICffFhJ+JTMSJMc1kwowIloGwj7abdEBQSCVaaKGFysSoZ3C4haxDuHTeQrgEwfjDqBEuVoBBFngJCuZrWs5YMelBHAGz4uuvv35xDilHqFcMCpQoAnSOo0HD7IbtDdBe0ogZx+HQUMoYsClaFGfdZ599Sr6tY5nBaK2vUg3BQhEjFcLAWz93DgOH/Q30yBM1ZwzM2uBYZkC0wywLR8B+VW10wAEHTDsWx2jhhRcujhXnq34+EQ0ZRuESwmV8QqBHJeb580wKIDjPQRB0F55F71xkgKVuTWgY/3w+nIAvmD5CuIwM/CgBPv9KW90nfhdfilJEync7EmUoZjUhhAE/0WQcFQu/Ts0VKppOwfOFjJCKZLUiRAK/9Be/+MWQyZtWhHDpvIVwCYLxh1EnXMwoG0QrqdDPxiHxorYstKDbvwJxhAfZpYCcegVRIi0HkcQRMWCZIaBK8WKUr7v77ruXYyJs/N9L1Pe2dw4DuRe7gQJBguBpbYu/qWU4S8ie+rmg0WBvwFHzhTLGQGB2hWIFUeMcHC3KGIOr/bbffvtCAnFs6rFcrxkOBJCUqPr5RDT3jgMQwmX8ggPr2fM8UbB5L1G5JMgLgu5CIGm23fvWGCm4R4DmvdtZhHAZGowFlB7S3JCCiAN+1AILLFB8P2lCiAFpQtJxBPPtSJR2Jl3oda97XZlkc8zNNtusWXHFFYvvxvfgd1BiGqcovoxNQyleOzO4NsSKiUO/Lf8TsYNcGMkYGMKl8xbCJQjGH0aVcDGgUFZ4+RlMSIn72Qz2VCWVTDEYKUxLZWJg5BBQk3gZGrQ4CsgSDgZyxrY+N3tgRgRpYvAwi2AAQpZwXByXs6NwrfosasRweBAyvnMsjojUIOdWx8V5kDpULBxUpIuBx+f+NpjIjXcMxzJYSOcyqCFhqgrGbKK//R7au+CCC5bBC7GEFGPt7s14N/ea4xnCZfzCbyp9DPHo2aM4s0z09AoNBkEwOjDb7nmkEhV08RMQAkNdISWYMUK4vBTIBX1Mig1yBWEgxdRqj3w2CxLwn1zDGmusUXykN73pTYUQQCi0I1OqWUlolllmKYGytCLLPCMXKLkWW2yxQkzo7ybvqC2tnic1nN+GKJhZHZaRwrH9ltLVTznllELujHT8C+HSeQvhEgTjD6NOuHh5IRqQBQazfjZOh1otBn/kBYWJeg8K53IIkTAGRwXUKEakE9lOsO4FX9NS5N+6bts7hrQeJIwBXJBH3YLU8UKX4mNbjgmHw2DPATEoOp6XvBoxnB7tM0j6zD7kpwgXAxBSR00Y7SVJRayo34JAooIhf0Um2Aap4/hUHfPNN1+ZYXFcvxGyp929Ge/mvpMKh3AZv+BsKnwoIEBAeqb1d053EATdhecR4XniiSeWyQEBkXEpz2PnEMLlxahki6BcUP3HP/6x3Bd+n7a6H2984xsLccLakSozMnVRKF8E+AgWvpu+zQ80sYPgQDZSsPAPKaf5gojGbsG1U5iNJI2oFSFcOm8hXIJg/GFUCRepOAIbA4pBWEDfz8apkFpj1k0xPy9chAoFigHTNXAIECxe+gZoDodg3Qte4VX7IDWsIuS6HdP2iBgEie05MI4jFYmjI9BH3kgR8mLlgHACkCna4VyIGuSJ7xE4iBrHrG1G4mg3p4UDS2mjTc7jX84TEsbL3EDvvI5lIPQZx8z1cYDa3Zvxbu6f3yaEy/gGJ9PKEohTdZAoxe68884U0A2CHkDwK43CGCXYrUvdeh4FpsHIMNEJF4SCvoRg0M8oSYz12kbxO2nSpBLYCvbnnHPOokqx/HI7MmV6Jr1IwE+t4piUK3xGfpZCt5aItpIQv7j2a/fI9QrupTT7rltwftYJsgVCuHTeQrgEwfjDqBAuglXr+SNbvAQRBQMH+340bTRIUolwVBjpJYWOgdo21CGcAoQGEgQhU1OQOA4GcySJ7+1X05KkAgnyOC8IGsejPGH2QZIYgG1ne/sZlDmf2sM4RUgdyhUqFi9hx0HMIG+01bEQPNpUSRvHs4/jm8mxj7Y6F9JGW53HOQfek4li7i/SK4TL+EZ1wD3DiE7pev7vfdUpBzQIgsHDbD+lgSAKCSr4Vt9F4JRncmSYKISLflKJBKlClIyCZqtO8n/4XCakEAFWhhTYU6B84AMfKCsEUaa0I1MYpYv6K/599atfXeqwWO5ZqpFjUHKbZHMfqYb5UZZspt5CpLT2YYQ/goK/55pNspmcHMtpdCFcOm/9Srjoz54tBOJAQ2p6/oIgaI9RIVwENArg1dolglmBv4E4FutHQzpRJXHG1LgJ4TK+wUEQcFjGk9MroOiUxDoIgsHDM8dnkNqJcKGMRQAgQePAjwwTgXDRfxAW+pBxW7CsVpc2O79VJgWvlmt+85vfXILYdsTK9AzZgmihfKGAecc73lH8WhNu1MW10K0xxRgyvT6rndLlFONVd09KK18DQTCWEcKl89avhItaR5ZEp9waaJTCyM74UEHQHqNCuBj8zFp5cdZBmQID6VJVHbFYP5k+ykmQqmXgyKAxvsEpljdPfYdkQw5zhDns+e2DoLuowahAybvYSmLUmnffffcLWwTDwXgkXPQV72+BPrJDHS4pPHUMX3TRRZv//u//buaaa65Sj4UiZdZZZy2kCSULAqUdsVJNkPu2t72tqFesTKRen+tRbF0wboUhKmF+gll9RA+fV5umN3bU8YavYeVO98ZvgxyYHkEzVhDCpfPWr4SL9zEFeLu0fGoy/tNY789BMFoYNcKF8yRFw2ogiswa3A3aBqpYrJ9MOpg+qniwVC0zq8H4B2fZTOjOO+9cCmNzgM1SxmEIgu7Dc2elGMG/gEPgIe2VLzGWUy56ifFKuOgP9kW0GLul9VhRiGIRyTLbbLO1JVMGGvIFGYNgkSYk+Bb0Ox7SACng+hAl+qK/+QlStKUqSQfSb2dEtAhCbeceSyuvixRQdM1o37GCEC6dt34lXKR+6rcDn2FG+RLCJQimj1EhXAwgWH8vLIO2l63aIwYowW0s1i+mT1JfGawNchxLDkQw/lGJYalkih2SeSPbEtwFQW9Akk4JIGDnN1AV+JsjHwwd45FwEdBJ3alKqHnmmWdYKwqxV73qVWXJ59VXX734AMYCNfDcK8Vuq4IF9E0z+YriWn1on332KffN59MbM3ynlovtkPqbb755qSWjxks3C+WOJkK4dN5CuATB+MOoEC6AdDHweqmuueaahdE3wBtQY7F+MX3SwMopVeSZc1QdrGB8wzuKc8D5VcNnnXXWKYWnOQ5xGoKg+/BMCqYfeeSRQgRYUldQJtBVrDEYGsarwoU57yabbFKC5HZkSjVpRBQvgvz55puvWXLJJYvKxIIByBUpElIlHn744aJwrKsJIVGcp8KY4Dv1Cd0710gJIxCnsqGO9bnFEtR2cT1WpqSgnDRpUiFaTPAgKBy/9dhjGa2EC3WRcRT5oX9U0wdnRrjMPffczdJLL11WDmzdd6DZR/2bD3/4w9P2nRHh4nzzzjtvs/XWW7c93gc/+MGyQlXdvh3hYhsF9tvtPxqm7pBzhnAJgvGDUSVc5LgiWrw8vFy9NKgJYrF+MI4Rh8tMlcGa08ShyoAxceA9ZZlo9aU4cgIEfYLjPV4c4iAYS/DcUQYIxAX0iHB+xPXXX59ncogYj4QL6AcUqoJjNVoGEiyK2wrgrUIkGBe0qsWiKDOFhPQggSMfFWFQSRZj//T6mM99bzu1Y/gP/Nr99tuvtF/xdffSZ4xahhrGPfK59GWqmYFEzlBgP4TkSI7RabQSLsgNqzchTlZaaaVp9rGPfaz8TjMiXGafffZSe8dv1bpvO1tqqaWKsqnuOyPCxXkVS1588cXbHks/ecMb3jBt+4GEi89sQwnTbv/RMOoW5wzhEgTjB6NGuAA5psDWgG/wPuqoo8ogFYv1g1k6m7LB7BOyhVMfTDxwEKQSSXvUFxRO5lgktSgIegcqF7UzpI0gxZEHceaHhvFKuMAf/vCH0gYpQa2EyyyzzDItcN9mm23K2H700UcXwk56moC8E0C8OJZ7U1c5lDpD0SJFVVqN5ahvuOGGQuCPVNVSCR/nFNj2y/jUSrhU0mJGNj3CZSQ2I8JlqNaOcOmVhXAJgvGDUSVcPHj33XdfmU2o1d4tEW1wJ7mMxXppJ5xwQnPQQQeVlDeOkb4aTExwXjlqakaQmwsASMfNJgZB0H3wHwRziIEtt9yy1IYQzFsBMRgcxjPhIrg79NBDm3e+853NiiuuWMgV5+RvXnnllc1tt91WAmf9hWJKfxoNVYixwzjhHIgVqW/OORjVzFDgHMYoga0UKONTPyCEy+hZCJcgGD8YVcLFIGPwUSNBLjY78MADm7PPPrsMihQGsVi3jZJBH5RfbZDefffdizOaGgETF95VHFoBiiABOXzttdeWWfYgCLoPzyQHXtrHYYcdVoIz6RuWAVZrazSC5/GG8Uy4IDqkghrHjznmmDKma6eVrihZEAG1oG23+ooxhHX6nIJYJA4lpnFJcCutybl6HeDym9SxWXbZZZv5559/piZdRkoQVZD0rnbbDNXWW2+90l9BIXyEW7vtBmPUdMgs/Zof0G6bbtmHPvShQjTzW/sBIVyCYPgYVcKlwsBjYFYMS5V2L1p1EpAusVi3bfLkyc2JJ55YnAQzGCeddFKZMcpAEXAoKJ/M2HHgzZIGQdA78B8UNhVUq8Pg3c25z/t65hjPhAsgHATY+kirjTe4TuS/fu+eKSLtmaCi8V0vQVGCpNh2221L+t/MTKFjvhcSwbPcbpuhmthCEWQQ9N94441ttxuMKX1AqeT50IfbbdMt23jjjUvdIcRiPyCESxAMH10hXODee+8tg7+XLcmegVhAc+6558ZiXbMzzjijOe6448qyjnKtSZLN0PTaaQn6AyTgN910U3G6ODz6RwroBkFvwYlHivMbBHbIAAVIPa/B9DHeCZfxDuOOvk+xg/wfeO+oefppZcVW0mtmVtHuu6FaO7TbbjA2EO226ab1E0K4BMHw0TXCRdBCCmxpPIUpv/CFLxQ5oZoulmJFvlC9xGKjYfoXZRVH8Etf+lIh/uQQWzmg5ncHASn4Qw89VIp1ml3ae++9S7CRPjI2QG4/ZcqUEkTGumPqJUgbHk0IPMj8FTvfY489Sq0lgb5aC57ZoD1CuIxtmAiiYkGsKL478N5Rcqg9Z9Ko34LzYPwhhEsQDB9dI1w8hBwmD6VBftNNNy31MwyyJ5988jTSJRbrpCmGq29xCklO1RGS70tlxdFDBAZBK5Ar8v/lTusv6kfIn48Kqv8hOLRSiGVIY90xq8CMdo0BwaRZfLP53/ve98oqMGq6IHqklATtEcJl7EKfF8Aai5At7QJdk5ieAZMEfOyQLsFogspQP5TSNtBCuATBjNE1wqUVGHmDq7QOqxchXgy4luWleDGAx2IjNX2Js3jIIYcUpcLSSy9dVjLgsHPcDQ5BMD2QcCNblltuuTKzrkhhnIn+hqVZN9xww2ahhRZqFllkkbJ6RWx0bOGFFy5FHY3f1IPdgokbqhoqRavMqctV63j0O7w/ulnENYTL2AWCkYJLiquAtt29Y0iX6667rqhckmIXjCb0RyoXvtBAU9BZ/wvpFwTt0RPCxWwx6beCWaTBgmBOsgGcw6x+AkchFhuOUUxZ0k+wbLZ7hx12KHn/+pc+x/Ek040UPZgRBHbS0byfBA6/+MUvSr8J+hfGD0sIb7HFFs3WW29dnvvY6JjCl+ocSdHsJuHiGfzDH/5Q/ARKF8E6f8Ln/e7sUyuoPXP99ddPSwUZTWWC8TCEy9jEE088URQFiuO2u2/VkDFUB+ok8q0zKRCMFrxjvbPa2Z///Of0vSCYAXpCuHAuVDYng1TAlGzfMnFqu+y6665lkPa5AdiKIQZ8gXIsNj3TR/QVfeboo48u9YG+9rWvlVWIkHmCMEVzb7311tL3gmBmQMhxZgUP+o/+ZYYn6F8gXCguDjzwwPJ/arbY6JhxWj0VY7Z0TauoMIHiaJMfAktpFsh0pDp1LIK039P+zAILjr1LELhqcLhfxqTWJYw7de9CuIw9+O0Frvfff3/xV9rds4FmnLrlllvK+BSVSxAEQf+hJ4RLhYGlyibloRp0t9pqq2allVYqgbI6L2aXzWJRwhjgY7F2tuOOO5ag2IyrFJAVVlihLO1ryecrr7yyVPkfzZnEYPxBXxHYmTnUtyzPSDmVftS/COHSPauEy7zzztv827/9W/Mf//EfxVZeeeXynIwmse35Q05ccsklpS2rrrpqCdypR/r52URICY7f9773NXPPPXfzn//5n0UphLDSftL8Slh1AiFcxhb0XanOUp6poKQLtbtn7Uy/4kfH1wmCIOg/9JRwAQODAUbxUnmoaiWYreIEyM9WewPhwsykxQZvyKt11lmnWXzxxctMoJWh2m03HmyXXXYp0nZBsdWHqF6kg6juz8kdKzn+QX8BIYx0EUDqW5tttllR5kUl1Z8I4dI9q4QLkuXVr35189rXvrbYxz/+8UIgkJiPJrzPkaEXXXRRs9tuuxWCQN0uEzj8iumhrvwiMEXQ3HnnncXUJnA8aT+jtSqZ9wZSRX2ht771rc3rXve65t3vfnez6KKLNqusskrpu1JhjV1qd2gjuf5w2xLCZexAfzbe6H/6SC1O2u6eTc+QNEgXz55+Hp8nCIKgP9BzwqUVnAoOCYcJsz958uQS6Oy///5lJYR99tknNgTbfvvti9KDQ4xw2X333dtuNx5MgMX5I9XmqJJuZ/WKYKTgsHoveR8dcMABJfXR//Wv0QjIgpEhhEv3rBIuc845Z/Oyl71smv3f//t/C2kw2oQLIEYUtz7mmGNK3R7PqIkbnw8MNv2tTQhTNWAuu+yyopBRgJcJ9i+99NIS6KqdUVOUOhm0UuXwb6h43/a2t73ovs0yyyzNu971rrKQgAkmRIf2STuieEASDbU9IVzGDvyu/F/9028+VLKFGZuQLvrYaKf1BUEQBINHXxEu7WDAoIAxeAigY4M3QSG1B4WLJZIN4gb0dtuOdTMzlCK4wWhBACdAkdooGJoyZUqZeQ76CyFcumf9QLgAEoIKTc0u9VwoHtW/aE3LMTZ4hs8444yy3frrr9+suOKKzXbbbVcmc5j9qEKXWGKJUnDZNVK9tB6nEzBe7bfffs1HPvKRF923VqMYooCxjfRqhMTll19eiKB2ZNL0EMJl7MBvqpCyWizt7tNgDVFj0klqWnyiIAiC/kDfEy5gJtnAERuacew4MNKyOMaKxpq1a7ftWDd9JLM5wWhB/xLsmHGWVmSpcQGQPpd+1z8I4dI96xfCxfOHdLniiiuaI488stREoXQ02+9zaTkIA2pZJIGC6oryS0VCDpiIYFaDcQwEwo9+9KNCGkgjPPPMM8t3QyE6ZgTHccxll132Rfet1V7xilc0r3nNa5o3vOENhXj54Ac/WNR11C9IJW2k0KHUQTZNr1BqCJf+R+2/fkdky8xWJRqMUWkhCymjMj4FQRD0HmOCcAmGBwMth+yss84qBYg5o3KDgyAYOhCYpNqbb755mSWXxiB4SmpR/yCES/esXwiXCjP6asBZ9VD67Mknn1zIFsQEssVnSAJLWNe0o9Zntwa+glTEak1T0pfUlXMs+4wUziEoplx51ate9aJ7NzNT80XaEWUOkgJxQ80zvXsdwqX/oQ8aW6QSWd683T0ajt18882lRhEyrtdjlPNTipnw83y1LiVMwT6U9oVACoJgLCKEyziHAU1qkeK5X/nKV0pRwSAIhg6OHjWVAEOBZgETJ5mzHPQHQrh0z/qNcBG0PfzwwyXgX3311Ut6kOK90oMoVfx/sCsAOZaAUOCKXFWUnWrG8Uca8Dm24rxIE+qV1ns3FHvzm99c0oXVnTHGt0MIl/6H/ojIp7Kiymp3j4ZjjmXpdCRHp9RZw4V3AeUOZRn1GLX1eeedV35v1+0eDIZ0sY0xeOC11M+DIAj6FSFcxjnMphnM1HJBuFjeVhV8swpBEAwNHD0rmpgxtxS5ZcfJwD1nQe+BZFEgXJCs2DriJTY6plg5ImKOOeZ4ERHQK8LFs2lcE2BSc0q9WW655QopRO1y6623Dnq237E80wgaqYMCxU9/+tMlDUlq4WCDV9vVYNA4bDVGJO0vfvGLkvpkhaLWezdYm2222ZoPf/jDpaYU1er07nUIl/5F7Rv6qz5FdSUVqJPmmI4tXamXY5S+b/UkxKfnkRJNrZkLLrig9BHttJrkjOC5USAbcVOfY/fQtV155ZXlmEEQBP2KEC7jHHVQJ6u2goOZPwXVzKgM1mkMguD/Q+FpAZPgHokpcEmufH/Ab7Lttts0u+36uearX9m12WvP3WKjZF/efedm++0/27x59n9/ERnQK8IF6njn+fRsLrDAAkXZgmwQ9A0VjkXVgghQu+moo44qY+mMFAP2ERBW8kegKLVDAIxcULgXGfjJT36yefvb3/6iezdY+8///M9m3XXXLalOSKHUcBl7qH1VH5EWhpBgSIVOmZRyhXg9i70kXDwLnoGdd965pPx5hu64447SBxHkiEzXrh8bX1ltc63Rh6A5//zzC3mqz9vGM41wPP7440ttJvs4hn3863sKVOZYjuO7+ln93r+2t7+/Pd8UbghSE5T2qc+7/7se29bzTZSx37W7j+2s9R4FQfBShHCZIDCgcPTIrBX85Oh0Ih89CCYiOGFmzJdffvlCZArw4nD0HgiXz265WfPZz6zUbLfVJ5vtt141Nkq29RYrN5/acOnmjW/81xeRAb0kXCqQC4ceemizySablGBWcDYSIFStTGZ2XjqVCQvPeytqAC1gM1tPCSdtApGgX0pBnG+++Zp//dcX36/hGBIFESLwm9E7J4RL0A9ASngmPD9qKVG0eCaRkJRoRx99dFma3TbSoNSy8Z3njoKFr6qP1JXEKFoQNEgc/c9nCkpLo5JehyhxLISTCUZpS4itSuQYu33ue985lv30R597Z6jjZFynnGklVhAxyKJa3Bghi3CYCHAf/CbtzD2PDxQE00cIlwkCjqDUBwV0SaM5UaSmQRAMHRwsjpflXXfbbbci7TfrFhKztxDYfm2vLzRXX3FYc8u1RzW3XX9MbJTsut8d3lw0+cDmXe98cR2SXhIuxjmBkWBfXzDOmWzw+UjgGAgUaVTUKYLBelykh7FU8GV89X0NDBdZZJHmAx/4QFGyvOlNb2pe+9rXNq985StfdL+GYo6hbsvkyZNLe2Z2XSFcgn5AO8LFeKmveFb0Z7+9ekSIDqlG+pWag541pMv0CJc6kVgJF8+iZ0NBaauOUcYgc5zD8Z1X4WyELFUMdY3jIV6M5QhVn+mX6jbpw/avBYjPPvvsorSxjecd+eIdMBGAiEJIIcUGmvswI+VfEEx0hHCZQDAr52VpxaKDDz64DGwctrwgg2DoQLpwuPbaa6/i8JmVM4uW56l3EGR/44Ddm6cePqv5x58vmBopXxQbJXv28XOb2284tvnA++Z5ESnQS8JFQGSmdfvtty8BmmBrpGSL51kgYfxUu8bzLpXH826WW2CmphOCQXoE1duiiy5alnK2qtCrX/3qF92f4djLX/7yskS0e6tgt5n5wah2QrgE/YBWwkX/9bsjRdRH0lf87Vnyt36K0NAf9Av91OSGd4pnT1F0fqxUKeoS26qnttFGGxUSxnE99/rvOeecU1QqSBmphf5FuCjca7JETRkkjGfZMT0P6n8hUxA9SBukjHNrH2LFcTzvJ554Yin+K6VpohAulhp3X1qf32pWxXIfRvq+DYLxihAuEwgCRE6wgcjAte+++5YX5EBpdBAEM4dATBCmoCaHj3N4/fXX53nqIUK4dM/6kXAxEy7gMttdazqMBJ5xwSJyQ8BookIdCgVvv/CFLzQbb7xxIVb+/d//vZArQ13meTCGbHnFK17RLL300oXkQLYMdiY5hEvQD2glXDw/CA1EiXQd6hKEilQ8qbpqHulD1CXqvVC5+B654b2iX1a/lU9LLbP33nuXVb8A6YJYUTBbP9SvvAvsp9YLQtZn3//+94shYLwnLPvuebAtYgFxQNGhLRtssEEhb5zXPo5F7Wa8N8kyUUiGEC5BMHyEcJlA4KAZoDg1yBb57QqrGYCCIBg6OJLktJzCT3ziE8Wh45QEvUEIl+5ZPxIugh8z0VIDkA1Ddf4rwaImgZlrRIP0A8SCtMEllliiede73lVSeyzLTHXymte8pqQJ/dM//VMhR1rvxUD753/+57LfMsss06y55prN+uuv33zkIx9p3vjGN053X/u85z3vKfdUcDqUFKkQLkE/YKDCReoPdQoixXsC2WLc1Bf0U6oUBMdwCRf7brjhhuU4arMgcfzrubYfdYq+K62I/+v8tvE8IFT837sACaOt66yzTlGzeu4Qnggdfdx7Rptd20RACJcgGD5CuEwwGETMABq4Nt988+Isyb3MSzIIhg7PE8eRhHm11VYrAYbZOw5mnqnuI4RL96wfCReKM86/oEzNhpnB8ysAo2ARZBkL1X0Q3CFPBXJbbLFFUcwsueSSzX/8x380//Iv//Ki652RzTLLLIVMmWeeeZoFF1ywqFQUz9U+gZ37hBB5xzveUVQs7fafe+65S7qEFGABoDYPFiFcgn5AK+FSa7ggOSoo06T1WM5dX6N80a8oR/VhpAhFjOdFyo93C5UXcyyK7a233rr8jRSwv36vP3knGIuRM8zzUwkXx6vqmkq4WFRCW21XCRfPv/Qix3F87wjtUg9RO5GzEwEhXIJg+AjhMgFh8ONsyWE1YNQAMQiCoUPARpYsaNhll13KTLiZ9sHK/oPOIYRL96wfCReBEhXIQQcdVEiEgfA8tpoAjGJEIKFQJ/Jh0qRJpQ4LgoQaBenRen1Dsdlnn71ZbLHFmi233LIQF9qEnBXcCfS8N9SD+fjHP962mK5UJco5KyTZdqjvkxAu4wMD+22rjQVMj3Cp7fed5w/B4vnQJ5Av2267bVkGGuGicK33iv1t7/3i2XUsx+XLUrAgWJA322yzzbRaS8ZizxtixzOvTyNWHG+gwqUSLoiDgYSL69BHFealmDFp6VhUrhMBIVyCYPgI4TIBYZATECoStvLKKxfn1CDiRTlWBvAg6Cdw4u69994SOKjvIA3BrJfPg+4hhEv3rJ8JF8G+GXFAiAqo6lLuiAfLNesrAiaqk3nnnbd561vfWgiWf/u3fyurCc0666yFBJlRmpDva8oPgkbKkWVu1YEQoAn2pCDUpWprkKhNxlsBnLTeNdZYo5yvHld6kuWjzdqrZaHt9hkqQriMDygQqx+1rgrDBMD6Vb8D2aEgrj4jpcj4WJUnIFCXCiR9SFFa/9r+qKOOKv3UdXq2EY/6lOfXs4xA8UxRpFGMWUGISs2xpRYqjsu/dUx/W2kIseL9ZDUxRbCt3ukZ9N5QkFdfNAmJ4LSPtiBvtFkbPStSlvR7Zt/BFLAeDwjhEgTDRwiXCQqOnkHJQGIQPPzww4tTOhynLggmOhCVAimzcWbbPFMcuLHgDI8nhHDpnvVzSpFZcAE8osMMOMIAAaPorWfTuPfJT36ymW+++YoKpbX9MzOFcV//+tc3//3f/90stNBCRYHieALJAw44oARjnn3BnZn1GY2pghNtRorUdiB4kC1ULwJGM+yOMZzJkBAu4wMCXcsWD7x3CADEQL+Dbykg11eMkVYGQsLU4Fz/9hx4Vild9FXXLHXHftJ2ja/uAbLFtSOhKnlp8pACxvYIFeczqahvOSdCBhGDtHG/ECpqsiBoTJQ4FuJEqhFSB6lQC3AjfqQXOrbtFMr1fF922WWF9HKeieI3h3AJguEjhMsEBmfQAPPFL36xzMobqAxgQRAMHRwNzpiZMMoxcmbS46B7COHSPetHwkVKgVnpTTfdtNR1EFgJ/K2M4jMkiZoqre0dqqnhgqixShEliwDScy9wE6QNhRyxnckPaYiO6fgIl//8z/8sZIXZd8HjcBHCZXxgrBMuwfhACJcgGD5CuExgeDEKCEkxt9pqqyKd9HfSioJgeCAtNpOmsN9XvvKVkg8eJ6R7COHSPesV4WJ8QmogKsySmygwO21m+nvf+16z2WabFbXInHPOWVJ9rCSEJJH6Q53Srjhtq0nnsfKQ1CIpRhQsSAskgmOrx0IpI9g1u+06tWUoREsr7IO0UK9C29R8UQvKkrTeHSMZj0O4jA+EcAn6ASFcgmD4COEygcGRk/JAWmmZaEGiF2dULkEwPKjZIghTv0FqkZlrueaCspEETsHgEMKle9YtwsVz47mi9KBg4fRLISD1py4R9HvO1GORJjT//POXeigM0YLEmF4dFt8hYRSnpSpB0CyyyCJlxbFNNtmkFPFEriAdpDJQyjgXgqLWVenEc41oQFBYcppyBlFiHB5p8BLCZXwghEvQDwjhEgTDRwiXCQ4vRy9KAeKqq65acloFjEEQDA+CMLPudUlZAYnZap8Ho4sQLt2zbhAuyAzPjWOp46DGAyXLMccc0+y5555lNSEkRev5h2KK3iqQq+DtKqusUlY6UUxTHRapScZCqbfOb5xEMii0qSA2VUunIJimMN1www1LDQvX2gmEcBkfCOES9ANCuATB8BHCJZiWBrH99tsXx+eMM84oL83MyAfB8ODZUVTv0EMPbVZcccUyO46ECUYXIVy6Z6NBuFQ1C6KDiuXiiy8ugfsOO+zQbLDBBs3HPvaxZq655irKFQoW6hQpQK3nn5m97W1vK2k7CutKp1VzCUlgFRhEByVNa4qQsRDBoh2K4treNp0MLNR+sQQtQkkA3SlyNoTL+EAIl6AfEMIlCIaPEC5BcS5Jtc0ampWXXsT58/IMgmB4EKRZGUVQYxUwQUsN4oLRQQiX7tlICBfPgGcB2S9gREYiWH7xi18UkgCxseuuu5Zi7sstt1xZDeh973tfIVtmm2226dZhkTrE1GtRg+VNb3pTWfHnHe94R1n1Z9KkSWU1IcVu62ooAlnnVw/GmKdt1ahb1IdBmEr1UWQeoYAU6uRzXFU0VlGpbegEQriMD4RwCfoBCoMjhan/Bpr3ZAiXIJg+QrgExblDuqg1wckla8Ziy1HvpFMZBBMJnA8OsVouzBKvAqs8U6OHEC7ds5EQLsgWzweiwzNy1VVXlcDe+LPGGmuUorcIE8TJjGqwDDTbUbzMMccczbzzzltImnnmmadZffXVS6qQVX+k96ld5llEnLQLEDyj2kh5It1WGpGaLpaDFeB2+hl2vGqdRAiX8YEQLkE/wLuTkkVfHGiW0I5/EwTTRwiXYBo4mOTSigJyfJEuKaAbBMMDx8MM/g033FBm1jfaaKPmiiuuKEFcMDoI4dI9GwnhQkGJZFHkFinyf/7P/ylEyVDIlWoULO9973ub9ddfv9lpp51KoK/OC4JBmtARRxxRxrN11lmn+eUvf1k+81zOCI8++miZtUXSbLPNNoVckHY71sbDEC7jAyFcgn5BKzk80IIgmD5CuATT4IWp7oT0B46YdAiOcRAEwwPlmFl8AcgXv/jF8m8N3OKgdB4hXLpnIyFc1EpB6Ev1kfYzyyyzvOgY0zNkDHKGemWJJZZo1lxzzbI6kQK6xx9/fCl2ixxAqpiNpdKkSpEKtM8++zT77bdfIWDUKavbqBcjnUibBLYIA9tbYtpxLe1uJT+BLUXMWEIIl/GBEC5BEARjGyFcgmkQAN59990lt13e/HHHHVfy6oMgGB48U4I0QYUCnQp/Ws5WkBfCpfMI4dI9GwnhQkGiFsD01Cw+ZxQvlC9WE1IgV6FcqxJZnQiBQpHp2TJOqX/inJSarUBu+h4Zs9ZaazWbbrppKcKrLgsyRpqRce/aa68tNWS0Xe0YzypS4ZJLLmnuu+++MVmbIITL+EAIlyAIgrGNEC7Bi8CpNNN38MEHFym19KJOr8gQBBMNgkBBn0BOICMQynPVeYRw6Z6NhHDR76XWzTnnnGVZ5tb9aw2WBRZYoPnEJz5RFCzGo3PPPbe55557ynGHqzRRuwXBYvUjZAMCxnLQK6+8crPaaquV+mWCf6lHgtyxjhAu4wMhXIIgCMY2QrgEL4JZdw4tx0cKhJx4M5Gc48zIB8Hw4NmRvnD00Uc3O++8cwlEapG5oHMI4dI9Gwnh4nmgPEF2qL/yxje+sey39NJLlwK3O+64YylUe+SRR5Z6LFdffXVJxZP6I01vuESl5426jKJl8uTJzWmnnVbSh5AKJ598ckkdEshajcO5BkK7nXugiqZfEcJlfMAkGLIRwVJNStwDDzwww+csCIIg6A+EcAleAs4kebblobfbbrvilKrlMlaczCDoRyAt1a3YfvvtyxKzUhXiLHcWIVy6ZyMhXABxImhfddVVm/nnn788F4J8BAAFitUw1D9CkoyGEswxrZSkncgVirOZEaDGQOqasbL8aQiX8QH9E1HIL2u1utpWEARB0N8I4RK0hZk8tSYsZWt1FcHhY489FpVLEAwTNcATBCneudlmmzW33XZbHOYOIoRL92ykhEtVfd11111FvaLALdIDodGP44w2CXxNPnhurXTU75MQIVyCIAiCoPcI4RJMF2TVZho5bCeccEJZxnMszOoFQT9CwCZAk4uv2Ocmm2xSghV/Rz3WGYRw6Z6NlHABpAXlFyID8Yhs6ccxRpu0T/Fc6RzSbBEv2t3PkxAhXIIgCIKg9wjhEkwXcuzJuj//+c8Xx8lSmmTg/exgBkG/Q4BJPbb11ls3BxxwQHP22WeXwDPP1cgRwqV71gnCZawAIYpcoWyxmhGiQA0NKU/9qsiBEC5BEARB0HuEcAmmC06kvGHLRG+55Zal2CcHE+kSBMHw4bkSxHzyk59stt122zJjbgY9pMvIEMKlezaRCBeTD1KfrrnmmmlEgXpMdZUYhEw/PrshXIIgCIKg9wjhEkwXHEiOptVU9txzz0K4cK7UcklqURAMH2q5WGFir732ar70pS+VZW9rgdBg+BgJ4XL/XWc1N117avObS3/SXP2bk5o/3n5G88SDk5s7bzmtueZ3P22umPr5Fb/+SfPwvec0f3nqgua+qdtf+7uTmyt/fWLZ/sG7z26eeey8lxz3mcfPa+6948yy/2+m7n/jNac0D0zd9+F7zm5uv/HU5reXTT3u1O/+cNPp5XxPPzqlue3G06Ztf/vU/z8y9ZwDj1uPffP1U49xxYlTtz2x+d3Uf5994rzmz1PbceetZzS/vfzEYtf89qTmT49MntrGs5qbrzulXMeVl53YXDW13e2OOxibCISLMZD6TIHSG264oayWVIkCKbbXX399qT9Ta8/0G84777xml112aXbbbbfyntl9992nmRUIP/KRjxRiJIRLEAQzg3ccH6WdRf0eBDNGCJdghkCscDgVz/3KV75SnCyzeoiYIAiGB88VB0Utl/3337+kF910002lcGgwfIyEcLnj5tMLwTH57KObn11wbHPTtacUUuT6q37a/PJnxzfnTv188jlHN/fccVbzzBPnN7dP3f6XF/+4Oe/cY5qLp27/x1vPmHreyS857p8entLcesNp5bhTpu5/+SUnNHfecnpzzx/OaH5/5YnN+ZOnHnfqd0gd50O6IHDq9r+/8qTm3j+c+ZLjlmM/MqW58rKfNBdMObZse+F5xxTC5smp7bjh96c050/9/PwpxzS/+NlxzWP3n9PcdevpzZW/PqFcx3mTj2kumtrudscdjI13wkXwIMAwwfDHP/7xRWRLNZ8hXSjW+nFMpGo55JBDiopuoH36059u5ptvvvL+CeESBMHMIBag6PO+G2hSLvtV6RcE/YAQLsGgwOE8+eSTy4wYB4vqJQiC4YNjojD1iSee2Cy77LLNcccdV9IUguFjJITLc0+eXwiMx+4/t3n8gXOLWuVvf7qg+fNjU5onHzq3EBaPP3huUbf845kLy/ZPPjR52vbPPXF+8/enL3zJcf/x5wubZ6d+ZxvbImWoUP4ydf+nXzjfY1O/o0pxPsf486PnTdsegeJcA49bj/2nqcd7/IGpbZtq2umzcs7Hnz8Ge2Jqu//2p6ltntoO25dreWH7dscdjI1nwsWzKXhwDWq1SPlrRxZUo3J59NFHx5TyU3upX4499tgQLkEQzBTiAD5Ku+dYvcexslx+EPQCIVyCQYHj6aVqZowTdc4555QZvbDZQTB8mDFShFNKEYn/0UcfXWaL4rQMDyMhXP7nmQubvz99QfPXP11QiA+khc8c528tn/vsf599fvt2nw88rs8QNLaxrXP4u/V8rJ7P9n+f+v//v/3znw88bj22Y9i22NT/+6yc84VjVPufZ156jbZvd9zB2HgmXDx/ggerEg1MJWpnVC5qvDz11FNj5tkN4RIEwVAQwiUIho8QLsGg4CV69913N4ceemjJB/evmhNZzjYIhg/P1cMPP9xcdtllzRZbbNHst99+xaGJ4zI8pGhu92w8Ey7S/Ujkb7311hcVyp2eIWRuueWWUpfJvmPh2Q3hEgTBUBDCJQiGjxAuwaBRV2rYbrvtylLRHCUz9EEQDB81feHAAw8sxSz32GOPQmZyXoKhIYRL92y8Ei6eR3UK7rnnnraBxfRMIELpQuXi2e139WcIlyAIhoIQLkEwfIRwCQYNQaFZPwV0rVqEdLn//vujcgmCEUJwpsClQHXDDTcsgQdFWVL2hoYQLt2z8Ui4eN5MLHj2brzxxraBxfTMqkWULoKSsZAWGMIlCIKhIIRLEAwfIVyCQYMzatWGiy++uPnud7/brLXWWqWYoBm9BIZBMDJIRzjzzDNLahFSEwHTj0vN9jNCuHTPxhvhUsc3qxINNpWonQk8PMv9XuPMdVoqGtnhfWPFtFbbfvvtS12pEC69h2V3LT3umWo1fSwTXkG3EMIlCIaPEC7BkPHII4+Uorkrrrhic8opp5SZwLxkg2BkEOypAyHA2WCDDZrDDz+8kJnB4BHCpXs2ngiXSrZo82233VYKWbcLKgZjlC4IG2mBxsV+JV2ocPbdd9+iqLNKmvG81d7//vc3K6ywQgiXPgAlsZWw+FqtRolFdRwE3UAIlyAYPkK4BEMGx9Sy0Mcff3zz2c9+tgQ51bkMgmB4EJhxntVJ+tznPtfsvffeJQiJEzN4hHDpno03wuXJJ58sqxJRtiBN2gUVgzWEzU033VTuAXVCP5IuxnHXe/vtt5e2CphaDVniHRTCpfdArPhNpKy1miXL1RsKgm4ghEsQDB8hXIJhgXNqwN9kk01KoU//71fHMgjGCgRBClELZL72ta8VSb/0BIFbnq2ZYySEyzOPn9c8+dDk5uF7z2kevf/c5s+PTmn++tT5zZ8emdI89sC55XP23BPnTz32hWV7nz8y9bPHpm7/7NTPLbk88Lg++/Nj503b/4kHJ5d9Heeph6c0j9z3/OfO89ennl+q2ec+c+w/PTK5ee7J819y3HLsqdeozfUY/rWktHM6nr+Z9lkG+tkn/v81Ovaj953b9riDsfFEuHjuTBpQt4yUbGGOITCxApn7MBaDkBNPPLH5/ve/H8KlDyDQpWgZeO+QZSFcgm4hhEsQDB8hXIJhocqvv/jFLxY7+uijS/pDXrZBMHJwpAUs8803Xwl2rJiSZ2vmGAnhctetUwPHy09sLphybPPLi49vbr3h1OaRe89ubrzm5ObXvzyhfM7uu/Os5tnHz2/uvOX08vlF5x/b/Grq9vfcfmYhOQYe12e333R62ffCqdteOfUcznXvHWc21/7up83FFxxXvrv+6pMLEYIQufZ3J5fPHPu6q3869ZxnvuS47OlHpzRX/ebE5uILj2suPO/Y8q/Pnnp48tR2n1KO7bNLf/Hj5vEHzm3uvu305qorflK2vej845pf/Oz4tscdjI0XwgWR+fTTTxe1wPSCieEaAgfpYjJirCGES/8ghEvQDwjhEgTDRwiXYFjgpCrWdt555xXHau211y5LYmbwD4KRQzFEQc7+++9fCE3FdBW5DGaMkRAuCIl7/nBGc8t1pzS333hq89A9Zxfy4oG7z2ruuPn05uapn992w6lFffL3py8s2yNdbrl+6vY3nVr+ploZeFwqmUfvO6e59fpTm5unbvvH209vHrv/nOaJh84tRMqtUz/z3QN/PKuoap578rzm/rvOmrb9fXed2Tz5cHslyl+mHlubkUPa8YebTivno4h56O6zy+fsjptPa559/Lxp11ivxeftjjsYGw+Ei+AAGSJlQ/0kY1g7m15Nl6pkUTy+3X61zsZYHBdDuPQPQrgE/YAQLkEwfIRwCYYNpIvc7+OOO65Zb731SiFdxQKT+hAEI4NnSJHEKVOmNJMmTWoOOeSQkrYXzBgjIVyeT7eROnR2IUiQLdNSiu4/p3n4nuc//8uT5zf/88yFZfvHH5CaM/Xzqd8jNNqlFGmHFCIpPI79xIPnTv17SvPc1P0pUez/fOrQ8+eTUiSNqG5vGyTMwOMy53tCStHUbR1HO6U7+Vz7n08pev7zmlJk+3ItU/d5fOrn7Y47GBsvhMvf/va35sEHH2zuvffeQo60M+qXdqlG6r0INAQi7fZjUpXGYvHrEC79gxAuQT8ghEsQDB8hXIIRQb0Jztiuu+7afP3rXy+Kl7xwg2Dk8GwJ1pCZVC6Wbg1mjBTN7Z6NB8IFsVlVLjMyQa1AYyDpIgi2ggxFWrv9Wm2sIYRL/yCES9APCOESBMNHCJdgRPByFRRyyCwvecABB5SZeelGUboEwfDh2VIr6dxzz2322muvZq211ioOj9nyPFvtEcKlezaeiuZ6nmZkary0I1woPI1/dbybkY01nHTSSc1uu+3WfOITn2hWX3318v6pZhnpBRZYoBArIVxGHyFcgn5ACJcgGD5CuAQjAkeSY62o54477tjsueeexVHzGSc0CILhoQZqaksceeSRzWc+85nmjDPOmObYBC9FCJfu2XgiXGaGwRAu4w2Ik1NOOaXZd999C3Fy0EEHTTOK1nXXXbf53ve+F8KlCwjhEvQD1JGTJqk/DjSrKZogGovkchB0AyFcgo7h8MMPL0tEb7bZZsUJTVAYBCOHYI6CTKCz/fbbl1pJcbLbI4RL9yyEy/gmXGYEqy8dc8wxzQ9/+MMQLl2AgDaESxAEwdhFCJegY7jrrruKE7bqqqs2559/fik0GHlhEIwcTz75ZHPnnXcWOb9aSdKMahpDv0GbFCI1G/bII4+UtnfrPRDCpXsWwiWESwiX7iCESxAEwdhGCJegYzDwK5prFp7U+JJLLhmTxQL7BYJUxpl3HymGFGdUTFUw86c//al5/PHHB21+H4GDfZ999tlyPIExGWgN3iMH7U/4rfx+e+yxR0nbO/DAAwuR0Y/Plz6kj0qFUnDz+OOPL+8CQcOjjz5a+p4+p293ur+NhHB54sHJzX13nNXcduNpZblnK//8+bHzyoo+f7ztjPL57VPNstBWErLEss99ZvsnH5pclmkeeFyfPXb/udP2v/eOM8tKRVYfeuCPZzd/uOn08t2Dd59dzmdpaUtE1+197pwDj8usanTfnc8vW21b//71qQvKSkoP33NOWSb6D1M/u2tqO+sqTJaitq3vtLvdcQdjIVxCuIRw6Q5CuARBEIxthHAJOgZB1LXXXtsceuihzVZbbVVWORhPTnc3IRDlxCNEBNvIFY6VgJWDb2UMTpiglqnrMdDqd8xy3ZxktXbk2j788MMlYBdICI4F7s43GkFwMHL4TTxf0om+8pWvNBtttFHJpfb79Ru0Vd8SPFHkLLfccs2Xv/zl5sILL2xuuOGG0vcQh5V06SRGQrjcdsNpzSU//3Fz2slHNFPOPqq57nc/bR6466zm6t+c2Fw45Zjy+emnHFHIiz8/fn5zy/Wnls/POPVHZXsExhMPnfuS4yJibrzmlBf2/1Hzy58dP/VcpzZ33Xp685tf/6Q58/Qjy3e/vfzEQsAgZ6649CflM8e+8rITyzkHHpchbS79xY+bs884sjl96rZnn3lU89QjUwqh8/srT2rOmnrss6Z+d/7Udloe+vabTp26/fHlOs487UfNuVPb3e64g7EQLiFcQrh0ByFcgiAIxjZCuAQdBScbGTBp0qRmn332KQFiVU8E7VGDaUGqNCyO1FlnndX89Kc/bY477rhCYFE17LDDDs3666/frLDCCs0aa6xR7vHOO+9clgxWxNCKEl/60pdKcEsJITC3nxQUq0ftt99+zTbbbFOKr372s59t9t9//+aQQw5pjj766FKMlePs9+L0cqgRM8iYXpMwzq0NlBHukQDHfUIqIfjcL22+4IILyjUMNNc2efLkaUubXnPNNSVQ4qzed999JfVFQIV06nfCyQpFZ555ZvmN1Uu67LLL+lLlgiSUYoh4tZrJK1/5yubVr3518+Y3v7lZeOGFS/884ogjSuoh4sjv2gnyZSSEyzOPn1eIigfvPquoWv70yJSiTkFqPHLfOc9/fu/ZzXNPnj/12Bc2zzx2XvPo1M8femF7+1O+DDzu35++sChXHpq6DeXKY/efU/Yt53vo+fP5zvmoUxzjyannrNsjbJ574ryXHPf5Y19Q2mxbShiqnL9PbZvPn350Svmcab9r+fPjU5rHHzynHNfnj05tS7vjDsZCuIRwCeHSHUjNNFZJK63m/arvGaODIAiC/kYIl6CjoMigxuBAWd0A6SJI7MegsJcQ1HPSBZqIA4EzYoDTKVjZe++9y73zryWBBdi77LJLIV0Esf5FsPjOdsgTRVXdd0HnwQcf3Hz/+98vhAqn2Co3Rx11VPmcM/zd7363OfbYY0vKx8knnzyN4GHacdFFFxWbMmVKUSVw9qgSukFGCNb1GYTPddddV4gS7UCoSFlDCnHyTz311NL2E044oVzfD37wg3L9rs89cP31HgjuKa7sZ3+Bvuv75S9/WdJdfvGLX5TPnAshw5nVBm3pJ3iOtM+1WCXEtWvrYH8XxJ5j+C07rS5phfeAYEAfXWyxxaYF47PNNlvzlre8pXy22mqrNZtvvnnpk1Y2E3gha9137RwORkK4IDqQKX9+bEohQ5AfiBVExbNT/66fIzT+99mp2//pgpKm88wLn9v/f5658CXH/Z9nnt/WNo6BPPG37aX+DDzfP6Yewznr9rZBoAw87vPHvnBqm58nb5A62ukz9tc/TT0GYueFzx37+Wv8/9ei/e2OOxibSISL50WQi+htNYrBTpGFYwmVcDEOIX49d9W8f5H6JgJCuHQGSJWqcm01z5h3bRAEQdDfCOESdBRVjfCzn/2s1JlYe+21S7Dej6kPvQSyhWKDE3/aaacVJ5Xzut122zVbbrlls84665TVnvxfTRxOLfLFrCGnVo0cZIL/Ixp+9KMfleAbgSIYR0Ywx0amUHggLBAMDMFw8cUXF9LB574X9FLUULww5xAwIzWuuOKKks40Wmql2m8cnyNJQm2mVHv0I/egqna++tWvFqLJ/aDeoeKh7KH22WmnnZrPf/7zhZyybd0HKcX5d02CQfcLScMQUsgqAYL7i4gSBGiDtmiX9lXrNbQJCbbQQgs1VEtIotrGgaht9j3juCM0zJgiXtzv1uvrFBxXgOC3W2mllV4UkFebddZZmze+8Y3NMsss02y66ablt/rNb35Tngnvi+G0y/OQorndsYlEuCAAPXdqYVHEVfMsdYuI7icgXLwnpQtSXBrnW+2jH/1oIV1CuARBEARBCJdglEAZQDEgAOZ8X3nllRNe5cIpNxtlVpSzihgw07/iiiuWWheCTqk+O+64YyEJkB1IAOQBwgWxIMBGDlSVCnUAEkGgiUQw68hxRbpQq5xyyimFdKFaOfvss4tCBNGCdOHcUncI2P0+5PLUE4J5Rl1y9dVXF0UIhYiAGCljW7O6Qw2GB6ISAO7HpZdeWtpMybP00ks3yy67bPOpT32qEC1f+MIXCqGCaHFfbFOJJ6QT5Q7ixPXXe6BQq7a6bu137cz/3QOEINLJeau5F+qMWAEIWeX4zkWF4R76nhoJUeZ37FWQ5byeL9emfRRPVC5IitomASLCQ+0eqp4664z8QHB84hOfKAoTnyGjkHJ+a79rp0g1x0Dm6cP//M//3LziFa94UWDeai9/+cvL96973eua2WefvZlnnnlKX9cnqL8QRK5vZrO5IVy6ZxOJcAleDO+IqkT0zmg1xJSxRypsCJcgCIIgCOESjBI4ZIJ3SgnKDYG/FJGJCsEnZ1TdEI6omiuCXbOB6623XrPhhhs2m2yySQnut95666LWQDKwWp9FcE3ZoR4LR1YQjWypRumCGEE4ULogHDi+yANBt9ofyARBMMKhki7Ihssvv3wa6aIuSiVdGNWB7R3H8RAXnGTXM5yUG0QL0sIsqTYIzr72ta+V60Q2qVPjfmyxxRaFlPI5sse1s1qXppIuhx9++DTFin8RMO4BxQ91jmtvJVyq2sc1IVEE9K6fIZ985vrcK/s7HnLDcZjtFCJW/LUTxMRwgFC5/vrrSx/QX7RPLRT3FrGpwKLr0x8EM8x91vf8655R9vi/foPE83+/L2WP37YT14bEce455pijedWrXvWiwHygIV3UeXnNa17T/Nu//VshI1deeeVm4403Lr+nfvjggw++cOT2COHSPQvhMnHh3VBJl4FG8eN95B0TwiUIgiAIQrgEowj1GATxq666alFjUExMVAiEqRAEwUgWihZEC3UC4kX6EMJl0qRJhWiQWlQL4FalC+KB0qUWweWkuq/IFkoX/2+XXoTsGpheRH1U04sGki6CZMG8gpAUEkgi5Ii/EQ7UOeqiCPCpKIaKWt9DOwTICBbKi9VXX71c+7bbbluu37+t6h6kTK1t4281gjj0lWhCjFSVC/JFOlJrjZpKuiBSqFyoWVy76xbMV8LJ9SuQWVU+/o+ocd3a61+EjXvUKTXIUOGcFB+UPEgq90Y7BTxSHZBrSBT30f3TP6SF1boTyE+/qc/0D/fZcZh7oq92ojaA4/gd3vGOdzSzzDLLiwLzwRoS5tOf/nTp09o8I4Rw6Z6FcAnawbvJu907OIRLEARBEIRwCUYRZtoFhVJCBH1SBHoRnPYarlnwgfBwL97//veX3HeEC7KFQgHxgnCRRiO1yOcIB9tLpampRZWAoPRQKJej2ppe5F/G2UUM1PQipEMlXQTjiAekC2e3lXSh9qikC6ULpQQ1h0BXsH7HHXeUbSghONW+QzoMFggBx0AYIZ6kDn3yk58syxxXRYugnypKOhHC4HOf+1whnVprtyBdkAyIF/fAtQvyKCFaiZd6D7TXdSNOkC+tSpeaWlRJF0FAJV0QLtKIXLt74P/2oQ5xfp93Sg0yVCDx1DvRHmlCZpRdC6LFvUPY+f1I/D2L7droM8exjZo5+o36QQIlCrXhXJd96nHVvNDX5ptvvlIwtzUwH6whavQL16mdM0IIl+5ZCJegHTz7IVyCYPyhjuvTs+H4C0EwURDCJRg1eAGbJRfoC5aliZhZn2iOuEFIUI4IQKa8613vKkHJEkss0Sy//PLNKqusUuppMMs9IyKoPmwrxQjxIoBGRKiJI92oEhBUHjXFqJItFC8UKAJwKV1UEFXxgniodV0Ewhxjag/BLPVNJR8oH/5fe/8DdVtW1ne+BPmnEFFK0aPgv9ILaBlFFLRUciKmNBAEB8GgME5uV8C6XhIaElOxRshVCQHjCTW0kcaUHpsrwiC37ustcFQL1RxpL14HlXvSIwOj1ac71yZ05YS06UFX6pqI3NPrvp91znNqnb3X3u9a+117v/vd7+87xhz739przTXnM+eaz289c64SH0R9EB9EdBAc/CZKhHDBoR/zRBkChf/W462tJWINm5e//OXtdyIZPLraOXslRnnv3CvCxzouxI6aYiTix/k770XTiwzmiU4lOFXEi/MX6WLQX4JT99wJL0QXwpLk/H1nHRxh88pV5M+qT9U5DOzKGgqEIGVCnFNORDnnLY8EDyLXMlHMfmwj6kh9mnZksVtilrVTTP9ahnZuGoFoJwtksxNTs5Q1YexVr3pVuziuR0N3HfMhyVSk5z3vea2Nsh35XEYEl82lCC6hD/1JBJcQdg/RsyKbTTueTcb2R7m2XQjbTgSXsHZMSyEKuAvPkbUOw0nqlJ0rx5cjK3rAgqDf8A3f0N71/7Zv+7bmO7/zO9v1KpQPEcK6FabX2JazKurF04qIDyI+RH+44y/qhVPMqRXtUpEuhAeOZz0Smugi0sPUDgJBd20XogHxoTvNhqNuHZMSIEqEEAEh6oUzbXvTi0y7GTP1xH4sdPvc5z63OX36dPO93/u9bZQL0UWki3MW3eN8JYKTyBeLCYt0ISYQXggMBCfnX8KTwb19E11mpxeV6FIL6cp7nXtFuhj4dyN96pwJTs6TGEFwMcWK+CICxLFtf5AQsC7YFsdWXYoS+u7v/u62nOSfyDcG+yKeOGe2ZCog8aRvrZoSUwktjvPggw+2ZUOwY2fqQtQW+/YY6K5DPjSZSvSt3/qtrQhH+HGsg4jgsrkUwSX0oa/Qp7r2uDbV1NVFybVE/63fiOASwvZCWHHzrU84df03DjI2CCHME8ElrB131w2k3DXnDHLqT9pg3JQOgoY1Wdzt/+qv/urmWc961jXRxSN+/8Jf+AttxAfRRdRLN9rFGi+1vklFuyjLEh8MbDm57hRyOrvTiwx8K9qjptjUorocdeJDTbMx+O1ONeqKLtY68dn/LWLrv0SIMRdYZeC/X/EVX9FG+phe1RWdCDDd8//hH/7hawsKc7yJMMqgBCfTZrrii4V0CU7ErYpysb7LbLSLc69pVnX+Fe3j/LsCjHMnutT6LoQWUS9eHY8AtcpaNlNB+FAPxChlJeJGfmZFkqGoT8IoOxJBJPLJ06QKvxNAiDEeK64M2KR1idj0k570pOsc8FWSBXSJLY4vL4455HwiuGwuRXAJfZTgoj/SnxPNlyU3FNxs0HYjuISwvURwCWF1IrgcgMGDDoRoIHk/dPAfrqCshCFy1g2uOL4iBnx/UsqR7bj7706eR+QSXZ72tKe1osM3fdM3tc6l6IQXvOAFregiykWEQYkuohdMMSK6cG5FuZheZBqJ6UVEB2vkcH6JLiW2SLW+SS0sS3SpaUYlPBAdaqoN0aU7xUjy2e+m7xA8ROD4P+FhTB3aXl6+8Au/sPmqr/qq9vyf/exnt9NGbr755muRPjXVyrlb66bOv0QXglOJLgScEl2s76IMnLfjiHZx3pWIMF3RqSJ9SnRx7h/84Adb4aXKgPBU04yILgYXooD8x3GPMsJFX2RakfoURSYyxTonY6KOZqn26rzZmDvP6s1AyzQsZep7IqCpYKKVvv7rv76tzyc/+ckrTR3qpic84QnNU57ylDZqi6Az5mlQEVw2lyK4hEWY/qfv1C+JJFyWTD20nf7Vgt4hhO0kgksIq7NTgks58CWKcHKtrSBxQEQZ6BAk4ekGhBZ1dTd4UeK8mLf47//9v7+WTA/h5PRtL9mnfVv7oI4nyYMkP10Bp/K9yygLa0SIVBCJ4Q6YsjgpnbP6FQlBDLAI6Od//ue3oovpRaICRHpwXEt0qSiPEl1KdHj1q189F+VSa7oQG0p04XhKhAevptqI+uhGenRFlxIdJINgjnVFvPiO0y1yRLQNQeQ5z3lOuw9RHmOwxgeBxwKq1ueo6VX2R3QR6WJtm5pe5dxNM3JcYh0nvxYUdv61IDPRheAyO72ohCYiQYkvXdGpu66N83TefaKLKVbqT5QPEYBgY3FaeSBMHJUda0PalfMXySTP1aeMwfb6I/vTd3F81K32KnLItDRPg2JvxDZPHXr605/e2vDnfM7ntBEpXae7ku8JMOqb3R/0aGj7YhdEOJFFpiqNKVu2/o/PvrH53/7dB5o//Q/3NZf/+MMj03/TCjXe/+//8cO9QkPSlRTBJSxCRJwoOMLt0GSsNWTaYAjhaIjgEsLq7JTgQsjQ4A30XLxd8Dl4Bu2ejCLs3hoUpgVYp4BT5a49Z6svcQw5lRwZ62FI9QjaevJL3/84bhwfDoPOyTGF38uDgYU8uWtLuCHQECOOYtHNTcKhI3hxVC14Kjph6LoMuwKHnRDwZ//sn22++Iu/uHUsv+RLvqSNdDHFRoTAN37jN7bCC9HBuiZEF2ubiCSoNV1EeVjPRZSBxAkmPJhewzkWhUIMEOki4oETWq9EF8JDCS+EFHXCngkPxBdCBDu3D3UlqsaCvgQR0TimQ33BF3xB2w7Y9xis96HdPfrRj24+7/M+r4104biLkDC9qkQn06v+4l/8i+3joh3buROcSnQRiq4MRPqIcqnFdE1BUQZelTXBqRYQ1o4l70W6EBGcP9Gp2rO2W5Eu2nAl04wIUQQaAhcBiDBGECIeHhWEX32LqCh5Jw6vgn5Tf2RA5VwJUiJMCGFf+qVfep1DPSaJVmHnhDT1y877tqt0ww03tNPI9LurwMZ/9h/9veZT//r/3jz0736jefiP7h2VPv1vP9D8+wf/H83D//7e5k//w4d6hYakKymCSwghnBwiuISwOsdGcHH3VWMmpFy6dKl9HKppKUQNDhxHyh1tDpY7/O70c7o4odbN4IRZ54IzKnnPUeP4c1o5bpI71j77nhPLubKdtTIq+Wx+st8r2a625fy50+448sLx47zKD6ew6xhb14RjLO8cWHfU3UV3d1lYrnMVVVOizHGNhKk76Dprzr9FUEUNWED3pNAVXCwkKrqjphR9y7d8S5usZyJxdDmopho9//nPbxeWLfGh1nQhOLDTSmyybI+zzPbYnfKupH1U1IvP1VbYJTuuiBmL8xJarAkiyoZDb8rPlIJLRfkQnKSv/MqvbJ7xjGe0525NG4vq1nmLqnDef+2v/bVrj82WPwuzyne1uxJbpJpe5FwJSJzASiU6lehSohPBVIg70cWr721rf8rF8Yhh6uimm25q80WcOSpEtwjFZw8ibYYImNUWCZ4WADZdSl2aksSGPLJcXRP/1DPRpOtQH5SIKoQz9aVu2BcRT78naqnvP+xB9AtBUf0YvI3BObk+sPs3vP5Hm1/5Jz/e/NzZ/3Pzj99626j0M29+dfPWN93a/LcfelvzP/+P7+sVGpKupJMkuIj8cpNEe+smAqdr83G9LofjAWGdrc3an+upfi+ETRDBJYTVOXLBReM0+CcmcBaEoor6cHExwPGoMZEhxBWN2qJqHLa628wZIlpwhKztwBHjkAmFd0fcVAxOYzmopiJwJiXbc9rcLRc1UMlngoDta9oCh66Sz6Z02JdUj7HtPkGmxBdOhsQZlEf7d5feazmM/m9/9utuPAeQ42d6gwVmOVLO3ToKnvhDpOAsKSMXYmWm7AwKlaUy3cYBoHwZJHBinau6E3W069E9RVdwITCYlkFU4dwSVQgMIjusY+I7YgvnRSRFRbtUtEc9vYidsh+2V6KL6UUiUwh6ptcQC2q6TQkRJTr6jn2yW9OVanFawobjEDuIHkQGUQpTCi72IcKH0KI8RPgQXGpNG2XguPXoaIuy1tQq7Vl+tfdqc9pbreVCePHeeRISiEzWsulGqon2kZwH8UXUi6gfr2zT9gQbZaZPsZ6MfJgC9bVf+7VtOaiPoxRcRMwRLgllova6g50SVvQLBkKmOlaYv6gYkTuEEOfInggt7M06LKb/dJ3o2WSaECHGArnWWxGldOONN7ZlQ4RSJ8qUgEwQ+sQnPtFGUOlTTS+anYJkXSMipHqyJk53kd4hOG+OL3v/67e+snnt/+nFzWv+s7/U/Ohff2Hzute+tPnPX/uDg9Jfe9X3Nj/4kpub97zrjuaBf/Ff9QoNSVfSSRJc2JYbIB7B3k01Fabb7kKYGuMmzu6s/bkhl0iysCkiuISwOkcmuHAGNMya/kNc8ahVDdfTQTgCoj44he6UckjdceWg1p1/Uw44YBwvA/m6Oy8KhcPJkTDw41TVXe3ue1MJuskxiR1ea4qFtS2IHzV9yGd3vk1FIohI3teCoz5zKOtJJ95XMvVA8t529uU4nDx5skaG8xWRI8qGg+0cOeDf9V3f1Q5kOcCcduchr/bF0fJkElOnlKUyNX1HGW+b8KLODRQ4qZxp5a7uTwJ9gouoFiILR57AQUQh+Kl/4kmJfAQFoorfCIgW1S2hRtSAaRglvHB2tQX78Nm27Eh5syntpQQa4oz1P7riCzHMvogZ2p68edoEG5xScOGoi4bQrkW01FOKRI84TndtF8f2m8V0TbHS7okEJaYSnkq01P5L5HR+3tf6NsQX/YJXznlFxDh37U6Z2B+Rp56YZDqX4ypDdaXOCEMEoqMWXPSZhBPnYOpiDXa0e0Im8ZpoTai1+LE6U0YiUExrI5h4/LL6WLQOy2yyrf+KzmKD6kEkFRFcfog6+qBZAZhork9Xr47Z3adoIXapDyMMje23bO9Y8vGKv/pXmpu+/unN6//GDza/8HN/o7nv3n/U/NYH/3HzkQ+97cD0xp/Yv9Z81zc0/9Vdf6f5l//duV6hIelKOkmCC5vU19Wi2ZVcdznDbC+EdcHRdXOqa3uSCEVjvhA2QQSXEFZnY4KLwb8BmMG4C4dIFcKFgVk77/5nf7aNEnF3nRPF8XS3vZ7MItUjYbtTftzF5ixyoGrqjik63teaFQQNUwek7qNiu4+IJXyImCEA+M5738tjpa7gwrmoRUUl7ytxKAkuolMssCl130tEJU86sSAnYcb2HCeCjP0RZIg8RBX5dVfeuUnuzisvThankkPOaVYGztn0KuehjEXFWDOmK8IcJY4vKocDqI6dj3M+ztOlhjJEcGHz7JxwqE7VMaGAGMcGtBd2zHa9slu2yHbYkzp3HFPtRD6wM/bIZm3bFRfZlf3ZL7shQBAeCD0l7nCmNyG4lKBCHBIhUY/DVh7sRMSNyBb5IbZ0o8P0CSLR9AnElhJZCCjaR001IsJW8tl2FSFEpKqoNP2L/RMAKlJOvogw2ya4iFSxdgs7+Wf/7J+167C4Ey8qTp2zG+Wi3AhXhA31J4qF6GGRWnXRdZhnk99FvKgf08vUBZt897vf3bZdTqgpnoTT6mc4oNpzt027G6sPVY7W76n9q39iWU2JWtV5dSzT5P7m33hNc8ffeUXz1//a97Wv9937s82/+cN/2vyvl+45MP3yO/9W8wN/+dub/9t7/n5z8ePv6hUakq6kCC4RXMJmiOAStoEILiGszloEFwNfjU4YLufagMTdV04gcYHDxxHgUHLsOD2EFs6LCA53k00f4HBxtjhDHChOBafQHWqOa4ksBtnunHanCth/OakEFw4qB4GTWtMGvBI0OKLElRJe5I/gInEQODQSsaUSJ5coUgJLCS8SJ4QDTGQhqFTiEFfiGAud5xx3Uz1+VgdmcV9OlO/9x3FE0sij81QOHOQSn7rOJYfIOdpW5I2y55zpMN31Poxjc1iIK6ZDqU/5J7qwE3fEdxn1OERw0R6IHuqRvSsftsou2aM2xDllK9qVCx2HV3i7aAaOr8TB9Z06t411gfxHpAOBz76Ii/atnWhPxAiiw6YFFwvlejKRPoBDL7qmonAkETteiSGcc32H8iG2SrVmDeHItJRq+6YFSfoH3/lNf6Ee/K/2q7wJNParryG+6HfUBdFXVI2pVdsiuOhjtV8OoH7KebAP/YTPInoIURb1JbSos4OElUoiXUS+WCzXNB+2ar0hbZWYrV/RnxB2tOOhYqk2znbZuf1bs8UrG7NPa1UN2c8y1P/fu+M/b+5+z99v/vbrXtb8nTe8vPnlX/zbzYP/n3/a/KdP/2avcNBN73v332te/rLvbn79n/5U8z/+y1/t3SbpSorgEsElbIYILmEbiOASwupMKriU0GLwoeG5GBAViBoG1YQU0wbc4bRegM8G37UmA6eHYGBgX2tMcBw4QT5zqAz4u4mjVZEds6KLz5wr7w3o3dUnvFRyh5+zSYQRTVKCi8RpKeGlRBciC7HF54pyIYBwuDiRhJaKevHed6JZiC0iDbrCi8+cZlEIFsnljJcAwykmtOjEiC46OK8Ge17rqUeiV/zm//bFiZZf06U4lJxGopWwf2UtckJ5mYJkTQUOkPpSb5U2BXGFsMSB5rQauMrPJvOwadYluIgW8hjf7po+EnGDE+u34ya4ODbBgwhSi9+K3NJuS0SsqB5tSHuRF3ak3ykByvpPprAZrGo/zp/YqR36v3atzRBjtRt9ijLXD4maEUWzLYJL9a/Vx6pr565/M92ppjyJYhHBMlRgkYgskv9Yn8W0zZqqVZGFohM5nqtGysmzelKm8ueJRI6jr1RPU+A6UE8p+sDeP2j+4U//Z833/IU/1/zX739L8z/99+9p/vf/2C8eVIrgMjxFcIngEjZDBJewDURwCWF1DiW4GHQbaIiYcDddoyNEuKNsUM1JkTj9Ugkr7lDX04A4d5xLERoVpSHyoRb8lDiBvpMqqoUTyjnyyhkjJBBX6s420UXy3l1trxwqjpXEceNoEmIkohCHtk908d56Ls6Ng+aVs0p88blEF45DV3SROHUc5BJaZkUXqRvpUu/dQSZIEEeUq06O2FKJ88zZJrpI3tvGfziVNaVElA3n1PlxWJUZZ9Z0CVEEBsbOhwOvM+UQc6jWjU7Z9AcimKkd6kiH7W75rhLBZRrBRRvVzoiZbFz7IEASVkyfIww4DieJjYn2UQbWF1FeJbpoG0TTbRVc9K2ESedgbRP1rG9RX/JY9WGxWvUhETJM1yGaHLQmi6gV/7cfU6gI3epU2eo/OJPsgV2wj1qTZVVR1P+chzK3To/1hPTRorJEQ04BweUf/+wbm09/6v3Nv/vkXvMv7r+r+aX/8m81f+PHfqB56z+4tbn/o+9ohYLLf/zhXhEhgsvwFMElgkvYDBFcwjYQwSWE1VlJcDFwNiVFR6/DNzjndBhkcVQ4S6JYPNXEQp0WneTcW9iW2FKLWta0AOuwcKxEZHC+a10WToWpMcQXYottvfdUIo4r50jynuDilehSTyOpSBciTH3HWeG0zYouXokSnK9Z0UXynoNaokt3epHPNb2Is1Jii+Tz7PQiYks3LZte5I4w0aUrthj06fQ40MQWF+JKFqb0aiDIQeNk6ghFwciHc+FIumtN/FLOypAzK7+O6b+cvHVOO2JDHDjOv3rh4HOeiXe7SgSX6QQX+9B2tBt5YLOiJDg/juH8XfxLdOHU66u0D6IkWyPYbJPgok0QHLU7dSkKTf06T/2M8tZ/WuNKXogqQ6NYTN9R3p4I9XVf93VtFIy1cPTJzlX/RvxlS9ogZ1kZ6nf1o/q9VYWWLq4Z7NBUUXWrf1NPU+wbBJe3nf37zUP/y280f/of7mv+139zT/PPPvqO5vV/8webv/36lzX/5B1vaD7xP7y3+Q9/9Bu9IkIEl+EpgksEl7AZIriEbSCCSwirs5LgYnDhTjLHhYPi7qiFLj3WluPEObMGC2fF2gJEFM6jAbYoFpEtHEqfu49xJcJw9ggvHL9Z0aU7vYjoUoJLpZpe1Lemi88G493pRSW6mFJU04t8Fs3CqSvhhUPG2fVaokt3elGJLiJJOF+cwW6ki/e+m51eVIJLd3oR8Ypj3p1epJx1aMQWnV2JLl45L+7ul9DSFV50gAQXd/5dmK25wCmtC7djcuKUaQkw6ks5Or670ZyudcHJMu1DWRDoOP9TTS3YRiK4RHBZhn6V2KFNqF99kv7SE6hMxfQo6q5jOyapL/Wnnetz1TexQ5kpn9l1WEScsB12IB/6iylEEXUi4kgfS2ieeiHvruDy//v//jfN//4fP9x89uH7mvff/abmzT/5f2xe/MLnNr/x629u/od/+X/tFREiuAxPEVwiuITNEMElbAMRXEJYnQMFF4NhDUhDIrJobCJGDNw5G9YGERpOYLHwrTumnvpBhKmIFs5jPTWEuFLThyTfcfhLePGZQMPp8z0HsDu9iPPFEXXntSJdhk4vkrrTi0S0zEa6SL7jhM1Gukw5vYjIwmEs4cVnqRvpUu+HTC8S6UJ46YoukgFhV3Qp4YWTroP0v3JA5U2ZKDuimHUb1Is81JOOpu5M3c0n7BDV1Dmnn7O3iwPYCC4nW3CpvlRkF7uXN1Es8q8+nKd+VZ9qoVvHeOpTn9qWtcVlPSmo69jOJlOIPHXItk9/+tPbfYgmJDbrs0S56QsMmpST9qyMtLWu6CGP+gtRewRY/RqRZArq/E37YqtTii2YF1zOt9OH/pf/+deb//f/679s/skvvL657dUvbN72j25r/sXH/knzmYc+dN30ogguw1MEl80KLtoKgVL/Jj/EWe853NqS8vb9UTk9RFtTy5WTiGJ9rL53WymBW5/o2iDv20oEl7AN1LiSzc0mbWl2LBFCeISlgouLtgu4wbbOnYNmQEtM8XhQDpLIBO+Fp3MUDdAJKZylemQr593AnxNDVCGocCht251e5DcOPierRBrfV6SLVNOLpL7pRZxTjiMHzeeDpheJbuFszT69SARMn+giea8sVp1exGHmLHYFl0oc6a7oUqkiXQ6aXtSNdKn3BoWc8m6kSyVOqle/2ZYz7jyUoTrgfCs70Tvy4e67TneqtVbYmI5a+dSTYeTJMXat41Z+EVxOruCizcibvIouUQf6I/VMmHb+z372s9snAynfJzzhCdc5srNJGdruy7/8y9voF1OFnvnMZ7Z15LHa+ln9jfJRNgZFxEyCh3bX1758x46UjXIg1hB8ledUOIayWIdTOCu4EAaILqYX/dtP3N387n/7XzS3/+0fan7y772qXdvlf7r43uZ/+3cfuLaYbgSX4SmCy2YFF+3WWEzfQSTQn7tJY7qyft113JjANVrft2mUg/5VnvSn+tltFlz0hcrKdVB/Z/y0rURwCduAfk4/1Jdmo2RDCNezVHBx0TZQ55xwQF70ohe1g3lTh4S5v/rVr24dRA6J5DPHgeBCLOG0iXLhtPiuRBcOhtd6zCvnkmNFbKnoFf/3PSfc5xJdRK8MmV4kYoID2Te9iODi+5peJKqDI0d0WTS9qCu6dKcXEVhmpxf5PHR6EaexT3RR5puYXuTVE13caeeYizbx6jd5URacN463uvI0J4MUg+mpOleOl0GDumRDooQ4yOtwyI6SCC4nW3CRJ/WgPyI2++/nf/7nX+esjkmPe9zj2qf8yJvImIou9OrcPvWpT1098jC0ZwMq/QubU+/KSzTKcaFPcKlkepHv/ut73tI+veiFf+nbmvfv/YPmv//4u65FuURwGZ4iuGxWcFGervPGQvpA/Yh2r790rTDG0G717UchdIigM5bRH9a1aKrFsNeBa6M8u94aDxKnt5UILiGEcLzpFVyolaIOODecDgPv5z//+e1jR4ku3elDHJKu8OJ7FzBiCqeRY2E7kS725btuRIvtKnGufD87vch/fMfx4gxV8rkEGqKLwUYJLt5z0ggvi6YXGZz7jqM1u6ZLTS/ymUPWFV5KdPG+b3pRfe5OL+Ig9k0v4hj1TS/iFHMKOeld0cUAoUSXim4xCCvhpRvpYjDYFV185vB1pxdxUisRXYgpHHSJEGN7x3WeylH9qj9Ouu3ZyhQQVwwU1Rtnm9jEBneJCC4nW3AxMFb23/Ed39GW3xOf+MS2HLrO6qJU04XUhQXI9ZP6KeegXrVb7Vq70T6Jl8pKWQyJRtP+hNT7P9FcGejfOExTRbNtAn363/wbr2n+7t/6oeaNP/Ejzf/ljldeS3+/TT/S/M0fe0nzl1/43OarvvKLm+/+zq9vfuSvnm7+3t/94XabH3zxdzT/h6891bzsB7+ree1tL77u/0nXpzt+/K/ul9EPNF/y1C+4zlYjuKwH5elYbpzo00S76rO1dWMLfZ5rv77gKISOGi8ZK+hPpG2+463OlJVrC3uN4BJCCGFdXBNcXBglDpuO3cXH3RNPGDJtSHrxi1/cLo4ruoUTYmpRrdfCEfedhVc5BASWWqeF42I7Tpz3HDoODRGlBBWCy+z0Iq8cLtv73vaLphf5fnZ6kfcGJF6JBcumF3FeDBY4Xt5zQodOLxL10RVdRLnU51WnFxFdDppe5IJb0S0luBgUluhSYksJLl4NEBdNLyKwuLAbhIh0kbz3m2OK2lHGylukkfKxL4O/KQac8kgE4HArP/veJY6D4KJutTftVzs2VZDI2hVcCA0iM6yHJB/qv5sMAOWDkyIfBv/WLLH+gPxoDydRcCEgOrYnt91www3XOakSUUXUCvv4oi/6otZGTBVSLtbJ0u/qr/Q5bEA0mzbqfJWtc/VZ+ejvnAvRtwSZuuOsXGzvve9MU2BH+iOOh77UMXy37U7TLM7hV37lruaud/6j5txdP9v87Fv/bnPmlS9q/uILntOcfv6fa9N33fwNzbOe+fTmyU/+vObLTn1h8w1f/xXNn//ub2x/e9Yzntbc8IVPar7+WV/RPO/bnnHtP0nz6fnfdVNbRk964vVT3yK4rAftVpnqX4mgrufaub5RXwbtv/o5YwD581l71w9ai831osYCotfs0/m5RviOoONmir7KNYuwU+sz6A+ME+zD9sYL+g/9rfGaa5Yxgv5GX2+/3uubjTns2/XIb/bnmuX36sONNUTm2dbnyr/8unb5Xt6cJ3FY3vSDlTd9lb7eMRzTf21bx1N2fncOjuX64XqnX91mwcX51DSybnIe+v8QQgjbzTXBpe5IuJByPDy205oAHC13uV/96le3r6aXcAxf+cpXto5RrdPCMakoF6KL7bvTi2zTnV5UIgoHj3PjO1NWfF+RLkQXye++54SWuEJsEb3i1V1523OUZiNdJOKA7w1OOJZd0cWF1l1RA0SO56LpRRyy2elFHGCJw1brt6xjepFBwaLpRQYcxBYDlhJdvLoY1/QigxYDFslnAyX13BVdDE66oosLvIGKZJDm1cDIf5yzuvPklHLMONSHdcwM6gwSOfrqTfnsEsdFcHFsbVU7lqe/9Jf+UisSeMw7wcWjhUVnyB+xkZ11ExtjJ+yI7RhAG5TLj8/axEkUXORHGyJQmwrUdVIlZfLkJz+5+Zqv+ZrmW7/1W9vjnTlzpt2/du6/JVz1zZf2mVPh/AmW+kX5Yz/6IHWiLthEOR5sR9Sc8zZ90/GIvfqB4xTZUihjda8dSPpTbUubmy3vpPWkCC7rQfuuhD7BxTVAezZuca3Rr+vbtHd9s/Ve/FYRv/pC1wftXf/qO/2gsUtdB9wIMzYg0Ipodd2wD3VM0HVNMT5wc07y2Ho3mpQPccR74wTjKVGR+jO/aauuX37Xxzu2vljfrJ83RvOdG17GacaHvte36f+NKd2w03fpF/VXkmujMZbrhPGca50xkeOpL9c/1y3XU2M/fbtr3zYLLqIPXd/kv5uUO9sMIYSw3VwTXDhkkruonCuOladlWBCXyCLahSPM+SjRxbYG6H6rtQMILbPTi0wrIpiIYqntOFMG+BXpwnkjuvRNL/Kbzy6u/uM7zgTHiOji1WfiTEVfdEUX7w1Klj29yIXXnGiDDhdpg5QSXoZML6rvK7LFa4kuJcR0RZYSXSSfOdEGTSW6zEa79E0vIsJYQM/gpaJbDCxKeOFg1/SiElxKdHGxVt8lukglunjtTi8q0aWEF787pjJQv8QX51t3wVaF4GfAqMzYCHvgLB9Hx6+PbRNcDDrtV3vQvrRXES0GoBx1SfuXRLaZSqjtl/hgW/nV/okI8l1tW97lm6ipTWk/jqdtaaMiPAg3Fnl97nOf24o5L3jBC3ZacNE2tBHn8gM/8ANtRAsbMF2TmM2x4Vg4N/nU/jhKzoOj4/9dh2sRfufs+j+hhTPhfPSf1Y9yXgjX6kmfqg90HmyJY3Vc21yVTyXOp7qL4LK5tIuCizbo+qcv7SYCpj7GtWvT9Aku8qGvdw3VH+vb5FO/45quX9EXuobo74yJXEN8pw/U5xlfiXxxbrbTflxv9CeuJ8Z4+g0Cjj6VmK6/0M8YR+nr9cGuMa4BJcjok+3XcY3t5FOZGsdYF9D/jCv0ecYT9ufGn+0cW1v+K3/lr7RjPeciz8Zn+lKCkc+Sa5Lxneuc/l1e3fzz2ZjNOE2dyY/xjjJwndpmwUW96v9LVKrke/1cCCGE7eaa4FIRHaYOcSo4AS5knC0XORcxDhnRxR0MYktFurgTzuFyx6FvehGRhfNcUSycMtt6b/BfogvH3eC/nl7k+4p08cpZqMgYnxdNLyoHrSu6cHRFufjeIIVj0xVdanoR0YUTyrEzAFEmPhsMeB0yvYjAUqKLgU+JMEOmF81GuEjLphd113QpsaUEF45oN9KlK7h45aTORrqU4FKRLgY6Bktd0UWyPbFHmaofgxr7MtBaFQMHgyD5Vv8Gf86PiLALg4qjFlyUq8EtmxPZop1UORNNKoLNXUrtmphqwKsdE0C0WwPXimiraYDapfZbgqc8m25kYE1g0WYcT961E21Nn1ICjr6EuEvQMG2RkGNQ71i7JLgYHMuTPkFZqXN9oOOpX+ekTWl76vEwUWOOxeEVhl7RTOpCP8YZ5hixJ32W+vnoRz/a2ojj7tIgXnkSC62ZI4LooEQEq9T3e6uw/joAAJMESURBVNLB6eabb27b6i4JLpxdbUPf0k36FxFnR9Fe+gQXuJ7r1/SfBFd51Je4hvuP64U+Sx3ph/SfxBX9g/7W9aamHrpemM6orzUeUAbV3+tL/Fffqs/QdxpL6euJJvoW/Ztj6oOVkX06jv/bJ+FEf+wmnz7K+MM2Imfsj+gu365t9qO/NdYrIVrfbcyqb7cv/zdmlQ95c82VH9cj+dXPG4epT3k2llGGymKbBZcQQgjHm2uCC+dKMk2E08P5I7i42LqAcY44Hhwzgko5Z5wlzhlH0RotxBXb+FyiC+eJ80JMIbBw3CTbciw5bTW9yO8cuRJdXNxLdJFs5z+EF3c6SnQR6eK9fdjeXQsDkRJcKtnO9xyOruDSnV7k4kto4YhUlAuHaHZ6UQkuEuelIl1KYDHoMYgo0cXn7vQir93pRS74FeVCZJmNcuEUcTCJEAYSJcBwvEt0MciQuqILp7xEF46pgYv3EidrVnThuHot0YXD3ie6SPKlzDik8mvQc5jBZzmK9kmgUzeO6/vjzlELLmyC0MBGCWXaNRFBMpAlgsgDkYXQoD1rh9qkNqW91ZQ9g1TtQVtg/2XjEhtn12ycPcsvp99n32sHBsEEDuKLdiuqhQ2ZViQfPhN2dklw0S7Ysbao3SirWuRSHjluU9u5Y9qvclAGBBg2owzqLjG7EUGzC21sFufp2iWi6rGPfeyBycLERAOvj3nMY3q3SVqerPVk6sguCS7byDLBRR9srKSfgbatret79JvGL4RX/brrgt8IIa67+ubqC4wp9HH2r5/Sl+h/CSauH/p2/a5+Rt9ZgouxgfGU64nrd9cWiCnGZ/py/bZjGGsaP+iLIP/GZK41omL0X45jvOmcK39ucOmXXQNrjRPivWuTsYs+Tr/vGMaTxnLGUZBnU3WIMRFcQgghrJNrgsuNN97YJgtkukgSSYgq7nYTXTgcHCEXPIJK3/QikS9+I6RIxJYSXuyPI1lRLUSVEl5qepEBggs5R7NEl9npRQQVn108OeS+4wjWmi6cJQ5c3W13YefkunCX6MJptJ0Ld9/0It8fNL3Ie47mbKRLiS41vYhD57WEl3VNLyLCuJtrrYdl04sMuEp0KeHFZw752OlFku/s3/mrY2VmcHQY0QWO506U9UOUmbwcdp9HzVEILgar6tfA1L6IqZ42Rtio+fYlpDqu9ljRZ9qefFREmTalnQn11o4IFNqBAbb6Z/PyV3av/koYMciV2O5s8r07qd5bY4AjoA1XxJx+wHF9f5wFl4KzUOHh3rPrddt2HcPxKtV36z72UeI83d3n8B2UtB39JIeQjXDY+rZLWp6O85S048RQwUX7Zsv6OuMd13BjCtcU/ZzrdwkuRBJ9uXaDruCif9WXmp5kH9qIvlm/r767gos+2PWKaK9/dh2SD4KN7/XvxibGEI5RUTT2D/mvSDw3DbqCi++KruBiXyJ1XNeM0fT38uWY9mscIY/KgJ26PripRNA33jMe2+W+MIQQwtFxTXC56aab2uTugAtsrc8gesUFjMNR04vcfeZci3QRFeMiyFm0Ledk2fQiDh1xhVjiYu1zPb2IiGIAQEQxWLAdp687jYgT6nfbdZ1BF3COUi2kS2yRXEwJLBxdF1vJe98ZqJTo0hVcfK4pRy7cnLwSXQxSfOdVBIzBAwewhBfOm+R9TS/igEoElxJd1jm9iOhSYksJLgY9JbqU2FKCi1cO62ykSwkuB00vcmdJftS3u0W2rwHbqhiwEZDYmrpQFu7CH+cB0aYFFwNVYhlbtC/tz8CWqOp47vwTVUW0mDJEdCEwEEuJoEQX7bTapXZG3JQn7ccglUihXbB5bcDgu2yc48qm5ZftlugizdqwupbYsDZgP/Yt345NpGUHyuG4Cy5hO9FnaTP6QHbEhkLYRvRt+kt9sv7ZWKNEBNd8/aR+XP/mmuCabQxCLNf36p+NY9y80oe64aLv09+KLNFvmrbjumvKjv0bV+hj9aHe24/rmf7a9vJivEUQsa6L/tkNGCK6Ptp/Xav07SKgjCe0NeMdD2dwbdNHE+xcU4zjjPWMJ4wzHFMkjGsQAUeyH9PfXTdsJ8/Gfc7BdYiY47giWYyDnLPzlHfXTtcexzFucb067mOMEEII28k1weXmm29uE6eCQ8Yx46BxADllFeVCdCHAlLBCUCG0zE4vIri44C+bXkQssU1FuvjO4MH3LpqcrFr3xfcGBy7As9OL/FZRLiW6EGDswyDgoOlFRBfiyuyaLi7CLtzu4hNXuqJLTS9yV8gAoiu6cIwljlw3qsWAQvKdz0QXzhrn0eui6UXSbJQLp9VASWSA13JeZ6cXdUUXr0QXA6YSWkp0kVadXuQ7jr054wZgBoLu4B8Gzo9jq2P1a2DFATqskHOUbFpwcbdPRJN2RVwR2aKddhNhlWha67SU6KL9El2IotXGiBDaXYku1W60hbJ39l82boDvTiV7rjxLv/3bv93acdeGK0KLncozYZC9GiBr1/oJbZYdRHAJIZxk9HH6L+MmYyrRIPo43+tfCSvGbcYuhA39ov6YIGLbGsMYH+mb9cH6eP2+/s/2rvn6cguaGwcZk+if9Zk1hvG7vpvAUkK9a7brkT5ZX+vaQMyoaaX+a6yjj9Z363u/4zu+oz2Ga5rrmH7YuM/5ucYZpzi+tV5ck2r8Qvj3RDf7M34h1nhv/CYfztV1wpiGmGos5nrqf3WTwPjQd87luI8xQgghbCfXBBfOhOROA8dMMv2AiMIJ5LBxOjiG7jJwNDhsNbXI1IRaCJPjyJEr582rSIVahNP2vuPQcOZcpGtb74ksolrqrroLb01x8J1EfOH8eW+g0J1eVNEuHDUDjPreIMSFVXJB9+q7ch5dpN21L9GFM1lOJWdsyPSicjq9Cq31SpAx2HGx99p1SH1XIovBSEW+lBBjMFTCC9HF+xJfusILZ76EF4OnrvDCcfVaiehiEFPRLiW41HSjrvAiEVxKgCGsEF5mI14kAzgClnrh7B4Gd5ncsZM/diEKyjkZEB1XNim4KDu2QlT8c3/uz7VrMxFSa50WSRuuNkso7S6QW9OLlHtFumiTJXrKm7qWN3c01b12MTu9qCsuGjCX7ZagyDkomy3hxaC+BtnOTbnZJwHVsbSpCC4hhJOKqTL6Nv2amx76flNn6nsCiO/1fabUERH0iT5XH+ka4X+mCPkPgd7+RI7YF/HCdq4txArXFn2qffifV9v4zvb+K9mP7+SlFhsWedL9j9/qGu/7un7JhygTx7MvkSny7T8VqSP//ifZzjhEPus8/d/x6v9+kx+/eXW+vnee8uOz7b1GbAlhMfqUrs/QTcZf+oFEiIXQzzXB5du+7duupec973ntox2/+7u/u31UK0fDK2dD8t4aENbX4HBwRkTAcBqJNN6LhCnhpSJgpPqupiURWjh43kuiZsrBrmkN3ldyd4Pz5649B5BjOjv1qBxCDppUn4kuHFAiC2dRcqfDZ6+cLVEtRJeKeDGNoaYXcSqJKxXlUoKLxGGrp7FwjL3WZw4dMUZYLke0ks+cUk6fO0CiAeq1O+WIc8lBrcThFqZbQgzhpRJHvCvClBNb7znpXfGlol8qAoYIM9uRcmYlU4eILpU4sDpZd8IkZcMBV9YGNodF521wRaTgALsDZhBlsHbccBFSJ2xuE4KLV3YkSsyjl90F1J4Jqtqt40naaomn7ohWu5QHdyxnBRdtSZsiZspXd0qe6BM2UFPtusILYZFNlz1X1AsBxrmU6MJWSygkDLI7oeS2JZ5qn/YdwSWEcFIhDLg+Eh30ccSGevKO7/V/9X2JG4QIn6tv9JmQYfvuvvxea0yVQFHb+d4+fK59+07y3xJCKi+Oax+z/ylho/LUPYbfvK/82EaqvMhffWe7EoLqPP3f5/q/9/LjN6+OUefp2D7Xq21CCP0YZxpzGpvNJjdntbVq2yGE67kmuHzt135tmzhnX//1X9+u5+LO+Dd/8zc3z372s1sng9P23Oc+tw3/FGbqaQTunJ8+fboN9azoGGIM58R6MO6qi4jhsBBhah0Y05I4ecQY0THurouA4fB5b6oSIYYA4047x4cT2BVjOEQEGGKLVFEwNf1BdExNP+IoujtfU4+EkRJZJE4wJ6tEFwJLiS6z04sqoqUEFyIMR7PEGM5mN4mKkbzn2Ekc0UolxFQ0QE0/6oowHNXZyJeu+NJNHFjCi8iBbioxhoPKUefYVqroAo4o57U6VO8l7ysaRqdKeBEFUyJMRcM4fw64MtbxHpYaJCoLdcQOKmz4uOFcOPnEvU0ILu7YETu0la/+6q9u27R2rP1qt9qsdlrtsyJfiC6VhxJctLMSNOVJ+9FW1LV2ob2IPKlIMIJk1+bLxsu22TQ7Zr+EQ7apbIiCZZOmFxFdRF2xQecqci2CSwghhBDCZhHZbrzVvWlbydg8gksIi7kmuHAepK/7uq9rnYlnPetZc6LLc57znOtEl5tvvrl13ixatkh0cTed8NIVXTgpL3vZy66JLqYt1eKdNfWI0+dOuylLomA42xxADlC974ou7sBzCr0nvLizPyu6SESXchorsqWiXYgwImA4XTW9qEQXrzW9qB5P241yIbqU8FLOZldw6UbA9IkuFfFSU42kEl2kEl1KeOlGvsyKLhX50hVbuqmiCTixXfHFd+XoEli6wotXnznAHHyJ2MLRrSlIypRDLN+EkqkgJDgfgoCyk4/jhrtn6k401qamFKkHbeKLv/iLW9FFm9aWtV9tt0QX7VOkC9GlRFAiA7GT4GJtnmpnxExtivgh8qiiwoguXiXChfxqI+y+bJ6Nl6hYQiI7Jrqo326kS1cEZO/261y0WfuK4BJCCCGEsBkiuISwOtcEly/5ki9pk0dDl+jSF+lCdKlpR32ii+lGJbpY3V4iuphqVKJLCS5Sd82XboSLxNEhutSaEpwfQgvBRaqFPQksJbqU8FIL8HKcRLcQWziw3fccq4p04Tx65dBJ5Uj2TS/yHeeM0MKxJLJUpItUzmYJLVIJL13RpdKs6DIb7bJIdKloF4vRSV3RpZxYAsus6MKx5XD2iS6Sz6YYEVkqdUUXkS4lsnj1m/1x0AlXpiYJ3Z0K4b4casKDaSWEBxEcUx5jnYhu4firfza9qUVz2Yx28aQnPakVXZ7+9KdfE120Ye2WSKqNap8VfSYf3cdFdyPKtC9ipnZUi1HXtKISXLQPixVqE/LN/vuiXcqmZ6cXmRLHTtm0MhMxpX9wbGWhvWyL4OJ74tG22WI3dL5C7UMIIYQQViGCSwirc01wefKTn9wmd8JLdOGclejCSSvRpaJcSnTpTi/ikBBdKsqFM8dRMXWhu74L0UUS5VKiiyiXim4huHiVRLlw5jmiRBZiS0W61N33WmeiEkeT6MI57C70WaKL7zjvnCsCC8GlUj29iPNFYKkoF6mcSt+VQ9kVXDhtJbqU2FKCS72W89kVXPpEl1pUl1MocewqlehSUS4V6VLii9SdXlRii/fdaIISXEp06UYWEE66gkuJLjW9iKPP0bW9PKtbZWfRvCkdPPuywB0HmeAmusIaMsdlzrU8EgGIECJINi24PPaxj22P+UVf9EVt29amtWXtt9ZpqieTaZvapKgzootFdJW5dkZ06bYr9UB00WaqXUgEmFnRhQDZXc+oKyiW6FI2zKZ9b3ttVcTNN37jN7bt2r79f1sEF2VmH2xxm3Du1jvQFgmWGQSFsDr6cG2oLx2Ha9CqODeCrT6k1jkRvepV6q7HEtbHSbW/sF1EcAlhda4JLo9+9KPb9KVf+qXtnfCv+ZqvaR1Ca7oQXjg83/RN39Q6ahwOosuySBdRLgSXSjW1iGNZUS7uple0CyePw1lrunByusJLrenCGeUAlvBSkS6cI85gRbdwzmqKkYV0S3SphXQ5s76rBUAryoVzKxFhOJNd0aWEF85k16nsii5SiS7el+AymwgvHEpOdJ/oIlWkS1d44UTPCi9904tKdKlIF0JLV3jxXTmsFenSFVysp+E7HSmBZVZ04eibXmQbkT4iEAhuhKp1YJDHcVaH6lP5EReOy2DD4FT9sDnCpja2KcHlcY97XBvl8oVf+IVtFJs2/uVf/uWtqEpA1X61UYKotlmiS4mg2h7hgajZjSZTD5VH7USbkKznUq/WPdIetAVr/JTds/WuqKgNsCP/I+4QXvUXhF3ihggdkTbsa5sEF1F7xEbixjZQDlKdr7arTEwxy8A8hNXQf2tH2lU3eUqOvmYX2xbHSV/qel9jFH2usYEoRP0nJ8sTkcacv/0el+jUbUE9uOk0a3+ubYSwEDZBBJcQVmdOcOlOP+CQlegiyoXoYnoRJ61El+56LiJd3DEnupiqUFEuUk0t6q7nUtOKKrn7z8njvJfQwtnx3p12jl89PrpEF69SLe5ZziDRpYQXr6YXcXZrOlE9vag+d6cWcXC91hQjTqApEyW6SEQY33m1pktXcKmpRRXpwtHk0NWaFpUq2qVElxrUzEa6HCS6zC6mS2gp0cVrLUxaES71vj53pxd1RZf6ri/SxXc6WREN6oUoxyY4q+tAJ25goVwIZI7pyUjHZbBhgGnNGwKZqAhipTLTljjxIkzWKbgQW77sy76sbc+O+w3f8A2tgCpp0z5rw/JCWNBGiaHyZJqf8iZuluAiySNhQhvSTogh2g3RogSYigYr4YVAWaKlbUXJaKP2R2hx7oRY/QThVvnoh5761KduleCiHL/iK76infKozTnWUVNii/MXAUZs0U69F+nCBiO6hDAeC7VXRGc3uQbpX3bRyXBO+k/nrY/WzxNaRLfqW1x/jH1c02xzUBnoe5SjPvjChQtXvw1DcP1yfZu1P9f9bRH7w+4TwSWE1ZkTXEw/+PzP//xr67l4chHnoqYWVaRLiS4cR4+QnhVdaj2X2alF9Ujamr7AuSK2cO5MLSrRpZ5cVJEuEtGlolw4fxywElykWs+lolwq1Wd35GsRXetCcGiJLr7jxJfoUlEuHEJTZLy6W89J7IouNYXC+4po6YouFelSUyoqce7qlejCkT6M6FLTi2YjXSrKRTK9iIM6K7j4rqYX1RouJbrUo6Q5qDrZElx8NvByPA6nuv+8z/u81pE3TWsdGKzpyA3UlDebMuAbe3ftqJBHjrCnObEpdi4iTIQYcZLgwv7ZvOlzxAx2OpXgYjqRiAztthuZ5r3vRGxox7WQrjZaoouoM/kytY8IUZEu2pV8ml6k3rttqFJXiPHqs/O3LRGUaKosJOevL3B8+dCfEIP0Q/qjbRBc5Eu/pz8kRBNu1cM23LGVBwLkv/k3/6Y9T+swGQiJROMYKpMMhgLYgRQBbhj6Ef1MtalK+h19zi5GbLANfcYnP/nJdoqpvtCi+g8++GDreDn3elS/cYm+p6YY1ZQjkalla35TVq5L+lu/K7fu7zVdqb4PV1DehK6u7UmuadazC2ETRHAJYXV6BZfHPOYx7atIF2tN1PSiujNOeOlOLyoHjoMkEV26Ty7qLqBbkS61pktNKSK8SLNruri7zqkv4cVrV3RxV1zyviJdyhl0V8ajbIktdRe9RBdiC9GlphiJfvGZs8Wp4+TWnfpyEr2vpxdV8tn33ruLPxvh4g4QR873faKLVJEuqyymS3DxWu9FupTw0hVciDDd6UWzoovXRZEuhBcDLWKHASfhRzmpV+IcW3n84x/fOqHrElwKHbq8qF/15ZynfCLSujGINbAUeaB+2TbhsabbER7YuPObUnCpJxWJSiOIEjW0txJ4tCGCpTbk+NqhNmqamPe1qLX8anu29R/tjWiizWlnRJRqc87Bb4QabVl/oG0TTn3vd9sRbexH9Jo2rk8gbuhH9DNE320QXJQZkUyfp2zk174dZxswbUgkS99giL05d+USJ/vkou4NiNmttsG5DQdzEgUXuFaJoNBn66sJt74rOGAiFo33OFyXLl1qbUu5+OzapOz0Tb43PtGPu6FmG1Oy/Oa6ZV+2970bKb4PV4jgEraBCC4hrM41weVzPudz2vSEJzyhTZ/7uZ/bRi1Yb6LujlekC9GlO72oHhftDvki0YWzUlEuFenCaalIF6ILx64Sx9NdFXfXK7pF4vxw+jhxHL8SWTh/nDjJ526kC4dO8l6qp6yU2FLRLpLP7tJ3RZfu3Xmf3dEpwaWmFvnOe6JLV3DhxFWyRoXpRV3hReLsdacXdSNehogu3dSNdulOL+q+L6GlhBeOawkxJbp0I10kv9mvwZWyV3+merAPdsJeNiG46MzdwXd+xAJC2Cc+8YljNeDl9Bh8yrfyV9dsif2xW468ASlhkV0TCUVYsSGinLpUH1MKLo47GwFmuo/ydWxRRY7PXuWBTbK/skG2wfYIYOyTrdqGXWsH/t+NerFf+9feHHcbBRdlz9b1Q4QWeSIYqScCmOPX3dijhk2Z42/6UN9giKPIVjg47kQfF9FFPgmq6lhb0e6JR5LIHXXt9+NyPkeNdkGU04a1He2ii3LUZqqPZeP6/4qYkkyN5OSNFbrt+7gKExFc+gUXv+k39dPsyc0Z7dSr/pXAIhrW//RPxi/6eeM7N3DYGXFF2fo/e3N9cx0x/tC/pm1HcAnbQQSXEFZnTnDhPD/xiU9s13IhvPjsCSenTp1qRZd6elGJLjW9iOjSXc9FqvVciC61iC6npYSXuqtfogtnhtjCEawoF86OKJcSWkp48Z6j6A40kcUddw6Z90SY7nouJbhIRBh34GvtCQ4fkaBEF0KM6Q6cQkILB0wivpQQ4zNxRSrhpaYX1Zous6JLfVeiS6U+0cVguASXEl0ILl3RZXZ6USUDFY7v7JouXivNTi/yvpLIiRJduovjcXIJS8qWI0x8s67GF3zBF7T2wU42IbjAnS9iBTFO/crjcXIiUc4HgYRgQjxRp2yJLYrYYsNslp2yOb+xIbbBBogc6srAlUNEcBD+bRArsSP7OUhwMQDWViqixrHYLHsknrArzhe7cTwDYcfkbHC+TJPi6HtfjhlRw3ZsjMjHHu1H3rUB56JNOZ7oMuLGQYIL29MutQn7Y5fyw/k2GK21SgxA2Qib4BAQXNx5lU9OuggpNiNfylybkydiIkFIn6Dc9S/6GWUkGk+/o9/Qnpyn/W6DzckDx4To1jcol9SJcjIdgEhhUHQc2os8GsSpK+v/EOrYoTpQ/+pBfe+qwzs1+ht9J5FTn67NdFHeylOf5DqoH9DXaMuuD6Iklb9y16aU+xA7IvQQLaTjSASXfsHFe32nMSHbkFyXjB28ugZpt8qN2Gu8YswmYtIUZYKf8nP9MxYxPmFv1v8y3mE3ceAiuITtIIJLCKvTK7hwoDnSnLSnPOUpbRQDp60eLWuKkfULZkWXinLprudSTy6y2KQ1XUp0qUR0qelF3SlFJbpUpIvpDEQXd5xd/EuAKdGFM1bTHLwvEaYb5WK6g1effV+L6HKw3G0v4cVdfp9LdJmdXiR5T2CphXM5kDW9qBvpYsBaqaYX+d4d8lnRZVZ4mRVdDJBnhZcSXWaFl3KSpe70ohJdanpRV3Cp914JL7axX+ekPtQtocWCyhZg9bQbi7GaVrRJwcUAX6cuaqIiJDjaOvvjSJ2PO8YGtyJVOMYEDE6yOmEn7ItdGqzWOkcECxEo3Ucwl10RUbStwwoubIhz6w6kKAn54rQRHOSXsMHh55QYVBN9OHKcEcILW+IwEwMPI7ho7/LoPOWL6ML5M1g3eK+QdnngWBJdDEbdWa0Bq4G/82DbhEltix05Z868/kHfoX+RB/2N8iVAckLte6iTuQnkg90470ViSzfZRv1YvPI4iC7yx6kjkmnr7JVwxq70a/prdXpcHflNo95FFIiecz0inHQpe9L/uP5qF64b2rp2pA3oW/RD+gjtbIjYoP1op/qzbbe5PiK49Asu+hDjFtPMXaeUBztRJtqosYqbaa4h7Mpiu9qssRmqfROB9a2uG9q18ZmxF7vb1bIdQwSXsA1EcAlhdZYKLpwcjrV1XES4lAAj+c2jZTlD7m4QXmo9l4p04TCV6GItCKKL6UUV4WJailSiSz25qESXSpxLTqZ1IDhCnpgiVaQLp6giXThuIgMq2sVriS4iW7prTHCuOOuiWggFUk1zqCSqZTbSRZSL773njJXoInlf33HkSmTx2k2cRo5n10GWuqKLu0PdaJexogsH112mEl0ILSW6eOUEl8Aicarty7Hd6eeEE7rUpelj6lmEk0gnostRCS4wUDP4VWZsgRPNSTiuOJ8afBqYEjFqbruBqHMjchhgcVqcu0QAEbXBcTIgM+CtxO60jV0RXPQD8ln501a0C23Avtm1iBr55NxVlI0oGMIMgUYb0W60K7ajLXIA3M0nkmpj9mV7+yHkcDIMatXHNoW4y4cBDmfFYEde+wZC3WSwpF4INOxsW85lGRwujpo+lz2L3hLNpW4JB/o4Nsnm/Obc2GfZpbozUFSPvnfXnPDAXn1mr/5DyFGOysfvJX76n+gh2xB2/SZPftcu5UW79LtjVVvuHtvv8ug/NSjlmMqvPHhVj9q//2lH/uc/nNeyPcd3vBL/5MWx/NdvdT5ElbJV9ez/zsH5iU5zE8MNg1nBBfLm/665or60H/uwP/mXJ/28GxN+kw/nKV+SfMtL9WN+08bdqNCnyJ9y9ZuyVTbOR1nK5zYSwaVfcGEnxivGb64N+l39sLIRRUjUFsWsjbKHWcFFubnGEVSliop0LOMsdhLBJYJL2A7YYQSXEFZjqeDCoeZYc9REtRBeOD433HBDG+liSonvvvIrv7J1itzlsJBuRbpUlIskyqVEl1pEl9hSwgvRxVNR6slFIlukinIp0aUW0S3BpUQXzlo9uch6FBw470W7+FxTiwguJbrUorqmCRBXSnDxanoRB9Rn4kM3ysX77vSibqSLJBy2RBeRB7Nii+84jF3RZTbixSBGlEtNMepGupTgUqILp3jRmi6cx+70otnEEfab7QyGnQ8BSrmKOlKHhDX1T2yRvPdI3KMUXGCg69yIbRx5F4Lj4EBOgfN0YeOgGBAbtM4mNkGg2BXBxe+EEfli+/JWNs8O2LPIFWIJAdHAnaAo7wRG52HgLx/Kxv+1H+1R+/MbZ5Tzx5HgIGzz4EHe1LOwfGLLrDO4KNmWuMB2us7TtuI8ORv6Wzag3RMP1JXrgGlhzouNiaSoc2Sfkvrk6PmuplWpX44KW2GfnD3/Y+Nsho0bXDoO27KN35WbfbJ1zg6xswag8iOffpMIKjWNze/ECaIMJ9Lv2gfBw+/+a3/+ow3ZTy1W7nt1TMSox/E6T/mTF6KL9lb7Ygfe+08JctqrfTqOduHGhnbeJ7hAHtzgcL1yvILzK+/arT7DtUn+7N92zlPS7m2nf1DW2rXrsGuigbk6kPeKfHGeyl15b6NNOpeTLLi40WW8RFDTL7r+OGfXA2MU/TdbN5bQr6t/dqZv1pfrc0twMbYyNrNv1w126kaS9qud+Z9jGXdFcLlCBJewDbh+1XVrNukbSuQPIcwzWHDpPhpa4gQRW2xrwVRrvnDMn/GMZ7TRECJdZqcWcfS6oktFuJTw4k4IJ9+aLl2hpRbRLdGFk0hkqTUWSnTpPi7aYFCkS0W5eN8VXUS2VKSLCBjOJtGl7nYTWrznDPpssN8nukg+l+hSieDiewKMu4Qc2FnRxavvS3Dpii4S0YVzWaJLN9KlBBcDlUWRLt33nM2KdKkoF+85nfJgOoUyV0+ildR3LYpMRPOd+vf9tgguBnA6euXojpnyOA4O5KYwgLVA9K4ILuzbPutYBpocVAN2EQKcNYN+DrY8dl/l1za25SDJO7FCtAObOY6DBPZfA6DZgfiQxIHf1oiCLn2CizolSOinOWjujNfjyfWtnHjOCCdZf+m1pufp/3xW//4jUkMUI0GGYKe/ZZfeO47rDlFem1BuFZWhT2bbnHD7FtHo2EQPSZ6IQfYrP/pi/+d0Oh+f/V/9aRO2JQA5L+1EG9F+7J9QQvixjaQ92Qe7loiFfrcv+3VN0O+zd9v5T+3H/lcVXKA+XNdcN10zlZNoBu3Tq+MqT06i/XCaXZ9de5WPvsHgXBm6zqkPfYu61df4z7Zx0gUX1wnXCP2rfkdSJqZHa1/qXbtgF26m6VsIjG4qiWpmkyW4aG/GbvpvYiD71P8bjxDeXCd8NiZhCxFcIriE7cB4ib0ZP80m/cQ236AK4agZLbhwwi2Qy3GTTCOq6SYiXfxHIsbceOON7fcc9u40oxJdLKRbES4V5VLruXQjXQx4vdZ7i6XWI2qFlNe6Lu52upATXVywiSwGCd5LnPKaSkR0MdiuaBff1UK6Bu1EFonoUkJMRbVwFCXv3YXxvc8V2UJ8qeQ7AkxNLyqxpZLPBi0GJn0RL7NTjAzEu8ILwaWmGRlkG1iX8GLg673v/OY/9iWvzlP5WNC4knrhjKsjQpn68rhv9a2OrdmzTYKLzl1HbyDCDgzQDPyOqwM9NbsouDh23V1Vzwbxji25m+9uf1+qPEr+47/2wYaOm63U+ZfwwNmfHYgPScqSYKNstnmgJG/auP5WX+98OXOEFmKGc3AuIvP0pWyNI1fCBXGdHUt+15frG5Uhu9d/sy22XGXKBvW9jut6pA8noBBp2LTttRMOpO/YvqiqEmv0+/pzUyqIgvIj0kOb4bjry7U309gIJYQj1wJ9tfZCsNAm9GfaknPkkPre/m0jSkRbcwzXKNcr+6pIS+3Xds7bOTo37dO+9JeuP4cRXFwz5UfECmGHM65sXLdcn4kTjqmtEWfUn7xqj7WILmFKGROClLM8cy63jZMouKhnYpkopBpv6btdC9ilNqi+1TsnTBm5Rmgr+nc3gWyrvXlld7YzDnGtdtOHSKO+tQftxav9sk3v7Vu/ftKv5xFcwjagT9Cf96Vd7ANDmJKVBJeKXqm1WUwX8lkUBJHFGh9STUPxP44T4UXEBCeeQ+9/RJeaXlSCi0gX04sMekW3zAou3cdFG4AbPBJbDAh85rh1F80lLBi8VuQL0YXIwhmtJPqF+EJ0MUAwAC7RxWBWGKzvzEMv0cVg03uDB8KLz13RxcCjO73I4FrqCi6SQS0HlzNgQFOiS0W69E0xWiS6VNSL7/3HPok95dxySohSpmZxuAliJaJxxAkvxDCvPqtXTrr62zbBxSDMYMyAg9POgVHOHCdO9VFz1A79LgounOGTjsGNMhclwGGdHYQPTepSPalHtrqtTs2s4MLxlX9ii7bPeee4sV99I6HFuYhm0f/p28uG2ZA+l1gD1wZ2KLLEcfQnnEx35W3nuK5J9lNiH3vmHBIx2GOVnXzpd01xdH1xPWDz2oXf7V+/ZDt9MiFIO5MXfTwRyL797prgeqQ/91n0lrv/oiVdk3wvb9qYc7at65P/V8RjRTK6hjgWYYjYQfwx1dY5jBVcnIe27vpmn65TBBdt3qt60b5F0PifSAfIn75ZHdgH+y2xXBk6R32S/7LJbeOkCi7al/M07jHGYXfslQjDHkUNsit1ql9yXSCYsDntT/mIvtLXKCf2739snUBJNGRrBDdinHaqnfnN9YbQwN7s/yQTwSWEEI43hxZcOOcGSgQTIgmxhLNEiOEseZqR/3PQRb3YJ1HGvkTHcKrsw3/81+CW8OJul/1ZSLcrtMyKLrWILmetRBdJlEuJLgbcFelCdDGXvDu1iMPnPSHGtgbuJbpwCL36XE8vMtA2mJ4VXer72UiXml5kwFlh591EhCnRpaJcFokunGCiC8e1RJcSXCTb2pdjOS8Da+WkLDkRIo2ILF6Vu3pT1srZNj6b7uW3bRdcuhigqSt2xPkiBBwVBocS54YDd1TiTwSX3YNdERiUc58DODaJ0FBX7JSDtY10BRc2wnFjc4X2VYKL/rAEAnanr9QvizLpg+Cif2bbyta+CBJuBGgDbFj/qP91DJhCw345oe7AV7kRv/TBrknak99FrGgj5TDaVhsinLgWEIc4ql3Ur21EKbph4Ni2U0faE4HF9FltiaDi1XXHuc86p5xj1xTXNo7ZYQUXedXutV3XQo43sUofQehhU/Lhv/4n8gWzgovvRSo5R+fEDl33Xb8iuIRwPRFcQgjheDO54MJxr8gUd7m8951BKyeK0y+6petIeRKS6UgEGEKA3z1CWuQLAcb/K9KlRBfJewM70RoV2VLruoh6MSit9VsMgIkpHDsijO/chSzRRWQL57SmFxFXRLaU6FLTi0S6+L4iXSSDXXd/fEd4MRgt0aWbfEeAMVgvoWU24qVEl0pd8aWSz7Y1gHVMeXVe1rdRF8pOOXcjhjjXylCq99Zs8V49mcJ1nAUX4fruLjsnrwbwRzUI5lBwrNy1kxf17r271Abu8uX3rmO0DiK47BbshdPNwePoH1ZskTi96lT7sZ7Lum1yLPKjvRAz9HX6d1ETs4KLaB/9IDGCCKB9sUNTbFwPTAdyN57gwEbZKirChX3bj7IlQujH2K1pEPpP/S7nRn44PvbrWqD83OGXH4KD/lybl7Qh1wrtRdRMTaMh3JiS4f/+47PfagFsfZfv5N/vzomQowycp/rSRrUjgo56dP0xzUeUSUWyOBY70W7cZKj96oc8Ut61iIjQxflJBCpCvX0SbdRBiS3yTgSSN2Uq+se+5FHZKwPRq/qLElz0gdo8Acy52s41TCSO92yZyEXgcQ7bZofKMoJLOCoILtqF/qab9AcE1BBCCNvN5IJLrb3C+TeoM/e3kgEcoYSAQkzh+HGoJNON7NPTjUw58p7DZeBW4ktFvhgASxbXJRbYZ80xrigXa7oQYbqiC8HFwNN7Dp7PFelCcCG8cFB959UA3sCb2MIxJL50pxe5c2qgW8KL9/VdRbpUIrgYJNd7g0+p5tsTTyoixjacAPssEaemNzl2TZNyXpxU5+n8latBq6ROfFY+RAh1QZji0HKybU+sUnbqi5N7nAUXjijHQB0SDqx3cJRRLhw+odPqnC3KEweDg2TQbqBkoM754OjZfmoiuOwOHFA2osyV/WGmEs0m9mif6o4tbhPOW57Ynr5V1CLho9u2CRWcEfbLtkRc6A/c+XVu+k1TGEx1IDpwXuqusH6UkE4IUAbEFpEZBJUSKAj7RAUONzsnMnjvO5En2oPttG0Cgt8IrKJP9OumVsgH8YPwQoTQPvQHxBTti113p1eoX+1HPyZpP+qq6l20o/bknAgookqcu++00apPfQxBQz5M2bA9wcg1jqCvj+qivLVnbdi1VJkTUhzDd85Be3ZO8qke9BGEEkILMUa/oR17739Q/qJX5EP5yZM8E270LcrcTRL14ByJO9skurAxtsEmlG8l5UGcWkf/HULBxrQb/Uw31RgihBDCdrNWwaUcfAII4UMYc03pIXYQOogHJRyIurAvogvn/hnPeEa7Bkw9GckaMdaA4TQSZThkxBjOmWOLgCnhxbEl4d3m1BuoG1yLYHFMDp7kfa3nQnQhsngvBFsicJToUsKHATonkehS67eU6CJxIg1UiS6c1xJaJN8RUbxW8tl/HMcaK45bDihn3TlVZArhqVsfhCpCFOGE8OJ/nGcDavspccYUK3XgDrF9crSJMLsiuBicc1g4A86BM0/UOCrkx2CcrSjDRz3qUc1TnvKUdjqXCCvODseQ8+eO9Doc3QguuwN7chedTXP8uoLJFMl6KAbw6nCbHF2OrGgNzrm+lqDKkedoFKJznIO2RswmehA2OO3+y+k3hUc/y7aVX00xKuFaX2l9CqKEdsme2TEhQNsw/YcIw+aJOWxeOyCqOJ6pMcQL9aOetGdtwV1ogrr/2z+nSRk7LyKR9uB6SHipKTjORZvzm/UvCEyOq458th+/a4O1L+co3/p9wgeRxrGch//Kq2uZ30y/9H9tkkjdxb6ULdHIdVG5uCbVIuz+Q7DRZzlP2ysn06xsr59QP47vOPpAqCPHVH/Kybnr+1wva10Q/UMJOeptm6JG1Lf2oV9TH5WUuwgD5RBCCCGE0MeRCy4GYBwuQocBIaevRI8a8BkUE00ICqIyCCuOIdpFMm1GHkxHIkAQBogz8trNL0dTfkXH2Ef30dNEDeKMY8in43EACRSVZ+JFJU5ziTZ+I2hI/utc/dcdO8fgQIo2kRybaCKJRDH1h2ik7OSlooD8r6KEyilWDo5dgkqJRAbEyk35KcuK1DlJggtquoDzlg/OhUH7UTiQjsnRcRdc+RJctC/ihzLzCHUiojaiDjmExAkOVzlRhyWCy+7AHggIFWnAWZ06marDedwmwQXyw86IKISSWWfcezbI9tgkO6x2Lyk3ES3+73e2Wv/XN3L6CSdEBJEM7hjX/+yXWOD/fuvu135853iSbUs49bttK9JGcg72WW3b/31n/9WO6pj26zuv9ln7mv2+9uV/8q181KHffVf5cCzl4zfb+d2rspyljmVf8uZ/dY7+Y1+Oa9/oHrv2Wfu3LezTd7Zxfr6X/+pD/Kf27/fa97YgP/I7m7r1GUIIIYTQx5ELLpwtgoGpOqJC3IU0AO5GjfheNAlBgXPqf5xqoodkn/ZPQCgxhtMmmVIj+Y6IITzcdkQHeaskfNp3RBfb2Lb2Y5+EEGJPJefn+9ofZ7EEF9E0JbzYH6e2Im4knwk8lcrpLfGGE+C8iCXO0/kqo4qoUUbKp5Lyqegb2ymjkyi4GNQbrHPoOfJEBE5WOSecHmsyEAs47pXcheXEVnjuVINo+yJYKPtHP/rRzZ/5M3+mFV4kn5/4xCe2wiDRTT2wb0KHqQnu8nKCOTvOybmNdUIiuOwO5Tiz53Wlcsa3zdldB+yV7eqn9ZsiOHwugSCEEEIIIYQp2DrBhYBgmk2tcyJKQZSARQvN9xZ6zWkTYi6ZXy4kWarFCn3HqTNtw/+EdNcaKl45eaJASpgQSSNiRP7k16K9pjWJmJG8d75SrTEjKQeflQGRxT6cl/3Wvg3mawqRc5MX+eLQmtNuzrrzqHzXeUnO0/lyfG3rnJSFMjEX3rlwWu0/gssVOIumDJi+JfLJnHuh9Zwp7wkHbEX5W3dAUh+1xoNpSYQDAs1hHU+ijX2qn8c+9rGtyFKCSzcRYogiRAVT6Dzhi00SGAgv7jK741x3rIcSwWW3UPdsat1p11GOxCVTQgjtbJ/NZwHKEEIIIYQwNcdOcOGwESY8IUEkACfOvPaak84xNA/cnHBzyS1qaG48x4/zam66ufAcR465ueScOINtqRYjE13AceSsC7UX/WC6h8/C+m1jwC46ggNa7+3Pon+ce8cxh99x5cFCgfLDcZU/+ZRf+RbS7hw4/s6Lo1siEtElgstwCBPKmC1xqJSD9R1M8TJdTdmV3UhsiePPLpWLcvSdu/72dRjYkDomeDzhCU/oFVwkogtB5jGPeUzz+Mc/vm2D1nzxWHURWhZTZh+EjqHCSwSXEPohLGlHot6ILGxXBNFJEJxCCCGEEMLmONaCCwfMIocWM7RIX4ktHDzOIYGDw0f0IH4QQUpgIZBwGoknRJSaq87J5kSahmJeOUeyBuIG6D5zMA3QDdQ5nealE2RMVykxhsNJgOF0EmAIPZ5UQXyxaKD8yaeFBUt0cQ6cUudFdHGOBBfnHMFlHOqcaOBcnLcyYk/K1OKSxDaLP0rqhh2xMcIM4YENsit1qr5XhT3Z/9Oe9rR2ClGf2LIsPelJT2rL3NQ00VFsd2j0TQSXEEIIIYRwWIz1jPmsdzab+Ey5YRHCYiK4RHDZScGFoGJaljxbAFmUUK3R0ndRMGVH3XtCCDskACizj33sY239ror9EiCUmXLqE1WGJGu9qEf2G8ElhBBCCCFsCuM7Yz/ju9lkOv4UU/FD2FUiuERw2RnBRUevnpStcmGDpnCpZ3Xmt2UXA7+pY3VPVBBRYi0Vr6aT+W0RZR+Uftuqf/VpjRh2/rmf+7lt++oTU5Yl//NEI1PNTHlzjKEXtAguIYQQQgjhsBjblS8zm/hWbjD23dAMIURwieCyQ4KLuiF4sBtl4qlO6kR9HiS2FLZR3+zAOjueHMQu1ZfomMJ21HzfEVjYFXsjjFiE13+UsUeBP//5z2/XZuk+pWhIspYLsUE9sSH2NlRsQQSXEEIIIYRwWKxtyZcRCT6bIriEsJwILhFcdkZwUSfCGp0fO7JWy6pUtIoytq6LsrfAZsEeiC3qnY3t7e219aCMPR3JFKA+EWVM0ga/93u/t61/eRkjtiCCSwghhBBCOCwRXEJYnQguEVx2QnBRPxbA9Zht588m1NFhIHCwF2vBsGt15cKivtgt+xa98qxnPat56lOf2j5lSBRLpT4RZUiyH9Et2ov6J7awwTGCi/JgTx5VviuCi/9oO7mg98M+JOWzKIUQQgghjCWCSwirE8ElgstOCC7qxgK3yoCtKGdTfsbAWfUfdc8O2Md9993X2iRhpWz5Va96VVs22oL2ccMNN7Tn3yeeVCKiED6WPRq6kv2pA0IPgYPNjRFb4D/aBiGFeLMLgotHen/4wx9u6zrMU7Yryms26Zv0UWPbRAjhioDNmdDXdZPv0h+FdaPf7rO/Gp+GsAkiuISwOhFcIrjshOCiXogjzlG5cvqHQsxQx/YhmoSDKlpGvbzzne9sXve617XnTrjoE0gWJe3J2i2PfexjW6FFmyKm9G1biTCjjE1jYp/ytAps9/3vf39b98dZcNHflODiaVPaxqplsuuoB+XfNxjSB7Jp24QQxuHaX9f7bnK90KbGCuIhjMH0ZbY2a3+uuRHRw6aI4BLC6kRwieCyE4KLOnj3u9/d5t9FQf0chIGK7dSTOmBfxJVXvOIV7fkTKYglfcLIsmQ6EaHlJS95SSsSEE/kjbig/Pv+U+nbv/3bW/GDHR1GWGCrbIx48kVf9EXNl33Zlx1rwYWtsfOPfvSjuaO8gAguIawHfVtdw7vtSh/n2p8og7BOjGn0313bk4xju2vLhbBOIriEsDoRXCK47ITgog6JGuzPU4PUHbrRK+rsU5/6VPt4ZbbhaULsjj2yVef/7Gc/u3nGM57R2r1HMos46RNGJKKKbZ7ylKc0T3va05pnPvOZzStf+cpWOFD26o1t/s7v/E7z+7//++37EkBmo2XsR9l6DDWRo9ZtWRX2yg7Z1fd8z/e0i/jeeOONzbd8y7ccG8Hl5ptvbvsbIpTPIpjsNxf0fiK4hLAeIriEoySCS9gGIriEsDoRXCK47ITgoszZh/NRH+pOfQnFVU++U+9sgs2wMedLJHEupvo88YlPvE4EmU0iV7QRa7E4X0KL9qFsiBqOfffdd7ePkyawsA12VBchNuex0QQdbaz2S9QhwoiIUf/OZYqLlmOz8Te84Q1tG622q149/ehlL3tZawds4qgFF/2CfMiPPoTAIp/Pfe5z28/6Chd7x0v4fj8RXEJYDxFcwlESwSVsAxFcQlidCC4RXHZCcFG3v/RLv9ROB3JRUP7EAVEsykdZiO4wTagrooxJT37yk1uB5qUvfWlrw8pfnYmYYQcHCQHshR0qX2VX+z116lRb7uzVNlMKCvZFdGJrd911V/Oa17ym+fN//s+3ZfF93/d9bTv90R/90SMVXNgr+7z11ltbWyQGvfjFL277DrZuGpH2GKFlORFcQlgPEVzCURLBJWwDEVxCWJ0ILhFcjq3gwgG3DgtBQTl6ig0hgRPvvfMmLjzvec9r8y+KZMhTgiRt4UlPelJr68pD2ZjioswIEeqO+KC+2YsLzUGwG7ahTSjDOhZxQf2ZCmU/UwsL7JaNs3/2RVB54xvf2E7jOXPmTCtSmQqlfZrSpPzYmClaUwsu733ve1sxRztnq4Qe/QQblAd19pa3vKVdrFgbkGftyjmE5URwCWE9RHAJR0kEl7ANRHAJYXUiuERw2XrBhQAhqYd6PCKRRbmrw4pkcU5PfepTmxe84AWtOGLdkq6I0pdME6qnCJlSZJqQJ+J85Vd+ZXvOyk2ZKluCgPNzTDYwdpBte3ZG7LjpppvaNWAcz2c24Pd1RXGwX7br+C6ORBR2RPDQPtmC9vkTP/ET7TmyLRFDBBL2aHtti/2W6EIg0masN1NiizbA7g0OtTl27lHO2ql2S2x5+9vffm0qkb5AP6G/sMDwO97xjnatFm22hJZ1lcmuEcElhPUQwSUcJRFcwjYQwSWE1YngEsFlqwUXznZFsShn5anslA17kk/HJpqw3z5RZVEieBBZTBNiy8pBWd57772tzbAFda1O1YeyJUAcRgCwP/WtnJWj41nvZZOOsPyXPbtAEkzY7Mc+9rG2LRFalO1tt93WRsGo07e97W2tGKINKgNt0HlYEJg9VyQLsWRvb6+1W9uxVxE1ntREUBFRY1qTts3O/d9FXFvS3tS1vEVkGQ8biuASwvREcAlHSQSXsA1EcAlhdSK4RHDZKsGFo62c1YEICnWnjk1v4fRbb0Re2Z68iEYhnFh4VrRKn7BSiX3Ls3xav0TEisdAK0vlrA4MatiDelXXLiDq701velNrg7/7u797NaerQVBgf6Y8ER7uv//+1u42PWBXziW8yBN7lw/nrm2wUwKM85VHSXuSfO+ztrXoezZe//O+bJ7A4jtloK1od44tD9XOIrasRgSXENZDBJdwlERwCdsAX6f8m9n04IMPtuO4jN9C6CeCSwSXIxNcuk6/clWm6sAitMrKVBQLvToPeX7Ri17UHptt9gkqs4kA43HL8mhhWnk33ch5y6dpSMrbQEb9qfNZ5InooNzUD7s5DM7VOXqakXNjPy5S2wi7Z+siYOSZAGZ9FoM/bYd9i85h29oYOzfVyO+SbbUtbUo5Eq/sMxfk9RDBJYT1EMElHCURXMI2wDfi7/CXZhM7zPguhMVEcIngsnHBpYQW5coJV5bKy3QUIoR8eVKNBXBFsJgu1CeoLEsiXvyPrXr6jegY5a0uCAFEBHWpXhchjwY56kCeiAlTOKyOycYyUApTEsElhPUQwSUcJRFcQgjheBPBJYLLxgQXAoYyU/bKQJSHPMuXyBPHcpynPe1p7eObn/zkJzePf/zjW/GkT1SRiCrs1bE9jYgtPve5z22+//u/v10vRNnWwET9qlv1qi7V6SI1nhCkPj0tR9kSgtjIFANrx3T8bY1sCceTCC4hrIcILuEoieASQgjHmwguEVw2IrgQGZShsnGO6riElq/92q/tFVP6kvVaHMsjntnmM57xjFZgYWtveMMb2sVZ2Zlz9ohj9aIuHXso6lmd/vZv/3Zrn85JXVm4N4RtRb+kP9LPzSZTv/RHhMQQwjgiuISjJIJLCCEcbyK4RHDZmOCi/EwbevnLX9487nGP6xVUDko33HBDa4MWvCWueMyw+lfW6kDdeP+Lv/iL7TkpT3Uw5s6+OrVui3JyPp66o77HiDYhbBrtS5+lL5tN+ih2HccwhPFEcAlHSQSXEEI43kRwieCyMcFFOX784x9v82TbPkHFQrfs8ElPelIrrphedPr06eZVr3pV85a3vKW1AXWuDNWj9ViUf9WVelJ36lo5vvGNb2zXb2E/VlFXX7ZVl5X8T51bFFa9eIyxcmSPnryjTm1XopFIl7KLELaFiiIzVa0vlQ2HEMbhmuI67rriGlbJNd64IWJ8WCfsz3jT+LSbjFuMRUIIIWw3EVwiuGxEcIEyVObq2f5LZLFGyxOf+MR23RYCyzOf+czWtuRFJItHMjt34oeyVVfqhxOpbmadSJ/VizpQNoQa+frQhz7U2kQNlP0usQl3i9iO8lV+jvmBD3ygFWHUuX06VkUQuKtEeMlAO4QQdhvXfFEGrl+uQZVc840Xch0I68TYw/izT0SP7YUQwvYTwSWCy8YEF6KFpwP92q/9WmsbJbiYXmTfji9/bEC9Ki/1UYLHWPxHvShbUSvEmx/7sR9ry0R5iXxhaz/90z/d2qTyYavvfve7W7uZHchY/4KNqFM2VGJMCCGEEEIIIYQwSwSXCC4bE1zgrozFaOXbU4TkT70719/5nd9py6qm/oggUeariC2F44lGsU/rsijn97///W15simv73vf+1obki82QkhRv13UP/tQt+pSYkef+tSneqNsQgghhBBCCCGcbCK4RHDZqOBCmLh48WK7eK46vffee1sh5A//8A/b8ieyTC1g2Jd9lmCiPpQ9gUVSH/JElOkTedQ94cZ6MexHPUr2o579x+8hhBBCCCGEEEIRwSWCy0YFF1RZSlW2m4oQcRzJMSsddGz5VN8erasO6wkB3rOtiojZ1DmEEEIIIYQQQth+IrhEcNm44IISPrYdda+uaypRiS3dpH7VO3sJIYQQQghhlzAW5u/wl2aTqfvGy7nxGEI/Oyu4WA/EVBVPtuEUc5Y9neYP/uAP2ukjEVyOVnA5Lqhr9aseCXezYovke3Vtu6O44LDDsjm2LRLn/vvvb23dVC15ZJ/sd5MoB8dcVB6+Nx1LvrUL7UN+nYvXKlNtcWiZ2k5bVQ8hhBBCCOHwGI/VWHM2mZJvav3QsVoIJ42dFVw++tGPtonwQuAox1iUC+eZMxfBJYLLMlw41K/HgS4SWyqxK5FTbGOZyLAO2Nd73vOe1j7e8Y53tLagnj2FyROX1D9bY9ObooSPWhOnD+1Ke2Hbb3jDG1p71cadi9df+qVfagVT5T9UQLGdNuqJUiGEEEII4fAYiy2K9DZ7wLjLuC+EMM9OCi5EDP97/etf34oFHvvrscC/+Iu/2L6+853vbH7lV36lnWYk0uUgwYXDyJEmpFToXASX3RZcXDTUv0gL9dd3gekmdUuUsbAum1gkMqwDeWQ7bFJUy2/+5m82r3jFK5oPfOAD7WO42R57ZKOHpRtB4nWRsKTslIU2rlwWoa35/cd//Mebt7zlLe0FXZ61Me3yTW96U9sfaBO1oPIilDnhy1OotJsQQgghhHB4IriEsDo7Kbh48gyBgtBAJLBP/7/77rvbu+f2SaQgaph6wTFcJrjoRPzmWKZrEFYiuOy24CI0ki24iCy6wPQl25d9bAq2y8bA9tjTD/3QD7XCi4uf34V7uliy9YrsYufOk33Ls8V/JUKH/PueoKIcPP7aPpQFUce+iJDagN/sz6ttCR+2FV3GprTXElJmn+aknWlT7PRnfuZn2rwSVSQCC3tn30RTbYwQ4xjOoVJFnfnt13/919vt9SfKwjmWYOr/8uX8bKt9hxBCCCGE5URwCWF1dnZKke/dMb/55pvbbQkc7n7rLN73vve1x/7Jn/zJVtggjiwTXLwXCUPE+NCHPtROHYngstuCCwedMy8Kqu/isiiJ1mArU0STDIU44UKHWcEFLoDEEEJJ2Rg7dn7smM0TKQkkpuH91m/9VvsbUcK+rX1kPST7ZWuiwzzW2//YuN989qqNaS9snK2ylze+8Y1te1QujteNilkkuBT2JyLthS98YXtBdzzfOQeRLBXFow1qc/oTtq3/8bvyINzYL3H1wx/+cHt+1rpRR4sidEIIIYQQwhUiuISwOidOcCGAcCrtg6BAICCCcDb39vaau+66qxUz7Nv6ERxvQoljO1/nIY8cNw4mocS6GdIv//Ivt8fi2HIuI7gcPzjgRADOeNVZ38VlWSK6sDVCQEWJrJs6Rp/gIsKDwMBe5Y39EyMIjgQlER/aTa2j4r3vCIvalqQt+E671q6UC7skeLBhtm69GG26Fu4l4rAfNkzwqPVcxgguREz2/s3f/M2tYCJvjus8nQfx1HGJQsrbb/oSbUAdElGJRyLb5FP7q7xra/7TPd5xhq0RgfU5s0mdmHpWwlwIYTicCDdfZpOIvV3pP8L24rq5yP7i4IZNEcElhNU5cYKLToHz6D9+c2yOqP+462+fHDjHJXBwyDiTnNcXv/jFrahhapJ9eey0u+XEkV/7tV9r82t/FeUQweV4QQgweBYtwUlfRWyR/I8NmL7CAZ6dRrNO+gQX50QsIQSyRXbHhl/3utc1Hpsun77TJq2ZYjv51lbYnW3ZuoiXW2+9tbU39kwgsbAt8cY5a5/+z7kn1hBInv/857c2LVrMoHH2YjxEcCFkPu95z7tWtoQWbUvb0e4cUxsm6Gg78vfmN7/5WmQLMcaUJNONiEDO1T71IxXFswsQh0UdEdFmk/5KvdgmhDAOzm1Nt+wm/cts1F4IU+M65QbCrP25oZCpsWFTRHAJYXVOpOBC9LCd/LvLX9MpOHO2sR8OG6HCRY4Twwm97bbbWueSiGKQZT8cPZ8JL/L70pe+tHVOOYQRXI4XBs0G1tY5Ud99F5UxyT4M0g2INjUg7xNcHJv4YHDG/kuo0C7ZKsGFPbJ503fYtoumbbVFtud3zrqFqNkee/6xH/uxVuzQNk0pIlSK9GL38kF0YkdsexEHCS7yxu7tR9s0ZU+bJKI4pryxZWKpunPOP//zP9/2JTAo1b5f9apXtYtma7/a2Nvf/vY26kXb3iXBRR332aK6YI8RXEIYjz6xruHdduX6rj/alT4kbCcc3b4xiRt7xJgQNkEElxBW50QKLkQSjpf8Eix0IBw4jihnzG/yxbmshUD7BBfOn7vHxBF5chf92c9+dnv8CC7HixJb1DcBYHZgvWpiN8QHA/JNiC6zgotjcrLZmylzZYPazKzgwn5MqSOCuGgSadi4tscObWs7Nm2QZwoSgYZYaXupzlObmUJwEY1GGLEOjKgZU5i8t16L8tVmlgku9me7O+64o827z5XPXRsYRHAJYT1EcAlHSQSXsA1EcAlhdU6c4OKiZf0V+yRCEDJ8/973vrcVO+yD8yZP8soB58SU4GJagu1NOyG++J877ffee2/rMBImIrgcP0z7sViyAQwRre+CMjSp50ol8hmwr3tqkUG/aSNsX32yTxdAwonvRJ+wOfbPrl7zmte003OIF+yP7bAr9m76jzxb94ONEVbYuP+yZ1OOTMuxgC5BRFSQtmIRacckuDj3v/yX/3LbZvxGEOlejAkzpuxpE6Jl2GwNIO1fPggs/u/Y8mnNFu2wIlz0C+xZ2xFJpC3pP4if/q+dKn9tg+BEbK02Xeu3bEII2wQRXEJYDxFcwlESwSVsAxFcQlidnRVcCBcluFiDwl14ThpnkSNKHHE82xk0yQvH0V18Ioj8WOPClBBOjIsdscJxDbrc+TcdiZNo347LMY3gcjwFF44o57xvUD00+Z/Eue2un8HuDMrXPbWIoEHkYDcveclL2lciEmeBMMg2tBXCA7GEyMH+2LY2oQ1oeyJe7MtATvSJ/7Et7cN2ztVv2or9+o1wo+wMAAkZ2owLsH5Au1UO8kHIKVyYCTPawZkzZ9q+Qfm5qFtDx//ZOwHU/nynHbBZ7Yf4wu7ZtLbjXLXFt73tbW1Ei/+rU+dDMNJm/F/9+E0bdp4RXEIIy4jgEo6SCC5hG4jgEsLq7KTgwonkUBJMnvnMZ7brTHC4OIwcRGtN2B8hhCjizjmBwhoWnDWOnPxw2mxjGgLn7Od+7udacUOeCCfWgSjRxfoQjvP93//9bb4sRhrB5XjA4S6HXl2pM5EiJZpV8j1BY/ZCQ5RgQxZ4FT3BXuyPmFDJgF2Eyzqde0KHvNTaJgQReeIMEB3YIPsifpieQ5xwns7LfwiTIklcOA3uiCgiWNipyBA2S6g0ZUcbcj4ESfvV3vyXjROW/Obi6zf/ty8Dw26UjwuzcrLGiv+zb+3AsbQf//Uf+4HzUEfajPPQjkyh8n/nI7pGNI//2Y+2Zv9EHmIM0cF5Wr9GPq3vkgiXEMJBRHAJR0kEl7ANRHAJYXV2UnDhgHEe7YPowmn0H06aNR44XbbjRHPYdCKmLRA5TGHwdBX7tH9TJTiyLmocxzqOC52Fcm3DgbNP/yfKOL5OqZz0CC7bDYfbgJowQkAwgCaaiI7opoq6mL3QcPYJG/ZhTRJOP9GBc1uJ0LDuC5FoDQ43m2Zz8iQ/dX7Oid16JU4QYbw6b/8hvhCOfGa32og1XYg41U60IzapvRAy7N/+RPH4L8GpnkbECfEbsVKavRjLl3Lym/8Ts5QxIUQ9+K//lDNje21Rm3QetjH1yP+dR5Wz+rMfebF/x1Q29b3z8V6Z7IrYAucfwSWE6YngEo6SCC5hG4jgEsLq7KzgYhoC8cS2frP2BHHD3XPOB+eS88VZ4+BxmjlinD6Oqo5FqjUpOHLe+491LcqR9D8CjYGXC6IBmQgC+4rgcjzgdFdEhsQ570sG1gY4sxcaYgTb2CXnne2yTY99JnAQNogrNeWOzebCul1EcAlhPURwCUdJBJewDRgL8m/0g7OJTxXBJYTF7OwaLgQNzqGpCZwNnQQxhQpLJHGh6gouBBTOirv7ph9wLt0d52gbTOlE3Ln3mdNiAMYJ5WiLfjDoItTYHwfc3f4ILrsDMUU9E9tmBz27KLiwd+3A+Wpj1dbYrXYTto8ILiGshwgu4SiJ4BK2AWPg8m9mk4hpNy53aRwcwpREcIngEsFlAMsEF/Xst11S9p2vi6cpPNoJm/ZqGo/2EbaPCC4hrIcILuEoieAStgHjB+M/48LZxGdKdEsIi4ngEsElgssAlgkuQinZTy424SiJ4BLCeojgEo6SCC4hhHC8ieASwSWCywAILurbHNbZQY/1eizQGsElHCURXEJYDxFcwlESwSWEEI43EVwiuERwGUgEl7DN6JuE9urfZpP+zqDdNiGEcURwCUdJBJcQQjjeRHCJ4BLBZSCc2QguYVvRP3kkuXV2ZhP71E/ZJoQwjggu4SixIKnx5Mc//vFryXjWGNa4JIQQwnYTwSWCSwSXgSwSXNQvpzaCSwgh7B4RXMJRYixqXCqapZuMUy1uH0IIYbuJ4BLBJYLLQAgu6nd20M2+3IGK4BJCCLuHaz8H1/W+m1wTjAfyKNSwToxB2SBxpZtqbBpCCGG7ieASwSWCy0DUOVsRzsueusn3GfiEEMJuon+fTYSWiC0hhBBCWEYElwguEVwG8id/8idtfbOb2cRu2EgIIYQQQgghhIAILhFcIrgMhB0QXdQ9++gmdpE7nSGEEEIIIYQQigguEVwiuAyEoFJ24HU2RXAJIYQQQgjHhZoa2Teu7Sa+kPHvotT3n27KGDmcZCK4RHCJ4BJCCCGEEMIJY9a/WZT4RrNPyqpkAXE+U9//JNHhjhHCSSWCSwSXCC4hhBBCCCGcMPg3fBp+zB/+4R8uTPyn3//93+9NfB1+T9//JD6WY4RwUongEsElgksIIYQQQggnDFN9+Dz8mBJQ+C2ziR/zz//5P+9N/Cw+1ux/Soyx7wgu4SQTwSWCSwSXEEIIIYQQTiD8Gz4PX4nP1CeqrJL4Pn/wB3/QTjniP4VwUongEsElgksIIYQQQggnEFEufB3+0MWLFycRXeyDz8U/+tM//dPWjwrhpBLBJYJLBJcQdgB9lEGNvqkv/fEf/3EGPCGEEEKYg+hiAdx//a//deu39IkoY5J98LOMPzL2CCedCC4RXCK4hLAD6Jv0Xfq22WTRuk9+8pPtNiGEEEIIs/Bz+EJ8mD4RZUyyD75VxJYQIrhEcJlQcPG9ulWu6WBD2Cz6JX2Y/m426f/0fbYJIYxDdJj2Yy2CWlRSImQaM+R6F9aJMaoxZdf22CIR3Xg1hKkQ5cLP4eOwM75Ln5iyLBlz+K91W0TdhhAiuERwmVBwedrTnta85jWvaT72sY+1ZRZC2BwluCwaABmgR3AJYTyu98YQ2pHreCXjCWOHXO/COjHFw1iya3uScaYpICFMRa3lwtfhyxBO2FrfuKIv2bamEhlvRIwO4QoRXCK4TCa43HDDDc3LXvay5u67746qHcKGieASwnpwva9reLddub679kdwCeuE4KL/7tqeZBwbwSWsA8ILf4iNGT/M2t6ipJ/kY7FLPpP9hBAiuERwmVBwefzjH9/cfPPNzU//9E83f/Inf3LVsnYHFw42wC5cTNhKJZ8T2huOkgguIayHCC7hKIngEo4C413+DX9m1vb6kv7RNMuK+ovYEsIjRHCJ4DKZ4PK4xz2u+c7v/M7mzW9+884KLuXUsh0XlkoPPvhgawchHBURXEJYDxFcwlESwSUcBfwe/tCnPvWp1n9aFumib7SNbfWXEVtCuJ4ILhFcJhVcnv/85zdve9vbdlZwUe/sZvbCo57VfS4y4aiI4BLCeojgEo6SCC7hqLA8AH+I3/Txj398zgYr6R8vXrzY9pXpD0OY55rg8uhHP7pNEVwiuIwVXNiL6URPfepT230r813tcNmFwU8El7BtRHAJYT1EcAlHSQSXcFQY0+rf+Dt8mtk+sBL7tA0/KYQwzzXB5XM/93Pb9IQnPKF50pOeFMElgstgwYW9iG75lm/5luYnf/In20cVKq9dZJHg4mLjvCO4hKMigksI6yGCSzhKIriEo8S41tiBz8SXmrVD4wvRLR6fv6tj/xAOyzXBheMsiVSI4BLBZajgwk6e+MQnNo997GPbuv+lX/qlnXbqlgku7CmCSzgqIriEsB4iuISjJIJLOGqMbflKHhPdtUF9oqlGfB7+UcbAIfRzTXB53ete16bHPOYx7bSiJz/5yRFcIrgcKLiwFa9swjn923/7b69a1G5CwbdArvrsXnRccCj8udiEoyKCSwjrIYJLOEoiuIRtgA/EN+JD8an0iXwdPlOmEoWwnGuCCxFDevazn9087WlPax3pL/mSL4ngEsGlV3BhFzfccENz6tSpdqFcx/O0HmW3y7AJolIEl7BtRHAJYT1EcAlHSQSXsA3wgzwQg6/Dl2KTfCffZSpRCMu5JrhYf0IikHCwTRMhuBBfIrhEcJkVXNiFKWi+v+2225rf+q3fOhHzN9W9umZP3YEPwYVtsZXZtGqZ+F/f/pYl/xkr+ti+b18HJf9b5Vhjz8v2q5Rh/a9vn4uS7Vc5J6lvf8vSKue0rPz0Wfqxrl1WGiu4rFJPlao8huI4qxzLf8Ycp/K1qWOtchxpU8fyH2kMjtW3ryFp7LEqf337OiiNKT8cdKyHHnpoEsFll+1ik8fq29eQNKb8UPnr29eiZPuxx6nyW3QsY9WpBJdV6qryNpZVjiWteqy+fR2UxtYVVj2nVY819nirHGtoXfGB+D3l4xj3+z6EsJxrgovGJhEcPvShDzVvfvOb2yiGL/uyL2unjHzd131dBJcTLLio92c961nNV33VV7VRLTfeeGMb2fLRj360fe6+8jkJsIu+NVwqqePZxPbYzdAysh0bM8Dq29+yxKbHRhmx5b59HZTUu/IYg/ahPfTtb1FSDsp8jI1pq9rh2GPpH5zXGDhjppn17W9Rqj5pqABS6G/0XX37rNRnlwRBEWhDH9euP9Rf9u3/oKT8DMKGIl/mhffta1lyTnV3bQg1HVC59+1vWXLN0L8PhRPkBkbfvpYlduFYQ50o1ybt13Wmb3/LkmMpw6E4Flvv29eQpDw8YnQotpe/vn0dlJTfULvQV7hWH2Tvfe1qrOBizKAv69v/QUk7MdYYim0P6iv6kvahPIb2TeqUDbKnvv0tS3Wsoagr5d23ryFJmdjHUESt1thtaHI+Y68hrqP+t+hYfbYnrSK46DONT/uOsyhph67DY5x45ay8VxnHaPtjrvds1di9b18HJW3S+Gwo7N04q29fy5Kxhev3GHFCGSj7sTYof8pjDPLGBvv215fYn3zpl/hKIYTlXBNcCh0XR4Ug8PrXv7558Ytf3E4z+vIv//LWySa6cMAjuJwcwUX9E9yILdZuYRPW+7FArvPlyIxV048rBwkufYntjRVc2F7fHa2D0qqCS9++DkqHEVz69rcoccad15gBmLZqIKDN9+1zUdJex65DVIJL3/4WJX2BPmFVwaVvn8sSW/Lfoc6G/tBAr29fByXlt4rg0revZUn+9LtjBBf2p9z79rcscbxcJ4bCCdJP9O1rWWIXjjVWcFmlr6jr4lBKcOnb15A0VnBRfvLXt6+D0ljBxZhgFXsfK7isaheSMcVYwcUYpG9fy5L2oTyGOlGuba45Y66JlepYQ1FXrjt9+xqS9GtD+0AYL47tL5T52GuI66hyGHuswwgufftblLRDffRYwcWxVumbVhFcFk2nPSitIrgY4/fta1nSV/Avxgouyn5s21pFcLE9G+zb36LEXtlSBJcQDmZOcIEOQQO6995728f8csZNKzKVhOPt8b/Pe97zmu/8zu+M4LLDgov6fe5zn9vcdNNNbd0T3ES6sIm9vb32XMcMXnaBVQQXdb+K4LKKExrB5QrschXBxeBwFcHFefXtb1HatODCiWeDQwfMhxVcxtjFqoKLPj2Cy+qCi2Mpw6E41qYFl1XqStpmwUVf1revg9JYwUUbXlVwYYNjBRf21Le/Zcl1dNsFl7HOrvNZVXAZe6xVBZex1xA24bq9iuCySt8eweUKykDZj21b8qc8xiBv2n3f/hYleYvgEsIwegWXQodZqufb3/721hF/6lOf2k41sp6HqUWnT5+O4LJDgsv3f//3Ny94wQva6KVv/MZvbIWWL/7iL26jWuxXeSong9mTEtXSJYLLIymCyxUiuFyfIrhEcOlLEVwiuMymCC5XiOByfYrgcgVloOzHtq0ILiFsH0sFF43doMUgS6f567/+683P/dzPNa997Wubl7zkJe0aHqabiILgoHPWfR/B5XgJLsQWgsr3fu/3Nt/+7d/ePOc5z2luvvnmVkR71ate1dbLBz7wgbYsnSubGHPR2CUiuDySIrhcIYLL9SmCSwSXvhTBJYLLbIrgcoUILtenCC5XUAbKfmzbiuASwvaxVHDpouHrmAwWiAA/8RM/0fzwD/9wO+3EOh8cdNNQiC4iJX7oh36odeg59hFctk9wOXPmTEMUE5FEWCG2qL+qS8KZuiKwKTMD7TEDlV0lgssjKYLLFSK4XJ8iuERw6UsRXCK4zKYILleI4HJ9iuByBWWg7Me2rQguIWwfgwWXLjoBF34XI1Evnmh06623tmt9POMZz2inonDeX/aylzWvfOUrWwc/gsv2CC5EsJe//OXNC1/4wnZNlloMl/hifRblLL/KZKxDuOtEcHkkRXC5QgSX61MElwgufSmCSwSX2RTB5QoRXK5PEVyuoAyU/di2FcElhO1jJcFFp2sw4yJrAGvQ9tu//dvNr/3ar7WCieiXV7ziFc33fM/3XFvjxbQVETGEGc7/G97whlYQIA5EcJlWcHnjG9/Y1gFhy9OEiCzK3lQv0UemgklEMcKX/73zne9s7rvvvjaP8l4D1jEXh5OAiy37UOdsZkhiV8px6GDFdmyNbfXtb1mStzGDBzinvn0dlDiwYxwoaDfaWN/+FqVqk2MGe9or53DssZS58xqD8tZf9O1vUWI/0tj2pU06r759Lkva8xgb1Pex2759HZTG2sUq9STJn3wOLUNtiv2NabuVlN8YEYlNOFbfvpYleau+dwjqU1mv0lc41phBuWM5r759DUnKY4wTNbaf7aYx1y55Uuar2LtyZ4ND21WNm/r2dVDSTsY4NrY1Runb17JUNjhUmFB+7GKVuqpjDcWx9C99+xqSlMkYG5S3seelzMdeQ7ThVY81tK8oVrEL+dJHj0E5O9YqfZO+Ysz1nq0al/ft66A0pq+A81qlDatfxxpzXrZV9mPtQv7G3syxvTz27W9R0mfql4b2FSGcZFYSXLrUxVYHSXAgcBALfvqnf7qNbiG0vPSlL22jJ0RV+M4Uo9tuu62NuBB9UcLLW97yllY4ILoQE97xjndEcFkiuPz8z/98K079zM/8TPMP/+E/bN70pje1ZVkRLYSW17zmNa3IZYqX8ie6WK/Fq0gXTxtSTspDxzn24nPScAFUPgZIY9LYi2zZW9++lqWy1TE4Xt++DkqONea8sErZKYexNln1NLYMD3Osvv0dlMaWn7pdtQzHHMtx+vYzJMnfmGPJ29h6qiSfQ491mHoaaxeHPdaYNmzbVctPGopz2qRdrFp+0li7WLX8Vqmr42AX/jem/Byrbz9DkmMNxbE2ZRdYpfzG1hNWtcFVjnUYuxhD2cUqxxrbV9Sx+vZ1UPK/scdaxQZXqSv07eugJH9jj7WpugrhpHJowaWP6vyEfgonFDkh8oIIQHARZWHNEOuFfN/3fV/r/Ftc1/QXwospStYOieCyXHAR3UJsEdGi7JSvaVzK1CLGnipF6LJey+tf//pWzBKFJPxcXt2FSUcZQgghhBBCCCFMz1oEF3DkRUsQJggShAdz/ogM73//+1vxRBSLSJgf//EfbyNeCAW1eOuLXvSixqKuvreuiOlGtv/lX/7l5j3veU8rupwEwYVAQmRx7gQTwhXxhHAlcsh0LcKK99bKueOOO9pIF9OM3v3ud7dlbbqXMnDeDz74YJv3RLKEEEIIIYQQQgjrY22CyyzEipo7akEskS+/+7u/2woCIjdMIyIYEBJEvIjUEJnxoz/6o63AYKqMSA7RLzXliPgi8oWw8N73vre5++67W6GCCEO8IGIQGxzn/vvvbwUfC+MRQAghRBfiiPwQS0TkEF7MYyzRhbhSYXMltogMqXUHiC0WSCPalNhCaLH4lEgSxyO0EH7k46Mf/Wgrsoj6IRR53LKFhwlIzqEiWZybKBbCielCFcVi7RvlYTqQdVlME/I0KNEttiPQKNPf+q3fasvYwoPySWBRB4loCSGEEEIIIYQQ1s/GBJcunP5KIkckggZRgCBDwBAB8pu/+ZttNIt1SKxBYu0R0RwW4xXZQZyxPglR5rWvfW0bKUOYsBaMtU0sukvAMCWHEEPkIHYQPYgfok5KfCGSiEohmIgCEbEieoXwQmAhFhFgfJZH0TC2EyVDuBE9UtEsommIOyJsKoLFsUWsEFWIRBapNSXIgrWe1GSBW+dQ664QVDxi+wUveEGbPFHIo5qdqzIhKNm/fBOI5I+gUuXZLeMQQgghhBBCCCFsliMRXGbpii81bUcECcGD8CFapB7vSiz58Ic/fG36jciQipAx5YbYIgrGNCTiiyk2nthD1CBu1BN9bFePp7aNR1R7lLL/mOZkG4KIdWSIIxIBx+e3v/3t7Roz9mFb//N/x7E/wk8tBOyY9mVKVD2u2XZe5dH0H5Ep1mJxDsQYkToiX0TAiNIh2oiQIeQoi64Y1BVaIrCEEEIIIYQQQgjbwVYILgdBRKgIGEKMaTymAIlIMWXnYx/7WHPvvfdem5ojAsS6J7/4i7/YTj0inHglmlhwlnDiM5GEwEIIIchIRBAiSokgBBpCyNve9rb21Wfiid88ytq2/uO/9mN/JabYhkAjH3fddVd7zEryIo+1ELC8mwolasU5iVwRQVNTnExlUgYRVEIIIYQQQgghhO3nWAguQyFIWG9FhExNAapIGVOArNFS661Yt8X0n75kqpEpRxbgFU2zKBFHrM/St49aI8axHNOxraVCPJEnC9eaqkRIqYV5I6aEEEIIIYQQQgi7wU4JLjWlRqq1TAgZkmk3Uj07vhbA7Usl1hBFTNtZlGxToklfEpFTx6vjV34qf5kKFEIIIYQQQggh7B47JbiEEEIIIYQQQgghbAMRXEIIIYQQQgghhBAmJoJLCCGEEEIIIYQQwsREcAkhhBBCCCGEEEKYmAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIYQQQgghhBBCmJgILiGEEEIIIYQQQggTE8ElhBBCCCGEEEIIYWIiuIQQQgghhBBCCCFMTASXEEIIIYQQQgghhImJ4BJCCCGEEEIIIYQwMRFcQgghhBBCCCGEECYmgksIIYQQQgghhBDCxERwCSGEEEIIIYQQQpiYCC4hhBBCCCGEEEIIExPBJYQQQgghhBBCCGFiIriEEEIIIYQQQgghTEwElxBCCCGEEEIIIYSJieASQgghhBBCCCGEMDERXEIIIYQQQgghhBAmJoJLCCGEEEIIIYQQwsREcAkhhBBCCCGEEEKYmAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIYQQQgghhBBCmJgILiGEEEIIIYQQQggTE8ElhBBCCCGEEEIIYWIiuIQQQgghhBBCCCFMTASXEEIIIYQQQgghhImJ4BJCCCGEEEIIIYQwMRFcQgghhBBCCCGEECYmgksIIYQQQgghhBDCxERwCSGEEEIIIYQQQpiYCC4hhBBCCCGEEEIIExPBJYQQQgghhBBCCGFiIriEEEIIIYQQQgghTEwElxBCCCGEEEIIIYSJieASQgghhBBCCCGEMDERXEIIIYQQQgghhBAmJoJLCCGEEEIIIYQQwsREcAkhhBBCCCGEEEKYmAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIYQQQgghhBBCmJgILiGEEEIIIYQQQggTE8ElhBBCCCGEEEIIYWIiuIQQQgghhBBCCCFMTASXEEIIIYQQQgghhImJ4BJCCCGEEEIIIYQwMRFcQgghhBBCCCGEECYmgksIIYQQQgghhBDCxERwCSGEEEIIIYQQQpiYCC4hhBBCCCGEEEIIExPBJYQQQgghhBBCCGFiIriEEEIIIYQQQgghTEwElxBCCCGEEEIIIYSJieASQgghhBBCCCGEMDERXEIIIYQQQgghhBAmJoJLCCGEEEIIIYQQwsREcAkhhBBCCCGEEEKYmAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIYQQQgghhBBCmJgILiGEEEIIIYQQQggTE8ElhBBCCCGEEEIIYWIiuIQQQgghhBBCCCFMTASXEEIIIYQQQgghhImJ4BJCCCGEEEIIIYQwMRFcQgghhBBCCCGEECYmgksIIYQQQgghhBDCxERwCSGEEEIIIYQQQpiYCC4hhBBCCCGEEEIIExPBJYQQQgghhBBCCGFiIriEEEIIIYQQQgghTEwElxBCCCGEEEIIIYSJieASQgghhBBCCCGEMDERXEIIIYQQQgghhBAmJoJLCCGEEEIIIYQQwsREcAkhhBBCCCGEEEKYmAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIew8n71wtrnxUY9qHnUtnW7OXnj46q+rcrl5+IF3NWdOdfd7NZ3+qeb8pc9c3S5slk82e2duvK4+bjx7ofns1V+PO/O2fFuzd2lXzm4DXNprzlxXfiukU2eas3fvNXt79zTnLz50dcer8HBz4ezp6/a9S7YaQgghhAguIYQTwPSCS8SW7SWCS1jCFILLbDp9e3Pu/MVmfI8SwSWEEELYdSK4hBB2nmkFl4gt200El7CEdQguV9OpM7/Q3D+q/UdwCSGEEHadCC4hhJ1nOsElYsv2E8ElLGGNgkubTt3anHtg6DSjCC4hhBDCrhPBJYSw80wjuERsOR5EcAlL6BFcxtnHQ83F8/c0e3t3NbefPnXdfq6lUaJLCCGEEHaZCC4hhJ1nCsHl8oN7za0RW44BEVzCEg4tuHT5THPp/l9YIMLe2Vx4+PLV7UIIIYRwUongEkLYeQ4ruFy+dF9zR9/d7IgtW0gEl7CESQWXK/T3D6ea02fvX2Eh3RBCCCHsEhFcQgg7z2EEl4gtx40ILmEJaxBcFk83fHlz7uJ/urpNCCGEEE4iEVxCCDvPqoJLxJbjSASXsIS1CC74TPPg3mubUzP7PnX7+SaruYQQQggnlwguIYSdZxXBZZHYcurMu5oH1rA2w+VLF5p7+hbiPHWmOXv3Pc35i1O4bZ9pLl24d8GCn6ea07fftf/bvc2FYy0mTSG4XG4evviR/bJ4T3P2zE3X7euRcvpIc3EiO7hS9z3HOn17c27mOIcVXBYe61G3NLef25vIzrpstiwPZG2Cyz4P39+cnWu/dzTnH1rHuV1ty3efXbCGDNvZa/bOX5xgWtMm+o1d65uOwO4vX2ou7HXt4epxJrGBEEIIqxLBJYSw84wVXKYXW2ZFgM7xH77Y3Hf2zNyd8b506swvNPev5HB4ssq5xU9VmUsG6r+62Lm5/EBz7pbuvk41t5x7YN/FGMofNedvf84j/x/llF5uHjp/x/Xldcu55uK1vx9GcOEkfbDHQVqUbmrOnP3g6k7T0Lonut13xWlaWXAZbGfduv9sc2nvts5vNzZn9j55ZX8HsuGyHMo6BZfmPzUXz738un0/6lHPaW4//0dXf59llcdC77fl++7sF1kWplua2991f3NpdNESQX51RL+xSh1O3Ddd5fLFc80t1/1vWT0so6e/WTpVbN12P9u/XW3/D/9ec27ZMUVlPvgvZvrtQ0RgPXS+uf06G8z0uRBCWEQElxDCzjNGcFlPZMsCweWgQXJfGvvI2YcfaPZuv6V/XwemW5o7zj+470LM0uNYXid6HMChBuszYs2cI7Wq4PJQ88C5WwcJX3Pp9B3N3qjIEE7Z3ggnU9p3zM79XvPpFQSXhVPjlqV22twfryi4bLIsR7JWwWW/rOcc/WVO7UjB5fKl5v47h4mzfWlUH3aYfmPolMu19E1XufyJZu/W6/vW1cSF2f5mPy3s6zZh9z2Cy4P/au5c51L71Kw/nu+3V4rAOkj0DiGE0CWCSwhh5xkquKxvGlGP4HL+d8aLLZWGPnJ2FUFnLl1x9GdLa86xHDxw77tjPCJCZlasmTvuKoLLp/cd3xdd95/RaYQQtvAR4wemm5ofOfPSmbJbLrisJLZU2ncCz539kc53QwSXzZblaNYsuMxHf+2nhc7oGMGlf42YsenUrXvNgwc1tB6xYnQ6SHRZY990hZ5+ZhVxYU4cXhQpsym7n7+WnDlzvQ3Np0f61/m+Z5XIn1kRamyEYwghnCwiuIQQdp5BgssCB2CaNVtmB8k3NqdPdweswsrf09xz4VJn0Cqc/zeac713gAcMcBc6TQvm9T98sTnfu36C1HM3ec6xHDpw77ljLA26QzrvRM3ftR4ruCxyZBeUk3US7ulbl2E/Dbmz37fOh9Su1TOzpkN7rEV1UmmJ4LLIBvqOpf4XrQdyLR0kuGy4LFdh3YJLr30vqqPhgku/SLdo3Z1lfcdB7XSRcNBfh+2aQOdub07Pbb9E3Fl331TMiSVjhYEee+4VbTZp9/P92yNpZnrStWmE3QjCefscG/kzH8WV6UQhhLCMCC4hhJ3nQMFlrWILlgySDwwlXxCmvlSgWOAA7Dvad97fFXV6WDRtYc7RmJ9WNGjg/tkLzdkbO/u9lg6eGjPvLPQ5j+MEl15Hdkg57Z/pxb07ZhzNfQfr7P3XO1fX0V8vB9rZ5Qeb83csmnqxqNwWHeuAdYCWTvNYLrhstixXZO2Cy7yIstghHSq49EzhGxQN0d93LGunfVOiDq7DyyMei72JvqnoEb/GTH3piVbqK7vN2v2ia8lNza17n+g53meaS//d73XW7+mL/Hlts/fgUHGzp98fEjUVQggnmAguIYSdZ6ngsiy0fdRAdBkLBslD9997R3iJQNH7tJQx59LnqM3fHV5lWlGvQ9emAREyB04nwhjBpcchG1VO+87M+Z+acZiW3O3tm24ydHrYQtFlgR302cDgYy2KQFgmuGy4LFdl7YLL7ELDUv8UxuGCyyGiEvrq8sazzYXeE+6pw0e9aD/vn776+zL6pgr25HNDfdMVLjcPX7hzZZua76v6+qhN233/tWSU6HGYyJ+VIxtDCOHkEsElhLDzLBRcBqwjsJ4pRdKY8PY+Z2aRE9e37aK7n0voc9RmBY7Rg+/r746e+ltvbd7a+f9yJ3LIdCKMEFzmHI8VymluCsZi52++XoY6s1fpnY7UJ7gc/lj9U1iWCC4bLctDcCSCy6J2MVRwGSMiznIlP6fOnG3u9pjoey4sflpRjyM+KsqoT1C8LqJkg31TMZenoTbVF1XUc4yN233ftWSs6NFzbgMjf1YR2UMI4aQTwSWEsPP0Ci6DF62dYmpD3yB53N37+butiwSXnjuuY8Lor9HnHM0ec37gvtQRvM754bxfuD6vC++8Y/a8FjkZQ53TnvNbqZx66qZ3P6s7OY/Qs49eweUQERHX6FvLY5HgsumyPARHIrgsKrfVI1zGRVEMoacORx/j6rmfvr051yvubLJvKlZsd4OEmqOw+75ryZJoxwXMX0+GXI/my3J8vxJCCCePCC4hhJ1nXnDpT6fOvLW5q3f9ipGRCHP0DJKXigs9zDmKCxyMle/o9jAg9HyMg3z9tgb4D884p0sG/bN5GeGQDHViV3a859al6TmPiepl3lHqcbbmjrVa2P/8sRYJBxsuy8NwLAWXPqFNWrRo7irM52VV8WAhG+6bilXEhWH/OQq7n+BaglXqYqJ+JYQQThoRXEIIO88QweXa1KFF04wOdUe5Z5B8Zq+5dPXXQQwVXOa2O8ygeN6hmLujOTcIX+QozNwNvurMXe/YLB70X1+Hy5yDgYLLXL4XOcVDmD1mT5nPOYiL7sgfwJxj1iO4zNnAiqLFXJ4XlNGmy/IwHIngsugchgou+0XcO8Wrm6486Wxv797mwkpPdxrYbg7Dpvuma8xue5C4MDAq5kjsfr6eRl9LWsZG/vRE8wxdEyqEEE44EVxCCDvPQYLL7Doti5yb1Z/GMD9IHh2KPVBwWeVu7mJ67nrPDe5nB+6LnJmu09PZZtap73UeZo+x7JwGOo4Ln5Y0RepxvKYSQebOb15wmbf38VMOWoY6lJsuy8OwdsGlLxplkbg2XHBZ+HSfRemUR3/vzTxqfgmTigf9bL5vKvqmSy1Ze2SuLBb0aUdi91MJLvvMCarL6mOsaBVCCKGI4BJC2HmWCS79i+Iucm5WXc9loAiwjIGCy2TOdkvP3fqeu6BzjlTfndLrBvfdu7czA/k+R2jWAVp6J3ZgWc85G9Om2WPOO5ur1ssKgssqUw5aZo+1wAnccFkeirULLj1CwEJHdozgggWPiD8wmXr0G8sjX+bEg+kFl6Pom64xZ6OLo2sGC0NHYvcTXEuuMS+iLLy+zZ3rYcSyEEI4WURwCSHsPIsEl6VPIFr4aNxV1nPZbcFl/o7w7GB85g7zdaLK7DHmHaHrHaCD7qwOLOsex3vKNHvM6eplCwWXDZfloVi74DJvf4ujKcYKLrjcPHzxfHOud62pg9Itze17D/Q71LsuuMyJC4uiDIdut8+R2P0E15JrDI386dluaVmHEELoEsElhLDz9AkuQx73fPnSfc0dc4/h3U+nf6o5P2qdhAkGydsiuAya8jMrmlzvWM46MLN3lK//fcx0Igws6w07Szsd4RLB5RH6oh4WOqerCC4dHr7YnN+7e6T4siCKYRcElwOm1sy1wT5xYUQkzNHY/ZSCyz5zj5rvO99MJwohhMMQwSWEsPPMD/QXrakwy+Xm4Qt3Nqev+++VNG49l80JLoPD4QfRMz1igVMzu+7NdaLJdREwPY7csilDM78dXO4Dy3rOwRxqEysyV3+r1ssKgsuqju1c5NICJ3zTZXkY1iy4zLe/Zfs/pOByHQ81F8/f0+zdfbY5c+A0l54ovQ0ILkfVN11jzp5nxYWRa70cid1PLLj0rDk0F9EzK0JN/kjyEELYbSK4hBB2ntUFF3x6f2D/os5/K93UnDn3e/N3invZnOAyv92SO7QHMp/vheH1S9Ziud7R6nOyFkexXP/fIecysKyHiglTMeecrVgvc/nuEVOmEnfm7vYvKKNNl+VhWKvg0rdg7rJ6nlJwmeHypebCPYujX+bb8dSOfA9H1jcVB4kLI6YT4Ujsfvp6mhPCrhOZBggyIYQQlhLBJYSw8xxOcNlnLuy60tD1XCYYJA8VXOacgEOEf8853Mv2NXt3uPI3E/q/YHrF9XVUjsvMYH/Z3eZrDC3rkc7VoZnN14r1MmcHPYLLRNEK8xEJi/az6bI8BOsUXPqmEy212TUKLtew5stec/ts/zU3zawnYmSldTrY+c1XH1E985SkI+ubHmGpuDC3z4MEoaOw++kFl/l66Zz3st9CCCEMIoJLCGHnObTgss+iR0U/6vSdzYUD1oLZqODS4wQMy+MsPeH1B5XbdQ5LOUDd/CxximacndZxmRnsD3NmhpZ1TzTCIEGnhzbvN111Mu9pzl/sy2XP8UY7tH110jddaApHsCe/CwWXTZflIVib4NJXXgeJAMMFl8uXLjT37O01e+dub06PLtshdtM3nWaFqSNzokW3DI6wb7rGbB5KQOjZ54F5Owq7X4Pg0nPu1V8sj34JIYQwhAguIYSdZwrBZfGjovcHp1OtK7KMwYJLnzNyU3Pr3ieuOj0D6XtK04GD7RlnhqDw6a4Dtuzu6Px/H3hg7HQiDC/r+QiOVR773WcX/XmdP97Iepm72yz1CS59NjByWlFvVNfiSJlNl+XKrEVwudw8/MC75tdOOVCwGCK49NXl+DKZ6wP72vJSsWQIB+X1KPumYj4PV8SFWSFm2Llv3u7XIbjsM1v3bXl+Zr+5XL8w8XjhNoQQQgSXEMLOM43gss/CR0Uf5DRsUnDZp89ZPnVrc+6BoUPlh5oHzt064wAMcSRmnJn9Qft999/1iEOy1CmadYRe2rz1bMcJGexQjSjr3voc99jv3sinRXfGex3FoVEEfXUi9Qku+/TYwJAnc7VcfrA5f0ff2h9LpiZtuixXZQ2CS//TzIY47AMjXOaEkCEib5eedah6o6t6IlDG9Bu9/c5Muz2yvqlDn7jwyftmynigQLlxu1+T4NIb+fP7Pd9NKH6GEMIJIYJLCGHnmUxw2Wfho6KXDrI3LLgsisY5daa58/7Omgp9XL7U3H/nmZ7/DhQGrnNmbmxOn35kwH7Q3dH5u8WPpOF3VseU9aKnUN3S3L73wIHiUu/aGEvFtwXHO31Hs7d06swisUVaILgssIEDRZdF9d+mZWvBbLosV2RSweWh5uJ9d/Y+FWiYuDV0SlGPEEJkuOO+5tKBhfOZ5tL5n5qpl8ViUG8bHCKIPPx7zbkzs8JD33GOsG+6xqwAdVPzI2deev1+B0/327Tdr0twmRW89+vurW9t/lbXtkdPgQwhhIAILiGEnWdKwWXxAHs/rfOu5CjBZZ+F0Tj7jtrtdzV75y9e7ww8fLE5v3dXz+BfGuP49jmH0jJn/Sq9U2akMdNhxpb1oqdQcZrPNnfvfaS5eF2d7juwF+5t7j7bL0ocHHmw5KlXZ983s3aDR/2+rzk758h20yLBZZ9FNrDv3J69e+a82qfaLKr/SgfV4abLcgUOK7i05bS3/PHLp3+qOX9piAAwYg2XRWLk6dubc3v3Nhfmjsd29vqfUrQ0WmyZfb7n+kVw92nXlllUFmMivdq07r7pEZaJu8sEqX42affrElz2Wdj/SmPLJIQQQhHBJYSw80wruGDRAHvRXecjEFzQuw7H2LTvaA1+/DX61mmQhogmfQuP7qdRd1ZXKOuFU2hGpqGOdm80wJBk6sR79v/bPb8lgss+iyOyVklDRLMNl+VYegSXSdOofA8XXJZHOY1JA6a7TFGHB0XFHEnf1GGZuLDKYsEbs/s1Ci6L+t82rfho+RBCCBFcQgi7z/SCyz4LHYa+O65HJLhgZedeGhIW30PPmhNDRZO+RSjH3VldsayXTqUZkMYKBA8/0Oz1RR8sSVfufM+e33LBZf/EFkxbOCjtO7Pv/IXm9lUeL73pshzD2gQX0Rm/2hNpsowxgss+hy3X/fZ8x/kHh7WlwxzrwClyVzmKvukai8WFlReG3Yjdr1Nw2T+FRZE/mU4UQggrE8ElhLDzrEVw4cj2PZlEmru7e4SCS8vitSb60yrOY5fVnvjRMifWjL2zepiyFur/qyPFiX3H7133D1hLo4+h9XJTc+bO37l6jLGCy1XGCDynb2/eZerIZy80Z1cRXFo2XZYDmVxwuTINZnaqzTBGCi4tq5Trqu157LFMO/rgzPSZg9h03/QI/Y/6P+zCsOu2+/UKLv3TvTKdKIQQDkMElxDCzrMewQULFoCUrlu/4KgFl8K6DvcsWH/iiuO4N7fewCrMTisa48TMiDWj76xO4ZBwmu7dL4v39K+f0q6Bstfs3XNhGnHg8pV1QebWdGiPc8/Mui4rCi5Xadfc6D2vfafv3N3Xr58xJ7isYnMbLsuDOLTgUu1kijyvIrgUB5TrtXz2re8yljpW3zoqU/Ubm+qbuvSsNzX4aWgHsS67X7PgMtd3y+tUZRJCCCeTCC4hhBBCmGcSwSWEcHyYn2q18hSrEEIILRFcQgghhJ3is82lvdc+Eokx+9SXocxFg4yLpgkhHDPmFhM+7BSrEEIIEVxCCCGEnYLgclvHadpPN55tLozSSnqmFmThzBB2mMvNwxfubE6nzYcQwqREcAkhhBB2jPl1iwY8DrhLz1O4MrUghF3mEIudhxBCWEgElxBCCGHX6Hs099DHLfc+rnekYBNCOEb0RLdksdwQQpiECC4hhBDCzvHp5sLZF3UEk0qeRrQ38+Qj7DtcFz+y+CkxZ+9fbR2YEMIWsd/O/9W/uv7JSA9fbM6fu/16sSXRLSGEMBkRXEIIIYRdpGda0ErpukechxCOLz1rM/WltPkQQpiMCC4hhBDCjnL50n3NHYcQXU6deVfzQByvEHaGyxfPNbf0tPVHUqYPhhDClERwCSGEEHaZy5eaC++anTJwQDp1pjl734qPkw4hbC996zt12v2d91/KVKIQQpiQCC4hhBDCSYDwcs9esze3XsPVdPr25tzeXnPPhThcIews+oG9mbWaCKx3f6S5mGi2EEKYnAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIYQQQgghhBBCmJgILiGEEEIIIYQQQggTE8ElhBBCCCGEEEIIYWIiuIQQQgghhBBCCCFMTASXEEIIIYQQQgghhImJ4BJCCCGEEEIIIYQwMRFcQghhEA83F86ebh71qEddSzeevdB89uqvx5JLe82ZzvmslE6dac7evdfs7d3TnL/40NUdh2n4ZLN35sZOed/YnNn75NXfQpiKT+/3bS+6amOnmlvOPdBcvvpLl89eONvceM0WpdPN2QsPX/11VS43Dz/wrubMqe5+r6bTP9Wcv/SZq9tdZdv6rK3KT7ceb2pu3ftEbz2GEELYLBFcQghhEBFcBqXTtzfnzl/cL63jxkPNxft+oTl7zzYJGhFcwrq53Dx84c7m9LX2e2dz4eF+N316wWWk2IJt67O2LD+XH9xrbq3yPPXaZu/BnjIMIYSwUSK4hBDCICK4jEmnzvxCc3+fw7R17Dt9Fz/YnD1z036+t03QiOAS1szD9zdnT5+6al8vas5e+PTVH+aZVnBZQWzBtvVZW9eHfqZ5cO+1zalr+3hX88ACAS2EEMJmiOASQgiDiOAyOp26tTn3wDZPM3qoeeDcrdeckwgu4WTRnYKy75zfutc8uMQ3n05wWVFswbb1WdvYh14noi2eIhZCCGEzRHAJIYSTSo+zME5Eeqi5eP6eZm/vrub2awP8mbTVosu2CxoRXMK6mJlK9KiXN+cu/qerv/UzjeByCLEF29ZnbWUferl56PwdjwjJmVoUQghHSgSXEEI4qRzaWejymebS/b+wwJFavC7E0RLBJZxQZqIgTp+9/8A1Q6YQXK5bY6Sbhogt2LY+a1v70MufaPZuNU3yyv8Pil4KIYSwPiK4hBDCSWVSZ+EKly/d19wxd6d2mEO3eSK4hJPI9et8DI2AOKzg0t837KehYgu2rc/a2j50NoJp+fo8IYQQ1kcElxBCOKmswVloB/q9UwYOnrKweSK4hBPIQ+eb2zvt89Tt55shE1YOI7hMIrZg2/qsbe5DLz/QnLulU+a3nGsuJsolhBA2TgSXEEI4qazFWcDMHfSraahjtzkiuISTxn9qLp57ecemhjvxqwouk4kt2LY+a6v70Jm1XB71nOb283909bcQQgibIoJLCCEcAZcvXWju6Vso8dSZ5uzd9zTnL25Amlibs7DPdWtEXE2n7mjOPzTyFuvDF5vze3vN3rnbO+Hx3XSqOX37Xc3e3iplNqGgsZZ8HpS/Kwtu3n32zPWOWWtDe809Fy7tu1wTsNY6KD7TXLpwb7N399kFa1jc3pyTh/MXJ5iadnn/lD6yn9/3XH0cePdYdS4faS4eet2hTZ7TQGbb5Yioh1UEl0Viy8qPK962Pmvb+9CZaKZEuYQQwuaJ4BJCCIMY81joWUe545jsO6/3zTrIC9KpM7/Q3D/2DvAY1ukszN1Jl4beYeUQf7DHGT44nTpzZ3PfMqe/55yXpjN7zaWrf51njflsWSS4jDjuvlP/rpWEl3WfW/FQc/G+O/sFiYXplub2d93fXBp9UmPP6abmzNkPriC8bPKcxjAb8TDukcFjBZfJxRZsW5+1tX1o8UfN+duf0/n/Nk7tDCGE3SaCSwghDGICweXh32vOjXVg1/lY5bU6C/sO18VzzS0z+z84JP6h5oFztw4SpBanW5o7zj/Y70hOJrisOZ8tfYLLJxY/Vndhuqk5c+fvjHDmN3Fu+1y+1Nx/5zDxsS+Nc9wPcU6n72j2hgpIGz2nkcw8uWas8z1GcFmL2IJt67O2sg/tMiuyjf1/CCGEwxLBJYQQBnFIweX874wXWyqt67HKa3YW5hZtlJaGtE/h6F9Ni568MongsoF8tswLLj/y1jf3P1b3wDT0KSebOrf+NSrGpmGPu/30ftt9Ue//B6dBwucmz2k8c877yOklQwWXtYkt2LY+a+v60B5mpxWtMrUzhBDCykRwCSGEQRxGcLmxOX26G9ZtqsJ7ZtbYsN7DbzTnbr+ls12lcaH/g1m3szAXzi7d1uxd6jvC5ZnHmD6STp0529x9z4WeCI0Fa5i0aUGZHVpw2VA+W2btaDb12ZFjvW/BtJmDHg27uXO7/OBej3B0S3P7ub2edWCWtY2DplgsEkGurtUyu37K5UvNhXv61nbZTwcs8rq5c1qF2ekp4/uUQYLLgii+ySJ3tqrP2mfb8tPL7D7WYV8hhBAWEcElhBAGcRjBpZMOnJ6wIMJgHYsdrt1ZmC+zxdMY+hyLm5oz535vQFTG5f5pNgeW2bwwdvCiuZvM5xI7OnWmufP+ZWuzLLCjpdFSmzq3nrUpBkWQ9J/TsikSvSLIgWWHh5qLe3fMiE/LooQ2d06rcXin+0DBZd1iC7aqz9pn2/LTy7xtTpvHEEIIy4jgEkIIg5hAcFk6xaLD3FoL0ti7mgNYu7Pw2f1D3Hbd/heu+zAb9r6fxk2t6IlkODB0fgXBZaP5XCS4HBSpUvQ580sc7Y2d27ywM1hg6GsbN55tLvQabY+ANLQNtnymuXT+p2ZEl+GC4XrOaUXm6nZ8f7JUcFm2PtWoMj+AbeqzsG35WcBc3a1DwA8hhNBLBJcQQhjEYQWXMSH88wsdrjLIPpAjcRb6HP6+8x1/B35+gcmDnMqxgsum89lvR8PWYrlKzxoQ/ULAJs9t/ryG290Vm2qnOHmkcu80p6vMiQw3NbfufWJgGyxm139Z1I43dE4rMlcvKwg6CwWXAYuBH58pRUP7rKtsW34WMZfPNQj4IYQQeongEkIIgzis4DIuDHzecd0VwWWRqHG5efjiR5o9Due525vTq9zhH30Xf6zggk3ms8eORi942SOkLNzHps7tsJEnQ+g57xXv6s+1xd79bOKcVqWnHS593Hk/vYLL4MXARwqFi9iqPmufbcvPIj57oTl7Y3cfa7iehBBC6CWCSwghDOKQgstY53VuIL/rgssEzJ3POgSXCRicz3k7Wmltj03YUjHo3HrWO2nTogVmV2FeAFnZtuec1T7xdBPntCpj+q7FzAsu/enUmbc2d/UuBjx0KtwStq3P2rb8LOSI+roQQggRXEIIYRiHFFzG3lHehJN8JM7CCuHwy2ifKrPX7O3d1dw+9yjaLRJcVsrnbP7GP1mmZW5a0cTnucK59T/Rp5uuPIFpb+/e5sKSJwMtZNJznq2Hfhte+zmtzKz4tJodDRFcrk0dWjTN6LBRP9vWZx2bPnRCATKEEMIoIriEEMIgDie4jI5M2AnBpe+u/yrn4RG69+47qpz6/XT32fmn4fSmTQsuU+dzmKN/MPP2OL6epz63RY9rXpBOnWnO3r038wjsJcxFpUyZFtnJms9pZaax84MEl9l1WhYJUOMWYp5h2/qsY9OHThPlFEIIYTwRXEIIYRCHE1xGD253QnCZL7Nha9lcXUvEOiLX/XdsWrfgsu58zuZvVRtY5e72JupgwaOrD0ym6fzG8iiRubVkpk2Ly2+N57Qy6xdc+hfFXSRAHWI9l23rs7a2D52lZz8rrOMTQghhPBFcQghhEBFcxjNfDgct+nr50v3Nu3rXf1glrU9w2Uw+pxJcxtjupuuAsHO+ObfS8W5pbt97YP/seuix7SnT8naypnNalYmmVy0SXJY+gaj3EffSiuu5bFuftYV9aD89kTIRXEIIYSNEcAkhhEFEcBlNX5TBkifFXL50X3PH3BogByWRAXc3e3sfaS5evHvmfNYjuGwun1MJLsMjXDZfBx0evtic37t7pFCxIFriSAWXDlOe06qsUXAZ8rjnhTZ1+qea82Mjerasz9q6/CwkES4hhHBURHAJIYRBRHAZy/yjrZfs/+H7m7PLHP3Ttzfnav2QRYuOzp3PGgSXjeZzNn9TreGyYNHUI6mDRTzUXDx/z8C1YnqiJbbyMbiHPKeVWcHOe5gXXIaW6eXm4Qt39k5NG72eyzb1Wdi2/Cxk/vq10hPPQgghjCaCSwghDCKCyzj6FntcJBgsWOuBg3/+4vA7/aOd/bGO6KbzOY2jPC8+9O3nqOpgIO2TkBZHisw5j+t+MtMUjD2nlTlqwQWf3u8/X9T5b6WbmjPnfu8Q9nVUfdZVti0/Cxlz/QohhDAlEVxCCGEQEVxG0RcKv2jtgTnn2LbjHx87fzd4YsFl4/mct6NVnPD54/UsunlkdTAW66PszT9++sazzYXrDjM/jWp77+gPPadVmeaRwIcTXPZZGEE1IppnW/qsYtvys5BZG1jxEfMhhBBGE8ElhBAGEcFlOH13ZpcM8Occi1Wcgb5jTiy4bDyf83Y03uHqOV7fPjZ8bpcvXWjuMTXJU5BGn9Pl/ezeMRONM3ucgec9hLZsbmrOnH1Ps7d3T3P+Yr9ss/5zWpX5slhFfDq04LLPokdFP+r0nc2FA9aCadmWPqvYtvwsZGRfF0IIYTIiuIQQwiAiuAzjcvPwA++aX6NiWbTEXD5WcAZ6754fVGYjnZCN57NHcHnUTc2te58Y7nT1HK/X2d7YufUJC+OnScw5/z0Cx3y0zSqL0fZNtZrN7+bOaTV68rfCgqlTCC6LHxW9b5dD1nPZlj6r2Lb8LGIr1zQKIYSTQQSXEEIYRASXIfQ/keSAO7M9+Rh1B/7yg835O/rWwTiozA4ruKw7n32Cy34a6nj1Hm/B9I1NnlvPVIlxi6f2rAfS9+SW3kcSj1uMtjcioy8aY1PntCJz4tMK05WmEVz2Wfio6AFi4rb0WcW25WcRs/mcTMwLIYRwEBFcQghhEBFclvNQc/G+O3ufvnLgo2P71g8Z6BhfvnR/866Fj9wdK7gc4NRsPJ8LBBfpoEfqLhBAFooAGz23+TVF2uiTO+5rLh3oA36muXT+p2aeeLOo3i4veDrOLc3tew8cEOmyYF2VhaLAps5pReYEoZ51fA5gMsFln8WPHz/A5ralzyq2LT+99EQ4TSjmhRBCWE4ElxBCGEQElznap6zsLX/M7UHCQEvfegWSdTPe17NmxpXH69599kzv1IRH0kHTOnqc5FO3NuceWBTXsel8LhFc2nRLc/u537j+8cxtndzVIxTsp6WRMZs9t/npPldT++jpvkdOO95e/xN9lt6tX/R0HE7s2ebuvY80F69zZD/TXLpw78LzWha1srlzWoVZW59gytOh+qRFYth+Wraey9b0WVfZtvz0Mtu2JxbzQgghLCWCSwghDOJkCC6TphGOwsLFNA+VDnIsFokMnTQz9WKz+Zy1oxubM+fes+BJLwelg6NVNntuDzUPnLv1ALFmSBoQhbNwutPIdKA9b/CcRjMf5TB24dxpBRcsEsOWRAZtUZ/Vsm356WMuem282BZCCGF1IriEEMIgIrgMT/sO0+2/2nNHfxkLFoocmk6dac7e9/9s9mYiVpY7lUvusl9Ls0+K2WQ+ewSXvU+MP/7SqJ0uG66Dy5ea++88KEJmWbqlueP8g/u5HsBhjzXU8d3kOY1ldlrRyGkl0wsu+yx8VPSCqVtb1Wfts2356WO23rN+SwghbJQILiGEMIgILgcnTsJdzT0XLq3oMO47/Bc/2Jw907eg5qJkWs35q9NCPrt/Srdd//uBzsVBUQl95b6pfPYJLhb1dfy+9UVm04rC10brwBSeXx1wLt20qjO6yrH2z+1d9w9Yh6XLJs9pDLPTisat47IWwYW9LRL5+oTCbeuztq4PnWU2sinTiUIIYdNEcAkhhEFEcJlPV5yDvb29Zu+eCyOd0mVcWUdj0boGV9be2D/m+Yv7tTLD3OKgQ8LniQwf6V+34/Qdzd7c+iXFuvO5SHApFqwB0q4Zck/Puitj2HQdXD3e3nsWiD1la31roYzlgGOJ1Ll7Cpve5DkN4XDO93oEFyx+VPTcei7b1mdtbR9aHE5kCyGEcHgiuIQQQgghnARmp/AsW6A2HH9mxM9xjyoPIYQwBRFcQgghhBBOBLPRJFlAdXeZXRR8HYsxhxBCOIgILiGEEEIIJ4WZKJdEPewos08nGrlIcgghhGmI4BJCCCGEcGKYjXLJuh67x+x6PYluCSGEoyKCSwghhBDCSWI2ymXp49PDsWMmuiVRTCGEcHREcAkhhBBCOFFcbh6+cGdz+qpDniiXXWI2uiV1G0IIR0kElxBCCCGEk8blTzR7tz7yuOpEQewI10W3nGpOn71//tHtIYQQNkYElxBCCCGEE8jlB/eaW689NjjrfBx/ZtbnyWO/QwjhyIngEkIIIYRwIvlMc+n8Tz0ytSgO+rHmOgHt1K3NuQeyMk8IIRw1EVxCCCGEEE4sn24unH3R1SiXm5pb9z7RRHI5jqQeQwhhG4ngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIYQQQgghhBBCmJgILiGEEEIIIYQQQggTE8ElhBBCCCGEEEIIYWIiuIQQQgghhBBCCCFMTASXEEIIIYQQQgghhImJ4BJCCCGEEEIIIYQwMRFcQgghhBBCCCGEECYmgksIIYQQQgghhBDCxERwCSGEEEIIIYQQQpiYCC4hhBBCCCGEEEIIExPBJYQQQgghhBBCCGFiIriEEEIIIYQQQgghTEwElxBCCCGEEEIIIYSJieASQgghhBBCCCGEMDERXEIIIYQQQgghhBAmJoJLCCGEEEIIIYQQwsREcAkhhBBCCCGEEEKYmAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMLERHAJIYQQQgghhBBCmJgILiGEEEIIIYQQQggTE8ElhBBCCCGEEEIIYWIiuIQQQgghhBBCCCFMTASXEEIIIYQQQgghhImJ4BJCCCGEEEIIIYQwMRFcQgghhBBCCCGEECYmgksIIYQQQgghhBDCxERwCSGEEEIIIYQQQpiYCC4hhBBCCCGEEEIIExPBJYQQQgghhBBCCGFiIriEEEIIIYQQQgghTEwElxBCCCGEEEIIIYSJieASQgghhBBCCCGEMDERXEIIIYQQQgghhBAmJoJLCCGEEEIIIYQQwsREcAkhhBBCCCGEEEKYmAguIYQQQgghhBBCCBMTwSWEEEIIIYQQQghhYiK4hBBCCCGEEEIIIUxMBJcQQgghhBBCCCGEiYngEkIIIYQQQgghhDAxEVxCCCGEEEIIIYQQJiaCSwghhBBCCCGEEMKkNM3/H9mYQjAW8HQ0AAAAAElFTkSuQmCC
''Demostración''
Se separa en dos casos, dependiendo que tan grande sean las medidas.
1. $$\forall \epsilon > 0\exists w\subseteq\Omega$$ tal que $$\mu(w) <\epsilon$$
Sea $$w_k$$ tales que $$0<\mu(w_k) < 2^{-k}$$, e $$r_n = \cup_{k \geq n} k_i$$ decrecientes con $$\mu(r_n)\to 0$$.
Consideremos $$1_{w_n}\in L^1(\Omega)$$ y $$u_n$$ su normalización.
Suponer que $$L^1$$ es reflexivo. Entonces, por [[Caracterización de reflexividad]] se tiene que $$\{u_n\}$$ de débil compacto.
En particular, existe $$n_k$$ tal que $$u_{n_k}\rightharpoonup u$$, reindexar $$u_n$$ para tomar estas.
Identificando $$(L^1)^*$$ como $$L^\infty$$, y tomando $$\phi = 1_{w_M}$$ se tiene:
\[
\langle \phi, u_n \rangle = \int \phi u_n \, d\mu = \int_{w_M} \frac{1_{w_n}}{\mu(w_n)}\, d\mu = 1
\]
Por otro lado, se tiene que $$u\in L^1(\Omega)$$ y acota a $$1_M u$$. Luego, por teorema de convergencia dominada se tiene que $$1_{w_M}u\to 0$$ cuando $$M\to \infty$$, es decir:
\[
\int_{w_M}u = \int 1_{w_M} u \to 0
\]
Pero esto contradice la parte anterior.
2. $$\exists \epsilon > 0$$ tal que $$\forall w\subseteq \Omega$$ de medida no nula, $$\mu(w) \geq \epsilon$$.
Que de nuevo se separa:
2.1 Si $$\Omega$$ tiene un número finito de conjuntos de medida positiva, se tiene que $$L^1$$ es de dimensión finita, por lo cual es único caso en que es reflexivo.
2.2 Si no es finito, existen $$w_n$$ (spdg disjuntos) tales que $$\mu(w_n)\geq \epsilon$$, tomando más aún spdg:
\[
\Omega = \bigcup_{n\in \N} w_n
\]
Luego, sea $$e_n$$ una subsucesión de $$\frac{1_{w_n}}{\mu(w_n)}\in L^1$$ que es débilmente convergente a $$e$$.
Considerar:
\[
\phi_M := 1_{\bigcup_{n\geq M} w_n}
\]
Luego:
\[
1 = \int \phi_M e_n \to \int e\phi_M = \int_{\bigcup_{n\geq M} w_n} e\, d\mu
\]
Pero como $$\mu(\bigcup_{n\geq M} w_n) \to 0$$ y $$e\in L^1$$ se tiene que:
\[
\int_{\bigcup_{n\geq M} w_n} e\, d\mu\to 0
\]
Lo cual es una contradicción.
''Hipótesis''
Sea $$1< p < \infty$$ y $$(\Omega, \sigma, \mu)$$ un espacio de medida con $$\mu$$ una medida $$\sigma$$-finita.
''Conclusión''
$$L^p(\Omega)$$ es [[Espacio reflexivo]]
''Demostración''
Se quiere demostrar que $$J: L^p(\Omega)\to L^p(\Omega)^{**}$$ es epiyectiva.
Considerar $$F_p: L^q(\Omega) \to L^p(\Omega)^{*}$$ dado por $$g\mapsto (f\mapsto \int gf d\mu)$$, que por el [[Teorema de representación de Riesz (medida)]] es una biyección e isometría.
Luego, se considera el Operador adjunto$$F_p^*$$ dado por:
\[
\langle F_p^*h, g\rangle = \langle g, F_pg\rangle
\]
Es también biyectivo porque ¿[[Operador biyectivo implica dual biyectivo]]?
Luego, considerar que:
\[
J(f)(l) = l(f) = F_p(F_p^{-1}(l))(f) = \int F_p^{-1}(l)f\,d\mu
\]
Tomando $$F_q: L^p(\Omega) \to L^q(\Omega)^{*}$$ dado por:
\[
\langle F_q(f), q) = \int fg\, d\mu
\]
Así, se puede escribir:
\[
J(f)(l) = F_q(f)(F_p^{-1}(l)) = \langle F_q(f), F_p^{-1}(l)\rangle =\langle (F_p^{-1})^*F_q(f), l\rangle
\]
Es decir, $$J = (F_p^{-1})^*\circ F_q$$ es biyectiva por ser composición de biyectivas.
''Nota''
[[L^1 no es reflexivo]]
''Proposición''
Para $$1\leq p <\infty$$ se cumple el título.
''Demostración''
[[Pendiente]]
Proposición es el título
''Demostración''
$$i\leftrightarrow j\implies \exists n, m\geq 0: p_{ij}^{(n)}>0, p_{ji}^{(m)}>0$$. Como $$i$$ es [[Estado aperiódico]], sea $$w$$ tal que $$\forall l\geq w: p_{ii}^{l}>0$$. Luego:
\[
p_{jj}^{(n+m+l)} \geq p_{ji}^{(m)}p_{ii}^{(l)}p_{ij}^{(n)} > 0
\]
Luego, $$\forall k\geq w+n+m: p_{jj}^{(k)}>0$$, es decir, $$j$$ es aperiódico. Esto concluye que esta es [[Propiedad de clase]].
!!Hipótesis
Sea $$X$$ un evn de dimensión infinita.
!!Conclusión
\[
\overline{S}^{\sigma(X, X^*)} = B(0, 1)
\]
!!Demostración
Primero, hay que ver que $$B(0, 1)$$ es cerrado en la [[Topología débil]]. Usando uno de los corolarios de [[Clase 02 Funcional: Espacio dual, corolarios de Hahn-Banach y versión geométrica]], se tiene que:
\[
\begin{aligned}
B(0, 1) &= \{x\in X: \Vert x\Vert \leq 1\}\\
&= \{x\in X: \max_{\Vert f\Vert \leq 1} |\langle f, x\rangle|\leq 1\}\\
&= \bigcap_{\Vert f\Vert \leq 1} \{x\in X: |\langle f, x\rangle|\leq 1\}\\
\end{aligned}
\]
Lo cual es una intersección arbitraria de $$\overline{S}^{\sigma(X, X^*)}$$ cerrados, por lo cual es cerrado, por lo cual falta la otra inclusión
Luego, como $$S\subseteq B(0, 1)$$, se tiene que $$\overline{S}^{\sigma(X, X^*)} \subseteq B(0, 1)$$
Ahora, sea $$x\in B(0, 1)$$, y $$V$$ una vecindad débil de $$x$$. Bastará demostrar que $$V\cap S\neq\varnothing$$ para concluir que $$x\in \overline{S}^{\sigma(X, X^*)}$$
Con la base de vecindades usual se tiene que:
\[
V_I = \{x\in X: |\langle f_i, x-x_0\rangle|\leq r_i\, \forall i\in I\}
\]
Con $$ N := \bigcap_{i\in I}\, \ker f_i$$, como [[El nucleo en un evn de dimensión infinita tiene dimensión infinita]] se puede tomar $$y\in N$$ con $$y\neq 0$$, tal que $$x = x_0 + y\in V_I$$.
Luego, se encontrará un escalar $$\lambda$$ tal que $$x_0+\lambda y \in S$$, pues ya se tiene que $$x_0+ \lambda y \in V$$.
Sin pérdida de generalidad, asumir que $$\Vert x_0\Vert < 1$$, pues el caso $$\Vert x_0\Vert = 1$$ ya cumple lo pedido pues $$x_0\in V\cap S$$.
Luego, para $$\lambda \to\infty$$ se tiene que $$\Vert x_0+\lambda y\Vert\to\infty$$. Luego, por continuidad del mapa $$\lambda \to \Vert x_0+\lambda y\Vert$$, se tiene que existe el escalar $$\lambda$$ deseado existe.
!!Hipótesis
Sea $$X$$ evn con $$E$$ convexo.
!!Conclusión
\[\overline E = \overline E^{\sigma(X, X^*)}\]
!!Demostración
$$\overline E\subseteq \overline E^{\sigma(X, X^*)}$$ es trivial pues la [[Topología débil]] es más gruesa que topología fuerte.
Luego, sea $$x\notin \overline E$$. Entonces, con [[Teorema de Hahn-Banach Geométrico Segunda Forma]] separando $$x$$ de $$\overline E$$, es decir, tenemos $$l\in X^*, \alpha\in\R$$ tales que:
\[
\forall y\in \overline E: l(x)<\alpha < l(y)
\]
Ahora, considerar el abierto que contiene a $$x, V = \{z\in X: |l(z)|<\alpha\}$$, que cumple que $$V\cap \overline E \neq\varnothing$$ por la propiedad dada, en particular, $$V\cap E = \varnothing$$.
Luego, por caracterización de la cerradura, se tiene que $$x\notin \overline E^{\sigma(X, X^*)}$$. Por contrarrecíproca, se tiene que $$\overline E^{\sigma(X, X^*)}\subseteq \overline E$$, de donde se concluye lo pedido.
''Proposición''
La [[Comunicación de estados]] es una relación de equivalencia
''Demostración''
Como lema, se ve que $$\to$$ es relación reflexiva y transitiva. Tomando $$n=0$$, se tiene que $$\P_i(X_0=i)=1>0$$, por lo cual es reflexiva.
Suponer que $$i\to j, j\to k$$, es decir, existen $$n, m$$ tales que $$p_{ij}^{(n)}>0, p_{jk}^{(m)}>0$$. Ahora, usando las [[Ecuaciones de Chapman-Kolmogorov]]. Entonces:
\[
\begin{aligned}
p_{ik}^{(n+m)} &= \sum_{l\in I} p_{il}^{(n)}p_{lk}^{(n)}\\
&\geq p_{ij}^{(n)}p_{jk}^{(m)}>0
\end{aligned}
\]
Es decir, $$i\to k$$, por lo que es transitiva.
De esto es obvio que $$\leftrightarrow$$ es una relación de equivalencia.
Proposición es el título
''Demostración''
[[Pendiente]]
Proposición es el enunciado.
''Demostración''
Sean $$S, T$$ [[Poliedro]]s. Entonces, considerar el poliedro:
\[
P = \{(x, y, z): z = x + y, x\in S, y\in T\}
\]
Entonces, se tiene que $$S+T = \text{proy}_z(P)$$, es decir,y como [[Proyección de poliedro es poliedro]], se concluye que $$S+T$$ es poliedro.
!!Hipótesis
Considerar $$X$$ un evn de dimensión infinita, dotada de su [[Topología débil]]
!!Conclusión
No existe una base de vecindades de 0 que sean conjuntos [[Acotado]]s.
!!Demostración
Hay que notar que $$V$$ la vecindad usual de $$0$$ no es acotada, pues si lo fuera, entonces existe $$f\in X^*, t>0$$ tales que \[tV\subseteq f^{-1}(-1, 1)\]
Así, sea $$x\in \bigcap \ker f_i$$ (las funciones que definen a $$V$$). En particular, $$\lambda x\in V\implies t\lambda x\in f^{-1}(-1, 1)$$, o sea, $$|f(t\lambda x)|<1 \forall \lambda\in\R$$.
Luego, tomando $$\lambda\to\infty$$, se nota que $$x\in \ker f$$. Del [[Lema de Farkas (en evn)]], se tiene que $$f = \sum \alpha_i f_i$$, es decir, $$f_i$$ es una base finita de $$X^*$$, por lo cual es de dimensión finita.
Así, $$X^{**}$$ también es de dimensión finita, pero como hay una isometría $$X^{**}\to X$$, se tiene que $$X$$ tiene dimensión finita, que contradice la hipótesis.
''Hipótesis''
Sea $$f:X\to\R$$ lineal continua con respecto a la [[Topología débil]]
''Conclusión''
\[f\in X^*\]
''Demostración''
Por continuidad, se tiene que $$f^{-1}(-1, 1)$$ es un abierto con respecto a la topología débil que contiene al 0, pues es la preimagen contínua de un abierto que contiene a 0.
Luego, se tiene que existen $$\{f_i\}\subseteq X^*$$ tales que $$V(\{f_i\})\subseteq f^{-1}(-1, 1)$$, pues esta es la base de vecindades.
Ahora, se nota que $$N:=\bigcap \ker(f_i)\subseteq V(\{f_i\})$$. Como $$N$$ es un espacio vectorial, se tiene que $$\lambda x \in N$$, es decir, se tiene que:
\[
|f(\lambda x)| < 1\implies |\lambda||f( x)| < 1
\]
Tomando $$\lambda\to\infty$$ se nota que debe darse que $$x\in\ker f$$. Por el [[Lema de Farkas (en evn)]], se tiene que $$f$$ es combinación lineal de los $$f_i.$$ Como $$f_i\in X^*$$, que es espacio vectorial, se tiene que $$f\in X^*$$
[[Mínimos cuadrados regularizados]] con $$p=1$$
\R 0 \mathbb{R}
\Q 0 \mathbb{Q}
\C 0 \mathbb{C}
\P 0 \mathbb{P}
\Z 0 \mathbb{Z}
\N 0 \mathbb{N}
\E 0 \mathbb{E}
\Pel 0 \mathcal{P}
\Rel 0 \mathcal{R}
\Fel 0 \mathcal{F}
\Lel 0 \mathcal{L}
\Nel 0 \mathcal{N}
\Cel 0 \mathcal{C}
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
''Hipótesis''
Sea $$X$$ completo, $$(X_n)_{n\in\N}$$ cerrados en $$X$$ con $$int(X_n)=\varnothing\forall n\in\N$$.
''Conclusión''
\[
int\left(\bigcup_{n\in\N} X_n\right) = \varnothing
\]
Exactamente uno de estos sistemas es factible:
*$$Ax\leq b$$
* $$y\geq 0, y^\top A = 0, y^\top b< 0$$
''Demostración'' Supongamos que ambos son factibles. Sean $$x, y$$ soluciones. Entonces:
\[
\begin{aligned}
Ax &\leq b\\
y^\top Ax &\leq y^\top b < 0\\
0 &<0
\end{aligned}
\]
Lo que es una contradicción.
Ahora, si $$Ax\leq b$$ es infactible, se aplica [[Eliminación Fourier-Motzkin]], donde se tiene $$YA=0, Y\geq 0$$. Entonces, $$0 = YAX \leq Yb$$ es infactible. Entonces, $$\exists k$$ tal que $$(Yb)_k<0$$, es decir, $$y^\top b<0$$ y $$y^\top b<0, y^\top A=0$$.
Sea $$X$$ un evn y $$\{F_1,\ldots, F_N\}$$ una familia de funcionales lineales sobre $$X$$ y otro funcional $$F$$.
LSSE:
# \[
\bigcap_{i=1}^N \ker(F_i)\subseteq \ker(F)
\]
# F es combinación lineal de los $$F_i$$
# \[\exists \gamma<\infty, |Fx|\leq\gamma\, \max_i\,|F_i x|\]
''Demostración''
$$2\implies 3$$:
\[
\begin{aligned}
|Fx| &= \left| \sum_{i= 1}^n \alpha_i F_i(x)\right|\\
&\leq \sum_{i= 1}^n \left|\alpha_i F_i(x)\right|\\
&\leq \max_i\, F_i(x)\sum_{i= 1}^n |\alpha_i | \\
\end{aligned}
\]
Por lo cual basta tomar $$\gamma =\sum |\alpha_i |$$
$$3\implies 1$$:
Sea $$x\in \bigcap\ker(F_i)$$, es decir, por la cota se tiene:
\[
|Fx| \leq \gamma \max_i |0| = 0\implies Fx = 0\implies x\in\ker F
\]
$$1\implies 2$$
''(Demostración de auxiliar)''
''Idea'': Queremos una función que contenga toda la información de los funcionales lineales de forma compacta
Sea $$G:X\to\R^{n+1}$$ como $$G(u) = (F(u), F_1(u),\ldots, F_n(u))^\top$$. Como
$$
\bigcap \ker(F_i)\subseteq \ker(F)
$$, se tiene que $$\vec{x} :=(1, 0,...,0)\notin Im(G)$$, pues cuando las coordenadas después de la primera se anulan, la primera se anula igual.
Es decir, $$Im(G)$$ es un convexo (por linealidad de G) disjunto al convexo compacto $$\{\vec{x}\}$$, y además, es cerrado dado que en $$\R^n$$ las funciones continuas son cerradas. Así, usando [[Hahn Banach en Subespacios]] se tiene que existe $$l\in\Lel\Cel(\R^{n+1}, \R^N)$$ tal que $$l|_{\text{Im}(G)}=0$$ y $$l(x)<0.$$
Más aún, todas las funciones lineales en $$\R^n$$ son de la forma $$l(x) = \langle v, x\rangle$$ para algún $$v$$. Utilizando esta representación:
\[
\begin{aligned}
l(G(u)) &= v_0F(u) + \sum_{i=1}^n v_iF_i(u)\\
l(\vec{x}) &= v_0
\end{aligned}
\]
Por lo cual se tiene:
\[
\begin{aligned}
v_0F(u) + \sum_{i=1}^n v_iF_i(u) &= 0\\
v_0&\neq 0\\
\end{aligned}
\]
Despejando:
\[
F(u) = \sum_{i=1}^n \frac{-v_i}{v_0}F_i(u)
\]
Con $$\alpha_i = \frac{-v_i}{v_0}$$ se tiene lo pedido.
''(Demostración de cátedra)''
Se define $$G: X\to\R^n$$ como $$G(u) = G(u) = (F_1(u),\ldots, F_n(u))$$. La hipótesis es que para $$G(x)=0$$ se tiene $$F(x)=0$$.
Además se define $$L: G(X)\to\R$$ como $$L(F_1(u),\ldots, F_n(u)) = F(u)$$. Verificando que $$L$$ está bien definido, sean $$G(u)=G(w)$$, de forma que $$F_i(u)=F_i(w)$$, por lo cual $$F_i(u-w) = 0$$, de forma que $$G(u-w)=0$$. Por la hipótesis, $$F(u-w) = 0$$, lo cual implica $$F(u) = F(w)$$, es decir, $$L(G(u))=L(G(w))$$.
Así, se tiene que $$L$$ es lineal, por lo cual con el [[Teorema de Hahn-Banach Analítico]], se puede extender a $$\R^n$$ sin perder lineal continuidad. Luego, todas las funciones lineales de $$\R^n$$ son de la forma $$L(x) = \sum \alpha_i x_i $$. Luego:
\[
F(x) = L(G(x)) = L(F_1(x),\ldots, F_n(x)) = \sum_{i=1}^n \alpha_i F_i(x)
\]
!!__Hipótesis__
Sea $$a$$ [[Forma coerciva]] contínua y $$\phi\in H^*$$
!!__Conclusión__
Existe un único $$u\in H$$ tal que:
\[
\forall v\in H:\, a(u, v) = \langle \phi, u\rangle
\]
Si además $$a$$ es simétrico, entonces $$u$$ se caracteriza por:
\[
\frac{1}{2}a(u, u) - \langle\phi, u\rangle = \min_{v\in K}\, \frac{1}{2}a(v, v) - \langle \phi, v\rangle
\]
!!__Nota__
Esta es una generalización del [[Teorema de representación de Riesz]]
!!__Demostración__
[[Pendiente]]
!!__Hipótesis__
Sea $$E$$ un evn, $$M$$ un sev propio y cerrado, $$\epsilon > 0$$
!!__Conclusión__
Existe $$u\in E$$ tal que:
\[
\begin{aligned}
\Vert u\Vert &= 1\\
\text{dist}(u, M) &\geq 1-\epsilon
\end{aligned}
\]
!!__Demostración__
[[Pendiente]]
''Proposición''
En $$\ell^1(N)$$, una sucesión es fuertemente convergente sii es [[Débilmente convergente]]
''Demostración''
$$\implies$$ es directo pues [[Convergencia fuerte implica convergencia débil]]
Para $$\impliedby,$$ considerar $$x_n\rightharpoonup 0$$. Supongamos que $$\Vert x_n\Vert$$ no converge a $$0$$. Por esto, se puede considerar un $$\epsilon>0$$ tal que $$\Vert x_n\Vert>\epsilon$$.
Como $$x_n\in\ell^2$$, se tiene que existe un $$N_0$$ tal que:
\[
\sum_{j>N_0} |x_0(j)|<\epsilon
\]
Más aún, como $$x_n\rightharpoonup 0$$ se tiene que para todo $$y\in \ell^\infty, \sum_{i\in\N} x_k(i)y_i\to 0$$, por lo cual existe un $$M_0$$ tal que $$\sum_{i\in\N} x_{M_0}(i)y_i < \epsilon$$. Tomando $$y_i = \text{sgn}(x_{M_0}(i))$$ se tendrá que
\[
\sum_{j\in\N} |x_{M_0}(j)|< \epsilon
\]
Luego, se puede continuar esta construcción recursiva, encontrando $$(N_j, M_j)$$ tales que:
\[
\begin{aligned}
\sum_{i>N_j} |x_{M_{j-1}}(i)|&<\epsilon\\
\sum_{i\leq N_j} |x_{M_j}(i)|&< \epsilon
\end{aligned}
\]
Considerar entonces $$x_{M_j}$$, que es subsucesión de $$x_k$$, por lo cual converge débil a 0. Así:
\[
\begin{aligned}
\sum_{i\in\N} |x_{M_j}(i)| &\geq \left|\sum_{i\in\N} x_{M_j}(i)\right|\\
&= \left|\sum_{i\leq N_j} x_{M_j}(i) + \sum_{i =N_{j}+1}^{N_{j+1}-1}x_{M_j}(N_j) + \sum_{i > N_j+1} x_{M_j}(i)\right|\\
&= \left|\sum_{i\leq N_j} x_{M_j}(i) +x_{M_j}(N_j) + \sum_{i > N_j} x_{M_j}(i)\right|\\
\end{aligned}
\]
(Harto que escribir, [[Pendiente]])
''Hipótesis''
Sea $$X$$ un poset no vacío, con todas sus cadenas acotadas superiormente.
''Conclusión''
$$X$$ contiene un elemento maximal.
''Observación'' El famosamente equivalente al [[Axioma de Elección]].
Sea $$X:\Omega\to (E, \Sigma)$$ una [[Variable aleatoria]]. Su ley es la función:
\[
\begin{aligned}
\mu := \P\circ X^{-1}: \Sigma&\to [0, 1]\\
A &\mapsto \P(X\in A)
\end{aligned}
\]
Mide la independencia estadística de dos eventos $$A, B$$, y está dado por:
\[
I(A, B) = \frac{s(A, B)}{s(A)s(B)} = \frac{Nf_{11}}{f_{1+}f_{+1}}
\]
Cada número está dado en la [[Tabla de contingencia de regla]]. Se interpreta como:
\[
I(A, B) \begin{cases} = 1 &\text{ son independientes}\\
> 1 &\text{ tienen relación positiva}\\
< 1 &\text{ tienen relación negativa}\\
\end{cases}
\]
!!Hipótesis
Sea $$X$$ [[Cadena recurrente]], $$i$$ un estado
!!Conclusión
Se cumple casi seguramente que:
\[
\lim_{n\to\infty} \frac{N_n(i)}{n} = \frac{1}{\E_i(\tau_i)}
\]
Con $$N_n(i)$$ denotando el [[Número de visitas antes de n]] y $$\tau_i$$ el [[Tiempo de retorno discreto]]
!!Demostración
[[Pendiente]] del apunte.
!!__Hipótesis__
Sea $$(v_n)\subseteq H$$ sucesión en un [[Espacio de Hilbert]], tal que todos los elementos sean ortogonales, es decir:
\[
m\neq n\implies (v_n, v_m) = 0
\]
Que además cumpla que:
\[
\sum_{n\in \N}|v_n|^2<\infty
\]
!!__Conclusión__
$$S = \sum_{n\in \N}v_n$$ existe y cumple que $$|S|^2 = \sum_{n\in \N}|v_n|^2$$
!!__Demostración__
[[Pendiente]]
Se definen las líneas de $$P$$ como:
\[
\text{lin}(P) = \{r\in R^n: \forall x\in P, \forall \lambda\in R, x+\lambda r\in P\}
\]
''Nota:'' Es similar al [[Cono de recesión]], pero $$\lambda$$ podría ser negativo, es claro que $$\text{lin}(P) \subseteq \text{rec}(P)$$
!!__Hipótesis__
Sea $$F_I$$ [[Cara]] minimal dada por [[Teorema de caracterización de caras]]
!!__Conclusión__
\[
lin(F_I) = \ker(A_I) = \ker(A)
\]
Donde $$lin$$ son las [[Lineas]]
!!__Hipótesis__
Sea $$F$$ [[Cara]] de $$P$$
!!__Conclusión__
\[
lin(F) = lin(P)
\]
Donde $$lin$$ denota las [[Lineas]]
Sean $$i, j\in I$$. Decimos que $$i$$ lleva a $$j$$, denotado $$i\to j$$ si:
\[
\P_i(\exists n\geq 0: X_n=j)>0
\]
Dado una función $$f: I\times V\to V$$, se dice para $$x\in V$$ que $$f(\cdot, x)$$ es localmente integrable si existe una función $$m\in L_{\text{loc}}(I, \R_+)$$ que domina a $$f(\cdot, x)$$.
!!__Hipótesis__
Considerar los [[Puntos accesibles]] $$\text{Acc}(x_0, \cdot)$$. Sea $$\epsilon >0$$.
!!__Conclusión__
Existe $$\delta>0$$ tal que $$|T_1-T_2|<\delta$$ implica que:
\[
\max\{\sup_{y\in A}\, d(y, B), \sup_{y\in B}\, d(y, A)\} \leq \epsilon
\]
!!Hipótesis
Sea $$X:\Omega\to E$$ [[Variable aleatoria]] de [[Ley de v.a.]] $$\mu$$ y una medida $$\phi:E\to\R$$.
$$\phi$$ puede ser positiva o integrable.
!!Conclusión
\[
\E(\phi(X)) = \langle \mu, \phi\rangle = \int \phi(x) \, d\mu(x)
\]
Y más aún, $$f\in L^1\iff f(X)\in L^1$$
Además, si existe una [[Densidad de una v.a.]] de $$X$$, se tiene:
\[
\E(\phi(X)) = \int \phi(x) f_X(x)\, d\mu(x)
\]
Dada una medida de tendencia central $$m$$ y una constante $$b$$, una MAD es como:
\[
MAD_{m, b}(x) = b\cdot\text{mediana}(|x_i-m(x)|
\]
Usualmente $$m$$ es la mediana, en cuyo caso el valor $$b=1.482$$ permite que este sea un estimador insesgado de la varianza.
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
En el contexto de la ciencia de datos, uno necesita una cantidad masiva de datos para que las conclusiones logradas no sean puramente por azar - sin embargo, los algoritmos utilizados son muy costosos en función de la dimensionalidad, y más aún la alta dimensionalidad aumentará la dispersión de los datos, por lo cual pierden significado las medidas como densidad y distancia entre puntos (problemático para [[Clustering]] y detección de [[Outliers]]
Muy pocas dimensiones causan sesgos, y muchas dimensiones toma mucho tiempo.
Considerar el problema primal que minimiza $$c^\top x$$ en $$P(A, b)$$, y $$Q \subseteq [m]$$.
El master problem de $$Q$$ es minimizar $$c_Q^\top x_Q$$ en $$P(A_Q, b_Q)$$
Su [[Problema dual]] es:
\[
\begin{aligned}
\max\, y^\top b\\
\text{s.a. }\, A_Q^\top y \leq c_Q\\
c_Q - A_Q^\top y \geq 0
\end{aligned}
\]
Se dice matching a un conjunto de arcos $$M\subseteq E$$ donde no hay más de un arco incidente por vértice.
Se apellida maximal si no está contenido en un matching de mayor tamaño, y perfecto si cada vértices es alcanzada por un solo arco.
Dado $$\{x_i\}_{i\leq n}$$ [[Atributos]] numéricos, la matriz de covarianza $$C$$ está definida por $$C_{i, j} = Cov(x_i, x_j)$$, es decir, los pares de [[Covarianza]]
Sea $$G=(V, E)$$ un grafo. Su matriz de incidencia $$A\in\{0, 1\}^{V\times V}$$ está dada por:
\[
A_{i, j} = 1_{ij\in E}
\]
Sea $$Q$$ una [[Q-matriz]]. Su matriz de saltos asociada $$R$$ está dada por:
* Para $$i\neq j$$: \[
r_{ij} =1_{q_i>0}\frac{q_{ij}}{q_i}
\]
*\[
r_{ii} = 1_{q_i=0}
\]
!!__Hipótesis__
Sea $$R$$ una [[Matriz de saltos]]
!!__Conclusión__
$$R$$ es [[Matriz estocástica]]
Dado una [[Cadena de Markov]] $$X$$, a la matriz $$P = (p_{ij})_{i, j\in I}$$, dada por:
\[
p_{ij} =\P(X_1=j|X_0=i)
\]
Se le llama la matriz de transición de la cadena $$X$$, y a $$p_{ij}$$ se le llama la probabilidad de transición de $$i$$ a $$j$$.
Dado $$X\sim CM(P)$$, se define la matriz en $$n$$ pasos (denotada $$P^{(n)}$$) como tal:
\[
p_{ij}^{(n)} := \P_i(X_n=j)
\]
!!__Hipótesis__
Sea $$A\in\Z^{n\times n}$$ invertible
!!__Conclusión__
\[A^{-1}\in\Z^{n\times n}\iff|\det(A)| = 1\]
!!__Idea__
La importancia es pues si $$A$$ tiene inversa entera, entonces la solución de $$Ax = b$$ es entera cuando $$b$$ lo es.
En particular, este criterio srive para determinar que los [[Vértice]]s de un [[Poliedro]] sean enteros.
Una matriz $$P = (p_{ij})_{i, j\in I}$$ se dice estocástica si:
* $$\forall i, j\in I, p_{ij}\geq 0$$
* $$\sum_{j\in I} p_{ij}=1$$
Es decir, $$(p_{ij})_{j\in I}$$ es un vector de
probabilidad.
Diremos que $$A$$ es totalmente unimodular (TU) si toda submatriz cuadrada tiene determinante en $$\{-1, 0, 1\}$$.
Equivalentemente, por [[Matriz entera con inversa entera]], $$A$$ es TU si sus submatrices cuadradas o bien son no invertibles o su inversa es entera.
Decimos que $$A\in \Z^{m\times n}$$ una matriz. Se la dice unimodular (UNI) si toda submatriz cuadrada maximal tiene determinante en $$\{-1, 0, 1\}$$.
Equivalentemente, por [[Matriz entera con inversa entera]], $$A$$ es unimodular si sus submatrices cuadradas maximales o bien son no invertibles o su inversa es entera.
Sea $$\theta\in\Theta$$ un parámetro con distribución posterior $$p(\theta|D)$$ definida en todo $$\Theta$$,
entonces nos referimos a estimación puntal dada por
\[
\theta_{MAP} = \arg\max_\Theta\, p(\theta|D)
\]
como máximo a posteriori (MAP). Notar que es la moda de la distribución a posterior $$p(\theta|D)$$
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
Se dice que medidas finitas $$\mu_n$$ convergen débilmente a $$\mu$$ si para cada $$f$$ continua y acotada se tiene que:
\[
\langle \mu_n, f\rangle \to \langle \mu, f\rangle
\]
Esto es, cumple convergencia en la [[Topología débil-*]] de $$C_b$$
Puede referirse a:
* [[Medida invariante discreta]]
* [[Medida Q-invariante]]
Sea $$P$$ una [[Matriz estocástica]] y $$\mu$$ una medida en $$I$$, Se dice que $$\mu$$ es invariante para $$P$$ si:
\[
\mu P = \mu
\]
En esencia, es un vector propio por la izquierda por $$P$$, con valor propio $$1$$.
Se dice que una medida $$\mu$$ en $$I$$ es invariante para una [[Q-matriz]] $$Q$$ si:
\[
\mu Q = 0
\]
''Nota'': Esto está motivado para que se cumpla la [[Ecuación backward de Kolmogorov]]
!!__Hipótesis__
Sea $$v$$ una medida en un espacio métrico $$E$$
!!__Conclusión__
$$v$$ queda caracterizada por $$\langle v, f\rangle$$ para cada $$f$$ continua y acotada.
Considerar un espacio de medida $$(\Omega, \Fel, \mu)$$.
$$\mu$$ se dice $$\sigma$$-finita si existen $$\Omega_n\subseteq \Fel$$ tales que:
\[
\begin{aligned}
\Omega &= \bigcup_{n\in\N} \Omega_n\\
\mu(\Omega_n) &< \infty
\end{aligned}
\]
!!__Hipótesis__
Sea $$v$$ medida con signo en el e.m. $$E$$
!!__Conclusión__
La aplicación $$f\in C_b(E)\mapsto \langle v, f\rangle$$ es lineal continua.
Este algoritmo es para encontrar una solución un [[PC quasilineal]], determinando su existencia y unicidad:
# Elegir $$p_0 = (x_0, y_0, z_0) = (f(s_0), g(s_0), h(s_0))$$
# Para $$s$$ cercano a $$s_0$$, encontrar una [[Curva característica]] $$(x, y, z)$$ resolviendo el problema de Cauchy dado por las EDO características con condiciones iniciales: \[\begin{aligned}x^{(s)}(0) &= f(s) \\
y^{(s)}(0) &= g(s) \\
z^{(s)}(0) &= h(s)
\end{aligned}\]
# Al hacer esto para cada $$s$$, se pueden escribir las soluciones $$(x, y, z) = (X(t, s), Y(t, s), Z(t, s))$$.
# Si $$(f', g', h')(s_0)$$ no es proporcional a $$(a, b, c)(s_0)$$:
## Resolver el sistema $$x= X(t, s); y = Y(t, s)$$ para obtener $$z= T(x, y); s = S(x, y)$$.
## Retornar $$u(x, y) = Z(T(x, y), S(x, y))$$
# Si lo es:
## Si $$\Gamma$$ es característica, hay infinitas soluciones.
## Si no, no hay soluciones.
Dado un problema de optimización del tipo:
\[
\min_\theta\, \E(f(\theta, X)): \, X\sim \mu\text{ desconocida}
\]
Considerar $$\theta_0$$ una estimación de la solución, entonces al construir la sucesión:
\[
\theta_{n+1} = \theta_n - \beta_{n+1}\nabla_\theta f(\theta_n, x_{n+1})
\]
Se tiene que $$\theta_n\to \theta^*$$ un punto crítico por el [[Teorema de Robbins-Siegmund]]
''Idea'': Este resuelve un [[Programa lineal]]. Se trata de probar los [[Vértice]]s del [[Poliedro]] (sabiendo que uno es óptimo por [[Solución PL en poliedro puntiagudo]]). Por [[Caracterización SBF]], estos serán [[Solución básica factible]], que permitirá buscarlos en un orden conveniente.
Genéricamente, para un PL en [[Forma estándar]], notar que este debe estar dado por [[Poliedro puntiagudo]]. SPDG, las filas con l.i. (eliminando las que no).
Supongamos más aún que $$P$$ es factible y acotado. Considerar unas [[Columnas base]] $$B_0$$ con su $$x^0$$ SBF asociada.
Luego, se reescribe el primal como:
\[
\begin{aligned}
&\min\, c_{B_0}^\top x_{B_0}+ c_{N_0}^\top x_{N_0}\\
&\text{s.a. } A_{B_0}x_{B_0} + A_{N_0}x_{N_0} = b\\
&x\geq 0
\end{aligned}
\]
Luego, se quiere encontrar otra base $$B_1$$ tal que su SBF asociada $$x^1$$ tenga mejor valor que $$x^0$$, para iterar este proceso hasta llegar a $$x^\ell$$ que no pueda ser mejorado, que será el óptimo.
Una forma de hacer esto es a través del [[Holgura complementaria]], para lo cual se escribe el problema dual:
\[
\begin{aligned}
&\max\,y^\top c\\
&\text{s.a. } A_{B_0}^\top y\leq c_{B_0}\\
&A_{N_0}^\top y\leq c_{N_0}\\
\end{aligned}
\]
Luego, las variables $$x_{B_0}$$ son las únicas que podrían tener holgura ([[Golazo]]: Podemos asumir que en efecto, siempre la tendrán). Entonces, se tiene que $$A_{B_0}^\top y^0 = c_{B_0}$$.
Para ver que $$y^0$$ sea factible, se resuelve el [[Pricing problem]]. Si su solución es no negativa, entonces ya se llegó a un óptimo. De otra forma, sea $$i$$ su punto óptimo.
Así, se considera $$x_N^1 = \epsilon e_i$$. Luego, $$x_B^1$$ estará definido únicamente por factibilidad como $$x_B^1 = x_B^0 - A_B^{-1}A_N \epsilon e_i$$. Eligiendo $$\epsilon$$ de tamaño tal que todas las coordenadas sean no negativas ($$\epsilon$$ chico) pero al menos una sea nula (agrandando $$\epsilon$$).
La magia es que $$x^1$$ tiene mejor valor objetivo que $$x^0$$, y su base está dada por $$B_1 = B_0 + j - i$$.
Encontrar patrones interpretables por humanos que permitan describir los datos
Usar variables para predecir variables desconocidas o valores futuros de otras variables.
Medición cuantitiva bien definida con fines comparativos.
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
La fuente del material son los videos y slides de los profesores Bárbara Poblete, Felipe Bravo y Hernán Sarmiento.
La indexación que utilizo no es la misma del repositorio del curso. En particular, lo estructuro:
# Introducción
# [[Datos]]
# Exploración de datos
# [[Clasificación]]
# [[Clustering]]
# [[Regla de asociación]]
# Selección y reducción de atributos
# Modelos lineales y [[Red neuronal]]
Las clases son las siguientes:
<<toc-selective-expandable 'Minería de Datos'>>
Es similar al [[Criterio de mínimos cuadrados]], pero con el funcional de costo:
\[
J_\rho = \Vert Y-\tilde{X}\Vert_2^2 + \rho\Vert\theta\Vert_p^p
\]
Con $$p\geq 0$$ denotando cual norma $$l_p$$ se considerará para el parámetro. Además, $$\rho\geq 0$$ tiene el rol de balancear la importancia entre ajuste (primer término) y
regularidad de la solución (segundo término).
Esto además es equivalente al mismo problema de mínimos cuadrados, pero agregando una restricción del tipo:
\[
\Vert\theta\Vert_p^p = \tau
\]
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
Un programa se llama modelo de un [[Problema]] $$\Pel$$ si:
* Cada solución óptima del programa debe ser solución del problema original
* Al menos una solución óptima del problema original sea factible en el programa
El modelo se apellida exacto si además las soluciones factibles del problema original estén en correspondencia uno a uno con las
soluciones factibles del programa.
Dado un problema de [[Clasificación]], estos modelan directamente una función de los [[Atributos]] hacia las clases.
En particular, desde el punto de vista probabilista se hacen asignaciones del tipo:
\[
\P(C_k|x) = 1, \P(C_i|x) = 0
\]
Dado un problema de [[Clasificación]], se modelan dos objetos:
* La probabilidad condicional de clase $$\P(x|C_k)$$
* La probabilidad de clase $$\P(C_k)$$
Este modelo luego utiliza el teorema de Bayes para calcular $$\P(C_k|x)$$, que será una forma de asignarle una clase $$C_k$$ al dato $$x$$.
!!Hipótesis
Considerar un [[PC lineal]] donde $$x_0=0$$, $$B$$ es constante y $$r$$ es nulo. Sean además $$T_1 \leq T_2$$
!!Conclusión
\[
\text{Acc}(0, T_1) \subseteq \text{Acc}(0, T_2)
\]
Es la elección de un subconjunto del set de [[Datos]], a modo de realizar un análisis previo.
Es un [[Muestreo]] donde el subconjunto se elige aleatoriamente. Esto reduce la probabilidad de sesgos, pero puede resultar en muestras no representativas de la población, en particular no representa bien grupos minoritarios, que muchas veces son los que queremos estudiar.
Dado un subconjunto de [[Datos]], lo dividimos en poblaciones, y de cada uno de estos se realiza un [[Muestreo aleatorio]].
Si queremos entender más una población en particular, entonces se realiza oversampling, es decir, escoger más datos de esta población que de las otras.
!!Hipótesis
Sea $$E$$ un Banach reflexivo, y $$l\in E^*$$.
!!Conclusión
El siguiente problema
\[
\alpha = \max_{x\in B_E} \,\langle l, x\rangle
\]
Posee solución $$\bar x$$.
!!Demostración
\[
\begin{aligned}
\Vert l \Vert &= \sup_{x\in B_E} \langle l, x\rangle\\
&= \sup_{x^{**}\in B_{E^**}} \langle l, x\rangle\\
\end{aligned}
\]
Pero por [[Dualidad de la norma]] se tiene existe $$\bar x^{**}\in E^{**}$$ tal que $$\Vert\bar x^{**}\Vert = 1$$ y $$\Vert l\Vert = \langle x^{**}, l\rangle $$. Y usando la correspondencia entre $$E$$ y $$E^{**}$$, se toma al $$\bar x$$ correspondiente a $$\bar x^{**}$$, que por ser isometría, mantiene factibilidad y optimalidad.
Para una función $$f: (E, d)\to\R$$ Lipschitz y acotada, se define su norma Lipschitz como:
\[
\Vert f\Vert_{BL} := \sup_{x\in E}|f(x)| + \sup_{x\neq y} \frac{|f(x)-f(y)|}{d(x, y)}
\]
Dado una medida con signo $$\mu$$ en $$(E, d)$$, su norma de Lipschitz dual es su norma como [[Espacio dual]] de las funciones Lipschitz acotadas bajo la [[Norma Lipschitz]]
El número de visitas a $$i$$ es:
\[
N_i := \sum_{n\in\N} 1_{X_n=i}
\]
Sea $$X$$ [[Cadena de Markov]]. Se define el número de visitas a un estado $$i$$ antes de $$n$$ como:
\[
N_n(i) = \sum_{k=0}^{n-1}1_{X_k=i}
\]
Sea $$X$$ una [[Cadena de Markov]]. Se define para cada $$k\in I$$:
\[
\gamma_i^k = \E_k(N_{t_k}(i))
\]
Como el número de visitas a i antes de retornar a k
El orador debe definir un objetivo con la audiencia. ¿Qué quiere que pase con esa audiencia luego de escuchar la presentación? (Motivar, indignar, convencer...)
Dado un operador $$F\in \Lel\Cel(X, Y)$$, ambos espacios de Banach sobre $$\R$$, el operador adjunto $$F^*: Y^*\to X^*$$ a través de:
\[
\langle F^* y^*, x\rangle = \langle y^*, Fx\rangle
\]
Sea $$H$$ un [[Espacio de Hilbert]] y $$T:E\to E$$. El operador $$T^*: H\to H$$ dado por:
\[
(x, Ty) = (T^*x, y)
\]
Es decir, $$T^*x\in H$$ es la representación del operador $$y\mapsto (x, Ty)$$ dada por el [[Teorema de representación de Riesz]]
!!Hipótesis
Sea $$F^*$$ el [[Operador adjunto]] a $$F$$
!!Conclusión
\[
\Vert F^*\Vert =
\Vert F\Vert
\]
!!Demostración
\[
\begin{aligned}
\Vert F^* y^*\Vert &= \sup_{\Vert x\Vert\leq 1}\, \langle F^* y^*, x\rangle\\
&= \sup_{\Vert x\Vert\leq 1}\, \langle y^*, Fx\rangle\\
&\leq \sup_{\Vert x\Vert\leq 1}\, \Vert y^*\Vert\Vert Fx\Vert\\
&=\Vert y^*\Vert\Vert F\Vert\\
\end{aligned}
\]
Por lo cual se tiene que $$\Vert F^*\Vert\leq \Vert F\Vert$$.
De manera análoga:
\[
\begin{aligned}
\Vert F x\Vert &= \sup_{\Vert y^*\Vert \leq 1}\, \langle y^*, Fx\rangle\\
&= \sup_{\Vert y^*\Vert\leq 1}\, \langle F^* y^*, x\rangle\\
&\leq \sup_{\Vert y^*\Vert\leq 1}\, \Vert F^* y^*\Vert\Vert x\Vert\\
&=\Vert x\Vert\Vert F^*\Vert\\
\end{aligned}
\]
Y así, $$\Vert F\Vert\leq \Vert F^*\Vert$$.
Por lo cual se tiene la igualdad.
Sea $$T$$ un operador con [[Operador adjunto en Hilbert]] $$T^*$$. Se dirá autoadjunto si:
\[
T^* = T
\]
Corolario de: [[Relación núcleo imagen del operador adjunto]]
!!Hipótesis
Sean $$F, F^*$$ un operador y su [[Operador adjunto]]
!!Conclusión
$$F$$ es biyectivo implica que $$F^*$$ lo es.
!!Demostración
!!!$$\implies)$$
Si $$F$$ es lineal biyectivo, se tiene que existe $$F^{-1}$$. Luego, por [[Composición de operador adjunto]] se tiene:
\[
\begin{aligned}
F\circ F^{-1} &= Id_Y\\
(F\circ F^{-1})^* &= Id_Y^*\\
(F^{-1})^* \circ F^* &= Id_Y^*\\
\end{aligned}
\]
[[Ejercicio Pendiente]]: Demostrar que $$Id_Y^* = Id_{Y^*}$$
Análogamente, se tiene que:
\[
F^* \circ (F^{-1})^* = Id_{X}^*
\]
Por lo cual se concluye que $$(F^*)^{-1} = (F^{-1})^*$$, concluyendo que $$F^*$$ es biyectivo con la inversa dada.
Sean $$E, F$$ espacios de Banach. Diremos que $$T\in K(E, F)$$ si $$\overline{T(B(0, 1))}$$ es compacto en $$F$$.
!!__Hipótesis__
Sean $$T:E\to F$$ función entre dos espacios de Banach.
!!__Conclusión__
$$T$$ es [[Operador compacto]] ssi $$T^*$$ ([[Operador adjunto]]) lo es
!!__Demostración__
[[Pendiente]]
!!__Hipótesis__
Sea $$T$$ un operador tal que $$T(E)$$ es de dimensión finita
!!__Conclusión__
T es [[Operador compacto]]
!!__Nota__
Esto es muy útil al combinar con [[Espacio de compactos es cerrado en contínuas]], pues una secuencia de operadores de rango finitos convergentes es compacta.
!!__Demostración__
[[Pendiente]]
¿Cómo evaluar presentaciones orales? Si bien podemos identificar si una presentación fue plana, o acelerada, o los nervios de una persona; ninguno de estos comentarios ayudan al orador a mejorar.
Si no somos cuidadosos con la manera de verbalizar la retroalimentación, podemos generar rechazo, desinterés o incluso llegar a herir los sentimientos del orador - que puede estar en un lugar emocionalmente vulnerable por exponerse.
¿Qué observar en la comunicación para dar una retroalimentación constructiva?
Hay 3 aspectos que deben estar claros y resueltos tanto al momento de presentar, como al momento de retroalimentar:
* [[Audiencia]], [[Objetivo]], [[Identidad]]
* [[Comunicación no verbal]]
*Retroalimentación
Esta cápsula se enfoca en detallar el punto 1 de [[Oralidad 1: 3 aspectos a observar]].
Se usa como ejemplo la [[Escena de la corte de A Few Good Men|https://www.youtube.com/watch?v=2sLcfQKU_co]]
En este ejemplo, es claro que el abogado conoce bien la identidad de su [[Audiencia]] (el coronel). En particular, identificó:
* Identidad: Autoritario
* Profesión: Militar
* Opinión: Despreciativo
* Ética: Oculta secretos
Con este entendimiento, él logró construir una estrategia comunicativa efectiva específicamente para él.
Desde que comienza la conversación, el [[Objetivo]] del protagonista es obtener la admisión de responsabilidad del coronel sobre sus crímenes. Esto es particularmente complejo, pues sabe que el coronel lo desprecia - obviamente no puede preguntar directamente, necesita considerar esto en su estrategia.
La [[Identidad]] es un tema sensible, dado que se relaciona con preguntas personales:
* ¿Con qué característica me identifican cuando hablo?
* ¿Cómo quiero que me identifiquen cuando hablo?
Si bien la identidad es propia el orador, la segunda pregunta es importante - uno debe adecuar la identidad del discurso para que se alcance el objetivo con nuestra audiencia - no puede ser discorde a ninguno de estos dos.
Es difícil determinar exactamente el estado emocional de alguien solamente utilizando observaciones corporales - sin embargo, sí son útiles para establecer ciertos márgenes.
La [[Comunicación no verbal]] funciona en un contexto específico (el aquí, el ahora) - por lo cual no se puede evaluar sin tener en cuenta este contexto.
Los elementos de la dimensión corporal:
* Postura: Manera en que estructuramos nuestro esqueleto, como ver la posición de los hombros, el pecho, la columna, la columna, el cuello, los brazos, las piernas. ¿Logra una quietud corporal, o se balancea constantemente?
* Desplazamiento: Es el uso del espacio. ¿Se queda quieto en un punto? ¿Se desplaza con un objetivo comunicacional, o se pasea? ¿Que dimensiones usa? ¿Da pasos seguros y limpios?
* Foco: Lugar donde se dirige la mirada ¿A los ojos? ¿Le habla a los muros? ¿Hace contacto visual? ¿Cambie mucho el foco?
* Gestos: Movimientos al hablar ¿Muchos o muy pocos? ¿Cuán comprimido están los codos contra el tronco? ¿Cuándo utiliza gestos, están en relación con el contenido de la presentación?
Continuando en la [[Comunicación no verbal]], es importante recordar que la dimensión vocal funciona en un contexto específico, por lo cual no se puede usar un único elemento vocal.
Los principales elementos que nos permitirán escuchar activamente a un orador son:
* Respiración: Entrada/salida del aire de los pulmones - todos los otros elementos requieren aire, por lo que es extremadamente importante. Más aún, está fuertemente ligado con nuestro estado emocional.
* Volumen: Intensidad del sonido - una presentación oral debe ser audible. Considerar dos conceptos
** Intensidad: ¿Es lo suficientemente alto, demasiado alto? ¿Se ajusta bien al lugar?
** Variaciones: ¿Se utilizan como elementos expresivos diferenciadores?
* Velocidad: Rapidez con la que se habla ¿Habla a velocidad correcta?
* Articulación: Correcta pronunciación de consonantes o vocales. ¿Se omiten letras, o sílabas? ¿Se junta el final de una palabra con el inicio de la siguiente (relacionado con velocidad)?
* Entonaciones: Variaciones en el tono vocal asociados al contenido del discurso ¿Mantiene un único tono parejo? ¿Varía según el estado emocional, ó coherencia corportal?
* Flujo: Cantidad de palabras por frase, y pausas entre ellas. ¿Cada cuantas palabras se hace una pausa? ¿Las pausas que hace, tienen un sentido en el discurso?
Antes de comenzar las retroalimentaciones, se definen:
[[Afirmaciones]]
Cabe destacar que para determinar el valor de verdad de una afirmación, la descripción contituida por ella depende del observador. El otro elemento del que depende la veracidad de una afirmación es la escala que se utiliza para describirla.
Por otro lado, están los juicios: No se habla del mundo observado, sino que se habla de nuestra propia valoración del mundo. Por esto, no se les puede asignar un valor de verdad.
Sin embargo, sí se puede determinar si un juicio está o no fundado - las afirmaciones lo determinan.
"Hace calor en esta sala" es un juicio fundamentado en la afirmación "En esta sale la temperatura es de 25 º C". Notar que para distintos observadores pueden considerar verdadera o falsa esta frase, pues no es objetiva. La afirmación, por otra parte, es objetiva, pues la escala (ºC) lo respalda.
La retroalimentación se habla desde uno mismo, y dirigiéndose idealmente por nombre. La estructura de la retroalimentación es como tal:
# Apertura: Declarar que uno ofrece la interpretación de uno de lo que se pudo observar - que quede claro que se están compartiendo juicios fundados, no solamente afirmaciones
# Valorizar: Resaltar lo positivo
# Generar contexto: Hacer la gran pregunta ¿Cuál fue el [[Objetivo]] comunicacional sobre la [[Audiencia]] específica a la que iba dirigida la presentación?
# Exponer elementos observados: Describir, en forma de afirmación, los elementos de la [[Comunicación no verbal]] observados.
# Escuchar la perspectiva del otro: Dar la oportunidad al orador a que declare si le hace sentido lo que se le ha dicho hasta ahora
# Acciones: Indagar si se comprometería a tomar acciones futuras concretas que le permitan modificar los elementos con los que está disconforme Audiencia/ Objetivo, [[Identidad]]. Declaraciones de voluntad no necesariamente llevan a cambios concretos.
# Cierre: Recomendar las distintas ayudas concretas (Armadillo, A2IC, Biblioteca) que ofrece la facultad. Agradecer el haber escuchado.
Esto se basa en la TED Talk de Julian Treasure: https://www.youtube.com/watch?v=cSohjlYQI2A
Escuchar: Crear significado de los sonidos.
Escuchar es nuestro acceso al entendimiento, y es algo que con el tiempo se ha estado perdiendo - mucha cacofonía, y el mundo digital reemplaza muchas conversaciones.
Entonces, se plantean estos 5 ejercicios para escuchar más conscientemente.
* Silencio: 3 minutos al día de silencio permite reiniciar los oídos y calibrarse para escuchar lo despacio de nuevo. Si silencio absoluto no es posible, despacio está bien.
* Mixer: Preguntarse, donde sea ¿Cuántos canales de audio puedo escuchar? ¿Cuántos pájaros escucho? ¿Donde está lo que suena?
* Saborear: Disfrutar sonidos mundanos, encontrar el ritmo en el ruido
* Posición de escucha: Activo/Pasivo, reductivo/expensico, crítico/empático
* RASA: Receive, Appreciate, Summarise, Ask.
Esto se basa en el siguiente video de Youtube: https://www.youtube.com/watch?v=k8GvTgWtR7o
* Props: Empezar una presentación con un objeto físico en mano es una excelente manera de atrapar la atención
* Obtener interacción de audiencia desde el primer minuto. Utilizar humor y preguntas provocativas para esto.
* Debe conectarse con una narrativa, anécdotas. Una excelente manera es alternar entre un punto general e historias.
* Conclusión: Full Circle, si es que es posible, cuidado con ser cliché.
Esto se basa en la TED Talk de Julian Treasure: https://www.youtube.com/watch?v=eIho2S0ZahI
Estos son 7 de los pecados mortales al hablar
* Chisme: Hablar mal de alguien a su espalda - sabemos bien que la persona chismosa va a hacer chisme sobre nosotros
* Juicio: Es difícil escuchar a alguien si sabes que estás siendo juzgado
* Negatividad: Igual difícil de escuchar a alguien tan negativo
* Quejarse: Es misería viral
* Excusas: Lanzar culpa a otros, y no tomar responsabilidad por su acciones.
* Exageración: Pone a nuestro lenguaje de menos. Eventualmente se vuelve una mentira, y nadie quiere escuchar a alguien sabiendo que está mintiendo
* Dogmatismo: Confundir hechos con opiniones, ser bombardeado de opiniones como si fueran verdad.
4 pilares del habla: HAIL
* Honesty: Ser claro y verdadero
*Authenticity: Ser uno mismo, pararse en su propia verdad
*Integridad: Se tu palabra, hacer lo que uno dice, ser alguien en que la gente puede confiar
* Love: No romántico, sino desear el bien
Notar que estas son maneras de combatir los 7 pecados!
También tenemos herramientas que aumentan el poder de nuestro habla:
combinar con: [[Oralidad 4: Dimensión vocal]]
* Registro: Hablar desde el pecho da mayor peso.
* Timbre: Buscar ejercicios para mejorarlo
* Prosodia: El ritmo y metalenguaje que da expresividad
* Velocidad: Uno puede dar emoción hablando rápido, o ir más lento para enfatizar. Tono puede lograr lo mismo
* Silencio: Un silencio bien puesto puede ser muy poderoso, no llenar con muletillas
* Volumen: Un volumen alto constantemente es imponer el sonido de uno, lo cual no se busca.
Ejercicio antes de una charla:
Manos arriba, respirar profundo. Suspirar mientras se relajan los brazos.
Luego calentar los labios y lengua (ver videos)
Hacer sonido de sirena.
Son objetos con [[Atributos]] mucho distintos a la gran mayoría de los objetos del set.
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wvvGGgMRng/9OPNAQc17gfcZbQ67kBvbao5JYcz5O7gvPlMsO5Yzy5QVPFZod0z8xOeWeaE9YV7uNkToCqUOGkiTDBSENBw0Rs6Yh5iG0ATlRlDR6FBk8cFmDTgdAJexBpwPOA2a1fDQGTAQYfBvavxpwCmsbjQmhLW3NKrcL2sQ+Z2JBpEGzTojJw07DYZ1TBcdO2uQWYvGPNEJUXizNo3nbq2ZZk0mj8NaZBpsnhcDPHbnoWA2UCCxPOg0WYvH9Uh8fLx2jHT4JmCgE6ExptOgo2I50TGxFpX5IGZ7V3BSBgal1lZKwvNhYMaggVxvH8wDHSUdwqlTp3QZ0DizXKyzGzIworNkOROWF2tQeZ1MsMfWCG7H82SwZRVprOGmyGOwYBwua4xZW8n98N5jPplnGnnjbFnGrAHmPcJAjdvweNw389C6dWvtbKwtHWyNZlDEYIQBJNflNeNx+BvhNWDgzGvE8yZmJlLeJ2ydsD4PPDbHPLHMjahmOdOpsnsYxbc16GUAyTzTAZtzWblypXaKfDasrQwMjHi9eB6sNef15DWwBiaC8HNxJXSNLea9zmefrRgM/FnhZJ5fLuMzwSDNCEs+bwzcaX9oEwn3xVbEBg0a6JYO04pJm0z7cb1hIzw+12OQSZtIf8Dv9DEUS6xgs9o5HofBotWe83kx9pzQnvCZMwKFtsDA/dGe0y8RnjvtL32OtZKLdphBM22JVVTzmaXdtJYTK7boN9iTiefO5bSJtOdskTVY7YqV69lzBuLXs+dmn2zJ5LmylYw2hOfEMkxISLiqrFwJXdpBjt1lRa2pvOBf+gZeU9Nzi/CcGNizVc6sSxtLe25t2aIvZ7BOocn7g2XCFi3eY7x/mG8e1+yD9pL+k3k3cH1ne04Yo/A+MzB+YGsbKxyYF8JryXzTdluH3bAMKchZBmzRNT6Z9w9tcc2aNa+qGKDfYyU3RYux57w3mCfer1bRYu4Nih+2lHJ9+gzez7cTq9A150tYztZ7jL0aeP14//I3rsuKBV5n42N4z9HPUnRSxFnhfclzoaBlOfHeNteLeaBdYJmZ687985rRZrDixMAyou9jS6Xx17wOtAum1dLVvW1gPEch6zwZFfdnKrNYecH7nTEZY01ed2sFmRG6vH8NvI68jxjDstyYf+aJx2EFG3835cl1aA8oSFkpxTwxJuH6vG9ZUWAq+XkubBzhOTNvLCuWH8uBzwTtl2n4YflTQNP+mRnKmQ/e79bn6W5BhK5Q6uBDbJKBToROgDXyxBoQ0dEYg0RnQSdsRCEdKo2Lc604oRPmGDFr9006bz7w1iDEGWfDbaDBcDXmzGDyTJyFLvNv/d0KAwsadgZTBgZzNLIMuq4Ht6HRtTpqA/NAh2CMLJ0mDaMR+K5gPl2dO6F4pBF1Pn8GLwwkrAbeFTTSDMwYrFnLwno840BpbK1C1xlub/bBFmKWtfWasqKA5WKEpjM8TybmhTWfdAoGOmjnMbrMI49n1jfik46ElR+8p6wB663AgJVOx1SU0HHSibGG2rlGngEDgwg6dK5H+Jc123SIJigyMPDm+sw3g1DC4IzBEp2iEQeE52iuRUn3gCDcLAzoq1atWmJPGT5PtEUMnFlxY+5nChIG+QyMibH9hK0OfNZMEG9aVkpqeSTmvna+pzlsgPbcTJDk6p43NoYihEG5sefXez7om2i7WalqYDdV+i1XdpqY/TFApd1y7lJMWCnFsjKtQ6zEpI24no+4Xj5LsucU/bQZpjt5SfugDWQAzsq/6x2HuBK6ztsY288yoo1lJZ0pf4pH+hhes+tBQcOgvmXLlo79szKB5+PcWkYYD7Dy0FpxebP2vKRzZp4Zp7DS3ohk7os2l/erMzw3Vl7yvue2tMk8d7Z6Gj9jyoa+ic8G7b+pMGUXWO6bPZWs9tz5ebtZSjovlhHLisdytW/znPJ5YkWB8d3W55dY90/RyBZFa1mzHFh5beI26/YU9bQpriY1Y7zD59mIOYpMVnazfFzB/TIvJZ2vVeia8jfXkTGHM/yN9w3jTrNP2kA+99d7lsw9TlHLOMBqN7hPxoa8p/mcW7dnbMO8MAYm9PUUyuzt5QyfaZYbG4MInwkKcDaylITJV0nlU5oQoSuUOvjgmGRwFrrW34xBorFhjSbFmxG6dBx0gKZWnQbYPKBs1WRtM8eFmP3RKNCp0JmxNpWGxARYxBhw6/ENNG4UQNZxt9b1rMbfWeia9WisWJvIlk12q+F4CzooBhzW2f1Y48cabLbUMp803qZW08AgkWKF50gHSENHA0YxxPXpMGj4TC00x8SwhYWBCYMcBofGiZj8sYxNeTtDx8pWQNbqGsNPx0qnS5FlaqlLggKL52QNdsy1Mpj8lCR06QzYOsJAhufBllx2haJjtLZi0ElxewYLFL1sJbIGjzwurxe35b1gDXR4femonbtcMm90Igy2TWsqW9jpyHgdSoJlac6TNb+s6aczpANl2TGoYbBuJt/gOnRuPDcr5t7mvcLjmTwwIKCDta7PY5pryHPkNTO16byfeDwG79Z732zDY5htBeGn4ix0jc2wwmeKNorCgL9T5NDGU1Sa9Y1d4XcGZgxejQhmSw5bw3h/UwSxdcL5OSfO9zOPy8ofbmsCY6vd418ez2zP55U2xtoyQ+g/2HOD9p72nDacop022WrPGZTST/FZZ4UpW22cKxyZb3YZZvDK3i20Q7Tr9I20DXxeuQ/acUL/RjtFW8BgnpVcJr8Gq09yxmrPDbQH3B/Fhyn3kmwBRYe1ouB6OAtds0/mj+VPsc1yo3hnaywDe4p4tl4R2m8G5vSp3AdtntVmG1hhyUpC0xpNWH70+WZ4kIHXm5W/7NFjBCV9KG2pGd5yI1hGjD1YBuyVw27IvEfpdyiSTBnSj1l9MY9t4HVmOZqKbp4bYxxrHqzr0/+wbEzlrBG6vAetmG1cXT/ea8w3fQ3/Mp4yvsB6LCtWoev8LPO+M8usQtcqvHmd2SDBZ4n3Ms+XPfR4X1h7s7FChxUo1jjLYHrkuep9Z1ruzZwAfMYYA/A6ME+MD6y9oMj1fJ1V6Br47PLZZt55PnwuGeOxhZUVUIzXWEljnjvGEFa7YY7FSmc+4ywHDmliYmxB22a9dxnv8J5nvOgMnyn6cQp6wp56jK9cDdngfnhPmR6OfPYZ97DijHEi73trZT8x51BS+ZQmROgKpQ4+OCYZnIWuK2hI2dWCxtF0t6DYocgyjsrq2BmA0EiwNt1Ax8muNXREDHKMSGGXMqtRdob7pQGisTCCyvkc6CDMd2ehS+is6aRYu0wHy8CIQt2MceJvptWN58p80+GXK1dO1+KyizZFngnkGNjQqFL4MAigA+B+6CRoMGmQ6ZTM+BY6Mp47y6tKlSp6G4p3BojmuDxP6zkZuIy/0YnweKaWlNeNx7V203K1PWGZMH8UWgbnwMx8dyV0eR48Fp0Py43OgflnsMZzsQpdwuOwnDkhDlv9GUQyoDIBJo9F58LA2toqwooCBkbOQpfnz31wfbMPBtwsa04WciMYoNERsdaWwRwdKINh1vyzTHl/EO6T15BBk6m1NzDPDHKYD9NawG7JvM7WHgEGXgsG13S2dHaEASqvA8uW191cL/61JkH4OVyvRdcIAApFBqd8Tnlv07ZRqLgSGqzoY+8HPhusNCO0kxyPSjvISjwGbgw2aY9MxaDzvczvPD67AvK5ML7EwHw420EGpLTntHcGBtK02aaLKe047RJ9Ep9HCihjV5kXttYyn6wspW3jNnwGTVnQh/F3lge35zNK28LvtA88Ny43YpFlRXtOe0gfQf9Jm0h7bkRHSc8yl1ntuSlPBt/0T1Z7XhIUJMwfg3+D9VjGlhNXQpd55D4oinjNacuZf1ZAUGyyLKz7oN2i3WN5UxjyM2201Xaz8pblQd9qoA/mMVhWVuivWdHIa2iCfAoS+njaXuKq7AyMJdjtlvumD+L9ZEQLz4f5MKLR+D5TzsScG+8/XlveY4T2nL6bAsQZ5ocxEiuCzH1r7LnpFu8K5/NgufMe5P3P+5p/WflNSjpnq9A1vsfAczHbMd+8Roy/DLzPuR2PyQoNlhHLiz2R6J/NmGlCP8b8WJcR7p9CzRrvWaHf5LUz15l5Ypnw+tLv8jd+5j1jYqjr4apFl7aGzwefGe6P9zTL3sRatE0UkGZ95sX5XNgbhTaKdoCxJ8uBx+B9z33QbhhoH3mtWTlgfRaIeaaM0KW95fFNJSAx2/DaMW6gzTF2mOKc33nv8XrxeWMcYyoRrPa6tCNCVyh10GCZZLgZocsaPgoail0DAwsaHgYdxLpPOgDWopoaPvMb/3KMAp0af6MQoNGhsDRBhzM0GAxg6NidBZUrXAld1kZSQNHoMQAyIsOMSaOAN06by+kkaWxpkGjMKJDKly/vCBxp7Olg6XxYK8saRtaMmhpa7pe1w841daYVgudLI0pHzc/GsLkycKbs6CBYpmZcjXE8zOeNoANj+RmH6gpzHGehyzzTsVAYmvNhoMEyYg0m1zX3ADEBBmtw2SrCMuN1ZuDNINp0IWRLEp3fjYQu88V7gOtzP6brpLlvGYAbzDlYocikc+T4PR6b+TNOiM6Tv5mx1ww26fB4bxPjNAm3oeNkpYepgWd50llZ82CFTpUOm2VI+FxwfQazJhAnzLc1CcLP4UZdlwm7bVrHJ9KmcQweKyD5fFvvQ35nywaDStoHK7QJfBZ5LLZGUghxvKJzQM5niYnPEYUpnwOr0OVzyXyaZ9PA4J0TDZlWJv7O/bMCjctY8WWeU9pd5oGBo7Ptpd9hPtmVkPtj+Rg7w3VpS2mPaMM5FIN5o13gX/odtrw4d3+m7eV4R4oX2kjac5YDy875PAymXI09NxV1tOc3022XMIhn+dGeGKzXy9hg4ix0CVu5aWdZFrTTJq8sS1YqszLalKnZF39j+dLmM3DnuVI4mTKhnWVvGNpOkxdjz0sSuhQWpnWY/pr5vJmKS3YDZeUKfRTzb47HzxQwtNMmnuA5spytYtScL68tfzPPAK8l/ZmrVjwegxWjvL9MxSVb9pln0y2VWK8DP1u/Ew4zYvlzG1aMsKXZjNW2XjcrVqFrrSC1wsYCCj0+o6bhgNeL58PKXX629kzj889n1dp6y/uYcQn9NrHmhxUYjJWsz6yB5cBKIfM8mfzx3uBx2UjAPPBeYM8Bkz9X50Fctejy/uUxWGnF3xlz8fm0Ji4z15ZxIJ8nMyaYx2J3bQpv3pfMm/HBZuIp3pMG2gDeR9Z7wTwTFLR8/kyPCuaNz4P1NVrm3DiOl/aG509MmdI+six5L/A8GZ/xuTP31t2CCF2h1MGHzyTDjYQuDQIDExpFGkcDHQdrs41R5D5NQEXDxhbA6wkrwoeexpmtp8bYu4LCgKKaE2jcCGehy/wbkWQw50+DRwPD3xjMlQSdPA0vy4gBCp2oaT24Xmu0wVrehMaY+2FgwKDhZievoCNihQMFOI9Nw11SQGWFzoZBLWsnrVjzZT47C10GzfzOIMAZBhW8d6xCtyRYXnQOLHPCFl123bPWEPNedBa6PD/mjdeQgZERxnRsdMps5bWWgTkPs4zdp1lm1hp9A/PPwIDBLaGT4T6tDo+Y68X8U6ybbljMA52YmcjNWp50ZCwb7su0DrP7Po/HZ0eErnCnuJHQZUDIgJ2BozUQZGUW7ba5v62wgod2lYLP4CxmaRf5LFAwW+05nx/aehPksYdIxYoVHc8kj11SRScr6RiEGj/DYQA8Bp97Z1hRxeeLvzn3yLDCiirz3PK4LB+2sNDOcTurPblZ6CNYplbxdiOMQKZNpODid6u4KAlWorI1jkE/cbYb1n04C12ux8Cavsf5OtMPsQKXgt8E9SXBwJ0+yNhz2mVWFlAom/Kjn2KFhLXrMn9jokimeDPDOliZwGvCeMDcr9ZzssJhR6yQMdsaWGHBfXA+DOPPaXNZmc5ngljLhiKvUqVKDr/InloUR2aGZ+u6vNcZK/A5MP6aIoVly7/meNZtzLn+XG5G6LKMeU+w/E35sTGB95XpyWXdjo0WjAmsQpcNAiw/xgsGsw3LiL3RzHNohT6WtsQ8z+aczbbmLyc0Y8unabl0dR7EldDlvUSR6lxp4ozZJ9ejvTL3J8uQzyZ7IxCWkckny4CilkONDBSovBdcVWKbln+eN+H1p701Y+55D5j7gPvmdeOzSltT0jlzH6x0d1UhU5oRoSuUOviQmWQwNanGABj4oDIgoiAxtbdWx0JRwMCfItgaVFC40FHQ6Vtr1V1NQsXggEKPjtXUDLuCNV88Ftd1DmDoYKxBEg0cAyNjwHkMOmUaMmt+eH4ULRUqVNDOy+Aqn3QuZkp64+Q4XovGnS2FrqAwoghmWRsh5QwDMhpfZ4ddEgxK2V2H5UuHZJ06/3rwXBkYMABwNcbGGtyxlYDC0HTLMa3z1tdmELZMMyhmuVrH+fCcncc0E46f4n4pZgnvN+dzp1NiVx4zuyvLjvli4v1n7bpMGPAwiDF5tWLuJ9Y2M59mnwY6Tjpd3lfm+tD5MVCgY7J28yY8lnkOTFDDfLHbE/fv3OWQtbu8P0yvBsKxTHzWWBFkrVixPpdMgvBzYCUVA3jnMZwUeOzuStvMFjEGcVZBw9YlBvPWXiaEFZYM+jg+n/ct71HaZBPMGWgn+YxSQFp7aph72qxP38HngM+/s93nOtZngy26FIN8XgnPgZVerJCybstnkb6I52UNWF31eKF9oi+hqDL5ZOsan3t27XQF7RrzxePQL1rLx8AKU6t4uxHs2cRyoOjg+Vi7nF4PlhGvobMoMVjFEMUH920VumwR53W2drUkFEsUMywXUxFHP8bkDEUL824qlCkMKJ6tLbL0wRRTzmN0WYaMK1he1koB7pP23wz5sWK1+6zMpt229toitLn0VRTr5h7itWC+eE7WClneR6yEpO22VgAzVnCVB9PV3OpH2CpLf8x1eT/wujCxjHmO/Gs+m+9WnL+XBOMW3iO8P52h7+L15HmwRdD4V0LfTR/k7B95XSjUKM7M/BSEwq2kBgXGHtyGNsB6P7BCi9eR96OpOGELaUkxACuTTB5ZJq5grwbuj63IpowY4/G6crmrGIb3KytLzD55z/G+Z+UX4fVmazLjIGv+uT6XsyHHajcYB1Iou2rd53PKe9/4fNMjhPmz3mPMM3vg8V41FYq8H13ZB95DvL6MDQw3e3/8mojQFUodfHBMMvABZMBPI84WLhpUCik6BjpS1sjSuBmBZxwgoTFhYMF12QpHkUmnQuNvnTyExoQOkPtnzRbX4/psIaVhtbYUlwSFJUUVgyM6GwZlNEIck2M11qwVp0G2GnzWltHgs6WBXa9oTHieNGw0ZtbWbNYisqWRraUM+OhU+TtbIIzDNuVnuvNR/LA2j4aP23C/NJ40gHR8FHUUyRRRFIwMRPk7a2C5f0NJht/AGmcGCAxi6VxcBVslwdkHWQHA82UZsbsWz4cBnzUgZgsA7wXjHCmCGbgyMGJgzPLjtaRoZhlyXauQZ9my6yDLkevSeTJ45LXjmBhTKcFuvWzJNy26LFNeM1Y8mFpblh3hb7wnef0YGJlggvckrxXvN+6b5c/rwHyZgIsBD+8Z5p9Oh61crJxgUMD7lve3NVhkflhOFOUMIKZOnaq7FZrKBebb2opvHD2DI+6X5cbWa+6XQa+1xZoig8sZdFoFBs/FmgTh58CAn3aZzxzvV9oeBvX8y2eFLSMUkMaWm/uO9yRtF3/nPcz9sJWHgRqT6VbHdfks8TnnREAM0mjTaCcYMBpRRftktWlWe0WRQL/DZ5Migvug4OA+2WJp4PEZAFrtOdeloOGzz+eZ3/ks007znPmZ8HxYQUXxTdtFu0L7zIpNBvnWsZjMJ20+7QTtOc+dtow2ktuzQov2l7aHv9Nu0q7xXGnTWV4sc2O7WEau7Ll1GW2ZsefM+808+8Ym0r/SHjHRnvO4tFeskLUKG4odiiDTokkYjNNPMzinH6bNZP5p0xms06caaFMpLmjPuQ/6ap43/TbH0xo7xooPVoaYYR+E14zCmWVuMPmnjaZ9pOgwyyhmee3oU3kM3lOm/K0TjLFXAe8dnjvvHfov5p/7o4/gPUBhY6DvozDhOfN+4bXl8emXWYnC627KnoKdzwnvdy5nHtjazzLk/q09FThfhilbc29zP+baO3+24vz9ejCO4HmxopV5Y3nQH/FZ5TWkT+HvzsKfvo/rs6z4HPB+ZwzC68vnjM+qNU6jH2d58HrTbvD5srYw8r6iv+czyzJnLEc/yufTzG5MWL7MI+9LToJl7i/eM6zMMJUWrp4PwjLmveQ8wzJbk5knClieD4/DREHMa8PP5l5i3nguRugSxpC8rlyX14z3AmMQ3gu8P4zdIIwpaQtcdaVnBRGvu7XSgxVKfI55j/HYvOdZBlyPcZCBIpnxAu9nHp/7oG1iXnldTJx9K/fHr4kIXaHUYQyv9SHiA00jxIecRpEGlMaExoNOnMbveg8dBSe3o4NlovF11b2FrVkMtmhk6ExpLPnAWw3pjWCLH2vzGWRwexp31sBanQ+NMUWk83henguPx2PTyDMooMOkAzcTYBC2XtAZcD0m05LL/dKZWR0aYTcWnhfLjOfGY7AMKZCM0WJwQGdJo8pjM3F9BntWwXMz0HFQdNNI3izMKx0AaykZQPDYNMjsHsTrbm1JYHBCJ2emzicMyNj6bcqcBpyGnYnXwzqujOXOY5jrzHOmAafxtwa6dIJ0IqwFNvckgyU6HVf3BK8XnZtz10IGAawp5j3BcuWx+NnaAs3ghYEq88/8MP8U9HR8DM5N/inCWU58Jni+XJfbUOjyvBiIMx+srbbmgTW0vGdYNjxvngPzas7NrMtAhEE2Ba8IXeFOQRvG55Liic83E20SA3faa/NKIBMUWuG9ze7CtHnGXvHeNiLXBO3s8WAmpOO6THyuWKlocLZtfP6tzw0rmJgvq02knTT543EoNmnjnVsuGWjzvPi8M1EQs6WVQovi28B80pfRJvD55F/mkxVw5nmz5on2nBW7zAvPjc8/bQTFNAN02giKP9oH5tmUEfdJe2JsnHWfVpyfb4oADgGifbxVaHd4bswjBQ8Ty8Ta04e2jGKaosyaJwoA5pnbMv+0j+yZw3Kl/TYVkqZMzTUyfpH3iLXlnb6OvpR212zL2IH5sY5hNfcPfS7XNz20zL1I4csKQ15THofH5HVjORGzHn0Wrwt/5zVgJTorSChgeL5mPVPePF8upz+nj2YlNe0+z9vaikboL3jOvAfMfc17ytqqTNgyyueM5c3j8H7ncZnMeZpk5UbfnWEFCyuW6FeYd14zliuFOuMAPu/WFlSTB8Iy4Tnyvmd5Mj7jOGH2dOK5mTjJ5JM+iufO33j+1ueZv1P4Mw+8JixLXgOrmCSM//jMch0e0/hm+k/rPVjSM8KeGhSCFIHO69A2sJLeHJ/3CfNJH83eGaYsWfHDCg8j5M09yeeY2zIxX8wT7wPe89ZuyswD40hrpZHZN+NQVnaZiUENFPu8DxkD8Hx5nWgTiLke7GHC47B8zb3LvNCWWm2s9W9pRoSuUOowxsw8sDcLnbdz0OL8ELLlytXYLmI9Hp0jnaIRgeRG+bEKJMJj0WA4Ox5XotF6vvzL4zp3lyM8H2OMCPfFljvTImfO1xrIWI/HGmTu2xhUg7Wc6NQZnHCf1jyZzzcDjSRbGynwrFxvH86/8TsrB4xhJc5lbLCWC50p8+48No+4KnsKZDofV92YrJj83Uw5lLQO7wUei8e0rmP9zBYsBg03A+9TBl3W63cjuA3vGVM+1m2t9xZxzqM1CXcPd/P1Yt6t9yg/m+/8y4Df2oOH9zCXW8+Zv9Pu8/kz97jZh7mfrfs1y6w2hDbR7MOK9TgG63PE32mPnLdzBY9Hu+/clZl2j8n5vIytttpF/m49Pm0+92n1ZeY8Cdd3Pgfn41DwsWWSx7oVnP0MBYCxbdY8WOFy599Y7rRZJflOAz/zXHlPOB/bFc72zrlcXPkb6/FY/jwfa7nwuM75ZN5p852x7st67JLO1cBjmLzxM9d3db438mklXQNrvgi/Oy9z5ka/W+G6zsfmd/oy3q/muXMu/5Lya3Ben/eNifd4TJapcz7pD/l88vqYMudxblR2rnC+Bry/WDHu3KBhYEUMW4U5jwax5o2fGSu4igOJ83lYcXUvOK9Pe8D7xhnn9YztsNovnpdZ73r3aWlBhK4g2Lme4ShN3MjY/xRux7mbfLGVlV0P2TLjKlC4W7lb7g9BsML7tqR79266p281r7eyPtel/bpV28rtSmMZ3o6ystpzdtNlqxLt+Z3wP1bMtbhZ7lT5/5z9OgvoX4ObyX9J67hafqfK+VYoDXm4XVDEsjcLW0p/Cs5lcbvK5laf7zttD24HInQFQbgtsNs3u7lwjAu7urBWndAAX88IlyXnJQilEeszZg1MXNX8C7dGWbVfVnvObqA328tEuHsQ3/vrwG7onHCKY2Otc48IdwYRuoIg3BY4bowzinLiDXbFMQH1jZypOFtB+OXg88Znk39NEgRnrPbcOpGfVI4Iws+D4485gRkrk35KF2nh1hChe5NIMCAIJcNxLgyef8p4DXm2BOHOYRW07HrKv+Y5LenZK2m5cG9wPXsu94YgCHcTInQtcLA1ay85sxln1ONsq5wple/ruhsGXAuCIAiCFQoTV+KEY8Q4M6jV3/Gv+DtBEAShrCBC1wK7EPCF7HyPFwMAvmOK02lzGm4zvbwgCIIg3E0YoWsdn8uKXb6Gg+/IZjKVvByPKf5OEARBKAuI0LVT0uywfGk5Hb+ZolwQBEEQ7iZMq67pulySv+M7rPkeTPF3giAIQllAhK6Cjp813SZZp4bni8zp+K3voBMEQRCEuwX6OPo14+OI8XP8zbBo0SK8//774u8EQRCEMoEIXTt09iaZQICsXLkSH374YYkvbRYEQRCE0o4RtFZha4XLlyxZonswidAVBEEQygIidF1gDQSM0D127Jh9yd3xgmRBEARBuBno84zQpb8ToSsIgiCUBUTousA4fbJ69WoRuoIgCEKZRYSuIAiCUBYRoVsCRsxS6H7wwQd6hkqDdQyvIAiCINzN0N8xLV26VOakEARBEMoMInRLQISuIAiCcC8gQlcQBEEoi4jQLQERuoIgCMK9gAhdQRAEoSwiQrcEROgKgiAI9wIidAVBEISyiAjdEhChKwiCINwLiNAVBEEQyiIidEtAhK4gCIJwLyBCVxAEQSiLiNAtARG6giAIwr0AXy0kQlcQBEEoa4jQLQEjdFeuXHmN0DW/CYIgCMLdjnmPrghdQRAEoSwhQrcEROgKgiAI9wJG6C5btkyEriAIglBmEKFbAnT6RISuIAiCUJYRoSsIgiCURUToloARuitWrBChKwiCIJRpROgKgiAIZQ0RunaMsDVcT+g6rysIgiAIdzslCV36PPF7giAIwt2GCN0SEKErCIIg3EuI0BUEQRDKEiJ0S0CEriAIgnAvIUJXEARBKEuI0LVgHLnVqS9fvlyEriAIglDmEaErCIIglCVE6Fowjtzq1EXoCoIgCPcCInQFQRCEsoQIXQvGkVuduiuhKwiCIAhlDfq7jz/+WISuIAiCUCYQoaswTtw4cutnEbqCIAjCvYAIXUEQBKEsIUJXYZy4ceTWzyJ0BUEQhHsBEbqCIAhCWUKErsI4cePIrZ9F6AqCIAj3AiJ0BUEQhLKECF2FceLGkVs/i9AVBEEQ7gVE6AqCIAhlCRG6CuPEjSO3fhahKwiCINwLiNAVBEEQyhIidBXGiRtHbv0sQlcQBEG4FxChKwiCIJQlROgqjBM3jtz6WYSuIAiCcC8gQlcQBEEoS4jQVRgnbhy59bMIXUEQBOFeQISuIAiCUJYQoaswTtw4cutnEbqCIAjCvYAIXUEQBKEsIULXjtWJi9AVBEEQ7jVE6AqCIAhlCRG6dpyduAhdQRAE4V5ChK4gCIJQlhCha0eEriAIgnAvI0JXEARBKEuI0LVTkhN3JXTF4QuCIAhlDRG6giAIQllChK4dEbqCIAjCvYwIXUEQBKEsIULXjghdQRAE4V5GhK4gCIJQlhCha0eEriAIgnAvI0JXEARBKEuI0LUjQlcQBEG4lxGhKwiCIJQlROjaEaErCIIg3MuI0BUEQRDKEiJ07YjQFQRBEO5lROgKgiAIZQkRunZE6AqCIAj3MiJ0BUEQhLKECF07InQFQRCEe5nrCV1BEARBuNsQoWtHhK4gCIJwLyNCVxAEQShLiNC1I0JXEARBuJcRoSsIgiCUJUTo2hGhKwiCINzLiNAVBEEQyhIidO2I0BUEQRDuZUToCoIgCGUJEbp2ROgKgiAI9zIidAVBEISyhAhdOyJ0r0+xPVk/lQZ4JUpPbgRBEO5eROjeJfByyCURBEG4ISJ07YjQvT4/ReiynEy6HVj3U1xcbNs3P9sWCYIgCD8DEbp3CbwcckkEQRBuiAhdOyU5chG6NpyF7i7176YCoFfeUXyfsRcdMg5hynbgolp+gatB/Xj5PC4XXVKrFzm2Lyk5MA7cVSq+jCL1t7CoGJeKoBPhTy72JAiCINwCInRdc06l7cqldcw/hW+nr4N/4maM36q9HE6rpLzcVclg9XFXeSflw3QyP9h93JXtC+1JYf+NyazuWCYIgiBcFxG6dkToXh+Hg7V/2qA8f5cJM/BYy0Fo9N8eaNpiKP4YEoGJERF2oVuEy8XnUFRYoMWu2b6k5MA4cOdkh0LXrG9ZrLhmT4IgCMItIELXNTsuKn83OhxNPcfo1Kz1ILwQNBGjp0dor2MVuTahasN4pWu80w2FrnUvCvvvZnXzXRAEQbg+InTtiNC9PsYBm3rmFqlHUdd3Our5xqNhYBKqqL81ApLQtPV4fJ9rk7rkAi6q9S+p/4rtybYfh8M2GMdtkpbLF9S6x3QqYlOx4qBKp/jBrFfE9Zgjs2dBEAThpyBC1zUtM0+gpvdU1A5JQjX/GNQLnIFaPtPwZEgYBm+64hev8Wt2zHKTzPoOP1asHBzTZfWrSqeKWFVs83V6PaI3vno9QRAE4fqI0LUjQvf6GBlpHPRrwxajgXL2NT2j0DgoBTWDknV6uO1EeETvRlGhzT1fYsuu/vvzhK5ZecWBc1iy+yQunjeiVh3n4ln11+xZEARB+CmI0HVNk/bxaBgcgxqBcagVnKBFLoVvY89RcE/a7vCL1/g1O6YnkklmfYe/cxKw7CpNobvh4Cms2Xf8imsToSsIgnBLiNC1I0L3+hgZyTFJTHWCklDFKwpVg3JQIyQXdQKzUdE9CY+4D8WHg7Nw6twRtZYqp8s2D12k/rO16xarpZe1sy9S5ahcOM6rtFmlpWrH45ccRNiqY9imVtijlh1SiU5/4jygRd/teLjfMjT4cR7eGZGLFLWcwcKV9mNBEAThpyJC1zWPhWahsW8SanokoZ5POhp4J6CJXzIe8wzHF+PXKc1JL6XKqEjFCZeUV6PfU4ner5Bu0F5+J1Wiv9ugUtYp5e8W7MXkxQexVTmxffbflYxF4ErgD0N34Jmu+XisQw7+OXguctVy+rrjVMDFyvOp/dOPXlfu8rD39qUTBOEeR4SuHRG618dZ6P4n6STKuYWjSkA2KvvPRA2/TNTyz0LDb/uiQ9Ze5M/Lxq69W9SaCi12L2uxS6Fr+8/mfxkeUOwOm70C/wjthVe8++ClNj/io8BeSN9wVDv+eVu34S+tMvDcf2LxoG8iKgWno5HvWLzcLw3b9h3VNd+CIAjCz0OErms+n34I9Txj0cA/E81CZ2uhS+H7iPsUtM86g7VrlmD3rk02kcsOxxahy2SgiGV35K7pu/DXDuF43asPXm7TAy06j0DGmiNaBC9YvxfVAmbp1Mg/GXXUcet9Mwx/65GJ9ftOaf+rha5KInQFQRCujwhdO6Vd6BqHVlK6BuPgTPqZOI5j31/SHuAfnUejtn+KTtWVQy7vHo33AgYibu1JvPtjAv4SHIaVe4/ZxtTaNlP7uKjTpeIr7n/ZinUo3yUSvwkcjwoh6SgXmIpqgWlo2DkPQ1S89eqo+SjvFa+XVQ2JRvXQGFQMzMb/to7DmIRZVwUS13Cbzl8QBKGsI0LXNfGbLuFt/2Go5ZeqU/OQNNT1ikWb7uORvu4oXvohBc19pmDJxt16/St+2XyypaPq39Q1+/E7/5n4rV8mHvKJQaWgJNTxS8QLvRchUqnYt0at05XHtdrlo5pvGhp0yEUF/wz8n1ssBsfl4Yzah+7LVHxWt/Bq4euM8Xvi/wRBuMcRoWtHhO71cRzHvr+N6s+E5YfxxI/ztdBt1Hk23pyyBymbz6P9pGw85zkGT7UZjtC+w7D99CVHFi4rB20VuhcuAiNHTdAi96FO03G/cvgPKNFcO3QmHnKPRVd1oCYdo1AjOAMVfRJRo10cKgVE4kHfdDzgk4YuI8J19+YSuU3nLwiCUNYRoesaDq1J2FyEZ3stRbOOeWgckIR3x25GyqpD6B6WiYd9w9DMezI69h6KoxxGq9a3+WXzSfc3xg71MWR4BO4LyEbFjnNRvX06qoakoJZ3POoFJGPwTigRnaKFbiW/LNQOztapvF86yvmkYmjCHN0DykahCF1BEIQbIELXTmkXujfCdJG64mAN1y75WThNgsHXLszdfhiB85UDXwS8OmIjaihBWkGJ33K+ifigtTfmbOJbd7kNR+cWqE8X9PhccvBQIbr3GIkaIbOUY89A3aAZqOUfgQb+qTr13Q08/H066nipZb7RqN0uEVUDolExKAO/aRONfqlzsE3th2N12XJ8leO/6jLd5nIQSjXFxcW4dOkSLl5kZ0H1bKjPXEb4/N7rgbsguKLUCF0e7nrJmHPn5XeI4iJ6l/NaZGav3oqAOcXwzrmA+p3yUM4jQbfI1vZJwAdtAjF7wx5Hfhxex96VecMZwF35u6pBFLIZaBaYplM932TU9IiD/xygWbtU1AtKQi2/eMfQoFrBabrHVMfwHGy175PDfuj36O8cxzFYy8SaBEEQ7jFE6NoRoXuT2IUuW2Q55patqaOTclCLQjQgFvWU067ll4xqoVl4wDseb33ZCgu2cZoN5uGK0DUlyMmZR42KRDnvFFQPztYil4mO/+H2OfhxC+A5pxC13KehoV+MFrnVgzlWNxm1u8zBxIXr0SthNhJzl+KQ8vgUukzXcpvLQSjVWJ/R06dPY9++fdi/f78WuyJyBcE1InRL4pwWu5wzYmhkEmq2DUMj5Yuq+qejil8aGgSm6PTmV22xdK+KFez5cXgdPU9FsRa6vn3Ha5FbJTALddpGo6FPIup4J6KuT5IWuu+M24iavnFa6NYMzVP+bhZqBNiGB43I2YBBGasQn5OLoxdt/oxVeY7jGKxlYk2CIAj3GCJ07ZQ6oWt1TiUl4vhspK4t3fB1PjfJle3MnuhWL+rXJRQUXta1ysu3HUNdt6lo7heLWu1yUdk/Ew1C41HFcyoCuw3EntPMIPdCocsJqbifK6ewctVOPO49CY95TcRDQbPwO79M/dqiBgGJyFu3HQeUGPYZFI+33XujsdcUNPen6B0H75yDaDkXuM99Jhp8NQYDl3Jv3LcZFcycFipprfLsKCfhXsA8oydPnsTnn3+Oxx9/HE888QQ2bdqklwuCcC2lRuiWQlgCp1XKWrUflVpNVcI0DjVCU1A5MB512+ehglcKvH8cgC2nlA+yO062tuoeRnRLhTZPOiMhFU1aDMaT3uNQ0TddV/JW8pmMav7hWLDlAjYfB9x6xuHVb5W/U36O6YWgyWifuQ//SStAOc8YNHAbgR8WssKY01ex8viKr9ZHMf6upCQIgnCPIELXzl0ndK3o7/SkV5JV6BaqFRwO8Ba5sp3Z9xWhyzRn1S4kzFqBFtGHtNil42ZtdTWvcNQPiUPmwrVYuuWA2oZ7uSJ0uW2hZbpkr7ideD44Avf7z0T50Fw81ilbd4VmYMHJNzjFx4TZ29E6YS++nL5Fi9wf11xGg66r8ZDXLDRrOQmvdM7AsaOc6Zlb2ShUx6LY1WWky0m4V1i7di2efPJJ/L//9/8cqWXLlvZfBUFwRoSua3j2BUWXkLJkJ6ZkLEXL1HNa7Fbyj0NFv1hU9c9ERe9UxOQvRebyTQ7HSZGrB09wB/bvTL7x2/By52jtL2uGzkbzH1P1K4X4Rni2Gm9UK0UuPIXXB2bi4ylLMXI9EJK2GzWC01AtMAVN3Efj9d7pOHuO01vRpzoOqZPD35WUBEEQ7hFE6NopdULXCWdHZvVXhdSf9gVFVvV4Sa3JrsZFalmx+tFscAuY4zkLXS6jWF298zS+cO8Ej9zTCFp8CcGD9uOLoKVoP3Yucrap8tu0Dcs2mlFF9gwwK+oruy0bCoqKsWbDRkzP34jEpbux6nixfq+gMyOUjv1k3Go82ytHv7C/gX866vmmoopvtE7puy9oUaz5Cecr3L0UqhvKjMMdNWoUmjRp4hC4//u//6v/vv/++/p3QRCupfQJXT7PxndcxqWL59QfOg7rcg5HKMKlIvom23q3HR5K7X7W5kP4pmM/9FoEdMkDgofvhu+gregwNAyx89Zh8YqlWLtpnSUbNr95Va7Uh/PKJa/dslP5u9WIX7IZGw+dxgGrIrYTuhB4bcgyvDtmBeorf1c+JB/lgvPwmNdovNI1BvsOGG9nO44pFZMcBy4pCYIglHFE6Nq5m4Qu9esl5ShvKhcUuXpcrfr8E7JtjmkcqRG63BXzcVJ9aN9rLBqGROKrlH0YNAOYnAX0j9mA7uErkJY3Dye5md6LPQP2vBRrTX4Zl4ts7xskrM0+ohLH/jKZSYUK1AlzD97JR1C3xRjUDYhELZ9paByYhWahOageEIvaIUmYdegyOPWVA/uxhLKNeSYPHjyIr7/+2iFw/+///s/x+Xe/+x3CwsL0eoIgXMuyZctKsdAl/EvH4byM3+kvlC9Rgvd257fonPJQ6rAslQ+9OuEJn3h8NGI9xilfNyEbCMtcjBExOVi4bDFOnT9ty5LOgs1vmrMw2bYttfU9OqYSey3pfkh8P+5lJYzt2ffNvYRqbmGo5zUFdT0na5FrhG6T1kOwgaJac/VxHMcz+SgpCYIglHFE6NopbULXOCrjEM13dm1i4oRLZ9UCjpFlWnIKmKcU4hb1hQ6T29gaTNWnogtalLra343gPiwNrw4HaROptmNtOngM73aOxLMtB6JO28l4ol0CWnYZiej523HyKGucr9qDDbUP6m/OZIli5eaLKXHV3kwM4zgzG+cLD6tNTmPtgdP40q8DanskoJ53CsqFpuL+gET8vu0QfNI7AZfOMkfciS3nuhyYX/XXcdUcH2zLrUm4e1m6dCmef/55h7Bl+p//+R/997nnnsP8+fPtawqC4AoK3X/961+lR+jaD0vvyxxRFO5TyzadKsSKA6ew+fQF/W5aZ+gBaPv19ioZv3djbuwJ1u3air93GI/fu/XGU63D8XjLMHwaMgDhc7fg4EH6O3VA+3HN3vgiICbH3vm7nctKmBdfUh6dLdVFKimxfrbAtsL6PUfweWtvVPEOR3W/SFQPStev2nv+2w74buAMHD5tXjZkztCWzHGuOp6rZNZwfL9JbnV9QRCEXwkRunbuNqFLkUuxe1z9nZ6aja+6T8a/QofBv98EpK3cjaPnLmLlpm0oPM+Jma6M4XHe342wyUUn1OmbIjimIgrmY6byt10StsA97ThC5xZh9ubT2M8VLqvcXroyOZSG25pEMcvftdDlmRm4VyaFWq8IJ1V+T+GQOt6M7AVXCd3feEXjVf+xSLqqrzO31dOAOLSzq/M1y0v6nfxqQZ7g4EbXYOTIkXj66ae1qGUrrrUlly1UmzfzTZi2/cj1FATXlEqhqxK9L0XutnPF6B8eDY9u/fGpTzt49+yHUQmpKLhwGdu27XFUwBo/Z/MxFuF7Q2zdoJ25eLlY+cHLykPZeh/NVW5rUO5utE88iZDYo0hYcUD7u4uFZ3Qy+TZ+xSp0OeTH4ZTUB1dC1+TglFo3MjUHNQJmoJpvBKr6p6KCdwLeDByAmQftK2nMGduSOa5JJj/XJLOG4/v1cdwHN7m+IAjCr40IXTslOfJfu+uys6MyQpetlAXKG7ZIOI4G3jGoFpCNKn5Z+p17FXzSMW7eAfROXouhM2aC/tAIVrM/Jr7LltqQI2h/yN+BT0el4E/9I/CvqbMQu78I7BTFbWxy0Ql7fq5k0DXWn+ngnbtc8zPdMoMIumizPpPZPfPJ33jOOhhQKX/zXnQYOh6tB8fi+6gFmL6uAGMXHkG7qbkYmr0ZGXuKsF2tbg5m9nUVaqE5lgkRnLEd3/ZZo8eB2fdkf0crv4t4+uVgd3YzFpfvyQ0NDXWIWmuqVq0aevToocfuWpFrJQiuMUL30CEOHLnCr/3MUPidUYb4qZFr8D9tp6G8XzoqBmSiqs80lGszESPn70SHqLkYEpGsh7yYSZ+M/adtP69MBrsIs0q1Y+5+vDckA68PTcEn0xdg894zdquu/i00dt1m6W3LlZcq1tMa6uTYsRVmkok/8YB2V0HdfJ5DcPQi2wv2WPXrqP7lAbid7UBXwXJnSpu/DZ0HhOM/PWIxIvcgknYBvdPXw2d0GsbN34OM3XAM2THDfKxJ58llUr9ak/0citRZFhQrNV/MUrSVR3HBBVsvLMv2/GpNgiAIpQ0RunZKcuSlVejy65wFK9A8KFmn6oE5qKpEbkXfTJTzTsMn30/BhAWH8GVgT6Qt2+Fw0GZ/FI/cx0aV2g6JxSMePdHM7UfU8eqFmh498GGfSUg6YvN72rGrlbWTY7LnRSezzI7dTzpw+hknTxfg1JkrgUShdqlFOghgMus7J/O7/lcJXdbuM6Dhy2JyVT7/0X48XvUZjL+oc3jLfyBe8+yOMXO3cQMHzK4z1+7/avjbVdvp9yGqJVTsF+wtzmqtXzsQvBfgWG0ra9aswYcffqhFLSebYvrtb3+rvzdq1AgzZsywrykIws1QWoUun/zseQtRLigR5YOTUME/A1WDs1EnOAYVPcPwac/JGJy7GZ95tcecTfuuFro01+rPBfX3oHI9nQfG4lGfEWjuOQS1PPqjgd9QfN9ntBa7WpWyVdWO8Q+2PVxy+FHbd3o6tVM6Rq5knB+TndMnzqLooq3sKHa5LbfkABstdO35s8KyNslwTO1/n9Kd9NdZ+4G/txuFF1p2c/i7170GYMycK12aTL5NchznmqR+tSbmXWXy4mX6Nn5RBUaxy9+s2LfnUmsSBEEobYjQtVOSIy9tk1Gx45SZuikyOhm1grJQ3T8dNfzjUd0vDpV9E1HFLwkNgxMQwBkbe6UiIPPAFQd9mc78jDoHm7sesvwSnvQYhRoBSTpVCZqN6qFzUMs/Fs/3XaAbMNmrihqD3cKunLs9RxaHx48cVcukv5iFKmWoP0HZu/H+yHl4b8QcdMvagXyVBbpSW822LZCw7/WaZPJvW0sFLVyoWK2S29AU1ApOQ83AVFTziVdlkaj+Juu0YsN2nQWDyVZJmP3jsjpxJl2rfQ4HVUb5xkJ21WZ+WdnA1oHLF3lf8Bfhl8CI3UmTJuG+++7TotaMwzXp9ddf112Vzb1aUKBDXkEQbkBpFbokLGw8KvrOQPVgZeP9UlEnSIndkDQ84B2LhztHw3feGfz7h2R0S9htM/Qq0aNor8K3DiiGLz+BZzz6oVy7FFTslIEKXmm6J1Qjj9HaN1EMc03bVjZPqy2OcUT2/bKXj+6hxMmv2NVYlQ8Th9YyZasUmLYL/xq+DP+duB4DNwGzuR+D+p3Or0jJ8cs2z6xhObsq60va2xRgsfr3o0GxSvAno0qHTFQOSEQl/wRU9lbffVKxYdtu7VNBoaqSybZJJv/XJG7EZF+RI3859pkjjpn0OopLRRdU/gqvxBOCIAilHBG6dkpy5KVV6NInUejSwTFV843VYrdqgPocmIKmHVIQsgR4s18W2s06dsUx2YUu90an5TZ1JZ7yHI2aynEyGaFbzSsSjdqngm9zMEKX6YojtueIH1XiNzp+7pnJ4TTtv789MAX13fqjQduRaOY9Hg9/0x2fD07FIRUVUDTyzJjse70mmfybwIO7566zVTz2QcfxWuRW9IxF444zVQCUov7O1ikhY7Ze1wq3Kwmua1tfHY1CV4vY81h36Bj6TAxD+97T4N91AiZEJWH3cf6m1iu2nYFw52FX5W7duukZlI2wNeNxK1asiJ49e+LIEc7bLQjCrVJ6hW4REhKiUKd9CmqFJmmRa4RuxcBkPN4tHj5zT+PjrknolXLAZuRVcghdfldi1ztiAZ5q21sL3d8FxushP5V9MvF4YBieCJqKY2c4Cpc+5/pC1/5HJdt//MkqdN/pl4ZmbYehaZtJ6u9kPBoUjr8Pn6vsl+kFpFAbUegW27sGX48i5SUv4xyiDwJ/7ToRv/OJRflg5ed+zEON0DQ06jQH9drNQnb+AtsGtyp0mYzPVmnt/iL0GZ8E/0ERcPtxHGZEJuLUSeaTw0asXbgFQRBKNyJ07ZR2oWu6Yl1Szo6JbN97AH/qHInHfcagTmA2qvtm4Cn/GDRqNQlvDl2D0LnAu75DkbbFVmesHZND6CqnXHAWbaetxiOth+J+v1SUD8pCg3ZTUS9kMpoEJ6NBQDxOFRbpsVHFl5SDYyq2ddO9kgp1sqtDhfpw8aQ6mHKKBQV6PFSvqGxU8FUiPCgV1YOzUDM0B/WDM1DDJxEDJsfqFlKrM3aVzCfz/bx+eTAQv6EA/wwZiUf8p+Dr6RswfgfQJf8s2mefx6jNwPzDqpz0mldwffVsJXRF6Kr9K4d+Wq18QOnYZ3rMRS0VXFRuMxnVvcJR2ycN7085hM3nLkOFVcJtxrmbMsnNzdXPIkWtcytu3bp1MW3aNPuaVzCvp/o1nllBuNsorUKX1nnDzv14rv00POY/AbX80lHZPQH1fCJR2zMcXr2WYULGZXwUMAB5OzkUxiJwTdaVYW85bQMe9ZyASsHpqBiUhspBk1Cr43Tc7xWJel2zcaaAk0bZ5oSwWSDbJ1ZlMl1ZrmyL2h8rd7l7SsDT6nD0zCPCpuBB/2koFxiJaoFpepbk+/3icZ9vHEZGTtd+3JEvk24Az59+L3Y/8JfgIXjiuwnwCd+BAcrHdVxQjC5zL2DoRnX9Dhbpibts1bNXMH7TJOfj20YOX9B527DzBGp9r/LrMxEPeMejgn8KKnlH4c0pO8De3fTpPG/uh1sxCYIglFZE6NopyZGXVqGrnaViyJrLeD5kCip7JKN2wEw87DENb/SYjcFK3f07bDe+6zkDO9V6NhmnsLTokl7zTuHhVkOUU87UiUK3fmgYanpG4i+DlkLpONux7B7SJm6vFrqs4dWengqxUMnWghO4fM4mxjlBhlvvsSjnHYfqrH33tYndugGpqOYZh3b9RmvHad99icl8Mt/1oVRaqg7zVY9p+GzSSvRfBzwVEI5m7mPRtM0UNHefit4xc7FEHYBXjK9YMg76WmwlxP0yge9CVCXN0xofmYKaXtGorQKVWj4RqBcYrb4n69Rt/DT93l/h9mIVpxcuXEB0dDSqVKmiRS1bcH/zm984RC5nVd6yZYte1xnuh8lMXiUIQsmUZqHLFJpzGE8ETlb+IxO1/TPQwHcGXuozBwlLgK/bz4ZXvwjsUOtdI3Tt6nTACuAR93EoF5CCKu2yUL1dGGq0D0eV4ES8HbXf7leuL3T16+q0k7iyeyMs6Su7DhhwjdB9KDAJv/GIQlDP7jYBahwNzRJ3cAN47lx9jvrnX32nIzTmAAbPA55oF4f6HpNRv9VoNPOchEHRs7BWhSq3KnQvXT6n9n9ev82hS+9RKv9TUKV9FCoFpamySUd1/3hU8Y3FiPAEWzmo9ehLRegKglDaEaFrpyRHXlomozKOvkDXul5QgbvNDdOZLd26Bd/HLYbX+AxMiknA3NXr0CttnZ6V8cxJvvSgQP1nc8JmP7atgZVqYesBM/C0ez880qK7EnPKOXtOxctdpiLKvGFCny4lH5Paki249PQqmRZdM251kVplqVpl2QWA0oMzN/+3+3RUapOogpOZqOsViyaBKagaPAvlfNLRYugM8MUv5jxLSrYcM7Hr1wXt9CnCScbMLEzaUITXQiegqcr7o/6ReNovEo97TcNfvgtFr+g8nFIbMPfsXmb2efVV5B7V+ah/ryy/jBz15c2eM3G/W4Ke8Ku8fzQqBsaiUsB0VFTBTPvuA3WOhDsDA243NzfdLdkIW046xb9s1Q0JCcH587aQjs+lc0swl5kkCML1KbVdlzkZkvI3tLXrd+xAr5yTaDNxJWat3ITsZRvgPzIC/RLyceo8R5daJzc8pxOFGdMmdRqeg6fg920H4ZmWfVDdezSqeIzAO92jEG3vmsMzNX7yykRN9h/siX/IDpWhncqHLlefV6rEit1vhozDg37RSkzHoYoSutWV0K0SMAsPeabDq3eEHvtqm4LRNtb1aovlGh7PPswYeTlLEL0HeK3dGDziNRFP+ofhUe8pOr3+XQjGzVzpEOZ68kSd+Nnm96zJLC8s0t+QoBz56z+mo5xvoq0lVwndigGpqNMxHw96JCG4ew/He/ovqk1MTCEIglBaEaFrpyRHXlqFru1df5e106FD4/zCG/TvwL7T57FW/eVrg1DM1ltbC7BxSkzc+uzFAnSPXYjwpQfhO2MJ3Cbn482xa/D+1C0YtbEY89U6V+BWJQtdls66/SfgMSYFb4cOwRteQ/Fdv0Rk7QP6pW7QIrd+0Cw08k9EYz3pVQ4e8k5D4NSZeuZkc54lJZtrZbIJXf7L2mfbb0CP7F14tu0APBEUrcUuhe6zAdF4y6MrPu0wGFsPHLPlnl1ZVeJ2V19FJ6HL81OfMtUh3+qVjYre6agdmodyfjO00K0cGKGFbsceg3VehNvP1q1bHbMqO6eaNWvqWZWtz6JpteWyXz0wF4S7kFIrdGmPiy45bO0qlViJSt9H37NWGXel/TRsjzXewghdcuLUOYSMi8X0JdvQKX49vhqchncmLcY/p63E9N22/ZmKUOMnSxK6ZPueUwjqH4/PfIbi9cBweE9aiaVq1a6J2dcI3epBuUoopqFX+BysUlr8pwhdPVqHmVNF4T9jEZ737I/HfSfjYc8JaOY+Ho/7hOEtt47wGzztloUu/5AktdFfOieiWmiWFrhszb3fk+eRhYe8ktFjxEhdmvSOzI4IXUEQSjsidO2U5Mh/baFLZ2JNDthdWCVKNhXW2xdecViLVFqqEttzmbi8UK3LllfuZ5rSv72UZ89ZdhDhycvx3aR56DHnEAKXA23zL+DdHumIUM6f4pDtZZcKLukxunRy3J5Okn8Lik7rbk+Jynm/8f1Y1PSKRS2O61FOnulfvVMwXanwr4ek4tlWvVHZZzbqhC7Ec990xBe9p2Hu/IVYtnKVcpiclsNWY89kztfhkB1LVI4uF+h3InKGTNbfU+x/Eb4WjTzGorFvBBooods8JAJNVfDxeuvO+CCwHzYeOKzPo7DoojoK3zN4dbk5MAe0J+57TEQyqraOQ10lzDm7czW/JNRS51bZMwIjpkwWofszcRamnHCK422bN2+uRa114immt956C6tXc75t1zjvTxCEm+OXFrpO5tbmqFQy32mzz6kF7C6s36OuJ/6jzLJxXDkBegXORpyn0l6V6O+0/Co8o+03G2rD9wF91UpjY3IxIWEOPGbMR0jqarTKOaD83VH8Y8hcTFYb2qo3+Q+PfMHhIS6pTxy9y/3RJ85T4cBn3aagpofyCz5Jytcl4HcekfhDQBRmKofQZmISXvD8Xr/yr16HuXi+ZSi+GTwV8xYtxtadu9QO1dmx768rSlhMmD+Wy7eTV+Np3ymo7z0FdT0norn3RDyqRO/LbX9Aq0GROKn2r4WulqHsjG3bzvbN/kUnWxzB31kBzPhg4GTl57xmoGFggs4/J+tq4peqfGsKVm48oM/fIEJXEITSjghdOyU58rtB6DraJ4tsNdkHj55Cm5j9+GDECviMzMCYvD1quS3Pu5SnHqic8B97zUNT5Zw9O4xAVOZa9Jx7GA2/7o4KHpNQ3n0i6n3eBxM32RwZnTuh2F2zfT9yFqzE3CVLsGO/kdCX4Ru7EI+16YaGQWmoF5CsRW7V0CQ89l1/BMxYh2S16nfDM1C33SJUD5iD7onLMfMgMDNnNi5cvHTLQpf5otPnVaH4Dpl9AvXdRqGZ/ww8GhKHhn5T8Gi7Gfhr265o0z8cO46f0o6fIpdQ5F5X6No5oVbhBBzNQmdroVsjIEXP7kyR+4/wnTh07ixOs8ZfuC2cPXsW7dq1c4ha61hcJj8/P5w6xXBMXUP7c1hYKKGWINwOSrPQpfW3CV1afxtctnHXAXwyejn+MWgeWvSZiOlL+UIc5UWKz2PDSaDHpET8sUMmng9KRkCP0Rgfn48uOZvRtGVXlG8zBJU8RqD2t8MQbobqOCjE3v37lI/KwZJ1K9RRzTSQwPBZ2/Hidz+gYUAaGviz5TMZFQMT8ZRHGDpnnkK28hne4Rmo0y4fDTstQGhEFiav3IPkjEyb1ylpsgj7+buCl+CCcl/0YJ1mHkfz1qPRwCdMi93H/cPwiM8k/KXN92gxYDoOn7ugxa6RttzllW/2LzrZ4gi2ZFPo0p9uU2VGkVvHO1q/fum+1vGo5xGPDyfu0SVvtbaO/QmCIJRSROjacXbk5jsd/68hdB1+SDlXpitCz7aUDsc4HZujsf2bqZzU210icb9nGv63VTyquYWjcovJCBiXhHlsdR2+GTU9ElDNI0Kn+m0j8GhAEvrPWYeQ2Nmo7D8NVQKm46NW3li995jeJ50g3wvYZsZsPWNyjZBs1PBORsPQbExZsQcr1W9vDV+KJkpkNgpJRcPgFNRsvwQV/eegUdtIvNQ1VznPYkTOXIiwyCSMD4vB6KnTEBYbj8PKz/I8GEAwOWru7cmUg03+8nUJtv900KOYpdIP885jwHrg2Q7RqO02CY28p6OOxzgtdv/m/gMm5G3SIpfHuXT5ok7ch5G6TA7YRU4LV7XUMt5z79ELGDlxBj4cvgDvDsxHn7AUbGMUprDlT/i57Nq1Sz9rVmFrUr169ZCQkGBf81p+iWdSEMoyfIbo7zi52+HDV6u+O/18Ge9m/Jr5ro1zMVtTbctxifaZdlv3z0Giyua73VJwv3sMHvKKR/W2UajhHo2g8GwsUS7xye4LUMUjVvm1majgk46aXuNRz38Kxq48Bd9p83G/x3jlp6big5YdsXz3lbZKdo3unLgbDwdnoal/Gmp2mI0mPRYjffNxbFT7fWOA8m2eU1A9cCZqBGXrOSeqheTiIZ8oPD9yNQ6fLsaSNTsQNTMfE+JSER6Xp9M+dQhW05nkcEDG0Vm7GvOrJfH8+fKgfnPPYOJO4PchMbpy9/HAcDTzmqDT779th2GzNujy4hsDOFEkXyPoKD8O71CJ0yzqqRYdx1NimC/Np4wuvoCNaoM+EUn4pttMfNc9B1OnzoauX2QeLS3RJm+CIAilFRG6JWAVuhwnePIk5wa28esIXdbj8q9tqQkIrha6hfAOX44nWg5QjjcX5Xwy0TgwAXW9o+E/JhF9kxejGYWqezwaBCWglk80GnnMQD236fhiaDjGrd6L+p0TUd5bBQIxqfauTzZH5p+8EI97/6hnTK4SmIFqngkqgIjH30P7IWH7aXwbfwA13CbqV/DUC0hEBb98nZp6RuPVXgtwSGWfYnf2vBXIzl+COctX4vjFSzihToctxrcidNkqy9IgnXJP4wklaDnr8vcLL+K9MatQp+1k1HIfixd7pmNQ8hI9fpn7tp0PBa5t6+sLXYVF6PITS3ihSuwmxyoAtmdzTY6dcp4ESXBNSc8Ox9vyFUEUtZxkykw4xfTKK69gyZIlej2Ow5UWXEG4/VxP6N5paD2ZjF8z37VxVkKXEw9qGUqhqydOKkLBxZNoM2kVnnIbjXLeCXosbH2/JNTxjofX+BSMX7oXDUOzUMsvWf02C5X81GfvCagfEIb/DErA0IWHUDloGh70nojJqUvtflShyqFb2gG8pIRjA+8kNA/KRJXgTFQMSMfnHQZi9u7z+C56Fxp4TEZV/0yH0OW8E+zJ9NyIVTinsnhMOZ2sJasRmZWHJWsP4rTKOn0dZ+m/SujydMwJF6tcMNnNJP8w0fuxm3aX9AN4xn0Mvp68Ht/nXsDfh+TrITtPKLH7ao809EhYhDVqA65Pn8dy4hwaNxS62ieqdEltVXRe+zb6OI57ZndwB8wrkx2TP0EQfhl+Cf1R1hChWwK/uNB18hjGn3BcLZPxLheVOCR0lrbX2tBBcVkhTp/Yh/f6Z+AJr9GoHpSuX21QXYlcps+zgK9zgTqeSoiqoKBWYIwtBSShul8Cnu28BF2UgvtX/yXwiTqIKavPoe2YbLiNysRc5ften7gYFdR+KyvHXtE3HTW8U1HTJw3NfUbCI3ETeszbgsc8uurxPEwPhibrF/I/1WY4+uSf0E5XByp2+Fk7YjrZS+qb7bS0g6VzXXLCjLVShcLfLULXCNTDJ47h3YG5aO4xTtdsfxOxUb9XMCT/EnxmncA4FavxHboUupySi4nlSKFr24f1OtrKl059iVLEaYeANeozj6wDBL0u1zHlbYO/cbywo2udcEOcKwW6deuGSpUqOYStNXl5eenXCznDZ9A8h9bPgiD8NPgM/dJC13g2kwzmO9ttmejrLH2q9L8H9h7Ci50T9Gt1agWkoE5QGqr6zVZ+KgufZ1zCW9MPoZZXtBK+sSjfOQXlOvEVfHGo5R+Lh3stRas5wLs/5CNgxhFMW38erUakwjNihZ59+bGBG3CfZwpqhWRpX1rdPx21grLwmlcf9E1fi7C8FXj5Cw/U9o1CLZ8ZqKxEcDklil9oMRBjF5zBRS0er1Coa28VRcp/FF7EBXVy9CQ8r63qw1albVniDitm/8AhR0z0M4dPncfbfXLQ1G0sGrQYi2+nbsXATUC7OWfgn658tso332DASSi5b5vQ5Y44J4WtPAuUR+N0liZ3fDMCJ4PcrzbYpxZSfJ9Qa7LXM9e37ekSowudzqh/z6rvzI9NONuTIAi/CM6xjol/5BWKJSNCtwTMzbR06dJSIXSLCm1yy7DqGLBgz1kc2LcDZ0/zhQWXtdD9e59UPOY+wiZylYOu5Revhe67MWe02G3gm6iFbr1Q9VclCt0a/ol4quMihB0HIpXS84s5jA+6huHpb7vp1GZ0Fp7sl+YQurXa5ep3GNYLzEKDNoPwWq94zFM5cJ/BICMN5T1T8f88puOBkCS0mbwMc9WJMFg5qRzpxYtKaKrvbF21jf2lI2VSTvboKUQtOoKgYakIGZuJgYkrcfLAPvULC+aK0DVs3r4Njd1G44V2M/DfqWvQY/ll9FgNhM4tQqvkvfgiaosWzXyvIo9Hx29ayI1gtnLsyCGETMrC27798FrgKLzTcRIychfYBTrzyGPbHL/OU3GRnhCLydESLZSIsyHev38/3n///atab9may78UvuPHj7eveQU+e9Z3496RZ1EQ7kH4LNHfUegeOWKrRr3T0CJYE9HPuHq2OWSGXo+Wf43yd4t2n8Xe/btw6KjtPUBHDx3HCx3i8IjPFFT1jncI3fIemfhX4ln8acw2LXJrekbhdyGxeLC98ntBCcofzsCjfZZjqHJAccq9tE84jY9+nIoXWvfAH4MmoPfco3ik/zrc75WKOu2y9Xtwawdno2ZgJv7o1g1uwxK0L+kbmY6a3hGo3CYMD3jE4yGvRLQdkYcVFjPHxmc2QjvQMzgXo0CZrfNq+fCURfDqPwX/Ce2LKbNX4/BRez8qmjWVjNDlLtdt3YVH3CfgT50S8PWUTeg467wWuaH5p/HZxBUIyT7mqNilh7LtyeavuD0ThS4Tl27fewR+45LwN9+e+NBtFD7znojZK5brMi9UK1DssjWY3Z+N0KXIFaErCKUDVzEQh4DFxsaiR48eyM3NtS+9txGhWwLmBvrFhK4d4zfYjYrJyDLjKw+qNCJ5CZ7rtxxVvOLwYnsl8sYvRebmg7oFtPW0ZXjCa7h+/115v2RU84tDZZ9ofNkrHFHrTqOx+tzENwblfKajRjvl+IMjUc17MnqG52DmxtN4Xjnux1tPUiI4GbUD41Gz1US0TjyCFoMz8ew3vfV7cPmKoCp+Skgrx9/QNwLvjlmFVQeOgdOXTMzfhj6xC9ExZjkG5+3BAeUNjyiva3sdkpKXPCldfPxuzgrg9CGt+0SiatsYNFAivUl7FWD4JOKrHkps7rS9hoHJto2t8/GGbdvRtmNPjE/Iwg+LCvHRuCV4tf9cvDN8KQLyTmOY2ilbaHeqxMCEjt8qdK2iebnaeesh6Ur0R6NOcBwe8olDOd94NPGOVAJaCXS1KoMHBwxC1AKH0FULbFN+CNfDiN3ExEQ0adLkGoHL9Oc//xnr16/X6xn4zDFxexG4gnD7Mf7ulxS6tKnarvJxZipU9kGlgiIlplRiReWU5XPxl96zUaftRPwxZAbe65ONzE0nsV2t/+WIOWjyZV+H0K0VmoJynpFwGxiHacuOoVmnTC1ua4fORFX/VFR3D0dVtzB0jViKiBVn0LDNNDT1nIFa/lmoE5iNJl4x8M8qxNdDZ+NZt6FozMmmfJJRyW8WKvrk4MW2/fDtkGScPsGcFWLG4rUYkZaL8RmLMC1vDU6eUuejnJN5z71G5dO5x8+K84DfqDhUD4hWeUvQryJ6yD8W7r1ikEu1StQ2F3FeJ4rKTXv3ok3XUUhfeQA/zLmAryevxV9HLcO/pm1Bz6XFmHEC+rWCbKXl+qf0WFpbCZuuyvzE/5apYv74x9Eo33Y6agUkKBE/ExXck/BEx1T0Z7MwUevYqpdZUX1JJ+OHacW1JechmK4sEQThDmLiIGf27NmDwYMH45lnnnHEUpzMc9YszmRzbyNCtwRKm9CluzqvAoCYRbvwd7cuuqtWw/Yz8YTPRDRpPQIfBf6AZceKEHsMeLnLNCXUEvAbt0iUd4/QYtd9eCJWKwfcfSXQ0GsGqgbHooISqbUCpuGlwXOwQanAcZmr0fzbsXiyzRTUb5eiU0OvCHwRsRs9krfiVe+RqO0RhYZ+CagRnIUKXkl4NDQeHRYBk1JnYteFYrD9dYGKkfpkbUXQtAUYPSMLy7efVM6f7aJKrNi1LWuKrUJ31MzNeMu9txa5dXyVyPZPQU3fJLzs9j0CxqY4yoOlc/LkUV1GdOa7VL57jglHzW+H6LFKTfwiUdd9Chr7h6GX0kqs+zctuuy6XJLQnbDoOF7xGIzaQbGo5jtDC90K/klooAKjF7pkqrJXYYK5OCqxYp7DeUXo3hzWZ2bQoEGoUKGCwxj/9re/dXz29va+pqtyQUGBHpdrnkmTBEG4ffCZor/797///asLXcL3vI/IS8cbPq2UXZ+Oht5T8azPFDzpPgFfdhqmK0cjdgKvtY9AdeUrKHYr+8Vqoes1PAXr1f5aZp3XXZXZBbm8VzwaK9H7+vAVWmgOTN2MOi0na7FLkdusywItdFspJxoUuQ6/dx+pRW49b7XvwDxU8J6J9zpP1sN6pkwYgvOn9+vX261X5mpc+kL0DEtGSupcHD9B+2T3bTwV9dG5onRoxkq83LIjagTGaLFbMTgBlUIS8fq33dFlfC4KaAJV/gtwTgtdFg1n99+p3GifsAw0bjkaD7cdj5peYajaZiLqtRyO7osv6dZc6lRubpt1mUctUv9eLXQH567Hnz1/0CK3TlASKnomo0ZAFup5TtNi95JuroUeG82PInQFoXTCGfL79++Pxo0bO+IoJvNaxtDQUPua9y4idEvAtBzdcaFr78pkHIVx/Fcciu0/OtQtKgtP9F2muyRzTFDVoExUC5mLSgG5eNV9APqn2apiD2zbhUGTEuH/wzC0HzQC07PzdYsmE8fgbDtWjKjYTJ2yc5Zqx0xmJLAFdxD+OWYe3FK2wid7H4IzNiIgbT02HgTGRs1Bwy7pqN85Fc07zcDro+fh+5m78PXYXLQaPhNKQ2OUio+e7ZGKRqEzUL7VSNRpPRCNvUYgIn2lPr46FZvnZHNoUZFynrZxsO+N3ot6Hqmo7h2LBiHpaOSVhiY+GXps1DP9VmOvWokdtFkmnE0yVUU5STsuYZ1Sr0Pi5uNF73F4qvUwVA7JQMWgNDQMTMHDHWbi6Olzeht9XCZdugxC7InXUqXQvALUUwFDNbVdOc8YNFSBRyMVeFRrn4/yATNxQnn+s9xBkcp88UUtbjnhiLlOIr6uxloWpvZx7969Ooi2GmOTateujcjISP0OXQO3o8A1ydpdWcpaEG4vxt/9kkLX4DDP9smRWCm5+3gBnhmwBpV9Ux3vc60YlIUHfFLwtntvjMvmaFRg3arl6DcmAqE9h6P9wAkIz1yoK1zZ+4k+Y96OY5gcMxsjJidj5tpNeiws/c7QKeGo9U1ffBG2FO3mnIJX+j50jFqh0xblKCenzsfj/Rahgm8smnSIwEuDsjFq5QWEJKyHx+TZemzrFLWzP/0Yqye4qthqOB5sFY7KntGYkj7bMaZYD2kpVke8fEH7QLq/j8auQVMlKmsq8d0wKEP3XuKkWTW8M/HSgE0630xcd/9ZIHY/EHcAmKuO13lqHl73HYXnv+ujJ35s2j4DzYKi8HBIDA4dOae7S/OQBbrPtM1DFaojMxm39/nkdajdYpSewIuzVVfyj0Ptjul4rFOWfq3QoQMsPYV+n7DKBXfoKgmCcFtxFdu4Wpafn49PP/0UDz300FWxFHvHmR5yHBbmagjYvYYI3RKg02fibK+lRehuPAY8N3gNqvil6JmPKXarBOVpsfuX1n3wbd84W9Wx+p8Ola2Y3I4hyynl3E4oDcFuxHTA9HeEvtBMYjt7vhK4SdvQa/Vl/LiqEEH5h9Fp9g6kqe3ocBduPIlvZ11Am3mX4T3nJLorXe0TtQqNvuqOcUvP6Nrkdycu1zNbNgiejvenrkO3Jefw1fSVSJm7VQtam8hVqVB9U8LFfH17+A7UbE1nn6jFrhG6VXxS8ZwKdraryIdjepdtOoDhk+P0pCBPfdEOnwT2w6iUpeiffxIveI5B+cBUVGmXhXq+iWgWmomla9brcmSZ2Byz3dObxGupUmDOWSXKx2uh+0HscXyXdgpfJBzBv1KL8e1cW2DE9zlqoavSlZZcWxLhdTVmZmQ+Q4RjRf7whz84jPH//d//Ocbmsqvy/Pnz9XpWWKbc3lnkCoJw++HzZYTu0aOUWb8cNu+nsAtdWue1Ow+jfqc8LXSrB+bYxG5INh5U3//a6ke06jmNWyh7zHGntlZMCmSmnWo39Hvs0UN/d0J9p//hTMJcTuuUuWgpWsxYgzE7gGnKvbdN3ol205cgVulnbrN012l4LwM+TTuLoMUX0FM5OIrcp90HKX+zS4+Hpcht5jMadXwnad/3XVYh3p26B+FZ+Tof9G1MNsfHylKbb/5g5EotdOv6p6C6ZxyqqcReTJXbpuCFvutxQBUG112z6ww69BmHp9oMxDMeQ/Bdr2mYuugghucfwpuBY9X2rJBNxeMd4tE8OBqLl1wZ8mF7C5DNz7E91ip02ybsQ323cajTcRb+nXIBbRcB70TuxbfJJ9FBnfPJ40amcwOVd+7LVRIE4Y7BeMfEP3zFKSsg+YaK//73v45YiomxlImnTEvuiy++qLsyS8wkQrdE6PSZjNA9pV8iZ+P23jjGxduScYxmiflEp7dXec4/98xCA4+JqOkbo2eQpPNnEPByq0H4ukeCzYOrHZxVvonpjPJT7H5kaoiPqM+H1O+sC9+oPvNVOQvVITaoKGCzWnfN3vNYvOUYPBP3443es/CXvsn4MmoNIlefRtY+oPXwTHzUdRpe6pGDx0Lj8eh3P+DL4al6LGzGhlNo5B6Oh32j0CpiB3oo5/le4ik8M2IdPhixGW3iTmO3OhEdQpmaYju9Zm3Es2274YHQHDzYjq+CyEYFn0w0cpuMf49Zo0uBWzTrkYuHvCP0qxz0uwsDE3B/23AMmX8U36du1uNqq4akoaF/Pur75mL2krnKvStDobaly+b0JrbE7mDcoy1Frz+DvwcNwVcZBfgs6TR+P2ARnvgxFy/8mIM3hy3DRrUxu0AXXjpt385+hex/BNewhdbaVdkYYfP5u+++w7FjDD9tzxWfOYP5ziTGWhDuLHzOfmmha8xnsZKhTDY5elGLwd2nLuGt77PxrEcEqrabjSqhyt53mIXygel42XMoeqdRairbfu649nHHldJlrnddvKyFLj+fVn+PKJ/DEbVb1Dpz1O7nKh/Jbs+050k7DiNu8378N3w93h+1GK8PmIdX+s1R/u4k5h4H3Een4MOu4/FSnzl4rGMqXvxiALyHzMFmlencPWfwZHAcmnlNR2jsDgyYcw7vTNqOV0euxRsDVuPLyGPYrvKkp87SszBfsW39c/bi9637695YVYPzlc/K0q8vevqL4fAbv06vs2XfaTzZZyGqKJ9Wp1MaqockoJx3GqoEZOOHWafRYtJqx6STjfxTdTfrNas36G016lxpNZlMxbeR3knL9uHzoP4IWAW0mlOMPw1ZjaYdZ+LxnvPx+vitWK7CHf3WA10Jz783SIIg3Dac4x3qjxEjRuCll15yxE9MbDCwfmd67rnnMGnSpF/8FXGlGRG6Fqw3F50+a1FKi9A9qQ55XImtD8Yu10KXM0dS7FZTTo9i9x3fsUjhLBRqvWLlXNmwS6FLR8+abrbs7j5/GaOicjExcQHStu2B19Ax+EvAELwcOBTfh6VhNUWoOkbXwWFo3HYCng6KQn2v4WjgPQJvePfXQjf3BOA1LldP+vSX3nnwi1wIpWf1RFRZm8+gfusp+G/YNnTOu4hngmLwkH+iCkyS0dQjHg/7JGHw1HTb+wO1Ire1+vH8Vqh//zs4Gr8Lmon/8U3FQ57pqBGSj49Hr0aW+m3fhUuImZWvBK4S98HxKO+b6RC6FX2j8eXQdIxffQFVglN1auCXh6e7rsaRgpMOkXs9ocuQKXHrRbRfCzzgNg1VPCNQwycadT3CUb3VRASNTsYmfUEu2rezXyH7H+Fa2FXZVc0j/1atWhUjR47Uz1hJ8DkzSRCEO0tpErrsP3VQOS6v6bvxSItJKOefgYf80rXI/a1nPP7RfjJmbKBdUD6k+DxOqc3OKgPPKjN2umV75Jrj5zBsfBqmxy3C7N2n0arXKPzZf6Dyd4PRP24B1ij1t1yZH99xEajbZgya+EzWczw09JqGv/n0R45SqCl7AbeRScqXZOL3PWfjh2kbtR+gUE7ffBgN2kzGdzN2Y8xK4K8dYpRPjkM1ryg09k5GHbcY/DA2RvtGm9ClB7JBOfppz1j8rm2a8mU5KOebjLpd5qDloEWYoXQu1x45JRaVvGNQOyQNlQNjUatDivJ1mXjQIwX/GbkIXXNO4v42UXqiLYrcF35ciAvnLfb0OkKX5bRUnV/ruZdRxT8GVTyibb2plL+u4BEFz4Fh2KSzrPKse52pz9dLgiDcNLS1N8PWrVt1nMTecPfdd981cZRJbDR499139brW3qeGez2GEqFrwXoz/GJC1+EobO7e9q/iMr2USpy9UaXLBcpVKWe5+egZDJocgZotR6B2q5F4pO1YPB8wDfOXrdQujKKWDo3OlfU5/MvbPk/98/WAJHzQPgaDZx53vEe3YmC+ThWUo2z0w3yMUOs9N2AW6gWM0ql6wAyd6rpPwIvdM3Ca70RQnFbxxeHTDEoKlfs+q6Ufnek3P4Zh3KxteHfAfDR3n4IGgdPQrH00mgTloK53GuoGJqKXUpXxauX+q5VwVvEUZ0VmYLJXnfjQiCwE9ByLzoOmITx9KRZtuYzcVWeRrpxyq+GzUdEzUb/moYFPOhr7Zymhb0vP9V8HtzygUftcVHRPwDNtOmLcatubeK9yxvYX8rOszCJTac1WgRd7z0ZN98mo3i5H17JX909FNb8UvBo0HsMW2gyIbc5nW8Bw1b7vcazGmzP9Pf3009cYY/7929/+hrlz59rXvHo7K0bkmiQIwp3jZoXunXgWaQGY7FZVWdgiXFT+jx5mfGQK6rUaj0bKLtf6ZiCeDJqKWcu2aJ/DqlJux1ZTJo6bZaXlrDPAfwdl4j/DIhG25SSadZqJGj6xeNA3XQnmTFRtnYTXh+7AtH3As37j9SuKmCoHpOr0cJsheLtXIs6qnTM/R48U4KLpgKROn8c9cLQIbr3HIn71Xnw8fBmatp6IJp4paOqdigcDc3C//0w8GpqKsUp5p6ltRitHN0fli/6Ow3D2qf31Gh8D727DEDw0CnFL9iBn6UnkrTyDVJWvz3snKt+ciGrt0lAlOFEnTkLJibdeGrgO70zcj8oe8ajhl4r3u0xFNCu6VeaKGSvQRanEaRfpoR2ofBTrSaoU6s9z3eahoV+SHh9cjxNBBqXp/T/rOw695qmYh5eafaD593pJEISbxgztIq7imw0bNqBz586oU6eOI37iuFvOonz//fdfFVN9/vnnSEtLs295Be6Tx2EyxygplXVE6FqwXnCKXCN0//Wvf/3qQlcLtIvntYg9qlYYtRvosQLoPvc8IpUjNT74WFEx1u3bj4xNu7BYiWKKXY4V6p+1A39yH4h0tV2niM3XCN3qwVn6XYBt8k6jRc6xa4RuQ+8peLJDLDZu3a0dP49HUX3p8hmVfY7/AY6rH1YpH5u59RL+3CUNTdtMQuPgSC12a3kmo4F/pha6H0bsR5vY7WjmNQEfdByPgImzsVoFDRw7xfCK43HZxZqyMiZnF4aFL8DQ/GP4qFssHmoThxoBGWjom4Gm7L6s9sn0ZO+VaDVLCdVB6/FB5AkkHyrW3bI1LF8ORj6vcqzfb6SCjMNHMHvOXCxcsBoXVMTEczqjHHrjwCg0UudrupJR5DI93ao/uiTrSELBK8QtVHJcP8EwbNgwxwQJ1tcGsRbyyy+/1O/PvRmshvi2PnOCIFxDaRG6nLypoPiCFroUs6fUDxOU8PNOPYpxu4Ao5RjYu4kVq1x/yeq1mLpgKeYdOo6N6rtaBd3SduFZt8GI3V+ENpPTdCsrfU+V0FxUCs5Bfd9sNA3OR6fsg/hs1JxrhO4j7kPxcucI7D12Svs2DU/b/oUNp/zKLr5Ry3bgxXaJWug+HqT2q4TuAwHZKBc8G/W9ohGYB7SI2oNn1Dp/bz8ZXeLXY486MZ4bfR4nvlqtzmkt3+ur/F2/sbMwYNYB+E5aiAoBCTqV84tG1dAkLUQresTg9VE78P064KUh6/FJ3BnkqX3YvJMqGPo4i7al2L1w+gx2btmKHVt3qDCC1QfAnu17tMjV79ZXIrd+cAbq8p3Bgalo8t0ABCTYJvsSoSsIdwbaXGNPKUiTkpJ0jNSoUaOr4ibz2SRO3tmxY0c9t0lJDQVcLkLXhghdC9YL/osJXQfG1duTfZIqs8Q4FApdCtcitZSLeBMT1mLnHAKeH7peTzDBmSKbds/H92lbsECt2CcyBmMysjFh/gZ83m2onr2SqUZAik512+egsm8yPpq4AV4ZJ5XTH6dT1QDlYFWq5TEBL/TIwIZdNudXXMTyKFBOlF15L+kaagYeo/YA7inb8WJPvpZhjHKgEajtF64cdAaq+6pj+aXjv0kX8cqk/ajgn4Hf+aXi//NOQvvpubo23naitvOZseEYHu++CLX80/BJ70iMXHwIf/8hHk+6DdPnV9EvHo/4RaC+2wT0GjdVBw3swsbghyKc+eEydtPiZ4ZuzP3YBXvxWPA0NPWdhCbBmXj2xwVIWH8a69SGTbtko4Z/vE7V/eJQ1ydGp+ZftkdorE0668tvTxT8ppLhXodjQjgLoDHG1vG4HKPbq1cv+5o3h9UQ35lnThAEw80I3Z/+LDo8mRNXL6ftZuIgniKqSnadVVCasXWV8OiccilpP/DiuL16Zvxqyh/QZrcNy0W+2iQwbBy6xkWi16zNeLPjaJTzSUf1dnmoHRqn/Nw0NGmfi7oBmfgsbJ9Oj3pP0qlyQKJOjb3H4c3Bs3Ds9DmdH2Pv9Rdl8FmBTA8YML8AXyftxcvK1zb2iMCjoYlo4BOpewLVos8LSsR3s4vw1rjtqNImWndT5rjcgLFZetywzXsUaZ8+PXsrHg6ehxqtU/HNsERE7yjCk+2i0MwvDFVDUnTL7qO+4WjiPhHR6fO15j6s8sNhSabnFntG6cpwldjCvU+l8EXr8eQP6WgSEovH2qXgpZ75iNh8GAvVDhqGZulJsKoG8S0Oah3ljxsrP/2s+2T0mn1e6+XTLHdz/iY5Ya6beX2RIAg3x/nz55GcnKx7jlpftcjEFlzr98cff1wL3F27WJ1ngxrAvK3CKnr52SRrHOUqlXVE6FqwXvDSJHT17In0OOova4HpyC4o11+gXJ25sRerH77uk4Jy3gmo2W6mdtYUgy/6DMMPmdsxb99BpK3fhB7xuWg9cNI1QpcTWnA253+MWok2yUevEbrV2ozFh1PW4vSlC+q4PKaSjpfPqizZnNrKfeex8dhl/LFHHHyz9uDdsQvQ0G+CFrlMFKvVfJJR1TsZPbYBzw3fooKPVDwUnIVK7WfjT21+wEwOriqkRC1GvvLafw8ZoLtl1Q5Mx0ue/dAhbhnC1bZvdIzEQ17RavsY1Gk5Fl+Fb8WWExdwWJUPt2bowDLaeuQMJuSs1mn67HXYoX5I3lmMNwMGoYnPRC12KXTr+iThvYCB+tUNb0/ZgSpeUVrkWoXu3zqMQgwHZil4+e2XRx+L6V5n5syZeOSRR1waZ77AnIbcwOfqZrAa4jvzzAmCYKAvodD95JNPflWhy71zeMgl9mjSQveytuv0ffzGFt+16u9XQ6Jwn2eKbqXl+2ApdJ9q2xPB8csQtXE1Ji9fiJ7Zm/Bhz6l6TodKgdm6d1KNwChUahOvBF4G/j15Dz6ZsvcaodvEZzxaJ7C6VYlslb2iQnVkZoxZVZlcc+Q05m7dg4ZB0xG44CL+Pni5fh8v30PbxD8atZVfo9it2yEdASuBZ7ov1O+Hp8it4DcL7wYMRTZncNRnVIyc1afxifJxdTwy0SQgH8+5/YhuaWvQUQnpxl6TcL/ySb9xC8eTgTPwz+GLsP2wrVu3crla6FJ45+89grEZKzBx5hpMyl2q3+8bv2433mgTjMbBylf6TENdj+lKiEfh1YAfkXW0GB9GHEaF1pHqnG0t2Q2Vj27gnYTX2sVjyiabb/upQldstiCUDCfhZO+3jz/+WI+/tfZ+c06vv/46xo0bd01vOIpcxlPWZ83Y6FtJZR0RuhasF/xOCV1KVy1fuQuVrjgIW3J2/Pykew7ZD8k/XO9ykfq32O58FWFzT+KttsNRLjAHFUNy8bB7Ip7yy8AnfTMwbMF58OUtYzcVYlreKoxOmYuGLSLxiEcCqgdy1uaZeLhNOJ5Rwm76ltPIUafaPe8svp2wEs+4DcVz7iPwz+DRWHzalh8j7hh82P4tQnhqPoaExeNxPyUK+8zD5K3AX79PRwPfeFRzm44aHlN0+i5iLdrNPoIHvNXy0Cw8EEChm4cXvYZi6IJjjvNrkQc86J6NpgFJOlX3VILTPwkBo2Zj+pLTCNtxHp1nrsa8LXuwT23AbWzlov5RjFPHf6evCoDclUhXjry8ZyKeG7QOY1SE9NnQeajrOVEJ8amoGRyhU3XvaLjlFGHWIeC7fjPwhza98GLbPnjN+0e84dsTkdHper96//oSFerErzyuuZ7XJINlGfdhatlsOzN/mUofzsbQ+fu0adNQrly5a4wzZwTk+BEadFMh81OwHksQhDvDzxO6xoYZ7PbM/rogR80gV7tqc/t69sR/HT/zA/2c/qDsLYUv5e7lcxi/9gyede+lRFkMmgcl43HvODzhE4+PR89Gx9z9enLDIfP2YeSsJRievRA1WocrAcoZ+TNQKSgNzUPj9FwM45UIHbMM6Dr3HN7um41H2wzC094j8G7HMchT/u6COvZZlf/iYvXpsq5a1jZ/fOZsjEzOxCOBY/H2sCz8OOcUXukSg8aeE9DMezIaes3Aw4EJcBu/Cp2SDuAh7zQttGsFUQCn40/eQ9B31m69L/pSz3zoiaw4MVT14HiUU2KT78nvFbsD05deRu95e9Fn/j7MX70VR5TL5ZtxtaAstJXpD+uAhsFhuL9VJB50i8J93sPw6MBkDFmxHx/0n6qOGY46IZFoHhCj8hWHSv4J+HfqGaxQ5xgwIg0vtO6j/N0AvN2mC9737o7Zi1fjuMqYvgS8KHauXCnXiZXgTA6/yGZnftHVFJwE0rae434QhDKM6XFppaCgAH369MGjjz56TcxkTeyy/PzzzyMxMVG3+hpcxVJWm2xs9K2kso4IXQvWC17ahK6BPqNQbegsdEfPPIC/KlFaKTQf9/tm4s+d52LkBmCgcsAtRs3DNxNmo136RszffQq5W4/gk5Fb0ajlDNzvppyrEsTN3KYiJO0MBuZvwh+Vo3ulYxzGbQQ6JG5DYNR6RKw4hUHpm/S7Y3nIs+phswldPoCXMCYqA4OnxOHZkCQ0cguD94xdevuPwnbjj30X49WhizBwlxLQiy/gMf8JqOCfotP9/pl4KDgbrwaPVSLbdn7niy/hvehiVPLNV4FMHBr7JqCWEsa1fRLwepuB+Ch0IhKPA6vUumy5PagyxBDIlh/gyMFj+GMHjpkaj7pe8XoMUvXATFTwSsJXo5ZgnAoKmgRMQ7OgSJvIDZymx3D9eegq8MUOHOsUvu4cOkQvwY+JCzCP/coUF2izeEF0mTOnRfqjvm78cJ10WUULxax542Zc5pIr17004Xy/G+O9ZcsW3d3GapzNdPecVblr167aqFu5IvAFQShNlBahy+RYR4shfrELXSVymXwi5uGZtj21eK3nOQN/aJ+F/krddso7iHcHpeHLQfHwmzoHC08WY7lyUW8OW6XFbnm/ZPy2bRSquU3Ef6N3K7F5Cs+0GoXXe6Rh/A7AL249WkxeiLC1pzEkfyfOqdxQ7FLkGqGrrDi6jJuCCVm5eK7LNDT1GwWfuK2YpLb/79R1eL1PNt4fsx5j9gH9887jjXaxttbkdnmo5pum55j4i99wTOM76xS0kH+fvEML3aoBsbakRC4niHzNbTQ+7RSHBHU5lB7XupH+hiL3sq2kcPzAETz5Qzzq+k1EzcB03ZJcpd0E/J/HIHw1NlFXCDdS/rxeu2gtcht4TsMDHqrMRq7TM0jzNUv9snciJGIJek7PwcKDap8qU/TszpfLXJ+SEkXuBeUXmUfHdnonHNx0xrGeCF2hLOMscGlbly1bhtatW6NatWqO1lvn3m9MFStW1A0EOTk5WoNYYRfl6wldY59vNZV1ROhasF7w2yZ0tZFnsjl8m5OyLHeYfntyrG9LFLlmLgjCtS7xRi+2LFSErzqClz16oKZnFOr5xmPqpkKExi5HkyAlPFUw0CR4Jqq2jlECcBRiTwCL9p/A6NRZaDVlFr6dMBOdsy9i8HLAd+Jq/JCwF/+cvA5tMo7p42UvBp5sORKvh0Zhw57T2tkWKqHN3ygueT6TUnMQk78Y74zOQ7PgiajjMwov9knGd2kn8FHETgyaMg1HVX69xmXhpTY99CsTagWn6Ak7/s87HW0GputJRGxcxuT8bXitRWdU9IlH9aBUVFeClTNDNm4zBX/rMwfnD3H0kcJeo40ihgtFepxS/PzNqNA6CrX901AvIBkNAlNQyz8aDUITUb/VaPRW59m481wddLB2vYpPKqp6peK98GN6oi+KZ8P5wos4y+k2dTPs1UZHH/eGyXbdTYhik8c2YW4zhRR+SjA7morvDlavXo2mTZteZayN8WYt5KJFi3D2rK0kafRF4ApC6ebnCV0DbdgVO0bLx2SWmoreK99t6Rosh7Adj2vxLz1OAYbMO4A/eg1ExYAcVPDLxsSlBegQuRZ1faejYVAUqvjyNTkx+GhwCmYqY5u0YDXCM+ciYNoCdElcg17LCxCScwCBvcdhTFweWk3fjJ4LirS4i1+4DS+59cPfAkZh4+5j2lbbLDYT/UwBwnIWIn7ROvx+wBxUcp+EKu6j8If+Wfgubi++id6F8ZFJ2HvyEr4ZHIOnv+uE6srfVfJPQkO/KajnNQEhPbtrX2WTkycxbdU5PP9NN92ay1QxMFmJ8kQ86TEO/+idiTNHOK6H56/8xOUr8yjTwibN34qq7CHlk4hGIcmo4xeLmkHJSlAn4cn20xGSdxxNOiagXrDyiSEZqOaXhLoqz60TDyi3xnO6hIKT53H+xDlcVH9RoI5jKX9+MVfAXE/n62omzTTLUcjaYebzHM5cUvcSd6CTOp5umReEewPaVArcmjVrXhUnOX/mEK/vv/8es2fP1l2Uncfd8q+z8DUYu/xTU1lHhK4F6wUvTUKXv5hFRerYroTuIuWf3g0dqkXuGyPWYvjiI/i9R3/U84lBA99YtTwVDZSoe9i9B76ZkoOsDTvRYdRkBCetRPe8HSogWI7PR67FyHkX0Xr4Qvy5fx5e6JGFQRM3YMkmICByC9wnrcLWg+dtk2HZ82Fz+8DO85cxNiEDA7YBv+8ZhyYhk1HbayQquU1ENc+pmJSYigMXL2Ou2viT7lP1S/Cr+SXgoaBZeGrkTuQeANSmCp4tsE7FMy26T0IF7zgtdjlhRjXPODRoPQleSQzC7CVCj88CLVZGQSWOVRoRk4cqHvFoEDJTtwJT6Fbzmo4mHVLQ3Hsy3ON34+FuC/Wriih2K3sna6HbYY1tRmuOebLJ0It697ZiZpmrA7Hsef25kFm1Z6PkZLvuti8XceLMWew5cBCbdu/D9gOHcPYca7r5G7Gde2mnd+/eDqPtPCPge++9hx072EZwNVajekvPjyAIvwilTujaD2M7nlmLQvcC8pTC+7PvYDzknYHXphxDr9Rd+LP7CNT3j0Szdkos+idrUfeU12B8NT4Xk9NyEdxvBMavOIURCw/j7YEZ+HjsXMTkrUX3MTF4b0A+3u03G8Pj8rH6CNA9aQNCpy3G1gOntBS1nQV9gs3jsZp1xtwV+HEL8HSvHNQJmIRKbYajWovRqNN2IiZGp+rZouN2XsJfgwejckAyqig/RJH7l/45WLdvr0XoqvM5BvwjdBwq+s7Q3Zcf8onDA96x+H3AVPSeb++rdImBryoL5edYIhw7zH2MiZuDGup8+eqhhsFJqOk9Q4tc+tc6bsOV8N6IBqFK/PpN1xUANQNTtdAdbJ9UWYtdFq+9vO01sBbUNVf/chVzPZ2v6zVC9xKnf7yoRe7Og5uwaeMu7Nt7DMUX6O8E4e7lZuIXitSVK1fi1Vdf1S201hiJySpwq1evjlGjRuHgQVZm/TSMXf6pqawjQteC9YLfNqFrh76Did1i9WsA6A2036Kjo/O0CSvtUSyJqxmxpR0IBa6TyLVRiJWr56Ltj+MwIDIX78UeQuXAeFQJztSvyeGkTvWU8HvSPwx/652FuI2F+LRrGEKyVuAfg8LxuhKEI+cAT/Rbg/vbJqCq21A8/UMs+szfgVFrj6Fj5kX8mAdkbgc2Ks929KxN5NrctE0ccqxs3sqdWL3zJMZMikRwx+7oNmocsleuxZkztvKjm9ujgpTorLkYOyMJecs26xmRuR/+5SySpqTXrF6H1hNy8Vq7caj9/Uw07JGL1Nkz7b/ayoWlUkyRa4fbZm08hIZtx+nxUg1CUvX428rBc/GQ72w9/mjqnM34ossEvNayG15oMwR/DZmCiMx8nTejnFm8uoivKWcXmJWvkyj9VimR/68Z+9C0o7oeoVkq8EnDR71nIMEyv4CpvSsNON/nHGv79ddfX2WwTaIx79mz5zVddrgPPkc8LyZ+/ynPjyAId5afI3RNfaNzhS5nvWeibdcSUdnqi/p3dgFmsq3nEEz2T/zXbjr1Z65js/fci034LV+9Hl+0H4yh8QvwWcQ+1Gw7HQ2CElAvIB71fCejYUAYmnpMwB86xWNc3h582mkSpu44ji9HR+DjjmGYOO8oHu6+EA+2jUHzVn3xh6Cx6DV7O0atOI6Po/fgq9SjyN13Vs/Uf0Q5KHoZtqByZmP6K1aKpixaj/wNe9F/bBTcQ3uj17hpWLP/lCojtYKdi+rk85dvQ3z2YsxevUu/Oo9WkudDocry4bdD+3bh85HZ+H3gGNTvlo9GPedj9sKF9vO+Gr7O/oI6Pv3d3N1nUKXVBDQNVufdLltPhEVfT5//WcexmDp/H97oGI7HWg3Ac9+01xXiU7JX2md9LkZhkSpP7UNVrq6qmL3yxnjml8l2dRTm4phkfuAGKjFk3602+Ovk1WjYOR4NgzLQpN1MfNxzup4t24ZaQR+b11QQ7g5o/0qK09gSGxMTg6efftrla4FM4rtw33zzTUydOhUnT9qqvIiJn8wxTMx0Mxjb/FNSWUeErgXrBb+TQnczF9Cv6GeF/5hfSxa6TBybW7LQZTvrWaxRinP+rov4MOEYKvhG6/fBVgrM0K/3YWrYaiReaKfE1eYidI1aigGrDuC1HmMROu0AeiSfQznvFCXAsvB4lyh0XQN8NTZZBQB8p95JtJ66B/0SNmChOsbOQ6ex79h5nQ3mkc6fDvugigDW7zuHrbuP4uDxC9qR20Immye0jdSxBQpM9rPGqm1HEZ4wGz8On4yxMenYvn2nHoIctRsYsugo2i4DOu0y69scMD9fvsx3hPGT2nvxJcxYsFGn/0xZi5rfDkMtv3jUD05B+YA8lPPLxeCEBdrBJ607i+Hp69F75j7Eq/0yT5zBsrjonE5ssdaX55pydgHXuUFiRUCvqGxU84pE3UB2T8vQr3N4vm0ffNgjwnF/8Z4rDfAetxpzjhd54YUXXBptTnmfn59vX/NquA/zLN0LBlUQ7lb4rN4JoWve5U47T66I3OsLXSZjQs16drmsWzMvXLqM5Sqb8/dewr+m7EAt9wgtdNl91wjdRm3G4vn2schV4qpz2DxM2nJIC93O05agV9w6LXKr+qfi1c5T0T5jGz4dGIvX2o3Ctxkn8U36CXSakogN6uTWbj+CbQfPap9FP8FEr8P5IeZs2ofl245hl3KClOBGtl26pDLJk1Dw3Jl/+j/+vvnQWUSk5qHPxHj0n5KE3ds343LheYzdeBn9Fp3Q/u57PSuz8uoWO2xgmRw7U4Sp+WuQsnoP3p+4EVVbT0QlrwRU9k7UIrd8mxj0iV2qx+GOW3cZvfIOo1fKcqTvs12XHSpDvAJa6PJsOPyHkyxqoWuDn3ieJjEnOjfMgDWZH3gjqES/P2BaIir5TEatEL5LPw21fZLwQtte+LD7VJw9zftLlQpF7iUVR4hvEO4yjC3kRFHr169H+/bttcC1xkZmzhIzvIvf33rrLf2+XDO068KFC9r2MlmHeZm/ws9HhK4F6011u4WuzT0DrMxkYi0xX17Amm4GAYR+go6Fia6e/9n9hv6N4su1yLVxsfCco1//hJXn8VzrfmgQkIiGgUlo4huHhl7RqO8Rhk/CNmPzkWJ80joUrftOxrjZ69A5cxH+OzICDykHeZ9yll2S9iAochP+2m4iJq0thFfsUXwweAXe6bMQb/Wcj4QF27H6oHpIVcRBf85XPpy5YMsvsbtO3fXaCtdjkFJcYMsnHeKC7efwcPfFKOeRgBo+sTpFbAD8Jq9EvQ4L8dygbXhm0BadYlZc0O8MPK9K6RyPQEep0ha13/7xeajlE4Enu2UhZDPwcXoRHumchuYdk/FGq2HoPHk5zhcU6TwX6rFJRJW2cvC8Bswvio7Zkilne/7NdTHX41aJVkr3T53DUc0/BrVDklA+KAuV2s1CFXVt+D5gjmklpUXoGmhsOQV++fLltaFmLaUx3kzWrsrOeRdjLQh3D3xWf6rQ5ZOv7add6PIz00570sJKJYZ2TGZ2Xk7uZJvgybYPZ4wJpv/TPlB9c2VNIjYW4oXWvfRY1fqhWagXHI7agWF4WNn99/tmYp9y35+3CkXLPgMwKicfwWNS8F3PyVrklvOIQ6Dydy3DVuPlDjPQIeMAQucBH05S/q9XJj4etQhz1p7S6bi99aW4iB6jwOEL6NvpUejPbeGrHXt50B/yd5ZF9Mo9qNV1IX7jkeR4lV2Y+qFV2GLU7ZKDxwcuxbODluOZgcsQveqkjheunDOl8ildVvG5q/H/tYrAo32Wordyiv+I2YmnO2bgqQ7peC10ELplrNJi2HBRfby27NRCiluKXC101SLrSvzsqsCdMevxcCqFq9vnhU5h+t35jTvO1m9ZqBLMVxim6UkhF6/dYvenRSi4xNIThLuPdevWwcPDA3Xq1HHERNb4yCS24LZq1Qpr1qxxCNySoB02cVNJ9la4NUToWrDeUHda6GbuA0bP24vUhRuw+ViRxZHbHL5V6Nq+q9943BKE7qUi1grZZmRjV4gpawrRdmweqreN1BNU1WodjrptI/CX3nmYpKKOw8q3rdl7Hl98PwJjZq3FkGXbtNC93zsRD/omo1PCLnw7fB4GzzsCj8nz8LgSyQ+3mY7HPKLwqPsMfOrdHenLbRNCFSj1avJJzhTQrbMmWi1TSU+mdbFQJwpdZp+fyS61avvBESrgSEetkGxUdo/Ur/npMGMTXmo7WgnDXCUM56GSXzYe9EjD372GI3ZlwTVCd5mKPz5p1xfVvcJ1at53Ob6dC/TapgKIrNOYe8AWaBEKXVvZMtcqL+dO6fDBIb2LlSq9zUJ3qrroz4dM0EK3VnACHgrIQLnATC10+U7gGTNm2NcsPTDYZVdl63gS0x2HsyoPGDDAvqYqJvszYQzzT3lGBEH49bidQtd8N0I3df1+jMpYiAUbt2HfhUta5N6M0KXfM2aYn9kKrOe6Z3cfJkXBmfNIU/Y9aNoCVPaM1alCm5Go5j0er38fhxFrbNuu330OX/zQA4kbtiB21VG49Z2mhW7d9jkITt2H17smokf+KfxrYI5+H25dj3A0dhut0388eiFm1hbjDnDpoooHLp/X58h80+OxtfeEWsGEsTp7LA919JP2yRvXKnfVstc43OeThqod8pUwj4b/EqDt9OX6tUbl/eNRrZ0Sg94x+J3y2R8ED0faVpuvtGETuhsPFaJVUE89/KWiXzIe6avOYT0wdDvQfyMwTx1bnbbO7xl1TFO+59U1ZtLZ0qgV+UWLXOUBmUkmwr/cgTnp62HW4zmr1H3JKTT3Ga57kfE9+HytE4VuNeX36OtnpGRpf8sKZ+OHBeFOc7viknnz5uHf//63Fri//e1vHfGRc3rkkUfQr18/7NtnnzzVDm0tMfaU39maa82f+c0k4acjQteC9Wa6E0KX7mqJ8oahYem43ysdD/nN1JM1PdY1A9lL92jxyT1zvWLlBi7rTzYocrXQLYHLxUroFrE+Gdi7/wA+G7kAqepri3zgz2P34uUxa/BB9F60WwX8O/YYxiSu0K2pi3bvwYz8OVilvM6P0SvwYIsZeODbSPiGL0TbCXkYPR/4fcswNAuajiYBU/VL5/ny+ft8o/DMqNVIUifGdxYusCfmWHdJtqnGq7iglhUqn3pJ+TVzLjnHgFd9u6ORz2Q8GhKJup7p8J0FVO88C+WD05RoTUTD0GzUDuCYo0xUdw+HRw5LkwdQ4YVdkEYqbdrMcwqqq0Chiq8KdkJTUC5ACUrPCSjnNRHRs5bp8Uz07+fU+tbyvKScLbuZXad4jf92+PNbZYaK9l5vF4YagTFK7EbhwaB0lA/NQl2fONT3T9ABZmnAvA4oLy8Pjz32mEvjXbduXaSlpen1iBhhQbj7+blCV2snu4HkZ9rLDepD57BsPOARq1sf6waE44W+MzF79Q77kJYrLZR6+xKw79YhLDkRos5FkRKRR45ienQ6Dh6/iK9mAy9PPIAPhq9BYMYFDFXx5X9iDmFo8jo9bvTQiQtIz5mnhw91jZyrK1Yf7pKDPrnH0UI5u8DcI2jgNQoN/JTQ9ZmKyj7ROjV2j8df+6zEKpVd+s3lKtn64Nj8mpFql4tP6cQKXsK8XrS8RidyzVG81LITagQr4eeXgod8kuCvFGmjLkr08rVAgRmoEZLtmFuihsc0tEpnGVFKX9BejxZ6tDqvht4TUN0zDrW8E/Uwpfvdp6Nu0DQ81HoksjYfg9L+V4SkKUDnRFwtv9VkFLLdUYarg7/WLU6/IomvSnoomO/Mz0Bd72n6Hcaz12zCIbX6BVU217vugnA7sdoul3bMqVealdOnT2PcuHHXvFLR2hBg0p/+9CcMHDgQhw9z4MaNoe11zk9Jtla4dUToWrDeVLdb6JrHZ9z8Lfhj6/aoGDgLv/Xga3PClfOPwsctO2DJltPaZ/A9sj9F6DKRfQcO4j9jFuH7Wcfx4sidaDUHaJV7Ee5KtD7bdwkquM/At+1GakfIbsA7Cy4ieYsSNyoS+POQTcr5J+D71I1a6P6YeBJ/aDVVi9ymgeFoEDhDz2xZLige9/tHY+wOFUhMXI/3Rs3B+6Pn6rG2rNG+xKwzu/bX8vCl8/xqujIb15+46wKe/iZIOe1JaOIXhnreGfgu4ZIWuvf5Jmihy0SRWzd4lnb8n0WZ2jHl8il0FVPUyTRoPQ61Q1JQKzgJFVUqH5iIqoHK8SuxGzlzsWOcGAMFBkpXyvP6IpfY/bftlLjgFmFg9NnADPxfi3GoGRSryi5VJ7a4c6bsI0fYua90wBkArTMFWt/1xiB4zx7bNCY3whjqm0mCIPy63E6hSxt74nwBOk2eiTfcftBzElQOSEU1Vjy2HIGP3QKxYDM9EEXcmSvbl4B9t1cJXY1yLCcOH0FYZArGh8Xh3Zhz8FLGtovyee1yLuGt0evRrF0q3vcZjM32A5w8fxmr1I7WKIP+l2Gr9ftrB8w5pXzeHnwWvgJ1PUagof90LXar+cXp9IhvKpp7JSNTKeQO41bjn8NWoWXkfixdvlZX3J4vvKSH5NDDFBed0L2cmN+CItsr5QjjiYjVR/DcVyGoHsQeTLb5M77Jswndyr42UVhdiULOLVE7IAF1faPw7+m71dZXC91Re4E67qO1yK3rrwSz9wxUCVLrK6H7YKsRWuhyiC9zwd5LjgK8U0l7dJXsjlKFGvho+Gz8X+soVFRld79/Oiq1n42a7pPRODAKewsu6yvPS3IlyhGE24+xWaYVlX9dCVqzjlnPcOjQId17jTMo/+53v3PEQs4Cl3ESBe6ECROummDKlb0UfllE6Fqw3pC3W+gWFJ/B/qO78VWfMfiTWwgqKqfP7jyVglNRMcj22oGWSXuU0be5RXbPYmJ9ZxGX8iHUv7iGtcbm0T135gxiVh5B1/BZqNdyNB5TDvuZdol42DcS5ZVArRicgGfb9EYGZ0hScIjOEyH5eGfodoQvZU33fnTNWoTpO09gUG4hXnKfitqB01E/JAp1vWJtyScBtdTf/tuUkw6Ixf94peJ/vdPwbMAM9JivjIW9iPi4z912Hn8et0iJ7rnomLARs5TiNA57yZlLaNlvOB51j8dT3slo6jkV3VUe/tojCY95jUV5JaarhiagQXCOcv7paPZpCPpk6em87P7VVl4Hz6kApNcQVHALQ4OQZPxWrX9/u1w87dUfz/sNwrrt23XJchsmVwbtTsJjnlaB32fDZuIpj2Go/fVANPcYg7bfD8LCnVcbxV/LMLL20d/fHw888IDDeBvDznEn/fv3dzgIV46CmPzfahIE4deF9vCnCl27vrEZOvvPu/cfwlc/jMPf2v6ofR19XjXfDNQLzVX+bhKC5xXoMa2n1fr0dvRgtMiurLLZLX8zfwnzzMlg0pZtQbvBE3WX3zrt1TEC4vXEVPd5xaFKuyz8JWQ0TJ+ZM0ozNv0+B38etRaTtwKeEXswYd4+5B8G/BN24pG2o1EvaCrqBoZpEclUzTdLpx4rgEcCovBbnwydnvNNwvfZNtFGGCXkrtiGj6Zvxu/75KD3/DOYZ/tJw+FC//HohHqtJuNR/xjUcFP+ch3wWvdkPO47ERU9olDDP1GL3Up+aXjyu27oO2un7YR1OqsK+gz2HgECOwxG5VYJqO+bjUoqj5zc8I8te+HTruHYcfyc7katsTq+O5UMju8qaik4ia9G5eNJtyFo3Ga48nej8N33QzF/L0U7+33Zhg9J12XhTmJs1vXiPTPbsfWtEatXr9bzkzz55JOOeMhV4uuB3nnnHaSnpzvmyBFKFyJ0LVgd+O0WurT+K9cvxYstA/GaVyc9XqW8X7Jywhk61fUcjxaJux1+4laFLmdk1tvam043Kt/RPXKObuVs4j4RzX0itNCt1jFNi93P+sdhrW1TLXSb+c5EY+9MvO4egfZTdiA4fhZ6zFqGlH1KdKr1awVM02K3nk8c6nhGo4Z7NP4yaCX88orwcGgyHgyZjfsCslHrv4PhGbMHx08UYcnSTRgwfTZGJSzEVzmH8dLoeXj4y+5oMWo29pxQAYo6Nuv0I1duxCNtYrXYfdQ/Ev3WAANWFOMpvwmoFBSnhW69wCzd0vzN4ATMtfXQtmHvFsZ/V+84hD8OXopa/kp4+2Xo9JzPQAxYdEgLa+Pvue6NDN/txlbbr4S9SoOXnoVXwg50zjuFDSdsY7qsBvZOUtI5c8zJK6+84tKQN23aVM8SaDCOw5Sh9ftPTYIg/LrwWb5dQpd/1m/ejtdadcE/fPuighJilYLStNCtHTwLDf2mwjv7pK7sZE+bGwldLuM+rX8NzM+eS0DvyXG4v8101AhO0TMv852yFdUxH/BJQKtJedr2XlBm9qw66KM95ughLn9Svuu/I1ejS8QCxG8owPT9wBPKFzcIDtdit54S50wV3FPwj+knEZpXiEaeU1EueDbu95+J5q2mIzDxjBbsC9dtwFCVB6bOq4AXemejaYuB8I7agJOnbWKO63ESqcYe03R6rEMOxquiHrgaaNhqOKp6x6K6XwJqtZ+lW0Ldx8/CPBaSKRi70GUZLFl9CE//sBw13dNQwSdRdw9/238EMnbb2n8dbtI4vjuZDI7vzPQF3ZNp2NICBGceQKfc49ikMnaMP19m7i6o63FBZc9WNoJwJzA262bjvRUrVqBly5aoUKGCIwYyrbfW8bgcnxsYGIgFCxa4tIm3ckzhziJC14L1Zr39QhfYvfcovugyDm979sLjAUl4xDdeOf1c1AnJQ9O2QzBkvW09Htf4C+ukSdeDjo1SyQhdupn1+07gnb7ZaNxqJCq3HYuaPpPwYuuBeNV7JNLWnNBjlvSuVXJPPogaLUbqcbG/9YpTArk7Ws1YpMcyDcmcowRonMpzAhq3GalbIj/qOg0J24GYdcfxjn9fNGsTiUc8Y9BhykLMVsHCf8YuxqOe43Cfd7gS10l4f0IaJh0H3uw3Cw3cxmByxnr9yh3mk2NmV+w8hPZ9h6F/1mqMnrcdYxecwfjF59G0Y6YeQ/WC13j4R21GntpoyvIj6J25CYPzdiFPCUVOdmIrLSXwlXoenbYEbQdGom/CYmzcZmvJvWJuKMyKfgUjZLui9uLWre9Mtmv8y+HqnPnet3r16jkMuJlwiq25LVq0uGoiBasgZxneriQIwq/LzxW6uo+HzczpP4ePn8JX3Ubg1ZahelIivvKmdtBcJeRm43HlhyZvUivRHBXYpqOyid3r20P+xn2bv+YzvfP+cwX4+wDlX1oORx33kajrMQq/d++D14OHY96uo6AVM3MM+kUtwzMeA1DLIxN1PGeifuuh+C5irfYlk3M34PFOafq9tH9oNQUvtQnHPwLGIU35u6nzD+DDwBGo12YymvlGwiN6AWKUcvtq6mY8ERCFii2i0CQoB/4jYhGxdC9e7TUPDdtMw7jMpXqYEP0dLWjGyo3oPGI8pq/Yj34pSzBhbSGGLT6BR7vlo3HHmXjFdzD8puRjltp3/PYi+E+aj4HZe7FAnah+D799NqlNZ9S+Vu+FX/xS+MYtwdptLFTCo5xT18r++j1TWHcqmQtn/278myt4++g3NahYhcn5zQyCcDuhvaJtM3aL85C4aljgvCPu7u6oUaOGIxZylapVq4aAgAA947IzImxLJyJ0LVgd+O0Wunb9ifG5W/Hyd13QqG2kFrsUupW80vBkwFhEWGILrmvzHT9N6LKVkClROcKvJ6/GqyMW4E9D8tF25Gz9Hj2O+mFrKltzuX6m+vNd9A7c75eI33jEoG3cckSfBMKXbsCYvCUIzCpAQOYFtIrcAO/EnZi47DRaDklH5+mzkbGzUAnqJfh26l6sU1kNnjBHCd9ReMJnIsoHRaNqh0Q08OmF98anov9qoIn7eAQPiMYOlWkjdI3ojVh3DK9598DfQ6eic9R6dN0AtJlVjPBtQO5FwGdcBl7x7I3fu/XESx598ae2gzFmgb0PtionBhMU8Hx9ExNh6V0xP/em0OX5Ot+37Krctm3bq8aamM/33Xcffvjhh5vqimP2/XOSIAi/LrdT6BrC5m/Gyy1CUMUrQc++WzMgD5W9ZuL9XglI48vX7cbP1ppbcouugb9x9+av+czBH/QfeSr9Z8IKfDhhMd4ZkY+vhiRggv0VPTyj88rncJt8leH/DEtFAyW6K3wbjy+nrsBYpXJjlu7BMiUuR6gNhignGRK+Cx0i9yFfOZZvVZ47TJiFjC1FeLZjCvyyziBb7eyj4Qlozpn+VWrgn4l6Pul4w+17BI9NQujsIjTzikLXiUlaaJtyop/irAxpygn+I6gfnnLrB48p89FL5cFrPhC9tQjZKh//7DweL3v1xYut++MVr2F4w3sgJi/mmdhKgEXIFtJl9mRms+bYZ06KxTcx6COawrpTiYe0XBTj34ieINs+OxcnfSwsLNICl4sockXoCr8EruK9Y8eOaYHLd9vyFUAmDnKOh5ief/55PX8Jx+xaMVpBYpnSiwhdC9ab9HYLXQNfpzN95mK06D4JL3/TAY+7j8JHg2Zh5wZb7VBxgd098BAWx3Hli2vsetUMWdXdlnaduYz2KwBf5TgDFl/ECHpEYn/eOU+U7j+soOvcrr4PnLMBPbNW6O5S0duBd8etRLU241Hdfzqafp+CYYsOY476jS+pf+0bP1T1icB703dg/LKtSNh5AuO3AE/7TkJltyg0Cs5Eff8YNA5KUAFFhJ6EYrpS1y8Ej0XnfuNwUB3bvFfXnJpH9E40aTUGdQOTUc0rBtW9Z+iuyJxYq23kRtznpr6HZKFZUJwSz5Fo7DkDj/jH4cjBA+p8bGVnHKf+YwYLO7gidH8Vo8RDMvGc9XUwX2zcyTxZ971hwwa8+OKL1xhzpscffxxZWVn2NVXulIMwhrwkTHn+1CQIwq/L7RS6tOn8vlnZ+PEZC/BlxzF45asOeMxzMr6dsg6Hd7Ka1Y5a12EO7RKJFbz8zxkuMUc3n5koIjcpTddtIRCYeRkhCy6Dgy2Yr9Pn1b90CmoDVqrytXf0j/vU+hGL9mJI0jLMUcJ29i7gw0G5eLlzLOoqn/J09zx0il2FjWrdGBXbPtyqK2p6T8W3qUeRuvAIslecxuQ9QKPWE1DHL15tk4DqAbH6FXI1vJNRxSMennkX0TA4Dl2GxeCAOjX6Oybjl9ymrsajbiOUn4xDLa8ZqOMVgdqe0zFgwXF8MigNlbyj9OSKnJiKqZ5vKur6pGDHTrbcFupJuQq137OVRpGSuQWXztqEpToEz5+JvzI5CuxOJfv1O6+OxsRvPF/Wv1/liotUxKKSzRczh4JwZ7HaLfZSGz58OF5//XXdg805BjKJ3ZcZ/48fP95hE40NNPuj3WSyLje/mb/Cr4sIXQvWm/J2C1362UJlzzlpBVta1yhPO3tXESKVh3ZMVnFJeV6za/6l/edfvczmyEqCQtfqLlbsPALvLn2Us41FhdaR+uX5z/bJwPIlB/VhCpVYLaYXsgtd1ngz9GBXZSZO3PH1kFQtcjkDZZ3gKFTxDsML7v3QK2c7Fh+8qIKX/lro1m+XhOitRzBh+TYEpezFUz4Ttcjl2KZaynHXUWKVrxV4tEMiOmTtxMNtB2Do5AQ9blY7QfWXXC64iH+PWIzGLUejpm+CThS5L/RbiN4LCvCn9lF6ZkrOWNk0IAYPhyRokUuxm5WRpoWuEbkl1xKXNqHr+HBbud75jRw5Ur8iyBh467gT3us7dtjeOMzt2c2Hz8HNYI75U5IgCL8ut1Po0h8xceZf7mnlCSBv52VMU05mrvp+FWr9K1bQJpSuJ3StS83M+StPKoE7LAoN20SjfisKxql4dfBCLF1p717I99pdLNQi97T6yDyxFZjzx7P+d8lx4KuuEWjacjiau43Uk1nV8onG8y17o2f6VkzbXYzH2nRDg6Ao1PGPQPL8Q8hfV4DxylRS6DYMTkHj0DTUDIrXQre2fxpq+aUieDH0WxVGx8zXx2NutdBVcNLIf/bPwpMeY1DTM1L5yWg08I3GH/vOx/j1xfhb53D9aiOOJeYszJwdmkK3aUg2smamcE9a5NrKwFZufFMD39igD6TgdWFylBuX38lkz4dV6DKZLuOOjIjQFW4TtxI/MI7v06cPmjdv7oh5OFuys9DlWyc+++wzzJo166r453rHMrbRWfQKvz4idC1Yb8rbL3TVTa/+GsNvHFBJ8Df9eHEjfTiHq3IJhZ1ZtaBIOclRm/SsyLUDZuvU2CcRddtG4/3+sZiuoo820XPxTv/pCIlYhiT2Y1aw+7Pu+qzolXscj7caikp+WagRkouKQdE6PeozAX/oEIUlqjg8h8agoXLC9ZTQ7JswU48dGrO+EM/7DsNj7dLwsHL+dfwS0TAoDeUDR6FRTyVIlQAPGBWGXXtsNfoMhnS+1WH5SiIflRnOQPlE30Wo6BOLZu5j8Uq3FHSdcxgvdQxDfXVOTLUD1fmEpKjjT0NjJcSHRU7Qmr1AOflCm2tVyRW2crztRsgUfimB50aDa+XgwYN6VmXOoExjbv4ycTxuu3btdFceZ262nEyZ/pQkCMKvy88RulyirQ0/qMTP9En0KUzG47FbLacfsq92BccCm4e8FaF7vqAAnw6fg6e9xqGhXwzqes9QPkIJXpXe7TEXkzYDX8TtwmvD56PllGWIY59hHksdyuyrV+ZePP1df1TznYVKnlmoHJCImu3S8WjARDwZEoaMzefwcfBg1PNTYjQgFv2yFmC12m7imgt4vm0/5QOj0SwwRQndRP0u9zrK3zXvPAXZe3bBa9gQbN193F4CqjzsJ37yTDFaJx7Cn3rOwu/7zNbvqG/uPRl//D4J7eZdwqMhMagUlIQKfB+873RUCo5BrVC+mzYc0VmLcYTOU3s9e221M+o4prycy+22Ya6bc7oRN7ueINwAZ3vkyj4xjvf19UXVqlUdMQ+TtZKfiXOVuLm5YevWrY74yQhX63ejD8wyYmyjSULpQYSuBevNebuFLrdgsrnxK8ksd8Y4xSsrXN9VFfBlfnb2HT6CpiEZqOkRoxxuLuoG5ePhgDQ08krAH4JHon3GJnw8KhFP+PXFyz7D8Y9OYdi096AKQhT2/kWd0/bgsZZDlFNN10KXTvYB5YgpdPkahOzdRRibuxlNlFNv7BeHMbMXq2XHMHjpSbScNEcHGRTBFLkNVABQMXgMXpk6H6vVQZadvnIeLAPtrxW7lAgOyjiA/05cjk9TzuCz1LP4YtIq/HPIHEzYCbzZOx51PaLUMRNR1TtaC90mARFa6E5MmYHsVfN1CGV7cyGP4apkr1+OPxnHdSp9cJzt+vXr8f77719l1E3i5AuckMoVxqhbDfr1sBr6W0mCIPy68Bm/nUKX6U4KXbP9jl278GLQVDzjPR7NQ5J0q2jzoGTtf55sG4GQpJP4Q98c1PSaiKc8R+PNH+OxZbVt5ke2fxIK3efdBmuhy1Rd+ZZyPjFo7jtOi905e4Gx2Rv0e205HGfaml2I3LAXo5S/+25kFmq0no7G7IWkhC7fu1tP+bt/Tl+MlRfOYeEJW1kWqAzTx7IkTp29jLUbdsE97Tj+MWolfPIL0GbmKbw9IBffRWxG/03An3vloLzyrxUDE3UlM31w1cAZqNcpCRnzN2DxRj2dpNoh5612wl6eprys5XZbsR/nmnQjbnY9QbhFaJ8uXLigK/bj4+P1PCR8BZBz3GNtxeVwre7du2PlypX2vdhwNWmVNSaS+OXuQISuBesNe7uFbkmox0T/Z7P6THywVNKzKiqXaBbfAL6YnquxW/S63btQPyQOTTokoZJfNir6zkSDkHTU8kvUzv7LhN1KPC7Cwx5TUTkwFg94ToPfyCRsU9vaXt8P+OeeQR2PCajfLkO/7qCcb6J+PUTVkBmo2T4WIzcX4sf5+/Flvxi8Ezoa+5QHz1q2A2/0j0efNefRMvIwnvBPUQFHJpr6p6HDpEVK4KodX2bts3K5bDk+f0G/bJ/a+secArzWQQli33Tc1yYOr/ZOR8RJYMqKA+iRvASxey4j9Qjw796L8fi3YXosVEWvCDzScjr+2Xcpxqw+jpbjMnDuLCcKOG8Pq6zFZz7dMZdfqqChN0RFRaFx48ZXGXmT3nvvPWzbxit/BWPAjbi91fud699qEgTh1+VOCF1jhy+qhUz8TM9msMlah9dT29gFrn0/jmTH7NcksmnLFjTyjkIDzwjd3ZjdjuuFxqNWYBTKKx/xTsQu/GHgfFT2CEMt5Ys4MZb/oGm6K/Epte+N+w/BfU4RagfForJvKqoHZqJCx0yUa5em/EwE6rSLxaRNxeg//wj+8+M0fNZtKnapE5mcNRev9p+FvhuAf07ei+btsvF0u1Q8HpyE9lPysNS836eIs0nzS4HuJs0JpLrlHMXrnaLRwD8VNdxj8c8JOYhUJnvI8ovopET39F3A1O34/9m7CsAqjq39Xt//2id9dWpQpLgTd8OtFAqFFmkLxTWGu1Pc3R1CCERIQnACCYRgcfcQI+72/efM3k02aShQoAV6Pzi5e/fOzs7OzM53vt0RmM0+gtZjN5F4343PxmwlMb0PAw4GYCudc5Gn9CZXkT1/PKqVjxpq/Nng9snd3V2I1+pvbJXGQrdevXpYvXo14uN5kMXjofZVXk2oha4Cykr8UghdYardj4FwJsrLhNB9kJeLpnNdUcfGDh9Yncd/x/J4odP4eII9vrA6gGk+5ei9wQeNRu3BR5Md8PaEI/hm2kZcSpRmg9x8whnTvUugv/SsWNfvM2tHse4vi93/jt+LgecyMOtiFIYe9MQy12Dsv5eFVEpjSGoZmlpthNHio1hyE1h8AxjmkIvp10ls3SnCZR4ILIQuqWJVF2kWuoFBcbCY6QINEtzvW7qh6ZLb2Ewk3239JXSw/AWm4xdBe+xiDN5gj0OhFOfmYDSa54GWS69g5L54HIgCvl9/EmP2nUd5Gcv0wgoHqtIhkrcq97zuyM7OxpIlSyoae/7k8Si8zd2Wp0+fjvz8ym5vXK9lccuQ6/nvqe98zNOYGmqo8efiRQtdZja5XZYhf5eFLsUu/omDVXEJU0GOl8em8m7uupyUkoJmtqfR1OYUalvai/Vza/Pbz4mH8MWsMxhN/KO90hO1xh9EnclnhdAdPGMtfJLLhdBdtX2XELo818R7E53w+dTzeMv6NP7P8iTem7APvY5HYa57JEbvv46F9rdx9H6uEKvesamoO24njJa5Y9ZtwOYaYOlegCV3gJOB+XAnsUqZRRdYgsLSTEpvvuhk7OhzE5oTdqLlyE14/+cjaLvgOpaHFMFs9UloWm6H/pS90Bi/DUO2XsM2ErTfb7mMljOPER+fwdCT0eJtr6bVQcxwl8pIkT1/PPjkf2oC1FBDAovVpUuXiof6NU0uJe/j2ZX5Ab+Tk1MV/0e5Xf1h/29B7b+8/FALXQWUFfaPErpMEjxTMr9/48mZeImAM0TiPIxI0Bj9Tsl47A3HzgR3i2KZl07Hz3EJhNa4ldCyPoCWY3egwaStaGy9A99uuYaF17JRf8phEsL78eX4PWg0aR/MpxzDERKXzM0mw23Q3/4hZt4H+s72htYPx/A/a2fUmnEOnQ/lYFEc0GW+K/qvvY6w2AcVPFdECRh/7Dpaj12KpiP3QNvmBAwXXUTjScex6BdnRNJxxVmUQtUBfF3ctBw6f4fEuLPoJt1j8ibsv5UGs7U30cDaDrVJmNebfFisAfy55X58RyJ3dzg5FB4PMN+3EDvuAl8vuoLWI9dh7Q2W+QxqoOiv0qp+k/a8zvD390f37t1/1diz1a1bV7zlfdHg++RJTQ011Phz8SxCtwL8k/Ln6t8JYhJEFXgixhNFZaI3kWqqCMFjghTLKyczkiG33jzbMEfLQpe/W29yhvnPC1B7khM+m3Aa9WxP4tMJRzD+sCt+ueqPz2zd8DmJXB7fyjZ84nwEReeA5y42nrAKMxzuYr13Mr6yuQz9H06glqUzPiTRa7EvHEseAAbTD6H/5itITGHBCjwsLEVGcTkG7vJE0zFr0Yh4tA1xqOlcR7QhPl2y+ARiooHMglLwpM9iLR36z7NDLzzghrdHu+Mjy8voPWExjnlFwmyLN74gnvvC1lFMOsVDgupNOIEBO27iYBKJ8Yvp2Hg9D9M9imE6/xK0x6/BRp5Bi6MWjwjUUOP1B3cl5qFYyjaIh2UtXry4ygRTbLKw5Uk3+fP9998Xvryjo+Nv+tOyyH2cXyKHeVw4Nf58qIWuAsoK+0cIXeXNlpiRh9Pul9B7y2Z0X7sGk1ash4MPT3dBeILTsTPAdMdCN4schCv0ZbL9bRhMO4ZW43ai1fT96LXzGtb5AT1WnUWt8TvQZJYd+uy8jX6772GBWypu07E8367llsPiDfDkW4AncSlpVLQ/nITFKcBa+q65NhL1Bq7BmAMhyKXz8HmF80Lp9CAvZdTBKzCa4QSNSUfRwtYB/feG4cbtQixZ4YKzp50oYCXi6OBFO+yFyH17nAt+XmWPg3fSJZE7/pAQul/YHhLG263H2cPaIRtfb7+OVtMOoMWPO6Ex8gBs7YPhKWdnSVGFQyRb5RZn5qMztLLx4m3VzlcAyjrp6uoqxKyy0ZeNp9PniRZkMHE87iHKs6AyP3/b1FBDjT8XL1roKndnZAI7dtqh/ZoNMFq2EsNWb8emK75CGEqg0L8hdKtbAPHO7H2X0GzWJdQnUVvb0g4WW+7hWGwOvl29F/8deRyN5l7FN6ceYPT1Mrhe9kcmcU8QHfv1vL3QHb8Kq67G42YGsMEd6Ebq8pd4YEYo0Hy5J5qMXI8J9iEgfStmTeYHtDzVhEsBMOLoHbSyPQKtmSehP+MEhh0MxL07BVi8yA5BEbJ8l8CzQ49fuQ//HnkG7447h4krDuDU7QR8arUfdaccFUK3js1pNLZxFJM8trbai198SzFs41UY8mRbP+9H07HHsOR8NHg0YSH9yy+X+0irocZfBwEBAfjhhx/w+eef1+jryMYTbc6cOVOEV465rd6O8XduAx/nD8ltoNLUeLmhFroKKCvsixe65SjlNX4I/ISq795g1Bt3AO+Pd8Yn1mfxz3F7UWvmKRy+FVvxpPtJwLeo/JQ7kzyEZCLW+6EpiM0qQkoRiUonX+iPmo8eK1yxKQCwOpeObhuvY+jxZMy+LqJAREwyNH6ah5GbzuBqZBz6TbIVXcG+nOUEzcn2aDx6L76ZNhcn7vPzcEq/aBfKUVCaK7o+nwtOw+pbuZjtEYcl/mWY65uPtjbL8e220zh+wx++aflIJNEsL7NwyiUC/5qwAW+OW4sxOy9h7dUHaDTRTlgtmzNiOaHPbC9Q3pxBk6nHMY/0/5JL1zFq/1FM27IX+y/fAJcOGydFRMt/lCbel3MjV7GjRvBMoWIGa5U9JvhLBe56ww16TY293FW5et2tabKFJwG7o7JL+jjIZPBb9qejopy5BokK/UR4utBqqPHy4rkI3UegsCgTJapJk3Lp46stF9FowibUGsXLz9njX6P24fNpTjh+7bYYOyvdVSzjioTJkO+36lZSUkZtWSkKcwrhf8cfcck54k2qjVOIWM7u+4UHsMv7AcafyUGXdbfFA97lxH8sEQ873YbuDxvxw9Jz8ImKw2BLW9SxdkGjGefRcOoBfDR6I7pZr8DpECn9hbw8gIoU+MHw6YBorL+dhwUX4rHyXjkWeuWh1ZRN+GqrK1yu3kPUwxKEEN9xd2c+6oCTG94eY4f/jj6Ocdv3Y5ads3iwW9/qOGpPuYi60y/jEysnfGbtjBbT9mGGVyZ2XY/AiNWHMGO9Pc4HZollkZhryzlrREMs5YScH2o8X6jz9eUArwrBbRQL3Oo+jvzmVjZDQ0OsWLGixvG37NvLopZN6Ys8rn2rHvZx4dX486EWugooK+yLFrq85isbg9ctbWpzAg0tj5KgOyfsg2kn8P5UOwxasAXXf73iyyPBjTELXSZwtlwiQTaeByqdfuR3xKsvBGMbadRuv7ig4cS9ovtyw/En8OmwfThw5KQg45UeYTCdsAqTlq/BwQtXYbHTD++N24/6P+9El+VXcPROAKIpHIdlni0qLxBCNywfmLr+MNqM3wgdG6nLdJ2xGzDtnD9W3EnEogP2+HHOMsxZuB1H7K6I47lLc6NfHPCP0asxeI0TDgaViPVxm1jaC5HLYveDCa5C6DafaY9ZvjyZx1Xco2PZ9fDPKYFnYBquBqQiKSVbckH4j9hQfZbzQ4XfFrpcrixyRS8zuihV7zlhfzYe16DyW9quXbuKBp677CgnYWjcuLHorqPEs9ZhLvOniUFO/6PsTwcnQSSDC/vJC/zpQquhxsuLFyl0Kwbn0KFe14JQe8RKtJq8C3WtTqGe9Wl8aHUC7006BssVG+GfwW01WykdUfxYoSse7HKDpADPcMypdKNo5l9+ALdY4Kflx9HC5jQajD0iOK/F5CPYZXcdKZS0hXbRMBmxA3PWb8aaA0fQbO4Vsf78x2M3Q3OJIw74JAhRW4FCIrq8XPjTsWNXb0PLUatgMHkHWlvtRivLXZh2NRYzr8Vj9S47jJm2BJYLduPEhTCR3pCkh2ix7IYQuz+u3oKlLhfQaLKDELqf2ngI+9zGBbUmnobuInvYXknBGrc78KNrZB73o6LxiMjClXi6OI5QQMoNvmbmMDWeDZ9+1hjeN3ggmQS5nqnx54AF7uHDh0WPNNmvUS6PqDQzMzPs3LlTHMNtmhLs0yv9jprasse1b9WPf1x4Nf58qIWuAsoK+7yFLh8hHcViqxhlJUze5eBFDjZez8Dbw3ntvQv475TL+L9JvHbtOXxk6466Py/GdlaUT4rKE1VBLgnRPHIYuKsxY8yBIDQZuhEfTKLzTnfDR5Od8J6lAxpb2WFlsJTK+2GxCA28RfHl4iEl1z86EzfD4xD+kMfCskinUHwuIuASipuNRw1tOX4JH4zfhw8n7EdLIu9hR2Iw614p6tnuwbtjnIVo/WDcMfx3+H6sPHJZjEf2S8zD1OXboD16C+xjgAFrrqLtqB141/Ya3hx3DrWsz+HfI09h5LYrIr+mHPQR3c42RgCGiy7jk5mSGc89i6U3RZKksVGCoiitYhKsUuGsXCBHYeBGV2F9N10UFkVOg+wrFXNw+iJbTfn5R4PrnPzksTp4vO2nn35a0dArJ2LgRj80NFQVUuo9UL3xfyJUq1dcP7gG55eVkCPKSzpJec5WETt9kXsXyI5Ypb1kkK+vwiiNZGV0lWy84Amb/Dtfb02mhhqvKl6o0OWGgXCHbL57OD6yPI93x7vhY9vT+MjagQTlGXw+4Sy+GWGNW1F8bhbGxaKNYcmrbDmqm9zGKL/LJmPo8XAxjraupaOwtyyd8P6M8zActxgHA/hdaynSQgMQEBKGjJxcBKbl4lpYHO5HxOFBdiHyKWZOh2j1SohLVGN1eOjNkl3O+N+onag9+ThaTdyL4YeDMeF+KT6ath+1xnjik3FeqDPRGbXHO2HBwbPiza5PQh4sl2+H4YSZ2HM/Gl2XOKH12C1oNO4Amkw8hPqj7NB0oiMs93hgw5VILNjnhUjKw9X3y2A45xhaLryDVovvos9aL+wKl9oeOZ9Y6BYWlFJbXybGBAfTzu+3X8Q3G9zQaZM7vt7riaDQDFEknEP8YFeNqmCh26FDrypiVypxycSTFX7YIWooL1IlMUQ+1ds8UVsqGENY5YEvN2Qek+2PgNymKE0Grx6xdu1aaGpqii7Isl9T3f7zn/9g4MCBuHLlihC47Ls/Co/yf+RzP8rPUv4um7yvpvBqvDxQC10FlJX1RQtdGX5k6zwf4qPxrvh44ln8Z/Il/NvmIj6wpu+Tz6L5pHU4yH2UnhSVJ6oCboqzS/NE45WWXYRui1zRYvhWfDLZmZwNJyF0P7RxRL1xh9B5va8gQeGbkMhlp4ObdN5ik1JPv/LYII6Q2o3CMmmcEOfStaCH+Nz2mBC6bW1PYsVdoNW8E6g9aYd4K/uxpYdYA5fXwv167CI43IwXJM0OgHMScJh0mTP5OoM2eOP9qd74j+Vl1Jl+FQabo3GchO0sh2DcoAPsieD5zS93cf73BCf8z8oNDYbvgeZkB1zzCZAa6nJOLW9JbsB5UtW9Z29Gm9HLhTUds17YrPmbkCzN7VFF6AqWevrifiGo3s2Y6+fs2bMrGvt//etfFds8s6CNjQ0SE3mq60pUr7s11WXeV93EGlBkYpvAOVpAGcMpkusK7+PvwiHkL2wEkYWUmVVNEffLAE5GFaNUq4WuGn8hsOP2woSuqh3lXjibfDPx9mgXIXY/m+osrL7NJdSzvoCeP46HTyQ/+uRWpED8lVrupzOpe7GEnLxcGC08I4Ru46nu+GLSafzH5gzem3YOOqPmYcrRy3QQnaW8SOI8Anef5renfG7mPm7r8vjXohxq5IjrilnglItwzj6x+GKavXi4qzfNDmvoIustOol3rHfhs4k3UH/yXXxpcxafjHFAz4mL4R6eXTHZpGN8DnwoX07Sjm/WnEObKfZoOukw2k45i/47Y7DTJwkz7bxwl8jR6V4hdGbwWvbbhL/wCfFo4+E7YDrbGXcDQ1BA8RRTEvn6ZXhEFeLb6evQ8OdlaDF2Db6YuA4fDV+GaTPWIIUSwCVZII09UkMBFroMFrte3rcq2nbOKVH7RTcv2uJ6Q6zHC2fJQpdNLXSfHDUJS55Mk5f9adasWYVPU5O99957MDc3F+3W4yC3XTWdj/E0v8sm76spvBovD9RCVwFlZX3eQlcpBoSpuIVJNDAhC3WmHkUty314Z+ZJ/GfqcdQZfxqfjjqBMUu3I7yqvvldKKGzF9PfPDp5Jp10wJqLaDdmGz60dBT2meUV1Lb2RMsxW9B1iYs4Jq80n6xUpBvFlGDa4Gadn7VLV0E3veo7v3TmscRM/yx5j14NwbDZG9BxxEJscQvAR3NP4O2pB8mZOYvPJrgQSbvj40lu+GjYGlheYNonlFIei0FHJUJQR2Tk4OjtMBy8EQi7u3GIpH0hoXeQ9jBWbFvvu4C3xzvgcx5LZeNMJH5SOE//HeWMNQc8xJqFvIqRVFqSJBvjlIS6Y3ah1tQLwvjNOVuDkbux+KYIWDnuSbT0fIWqwnoJIItdPz8/dOvWraLBV45P4YmoTp06JcJVB9ddrtfcSD8KcsOtNFnoysb1IE/OF87gwGDgAT+RyUV+fjxVFKpk4aFAGNUK0Y1AzlAmh6pCV8T/soCTQibuUcX36vur28tVS9RQ4+nBbcKL67rMrMBykZqF2DQ0mHEMdWwPEPfwg1ZXfG7jiloTnTBthx1C6UYqE2xVSJ85Kqu8x57EqgvdFqsDxIPQupZnxNvVDyefFqY3cQvG7L2hCknShBp/Fi3cvrExRLfoUknYMl/zlSTTBv/Oe3Mp33ZdCkSXsfMwfPV2bPe8hwbzTuJD6734jATr51M98D+bE3h/igOajtuDeVclBuX31dwWFhdLy+GlU5zHr93CNmcPnL8djhhS2rfu3kPcgyTBr+PWncGblsfxv6mn8fnsM6g1zREf25zHW8NPYunOo0gSxcIkzewpYeCRKHw2YjfenOSIfxBXfmLNw4BOk+jfh6kXc8XbX3VX519DFroMIXZv+Iq6K/6wBVCJxGcgnUoxi2scT6IWHkN8R5ZDtYLf+CunF5ePe0lR/f55lL1I8Nvbs2fPigf07777boU/I5vSx2EBvGDBAnh7ez+yrXoUHtV+yW2bLGAfBTmcMsxvhVfjz4da6CqgrKwvWugyOBaJ/oEp94AvZ9vj/6wO4u8T9wmRq7vkJtwCU1D1ndzvQ4F4K8Vil3iQTvzjFi+0+HkDapFArD39LGpNuCjEbtvxOzDHI4UaNSL1sgKRVn5SLAtdqUMZg38pRRbti32YhV3ngrHnYijCH6QKZ4DT7B1fBEf/LDgHZOOd6Yfxb9t9FUK3zuQLqG1DInP4Oox14w5WFFEZMTs/LS8tEEKX42EJLD/9rpyUq0TMOPn1nB34ZOpZfGBN8Y23R71JDvhw0jl8MNEDNkv3IEqaO0R6Q1teiIyMZHRa44kG5Gx8NPmcMH5rztbC8gj0ZjmDLlkqKNn+kCb+6eDh4SHWiuMGXx6nIq+Pq6uri8uXL6tCSuBJquQnkL8lcGXIjbjSqgtdqfQl3Lh2HZsG/YBrK1dLIpddwNAQHLW1gfuU2UBwJJUBlyYfwZWphvj/ZFSkQUqeuD42+Xv1/WxV5btkaqjxquLFC11uA0gHUPNgdaNQCN3/jT0phO67o+3RfMF1XIrLEe28NDqX34w9vdCVuy3ztow264Pxf6NPop6Vq7D3bU8Joasxeh1WX8ugg+huLuB3tnxXcx8OScjyizsxV0OxlPbU8gLcT4iCnVswTp2PQEJ6ugjHfHc1oQTOkSk4ERhLvHSwQuh+MMkJtWY6420rOzQZu6uK0JVSLPWM4W/8cJaNvY0UiWhF+xJIafhm6k68w2v9Tnem9J/ER1NPiZ5O744/A+ulGxEtJZGuQyK+bOLl7pvvoMGEw/gv5TG/xZaXWWowZjcG7g+SuFGEVkMJpdBlyGKXi+vquQvYPmwCrq/ehoSSbOmBSEwCTtlOh6P1NCAijgqTylgldMXtIttLCq6Fj7MXmXxeKaJfv36iJ5osZmVTDsViv2fatGmIjVV4g+SnM+R26UmEak2Q27YnOV42Gb8VXo0/H2qhq4Cysj5voctHKI1vTen25L8So/kFhGHe5rMYN/8QVu85jDvRDySV9hxQQo0uyZyKRusiacv+s7eh6ahNaDV+O1qMOI7mw4/hhznbxNNjyTFho7SRSORRJ2xSektFN2POkZFngQaTPfDJxNOoNe4kWk87gcU8EItQTuTMlM6i1XTZRdQZuUs8Uf7YygX/GXcAH9jYwch6CY7H8Hkk0VBAQreYhC4fl0cZVUKORbHoFs17CsGjTTddCcX0W0DvA+FoaH0EX1odxjs2TviftSPemXIc/5ywD3P3HkWEyOxiSge7EKXIy3yIXht90Mr6OD6yuYxPJnviE9sLYvxvC1s7aM91qej6JRcxNWf0nff8eZDrG3+uWrWqxkkYeIzK0KFDkZOjUvcKyAL3iQhAJWR5W/k9h/KB7VevAO7Ewf7bMcjVao3Mts2BjZOBy/sQ/11nXNVvgtPamogZPozSJd8/fKzi+JcE/GaFLlT6IkD1vDSfalyplOJi7qSouhdLpNlgpY6VfAwfq4Yarza4fXhRQle0qYotfm56zTsY0zY4YPSCPVi++wxuxdD9pIyawnDo32ssdjk63nYNSEefictQe9hyNJm4Ga0mnECjEQcxeOlh3Ofbt4Q5RuIJKRFsqvuaNpnv+IHrD6dyUV9wmAPen3AcmjYnsMRLhKpAKYli/TkuaDL+YMUbVO6p9ab1IXSduRBuabnIzcsWb3K5s3R+heDlM3I/GemhIMttXtd+y6UgrCLi05zriS8nHkMzWwfxdvp94l0Nq9PE4Ycxf/MBPBAXTnGVSEKaha7FqmuoO3Y/ceMZvEcil99mcxfqBpSW746FixZMpafVUKC60GWw2PXcsReLe/XGAw0tJLTRQPmiEYDvSZRM7Asvo/qwMzVBjK0NioqZhylnuQpxZZerlGwvDbjuMa/JieK6x5325c77lHbxkLpqon9PG1Adqamp2LRpEwwMDGoUuLKxv9O+fXvRlflxQ7GeBXLbJpsarw/UQlcBZeX+44Qu04zKgSYkUsOYRG1LCu0SHZByiYCLuDF6Nkgil/9JlMrLE7hHl+L7bV6wmO+Ab1bdh/XJbFwnASxNxs6NGxunrZjSwt2Jeca6QmGcNifPe6hvexZ1LM/g00mOYkmGJlaHhNj1vSUtPcTh2DaTetZf4I63R58QxP/JtFN4z+oY1nmHI1iElM7ET9TlrmOy0JW+cT4VwiEiD51sVqDrDn9YXi1F7bF7hNhlkfvB1DP4N52fxe6peyF4QEfIIld2JMacTBTdlN+beB4fWF0UIpeNRfhcVQ821nFyEbOrJOXaHweuX+x0yt2UCwsLERERgQEDBlS8uWWTn3TWrl0bGzZsEGGrg+Phesyfv4WKxv0JhW6JHF9kNsIXbkFqy8ZC7J7r2Bi3+unA26QFbpq1xgULM+DIIQoon59ys6zqzIcvBzjPK+/D4rAAJHpdRkZ+tirlxUhLjkLwpfN0k/Ldw7VRrlsvyzWoocbvx4sWuuI+Kqd7jI3A/j8Pdoihr8x57FZXAe2Tj3tWi6Lb1CM4G4MP+MB8qQO6L7+B8fZpCKDfBFOJsZZ8P8t8zPc1G4Eul9N58LwPahN31bV0Ri3Lk/jU9jRajj8kxK6PN48+rsQqP0Br+mnBdR9OdBI9tVjsbvP1V8zezF2hi0ja8rk5lcx8/FaZxa4kQE4GpaP9uAXovCEYNpeAhpbHUX/8Ebxj407C9SyajT4CncnOcL8dRu0zoZTiYuNLoAz+0S4Odcbso/CuQujyhFj8Rrv2hD2Y4iXxi+oq1VCgJqHL6GDaHQdmzEWSpjbSdPRxrn0j+PbVxi2zxvAxbYQz3boAe3ajpFR6eC/KgUwe0lthLw2kBMb7eCPG+xpKih+itIQnKylAbk487btKzij3uOMLkPC4NuC3fmM/mt/Gbty4ERoaGhW+TE1Wq1YtfPfddzUOw+K2iq36uR6Xtt+CfOyzxKHGywm10FVAWbmft9CtQDnROZlMo2zc1MgxigZRgEmoSDyVVs4e+XvB0VY2VdI5xdtWijosMR0pWSxqfw1VO03gJ3ycB9KeaDp4wuJN+B9PZDXzLBpOcUA9azt8SoT6/vhTmL7/DsL4MFXSWewGJCRhtUswRqxywJQDF+AYxd2pZaKVmIBHf5aU55FApe98LBtt5pIx9fc+nIYPxzqg6eidWHUbWOt8D13GLUV7m00wmbgW7S1tscLtvOjqnEwHFlA25vOBqvh5OYjRK+2hM2ItdEeug/b43dC3OgCbJVsRRu07p4WDy9JaWT6qS/lDwN2NZfDSQA0aNKiRDFq1aiUWQq+p7j5NPeWwIvwjhO6vjfImT+ranpFPpbtmFs6ZtkSmTkNk6TZCtJEG4s108MDTg8Lmih4FDH6LUT0nnyadLwpczjxhG19Qjn8sEnt1Q7C5EdL2b6LCIDc3MQhxC23ha2AOWM8AUrmy8EMQNdR4PfAihC7fH2yVU/NwO1B513CLLz1IlERXBeQDVZC/PosxCgtzEZ8QjZRkarMUl8FnZ2OeYonCPymvMjCnBOOWrUXtSS74kldEmOqI92wc8LH1Vbw77hyG7LwATxFSYgtmS/8HuVh26j4WHL+Fyfsv4miAJOUlvpPA186zYFT2KOF2X3ojW0YJ6mafIwRtm0nrsdQrFRtO3cVXY5fDyHYb2o1dg97Wi7Djwl2RVqmFrYq7dEE/Ld4FPV7ub+x6tBu1FppjNmDM4o0IIDrnY5TpUUPCo4Quo337HvAeNQJnTXWQqNEISVpNEK2vhSTii1tnHMmByEdhWRGKVA90RE2SK1R1e1L83uOqQ3G8fE+Eh4fCr6M57lgYo+Qw8V1OLLl6UYheOQM3DHWAabbIz6IarVrD62nbABnspwwePPiRvoxsPMHU8OHD4ekp3VHVUZN/I6fp96aN8TziUOPlhFroKqCs3PLN9EcJXfEWkT4rJ9aVzlF9rNHvhZLsGUylTKks6mSiE8vx8GkVATltUnPNLoBEwIxQyo4Rs1fh35YOeJtnayaRy2K3lqWzeII9ftMVBCiyiY9kicOTSPEbXF4aiLtI835+cyvPjkzSlJLAIVVQpYf3cPJ67H+ATyc5o9XE/dCwPoKdl8Jx0Dseqy7EYMW5SFzNzBXdm9nR4OeSxXS8dH0UCXkOPLIjmHYsdIrEoBWuGLTxOlZeKxBh2bXj87Cjw5+cIj6Wr18kkeyPRG5uLhYvXlzx5lY5VoWNySAzk69UAjuqXGf5TTBvPw0qGneVkK3+vYrRf55NrSyfJ4tRwfM07vezQLpmfRQYt0C4bivg5++pgKWnwwx26pRvTZWoOF8NeNT+5wkWueJaKKlu247AR6st7uhqYnvv9nh4cDPSVszCPgtN3DZsjwCLbgi8TCTMr6QIT5fTaqjxcuKPE7qVbQDFRnt5P7e2KvLj+OUDVZC//l5jSJ/coktb3BSVUDvGxkuk8dm57ZeFrhL30gvw87xl+HjcKdSzccP/LO2E2P1w0iXUsrqC7za74RoHLMlDWVGO4BLm13CV8Ztj5r1KPpLA1y4LXSF2xTCdyoecJvuS8F8S1y3GroL25K3Yez4CRzzjMdc9EtOdgnEjtUzwaAVfqRIuPzDnd3HMuUs84jBgpTMGbziPjT65iKJrT6H9fBybGlXxW0K3sKgEHXRMcbhTByFy0/RaCKGLaTb0I5VfcYEQuZLQ5QKhTyV3Ku1JwWG5TOmTq8nv5kTVeYtL5XuwDAcP7sdV7bbw0tfGgV7GKD2yGSmbFmLfV0bwMdbHvfYmuOPDazZKx9T0JvVR4N5o3KaMGDECb7/9dkWPNP6sPgSrUaNGGDNmDLy8vKrE/1vn4t9qst+D5xGHGi8n1EJXAWXlfmFC908Ct5Eqeq/YYsg3Nc82yWNjs+jS2MqLMoTxmvThmYWYeyEFMz0eYPKZRBx6IHV9tlpzAG9OOEpC96RY8/d/E0jwjt2LT3/ehrX2btIkWsVMp5x3xUTnROBKZU3grGSrfHOtas0rWnbJ5EN2XAyA8dCp+MTKHp9ZnxQL/xsudoXtloPYdu4myvNkMc6R8jgnGRzfoyGfkZ0F2WngZl1OwYuEXAZs8pvc+Ph40W1HSQSyvf/++zh69KggkWdF5fWptthDUhrvKysl/SeZ3IW9jMeCyQ5rRCwyBnyLewa6CNZuh0ASidHaTRGn3xLYtIK8rTA6ksufclX2wJTFy4Wr+i47xHJ5sBMqQB/8hkOAfigvoj+0T1QZBj9tZuMksfHU2WwcNxtHw6aKWP4qg69NRE9hMxLScM/qB+w0bo4Ew0aI0q6LOMNmCG77BXb17YqHB7YiL1uqZxydKhfUUOOVxosUuuIhl9h6HFQ3sOo+fVJUnqe6Sf9Ek0DG4OagvLwYJcR3FYKkNJUCPxQCNSQdmHktCTM8H2CmawyOxdM+akrGLNuLt8cewodWJ/D5xFOobXka7447iPfGH8KGI3aKrtck3sU6+VIaRCvNjQufWAXVVdJv/FiXuyxL/zhd/Iv0hrccSw9fgvmP0/GFlTvqWLrhs5E7oTXXBQNW78fic3eRU5xJ55AbRul8T5Ft4sjKo/+6kOuJlINlvyl0GZmZOdB/7zMcblMbfga1kdaxOaL06iBj5UzgQSDlKc8azv/KRP2quG9kwStDjOXlGkJWkoNs4ixpbnKuP8QxMl8y+Dies6WU+JF2i584KEfJP5PJ5SmbvL9iS3VgcSnPLk4HMo3FJOPaT71xrKM24gwaCr5ji9aph20DLfDg6JqK43hmZG4nZJPBvjJDuY/X9//666/xzjvv1OjHsPHauDxGl5dJjIzkRzK/hpx3NbU7yt+U9ix41uPVePmgFroKKCv4X0XoMvh6ZCHCZC13sMpOi4V3eAKsFq9C4xHr0Gj4WjQauRkWC51w8lYUnO7F46OZZ/A/Wwe8N8kFX8y6jCmX8rHwNuB0NwyxIps4Nl6cnkcjUaMutYcSSrhR4vPT2TgNIl/l9FU3yU/wpWIYMn8L3ht7WFijSftQe8RWmPw0EWudLklB+U0biVwqQPGEWzqa/4oEVQHvUZpMELIjwkdJx/9x4DEpX3zxRRVCUM6qrOzSw2X3LPWx8vpUWypCqzCxv5zKrlyIwYzyfGFSaRDCorFnykz46mgJoRtrZkQF9D1idJohpHV9nDDXRemaxRRaGnvNcQlBKhdMtaRzLRTlQGTOViMUu4uKyJXgaJ9R6PK7afF+Wk5PcgCujfhGED6L3Wi9Jog3ao78E3spfp6aRoIcvRpqvOp43YWubNL9Kj2sk1obRiayM6JwKyYfI6avQd3RK1BvzEo0G74G7ecchZ1PLE7eTsDHkx3wkbW9ELn1bc9gnBdg6Qu43PDFA46c2qDyUoqbhS5t87l4t9iQT0WfvI95piahy8Y9X9iuxpXihzlb8MHIk2K1gsZWR1B37F6Y2C7D4QjZJ+ErrRlyeT2q3OQ8+atDrie8xQ8ZHid0GUlJKTD68GNc7KqNCJ3PEab1KY530UPmqtmUpyVUvsWKN7sqcBEoi6FC6ErClkUuW1kRly2lRyUgBaqLZDku3k0fbLL/Ipu8v2JLxev8T9TOfDqYTx3nB5+R/RGuWQexel8iyaQpUsxbIPPUFnLhQikdzKVSWrgesW8s1yflA3duN3755RdoaWnVOGmmbOzPGBkZYf/+/VV865pQU719FB5Vz58Gz3q8Gi8f1EJXAWUFf32Fbs3gJ49s0iO+AvhnAm7+CWi/74EQsR9NPITPbe3w4URPvDf+Mr6euRtX0gG7QKDX9AOwWn0aVyKBPofC0GK2M2rPOIlGC12x6Zy/6LqlekAtgU7DwlcY5aVsUvrklFa18rI8YYyQsAiM2uiCDpbroD3tCEwXOsLtxl2xLENBMUsyuh5y2oRwrh6VCvJXmeir/fyngLscL1269FddlGVjBzQhgTujVeJZ62Lldau2mJQFMTP7FSGXLIeJuJTrhUR0/Go1n7bFmQOicHnBSribdMfVLv1w99IlYj4Ku34tHE2NcdqEhO/K5RSQQ3N5EP2ylZJYFms5yefht8VUSfiNfAl9HnJF7vKd9J3CcX/+Atr/IBG+RKII5dHfLLbzUVzApZ5H/wqF8cMTYap6zF2S2ZiKK+m4EhXXLydPtYn0EKT+Yot4zS+RqN0I6SR22XIOrKaIpMmo1FDjdcKLELp/FOT7+FEm1sElk1oNAjdlzEnSH/jEF8E7Jg9muwNJyNrhf9an8P4UJ7w3wV2sy95h1hF45AIbfLNhNn03hq+zh2s88M1BfzSbcRz1ptqh6Vwn7LwaJk2CyC1kaU5F+1MBVTvDz/kkUz3glUUMP6AVpmprCZGhERi76RS62a7BJ5OOQH+NF26GhIou1gLiLXBVyOVU3dSojqo1hXmNH+g+idBlxMTEoYN5d8QtXYU9HbvhmFl3ZCxeK+LI40omHnhw+Uhcl00sl44sFJdJJipiPjlb245JRv6L6FNfSpXt9nVELF9LDo88fZnUK070jCtnNuM5TuR/UpWubvKVVaLq9UqvN6i+FcTA23owEk1aIkq3EWK1GyLZqAXSTm+i01S+aZXrEfvGSkRFRYkJpnh9W6XPopw8U/7euXNnsV5u9Thelvqpvk9eP6iFrgLKCv5XE7r8ZFu6Kkl4nPaNxL5zt8VbWu6WzEL3E+tj+Mz2phC6Pyw/ibOJ0vgfr2xqk1OBBbsv47MJB1Bn0mF8Nu0EPrIhETpiFjacvUeZJiKXElFMDWxZjph0ir/KIldKn7xVaaIbl3iLWClVWO450sk3hQDHSHDLQobjYpHLY1DEzMDsxwijBJBx0bHJjgZTEJt8tj8L7FgOGzasCinIxl2VlbMqy92GuB4+a12svG7VVg1Cl42FbnJCFBkveFGGrLJ8aX8sOcT3SXgu3wIcOEXHqnIxkbzANSQKV60A4qRj6EcpblnoslWcp5TpnzaLEejsglOdBuC4eR9c2kLxstj19oLb9GlY0r49XG1s8DA6kI4jV6+cHIKSrCcWutWzS3XVImls8vfkpdY42qkdUvSbIVmvqRC5GUaNcfS7jig6tpGPkI5RQ43XBH8VoSsEIjdx4gfpWk7djMR2Z2/UmemE2tMdhdB9b7IjPp9yVazN3nelG47FkrChsBeoITlLatZy11l8MHwjvpi0F19MPooPx+/BV7YrhNjl1oaFLrdA/N5YgE4ld5SR+adGoSsHkkFp5fM6hOZhQShwgra5dZOELsdNx6kgl8+jTI3q4HyuNBa6bNWFbm4u57iEDrodYVa/DTq00EeH9j3QocNXQHQC4petRtpC4rzYh1Q2JcjlHkUVQpfZh3vMSUK3pJzXMKDaSCL3+qnjcO4+ECfaf4OrJ+woPBW4vy8OjxmGlYbmuGYzHekPiU+FD8SQOJNNlrlcnWsyvipRvyogXyuDfCXaZqH7YO1M7O+hK3ouBbWpg3jdJkjQb4ptP3ZAuvNWOkRVhwnKN7i+vr4YP368GF8r+yssZmWT93388cewtrYWvdXkJRC5PnKbI/vaaqjxoqAWugooieB1E7qPA5NmMrV/u+9kYOKei5hsfx+bfXPwha0jPrPkGZXthemMXYv5Z8Kw2weYsP0Oev7ihsHbvXExAlhtn4pPrfajju0h1LGxR4PpTvjCag80Fjshn2fmJfDsu9xlJrM4lZp+buylf5WQG2LJ+Bc2uWlGEQsbIh3xFJt/YSLJR2GJZNzthxdo4CISxVTNqsb+aHueqF5fZKLgRp5x7do1NG/evIIUlNakSZMqXZWLVEtNcd2Uj38mVMsfmUClcdVMSNz1PBO4E4jA4eNw1soSCOUFOagM8lMQMmcBHPp9B7iQyH0QK0qUj5a7wnNmirf5FUktIM6kuA8fBjaSYMwKpgAJdEAceRPkIJ5xRKH1RNzX0UaggT7uGRkBc+cAX/VAQutWcDczhddXPRHjf4viYqIksicRXtkxmrt+0Tl4siwyTgWTOT8skZY1EomoRMV1qz6zy3B78z7EttNGgpYu9vW0QPHB7bg59lvss2iF28YmuG9hAR9+c/2c1rhWQ42XAa+y0JXBzcxvmRARZDy6hZ+HMd9NO34Tq93ChdWf4YA6U07gY6vDqDXpELRJxE46Ho4NF8phuTMM366+g2E7wrGbRO+Usyn4dMI+1J9ynHjyJD6zssNn9L3lHCfRqUWcTrBRLorEyVl0MAfSftaznI3caCmtIqESioup3eL9olVlEP+Vp6OQ9gmjPeJnFeTyeZSpUR1FlC+UiyQ8hReUk0KZnoVPP6ov/Uxgkfvf/34CJ+dz4rsOieBTa1YQlaUwCwqT5zgpok9+bM/9nQr4oS7/yOV59SrAvZEyeKrMVCq4JKLVaOCUAzJsbXGrLfGdvinCLcyBFRSuuzGS230JZ2Md+A/uh8SkcJRRGrkWcI2SC50/uFT5FNIuFsOFKCrmnk7cY06qb+IhiqK+8S7BXnnluLP7CILb6CHOsD0O9++E7H3rcHPiT9hu2g5BBmbC7vsy30pgoco+y5AhQ/Dhhx/W6Lewcc809l94/G1YmFiDQ0BdD9X4o6EWugoob8C/mtDluXHXHLCD7qil6DZjOxacjcKWO7los9hTiN3G05xQe8IxTDvphx1389HZ5gj0R2xD2/E70HzkJnQZeRB7L5ThJ/cUfDBuJz63PoG6U06hjuVu1BqzRUxhr0QBCSh+dsqTIoixIhUQrXKFVf3Gf2TCZ8gtN5NLqRC6PFGSNJlDDaDd1eN7lL0IyPVGKVDXrFlTZbH0N954o2KbHU6e/IHBx7LI5TrJ28+tDnI0ShNUypaPvKw4nLPbgbx4f+QvXI5Tph2RuGsn4HoGyfeuoTwxFAe79sTeTl1xqndPwPMiS1shdouZbMupJLh4VEkV21RO3tfP4Vz37nAwMcHlzbPpdET4GYE4Mnkw/Ht1B9xdgNmzhND1MzbGbX09pGlrCbtF9yJOniRnhBwT7s4uHnhU1qDMQp6chb6TgygjJYMcC1GqqoQoUXHdFIIPYc8xIBp5HboIsZu1Yy15OskUSQC8Rn+D861aIa7PN0iPI2EuL4GlhhqvAf5KQpdv9V17HdDmx7mC71a5hmHvzXQ0nO0khC6L3A8n7Meo/f5Ycb0QXWycYDL6KFqNOIw2o4+h0egt2BAMDHZMxMfj94oHu/WnOQqh+yl9L1K99JK6p5IAopOzMOWcY/HBWSiykROitIqESiKX5yCoCmr3SOhyfDyDM7d+bDLk8nmUqVEdMt+VojgzAd4HtgMh9/Dx/z4TvwqR+69acN+zGc2+bCn2cXfl2h/WoXC3RN5nUTlJj1lZ4Epjcxm8h8sy3P0yLnfsCA9TU5xaO1MMi0FWDA5P+hHXiAdZ7GLOQtzXMcRtLU2EmZshsXU9pOs0xc1vegCXzwqRW07eDXeGz2L1zKcoKEN8UraoB/l074rzUZj4BJ7fmwWvJHRFfWOuEj0GaDcZ16oC0bWANu6HIcWiG2INLFB0dCuJ3wQgMRieowfievM2yOz7HQWi+pubLd7I6uvr480336zwU6obj83lMbrr16+vsioEo6aH8+p6qcaLhlroKqC84f5qQneFH/DZ0I14z+YcPpp2GbscL+JOfBZ2Xw2B4Q+2+MjWFc1/uYVd1IZ2nueIulZHUc/mGD6ebIcPLI/gs4lHUH/ySSynNrzVTBe8N84OH1udRlfbU1jgkIJdpBVmemXC2iMBm6Mglvnhbs/cXqveb/6mybqFSyGE2s6FF/Mw/Uwq1t8mfUX75Dd6BaU8tUcleFs2junPgLK+yNu8aDo/Ef3Pf/4jSIMFrjx5A89EuHXrViQlJYmw1cmB43judVDOJHkSp+RE+C5ZiIA2WsBPI4HTJC6PHQY2bcBdMxN4dDAGDu1G1rpF2GOqgXM7l5LKDKcykDvBc6kWUtrzhInXJyLJ2bA7vgt+GroI0jFAqHE7YMpYOsd3CNNqRaJWA2kDepN3cANJs8YincRtUpvWCKZwQUZtkel+nOJJp6gK6Uz5KKQ4hVtRlIHkA9twa/ooEqVUScuYYMkpvOSCC8P6I+PwCSLwSqeRj2H3RlQaUbc4j0UGCCu8cwEhDntQnE9OhUh3OfLj4+G6ayNyQ+5yAyGFFepYBFBDjVcar7PQlVojgnR745e7JWg4diPenXhUTDC10s4Ft1LzsN/DHxbfW+M9Eq2NVlzHoksP0WWBA2pZHcbnU0+goe1J1Jt0DLUm7ITWSg9M9wc+mOiA/1i7CdO1csPkUwXYHkrN2pkkzDybAzviPl5Cjx9Z5pPaZS6r6J0sKxFuR8jkdPLDWm6juJVJyM7HrPM5mHEuG0u9gYvidykcz+3LJkMuH7mMlN/lfWrUgLhbCFg4Af6G2ij68Xt8+sEXksh980McadkSN/p0R09dM1y5ckMEb9emLRyObZEKSFWEVcCiUvVpv2sPInQ0hYUZGwDjxwATJiCBRK2zfmtEDhtA6tkH92aPQpJWC2QYaiBJ+0vkmLZG8Q0q7YI0Ud7s+xQSl/JDZO7ZFrF+NRwH9wGuutF3wWbE0Ufg3qcX4O5OgvqhSB77RpyOCrGrgqgPql5JabduIPCME4Vkgcw1j+ppxgN4Hz2ElJvXsX/fLnRsb1pF0MpziSi7KJuSmN+0aZPwXbjnGp+jJnHLUNZLkRY11HhBeG2EbvUbRf6uvMl+64ZTfjL+akJ3+IkotLI9gnesPYTYHWI9F17hybidDey9FoZGC69Dd3MIpjnGQ2PcLtSeeAhfkMD9kATvOxMOCJH75bRTGO+RB7NVXnh/wgm8M+YY5p1IgkMYoDv/OJpY78AXI9ei7bT9WOvojgjKRn4SyUal85vGfxm34vIwdv5GtBi1E/UHr0frMQfw7XofRMVLEwTJXVWrg0vs13v/OCjr3vnz59GqVasKcmCikEmjbdu2uHz5siqkdJyyLr+wusfRClMJ3Xu+2PN9fwS100WErjEyhg8Fli0WItfHUB8nddsifvwIwOMkEhdPA3J5wgzuLiWDBK+YPEz1KIP1IGVBeVkW8vNIwM+ci3BDU0Sa68Bft4UQuaGaLRHa0YQq3DbgigNu/9wbmbo6eKipKURuhIUO4ux2UqVJRGEpd6lWTTxGln1iPzb37oxNHTRwedIQFIfdQZrvZTj274H9nQ2xtVc/FJx0ppCUBiJ8dguEQOZiEUXDCSxBeTF3sadfy+haStMoK0QogpzvdLZSEtAsdHk8HR9MDurr2Cao8WqA697j6t+T1E9uX/4qQnfQ/ltoMHo9PuO1cK1OoNeEaXC6F477qYD99UjUWXgBOruCYXMyDG3HbcXH1kfw6eRjqG91HLXHH0Id2wOoO/UwfnAvQe2p7vi/CY4kji9g8SVgG4lfw+kn0OjnzWg6cg+MZjhh1+GjSM3NF2lhPE7oqmQLQh6kYNy0WWg8ahcajdiJVhOOove6WxXhZKH7qDJ52cvrj0T1vKiSL37ncWyAOfz0NXGLeMi4TiMhck/pED/ptMMp/XZwGzQQzWo3EsEDA4OJq3XENlMCrxBQJZflL/xGPod40NZKCN1APW3cadcaMe3aIllfD149zIHTR4BrDvAY1QcP9dtWEbr+B/gNa6oYWsZz/ZcIzitBzOZ1WNPRHDs7G+Hs8IFAcAhizp6FXQdz2HfqgMP9+gJnXEQSRFJUQreMeUshdsXEj5wPPI5YzM3Bkpp5LR+5KTHYO382ujVvgn/8vVLgslWfUfnHH38UQ6wyMipXJJAh57PSB5J9GaWpocaLwmsjdPnGkccvKm8cFqsyeFbb6lDeaPIxjL+a0B1/+h7aTdmMDya54vOpF1FnijOMN/nhSlIGLj94iH03SnDQtxzT3NPRcsI+fDj+BOpMPoN6tryeIC+3YI9G089gwtEIGNgcQ6OflqHjvGNYfBPQmu6EDya44MOJrnjP+jz+M94Vn448hqmeEkHIS6X+FjhMUko6Gs92wftj9uHdSfb40MYR7493xnvjnDB4gztuq8IKp0EFKlXVP9ot7frDIdc7rjc89X6tWrUEOVSfXXno0KFi/Vwl5HopE4OSLJ4rOINEteb42XIQ5uMO335d4W6ujVR9LWQa6yOmrQZSDAwR3rc/sP8QYhYtJieBPLscIrikBCooomQWi4XcGZ62Y0kAp/A8pISCfDpHJnEqeZMZkbi3aTHCWjVDFBF/kEEbBOi1RPKB5eRFnAe++h6JWua4qWOGkI69EKhrilDD9jhnYYLCOdMp/giKMJ6STKIX0Si+fArbf/oaobq8lq82Hlpo4oFRK4RrtxW2YGB/FN+TakhhCZM6bciVQlQXaidEN2j5+quhev6wlyrqmfyphhp/HJQcpNx+FJ4kDLctr7rQlaG6SyuMvQC2YnLk2YY6RaCBzS68Z+uM9ye7oLb1HhiuuyBWCLgSXwznaNIJscAk9wzUJoH5qY0HPrZ0Rx2rU8K+sDyGlnNcMcUjFg1GrsLnA5egw0IHLA8AtOc6id5Mn1g74n+2p/Fv4sZ3RmzEEo5cBjcZovmgP2TypFTcT4WNx3imZKej6WRn1B1vh48nOaPWRCcyB3w0wR4jd5wCj5rkcBz+VSiTPxucR0p/sGqelePmRQ9c7WiKixZGeKBLYlNPE+nG7fFAh74PHQScOg7Thq2EyGVotzGmvzkkZuleyeZP4g9++pBDfiiP02FjSuHTxEcidMEs3NFojhBDLYSa68BXqzlwfBNw/TTQcwBSdS1wU78X/Cy+gy/x3V2D9rjSXh9YPo/iJX4t57e5RKMUX/ZJB+wYMACxFEeCXmukdNJEjEkLRGs2QbxuC8wc3B95gXcpNCdBmvCJ72+lyZCWspK/lyEkJAgzZ03Hv//zVhX/5P/eqNxmq1f/CxHOx0d6y10T1PVSjZcBr2XXZeVNXB184ylvPm4A5O/V9/+VhO6WiFI0Gb8CH1m5410Sj5/bnMZn1qew5bwnFh47Bc1BK9HVar8QuoazTuETInIWuvUnOxLxn8RnE+3w6YRj2BUEbLoDTHEMw7aAcsy8XIJGYw8IofuJ9Vl8NPkSPrS9iEbWzvhykiMysoggngCc41c8vfGp5VE0mH4a75OzwUL3M9tzwvQmbsDeYFW5s/PAB5Dxu2DpH2//caheRxITEzFhwoQKklCKXO6+zGN1lbMZMpT1kus0f9ZkzwWq/JJyiU0lVN1O4EJHA6QZSGI3VkMT+Lo3EbQ90keMxnYTU0TNX8hrYMDv6CGk32HS4wdOhShJi4Pj4gW4vHEdkEACPo/iK+W3vnQvpYbBbdY4pJsbI83EUHRhTuhCjsONU/BdOhGRLfWQoGmKYJ7R8gg5AtPmI0DHRAjdK106IOEW7UMSkXgMOXvkkRYloeyqI9K7dxdiN9GwJWJ0myBCtx2SzI1IPN+n8JJDWSF0+TLZ2WSrcIUfUVOq50/FKxnZ1FDjxeFJ7nOlE8942raB25i/itCdeiMHn4/fjA+nuQmhW2/yfnxhuw8HroVj7j43tB20EL2m7xNCt/W0k6g1yQ2fT76AL6xPo7alA2pPPIIm0x1xMBmwdAnHZJcYrPApwHCHONQZuQOfTzmDz0ikstB9f/oZfDR2O0w2XEVuHrdBlBC53XmE0GVxcuHaFdSfZE9ceQq1bd3wiaWLELr8kNnIchEOh0njH3NLCp66TF6FMnwRkHlUBn8X/iJPcMk4cRiX2xsLoRunSQJS3xTo+z1wzgWxJB7XGOvhy4/qYdjXQ7BryjzEh/pyLHQ8lWNKKhxXrEesxxXaR+cooji58jESonDTajziO5sSz5nDz6ANojoTL910wd2pw5DQzggZhp0Q0XMYsMcFGGsDbw0DXDTVxvVORgi8fY0ikcbh5nGcDx8i39ERWR30EafTAuF6jRBt3FyI3JxOBsgNICeMahE/CMkpzq/i5yohVrQg8Eui48ePY8B33+LDD9+v8E1qsiZNG2H+/Lnw87snjq0JfC42kbdqqPEn47Udoyvf1MobTW7k2OQbn9+2ydvyMQzex/ZXEbrRZDO2n0ab8avRetwqEqe70GDUdljMO4iDccC+u8DUI2HYQ3phgXMMWo1ejbbj1uPzcXuFaY/4BRuvpahEgwTm8J/3haLZqL1C3NaacgUf217CZ9M88dkkd2HF+dwp58lwx8cb7048jY8nu4nP/004hQ+sPPCh9Tl0t1yObRd5NmACCRDZsZH+Slt/FpycnKBL4ktJFrLQ/fLLL+HsLHWpVUKuY39YXePbhEz1AWSnEqOS2HU5igud9PCgbUukaWvgrq4m8gcNADw98WD8eETod0ZAO1NkWk8W4vf2hFHAtYtAbASCbCciwqA9grWM4bZ6AcWZSJFnkMiNgNeAAbjz448Aj3Ny3Itr31rgtEVrBEwdAXidgfeQQTjTozuCPF0pMbnExLm4tnUDjpt3Q8q8X6hIWTBnk6SWTHp0Tpi7Cjd0OyLbqDXS9ZqBZ4zEhq3Sb/k5yCrjNYB/B7gYfsvUUOMFg/mIHVJl2yA76vI+/l3eV1MPpt8CH/O6Cl3OCSk3pD0PMzKwYtUq1J24S1gtqxP494i96L3YDi5EY/sSAGuXZKylZrD/6Ry0sdyBL4evRd0xu4SQ1Ru9CuuvSivmyiguyUfHTd74aORW/GusHd6xPI33plzA/2w8KP6j+NTWDrmqZ2wyLck9l1lmsfEYSTZ+VOh+5QrqWDmjPoncdyd74G1rN3w4iYQumd64OdjqG43c8hLxEvFJoaw7fxVUr7Ncz2VU3Dt5xCHFVAJnToi3qKF6rRBu0Jb4yxj4YSjgex9Z0+YgQYuEpYYeEqZMoAJyQNxk4qurTkCwP9InjcONdo0RZqGHh+cvE23xm106SQ4Q8d1gxP/4M3DXg86xD65dtHDStAWi540DLp/A9V5dcbVHZ9z3vColLDYG5+bOwa727ZC+fh5RHXEx9ziSKzRHyry3aC5uG+kiSb8J4rQbIJHXrT+wlwOoFLEq+CPAk12ywO3UqVMV/+SNf3D35Mqxt2+++X+oW7cOVq5cjqQk4nEVSnjZLrpIbptk5OdLwloNNV4WvFZjdJUNmNIhkCH/LovY6lCGl8P8VYQud5j1Jz1h6+iPrkuPwWThGXxPqnbVrQxMcQ7GwF8uYJZdFGaeDMUO32Is80xB//VuaL/BG6ZrPLHFKw08gTwP8xBtnwqTnR+iwU/bhNBl+8DqPD4hwVtrnDOazvZCKXdnZUX8WJQjLMgPH9qcERNj8ScL3fctz5LwvYCe1ivhGEKNv6pLqZiRkoxn5ZVm5v3jwXXwwIEDj5yhsHfv3oiJ4RUSq0Im3+r1TN5Xkz0zOAryuPgOEXfJjSvIOX8Gt/p2wvkOukho3UII3Xt6WsJiRo6UJrwYPBbBmuaIHEokfvY8zg36Fk59euDmqKE43tkCcaZdEW3UEUH2RL4FPPtxLg6tnoe7P/0E2NvDf/g3yJw3EXA9gPvDeqFk10ravwM4aQ84kwPB7l8JkXwhlS3b+eskhO+iJJ8n6ipAHjLAk1Llpj9AfGQgsGwzfEh8J2s2RKp2E7DQLRlCaUsn75WuLJsqqFroqvGq41GO5NOKWyW43fmrCF3+m5iUhIkXHsJi3SW0WX4N5juDsO12LqyO3EL31Vcw0TER357KxoIIYLFXDr7ZeBH6C1xhRlzIIlcsmCLWSGX+kvJk3PlMfPDzZrxv64x3rRzx4fTLeId7HU05gcbz3YTQFXPiqexRQpdjvBcaJoTu5xMdhcj9n4276BLNZma7BKcSCoTI5dXon6RclGFehTJ8XpCvW75mvneYm2Xk5uai+PoVZF84C5/u5uINarSJJvxItIbrGwljkQvPm8D3PyK4SSsEjyX+IqHrPbA7rn7bCRFDBuKyhSkCjTURZKqFBGfixgLpHt21dAuiBv1IAvQILoz6BhlbFwLHNsF3SDfgwlHAaTf9tovic6ZKyuKYaievTxVJFc95PxBwBWWZfD9S+uXqlpOAzLBb5GBZ4qauBqLb1UWibiOEE0eXfNMbxcFRIhz3EqgJKSkp2Lx5Mxo3bvyrIVR/V4zHfe/9d2BkbABXVxcUFjJzyvHxJ/vc/JJI3XVejZcbr5XQVTZm1aHcrxTESijD/NWELlO/9E9yBY4GZWH1hWB03BKE+jaOYuKpj8fshcb4Tej1i6N4h1b1STIdxSqXs4YaWDmHbsUCP9huJGF7CnWsXfGu5TkxTtdw2CJs8Ih8irxk0ijCsLVOMByzkoTuWXw69SI+nXQCtcYfxYptR5DCHKGKjmcaZJMaYWYG+cqeP2q6hpCQEIwePVpBHpVkwsJ3/vz5qpBVwXFxvaspTt73KHsu4GxKyUXA4dPAlWuwa98Ridq6iNMkcTuYSHnvKvh/9xUutNeDq5YOciZZodjnEk4tmIoiTzfc2rwC8S2MkK7dERltzIWd6dmZKhORNeKoCHnCqkwgmz6vXYTv+JEIIAEdqtkWWfMnkVAm0h83FjdatcSNn39C/tpVyIjjcUY8e2QKlR6R/YVzuNy7F2J/IEcjjByBgodAhB+KBg3Fg25fA1ddkf7LbDh2+wrXBv+EBJ0vhRNwwXI6EJ1cUQu4NgnH90mrBWfxb5kaavxB4Pu9Jg6T9/HvNT3ofRxeJ6Ero/L2VklJ1fJCyiWw+d3YFI8cWLmmw2LtdXw2ejfes3UT9sGog+h1IFpMBsRuflIOL4cn3fL8KdoR+iKvk3s1+iEGT1uMD8cdEMNsPrJywQeTnNBq6DysvZaAfAongvJEdmyqBMp8hXI6C5nEdsDP61xhMm6tELnvT7uAL60d0YCE7sKjZ8GtKadCzML7CLxq5fUiwNdf/X6Rv2dnZ+Mwr+l+xwcnvuqGB5otEd2yESLG9QX2/SKGypzvYAo3A0NgwUIk+VzHoWWLiEt8cXXZZKS2roscnSZ4oN8AsVp1YN/ne+CIA8XMeU4lyBXHKwzwOAPHAd8gvF0bxOpoI2/rPCD4EjB3Brw1W8N31M/IXL4Y2WnkMPFkh2U8KSLVD6dDuPltZ1ybMAZITSJVThFGRRNPWpKgbg9s243gCda4O/QHXOnbGzEaDUjwNoH7z4OJw6V1f5WlH0acOXPmbBK4TSv8EeWShrLx29wffxqCixfPq46UwbGpKq3KZKEr17PH1Tc57PM0NdT4Lbx2XZflBkz+VD7hlvfJN0b1p+LKG+avLnQdIgvR3nol3h26D5+MPSZE7idj96H1mHVY45PDckVyHSh7mejFa1w2wfxlFcTPToQvaZz6U8+hru1Z8Va39iwvbL0UiwBqx588L0tQWpwLT1LYQ1Y64LNpl/Dx5HOoY+OAb08kISylUNC9/HL4jxS61eHl5YVmzZpVkIZS5DZo0KDGrsoMzguuc9VJmfc/zp4ZVGbCc0srwKV1O4FjdsDO3WLiKfQiAblvNbB9KWC/H3f7dYOnOZHsgUNARjzwIJwSmY3o47uRY9C9QujmaHZEzrIFQDq/feVufqm467IPoReOU8V4iJx1K8RMlDEGunDrqovbP/TEPW0thJmZYA/ti5o+hRwFXogqi8oyGf6Rnrja52vYGerhsrEp0kaPBQJ8cNlyJO5o6IlF931GDgTuXwfu+gNnPJDXSUt06Vpl1hW47ENxSbWAWwW10FXjVcFv3e/cXii5TeY15r7qYX8LHMdfRejKK62wDmHe2BYJNJtwCB8M3YIvrQ7jHRtX/M/6DD6fdAJLSKew6GShm0VtJH9yU8m5zMZcp3p5J+adv5NaiIYzHIXQ/djWFfVnXxYi15MaHD6XCPoYocvn47DnU4HBy0/hHeJONha6fQ/E4TYRqzRtIZcFp6YqXrVyepGoKS/k79x1d9++fSjcthH+ky0R06ox8COJVdc9xHWbiQO3ijkhzhoaAXv3kdAkz4et+AHSnfYi36C5ELrJhg2F2E1ds4V+V5VHTjoit59E8ZmbRH2JSF79C4JbNkeCvi4OdG6NqyN7wc9EHwFmhthnpIvEeTOJKvnxBR9fgNSEMCFy7fSaYZu5CTzHjQaCguE7ew78jczh3VYLd36mfV63SMEGi+X/Ms3bCaG7xYLS68bzWEg15Pp1b/Tr1x+1a3+h8EsquybLxhNM2U62hqfnFWo/5AcoXEk5FlVlVZnsWymF7p9laqjxW3htx+jyE22lyFV2VWGwM1D9BlF+/6sJXZm05XaMlw+95RuJAWscoT9pPSysNqPPgsM46HoTCdT+8cx/HL6UAueXFSCnLB+55QWUZ3Q4t9PcpUt06xKBxP6w0BhcOn8O+bmkVvntL0FuqJ4kTyUZTmnLK0RudjpCgwNQwuckU3bR4VC8niv/+6OFLj8d/vTTT39FIGzcVTk1lbvvVgU7mHJ9+z0il+1ZwaVRcbfkFiBl/Urg4lngxG7g1H5g6LfgmZHLj2wEPI4i5RqJ9ZJkOoavhypL2B2ET5+AAN22wuTZJSP785p+TLgJiDy9Ebe09MWT6EwvRzosFhk7FuLwN4bIbNsWqS1awt9AH6EkdC8uJpGbHEr0mkalmEJh44Rzgd1b4dirG/yM2+OmtiEievTGXdMOuK6nBx8jY4Q48/gkfrxCZV6eiyxPd2waPQR33d3oeGk5IpHDXCXYeMeTZJ8c7lGmhhp/AKq3D9XBbQE77/ymisFtypPitRC61e9H1Xdu20T7JnodVcsTVZb6+4Xj23WuMJ62B/WnHEWTWfY4dN6LWx9qKzgSCqiKmz9EfER2ZSXkW/D4TjZBfuUoITEdHBosxtmm5uaisIz8EWpw+FSCqzgcW4XgpdjI+P0sG8efz/Gx3C3hJdlK4XvLD5mksfJZaROKZB2igFw+L3UZ/VlQZIlYZkf1nX27y7PGIPngOiSvGAtcO4j0n77CnfZtkOxK3Od3Abk3LgHZSSjM5Uka6djIYDywnYgQTUNEG1ggWFcXEUZGCOrXA7jiThwag/Ati+Cna4AgAxPEn2ZeomMXzcQ1U12karVDskZrMQwo2NQQbhvmARk8LTe/zSVOLeZZlmn72BY4f22Cs0Zfws2gHuL7dcIds3Y4qNsMDhZacPM4w5dQgeRzrtg8ZjjueHnyReL6zRvoP2gg3njj/2rwSaQ3ubxUUIsWLbBs2TKqX3x9DLmd4Uxi4+/Vxa3SKuvdn2FqqPFbeGWFbvUKfubMGSxYsAA7duxAYGCgaq8U7vr169i9mxx2guwoKI+VnYHq+9heF6HLaf4tJ4lzQOSC1J7RtVOTS+3sZeLwbfdysfXGQ5x7KDqeChnBQpeJvgBFQuiyyOX5LCsno6Vf2aGQeL8aKIDq98c5bjJY5FKJC9+gpIS+iVkS+dgSOkVhxSn4k43DS8K4uv02OJ/k8n2acmbH0NLSUsygLBOJ3CXorbfewpw5c4QDyqheFlzP+KEM71OeU07Lk9izgssyjx0uErkCQffgYzMB2LAY94f3F2vdpvQ0J716H7hFRJ4WSgfxm9pspOVFIHjyGNh1NUa4iS6SurUHfvoeftqtBakH9+6Kktun4bRkDEItOsOzZTscnj2afDgSr9HeONhbD3la2sK82+a9170AAP/0SURBVLRCQo9u5EjcIY+O3wJzt+Vk+iTyz44kZ4DczgO7EdmlF+J6fkPbR4FdB5A5dCjo5hfpQT7FK2ozeYR5FD7Kn7YJRPxS3SDwBct180myTw73KFNDjRcM+cEttyO8FvfixYuxc+dOhIdL69bIb3CvXbsmeFDGk7YP3P689kJXxTs8Sa7ovlxCPypo4SbZrhBgqi81J0T5/BhPCF0WuWQqHStaFyk+ldAtoraG4+YfBQFK4MfrIhyB5IAQuU8idDmsBGqPy3MroqwITia4tlpZvPTl82eBs0S5fixBrCsr83DcXThOGIiCbdNwc1wP3DJrieDuusQdVCN83UgNExfl0z1RkoeCnIdImjwJp030EKVvjqzufZBDPmKAlhYuGWshYdj3wI0z8F02GfGdu+Oeth7O/cJL4lEciZG41ckEWQY6yDUxwB0dDRQMpvAp7LOyj8lCky0XZTnEryx+7XfAq2tbBH1nBuxbT5y8CPd+/pa2N1A4vjSqDPJ7nFLyxbyuYOeGdRjY52v8639vCx/kH/+Q1r3lt7iVovcNmJmZYfv27RUP4HkcbhHPFi1lmPisWdhWt0pf5M8wNdT4LbwWQvfChQto27Ytunbtim7dukFfXx8eHh7iN4a9vb0gb0Z1YcVxyA6E8oZ5HYWu8g13dXA7yQ+IuesVywoeIaJ6cEzNnfJ6qzZ+0hpsRPtMIhzsae0J8aR5LqXu94PPI1v1uiKj+jJAQUFBgjAk8qhqTZo0EQupy+A6Vf1a5HPJ55Uhf38Se1YQVZLQpfrBVYQHkm3ZDp/2nRDaurWwdIM2yDTSAHYS0Ub4I8TxEIld7mZViDs3zsNbVwf3zE1xqI8RcGo7OQ4BSF02Ay7mWrAjkZy5bzmJ5NtEzltxd9JIZCfwMkQPkTt7Atws2iHcSBNBuq1xr5MpfM0NkLR0PjkFPBc4EzAR/5WruD9oMIoP7qa4wxFobUXncQDmLwMW/kLC2IsqcRzV2Qiqu2HIoyyRHoVwzWa3lK+Q6qrYVwM4C5X2KFQP9yhTQ43nDLn9vnjxIlq1aiW4jmdLNTExqcJ3Bw8eRN++fcX2o9qwmsBhXz2hq7qjq99/1YxD8UtZlFYyG38NJQsgy6Yv/AC3KvjNbBmKS0sqBaoKyraX7WnyuQo4SoWpruaJ8XKVxUsMVf6qPgRE3vEtxU/t18yEd2cNJLduhrR2LZFm3hqJRk2BZSRQL53G7eP7qNqwd1SK8IseuKFnCh8Dc/jw0nX2RwB/T6QsnQo7My0cMmgNHNtDjlQUyg/vx+0p1rTNtYx8yEWz4WlhiDt6bXDfUBO3u7aHdwdjpGxcQTSXQNHzfUc10dEdN77/EXA7SHx3BwnzRwIeexE+tAuw3JLE9zmqtMyPfDXMb2VIe5iCjRvXQ0OjbVU/5O/SW9t//EPqqvz222+jY8eOwi+u9Gs5Hhb+HBdvS9/ZqgraF2NqqPEi8cp3XWby/+6778TkPiwieGpz7j7auXNn8aSKYWdnhyFDhohthtyNWSYomaSUpPG6CV0GX48SyutIIv6/eDMCW05dx3q7K3C/6Yc0yhYWuYXEBlJjJNOw1AhWaahesNB9UjyvaOW8+a2y5nrDdeuTTz6pSiwq4wcvYWFibk6Bmpwhjv952LOC+V7UjpwSBNm7wNusPbxMLRCro4uinl8hSasZolvWh0dHQ2DzKuABXVcUr01LpFyWDezagfDu3ehm2wS47MHZAbR9zh6FC6cCaxcBYZ64NZvI+ig5ALlE5uVxpJOvIvDHr3HasDmizfQAW15q4SywcjEOdTBB9FxyMki8JoRfx/nOXeBsYooDX3WWHIvQEDz8ZRku6pvhullnRGycA2SEIBuSscjNotu8uCyP6gNfnVroqvHqQslTAwYMwJIlSwT35eTkwMHBQbQ1Mt+dOHECP//8s9h+GnD8r7PQLWDaVwndlPQ8eN/yx/xTdzD35C2c9bontX8V4G+8mm0llNsynjkvakhnTedR4xlRLX8ruDirEL4OZ+DZvg0um7UQQrfM3Bixeo2QYNAETgbNgfULgHA/IDaEDiwkyssA5iyGvwVx3PFDoofRhUE9gOtnULhyHrBhKXDrCi4M+w5F+3aRgOU+ASSSo30Q/9P3OGegCX8TbWAFxXvzKkqnWGKLhQFCF88ivktCbmIg3Lt9jZOmHbG7my5waidx6T54D+9G6amLc+2bIX3/OiDyFrIePkBIwB1MmWKLzz+vHDLFMyeL2ZPfqPRHWODy8KkrV6786mE950qlyGXw5x8jctnUUONF4pUWutxYsXgbPnw4HB0dxT6ZePgtGj+12rVrlxC+AwcOFPsZsuCrTtrK7ddR6DKqXyODG71hR6LQeNwBfDzuJD6bcBp1hm3CKPtoJBWUIoMOkRojPpYJQvqs0lD9XqEr20uAR9UFRvXv3H1w0qRJgkDkJ6WycVfllStXVhmPK+e17LByfM/TnhtS07Fv+Src1dEXFmEzHLh9EQlzR+BYh2Y4r6eDuCGDkJ/PU6FkEjGTpGQrTgaSg4CLJ7H7GwuEtNVAXvevgEvORPqXkDt6KDz1NeDe3UJ6K+zsAL+RQ8lR2ASvid8jeyeR/vkDiBzYjxyHnYjesQEulqMRlxaErOIEhI8biVNmhogxN0da9+7ADz8g0cAA90kgB3UwpjhXALtX4caCCeQA3KACo/zm7u0swnmsk+TeqP7WAM7CmuxRqCnsk5gaajwDuB3h2dxlvpPBfGdO98aePXt+xXdPildb6NL9rrQyUrVs8lgalfE7uSjSuj3WXkfzSQfxnu1ZvG3pilYznTDqTDrKi4jL6HDpwVgpCoqLqrzJVePVBss7NvHMg3eEpuHmzFW4qdcSt43bIX4K8d15O/iN6YHj5l/ioqEGUkcOQVEOD6MpQVE5z/NQhrzCLASH+Ysl9o4TH0Wb6yDj644kXF1I8J5GWo/OCNbTxL6+7ZF/dAvxnB3Kx44Drjojf9pYFNqtAVx34MHgASSMV8N3+Xx4TJ2E0sI0pCaFI952BuxNOsBfWx+pPb8GBvdBhFYz+BnpILZ7RwTt3o6TU6xgrm+Kep/WreJ//OtfVZczbNWqBWxtbYXAfRQq/TsZf5zIZVNDjReJV/6NLos0fqPLM+dVx6VLl8Sb3R/IKX6SJ9xKAn9dha4M+YkmXwt3YWlheUTMOvmFtQvq2Zwh0bsHTSbsheMVL9GNWTgToiFUfkomGqpXWOhyHnBZy+XK23L+MHi/8jt3VebugkwiPKMyC11Z7GppacHNzU0VshIcp/KTwfE+L3tW8HglGQXRcUjt3RcYNZbI+Chip/PnLmQun4SQvn2Aa7yoPY/WJhHJMzPmk5BkoctdjO+cx95+HRCnb4hYPQNc6N0RfiO+F92Rb5jo4uq3PUjk2iFs4hicMDfE2aE9yUt3oJv1MBwHt4e7Thvc6GyGUlfaFxdGrkU6OSQZgP8dBI4YilASt5HGxojR1gYL3ZDOpsDm1SSO1+NkJ234r54OPAymtPD1UL1kkasWumq84pDbDW6HWMRu2ULOs+q7fP8z37HY5d5LNfVgehw4rtda6NINyK3UtpPnie8Oocn4/fiflRvesXHHl5ZH8dnovQjg2dqF3835zcfwUWQv1TWr8XshC13u48Mzbgvn5k4MAjrooXQM3TNnDiJlFvHd1UMIGPcV8Z1qcinR3Z0nFSug+kD3nIiBcPcu7Hv1QqhhW4QbtYPH9x1xYXAX3GvXkrhKB3ZDiN/cjgA2k3GlTVtE/NgbiLpLHLgVm7q2wkWdtqL7c/LhXYLvpNTRuUKj8WDqbATqGSJI3xhxBm2E3TPQRCTxozXF3VwhZmsynkF5xYpfEBf367X6f12fpbouge/xmgXpizI11HiReCWEbk3kyt22ZPFx6NAh8ZS7pnA8dsmAHOJhw4ap9jwaymPZsWB7XYUug6+Dr5Fn23tjuB3eJdL/2MoFn/CyCpMv4P3xzhi6wgE8EkQCX7fSOP9VVv2np7WXCJwnct1S1inez5O8yEsHsbhVLh3UiwgvJubXpMJxyQ7pi7JnRiE5dmwE8Tf2PnDzLDB0OKLaacHz+w6AI5HxeRfgthc5gyQeyfKImHO5o3AJ3x/sOqSjMMIL97p1gJeZAdwtjIE1y0mIroX3kO7kjR8FfF2QPs0W2LcLUT8Pwu1vugG9yVlo0RxHzXXgPbQ/opOCyJWovOdQlEAOiQcKTC2QrqOPXFN9JGm1QvRsck6y7iPS6Rjc1yymayBHIY9TJbkMfC3SVT0hlHVSaY9CTWGfxtRQ4wkht0nHjh3DiBEjKjiJ73+5K+LZs2dhZGQkejkxnqZt4PhfNaErMxAPSqhq0n3PckSSJDyYoVCsPTtq2XZ8YOOAjyafxoc2jvhk6hl8OMken9icwrhfToqF0FBO4dkqYlLjVYZcD1jXZpNxDa4o1SL6Jewe8YsnMKgX/JvXQfBPJsCF7YDXNeD+HQpE3FaSKd7oFtO/ghISaHwsj9/2vw+vDubw7miBA2aGKNiwGjhxGL5j6B70vAy4OiNj+QrA7gRu9f8W177uhczO3yKwtRGOmXaB3ygrxKfHgVeJ4LpcwA9qCCU3biG4Sz946XXEL3q6sKxXFw1rv4O3VP4Gd0t+k+yt/6sUt3+n77q6mti9ZycyMrj/wtOCr+qPfZvLpoYaLxKvzBtdJbnyuCQlMjIy4O7ujtxc6d1jddy9exeurq5iWyk6qkO5768gdDkf+Bp5vNdbY07hfZuzQuTWsnTGx5buQugOX+0IaU5Phnzd/Mkmuxlk8q7fa38ylGNWOE8YynJOTk7GyJEjK97c8uebb0pdhHimZZ5VuSbIeSzXuRdlzwyefbSojFzBMskxvHsZlyb+gDgtXSTqGeKIURNcHdAe96ZOwv4u5vA5TYI1Lw2ZJHaF0OWn0GV0XxbxjMd0rxw7gCuG2sC2jcDOzfSdLMQLJecOkOPgTuTvhAdWE4AjuxEzfDDitDURrdEOt0cOAvxvEOXnkCOSLd5GifJID8Gt1TOQSulJ0dBGqk5bIXQderYiEb2ICovufT5/LlkJOSJSip7eTZXrY3V7FGoK+zSmhhqPQfUlyZjvuNcIc5J878vtDCMgIKCiV8mjuK4mcNjXVuhy+0AWTj71hNV78Z+xR/DuJDt8PsOdPu3x2WRHfDDRDiMXH4N05cQHJdSW8JhMEZMarzLkesAil+4a2hZzFVe2w75X4THhZwS3qock47ZwMvoE/kMMcHOKDbZ37oD7bvYUQQYfQcfyrNjELzxtNw/bIbGLFcvgqq0hBC52ENcd2SdWLoCzI3DbB3BxReaKVcDlSwge+hMCWhoiQrs9bv00lgQ290DieFlEc20mJKXCfuYcuDfXxfZ/f4Lu5GdYkL3JvgeZLHRlgfvpZx/g697dcPjIfiQlSSssV16cBL5v+R5/NDjsHy9y2dRQ40XilRG6MokzmMRr6qrM+O0buRI1kbVyH5+P7XURutXTLOcnf65atQofWZ/GexPtUXvaBXxs4476tmfx6fjT2LRypQj3WHD0z2IvCWoqW39/f7Rv376CVJTWqFGjKuPllDNbc12UjeN9vvZ8iYKJn2tECRF3aXEh0vp8A+/WbXDZQAuBvboi/fwe2E0fBFctI1wy6oD1vXsDV66QoGR65gWe8ulvEYnfdOBBNOLHjwH27QZ+WSgEbxhPNrVnCxBL5H/xJGK7dBdjgG8N6kUieCeSenXCXd02wCUHch6SKL5C5JWRc0qJKsui67OaAz/T7rhurIuAHp3JCemOsx00kGDcBvFGrRF2fA/5ptKsmLw8B8q522IRxSIZE3hVewyq10/ZHgXV7xWxK495ElNDDQXk9pnvdW5feK6JJ8GTdlOuCdxOvXJdlx91H8k3YsV+bpeLEE/ZOn3tMXw04TQ+sXTBl7ZuqGflgtoTD+HjMXvh4uDCgcUhPDaX18OVBjyo8WdCcJO0+WRQlbtcDSqOV+3gBQkLuDs7T8VNH9Hf98QVoza4amiCuIFDiKMccHP0AJzV0ISnsTG29SWeIuGaTv/S8JCOz6UaxW956fjAEDj1+Qo4vB/YuhpO5jqItGgPHD0GxEUBh/YhsUMv+GkYo3DFEsDzIsJ69MYtYwskXzrHqaJ4ZI5iH6IUay0nw7xeI3z+77/h3ypf49//+hve+oe0/YbK3n3v37CdPBH3/O4hJ49lfCV4qSDOhIKCPNGe/PZ9S7+J7v1kZVV9C8lq9js4Ssnk33+fqaHGi8QrOUaXlxPi5RXWrFlTISyq3zS8YD6vNfg0N5EyLDcMbK/rG13lNfDMwHVneeCd8XZC5NaydsO7w4+h0fQLKMzghcurXm+N18+7nsVeUnC3+AYNGlQIW/ktLlvPnj3FGs1KyF3q2bj+8KcMzrfnZ1UJR4b8+9OAwxeWUn3nL7xAI5PdmTNI+uor+JGohOMJ8hHDgIx7SB05Ebe69MZtfgCSmipELoOFbgn9RVIMDk8chWPtWgNHDgKL5gqx7KfXFrGdTRE7fTQ8vjHHbS1dIXQDRgwAzp9CZv9euK3dCqfGDQTuX6YUsFwl8qekhN0ORWinPvDSNBNCF7u3knNxFeEj+iKkXUNhZ3+ZCxSkobAsTy101XgtIN/H3B25RYsWYohJ9V5LcvvCb3l52aFnwWstdMupbSLjR2G3YkvQbP41/GfYEdS1dEbDye74ZOw+tF14FsV5kpySlxNikasWun8+KoRqDaixPqrKXa4GFcerdlQIXX4ry2L35D5cNW6LEJ6bwusmkBkNxPuT6B0EL1MzhG5cDeQ8JGmbhwz6l56fTNFQnYpLxLq+A7BNTxs4ZY/wMT/A2UIXQYZGiO/cFQWzp8GnT08EaZshQNMEt4cOBryvIP2Hn3Fd1wh7ptrQzavqsVFajEuXrqBnj174hPyLD8g+fONveF/lb/zrLemTrX6djzHNdiICg+7SgdLDLboz6R7mq1RdvDD6S/6B0g+pERXj2MnUQleN1wyvzBhd5SeDJ+OoV6+eGIvEJK+Ek5MThg4dKtYZ5OWGnhTK+F93oatoB8WnR3AU5u8+iAG2c9Fr7GQsO3gaV6LSRDcu7gjD+kcsUk9hJZMPVoG/Pou9JJAfnDx8+BA2NjZ44403BLHIXZbZWOxyd+9HvT3hvGFiYVPmE28/u8kEw0s+saCTHDhROCU8QyhdA20W8lc6J30IU1FYhSkhxy19kT4YUQFBCL7pK/apOnoBuSnwueAMpGdLxmko5rG5/Dtte15H+LLliFm/jG7EoxTGD1fXTUGEsQ4iTXSRoqmJ5HYaCNDVQWrPHlTxSES7HkXWEhs4ddXBOYN2COn/FfCA7mmVD8JJKrvpg83DRwDbV9E5XIEgNyDiAm5M7IOQOUNJdEcAN1Rrieao7nlxLZwL/FZG9TVX9dQ7OIQKOV06gZwpsYlACrnC4oSS8Tq8Yi1e1SQ3ctfICsdANvrPpvqgfY8xOaD8XYbqu/xzdVPjr4OKe5KwceNGfPHFF4LveMZ3JXhYzuDBg9GlSxfx22Od2kfglRS6MlT3DbfeogVXfa+8b7hNkPOtHBejcjF920n0nTAffcbOwdxdp+AWmCJaC27VOSQbb1PrqsafDKkVJ/CkiWLiRC5gqS3mjsTcI0n8TCbCST9XlH914zB8jMzTXNCRV7yRER4jjmWWYCtLTcYNV+K7rEwSpMwXqoMLVA+cnC8idOFqBM2fC9gdI4F8Fxsnf4u7pk1x37w5MvQaIV2nIYL02iOrzyDgtB3g7oS0RfNg38kCa7p1guP40dixZxMGDumHt//zdoWfwfY22Qd//xv+Q59/JzP+6AvM6jcEcLsIXFQ9ZM/hYT7SP1Fry/Pp2pi3KLFMzXxDRJAXl12EIuKq/GK62LJC5MYSZ6YSzxbQcZxfwigv2ATnqfwKIXxV9z3zZRWjoGT8k/Sz9ICIF/Vj46m72MRkpWyq43JoHxs/cGCTy0UNNV4EXtnJqBibNm1CnTp1xERULEz4zSST9JdffilEMHfJVU5a9Tgoz/GXEboq4zl0Y+jzVlIOrsWkidkpefW3JDJy/yvbv0ehWnxPbS8RIiMjxWzdMtkox+PWrVv3sd0IuX4o65xcf5+P1SB0hTvGJ5LOyUI3t4jC0DZTH3MR/6K0R6J6WXDXLLLCEnYU6Uge60afD0464oT1VCL/FJzfvxuJ0SHIeZgAvznzgFOOgM9l4Bx95pKgzAtFycC+uK/REmnaOohv1RopPboDjo5InW+Nc307EvkfRvqCSbhqrgdX7ZZIuSuNWyosViWInfuISAp3Ahe/6w4Hqz5UMb2okt6iNNzHw42Lcbx3ewS5npXC82HiUM6BEkG+Ekrh6+GOxT/8gCjl7Nip6dg7ez7ObN5GNwOPzaN9ZGqhq8bLAn64y71LeAWBlJQUMfs7813jxo3FEApe0qwmyG3H4/B6C12VdFW1kfwOLZiazhux+bgWlSMmoGLO49Y0j46TTdG6qvEnQmrFCSxyWTAxSIBxW1xE7TILOO6VxGUvwnEQMrn8q5scH9dlWegKomTkFZHvU4wkHp9dKmoTEtzd4LBoIZCWibv7D6M4KQEPw4Jx02YOcNIdsLdD0f69FDmJx4IgpA3sAC/desg3bYmH2l8ipXs/wOEsQqZZw6VfL+CMIwInjsW4xg3QSeVnyPZ/b/wf/qaaYIq7LbPYfZ++b1w6G+WBUUB4AiJnLsB+8y4IPHWKKnwxXYtC6JKx0M0vZ5UL3Lt0B+tGT0LKJeJLGcTbK2dMwZn1m0kAE7er8quCzwTn0fWrha4arwFeua7L3CgpxSu/vWWS5wXzeXZlbW1tzJ49G/Hx8oB8vgHp5noCKMO99kL3CVBCecz2RFfLgZ7FXhLwjKa1atWqIB1+oyu/1eXF1qOieN5OCXI9UNaH6nWDvz9fk4Uu0QMbcoWp3LsKsINWsUeM/5GpvSpkglESDZ9HJiQZvFWoijDW6xoemHRFYGs9pI8eDhwkgr99HolWP+FWu2aIMDdAwYWjuLZyCt2gxwHPs8jv1gnh7Voh3EhbvN2NNjNjzx3YuxbHO+vC59AvSL12DKt/6otEVzpGBiddeJqUgrxcBI74EXaGWgjUaQH8SM6D/yVgzSyEtG6CsLbNcfzbHwDfAOliONGyybjuibUWZpSOekjqQnHs2ElpvwMM+x6xRho41rEnijftomunsGQVuaaKh3Nakvqq/FKeg02ZkVUg/yAZTzoiTTxS1WQh/evf1fgrQ8l3DRs2FGvE6+rqol27dpg3b16V2d6Zt2RUbz9+C6+k0JUdc/k2Ud6LZPL9yjkimq8Ccv6LWQz8GnwIt5ty26k0Nf5kqMqXH9+KB438nSAL3WJe5k7eKcSwtCkKlbflOqEC75KNfRxmUvln4fvRp+jaTIi6cB057XUR2boBMmynAecvA9eOw+eHDvDXaYfYDqbA8QO4P4v47o4TcPEAiroYIFm3ORL0JDtnYgBs24SUA9vwi4Uehg/shhb13xV+xT9Uk0r9+03J3+Btfntb/4P3MfCfb2FO85bw12yI1G6GwI3jSJ39A+63q4NA7QZY0/tr0E1LqZSvRgXuks3wuYX15ha4r9UMyT2Ic+3OUBz+KPrxW9zRaQlHXhVh9S9SWBmqjODbXK7/PPOFNPuFNJGXLFB5Yi5pcq5CYZU9zOgossoH8iorJVJVmPyvWurVUOO54pUSutUJm7slr1ixAk2aNBHdutgBqD5mkvGk5KwM81cSunw9POmGPPGG3OTzX34690RXy4Gexf5kZGZmCoeRSUZp//znP/H+++/D0tKyohu8XP4i36o5lUrw9+dvktAtK+Muiuyw8XNTcuVSHyD+7i3xNpeNkVVYgoBbN0kocro5nZVplSETjJJo+DwVX1TgrzJ3Rly5iGhdC4S0NcRlIz1kjx+N2AlDcK6LLkJNJUt32YOcs4eAw7twb2BvhLZujmittohrbyTEbrihIaJMTFC+jUjW2w3RZ3fj6q75QKA3nSyTEiGdC4V0Zha6qi7lcD2Fq316INJEU6xbeKu3CS60b4sYnTZIIgGdt/eo6PZcXkgHcaI5HmWxREbAfexo+GnWQoh+bXj36IHgQYMRrd8WEbqtcHHgMOCcJ1V8CktWkWuqeB4rdNnoB5GHKkj5yRHKR6mFrhpPD+agxYsXC57jnkz8JrcmvmNwnWPhKrUZlfZbeJ2FLsugArFP1TgSqj3LE+BWho3veXmb7aW77r8aOOupsCqEbmoGUu8HiG3ex2NT8/NzEX3fjwqcJ4lS1Qm52WUoio93KY3LOF+Mb6VDidNVzb94QRpBfJBhpoUk/VZwMTRFwpiJQuSeMGuEIANthBnrAW6nAQ8XJBxYih0DTYTITTNshSgSqGwXzIzhpN0OR0hg9nv7H/gn+Rb/VcyazMKWjbc///xzTB8/DtfdXYETJ7GtY2dEGrdGqF4znDSrD9euzRGq3wjRpi0QtWc35QX3vZOvpBriE+ExZix82zZEIKX/fv+huNatH/wN2yGykyE8v+kFuFDalVDlE1d3uf7LgrS60OVHAr8SukzYaqGrxkuEV0boMsnIooIJeefOnTAzMxNducaNG4etW7fCkJxn7tbF3ZgZ1ccyPQ5KIvurCF25gZGNc5hNuY+vlo23Hwk50O+1PxEhISGwsLCoeJrKJo/JZYeS36LIUC5D9DjIztHzNVnoFgljJk5OiUKR1Rj4dDTCQ17GJy+WCisJgdsW4UpXE2DpzEeOJ5bLmMmMTS7/CqjKhvfxuF8RuIiI7chOHO7TGckGzfFArykRb30i3iZw69YGOPgLvJbboOjcIcT8OBDnjXThZtGOBG934PIJpK2cglsmBvDU0cCabyh9SX4ovHsRD6+70InkdPJ1Uor4nidCzKbrZOPFIXJ9zyGqswGCTDWQS3Fkk4A+0dEY2LsVpXnk5LDjq7oI7pKfI22qKjARb9FDJP3wnbRQv2YDYV7mbRHarwPiwu5TOJ5RU8qPivrJxS4XfTb9Vszpo23hDalQwJTN+VQm6VoCn5KdaR7vlcE7VRmZU8pLIFF50ld2HAp4SSSyil4UInIpOBvHI5Kvxl8Kcj3g9bt5OAUPyeE1dLdv3w49PT2xLfdektsIBnOkLHSfFK+k0JXBSVKaaCsK6J6RHh3xuEVpH9+JWRUPcPk2lY3vM1n8yvetbGr8WZBbPpJVZdS2l2YAaVGApS3CO3YlkbaffqL6nxGOjM2LcKNjN+K7FdSoUjmX5qG8lPmES5bA5ViTMartUzXflb87H4P71x2RatAUse3qIkSvAXHel3DqSfy17RecWWyN/GuOiPmmJ7wMNHGsozZuDO+H4suncGj8IDR792+o96ZK2HK35H+Syd9V9uEH/8bkqVPhFxggzi+194Xwcz+Je/rNEWzWDlm6XyK1XR1c79ISWDdFSp/8BFqBkooLKENpYRqChg+BS3tjxGt+iYdGLXHbRAuxfbog+L7UnZnvDukxPoMi5XG8xEfIpbjzKDI+j+h6LIUQoO/S3cTbZPQzp4SNgyuDFhMnsjGF5lM7w9wq/y6aE9XxFaaGGs8Rr4zQVb45O3XqlBC4TPQnTpyoIF6elIP386QcLF4YT0PKyrBqoVuzPRKcJc9ifyCUos/Ozg5vv111AggWvH//+99hamqK27dvq0JSMlXlzsfzNpuyXsqQf3sxJgldqTT43HnYf2ArXNs1w2UDDWzqbYKsE9sQsXcFVn1thAsdDeBqoinWmZahTLNcrrKwk8u/Aqry4TMWiVOqakFBGrJ2rMVDk9aI0WiACONGQuxi21xhB0Z+DSTeAa5fhn/fr+DTryNgvwsJiycBF48DM6fghqEOwnb9AjwgcVmcrDJyRpXXR6TIxiI3T6SQpGt6OAqG9EGAUVukt20phO7pbuZAAHfhIhRVPowIz0qThK7MqmVMzQRK173OFkLkZho0wzmdRsDciRyAjCfzkPKjon5ylSFPIM87oMIjYLHLzJ1wNwh5yeniAD6mgLyMEsonKq6K/OU0iHSISKU85ihZ5CohrpquVxYpcnnI8ajx1wCXv4zjx4+LuQG0tLSq8J3cjZmH7fB4XRl8fz+tyGW81kJXfOebj+7C8kzpYRJ9k+8ruX3j5k0WukpT48+CqgTK81FWSmVXlgn3XWvh3VYLd3QNsa9/exTab0P+rhU40ssIV806wEPXCNcuulFYbqj5eLnxJyjryG8Y1xgB2i7jSvEwFtixTgjdNMNmiDHjt6pfAvs3IGv5DOyzHEJhQonjjiDi6644N6ALwqaOwk9NakGHfAp5FmXhY/Cb3L9L2/8kwatFHPTL0rkoLVFxE4FTLMa2FhGv5CShZFhfut6mKDBuhnSturjRvS3gZScFpvTJV1jI4pTAmpQ7NQmC4jzYvxNnO5sjRb8ZknSa4J6FLjDHlgMQ8n4tdBkc1y0/SegSSgsoLvqJ36SXplG6CBkUtxgJzIeQcb7xtBriXuL9CnAQTh2niH/j7xVQHV9haqjxHPHKdV1meHp6iifaoaGhVZx2FiC8xi4/+WZTkv+TQEngHC/bX2aMrtzAPMoeh5qOeRr7AyDPqMzgujJ16tQqb3G5mzIL3Lfeekss5SELYqXTyZCdPbbf+u3FmCx0VW88iTYys5KQOGwYzunrI8WsHSI1GyKCCC3SoDmcTQ2RO2cGcvOLq7yZ4LgYfPewMfkoTd4vQ55comJncARCJ89ElFELhOo2RoK+JqI0W6F0wgjgwHZEz7QCLvCalKlAyj3AYT/SLH+GSwdteH/bGTi2GzjvCCxdBkybTuI1msJmC8KWUsapYOeUy4CslJwAnggrlQh2+So80NBAspa2OC/bXWMj5A39iURzJIUnyi4jR/1BACKmjBICW4DfFvOj7qQkYNQAxBm2QLhhc8Sat0WqaUtktifhbE8iPCuj4vpVc3ERcnF/6wpcb60NzJhPzgc5PuUP6ToOw9FQD95W1kB0NKVdlUF8IcUsNniD6khhFoqzKS9yMhGzbw8y7t6k3+l6SIgLnDwP7D5B3+k6i4pRUF4iTHgsUoao8RfF5cuXxcSL4eHhFfctg7cvXbqETp06iaXOAgMDVb9Ivz0tXkWhy62vaIE5SUpT/VLxO8sGfiMo2hNV+umDH0jJD6XUeInBhSjKqBSFqQm4OvZ7bDVrg3jzlog0bIyItg0Qr9sMHoYGKCJeRz61raXFUq92bpKlSiCB46luipoig/0FVWsOeB9C8OhOyDPSRapGS+KceojVqY2EGT8D7vvhs3QhiUJvEoABmDqqD9o2/RT/YUHLb235De6/yP79N9QjP+MLsk9J6H5noYGD+zagKJ+n/KwEM1/F7NIRMfCfMhMBmi0QbaKN4LYNEaXbAnEGrZBirgXcJm4tpFTmEG/cuY342WOJ77bRNZFvkE/7Sim2wHvI/doCMSZtkGCkiQemOog1aonk9pp4aEdimfwc7t7PD2LlrsQssAM2/oJLrZsB82dK8TAfHd+Kk6atcHfcACDEk/YVUjbz0ZxTvMAgv7WldPNMzpydwVEIXrUB8LtPcdC+/EwgMwVYuxfYfJiUMvF5ofRQSjIpHj6UrbJ81FDj9+OVm4yKoRQsDJl45c/79+9XdGOW8SRPuJW/q4VuNXscajrmaewFQ1n+7DBymcoCl7sps8Dlbe6qvHs3ibBHQI6DP7l+8Kdy34s3lXBiMhBdl5kW6TMkGFGDBiFWrxmSTFoLkRui0wh5c4mkUhIrsljOB9n4jaLoOksmSUtpm/cx5cjIpXOKJ750+vzUDARaTcWJLl8JoRtj0gqJBlpinOx1/baA1WgixH3wmzgc5X5n8fDKMQQN6gUPM004mWugdDml6dB2hFqPIoFqgmsamrhwcAvFLT0lFl2kRWrY+F4nK2MaLkbZLythp2uAVG0dpOnqAnOnI7uzOby0tYStnzYJSIsD4v1wbL4ljtL5zvQyQ2RQAB1PuZCSgl3kCIVrNRSW8ZURsr42JZFOjot2A2zq2weZJ+1UdEtGh7ClOx/B3E768DdqD19tI1xfZI3EA+txtr2ZsHVGRkjbtFk6B2cSgz5KSvntP22US2+U7qxdhSVdOmLeTwORH0ROCiHokgeOdfgGh8x74fYJe1G8PD6XhW45OzssdtX4S4LvV+UQHL5nq+Pu3bvQ19cXS+rJ4LbpSThPCQ7/Ogtd6a0gD23gdoXw8lyGGr8BUd+k5lP1h9rThAB4TRiCCINGxEFNxIRP4W3qAQsXUNtP7T+XOne/pUP5xWRpEW1wRZDLnD8VVs4ijALIdZvvBQafzT84BN4DtOHcob4QuZm6Gkg2/hKJhvXh2KUd0heOw4MDe2DbrhX0m32AD/8h+RVvqfyLiq7KZHXoe8cv3sbOxbbERdzrkB/gkvgTXE7cS6fP5a7InI6cXARMm4Vd5h0RqNUSSZ2MgXE/IVa/NYndZrjX7HNsGDAQiIwhQRyOPcOG4rB5Kxxr3wb3z6lWFAj2x/KB/eHXtj4i9Fsg0VgLyWa6CNNuhAi9Jljfuzfxnb0QuZQSylmeyboE2acPY1kXY9wz0cdtEvd2K5bB++ghnLZoC6cOmthn0gzFm+bTEZxDnGcSY1YIXUZaBm7MWYRVFl2w+acfVWI3H/77d+K8cU84abZHCJ1bCGBRwGxSPByDiIWjlopEDTV+N15JofskuHPnjph9mcGNlkz8vwUlgf/lhO5rBi6j6g9EGIcPHxbdAGWRKwtcNh7z7e/vrwr52+D4ZaErO5QvwuTp+pUm1WJy4sR4VhZVtKc4EuFrbJBM4jaNCCxLqwlydEj0Ht9KejGxkji4+5dYdoDqcBlPLsHddEnC0ldJQ9MGiyt+IlvEO/gcbFz/+W1jAq4e3wQPPT1cMTXFll6meHhwI2XsNtj3NIOTvgZcjLSRa78Td5dNQ4TVOCDwLvxHD4admRZy19A9eXQTsJuE7fwZcDc2RMLokUByBMWvKq9yltmlwqR9xUSeOUgvSoHXsvlY1MkER9v3Q/bKPXSj5iMz8B6C+/XDJWMj5I8bCzg7o7hfH4TqaAjid//GFMG+PiJq3A/F0f4/4KyhEe583RtwOweERiJreE9c0qoNe01tYNly4BqJ0Mu+4twooTzLCoXTpjnwJaeKLVqvDaJ0WiFauzmitJrB0dJSPGyQiFoFSr48wRs71wmh/vAe0h0n27dFvGZd4KeewBJbBFOZ3W3TDoHauti9gM6dWSSonqf4EFnApoYavwEWqHPmzBHbubm5ojeK3D49KV5FofsrcNLIKto7GfJ+uh+lh4VqvCqQ6xvPbySRFCEnAPGbpiLRqDFSzFsQ1zVBmXk7aZb/wgwqan5Qy4vsFCOX+a6QOE6sH0tx0X+OqoArSCnxWkkGfRahKC+78sGibHkk1vbtgI9ue9zS64Cjnb4iriNxdvYSjg4YgklmJuj8SS3867+SDyGMBC1PLPWPv1cuD2RMNrzZZ9hspgkfm1GUHl7QioRdWS6lh9KnShdfHc/xwCgmnzN63i/Yqm8B+07foHg98R1xdtjtW/Dq0xuOxHdBY4lfXc4Ag3ogVKshnNu3w7nuBrhzy5NioHjOumPX11/BwcgU3v36A66Udu+LyPuxE3z1v8AhvebIXzYDuHiLGhFpuB85TkT1wXDYMR/3LLTha9wODww0kKjfDlEk9Nn2TJtC4jqMAnOKmfMkP6FiEsXScmRGRsP36264aGGECO36wHDi27mzENumFYL1GyHEsAkOzpsOZCSJh+jiQbrqzpXkbsVXNdR4Jry2Qpchi9OaBE9NUBK4Wui++pAnjuLPnJwcLFmyBP/6178qCYmMuy5zV2Vra2tkZBDhVUNNZc37lOJW3pYh738eVpPQlc8kCV0CfeYcXo4dvTSJRL5AfNu6yNNrgVzd5ljX1xxxhzYIrpDWpJXe28oooW22KmCizae4SeyWi5mdJaFL1EUHEEHnRAGLFsK7Ywfg/EnAh8TisV3A8d240sUC5YtIzEbfwfW5k4Aj+4HNa4GDJLg5zN5VONlND5dNdIH1K0j0HgaCA+l8yUjzvUyORhFKi/PpXFWFbjmlgaejQt5DhO7YiOKNR4Ao+l7IjgKFuXABpdOmCZF7r3Mn+LVpgQg9bbj1MaE0SssVlWVztym6fu+7CBrwHWBPaT9mj2CryYCnHcosv0Pp/IW0fR0OP4zF/j5DEOnHApkouIi7KieSMLXCffOWQuiyJRi0AX7oS2I5lPKtBIUlvNyTqr2hbOTSEiVWLL2RxuWT8PyuE1INyEEjsg/Vb4I4C0nk4qdhKI9NFb4Di1y10FXjaZCdze9k6LYt4BnZn947/CsI3Rp+UeMVgNC3XH6l1CpmZeDh7nnY0bMtYnTr44ExP9htJMTuwQG9hNgtoH/Su0luR0kycf9lErpl5NOxcQsthK7YYn6jE3DXXIZKdAoUkN+XmgBYzkKQBcV9kkQl2fnx1rBp2AwNyYdorPIl/s5vbrmr8hu8Fq60r9WnH0O7fl1MN2mDxOM7KW3EW3HEd0mBSPY9h/KiDJQVpBOvUmLovHxawR5yL47MImSu2YrSjfvoOOIvuSK7nUHZ0sUUnwtuDB6CYI0GiDFsget92wOnSBAzuPdCJsXt5Ajf7waRQD+Ggh3rcNt6DAngPSgf3QtFK4ir3e1wut9QeI+fhlxepkwM2aJrziFOm28LH6M2Quiyxeu0I74j7owKp4SyL0H5Jt5GS1YhdItUeblvB86b6iOORG2CcTMk62gh09gQUWYtgRF9gPgICputFrpqvFC81kKX8aQil6EkcLXQfbWhdPS4KzuP2Wbi4XG4sshl4zVzDx48KMq6Oh5Vzhy3LG7lbeX5eP/ztoonzPI0oEwk3Ke2sASezm4IMtSBv74mDplqIMxmJOIGdMFlncZIM6kn7PoVEqOCQukYZg4VgeSQ8BWzGYuF8VVxiyC0rziPriuVzv+QSIc+8ZBoLZl+JMLNjQfuXARWEtmykA24RA4BEXjYNeCKHQo3LAGCbhC57sCBDvqI6tEVsJ5IxLcCiUss4WbYBr5fd4D3rHFEukeBNZtxr+vXiHJ2ougVDxzk6xZEygsZZFIasgUJ8t5USnsyT4dRROm65YHkLroI0PoSsSQkwzTrIt+ZBDaS6LqIkFVd2QTSE5EWeBu3Oxngok5zBA35BnAkJ8TVDbG9vkZ6yxbCdi+l6xDgN87k/O9ZjGsWTRGlq41YQz3c1tcBxpHjwA8HcnIov9hBobzk85CpPtgdUJ36ATIDXZD3tT5ijBqhWK81cjWawWnS9+TI3CayZxetUHRb5gUbxIFsaqjxBOB2TLQXvwPchr3yQleN1xIsqfK42hWkwWv/FsQatUWiqRZOG7dD5sxJCB/SGR7GjZFgWBcPTOrD64w9BSbpxDxHzX4Z/WET34k8+IPBnyII/WHjifHF8rmqKl7hFSRnI9vHH7tXb4RFO10Ssv8n+RBvkXFXZdUMyv8ge5Ns5BsfYY/RV8BWB2D5PniaGuJ2147wmjMWuHAcJStXwLVrF8Q6ugDZeUKWV3T5JchDV/ghdGFZDgokFSiB+aAwkfj3PFK7GSNUrwXijVoSJzVBmfMW+pG4Wbz+lkS+WCwpMRGxntfga9EWl3UbIt6KROb1w8AZB8R82wvxmvUR2epzHP1lKZ2ccjufOZjSs2M7ogz0kaqvIey+bitggmpIYBaPzVWBHyRUDIaWJseSfn2AuHP7EWlUG+EGnyJHux3SWjfHNdv+QIwnlQj3KCPOlA6T8p2MYxJ5r/peYWqo8Tvw2gpdJm0xmUANAuZRUBK4Wui+HvDw8MAnn3xSRdzKZmJiAl9f7p5aCdmRY1OKVxnyfmUY2fi7DPn352W/Eroscjl5xCiXTzsjwtwIdzRbI3PZTFJ/kYC/J5KGfIWw1u8it1MzBPnJs0eXozDjIfLTslCclYeM8lwiJHIASOimJ8RKQVhE8zi2EmbXDDr/QyIjXqsvl8g4EffDSeCG3MDF+VbwMNPHOXNDFDrt5umHUXByC3Z8Y4SjHXSQtnQ6hbuN6yMG4RYLwpW/IH/zfOAcEeyKOfDsbICQVbOAa84I/2YgrhpaYOF3A5B3kwSyjCpCt5T+MgHnirFMvDeNRSF94vYFbPq+K0L0GiNQm4jciMSo3pdwtiZCjSXxTShjb4E9JgGKL+8hMM8W18hp8rDQFUsx+ZmZw9fAEKlNmwD9v0VZYgI5V9zV+wHu3TiMwL76QuiGa2sgoHULIXQvtWiKgHXrhNCV6JnTWhV5vJyQ8KBiEHhuByL06iPasCHytJoju21jnJtGzkPYdbpCcnD4mmShy9Gx16CGGo8Atw/MdWy8Xb0telLwcWqhq8bLCBa5oukuzsCDy2eE0L3TrA7y5tkAD2NItDkg6DsLROl8itJvdJAZxROz0RF0XH5GAfIKs0RvG1lQFZCqjY4lsUiQa3MBcyr9F0vDKdxGt4uXcHzhSvRrrYt3/vYP/It8h3/Q5z//8U9p/K1qBmUWvN0tTDG4bx+c+upH4KgHsNOJPi8Bq5fjmpkRwjfMRf6JrXAwN8NJM1Ns+HkESnx8kVteRKwhp0Rq8vlbEfIoKQWVCwnI6fK/gn0DOiHGVAPBOs3EfBMsdJ3Hfw1E0PkYxCHUEggTkeXS9S+bgptmreHasRHOd2+O+53N4G2kLYQuvu1AgphEMvcUK8tHuNtpxBgZElfpIlm3LWJaN4W/fhsEGraD18rVlLHMUKUo4JUSqgld5mRJm2fj9pFViDKug1D9T4TITWnZFN5TBwKBvBJEGbJ5yShVuQhQWjkmcamcbqWpocbvwGspdH8vESuPUwvdVxspKSmYNm0aateu/SuBy8ZdlRMSSMQQlA9DZEfuUc6i/LsynGzVw1cP+yz2K6HLTCgbfb17cDNu7FojfRFvFQlZubi8dhnSPCrXAUZ4CHytJ+F+n24kOJ2lt5yMvbtwq6MFUk+dBjKlul7MT3Z5HUK2ctqXFIZwu51Y82NvYn87eE0fD18iwXtGRojt0hklQ39ErI4uYrS14WKqjazplmI8EFxPAmcOIXPbMizu0Rr550gUp9xE2tUDwOljuDHkW8Tqd0FAS0O47d1I5+cn0pQAMroaid84Dwj8BJiNSVRwP5Frst89JHzVFb46GrjfXguJ/bvAr5cJrpm3RZCBJooG9UV+WIh0HXRUCXLIuGs0IToKEatXIrbdp4jX+hypmg2EnbYdT9cbTeHKUMRd2jxccKyTOQI0myHCqB3Ojv0W9+aPh4+hNu6Y6uO0KeXn5n0UIYUlp6Uy3Srj6+HTH9oBp45GcDSpjbuDDJBrTQLfojlu6rRCav+eQAKPk8oXXbgZ3H1ZnF8NNR4Dua14VNv1OPBxaqGrxksJWQjx8BuyOPfTuLZjg/hJehAKpIcGwmnBFBTfOC++I58OIDHrN3k6Qvt2ATxdaR8RZkYesGY27nbSQslpCst0yU0sx8+g6MpJWYb4+8F2tBUa1OI5PXh1hr/j72/8DW+QoP0n+RBvkcD9nD4bkA39x1u4MW4ScMlbjOEtd3XDg337MW3A1whwPgGkBSL7whHA/Qh29TAgcWqO++2M4LFjO5CTRUkV712RVcwPk6Vt6aqIgUTXYNV3TltYHNI6dUNgWy1cNGtHXN4B3r27wNVMB9GabYC+xM9RkUR1dGHsKwjwsIZ0IC8Pibt2IlGnjmSGrRGu0QielmOASF6lpFiasM3dScy1Ea3fSNjp6f1xcelw3DXXwk06xtGwB7CB+Fs1fIpaBfGvRGXiAnhZov3bcNpcD1fMP0XMD3qIHfMtzpg0F8sbxfclzkyKoIN5uI90CJtgO95BxttKU0ON34PXvuvy00BJ4Gqh++pBLhceazt48OAqwla2999/H1u2cPceCTxxS01Ct6YyVv7GphS5simPqx7+WexXQpefPrOpiB9ZPNMk1dFifvtYTKKKKYOQ8YDInQhO4iNELJiLvZ3b45KZPvz79kBZSAhizp/HVSM9XNLTxkqq6xnOJIBVCLp4DoHnzwJht+G5ex2S3Y4h4OAmwOUYqeurwLhx8NbUgL+BPm5raSJOV08I3aL504Abl3D+254I4VmYY+8BF0+i6MJeOs4Rmd5HgWA34OZVhE4YiTANc2DWCiJH7hpd+eSdrkwYZYIwWejyu9Ms8YaUoj12BDc1W8PfWB8RX5kSSR8HnPYjqK8FAvXbwV+nDQI9eF1FHuubh4KydPAEJWLsVk42Hu7ehQyTxkjSrYs0rS+R0Ko2vJYvEN2bWQ7nFFKeel5EgNV4BGo3B37sR07BDSDxPjDDFt56GvDsMxg45UFppIwmUyW/4joY4XeDcLZHe5w018WdgfrA7lnAAbrmxeOF0I3oaopk73OIveyC/Fwej8VdwMTVq6HGYyG3FdXboScFH6cWumq8lJDbUbmPcU4qVUZ+IEjbKqEreC8jln6nuss9d7OLxKzF243N4WnSDtHf9wQCwxG95xB8zNvghmkrbOjWH/AgcaqC7/kLOLJlG4Z8/x1qf1yrwm/4v7+9ReK2cn6P/77J+/4Gk8/fxQ9GbRE0fTZPzwyP/j8gZtYiICYWJS5ncP8U8WRSDAqukNj1OyfexN6cOgKBWsRT0ykcD9PJ4wFEvOpBuRC6ecRw7JFIDC4JXaZ8vnyG575juNeyDaINTXC3d3vA8SBwwRk+/bojvHVzxGq1RbCLCx3KmUAoYPLnFQ2IUwrykXfCDqmGDRDZ+iMkGLRCnH5L3J09BXjIb7iLUcTjki+4ImrEDwhq8zkwrBcQf5l+vwnMtsJVrSa41W8E4HCREkkpLWOWkv5VCF3CnbOXYWeoAQdTHUQM0gL2TadjdgDLp1AczRDc1QSpdzyRcvsq5K7bzNCFIk6Kg/5zPihNDTV+D9RCVwElgauF7qsHdtRcXV2hp6dXMZsyLx0kkxN3Vb5xo7JbrCxw5fKUnTjZqoC/UuNbMSEUmSRumYjYfi10Gcr4fo/J52MCUFqF8JWN/gso2YAIKId+EGNliCVLMgqBo0dw+queSNCpS4RYBxEWOgg11UQELzdAdn6yJZFaFInjEsSdcsFDkx5IM+oO7N9D4vY08CCa4tgHl37kNPA4qAA/BPX5GoltdZGsZYhbOjrI/P57ICECPmOH4Xy/3iQAT6B0/mxEDf+Jwp8nZ+MCcP8qyo5ug1/PPsCRE0jbupUXDKWEsoRlUuYLkqajUhq/7WTja6ocyUthnbYjffsC5Ad40Xf+NRNJAVdRvHUhpVf15L+YJ8uQ3gSXl/H9TJmyZy1u9DBGjBkJZc0GCGjbHOG67RBkTIJ27ng6FYnc2BgkbT8EXLkNbF8FXHIEFs1GTDeejGs3ijdNQc5VIn0SpzzNCU+CIrwSMj6fMFX5uK+diRXDvgKOLUWgdR+EdNGmvF2DUtqPg2uApfNxy0ALKdvofImVY5HVUONJwe3G74Fa6Krx3MBVRGm/EzwtkTQ1EYs1fohIjSoJodxyFoeqnkuK+LltF890VQIMR1xw6qtB1KY3QLRBYyQbtUCiQTMk67ZEonYzXJsykQRcAspKCrBn1za0a9cC//yn9MZW9ht4cql36PM/ZI3ITD/4G/bU/QRuem1xj3yNEl7WKzMet8YMwQXmxeP7kbJgOvzH/0w8eAtI8wNOH6Y2fzfCv6G23+E4spcvBW4yV3Fapcnj2B/Jp2uVroy5ijstl5LwLUYafZd4i/ixPBf5x3cheddaRPpfpb1MNqUIuHERpWso3j3EpTybcwmzP8cjdSIW2LQWt9obI1q/rjA//aYIMmqJQDPiu6l0HWmUp0GxiNhGAt3DB+mbl5NipXOsnovYPsR3Z/cjd8tc3PO5ooqwOioLPC39IVxXT8aWif2AnTNwb0QHJHbWBw5sBngSLHvyKWbMg5+WASLWbALieHgUg3wr+qs0NdR4FqiFrgJKAlcL3ZcPj3OyVq5cKWZRlglKOfHUiBEjkJgojcmRweQij2tjyPHXeA6VoJSFpyxsqwtdNiWUcT7O+Njq+x4ndOUn2tLSC9I5K5mhHFlElkLo8m/sAVwhMXnwALLat0SSwZcIM9dCVAc9xBm2AH4iUXrxLBFOJBF3HpwXLEVEKyPEapjB5ZteKN++BQjzg8cPA4DDu4HUOGDhfPh26YR0PVOkahvhjoE+gtu3R8n2dcjdQCR5aC/SFs2Du5khTulqwMlmEBGnK2C3A0f7dsQVY3Pc7d4LpUeOIGTRIkTcY7ErzR7Lia5Z6OYJkctyWLpYsvtn8XDbfEp7AH1VPb0uTkba8skkoE+IkDyTpbxeMLtEPjfP41Yvc5w1bi0msMKPvYjsrRFlqA1/gya4p9uQdOxOqQtYQDQebDtI17MFd8cNgZ+RDu5TuLPf6pLw3UeJo1jzsiiN3O2MnCzOb0qWLHTZVWNDbhQJ/cuIn/cj9hh/jrumLRHZwwBw3CXE7nWt1kLoHh3wM0rsXEU0/KRfDTWeFNxu/B5w+6MWumo8F3AVUVoNqM6VNUEpdMVEf9WEblk+tbuq7rmsa/kxKfdpkkD7b4eTwHRFcoc2iND7ErHaDYXYZaGL0UOo3T2OsJWL8FXPrvinav1bHnPLywPxG1t5/C0vE2TcojHGmbXGzN4mokeUb8+OJBT1EdGeBOAlZ7HqAJztEDvNErv12uCgsRY2WH8PJPqKSRkv9+mMC9ptEPc9Cb+L51GyYR1KkuOJIEjeqh66K4VuITEHf2ehm0Jb4rpI5AoO9LmA0NXzUZRBXC2uOh+lGQnA9vWA10UKR6GLs8VEVvklku/qf+cubhIPXzfWRZjWp8R3HQHLH3FXu5EQurd06+PCmu2Sn3A7Av5rSYiSoOblkG6btoWPUSvY9yaheo54kCGWKRS5rIBU4CpWJiQi64YDEqYPgJ3ZFwjWb4GkrkaSyF27QIjccOP22NXrW8CFJ8wkUEHKx1fGo4Yavx9qoauAksDVQvflg+xkVc//qKgoDBo0CG+++aYgJaXY5Ymodu4ksaLCo+J41H4B3iULS/qdCZrFpwT6ZPJVhWG6YiFVWEIkpVreiOcK5rUbazYOI80IyZ13BMkwgogcI/xInBGZlND+EnI80yKIeOxEtygGp6WYSL+EHQaRBpUx4yu/szGK6TMoUFoKZ94k+GnUQ7ZJKzw0aIqb5iTYDmwDQsL4UawUPrsIMcOG4CyJuiQtcyRqmCLH8RCF8SGVGYeEtYsRrGuMUH0zuHU0xZWvu4ruVFEGxjjX0QLYsVV0b063243wjp1xn/b7abZDQf9+SDPtgDhdIxxpr4mLg3oAe1fjyvdd4DSQnA9v1Zq3nKnZROJJyZShlDFslJelTPT5tI+7qFHOpfvdQ2y/HvAyaIdAyxF0jXQ8OQDZa+ciwEgLMV1MkXvxKoUvE06EmGWa4kiNCkDI2HE4bmiEk2OHEyfzm+xUeGxdCQ9dC5zX7wCfkyRiSyg/uDtXVAjQ+xtEt2mHTP12SNZojrt0zbh5RRK6BbmClOWuW+JDNv6BrIDS/7CARLj/FWwb9z3utm1E5N8KGcZtEdmqLq510IAHlceJGXOB+GRxGAtlNdR40VALXTV+DX74yo8YuSVi0Ge51G+lUDV2tPI36WGkkGy8S2nyhqrq8CRGxTwPgRxHBHGaN3FeMQm5UmrfWdDlpQAXzlI7GEMBiAfKslBSWkDp4bMTq4ptiUflISNifgp55nu2mDiKm8TgxFkI1CCe6qQtbH2frlj9VUc0avhxha8gTJ5ciu2ff8O//vcvdOreEb7T5uLyBBs8NOmGWA0TXDHTFRbejoSrng7cuxkAV0nsJt9F5vF1COpgDF9DTXhqt0Tit18h0cgE0br62Gyhhcvjf6SwV3Gu/7e4Yj2L0veAcoZ4nNNfkErcSnnBD7CLKSeZsxmZ2cSFLHJLkex1BQmdeuKuhh4yZk0jPmdOD0Ty/Fm431obmT36otT/PvFdAbLKuVcQ5U9ZJnJj/HHvh1E4YdgBjuPHivkpUJyF0ysWwtXUABe7WCDB+yblO+Vf/kPA7ybSzHUQ2qYhsjTJT2jbDNcH9iRO54fRhZRefrBbUaTShsrYq5GkO6eZePHOZawd2o/yqxkSiDvTTbQR2bohbrY3xQVdLXiuXQWkJokj5CPVUON5QS10FVASuFrovnyQnwAXiXXeJFy/fh2NGjWqICpZ7LLxfi4/JTgOLtfqZSg7cL8qW/7KphC6bCx0C8RyNVKaMh4SMdDv/L6RjX/PycslIpD+VQrb6lYoTIhcbuDpf15EMtysRmFH3+5CxIkE5CbAcfNSHO7YEXELFiAzM1N6G02/sqj+lbCtbjJh8vW5uCDcsLmYoZhFbrJOI3gR8YT27gzcI3HNa/rlqORVTBj8v+2NiGY6KOvyLZHyXSJIItErrjjRvyfutNJCtGkn5C+cTfvOAUN+QoiWLi527oCIEcOA8DtAgDewag1iu/dEpIkhgvW0kaBnjGhNPdwbP5jOeRl+Y7/HXr0m8J85h0ibl/JR4d49HP5pKC7u2k3pkmg1vygT1zYuxfHp48kBSEfoxfO4aaQp7LCFDmJmWSJxkQ2OddbFXd02uK3dCrEnT4voWOg+LCWnoTiDoiIS9r2NOJvJdF1B9COVYTGJ2lISoguJeLm7MovpXF7cvwypZ52RbmyKJHJYWOimaLbA9U4mwMFd4m0uh2GRyzMmC3DhyMbZT8YTjbDYRTGReqAn8r7tjiDdlohr1xCpBi1xwbgFsJTSk0Fpy6ewdKyqJNRQ44VCLXTV+DVUDRcZ85XUdQhIy0pnVhPbMngdZ55ZXuytPEwyeYN/JCuTdhJKUZSegkuz5mNdzz64S22smPGf2uarB7djVycLxK9chmIWgMSsBQX89rJMiFwWu5Xx1iR0qR1Oz0TCzl1IMO+FpA69cdK4JdbWfRvtSchqq/yENxTCVvYd/vavv6GZdnNs2bkFYdGhgIMLTg0aisg2hkgz7orymdbi7S3690NYm9Zw66qPiAk/EN9dJYHoDmxdh8juHXDHVBc3DTQQpa2LB8ZmuDpxKLX73rg1cgT2GhrA04Z4M4Tn12BQxkT7Y/eYITh36LCK7yQEbNiEK/MWEB/lIvqCO4L0TeGvbQi3jubImj0d8SR4T9B2oKYB/NvqIdD+BGVtiRC6eeyRFBO3sei86YfsecuABDonD8shoYvUWOTNJsF85Tw7LrSf/asipDvZ4YFRO7FWfErLxig11YP7V2Z03Ycox6VBUQVyGlXlKhszoMSCktBFQQrly3WUf9MdkRrNEavZDEn6beBprE98t5BOx2nkcmOo+FMNNZ4T1EJXASWBq4Xuywc533kCKcaePXvw8cfSE1nlWFw2S0tLhIaGVojj3w1Vw51Hf9gEEZBo5C6wOWLtWfoaFw+/4VOJALwoLJ2PZyJMK0Xumj24s+0AJZgjkRwF4SyI7UrRXKU+0abb7sPw0dKCv7Exgrp3JZK1B+ZbIcSoJUJ0tBCur4fzFy8q3ioTlKK2JqOkFuXSn0M7Yd/BECEGrYS5ftcHjn1JgGo2FjMwHvzpZ+Ayj/tRIdwPd37sL4QuNh1Apv1uJB3aDATdRDSJTcfvegLHSOjdIZF77hgynbbDY/ZwpCyfCXgQ2ab4I8+LRCaFj5s6DhmamsjWITFKBBek0QaFwfx0+CEiPRxwdPEMIl2ejIrffKYhJOEOgih+F70WuNuhA7BvH8BvYW3HIshAG4F6mji/gI4pykLc7hVY38sIyXoNkWnaAjkadZGv8yWuG2sD86ahMEbqtp5TxsSfh0ISu2z8lrg0LV24RVJpUulQEWVm5wu9n09lLXL5+DbYWZC41eO3rxq49pU2nI0aIkKrBR5SfmadJucmi50t+l8kprmqYvwWhJ06LnvJ2Jkgh856CiJMLfDQWA8pdE38FgBiNlE+K6+qK43VUkONFw210FXj15BaMInxqL0qITGSEINsm8XAhbtSEO65FJuL5KXbEHnEgciSZazUS0m2Si6i8KL6FFA7S6I1OwnXdqyDt6EpruoawqejERH7FmDFLFw3bAFfozbw0W+FsKB7VEGlh8E8OZPMo7Lxe0u2yq7OEsL3H8GsDl0wvkUrjG3aAp/UUvX2UolaFrn/eONveFPVbdmcbESjL3CyaRtg9SbkOdP18FvljFgEOR/G/dHDgTOOxJEkyJ2PiLG33kP7I3PpLMCbhGLkTWSeJZEa6IPYJTNQqmOGvDb6iDY3x512bUnsXaHrf4gAF3vYrVyEklSejIryhyeWDItEdu9eCNDSgLe5MbBhLXFKCTJ+2YA4jQZI0W+G84sWAfHxgP1+nOhEotvoSzF7cmq7usjUaQhPE+K7JXNI4LOwZU4rRH5JDvFYRT+jKiguLUOemKxKBR4DzOV86CjOmpgh0VQHUXptcK2PPs60b4ZQbR3Em5oh4twZ8mvSSUgzS1VCLhEuHTZpii2KT/RcI0wchnCd5kg2b4YHZk3hp0/p3baJfqB6VfqQypVZmMpPridyhGqo8QxQC10FlASuFrovF5SCld9mDh06tOLtLU88JU8+xZ8HDx6seOurHIMrg78/sQDmN7n0v0Lo8ptRldBlOi1/kISNs+fgiF53eH47Cik3vanyFCF/7V7YdeqPGR174cYGEoICfF4+qgahy8nhZPIpopNQMmwYfEkQehnq4V7H9gg1boUAvaZC5MLGCg8zMkS35QooRW1NxqCPVBJ9Dp1MEKjTDBjWD7jvAxzYhfT2OojWboqtffsDnl7w8TgP18NHSXU7wL0rEZ6GKdDjO5SzeL3ihLLTB/+fvfcArKJa14bPueWU77bz33O/+33fPd1GS092dnql9yYCAlJEURAVFVFpAgIKKggIiPTeeye0ACEhIb333vuu2Tt5/vdds2dnEgLqEZHoLHyc2TOrr8l63mfNmrXEd0LIuCuE7rZx/VCx+wvg7mlKJAE4vQfXJg7DmeWziBCzgX1f48qIPqhxdRHI8nRDmpsz1r0zgcg8gzKnIxVaKm0DREYMC93SxmyUvToBl4M8EEmi/25wEG5PHoNDvSn/JHJZ7Cas/xzISwWiziJ7w0dE+n9FmecT0Lv/DfXOfwTmvk3CcS0+f3cemkv4rQBTqoGakAmdKpvVLDmuSd6Ngp3ZzFPTpXMm66o6HWKnjhRClxcwwfNDyfjZjdKZo5CrcUCKw5PYPpG3Z7B9A87R0kGJe4VuE3Zt+RLJGv5GKQgFrg4o9XRFUrA30nsH4E7UFTIEeWoYr0QpYlCd6n5Qpwpd1d3rpB5MXtkARXnYvHAuLvoNRuroV1GdwDOOgNKlG7DFfwhWjhyP/P0nqNd6sNBlkdvSrKdOtwqWuAgUjRorhG40cdNd6v9igl0lkNDFR++hyUD2lxC63HfKz5/cl95f6G6fNgO+//AraMg2YPyzQtQqwddenDQCyWs+xfpRQxAZ2g8pQ4gL+S3ntUsounYSFRHngbRkYPNGnBrRGxZemPD8ESCGxCsdoyePxrVPZhNhpAG7NuL4s/3tQjfZU4MMHx/sn/MyUJ1FVUr8U10MXVEZiX1+m0ncUFAMvPQiUjzccLdXiJjWe/eVt7CfbIhy4v4ityeQumULpRcDnNyHkgVvo8L7r0LoVjj/SQhdIXJXLcf25cvYUKKakniH5SOzj52C+EDnLHSFIztJgHzWVOQhdvhInNBohcgFcS6ijqNi9nikuLgi2ckZn0ybQo2eL0Su9NpBcnKLcDIMu9Cl/x/avglJjn8TeyDneP4Jxf5PISPQF5lB/rjMdgW1ID9rPD1dNDFDjlB1qvseThW6CqckcFXoPp7u+vXrcHR0bENS8qJT7u7uuHrVtln6N7hv24ayP357ymBjkK/Z+974TGwkcr/u2QMR1IE3DA8B3pyMAh8Nsj1d8FloIHLXrbJ5pudK7I/KxqJt6rKgCSL85jqBJtTTNfqdcBdhL05CmUMwat37orpHbxJvg3FtxRKgMJMooRm8xq/dKUVtRxCsQS4zC4lbt+HcbF5dmQRo1FHcXP4aWvZ+iQtThgtCY6FaMPw53PL0ReX7K4AN+7Fp/CBUHyGSzYzG1QVvIGctEWlOHHDiIK4N6oN4B2fUDRwi3uoi4iTynh0qVne8QKSNNavJOPgCpwM1uOHRDZVjhyJrSG/c9nPDZU8t8kaPFqs0V+38GpGDyLjYd4wyyt8JUz1UFyJ+2XxkeTij0NcTNS6eMPkG49hQf5Qtf4capgbm6lwgKRKWubNQ6EEEqvmzGP0udn8ShjdmAgf34/iyz4AseYoYkzodqEq4VoQBIM548Ss2k7hdpDNh5LU0oejMZXz8/BRsWfohUCZ9I20qKULkjHnY1Wc0si62e+5Y2AowafOULBbWjdS6tdR21Na792Jv3/4o8AxFtmsAij+cjyvPj0aMdxCitYHY1H8k1S0vzkG54yl5qlPdD+xUoau6+zk7jWSk4+Px4xDn6YkYN3dYRvUHZkxEkr8HUgI0+CTEEwmfzCdpYxGQelDWKtI//o9haDaLTzykNSqoM464jqiXJ6Hc528o9foL8vyfRDaJuJSNxB28poFtoLBZ7Ntqe/64/7ZxslBtNldaXIzNmzeL3RfkxaR+weL2n36B//jFP+A/Sfj+5he/xO9+8VtM1P4Zxz9+HWlDhiMyKBTYtAnYuROHXxiB5iM7gDtncXLGc0jbvJTKToJ2wxpcDPJDmrsPavoNFfvA4+QhVA3oiRSNE05onwY+nw/rqgU4EuKKs/5uSB43FFHeGsRTuOsad9RMeoEqIA+ZRzbg/KBgYC+lqc+kasgjHszCmfnvkP3gi2yNJ8qceqDa3QXb+vRHyaefkx8rrOWVQHgYTDNfEdvhVXs8hWLPPxL3/QGYT3y3Zx1OraR6s81i4inBLP+l/djJfuEBcrJtYbVCT3UohjAk+iNQ/TabYDp9GZtGT8SuRYtJuPPb4RbUFxfhxotzcWDAFFTGJFAZuI3pQHE2E1dLqBWwEscxzMTjDJ6Ndb5XL0R7+SIhIBi5895H2LjRxHXBiPPthZ1jx5HtcJliozbm77Zt+ZGkt+pU9/2cKnQVTkngqtD98R2/lZXrmt/M8v63//Ef/2F/e6vE5MmTkZPDKxA+XCenLwtd+Tf/X3wb20gEG5WEvJH9EK51QLa/I9JIZOVq3VAS4I2s1Z8CDdXUeTOpS2OcsmsVujwu2kAPXS0RRy3RBRGLxYjsjz5EnUc/IXSruveCxXskDFfPk98mIXTFUhC2b4fbiNqOQE5vaoT5xk1k7t0HXLsgvr+tPbEeaZsWIJZHmg9sJBEXC9NFIvitu5A5YCjujiPijCZBzNsYJN8E0iPRHHYYVTvWCSAuCmXvvI4cH39kEYmdnjAAJ8f3w20qO6/ueLdvbxJsx1AzZyZO+LujejyJ6bCTYiP51AEhuKr1wp3QUDQe2ImjL0/ESRJ5twaMQEYiT2mmumkoF9OnWeTywAEL3To3b9x9/Xmg4C75IarVEaEvfg+XgzxR4fsUagK7okzzDCq9u+Gar7ckdisbELfnCMpyyaDgNjBTnVDzSeYTO24XXtGaF1qR3grwODiLXDGdSt+MumtRsPCK1ByigYwvnrqeWERC2rZapJGMEJ5BwKPkHQpdXavQPXoCJ0eMQo5bIPDaB9KCK1G3UDbieUS4++LohGlkzMRQGM4hQ3Wq+2GdKnRV942ORVJaqlhpONZDgxxvR2RpuyM10BPx3i5IXLGQuuQqIXIfJHRZ5HK/a26yzawpL0Lxorl2ocsit7KPEyoO76Z+mt/0KZx4FUmxMmyuyWRAWUkRVn/+OVycnNvYBr/8x38Q39zyOW8RxGLX8Y9dsPzdD2GOP4uqcBKr+w8heyQJ2henknA9Je0RH0vCNu4iGg+tR+rXS1C4dxUQH43iV18SQjfLKxAxzw7C3VFDkO7lhlRPZ+S+OAI4shmFxKeHgl2QNeU54OIx4OOlyBnUD7e8PZE2oB8Mt09g08zR2OfnjEtDQqFLDaNSEI/xIlA5ySjy80eup5cQuozot2bTbeJCC8nJgiKYX38VN301KHX6M/R+DqgN6oISEu23/B2AudNhTU5H0uET0FXzLCa2M+T/24QuiVz6g+d37UyDkhMUKAldVBH3hkcDhcRv3GZsuzDiyoBDN4TIJeUsRO63Ero7duBC797EbVpgDvFdscR3hYPH4JarL05NnwHcYb7jp4LiFnmR8mbPn+pU93c6VegqnJLAVaH74zoWtlz/7CorKzF+/Pg25CXjt7/9bZtVlR+2k9taFroMdrwMFG9sXkPiRXTECRdxfJCWhNYTKCOSvur3DDCPxCOLGksFxUM0I4QuswY7aTS7hWSPpbmWYqmkeOgZa+FvVMnI3LIPCUH9UOw/ELlevZHtGoQ8j55I7zmUhKJtL2CKT9q11WY9PBCUZ+Y2op2k1Djg7AVkvD4LF7SOwKplsKwnA+UyCeAli5BGxJr/xnTgFBF0BpFdI5Hdrs24OGIQsJPq+kYYqhfPBbZ9hezl7wPXT6N2ykRE+vmgwtsPxe6eSPXyQVnf/rDyJvmmfIR/NBM7pg6mejpDRg3FmUd5OLcP20dRnBeOk1ERSwbCUZR/shjJs18nY4pEtbWC/GWicsF7uBmqQWRvb8R5eggkDg4F1q8UvFh//DRS3B2RoXXBxSAXMiooTx9/ghta9k/GiIc/qr9Yh+wPP8IhMoSEI/HKeyc2ETnz7oXi7bEAD64Q0fMqygReJExaKIzbjp2t/Zv4Gg9PSMaccGYFJbM3Am+CzxDkLfzy6trkz2LG3QvncH7pZ0C1TqQgQicm4+Tij1CdQoKcjQkexFCd6h6BU4Wu6h7krE3UT+p5Yzfqqe6ex8kR/mj0egbmAAfc8O0KvEsisblQgr0/lZ2Nh2z9ou1/dCA/RhJCi0lIkrjL1j5DR2nAON71b0jjxf72bCWP3P8SlG90yfEzm5mZiVenvoQuTzxJNoH0De4//uIf8Zt//g1+8at/Er/dCH6E1f/5r8h4fhTw9XrircuU7kcodHNHztvEd+EXgSzipqIk8TnPmWeHECdR2rfPo3rlAmDvV6j6cB7x1RnoXpyGKJ8AFDh6oNhViwhvN1SOp3izSbBWRSNm0QwcnjyQ+I5+lyWSYEwRb4i3jCX+jqR04yPQfPk08ld8jJSF8wEdCUheBDErE/Gz38HxUCec6uOGu+5uyAj0R/SIXsC+r4jsqhGz8Uvc0LhT+l4I9yP+/py4e/NahPUPQZxWK9b3MGzYhtwPP0bCyaNUScwsJHC5/lqY6/gNr/jV1nG1CqqytRM5+muXTpi5mpTtyXHxoLDEW/Kkcen/PIgh/eN0GDwokXDxEo6v/UIsIMlz1xi1KfFillTx3TvkhweEOQPkn5OVk1ad6r6nU4WuwqlC9/FzycnJcHBwsAtb5dZBPIX59u3bNp8kKkwmuzj+vk5uY/koi1zuhvnIQpdTqieJ0kDixbR2Pvb1dBQil6cQ3QzugaShPiiNPCd8yd/mtvbeLHwlodvcUk8mQTXFwqK4FLvXL0KERwDu+vZClkcI8OocYNRU5LgF4653b9zxDEF2AglFMws1SexKcd8f/M2p9DmqVD/W1Wuxx9cfEaE+JMrd0bxxkShDgVaDXI0bDnh7AFs3UdBa1BPRH+8Xgl1+Glwa1Bv4ag2R/SlcHNYfX/i7oPLL5SR6t+CGlwalGm9U+fgjw4cX01hL5EVGT2MWkX8yUEp5LopA3skvcWUGbyN0ngwBEu13SdRSOya8PA31X6wAYiLIYIgCcqNR+v7b2OerQTZva7CLjJNZbyKe8ngjwAMRIVqU7TsEJKUBL04QYrdl0VvAho8pjyTIV3wqRC5efoOMmpso/3Q15YMMePGM8NtXAwxU9yboqB0ksNC1WInQedEVhdDlt7piShXXp23QgtuUNxQS325zs9q+9xWOfxOUQpfjYKHLAAtl3p9XT21HYMFcTy0JXhikvpGu0TlBvB1WneoegVOFruru63hWC/djvKJxYxUqVryDI4O9hdCt9XgCtwMdkTEsAIYUfjPJg7XfJHTlfq0JV4/uQRqLTS9vpLs9Abw1BZg0DLHOf0GU1hnxAZ6Ivn3D5l9y+rp6REfcxuuvv47/+Z//sdsE//zr3+KffvUbIXTla//5xF/xdrdu+DggANdC/HCjVyCJw0+AdatQTmmWarTY5e0KHNpJfXIZqiLPY0/PAOwI9sXOwQFo3rcROHcIx4aGYn+gr/hGF7v24Y5vkBC5Ze4+uOPH2/MR51iJ62qJ54pjgQzKM4ncyiMbcXLqaOK5a0B+KhBL18PP4+gbLwP79wL81rWxFPqECNx54w1sDPBH7KRBwI7PgFdeRrSrM84GuOBKby8UHSO+S0mE+dVpuOlJHL38PWA78fFeEuRrVwiR2zx1KsV/By3b9lHc1BaGRmElSNKWh1R5sJUZsJ3jdrE1071O4q/Wv3wK/V2ELvMYr9BMNgsPVlTBQE8J8RyLZwuJb/F8tcYuThU/Vae67+NUoatwSgJXhe6P4+S6ZaNr7dq1bbYLksFTl1988UUUFxcLv4/CyUJXNvRYonLXjKIqFK7fhjx/D2R6ueCs719wzu+vSPZzRKJ3d0QPHgacv0RhmFaUvTeRhhC6ksAyUKfPgLkaFw9tx75ho7Ct32CcWrmE7IZ8QW4HZ7yC4z69kfLCdOQkEpGSEDO38Kq8EtVI1CUzVVuwBmOxK6bhch4KcnBn2WKkeroi20+LAvceyHXthkJ/LTI0zkh/awawewvqo0mMliaifPlCbAvUIkXrg8qBQxDZry/Oemlx7tXngbP7UDJoEBJ9fVHuohXICQxForsWFYe+AnQFQGEUim8dJvL+CjcGUxl6OMNKZcTVi2RgENmPHIO07s646e9FhE0EH3cBiDyJiIlDcXvScODyLuSueBO4dAbmJfMR6a5BrLcPts19n6weqrf489Dt+hT48gvcDgnAibGj0bxrJ0zH98JIhlTTXjJCGkqA9ESqCAPVWC30LRVUNSRuU2KAOiLceh7tNqOFjDn+Z6J/0jACt5Vcx7IjUrcPXjDBS2d2Z2tqDsW45/63dfLUdNWp7gd2qtBV3f2cRXx+Qe1eVYHYL9ciztcN8X7uOB/aFSf9n0CqtwMy/Z1xd/RzJLJ4ZWHyLyAFu7cH5HO+YcXd8IuIHzgC4QG9kLD1c+qnie/ibuDo1DE44OmE5EljkJVGApGd1YIDe3ahf9+++EfFJ0z/INsGPE3Z9l2uo6Mzli37GNnZuSQ8c7H5ndcR7/kkUny6Ij3AEXEeT6HU0x0lGjfol8wT600YIy8RNybj6rSJ2BTqKwR4ff8BuBTkg4uBXjB+QQL5wknkEAfG+geJT3aSXT2Q5uGByj59SRDvJ3FJ6aWGw3JuN3B4v1hB+aq7GyonjCdOo/gvHUX1yFGI9fTCnZBewLGTQPRlMV367PPDcHkyieIL21G38i3gZhhKP1+GSC9PhLu5YP/7s4FK4jESzZajO0jkbsD13v7YPnQAjHu2A2FnKA/HUbqd+K6sEJZY/gSIN9Wroxrngdw6NKbepqqXuMzePLJr86PVybPRhNglMONJ/6SW5Nha2bA13m9Cx05x58EeVae6b+VUoatwSgJXhe6jc2xgKeuUf7/wwgttRK78Xe7/9//9f1i1qnVxp0fl2gtd3i+QZSrupmBt36FEdA7I0Dqhad4kIpvtyO6pQZy2K84REVbOfINiaO3+pWnM/JZQEro8lcgE3vSmgbzxc2aAbvMOJHywUBK5Rt6CgO6R2DV9SGLuOn+bKjkWua1CV0k1bcH/Z6Erbc1A/nV1RJilABFnupcHKnzdBbI8XQCetnx0H44NCEXWuV3Ek0TcOSmoI8JN9/YXOO7mitTnSKhePoqTU0eJFaJZ6JoCewNDR4vVhFkUrx3VE4i5iJu7V2LbwpeBK2dxa1g/ZLt5otDLD6XPj0Lx6JEo9Q5AgcYHCf3J/64tuDz3JdxaMpPKeoLq8wjCX38WX4Z0QSRPnz5/Cpg7H3VjSGSXFFI5yhC38BXkrX4Pd3oFo3zKCxTuGuLnvIv01ctwZuZUNB/YgqyP52Px8IEoP8t76vLINhlid65j14wpSFuzQRK7PG1Z3JX+yUK3tX5ld2/9MuxOamoR8nsJXVs8qlPdD+1Uoau6+znpa04SO3ejsWzwQMQQ18X6uMD44VTgxn7khXggweMZnPDzRfXsd+hB+Sahy88Siyfyw/3qVhKFn60lcUaC1kS8ZCUejLkOPW8fF0lirdmKYwcPoGdgAH79j5ItYBe3ZBvI5wwvXx8cO3YChYWKgXB+E11RBOukwUj164Y0fwckaJ9BrlMPYNbrwJmjuDK4D0rPHSShmgckRAmxy2+ZGef9PFE2ncp6+SyujB2BOz5+iPIivhv5HKzPjUWSiyvy/PxweCQJ17CjKNi2ElfnE4+ePoGUwf3FrgF3AgJwYeponJ44gmwDb6QFBiMiIBjYthPH3puBsKVzgOwk4Pg+xM0YgR0BT+PkuBEkgm8QT8+BbgrZFnlZVI5ixC15FxdmTkL0kD6ofP0laoMrSP1oIeKWL8Tl2a9Dd2Q/7i5fhM+nPAtzzBWqAImFKmOvYv7k4dj85RqiOv6mtl2r3IdvJJuF8XCFLvUm9H+l49+KHMkeVae67+FUoatwSgJXhe6jdfJ2QElJSXB2bruYhAwXF5c2U5XZydOVf+g2sRt4rBYJFjIKhbOakHLmJDYFdUHWh6/QBV4tmIRp1gWsfrkXDrxAYuwmr8jL+ZNELr8JlMW9DFlI8wbsckmamnjqjyzJeAItb2vUJCATjn3RI7onGQ4y1bSFPLWIRTG/BYaRDFlDJfDJEiT5eKDcy13s5XrL2w34eBFwZI8YvS69SaIwJ4rINYfKcR4Gr1DotUTQ7lo0TpgMHNiMr3t54ZKHh7R6cvJ1IPM2siZPwlki98vuXsC6TbAs+QiXevVG1c1j0MWcQ9WA3sjw1iBf44BCrTOyPR1Q3z+ISH4DipbNRKx7NwG8S2J38ljk+jihMMAV64ePQNkuEt9UHwZDA3h5JyFEb53GnrH90PDmDJBFhOLpEyhvX+P07PHI3bYM2LsN1z2dEe3hRIJcQ0J+E3hLovJhAxBPZV7WdziK9/Jqz/S3L96SSxK39Y0q1yOnyiZD6xt9meBVp7rO7lShq7r7OV6dl/s7lJfiJomkTwd5In71B3ShjtAIpJ3Ejld74RbPBMrPaOUlflQ6eFx4DQ7hFKslyx7FJ6U2V1FRIRahdOjaDb/6ZetnS+33zf/1r3+NXr16Yfv27ait5e+I2zkLX9MBC99Brmd34jsNyrQeyHZzARYvRO26VShe8RHqrpyg/JPYrMom8XgGVV4+qPX1R6QPccbiBcDODdgaosXpED+kvjgeKImBNSscsS9Pwr4gb2wL9Cau2Q58sAhJviHA4W3ETedR0isIuQHeyPZzRZavC+IDuyNvsDdaznyBqMUvINrlKSRQvvDGa2gZNQKZrl2R7tIFq4f3h/nCSdSXV0Nfw0tQNkHf3ADcDseh8c8B77wLnDiJqheJ744fxJmFryBqzTzi3E9x3t8D0ZruyOntC5w/DFw8iuJBfZHg44lPg/ugYQ9d+5auVehKkPjwQZAb/j4PwH2dHF51qnt4ThW6CqckcFXoPnr31Vdf4YknnmhDYDImTJhAwoanlrY6O1k+Amc38GxCl7tiSexSp8/fcx5ZB5z+mgRkIXmuoMylEfmfQROJLmTTOXX2MkHwUSl02bHI5fhk4WSxfe/JJdTzNgB0tYHS4e9d9Pydp9VIYekuWwVC6LbG3xFkoUtPNcVJYUjo3t69EYlebkLo5jp1Q75LD9wJ9MINL1cSiTuB1DgUXSMyrMsCws9i3+iBqHLyRq2rn9gmICkoFOVffATj1jUoHEuC/tQpireI/JOREBONkunTpVH65Z/i+oCBuDFoMCrCKT5LMbB6pSD+HFdKl8RupgeR/KdLgIQLqF41B7mh3sgI8ECqpyPSvV3E6p4lwRo0HDlKaZDkb5bqgGW/mReT4unRN06K764Shg7AMW03GOa+Tvk4DWsYCeOTh2B4dQpiSOwm+XtiT283hI3vT6TvIYTvtslkoOXxt2VUR+2Frmgi/p/0XTaD24Uh/1ad6jq7U4Wu6u7n+L2rmOvCK83nEB9cPQDc5fUnuM8kvjMmAIm8p+wtIJf4zj4ASwempXaOnyG2r6TFpWxOFr30eF26egvzFy2zbyXIIlf51lbG//2//xdvvPEGDh9uFW3y8ylzrHCmSoTt24Q05ydR4u8qRC5PWS729UKOhyvMWzYCmcmoDjsGVOYQ353CjvGDUezqLhDl64mYAB/Ur/sE+o2fIpOELW5fI41Pol6XCcRFInH6i2KBRha6mSH9kN93CHCZ4qvJJw5cIj4TKuntgzQvB9zxfor4bg5xziUUb3kfidoeAvnengLFvm4oD/RE3XGqZ0ONMDO4Xqzi+1qqszqq8wunga2U1tBhCNM4AyuWAunhaLy0Bzi0C/kvjiO+60F854Zzz/bDpbGDEO9N4tfDBeFz5hO/S7tUmL7FOhCywJXBPPlgcL0r8W2dHF51qnt4ThW6CqckcFXo/rCOSUh2LFh5e6D2JMbgkdp169ZBp+Mpvq11/8jagJNRgHPRSCece56+jIpSHFj+EcyvvYC0gYGoXfeFNJ120TsomzIK1ye8gJRZb0HXUEeEL0siiohJndCeQOQJQfIiRvK2RBY6NllZ3JnFNRbGnAcxnVqOU1x5MGS5i3WbcdgrUAjdOy7d0fzBHFjefxcZHr7I9w3BsQA/Ert7gQYqS0wY8oJ6iqnIF0gU5rwwBtY5c3AzOBg3QgLF1glIjyJFXgKUEvGn0fnHK4hsyfBJuoPMz5diExkVca++LJF+YQowfixyPdnYcEKec1chePH8CBKrZBjEXoDpo1k414vI3tURVWSIRAf2ADZSOixqzXViXQvp01U2qFhymtBoKMONca9hq7YvVr49mWwwSsdciiN71uIIr+ScGI2G1ychPMgdpd4aFBLhF2i1oIcPhYW5FAdF2CQZXmzYMWyV21q9NndvzbaF6lTX2ZwqdFV3Pyf1sORycnF8wQLoX3oRSb1CUf/pciCfhO/SN1E4ZQjCJ45D4uszYKqtpodFEq5N9xFS/BxJn4VIzxMv0hcZGYlx48bhP37za7sN8E//IEEpdHkBqunTp4sZYN/Kbd6G7X6BSPLyRKqPN/RzPkDBiy8jL7QvEj198UWABi0Ht1OnXwZD/DUkDhgo9niP8PdEyfMjUThyKMI9nHE52B9Y87l4i4sm4rIKQtRVqgfiptMkthNuo+iThThO3JLLn9AUJpJoPomWYcNR7OWFci8Su8R5aT2dUDKcOPbKehLYJ6n+3kaYx9/Q4OuHKk9PZJIgxubVlPFaqvhCsRseQ7w9510ZmipRlXkHp/sMxC5PP8StpHYoK6LrFVi7ch62T59I+boMTJiAIm9v4lB34lJnJGu7wThmAOp4MJq3MWSnXETxvo79fBdwmyqhOtX9eE4VugqnJHBV6D4ax4ZVz5497QSmRLdu3XDgwAGbT6nelQL5kThlX01goctgySpy0liHqH27cd2zGyL9XbCjT08cIVK86usk8JWGiJI3XW/jKKL7CF35nzxVWUpYEr98nUUui11++6ukFHsG7Vc7hl3onryA2yPGIk58k/sqsGMrcPEc8OospDhrETV6FHD4IOK/+gS6sMPID+6FGEdXpI8dSddJAN8gol+4EFf8fXDO0x2mk7vEt0ktp/bg/OuTcdnHj4RwKC7PegVIjkb0S1MQ8/JUsYjGRbqf4eYsoAv1g76nv5i+nOfRQ1pt8uZx1Mx9BWd6ugqRW+rcQwhd46uUpywyHEy1YhFHUW4xfZuNJQP9ppY5F4mU1xYQ6SfTNZ5G3ojKogRcWPQBkJcOnNhN4twDuS6OqPTzRo67O7BlC8ckbZ/AbxnMJlXoqu5n51Shq7r7ORa53MuSQkLs5i1ixV/e4uZQv1DEvPIirgY54Izn37Az0A/Vn5DoEyJXek6U/SHbVDywreTxel0tdh/cCa2fhxjYlvn/14Tf2LYHUtoEK1euFAtRfqfnMOwazg4fhQSNB7BgHnDkmFgEyvz8JMS7e+PM5DEkVA8hZt9GlF4/gfi+/XDW2QWl458Vb0dx/DBKR4/EYVcHRA3uj4wL21F4g2yT4/twa8ZkKrcXjg4IRfgrJG4jLiNj/BhJ6J7dixMTh6LUxweFJJxrA7SoI7+JgV0RqfkLTk7xJXG8H/hwJiICHFDpoUGjvz9ifZyA92dSxpnDqkRNCqHbXErVWk4VyX+fdcDew7g78SWgKI9+0jULCeDiZOx/axqQTxy4ezeyXF1RQ+VmoZuo6QLs/JLCsgVD8ZrM1LB8/k1OZrZvC86xEqpT3Y/nVKGrcMqOUxW6P6zjuuX9b3/3u98JAuMFJZSLT/Eb3sTERPENbnv3SOtf7qfl/lvhJLHbhMYmIpwvP8KhEFeAvyslZGl6iOm41z8lUjWXSQGEs0VkE7rtIQteeYo0b13DE7bl5Pmc5Jj0g7xwHsi3PZutPttCnroMEsoCukrk3QoD1i4h4luDL4f2RSNvzl+Zi6hta8kI2IvIt6YjwsEZmPE6CeP9yHrjJVjC9iF+zXxE710NVCTh+hcLELbyPWDDF4jvHYx0jQYZnp44EeqF8Gf7ofkyieKYs9Cd2oLCnZ8Kkt0T6IYb/h5IH0b3D29Ey9GvkNavJxlPbtjXVwvsWgMsn4srAW647OuCMB9nlPp6oMTbHelvE6lXZFGZJMcbGfCmPUYifTMv5sWk3Si9/ecp5Q1iojfXZyMZFJGoHhaKFB8HZHo/gwyvp1Di4whdXzI2LkSKipW/vWajjuvW7viyoqLlmmU/DPm36lTXWZ0qdFX3ICeErpX61oZK6Fd+gCO9SDT69oBZ8zTivbqJXQYurl5IHWKF8K/nDvMBnSLP0tq39wD69x+If/znVoHLtsCvf/NL++rJPG155PAR2LTxKxQVFdlCf1enR37EJRhWrQAO7sGnY0ZDd/UKUJyC47zv+pGdiCKResfZE3jtbeDADpS/+Qparu3BwZkjcGX/x7CU3MLRedOQuutzYN0GZAT3RIGLJ0o1vogI9EbigN7Ek18D/HnOgXVoWL8Y1p2fYVOII6J7+SONOBabiQOPbUNxz0Bk+XjiZHAPYD/x3ZplSAzywAUSuDdCtSj2ckOWS3foVi4FygokkqEG0IsVlEXN2vi+BfUN5cIuYEuJvdU30y8d2Rw3z6FpYBAq/JyR5e2MDK0DilyfgZm/2T1xSmxjx/PCeAD9m53McN8WNqK0Q3Wq+/GcKnQVThW6D899Ux3NmjXLTmy8sIS8qvLvf/97LF++vI3AleNiQ+yR1z0nx5D7b5vjUyZ+XhjCwhRTnISEV0aj2bUL4OkoFlfChJFAdTYZB5LRaG0yCYjQHYhcRkdClyEnz4TGkLmDiY1827OpzLA9LjqnM/LL6VIIhoVEIX/rc2YPLg0OQOrqjymvxXSpWlp1MjUW16ZPQayHFolePkLk4uoZxHz+Aa4unintE1iZTMd4oDQJ2SMG44a3BwoCApHt7SNELk7uRd2xjfhyVJC0cMmV/cD5Q6hd9r4QudjyJRB5Grmfk6GxdROyBvVD08blMK5fijA/F9zq5Q189Rnw+RJUkSHB5L8n2B3gbRVsjoUug0Vuk5jWRU4Un1tHmtbN9Ya4CGycNBrp/s5I0HYFxvcHJg1CgbY7ir0dsLb/GDQdvcw+xXTwe4QuV6OiouX2YD8M+bfqVNdZnSp0VXc/Z+v2iHxq6IQYqCAeqTPHweD2BKq7/l+kBjij9lkSeuXp5KkRteSHIehH4ZqI/zIz0/HWW2+J/fH/1//6V5sdIPG/Ev/4T7/As0OH4VqY1C/Lju0y2SnfDD/QNfFiVBTuygUc6h2M7H176Rrxn5XKU5gERITh2sRnkeQVJFDz7utih4Ajbz6LK4teBmqJ7/TEdwUxQN4dZPXsTWUOQrG7l0DG8EEkoHeTgNyEvc8GoHA5ieXT2+n3FuQtm4W4vkHAzk3ArTOo48HvtatQ1ieUBC6df70Ud7wckM7TlTetAr5YikKtKwo8XbAnwIv4jnhTonEhco3QCc6R/gqZqcxillk9XWCRK65HX8EXo/ojx+UplPs6wTpmMPTD+6CCxG6hy9P4sm9/NB06yj4prtb6vL+TGe7bQn5iZKhOdT+eU4WuwikJXBW6389xHckrKSsdv6XVarV2MvuHf2hdSfFPf/oTTpw4YfPZ1skG1o9W93J/bRM8Er3wOV2sI4H10TTc6dMDxZ4alGh5MQlP5Hm6oW4lCcgC/v6TxCaRfLNYfIOIwLaar71M9t9cVinajiDTiOzo0gNppLXObOTD3+OIb3K4BE1oouc6L9W2R2FLM2WhEeUVlN/cSBK714CQPqh2dEONhx/qvQIRPpnE++k9MGcQ4TO98gqQhWnI8vdCitZNiMZ8TVdkz55KxsNpRJNYDfdzRraWV7cksRt/lgyIPcDZ/TDOfwPmT5cB6WRoRJ6ne5Te1VPInDMDYQODxQqXzQfXCjRsXIq9g31x8lMyQGrI6LDlXwIv0VVEZ7mUo2I6VlIRpU3r6+ke71SMyBh8/exoHPQbhKSps1FfXSqQ+cYS7PMfhi9CR6Bhp/TscYy22mp1bFAJo6ot5H+qU11nd6rQVd39nL2HY6FrqgNWzEL6EE/keDgj1bErCqnfL/DqAdNy6s/LeQYTiyfqSRWPCttSc+bMsc/iYoitgRQ2AON//vhHvPn2W4iNj4Ou3QKU39nJXTXnx9iIhvJyZPN3vfLgMmWwrLAAzRGHyDg5B0tIf1S6+SDPS4MCHy3yl75GvHQO9enEOQbpb6IlLw/FQS7I9e0uBl/zNU7AW5PFYoiF/u7I83VFlE8PYNkcEpzEa7yf7vlDqFkyBw2L5wN3iVszooDbdO/iYUS9ORkHgz1I8H4O6+4vgMNfofyz97CjjxuubiD/tSmUfapLXuODF/giG0KParI/6loXkuLqNkmDvrxZIW4kYNXIyTjkOxBxL7yBuqoSwXfhr83FF34DsGX4eOB6jKgaA/1frqb7QXWq68xOFboKpyRwVeg+HKccceWpyr/97W/bkJqMIUOGiIUluG47GqX90euck2fYhK7OtqIkGvU499Vm3Ax+GjeCnkKeKwm6CeNQ6u+NAq07DvXthcplS8RCVELkCnKl8v2dQleG7L4NEUlp2NLlwE10brVNdLLyOYGedf42lceMY+NuitUb767/EHpPHwEWulXuJDSHhwK7v4Q+lYi6mQye/BRsnD0dmX5aIXZloXtuWCCwdx2w8G1c9aJrfh6o6hOIUyN9sKe3AyrenILrPGV441pg61e49uGbyP76U+AEieBLx4BT+4E9m3B26mABFCeSCD4CVERTHvMJsshlmKlpeEpbBTVNjRC7LHSp1PTLLIBGMpiu30LOGwuBqEzya3OJpUifuQjWw2FCt3Orcoxcp4pqbq0ne41LUIWu6n4qThW6qrufs2+nV1eGW5vX4W5od9wJ7io4Di+MRZGvI3I0XXAyNBS6j5bAVM/PTwtqK6px5UKYWDjqN7/5TYfcLwvd7o4OWLJ0qRC47O73lLV5/r7pUZS7atGzE7gccj/OXNzSjNg7xGUkcu+unydEbp02wL768bFn/WDYtAjl8REUroF4qBjr338f2V4k7gMcxVvXHNceyB7kJ31yM/8tpLh2QVyQK1L7eOHysyE4FOqMtJmTsT+I6uor4kTivMil7wJXiOdOkgg+vVesHYGLR3BgRBCuvjIKKKI6uEwcWMOLbZVQ1jsWuuzEt7tMWlQXLHJZ7PICE02Xo5EwaRYQmUE3uczkUksQ9vJs4AJxfG2TELm2OWYPhOpU15mdKnQVTtmBqkL3+zmlQcSLT0yaNKnN3nfy+b/+679iwYIFoq4fZ9e+w7c/A7klOPP+h7jlGIoI5564/fnnggwbV32C/b2CcKLnQKS+8iasTTriVF7eyBZTO6HbHu2F7f3QPl8dOvInC3S7fxvv8b0WM/1gkSuErnSjaeFsXAz2ElsPxWtdcWFAEE719kGGtzfSvbygv3SB+LcIec+/ijCvPgj3+Qvyx/ijdNNn2P5sX6S4O6O8dwhw7GsUrPoAub7PIMPzbyjXPo1i97/haF834AAR/heLkLtvA5pPH4LpOBH+heO4NmYYHQ9Q2K3S1OX5RNYpV2E6sw2ovEuiNYVzqAAJWQuvIMnTsQsJLIQrCbyQB19no4u/G6tAQWU5GQlUA1x5wplQUVkgnVJUXAMco+xap3xzvci11ypw5X+qU11nd6rQVd39nL3Fs4twaOoM3HL1RYS7PxKW8y4D9dB9/qH4rGRDSBCuTX+FOtJa3L56Fm5uTvj3f/9fdt7vCAEBAVi/cQOKSoptibSmp1x0Ueww8B2fP5u8Ff26kYPxDzry70Y7B5BbMBvXAjzE4oz5vYMQNdAfl4PckO2nQW6AFki4SuVMQs3kmYjw7YvLvTRIen4ArFvW4diwvkjt3h3lfv7A0TWoXPceUv26IcWnKyq8eWcBF+zq7QXL5lW4uXYx4revgunsATSSuG3Z+gXOjRkInN1FQnef+Ia3culsmEpvIPfuQWlg15BKpEQ55oFyzjLDbKBrZE/wBDFhVrDo5U93iPOapb9dk8WEkhrmQwqgWPm6pKxERCFznZF+td8XXq5zGapTXWd2qtBVOGUHqgrd7+fkt7J3795Fjx497KSmFLt/+ctfcPLkSeGPHYfhuuV6l88fF9e+w7fnTU8CKD0PphfeAd5fRaREBMRTtkvy0PLVOiS9NBO4k0g6SU+BmFpsMT0koSvjgY7vs04jsF+7d0nTEttRfnirJCF0LSjKSsWtgaEI7xckhC5mvAQc342Ul8chxcMDCa6u2PrSi0AdicjFa3BR0wt5o/2A0xtJU+bScR9yfLWIeuYJVGxYQsbRbdQP0iLF7U+oIvIv8XgCd14cLL7Z1V8+ApQSkVfkie+kDvf2R+Xi92HZsRr7hgRS/O8CuzeibA/VbXkStrw5UkCi6FaY8xNxh0fHefRbiN06tBgLcefoJvrJbwjIEGguFkUWQtdE4agympt5aS9qL24WczMM9Nwx5EpikSvtp8sh2ZOE9v9Up7rO7lShq7r7uSbqEM3MEbWkqqKTUD/uZWD2Qp73KmbC8AKBLRtX4PjY0Yh6exa0zs/g33/VVtDK63Aw/vf//t8ICQkRe+c3NPAApdSzyk4+F9Ql+FDCd33+ZOEmQ7z+NIpVNdDAn/BQt54em4KIUB9cD/REip8nsOZTIPYayqePR6KbA2KduiBiGfF7WQoJ4hW44h6I+Of6ihWVeVFHHN+PCv8AxD/1FCrWziFRfAbF/bVC7NYGeKPQzRFRM14ATu5BwfFtQD1xXXmWELrHhvVEweLZ0G9ZgT1DfIFtxHO71yH+6mbKYCw2vTMKG2YR37HQNYllKKlyqC4yUpF14azE4VxZLHSbqhF/icQxx29z5JPajl/vUukJMlexPmYeZJErC12GXE8iSgVUp7rO7FShq3DKDlQVut/d8ZtbrjO5fnbv3o0nn3xSEBuvqPzP//zPdqJjksvI4Ck1rY4NLVng8vFxcHLHL0sq4gIBQbr82+Zqy2pIWLXmuaWlFpamSpgNVWgyVrddhEocKXSHQpfDCg32ncBhO3KcGoMpTtCcbfo0izf+bWyx0Dnlh40YzpuZrRY6nt2Drb01sLz1CrB1LTCVN8PfgrMvP4sjEwagJDmSvNHfhLEON3d9jfI4/maX4hXC0YL0sOs4+zWRekkqsl+bgEI/D+R7uyHfx4nOXRAf4g0s4++PsoCcKDIWjiFs6GCUPzsKOH8Rl57rh10Brrjh7wbMfxvYtQPNU6cg1csTCe4u2Lv4I0mskmvOzYVl4itI9g5Fy7bPyPgoIKMkHpVL30CMpzNaXppIYjeRykhtZGWKpxblpmLwNDaqO841m1uGZou0P7IQu0z+bAxwDcoB7gfVqa5zO1Xoqu5+jntAo4UkEzU98yHqJHEqu7yUTCx89wP0dvbE/xIcLw1o/5KOv/qn1s+V+NOl559/HhcuXIDRyK8i27r2vSo/ae2vMdo79sfgfDLkJ1S2I3hmDsMeA3Gd2NeeN2TnyzvW4/TQnsDGlcC+TSTieTGqc7j88kgB1PAAKnFHbR2OrV6NsgT+hIb5h1MDcs+exO2tXwPR4QgfP1KsQJ3k64Bkt67ID3DH8RBPVHzwhhgQQPodYPN2nPINRNHE8cCJYzg1PBi7QlyRGUxi90sSu6f2IOrZ3sjWeiDZuQf2LllOBEUsRck1pReioP/ziNWS2N53BKjmKdWpMC57j4S6DzDvA+K/UiqbjeusVM8s8C1yrbTWl2yHyJAHFGy1ZIfqVNeZ3S9aDWwVsshisGhjREVFYejQoairq+vQn4p7UVtbKzZ9Z2L7p39quw8e/547d65YqEoZhutUCeW9HxNNNphtaGFxSuApVfIIs8hvE50TkYhw7KelntBAMNhAxKqElcIQ2pe7mcIyLN8Rcnhl3hmWdr9lNFEeLCToDM1svFgE6bcw+dO5tZFE+o7VaLl9Di27v0LasN647eSAmhHD0HJ2F1oiTsFSkUN+9Wgx1KKlsVKEa7GYSOhyWW31QencnTAEh/0ckat1QVmQN5qG90GmR1fcIeEbE+iJS+sXoyX3DlqOHMaN50Yhd8BAtJw6DfPapWIqXGSIlsSuOxF7X0S5uSDZ0x0pWg1iDxxCi94o0og5egxRTlrcdfPDnn5aWLasROWyN3CorysZAy642vVviNj7JZWvmvyTxG+iPJopf7Y8MhoJ9QQWudzeLVyXJIINVC7GPe13D1rjUqGiM8JKzzsP7I4cORKVlfw3fa+f+/UzKn7a4Le5ktBVXCfeSYtPxVszZuHJ//mz4Pd/JfzeJnIlSN/fPvHEU1jxyadISEgQLw3kONjGssdHsAut+0C+rwzDkO8z33H/zfzMUN432/txvmY7Uhla6ig/W75AS9RltKxZiiuhnrjh1AWGiWPQknAFLVcOoqWyiPitkXiD8lteIYW3EP+Zbdxu0qElOx3Xx43AVh/iKeK8/L7eMIzohzRNdxK6Wpzs5Y1LS99DS1oUWnbtw+0hIxDdrzdaDu5D0aI3sTvUDcm+GiF2Y0b3xxESy1nEdxU9g5Fw9CTxHdlMhhYc/XwDbjoG4IaDP472H4oWErt1C2fhaKAropwdkR7gh6Ib4bZymojnKG9NVBeyfUKQ60m2Q2TI9SbX8/3qW4WKzgRV6CqgJHBV6P594DcCoaGhdqLj6UrylKU//OEP2Lt3r90vG1ay4aQ8V8b32IAJkdHuuplIromMADtxMJlYmUiMAs3NFgEhJNtAIha5zK3g54uJ+sGQ/cvEJKfD16S8MZHzOQ8oMJiQKd30LFTvI+LWkyHbxNN7q9BSX4qq/WfQUkSET/mP3rIDB0aEoOX8PjTs/RxV2z+GZfNn2N3HC/VfLkXL4c0oOXEULbWVJBApPKWjp6OB35iSkGRitVJ6FhLCt4e/iEOefRE26Dm0fE1tT2mVrFuBY85P41qwFhFff4SGiGNImTkNLdcvoXj+O2g5tJNE9mnkrngX2b0CEOflijp3b9S6emHvUH+Ytn9G6TABU3mM/O1zE+oXvoujARoUe/qiROuHOg9HNHg6Y11PT6Qtf48MHR3lpxHNZjJWmPxNbJxYUWEwUt5t7UbC10j1JgY0RP01CeOIBwVkWNtB8kegNuno+VChorNAFboq2kMWOk1N3M9J1ywGM/ad2AvvUC/8wz+3DmIz/ok5X/H7iaefwgfz5qG4uLg1XuI9pXiSeYyvMY8yZOGqFLDK6/a42oEHLBnSb8pzVj7qrt4kQWokriAObCZuqiyA6fw5Eq8kWE21SN+7FacnDEHL8Z0o27gEJV9+iKY1S3ByoD9a9q5Hy+4vkXLhEloa9TA21xEnEIdYGyRQfALEseUV+bgx4QVs9fLBzlH9iD8PkYhOQ+zauTjk6oiz/l649tkCmG+dRcLUFyneXcj7dAFaYkhMRx7DrY/fEAs6Jno4o8HJFY3O7tg+KgDW4xuJl5iLqDx6FtqU59cm4XCwB3I9nkBVkDMK/Loh1+sZfD6wB/I3z4PFWEt5MtLfNHGdEPhUHzJHKewHHthl8EAG45uEbutvG+/dg1a/KlQ8LlCFrgJKAleF7ncDv6E9ffq02CJISXwy+vbtK7YW6iisXNePdb3eR8gw+fAbUb2VR7tt+SehayUxxeiYDAjfQ+g2UfyyfzsxUfqy0GW0piULXSsM+mrcWvQR1gwZhuizRMJmIkMSuoe/+hyfDRiN+M82oaWBjIG0LLRc2I+6jcuh27+awpYQuWag5TKJ293rkLv4LbQU5qFFV09lroOOBK6lpYHKywYAGRQ8gkx1wmK35WAY8qfPQ8tGEq+7jyH3syUUzym0LJiN5rmz0JJ5Ay3Fd5E3500kTifyv3oWES88h8yldC/mPPL6hiDRTwOTb7AQu1FvTURLdQbVu4nSprR4RJ2EbktBOjJfnYRsR3dUkt9ql26odXdA/urFVKZCEqkNZCBRvjh/FgpjG5DQUXsJoUvnDBO1oRiwoPw3N5spHVXoqvh5QBW6P088qD2VQsdKfebhfQfRMzAEv/gl8Trhl//YyvH/9E/S21sWut4Bvlj40SJkZBOXUNg2aVisEmdxnPTMifs2fBuhK+enI8hC10LCtra6CueXf4qPnh2LvGskJpuIj62NOLJ5LVYMGIBby5aipSQHLSRQW64cR+OmlTDtW0OCNhcthlK0RIehecvnqF9DHMJC39REedATR/BMLT3198R3QuQSnwgeoPjPnEP8qzPQuPcrsTDjzY9nwRS2G+b576H2nTekt7ll6Sic/Y4kdq+exLmpo3Fh7hS0pF4WQjdJ4wKL1hc6Fw+cnzmKeDbTZmcQzxlt9ZgWjYyZk5GneRIlvt2Qo30aqS5/RtH2hSSu49Bsrqe8UR6FyJXqWPAT2x1U/1zv3CZssxiaeXD32wtdvm/nvXvQ6leFiscFqtBVQNkZq0L3weCO0mRiIdeCiooKvPnmm/fdPoCnKnOdfRPap/FYQBYwDxAyct7blqFdx3+f8LKA4m9HhWCrJ9JsoHrl0ecmM+qIVPVMoHqCgQUri7sGMUW42SZg5be5LHZbDETCLOSu3CYSp2eWDQn+btpohIWM2JbTV1A27iVcD/VFy+Z1sMyehBtB3XHHwwMRri6IPbmP4tQje/G72N7HF5F+PmhZ/TnlpQAt1w/CHNwTRQ7OSJ81l8RlFQlFPeopj5YWnhZcT2RZReTJRjI/G2QIlKah6tZZMibIeDh3GCe0brjRvxcMh75CS1ECWvJiiMjJ0Di8A9sCNdgTrEHJh++gJfE2iqY+j3xHV5S6aZHg6YIUbw9E9w5Cy/pVFDfVH9WPngwNFr0tlVmI/fAtFHi6ocRbg1JfF2Q4PQXrZha6aVJ+eKoZ1xlPXZbbggWvTfSKa/KRjRkLv6GmZ91M5K63jYrbBjNko8t+7T7tq0JFZ4EqdH+e4PaUBafymnzO32svXrwY/v7++Od//rXg9PZ73zJ+/etfw8fHB9u2bUN5Vbk9vEWILeImBXi2k7GJ+EFHfMYgAdpiYA5hO4tEWi31v3V0zdY/8ywb5Scl8gCknEbL+VskIEl0Gjl+DkP2ya0ItBw9itIpU3Al1IM4ZgsM703E5ZCuKNJqkeHohLtHjpJfC6qXzyHuccUtPw1atm4gziC+2r9O7DCQ5OaGa8uXE8fw34QBBmslcVyjgBC8QujydGziP1Mx0tJ48DYFVXs34obGFZE+xGk7iEOLie9S4tBSTSJ6/x4c8vfBPq0T6hbMRkvcTZRMHIUaTyc08mc97t2Q5OOC276BaFnAQts2qMtHthUa05G5YhZKSeA2hDijyO0ZFLt3QcuuTWipKqS8SLZCE9V1s6gnhoXqzQxTM3GhEP3kx4ZmyjuDBzMY9nplMCfa2pDr3cR2ShP9pjpu5T05DRn8/Chhi4shh1FCeV+FiocMVegqoOzcVaH77ZCXlyfIrT3pMbp06YLNmzeL+vomdBT3Y4G/u0OWO3zb7/uEtwtdFl8WIp+CUhxYuBSRJ46Tf4sQVDXN9Qj/7Atc/3Q1XWOy42m4RHjCaOD6k0SYELokctPCzmPTqBeQt2mXPZ2WzEzsmT0btVNeQ8uZqyh9ZZIQuzeDeyAi1BG3icxb3n4bLSYyNgxVSP7gdWwi0XnTS4PE3qFIWPIa9o/riTJnN5Q6uSJs1EQi50wS4nUwEXlaxVvdagIfWSDq0GSlY1MFGSz5yF2zHEXrP0XL2ZNIHTcazSe3w3xsCy7Mn0GCPBEtUVdwcexQFM1/Cy35Kch54Vmc1jqgyMUDVV5+MD0/Csle7rjq64Fwfy3Obt9K+aQ0KG0DGRrJy+ZgY38/5Lo5IcfVETluXVDk5YjDg8nA2fUJ1QsZJPym2UywsLFAz5wY3aa6YdwjdCUjRldvQpORfxPYn9kEfUUZ9HSU3vwyqP3u074qVHQWqEJXhRL8Pe3SpUvxxBNPKHidP0P6ZZu1N/7zP/9TLGB2+/Zte9hm4iUzr9nAM42E0Gkrdu38VVKOox/MR8x55jt+O0r9tKkMESs/R8wXa6nPlp417mvtQpefQTo3Wk0i7qvXr2D74OdR8eXOVqGbno6vX52OwhcmoOXiBRS+PBoXg1yFyL0a2o14gvhu6kskPospPTPKlryFI/28ERmgRXyfQNx5dwoOPBuMZHd3gb0zZ6Klpoa4ToKhpUESunKeBV/weSMaG3NxcuZEZH65DC3bNyO5TwjKdq5C49GvETOD0mSxe+Mazvfvg6oPZqElNwUVU8figqY7Sp27oMHXHfrnhyI90ANR/sG4TBx4+uuNJG7JBmWxq29A2caF2DnCB0Uef0O+219Q6PI0Sj264fDQPpLYtXKeWJRyHcm2CNc7DxBQHbFYlSHaRipDZQWXydaGXNcmOm/gN8Bkm9A1FrniW2cWuarQVdFJ8AuZuFRIo5ryOU/FZURGRgqhywssdeTv54zt27fDwcHBTnhKDBo0CKmpqWJlRfbLdfYgtI/75wOzDQ2oyohC0YskQIMDENMvCM0bV6O5MB6li99EHom9bI03Tn32IZqr82BoNsJIJGblFZSJfAxNHEczjFm38N6Evrjj7YxYf3c0k8BsjghD8/jRyNG44oqvG4xvvYrmrV+hKMgH+R5dSBg+jfjl5K+xEfVE3I38ttiQjf0r3sJ1It8ofzeYNF4CUX6eyBs+EBWpd235JiKlMKIsFguBz7nNpfw0lxQie/1aJHg4IsNPg+bPFlJ+zqP5q41ICQ3BST9f5L/yCppjb6M5LhLNRw6i+fQJ3Bk+AGf8PXGxXyiat31F+cnCuS/ew/GAAJwJCcXJRR+jubQazWSknPx6M0o1fVGh7Y+LfsGwzluEgvFjcN3fG7d9XHEnQIOUyxel/FB9NVN96W3gwQFp2nc9oUHcE2/IG6rQnJaIu29NRd26ZWiuobANhIxo3FrwJtLmf4Hm9Bqq/2Yy5tT+QEXnB6+YzwO7LHR5lk5HftT++qcNfgauXr2KOXPm4KmnnhJcLova9gtL/s///A/effddhIeHi4GRNvEQuG+0X+PPdAgG4gVGc3MN6ktTUPryJFwO8EZcsCeat6xFc0Ui8pfPQraXL1JcPXBs9RI01xYKrpNgFTCJWUzNaEhIxftjX0CkpwbpvXuh+fO5aL5yEMYJoxDl2hXnNT7Ed++ieddapAU4IsezG/K03RGx5G00Fye25q06DhGr30G5mzvKXF1RrfFEhbsHoonv6iaOpfvl5JfTbSTeqKN60tNv5jnmP8qXqZGOxB21JTi9eC4yXFxQ6O1N+XkfzVcPoHn9GsSHBuJMgD9SJ74gcWD4GTRH30DzgR0omDgcl3wdcbynG5o3LEVzZRzurJ+H60G9EUacdn71CjSXFaBZX4m7Ozciy80LeRo/fBbig+TlC1E0bTrOePvhujYYN316IfoacT6VTUd1XUt5brYSpzOaKM8Mq5R3uV6bG7LRfPM4wl+YhOZNXxOv2tqtJBd3ly5AzkLKU0YeXbPC3Exlt7XnfcFh74fv6l+Fiu8JVegqoCRwVeg+GDNmzGizXZASM2fObEN8BoPBbiDdD8q4f15g0mfUoSE3DrkTnhdCNzzAE9F9AxE/83kc7q9FuqsGSY4uOPvFR2iuL7ILXQsRvtliFkaFiUWcPhdHvpiHm+7dkRjsRUIxEBHP9keWuxOyPZzFfoHNnxNpvT0TWVo3IXILPbujaucOEpN61BEp1rLoM+cS2eWgZMxgXHXrIkRuTXcnFI0aQsRNJM0kb2FhSOTJRxa5XB4rkSCLXR5tZ1SWIv2LzxHn1gOJGidc6K1F5rQxSOvVEwmBATjt74e8aS+j+dRhZM57F9dHDUfuW2+QYbIZsZzWehL7CdFEzkSyDWmonTsX5bNno7mKyLuB6q22DqlXrwmRm+MQiOYPqWzlNWiOuoWyKS8gzKUL5XkQGQnFVCbKqxCy1m8WuiRyj06bgq8C3bC7vx+SvyJjpcRApP8eVvX3xebQ55AydxUa9WzwtG9TFSo6H1Sh+/OFTqfDlStXRNv//ve/b8PnPCVZ+fv//b//h2XLliEzM7PDuBg8+CcLXfG8WAgkaOxC11CM4qwopD03HOe83HHL0wEpffxwYcoA7OjvjjR3T8Q7OOPEmmXUb1fZBZksdM0EEb++CafWbsQNVxchdsP6uOHWUD8keLsi3ssZ1wJCSEDvRPObk5Dq7yCELqPh6BaRB5FfFlqmLDTXxKN5yFCUODkLwctCN50HWk8flfzp6lBvrbILXSsLRyF2jTA36ekancfcRNjKxcjz9BS41s8dea8MR1xIAGKD/XDMywv6eXNRduBrnH1/BuKG90fxyyR8j+1EydTn0LxqAZojzxKvJRG/paJ5AQn9uQuJ/4hTGfWlaIi4jMZ+Q5Hh7Im7H5KQri8jwRyLvCkv4YomEEVjpkBXzmWzCqHLOyuwyLWyODfZYBO6JrrPaI46ja2TB+Nrbx8cGzQY8YdOo7mgAtfen4Uvh/TBpsBeyF7wEdV9o/TZlFKkdgRb23eI7+pfhYrvCVXoKqAkcFXoSmDjR34ry7h79y6CgoLaEJ+M//N//g/Wrl3bJjx/x8tH2UC6H5RhflawdfQ8FdbMvwvTcPzNl5Dl+hSKfRxRqumKCu8eOBrQE3VMeuynyQIThWH/ZkFUUh2LuBpt58s+wYWefVDt9CfUuvwFie5dUUKGRPPu9aj/ZD7uEvFeJ6Ebp+mBFF9XRIcG0T0SuzoSuM2lZEDEwXqe2rKvB8o9/oZs7ZPI8XoKd/t6o/ng1+SH2sxkEHkw2CDyz6Rq4TwYkV+QjlvPEXkfPw7T/Gk44/cMylwdUezUHfFaV9xxc8CNmUTy10+iecJoJDl3JyOkBzJJWF/eSoK+IR31lcUw1lXCyAKa47eQwDXVE+E2C+htBo8xPgPn11K+LJwH9kf5o3o6vnk9rGX5dE0Hs4X/hnlQwZZPU2PryDznmb9VEkKXznNyceyttxFDxk6Sjy9yqY6ap4xBoVaDHDcXrAlwR8HKD2E22kbyRZwqVHReqEL354eamhrs2rULgYGB911jg8GD2s7OzliyZAlKS4kfFHGwSGaev99zwc9Vs5n6SOqPRf9MaCKuEkK1IBUnXp+Kcp62694NGS68uJITwvv0QuOc2RSG/BjZL/fzFD+nIdKxDawyahtQ+8ZcXAkcgCqNKwlUF1wPdsTdQd5o2rQOpcs/RKzWG7dd3BDv44Nkf38k9umJ5vXrKG7iBgYP6u76BJW+T6DG/2lUu/9J4E6fADSv/tieVoOV3+jywD33+ZwHCVbigIyCNOx+dQKK9n2N8pmTcD7AFeVe3VHg+iRiA31JzLvh4ovj0HwzDI2TX8YNNy+kunshzsEV51aTmG3IR25pBkpq8ikNkzQgYKsve71ROsz3WcmpuH5Remsro7S0HDvWfQlrTS3lh/OkqCMzwUB8SfXOb9vt17l++ZiQiX2zFyDRxwMJ3u4o9vdA83ODkRTggFjvLljduy/SP/0chqY68k98yeEYbHN0BGUaHeG7+leh4ntAFboKKDvqn7PQ5fIxOQmCot9MYg0NDThx4gSefvrpDomwX79+uHXrlvDPb3A5jPwmVxm3inagTt5KBCbexvJvPRmYOQkwDgpCvrY7Sjy6CLEbO/5FaaouGwvkj4WuJHbNgvz4GsfTXM+jzHSMS8TFXn3R6PEk9J5PI8mjG5pfGInmO5dxbngvIXIbp01B8+QxiPd0QGSgH275+yD1+mFKoxim06uwaYwHqrVPodDpDygO7IF8vy6ICCZx3N8Xd86cJvI0UtqtQpchiT4ZlJcvv0TEmNFovnYQaRP6oprIvtaLxKOvBuVD+6M5Mwa1Gz4mwncUyNaQseNKgjjyKBkgOTDUssHN07NNktglkSuNRLemKQQ2E7lIn2BkA0F+7uhorIeO6tVkrqHfTUI856Umkh+jELpC7DbWoSYnE/p6nqJGv2uJ0EnsNr86nUS5FplaRyQ6P4Vcd1dkuTghY8n7aC6R32hI9a9CRWeGKnR/PuAdED777DMEBAR0uLCUjH/7t38TnyGxGO4onm8D8bwwbymErpmPfN9C/Xl6LGp8XFDC6yp4O6DQqweMH7yH5nIS1CRyeRptG6Er4iVOMBG/NNl+n7qKsID+QuSy2L1KfFX56ig0h53FthDiKw9PNL/zLpqnTSPRq8UtHy1uensi/twOirMYRTuWY9UQDSp8/oZSzz+j0fsJgat+7mIW1LUDB0Xa/PazI6FrIs6wEC+VHNiCk3NmoPn6aUQNCUGtv4sQu7eJ81J6h6A5MQqpC+YgwtMXd/1DkE7HFDctKm+cFEK3SldKcTUSr5lRa+IZRlQ2FoJcDwxb2aVjB7CJRgNxmjwAXpuRD0MaiflGiSuZs5t1TShNyWoNV0/lSMpBw5gRQuyy0M1064YE/x5C6Oat/RLNxaUwk9BXha6KzgZV6CqgJPCf+xtdZRnLy8sxjQiCSa8jMuRpzLIoVkK+xiO+HN+D0D7szw88UkrPWGUcCjctRGagAxI0T6LIVYNKLz/EDdCieftnRPokdnmKLZODgmgayHDgN5zNBiLgvCI0T3oJqUSitwKfwRWvvyDT1xNpRLZVy+aj+fAu3Fz5HqzhJCYv7MLdD6biUKAjIsf3R2nqNSLUPCQO6YmLJICv+zkj+7n+sNw6gT2zJuA8CdWr/t7Y8sJEIu1k6EkU8/dWkvBkQ4BXhNZRPsiAYZHakARL1mU0r1yGtNAAVLk7od7LDbkUb+2AADTv/hrNF0/ggpcjLvk4I8ftb0h3+APC33yBynFXKh+JVh79l6bCMXmTkNXTM8PfEfF9nQVVZDCJb5FsQliIVQE+t4lu/l1ehStLluHghKloPn2JwtMzaqH7uw8gqu9gpK8hY6g6lsrC5aK6jopG1tDhJNCdyIByRD6/2R0zlEif2sDAebNB5E2Fis4LVej+tMHtm52djbfeegt//vOf7fwtC12l4P2v//ovscDU5cuX28zoYjzoGZDvKe+38WvjqyYx6Ej9cV080j57A/kh3ZGs/TOqPLqi0r0LMgb1Jp7aawtDwpLjIbBQk2YOSQKzuYHivpMC0+hBSNGSKAvohjs+TxPXuSHLT4OMFR/CengnalbNQ/OlfWg+tx/Rc6Zhk4cjwsc9SxxzC801SYgd1g/nfNxwydcPac+NRvPlcyhethBXvUk0E9aNexnNyXlobDKgwcwikgenKR9y/9+Qh2YzC/MCNBfEoHnbRqSH+iHW1w13fVyR56FFXc8+aN6wHs3HjuF6cAjC/PxRrfFDuas3oqa/guayEomPTNJArpHjpbR4QLZZT+fiu1nmM6ONCxk8MFtM/puoXiz2N8Gm5no68mBtJk6/+zauvPwqmq/dIK4kTjOQnfH1PkQNeA6FX21Ec0U5+a2ieIgjw28ievhIFHl1QaH2GRRoeqD5tSnSwK9OjwZKp5bSqCaur+X0be15D+z5uw++q38VKr4HfqHsmH7uYCKQz/mNJINXEmShy1N8OvLXmcD5ltHRfSVkP/wdzoABA+wEqAQvRrFhwwaxOjXXFR/1ev525d64vgntw/z80Ii6iiykrXoHXw7xQJzHE0jx6Qp9aB/kOrriik8XJA72xeVT+2E1VMLaRGHMBBaBBJMcT24hdr09B3EuGiS6a3G3jxPKJ/dHgpsTMv20ONgnADWfEPknXcOmyUNh3PUZrGnXUblgBqxXDsFqKoCVhK71/BHEDQpB4qBgWC8ehVWXC2tFCnLGPYcbIf6oOnQE1tJySrcMTdYKkb6RYLI20LEeOTs3I+WrdRRXOuJPrENCgDciNS5E7C6wDuiNVE1XZPs44WiIN6zrKQ9rliN2cChy3Z9AARHsF8FOuDBtFKrLykW59FRWsyijmfKog7WxCZlhN1Cdki3u11p1Uh1UFaEqMZqukR9THR31qKimMvFvqxF313yJa0s/prLeQs7qDSi+cB6phw7iZq8BOOPphxW9u6Fq7ycwWItR3JgE6xuzEBPSE1UkdEtdu6HQ3wMlwVoUn7omtQGnyW0g8qZCRecF9988sMtClwc3O/Kj9tePD75LO1y/fl2067/8y7/Y+bv94lKM//7v/xZrbGRkZLRZW0O2h5RxypCfifZQ3rf7t/EV811ZSRYiF07C+sHOyAp8BkkkdI2B7ih2egJX3R2Q0DsQ2VfPw6qvhYXjIXAfL2C25S27FFtfnoW7Lk8hwb0rknu5oHx0T6SS0E3SOGF1qDdSP14Aa+xFhL80AtZ9G2FNDEfx/HdhvXCKeCQd1roU4rvjuD0gFKmjnoP10mXiO7L3CrNgffd1RAR7o/L4JVjLpQF7/v5Yb8uH1UxlIx44sXo+zm/4iPKaC93FPcjuE4xYb3fEkMjN6heEXBK62W4eOB8aAuunn8L6xVpE9uuPIgcPgY0+Xoh8dRrxF3O7WZSV+dTaWEt830DxWlEadgtlBRmUBwsMFl5bgjixNBbFCRekuiBUmWqRVZZLeWyEzlqDyBXLcW3RQlhv3oZ5+y6YY27h6rpPcavPCFzw7YNVffsQF16hsHoqUyV078/FucBglAc4Un7/hnJ/d4HKK8R3BiMaKe1qqwE1lBbD3p7tYcvPffFd/atQ8T2gCl0FlB3yT1XosjHDx/Zl6KhMJ0+eRNeuXQUB/vKXv2wz4uvn5wfeWqh9mPuhs9bZDw95QSQ9MpKicGfAMJzV+uOghxeMCxbDejcJx6e/iVgXByR6OGPjG2/AWlAAYwMZHR0J3awUHHpzOs67eeOaTzCuHyFhTNf1S9/Gft/uOBvsA/OiD2BdvggNb8+ENeoC4t6ZCuseMgDCz5AwJUGbGQ7rR3NgPbAVjddI/JqLUEd5rCCxaMzNRNIlMj6M/PdAopPTN8ploPOaehTs3odyP1+U+fqQSD6I6GmjEeHuinh/H1QufJ1IlwyMectwybcXEjXBKO49gkj8OKw5CYhZOhvLQ1xxx6cnEkMGIoHErIiX0zERRDkp3d37EdZvMAn5/mSYMFHTtZoSVL04FBfc/0zl+ZqMgypYd+xA6ZgxVC+3yaAhwyWK4jt5GOWTJsK6dw/0i+fgTC8fMkjcEeXpjL1zZsFanENGzhXsXzgOhe5E9t5dEOHtj5S+g8iPhsrhh1N9B8O6bTeaamx1IPKlQkXnhSp0OxfYPpHbQilC+Q0sH7k9L1y4gLFjx96zoBRD+SaXtwjkrYSio3mQ8N60vgnf9EzIAtUukAi5MfG41KsnzgYF4XRvf1g/XwrrrVs4PfM1FDr8EeUktC7Pm0f9eqvtxYOdjAb+bIavJWVj60szccHLB7d790XGlYPUf8dDN+91HPdzwkXq163LSOit+pjE5UpYzx5CxpsvET9sgjXuJnFEKaypxA0rFpHYPQpjLHGfgQdwrSQULaivykB6Eok8C9UvQS5HHaGR06804O7K9bjj5Ih04jxrxBnEzHgeF7w5bWekvjoB1ssnYJg5HRc8XHBZ44u43gNRfuccrCXEdx+9g+VBLsQ/PUkQj0BdYjLxXBMMFLeEBkqPBPbmNbhKoj12AvFWbDystST0s4vRMK4/rvb4P2g69CWs1STYSdTWvTgZ1jzyoy+hsiUQB25BwpjRsB47hjoS4/uGBSBa445bzo44+dmHxN8VxL1hKPp4GrK7/w0l7j1wJ9gdpeOGIM5Pg1vuDjgxbBys+05SXgwksskOoLwJIW6zP+T2UaHicYQqdBVQdtY/NaHLee6ofEyGsviV7zFRLly48L6rKk+fPh05OSQGyC+HlcOp+HvQKnStlgZYt+/FJb9g6OYugLW8GtZ6MlrKa9AwYgiqB/eHLuoOrI3SyLKAjWSYFBv4XFdLJJeJnFFEsJ+vh7WJCJFHhVNvombBa2iY+zYR3ybc7BsC68L36XoEbrw6FjvIKLg8eiAKLu7G3oXTSNg5oHLcUOyaNR7WhDCUEeEWWig/RP4C/La0ifLLYlsIUFs5KmsQ8clnyHZxRoHGA5FTnxWj6GUjh6F6NJ2f2YPSuTOIpMtg/WApMvz6kgGylfJB5bJQPs1lqNm3AdmDyO/eoyROqfxGit+ejgXltaVIGDcZJwNCcd0vEMmDh6H85CHse2sGLnr8BWGeT6BmzSewHt2LG1otrrl7YOcMIvo8MuJiInChXyj50SBp0EBYT+xD7bxZgsytM0jw56WTgVCDmhvbsXyCL/Jd/4JizZOwfkhG2LVbME6eLMTufko7+413yOCgupDf7KpQ0YmhCt3OAa5/5m4+yvyr5GG2VTZu3AiNRoN///d/t/P2r371KwEll3t7e2Pfvn1igSk5PMctnz8sdCR0rdX1sK5ehXMhwTAuJ76ryKc+ntLOy4X12d6wDg0insii/pi5UQojC12OS888VEv+4zNQ8MIk4hke1K0kvqPw4adhWvQ2dLOmC5F7PcAL1sUkmiOvIO7l8dgcpEHC26/Aevs8Tr8/HRf93FA27QVsefdVWDNiRFr1LG7NJBY5znZCt4HAYtdabcLZdxYikTgh2tkJyW9PgfXIViSP7IfiKcQ5YceR/9Y0WKNJTL/3DqJD+8G6dTfFSeLSQnWuL0b88jm44x0K6/rtYqCYhW4922QUv5nsguKKPCQ/NxgnPHvgkF8AUqa+DOvxc4h/413E+nZBcpADyjd/hLy1c3HD2xM3fbTYO5v85JPIPXkE+wf2FdsaRQ0bBuul/bg67VlEuDoR/75H+SAeZ6F79zBOPKdFTo8nkO/4NNkha2C9E0acPRyRGids8AxB1vtLUaurpnzxehmq0FXReaAKXQWUBC4LwZ+a0JXF7f3KwAJWnqrMb3GVpMhTlXfu3Gn3K48cd8b6eFzAo9JiZJpgYTGnt6IivUCIViFc+R4dzY01yObRWZtfIa6EwLIJTLpmYAFslKZ0GYiUzWwIlFah/jYR94UDRHq7YL1+HjEjByJhwkhYj+1FyacfEPmfQdmb03BY64hCz57IdPLDBX9/nPf1Q8yRfUT2jbY0KD4TiVuO31gHk7lByrPIp1nAyFOwDVUwzn0dZ/ycEeWlRcMLJLovEIlf2oUz772M+pPbUbptH+oPnJCmTZGBkhV7jcKzkK4i1KKsOJPKx1OPbfHbxCSXyUjpWK4fwpapQ5Hi+Udk+j2BdO/uAmmBQUgPCkZp3FmUJZxD5LD+OO3viRRNV+hG9EFZsDuyNF1wKbg7bg/SwHpuM0qmD0VsgCes6z6jNLj+GmDUVSA9JRo7X5qMlK/Wo9ZcQwRPdZCThjPvv43Lb80lcZ4nyF6nCl0VPwGoQrfzQOZy5bWUlBSsW7cOTzzxRBvebs/jLH55leXNmze3EciM9m370Nua+3KCkcCfo1iJQxJjSQQyt1iMQuBxn2q2Gulo+wxK7v/5aIuHpw43cBgbLzXpSCDyeX4JjDejYD1DvHVwC3HOMUSPGoCkV8YT/9G1wztgjQ1HweTxuOCjQYN3MEocNTgR4IHTIV4IP34aVp1crxw3cY3ZQGnp0Si4QUqfRajeZKZrZpQYq6F/80Vc9nVCnHNXWF8hsXtiD3HeYRybTdx36yjKdq1B2trFsCbGw3pgP5IjiftI7Oqs2QK5eVwHxVQfZFMxbOnw5zYCl49j/XP9UeDxNxRqnkS5vyty3Z9BYpAHMvr4or7oDqKIX4+GanCqrw+J1S6wjhqGgkANUj2644x/D0QNDYT16HYkTByO26G9qX6OUNxcx2Tb6qsRf+MS1o5/AfkHDtnSJiTnYN9r7+LC7HmwxqeRfUE2RhPnke7J3K9oFxUqHkeoQlcBZaf+UxK6Mikq8y1fU/o7c+YMunXr1oYUZTAxcl0o/TNJto9DxXcDi1yTXbQS+O0lHXnUmgnfQteN4o0mv8W1TZNlyEQjyFhhrLDhQm3CQpcFoTW3CIUXruD6c31xZpAfrJvXEmkSme/6CkWvT8XGICcU8cJUNy4gfuwwFHn1EmI3vHcfWLeROBXCllcnJsJnGNmgYMK3EbAt77zNjkFXJ0agGdasWFQR+d/188VtTw0iXh6MUyN9oT9LBgCPkOeX4cb8jxA+eQpiZsxATkI4XW9Ek7GEykf3rbbnqknxt2YjVCHgjQWw3j6BumFaIXRTNM8gw6cHsnr2hPVTEqwWum/Og5WE+o2BvZCm7YFMMkTyvHqgwNcRsSOpLg5/CcvCF3HW76+ID/JCSi9/XL/MBginzeUmpCbCWpQHA5VJR/mz1lWIN+Yscq01BjRSG4iRbRUqOjlUofv4gOu4vQi9H2JiYjB79myxv63M1/KbW+V3uL/73e+ELXP27NkHtiGny/hB2trGX/KbWWkdBRu3Ub+ro2s8O4mFLk+TbRNO5kgCTxtmv0Igi/7als/MPKTu3o/zz/bFsUEk7DZ+Cus14jsSuZlvvIgdffxQ9DGJtmsXkTH2WRT1cEeFqzeuDgyBdf82KQ07r1I7iG+Bmygt/j61rdBl3q6n66L/T7uDnLGDkerpLJA4eiAKp42D9SaJSTNxUeR5nHh9AjLffB2Jr7yMjNhzFE8pCfYcIXSt1nKYzfl0pHI0UXlsXCcPHFtNxDvXT0PfV4NSny7I13QTSA7Rwrp2OfktIhBv7tuE4720KHF3FMjzc0OG1hExI6l8J3Yg85WxOODTHdf8ApEweChioy9SOB7IZi4nvsvKIdHL5wR+i81vzEnsWrMp/nJqK64PE/G7bH/Y2lOuFxUqHkf8Qu7MVLT9fpXfVjIiIiIwZMgQVFdXd+ivs4FXkpbPebEJPnJ55s+fj9/+9rf3kCPvrTd69GgUFRUJv1wnHAeH5XM5LhV/H8wEE9U/g89br5sFLLwwBcNM1xkk/BhG8sNo9We7J8dhJOil85Pbt+KCt4tAUa9QWBYtgGXaVES6OiHK1wfX3d1guXgE5a9PQalLiED4iBGwXLtG4fkZqSfhzAtgUHxmaWN8C5GguMdpUr50Fjn/fJ/uXTiIiDH9kOXpgxQXD+Q5PCG2j7CsXAxLQQYsjQ2wlJfhxOZPUJF8ncJUw2QppTwXUpzlsJgq6VhD13UETo+ORMRseFj0dDTmw9KQjaJBPrijeQIFHv8POS7/G2EhHrCc2Uv+q9BkKYbFUIYLK+cjx423rXBDjrcb0jwcYCGRW/TJ27g8fSxOThyMWjdf1Lj6YOMAqp/Ia6ijMuuoLDXmcjRaOB9cLgOV0UD55HMqq9wPUB1w2ZXtp0JFZwP36zyYOYL+9svKyjr0014EqfjhIHOtfGxf79eof+a24v3rZb7uCH/4wx+wePFi8f2tMvz9wGnJ6XUE9qM8fyBkXmrHX/f0l+39ybDdN9nQaAOHbSLI9/ncwJxHxy/fnY98hx4ocSXRGeIHy/IPYZn0AlIdHXBb44Y7XhpYws6gcNYM5Hv6Ittdi+NDg2E5u1+Kj/JhEvzG8fHRRPEbBJhzJR4kmAh6GxdEnELs6J4o07ij2N0Vua5uKPTwhOnThbAUp5Mfsp/Sr2PvmvkoT7pCv4nfmJ90mZReHp3T35uBuI94lPnOxHXB8ZqI6wy1sFTkwlKVh9p+rsjzfQJ1/g4ocvkLUgcEUtoXJb/MjQ01qPv4I9Q5u8Kg8USOfwBinZxgObYWeWvfQ9jM53B0Yj/UuLgKHBpL9XN9F2qI7xjMeYwmygdDtjMMZGMwjJQ3g8z7ch4F2K5UgsuhhNKvChWPFqrQVUDZcTO5MH5qQrc9eLuBl156qUOCZAJdu3ZtG/9MgHz8KdXBjwmZ8NsT/98tdGXIfvWNRH61MLwzA1cCPZHmrUWmvw/iiOyjNa5C6FpWfw7LR+/hXACRaDc/lLmG4lhQkBC7uUlRlB8d9BQfpycJXxlE8rb0aum3nu836ZAUGY6wIUE4HOgshG6ebwAqPR1Q7PoMdrn3gOXTj2BJiEfJJSboeoIkcssb0hCxczUJ4Ti6VkdxscAkordQGQRY9PLzR89eVSo2zBqH225/RqJ/d2Q7/RdKvP6Es/5OuNLbCznFkeSP/mbjwrFszEDka1yE2GWRm6V1wbVpw2C5ew6WmiwS+WTghAxAWQ8P7Bs7HJbocDRQekz4BiHyOY9s0OjovJHqgUU35YH/Fmzlb99+KlR0NnDfrgrdxwvtB5OLi4sRFhaGXr163XcNDQbf8/T0xIcffig+R1LGIXP4/SC38f2g9NM+7D2w9Y/t+eue/rK9Pxm2++2FLgtbCbb8EIRfDlNJXDHqWSF2kwK9cNfbHflaDTJJ+LLQtXyyjMTvIpwO8Udyd2ekObnjQD9fnBgWgoS7sSIe5lQp7nuFruBBOW/1JBDj45E0vh/OBTmiwNkRFZRWsdYL+W7uOByiJX4lvsu9jYorBygcCV6CwZKLitokXNn5MSxFxLFNpXS9RKTFs6OM9rIT7xiJfwrTcPr1Kcj1/hvy/Z4kQf0UKrXPINyLBP3YQaipoPDs/1oYjvfvDb2HBvUubkijfGT4+ODy26OJc88SbybDEnUKluAQlHfvgX3PUv4ub/9OQpdhby+RRwY/U0pw3Smh9KtCxaOFKnQVUHbcPzWhy3vZtr+2Y8cO9OjRo0OidHd3F3voyeG4LuRR3vbxqPg+YEOGIRGE3QCwEz0LLIZN7DUxydzrXyYkGRymiUSnRE7UZiVROD//RRQ7u6CCSLDQzw9ZGg0sa4j0v/6cRK4WNwf0RMMnS3Hp2aEodHFBnoMjTk0eCUviLdRRnPUiXhK4Zp2IW+TLlk+TEL50bjJhx8KFuOTRHWFaRyyb3BcFYTtR9dFMHO7tjFwSunkaR1gO7kf2a9NR99kSWKoLYclOQcUHb+OKaw/oX5oIS14eETwbGVL5jTaI34YalL0+Hce9PBAR5ISY3h6I+vh97J4yEnc8/4ho7Z+Qs3wOLDFhSAvSIEbbHdf6dMfN/o6I7qPB7Z5uiHZzhX7sGFjy+S1HOfR3E7FnwRIUJN6m31zXTO5UbwYyMqi8JhLeZiF4be1lKzfXC8PebipUdFKoQvfxglKQ5ufnY82aNUK8KnlaXjlZ+R1uz549xVoaMmfzln9yPHL7KSFff5AfJZR+5DDfiPbCyP5bFka26/yWlCHfbwdZgMkCyiR+Ux/MfTH3yXQuRG/KTSRPHoZcPzckuXVFjqMjyrQk6nasJeG5CIf83XAixAvFy+bhzOhByHBxQra7KzaMGARLanxrfiwVNkiDu7LgLmsykTCk+zV6nFqyAvGOTyKNOG/z84HQHV+H8ren4YS/KyKD/XArwBuWI7uR8/pLsOzZSXxH8SUlIf+tt3DNxR3Vz79AYjeV+KSKRLwOdU3MM3L6JHr11Sh/bQJOeXVHhK877gRqcXvFXGwcNxBxGko3oAcKV3wGy6XLKOzpjwSPHjgR8DRuDffBca0Lzvp7ItHHDaYJo1CbHE5x1qIm7AK2v/Eakq4fpd/8dpnTZNg41p6+DTa+kwfe2wtfoziXBt3FwLuijSQo4uqgXdvcV6HiIUMVugooO+6fmtBlKIlz06ZN+Ld/+zc7OSpHh/kNLxOr7JfLqwyr4mHCJpwEOTw8oWs2s3896oyNEvGnheHY7LEocXVFlacWuUT6mR7usGxYCcuuDbjcMwCWTetgKSPReeUS6vz9kdPDAakfkWDMjRciVwhdEn0dCd0mHonmchAJNsbHoXj8CNzp6QtdzCnyVwRL4R0UzX9JErkL5qBx0UKc6R2KTT4uyP5gFuo//ADHgnwR4e2OG54uSDt50jYtjMSuEJo8ms6/qdwmIuTd23Au0FeIXMt2IvkmIuubZ5E/wA2JAU/BcvhrGLZ9jus9/oJYrx5C5FoOfw7LgfVC7Ma4kz9vL2SE7aM4yyktireiloStNGVarkdLE6VpImOjqVaI3aYmNnionLZyq0JXxU8FqtB9/MBrg/ACU7z9j8zPMtovMhUaGoqrV6+2aTu2YeRzmcP5syM+Z8htqWxTuY3vB6UfOcw3or2gsf+WeMx+/e8Qugx+y6sjNIhPa8hvYjiK3pyETG9ngWIPj1ahu+lTnOrpA8tWOi/PgeXaORT5eImpzXEr+O1ruv2zrvsJ3WobLHVUv4kZMI/oj1xfV1hiie8MGbAkR6Jmzmu45kP8tGQByt9/E2f7BuLE0IGwbPwSBe+8jSOBgYj2CcAVJ1fU3AmjcldAT2nY304LNKKxgdLf/Bkuh3jgth/Ft3o5Xa+C5dZZlAzwRrJPV+K1w4id8wHuOD6FWLduiHzWD5bTX8OydztOEafGejoJsZtxlYUt2bJ1FL6Ip0yXUr3ym2RV6Kr46UIVugooO+6fgtBt7axb85ybm4vJkyd3SJa8mMWGDRvsYVQ8zpAMBFlgMckz5N9menabTOTHSKgkUhs/FpnODkjx1yDavQeuujyDuEBPpBAs6z+HIToFlloiK7NkGJXHJeDol+thqSGSZXFL1ySwgGZCpGvGavEtkSTw6Pky8xtYfs6MqCwogKm2BrV0r9RGnJW1VchLTiRiM+HSS89hc29vlGrdUOTujDIvVxRrnHDWmwj6wyXQVdWJMCI+Epf1ZADUcTy6JlxcuYYIfAssaz4hwXsYlpgklK5egpoNK2C5Hg7zrl1E5JRvYz3Or1uLdbPeRG1sHBkSnD8L0s6fxaIXJyPxFIlpHcXZwGXichvRQHXKkOtR1DOXSxa4NmKW79sHFmxorScVKjoXVKH7aHG/emTejouLw7x58/Bf//Vfdn5m8Btc5X72v//97zFlyhRhpzQ2cj8mxcFtyfZLR2nwNaXI7RSw9buy0JR/24WULJCNjagqzIVl8vNI8XHHLS8PXHVzQoS2B6L9XBAeGExCdzOSY6PFWg+NIg4Loo8dwsUtG4nviHeIM40cF103WkziLSu/BWXu47TFN7pcd1SHQvw1GFCakQljOQtizoPEoWUVpShNTRP5vPzyKGwIdEGhxg0lXhoUez6FIs2T2BOogf7zxcTdNRQ386rEUfyJjFgLoroesatIkO87AstndDx8kIR1HBrXLob5q49huRIByx66x21fU4OLa9di49tvw5JBYttm/xVfvoJ1U2cgcecBio/KpzcJzuKyyAO1LK4lgS3xoBC0om6lerBDrndZ+NrtkAfjnnhUqHiE+AV3diokyJ0/g8mGIQvdqqqqDv09rugoj7x4hb+/fxvilOHm5obz58/fE6YjcNwyOrqv4lGAt4ky2ReyarRB/t1kpmdYx29em7B/4yZkE9lnujoiK9QXTSuWoOm1FxEXpMUdD0ck+LqjKT4DTY1S3GYiORbJIh1TI5pyM6Gn+BhNTfWERtQUpaOprkTy0wacLxbZdKTno4auVd/jh5BxB1HvvIQ8VweUeLoh360HiV5XNC1YhKbEFIVfg0B1UwOqmurQVKtH1pHTiBg1mMqxCEVLVuDEsDHYOSgYW/v7I+6DD9AUfoPSprI31hAo/8nJaGKjjwRtUx1dM+rRkBiPphr6m9ZT/NV0zZZOPeWfYa9HWz3L97leGfJ9gw2t/lWo6JyQdxlgocv7qnbkR+33fziwvXH69Gm88MILQsB2xNMy+JOjD6ivY0HMYeU24TaUbZeO2qrTtp2t3zXSOUP+3cRcJUDnJv7dhNXLl+CumwOSvd0Q7kGcsmol6iaORLh7V7Ha8HX/IOSkJpFfo+i7G0Q8PChg69/LKqT4CLXEOUbq/ytK0yj+CtHH6/mejd+Ef07XyBzBYeiaXge9USfxqJ7iZeTHI2b2S8hw7I5sF0cSuk+T0H0Kpi+WoSk7geKtR0NTFbUfc7aBuLxeoKmyFtVHTiB29AQ0ffw5chZ/iCMjhuHY8CDs6+eF3LnE5bdjJZ5jMOfnF0h5q6By8DUDpZ9diKaqBjTV030DPReUV67HWgLzM5eLr7XyHJdPLpMCcr1zmUV9sx/mywfjnnhUqHiEUIWuAkoS+CkJXSa/1atXi31wmSR5VWXlm1xeVbmwkDpCm38eGeYw9ysnX2+PjvypeHTg/QcZMhHVmJg4+Ttdas+YGJzrNwpHgwYh78wRukbEU5uPIyvnY4O/P25Om4amPBKRNqHbZCA0EskS9O/ORtHLL5EwTaR7RJpmek5uHEXExHFoOndK8q/nxTOIOAlsBAjjgcD5qaNrLMDlfPI5k2tTZSFKly9Aposz8jzcUeDhhDwSu4UfvkditEzEw375yGDxWUsEzMJZlPPoVzg+IgAprn9BpuZpFLv2QJFLd+yZNhlNsbdRb6Q60NFzaTN+mMQN9Ew3kBEi54XJvZ6edb4uC1U5PdlPq9C1wVa/qsBV8VODKnQfHfi7Wfmc+fbkyZMYOHCgfecDGcq3twwekP7oo4+QlkbCyxa+I66W20l5vTO2m9y/yv2tDPk+i0khKPk3l09nQFFCEvYMGYkv/UNx+9hB6V5JETa8MROLNAFI/vgLSXw2sOhjYUfhTLUSFi5G9qQX0ZQcT/xHv+uL0LR/M6LGDiHeOy/xSQO1n40DZD4QMNj4ga+TmBSiks8ZuTHIee9llDu7odpdi3z3HsR5Dmg6chhNpSUS5+qoHYm32H8jcQ0P7nLZTCzCj2/Frv5eyHB4AkUULt39KWR7dsXRmTPRlJRIeTGhkUSyXgh2KQ6j7ZyP9mdEHsBm0LnM28y1ct0y/5mIaxn8iVKTsCM4rta425SboeTIDsF+VKj4caAKXQWURNDZhG77PHHHxseSkhIxtUlJlvL2Qf/xH/8hBLCSdOWwcviOwGm1R0f+VDw6sPhjcSkTrY5IidHU0ECERm15k4j74Dk0GUnQNlSQP3qe6wpQ/QWRfmwsnVO4WoI8Ultfh5tfb8IhEqLnfL2xZ947aCrIRNPtE9g4eRD2BPki7LkRKIynsEa9EJLyKDETZbXZhCqTUQjdGqMRjXrpGaki8mQULpmLHaE+QuTmurshx607CjXO2BaoRcXyhYJ4GRyffM6oIwgDo+guala9jzyfbkLossg1hPih6doFMhiqhR9phJpAeTDSM6o3GgRY3DYa9ELgyvlmqEJXxc8Z3OerQvf749vWD3Pz1q1b8ec//7kNP3cEFrjbt29vw9Xt05HFjMzfcluxHfMgPn+c0ZHQFf2zjefaCF0GCV1xjLiDpjMX6Zw40EgcqG8UnNa45yiaKujcSGHq6LoISzDWIHrLlzju7okzXr449f5sNGWmCpG7p5c3jga4I3x4H9RlF9v7fzHDibmSxSkfbXkSRz3Vd6OtrYwmIXL393JHpZsGpU5uyHPrhkJPR5waPozS2Cf5Y7FLYVnsNlC+WezqSWgymqrScXvmOOQ4P4MqP3ekuT2Jqt6eaAoPp7T0xJNmIXQ5Hp2ZbFeTVA/K+uHnwMxvnlns2iALXX6rzfwq13FboctQha6KzgtV6CqgJI7OJnQ7Ahstfn5+drLk0WF50SknJycxlVnpn8lQLveDyigTqBId+VPxCKAkG9torSw2mbBYaOroyJCv6YiU9Q3kl8mZftuJmo/yub4Msaf24m6oJ6IC3ZBGpNw0YSQKB3gh0bcbwrQuyBkzDFWJcUTQZDjIRMhTnXnasJGgZ0PCRo5mOurq6b4RBzZ9hTz3YOR7hGBHgAZ5c99C5BvP4+tQnlodiNvOPZByngQrPYcc1mQjbYlQbfh0Di4E9kCC5hnkhpBQ1vZAtmd3JA8JQNPp3dCb6oioefoYT7XWiToR5VYcJUJnY0AR7zdAFsWyQdCRHxUqOiO4/1eF7vfHN9VPVFSU2PaHxavMzYz22wX993//N55//nls3rxZ7H4gh5eFLENuD4Z8jflb6eeb+PyxhpLf5P6fjo0k3hrE1FpZRJmg0/M0Y4n/5H7aHg8LWwPXB9cN8YlZT6KP6pTrhT9r0Vfh7on9uN3LB1d5pWZ+2zrhWVTwt7Suf8ZuXyekvjYRaUnxFJ/MdSRkDfwpTB1xG78RZh5krmKQ+NTTNUp7z+aNSHLqjgx3Z+wJ0qBs8RxkTXoWZ32dEe3ti9TQXiiMIL4zVlDe+bthDsf2JsWtL5SwYhqu9XkGRX5OyNN2Q1FAN+R4PYniEX3QFHZcpMPtzM+Jsr2VdcDnPODbZmDWVq8sdg3Ei7LYlWdk6aksDIlLlW92OX6lgJXb4n6Q/alQ8eihCl0FlGTAnQWjswrdlStX2jeSZwJVToEaM2YMMjIy7H6VpCgT5oPKyPfaoyN/Kh4BbETFItfUKAk6WejW6vSCsPhcGYbvs5g18wgyi1r+LeJQgEi3qY4IdtNnuO3vKoRujq8b4r26INm/B/LHjUTTbR4oIdJr5NWIWw0xQfpMhGRMMOnz4iAN5Ww4S89Jfnw8ynz7Icc1AFUfL0RTIT2L2RG4+eqzuNG9C5qmTERTVrZkgMiEKpezvh6Hdu4kI6GLQLzH09A91wc1fX2Q5vY0bvg7IXGgH2obKgU5G4w1RND1QtzKaDSSUURHrpd7iP8bIBtQqtBV8VMD9/uq0P3hkJ6ejqlTp9p5+X743e9+hxkzZnQ4EK0UMnI78FHmb5m7+cj++KiMo9NB7vdl2K5z31tPgtXAb2uF8JIEFffN0loSNp5j8JRiBotd9sODrsxNDOYYsX4Df5dLcW1ei6i+/kLoxrl2Q4n731Dq8QTy3p2GppTbIj4T8Z1ZX0/h5QFYzgPFRUKb+ao0NwMlRTnivMmkQ3L0beT7aIifHGFYvRRN+SloSr6NtHFDEda9B3STJtO1JPJbSeWqF2LX3FRJ4cnmJJF7edcanAv4I6737YJsDfHjqD4oC3VEtvYJhLs+jewBgeLvldub3/gr21zmq/aQ78v1yhyofLPLdoNkO7QKXUZboavsB6T6vz9kfypUPHr8Qu4wVbQKPAZ3GIxbt24JoVtZWdmhv8cN2dnZeOONN+zTk1nk/vrXv7afr1q1qo1/Jk65PO2P9wPfb4+O/Kl4hKBn1cwGUB21RWoOzFW1MDfSb5O0l6K5sgrmvHw6p2tEyGYzoxZGUzX0Rnq2efEMvkfGAKOahG69mURiXRqKVr+PEpenUebeFUnezyCvpwsarx0i/2UwN9iMrqpqmO/GUtpp0rmhnOKpgDk+G+ajF5Hx1hyYr92ka5SfGor33EmYl34Ic0Q4zPlZMFB+ymsKcHPJUpjTMkScJoJRZyufjMYanN6yAUcCHbGXRPexabNhjsuB8eQFrB32HC55dkfioGAkXLtKeauXwuikFdQf+LyabGh//T4w2NDRPRUqOiPkXQZY6PK02o78qP39dwPX1dGjRzFu3Lh7VlBujy5duoiVljuq+/Z1LreDDHmXCPmcbRc+KsP8FGAwk4An8KCuuFZF/JNKvFbdSNzA1218VEbcU0ocRKLWbKR7FIa5sIHu1fN9Pf0m8Ocr4hMWA/kxEYcWxSNz1kSUaLqhytcJKb5/QtlgZ+KxK3S/mMI2oIZ409xQAHNKBKVBXKsnbtVTenTPnE7XT1zE6feJ72LuULzEs4xjG2BePQcm5rti8kP5qq4rwZmlq2HOrYCRF4iifImBV4LBrKNzyo++BGd3f4lDoe7Y7dsDR95bBHMOlev8SWwYNRRXtE8hfXgA4ph7Zf4yclnp2AGncdwMvQ2NNuipfnSUJ5723Ej1YKCjieuZ7onPfuieBOmeDBOB88m7NTwIyjyoUPGooQpdBZgk5PPOKHQPHDiAv/3tbx2SKE9V5gUv2J9MiDIpto/nm8onh1WiI38qHiW4DUyouhaJ5eOnYv+aL4Vg5Xtl6WnYPHceVr/xJolMFqBEyDahKx0ZbCC0Ct1aM4lVjvfqPuwZ6YcqEpAsduM1TyDB80nsmzOFSJ2EK/thMr0eji2jx+DkzNdhTk6h6w0oyY1Hzox3cXngczBv3oHCeQthDAtD7Lp10M97D+ZVK7BiQB/oTh4l/3oiTRKmVSSCqzlfZugoXhMbAJwnOgojpoHyRWLXuOxdpL86hgyQPApD9+uMqDt0Evljh5BRsYfC0HMtv/kgoct/yw98XjswCjqEzY8qdFX81MBcoArdh4Py8nLs2rVL1GVHfCzjX/7lX6DRaLBkyRIUFxeLsNxX8bEjblZytxJ8ncFhefBa7u/ah+/suEfohkVg55TXkLD3MPXzkp+ywhLsn7cAp5d/IvGFngc8qS6+Sejy9d1f4HhfDQpcn0aZtrsQuonef8DpD6bBnHGbhJ4BdcxT109gzei+uPrxQgpLaRirYChMQ8zUmbj07ASkb9ksxG5Z+CVcWPc5CmeNgWnpTCwdNQIN18Kk/JgpTc5zDbc5t6skKg10ZKHLYKHLMKyci7Q3XoA5u4x+U5jGatQd3ovKKcR3J7dJeWeBKx9lPrPxlYwHCV0JkthtFbKcH+m6LHSVYpeFriR27xW3SijzoELFo4YqdBVQEgMTBeNxFLodpc8LVfDiUkyevKKyclXl5557Dnl5JAgUYeXy/RTJ8OcJPWLuRCCl53hcd+6H894uMH84B+bbkUh5ZTri3FwQ1aMbtsyeSaKwjAifSb+VgJjAG5lY5fjqGlF5/SYqB/RHorsrrmlCkDPiBcT5+iNG64PLXoGofHEGqrNKUJKci+wBvgh3/ivuaJ+BYfJwmE/thWE6Eb6zD+KecUXC2P4wn92DmqAQ5LtrkOrlgajuXXBsBRkKBamUJhsavHqzRIxMwix0ZZFrJ282MhhKIr8f5LJQHCYDlZXjaG8E2P1VomTvl8jdtBvmCpvRw0hLRcOunWRgFMJcT8LZ5p8NEkZrHPx3pP4tqei8UIXu9wdPT547dy6cnZ3t39y2//aW8atf/QrDhg3DhQsX7AKX0dDQcI/A/TZ1zvdlTmfIgrgjv50RskCT3jJSuYwG5GZmILH/YFzz9MGZUF+Yt3wJc3w0kqe/hORuDshwdsOJ5R/BXFvVGlebPp84xgYWnCVnLqLG0Udgd28/gYiAgQj3IT517IrGaZNQn5uPyvRMpAwLxTVfB1xzfgrmebNgvnkaeVNGIN2hq0DkiGCYD29GqsYJ2b7uiPf0wu0ejji79nOYq0qpDEYhFCVhK7WT3F4sePma4JdvCTke5VEJWdC2hqlH5v6vkbd5DcyV+VQnzHnE/9mJKNu9Cea8FBLTJKrJrxhEsfNyq+BtK3T5re793+y2pqtCxaOHKnQVUBKDTBiP6xtdzhsfKyoq7hk1lkUuT1levHix2L6gfXgVPy0Y9fWoq6lA2ciZuOk6AFeDtLjk54bTffvjaEhPJGjckObrhfgDJNpI6NYTOTHk8DoiqTZCt6Yel9auR7LGQwjdgudehPlWAsw7dyPWxw9nXb0Q3XsQEq7HSEL0i0VICnZDjHc33PXphgg/Z7GIVaarH/I8ifR5g/vl76KchHKWswtStO4wz/+ARGUuGS1siNwrdBnyG+ZWA+U7CN32uJ/QJdQe24oVg3zxSZ+hKNi6V6qDyjrEzJ+HNb174sT8JTAnZwi/Bp1koDDscahCV0Unhyp0/35kZmaKBaa6du3ahovbbw/EApe3EWKBy29elXG0F6d8/m0Eq+yP45P9y+jIf2fEPUKXrxvIBpo1G5EBITjmr8HlAaG4MnII9gd6I93JFYVaH2SfPEZ8Z5udxLD31xLsQreoDAfnfYhGtwBUdNMg9o2XYI6+BvPKTbjlNwAXXbpROlqUJpEApP7fvG4pIoLcEKEhvvN1QXhvT1zwd0CR1g35Hs4wfzYPxoWvI8dPg7sOTyPVz58E8QJpRlVjjRCJQixSG8lCV4m/R+g+CO2FbvHJ3Vg4JBgr+wWgaNuX0vWKYkR9NFdcOzzvbUns2vxLoryt0GW0ClwZ94pchhyPChU/BlShq4CSGB53ocvg1Rv79u1rJ9Hf/OY39nNe0fHq1at2Mv0pkZ6Ke1FL5C+ILD8VO2ZNQ7lrd1RrnJDn5YhsTQ/sGewH8w7+PruGiLaIyJ2JlgjIRvxtDAiGjoyI+nrcXLEYW18aj+oUfutK1+urEHfsAD4Z/wLKLl1W+C9A7IGvkNjTC7e9HZDp8SSl3RUXBznBvHUhzJ++hmNBf0WNi6NAQl8fmI/vprANJD4riQwloqyjuBj2eO2GCZOlEgo/DwG3Jo7AnhAPZHiTqA/2hvn9l2GcMQYpZMikenbH+31CUH/lPKobqtHIo982Ad5K5Fx36t+Yis4LVeh+d1y/fh3Tpk3DU089ZefejsArKPPaGcePH7+n/vg31738W7Y9vm09sz/2r4yDr33b8J0B9k9FuEyEWuIKMVBbkYlbK+ahxucplLj+Afla4jv3btgxiPrwveta47DziAR5IFUWbOb6auiyM3D8/bk4u+BDlBbzehZUnxQm4ehlLCcbMHPHDrFmhFg3ojoO+buWoTJQQ8K2B4rduqPMwwEHBrvBvGs5zB/PwrGQ7ijSOKDcxxW3Axzo+hqKk4SuLpuOtgHbh8RnHYlbJeSBArnctyaOwZ5gH6R5eyM/OBjm995C48xpyPZ0Q46XOxb094D5xhHUUH6rTWXQG6U3uHJ8crpyfMq0OoIyrypUPGr8Qu4QVbSOnjJYIDJu3ryJwYMHizenHfn7scCLVvDqjB2RamhoKLKysjoMx+DV+R6HMqh4eKgxGVErzuthirwCU6gfyt16IN/HGXneTrjz5kSYqjLofjVM+lI0GOn55q0WeMsFgpHCM0wy6hvEd1Cm/DSYspKlc47fQPHra2Ei4Wtq1KOhxpYHfSFM2dHIG9YbESR0szyfRqrLXxE1LgCmC18jaoyPJHTdnFDn4YIIfxck9PFBWfxNCl8Dg0knwGWQymGD0QbbthCtUPh5GLhxBrdfHEXC1gkZPm645vUUwr2fRpafM5I8uiDn0B6qk0rUG+qE0JXrjfcrZNjrraO4VajoBGBe4IHd4cOHi+m0Hflh3vgpc8e3LduJEyfQq1cv/M///E8b7pUXgZTBU5g/+OADJCUl3ROHnBbXu8zJSrT3fz/cz/93ieNxh94GE5eJUG1sEDDVE+8k3oCpjytKPf6MQuK7LPeuSP5wJkylxFscRqdX8IgEnR3Mg8RttZXSvcwc4jyK00h9PP+utSEuXuJEviauJ8IUcxy6PoHIcu2CCi3xrOPTuDFtIEyxJxA9oQ92e/4FGQ5PItetKyJI6Cb180Z5JvMd/23V2fBw+Ex+M3w/GG2Qy20Kv4TbU8YhWeOJdB8fnPNwFsj10SDF1QE5+9cQv+Wh3lSFOlMlGvUN0Bl0JHiNIj45XTm+9um1hzKvKlQ8aqhCVwElMTxuQldOs6CgQKzgKBOp8lvc3/72t3j33XdFvh+UR1Xo/jShJ+FpiotD4YzpSHZ2JLHpgRj3JxHvRcQf5AfT8iUwNVTBVFeBMpMeFUqClQ0BGXoCCblyMgLKTA30zLDQNZCxQUaVnB7FUU7HGv4deQt5Uyeh2MMDVb6+iNN6IMHbE5HuPjBOfgWmHV/h5LiRODN/Or6eOgy33Z8SWDO0F0zxN4gsawRMbHR0CNkgeDiGwb2oQUVuMoqHjkSUxhsVzp6oobyH9e4D0/qNdL+Syp1B4r6U6sVmFBFkA0JG2zhVqOg8+LkL3W8qF3Pvtm3bEBQU1IZ32/Mwf5PLU5h5iz+eCdZRXErIdfp9cL8421/v/OAyGQX3iN9JcUh74zVkap5EuvtfkeTtgjhPB6T1CYZp2UJJ5DbaRCuhvQBrJC5h1BPHMBrFtVaYjMQ1BBZzQmjLiI5A0rQpyPbzR6qnFine3kjSaonvXGF6exZMFw7i2Ji+OPLuOGx7dTDiiYuTiA/XDQqBKeEWxVclIA/w2uP9O9G+XO2ho/pi1FHdMUymWtQVxyF/6DjccA9EjXNvVDr2xBXfAJg2fk33Swj5VPZyOlbTs1QPnZ44msUuxdNRGg9CR3lWoeJRQRW6CiiJ4XERumx8yOe8xyGv0KgkWBkuLi44dOgQamtr75u/ny75qWCUlZShjKfHEemmuDih0N8X+X28EKt5Gkn+3ojz8cTlHZtgqi4RIrdDoWt7UymjmkixUvjj50YSugzpLSYLYROyqiqR++JEnPLWoISez2o/EtUzXkGiDxO/DwlHX0TMnEZi+DpMRQkwXT+GgoGBiPR4GrsmjoQpKoxI+McWuo3QVeSibMRoxHj5o9JFK8TuhVAS4qu+oPvZBCJ+PfcD1bYw9DfVDm3jVKGi8+DnKnQfVKaysjLExMTgk08+gZaETEfcqxS5/fr1w549e8Sqy3IcbEco45Qhp/sw0FHc7a/9NMDlkspWWlGK1NenY39IgBC6pmGBqBreD/FaJ9z10yApxBfRu3bDVFpmD99egH1boVujk4SuQW9CUVEZIsePxoEAb6R7eSPHn8ThxInICAhAvK83bjo5IPXDN2CKvQxT3k2Ybh5A1bAhuO3YHadmTIYp/ibFVf0jC90ilOdEIrP/KNzW9hQit861D5KGDIdpz35xX3CegepOiN1GeqbqFW92O07nfugozypUPCqoQlcBJTk8LkJXxooVK/Cf//mfbQhWRv/+/ZGWlib8sbGiFMdK/HTJTwWLrOKqCuwf3AcbAr2wvndPVGz4EqbCaGx8azxOe/TAKffu2LloAUw1FUR6PErNJE7hFaRlj9N2XZ4yxuLW7l/pz6BHVVkprk54CXt7DcSBPn1g+prEdGUO0k7swaXQkTiu7YuDi2bDVM/GM/8dVcJ05xSOL3wV2bHh9LuB4q2TYJ/SxdPEGPwsS9OD26I1zw8DpuTLSF7wCoo83VHmrcUFD2dEBPsi1sEdOX49kfvVUphKSKTzm10jj3bz35L696Tip4Of+xtdhrJszKkTJkzAH//4xzZ8236BqX/9138Vs6yuXLkiVk1WxscLQSp/M+Q6fJhon8ZPDTIPKT+xqaupxpmQYBzz9cGmoYNhOneG+C4RX37wKm4EuOGanwuOLyHB2ZjbYZ//INgHVHlmE6OO0mTu0+tQVlgg+G6DZwC29uoPw1fbiBvykXpoLw559cQBTTAOLfyA/DKP8eAtHcMv4/SHc9GQGk+/G4lLZUgCVJ5CbeDZUwLfTQB3VAYlZH9yPfLMr+p33kGypy/SvQNw1zcYkZ5+yHcPQZlPX+iOH4CpLI/EfhGqDTkUhmcm1NCzJr3Z5RleRqPtrTqhozSVkP39dGF7Xmx2U8d+vhn31Jscnz1eWzp8T3lf/q2iQ6hCVwElYTwuQrewsBBvv/32Pd/+MP793/8d77//vt2vLHB/DsSnoi3E6DMj+iZOjh2B8vVrYSouhEmXBVNVMhremIaa6S/ClJFKgrOG/OsF5I7S3rHKsF2Xv8FpI4yV/kjoimNsCmJenQXTxg2UbpEQuqZaSn/1TtS8TSKxNBOm6jzUmQoEeZpq0+h3CoXlb4bLCWQQ/IhCt/izOdgY6oBsZwchdk3LFqF04vOId/JEGhk0n/aha5cPoqE+j/JTT+C/MVt9tK8TFSo6IX7OQlfmTp4Rde7cObz66quCX9tzrpKHeQGqKVOmCBtBGReLW/ktrnxUQq7Dh4n2afzUcK/Qtd27egU3hw5Bzc7tJMx4ALKU+C4T9a9ORONrk2HKvwtTAwk1qqMHoy0f2AWFLHQZPMtJTjcyHklvvgfT1zthyqN0q8ooHeKyNVtRP+9jmAqySWDXkl9+m0xoJH7jbYV0zHc1VBYWtj+e0K1/7z2cDggQIjfVyx+mBR+hceLLyHDwRY5LAFb2CyFbIhw1xlyJsw1lFI7FrvRml4WuJHaltugoTSXk9H+6sD0v38EeMHbgT/kcihlicnwy5HRs/luvq3gQftG+w/w5g8lOPmeyYty4cUMIXZ6K1JG/HxK8arJyupRyitSf//xnnDp1qsNwKn5+aDAa0NjBdRl1dXViL2UmKaORv7klsah8jg02KMJ8E6Q4pJHdju4rUWeDsZH8EjivEvhcTx18o4CUP4Ke/DI4DIFXfWRIaX1zet8eUnw6+lvaMHo0VgUEwbh3v7hWnRaNu9OmYYu3Nw59+gHlm+uvEg26EuiMPH3rYeZDhYofF7xyL4s2FrpFRUUd+rmn3+iEkPeqZdTXc38jlf3s2bNib1velk/m2Y7QrVs3LFiwAKmpqfZ4VPx44LbjNpVttg5BfjoCh2UYvjX38bP/XXhI8megcIx6uqaEwYbW+CT+0xtrBVqvt4+3Y3Qs4umejd9l3i09dRErx0zEoj6BKDm0i8JWoKE8CalvziG+C0DY4iUwVleT0C0m3i4joVspINkOdcTNxPuEn0J/8HAgt5MN7ewprvMGgrKuxHm7546fVfs9vibbQfb4Oo5fxYOhCl0FlA+h3EH+WEJ37969QswqCZaFLmPAgAHIyckR/uQ/DBU/b8gE1tE9GbJRx2TV/t7f33HKnXtH91rxuAtdY00NKg8ehPHAIRireIpWBYGOYWEwbtokidyGXLpWCb2hnIykRiF2uS94FP2BChU/NH7qQpe5ksuovMYDgPz9La+OrNyeryN4enqKdTCkAUMp/IPqQq6rzlxnPxXIgrI9OvL7YMj8I6MjP0pI/h43oct+sw8cR+WxfcSz1TDqmNvob/5WDIz7j8FYTvxXwgO6JHCJC/XGagFV6N4PcjvZ0M6e4jqv42eA6or7IXud6Wx++Zzbx2bPt6nXBmV8Hcev4sFQha4Cyj9YfuAYj1ropqen4/nnn7eTLn8PxKs4ymS7fPly+4i0nA/5j4Ihj1A+zlDmtz2UdaHih8KPWM+2DlomYJl4W39XC/DoJ8Oos4HPf0DUNdYJ8Hkj1U+dsY6ODagiY6Oazo06MjoYwhCRRLmuozfjKlR0UnDf/FMUuh3lmT8J2rRpE/7whz/YuVWGcubUv/3bv8HDw0MIXK4fZRzKN8MqOgeUIlcSmD8s5AFameeqbdDZIAteeaC3VeDaBnzp3t8DmU9l2O/JAok5VQwmk7AiNBpqqT7oeTbQM84ilvzWGfnIsP3t8D06ir8lvYTO2B88VMj1afvdQG3NYBuhFTqpran+ZLumrpEX9eJ6M6CB7IqGxipxLtU3twn3LRSPjs653mWIuPlcSleOT36+2uRNhR2/kB9UFZJIlM+ZxBjh4eFC6PLqix35e5iIjY1FSEiInWSV3wM9+eSTOHr0aIfhVKh4EPh5bX1meTSxdST2kYPJkcCdPKPBhtbfVQL1dM4wNNrA5z8gGqleahtqUUMEU0/1w/vlVuurUE3HWgMJ2ppyGOqryG8DKquKyX+9QNu6VaGi84K/J+WBXRa6LAQ78vO4Pu/fJk/sh8u3ZMkSODo62rm1/eJSDP4+d/z48Thw4IDYIkiOg+uI7QI5vcexLlTcHzLPyOjIz8MEr1DMkHmuyoZGG+ps0BGvMBoN1Wgg3uG3phI6jvebcN9yMv8ynzbYfuuI2xiUtp74zEACzFBfZ+dB+VtcA4ksg+0NrnjmdRL4/Gf9N2CzZ+Tfku3A9STVqahXfb1oez2Bj+xPnFNfwnXL7W5vb2FjkJ8GOmfY/Iu6F/Vvgy1d2U6Sny+7fxVtoApdBZR/sD+00OVppMp4Dh48iD/96U92olWOKvv7+4vvgWS/TLbyuQoV3wTlc/ajkZKtY27tkEk4xlyFISEWhio6N7AxWQ1DaiIMVy5Qh09+ynjRC1tYOZ6HDVu+7IJaJ6GW7jGUfvWKfMiGifK+ChWdGZ1Z6DI4X8yrDOV1LhevdzFx4kT8/ve/75BjZfAKypMmTRL1wAtTKePpCHJdyPXyILQPq+LnAJuAqSB+C78JQ3wcDNUkZhor6Do9EzHRMJw+TefEfdUFJFp4YJWeO5mXOozz2+Meocv81qhvvS6nI8PGf/dck8+VcaloW08EeWCj/XVDLaHSds7hbLaGvtHmVwhYfrPeiFpdDcrqKlAjnh3yo0inms4Z8m87+JqK+0IVugooyehRvNHleHgT+lmzZnU4qsx47bXXUFJSYg/DpN2eyFWoeOxh65DtQjf6KlZNehafjBoBQwqJW+roG8tzcPudN7E6wAcFB04S8T8C41Amim8hdJVQha6Knxo6u9BtDy7DyZMnERoa2oZTO1ps6plnnsGiRYvE7grt4/mmMsv3O0u9qHiUsAnda9exaeIkfPjcKOiiIsW9urJchM2YjrWhIbi5fxtdqyKhw29W6TmSeeme+L4bOhS6hG8tdNv/VsalorVebLiv0OWB+wbqK2rITxWdK+q0oa4OdeJNrh71/FadjtUkdnXit+0Nsc2vKnT/PqhCVwElUT0Kocsb0fv4+NxDujLxHjt2zO6X02RDhPOkEqqKzgpZ6Ja9Nw6H/f+KW75Po2hsKAzb16HuzZeQ4N0Vsdpn8Ek/upaRJMI8iued0xDpNEqoJXJhyETf3mDQkfHCUMahQkVnRmcWupx3+Tw+Ph7r16+Hq6trG06V17qQ3+TysVevXli2bBmysrLs4duX75vK/PfUiRzmYaGjNFQ8Pkh5bRh2+fwJ4W5dkBLqJfjO8OoEJHjQb88eeG+INwzFcTb/1J7ywGu7eP5utBdEsoBtB/tAtIpvBbuwFYPeDN5juIbEaYWAwcAvqQiN5TCU5SB37kIYNm+3+SP/NXok7dyP5FnLYIgvpmsUb32DmDperauDvp5nurH4ldKw2yHc3xHkAfcGus9onz8VElShq4CSMH4IoasMt3PnzjYb0SsXnPLz8xPf6yrDKolchYrOCjuRhm1DzIRg3PR5SojdsAAPXPRzEyI32uMJFO3cDENJnv1v5oc25jh+kYYqdFX8TNHZhe6dO3ewdOnSDheYao9+/fqJ7YQexOtyWb+pvN/Gj4qfOc59jRvjAhHl5YRoHxdE+LkgMsANqVoHJHt2R/qRjSRwMsmvnviRBJAqdDsFvrXQrS7EuWXzsCu4Fw70HYgrJw7QdQNKTl/CkhFjsUk7EFfHvwkDfy5BfYksdMWaKjq+xmK3UUxjFlOZeeVmAotcXitEFboPxi+UnfnPHUyW8rn8rQ8L3UGDBqG0tLRDf98WHEbe3uDKlSv47W9/ew/5/u53v8Nbb70lti9gAuatD6qrq1FVVSXA06oYvAI0g/0oIV9nyH4fN8hl+bbg8suoqam5L7iuuL3a17uKxwW1AnV0ztDrS5GdcBkp/UbiukcQSrqHoMyhF66HDIR+0ado1OeSnxIxoqlvrPq7/ua+FXhBDSX0/DfaKLYPYtz/fr1Ah3GqUNEJIe8ywHvJ8ic1Hfnhv8Pv87eo5EE+MlcxtzJ/yX0+n/PnOnydOUPu+/mbWT7nMOyPr/F9zuuqVasQGBiI7t27C6H717/+VcyK4nUv+Dcv5sj3mMv37dsn4uC8yBzDwr64uFiky/eUeZDzyH7k+/xbvsf5Yv7h/HBccjlkzmM/MuRr3wechsp1nQ3ZKE65giQSObd8AlHtGoxSB1+c9/aFftNmul9NKCQQ3+nLifMoDKPDuP4O2Pmr3e/2UIYhtN9vWEVb1JMtwKgTtg3bOPx3WU/nfI37OW5XQmkWtr06EWfdeuCipzMyQjxQN3oAKgJ8kensgMPe/ogZMx76CrJ5KHw9xVWro3B1pDsaqK9qpGdCX4UGPQlaQjULYV4wTKRbQ30Zz/SU+lUV90IVugooCfxhC10lMX3xxRdtBC6/zeUFp3iFRyay3Nxc5Ofni71ys7Oz24CnWH0T2of5KaCjcirBhgnXnbLOGd/HKFPxMNFe6BaguiAGmYPGCKFb4dQbxd2CcSWgH/QHTtH9MgITfw0RMJNF+/geEu4helnIqkJXxc8LP7TQ5XDMgywKeTCX+/XMzExkZGSIo9yXy9dk8JZ7jLS0NPs1PucpyszPx48fx65du8SRv8m9fPkyLly4gPPnzwtOPX36NCIiIoSQ5fg5PJePeZbBPKsE50s+V96Xrys5iY9ynmRw/u8HuYzfF2yPyDaF0rZQ8bgiG/X5kch/dixuaP1R6RKIkh4+uBIYDP3R4zY/+QQWNDy4S79VofvY41sL3bJs6LMTUP7iBNwK8UWCjyNiNF2R7eqEDMceSHxhMvR3E6gNeLoyh9FReLJ9aoqhry1BYwPrj0rUNNZKoLgZ7K9BT2HEOaPjfP7coQpdBZQEzuTBeFhCl8Ejv3zkOPntrSx0eapYYmKiuCePdqtohWxcMbh+OoI8Iq8Mozyq+LEhEYCdUOPuIvnN15Hl5iNww0uLCD8f5Dh7o9K3N/SRF6GvzEalPh1l+pR2cf0AuA/R33tdIhS7EFb6VaGiE4P70R9a6MpvPjl+fjPJ19r35QyZf2Uo4+FB4OjoaJFX3veXjwwWs1FRUbh165YA+5HfBCvDM5RlkMukTFfOR/v8yX6VcXWE9uHah/++YL7jwd2O0lbxGCLqFrJfexUZfqFI1gbgqI8Wx/28keSmQWmvfnT/HAmabBIthcQrRRRGGhjuMK6HgfvxnYrvBrkedWzbcD8lt5skcCtInDJq9KXQ8bXsDERMmYhEd56y7owS1x5oDNBCnxJO/ouR11iBcoVdoSMR20CCl6Gn86rGeoqL+h9b2zXUSWv2qHgwVKGrABOIfC4T3sN8o8skL//m74OmTp2K7du3C+LmKVF8XSYyOX0l2pOlHJcM+TpDSa6PC5T5a4/2Zfmu4DpUGmdynA8jbhUPA22Fbu4H72FngJ8QudkeftB/8D4qXhiPbEctijwCsWZoKPSZ0UQSaajSZ7SL6weATFjfeF0Vuip+muA++lEIXRa494v/QWCO5De7kZGRYrsgzisLWj4yTzP4syD+VleOn8vER06Xz5lH5fja/35YkOuIwWkoobz3fdDeZmifBxWPF4pmz8Ihf28hchM1fqh4exYSxo9FvLMbYh1dsXJoAPSpN1CvL1CFbmeCXI/fIHQrScTy/sj6vTtxqG9PxLl2F2K3wKkLyj2ccHPnKugb81Cmb0Ap20mN0t90va5aiF22OVjsllRXSULXlr6uQRW73waq0FVASRiyuHxYQlcmKIYsWuV7MgnK/vhcTl8JJVHKYe8H2d/jhI7y+bDAhg1Ph+PzR5Geiu8IOyFIqNhzAOuGjcRqErvFa1aTn0qURl/GtTETscXTHyden07En4R8fQoK9Kn3xvdDQ86r/ZokcFuFLv3d2u+pUNH5wfzyQwhdZRjmMfkbV/k+p8tClO8p4+ZrPEuHpwcnJCSIvCnB3Cyfx8XFCT88tVgO/1MG1yG/1eXz79oeKh4lJOGTu3cvlg8ZggW9QlCwb5e4lh1zBWGjx2JnQBBOvvs69InRqNOXktjlN/Usmh7+IIwd9/Cbir8Hsh1gtwfaTTmXpzbryyuRc+AQboX2xDX/ANz2fBKJQU5IC3JEgm8XXPP0gn71GikctUs9HXV8XsdvcumYHA19ehw9HxWo0VHfWUJCOiMf+ohY6EvVqcvfhF/IJKRCEpjyOZMs4/r160Lo8uhpR/7+XnDcvKqzfM7gePma/Ls9+B77eRjpdzbI5b4f2CDi76nYr1xP7eNQ8SOisR2q61CyYzd0ewkFedDV5ZO/KujOXkbxgo+gi78LXWUZKnV5KNJl3BvfDw05n/Zr/Lfaiga6xmgTRoWKTgx5lwEWuvzGsCM/cn/b0b0HQcl1RUVFQqjJ9/gaTy9mPww+Z77l73Bv374tvrll8Ftc5ZtbBt9ngSvH9WNDrh+GXB4llPe/D7h+eGC3ozyoeJzACwURqmuQsX0HSg/vh66KFxcqpOsVxHfnUbJoCXQpxHdVxajWFaNeV0b36mzoKM6HgHv4TcXfA9kOsNsDDTbwOaGObAWGrqwCK0ePwWl3D5z31KJ8dE/oLh2A7rUxuKP5G66S0L3lH4iMVMnWqaW2Yeh0jShMiMVnr07G7g/nIKcgVYo7PQ8HZs/HxinToQu/Q9dk26Q1bRWtUIWuAkwg8rksLn8oodsRmAjldDvCg4mSR8P5Qf+2HaTtD6PRhg79dB7w90oy8XNdcZ2096PiMcD9CLahEbVVrd/sKe/VNbQOCv14sP292NGRHxUqOi/4b+yHErrcJ/OR0+B+mlclVt6TwW96eXoyf2vLeWH+5aP85jYsLExc4+33+O2t/J2vjB+/n/j/2zvvOKvKa39z7+fe+7v93tSbxHSTWOkdwV6x1xhjYozdmGhMjD3RRGNvsfeCihXEimJBsaAgoIAgoHQGpgP5f/32s2e+45qXfWbOjDMwM6w/ns/ZZ799vWWt9b777LNx8Pou6CbkdtZ6W12zOnNmGx2jTJfUr80c4bXMj8/suc/0ZOibjqS+kc/kKns5kbMcVvVDU380R/nVZGk9is9fBEH932vsrRlv2K0HHmjjTzrR/r4Chzbr99qV9sBFZ9vVhxxoqx5/xOry9GszW6iuoYxlC+yK00+0edsPskX9htvS039hf3/pcfv7cb+0d/r0sWd6D7ePDz2mWZ1yStR3cyUcXYdX4FK8neXoakGT88qnV/hFKK7i++/lOrrEbbjm07Nh3E2B2lMU1hJVVVVNip8TgfbkEWwEmhbgbKyuy8Ys15mT2/SZxWGs/x2yPqzLjIC12cK/QT4bHeaWpyhOEHRf0Ced5eiyJvNJGTx5w0uiFMY1p7xz5szJf3+rx5Ll4PLCKX6LSxi/v8XBVX6sFaQH8laem4L2lN9ePcWGAHLgOnRdN6DxMKFmXbXVrkenZTbLuoY5sG5dputwdDN92DS/vJ4MfdNhdJajW53ZKM0c3UZbRo5uZX5Kn9kx77xtf5/NEyhZnPqVuaP79yXz7e+TXsic2mxdy+5Xr8f2ycZFfRZnzRJ7d9xDtrDvUFs8eJQ9vUt/e+OgXezDEcNt2sAB9sbIvezv513aVJ8mStR3cyUcXYdXGHIuO/NEl3xQjiqrNYirhZBr/x1nYB2Tp/FRmfVZ/lWNj1CszcOZdFxn5WafTRN+I08IDJRJkybZZZddlv9n8J/+9Cd74IEHmpQ2tMdgwNHVo8vICpmkcYIuTIlxuH5t8f2ND2PSUxQnCLovrLud7ejikJI3n5zGsu7r9JZHk8Gf4vKdtynzrwT8PU96giuqMyowDNdVZQZkpa1t1H05G2H98HJJZTR27Nhcz1166aV29tln2x133JG3RXEVry1gj/A3Q1y3R18GXQzpv9S5KoobtJu6JtY1Ut+IvjeE/x27Q7ZHQX9UNbKBHc17BjLIKz+ZzT6xvdf/vdJq1q/IbHQc3myNyu9BXU7+GHsGNnzDxn5ms9dla13Nsuw6c3zvvc1eGDnYlg3fMmfhqN62YOT29swt19rfKxbnTwc0e3Ta1xkI24wJR9fhlY6cy850dAXlYAjIeS2FFCjoHunz79kE8Y4uTu6auoZwJkB1NnGAycU9Jl9nOrpFMsJgGT16tG2//fa266675gbVfvvtZ0OGDMnhTdTEQx5p2tbgN19yliWrNE7QhSk1DjtpfLYd5pKnKE4QdF9YNzvL0RXoOU5m+V0tDi6ntQLHFn3Lb29xcDm95X9pef+C1wnSzT7fZVU1DY5ubiR+9gRIXW0DPm5ngOOe3qM9gwYNsj59+thuu+1mRx55pGFLDB061LbddlsbN27cBmnKhRNwObpBD0B6LhzdTqXTHN0mGtZG7Os19dX5qT0Ob33m4Nb9vcLq1+NH4NRma2nOho5ugx3fuMbWrcw+s7XuvTdtwc+PtE8HftuWDPmefTjoBzZ32NZW/+F79vf61bmNH45uaXpJcQUNzqOuUcjw+uuv58oJZVsUry2QzqN7/F4JeOsk3/WWZY9PJ3ze+altfl2VsyS7XpqxKqMmozKjImN1I1wDYeDz6gxefvnlXOnvueeeNn78+FxRcx+58uf+Rx99tN199935vbRt5cBvlng7J9dF8gmCIAhKg57B0cTR5WcgRXE+z9r67LPP2kknnWTXXXdd7lDzODIvk5KDC3pUed68ebmzjQ5O85FO5HpdRu36dbY6+16Vh3/2+Gdt4+f6dY2fnYhkgsPLJ+0aMWJEbjs8//zzuX5SXGwKnma68847m7WlLfDGZU6Fi8KCIEhgDcioy66huhHdF2sz2xlq+b/afC0RDeGsKSB7uyledRZeUWPr35mZfdZnNnV94/16WzvjQ1u/8FNbv7rKqtYuydasiqZ61WXxQHb7etaCxvWgLlvX1leusfWLsnn+i2NsxvBhNmPk9+ztAV+zucO3tpkDt7TpJ59u62d+1NSu9fWNNOXfeH8zJxxdh1fgHe3oykAAr9woAyXIo7c+vCiu7gmf/2eObjbZsgmzIrt+/aPFdtVtd9p5l11lv7v0Brt3wiu2MruPQYCzixPMpM0nfCegtuHUcmK788475y8RKYpL+0sZNuXAb5ak+IvkEwRBEJQGPdNZju7Pf/5z+9KXvmS9evXKH9/lVJc3KfNyKZxbHMPp06fnazhrudcDlEfdUt2Q38s+cXTZrH3r/fft5ltusHPPPctuvXuMvTT5ncxo3Dh6AP2la16mNWzYMNt7773zE2nuUXeQI8w17eRa7ZNsywFdqbyDICgN80XrgBy/chxdfivbzNHNKOno1q63mqkz7NZfnGyvX/m3rIzGdefjT+ze8y+yR3/zW1u/eFl2b7VNen2Cyy9bEzJSR5f0eR5LFtuYC863KX22t6kD+tvMUd/PnN49bfaQrWzOsK3trmGjbNqJpzW1qzVHN5eF+765EI6uww8CKaaOPNEF0qLUgO/85oi8cQiVr1d6iqe0irMBTGSn1M+avN6+fcrd9oUT7rAvn3iX/fexd9lXT3nI7n3spXyi4uyuWldnldW1jQ5y58Hvk7773e/ao48+mn8v1QZkgcyLwlrDO7rg5RYEQRC0DGtmRzm6Ps5NN91k//iP/5g7uf/0T/9kF110Uf5YMg4up7ozZszI1+7KyspmeUBL5Xldcdxzq+1bv3nA/ufkh+0LpzxiXzvhHvvOaQ/aU5Onb5Qnlry+Of/8823LLbe0iRMnNosjfHvS9tEmr/9LEY5uELQBHNnss8nWrcnWjsz2bbhX95nju77C1q1fnM0xwjiVrcnhGqrW1+antcq3tr4qi599n/aKPXXc4Taz/xCb3nugLT//97b+ncm2/qfH2vt9BtmDg/rYB788OitznlU/eJ3Nvv0GW78ss1fXLcry+TQD/yKDdSSjcm1mC+PoLl5s9593nj1/+DFWcdn1NvmWa239mmU2d8JjduFPDrFPLvubLfprltfibC1Yh7NcbZX1Wf3Xr8qu2UhjTaX+rDEN64rqvjkRjq7DD4KOcHSllBRf1ygyKUadZOKopfF0zWd6fwPqs0FcU2v12fUnS5bbD05/wL518l32tdMesK+eel/2Oda+cPx9dto5l9uiigYnd0U9E6Agrw6EXfqBAwfaPvvs0+zxLY9vlzdeuEY+3ogoBfLzir+cNEEQBEEDrJkd5eh6Hcejyji5gMN7zjnn5Ce5H3zwQa770AtscqZrdrllcYL6jdPus6//6t7cyf3yb56wLU5+IOfY315oc1cWp+sMOKkePHhw/i4K3uvBvVK6iNNdr+9oK9/VZrW/iHB0g6DtVNVmjmt9NucWL7WFk9+wlauXZzZzbe7krq5dbzPnvGyLlrybxW2Ys9WZ47i20cmty5za6swpxtmtW5qtj6txihtPfZd8aB9f/UebP3xUztidhtukQ/e3OYN3sI9H7GSPDBto62++3mofusGW3flXm3rtZfbWVX/J0i7OHFvm8YaObn6iXJfx0Txb//TLVn/d7VbzxqSs3KWZvV9pde+9aevuGmvr73ssS1tt61cuthWVC/LfAXNyDCsqF9kny+bkbcShp02sH14mmwPh6Dr8AEDhQEc6ukXw21yUFkpR8UqlaTEvHleozZzd7Pqtt6fZ/5z8oH3ptEzpn/Wk/fupD9iXTnrYvnzKo/aNY2+0M15ocDhrmUj1y239ugaF3JFIgT/yyCP5izcwdtI4Qu0iDUYBb0+eMGFC/nbKWbNmFaZJKXJ0S8oqCIIgaAZrZmc8uszvbXkB4b/8y7/YF7/4xfxdDLw4MM2H79RBesCHFUE8HGReYvhfv37M/vO0TL/9fpx9+ddjbYs/vGD/97vnbLszHrQrZxSn70j06PJjjz1mW221lZ177rl5e3BmW2oLbcDRpw133XVX7rRzX3IuRTi6QVA+PL7Lk4z591WZ/fuHC+31kbvZqgevzxzED7J7a2z1Aw/Zi6OH2ZrzTrL6Kmxk1qe6zKbOHNv1VTnrK7O5PHWGzT79HFv/5PNZGCemtbZ+wXRbP+U5m3f5uXbj7oNtxvAR9v6w4TZ3h1H2wdDhtv6OrJwxd9iEXxxk6x+/06Y9dJctfvGpbG3gRHdxVreKnAYHm3KztbCuJrPNqccaW3/27+z14YPtg31H2/oJT9n6Ndncf+R2e3PUEJu7/162/u0XbPkFv7FFl51t6+dPzdKwNsy39S8+btNPP9aWz5xi62uWZg4vjnlz2WwO9CpaRDdX5BwBCgp4+yNvBuZ3pkXxWoJ4oigccHQxKnCkda9Umhbzqs9Y23A98cXX7IuZk/v1M8fZf/zqwdzR/cbp4+z/TnvMvnX8zXbaMw1tWZunxcFueGy6M7j22mvtq1/9qj3xxBP5d8k1jSeQwymnnJLLfOutt84f/yqKl8JGwfz585u+81bOluQeBEEQfAZrJhu7Bx10UK6TiuK0qIMKwBHlk/WZFxKycYnjy2PKadz20uDoPpo5upzmPmJfyhzdr5zxtH3htCet928fzhzd4nSdwdVXX53rO06skWdLug54qdQZZ5xhBxxwgPXu3Tt/cRX3JedS0D84xWl+QRBsSE1GfeP1G888a8/2HWovDBxhV48eaqsevsEqH3rErtl7Xxu3c5+ch+67O4tbb1W1PGnJUxaZPbmu2ta9P8cePfUMu2PIjvb6z06wZcsW2vIVi+yji39nr55ytK17/Wl76bSf2ZLR+9q0wUNtWv+BVn/ET2zd04/YkkvOs3UfTLZ1D9xgtVNftXVVS7N8l2dUZPVblUM5DbDGQq0tWjgrc2ZH20sD+9qLAwfah5lt/PFVF9it+wzPHN2htu62G23FH8+wh3bsZ7fuNtAWXHqWrauZacveH28vHr2/3TJ8O7vi96dY3YIZWRvWWm19y2tSTyQcXQcKRNcb29FN8y9K01I+uaML2fWK5dX2g5PvsR+ecq99+bQH7GtnjLVvnzrGvn7iPXbEH662d9ess6r6aqvLBv3adZXZ55oN8+sgOMndYost8jcr8532ygmVEZAaBCjwZcuW5XLnd7263xLh6AZBELSfznB0hdJRBieR+qkO39O45aA6kB598a1f32PfOOVO++JvxucO7vdPuCPn57+/0j6oKM6jM+D/4b/1rW/lL9pKw+T0A/XXd3Q//xjA487aEJa8ShGObhCUD45uXUZtxuKKlTb35/vZuGE/tE/6bWEVI35k83fa0mYN28IeHTrSPvrlybZw3swsHS+Irc1s5MZ5m827ddPfsMt+cqA9vM/etm7sw7bujam27pmXbMqpP7N1Y26xirE327qXHsmub7eJB+xpk/r3sYl9trV1991q6155zmruuNbWvfeKraubl+X5qa2b9aGtu+c+q/pkdva9oZz63KnO5jlO6brVOeteecjGHL2brejd25Ztu53N324bW9S3t924R1/75LpzbdWVF9jduwy0VYNG2fIBO9i6439lq/Y7xOb1GW5ztxtm1/0ic7ZnvNPQjryMBvLDscYDsp5MOLoOFIiuu4qj69O2lM+62oyabPDWZZ/ZwL1g8jr70a/ut/8+4U7735Putq/+8k7b4uT77brxb9qiLD6nuTi6NfluUoPR0Rmww43iHzNmTP4dw4THvOTwpvEFMtl3333zR8GKwlPC0Q2CIGg/rJndxdH1TiP65JjxS+ybp91t/33yo/Y/pzxu3z3+tkz/3WuPvDrHlrt0nc3ll1+en+jefHNm8GbfaTP1S+MB9oVkyc91cHSfeeaZ/LvkVYpwdIOgfHB0oToDZ3fdjJdzZ3dRn2/Y4gHftg9HfCt3dOcdf6qte/O9LA3rUnXGWlu64lN75Pzzbd3bb2ffa23Zs4/aukfG2rqbb7IHDz7Sqm69x9ZNGm/r7r/Zqh691e766T427zcn2LqH77a3Rw6zql9kTvDdN9tbB+9jt+0x3BZedoGtq8oc3HULbf4fzrHbhg2zay/6g9UuwfnFLq/LnV1ocnTr5mYO9ANWn8Vd2aevLRsyyBb03s7GH7ufrZv3uq1bMN2W/vUcW9JnWO7oTus31N7rO8QW9Btp9XseYmtff8nWVTSs6Wuq14SjuzmDAtH1pnB0Fc/HL3Xtye9rwDYO2qUZb8xZYb+/5Bo75bw/2xl/vcrufnqirariEYkaq8zCYVUjHT3gVVdOcvl91qGHHpqf0qbxaD8v8EjDkAkvsNIOd2uEoxsEQdB+uoujW1SHFfXr7PnX37c/3/SQ/fYvN9lZF99gT02abjWZTuMkx8ftTNB3vHGZTdqi8DVr1tiiRYvya9qAjcE18ubviPiPeYW1RDi6QdAWWGcyeGx3bV3m9K20NbfebEsHfM+WD97SFgzobUuGDbAPb7vO1lUvs4osDY7xunnv2COnHGnv9vmRzR81xNZNfsvWraqydQ+Ntdt33NmmD9w6c5B727pLLrR14zLnd/d9beG2A2ziqMzBPeM0+/S5O+21Wy+0JX85K3+E+P3hI23GDqOs6vK/2LI/nW8fbjvS5vXd2e7ec39b9+Dj+WPFVbVZ/muzumZUZU4urFszx1Y+eL0t2nEnm9a7jy0ZMNQ+3q6ffbD3zrbuyYezts3O4rxuK479ib00rI9V9h5mtf1H2Pjdd7F1T43LwrN212ZrOvlm7apqZEM59UzC0XWgQHTd0Y5uqTTtdXS5bhY/cVJXZCzLWN0Izizf19Sutuq11Z3u6EqB075LLrnEvve979mJJ56Y/+YWmU6aNMkeeOABO+qoo+y0005r+s0Whg/wW12MBSn+1ghHNwiCoP2wZnaXE12BI1tV16DDMNxwajnB5dQGvVdV23iCs5HgpPnPf/6zff/738/fNcFG7XPPPZcO9IeWAACpnUlEQVSf1N5222125JFH2q9//esmewI9iVyQ95577pm/vJH7klcpwtENgjZQ3/A729zJzZzJmjtvt3v2G22L+37LlvT7du7oLhrU12448gBb/NCdTTbzuumT7PHTjrZp/ba29wdua48ceqR99Oe/WvUNN9riv1xq0wZsZe/0/aG9uM8u9vL+e2b5DbVlA4fby7uOsnU3ZU7z4rdsxsNX27oXH7OZvz3epvQbaNOGjbAxO4+0+3ccbouH7mMLB+5hiy/L4s7jb41YszZ0dCvG3mg3HbKjfTBosL3fr799tE2Ds/tS/61t+q4jbPXiiTZ/5iP2/uidbcrOw2zN9kNzHhk1wtZddomtq+P3wNmagxwyONnerBzdokV0c0XOEaCw4LXXXssdXV4aURSvJYjnKYrDY008tsSJpuL4uC1d+/j1dZ/l2ZzqDP66IYubDfC12USHmkaqszhQnLb9+LoCv9UdOnSo9e/fP//kL4d+9KMf2SGHHJIbAj4uoMiR+4svvph/15s4S4FjzEtO9J34aR2CIAiCYlgz2YTE0UUnFcXxeqctkEZvScZBY2OS+62t661RX994zSegB6Hxu/RbTSNp+s7iyiuvzPUcL1Ts169frvd4G/MxxxzTpNNAsuQtyjzB9PTTT+ffkZOPk4J+ZGNXcYIgKE11Zv/m87+mzmZMeMbeH9zbZgzpY2MG7WQfHn+6zTpyf5swoo992vubtnLQljb+iccb7eVqmz3zdVt+1KH29o6DbWn/b9sn23/dJo0+yNY+Pt7WnnORvTxwpC0aMNg+7jvQ5gwfbvN33NGWPHSdrZ3/hi1982Fb+/Gk7PpVq3zxXqvJ5v+UwYNsZd+RtqLPDvbILrtaxZ8uyspZndVvZVa/hr/TXFGzxipzW32lffrJTHspK/uFHQbarbv1t+d/mZX9zH12z0/3tkeH9rUlZ5xka2+4ymYeup99PHwHmzNoiD2xxy725J672qfbDrOlvUfa21dcYms/+dhqcZ7rs7VF66VwsuqJhKPrQIHoujMdXX/dkY5u7uymg7YumzjApN2Ijm4KdcS4ef/99/MXdUydOjV/AQftVxyuicfjXShxFP+4cePyfvDxighHNwiCoP10R0e3CRlsXcTRBZ5SevPNN/ONXP4zGB2lsLTdPM6811575e+kIF2q7yR3EY5uELQNnN21q6vs7ceesA+G97e3ev/A3v/5Kbb2pTdt7UfTbMYR+9pHP/yy1e/Ux97IbNT8cGgtT1pW2tonHrK5++1hS/p901YM/J7d23eQrTn3j7Z24mSbvtu+trDfIJvXu7+926evrf3tmbZ2yTRb9uiNNn3c9XbNGYdY1Uv32drqD2ztGafbpN7bW8WAHW1V/1G5o7v2pcwRXpv5Gzi6tTihDWvDmrU87bHKqioX2drzzrRnMqd2/E/3sbUfTLa1VZmt+/Ij9tbh+9raq/5sVb85yZ7ot42937uvLdttj6y+Y632sotzRxeu2HdPW/v6q7mjW488tF4KJ6eeSDi6DhSIrruqo+vjNL/mM6NRydfnA7o+V/KVGRsq+kanVw5wJw94ZKn60ma9jErhXvFfdNFFdvjhh+e/ddp1113zR55xjAkjH8XzhKMbBEHQflgzu5+jS3rpsDqry+5Bdb6Jy/eqnKZ4zdJufGgvus/f+8tf/pLrOx53Rt+dcMIJzfSdZO4JRzcIygcHj4OdtZnzWLdqib039k674+xTbf68adk9bMo6Wzlvpj321wtt+WsTc1u5Enu4JnNyVy6zteecbpOHD7BXdjra1l54h62982Zb+9Rjtuzkg238oG/Z0r+eZ2sfv8fe2Gsve3b4MFuTOZ+1119m5w39oT156k9s7XuvW+UFZ9nM3gNtVuYkPzZypN0/cGDmwF5sa2+92xbeeKut/XSpra1kHcvKfeZtW3H5nbb2k8w5rs+c7TWL7cmH77S5775ua+sq8jrXra2wmW++ajPfei1z1JfY+NPOslt+cpStffb5bO3L1tja2fbeDRfbxXsPszceuTtrx8JGWWTrj+x94WTVEwlH14EC0TUKBjrL0dV3nD7+PJ9Hl3QvjeuvfZzm13xmNJ7s1jKhs8lbeke7UfFvJEcXfJ2RrYwcKX6FTZkyJX+8i9+L8XIP/n+RP9UnrBTh6AZBELQf1sxwdDsGnkriM5WVZODvvfPOO/n/5/Lfu+g6PpUeJHNPOLpBUD44uvl1PfMqszeXzG6AU1S+V2Hf1zY4kVXL8lPPNRwaLfnEnr7+Wnt1aF97Y2TmmP4pcz4vuN3WjrnL1r46MXdy6876Web4Xmdzzv21rX1krL26+252/+4jbMVlF9ra8ZmDOXm8rb36Ertv4Hb2Qb/BNnvAMJt70km29r77bO0d99ure+xrl++yh8295ob8aZTKGR/aM0ecYneMOshuOuuUBmc3P91lHcvqWr0yaw/rZ+aEs6bVZHVenq0psz+xte9mjvsqHOHsGlbMtbVvPpvdW2Rra2kjayKnxsjC4WTVEwlH14EC0fXGdnSXLVmaDfLGOHxq8KXX+r7BNZ/k3QjflS5DBsBnDq8Uf8pnaboaXoYp4egGQRC0n27t6BaGebq+fkuRbPgEyR7C0Q2C8uHQh8/6eg5VNnwqkIOh+jxOozNZhzOYOZevzrRrDzjGnth5tK29PnNyf3WKvTpooL0yYmj2/Zos/Amrvu5Cm7PjcHtvYF+be+aZtvaJJ+zmQ39h71z6N1s7L8vjqam29ukXbPqBh9qdOw6z2uuvzBzoyZkT+qYtPOdEu2Xgd+39IQNtFnmecY6t3vsgm9F3e5vZr7fdt8futvbxR23F25mzWs+anPkJa5dk4LBTV9bibE2gbXk7GpCdr+8NTjHgMGewhmcovKKRVC5NPwUpCutG9PKL5+aOVyacMoIcXT1anMZrCSkokd7nmt/j8FvVpZniqq9tjMNn5rwWXuv7Btd8kncjfFe6jNpGqhupzyZxMZ+l6U7wFsuPPvqo6Ttvs/QyD4IgCEqjfxnA0WXztShOqsvKhTTkj07FQWNjkvvcS+O2jXL1VvfUb8hHSPbARgQbu0VpgiBoDn/bAzi6DTQPr6mvyamvX5NRafU1De+LqV9Sb5/eM94m7HGQ1b/wutX//nc2qX8/mzR8iL2+8yj74Kzj7KG9h9q7mZM7dUAfm/zzn1v900/bsvvHZWmz/B5+xe7b/adWf8FFVv/8S1Z/z+1Wf9+d9sJ9F9mqWU9Z/dTnbd7vj83S97MZwwbbB/1H2Kx+w2xO5vhW7LNnFvdem3v+uTbx9sutvnqBVS/7MKsXT3+uzuz7iszmp87ZmpDVFWoakZ2v7w3tAuJnsIZnKHxVI6lc5FdscL+bEY6uwyvw7ufoFkBYCvlkyPFNUfimxsvNy6sU4egGQRC0H9bM7ufobp7oRLcoLAiCNtJoH9fUV+UsrV1miyuXZNe1tqJqpX045S2rr8C5nG8vXne2vTZoK5s8ZGubt91gWzJwR3t+x94284g9rP6Zp61+0iSrnz3T6ic8aSt2HGDz+v3QHh68ly05/SKrvfhyGztyF3utb3+r/+3vbemLd1n9wlet5sRf2EsD+9iSfiPt097D7MXdh1n9E/fZpNv/ai/fcZnVL84c3LczR3nMg1Y/N7NzK1bkrMmc1urM0U0dWzm+dbkT/BmftZlrwKGvysJqGmlIV9mI8utq/kFbCUfX4RV4OLrdi3B0gyAI2k84ut2HcHSDoANptJlxcmvrq211/RqrqF9tFbWrrcqfAC+dZvXvTrA5+46yKcO3t+VDdrGFfUfYa3sOsvqn7s2c26fs8Z//3KrHPmAv/O43NrffD+zjgVvbm4ccb/X3PW1Lfnee3Td4h9zR/XDXPWzFK/fakol32sLDDrTJIwblTu7iPiNs/Ig+Vn9N5hhPm2j18960+plT7JkLz7Dbdt/Dll57ndWvzPyRygpbXVed1S9bV7O6haNbmnB0HV6B9zhHN39sw9F0v2cQjm4QBEH7CUd30yIZlaO7wtENgg4EW7jxp38N93jEl7Wp4RFhHmue8eH7Vj/+Iau/+0b7YJeB9s7QbWx6//42Y+Agm7Fj5piefZLVf/qJzX34QXvlgYdtxXszbOxRP7aHfnKE1U+eYAsevtXqb7zcKi6/0FZcf37mGN9h9fdeY68ftmv+6PPM4YNszA5D7OFRw2z6oH42Lbv34WXnWv2sN2zpzdfZFaMG2yOjdrPnRh9kcya/nNW3ssnR9YdVNQVrR5Oj22j348ziwNbXrLD69163+vczapbamvoltqp+sdW/Md3qHxqflVFh9VVZHJdXdyQcXYdXLuHodi/C0Q2CIGg/rJnh6G46JKNydFc4ukHQgTTaw3rHTX1tVfadk9zKjMzZzeIsWrLQll53qT186OjcyZ22Q2/7eKed7J3efeztIT+090dtb1NuutHql2W2/KdLszyyfKa/a/XTpmbpV9jUGy+1B/cYkTmRL9iSa8+x+okP2PxTj7Qxg7e0GcMG2tydd7D6h++35ef/waZsv5W93Xc7u3W/naz+6cy5fuJBe/rEX9hDI3a2+suutfoln2SO6ZrcyZWji4ML1QXrR+roVmXXFVVZ26a9YfeddpzddsJPrf71F6y6frktWjXb5p1zsd2382h76J7MOc9/2/tZXt2RXggkaEAKBngbMrz66qu277775n//UxSvJaS0RHqfa/5GgD+LX7p4idXVNMbhM3NUC6/1Pb2urWyghu+6l33W8Tc+5UDc7gtvxZ47d27Td97u6WUeBEEQlEb/MnDggQfmm69FcVJdVi6kIX90Ki9RYmOS+9xL427OSL6tyRhHFzkWhQVB0EawlTNWZ9cVfK9uJHN4c/u4enXOG4fsYQ8P3dYe3mE7m3XCYVb37JM26aRjbFLfH9nrg7e3a47c1+pmTbGldcszsjWuknUum8v332WTRw61umsus7qrLrVxvQfYR0ccZXV33mYTR+9lD+y7q9WNvdfm336V1b31vM3/42l25y597I3zfmNzr7nYFl1xma244Tp746I/Wt3yBl+kqnZlVqesbpmtX5vVvYGGdbbU+lHbCNcrVq2yFb861Z4Y0N+mDPi+rTxsd6t74l6rO/2XNqv39jaj93Z2xY93sboPXt4gn+5GOLoOPzh6jqObfaZObU31hvfIvxsTjm4QBEH7CUe3+xCObhB0INjKGTi60OTo1mBXZ84utjX3x91vL+07yt475kCre2aMzf7jOVZ5y7VWd8ov7N1Rg23pY/dYXcVCW1G3ylbWVeSO7pRxj9irOwyxV0YMtrrrr7C6S/9ozw4abk/1HWSrzvm91Y1/InN4b7QPL/idzb45c4Snv5LxotXdfaXNv+FSe/7046zuuWdtws+OtmX3Z47o6gqryfKuzsqorsgc8MzW945u4frc2D6d+q6uqmxweJ8an//v79QhW9nkPt+2qXvvYJN26G0fDRpg72+3rS0Ye2PWhs/s6u5KOLoOP0C6jaOr/LJBD5qgTITaumwSZOE1lXVWXcmEqM6f6a/IJm519lmTObgpeTkbgVQm/n56rxzC0Q2CIGg/nenoAukoQ/+jq3tpvLZB+s/ywHirVlimJ2urOZHh+6bd0C0lt/a2PxzdIOhAsKkzqrJrUcn60Thv89PTzGauW/Wx1b3zktU9O9YqjxhtH//g+1a3y85Wd8u5meN7SxZnYcZHGautqjKz6ddU27TnJtoze+9t9w0ZbBPOPNnqZr9nq84/xx7fZaRNHjggc5KzexPHWt3Dt9jydx+2uo+etU/PPzXL81Kre3mC1Yy51d4ffbi9OGQXe3af/azuoUeyulKfhjU0P9hybcjhu6fxAKwyu4Y61kWoyNbEt6fbnJ0H2vRh22UO7g/sw77fsWcHb5+Vf02etpJ2K59uSji6Dq90urWjmw1oHN3V1csa0uUQN5uwjRQ5ufBZ/I5FO/fvvvuunXvuuXbEEUfY6NGj7eCDD7aTTz7ZJk6cmDur7d3hD0c3CIKg/XRnR7c2g83bNZnuw0j9zNjL9EmzJ5h0v3NpTd8999xz+Xs/sDHStOUQjm4QdCCsFxne0YXP1rs1GdVWc+/f7LGjD7Sl++9sU/pkTu7IHWzxNlvbxMOH25Lzj7H5M57L1hvsUOb1ZwdPdXfeadOPPTZzXJ+2uqrMl/hwhs391cn2ct++9tawYfbwUfvY3MvPsbqlr9lDV55sdw7f2h7adYC9ed7pNvfqi2z6PofZ8wN3tIdH7mRP7LKHLZz6ekOdVmdrW1XzNny29jmKHN2qLD11W7zC6n5xqL07eBub0/97tmDoVvbhYftmjvujedrqfI1tzKebEo6uwyvdbuPoNl77RxfyuKsylmZtqKu0FVXLra6youE+k4Kw6myC1NbY6myywMYwBO6++27beuutbcSIEfarX/3KLr/8cjv//PNt//33ty222MKuvvrqJgOorYSjGwRB0H66sqPLKW1+UttosPE7uvy3dOg/QK9lcG9lrhMzFF+G4EamJX33jW98w6688sqmR7jbSji6QdAJaD1pBGc3dwzrKmzFyk9s/qDd7KMBu9gdI3rblF8eYXVP3GjPnnyATRncz17ps63dfsFvs/VmsdXmNjXpMqp47HmFLV82J/v8NCPzJR68z2YevL8tGjjUPu47yCYesXd27xaru/4Sq7vsfHt6nxE2Ye/hVvvg9VY3e3LmdI6zR4842O4a1NdWXHCOVcyZmuWzKvNRmtvsn62nsucbYeMtoypzwKEpzcxltvzC621B/+/Y8h22thkDtrMPh/WzGTttY0sPHml1U96yuuXts8m7Er2kuIIGJaxr3oYMr7zySu7ooliK4rUE8Tzpfa5Xr15tCxcutCWfZpOjujEOn7nzWnCt78l1dRX5fpb3lDvGWMWr7zSka2TiU+NsxqNPW20Wt7amOof/CYPa2ux7zmfxO5K77rrLfvSjH9lvf/vb3CH1Ycj2nnvuyeGtnD6sXNgdnzNnTtN38vEyD4IgCErDmsnGLo4um69Fcbzuaiuk829d1r00XhFVjdRWN7CitiZzaLNrdFnGc3c/ZPMnN+i75cTJPl98+gV75ZFxzfLZWLSm73CCARvDh5XL4sWL838ZKAoLgqCdYE87KrN7UFtbYZVVy6z2qjvswz6j7IUjRlvt5Getds0sq31vgk0bNdwWHbCPLX97UhY3i1dblaVblX1m61vm6NbUZPY932sW2usvPGzv7b+PPTNkgC3MHN2P+gywD04/1mofv9sm7LWDLT33NKu9+o9W++idNufKP9ib555ota+9aLXjHrHau2/PufuqLHzVgixP6ibb36+nsucbwa7OqKzN/JoM4iz99BP75Owr7cEdD7G5vbewD7f9utUedZjNGT7Q3h72/cx5/7Y9+Mvjrfb1N/P43ZlwdB1e6XY3R7emigGdXX/yiU276SZ7Z/uv24q9h2QT5PlsQnxitbf/1d7cta+NGzbIqn5/hq2qXGw1tZmxQXrl30lgPKH0eWTLy0FIHkVh5RKObhAEQfvpyo5uyuqa6gbH96Pl9t51d9ubQ7eyRQfumBllT2T6bL7V3nW7vbzLKHt96A+t9rrMKEzSdyat6TvgPrpf12l4a4SjGwSdSKNdzF/1QFXj5hlMe/st+3Be5uDm39dkVNq82W/bW1Oey66xwytsWQbvwsnjVFXZ6uwz35j7aIndfOaFNnH73e2VfnvbPUcfY7Wvvm4v3HenPXX7TVYx9km79oDDMrt9ii274RZ7v+8Im9V/lC2//Byrnfma1Y69z6bsPNye7z/MVh93itWsyJznvG44spRH+dVZnZujg62m75kDvmzJYvvk8lvt2uH72E0jB9nHF2VlLF5k700Yby/tuLM9NXiojf/9JZkj/5lD3V0JR9fhFU53c3TzcHh/ht38s5/be32+abOH/dDu/flhNu3Ki+zdvQbbxCFb2lPDh9g7B+1vsz6cmsWvbDzdbUzbwVRUVOTtO+WUU6xfv375Y3Hc97JIaSmsJcLRDYIgaD/dydHNnVx4f4H97cfH2xuDf2BvDtvabvj5Pvbq1X+wN/bczSYMHWCvDdrSlhy+xwbpO4P26DviI5OisJYIRzcIOhFs4gw5uhVrGj4VXlG9IluD1tia2uXZ98zZrebEtiJjtVWuXmJLa1fZ8vxJSeLXZE4vT6Fk1yszZi2wRQeeZLP3+kXu5NYuXWG1Fcvs8Zuus2lX3ZA5uW9lTu1sm3Tq6Taj3w45jx2wk80++2Sbud+e9sqIQTZ5h11sweE/tSXzPm6031ljGhzYchzdGt66TH0+XmML/nqzzbngd1Y7P3Peq3Hcszyu/5utPPU0q313vtWuIv/uTTi6Dq+Qut+JbmXj4K2xGbOm2Xs772ZThu1gy4b8yD7e/lu2YMj2Nm/Atvann+5pa94cn8WryiZpg7HRsCPUsfDbYz5feukl6927dy5DL4MilAYwhPgdF33g45QiHN0gCIL205Ud3ZpG9N0bne/N/tDGDR9u40fsYB/0/Z7N6vNdm9/7e/Zxn+/bXYfva7UvPdUUt7Noj77zkB5HuVynNxzdIOh85OhWZXZ2ZWYnV1dnjmzVKltWvTxzXFfZmorM0a1Zk61N1Zk9vcZWZXb1p2t4dDlLn9mvfFZxsoudXgENzm/1nNm2csb7trC20hbkp8I1tipL9/GbbzbEWZP5A4vn2Izfnmx37TTEpg7Y2t7s+0P7dMD2tqDPNvbALw6y2skTGsrBkc0+a7I8wDu4peD0t2pNg2O+pnJ5/oQnVNaszsIrraKywlZUrMifFG16WrQbE46uwyumbnei2zRwGwflU8/Y9F33sE/6fc+WDv6hfTx4O1s8or/Vvves1a7+MHdyG35DQPoMPtuJb1vKvffea1tuuaVdf/31+Xfaq7AipY4sbrvtNvvlL39pP/3pT+2qq67a4DdORYSjGwRB0H66k6PLNQZow+/nMp5/3p7beWdbOGw7mzdk69zJrd1juNVOedFql85rStdZSJel+s7rOH+tDVxecvm3v/3NjjvuODv66KPzFzKmDqxPJ8LRDYLOxzu6gKMLq/JHk7Fls7mZObqrMwcRcHRZkyY98oi9OaHBEa2sbpjrM1+ZYi/cdrvVLlnakH9msy/JPoGDp2ryW5PFrcwc4xU8Lpw50R+8Yy8cdYhNG7KdzRzWxxb1384qdhhitS89njnSrGusn1VNTm7Zjm4TWbnVqzIHF+e8Ij+l5j75SAY9wtGV4goalLCu2WGFl19+ucnRLYrXEsTzpPe5Zhd3wYIF9umnnzbdS+P6ax+n2XVlhVWuXmE1lauzgbnGah6+yz7YYwd7d+C3bdbwH9qs/t+1ecO2spqXn7CaJbNsZc0qq8gmZp535igrv/aiOqo+ukaJf/nLX7ZnnnkmN254kzVtJkwyBr4Txo44b6a87777bOzYsbnRddRRRzWTfxEYDLNnz276Tl5pvYIgCIJiWDPZ2GXNZcOxKE7Rel8upKMM3hbM24Z1L43XEpWNcN0s7a032Oxdd7A5A7fKmd1/e6vZby9b8/Z4q1kx87N4nYR02BVXXJG/Ufn5zPHmO+1VHMkOFJ+/1fvjH/9oY8aMsccee8wOOugg+/GPf9xM3/k8BPYCG8Dp/SAIOo6qRqozG3nlysxurdL9VVad2c/Lcye3JvussU8yB7hmxSKbfe+tNm23wfba0G2t5oVrs/hvWs1Td9rEw3ayl7fdxmpOPSWzuRdl9z+xNVVLcmoqV2Z5r7JlNVU5Nauy7/DAvfby6L1txvZb2vzB29sH2/W2hYOH2OIbLrGaBe9n+WRl4nzzzgLSJXDPk4Z/xoZt70mEo+vwilMOWHdxdHMnl0coKlba1Fdftnn77WpvDO1tU7b/mk0f/H2btv03c0f34WMOtJpJj+dO7qqaCqtm4naAowu+npzccn3NNdfY17/+9Vyh+3Bdp6RKHeU/bNgwe//9bFK7+ynh6AZBELQf1szu5OjmrFptkye+aB/sPMymDu1n84dsax8N2sZm9+Ozr1154oG27LVHm+XRGWjzlhPZb37zm/b000/n39VmH9cjOYjHH3+8LH0Xjm4QdD5ydJvuNTq6q2uW24cfz2i6j5NbwfXij+zRs06zif2+by/2/4Hd84uhNufW39jLP9nV7h25lU3p38/eGTzI5k1/OUv3aQbzf3lmg2frR0aTo1uxymaOG2cT99zNntpxpC0c3i9bz7azOX372ew+fe3aXQblzi4HXDWNTm6RI+ud3KLwz2hsXw8lHF2HV7rdzdGtqG4crFOn21WHH5VNsu/aK4N/YH898cf23uN32f377mq37TrCHh28o806+oTMyV2Tg5PbEY6uV+beybz11lvti1/8op133nn5d2SKcpdh4FEaD48x77XXXvljyWmYJxzdIAiC9sOa2WUdXQzMDE5OgLeN5vfemGlXH/xze3HQVvbigK3ssWMOs5pH7rbXdz/cHuuzo907aDd7++hTszzQN8BJasNpakeidqDvvvKVr+SntGmcFK8zlZ6/HOJUtzUnNhzdINi4rFmTzdfV2TXc/2C2xuxp1Y/cZDVLeWIkc1oXvmNLLj7Tap59yD795SH2/Iht7aMd+tiHQ7ax+YP72OwB29rj++9iNU8/ZDXzMye5crEtqVliS2uW2ZpsbYImx3PRErvrlyfbs9sPzNa1YfbgCSdk6Z6290/9g902eGebMGyUTd5rf5vz0Wc2b3Ma8ylJUZqeSzi6Dq90u6Ojm+90r6mxRWMftxf6fsvmHjDSVr39QhYnMypefc7uG72rjR+5u9XcdFeHO7r8RlZ1kez4/tZbb+U71MOHD89/m8U9D+Gc9vJYM6fAKH8ZANOmTcvfXqndce6Tv08vwtENgiBoP6yZ3cbRrczSobtW1dgnDzyVO7mzRu9oNROfsJpl8zJj8017accD7bGd9reaOznR7VxHVzpr8uTJ+cuo0HlFjui7776bP9bsdaTSvvPOOzZgwACbMGFCszRFhKMbBJuG2a+9nf/9zjNDhtnth+9qNePutJrlH9g9fzjObh++nb190k+s5rE7bNZhu+dO7uxh29nM3j+yhcMHWM29f7OaKc/bm2Nut5qPZ9rqbC1antnnGzi6i7P18eU37OODjrTZ+x2SpXkzKyO7994cm37K7+3FnfewmgcfszVVaxpPatN6NuZTkjR+zyYcXYdXulJE3cXRranM4qD4a5ZmrLIFLz9qy99+2lZm91Y0KtIPZn5g88ZNtJol2fdGw2FVdh9URnvRCa2UtufBBx+07bff3oYMGWJnn322XXbZZXbxxRfnv0Xabrvt7E9/+lNTXLUJQ4ud7bPOOiv/zhuYN2hzYxoIRzcIgqD9sGZ29UeXSzH7lcds7uQn883eZTUr83uV7860d556OtNzna8HfDv4ve0222xjI0aMsAsuuMAuvfRS+/Of/2xHHHGEDRo0yC655JJmaQGnFbmjH/nuH2kuklE4ukGwMWEONszDT6bNsZmHHWbP77CDLRy4ldXsMdxW7be3vde/t907fHv79OxTrebRO+yFQ3azOQP62+x+feyTftvZssH97cObLrKad56xMaN2tdm//p1VfMIcZq43bMCtyJxQqMxs+BUVmc+xaKpVfjQl39zjt8C5nf/pMpv30fQs/vK8Ppuj49pWerGIBg3IOQJOF2HSpEk2evTo/C2HRfFagnie9D7XOHAff/yxffLJJ0330rj+2sfx19VrsjiZQq+uXpKxLOPjjAW2vLLSqrI4ayrW5HGrV2QsqWy4rqzOHOEG8u8dgOqU8uSTT+ZvUe7bt6/tvvvuNmrUKNtnn33soosuyne5icOpLp84rDi5KH3eTunzUbvTctiIIJ2+k65UXYIgCILmsGaysXvAAQfkm69FcYrW3nIhHWXwtuDly5c33UvjtYvKj7LP+ba0eoUtrlpq1cszfZfpt1wnVjQ8KVSYroNQ2/R93Lhxduihh+abu7vssovtvPPOtvfee+eOr/SdwPHff//97Q9/+EOzekqHeRSGvcDPefQ9CILOo2rlimwtyeb34kY7+rln7f1sfuPozu3zfXunz3Y2rX8fW/D7k6z60bvspR/vZXcN28bm9O+fO7tLMyd3ycA+dvnoIbbmiVut+oprbcK+B9ucd9/I8svy5oVSGcurK3MqKpfZmmrs4fkZC2xJVuYnlLu6kWrWT8KzOlU21ikoSTi6Dq9IuoujW5ldr8k+K6rX2Op8kizJyZU86dZkEwFFv4YT0Upblk2qVdX8Xx+To2FyNUC+n5X1eaBenPD6e+xQc0owY8aM/EUbH374YS5T2u3jofQPPvhgO/zww/O4OK888kxf+Hgp4egGQRC0n03h6HrnsAg2aT26v6aRpZnOWp59rso+l6HX8s3ehrgVGfqe4687EOk7r/NoF6eus2bNyvUYTik6jHb7p5PQg+g6mDp1ai537AHSg+Sdyjwc3SDYOOTrVm4js95kc49Dpcx2rXjgAVvap68t69vP3h820GYMH2TVk8fZi6f82N4cyEunBtjdo3ew6vtusHdPPNjuHfkjmzp0iC3YZ29bPvVlq57buOFVsSyz3TN/I6MCJzdjVdUKW5k7u3NyGpxhHFvWGOqC/V6Rr4EV2brGTxdXk1dQSDi6Dq9MOtvRlYLXo8vtdXRxclNHd0X10jzO6pWZolyVTYxK0mQTo6oid3SB6+aOLvVp2egoF7WN+ula33WdorBbbrklf2uldsDZDec/BlOlrvYLPbqscBkJPk0QBEFQDGtmZzu6gKPLxif3vH4oohxHF3ByP1ndoPeULjcClzU6lTi5nejo6rrV9mRxfRxetrjFFlvYrrvumj+6vOeee9pJJ52U2xstyTkc3SDYeKyuYh1hranON9aq333XHvjZ0fbpdtvlju7r229lH44cZvMuO8uqx99jc3bb2d4dPtiqn7rfqmdNtuq3n7J3jj/AJvftY9UnntDg6HIgtaKBIkcXKqvnZmsZT6vg5MrRhVVZWMMaiqOLkxuObmnC0XV4xdKZji6Kjry55pNdXlCcNK6ufT66FmsyR5Y/pmYCgO4rfRU/Wm+ksjIrewNH97N6fx4oj3K5VvmqS2vg9PP4MrLAceWUVnAPWRWlg9TR5Z7/DIIgCErDWt2Zjq5Al+pU06/paTxP6vB62OhdjZ7JrpvSVGbtWZ3pPj3ZVCaqS1tR2rboO18eug8dJ33HRoB0dxHh6AbBxqNizYpsfVlj1SsX27I3JtmM/fezicOG2q2797b79xtsE4/Y1+7bcaCNGdbflp1zhlWPvc2qH7jJqieNs9dOO8bmn3mBVb80xSrvvM6qJz9rS9983aqXLbaqiqU5nBg3UNlgxzfZ56wBfM/q4cHOr8LxZf1LwvLwwBOOrkPKB1DA0FmOLoqNe1yrLOA+6D4GgRSez0fXInV0VdZnNE6YJryT23GO7qYidXQFMkzvBUEQBM1Bz2wMR1e6D7hmjabslvLmJzot4Z3cqszQa+bktsHwUx26AkX1E+HoBsHGpDKzsTPnM3N0P544wV4YMtieGzTQHth/iFU/nDmvL4235w8bbY/tODR3dqsfuNGqZ062N884zm7aZaDdOXhHW3XRFVb98lNW/dDt9puD97cpDz+Q5ZvZp5UrszUscXSb7PJGe907sfl61mDns/aFo9s6vYoW2M0Vr2zlcMrR5fc2RfFagnieovu82Vn3KY8TTZxb7uu74vh8fB7+fqkwTnFT/Cmv0raX4jLbTlHenqI0wN8bffDBBxvER4bpvSAIgqA5+pcBHF1+J1oUR+ttUVhLSJ9xjU7jGtB1adzPQ2Ula/6azNEtDm8Nr1M2JkV1gVJxFi1alDu6/l4QBB1NYh8vX2pVq1Za1cMT7MFDfmaTnnk8u8/TmEvt/emT7Yaf/cwmXHihVc2ZYfddfIE90meUTRi8hz146q+s6vkXbM4Vf7S/7TXSHhq8jT2180CbOm1KljbLb4PyErJ1rRlVrKUZ6X3RlF8A4eg6vDKRIu4MR9eHe0dX3xW3KNyHpSheMW7SFFKUZuOStoe2C3+/KG3q6JaKFwRBEGwI62xHO7qKT97SqaDvOL08pqsNXvDxxKrVpckfW87LanBym8pvh8Gn+m4KWquLD9OJrr8XBEFHI/uY+Zd9rsmcS/g4c27nLbPKZQuydSZzfquWZWQO68yZVrVoUXZdYR88/aRN2ukgm/3jk63qvWnZvSy/D962F39znI0dup1VXX+JVVatsDW5o5yWl+Cd2HxdC0e3LYSj6/DKRAp2Yzm6ui5C6f13H+7vl2bDE93mFKXp2nhZ8rsmHl3W9zQ8CIIgKA06pLNPdPn093Bw2aQEf9LbdsgfHUgdm5etOhfpSB/Px+1q0EYvOxxd3ujs6x4EQQcjx3FNtlZA472K7BMqEwjP3xnQeL30tamZk/thlgZntsFhXflphc147oWGuBXcz9avRpoc2NYc3dZoLD9oIBxdBwpF11Kgne3oCpSYV2Q+vuKoTsTTtUd5FEN4SxSl2bSo3UVINoJHufgbIq6VNo0TBEEQFMO62VmOLmnIX7oKp5bvhHXEer1mdUJjnipXZetaKE4ad2ND2UXt8nXy93F0+Wsify8Igg6myInMKOXoAo7uqqpsPck+q9ZkrCRN5tDy4in/k4oly7L7q3JWVTUQjm7nEI6uwysbKeSN4ehSjh7ZUphXbEVp2w55tERRmu4D/7+rv2TQ7746Rm5BEAQ9H3ROZzq6fKLjeFQZfcoprsJirW4b6DteGFYUFgRBx6C/70z5LA7rFvDOm9WZc7s6C6+w1fn3hjgNP61osOdXVK3M+TS7Xsi612R7K04JipzZlmgsO2igl5RM0LBzqmv9Xuill17KHV12UIvitQTxPKXC+VuBhQsX5qeSvD0Yh43y+OwwlnzaMkVpujAYSsgLg4yTXB5bRo7IldMCL18v8yAIgmBDePsxG7s4uqypRXHau6YqDWXg4LJuo/O41nreXhp0wpJGmusJ6dNSEO4pirOxoU3of0DHCeSFgzt37tz8fRTUN5VzEAQdB05qEZ/FYV0D/imlwtZkrK5cZRXZ59JVS/I4DfEbfiK4vHJFzqfZPVid3YPmPyMsYE2WR1vIywxEOLoOr8A7wtFtDRkNoF1uDACUWdA2JE8+9XcVkq3kHQRBEBRTjqP7eWAtpgz9T3opB09OHbpQG5la5z/66KMcnL3NCdqOTJATmwPYC8gy9FsQdB6lHdygOxGOrsMrjY3h6KaQb9A+Ssmz6H4QBMHmBo6R9Jo2A9PwznR0gyAIuhPh6PYMwtF1eMdoYzm6yotPDA1vjATFSE4e5OdlqesgCILgs3Wx1NrIOhqObhAEQdCTCEe3BHKqNuaJbhAEQRBsCjrb0fWONviNSpHGgaK8giAIgqAcehUpls0VKVqvdFH8++yzj/G7oTReEARBEHRlpM9A/yYgdF9xJ0+enOs7fhPq8wiCIAiC7kg4uo2g9HlJBp/+Pie6e++9dzi6QRAEQbdETi5vpE91nOe1116zvfbaq0s4unLCBfXenCmSURAEQdAy4ei2Aor/oIMOCkc3CIIg6HF4fcaJ7v777x8nukEQBEGPIBxdBwqf3+LyH3WzZs2yOXPm2Pjx423PPffM//rAx/PpgiAIgqC7wAkhOo3f4vL3NQsWLMh56qmnbI899mhydNF1oe+CIAiC7ko4ug4c21NOOSV/VHm//fazfffd13bbbTcbOXJk/t91RWmCIAiCoCuDs+off+U7G7pnnnlm/ptcXkCFzhs6dKjtuuuu+c94FK8jUflBEARBsDHoVaSMNlf4E3se3Xr++eftxRdftIkTJ9ozzzxjTz75ZG4kFKUJgiAIgq6OdBifK1asyJG+e/bZZ/PT3CeeeMLGjh2bx+kM0joFQRAEQWcSjq6DU9ui+0EQBEHQU8DJLboPOKT8tV7qpHYEReUFQRAEQWcRjm4jKGGUe1FYEARBEHRnvKPJtZxd9B6PKuu/4xXeGaj8IAiCINgYhKPbyOdVwqHEgyAIgq6Idza9M6tP7hV972hUnyAIgiDYGPQqUkZB2+kswyAIgiAIOgr9X7wH/eXh/3bTex1BWm4QBEEQdCbh6HYQocSDIAiC7gQvYITUIe0siupQRFviBkEQBEEpwtHtIEIxB0EQBN0JTm476vSW/NLvouhe0HF4uQdB0LUpmsNB5xGObhAEQRD0cMoxsFKDTBTFFW2JG3QOaR8EQdB1KZrDQecRjm4QBEEQBM2MsLYYZsTRm5uLwoMgCIJNg57caS9FeXYnenllFgRBEARB0BYwhoruBxuH1DANgqDrUjSHO5OiOrSFojy7E+HoBkEQBEHQbnqCMRQEQRD0PMLRDYIgCIKg3eDorlixoomOPglQfkEQBEHb8GtzeyjKsyWK1vBNSTi6QRAEQRC0G4wbGURF4UEQBMGmwTuh7aEoz5b4PGk7g3B0gyAIgiBoN13FoAmCIAgCTy/veQftg51s3jjpj/jT4/558+YFQRAEBXz00Uc9lvnz59snn3xiS5cubaYTehLSd7Tx008/tYULF+bt9nIo6vcgCIKgc/HrcHsoyrMlFixYkOu8xYsXN9MPm4pwdDsAOhEF7zsTx5fPhx9+2PbYYw/bd999bb/99rO99trL9txzTxs9enR+TRifQRAEmwt77713SVgbexo777yzHXLIIfbSSy816YieyJgxY3KdduCBBza1Hd0HXh5BEASbK1oTi8BP6GiKymkLRXm2BG1E302ePDnXC+Ho9kBwcrV7/9RTT+XG24QJE+yFF16w559/3p555hl79tln80/u81kEcYIgCILuDet879697bHHHttAX/Qk7rjjjlzfoffQd7Qbnn766SAIgmAToHW4vRTl2RKPPvqo9e/fP9cBRXpiYxOObgehU930Pgr/gAMOyI/x07AgCIKg58OjvCNGjLAnn3yyMLyn8MQTT9iJJ57Y9ESTPoMgCIJi8B+KYP3sCPBNPg9FebYEjy7vsssu9uKLLxa2d2MTjm4HwoBgcPp7OLoHH3ywzZkzpymMgaC4um7vgAqCIOhuSJEX4dfPngIbnYMHD+7xJ7rou2OPPbbZPfr78+q2onESBEHQnfDrYk8GfTdq1Kiuc6Jb1BlBxzF27Nj8N7n8oNvf98o7FHoQBMFn+DWxJ/Dxxx/nT/bcfvvthe3t7tBGPnlkjY1dXkLiwxQeBEEQ9GzQdzvttFP+GHNR+MYmHN1OhqP78847zxYtWlQYLiMgDIEgCIKeCev/2WefnTuCReE9BV62deWVVzbTZ+zuez1XLj7fIAiCoHvAo8snnXSSvfrqq4XhG5twdDuYJUuWbPCd3Y1ly5Y1uy9K3Q+CIAh6DnPnzi254dmdwSlFj6Hr+GshObZFp7ptwZcRBEEQdA/Qc9OnT2+mAzYl4eh2AF4pl6OgFYdPDAQ+0+s0TRAEQdAz6KlrfNHGbVcxdoIgCILNj3B0O4C2GC0tObIKa0t+QRAEQbCp8frL67D0KacgCIIg2Fj0SpVTEARBEARBuXCSW4TC0vhBEARBsDEIRzcIgiAIgnaTOrhCYWn8IAiCINgYhKMbBEEQBEG7SR3clKI0QRAEQdDZhKMbBEEQBEG7KXJuPUVpgiAIgqCzCUc3CIIgCIJ2U+TceorSBEEQBEFn06tIKQVBEARBEJTD0qVLW6QoTRAEQRB0NuHoBkHQ4YRxGwSbD6ljm1KUJgh6OjH2g2DTE45uEASfm48++sg+/PBDW7RoUf7dK3juvf/++3kc/lMzlH8QBEHQXZkzZ47NmjWr6funn37adI2+mzFjhs2bNy90XRB0AcLRDYLgc/Pkk0/aXnvtZQ8++GCz+zi4Z511lh111FE2derUZmFBEARB0N0YP3687bPPPvbQQw81uy9997Of/czefffdZmFBEGwawtENguBzw2nuqFGjbODAgbZw4cL8HrvZRxxxhPXp08fuueeeDdIEQRAEQXeDTduddtop120LFizIdR1PK0nf3X///YXpgiDY+PRiggZBEHxeHnjgAdtyyy3t6quvzr+ffPLJ9qUvfcmuvfbapjiLFy9uenw5CIIgCLoj6Lsf/vCHdvnll+ffTzzxRPviF7/YpP+CIOgahKMbBEGHgAN7+OGH23bbbWfHH398bgRccMEFTY6tPvntEo86T5gwoWk3PAiCIAi6A9qw5Sc52267rZ1yyin2ne98x/70pz81i8Mn76YIfRcEm45wdIMg+NzIiX3sscfse9/7nn3lK1+xc845J7/HyzkU77bbbst/2zRgwADbd9997b333msKC4IgCIKuDj/P4fPRRx/N9d1Xv/rVfFM3jXfXXXfZ7rvvHvouCDYh4egGQdBhXHnllfnONqe5zz777AbhL7/8cv4ij7Fjx9qQIUPs7bff3iBOEARBEHR1rrrqqtzJ/cEPftBM3+k097XXXrOnnnqqSd+9+eabTXGCINg4hKMbBEGb0QmuB6WPk3v00Udb//79bY899mja+QZOdj/55JP8GuU/cuTI/C2VCg+CIAiCrkaq7/j+l7/8Jd/QPeGEE2z48OH5k0ppXDm80nfTp09vCguCYOPQi0kZBEHwebjiiivsW9/6lv32t7/N/1Pwj3/8o/3v//5vvpOtODi6hHE9btw4Gzp0aP72SoUHQRAEQVcDhxX9pe88uSR9x/cLL7zQvvCFLzTTd6Df8qLvRowYkT+67MODIOh8wtENguBzMWbMmPwk9yc/+Un+N0PcmzJlSn6qu9tuuzXFw8n1in/w4MH5o8sKD4IgCIKuDH+Vh5PLf+XOnz8/v8cjyvwOl6eYfFy/scupL/+t68ODIOh8wtENgqDd3Hnnnfnvk4477jibOXNmfk8737/+9a/ta1/7Wv73Qnz3ji6/0+U3S++8807+PQiCIAi6ItJp0nfHHnuszZo1K7/Hz3P4/M1vfmNbbLGFXXPNNU3pRDi6QbDpCEc3CIJ2gePKy6WeeeYZmzNnTtM9hXO6i4KfPHly/l1OLpBm2LBhofiDIAiCLg9/EzRp0qRcp82dOze/JycX3YYO5Le4nO5KD+qTvxdC38VPdYJg4xOObhAE7cI7teWCsUC622+/PVf8L774os2ePbtZHO8QB0EQBEF3Af2mE2D+N/fjjz+2++67L3+C6bnnnmvSm4qDvgudFwSdRy9NsiAIgs7m3nvvtYMPPjh/AyWPefGbpmOOOSY/2SUcIyBNEwRBEATdjYceesgOO+yw3Mn99re/3aTv+Jsh/oEg9F0QdD7h6AZB0Omg1HnMi5dU8WbKxx9/3CZMmJAbAk8//XT+mDPx2P1mFzxNHwRBEATdAekwXrbIo86Cd1NwqstTTGmaIAg6h3B0gyDYKODoFt2H2NkOgiAIegLSZ9J5bPT6cCBOSzoxCIKOIRzdIAiCIAiCINiIFDnAQRB0LOHoBkEQBEEQBEEQBD2KXjw+EQRBEARBEARBEAQ9hXB0gyAIgiAIgiAIgh5FOLpBEARBEARBEARBjyIc3SAIgiAIgiAIgqBHEY5uEARBEARBEARB0KPoxevNgyAIgiAIgiAIgqCnEI5uEARBEARBEARB0KMIRzcIgiAIgiAIgiDoUYSjGwRBEARBEARBEPQowtENgiAIgiAIgiAIehS9Fi1aZEEQBEEQBEEQBEHQUwhHNwiCIAiCIAiCIOhRhKMbBEEQBEEQBEEQ9CjC0Q2CIAiCIAiCIAh6FOHoBkEQBEEQBEEQBD2KXgsXLrQgCIIgCIIgCIIg6CmEoxsEQRAEQRAEQRD0KMLRDYIgCIIgCIIgCHoU4egGQRAEQRAEQRAEPYpwdIMgCIIgCIIgCIIeRa8FCxZYEARBEARBEARBEPQUwtENgiAIgiAIgiAIehTh6AZBEARBEARBEAQ9inB0gyAIgiAIgiAIgh5FOLpBEARBEARBEARBj6LXxx9/bEEQBEEQBEEQBEHQUwhHNwiCIAiCIAiCIOhRhKMbBEEQBEEQBEEQ9CjC0Q2CIAiCIAiCIAh6FL3mz59vQRB0XebNm5dTFBaUJmTWQJEcQjYNfPTRR4X3ewqxdgQpHTEeNK5ifJVHyCgINh09xtFlIcFo8Ytvurjwfc6cORvc726obbRl9uzZG9xPSdP678FncisK29j4eqhvu1L9ugPIirmh9aAozuZEOn7S75sjjI0PPvigRzi6Rf2p77SvJ7QxaBsaEy2NjfaS5v1589tckJwks5iXmwZkX+QHqF/ag88n6Hp0SUe3aCC1B5+fz19GsL/XHaDeoO+0IW1nEWm8zQ3JQddpOPLZ1OOB8nFsfT38JkZQPupv3+9BOD0pWkt7wjjx9S/a/NT3YPNA/e77vqPGAfn4dSTWlPbh5dZRfRO0TCpnvncEPs+g69EjH11G0Rft2HhigG5efPjhh4X3U+dyU0D5RWORMcypU4zTz0fM9aAleqqhHg7I5glrXam+L6UH20KspR1HzNHOp6Xx6v0EPttLmm/QtehSju6MGTPstddes6effrrNjB8/PufNN99slqcG4euvv25PPvmkTZo0qVlYKSejq+EXxFdffdUeffTRnKeeeirniSeesMcee6wkyIg4L7/88ma7uM6aNSuXxZgxY+yCCy6wSy+91KZOnVoYd2PDgsv4vPbaa+3yyy+366+/3t5+++3CuBuD7rp4F9Wbe921PR3F/fffn48p4LoozubEzTff3OPk8Morr9h9992Xt+3ss8+2cePG5ffDmN48mT59uj377LO5vjv//PPtoosusjfeeKMwbtD5vPfee7kNduutt9rVV1+df+qpkqBzkZwZ/3fddVduY2H/PfLII/l92QjtxZcVdD16FXXapuKFF16wfv362b//+7/bF77wBfviF79oX/nKV+xLX/pSzr/+67/af/zHf+QQ5z//8z/tv//7v+1///d/7Rvf+Eb+OWrUqA3yZXAPHTrUevXqlef/3HPPNYWxwylnt7uA4jryyCNthx12sK9+9au5jPr3728//vGP7fDDD8/DjjnmGPvpT39qRx11lA0fPty+/OUv5/LaZpttcqdXeantGEW//vWvm4X1NFD8Z5xxhm299db2j//4j/mY8WOhM+HkmE/G24033mhnnnmmvfjii03hKEGM0x133DGv2ze/+U176aWXmsI3JowJURTeFVFd+XznnXfsd7/7XW5IdKc2dBaPP/64HXjggbbFFlvkayDrQlG8no7m4MUXX5zrEnTB3LlzN4jXXbnmmmvsJz/5iW233Xa5Xrzuuuvy+6w5adygY+mK6wzjHX03ZMgQ+5d/+Zdcp3SUvmMT9txzz83X2KLwYEPeffddO/XUU/P5+Q//8A/5Z09af7oyyBkeeOABO+SQQ+zb3/52rgt/8Ytf5OHM389DWl7Qtegyji6D5f333893vDip/MMf/pAvzDi0//RP/5Q7dexWAzsyDFjiXnHFFbbvvvs2GXE/+MEPbOLEiXmeWkSOP/74PB/453/+ZzvppJOaytSjq6pHV8bXk7ahtNgAYNE8/fTTc/nNnDnTpk2blhs3fPIdR/+WW27Jnf3/+7//s4ceemiDPNkgQH44xT3dMOLkg/HyrW99a6M5uoIT9S233DKX9QEHHNB0X2OVPiT8hz/8Yb7xw71NNT4pF1ltKoc7RU97yGHxUFfJECcX+bJu4OSlcXs6frxwrfn8l7/8pZly35yQTB5++OHcCWTuo0e4VzSeuiP6mQP6MBzdzoM1mpMgPovCuwIa7+h/nnL7zne+Y9/97nfzE940bnvAhmIt+frXv96kp4LS+DmIfYvdNmjQoGZxgs6FPpCNwCYN/sAJJ5yQf2e+fB58OUHXo0s4ukWDBWcMY0Snt6NHj24WnsJuNvE4pUtPJXlsB2eQXU0WZ5xoH97V8bLx10xaTmr/3//7f3kbdV+kMuXRWE6AZeCBJj4niZxy4AwrrCez7bbb5spfmyKdjeQ8ZcqUfNOGU1uNad9PLMY4ud/73veaxrHSbmww5Dj9+/Of/1wYvrFhjv/sZz8rDPPccMMNuSHBesBmWFGcngzjCRg3gvvIhfWPjb80zebA2LFj8znPWtdRBn9XhNP7cHQ7jwkTJth+++2Xb1ryvavKV3qFzz59+tj3v//9DnNKcRCwp9BT4ei2DcYNJ4qctG8q3b65IZ2o76yN2Acnnnhis/C2orTKN+iadKlHlz333ntvfuqGE4eze9BBBzVTKEWDi0cSeOT5jjvuyL9rEeGxUB7pHTlypB122GG5s+HTtZeNPcBTw5UdfE5oOaXmN6e+PorDp5fb/vvvn+9mpfFwgv/4xz/mv3PuSRNXbVE7Qc4kyobfbPu47Wl7W9NhGLDQTp48uemeniygbjjhPJkgA6KUIdVamW1tSxqfOu222275uPD320Nb61LEWWedlT+amd4vyhv58tSH7/eeQDlyJI7i+SdWkAmO7nHHHdcsfil82u4Oj1russsu+San5pPkJNI0HU17x2K5dVO70JWpo9sT5kFLcigV1hH9Sh5efrfffntuS/CESRrPfy8H8u2IOrYEdgI6hRNdr+/KhfqldeQpMX4CgJ22KceW6lVUx1KUG6+zYKOEpxX5uZnX7R1ZL/LqiH5pT518mk0t61L89a9/zX0LObqah22FtPoMui5d2tHlsRgGIzsv7KCmhheDk4VC9/i9CAqeH5orDml07RcVUc4gJU5RvHLSdiS0V/DdO7reeRXUj0eXdA0XXnihnXLKKU1x2iuTUnh5Kx/KEArz+DYJXwfVvT31SmUG1ANHl9OdIkfXtyGlqA6t1a2lMKE49Cl14/Hl1hxdoF2l8i+nXI9kpEcg+d02MvrTn/6Uf0cu1IXPIhkV1dPXwfdBEcQFtcmn5fdNI0aMyDdqitLoe0tl+DClSdvRUnra11q4r0s5tBRfZak/II3vZd5S3aA1R5f0Pv9S7eWeL5c0rZUtyo3nIX9fr1QGfKc+9KXaACqLMB7ffOaZZ5qlEz6uvqfhwt8jDWWm8RXuZQRFc6Yc0rKLIFz5Fzm6aV1K5ZnGo42Sqb/fVpS+KB/q7cttT1mkIY80bfqduaQ28Z3PtM3C5+nz4b0X/L5bG+bUH5SnJy3fw8sRP8+YKLpfBG3eaqutmjm6RXUtRVpWKXkBcVsK96gORW0p1S8+jfDffdwUwtVPoDS6Lkqj/i8Kay88qYWjO3jw4Gb9r7a1Rkv1FYQXjd0ifLivQ6m03Cuqa9FYVnrCivLaGBSNI15ExRMJenRZ7fFx0za2NFfL7RNRFB50Hr288DclGiji7rvvzp04HqcFDFwfzluU+V0pL/XRPd6gy4uZOPnRPZQJvzPEaYDnn38+390njDLTcjGo2XEjHoYRv3NVGOlxwHnLse7xNjdI8+kMVIY+aZscXR5d9nGBdrNBwEuYdI/fLP7mN7/JlZ/uUX++A3m21BbC2MlGNsjDh/k8gbdog7+PfDlh9/EEeRNOHfx9v2ATh/zIl3x83rQTx17fhdJ7uXFiymNXPLrs46Zt5zEjTrtps7+vfueaNGm6FB8uuVBf7lM/5UX9qRswBtO01J1xTnq+k1bhyII8+ZQMfT31nTbRdxg9kh95+HiMnT322CP/nSsbR7ovfJ1Urg+jfNXBxxW8MApHmnrQ5z7My0MwZnncmxeu+ftFUB9ATuQlWZVC8aEoXLLxdeJEAxkhy1LpSkE+GpOSEbDW0CfIhLx1v6X6I3fS8CiujyeZqxzgbbw4uj//+c+b7iEj0vt5I/nz6duWyohr3++Q9jXOADJi/vi6tAefN2+ep97kjS5I46V15x51wchM5zIQ19ePfmFcIhdfLmvOW2+9lV8jo1QeRXJUGJ9+DAHyp695MZ3XNZDKsiXIV3kffPDB9j//8z+5o8t36lEke+Yguo4nS0qV5euLTJAddUWWup+OgRT1hS9DdULGvm7k5cssqrfyYfOiVNmkY44qL99PtIPv0kPKjzb5dnE/lQtvxeeljpzoprqGuCqPT1935jRjFhRH4dRF1wpDLqRBB9BO7vn82wLtRZ/opzrckzy8XBh/jEXmFeNS94sgT2RPGi8j8tN3whkvtCPV+alcBeklD1838vJ6wstWpHlqfUjne1HZqitpNAYonz72bSoX30/UlTmmsYrtxE/scHQVR21Ny2Fto17USXmWUxfiFI0VyqEeCvdypK30E+uC4ioMiE9/p2uc4rcGY4b+0FrXml5uD7RLfc5YLzWOeV8FdjObvkXhwHijrryjxMtJ/ejxsiY++phxrzXdy5K8qKf6EXkyPogv30QU9WHQdrqEo+s7XeDo4rRymouju88++zQLZxDzlmXeFKx7DCBOdRlkusfvUfX7FE7JeONukeGOAiIvHifp27dvvggRH2eaSfH73/8+f3kAj0bzKDVvyFXadEHoLCQjfbJwyNE955xzmsI0OXi7L+2RgkhlDBgDTPa99947N5B4tJt803jARPzVr35lhx56qB177LF5Ot7uzCOiiqM33nIfRwkHhfsYmKeddlqehjJ4ZITfzBGG/HjcnA0KTpt5PPW8885rZuyrTezEMRb4HRov1SFfyudlXPQRaakf+Smt8HJLHV3CvHzIk/FAfXhTIr8N5VNtbU+fo0Rp91577ZXXn7ZQF7+Iki91YwfeO+GMY96mTdt4BJPHxrhPWvLg95fIFXjJFYutwvlkceYFKrTn5JNPzk/2GTP0Ff2C7Gg/io7H4DlVZlwx//bcc8/87Z2kQ844/uRJX3OPccMjzuTJfV4Qx8tKqGs616jHZZddludHuTiuxx9/fP5Iqe9v6o0C+Nvf/pZv1uCgMe8GDhyY9wNpGYs4bz4N+fAyHsYI8lKeKBDaSzrKpt30RTpOeEybOL/97W/z/r/tttvy+5oTjDfSMx4Ip504jjfddFObFbf6hj6nnZTLhhW/RSZvvjOP6Ps0LXNav1lGftSB3WnSaNykSpIykCNjAGOAT6VnPtN/UszUTekZW8wrfhrChiNjhLWAOUp6+lkGhdpE/mxCql6MScYmmxuEtxcMD/qOPkY25M/axdrBWkYcPze5Zp3hpyvEpa30H3Xi74UUT2CEao1iDGn8IjvWMtIxHhk7MogZ0/QFYw95MLcZR6kB6PuDeuE0UR/6Afg9PE9PeIM+7cNSEE/rV5GjS7j6Bl1HXVk/qS/zgv5nDCuOh/ZdddVVufzoc9Yt5h7rBLJCV6dpUpQvdSQ9awryRZ5sHLOBzJinbxhPlMVfwaX1QafRPsJJ7+cvY5f3CdA/rCvoH+akxgPhjEnGosaDjExkQJ8SRpv82KDOrHnUi/WQdZE1mnish0B/+3EncFRZSygLmfPJmpHmr35mbl1yySV53tgYzEnqjKwZ71p72wJrF7YMji7zlnsaK4CM+dsxxi1yQQ7M9SuvvHKDNiEv5gFyYk1A1l6HKh4vDaX+jG/ay9gmX+aX4niw2RiD9Bv9Stncp78ZE/QPsmPcsaZTL9UtnSOMJ8mcdYE6lJrv5IG+omzSML5Jo77Sm/vbA7JmbNB28kO+6G3kxbtS0GWqO33gZc36iZ7j6QHkh5xZk9A/itMaGldslKCnkS11YBx7mfEeC/oSfbn77rvna5DS80lfav2nb5iX1JU+YSwwVglnrGrt0rxVOcxvZEtfoKOoA+1jo43wzwv14ScFtA/bnb7TWqyx5EkdXdKrvcie/mLcITfmHfOCdauU40x65MQYp43kj3zIAxnRdsVVOaRBb1BXxid14Zp0rLnEU9zg89FlHd177rknXwzk6GLcs2ADA4QBgdEmR0r5pNcsKiw2/FUReQGGtuLBgw8+mDvD5LfTTjvlygRHASMahcaLrHjpEwYfg5CTJf6mR2Wkde8MKCMtD1nI0WWRZlFhgqDQUQYoeuqfGguk1z1OJ3gTKQsV+eBMkIdfCIEFFhmh4LgmHbtmOEgoUfIgHooQgwmFRH44dSxALNbID8XPwsqCyq4mRhILEfHJg4XvzjvvzNPy0hjtZlMf6s0iS1vpR35jSxtZjFBiKEsWVBZs+hvjUbICLzfkopdz+DCgj3m0CEWNMYs8kCfGBjLA8FDctoDhy5jizdaMNZQr933ZyA8HnPr5DRvGIwqIzRbSonQUhmwYsyzOPLJIOC9zI0z9jNwol76gHppLGIqMZRSplC0yxKFHtjzew9hgPqL0cbpwNsgTuWBMo0woE+OVOtDXGJz0Ib+zx7AmPkYnSgAZMoYon3FEf+txbepJXOoBtIsyyZN5x/xkfFEXkOOEDJEDzjwGPD95YHyof6kr8xwHibqSF/VNd/tpN5thxMGw8H3A+KWOGB+sK8wzxgd9ylgl73SulQPONOl52gJFilzYycd4xmFBaRJPc5IxgsHBOKFO2vFnbnGf3+OlhjSfcnRZS5nHjCcMT9rC3GN8sGGhuSyQAU4IhjL1Qe4YKfQbj5OTp58TOJbUgbnPfGbukAd9z1gjneJSNz/+hdrqw0jHX3JgyFBHHBTqTrt4lJS2M2YUn75g44A5g5HCHEK+GGPMcT2Wr/iUSZ44tzhTtItxhzHCGkO7aA+yRTfxUjm+y8jjmnFNv5GWcaK8PYxp6oqxR5+zxrERQ5u4T301bmmDZNESftylji7pJRfWWsYwZdP3rAWUT58ytxgXzFPkrjxxcolP+3HEyIs5jVxYb7Tp1hrqS+TEGq71gXnI+GKeM05Yu9i8+NrXvpbL0ueBfIkrvYeTwn3ayLyhjtgGhPFCOuYK4WoP4fQL/YOcWacYy7Sfccr6gxzIX5uFpCWMdYe5iO5hHOIcsp6SlnyJJzlzjVyYUziujCvGHf2KHmEMozt93bjGGWHMMZcZq6xbzG8MaH7KxRpGvLaAXNB1RY4u8mH88uJP9B39SrnSC4wHH5+xwRpLXNZY5KjNX7WB+cjay1gjL9kYjG023pEb8fy4plziUx55YrMxZ9GROBDInzrRL5ymI0+lVT7Inr5Ed5IXayhrNI4L85OXP2mdUhrmOrqPOclcoA2MccYVNl86/sqF8Y2eQxeRN/VnXCM3dDdjkzWL8pAt9ZH8kK/WM8YBsmHc4wyx5vvN3XKgPWyqsR5r3CMryQB9jhwYA4Rji/n0jD9sZvoOvYlsWVfR9VoT2XzETsaJ1RxQ/vQbYw+ZstbQd4xj5M6hEvPHl1cOGo+CzQkOobD9WFMZ55RDW7AF6X/iaT1IHV3lx3xDB3LAxVrEnKXOyIf5x9pBHOJ6sEOY6+go1nLGHfHQFZpHkgfQ19QNO5O8qSvlMJd23XXXfP1Djmk7g/bRZR1dBgiKTo4uiptJzoThJBeHjIHKjolPVwR5M8nl6KKgdZ9BufPOO+cTnEHHguLTYuCThkWdxZfFE0XK4rsxB6GXkT5RYFL4LKosYOwSsngwuZCbFjWfF5MsvYcyIB2PZTFB/SRjoSU/wlk0fTriMMFBj/QBZXAiT/0wksjTT3QMdIwklBKLv8oS2siQwU64j6P/BkRJpwsPcuE+/cYCrPtKT3jq6AoWcBZzlKy/L1ggqbc2S6Sc2gLGFUohXWTBO7pFu98s2MgFJywNQ770A3nL0ZXMcUbTx/8VhnFAH6VtoX7kVSQLH5exw5xkbmJkky+n19SFBV4nbcw17jFevbMDKG/GHo6T7tFPusbIpN2lnAcPddtqq61yOVI3H8a4xpikDhicPkww9jBQfL+wISNF6sexQOGzcYMz59O1BvXDKSyqC+MaeXlHgvojY+rChpHu+zpRd8aoHFaFYVAgQxwd1i/FF4w95jmkY482IRceZaeP+Lsy7mMIMo84eeE7hi1rERsX6SYCdac9gCHAPepWJK9UxtTnv/7rv/K06aPKGM7MWQwaf6rOeo3ewNHw8QVzmTGHI8d3XyaGC+snb6Gn3bov2OFnDCEr1jLfBtqGTiHv9JSZecG4ZF1WmAeDB/kVtbMl/HxkfND/GLc+DuOBNZG10d8XbHCRzreXOrDu+zXAt1Uvq9P3lkj7lDaiVzl58f0GtIc1DhmzPvkwQH70T9E6jL5i/WRNYg1Jy2Wco5twsjHedTIvGMuMcxwSr1toNxsr9Ct19yfvCtc1Oo0xqU2qFOY7svZjkzUEGwTHiO8aM0A9evfuncfRvXJBBqmjK3DIaKs2DDw4KNhgspdScMToHxwLf581kHWGT75LLsgOZwGZS6600bcTQ5/6sH7IyfbILvAnZALHi/oUtQWY59gM6F++M9fYsGDTS3F8H+JQk6e+t4QfY/Qt86xo3AI2CeMeZ1Zt1yfODnVCfzGOuae8qRvjjk0SLz9f55Zg7DAmSU86P2eAeiHblupNOGuet6uAOmKToZf00z7VmxNR0vnTUz4ZDzjXjGv0BvfKbYuH9Z/8sQ3Suc7mAGFsSvr7qaMr0PP0HWu0NvQFcsEe0kaALwv7qWi8ApsrhHMtmeO3MAaKNglpj/RWui4G7aPLOrrs+GA4MuhQaCh/Pc6HoYpCYEHknk/nUb6A8meRQ7mwcKs8dsxQAEwGlKd31oCdOJQiyg3lqQUmnVCdjdqhaz5RYHJ0cYCoO5MT4xnDEDkVObpK78GgQcbIW8YB8fhEGbKx4E9tfB46wZCxSxomKIse92UUe9hAoO4YGzLIQQsBCxFpvQNAvoRTNos1O67eEcaAUb3YFWWMUIYMB4E8ihxdrskT4zZ16L3TxeJM+nSslIsWWRbhNIxyyBtF708TJRcWP5RVkbGKfFCERY4uxirjvOgxQxSgDDI/VthNpw/YcdQ93+9A/sgNObM461FfSOXDmKA/2a1MDS5OT+gPvQmbe+St8siXupRqt9oJyKqUowucOOA0YchQJ9LSbsrik51mORnKm11W1gHvIKpukhmGH/MHA1FxSqG09DHtZsylihVw8P38oXzWIhwt31egPNlhR4nqlF7hkqEUMvElN33itBGH/JWfwIEmjP7zaTBSFBcjgHVWO+iKI+RsywkjPC1HKC3t1GakDFzC1H7mKsaUd7iQJaeuzIfUkRGkZ/1hoyE1Klk/cZwZJ8iTe76enMYxh+k3NnB8WsYUay9jIXVMMHC4L2Pbo/TMERlU3tFqCd/P6DrGiHd0aStOKTLx662HsnjShtMmTiq5x/hkTnLK6dcjwVxq7dFlP84E9WUNRx+jC7hHHUFt4XSVdYX6aD1THzB3GWfeqVEYcx5dhs7SGPGgJ8jTb+L5vmUTjn73m26CtYk6e1tBZSgPNjBYa3EI0s0egTwIx8aRXFlnsXXov7Tfic+cSjfiy6GUo8sYRw70A04f97wcaAd6g83zonFIPdFF6Fq+K61Ob3XSK5A7Y5Dxn+onwX3ypO/8eqgxwfxhHfBP8gHtQt/TlpY2iJABT+wQh3HCph9jO9VHwNgqsl2K0BjAHsHuoZx03VFbkQ9twOH345Nw2sW49muZn9vYWH79hKIxXkTq6KayZ3PGy5ZyfRzsP8LlmKq/ice1nuxS3wpseZ7a0DwX1IEDKNYqbze0BewG1nDGVLrhAmxYshZrPVOdsaOQszZjZN+xScnGG3ZGOr/ZCGTNp53kI9kQzjzB3mjNvgIcfDaQ6H/NuxQ2DRhDpdaPoG30osM2NQwY8PdYJNn9YwAzIDlJ8eF6DA9jwN9XXinafcQY59ELxWexZweNvFCO7NJyn8ELOLoMStIymPlvUe7zBjZQPp2N2qFrPlEccnR1KuphQeURDAwvf59dQ9rBtfLC0KN9LDpMdsVF2aAk2R1nMWKBo1zyAOJq8eXxKmRDOvLXiS5/WaSyJDP6F6OLXU3yUXkCg5Y8WfD5rvaTP+1hsUVJo1gIV38pHvcwhsiDhcv3FYsaCk6Oru6ze0v8dKyB8uSTxRkjidME7pGfj1uE0oMWWeSVhiNbObqMTYWr/uwAkvboo49uCvNxhg0bltcN5cI95ctmBW1jLGNs8KgPp6iqu/rN11O75yzSukcZPg4wRhgfyJRFnHs+Dmm8/AVzDScBRwIHjnZjVLMjnMb1J7p8J3+VwafPn7Z4R1f3BfGREwYrCpB7kgMGhE5zlT91YyzjEGH8cU/j0MtDMkZufG8JlUcenByRDvnhYGLMoVTVJsaE0inuRRdd1JSPxr3i0x/MZdZODGOlxQEnLSdlqrPqoe/EZ4zg5DHXdR+QC2uNxq0PA/oeGREHubI2aJ0A2oGxQx1oY1EeHrWHjSrmKnVCLgqn3b7fPTLaaKuXn4f0zGU2TKUTlB9ywNhmUyudI8BawTzTeCQOfUl7uOY+cuDxYcK5j3GNcUO+Y8aMaUqnPAXrLHpKa2OpNnp83XBAKEMbuoDcWS9ZV5hz3CNf6kVapUefIjd+V8h36sfGCPdwJLhm7FF/rdu+7FL4flZ7cKDQN+pTyUL14hr9RdmSs2BtR75elytfxiH6gfFfJF/6ibGEbtIa6+NhrLKe6X9OfX3Qk6wbcqiUBpQHTxJQZ2wOhZGHh3tsnhGPvzrhO2sVzi/36CeMbZwtDHjCyR9ZK325MP7l6LKxr/voAMpivGDUM1+RDRtHXONEMJ9Zk/06Qh2oC+mYOxrLHo0J8mOcMOboZzas6BfGOOGSmdr06KOP5nVCDsjc9wvI0dU7JYTsBU7O/H1BPpSh8YQe5R7x+Y5s2Bgkn+eeey4PQ27ljG0Pfc+45KRQbVIeGkPIizIZ/35tkq2FfHiMH5mhbwCnmX7RZiW6RulSGZUCe1COruShMOp2ZqMjm9rUQuHaBFV7BE+MEU45/j7leFnQDnQLaxJzAHsm1cPlQF6ypZjvRbre4+vrHV2+k5f6iTqoHuoDxj8bUayr1Fk2Mu2iDzUuWTf4yRf6AbuYtip/la81lg1j5h1xKEPzjjgDBgzIHXjmIN+Dz0eXdXQxLlFEDEYWU00uwaLArusvf/nL/LvyKAUKmlMOFKsMAA1sTtZYnDDwMKhVBrDzTjkYNeyo+jDBYKeMorCOQu3QNZ9MMDm6LNA+Lp9MToxTv5gCE80bQcAigcPPIuvjsyiTv5Q7kxPjkB06fuvHpAfCVAfkykKBYYVxJGOC+1rwcHQJZ0KrLA+nGiwGfPJd7RcYgRgrLJaE+8VU8Ls68qDvqY/kQj2KHF0pvdSoAuVNPto0Ydyk8UqhsgEly1ikfmk4sk8dXZ+WBZqyS9WxlKPLAooDxhhnPtFOjXnGgxZYj07wfB9oznAtmWBYMq8wPtkYUnqP0gFxmLeMGQwP5MBjQWxsYVRhaBCPMlR/nHLqwjrgyxaKB5TVkqMLKCbaz9jQpg9giMmok7LDsCcuyhTFR9kq39dFjyuSh8L4LMKnYy1j8wElSRvVN5w8aHwDfcS4YOywLuk+kJ9kjDHOvGIu47grDo4uaXGWvfz8NfMBo4+0rMG6D4wHxg7Gt+5RrtrJppNOYyhfawN9jEw4OeE7p6DUy6ctQmGMeerDfNWmmQ8vygMjHDmy+66576HNyAvjljoz/nx6nGucTeYic1LpFI6TwDzj9IPvfl7widGH7qLuSkPdGeOsW5xWUod0wxGk+1ijqIfut4SfX7Qdefk1Xk4Njgtl+vJ8/7MWMPZY31U35gN9x3qt8UkfUz9tuIDPswhfR+IyRniCRuOMcF8XYEOP/qEf/RpFfainH4uC9YVNa3QWaVQvfdIuymWcs8nGPcpVOE4GfY8+1KaAYH7QdtbZ1NFXeuYXY4OTJN9mD2OSecEYwSnSfRwZ5EL5tJt+pB20h58qqIy2wPgtcnRxpKkn6wybwdQXuM86y2YHuh69yMkSaXBcaRMwxukDTnSVp8AxY40iPX13fOZQMLY4CWcNkmOT9rdOHYmneevjnNnobOFQ+nSMedpCO/x9oTwYT9SZPiJvxjZ6i3nJfeBUnXUWRyXNpzXoU+rBZqDKTMeATnTRf9oc4z51YVyiB3CCZWfxybqJA8U1ssHpKpV/KVpydEHOmuwS6uXlz+YC4doIln4knDpgFxHOiS73BeFsams8sObyBA5rJ7qAMc7JOXEpL7VXW4J+pM+QO06j7pMP9VMdU1iXGYey4egHPtUXbC4xD9jsos7oB75TV/pBa6Nkz++7aRP2C/2PHIjLuGLM+npguxFOXNnT6lvsAORIe4444oj8xFfpgvbTZR1djCaMcDm6LGSKwyeDGuWtnUHlUYqWHF0MTQxjBh8DE8XDjhkDFyeXActAZzATP4WJTBlFYZ50QSp3gQK1Q9d8siAUObqCyZhOFMrkxBJl7u+XcnQxBHgUB7mVY3Spbkxs0iFP7zho0aR/MfhSR1fp9Th0eqKrcNJxyobD7MO5FowZZMPCQbsVznWRo6vTMp1m+Pi+r8gXhaGXXZWDrxvGIWOxJUeX+nmjRLBAU3Z66kz9WKw5MaINqbIRGNu8gAfDAwXP+CF+0QmxHF3i6x67jnIe1Zc4powPnBkZf0XQ/zj5nJKhQHwdMU4xuFj8/Um25KLf4bD4811lky510pFFkaPr+wDnHMOPNUZjAGXLCaDiqM81FnF0MeC4R15C8eRMIAd2rFXHFKXz4fQdjijzmPGHfBgj9I9OfJAfY4Mx7R0o8uJT9aAP9PtH7xDzSCZrKYar4vp0QF/SB/SnjFHBeECJY2T5+4L1AUMNwxxHrihOW1C7MDiZ6/SpHxstgYFIXzBXkZtkLhQPvYCOSTet5OgyD5Xeh/O7PvKXo5uGa+3x/cSTCuSJIYvTwj3J3o8FxgFPu1C24rWG70PKZh2/+uqrm+6d2eggcNKfzhdfd51IsYnp46FLGD84KzhDrL/kx3gq1yHwdaS95EE79VSOj0M4MBcoA6dKxiXg6DK+i8Yi+ly6zLdB7WSuMU7ZhJVOI0x9wIku/cR6xKaR0gNrBTYB89OvdTiCMpa1eYKcGDuK46GdtIGxh3PGuq/6cVLM3KPPMK5Zd4jHWuU3esqFvIscXcYJfUg9ffwi/PhU3zB36BtOYX1cbDLkw2Y0G1p6Sg5Yv+m39EBBoBPIk/Qq05ctZ4ufsOke4CRwv9TTNOSBHDQ30J/qL/pRay+yQN6sf/Sh1t5yoP9GjBiRzx90O9/pZ/WrkKPL+Pdtw7libcBu8nOiFOQrisJTWJORrRxdPx9BsvV2DXmrjnpiSZsJPj3XetFjeqKLrYnjjlwZD96Opj+okxxdyio1Z4pgHFAm673mOnlAS3JhXfbrvsqkHdj92K3MYz/fOPRhEwSnNF1DBXOBJ+DY6GBMss5QP9ktoA0i2u7TBp1Hl3B0i9CjywysdFD4xUH4SV9EkaMrUNTsdLPYsavFAGURYuKibNKF3KP8uebRHB5V0yNNWggUzkJLHIx2Ke1yJ7Uvx+cnR7fo0WWh+IChyG60drIFDgG7xihx8tV9FDsOA3JjkaLePj+htvJJOPFIg4EqY4J81V6MCRZ0dieVhwfnigWiJUeX9PSZT+fhBQTk4R8RBhRckaN7fOb8EZ8FLu0XlUv7cCKIx4urfJyWUHoo50SX+ukxYI+cLhZjf18Kgr4l3CsbwlAk6UYNZbGDjuJDwfrTDT45dSUvb6zTlyhCb3TyeA3pMY51AkJ7yEdwj58bYGRgQKYnrbQVRwZjDGeL9F6ZMPaoC4av8iMcReWNUdIhh1KOruQMOCnkqdMBjBx/QqQxzfpA+zCeUxn6POkT8tNpgcKVTxE46qwHfs4BxiHrFJtBbF7oEShkTBmaF8K3C0Nfzqo/EWaukBZHFxn6NLpmPuB8cGqVPpqp9sn4830LpOUkhLT+EWMgfz9mVL7wcX0cPll/MfLRB749RSgv5haGKnPZ19FDv2CY0qZ0LuNgMlaRI+MszYP4pEtPliif8Ye+YlPAG8o4Q6w55Ks1UWPDy4AxyPqALOlL3W8JP8YoG73p9RzX6AnmhZwd6kk6XzZy0xjhO2OAcZP2ERs+ONL0CRtmGp+lZJ1CPBwh5hUGpO6nc0UbFjpFEnJ0/dokWEtYY3Sim4ZTBqfT9G3RzyQYY9QLmyDduKM/6D/mpH7GAIwDtUM/+cC4RW6p7ASnNsRj04TvjDlOR1MZUoczMzuE/kNH+bByYG0pcnS1kclGMHFUT8oHvqf94ePJ0fW6BmeNclhD0s100pKGeZE+uix4Eok64RgpzMtDzpg2mBTGQQT3me9+nVFdaQdxNd+RJ4clrO1+jGAbMLZ5JB4nhTHqTwpbQ32vJ0RUP98GnHniMIbkbAPrJ/OJ9VMb+H7tURt8XqLUGPPosXBOUTX3fbh+7uHXNJXJtU589TSZT8+1HF2/gc06x1jwhxKCfNlYxuHUeChqWxEaG1rXsAd1qON1qeLx6fNmA7hog5M2ch9nNF072OhjXcU/IEx5Mt6wr/S7ZYGtgCwYy9jVmnuad8wFP+eUzl8j17SfgrbTbRxdjEcfXjQhGDSlaMnRZaeKwa3Hc8rF549jxgKFEmTnCgNW8TRQiUP5iiMnq6gtKSpH13wyoVtydImX5s2pE45aarDjELDbj3FAvn5y4QAwMXXaRZ6qg6C/tCsHLAIYC/ShTmF8XTCEWfxwzHTPI0dXJ9Vqv8rFOWPxSB+vFDg/KHfkzWOvPoxFqsjRxcjAAEJRl/ptBAYdzgeGtx6xLWch8vIqx9HFSfN1UBkYwYxVnTpLpnwic/oQAx8H1qdFEcgoVFyFs7tOm/R7QsEGAWNLv0UGjDEWar9LjwwZ0xgRMgxVhqB9KFjqpt/8+vHAziknvXrUHaXBnFU4BgnjwZ9kEwej3htvKrfI0QXfD/Qf84exwHhEgXvDgrhcIz+UFX3mx3gK7cfwwynXPfLwZaZgCNA3ReONsnE4GI96KoK8KQPnwsfznxjcyIpNJK/0MSZIS56l6kQc0mKEKz8hBa3NAMLTOMdnhjhjxv+GLi2LMeTHVGvzh80TTsmRv3+6IIVxLKNbjiq/c0rHACAXxglrEGuU5rKgX1jP5eimbdBPK2Rwg+KQN2slBr3fOOG+HlvjZFT3gbroWgYl8k7lWwofjzlB3dlA0T2cMv3cw9fJQxzGIv2ndZe5xbjW+Evh6SfWK22K+HYUgYwAWVAW6613lLyc0cfMTWwAGcIK56STNvpxJPQIKAa2jFXSqW44F+g5+r3ohBRHFzkVbcLiBHHayzrrN4KQg/QMJ2eMKxyZorEH6F/qxxhV++kXZFJKhsx5Nrr82lsOyLrI0WWdlS6Tk+DlzzXjik21ok3XIkcXncG49wcTgr7AqUZ/6UQXhwJHUm1GbzH2vaPrkaPLHOG7xj0OMn3KfPUy9/MCfYHMaTPzm75nnVN8yvPxmX9sbqan+kWortgjbMAzPhhnkqGXq5x57DA55QpnHBGmU1Wl9bLAYUUPEFaO7SHYyGZeUDfyS9PqZVLYiLrn5XFm41MhRafm1JFNBsLT8cC9oqcGGJc8qss81lMh6CY9NVUOjCn0PHPS2zwe2sCTHz7fIkeXcYDdwJzUJg39I9ljH7E2Umf6Fj2LTAjT4+Rc+74C2obctR7ryR7WNs070gBy1FjgyT/mq++DoH30kmC7GgwiFNG//du/5QMSw6EoHjAQUvTGOH33ji470T49xgoGOIsrO3H8kByY8Cys5557br4w83ZEpVEZfPKdxxmoJ4utnAbFBSY1cVDa1APlwuNJhPkBXgqV46+ZbBjqKBvqq/BSUH/qxmOqfJeMgMWcBZAJmC7QKDmcEJQlE09pBPFoG29s1T3aRFmkwxHy8cGf6KZhoL/RUbsow4NB4MNTtMN70EEH5YsV99Re6iZHV+0hTz5RMPQjJzZ8p9/4FDhp9B9v+yY/ofSl8OH+0WUfB5C9HF1OD9JwHDLkhlLRPbVLf59Au1n0fTgbK+r3FD1GTj9RT41HjF3qyUaQj4uR6ccsCoRNDQwxjAndF+QJ/B6FurHwc9/nwRzDQOIUi3GK0Y1CUTgnBYzz0aNHN93Dqea3S8TVPfIEObq8JVVh6gPJi089ro58MOi4Tx8oH8XlZA4lx25uOiaAnVtkyDzAAOae7/MU5YvMWQuQdVE4suf0SrJinmIg0c/MIV8XxeEkiTHCCbrCQCe6GG8ode75OlIXTrEw0tm91n2BEUYfaP1Uv/o4vOWSOY+DqXmfxsNQYrORa9qpenvSfDGeGGM4a/S7DwNkzhrv12g91sYJhY8r6G/GN2uF1jyBs8RayBrh66drxit5s14ozMMcQVacDPn7GDnkCfSlDwPebsuaiFOCLLmXyqIIjRdgzUMPobN8HD0VwRhO2wva6MP415pJH1JXrYcpjAnmjuTSWl2pp/qcx1PRu8iyKC5PECBD+jVdw1l/aYvq5dvPJgR6nvno+0514x5hyFhPj3hwdJEDTwT5+5SB3LBLaDOOuMJYj3Fg9F1Pw7DW656H9YQ5jPxUR+YEY9yPYSCcsjndZlz5sHKgzvRhUXvRn+kcUXlc47z7dd3Lk3FG//l2kw/5Mcd1TzCnGJf0DXqEe8iYuau+YQySpx5d9ulBT+Hg6KZhyJzxgs2me76+zHecGI0Z5iL2E7aG4nhYe3nKTWOvJairysK5w27V3GdO+/FJPdF1bNbrnkDPMbZw2GWbkFay4JPNMq2fuqfrlmDNp0xsH/SGlw0HM7KpkLHuE0f56++FmJcKF8TxJ7q6r007xrnuae1hs4H+YJ1lznEPnY89objlwFxizPgnKIC6IztsIfwHv+YxL9Hn9JXusdYxRxifbCYoD4XLfuGT79i7So9eKuWjsPnBBou3RZgnlC/7lbr5+jGnkAX9ontB++lSji479ywC7OpgwHJix4LB4oXxxEAS7JoqnRYCjwYoBhunQBhe5INyYeFGUbKrShwmAsYm4QzkFO6jgIjDrpcUnF+8WNgxmojLZNFEAdWFyc7gZpHDEMeB9OHlQNson4UBA0GODTtmTCgUE2GcaOhRKAxTTlo4LSOuX3TUBpQNji6KSBOOshQPpcAONQqI/DnZRAGgOFF4KAXlxeTEmZE8WDhl/LPAsuByAo3Tj0zZFEAJUh7xqDcnONSVRZ+/JEkdFhZsxsb222+f/0UEygQ5Ui/KY5eQ35KwW6w0fLKYYfBjzNMXOBjcIy0QH8OXetEmFDy7hoABhQJi7Pg+49rLqgiF007kxRjAoKTPkDfhyI2TC8YadWOjRXVTPigBxg59SRh9QDh9wpzRriwOIUpTTiDGM0qduUMbaRdpcRpYuDUmqIfKYwcYow7nh7KIi/MgB4q+RBlzQs04ZI6i3FFghCs/wVhkbmB0kTflUAfqjvLESaQ8NhOQPfNW+dCvhCMbnH3yQ8GlShkjkfxYO+hD8mI8qS7+E1gfqDtOMW3UffKSHBhb1JMTcRxxjE3qgwz5ZMMKGdGvfm3w60OK6kCZtBnZsSNMfhrLtJNHMNNNM2SOYY0cme+qK3OE9ZMxKifHt5V7jCvWAsYHypR0tI08MToZV6mTSz/Tp3psmpMO4jP3i9qI/Fkn2DikTLWJNZF6Y2gqHeX7Ogru6b4+kQf5sk6xZjMnSU89GMNFbcaQoG+Zu7QTSIehQ1sxirmn+EDbuI+sWKMwaLQxQFzWbeSHLJhXzGGtb6yTxKeOGF9spLBpi26jrsTBgaVOyJO8kA2ndMwJ1j3yZO6qPi2NI0Gbmdc4EMiIujFOaYtkzCftZtwwVrW20T/UkbI5cfPGFfVj4w3HDxkyFmgL+bHRwrhn/pdTRyAeUBf9zIKNFwx3ZIAsqBfrDGs4Rj1rHuWSXn1LvTCQOW2W7EnP+sMaxxqJ7qH/mWNKRz+iT1gfCEcPad5TNmNJj58yJ9FjzCvSq416LB4HifvIjvXLb7ghI+YJ/UwdkDNxuc/JLc4GeoYylS/3qRfyYF5zHxuF/iEMY1prWblQJzY4kBW6nXy8g06d0DOsQTglyAd9RBz6FX3CuPR5CsY2eszbOvQF9WSjjfWSfmbOEAdHCdli9KNv6AfGKOUhFzZ25RgRBxlI7yMHdCebHoSzVuFQaV4CeSBT1j/mILKlbOqEk4vuYX1UfPKjj4E1lvGDrKkPfYqTm25UlQsn2tic2vwnX+qBDKSjmVPYZoxvjQFgbWMuIkfWNNpOP6E/yZd5qLjlovzZmKPPmLt8p62sEciFtZkw1g/KZcwSBzmyZkn22IGsM8iLcMYY8sOmItzb52zmsZ4x/tDF3GMu00b6ms13xgrjAL3AukqdiNcWOKGlH1m/WBuou+qNA67NGLUXH4O60lbGJv1DvRifON/In/5i/NJObA3mPes64wj5Mf55ooR8aSObZ7SHsklDWmSz//775w4xfeD7GbuVtZi1Q+s0Y5j+xdahHT5+0H66lKPLooXyx7nhU4oXI4bBioOKEsC5YSFiEGhSsBB4lCeLNROA/NjJZgAxuBikDG7ikBeKB8XH4oOBrEfauOYeThXKjcnBzpEGoMpiUjDBqR+T3tdBEIcJjXHgJ30arzUwAlgEWYiRBfnxySRkEcIJZDdIMsQBQjFgePIdZyrNUye6OKcsELrv28EExjHkRIlFj/aSLyeJioexhRJTnTA4MNaRPZMZGZCeutGvQB7kR3rkQhoWIPqbMD4lL0D2hNMvKFOcIhZIFinyZsxoxxhUNxw16oaBRfmclCEPyk5PTzHWkSHOKP3NNXVFdjKM29p3GMS0h7wwNCmf8YJSYJGjboRTJ+CaMr0DBnxHKSFT8qG9MrRQFowLQEZ6aoCFHQcVWdF+xiFQBgYb5RMvHbfUmXI0nhh7CqMezCeNPf4SAtgZxoghDvmSp/LFUMM4BTZn2Ixgd5NxwfzHuWUMU18MXpUF9NHxmZPGeKBcFAgKRf3A2CM/6kAcZEjdaCfhaduAMjkp4RGmNKwoPvWnbsiNccM6wjXj0ytoybMUyhsZIl/y5XFWZMwn6x3jI3VyBXMAI53xzhihTrQXx4BH8tK4fLLBg7KmbhivyBDDibmDnJCBjBtQGzASGU+MVeYy1/Q3bWetIF7aXtZWjDoMAMmJuvrTO2RA3fgUPkzf/X3GOIYi9aX+yI71Tk4u+am9AqOK8QukJR19ThrF1SfGJPVE9vQr85/8mV+0iflAOGHEYZyxruJAkp45THxkSh9SDuuZdwYA4xZ5MxepE3GZrxjqzAUftxyQEWsh5TKGmF+MB/L0ayFo3hKOYUZc4mHMpbLD8WOd14YxfUkb6U/WHdZJ3z/g+y5F/UM45bKGs1bQF9SF9Ym1DbmTt9IVzSccIfqBNlMn+gMdQJ1pH5tS6CHqiX5j/UfOtFtjh7WK+YNjx+YCfYf9wfgiLWsJfe/LZc3BeaXv0a3UlQ0OwtJ2M3+RGXXAmWDskIb7fq4BMkDX8PQCeVNX2oM8GCM4dsgh7aNSkD9jjL6lTNoNtDs9KUI3EIY80SmkYa1VHYt0HWsH9pDGl9Y/xi9tRna0h/WXdUnOD7IjjHbJUWWOUjZrDOs/6wt9QL+yxmDHse4QB7kAsixy+hg39C+wLjI/ufaHI4Cjq/voItqPvEnDWGJ8+fhtAVlQN+Y/8mTuIAf0M+OMsUV7sOMoEweHdOpfnFvkRN2RE3OQtYJ75fa/R2mY+7QVGVMf5rHWCMmYPmDNYlOENDhkxKfPqDcwR4jPmohOoa9Ip/TUW3Ymax0yIE/GATDXx2R2N+FsKrKZRt+mTzO0BeYgfYjOYU4zzimHNisOc4tymA/0PTqB9utUn/mLjKkr6ZER/cPayjhkDlIG64aeKkAGjHPkxT3yp1zayThCf/o+83YCDjj5AX1BvSgXJ1dxSq2lQfl0GUeXzmQAMCmAxZJPlBPGDZ+6j1LSYJECJL1H+TIIMZBRdBjCfLJLqAWcnRmcWU67GOAodCYoRiHgKLDgEcYkZpeZUyUWSZUBKAIWK+rGNfXyylnXGO/E82Hl4CcKdUcmlMWEQGnRLuC6HENJ5UuBoXBYdNl58xOReP7EA3mSP/FpB9c+HCQH4lAfPpG9yiRM/Yg86FvSaIEvVX+lp3+pK7vf9JHCkYUUp1AaPmmr2ku9kCFlMa7UZz4ddcM5Z6FkzPBd6X3cciEN5cnIQCZ8R96EIQfqTz+qXvQ17VX/q1zCyIfFnTTaQeQ+7VI491WW2qi8VRfl6dE9yqdvyBPSsUHZyJ06cy2Z+s0SxeWTtigOCp80jCnaR5jqTzj3fN0YZ7QHORHOWOG++gS4T11oL/G4Jj+/JnjUBuXFd5WZrjG6Jm/VUW1We0uVUwryo/2SM3kC/ULdVS/h85ccmEfqT/JCHl4mpFE5uqeTDvoOx5hxzvjWOPPjjftqL3BN3ShT+RVBm4jP/AFkhewUTr1UTgphHu5pPCATjTegDMry6Wmf1iVkQblC8iIvwslf15RB3kC+6hO1FRmqXMUhT80zoF8og0/C6EuND1+m+kwgV4WD78NyIT3l+f6iztwnP7WVehHGHOSTuqRzVnInLz41Rmk744Xv6doPpFPaFOSrfsQY5uRODi332IDRhqgfr6TxedIWykfOrM3oeD5pB2EYzNzT+CAN6Rk7tF39Sno+abvmBPLT/GPcMv5VLlAX0lM++XNN3QnTJ3H4JA7yUznE5b5k7eXBJ3Xjk7iMH81x6pCW0RrkQ3rJAKgHMqCtGl98qu2Uz3pAuzWmS5WH883mv07LKI9P4tMPlKu5jwwUTr7UgbrxnX5BHsicNMhdcwN5kQ458p0+JYx6Eo+8KI+1WuPDl884IB1tVHsJB9Ky/nGt8aB+R06Uqzq3B9oI5MvmC+XRDsqjvfQp5YLXq0Jtlg1Cm8gvjVculEF7qIfGNvJBToSrv2g7cqZ87hOfekg+hBNXbfFrDfkSRhzaqD6hjeRNWyiT/lMYciCt+po8ud9WSEe55MVaQL3oc7VbcdS/xOOTcUgbiUOdiEM7qSv2FeG0lTDy4juoLyhDayTtkjw0hltrD+2nPMaIZKf6UqbkFLSfLuXotjYg0g4nvgZnEaXSAelQpOzgslizQ5jGSWHy8DgKu5g8DuTDfBkapB7Ci+63FiaK2tAaWjwlV8lL10x4xWVC4shzsq2ylI7vutdaPVtC+ZUibSPfKQ/StOwwchrA44z+PigflLevb2t1Z8FKy5FyTPEyaQ+l8m0raR3SNqbtb60PREtt82EtxUvrUqTMPUUyaanPVLY+0/TcT+OU037KBKUpBXn5+pUrWyBv6ttS+4B4bckXSKP6k1bpUagyXqCcfNvaPuL7MougXqIoHHwcH69UGspLw/jOfclC93wctU9xfHvbQppvEYrj69MSPk458cuhtfb5urVWZkt5lUqr/uAa3cuTUzrZSSEPYJ4U9W8RxFH+peL7epeTZ0pRu8lHeRU5/y3h0xaFlXOvFKpr0XzUetxS2VpTSc/mvu8/HF0eO/WncKQpko/Hl8e1z7Ot+PK49utbSxSVx70iHeK/l0updEX94CGd0HcfTh3Jo1T+GxO1hbqUaldr9Uz7gfhtbRvxi/rT51NUjv8Ovj1F4UX3yBcIa6lv03FV6p7qSV6+Pj5O0HZ6qVO7KxpoKbxRDnyconQ8coDjitJlx8nHSeGxE57f58fqPOJWFKc9FNWvs+HxNhxFfiPCd3bS+Y0Bj08oDhNR12Jj1xNS+dCvOOU8Wp72A0aG/97ZbIq+6y50NblQH60JrdET+lTtLbfNnxfK6wly62psTJn6PtR1OaT5lMLH5fE/dBCPE/IdfZPqHMYuaTpjDPv6+3oFG8JvO7GTeJRY97CZeDycN8f6uN2B7t7fMV7bTmsy66oyjb7+/HR7R9fDgEiRohRpGk45eCael47w+zN+V8bjsDh+PMLDiSGPMvMbCx5bxtHltxdK31WcwbbCo78oLn5Mz3d+28juOr9X4Xs5bdgU7eTREB4nR8Hyu2l+H8Jfs6gfivojCIIgaB2vJ3VdLmlepeDRPn4yxG/50EEnnXRS/pigwuXUSnfrfkfT3vpvjvAbUfqK34tiM/FzLr2xuCh+EAQdQ6xNn58e5ehCqryKSNPwCA9vbTv++OPzH9VzUsgnp4a8NZHHeXnxAW9R5ASxlDNF3ijnzlbQHQHOPKe67MryyY/h+Y9QwpCHjA3Ppm4Tv/ngjce8RGDHHXfMXwKy++675y8l8qfxPdnZ9X3AdVcfZ0EQdB+0prSXojyBMNZl9Aqbk7wshvVbL0riySpOBtE9xN8YOtTXu7PL6u7w0yacXQ4D+G01hwO8vEy/XQyCIOiq9DhHF1IFJtKwNB3gTPHbXXad+YE6J4g8DisF7PF5ycEVpfLvavACAHZoabPulVP3TdU+FCt1Rcb0Cd95KUBPdG79WGqNovRBEARtoWhtaStF+bKO6Rqdg25FrwLXIEeYOKXy6UjKqXfwGfQPfSebyN/38YIgCLoSPdLRhVSJCR+Wpknx6YqQE9KaQ1KUd1dC9S8KK0V3aFd3Bxm3NrZEUfogCIK2ULS2tIeivAXrmZxa4nLtv5eTR0fgy9oY5QVBEAQbn17pYt+TkJOQ4sPSND5sY1JUj41FW+uwqeu7OYGs9QY+9VMRRWmDIAjaQtHa0l6K8k9pT5qOYlOWHQRBEGwcerSjC6kyE+XG21ik9QkCwfgIRzcIgs6maG35PBSV4WlL3I7Gl70pyg+CIAg6nx7v6EKq0DYWOonzFMUTRXXvanSXevY00rFSRFG6IAiCcilaVz4vpcopur8xKaeeQRAEQfdms3B0IVVqKW2JWy5Fjq4g3JcZBK3hx5QfZzGWgiDoCNJ1JV1bisLLwecRBEEQBBuLzcbRhSIF3JkU1SEIPg+MqyJntyhuEARBW/BrSqm1pdRmW2uk+QRBEARBZ9OrSCH1ZKSkO4Oi8oKgo2Gs8ZbSGHtBEHQkfk0ptbboLclFcVsjzSsIgiAIOpPNztGFIgXcERSVFWxcNpd+SMfe5tLujUHIMthc8euJnNk0jr/v45VLml8QBEEQdBabpaMLRQr485Dm/84779i9995rV1xxhV199dX2t7/9rWknPI3bU/ByePDBB+3UU0+1fffd1375y1/aq6++ukGcjoa8+SN7ldGZZXUFaF9KUbygZbzsvNGexgs2HfQLc/upp56yW265xS644AI7//zz7c033yyMH7QPjX2N/4kTJ9o111xjf/3rX3Nd9uKLL24QX3OG737+tITPo71Q1pNPPml33323XXrppXbZZZfFeAiCIAiasdk6ulCkgNtLmvfTTz9txx9/vP3gBz+wXr16We/eve3dd98tjNuTmDx5sp155pn2/e9/PzdIzz77bPunf/on22effeytt97K24/BWpT28+LzZaOhs8rpCFQ3Pl977TU766yzckNt6tSpbRojGn89fVxtLDCeveEelOa9994rvN9ZMFdYW4YOHZqvKd/5znfydbYobtA+0rUEB3L33Xe3//qv/7J/+7d/yzdsfXxBGuaNX3OVVyl8+rYyffr0XJ/+/ve/t2233db+8R//0b72ta/ZY489Vhg/CIIg2DzZrB1dKFLA7SHNF0XMJ6e6X/ziF23AgAH5PYyBNG5PAsMDx54TAL5zGoCRNGLEiE5vu/oBh5oTZZzGNE5X5KqrrrJ/+Id/yHn44YcL47REqTEYlA8nQbfddlu+QVIUHjSHzZn7778/d2y01m0McK4nTZpkW265pX3rW98KR7eDYR2Rw8qn+nbPPffM13GeTvJxdU2fPPLII03pfJyWULz2Qv1eeukl22qrrWyLLbawcePGFcYLgiAINk96FSmfzQ0UcznMmDGj2aenKF+YMGFCfrrZt2/fPJ0PaykdKLy1eB3F5y0Ho2P48OH2hS98IX+kTPcxiKdMmdIUp6Pbk+b3xBNP2F577ZU/Zsd3ylQ89Z2PX4SPw3U5adoLpyT/8z//Y1/96ldzB70ozsYmHaseyaIzZbKxYZ7ymD1Gc1F4W+lM2RSNx3LKa0+dGAdFY4ENrKOPPtqmTZu2QZjoSBn4dYNrnpQBHN00LnRk2UJ5tjQ3uju0EfmmbTzooIPyE93rrruuWVxds7H5s5/9LE+r9bYoXkeQjkny55T///7v/5rpnY1BR7ctCIIg6Fi6hKOLspDCKFIcKDUpTz5LKRcpP3b9McBayjOFOIqXKmopb+WvuKJI8er7o48+mjswRY5u+l3pfL6Kp3andeNeeq08dL8cSKPy0nvkJbjvrwXfOQ3TSctzzz3XFKZ80zRpW1pCfVAUltbn+uuvzx1uOS1KR5xyykzzK4XipPnq8eNyUDp+/3bXXXdt4DgQ7vFhkPZZS5Dex/f11z3RUr6+P4H2Mud8nNYcIPKAorKVb3pftBbu8fHSNF6ebDbsuOOOGzi6RXIgXZovpHJReFE8PvVTBlEkD/9d16XkltY1HS8+jcLSNGneGjNpvF/96lf24x//OI9LHMXzcbin8HLq2xJpnVhnoJSjK0jn21RUD1EU5tvg7/k4RZAGfBuZI0Vl+PqJongewqmH6peGFaVXfMXRp4/LvCVO2jf7779/7uiywaF7Ph2PlB9xxBHN5r3q5uOl+RLGvaL7/rtH9VMayhw8eHCuZznRTeMXofz5LGpvS/j4LdUzCIIg2PR0qRNdKUavdLwiIVzXLaF4yqdUOhnnlJGWWw5K5+uYguL9+te/XujoQmttIg0UlUFaSMNaqk8R5K96tJaW8FL14f6PfvQj++53v2vjx49vuk/eMoCIo/vlUKosD+E+zk9/+lPbfvvt88fpdE/ltibvliiqe1q3ctpHmnLaVS7tyUvxVReQbNQGfXpacmDbQ1F/qD7p/bSN1KU9MqTMNB1O28CBA/OXpumej1NOOeQrfP2L2lJ0n+9F8vAoTlGe1LG19EXhaV6K4+P6OKybw4YNs0MOOaRZPH1SD+KXU5/2QL/zlAxwEl8Upy1QT1EUntJSXH+/KE56D/mIUnm2Bd9Ppfq1HNK0PO2Ao8ujy/4+8Ng/J6oaD6D0apdHcToCymE8DBo0qFVHN22TaEn+5a53Hd2uIAiCoGPoMie66Xd+Z/n222833eP0g8dfWzotUz4oLT0qm+aNsuOenFwpuFQJ8lIlTgugJWVHWl+G6ony5zvpv/nNb5Z0dAX1efbZZ3PDzdfd5630yIA4Puz1119vStde0rJ44yb1SU+50nohQ13zOOH3vve9Vh8Bpb3kDV6+5Kvv/sSL+NSHx5HJW7Lgvi+fR+j+3//7f/lvgv34SfFpXnvttdwxx0gq6iPfVoGsff0Yr0pbFL81aIf6lHx8HpQDxNE96u+dsnIgX2T3wgsv5EjOvs1p2XzncUBo7aSaOpGnr6evoy8HmCO+H1rLn/5kvFAXL/s0X1Ad6JdnnnkmHzuvvPJKU7gvl99I8/tDToX0wjRBe3xcQV2ef/75PF8/74iv+ki+gvu0mU8vY9LzNIS++36hHWk/F40Rz2vZeOZJEtpbVHelJ8yXC6Rl7fP3iAtck4a3qfN78qOOOqpZPIXzmdaNNml9Y63SfeKRpqiepSAv1hggv6I4vh70P3O7tTUJWF8YX75fabsfb6WQXNV26kD/eVkg77Stkq1gbFEH5qhP61EaZEFc1i8vV4X7vP0aBWne1E3jIa3T6NGjc0eXucJ3tYHyTzzxxPxlUDy67NOk+DzZhKTvmENt6Xug3oxRjVO+l+PoAmsM4wCZ+Y1Q8qAeRfJm/NAXxNc4oI+K4gZBEARdiy51osvLLH7+85/bYYcdZrvsskvutGCsnXLKKflvhI488sj88ag//elPG6R9LTPQjj/+eDv44IPzN/yShzec+Z0o6Q888MD8MSzecOvTe2644YZcsf/iF7/IlTcG3V/+8peSChmFh2F5+umn5ydDfPL7tZtvvjlXkEUnusoLhXneeeflu+HHHntsXh6759dee20erjZgIPN4GHKgDeSPIYbx+Jvf/CY3NjjJ5P6YMWPyNNQrNVhaQnExFng0EYNWUDf+xkFxpeQxdJA9bw0+7rjj8heCYHAgM+p08skn53VUOtrB34LQF6ov/aX2qg6SD4bXRRddZLvuuquNHDkyrwd9DPfdd19TGsYOcvv3f/93+4//+I/8jaz8rRHlUw/+jiQ1TKg7bxU96aST8nh8Evfcc89tFk/p+O0v5TMGGZ+8VZr+u/jii/N09M1DDz3ULG1LIAvGCumQweGHH97MGKdN/NaYsUjbbrrpprzOyIM5gYwZb9S3NaeXx6LJg7wYY4ceemg+D+644448nDaSt+IjU2SGTOh/6kYfcE/x9HnnnXfm9WBc8tIaDELacc455+Rl0dcyStn4oV/ov9122y1Pi/H4xz/+MZct9eOFXKqHYHwhd8YY+e233375+kCYd6wF44fTJ04ekRP1oL2MORnDY8eOzWXCxgjjhkdhiasxwzqTOji0mbWAuv7617/O5wlvpaUfcY58XEE5rGv0M+XxnXwvvPDCXLasM7QbGci5Yqwhv+OzNW2PPfbI5av2QjqWAbkhI9pKnmqvn3/In7rQV8Cawn3mEm2mXcgXGfixSHm8rIvNAN54zBzjBXu0H0jL49+Kq3Q4V7SLPMlb69uVV16ZhzPONOfLhT5ozdEFfk9KmcgQkDH19BsegjUMeSMb+pU5RRr6h/FKf6RpUmi32sP8pJ30AeOFcNYa8mPsc52mp16MCeYQ/a25w88a0rjIAD2F7Fn/ebs9df7d736Xr6m33nprHo81BF1IfuTLWqU8qC91Qy6Mk5122qnpSZy0T1ifcHTVb8wv1iPGA04ucwgdx3px2mmnNRsPHtYG6oscNM+Y05dccknTPNb48eNIaUmHTCiHvuXlh6TjaYyWHF3GITJnDlI+fcs1dWXtpL2UR7tULnOF+tH/6CzmOPEpk3p4R9uXFQRBEHQderFIdxX4XSeKF+XJm3v5xIj885//nL+kh11YHCIej8WAxchRWpQOhiDKmrSEY0wqHKONcB53IxxlpzDgbZE4VRgExMHoQQFifJAOIxhl79MIlD8nmTgDGIy0g/qiFDEmMaIxAjBOfDoUKb8L5PekOMWU9/LLL+eODHXAaCEeihyH6sYbb8yNmH/5l3+xrbfeOjdsMMyRCf8viaGLzHCskRVppcDLgfqxIUDZxxxzTH66QdnUCwOal0xhBCq+8n7jjTdyRwrDktNrysdJwBC6/fbbc9kTDyNkhx12yI0SjCCMS8Iw7jBaMSSIR5l8Uh82ACgX40KnHOyw42h+5StfyeVGXO5TPnn953/+Z94fGIiEIx/qRzzVmU8MLOQoZ4tNBeLzBk+MeBwE4gqNoT59+jS9WRqHgrqRF/dwStJ+LgVlUi/aSFp+26wxTf047aAM6kP4b3/727zPMbwYZ2yuMDf++Z//2U444YQN8gccJ/L/9re/nY9H2kQ7GKPIkI0J+sKnQc6MIzYWeGs49SQfHHvGKs43dSMubWUcn3HGGXkZGMPIkHGP3MmDuv/hD3/I4zOWMGrVJuY7RitziLnHPRxg+oL49DVzhBMbDHvSU3/azTjVePTjnLYx//nbEfJlbAAbQMxj5iLzmvHNnMIR42VgrCuXX3553k7GksaMoK3UlbHKpg/GM/mwWUBdttlmG3v88cebpQHqTBn9+/fPT0LpUxx3+pP5hhNFubQdh4M2M67oF/4uhXmDw0Q465LPW3MF+VIH6scYYh2hH1k/qRd5Eg/Z4ewwTsmPT+YMBj3tRXaU+41vfCPvO+Y26ZAvDjpxcDBwbugnZEV8HCvaQVy9eZd6UD7zXeubn++MGeKVO18EbfaObhpOn7ARwhhD1ugG1hrkgfNJ/z/wwAN5XJWN04OMWUdZaxnvjA/WW15yxNjxZRSBjGg7sPYwbpExekPzlrb/67/+ay5fyRaYlzz+y/jUmEVe6ALKZ+76shhPxGcNoK5qI+Pjf//3f/PyiIe8GWv8lIO64GQrD+rJ2CIuOoVwxrLCFA+8o6twnGjiIyPS7rzzzvmaLxi7Pg/qwphh3WGssNFHvdFzX/rSl/I+0EkpsvTjgvcusFZLV9JPtJ1NYjYEkCd/LyS950GvU3/mAeOUuYFsaTtlstaxnvo0rHmME+qGfMkD+ZKGDQPyIh/i+rUnCIIg6Fp0KUdX8HgUihfDWQaJB+XKo4b8Ny3K04ehsDhx8I6lV5jsgKOU2U3mu1dSOL+EYUTonsBwweHCSPf3cXIoD8fQ3xf6H1mM3NSgw2HAeMBg8PeBXWvKS41tHAAcIpw8FC5K2IdjxFIezo3upUZLKagfJzzIANliMPqwUaNG5WFpnTw4C/Rb2i+kx6jgJKiovZykYKDhdPIdQ4P4lEeb0vg8mkwYhr2/j3GFTDECMUx8mIcwjBXyoI98GCeBnFDg7GKIcc/3HWMAhwUZ4axwD4cFB9hvBJQLfUpf46hgwHHPl4dDQJ+SvxxGD/1Cehl56m/y4DSHNmLw+zQYbtpQ8nXGwMZBQDZpHyocgxMnKB17OGnkRxgGJfcw1Nl0wFD1cakPzhJ5SYY4TXz3Rj3OL458ajQD5TEPNGYAAxajnvvp2oETx199UUcceN3HyWA9od4yXosgb8mMNcqvHXxn3Pl5pz5Uf2A00+btttsudz4UT+CcY7DjfDKefBh9Sx/TNuWr8pE1daLs1OhmEwIH4IADDmh2X+skYw4nN02nvsQx8/eBTQbCiJOGkQ/txRnFccSpw0FO49GvRetbObTk6CIbnBrWmaK8CWfTjrRyzNm0QEapswM4Xoxf4vCdtqWyEmq7+pt2M65YD9kEZb6wpjJfcYKZS8QjPn2OrFSOhzWOzUONWcYxG4rMrTQu4HDK0RXSbdTD3wfKZyOJsVmuo+ths4q8kWsaBsqLeUq/MDdTWbN5Qh7agKafNM7ZZMDZZ5NUG2AeNlORM3Mn3WwhD8Y+5RaNQ/oM55/3SngnmTWIdbBoPaDu6HPWgzQsCIIg6Fp0KUdXygmFjtJDQUnZgTcwcIxwNtjN1T3AUCAtTorS4jQpHAVGeOqQ4GCwq4wRKgPEl801YRjinORwDyOLEzGQ0sOB8OVxyqr66PQFMBhwpjBwSMM9X57aQTt1D4hLXoTpJA65SXacemGQYJD7dOWCYcyuu3eolDfOPOV649eXTd04kcB4xhjjnvoM5xHDmrx9WoVjlJI3J9T6jnGCQSeHVfIhDU4RmwFymrlHOA4CJ+jISI660qmefOcaQxH5s0vv43FSgNGEMcypDvc89B1GIU69+p20OMW+71tC7SYdcKKI3HTy5vGbDz5/1ZcTEsLlXCpvxhDOBPVUOjmntJ9TS5wVfwrJ/MCxxJlRPD6VJ2BEM3bTpyI4haQeODh8V1qcBdVV4BgyHjAm/dzRiQ5QP+RCfiqfPDWPWCdYA/wmE3Wjb9hE0j0gPRDO6bvfBMHAZcywOZI696RRO/gkPUZ/Go8Tbhwi2qOxn7YZhx75sAmnflC7iIshT3vY4EnHEWOZzQcMcl829+l/5MRJl08DyJR1lI1DP5ZZu3A4GB/UV3VVW3HEqWt6kgjMf8KYf7qXpmcjA8eNE13fdwrXGl9qg7AlihxdlcH6x/htKV/mO2UjZ77jKCEHxq/qJ+gHTknlBKV96tFYUR6cWLJ5R948OcA90jNWvJPEXKD/GFdqh4dH4pkrapM2L9iYKdqM4jSVseDborFXagMU55hwZJGGQUuOLusoab0TTR/RVi8v9CYyZs3R/FN7eaKBNjLX/dhnnjBfKFt1E6SlHJCj651VoL6EFclWdWP9Y37wCLfCePScR6G1DnqQOfYDn0X9FQRBEHQduuSJrowg/5iVkALGiMcoxIjwpz3stnKfHVft/nplpJ3t1IDDmCEdBjJGCEYKRiSKFqVMHpyosbOsxzYxPDD4vfOmsmSM8wgz5aWOLjv6GOQ4lCoLQ4DyAOMTQ5FHtfwjbrSftmFA8XtQ3Rc4iBiwxEnDyiU1TnC+MCDoD4wRncB5SEP7cKr8I7hAnTHKkAMn4LSPNukTKANjg/YibwwNPwZ8nVIkcz45keDRZU4ovDHl0yu+xhLfcQhoK0YPj9xiSOK0y2nxYJhSNxwM0um+yiFfldEaxMWw46QRw10nuj69HF3ahDPt8+dTjq5OAdVWbepo88Cn4TOFk002cjAMGbc+PnkqX4xo4uDYaTMBdArIUxN8J35alvLgCQnGP/OgKC7faRdzEudSc4P280nfMsYYM+TBPeYRcxFHR4/4qryiNqv/WT9oD/LVJldRvPQ7/cbYZR4iE/qPzQo5lGmZGMfIJ928Un/yswvqzm8J07Q4O5pbfmOCzS79vhh56LFbyYs5ySOzlMu4VTqcJU4JcczVHj51zTylf/RzAtB6Sn+QH04T8lX9fTyeuGCtoB+oC2uq+o1PxhrOC/H4rrTlQJtSRxeoCw4NMuSRVu5RL+L7+tF2Ni1xLtkoY+1BDrQJp4p24cwzB2gb/dzSOBKEeRnyHf1E39Be7ikfXRNHP7fh5FbrInCN3BhPbPoxzpU3Pw0gDXMQB42nBdB9WvOE6qu1gJN0vvt6Uo/0aR2FiSJHV3nTx6RlQ0X31E4+1U6lE4wTnEXWPJ5aod945Nw7uqwTzHE2+ZgDPj15Av2LnFmztWkpkC3jkJ/S8J24fNI+1ZHy+ZkDa4BOmjWvyJcxivzYXNUGhdrFdVHbgiAIgq5Bl3R0cVZQnEWOrpQKygmjD0fT7/Ri7GOg4eh5J0RKSTvbqaOLkkYh8piZXuiCUcDvj3AUOAXCGEDh4+iSH04ZeekxaPDGA59ydPmdGvdUfxwKHFk+MejZUUcpAwYN91CwGD8Yij5/jLFSji6Ph3EyjdGue+UqYh+PUwHkgFzoB5wXHpVGRvptXQrtw/CiX9KTSQxJDAcMFtqnNgocFOrMI2w4LHqUD4Pb5yOoayprvrMBUuToKl36HUeW37dSnl5WgyOCE8DpGUax4qs8jD36FPnoHhBP9dK1wopQHIwvNkIYe/50WXnLQeLExJ94CjZnCPeOLmmRK/2lpxe4rzDJzMOjfRh2GNV+bFFHXx9kjFFJff3jgMwT5p4e/S+SgfLgtJY6M79UF8UnDkYwzj9jhqcTGB/0kaBtzEfkxqYIeeD0YLCSpshgl5GrsnSNzHF6KCc1piGVF44Hc545y+PGrA3UgXmHo+udL1+O+pE26x6ojpxm4dj7R7EFDgFziDHp88cRJU82t1g7OEFlUwl58YmcWEdom078gUc8eRIF+al8PnXNvCNfjR3aIRnwYh7CGI9qn28nfcfYwDGiPzTHkRdrCHWkfpygI0fv2JQD/Vjk6FIuG5HULf2JiYc+Zg3FsdGJHY4NaxPjgPQ4Xaw/yA0HJ82jCGTgZUg9tYGSOqCaT7SdOYczx4m95JOOdfJgbWJtJD1PnTD2SEt9gXFPn7I+qQ5CG7x63Jzy1Wdcy9HV49FpetZG8i9ydDUe/GmxHw/+O/myTrH5wvrJb6aZP3rqAP3q5yn6jzlB/eRkqm7kCcQvcnQJY86wJnFirPspjAd+EkCfs4mj+8wt5hs2Bu3jk7WRPvE/adG8CIIgCLoevaQsNjUoL11zOoJi4dGyNFyfGGo4Izg1GM2Kp0dg5ejqvuAElXAMU38fx4v7/KbR3y8FDgcGJGkwInQfpcun6ilHF0OFMN3ndAYFzu9DlbYceCskBhmOrk7dPLwZFaU/ZMiQDcJaQvXCid97771zZ5V2YdQrjoxfHF2+Uxc+MTC5RiYYBjxuzEaE0mHMcaqBIVFOe5ETRjuGDxsOKgeoJ9/9PUE92JFnTGCg8ncbCsPQ9HEBIxdjmZN6nADd12OoGOsY0j4NcMqAHHgMLw1rC7QFaC8Oh5wYwnz7kDflsQnAd40j4vBJfxFO25UGtBFDvymdH4MppCc+Bq3GFvH59Gn01ADy8WPwJz/5Se5YY1TqnsfnoVNxjFy1w8flNAsjlfzoJx9WCk7N6E/qL1lQf8aF4vhyJGN+XkAaxowf7378APE56cOZZX6xwSb5sCHCnAY/9j3+hN3fp07kjaNAOPLlvuoH1EsnurwZV/eRDYY8Y5h5pvulUPupI+sEjqjK4VPXnBBSFza40rR6dFmOrsI43eeaPNjAo168pVtxWsK3tTVopxxdL2v6GWeHunmdkMLmFu1m/eWkT/eRMb8l16aeTnmROfqGOF5GKepHhaN/WIt4JB0HVXE0ZoC4rDWM83JlJRifbApzooquZAwwjtlgSOeM1hAcXX8fqJM/0eVe2kZOWmkLjq7uaTywsUVaHFeFAb9v5VPt5ZM1DGecsSOZAu3AkWQtk6yAtxszjqifxpfK5RMYD+hD+p4njxTGfdYo6ub7OYXxwNxCbql+YnyxVuGYszmDbiM/NhlwvImj+gRBEARdjy7l6Eph8HsmlElLji67wigmjDXvxGDgYjSUcnRRnOTNSQLflR87xyrTK2ZQHN3TNUY6aTj1KAqHUo4uu/QocB5L9fFTfNmAAcLucylHF4eNMBQx39P0LYGhx6kL9eLkW/fVJjYJCJOjy30ZRHxiWGC0+ZNQxcPYo18woHW/CJWF0YRjzI5/Goc2UR5xFR+4RibsuiNv76hQrpcXj4ciJwyc1JnlO0YuhrTa4Z2IznB0MVIpT3Xx/aZHl3H6+U58pYNSjq4e/2bzBnmpr0T6HSMRox6D9p577mkW5uuDI8vcw5nxjqFOdMtxdPXospx3hdEefbLZQf2Zs76uarfQff5+hA0D8sX45x7ptBFDXF8HhXM6xphJHV3kzmPC+s5LdzihY8zIyBWME8Y+fShH1I8ZkKPLb1v5rrrwSd14coJwORse2iZH149XHA/qlDrAytvLTTLgmnaxWcFaojh86lqOLrJXeiHHhidedI9NLvoSudBunALiaJNFUC+V4fsu7ZeWIP8iR5d8mUeUqzUKfDmAg4UDxHrEnGHcp3OHMniMnTHAWNc4bQm1Te1j3OF46ucnipO2m7WRTb3WdIHyxTHT3/EoDF3H2MXB1RM9PAmkcG3wauyltObocuLqHV3fjziRpGWjS/EZD6w/ajffOZFmbuI0q+765NRcPwPy7eL3v9ynflrPNVb4BPoqdXSBfNiwoG5etmnbmAuMB9qHw8099ChPJfl4tIGfOShP1gMfHgRBEHQ9uoyji/KRAuOFIigS7+j6cNAONQ4d96W8UHQovFKOrk5NUkcXYxcDAeOJkyGfxsfDyJNjjUPOo24Y14rnlTTI0cWIJkz15FQEQwvDTHEpw7cFo5HyZCwAYeU4uhhXfFe9ywHnj8f1cPLS0yzQo5cY7HynDzBQuMbYwLDDGC9ydDFYOEHhkUHdT0Gu/LaO36fRNoxE8qP95JG2BflQZ19X+pE20CfeGeH31L6uPDZJWyhPcQS/28Nx4OSOsYCB4x1unUbyCKpP11bUz3zSX6VOdPW4PeWlMuA7jxUSnhrrPFaMYclpOkavT6trjGNOknSKwgYDebHxo7gpGgc40OSjunJaRB9jhKdpwLcp3SzwYQIDmvw4PSXczy0Z8TiAxNN3rQt6+Yygz1UGY4Q+VBhrBvOYJzR0agQ4NzzCzzVjgDFFfXRaRtslR5xMxgwGM/lRVxwYPzZbcnT5ZL0jnMfGlUbQT8wF8vdzi/bze9P0tA1os2TGOqJ68R0HEUeXp0N04o18JKOWHF05Nt7RZc7iwGj8IiOcNxwuvlOu8lYdmJ/MPxxKvpcL7SpydIF24hix3vJdZUrGwNrC2stGjdLw+D/6grqpfkpHv+OA6V4pJD+VST1xkvnZisYVeasukjuPy7JmEY/vKcTndBSdQXocM9YvHrktis/pI7JhnOse/VE09oD6fh5HVy+j8qfFtI3xLGeRMctpKH3DJrXykKzRpfSJ5i1PS7DOoBOYV7xoym/kKD0g5yJHlzDaTb70H/G4L7kL6kP9eXRc9aEtrIHkkcanDF5UlZ7+0i9e5wRBEASbni7t6KKsvVGncHbk+S0WykbGvcIwmmQQpsoawyDd8Vc60EtW0lMIgaPEKZO/hzLGoNOjcmmZPP4rB0+KFjCc+a0PYXLAhPLAyEwfc0QRo/gxUv3JjsBAQOnrRLctXHPNNXlb2CTwcgHqhFGMfHQqywkjBori0D5kT7/JCFM+GJE65eHRdB+mTxwBHFLdw+nCUSt10oERg/x9XTFKeKSdelAHhWGo6XSOemK8UhdePKW0iovxTRh5MJ6I7/sdOdFvnOjrnu93GUttgbLoV413nwftpz6MBRwK3Re0jXD+TsffR+b6e6GiR1CB+5I5yCDVS5UUX+3DIWZ8UF9vVAL5IJdSj416GSFD6oVRrnu+XlwjA8aMTt4U5kE2vh/oL/2Gnd8b6r7yJk/q6fude7SZNvHYuu4jVx5r5pr5qhNmOb++PXLKGfvkgWOjOah4OlXTBolvL+gFQ5pTPn85utRTjqHSa+MFZy01yoG0ON2cBOoeayin2Gya+bhCmyv6iQd1UXmcauGYscGie4wLNoOQE9/ZeGB9Iw/WJO6lUEbRo7TlgJyZL75NQPly2ny5XpasK+gOPbXAZhkbHXLAFF9p2GjxT2+k/SYYRz4M5xRHF9lrs5I4rCfEU/7ISr+z56cnSu9BN+lvoHDueZJJTy0I8uaTTVzmqA9jA5STf8rxceGyyy7L5xjl+3nmZcZTI2w8+g0igUONE8xJp9rPOOS3xtpAw+Glzygn7TPQOkU5fGd+ap6wKcZY1Vrh6wXUifHIePCPQxMPuWvellpD2LDxtgRwOs1c8zpWbWONZH1kDVMYmyfoZDZ20pPgIAiCYNPRZR1djEYeBURJobxkwGGccOKIopFh4hUfClxKk91n0mH8YJSjOGV86Td26akvTi4nazio2oXn1ARjiB1qnfaqrhgp3MfxloFKmcTDCKf+PIKLEqRdflcag4X6YADgXOGYqa44uShbnVRxH4OC35BhVOCQYiiShjYgA9Lx2yfaR32Im554tAT15sQbY4Q2aXcaZU9ZGBqcgmC40VbahtFLHIxvDA4MRjmnnIwiO8kKBwBjmPZyOkEY7UImOKy01/8+i7ZzqobscGYwHLlHGk4RaGvaf4ChRxuIQzhGCE456WTgsbnACQB9zTjiPkYRRh8vp+LRck74GQ/0BQY56TGGCEfGnMJyAsI9OaAYscTz9WkJ2sRfsTBGyJPy5WAif5xzPZrMRgNOlsYl/UI/6P+AMeA5DUTemhOcKDIfGDMYyrQRGdPXGMqEpfXlJBi5cMJJnxEXOTIP6XPq4U8dMVyRMTKjHuSJg0j/S97UCWgTaekP4uIM4pB6GYLS0VbGDPXh5I30yBhjEocVI1VjgPt8IhdOvEjDGkC+tBFZEN87/YIxw5pDGdST+rCxoHoAL4nC+GX8IiPCkA3rCI4Qjx4zVskDWcsxYS3w/chmG+NGp730N2OQ8Ug4Di/y9POPTR2MfQx6xrWf1/Q16weOMKeqhCET8qcc+kMndeTJOsKYpizmK+NPv6ckHeuI3j/ARgPxNSaB8YNTw5ii3sgAZ4Q1gnDJjLGGM0y9cNSY7+RPe5A385e0yrccWO94NJ56Iws23bQ5oXWGcUe9KZdNF+rDusE4ZcywCcp6rnoy53BI2SCh3zWHkSvrGGueNpFURhEKo92MafqEdZoxg3zo03STQvOUfsEJZcySjv4gDFlp/dE4p38YK6zxjAvKI4x6M0b5/XHqkGqjhDSkp33IHvmwnuOU0t+MH/qbviIdeTN2eCqEcOat33wG5hd6jM0l5EfeyFfjAZA1J6A428xN6kD7aKfmC+spc4s2MZf8kyGswziy9Dd9SX60lzx5vwZzA9hMov5KB6whtI/20xbJinGDfkHmclrVH+gixgR6kHjIgXL5xI5grfM/maIeyAc014IgCIJNTy8UbleANxeiZLjGQUNhYKBhSGH4YTDxiTLE0UDhpHkoPYoJQwplhIFw6KGH5o9E8fsbjAgcaJQej7dh5Pi0QJkYYTgQlItiPv7443OF6eP6NNQZg4H4OIQoSHalx4wZkxs6OOc415wk+3RKSzqMDE6R2I3nhAiFTDjxMdJoB+1n15g45Ec5hFFnfl9LGM4DdQbkgFL35bUGaTjpwZjFeaI9khOGFPlTFk4X9zBscB549E5lc6oC/I7J501dMCpoK+3hk3Q4vhheqWyA+BiueoRw1113zQ0jDA/FYfyonRj4PI5LPZAn8TEYCaMMxcNJRIbA2KKdGJXEJQ5tpz04PHznJBoHgD4A0vEdIw/jz9dF1y2BgcgpNuMUWTF+uMbIou+RNfcZp8iIcOqDYUg4Rh/10NzAIaQujAVfDjJljCFrxgdxqbdOiImjOkv+vFWUulEec4c01IUyMdaVN3CPulEX6orhyXfmL+FeHpxY4SxTPvKjj0hHP6mPqIP6SDAGaBtjkriUQX/5MeBhrjLXlD8yolzmFeF+vQHy4e2xxMchpRycaYUD8ZEt9aB9GOOsExj0lMebkRkzyIDHHhlrpMPJYQzSh4QxjvnU3KBO1BEHmDjUgXHAeCOcuiB75EU4cakDayB1kgxwppEN+dNnpKHdOH6EAxuF5EcegrWENZV5Q51UFvfpf+Iwn5QHsMbi9BCPcceYZR0gjL5T26kfTg9lMh6oH224+OKLm+KXC/XjTbj0PXWkD+hTytbTG+pT6kB/silDPyEP2sKagyPE/NG4xNmj33BEaQvx0RuMA/qXjQPlnY5LoXKBcUB71deUq3WD8e/j86lr6iRdQB2QFfVnvkuewFpDPelvxjhtw/lijlIuTq4vQ9AO2snYoV2sB7xhHtmx6YVDrzc/oytJQz9Rb/oZncAncpdMNI+YK4wh2kv9kTP95ctnnLLOM67oN8bD8ZleZROEtjOmSMv40HjzYwTZIVPkwvxi04p+omzWNfQ6ablPH5BGMkB+bHrRNmRLOcwzjQeVofhsdOM08zZu5iJrJZtZjDs+2ZhQGqAOjBfyk50QBEEQbHq6jKOLASElI0cXJ07hKHdO/vRdeMMjNdYJwwn0igcFiGLnvjfApbB9fuyCYyRygqF7hPt0Pj6GJ8Y6f3GgMgmn7jIMhM9DsIuO0pVR4/NuiXLjtYbPByOF01pkoHuSa0pRW1JIm6anHygjdVaIV0o+GBT6L1mh+GkZGCPlGB2MBfrHG1WpTNO6dwQd1W9FeBkynlQWJyiM0aKNIkjljgw1Z/z9zpAHZVPPNG//nb739SeNd6p8uwX1lxMNCvfxVAbt9WPeQ3zFY37gaKQGL2NIsu7M/gXyLyqLujGm0w2J1kjllqK286m5gnNStFkCfPd5IlfmGU6Nj18Oyq8orAjVFXgSIdUdqgOkcwH5se77MY98fZ5FqA983qUgr6I89Z2y0QWSrYfx7tdAymN8sz7qXior8lXelMs64Ndd2gzp2louKo9xV1RnwiUf6oFO5FRX4akcBOk0vwVrOnVVOeRL/yID1YN7Kg98HrSdMeFlpLj6TNtAmfSJz1OUqnsQBEGw6ekyji7KQsqIHXYcXXZupYy9UipFexUO6dqSlrp8XuVWTns2Jp+3PS3RVvm2NT4oflvTdTSbunzB+NoYY6yj29veudWedIrfVfqsPRQZ3puSzpJlOWN5U/djufNN8ei79o7ZjUFr7enq86Y9c4M2l9uPQRAEQdenyzi6Hh5R0qPLuldqJzUljRNsHkTf9xyiL4MgCIIgCILPS5dydHlciMe1+O0dji4vB+E3cTySlDq6GMPafYUwjoMgCIIgCIIgCALohYPYVeBFKbzMQS9u4QUTvDSCF2LwWHNRGpCjGwRBEARBEARBEARdxtHFkeUFJ7z4iZNdPvl9LnC/JUc3CIIgCIIgCIIgCESXOtFNH0UOgiAIgiAIgiAIgrbSpRzdIAiCIAiCIAiCIPi8dBlH15/mvvfee3GqGwRBEARBEARBELSLXt7BDIIgCIIgCIIgCILuTji6QRAEQRAEQRAEQY8iHN0gCIIgCIIgCIKgRxGObhAEQRAEQRAEQdCjCEc3CIIgCIIgCIIg6FH04g3HQRAEQRAEQRAEQdBTCEc3CIIgCIIgCIIg6FGEoxsEQRAEQRAEQRD0KMLRDYIgCIIgCIIgCHoU4egGQRAEQRAEQRAEPYpe7777rgVBEARBEARBEARBTyEc3SAIgiAIgiAIgqBHEY5uEARBEARBEARB0KMIRzcIgiAIgiAIgiDoUfSaOnWqBUEQBEEQBEEQBEFPIRzdIAiCIAiCIAiCoAcx1f4/mCGxY6hjwBUAAAAASUVORK5CYII=
Dado un set de objetos asociados a una línea de tiempo de eventos, encontrar los elementos que tengan fuertes dependencias secuenciales entre ellos.
Se forman reglas descubriendo patrones y luego se aplican restricciones de tiempo.
Es el siguiente [[Problema controlado]]
\[
\begin{aligned}
\text{c.t.p. }t\in I:\, x'(t) &= A(t)x(t) + B(t)u(t) + r(t)\\
x(t_0)&=x_0
\end{aligned}
\]
Dada una [[Ecuación quasilineal]] y una curva $$\Gamma\subseteq \R^3$$ parametrizada:
\[
\begin{aligned}
x &= f(s)\\
y &= g(s)\\
z &= h(s)
\end{aligned}
\]
El problema de Cauchy es encontrar $$u: \R^2\to \R$$ tal que:
# $$u$$ cumple la EDP
# $$h(s) = u(f(s), g(s))$$
Este tiddler se usa para anotar los tiddlers pendientes.
El $$k$$-ésimo percentil de una variable numérica es un valor tal que el $$k%$$ de las observaciones se encuentran debajo del percentil, y el resto arriba.
Si el porcentaje se expresa en fracciones, se llama cuantil.
Es una función no lineal fija usada para transformar x en un vector de características $$\phi(x)$$. Estas luego son evaluadas en una [[Función de activación]] $$f$$ como tal:
\[
y(x) = f(\theta^\top\phi(x))
\]
En el contexto de [[Clasificación]], son métricas de desempeño de un modelo. Se basan en contar los datos correcta e incorrectamente clasificados.
Dado un estado $$i\in I$$, su periodo está dado por:
\[
mcd\{n\geq 0: p_{ii}^{(n)} >0\}
\]
Un plano cortante es una desigualdad $$q^\top x\leq r$$ que es [[Desigualdad válida]] para $$P(A, b)\cap \Z^n$$, pero no lo es para $$P(A, b)$$
''Idea''
Agregar uno de estos cortes reduce la formulación de $$P(A, b)$$ sin remover ningún punto de $$P(A, b)\cap \Z^n$$
Es un algoritmo para resolver un PLE basado en calcular [[Plano cortante]]
```
def cut(P):
while not isinstance(x:=P.solucion_relajacion, List[Int]):
P.agregar_plano_cortante(x)
return x
```
Esto requiere un algoritmo que genere el plano cortante, como [[Gomory-Chvátal]]
!!__Hipótesis__
Sea $$\alpha\in\Z^n$$ y $$P$$ [[Poliedro]] racional de [[Cerraduras iteradas]] $$P_n$$
!!__Conclusión__
Existe un $$k\in\N$$ tal que:
\[
\max_{x\in \text{conv}(P\cap \Z^n)}\,\alpha^\top x = \max_{x\in P_k}\,\alpha^\top x
\]
!!__Hipótesis__
Sea $$Y$$ un [[Itemset]], $$X\subset Y$$ tal que la [[Regla de asociación]] $$X\to Y-X$$ tiene [[Confidence]] menor que $$c$$.
Además, sea $$\tilde{X}\subseteq X.$$
!!__Conclusión__
$$\tilde{X}\to Y-\tilde{X}$$ tiene confidence menor que $$c$$
!!__Idea__
Si muevo itemsets del antecedente al consecuente, no se puede subir el nivel de confianza.
!!__Demostración__
Primero, se nota que $$\sigma(\tilde{X})\geq \sigma(X)$$, por ser subconjunto. Luego:
\[
c(X\to Y - X) = \frac{\sigma(Y)}{\sigma(X)}
\geq\frac{\sigma(Y)}{\sigma(\tilde{X})}
= c(\tilde{X}\to Y - \tilde{X})
\]
Un poliedro $$P\subseteq\R^n$$ es la intersección de un conjunto finito de semiespacios (desigualdades lineales). Estos se pueden escribir:
$$P = P(A, b) = \{x\in\R^n: Ax\leq b\}$$
Con $$A\in\R^{n\times m}, b\in\R^n$$.
Un [[Poliedro]] $$P(A, b)$$ se dice puntiagudo si tiene [[Vértice]]s.
Se dice que $$P$$ es polítopo si es una [[Envoltura]] cónica y [[Finitamente generado]]
Se le dice así al siguiente conjunto.
\[
p_m(G) := \text{conv}\{x^M: M\text{ es matching en } G\}
\]
Nota: Ver [[Matching]]
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
Dado un [[Programa lineal]], y [[Columnas base]] complementadas por $$N$$. El pricing problem es:
\[
\min_{i\in N}\, \{(c_N - A_N^\top y_0)_i\}
\]
!!__Hipótesis__
Sea $$X$$ un [[Itemset]]
!!__Conclusión__
$$X$$ tiene [[Itemset frecuente]] ssi todo $$A\subseteq X$$ lo es.
''Hipótesis''
Sean $$E, F$$ espacios de Banach, y $$(T_\lambda)_{\lambda\in\Lambda}\subseteq \Lel(E, F)$$, tal que $$\forall x\in E$$:
\[
\sup_{\lambda\in\Lambda} \Vert T_\lambda x\Vert_F < \infty
\]
''Conclusión'':
\[
\sup_{\lambda\in\Lambda} \Vert T_\lambda\Vert_{\Lel(E, F)} < \infty
\]
''Demostración''
Considerar la familia $$(E_n)$$ dada por:
\[
E_n = \left\{x\in E: \sup_{\lambda\in\Lambda} \Vert T_\lambda x\Vert_F < n\right\}
\]
Que es un cerrado. Por hipótesis, se tiene que $$\forall x\in E\exists n$$ tq $$x\in E_n$$. Entonces, se tiene que:
\[
\begin{aligned}
\bigcup_{n\in \N} E_n &= E\\
int\left(\bigcup_{n\in \N} E_n\right) &= int(E)\neq\varnothing
\end{aligned}
\]
Por contrarrecíproca del [[Lema de Baire]], se tiene que $$\exists n\in\N$$ tal que $$int(E_n)\neq\varnothing$$. Entonces, considerar $$B(x_0, r)\subseteq E_n$$, donde se tendrá por construcción de $$E_n$$ que:
\[
\forall x\in B(x_0, r): \sup_{\lambda\in\Lambda} \Vert T_\lambda x\Vert_F < \infty
\]
Por las propiedades de traslación de bolas, se tiene que:
\[
\forall x\in B(0, 1): \sup_{\lambda\in\Lambda} \Vert T_\lambda x\Vert_F < \infty
\]
Entonces:
\[
\forall x\in E: \sup_{\lambda\in\Lambda} \Vert T_\lambda x\Vert_F < \infty
\]
Un problema de optimización $$\Pel$$ es un conjunto específico de instancias $$I$$ con una descripción
(codificación, $$<I>$$) establecida.
Una descripción de una instancia $$I$$ debe tener 3 características (usualmente implícitas):
* Un conjunto factible Fact$$(I)$$.
* Una función a optimizar $$F : \text{Fact}(I) \to \R$$
* Un sentido de optimización (minimizar o maximizar)
Dado un control $$u: I\to \R$$ y un problema de Cauchy dado por $$f$$, el problema controlado es el siguiente:
\[
\begin{aligned}
x'(t) &= f(t, x(t), u(t))\, : t\in I\\
x(0) &= 0
\end{aligned}
\]
Acá a $$x$$ se le llama variable de estado.
Es un problema de [[Aprendizaje no supervisado]] que busca encontrar todas las reglas de asociación en un conjunto $$T$$ que cumplan con tener [[Support]] y [[Confidence]] mayores que ciertos parámetros elegidos.
[[Métodos predictivos]]
Dado un conjunto de entrenamiento $$D$$ que contiene $$n\in\N$$ observaciones de entrada
y salida, respectivamente $$\{x_i\}_{i=1}^n\subseteq \R^M, \{y_i\}_{i=1}^n\subseteq\R$$, de la forma:
\[
D = \{(x_i, y_i)\}_{i=1}^n\subseteq \R^m\times\R
\]
La regresión lineal busca encontrar una función $$f$$ definida por:
\[
\begin{aligned}
f:\R^m&\to\R\\
x&\mapsto f(x)=a^\top x + b; a\in\R^m, b\in\R
\end{aligned}
\]
Que "mejor" represente la forma en que la variable $$y$$ depende de la variable $$x$$, en base
a las observaciones contenidas en el conjunto $$D.$$ A esta función se la llama modelo lineal.
Para esto, hay que definir en el contexto que significa "mejor".
Considerar el [[Programa lineal]] $$(P)$$
\[
\max\, c^\top x; Ax\leq b
\]
Se define el problema dual (D) vía:
\[
\min\, b^\top y; A^\top y = c; y\geq 0;
\]
Esta definición está motivada por encontrar cotas del problema primal - cada $$y$$ factible acota superiormente la solución, y la minimización asegura que estemos obteniendo la mejor cota.
Esto está garantizado por el [[Teorema de dualidad débil]]
En un sentido más general, se tiene:
{{tabla_problema_dual.png}}
[[Pendiente]]
Un caso particular es el [[Problema dual]]
Es la [[Cadena de Markov]] dada por:
\[
\begin{aligned}
\mu &=\delta_{1, \cdot}\\
p_{i,j} &= \delta_{j, i+1}\lambda_i
\end{aligned}
\]
Un [[Proceso Estocástico a tiempo contínuo]] $$(N_t)$$ a valores en $$\Z$$ es un proceso de Poisson con tasa $$\lambda>0$$ si:
* \[N_{t+s} - N_s \sim \text{Poisson}(\lambda t)\]
* $$(N_t)$$ tiene incrementos independientes, es decir, $$\forall 0 \leq t_0<\ldots<t_n$$, las [[Variable aleatoria]]s $$(N_{t_i}-N_{t_{i-1}})$$ son independientes.
Cuando no se indique lo contrario, se asume $$N_0=0$$. Notar que esto está forzando un tipo de [[Propiedad de Markov]].
''Observación'':
La primera condición se puede reemplazar por:
\[N_{t+s} \sim \text{Poisson}(\lambda t)\]
Es el [[Proceso Estocástico]] discreto asociado a $$X$$ está dado por:
\[
Y_n = X_{J_n}
\]
Donde $$J$$ da los [[Tiempos de salto]]
Se refiere a:
# [[Proceso Estocástico a tiempo discreto]]
# [[Proceso Estocástico a tiempo contínuo]]
Si no se especifica, se entiende a cual es por el contexto.
Dado un espacio de probabilidad a valores en $$S$$, un proceso estocástico a tiempo contínuo es una familia de [[Variable aleatoria]] $$(X_t)_{t\in \R^+}$$ con $$X_t:\Omega\to S$$
Alternativamente, se puede considerar como una variable aleatoria a $$S^{\R^+}$$ dotada del espacio producto.
Una sucesión $$(X_n)$$, cada elemento una [[Variable aleatoria]] a $$S$$, se le llama proceso estocástico. Cabe destacar que la indexación es numerable.
Alternativamente, se puede considerar como una variable aleatoria a $$S^\N$$ dotada del espacio producto.
Un [[Proceso Estocástico]] se le dice explosivo si su [[Tiempo de explosión]] $$t$$ cumple:
\[
\P(t<\infty) > 0
\]
Se dice que $$X$$ es un proceso minimal con cementerio $$†$$ si:
\[
\begin{aligned}
X_t &= † \iff t\geq \zeta
\end{aligned}
\]
Para $$\zeta$$ su [[Tiempo de explosión]]
La fuente del material son las cátedras del profesor Daniel Remenik, junto a su apunte asociado; además de las clases auxiliares de Pablo Araya y Tristán Radic.
<<toc-selective-expandable 'Procesos de Markov' sort[title]>>
Son problemas de optimización sobre conjuntos lineales, es decir,
\[
\text{max }c^\top x \text{ s.a. } x\in S
\]
Donde $$S$$ es un [[Conjunto Lineal Mixto]]. El apellido del conjunto lineal $$S$$ lo hereda el programa lineal.
La fuente del material son las cátedras de los profesores José Soto e Iván Rapaport, las clases auxiliares de Ian Vidal y Cristobal Beltran; además de las slides asociadas al curso.
<<toc-selective-expandable 'Programación Lineal Mixta' sort[title]>>
Una propiedad P sobre los estados se llama propiedad de clase i:
\[
i\in P, i\leftrightarrow j\implies j\in P
\]
Dependiendo el contexto, se refiere a:
# [[Propiedad de Markov débil]]
# [[Propiedad de Markov fuerte]]
# [[Propiedad de Markov continua]]
!!__Hipótesis__
Sea $$X$$ una [[Cadena de Markov a tiempo continuo]] con [[Tiempo de explosión]] $$\zeta$$, sea $$f: I^\N\to\R$$ bien comportada (medible y acotada, pero esto requiere especificar topologías) y $$\tau$$ un [[t.d.p.]]
!!__Conclusión__
\[
\E[f(X_\tau, X_{\tau+1},\ldots)|\Fel_\tau]1_{\tau<\zeta} = \E_{X_\tau}[f(X_0, X_1,\ldots)]1_{\tau<\zeta}
\]
!!__Observación__
La [[Filtración]] natural y el mismo [[t.d.p.]] tienen su definición extendida naturalmente del caso discreto.
''Hipótesis''
Sea $$X$$ una [[Cadena de Markov]], $$f:I^\N\to\R$$ medible y acotada
''Conclusión''
\[
\E(f(X_n, X_{n+1},\ldots)|\Fel_n) = \E_{X_n}(f(X_0, X_1,\ldots))
\]
''Idea''
Si estás en el paso $$n$$ y quieres saber algo del futuro, puedes imaginar que "reinicias la cadena" e imaginar que estás en el paso 0.
''Demostración''
Está en el apunte, [[Pendiente]]
''Hipótesis''
Sea $$X$$ una [[Cadena de Markov]], $$f: I^\N\to\R$$ medible y acotada, $$\tau$$ un [[t.d.p.]]
''Conclusión''
\[
\E[f(X_\tau, X_{\tau+1},\ldots)|\Fel_\tau]1_{\tau<\infty} = \E_{X_\tau}[f(X_0, X_1,\ldots)]1_{t<\infty}
\]
!!__Hipótesis__
Sea $$X$$ una [[Cadena de Markov a tiempo continuo]] y $$(P(t))_t$$ su [[Semigrupo de transición]]
!!__Conclusión__
\[
P(t+s) = P(t)P(s)
\]
!!__Idea__
Esto es una generalización a tiempo continuo de las [[Ecuaciones de Chapman-Kolmogorov]]
[[Esperanza condicional]]
* Si $$H\subseteq G$$ sub $$\sigma$$-álgebra:
\[
\E(X|H) = \E(\E(X|G)|H) = \E(\E(X|H)|G)
\]
* En particular, tomando una $$\sigma$$-álgebra trivial:
\[
\E(X) = \E(\E(X|G))
\]
* $$\E(\cdot, \mathcal{G})$$ es un operador lineal $$1-$$Lipschitz. En particular:
\[
X\geq 0\implies \E(X, \mathcal{G})\geq 0
\]
* Si $$X$$ es $$\mathcal{G}$$-medible, entonces:
\[
\E(X, \mathcal{G})=X
\]
* Si $$Y$$ es $$\mathcal{G}$$-medible, $$XY\in L^1$$, entonces \[\E(XY|\mathcal{G}) = Y\E(X|\mathcal{G})\]
* Si $$g$$ es convexa y $$g(X)\in L^1$$, entonces \[g(\E(X, \mathcal{G}))\leq \E(g(X), \mathcal{G})\]
* Si $$(X_n)$$ positivas crecen a $$X$$, entonces \[\E(X_n, \mathcal{G})\to\E(X, \mathcal{G})\]
* Si $$(B_n)_{n\in\N}\subseteq \Fel$$ es partición de $$\Omega$$:\[
\E(X|\mathcal{G}) = \sum_{n\in\N} 1_{B_n}\E(X|B_n)
\]
* \[E(X|Y=y) = \int xf_{x|y}(x|y) dx\]
!!__Hipótesis__
Sea $$\phi_\mu$$ la [[Función característica]] asociada a $$\mu$$:
!!__Conclusión__
#\[\Vert \phi\Vert \leq 1\]
# \[\phi(0) = 1\]
# $$\phi$$ es uniformemente continua
# \[\phi_\mu = \phi_\mu \implies \mu = \nu\]
!!Hipótesis
Sea $$\gamma_k^k$$ el [[Número esperado de visitas a i antes de volver a k]] y $$X$$ [[Cadena recurrente]]
!!Conclusión
Se tienen las siguientes propiedades:
# $$\gamma_k^k=1$$.
# Es [[Medida invariante discreta]]
# Es positiva y finita
# Es la única que cumple que $$\gamma_k^k=1$$.
!!!1) Trivial
!!!2)
\[
\begin{aligned}
\gamma_i^k &= \E_k\left(\sum_{n=0}^{\tau_k-1}1_{X_n=i}\right)\\
&= \E_k\left(\sum_{n\in\N}1_{X_n=i, n<\tau_k}\right)\\
&= \sum_{n\in\N} \E_k(1_{X_n=i, n<\tau_k})\\
&= \sum_{n\in\N} \P_k(X_n=i, n<\tau_k)\\
\end{aligned}
\]
Ahora, definiendo $$\overline{p}_{ki}^{(n)} := \P_k(X_n=i, n<\tau_k)$$ se tiene:
\[
\begin{aligned}
\gamma_i^k &= \sum_{n\in\N} \overline{p}_{ki}^{(n)}\\
\end{aligned}
\]
Entonces:
\[
(\gamma^kP)_\ell = \sum_{j\in\N} y_j^k p_{j\ell}
= \sum_{j\in\N} \sum_{n\in\N} \overline{p}_{kj}^{(n)}p_{j\ell}
\]
Luego, se separa en dos casos. Si $$\ell\neq k$$:
\[
\begin{aligned}
(\gamma^kP)_\ell &= \sum_{j\in\N} \sum_{n\in\N} \P_k(X_n=i, n<\tau_k)p_{j\ell}\\
&= \sum_{j\in\N} \sum_{n\in\N} \P_k(X_n=i, X_{n+1}=\ell, n<\tau_k)\\
&= \sum_{n\in\N} \sum_{j\in\N} \P_k(X_n=i, X_{n+1}=\ell, n<\tau_k)\\
\end{aligned}
\]
La segunda igualdad sale de la [[Propiedad de Markov]] ([[Ejercicio Pendiente]]: Justificar cuidadosamente). El intercambio de las series justificado por teorema de Fubini. Usando la hipótesis de que $$k\neq\ell$$, se puede hacer lo siguiente :
\[
(\gamma^kP)_\ell = \sum_{n\in\N} \sum_{j\in\N} \P_k(X_n=i, X_{n+1}=\ell, n+1<\tau_k)
\]
Luego, con las [[Ecuaciones de Chapman-Kolmogorov]] se tiene:
\[
\begin{aligned}
(\gamma^kP)_\ell &= \sum_{n\in\N} \P_k( X_{n+1}=\ell, n+1<\tau_k)\\
&= \sum_{n\geq 1} \P_k( X_{n}=\ell, n<\tau_k)\\
&= \sum_{n\geq 1} \overline{p}_{k\ell}^{(n)}\\
&= \gamma^k_\ell - \overline{p}_{k\ell}^{(0)}
\end{aligned}
\]
Pero por último:
\[
\overline{p}_{k\ell}^{(0)} = \P_k(X_0=\ell, 0<\tau_k) = 0
\]
Pues $$k\neq \ell$$. Entonces:
\[
(\gamma^kP)_\ell = \gamma^k_\ell \implies (\gamma^kP) = \gamma^k
\]
Como [[Ejercicio Pendiente]], ver el caso $$k=\ell$$.
!!!3)
Como $$X$$ es irreducible, existe $$n\geq 0$$ tal que $$p_{ik}^{(n)}>0$$. Entonces:
\[
1 = \gamma_k^k = (\gamma_k^k P^n)_k = \sum_{j}\gamma_j^{k}p_{jk}^{(n)} \geq \gamma_i^{k}p_{ik}^{(n)} >
0\]
Despejando:
\[
\gamma_i^{k} \leq \frac{1}{p_{ik}^{(n)}}<\infty
\]
El caso de positividad es similar, y queda de [[Ejercicio Pendiente]].
!!!4) [[Ejercicio Pendiente]]
!!__Hipótesis__
Sea $$X$$ [[Cadena de Markov a tiempo continuo]], $$i\in I$$
!!__Conclusión__
# $$i$$ es [[Estado recurrente]] para $$X$$ y $$q_i>0$$ ssi $$i$$ es recurrente para la cadena subyacente
# Ser [[Estado transiente]]/recurrente es [[Propiedad de clase]]
# $$i$$ es recurrente implica que $$X$$ no es [[Proceso explosivo]]
!! Hipótesis
Sea $$(X, Y)$$ un [[Coupling]]
!!Conclusión
1. $$(X, Y)\sim CM(P\otimes Q, \mu\otimes\nu)$$. Donde se define para $$i, j\in I_1, k, \ell\in I_2$$:
\[
(P\otimes Q)_{(i, k)(j, \ell)} = p_{ij}q_{k\ell}
\]
Más aún:
\[
(P\otimes Q)^{(n)} = P^{(n)}Q^{(n)}
\]
2. $$X, Y$$ son [[Cadena aperiódica]]s, entonces $$(X, Y)$$ también lo es.
3. $$X, Y$$ tienen [[Distribución invariante]] $$\pi_x, \pi_y$$ respectivamente, entonces $$(X, Y)$$ tiene distribución invariante $$\pi_x\otimes \pi_y$$
!!Demostración
!!!1.
La primera parte es [[Ejercicio Pendiente]].
Se verá el caso $$n=2$$ usando [[Ecuaciones de Chapman-Kolmogorov]]:
\[
(P\otimes Q)^{(2)}_{(i, k)(j, \ell)} = \sum_{i'\in I_1, k'\in I_2} (P\otimes Q)_{(i, k)(i', k')}(P\otimes Q)_{(i', k')(j, \ell)}
\]
Pero de la definición de $$P\otimes Q$$:
\[
\begin{aligned}
(P\otimes Q)^{(2)}_{(i, k)(j, \ell)} &= \sum_{i'\in I_1, k'\in I_2} p_{i i'}q_{kk'} p_{i'j}q_{k'\ell}\\
&= \left(\sum_{i'\in I_1} p_{i i'}p_{i'j}\right)\left(\sum_{k'\in I_2} q_{kk'} q_{k'\ell}\right)\\
\end{aligned}
\]
Por lo que se puede revertir usando de nuevo Chapman-Kolmogorov:
\[
(P\otimes Q)^{(2)}_{(i, k)(j, \ell)} = P^{(2)}_{ij}Q^{(2)}_{k\ell}
\]
Luego, esto se puede aumentar por inducción a $$n\in\N$$
!!!2.
Sean $$i, j\in I_1, k, \ell\in I_2$$. Se quiere demostrar que $$(i, k)\to (j, \ell)$$.
Sabemos por irreducibilidad que $$i\to j, k\to \ell$$, por lo cual existen $$m, n$$ tales que $$p_{ij}^{(m)}, q_{k \ell}^{(n)}>0$$.
Por aperiodicidad, existe $$N>0$$ tal que $$p_{jj}^{(w)}, q_{\ell\ell}^{(w)}>0$$ para todo $$w\geq N$$ .
Luego, sea $$R \geq N + \max\{m, n\}$$. Entonces, se tiene que:
\[
\begin{aligned}
(P\otimes Q)^{(R)}_{(i, k)(j, \ell)} &= p_{ij}^{(R)}q_{k\ell}^{(R)}\\
&\geq [p_{ij}^{(m)}p_{ij}^{(R-m)}][q_{k\ell}^{(n)}q_{k\ell}^{(R-n)}]
\end{aligned}
\]
Ya se tenía que $$p_{ij}^{(m)}, q_{k\ell}^{(m)}>0$$, pero más aún, por la elección de $$R$$ se tiene que $$\min\{R-m, R-n\}\geq N$$, por lo cual la aperiodicidad nos da que
$$p_{ij}^{(R-m)}, qq_{k\ell}^{(R-n)}>0$$. Entonces, se tiene que $$P\otimes Q$$ es irreducible.
Para ver que es además aperiódico, tomamos el caso $$i=j, k=\ell$$ en la ecuación, dando:
\[
(P\otimes Q)^{(w)}_{(i, k)(i, k)} >0
\]
Para todo $$w\geq R$$ (pues aumentar $$R$$ mantendrá la positividad).
3.
[[Ejercicio Pendiente]]
!!__Hipótesis__
Sea $$T$$ [[Operador compacto]] con $$\sigma(T)$$ el [[Espectro de operador]] y $$\sigma_p(T)$$ [[Espectro puntual]]
!!__Conclusión__
* $$\sigma(T) = \{0\}\cupdot \sigma_p(T)$$
* Se cumple siempre una de las siguientes:
** $$\sigma_p(T)$$ finito
** $$\sigma_p(T)$$ es una sucesión que converge a 0
Sea $$E$$ un evn, $$K\subseteq E$$. La proyección de $$f\in K$$ está definida por:
\[
P_kf \,:= \arg\min_{v\in K} |f-v|
\]
''Hipótesis''
Sea $$P$$ un [[Poliedro]], $$\{x_n\}\subseteq \R^n$$
''Conclusión''
\[
proy_{x_1,\ldots,x_{n-1}} P(A, b) = P(A', b')
\]
''Demostración''
Esto es [[Eliminación Fourier-Motzkin]]
!!Hipótesis
Sea $$M$$ un sev cerrado propio de un [[Espacio de Hilbert]] $$H$$
!!Conclusión
La [[Proyección]] $$P_M(\cdot)$$ es lineal contínua
!!Demostración
Por la [[Caracterización de proyección en sev]] se tiene que:
\[
\begin{aligned}
(f-P_M(f), u) &= 0\\
\lambda (g-P_M(g), u) &= 0\\
\implies (f + \lambda g - (P_M(f) + \lambda P_M(f)), u) &= 0\\
\end{aligned}
\]
Pero también se tiene que:
\[
(f + \lambda g - (P_M(f+\lambda g), u) = 0
\]
Por [[Existencia y unicidad de la proyección a un convexo]], se tiene la linealidad.
Ahora, consideremos $$u=P_M(f)\in M$$
\[
\begin{aligned}
0 &= (f-P_M(f), P_M(f))\\
&= (f, P_M(f)) - |P_M(f)|^2\\
\end{aligned}
\]
En particular:
\[
|P_M(f)| \leq ||f|
\]
Teniendo continuidad.
Sea $$S\subseteq \R^n, x\in S$$. Se dice que $$x$$ es punto extremo de $$S$$ si $$x$$ no es combinación convexa de puntos distintos, es decir, si existe $$\lambda\in[0, 1]$$ tal que:
\[
x = \lambda y + (1-\lambda)z
\]
Entonces se tiene que:
\[x=y=z\]
Dado un [[Problema controlado]], definimos los puntos accesibles desde $$x_0\in V$$ en el tiempo $$T\in I$$ como:
\[
\text{Acc}(x_0, T) := \begin{cases}\{x(T; x_0, u): u\in A\}&\text{ si } T>0 \\ \{x_0\} &\sim\end{cases}
\]
En caso de ser necesario, se usa el subíndice $$U = \bigcup_{u\in A}\text{Im}(u)$$
!!Hipótesis
Considerar los [[Puntos accesibles]] para un [[PC lineal]]
!!Conclusión
\[
\text{Acc}_U(x_0, T) = \text{Acc}_{\text{co}(U)}(x_0, T)
\]
Nivel en que un cluster contiene elementos de
una sóla clase (se usa la clase predominante)
Sea $$Q$$ una matriz indexada por $$I$$. Se dice que es $$Q$$-matriz si:
* $$q_{ij}\geq 0$$ para todo $$i\neq j$$
* $$q_{ii}\leq 0$$
* $$\sum_{j\in I}q_{ij} = 0$$ para todo $$i$$
En particular:
\[
q_i := -q_{ii} =\sum_{j\neq i} q_{ij}
\]
''Idea'': Es análogo a la [[Matriz de transición]] pero en tiempo continuo, y esta relación se da por su [[Matriz de saltos]]
Sea $$X\subseteq \R^n.$$ El número máximo de vectores afínmente independientes en $$X$$ se le llama el rango de $$X$$
''Nota'': Este número está bien definido por la estructura de matroide.
!!__Hipótesis__
Sea $$E$$ un espacio de Banach y $$F$$ un [[Espacio de Hilbert]], con $$T:E\to F$$ un [[Operador compacto]]
!!__Conclusión__
Existen $$(T_n)$$ operadores de rango finito tales que:
\[
T = \lim_{n\to\infty} T_n
\]
!!__Demostración__
Sea $$S\subseteq \R^n$$ [[Cono]] convexo.
Se dice que $$r\in S\setminus \{0\}$$ es rayo extremo si para cada par $$\lambda_1, \lambda_2\geq 0$$ tales que:
\[
r = \lambda_1 y + \lambda_2 z
\]
Se tiene que:
\[
r \parallel y \vee r\parallel z
\]
Proposición es el título.
!!Demostración
Podemos tomar la [[Medida invariante discreta]] dada por el [[Número esperado de visitas a i antes de volver a k]].
Si esta fuera finita, entonces se puede escalar a una [[Distribución invariante]]. Pero esto no es posible por el teorema de [[Existencia de estado recurrente positivo]], que nos dice que $$X$$ es [[Recurrente positivo]], que es una contradicción.
Por tanto, la medida dada es infinita.
!!Hipótesis
Sea $$X$$ la marcha aleatoria en $$Z^d$$
!!Conclusión
* Caso simétrico: Es recurrente nula si $$d\in\{0, 1\}$$, y transiente si $$d\geq 3$$.
* Caso asimétrico: Es siempre transiente.
!! Idea
El borracho puede volver a su hogar, pero un pájaro no.
!!Demostración parcial
!!!$$d=1$$
Ya se conoce bien que $$X$$ es [[Cadena irreducible]] de [[Periodo de un estado]] 2.
Uno se puede preguntar lo siguiente:
\[
\sum_{n\in \N}p_{00}^{(n)}<\infty
\]
Pues esto ya permite determinar la transiencia o recurrencia de $$X$$. Primeramente:
\[
\forall n\in\N: p_{00}^{(2n+1)} = 0
\]
Entonces, basta considerar los índices pares.
\[
p_{00}^{(2n)} = \P_0(X_{2n}=0)
\]
La única forma posible de lograr esto es que se hayan dado $$n$$ pasos a la derecha y $$n$$ pasos a la izquierda. En particular:
\[
p_{00}^{(2n)} = \begin{pmatrix}2n\\ n\end{pmatrix} p^n(1-p)^n = \frac{(2n)!}{(n!)^2}p^n(1-p)^n
\]
Luego, considerando la [[Aproximación de Stirling]] se tiene que:
\[
\frac{(2n)!}{(n!)^2} \sim \frac{\sqrt{4\pi n}\left(\frac{2n}{e}\right)^{2n}}{(2\pi n)\left(\frac{n}{e}\right)^{2n}}
= \frac{4^n}{\sqrt{\pi n}}
\]
Es decir:
\[
p_{00}^{(2n)} \sim \frac{1}{\sqrt{\pi n}}(4p(1-p))^n
\]
Cabe destacar que la parábola $$4p(1-p)$$ se maximiza en $$\left(\frac{1}{2}, 1\right)$$. Se separa en dos casos.
Si $$p\neq\frac{1}{2}$$, se tiene que $$4p(1-p)\in (0, 1)$$. Por tanto, por el criterio de cuociente, como:
\[
\sum_{n\in \N}\frac{1}{\sqrt{\pi n}}(4p(1-p))^n<\infty
\]
Se tiene también que:
\[
\sum_{n\in \N}p_{00}^{(n)} = \sum_{n\in \N}p_{00}^{(2n)}<\infty
\]
Por lo cual $$X$$ es [[Cadena transiente]]
Por otro lado, si $$p=\frac{1}{2}$$ se compara con la suma
\[
\sum_{n\in \N}\frac{1}{\sqrt{\pi n}}=\infty
\]
Por lo cual $$X$$ es [[Cadena recurrente]]. Sin embargo, $$\mu\equiv 1$$ es invariante e infinita, y por [[Existencia de estado recurrente positivo]] se tiene que $$X$$ es [[Cadena recurrente nula]]
!!!$$d=2$$
Se verá solamente el caso simétrico, pues en el asimétrico es fácil ver transiencia heredada por el caso anterior vía una proyección de la cadena.
Entonces, notar que:
\[
p_00^{2n} = |\text{caminos de 0 a 0 de largo 2n}|\frac{1}{4^{2n}}
\]
Luego, hay $$\begin{pmatrix}2n\\ r\end{pmatrix}$$ formas de tomar $$r$$ pasos a la derecha, y los que quedan son $$2n-r$$ pasos a la izquierda, que se pueden dar de $$\begin{pmatrix}2n - r\\ r\end{pmatrix}$$ formas.
Con eso, uno quedan $$n-r$$ pasos, que deben ser hacia arriba y hacia abajo, que se puede de $$\begin{pmatrix}2n-2r\\ n-r\end{pmatrix}$$ y
$$\begin{pmatrix}n-r\\ n-r\end{pmatrix} = 1$$ formas.
Luego, tomando cada $$r\leq n$$, y simplificando:
\[
\begin{aligned}
p_00^{2n} &= \sum_{r=0}^n \frac{(2n)!}{(r!)^2((n-r)!)^2}\left(\frac{1}{4}\right)^{2n}\\
&= \left(\frac{1}{4}\right)^{2n}\begin{pmatrix}2n\\ n\end{pmatrix}\sum_{r=0}^n \begin{pmatrix}n\\ r\end{pmatrix}^2\\
&= \left(\frac{1}{4}\right)^{2n}\begin{pmatrix}2n\\ n\end{pmatrix}^2
\end{aligned}
\]
De nuevo, por fórmula de Stirling:
\[
\left(\frac{1}{4}\right)^{2n}\begin{pmatrix}2n\\ n\end{pmatrix}^2 \sim \frac{1}{\pi n}
\]
Por lo cual se tiene:
\[
\sum_{n\in\N}p_00^{2n} \sim \sum_{n>0}\frac{1}{\pi n} = \infty
\]
Por lo cual $$X$$ es recurrente nula como antes.
!!!$$d=3$$:
Se hace esencialmente una versión más tediosa de lo mismo. Acá se tendrá que:
\[
p_{00}^{(2n)}\sim \frac{1}{(\pi n)^\frac{3}{2}}
\]
Pero ya se tiene que:
\[
\sum_{n>0}\frac{1}{(\pi n)^\frac{3}{2}} <\infty
\]
Pero esto significa que $$X$$ es transiente, rompiendo el patrón! En adelante, al crecer $$d$$, también se romperá el patrón, pues la suma continuará divergiendo.
Es un [[Estado recurrente]] que no es [[Recurrente positivo]].
Sea $$i$$ un [[Estado recurrente]]. Decimos que es recurrente positivo si:
\[
\E_i(\tau_i)<\infty
\]
De no ser así, es [[Recurrente nulo]]
''Observación''
En el caso continuo, por convención los estados con $$q_i=0$$ son recurrentes positivos
Un método para resolver el [[Problema de regresión]] como tal:
\[
h^{(k)} =\begin{cases}f^{(k)}(h^{(k-1)} W^{(k)} + b^{(k)}) &\text{ si } 0<k\leq \ell\\ x &\text{ si } k = 0\end{cases}
\]
$$h^{(k)}$$ es un vector de valores de la $$k$$-ésima capa de la red, $$f$$ es una [[Función de activación]], $$W$$ es una matriz de pesos y $$b$$ es un bias.
Luego, el resultado final es:
\[
\hat y = f^{(\ell)}(h^{(\ell)}W^{(\ell)}+b^{(\ell)}) = g(h^{(\ell)}U+c)
\]
Notar que $$g$$ es la última función de activación (de la capa de salida), y es la que define la unidad del output.
Intentar evitar la [[Maldición de la dimensionalidad]] a través de algoritmos de álgebra lineal, a modo de reducir el costo de tiempo y memoria de los algoritmos, mejorar la visualización de datos, y quitar [[Atributos]] irrelevantes, ruidosos, o que en general bajen la calidad de los datos.
Es una expresión de implicancia de dos [[Itemset]]s $$X, Y$$, denotada por $$X\to Y$$.
Notar que esta relación de implicancia significa co-ocurrencia y no causalidad.
{{ejemplo_regla_asoc.png}}
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
Dado $$M$$ sev de $$E$$ evn, se tiene que $$(M^\perp)^\perp = \overline M$$. Más aún, dado $$N$$ sev de $$E^*$$, se tiene que $$\overline N \subseteq (N^\perp)^\perp$$. Si $$E$$ es [[Espacio reflexivo]], se tiene igualdad.
''Demostración''
\[
M^\perp= \bigcap_{x\in M} \{f\in E^* : f(x) = 0\}
= \bigcap_{x\in M}\ker J_x
\]
Como $$J_x$$ es continuo, se tiene que $$M^\perp $$ es cerrado. Análogamente, $$(M^\perp)^\perp$$ es cerrado, ya que $$
N^\perp = \bigcap_{f\in N} \ker f$$ es cerrado. Más aún, $$(M^\perp)^\perp = \{x\in E: f(x)=0 \forall f\in M^\perp\}\supseteq M\implies (M^\perp)^\perp\supseteq \overline M$$. De igual forma se tiene $$\overline N \subseteq (N^\perp)^\perp$$.
Sea $$x\in (M^\perp)^\perp$$, suponer que $$x\notin \overline M$$, por lo que se separa $$x$$ de $$\overline M$$. Por [[Teorema de Hahn-Banach Geométrico Segunda Forma]], existen $$f\in E^*, \alpha\in\R$$ tales que $$f(y)<\alpha<f(x)\forall y\in\overline M$$. [[Pendiente]]
!!Hipótesis
Sea $$F$$ un operador, con su [[Operador adjunto]] $$F^*$$
!!Conclusión
\[
\begin{aligned}
\ker(F^*) &= Im(F)^\perp\\
\ker(F) &= Im(F^*)^\perp\\
\end{aligned}
\]
Donde se usó [[Espacio ortogonal]]
!!Demostración
\[
\begin{aligned}
y^* \in \ker(F^*) &\iff F^* y^* = 0\\
&\iff \langle F^* y^*, x\rangle = 0:\, \forall x\in X \\
&\iff \langle y^*, Fx\rangle = 0:\, \forall x\in X \\
&\iff y^*\in Im(F)^\perp
\end{aligned}
\]
Análogamente:
\[
\begin{aligned}
x \in \ker(F) &\iff Fx= 0\\
&\iff \langle y^*, Fx\rangle = 0:\, \forall y^*\in Y^* \\
&\iff \langle F^* y^*, x\rangle = 0:\, \forall y\in Y^* \\
&\iff x\in Im(F^*)^\perp
\end{aligned}
\]
!!__Hipótesis__
Sea $$F$$ un operador, con su [[Operador adjunto en Hilbert]] $$F^*$$
!!__Conclusión__
\[
\begin{aligned}
\ker(F^*) &= Im(F)^\perp\\
\ker(F) &= Im(F^*)^\perp\\
\end{aligned}
\]
Donde se usó [[Espacio ortogonal en Hilbert]]
!!__Demostración__
[[Pendiente]]
Para un espacio topológico $$X$$, se dice que $$A\subseteq X$$ es relativamente compacto si $$\overline{A}$$ es compacto.
Dado un [[Poliedro]] $$P$$, con $$I$$ las [[Desigualdad activa]]s. Entonces, se tiene que:
\[
P = \{x\in\R^n: A_I x = B_I, A_{I^C} x\leq b_{I^C}, \text{ todas irredundantes }\}
\]
Usando el concepto de [[Restricción irredundante]]
''Nota'' Como las [[Cara]]s son poliedros, esto también les da una representación minimal.
Dado un operador $$T:E\to E$$ con [[Espectro puntual]] $$\rho(T)$$, se define la resolvente como la función:
\[
\begin{aligned}
R_T: \rho(T) &\to \Lel(E)\\
\lambda&\mapsto (T-\lambda I)^{-1}
\end{aligned}
\]
Sea $$P(A, b)$$ [[Poliedro]], $$i\in [m]$$ una restricción. Decimos que $$a_i^\top x\leq b_i$$ es irredundante si:
\[
P(A, b) \neq P(A_{[m]\setminus i}, b_{[m]\setminus i})
\]
Dado un [[Poliedro]] $$P(A, b)$$, sus restricciones activas están dadas por:
\[
act(P) = \{i\in I: a^\top x\leq b_i\text{ es activa en } P\}
\]
Usando el concepto de [[Desigualdad activa]]
El material presente se basa en aquel preparado por el departamento A2IC, complementado por ciertos videos de YouTube y Ted Talks recomendados.
<<toc-selective-expandable 'Retroalimentación de Competencias Comunicativas' sort[title]>>
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
[[Mínimos cuadrados regularizados]] con $$p=2$$
Es la componenete aleatoria en una medición de [[Datos]]
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
<<toc-selective-expandable 'Semestre 7' sort[title]>>
<<toc-selective-expandable 'Semestre 8' sort[title]>>
Sea $$X$$ una [[Cadena de Markov a tiempo continuo]]. El semigrupo de transición asociado a $$X$$ es la familia de matrices $$(P(t))_{t\geq 0}$$ indexadas en $$I$$ takes que:
\[
p_{ij}(t) = \P_i(x_t=j)
\]
''Idea'': Los elementos de esta familia son análogos a la [[Matriz de transición en n pasos]]
Se dice que $$(P_t)_{t\geq 0}$$ es semigrupo markoviano si $$P(t)$$ es estocástica]] que satisface la [[Propiedad de semigrupo]] para cada $$t\geq 0$$
Sea $$Q$$ una [[Q-matriz]], y $$P$$ una solución dada por [[Ecuación backward de Kolmogorov]]. Este se llamará el semigrupo minimal asociado a $$Q$$.
Corolario de: [[Teorema de Hahn-Banach Geométrico Segunda Forma]]
!!Hipótesis
Sea $$C$$ un convexo en el evt localmente convexo $$E$$ y $$x\notin \overline{C}$$.
!!Conclusión
Existe un funcional $$f\in E^*$$ y un escalar $$\alpha>0$$ tales que:
\[
f(x) < \alpha < f(y); \forall y\in \overline{C}
\]
!!__Hipótesis__
Sea $$p$$ un punto en una [[Superficie integral]] $$S$$, y $$\gamma$$ la [[Curva característica]], tal que $$p\in \gamma$$.
!!__Conclusión__
\[
\gamma\subseteq S
\]
!!__Observaciones__
* Si dos superficies integrales tienen un punto en común, entonces tienen una característica en común.
* Si dos superficies integrales se intersectan transversalmente a lo largo de una curva $$\gamma$$, entonces esta es característica
!!__Hipótesis__
Considerar un [[PC lineal]], sea $$U$$ [[Conjunto simétrico]]
!!__Conclusión__
$$
\text{Acc}_U(x_0, T)
$$ es simétrico
Las fuentes del material presente son las cátedras del profesor Joaquín Fontbona
<<toc-selective-expandable 'Simulación Estocástica' sort[title]>>
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
!''[[Repositorio Github|https://github.com/johnny-godoy/apuntes-ingenieria]]
''
!''Apuntes''
Estos son mis apuntes en el estilo de una wiki de los cursos que estoy tomando, segmentado en pequeños pedazos llamados Tiddlers. Actualmente tiene los cursos:
* [[Semestre 7]]
<<toc-selective-expandable 'Semestre 7' sort[title]>>
* [[Semestre 8]]
<<toc-selective-expandable 'Semestre 8' sort[title]>>
!''Créditos''
Este apunte se basa en las clases de docentes de la FCFM, en particular de los departamentos DIM, DCC y A2IC. Se utiliza el material entregado en los cursos, como los apuntes y diapositivas, pero de forma reestructurada como una wiki. Las fuentes específicas de cada curso se explicitan en su Tiddler correspondiente.
Cualquier error de transcripción es de única responsabilidad mía.
Este apunte se escribe con [[TiddlyRoam|https://tiddlyroam.org/]] con el plugin [[TexZilla|http://tw5-texzilla.tiddlyspot.com/]].
!''Disponibilidad del apunte''
La matemática se escribe en MathML, por lo que está disponible en Firefox y Safari, pero navegadores basados en Chromium no lo soportan. Esto no parece tener solución fácil, pues el plugin de MathML era el único que permitía el uso de macros.
Dado un [[Problema de regresión]], se considera:
\[
\begin{aligned}
\overline{x_i} &= (x_i, 1)^\top\in\R^{M+1}\\
\overline{X} &= (\overline{x_1}^\top,\ldots, \overline{x_n}^\top)^\top\in\R^{n\times(m+1)}\\
Y &= (y_1,\ldots,y_n)^\top\in\R^n\\
\theta &= (a, b)^\top\in\R^{m+1}
\end{aligned}
\]
Entonces, el problema de regresión lineal con el criterio de mínimos cuadrados se resuelve con:
\[
\theta = (\overline X^\top \overline X)^{-1} \overline X^\top Y
\]
Sea $$P(A, b)$$ [[Forma estándar]], $$B$$ base. Un vector $$x\in\R^n$$ básico es uno que se anula fuera de $$B$$.
Es una [[Solución básica]] no negativa.
''Obs'': Para cada conjunto de [[Columnas base]], hay a lo más 1 SBF.
''Hipótesis''
Sea $$(L)$$ un PL factible y acotado en la dirección de optimización.
''Conclusión''
$$(L)$$ alcanza su óptimo en un
punto del poliedro factible (y si el poliedro asociado tiene vértices, su óptimo está en un vértice).
''Hipótesis''
Sea $$(M)$$ un PLM factible y acotado en la dirección de optimización, con formulación racional.
''Conclusión''
$$(M)$$ alcanza su óptimo en un
punto racional.
Dado un problema de Cauchy, una solución maximal es $$(x, J)$$ tal que:
# \[x(t) = x_0 + \int_{t_0}^t f(s, x(s))\, ds\]
# $$J\subseteq I$$ es un intervalo maximal en el sentido que para cualquier solución $$(x^*, J^*)$$ se tiene que $$J^*\subseteq J$$
# $$x$$ es absolutamente continua en $$J$$, en particular, tiene derivada ctp.
!!__Hipótesis__
Sea $$(P)$$ un [[Programa lineal]] dado por un [[Poliedro puntiagudo]]
!!__Conclusión__
# Si $$(P)$$ tiene soluciones óptimas, entonces alguna de ellas es [[Punto extremo]]
# Si $$(P)$$ es no acotado, existe un [[Rayo extremo]] $$r\in P(A, 0)$$ tal que $$c^\top r> 0$$.
!!__Idea__
Algorítmicamente, la primera parte significa que podemos encontrar soluciones mirando solamente los puntos extremos, conjunto que puede ser finito. La segunda nos da una garantía de acotamiento o no acotamiento.
Sea $$m_i$$ un centroide de $$C_i$$. El error (sum squared errors) está dado por:
\[
\sum_{i=1}^K\sum_{x\in C_i} \text{dist}(m_i, x)
\]
Es decir, por cada punto, error es la distancia al cluster más
cercano. Notar que la sumatoria interna es una medida de error de cada cluster, por lo cual mide que tan bueno es cada cluster individualmente.
!!__Hipótesis__
$$(K, \tau)$$ un Hausdorff compacto y el Banach $$C(K, \R)$$ con la norma del supremo, $$A\subseteq C(K, \R)$$ un [[Álgebra]]
!!__Conclusión__
$$A$$ es denso ssi es [[Álgebra totalmente separante]]
!!__Idea__
Nos permite aproximar funciones
continuas por subconjuntos de fácil manejo, como polinomios,
trigonométricas, etc.
!!__Nota__
Si $$A$$ es solamente [[Álgebra separante]], entonces su adherencia es la subálgebra formada por todas las funciones continuas que se anulan en un punto dado $$x_0\in K$$
!!Hipótesis
Sea $$E^{**}$$ un [[Espacio reflexivo]] de Banach, y $$V$$ un sev cerrado
!!Conclusión
$$V$$ es reflexivo
!!Demostración
Como $$V$$ es convexo, y [[La clausura de un convexo es igual para topologías débil/fuerte]], se tiene que es débilmente cerrado.
Más aún, hay dos topologías que considerar, la traza de la [[Topología débil]] $$\sigma(E, E^*)_V$$, o la topología $$\sigma(V, V^*)$$. Veremos que estas dos son iguales.
Primero, vemos una base de vecindades de la traza:
\[
\{x\in V: |\langle f_i, x \rangle | <\epsilon, f_i\in E^*\}
\]
Y una base de $$\sigma(V, V^*)$$:
\[
\{x\in V: |\langle g_i, x \rangle | <\epsilon, g_i\in V^*\}
\]
Es rápido ver que $$f\in E^{*}\implies f|_V\in V^* $$, por lo cual se tiene que $$\sigma(E, E^*)_V \subseteq \sigma(V, V^*)$$
Ahora, sea $$g\in V^*$$. Por [[Teorema de Hahn-Banach Analítico]], se tiene que existe $$f\in E^*$$ tal que $$g = f|_V$$, y así, $$\sigma(E, E^*)_V \supseteq \sigma(V, V^*)$$.
Entonces, se tiene que las topologías son iguales. Así, como $$B_V$$ es compacta con respecto a $$\sigma(E, E^*)_V =\sigma(V, V^*)$$, se tiene por la [[Caracterización de reflexividad]] que $$V$$ es reflexivo.
!!Hipótesis
Sea $$E$$ un [[Espacio separable]], $$V\subseteq E$$
!!Conclusión
$$V$$ es separable c/r la topología traza
!!Demostración
[[Ejercicio Pendiente]]
!!Hipótesis
Sea $$x_n$$ sucesión acotada en un [[Espacio reflexivo]] $$E$$
!!Conclusión
$$x_n$$ tiene una subsuceción [[Débilmente convergente]]
!!Demostración
Como $$E$$ es reflexivo, se tiene por [[Caracterización de reflexividad]] que $$B_E$$ es débilemente compacta.
Entonces, considerar $$V = \overline{\langle (x_n)\rangle}$$, que es un subespacio cerrado de $$E$$. En particular, como [[Subespacio cerrado de Banach reflexivo es reflexivo]], se tiene que $$V$$ lo es, y además es [[Espacio separable]] tomando $$V_\mathbb{Q}$$.
Luego, como [[Espacio es separable y reflexivo ssi su dual lo es]], se tiene que $$V^*$$ es reflexivo y separable.
De esto $$V\cap \{\Vert x\Vert \leq C\}$$ es metrizable por [[Caracterización de dual separable]] y compacto por [[Caracterización de reflexividad]], por lo cual se tiene la sucesión débilmente convergente.
!!Hipótesis
Sea $$(f_n)\subseteq E^*$$ una sucesión acotada, con $$E$$ un [[Espacio separable]].
!!Conclusión
Existe subsucesión de $$(f_n)$$ [[Débilmente convergente]].
!!Demostración
Por [[Teorema de Banach-Alaoglu]] se tiene que $$B_{E^*}$$ es débilmente compacta, y por [[Caracterización de Banach separable]] se tiene que es metrizable, por lo cual se tiene convergencia débil.
Sean $$(E_n)\subseteq H$$ cerrados en el [[Espacio de Hilbert]] $$H$$. Se dice que:
\[
H = \bigoplus_{n\in\N} E_n
\]
Si es que:
# $$E_n$$ son ortogonales de a par, es decir:\[m\neq n\implies \forall u\in E_n, v\in E_m:\, (u, v)=0\]
# \[\overline{\left\langle \bigcup_{n\in\N} E_n\right\rangle}= H\]
Es el grafo de la solución de una [[Ecuación quasilineal]]. Se interpreta geométricamente como objeto de $$\R^3$$.
Para una [[Regla de asociación]] $$X\toY$$ su soporte es la fracción de las transacciones que contienen a ambos [[Itemset]], y está dado por:
\[
s(X\to Y) = \frac{\sigma(X\cup Y)}{|T|}
\]
Donde $$\sigma$$ denota el [[Itemset support count]]
Dado un conjunto de [[Datos]] de entrenamiento $$D = \{x_i\}$$ con clases $$t = \{-1, 1\}$$, tal que sea linealmente separable, es decir, el siguiente conjunto no es vacío:
\[
H := \{(w, b): (w^\top x_i + b)t_i \geq 1\forall x_i\in D\}
\]
Entonces SVM resuelve el siguiente problema de optimización:
\[
\max_{w, b\in H}\, \frac{1}{\Vert w\Vert}
\]
A través de su [[Problema langrangeano dual]]:
\[
\begin{aligned}
&\max_{\alpha} \sum \alpha - \frac{1}{2}\sum_{i, j = 1}^N \alpha_i\alpha_j y_iy_j \langle x_i, x_j\rangle\\
&\text{s.a. } \langle \alpha, y\rangle = 0\\
&\alpha_i \geq 0
\end{aligned}
\]
Dado un óptimo $$\alpha$$, se llaman vectores soporte aquellos que anulan $$\alpha$$ por [[Holgura complementaria]]
Es una corrección de [[SVM de margen duro]] que maximiza el margen real, es decir, el siguiente problema de optimización:
\[
\begin{aligned}
&\max_{w, b, \xi}\, \frac{1}{\Vert w\Vert} + c\sum_{i=1}^N\xi_i\\
&\text{s.a. } y_i(w^\top x_i + b)\leq 1 - \xi_i\\
& \xi_i \geq 0
\end{aligned}
\]
A través de su [[Problema langrangeano dual]]:
\[
\begin{aligned}
&\max_{\alpha} \sum \alpha - \frac{1}{2}\sum_{i, j = 1}^N \alpha_i\alpha_j y_iy_j \langle x_i, x_j\rangle\\
&\text{s.a. } \langle \alpha, y\rangle = 0\\
& 0\leq \alpha_i \leq c
\end{aligned}
\]
Donde $$c$$ juega un rol similar al de regularización.
Sea $$(\Omega, \Fel, \P, (\Fel_n))$$ un espacio de probabilidad filtrado. Decimos que $$\tau:\Omega \to \N\cup\{\infty\}$$ es un tiempo de parada (t.d.p.) si
\[
\forall n\geq 0, \{\tau\leq n\}\in\Fel_n
\]
Dado 2 variables categóricas, una tabla de contigencia contiene las frecuencias marginales de todos los pares de valores posibles.
Dada una [[Regla de asociación]] $$X\to Y$$ en un set de transacciones $$T$$, se crea una matriz $$f$$ como tal:
||!$$Y$$ |!$$Y^C$$ |!T|
|!$$X$$ |$$\sigma(X\cup Y)$$ |$$\sigma(X\cup Y^C)$$ |$$\sigma(X)$$ |
|!$$X^C$$ |$$\sigma(X^C\cup Y)$$ |$$\sigma(X^C\cup Y^C)$$ |$$\sigma(X^C)$$ |
|!T|$$\sigma(Y)$$ |$$\sigma(Y^C)$$|$$|T|$$ |
Donde $$\sigma$$ es el [[Itemset support count]].
A las entradas se las tiende anotar:
||!$$Y$$ |!$$Y^C$$ |!T|
|!$$X$$ |$$f_{11}$$ |$$f_{10}$$ |$$f_{1+}$$ |
|!$$X^C$$ |$$f_{01}$$ |$$f_{00}$$|$$f_{0+}$$ |
|!T|$$f_{+1}$$ |$$f_{+0}$$|$$N$$ |
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ODPUVhHw5aNd2e6r00rGrL5HYKXDCc/7EmbW8n/7b//ty9NR8QX3JKDcaVYm2hKfnsTygUrbgj3NlYOGA5ej5EysAqxKOAIPJmiDfDSe97znLecYzoyU13aBs3HW4Wku9DgsB/Ae9e08S3Bmwtl66MFqTxp85W1ztTLhTDxS/epXv3rhpfZYKaHtfMaWmbLCHvawh+sLjHlgfJ+JM0GEMWOcfRqFgeFIfKrElouPF/pCr9kyg24FMpnIoDKaXp5jIM2AvQfh8P1X/spfuRhB9JXNODGUnJbZuVXMZ37mZy6H7z678lVf9VXLoT1atrLMlN/xjncseLbfbBNVr3Cc9k5Q9qTORFn8c3zOMpwv2RJ0AM/heXjBE159o4ucvVviXMVTWxyO90WsQMhfPoPvDMNBvLZafaDhXMgTXlYanIXDd3SsgsjL+yoMv3MXDyT4/A35+2Kz8r2bwpHYGrOC4oTIVP9wLt6TsSL0OLh0K8X5RNke9rCH6wumHT9TZ2JG6i11KwQzfwfFgm0lhoyRY8Q5jYwLJlyjwVHYhkHD019WNB6DZcQYP7PnVhHVqYxtlt/5O3/ngs/4MXKciK0YDgw/6hczpgyumXqNR+8ynAk8DpEz8SiwdnoKzcqDI2HgbWFxOHC11xaUdI6S0bYSsW1Ve/Bjy8uLi9rrXMT2WQ5Fni0thr76OCh4VjLok52XHK0IyZWDsfJATxoZexRYP3FWHAn+nfnA9Y02KxN1tSpK1nvYwx6uH8jWZZODq87EzPU4xpWRYzCUmeUQnzPS8qUrE1R+QrgxOemW3rXy6nENV1440oUMmnTXjHhQmeNC9c3f9pa+LcDFCzognqUXSofnnvNwfuFJqcrX5vABufgiQHjhBKUB8aSRrGaIr4AcnZWI5VlBcfgO/gO8rft2D3vYw/UB2YPsB5B21ZnYisqA7MPhgfAYSk9YXbly5eOcyT7swz7sw/UegpnGJn6cMzlotbCHn/gplJk4IDwrk5wJB9MKYg972MMerndgCx1dsHuA7VucyV3ucpfFmUBoW2MffiJwFraA2hoTW5nc7na3W96vCEdYl92HfdiHfbheQvavOJ/h3svgV+5xj3ssB/AyDyJwWw/TUXTNmTgz8QSV9L3s9mEf9uG2ELKFOZOcy+Me97jNFd+q6t0ASHv4eJgCcw0IzsqkbS5bYXvZ7WEPe7gtAFvHFmb3hOUc2U+oPMJrq0vwuOg+/ESwaiMXDtdju/4d79Fgf4L0KRQ4e7ntwz7sw201sIm+wnHFh/+cm/gzonDHO95xH0bgbO985ztfvfc74tvf/vZLWnITzzL7sA/7sA/XY8hHeFncy9ZegnZv2/+KRC/6+crvPvzk4IU8L+d179r/Q3yp2DfIvCzo67+zzD7swz7sw/UY2DpfvvBSdLbR/bIyucMd7nD1zGQPPxmcl3Rm0l6hH0k5M/E5FPuGe9ntYQ97uC0AW8gOitm+7m39L++Z+L7SZRrEDHXg2rsdpYkvk79Zv7g34Hua67i81V5xjkp77T/y9v4L4jM0AZw6rbpcF6/rl1Z+EI2AU5y0DqLRAwfxOCH60te0J6zLBbN+EL3qiif35U0IJ3DdoeAsP+NtAb4wQflCed13PXmFU1u6X+OG75P+Pt1vtuezNz6345M6ytQHEyq/hz1cNKSzdDPdBif+NtdZgnqnEQAYNsD6zLn0XRk8eDnpt7lA7UVHzIl4+cdXgX3M0Vd6fTiTUZEPnyx89NJBl4cA4FpNMkCcjljgjOD5RladLrhWh7riwTfOoo+X9QrLtTLKwpUP4AP50UY35+9+XTfcGaRnQH2yXlv8rEueOuMr+YgrF0S3euDQFzLyvTE/+aLXPkOD9/CUAd0L6vD9NmWUxY8vM/uMjXrwJB999/B94dmDF76yTO7u1SPftQ+Y2hKQ39egpyySmWvfTvPxUr9w8E8Y36nDuzJCEP/o1KY97OEiIZ1LD4OdcCaB7zwZvAaYQWuAMTQG8S4BIZ7GmSgPMixAG33+3deWGRUgn0wYSV/w9TFGOL7M7AUh/x956UtfuhgfL0/6l4j/wPgCsH1MRgh9vHEuZrrAfYZsKgNYOxS4HEmOR94sE/0J+g5+6XDUlWHMgPr7I/k5f/KnRh+VlF89E9KLWRecAr610XfJfPzTP/5vvfXW5bfC6MpTFt6koy5pdM1Pvqw4fTn58z//85ePYnIsypL/d37ndy4ftdQ2bXRWpj985drZmf3k6Fpd+s++7VB7yXDRqX4yDFcsaAcc/e9r2P5TM795BvCrvHgPe7gMSG/p67QFO7MyMcgYTjNDn55/05vetAxEsY9Qrhm/TMDLaZxJUJu03bYGB6G9thxBBkbMEfh4I2P2+te/fvNJn/RJm3e/+93LjJgjEszsGT1bb095ylOWFQ5QR8ZLnKEXMqbSXUtbQ7jhBNLwhd4EOHCDyk86jLH+9tVpbfZnTV9FzgGuaSQr8UEgnZG12iELv0XgmP2jhWMhF+XVD7eQYSdHv1DwpJ5yvoyMN/ww8H5hgBbZ6h/lODgfufTjMP/I50DIAz2fmrBi9FuEm266afkLqP5Lxul77RHXPjT8X58z8kVtaf3fJv7h7mEPlwF0EKz1cKecif9gMJYGnk/J+7/Ga17zmquzwcvibw2EeFJnUlvFBfT8vMoM9yu/8iuX7RFpDE+/4c3Q2HqB4wk8/2yRD69VB2NKdmbkZuY+499WjfLqmwrgWogPgD803ZO7UHmxvNrgujyGt+va5h7/4QquledQxLb0/GPeZ+2no5t0wPq6/MB9/PhUP2drtXbjjTcu/8PnFMAsq37ptrXI1SOOL3vZy5bfFqAD8G9r0af4+xtmdQn+he/nZJxJ7QMcAAdJj+XpG+3LYaIb/gx48m99jsu4dF+ZwLX06trDHi4K0jk62BgBO7PNhSmDz36/YIXy0Ic+dJmdGcgZpF0AQjyNM9FW8Szj3yH3ve99l5lsf4yExwAxOO4FsnGucsMNN2ze+973Xp3tMlJArC8ZIj+08h8SDqfy1VvdYvVMpUDPPXz0yL7y0uVnBBm0+IMrP/pr/HCluUbXtX/RPOtZz7q6zRVvYNJapyu7TgfSPMBgNWGr6n73u9+y9WWloIxQGbj+HmnC4vF4zsQPxOifvHCsdpyPOH9xj/9o+dWxbTEOI9BObbF1Ro/x07lJ7QZoCZMvZW1zeVKQ7s88uMV7Z7KHy4A5dtJjsDPOpLobOGaKD3zgA69uKzSAdgHwcdptrjpCOcHKhNEzm25LpvbWdmmcjp9U3ete91r+ZMm4JbNwGT18+RWw85T5DxTOKQdlNWPVwolnmHIccDkhZwlm7vDjQQxXUBae7R7bQuHCE4eXARXUq0xbQgz+M5/5zOXf8uoNT7nAffUCcXiTn64Zb2cP/kzpt8f+FtnKobYEzjrkOWfymLyVBmcSLtmQGZ7F2qw91fmqV71qWZn4aRm6gnxtsWXrpWA/K1Mev/K0XdnaoI7pHKxMXvGKVyxnhiB+J/+zDXvYw0VBOkr/6G6wUwfwEzgT2xMGlNnZLvFGiKc9gM+AiN2bNZvB+lula7N8+SAcwJnYjvFxTttDnAnjwsABRsofFB0IP+EJT1h+DdyBOLoMnsDBOCfol75t3TB4DrFttXlM1d8U4XB26GinkJFFxyE1w21ryQyfA+Kk5KMpwJeGX+cA9A0/6tJmvxH2F0cGWLmcTxAdYS1r99KTqXvG2xafl6k4K47VKoGc4OYMxPMlLGOBc6B/aGlzsvLJITicZjxoF/znP//5yyF7fMsX/O3TP/eVtTKRp81kRg7JtXZV1gMJtug4NffkIlZfMtrDHi4D6CFozAU7tc1loDSo8GOv+bWvfe0yO9ulwYPHkzoT7WRU6wgxcBZy73vfe/OWt7xlebQVvXA4CLIBnImtMFtifq/LOMOtUxkth8HOIMyKGTcG1KPE9vw9qfTwhz982dJhXG3pOF9h0MlYXeg7q+KIGPzOHszy8YQXdTKKnjCzPcX5MHwvf/nLl3/5c0Br+MhHPrL80tnTZp6MYuw5xM/7vM9bVg7+2Z9hnaAuQb3pyFFgtcG52TJkuBl0ZyE9cYWO9nIaJivkyqE4gPdEXPzjh4P8wi/8wuWprFe/+tULfs7bSsxKxj/xlZ+gT6y2ODL9YquMzDyl9bCHPWyZLHH6znPUA5/Tx58+VKe6tXfqjABnD3u4DEj30sdgp7a5MIZBgQEwU7dNw5kwirsC+DvtmQlDho57BoTRcA5i68q5SDPROsy1MoyjdxF8D+eVr3zlcsDrUFgwA2fsOAjXHeQrz1iZXTPknJYnvRh/Bt2/5z39hD5HoE1m1ByVcmbPnAlHMJ+sY/w/93M/d3FSZt0Mq3cqOCdpjCe+GW4rFw7KqsoZBdpm/N4zkf7EJz5x+c89WYDqEAdorYP8gvugVRUnbbXliaunPvWpmw9+8IMLHtp0ysMetlE5USsU31vjHOgcvuHZ2uLgOWJy4EzkAfnzAH7y4ZozsV3rnSF0PHHHAftAKGePFv7IvvYKHBrH/LGPfewqv9LxnENVZrZ5D3u4CJj6TS+DndrmapDgo9kkQ2NWXd4uAD5Os80FVycwBmacDMpb3/rWZW+fQWKUGVU40YXLwTDsHcBzCIwNp8Ag2r4y+/fC2xvf+MbN29/+9mVloSxgiBg3zsTqw3sejDpDqf8ZeQbToX3nVHgg+ze/+c2LIeVkABlwRJw9hwYHvvZ81md91uLQ9CE8aVYFL3nJSxanpx0BI87xPOlJT1ocmrwMprqnsk5QF9oF98lK7PyDMyEvNDlpbXMQz/GRL+P+0Y9+dHFo6nHO4kvQtq3wLi3arj0kYLWgvyZfnAlnZZsrPgRlcyb6Bi+cChm6n48Gh9/1+973voXuu971rmU7jEzkq/co2exhD+cJ9BOkj8HObnMxZpwJY93KpMF22YCPs3AmZu6MitWAGb6ns+zHJ4scCHzXZGCmbdvJATx8NOBHM9lxwt7T4VCchwB8O5cgV7Nis2RlpDNszloYPi9AMoxWMhwNY2s1ZCXEyNVWZyO2kqw69JHVFT1idF/0ohctjhHPypMXI83x1Sb1aqcHCqwapjMR8JYs4BcC5YXSypdmy4mjYMDR8FCCQ358ybPiwqttr2Quvae5OJNoicnfE1YMfM6k+jgYzsQ5DYArX1mO4/73v/+yIuLk3/CGNyzX2gfCQwdEkwMhF/XZgrTia2sNfnXsYQ8XDekqPZw6uBPORL0GF+ZikEG0zcVYG+QNpF0APJ7GmQBG05bV137t1y6Ht4wGA86oR4sczJ7F0sSMjG0pZyYMe09qCQxM185DHvGIRyyPBzfzlu+swn697R2OCB+MNcfC2NnH91a9LSe4VhL2+xlA77WYWaNFBnhlWDkmqyVba5yVl/s8KstRMtqczc0337yseGy9xScaYuWcmdj+6YAcjuC6VRo+xRNqbyGaVhnOIji86NkC9DLgO9/5zmV14n0cfWDlhK5zEu/veKudc0QHKK/uViZWytIK0mxzqVMZbYYP1OEz3VZ2Xob0lNY73vGOZWsL5DTjP9l6Oo7snRnix5ZiZeRrj7LxuIc9XBTMcTHH405tc4EGqINRMzrbKHjbJcDfaZ1JhpJB0D7nEWgywPIm6LCMvlk0B+RpLjFjCT+cDJIZsZUJh8xxMPzwHLx/8id/8rIKkQbwwZko47D4Pe95z8cZLnicFkMffbTQsKVlxWEVE7zwhS9cjKsDe1t2ziIe85jHLG+YO+ie7UOfcbfNxQFynoxxhlI+cJ8MJsgXpvzdWzHZ8sN3OByiT9BwdJyyrS/yjDZn4q+jnClnUrn49aCAFZ+JzhxEVnIO4G2t4QM95QCZkjdHaRvR6s7DER5uiOfa2b1rDtbhvDMmbZYnjqe1HPawh4uCqadzHOzMyoShwphrg9dg7qU7vMnblQFEiCd1JvAyCmbcjJhgW8Vqw+rArBRehsN1gfOw7eFzKlYKHXILyQ89qxaOwdmKraryzHbJleEzI69+17apvIXPsZmxS8ersgKnYssMHemMolUVp+LsgxPAL6PrANknSfoQ4mMf+9jl3EQdygNGF13O62lPe9ryVBiZzDarJ3kVAtfKz7TA9hUnaltQO9DiQKwi/F7UU2RWLpxmssGnMxN8Wn0A6fLBc5/73OVQnHMsDXh83TZljwbHj2tbd/pBuzlKTs42mkeh9aW2gdor4Nd2HD5s1UkLB9TuPezhMuAwPdwZZ5LRco1Jg9mWi8E7Z4m7APg4zcqkdmgvw8HomLHbDjFLd2hOHmgK4cCHZ5uEk5jbXECsHEfBYPkmFEPnkJ2DluetcCu+VibSBbQ5JuUE+erFq7rlocuQoqNeRtks3jak8hwBJ8SwWp1wDgy6J6vM3qXZPlMeiPHmYQHfJTN7Vyda8hhfBh4/DtPxEGgrPPwlJ/fJCb6ViDOa8Dg88rViQ9NTc+qo/c54/PCMIbd9F6CtvFWYhxC0tzqVJWNnJlaV6CRTwcrES4vyrNI4YzJwfuOFXNt+eAbw2yLrpcUeUY6HYjjJcQ97uEigg4Ae0vdgp7a5DDSO48Mf/vDyFIv9a3vcDn/N0Gx97QIQ4mlWJhm3aXg4CSsTxo5BlpfhYGzIRvsZIkbNI6y2l5xX2M5xLuHJLk8PWc159NRhrxk6I2YW7IDYHrxVje0a+/netmfAM05wbEd5wsrMnTFulu+8xHYWfvFjL189nBr9sY1jds45cDLq51A4R3Rt2Xg0GS1G1ITBTJ3R9A4HeurM+XEenJ8HBtbbnckmcM2ZcZDoa5/VkVUWvvGLptWS1QkZMdzK4MW5kCfq/KLZRzKdAWm31Yz+sC3l8WXbZFY1trpskZE9w++cSN8pw2npT/2BbytB7w+RASeM1i233LK8R0UmnJi2kr+y2sLZ5Ey0lQ5IL9CPOZD3sIeLgmxdehjsjDNRt8FpoHkCyWGpAWUv2uGlPWSGZheAEE/jTBg1hkOc02C07K1zop5ACheemIHVfo+2Oo9g1Oy/M0a2vQRnAIwkh+HAlqNQ1hYig86wO+jnjPDtqTAz8Lbb4oXxdR7jm1kO1G2N9QKjfHj4MvvndDwQ4HzECoQx5SA8icQpWeHAx4OtHqsPW3mdacjXBjN7fGkDQ6yMVQNDSwfwbZVyGMDnHMjJy5xWtLbbOI62DvFMziYmgq09fYlnExbOuVWVLxlzzIy5evGIHuepjzhv79zQS488c1ycqDMpfHO6HL/vdukvKzN5tt20XZs8HUbPnRXpK1Cfy8N7W2r6KH0R8L2HPVwG0FGws84EU9NQgQbWrg2c0zgTUDvRcc1IONcwU/WYsKevJsBjTITkNGkA960wpBWC7pUxy42GtOKMa/iMs62gWe+E6mI8GckeNYbPeQhoRF+eMmbfnRdIY+gZX++9kMWsRzl0GFxyWfMQwNN+qzDty/BKX9OMn9LwIwBptVWsLFyAj2QnTV1wgPvqk65t8KoDJK/Ki9EkPzID0tThfMaHHjkz5YD+wY8Af9Lewx4uCtK7dD7YmTOTBm0D2AAqnum7APg5zcokg1T7XJuNe2TXqsy2i7TZUe5Lm4ZEjB+hNNdoJ6/y1KVu98WVAdESd62+eT/LoN+96/ha48ub6WgyopWtb/GHxuxz1xySz9NzuEHlolFaAUTXfbxG03VQGWkcUmXCD6IjdC9fDOAnV+Baew6ray2D6nLvvRsrT1ub4YvVPeWzhz1cNNBDsNbBxZnc6U53WpxJCnsZEGMGioCPOYgKlwX4EAA+/JHvdre73bJ9Udo2AC9jpZ2u0TUr98dBZwqegJJeRyWbeFAOoFGY4D5Zwi9f7B7M9G0B/iwz78XRDuJ1pruubcrULjHDa4VQnuCsw1abQ2/nCpNWOEL36Q6ofhBeaeoA1T/zxHisbyaEF1QXWOe5XpcvDe6su3vOTJq/adKtuf0FKiM0Kdk1wNu6bUFpQOz+EwHwSjemfoF5HWiTfpRX2CWgN/oHX3h1f1xQPnkIwAT7ird+L9uZAPWveagzMC9cBsz6u/Ykk5WJJ3Imv0cB3BRSW6PrYNa5gMdBnSO0PVSZ5CKufAGULqDnvjLhXDSoN14mX+LJt2sx493MHr57j+6SR++DzLa4nvdA2Wiu812XL4BwxehXBx4nn2cF6GkXx9m9a/Wqj/P0kIDvmzmPcQYUf+EX4F8GJD88HATxG07BfXpQ2eJdhckv/te8yxfKF5fede0WLgviAYhrC707Ll+VFVwLwAT7in84eDqlxMuGOkCoQzB+WZ0RP/GCj8c97nHLY6S2uaaCHQW1pVlv92bkHh/1vS3vj/QkUaBOoform5wENIXyg215O2uY/OFryqm02iUPiJMPRSeX3nkJ0BAmvQnSZ/tBvEz8aEgXq0+94a5pnAWgXbuib7uL0/A0HB3w6LeHI/ryQ/zFe7zNtlwkTH6SVXKcfM37cOrribfLkI4G6zbJg1N6bZsgbU3nogEP9C7AT1u6tWdbOKj/3JtgX7nLXe6yvDSnsZfVwdUrruHCumMuA6ZM4s9joh7PtTLRKdK2BTQ6TAXa2LVDbI+peiLJDBXAZ3wYFtfw6yvXh9Utv3AZMPkM4kd7ycCsXGhbAP6UpzR0hMrW5tLC61pe18C1tFlGcK2ug/Qef9LPGtQZD7Ne21m28zyV50kxDlSfAzi1qXK7MDbii6war3irfdKFKffA/UFy3zXAXzyKtVGbas/k37U2CRPCm7gXDclbDBp78Zx+HQXhhysWyMX7W1f84c/hZkQvGmKmhu4aTLmIfdfJG91XrlxZDknbstgW6gi0BO2moIF76ROvNMaPrOrEcNYgHd9w8afsRQOe8RDUBvFhEN9wXIc709Y0XEubOAXpGbSZRi5B6QEa0TkPqL747r60roH7yT8I7zJh8noQ6IuZ53rdhsPK7hKQfTqM32u1OQiv6+7nGL9o0IYmpNu0YRvQnwJA0znfFW/oWmLX8MuABI652RE6wMBfK+dFQnLBWwPb9514Yu8cSPM4aHwfBfC0CZ3oNktopiy0EhEqlzxKA9GjLPLLq6z8iX+RMHmZfQvKk67dAv7jV1wZ96VVDpRGXslzQuUOKrOWlfKThmt0zxLQjj6oXv1HB2Z9+IvHWWZXAE/1UfJ3X2jiE87U+U8USPbC5L32aGN5+ooctFeedGnyQGUvGtKj+qVr9sXZLHC/LX/haStagXffrvi8xvrdhssADcJgHVKazjhOY88a1FtIaXxLyorOm834TXm2AXi1c4baL+4aNCBn/fLm4Cw9vMpHb1vezhpqazzEG17jyT3+4zecQgO2EFROPPO6nyAt+lNm4kmnED3XZwnRD7qv/cXxJwRrXmfeRcLksRCvgvvwug8H3+WLo7OrgOd1v4Dakx53X/tcgyZJs90XDfie/RWfeOdQWq1sC7VFPMv51fQVX0r1PLtKLqvBNVA8ry+Lnwl1Qtc6oUeDvcF8nAEBr3aJ0eIUxFYWHoTwGQ4HsX2JV55Zq7hyylTOfTBlmBJJ25a/swb14rP68eI+mdU2aeUL0sM5zJnI187SxMpFowDEySN5RS95BXDgl3+WgK664q16gLj8gvvyhJkuvgyIh3gq1B7gHpCl/otX8ZSv63B3EehTY6w218512swTtK0x6v6yIL6MM++z+aqEczm2ph/F1Y5tYI3nXvB9veWlRZ/VuKxGY2R6b43zdIu3qr1bwMhq7GVCAgP45Ew8GsyZHEduaITvWrsonG0ynxvxB0SrHf8J1+GBR2Q93eUTHt6KhuvbVh7p5nS86CiWD883quKpui4Dam/1G2D6170lNoX2+Rb/AukN+mRSufgX1yYwjZIAn5xs2XqghJwEE6V+8kVG3uNxrT71RLc6MgJkOD8ueVZQHUK8S9Pu2iTWHmnyi+UJXV8WkA/ZkCfb4Zt6ZE62dJF8BWn62L/v8atNymof0I5dhvoJzx7f1zbfq6NX4nTLuGsMkoUAR7uVvex2qp+NwbPPJPlckCcGTVr1iTYeh0e4hXTy6hvwvWl7GaBeDcKQpwx0jieZfEDQN6EoK8U1oC4LUqrAeYnPlfsOFv5n3jbQgErm2ucdkz52OAGOGYVva/mm0+Mf//hlSelnTb5+64OKPmzow4A+weFbWfNHW3NmeFyIv21h4rsWaqeAD0Ff07nXve51y4zGtqFvYfm0iLxZHiiTcQ1cz3xlPQXlm2C+8+Xji7feeuvyTS3f3fIYt9h3uzw44fPwvjeWc0Ojga8/fL/LhyaP27dHQfUE2pX+q7vrwLU0eXhRXuhM7aRwmrIcse+xebFS39WH9Ffa61//+kUnfZvMt/X8aI2jn7og7IKhPQrIX3tN7rTr2c9+9tXx54Omnug07nybTez3Aj7+6RcNdNoLyWetQ8cFbaAzAefX1657l+k4oD1oTro78zkVzJmp+pKt5+x9XNBs1YcEfaeIJ+1cRwMYyAaYoEHnzX/01d/nVCgSOG7d+EVHuwXfqtIZ3jPR0eUFrjkHHx3kPPzH3VdqzYQYPjMgMRnhibIzqgxlHS6egOY6DZBreW0xBZOvaQALLZmllwdPmnKCNHmMIZ59j8yXen2c0ipUPghv1nEtgIc+o+XT7wa7frLy8dKjmSU5Wbl5h8OHFH2k0aPY+AbV4SOUfk7lsyb0UBtqB4DnXlzbKtu1/JwGnPJBvFZekFZebQ5cS5uTEPfRnfdB6YG82iDkRKVN/rcBZWyRkKmPcz7hCU9Y/m1DP6XpAzFnLZ9T95FMqxRlgfrUO+sWzzYkw9Inj6XNXQ3BdVBaUH0T5yiAiwe6SX98xFR7fIiWg9FOwQun9NmE5nu/93uXp5vYL+M5PuI1kDbbi7cpn9nfoLLiaMqPbvIC5Xc964XHPvgqu3faJg8A/rruILroTZo74UyAus0CrUQonMHPeLo2e9VxvojbU1OzIcqmaIXzBPWe9Ntcyur4OknAOwPnfya2uVxLr41w4Qi+KGx5ypl84AMfWBRYOhyANjmaHRngnLLVXvUIgbRou6Y8AkVTb2XmfTwJcKvbdfjRTRkrW344pXvT26zWF4UzcEHljgtWFWRgBWmrBS8gvhk7K14OhZHzKX/1NBi992Hl4r0PBqT02uNavO7LaMgrAOmVFc92TtxJy716OF0w09RbGqiflBfgCMl68hR9eTPtOABfOWDV4b0rq2Zb0xMYYF8+toL3oA/95mDUjb/ouI+feClNe/Afz2SnLKi8NDilKQO3MjOvsA1M3rr30dEnP/nJy9NLtpvlrWVtJfPe97532VKiZ9KVrX1dC/oS/5UPpzbUp6VXVyBdWu+OJK+gepQFcAWfbjLu/LJBmepGW5hlyptp4QY740wwZmD7/0M/HyJkwVKRMzFLNBOfAxG4nsI473ao47TOJD51unsOhIPwqHHOpHxBp7n3FV/O5F73uteirGZEs82UxEzIctt/QMw+GEM4ZMQwNfuXNpVmXZcYrjRlJ+4sK07+VpeupSuHn/iadOW5hutz97YObOORhXThNGCAWFn8gl/wC5bttEkXb+oVfECSblmhpFvxbbVollk70UgW8IBr6eWVH//Kyuu6tqOPZqE0+YFy5K8uAR6IxgR50qNX+2bAU2ULyaSy20B1dO1lS87EFhf9REt9tYkcOWYv+Xqk3q8KZv7kSxxoPzxpruHRX4E8Kgsqi5/k6Fpc+7uvzDYAVzmxgI5fCVhJ28qiW9URffXjhyxM+Pqds3wQXnSTQzRmXcVwKr/GA+7JSIheIE991Vm+f/1wJg7kyVReuGJQHUJ5s073wc44E0yZSfL43v7GqAZKt01hb89ZQWcBNapGJvjCeYL6TupM4OEdDdc6lcHgQBj/fo5VO3R8bQMUlMO55z3vucipQ2uApkFGwTkTv4u1hdS/PMjTMtzgRpfiOWfoO2AFgA4n5FDRLN59SizgG640q0W46OJHe8KTHz314VVZK0/bJHjysylbmVYHGY34OClwJnTGXr7VbYMlumIysNKzMqFbZpHS5JnlWfWRD55qs/YIZKbN+kObyaCBDLc+To6cvnwBbXTJFc1kAlf5+IOLrrIeKqD38uHjwTUe4WgfGsqQq2v1xwMazt3s3yuDh1ascGrXNjBxlbX6te3j/IAOxFvy0n6rTj8esxXmJ2FTPnC0gU6QZ/pY+fiTRrfIDq72aMPkXz4dh4O2gJ6Ap+gcB+AXyNdWvG1kEyDnu+WpC190Kt59V87qRT4+i+HqJ32BL+n0qIeOyEeQro3S9GFprslKrB6g7eTPlsDHg3qStXrwr7wyttRN0Dl3ZaM9QZnShYmDpvtgp1YmfvzkQNlKZDJuX9KBqu9hcSwGoTxlBDiE0/V5g3pO6kyCBjvAO6Pt/+vOixiO8tCtXYIB5IDdKsZvaSnNVBCKZ6bIMfubH3lRFIOJk6I4fs5kgDMszgOsBCkloDzka5Zu0PsBlpkLBc34kH2PFKLTHxOdMyiXQQDwA3TloaVeT5bgQXucb+j32jLLHReUnSsT21wHDZauPT3n8/8MnTR9o03OUjymbYDmjMiYobINpg5/BbXnzIBIr6+0Q52MCzkyQAwPPLG2k4G+ZlDUKZCr8niVTi/gka2ng9Srr9RF9h7WEDhMskVPX+gHOHigM3jEq/aomy7QnWQg7vooIAN6EjgfMFP3S2M8BWRBR9Tn4No2rlW1NqhLvnbiG/90VTsZX3KbuiCoF32TJU8hwXdNhzhaskNbnr4jO3lsGx1XDxr10TYAD49C/W98fdqnfdriTDy9BuTRa/yTh740XvCAZ3Qq795Wn+0vqxbnnCZ8xpkJlf7UdrgOx/UlHaBH2qc8XCskuPqZI0JH/3owQnvJhj5w1EAbjEt8oO93F894xjMWfHXVxgn0PmeXLJIdXPfBTjgT9WIY4zGvcYyP2PaHznNYpBOkVa4gTVgL4zxAHadxJnB1sHaihW8zEg5CBxvoa6jj4Pkr4D3ucY/Ne97znsXQzTZTrhe84AWLcbZyQZtBYYj8LdATTn7CZcZErpy3vws6G0DHIHZoaPCbcdIL9TjUN0gyqtpgoNi+MAAMKsqLnr3Y/ttfX7k2KfDwgLMv/HBUzks4Pn3LOa4NiHASWG9zGdwT0FUXvqz0OHKrE3i2CbXBquZJT3rSMkANYP1FPowyo8gA6g+rSU8t2UtvsArybKNZdfn+nSfIyNaBtHMtvwZ+znOes+DoR4ZXwBuHoU88eu5MQj9wup6Qcq4oX394AlB/kjuadANNqwSreHLoHzl4Y1xsb/jPPaPbmBGOI2u4ldP/zuf8bZJBy8Coz3mJPn/MYx6zbLlypsqQPeOvHZ6wI28GkN4YU564MwkgDzySPWfgy9ra40yM0/SkGBnRP22zyjXbtgpyTT+d15iMenqJA20ltw3Qhwx7oL/oRbP65MaBeaRfDKaMlNcWMrGlSibGF52hH8YXx4Jn44MM6Zz+NtnR5/pX39p10LceWDFOORNthENGHIuxhT/bbPQQD/ED8KM/PCTAUakvuzv1wHX3Yjjdo7VzzgTEKOYEneiewhGezjMIGEa4ddJs2Lw/T1DPaVcmFFQ7ldMmT8H4N7tfzDaTWdN0b6blaRL/x/dgAgViVCg4RSQrPFG0HK96yJGTYqD8Htj/zg1W5a2GbEPAZRgpNgNhoFN+My7nWeSvDD7IQH1mZ5yUNpgdmgHbXrK9xkDWDo96Ow9jhA16dM28XWuH/qX45FJbT9Of05nQ7elMoi0Aj6Azhla+HI9JjAFowNt25aDTO0aMAUfbzJOB0AbyZBRckyPdZbTQYQRuuOGG5YCaoSGX3qPql8X6Sz/FF6egL/36lwEkLysMRoO8zN71D4dmBercR59pq7KctBmnftWn+h99/ErnyNAg7+PKGL42kqnrDuDNchlHfe1pOnJlCK1YGD36iA9ltZHj4QTpK8dG7oKxwBCSCRnhW8yRwOXc6Y5g1eMg3Lix4jM+8OOL3vTYDB5tY8Y2prGF7/r+KNA++E1yAfq2uThIOkKnPQ5Nhz2GPp1JNs21Pre1RH9M5hh9/WX80T3jWB+Tk7Z51Ng5FJnSGRMC48qWonFrNaMPXaufI8Yr+XLanoBFEx4epOND28UmJ/qsR/LjU4zvKSPXlRdKgxvsjDMBFLtGYFJsMBmEBquBE48aVuMB3IviX12ndSZ1GCVlwMwSDCAzjmZN0YTbADQzZigYJ9uCZhXKWzK7pqSMvBkbQ0Ux1YOW2CC/733vuyiSAUpJzcT1P1yDxCA0o1RGUDfFNlu0XQOkG1QMW9uSFJmB9f9yA8ZAl4Z/M2UzMvzFj/bI94TPQc6k0P1xgAOw4vI0F72JLkAr/XLtAQAf7tSnZIAnwEgw1LYu0k2zZ/zSx/iXx0nD5Ww4kfRTPjn4yoQ+ZvCUkyfoNw6ZbBgG+PrYTJoDN1sF+ESTY9APPaxAVxgEM1Z8cnocvno4dhMA/0bhXPU3Z8Lg2sZjcJRXJ56OA7UBcJbaboXJ0NMn9K0+6TNeORVjhfxMOhgvRteqSptMWNAjY8bPQX2zdY5Uf8K1ipzbZBytlbiJCsehfYwqedNNes2IkwljTD7qOY4+xVflOG2TDBMQOstZcaBWTJyFa7wp07gVq5/Td0bXuRGHYqWrbRy/tkpPB9g+OqU8uVnNPPzhD1+cJ8esbcaUlb0dBG03ydCv5K/9yuFBwD++XOOBk6dPdFQ5eela11MGoDQ0pAc75UwSPj50OsHYPqBABl2dCeDNhmhY8Xm3Qx2ncSbxSJEMPkpopus/JpRI3gzaWXsZAoaLM2EEOYNkJp8SkZuB6P8CHIpZjnx49ll9U0xslpYMKaZB4CEAM2JbCLYOGAaDwDaEmaGtqGgxAAaSNqiTMaSUjJstD+mcixWRFYLtDEZGnWikjGbS9txtSTCQ8oQJx+1XxpMzMeNru6Ty1V3gHB760Icus+u2H+Hgy7agmXzORJ8ZpAwhugw23eRclGc4WwVEnwz9zdQWiJmnPIEM9ReDYRtX/zMmZK/vOBhGVD8U9L0xYULBCeCJgULDjB5dbVVvEw+GhnE2ITA753Q4G3VpFzrp0DYAb+KaGZst4yGnMHHwYZViEmNLivw4Mm3xhBc5k6P2mRhxOFZgtgX1I5mZIHlJGK785IEWR0Imtna0hw5auXNSdE9aTgRoa9dHQe2oLeSaMyF3+lyeiQjZZvz1jfFqnBkH8jnc5z3veUsfK8eAcwY33XTTMrbgSedQrXLgapc0emWl8ehHP3pxJpwEfJMlL0iaxBmj9BmPJoRkn+4L2p1+VzfnxtnjHb9wtLOxCKRpEygNzpTjTm1zFTSesttf5kgoDQEYeDVQ0Biha7HGzQaeB6jrpM4kHsUUnYFx8GvgMMwURH5tm4NcbHZJJs5MGB/bAtLhkpEYmOV4mouRtJ2AjjyzSOkUnnIqK5jhOGOxBcaZWHWYBTlsZEw9hmyvvxmVPlI3hWVAOTarSDM1+7Da5IyEwTIAbAkwZozNBHwxEIwpOhnC2WYw09ZQG2YZg9X20XQm0RCSE0NqIBnMZvDyyBFf+oZjzJkA7TFWrNDIQx8wArZrnLmQuwGORv3hAJUzMXPU/vpU3WTJAHBajB9nhq4HApxrcPr6gcFu2wpf0gA6tnmcBxgn6VZt5MhMKMyizWj9GtoqhlMxq0/XxF0fBvIK4arHJMTKkvMzuZl5Bbqubg7F9hWn4WzAX17ps/YI9I6O0kU6x1hrA2ftW3gMZbrJEKqbYSVbjkVd+scP/5qcxYv+EJN/fXAY1E5htgcNY6I34PWtPGA8sVuthOEbA1ZX+pXxxj+HYuvKxETbTCZb1cUjO2DnQV8ZVxwS2lbLJknGb3yZLNJBEwbnfJyNFbnJm4kORwriP36NeQ8xmCjSfQ6bDsV7vIDk4H6dFuzUyiTmeHAC5EzylDrf0tgBUw0wGDMSoMaeN6jvNCsTuFOZGRj7pgyuztUuoD2UUH1w3XMm9n+9Z2KwUFDpGTvX8BkfqwHLfVsN0TEIrT7MeMmTwqiPYTGbufHGG5eBmZOKpmvlXQP36jCgMmTS8GHbwSxVWxhWDogh4UzwH93A/r3BabssPkF1TpBW6B5P5BlvrrWZQ/MNNQMKX8lG3IDRTsbcIMRHAwgN97YezdhMZKTbSuT4zcS1q5kk48egcojaAD9nwSAymq0kJyhrm4EzUR9npR8e+chHLoO8VQ48EP9iaerwvgOeGDZpyUKe9rjX14wvY6RNnIt66n84Qnq0BnTlJcfoA5MF/HMmjPcalNXvnJ4VAx6sZG37WZnQk9nvARniz2SIw7/97W+/TLgYx9oP4qfybJkzE06r88fAtaCt8b8GdNgVbXUdrnL44eBNmHrPZA14SV9MrrTPNZomNnYhGHqrNTphO8sWHeMeT2KOhoMwvjhWOqZOKxXjHm/VBZ8MtV2dJiL3uc99ljMdPCYveIJ7dKxKOJIczjaADqj+YKecCTCDoZxmHwTW4DYILW/NPuZh0eQZ7mzceQEhnmZlQjnDp2BmITrco5OcqCVu7dbxk7btAUbGoORMKKA24yklQd9AeuADH7g4B4fC6EknV2kMIcOFtkCZGF1GzIyRc5iANocjoKUPLPMp7Zy5o8WIW6IbdNplpsaxOYi1nYFHIIbPOXp5irHLgEwcMorPdQjW11YmBq0ZGiObPNGb8rK1pm68kTsc+fBzJra0tE9aT8CQ/TRqBrpzAwbCas2+vsGNlvZzJowo/ZamjP4gR8aEodV+abZ1etTW1uGUAaAvJlnS8GT1xCGRdbqlbba9bBMxxvjHj/5jRBgZupvRKySfQDkOs3YK6kiewARF200gmixkiIHYVikd8MSilRWnQxc5E8aP0Q832nSdDSAjKxBPaNEVdeBBGwN9p23aw1FxJmbr0uECtOl8MnIfj4A8lZcmfwZplXPGQS9yJvIy6PJBaVZd+lWbtNmK0BjgVNhcE2eysbqovLLazRbof3XYuqPHdMMEAz39xC6izy5KVydaxq9zU7sMxnoyQF87lSVL22PGKRmrdxuYbZy6sjPOBGOEbTA6FOppFIpv2evA2Oydt56DePJMwNsK5DSgjtM4k5RGB2ekDBBPczE4bYXUHmHicSa2oygbpUMLTnQpqwNvj7vaT7acRk/HtzIhWwMYTSCPEjJgjAIFo5gBXI9BMlBoMWhkYFZv8KofPgPAkTgzsSXDqFvm2wPnePCcrMQMAOflAJyRQQMtvJhUWM2YtbUCmGWTTWmuk5P22TowAzfQ0IVHRq4zUIywfXzX8oDy5EHnzLjxgS5Z286S1j62dPK1ira60T74ViPahiZnwvmrh1GIZ/XoDwfwnrxp1a0e/fbCF75wMbTxowyaJlVWXvpBW57+9KcvfBkbaMMVyN25BMcnvbYxND1pZSyhqw144SzJjnyko6Me1yDatYFhshqzsqRztmLC03b10Ql9a7JEN2zn4Fu/eAJOOQ64epShb1bP6KmDQe3BDqtDuLWV3GwnaZeyORN9gQ4c6erEE0fs6UfbS/Szfoe3bqu80tyTly0q27JW5Yy9PDhw6YNrsTFkVWFLFK8mfvrDasRql45oH4egjcrhU6D/JjPkRl4cCXzj32paW+Bri4mjp7zgxCunaRXHloql4792qUMZ52nkjN/afRSEl/yDnTozofQ6yD632RblEcwczWoMLoKcQkl4IAU/b1DPaVcm8S6WxoFwEPa3zV7VUb5r7WaIGAFG0hvwFNWgMHNmDA0oA9usk6wYJKsNikXpKJXn1jktOLY5WrXgQWxJ7gkgjptRMeAFCkepzXIpslkQp2Nrg8FrBaI8g2TQcxK2rpRhAOwXU2CzZTN3OueaA/O3TysaBk1b8WtW5yDaoDcQ1/3rvjSxAckQ40HdViXOCRh68rHPrE3qwBde8ERuGR2BceLAGDlnF2iRgckOnmwLcPqMd4fwDAR52L7oqRoy0ofwOBP5ZK4Mw4dPj3SSV85B/QyWvnKGYuJg5klWgjZwZPhhPNAzXqxsGB7l9A95cP723ekBHumV/laeAcqBkp82kwVa+p9zWcsbb/FolaMNtjrpoRUtp2aFhkfGUj0MqXbYTtG/8MmRrulTs3yzZ7Nkhp0embBosxk1Q6tO/arf6K2JJlzyYGCl0036xympz2G9x2o5FHho1FYyIBOH6Aw2vZltFddWfDK0+tIqwkTBlqL20i8y01bpYrwYo3hgw4xDeeiQGdmYaBk3ePCgjImWfsZrZxxwjTm4xpJ2k5Myzo9se8FlN8gcPTpNfvikH8Yl/cie1Cbg2pNnPfpe+jaQnKIZ7IwzwRRD6ukFh06WX4KtFMtJTkXjJ9TZk2/X590OQjzNmQnQ3hRYTCkcjFNOnV87mhkZeAYQw9pLiQaxe8bLjMfBrRmu2QiFNutRVrCU5ng89WJbxWOTBiWFNJjURZZwzXwpooNNxsDAFtousUpgsKQx1AwBI80gMsIGNtqMknRltFFdBgy68Cgxg6YN9oYNCKsBS3nGTN0MAhkzKmQ2lTcZAekGoW0N2xuMtAN4W13kYXvBoBOTF2dARgyigavdeCQDsjIIDXQ0xIwAJ2cmymjXNg7BCoCxtoK2UjPQ9aG+wxej76VFjoZcOX8OzLW2K4t39Wfw8MFQkhfDxCDhQR0mFVYOnAX5c1IMDiOjj9FCh9Nyr71myRwNXtFg1FuZqs9M2MEyeVsN5kxmgJveMu7q18/abIWhrEkIGUsX448B5NTolYkN3gR06AZ50CGTSTLlYMz+OR04+BPTU2NAe+hQcvS4O1wOkU5y/mwIfVKvdqOR7tARdZEZftPPGWqrcvLJioFWjlF3CM7Q20rSVvzTL87JhI3jtOJ0rx+MGfqjbVaRxjBHY2JoIsDGuYZPX+CaaJGt1Rx6JjGC8StmK4wjNNWvr+mINI6NjrfaBdo128qe2k6lw9q7LZAJQCPaYCeciXoZJ4xl/FwTKAWqUwuVka5BE6QJ5wnqPK0zAXWqsgzogx70oMVwmFmUbtCRASVwTTa1vbi0ZKesWLmMVAFUzn1x6ZQ+hdMnVgjNdMXohRsdhgXPGafqFcdTg1NgvOFnxDlKBlysnPrjq4FveycaQTwE8NsThyuWL5YXTUG+vNoLh3xB7RKqQ0j+YrwaM4xwtMTtZ4evPWbMnImn1mxT2CK09VPfRB9t/NRGaWTIsJtNq6u+CZRJzhPIFi3BNblYDepP98mi+lyjwfgwjsZePCXLNcQ3wAP9gCdIV48017UJRDP5igV9bBygFe3yXAN8oqsdZFl/lx90X3khPYavb0y2OHTXpa/bGh9dw0NLPOusjnDQrKx0fJqIZLzdl4cvfWsixdF4qspq1o6MCZc+Aui6VpYu2TYWp0d0wxgkm8af9MC1tqkTLkdr9cT5uJ/tuRaEhx5awU5tcxUCzLonmIOUElRmCu28QV2ndSZ1hFhgLDozYWgAmim6a4qegsz6ogXIisKlzHOgwZkDpbrli4Hr5B3dDA6aKZ0YHnrw8Oae4cMj/HgC0mZb5MVX9QiVlYcm42Z2zmGFHzQwZvoaB0jTBvSqyzV+XGurAapN8SfIg1NQRqjNyTZ6pTN2roE8Ww+eqjOj1rfhoqm8emfdAb7INJ7hiIXoA+ndK+9aHbMtk4a86hHHj5gxJ2/OZM0PmPTgx1PpE2ZaZUD8C8qHo71k17220wf1CEC+MmjN8q7jw3XjRBo5h1ebpHEmVmzRq96gOtBwXX+BaE4oDa4QP4Aj5ySsmK08knl8ubfSs6qyorK69dIq3MmXa/VYnVr1WRlJq83y1DvrBrUlkKe8MxOr3pl3FES3NgY7szLRGALFYOCacKQnnDWPlRUuin98ncaZwGW8GiDuzbI8Gmy2YFYy5aHtlI4s3MM30FIauNLhuJYWnoAOfPldlwefEgpg1gvgNEiqR6ge+eG5R0cMn3EIlHHfIIePD3Rcq1P+pGmryB60gcMZlA5cKxsf0QwnHqOf7ID7eJUeDfHkb9JwjcdwtU8fSi9Ij1546Dkv8p6JgT+Nwyw3r8ubdQO05cc/HsTVWfrsv2jKky64L0/Z8Omgc4623eBFp/LdA2nuJ91orvPCD8d1OOllMpNem9xXRpg47qtLqC7p637smh6hYcvWlpCtV/cCnPicdAX5rSbALNPkzb36XQO41W3FakXiXEm9tim1Q9vhw+FA2qq0nWerzjaesvEBT99w+HBtWc664q+YHNQRr8XqdFbnQQIywHdljoLw0NGGYGdWJjGmsTGInxSneyCtdEFZAZR2nqCu0xzA410HM551oiW+gziH0fazKRtZyFPfVDppKS9aaFCa8MWzLBz46qOIroFyM8CPnriy4upyHQ/V0/0sM2kGpcHBgzZN+rVJGcEs3r5xAw9edQndC+VXn/s1z5PX7uVHz3U8V6ZreeG6x7swcYVZ3hadcySrTU872Wv3KHIOZdIElZM2eZ3p8z7+C9IOwhPAbC8QV490s2fnXVYldEVeAVRPtLsuPTpzsuKeTKKxTgfywpEuny5EU4iPypcOB0Sz8uiVP+mgK7YqcX7U1iGcWb/rygjuD8ITpEsTaocQX/HjXIfD8JBM520CB+7sUDpH4/wUrjNQ50HyORfBQwnOSDgTNKzc8TchfkH8zHaI0XHm6mlGuwnasy1oD0BnlrvqTCzFQ7oMwJj66yz3gXT3pcGpM9cQnfOCeMyZeNzT/eT3WlB5YNBlkAxeM1gHgpTIPqbBPdu8lkv1SkcroEANGnnJQ13wouEernwhXGWlr8uLpVVe3nQAtUscb7Ns4Fq5mRcuWl3b0nDwPnGiXVmwTu9eDKS5R3vSnxBO14Ug2mDiAvSiOcswCAxABsSj0h4qcIYSjYN4weOsD9QWMOuZ8cQBEw9U3xrgyONErE5A/VoIkp9wGJ8mNjNdGn2aIH+mwZEmdC/UhnVdpQcH3Udz8hyYvNEteMaBPHiNB1D5dYAjrs6ula8ucXRA+cYfQ855cAYOyjkH2230wiqkepzLsQmcia0owRmK1YiHATrXql2uBWX13wTp2mkb04MdbIwHntCCiwacbaB6lJnlFmfihSrO5DgEzxLUmfEC4jomxru/DIiHrvHBmfi8g9lmnbEtREubU17lBQpE0TytYpYylbZyIIWr3JSN+/KFCWiEK8+1WHoGXlrpAnrVX32uQbjllx4P20LlZjxD9cbz5KG8cNc8g/Sr8rdFqP3igHySVfnBum/lT9kny/JnmON5FwGPtaNQ+5OBuDzXjdVwK2/cTNzygtLEAfxkGVR+XsuHK0QjHOC6vHXfBKX1BKCzG9vH69cCJt1rAbxoiqvL1yau+DSHpbcMYReAYBjW9j4vEyjLVBi85Uxscx2HP7jaVMe5R9vKRJpOnYoQXnufQFrbYEF4azgs/SiIpwBPeLA/PNMD9eBHcF3YFuCSxVTq7pP7WgbypuxLEyvjOhlFo3BbBO0mP32b3MTJRr+a7U5Y5085BtLmGPlEAW2I94N0aR72r0HaTIdX25WdYxPAVcca4EbLdTzR9cZSeNLT6fDd6zMrHvnRmPRqX/ieJpQW3XC3geipK74r7ysIV3wMkJfaBcAYYWE2YcbwZQEe6kiCdO/Zbw7F43z4ZNy35VH5ILqVrZPEdTj6dWDycG1wr5Vd/qTvunIBfAo1jYM60IpeIYiutHjjWBpE5QtAmrANRFdYt7UgXRpZGWh4d1169RbH50FtELbl7XoAMiCv2f5kLU5WyX5uhZYGpClbH0hPd6MLf/2wxK4CHtOd+NUWbZp5pWlXT+qVnh5Fwz3cme5agE9mTYqkyZ9Q+eitQRo6QjjRLg9/QhA+CL8YP3hxvy1U1xq8L3PFN5w83TArvWio7hk0FNPCVOqLBvUKeKjjHKj6kJqXBHV+vG4LBnc00VOWkqGVMsz6CtIMdgqg/Fpxo1WoXNcpkvLRn3V1L4YPbyq3tPKru3T3pVXnNhDtQuXFtXOmxa/76hFcT55mANEI97YC2ktetXv2U7IJh7zpYffwxGvZzbTSgbQc1y4Dnmu/kHOUVpi6LLiHQ0aVFTduo5U8powF4D7ZhYumULnqKx3uhOihIz/aoPKVEUdPqGw4k5dtIdxoAmmeDLvic+YeR63iy4AY0wF1TILCl2vplwHqJXS8xJf9wba58LctKI/WWnkpqFDnJo9Zb/KpbDhCdLsW0OkahBuEU4imOuJBGr6iK5ZXefcF9QuVr95tYNKuHfEUX+LkUX3zWv66r9CIX+kn4e16geSUjOa9ayH5gClLaeF3LQD5pXctb5dlXFvim46nZ/guX554yqV0OJUNZ423pudafuXdp7fuoymWJi96s2zX8Vw88cTSxDPtoFDeNgAvPoXq8B285WkuTxLEzEUDRhK0jmlmFJPSCPayAB/xEj++y+P7P15CSqDbADzlo+WeIrS14GkLn/iw7eiRPe0OVz3JCVS+fHTKkw4f1OnlgVkWyMeD+tQhVOYgRY0+vMoE0iu7LURXXYLrCeojt9oo3328Sqc3k28x3rpHI/q3NUgehfqeDJNbMhIn12RXHtlNHZEGSocHXJe3q4C/dKp2iq2sbGnVPm1pJ8G9kByTEUALHnwQDnx41SNfqGwyA+6rVwjgKO8c2VOeJv+evGsViF9lQfVN2rVt3s8Av7xtIPrJAlx9NBhzxyF2loAhe/gYBGKGrU4l+MviDdT5dS5efCHWl0k9zZWibctjeDqhThHIwDsJvsfjuzkeBdT+OsxLUx5pFODav61egVGYPBac51BC5Tx6iE648tFIKfGjrZ6/9+ikN89TVHlo+VyDPGWkK6+/qve4oEx8B+jiURu1VcC7+qVpg1i7pOMNDWnKRlMcLTi177YEa/mSgT4rzb3+0+fpiT52sEvOZC6vg95kTY50IDpieepjWMl91wGv2Rnt9Di3h5F8T4sM6J22aCtZ0LUmXdqrjcmgMOkKORky9LmTxhMa0YIvgPR19pE05X3I0kdFfefNp5csAuTBi4br+iGa0tRTevV3f1yozglXnYlnjyFcFsSYWCcypB6P9eE2HvikjT4LmJ0i1tG+ZnvlypXlPRM8H5c3ZSqnbVYkFMSLRNpOaSldzsJKxQtvPrHg45eCR/yky49O1wLQpwaGz437GJ+PxPnwocePKacB5JtBnnWvvIkFRfWpBSsweXCdq/kQnfSbb755eaHK6mnWSTYn0SOyUD9Ax+zLuxm114c+fQTUx/lsLWqDPMFnSrzFOxU8+eLHd8Dwyki4j9fbCpBDegTI2X1g7DNQJjE+bOl7TT7a6KOgPu/hTWkfa/QBSB/RJMcM3aTLaNJZsOvypSs5BLwy0trZ/+R7G921/65os49P+qAqe6SMtpu8uJ7O0z0ZR9vLt+g5oDaefPvMi4nyCvXJpCHgUUi31YOeR3x9UcGnV3zXbo4dIUCz8sLMQ09actgW4KqvNna/OBPfDcrDXRaom/f2Bq4XeBgHRs1LNd4MN2NnzC4DZge4xiulsDI57plJQPizkymocxgDlvHXQeqCJzYrguPzCrbWfDraoKfo8ZdCRFM648kZOByzp2mA6GszMHm+5Oorp4y1T383+7LVRub9N4XTMEvDG8Pjt6gMi5lsygRSzHjYBpKpWEDLINVeL/1Z/T34wQ9eHLeXvBg/70X5zLt8zoRz8TVfzlH9BW+hm5R4bFF+hkDebQXW7Z33rvUrh+urwb5A7FUBX/z1whxZ+5yN8ciA+RAhA8bRm1WjU9/pezoV3V0G/OHbaouh91l536ryIiEdp/++CmKiRS6cqp+i+Vo0Y67d9DS9d5/hdl1QDzmZ9BlHZKse8o6HNb44Jz3zBCDPGPXZeh+O1D+zXuWCmVZopVX6usxRMMt0jSe/CbniD2a9tHhZoG6OxOyAEbM6wSCv65V/X9D0meVwa8iElPq8Qf2cid+I9p7JcetVJkVS1srk/ve///JWaoomkAGcwOcTDHTG0w+lyIvBBPAKaCtry8JKhyNhUH12Hd3wDBpGlkPhrDn08hlun8U3CCzP0aSIvt2k7T7Tjj7FbFCJ3aes20D1AfGUi3rpg3+HG8jkFMjn/Bg6Kyaf6baiIg/lBcbCKsxM22dq8Dv1ZNYFXAfxtU4Ld5ZZ00km4bufeeQ8ITyhctEVgu7ltcoKKjPTjgMmb35NYKfC593bMqwt7j0K70lGsqYHgJ7Fl2sAHy+1AYjjTTqcgF5VNpw1rhjUzu6B6+O220TIZMz3sqzcOUuTEXzSKzT1kzFiXN7vfvdbvp1nQkIm8RsoJ10sKD/vOSc/CJu/mYAjD7gvjTxqT3VJF4A84+KJT3zi8rUMfMojp+o8CJQrP/rHhcqJC+ixiTvxbS51M2o+bmb5plMTKA9sW8USHCTU+C2eCneeoI6TfpsLTB5d49u2DmdisM4lMCUSwxOcVfgQnDdYrU78B8TsPFpCZcnQZxcEKxP/KOcYdLw64VBCdZvlUzJpge9i+TmU7TUrEyCf8bYq8zOePjuPZgHPguttoXon/4IBb2vBQPYzK5OMYOKandmm8TMsTtDMTT4+nPv4hMVcRYmBa3yW7ho997VnHSpbmcoV1MnQi+EIdLmyrtsOipfa4Tp5ynNdkC8t+p1fJGv51eEaRHMbMJlgVHMmyTAaaJup+5eGLQ3brPigQ/IEfMKtXaWVH63a5l7Qlsa7vNKFNd1oCaBr+dsCvv3nhFNkkPupWPXXd2JBvj9scgRWJniVDqpXuckfwLc0YJLoNQyT4jnG4YrREdxHS8Cr+sqHC9AxQbSamucws86Jf1YQvXgNrp6ZXLYzAYyTH84wGpi0T08ofiBkFu5HRxNmB3R/EaC+kzoTeNokFrSTsvjwnL8N+j9B3+SaNCkI5eVMzKbacnCe4O9/aFamYIZuO0LsZ1q33nrr4kwoZvjoZhBczzqv5Uw8Fu1bU60CtKPB6FodwrZQves2TGdCD7QfyMNvdTfLtI2gTzgX8mog0iXX8Gs3GsoyZPKtYpSRJm5AwtM2A1ZIfnAY3Iw6uqWJ3UtXF0BDnllv+HgKpzqkq8N9dVkVRB+vnLh64bgXA7zC1wb44uo/CpwL2Gb1eSUGihNGC020BKsXE5hHPepRy2ydzKZc8ad9Ap7iJV2Agx9BnjbYZgtXQK8+kB99eeTXfXwpC9+9sA1wCL6Dx7hb3bfiVcfkFT20OVrjzJaqVQW8cLTVxI0smiTEy+THLsuNN9647Cyof9JQh3ZoXxNptKYMyQOgqYxxYUzbhoMnP5rVTc5wzxJqU3wHO+VMKIlBQzAJA7MOAj09ZZtjLRj3hCi+KP7VdZqVyUFg+8qXCCyjDzobohTayZg6RzLwnVlwEhxwT1fhjULBRZMzIVN/cbM6cR4VkDdnQMkFBiplBEetTNRv2wg0GOQzDg2qbSH51Y+F6UzsNWtneQ0UQf22I2wjPPrRj15WbgwRfI4azwbwmi+D16qFI/KFXyufOcjjR9vkGSfoMbTk5VognwYWfDTUxTCQM7Bv7kN9ZrloyUdfO/BpdeggWDrebaeYWDBWARq+NMvY45us0Z9GQ/2MER2Yg/0oQJv+3fnOd15Wu/QGXSGwtUmPrIrpkrqAWFBGG2ytOnPRrqlT2hVNusPpe8hG/5ChtqCDd/ygRdfJxDmf2T3ZKw9PrG+O005g5eVPrg94wAOWrwcn43Sp68krmcxzN0Hd2kAWJnjaoBz+6xd4aDpK8M8iKwq6mi7Kh2sHAV+2+zms2SbXaAbK2tK15Ygv/a3etQ50f5aANkB78rgzziRBCPEh9hSOJ5D8OlUHSFvjzHuNmw08D1DfaVYmlEJsYNXhBo7DbgpiCRzIKyhjcFrBwaecPlnvYNDgRQsOBWboHCQyUBTVk1zOTRw2BpwNR8EZGViUMgUHR61M9I1BxuA7j3CuZdntjMuXTtW7LaALamfhoJXJxJ2yMQBtRRiw/qDHsPWAgcNBg7hVH9nD1waDl8HSfk+HOVdyj3+4ZKLNHtcmJzNzv2j1B0iO3VM+tmLxRx71KT1kbEwOTIjInuEiG7NiK3CzWQbSlpFfwaIvXx/b7qVfyuFX7OOfnCI5oOXpNk59GriDZLMNGF/+Ne4M1YMeeKNLnAGny9n6jBA+tV0+KN+DHmb5dIE96f/vZIwPQDYcoHaYHDLC9NTWLfmZ/Bgf5G2VRB4ewOCE5Xn4RLp78tU2tNEVth37HiIxebN9TnZ0JaeXHGcgBytAfUUf1MXRmeCQP34FeqfN+kgZ/a89aGsnPbZVZvKGBrkZyx4SMd6s/MRk48u+HKiyaNQX+NFOW+K26OgL/Zj9Laa/4Z8lRE8dU94740zUreEYZLgMbArrP8mepMj7rnG7j3fp2yrUSUG9p3Em+EODchTMbm3RMFIMBZxwuwZmtLaXGCiDmVEySzSI0QmfglLKVhscMkNL8dGifAY1BXeYTxEcVBtUwWHOxEzMVoh09A0IM2X0GVwGVv1zJnUU1D5ycV1YOxPtDxdoqzJiA52xszohF87S9oVViqfBGEqDVXmys2UB36pEuxkA155sMwOHQ3baoU+sKGy1eiycQWA8GAVGmBHhRH1eh3EykPEkz2yfk1KeHOWj77/fZuVoOIvgPEwo8M5wky8nxdDIR5vj03d4MumQxljjPdnhORmJpW8DZEMX/MjLAw30gcMy4+bIOGUPMuBH/07ZwzVOtVV7rMi0XZ8ZI/hPP51p4ZvBhEt/1G3bzFNVJgD6jv6lt+9///sXG8WAKscZzbGesZ26cS3QfzfccMOyiqVjytcedCeg28Qi5+DhA7yYEGinNlgxOQznTDhAupqTE0xQbKuRbVtl2mm1Q+c66yNbts8ZJ6dJN+NNwI+YQzT2TWY4uHDE6kPf/VlDMq6uYCedic41aOzv6yzBzIXCxTyBwp8Ncy0+DwFOQP+021wtzXU65TELaZZhICaLAvoC48iZcD5oGMS9G8BQoUfZrVoop3vlDErvhzBi6CkrVo+Z+OMe97iF1txSOcqZGOBm+nhhFBkZA6hBjf62AB/MtgoHOZMGTfjutYMzIQvOhM6Ea5BTdMbawAcGrdWAVRlnkzEy++QsGPG51YC+YGZshUeO8SzWh5yAcy+ywDcjYHbOGKqLDOPVeHv2s5+9TAL0lX6y921VpW4OR2CEbRdZKXB8jAy+GA9OhfEyIeDUtQEv6IuTzbb9oB8ZefaAzOmiutVhpaQN2uhcTxvNmtHWTo/ve0eDDqmf8dUmY9i/yjlu9xw0p+Pgm9zjF59WHmh4D6PtQSs68jYJgkf38JMxrs3HbavzD86EfuNJOXTqHxBv+DBesjl0hMPwiLTVWHXCx7eVGX3Tn507aTtnYlutA3jp+hgv+pbTRktdtrw8wcjRcDhoB/FhfDs39QSeyaV+KC+5iLXpLCFeknmwU86kDu1e0HEU1eN7lpR1PIEJlXFd2fMGdZ7GmcBlzKwMGDeD1AtNBqkZpg6aSh1Io3xmIgY+Y0IpzQYt2ZvZUGCDrkc38espOc+kKxuvYsrGmdgGYggoZHCYMzEjt81l0NteEzM+LbXDq55tINz6szCdif7PQcz+7p5jM1PzrTk84UceOXuHx4yW3KQZdGRpVu8MgiMiewOeY7WtaoswPpQhK87EQw/NtOXh2bVZJGdAX8248aNvrIps56gD/wLaXlJtJo5XKzrtNFngHJIFY+bdINuInqRi0Mnde0EmWDkuNBoTAE/xuA0wSD3NxZFknJr4AOm2uYxHjhJtPDi7wxvn4xyOc2UEOSFP2XHkaNka4kTpI+NpxacfOCarQjLh0GwXqte7ReoiW+X1QXLRVkYab90L24BDcP0i4BdtdJIdeq7JXp3ommjRJX1hq9MEzeQuGSsvaKOJob7NriqvnAN4Kxq6gHdjVT9ylnQCPXpIvx7ykIcsskAjqO3qJDt6hQ9OR73kpq7aYtIB9yxB/QB99QQ740yAwaDzCKPOxVNLPobCwNMJ0uu8hHtR/BPiaZ2JQOZm0IyEmRolSnEF9UzQ1gwgo0e54ZgJPfKRj1xmSpyLmS7FYpDUQ6YGMPmZ/QXqQtOAl2emuK0zcQBvsFBk/GtHfQenPtwWlAHa47qwXpkYQNEPVxvcM4YGoAGrTeo3mMjB4DbjN6AZKeXkk5UZpJmzrQ+D0uqCUTPI4yOw1aO9jCbDggY+8GBLyFOHnI2ycGwL+bq0dwJshZE/h06nGVgrE8YYHcbZqspsF+0pQ3WY5WvHXe9612VL1BNVZqXKh5tTgS8NX9sCnbIVyB5wVmbZAA00k4V+8P6Rla46OcFbbrllubc6ZRi11crVDJ7ctQ0/2m9SA5fMbZ9JE/QzeTC2dMk454hy3iB50936EW94lC5sA8aMBwmsFPQVo56s0US/fhfLM7G1/Wj84cmYNQbxoV58uMarfuIEraK0G3AgJn3aSe+URVs76S69MGEyATGebImZvJgYAnVUl3Loctr6w+rNJEZb8IqX84Lkgo+pXzvlTMysDSRKjckEZlZiNmR/0yza6mQqDzwCvCj+1XlaZ4JfA8ZMgtEx4OybcpYpcnjJQjCrtcWivxhKvFBeRssAtxpxvkSJlRXg2P7hMAxwdMhVOmCkKIInSbbZ5mplQumVYQAMHAOUEucQ4W4L4dafhelMDDCzXSAvuQD1errJmYNZr0EfDiNgZYJfg1a6dnY+YgAb3D1M4AkZjlK/RAOIrVhsKZpFzvrxTeY33XTTslWjTxgB+A960IMWfPQZe8EKkkzV1+SI/GxtWCkx5NIEtBkRDsZkwXkBx2eLziTC7BV9coe7lqGwDVi16cu73OUuyyp1jrN00j0n8IhHPGLzmMc8ZpncmB17COTFL37x1fMD/Atkz1CL6QTe6Qp95NjDIxM4ZAJfXep19qCP2uKuPbURiBsn24K69c29733vZZVidTLprZ0JWdAHEwZG33mXram5BSXGF4Nua9NqzTVagtXqPe95z6U+5cjDiozjpXO2u2xZqosc9a3+wCu61UFftNVY5/zpAX0zaWJT4kNo/J8l1F50p8x3wplgiHDtrTIEhIvRDJ7DXTNrMzGzHgNQGfmEBWrYRbRBXac9M4lXscFnyc/oaLv2gfIFdbonJw6BgnXoRiEZfI90MrhmivVng8yjwRTWDJBiS4tnDpphaGujcmanZlKMbjM3iuwTG96Ad87DuBlgZsiMhMGQk1MH5Qbua0P0xfqwfp48uZdukBt8Xug0A7MNIB3AjaZZH4dsZm/WTyZAPt71l5UAoySNEbTC8ICHCUzGW/vMsjkTkxh46sSbPLM/hoRhiX7lOFbOwNNG5G9wM7xmv2ipA++1kwwYTzJCx8qQM3RQXz8A5RhhBibDbAuNzjA2Zu/GCLoT0JQmBujFb/eTH8bO53achzmz5HDxSF+iAZeO4dPWKN7s79MvM3Ur4nABfHQas+rwEIPxDBeoQxnBpIBMXMN3ZsImzAkm/KkDykSjth0F+HbuQwdsMXPGk49oCa7puTFGz7SX3nAWtSFcsjKZY6s8dJG+4d0qonMQcjBBMOF4/OMfvzyVp9+NHUDnTOQ80KKf3XMy9Ezb1WU7lC7aHqcX6pGHh3CS2VlC9GpXsDPOhLLpHCsQg4rQEgTjwNOb/RjElFNDUvSAAKWfN6jjtM4kXrXRtS0uhpDBdLgYoFuARyGdsZCDmSoalNIMyPaMWbNlOINTGTgGMBnaViC3BqQ8KxPbMwYXmpVjoOwpyzfApZF321ycDHwzbqsln1Ng3PCILny8cQgUn7G1soq+WPvrZ2WC8hhk7eVM5pkJ0AbXHCwnzKAxPgwPA9PAIwvvKZnBW4FoA+Nhq6g9aXSk6wdnJgy09lkpMuLqYvRtO9hyNRvHY4FxcJbBKWsnfYbPQesT9XBM+NFO9Dg8qxD8u29l4rDdBCPaDIUJhCf94gW/2sjhO9BWp3T9Qd4eWLHSR7v6xAV0xegUM3z4nNtc9Tl88mT8rEDsEvgIonLky1FzJvoBbvUxjlaDVo1ocZL60azeJAFuuhAuR+Zauv5kF0xS1BU++nAYd5MacmxbdxuApz/oFiNo9Utv4wUkJ31p1cmZpO+1gV7DC1eeCa9VBR3RF9GkI7Zgbf3RUfKlH7Ytbe3RPXSMGe2102BiQi9M2Kwc63t4eLbboO/rq0KyKpwlRA8P6gl2ZptL3TqIoG1RGAQ6zoygWS9FzwPDJzTCDRL0eYP6T+pM4Ck/naV7M4+cScZYqAzDIZ3R9ggqw8XoOEMgB4rozMSMj4IqyyAZ/BwP+TEA9vw5AwPPIGGczEYpP/nD5zgMUspqBuoQ1GBiyA0IKxn/cjEjYpTxwFiog1MyMNRhYDX7sj/90pe+dBn0DYZi7XM9+46h0CYzelsdDL93arSNrqrX0l4gE7rBuGmPOhlyRo7BYJw8oUU+BqY0qytbX3QLT+piyMwCGUV12UqCr2/olj7T32hpI+NLjmTFeFvNpKO1x8SAwWKArRjxpy5l1ctoW2VqU98gUy+e0UZDP5G5J3dMtPSDPkLbxMFki4y1mYPStqc+9alLe21V0g+8p2vxln4ZZ4ybVasvM3vPhB6aYetHtMnbvVUJHHLgaNFEXz+ZRTvAp294M3bxggf51Wt7xmPAVnlm9vCstNRhBaaPu3fQbRJkQtNqPH0xUycnM3s60gMn24I+VQ8+lHfew2jrH/IVjDm6z2DjVRnO1SpCP1kN00Fl6IG2smHGKBtm3HKgdM7kxLYa3dLv6iYXY8YYJDd4xljbgb4ibpzBR3/2n3SyobOtIuvT+kV81hDNeAl2wpnUcEplUOpUHUi4BpFBYb+bZw5fQ5QRAg27iDao+zTOhDIK8StQRge1vagUjjz1UUxG0/La8tdM2zmJ2Sc8CsvQwKF00hguKwVfgrUlgWfOxrsEBqo+95iimZ98LzaaARtQVjBwfevKNoABYh9df1gB4MH2A6dmMDEayhvYZvZmVNIMfoaTgRYcjDN6FJ/Rrw8Zuwxe8tAWg8nholWXQ00GlaGzQtA2MSfCEKJHpuiRGWdGPrYQ0LCyZTgYII7Wc/p0i0GwD24mSecYDg6UQcAvWgBtzgcf9rcFg56sOBHOl2FWP1zl9APjb1ZLVxgAvCpD1hweQ27rg1z1q60LKyMGCy2zW/zhiQFjWPCJX/fkr//VR4boebIKPXWRdeAajjhZmwVbJTjrsboUnGl4CEE/MnTabRtaH9q606faBtTtWn+bkNA3uujQXRtNeuoTdet/uueJO1tBZGOGzylyJPqRY7DiYlAZTPywAcYB2YImKuUruy3UdjyJ6bWzBxMe13SAs2eL8GZFO/VAe4wvfU7/6ImVI500KeAUODty1n8e8iA/Z022m8nTpJlucKxk7/0TuwN0Vv0mH/hBnyNXP3rxbEzSF+OVTKXHo7jxdNYQTXXUF2BnViaAcvCwPDaB8uQ8vRmjwd8ATTHxW5B3Ufyr+7TbXIBiaIvAUdpS6pAYoCnPQIVLPuQgWNYy1G3nwBXDxR8gE2XgwRfIVxlp8lxLQ5Nho5SllS5mMKqvdPTc400wIzeA5MGVVt+YXRscDEuyqg8D18rUXjH66kZTLKhfevVoB9xJC200tAeOtuEXLpnCJS88G9AC5yMNjlmpvBxfYGXnSSSGRpsYbiszTgRvyR6oR1ntx4PAsJgsuK7fZhvluy4t+apLu/FkssCQSZOv7epSjxj/2stpWj0ov5YzPuNP0E5tsBoiJ+WrHz3BPR5cKxO4Rk97tIEOWEXgFW6GDl04+ESXvKWZOMCtrXCrS7p2ukcbjvJCfSWd87KKOi6QRe3HNxqcNKOuj61K5QnqgU9uZJ5e4UEbTIbJT7o2JPPkQr5ibVFGOjpoK8PuWdHhI/rko4xY24E8PHNaJm/GFBqzX2f9Zw3RVYd+CHZmZTIHBMFQNJ1DsISecMRTUDOt+/LOC9R1Fs6kwazNlNF+ap/8SB4NrtoJV5wSznxpgvtwQbTCA+Gs0+oDcfTklw5HXH3V4b7y0QOu9Z+BYHCabcMDyuNfvgDgRz+ItrgAoqMsWbg3SA/CnbwCOIyV+uWhEe8CXOkC3PKtbBzatmpAIxwh2tLQrn5xRqN+Y4jUE328u6+c9GShLjThoCGQaWXgzDLoWTXhszw00I7P0oXuq2fSLB+gi4Z8ePDRq6x893hLLtK1eeKWHi6aYoYWoO8+ucf3QeXdm3jahpq8XgvgqWPScE+uJhIcvv5Jr+TDraw0+ALAZ7xK0/ba7z6ZRW/dJun155RbsbRZlzQrGR961M/4jkd0XYPis4Ro4i2ewM6sTAhB/QWMEqBrDMf05DE8eaVP3PMCdZ72zCQ+tVswM7YEtuS1SpEmv8EZvvJCZcko5RFHr/JADE/aun7X8z4Fh5vSVp97Su968rCua9bhWhlbKbYurbpmncrGN9zu5QfhV2Zdl7apo7LRLd/1vEcHXrJd1wkvGoJ0uByHvXXbKrb8olUfhCeOBhwgDU78uWc8yo8fUN1wBNcHpWtz9NCJHzHDypF0qAzkVXfX3c/y0Su/a+0UKqNu9/InfaDOysOZTk9ePHUvnjIArstDG7ie8kbXwye2jEw+wzsKoikcdK1u1+tQvTNNu2Y6ntNH99LhiOFJwzeceDmMrrQZlEOX7thStOXqzAQt+PKSc/FZQzTxo45gpw7gMSfuGmCWoAlpAhx5QrgA3hr3rEF9p3EmeDYg0BHwazZkT9XhnJlGShdeAwhUTpA2aQH00YynZCiWJm8O1NIEOJVHt0GFtmthXVf9E54Qva7t+dpTN/OsPnHlhdInPYBGaULtMKCkx69Q/dEsvXIzXzzrhxMP2t69PFtZ2qB/nDE5Y7Bfrz1kEj2DOr7jy728YumCeyE8eUDcvTB5E1ynD2ualcGrcw0z1vAC+WhIr0y0oyeULw1+BmvixpdYUA64jid08DuvKydNmWJp4spXT3TFykdD+zqcpg/hHQVox4P+m3UJ5QXoxnv8hSM92ZQnbdKTLsAR4DeWxNXlXtn4QUtaedqIB9uIzlKcizX5lB+usvCie5YwecVnsDPOBGMEkrBdg5QGbzOEk9AL6IjPE9Rx2m2uOh8oyyg5J3LgxlC1d1r7KJhQBxbcC8kLwC/AIcNwxSn/rD86oLqUs1crfdJ0Hy+gNDGY/SIG9Mt+cjRqv2AwNUsXpCkXDdCMrHwBb9oRrehGx3UDSh2zTmnoz/RZp3LaCFxzhJ7g8rSSg0+H9w6Xe5pOmUlbSIbSQPnwMySTB6Bc9ArwprFyTV7hC/WZa+Xx5bwB7WiEW73iCTMPjVkGSBe6F3ePp/ooqA751QUnmcx6krdraVM/SwNoCe4r49zKeQR624JyyZ0e1Q51iUHXgnw8haNuwX2yly5EC1S+AE+52i12JiKWLy8ZuZeOHlxl2Qlb4h4K8NAHPWy7NKguNJQ7a0Ab1NZgZ5xJHSAmtMkkOCw9KP88hLcGdZzFmclBYIXiyRDbXZ4ASdFBnTfrci3MdlPAlLDZmnvXGaHwyyO7AD2KaPAAdIRwDcLS4CprAAThToBXmQD97uGjOweAGG1lg3goTaxcvAbK1aZw4UQPjSC+pBcHricP6p9tAPIyAiAexdEsHV58BXAKEyZfAP+T76A+ic/6rrLqBfE1aQbu5cVb/Avh1zcFaenCmt4ENG0RBu7Jqj6L1wnoVccEZfFRnfEL3F+LjzVoY5MYgK4QoK2e2V5lDuuH6oeLTnTjeYL2zzFT3VMOlQdomIx5qMLTdJ58s72XDOVX96RxkAxPC9Fb1+WR+Ss+TmfZhCEIFw2Yo5Tq1klCDKc04FpCkXet/NPA7BDXlMCjtJwwZ7JWlKMgGaOprSlCCmWm4gkWcTKpjOsO28pThvwCCtY9nHVYA1q1L1indV36zBcfRHcNDcxgTWPd12t+5U+cINxJI9zyATknSzIrXVyQP++F6ABl4QgATfmT1/InT0E0t4WJe1DZ6i5PyMCXNyF+g5k/6YvlRRso13UwyxwG0Qq6r9w2NIJwZ9mTgrKHtR+UX5o4x1ceeZZXkD5lLI0+TOcx6YLKHgbRMPbtWPQUWWWuVTY+47X72Y41P0eBspXr2sMAV3wyw77bcQmeJdQwgdDWnRTTlwGzfnzhzwcOHZh750HanOFcC2pfso6uNLM3sfvkMcuUdpBs5DdjEuITVNdFg3pzdPFewJ8AJxnEZ22YMljfA/eznOC+tpcH5LmWh6fKAPcCCF88r8kWTjSrW9C+aNYm9YtLq/7qPCuInhgvyc69euNtzQNcbQrPfenw0ZBe3qxDfFuCZCLuugmbe3F9nuzdlz7zLgPiR+ga35Pf4/ap8pOe2PtoV7y2z5kcl+BZQwwKdRieUmrplwX4qAPEXujjhL0R7D5ej4JJZ3ZGNMSFcIuFypCPa3TIprSUozwQjYsGPOAtXuMLP3gT1u0SSpvprmcbXEcjnJk+yxnU5cvDT7SB+wZ+5atv0tAWebVJfynjXph1yZcmP1rFZw3oCtVV++O1EF+CPLyC8GeZaLoXXNcGeLcVqM1TJvX9lGky7rr05FreZUC84SOdnf0M8LstKJ8eKFfsqwtX7na3u33ct28uC2pcDDZTp/SX1RFgysQ1frzl7ZMivjyKx21BeW2sc11X3r3DNU/heITWs+7wlKmcAM8S1zVe5vK5fCCeMr0MUG9trQ3aGz+upQFp8MINP/4L4a7bNdMK7ls1Rlva5Kl0AZBpPAqzr1wnc6Ey1ZUBSWelCeWLzxLwOfvYvVB7CvJBfIevbDyJ4QL50aqO8sO/LYC2JoOuySa5ugf1NTlNvQjgSb8M8HCCd9ccZfhagi0yY6I+FdKHbSDdSBe69zb+lTvc4Q7Lm58StiV4HoC5OirQSTrhMp3JBPLRCb7r5ADeh+gYjm1B23RkbURLee32oqbPbfhEiE989Be36uRcKYandAR7p71VW+ysxaE9fP3ZuctlgXbhrTbiRYw/AX+9bV4/S4cDtD3+xcljDWsZkQO6rls1JpNZXj2CdHj6wEGnsuSIH3WKyTvHJGiTgVk96ah60FLeG+0+rTH7/KwAD/U9PvDtcyPphUCu+MuAJFfgGo6240179AG6YrKUlrxq920NyK3+JW/ypScme96Qlybob3jy3dffly03OuHTNj7h4nFirx7QC/3eWBNvy+N6DLomm+Vprrvf/e7L5xkuu9FA/ZitIzTYC0lewpoD4aJh8oRHLwv5IJ7OwddxeFO+MmiKGR0vxPUROAO5Jakgn0L4NpVvN/WFZfd48L0t326yUvK4oMnB5PkyQN0ZKm1mmAxMiqfNZkr49t0s+63al/GSr6w4kC6sQZrBkPF2juUDgf6D4btcnopbvyEMkr975XzU0VIdL7575qmZ5MhAeFHRuyXw9Y83+vWXb1nB9/KYOuT5DJDB69Mr6PmsCR7OEvDvRT3fR/PxRVuvvsnl21i+aeZtfQ+I4NFnYHzRl/HDo7IcRvrBuPjelwlMTqd+A2L6qO8qc1sBbeccfAPL5NEXuH2HTuzbbiZ/viMmGIu2vj3mT750ZerwZYD68c/Ge1LUJ1j0s/48DdCDdIGM0L1ypzvd6dIfDQZTgQs60BdXfYfmsvhTL94E1wySR4P904PxnoNuW4BP0QT0GAU0fcrblmM0DV75Ot67A5SUcfAXNt/x8rVefccw+xidl9UotA/H+VptdR2Xv7MC7cgI1dbk6Jl5fHOC3ir3UcL5pFp44KA2lCbA54g4FFuEPrrnJVB/9fuMz/iM5QsD8NQPDy/Rc21rkRHw1V4fDTTo0DHTxKfPinMKvowrXZvMTjkQTosR71Mx6pDn0U396bP0nIsBXZ1nAWgxWN6z8G4SZ2J26COSnJc20Q18+HCg9xIYvD6mSL541X6OhFE0SfGRxRxNAY7g+izbsOuQvpCH1Z0x5s1zn373oVMTDDJmqE00fOXB+0f0gV53fJBeXAZUN531/pqPt7KnbE7jwPjctl9newTl3Nut2Zn3TNZBJ/piqR/N+KPYZfGn3njqejoT93XKUQCH4JXJwLrXsQyZTra/WV06S364zlQYPX9s83VTRgtuPDB+ZqAMi8++cy5mmpcF2oCv2uF+ykCe75H5OqyvBJvVhydOYWfZoDQQfvK0avBFXbN0/0Jh9MkhmuTZAKJnnBpH4cdQJi/2lg0+gSGxOjbTJ9teVATyOXf/tlCH+tGUzwkxLB7UwA9HN/k/LaClDerSz77o62vOrYKk11ZbXXCsVMyufcsqhyJwkFa09Nkn0JUpr346qA+ud9D2ZKivtd1K19iyOiEr+fDg0F/O24qFY/c1aAY8+V0GqLe+s8LmTHzdmAPEd3q0bb9qL9xJV3z1pUWzmG2JnQfUKEy51ikGhU9U+9eGGd5l8ycEtjb8IMpsDs8ZkaMATsonFpTvfyY+a86ZSAsf6Gx1mGE7V/Fu0HQm8DIAZk8+Ye7DkWajFOgyAE+1A7gvJE+BETMjts3FANceZcmngShID2Za6ZVj2NHrnyxkxhGHiy4nIiZTb7h7q9gEwVcIzDKbkaLHEZGr/Wf8KAfk+Y8JQ67OBqVYeZ+O9wdNqxY6fZagHgaOvFrBc1zagl98Jjs4eLbCMqP2ufX+mxMdRo8TVaa+Kcz2wr+tgLYKZEAXXDtzsEolxxyF/OTCcRubnpI1mTGRoAuXBbVBsJ3Z74CtaEuf/B8F6UB6BdwvzsQB/C6cmVS/gaiTLCftW/tK69ve9raP4+0gPs+T97XgliXdlStX34DfFpSlfGLBINVeh7Q+QW/VYZZY/nrwMmZWL/6J7i1YB83hAvTMljg5v4u1rcHhoCNvGkjtcY+fNcA1uzWbhhMfkxcgXT5DyRFoi7Tyoq1cddbm6NqO40zMltFQJhpAWeWkzfqjV3p1CIyrT3M7B3G+Zaurv/2B8PEB1zaPczlP6HEObTUCcSsU+PgTA9fwnVlYvaQj8eFz5g95yEOWN5dbmUifeNJAeceByuLfuY26OAT9UR5wjX+65TzFZKh/nahTe+QLeJt9INZ+/Fv5dqYSTP6lRwsN92SufP0d7uQPVF5ZeqCMspM+2tLFcIWpn8B1uiuWj5dJC8xr4H6dhlY8A/m2Cf090/amid8abIf5JL4fYfl2FueDTxB9/OCtMVPd6/rdwyVzfQq3tgq1n8y0zz18aeHMYKvVT/L61UV8zTZuC3hRT7C8Ab8L21yAMDBoy0cHOPy0rZAzCfBJCOtOVv4kQjkuqOOkn1OBt1YefOtYP4Dy/ScfrWsgToBrBcOZ3HDDDcvf5wxueAaYfMBw2XahNM5YDCrK5mkf/ewf1u4pvXrN2FNQtMSeVGF8GWMzGMq8Vh5lKLh3lPwxTl14l7bum0B5zg2eug0m+/0eKvCTJPmzH5VVr7RJ5yiwquVM7GEbOM6YOpNBG01tRde2hHMCwUMVHmrgTNQn6AsOWhrjgWeAjjzG2WEsuc8+Q9vP3tSNj/qK7Ds/wQ+88Mn5OO0E8FuZcCZ+fIbumo577XZgD4+DVR8wYzWh1Mb41L76AZ5/fNAH+gM/IAN4+FdW33JoJj7aSZdsI9KjdAN95YB7vElDF30PoeCFrjRe5JO/lZdVlRU3HaZ/dFz9cLTdStD/c6wK7LoYNx6ykA/EXYN4EmozUO9ajuRgm8tWMr0AtQGwX34q5u+gvuVGzwP04RlzeHOW1Xin+7U1HqSbaFr1solw6R868hrD5G1iSf7wpaEloCWQDzkx+nZ62ILqKd4GaqcyU4ZXt7l2wZnUmbYTOBFC89SBjjPDTmkBXglHWnxfFP94OI0zwXf4rjkCg8NKot/2yg9HnGzs19sWss0lNmApYXJhtBw8O4OwtUN5lDPgGG0Hg/5hbhZt79dTPrYS/f4VDYPZiodTY4z1ha0ig8IATenxZIDqH8HAZwSccVlNGvAAzRwRhffnOs7QwLCHb+b+spe9bHEmrqcjUofrKYttgWPQRoNPPbYcbPm1Txxdg44zsRIWexjFfrdtLoB3hlC/OMwnL8Y60C46oEy/ddWn6AvkapvLykHbGEC67QDXJ3mcX6DHwdCD2n4c0I65zXWYMwHSnOMY+L7gYItP2/3h0yzaxM2///EK8Iu2fJM78rJVRh9sC4Lay2lwNrZY0feknr8p2vJxUE3/PLHobIxhV4b86BN+zeadW5n50yflOD7pDCX9Uf6WW25ZnpSj62hy/uyDyQ8e6Rcjb/Ik9kCCh1LoZM5b3WJyJ5N1kJchdh++a/zZ4rK1yXAH8oxHfFsNG1f1u/L0zhYY/sjF5IPO+HAo3aRn6qQHAvtn29u5C13WD+59t48s9JutXNuyfv1rbJEzenTBGNa/dFLd+OPc6YgJVr8nKG9bCLc2BTvlTAiQMpjlmsW4p5wer+Tp69iAIKaDuShQ30mdCYArpDTaQTEsi235TAUIKsOZUC4H8GYXFNsMx0zO/rwVHOWicGZkAL+cBAWktFY13mMx26H46DBw6mQ0GEyrnmaW+sQhs0HAOOMXeOLJnjCnBU8dVie2W6RpB57RNdA5GluXjLZBKDB8Pc3FSDUzV2YO5uS0DZCb+ugRo4UPExKOlD5NOhwNHjhdfNnyxX/OBB8MABlzwuQwH1PHn20uZxAMB/x4FjOcHBlZq4NRJGsrGbIgL/wxqMriTdnjAPxtnElGwwrQNq3ViUkGGWmvfudgOBO84j+d8fkg+oCuCQb9sTUpTT8JzZJtV5rs+MU0ZwrfbJ2DoJ/ky6Ghr80Ch8H5eGjCrJ0+Ma729jkKNPBJz+mKbSa09RmanJB6TZDoWS/84kkZkwEGGf/qFcg6eeO/a3n6wz2ZuS9dbMxZ1bFL6qNn5E+3GHvOlCMxGTMmlEMH/ww9fVcOj1ZeynrM31g0QcO3ciZxJhvaadzTQzrmsXcOUt+ZHHHqxjTd1FarHWOaDVAuvvGgTlucZMQ+xNtxAC2wLrtTzoSwM46Y1MEUxL+7KTTmdbK8Orfr7i+iDeo5jTMJtMWsxezJDMsg8QipNAo1O6r2GbyUjDMxOyQrCmamb5ZiK8fKgCIxWmaWDRQ0zf4pHmVizA1yysxAUjwrBOctZvbJW92epjNADJj4YZQosJWMe3WYTdlig8sJoWEAe0rIigl/8EB5DJOZnAGiPiDmQNAVXE95XAvgMRx0yexUWcaEfBlwBkbdZqUMp0GlDMNkLHDGZrHqhYdfTs5s1H/Rtas2AMbD48QcGHxQOc7EWZhVHadh+00fWM3hTZ/AS49di48D8I9yJq7pFfqcNoOCL23XNumMGSfDwdEbafSCQTdpkIYOfWLAbJdwxrZW9Jd07TCOrbKtItKBAr3iSDkaNgc+w0mG5E6Pw5VHl+HSNXXrM+dTbAJ9Jz80rVLw4u+DjK3+p9/0kY6TP7koH21xgH+0pKnHtbj7rpUz+7fyx4PxgLYxSJdMwvBg/HEcdAoPdJBjZjcy5GiRmTxtZ0vwjRfO0/tXHKVrdQvwOWPjCS4a2uchE6tjsiBPMX2szwW48jhtfWPyOZ3NthBu8gh2wpmol5AoLqUwS2+QcSa2BBgzjBskdXohGvKPK5iTgDpOs80V39pi9mUWTzk5Cc4CTniBtpGHAQLPzM+ydh7Akws8ivSyl71s6VwKY7Ari559ZI8gm+0om8zMBDkms1XKRvHx0grCwEDT+xvqUo7OGECW6/rMsply2i6h8AaYfpVOXgyGAW2woAHUbfAZmGar5WlLxqmBfRygR5wJA46Oes0kGUXX0vBswJkNop8z6cwEbw1E4MBVG8zi8QXgmD0yYGihIy3+yZnRZvg4EE6NYZQXfbSUE+qP44By2zgTeqBejoDT8BgxQ4RXgfy9eMZA0g28cQyMJQdo1WHVoAzdg8t4wpnycG81xhCaKCXD2mrM+MKsbVr3tkf1P6ehD+iQfhPjiaE101ZeO6wC9QW+3Ecbbx4zp2tWi8YJ/SQPOsiQaj9cfCqr/sq7njKDE171kJMzE+OVnpMFiC4axo3Job5g9I0lqwoTC9uoxjv9anzhTfu004oFn+zeXe5yl2VsGGfJRODc9bWxjT+TEmNauj7C6+TdmGpc4dFEyYSRjNCwWsH3toAOQH+W2wlngiFCMjOiIDw5j0qhzaLMKO2RmlUQSp3egJ1Qh54nEOJJnYmy2iGQuQHnrWszeVt7the0IXrilELM8FEwymOWDz88wSyHTMiNMt/nPvdZjGb5lNUjw7ZdzNDJUxl0bbFxJi9/+cuXwcDoGDgGqNWD/WtLaPwJyhkQcLSj1RDZMK5m4frRjNEsVh8yLvjAoxj0xJ724EeePhQYxWbJ2wK6jKtZrnbhgey0ixHgEKWZYeKHvqmLIfM0lwN1Th6dZA+sTDiTzoMAGeg7hpATx2eGRVlGmOOnJw5sbY+Qs3amB+m0YJXgXtltofYetc0FpDFmznGMK3KQJnSWwumRiTTtoCcMvn1++/CMtImFLTGrScYvGvg2lulYxm0N9IA+dA7KoNEZfaMODkoap2tL19YRXSRX9DkToW0aoL36wphyPsKZOQA3Y6/P0zllBHVrZ2MOlA9m30wwBp75zGcuzsTYCtCIDsdNvuRgXHAezinucY97LO3mjOk7p2H7WJ4Jm3GJpknHne9852Ul3FiEb3zpAzIxrrSJ82YPpBuPeKBH+NdGbQK1TbptRX1oRU3O8LaF6KE1ZbMTzkTjDHxKYD+Rl6aIYnu1ZlAMLmNGqPbtKQ5+NYZAp9DOGwjxpM4EwBXwTOmsyGxZaaNBSxnUAWdeA8pCkSilgWbgopMSw3XvPMOb1z6VY5ZusMnLmdhbVXe82LulVPI8nmy2ZKBRSoMNLqOSkRI4LIeQ9toZUjhWOLa5OBN7yfrWAMGLcy8zMWXxAvSfQWBm6smn+CwvAyJeD+rDgAHQZoPNQCMbdTJSjIDtAHJjCMXy0dYP3h3idGzPSJOXwbW9wnFYcU15G/DkoM5kI8DRJgaN3pKHlRH52M6cuOgI3R8H4B/lTJKpfjbObrrppqU/tA2fdAaPt9xyyzKb5yD0PYNt3FnJSPc0FRpwrUw6TJ/9I5+z6msByTcwthlaBlS9VkIdWKd3dE6Mtll5fUCf6BZnwuEH8rTZxMMqQF9ySHY0jCu7GyY96CZrPHWNRzE64mgmw9LFxo73TNgm/CorPXrAOHCmpO+NbVtVxqszOZNmqyjtwzPcxpf2mQCZwBnjdJaO4juZGEMm2mygujkfrwqYJLAP+Mg+1i/1sXT96fzQypBsybh2bgPhauvs151ZmWgU5TAQbCO45s05FEwa4NIIjmIpQzgMR4oQra7PC9A/qTOpg8V4p0wGLoNLIRj0Znrha1/tolgUzYrDTBJusgDhMmIeNUaTIlMi6ba5vBHO0FJi9JU1CMndbJMRaDUjjwKjC1990ig94yXYyjEQqpvB9DkXsy7GiKNhjBhdfYpuSq5NVlqf+qmfusy80K3eORDE0rcBNBl8BpteKYcGR+3chhHkCM3AOwcQGCAvLToHoofVGS9WJvQQ3uSlA3grsXAF11Ym3jhm7Bm5nr6x+rE9QaZw8SwoIz4O4GWbbS5AJpyZFZLtF3KpjYycr2GbteJL+3PADCIj1qqJofZlCvlsByNGlvTMtokzE6vZXsCtH+kPGepvOirdSs+BOrkY4+rAE7m4ZmjRlAafrLXVqlI+pyfdgbSdDQaeHjG40vBqK1KQho6An/StANBCE98zr3srE2eLDs21r3LywzEeOEirI6t2DoJc73rXuy4rDXoJVxuNL9dkoxxnzPF5IMdKjeNJL7RXoEuNOWOV03J2yT6gh+7kqcB22iI0ASQregK39m4Ds71kFeyEM1EvAdVgAsKka4J3WGhpLA3uxEvI8twL7s8T0D8LZ4J3g889ZeMgzNIN2toEXHcvzwykN+AzhtothsOA+/QHw2IWbuYhXT1mklYf81tR8igTBTX7tpVjFl0/GHAUnTE2Y0dHvWaxBiijBA++wYqGAc9YOCSUb0nNyTCu8av96Jow+Hy12S5l11b5rrXFoTlny6hsA8prn7rode3As1UXx8agmTUbTMlWHZyJM5MO4KOnzWaanAA5wBfg9J6JMxN11TZlrBCtrJXRHoPdDJXxtJXBqMDTF7bZzBbD3RbwcC1nIlaHvmNE9IOn9jIktd/khF5bvTJIgsNijzAzbhleM2Tlb7755oVfExO0ORT0OEk6RjemUxY7lzMrdqbG0KubUXRO10E72SVDdenDDpulW5nAtS2sPrYDLvkxqNGoXYyt7SH9xFAD8oVvi9Vkxz1cQTk0u8b7DLZH9Z+VCdpg5tNpEyn97pyOHpI1R+leH6g7XTH28KUPe4pVzGGRoRVvuNpFj+Gm2zkT248cTxPHNV8CPbPFqF+bZKKR/d0G0AHJN7jqTAzakC4a1JtSu6a0FJMiWpJ7/Z/ymBE68JJPAPAro1EpwHlCdTFIORNpwjYAD8/xXznOhEJYglIOdcAJKKPtPbMbDsLhHIfh8UOGz4yfghqsHJJtF4PO4Th5UUDKzJj6bIt9WjMTA19deKHUVhnoooEe44cfhtZTPlYvFJphN5gYZTxxcnCtCAwAxsJesZm4maItEhMCjoESa68y8M1IbbvYS3ZP4fGDZyspTtbTfAbYYXKGjy9yojf2nx1+MhYZZ/K0pUKXODdyoXd0jW7BdWaiXVZJnA3nyBnLtxVnNkpGZNJq2t65x4YZVvpJjgykPjGjZ1htqZGddIbZOyvabNZs7An20U2cyA1PR4E26wdyMeny+HNfRtBf9IKRZywZY/xZRXEEzYzTDTSsSK021K9deDBxsaVDNlYC+kyeMwiyIGPXjBtZoWlSYmViUsGQ6n+6wfjRb/pBvvSusUNPbX/ZliJrM34ydu1BCg4LP+rBjzM2ToPc6kf6indPKimbjtEHDpJD4ZzUp0/Jm2E1JtCmH3QIwNEWwbV0Bp9MrbiMf32uffqZnNVjdUo/jAsrOrLpkJ5ec9hW6NLpg3rJR/uNrxwsfaUbtv6cscFFhw3Ql1ZH2qtP6LQxok7X8LIdybf20D+7D7Y4PVYsjeyOA8lE/9WHgCx35nMqAKM8u1ke70lxzIB1jPMUnUf5CavOVwbM67OEOiL5qDdngqcp0G0ALoODTrQpvkM0z9m3dJ40zTisKiiM2SOFMFM2MA0G5czubGGYeTICFDDeKDyl5GDMKBlA+GY9ZicBfErNCBrc9oetMBggA0k+5UNTXxi4DD2j79zLoOU48MRgGzz6RVutFpz3CJQeHqNiJWTriYEwUBsMDCWaDCznxCjWD2DKB77BSk70xuzXPjmaVgDkq50Grjbht9kYQ2VwcSK+GsBpqM+AVyfDzMhJt/9ugsMhSCd3s1QrK2XIhKFmOG1RoCnP9hoZMn7K6jvtst1kpcKxk7PDYnI76OB6DdrMMetXhh3vzqbUyTHrA33I4NNT9VglZlC1XX9yJGhYXeFVrN8YYo5Yn3DA+kq/MWR0hHHGPyekvejpawbSAbiVkjqtzszm9Tuda4KjbmUKHIe+wq8JinL6wCrZKslEyaxen3LGVr/ocwxkwclxesqrTz/byuR0yJZdadLK4Um33WYlykiTSaFxE29kxnjjj03ykqBtLP0qzVaWFTZdNsY4DE6QrQqiy9noH44v/rSzSSQeq994opvqoDe2Z+kVp0PXycgEAT/4Yg/QN6kK8E8++oYzoSPGd45L+nEg3sTZXPeLM7Ey4UwuGzBUwKjBz6DoSMaXgNwnHArJIAR1wnmAOoWA8fOFWcpdR+H7KIADX4we/rWTsTODdShptrEG9MNNDmKyEbRdvjSyatAAMkmecBldskND2oTaYhBQbsZXmQwvqA3wDFD72QanMmjCdW3V4zqArz6zLgbXbNW18gwB5absaIPkA8cWWBOeQJsmT+7hCsnIbNJ9eOglH3JQVzyRSTLFvzQ04bjGG6OGhjR51aMMOtLrW+2NZjxJq27ykaYcmmKzezNmstkG8IBe9Qiu0ZpBm9UJNxkW41W79GW6IcYr+srqXzrKUWgvOtI5fnXCK6BDlxkskxjGvoN7MkS//gjURQb1N51AJ5lFuzaqGx5eoiXNfemtiKpXe/GNnn4Syzf5YJjXAFdd5KcO9ScbQT3y4InxXj55oa/OGaQJ+pkDIxd1oDFlAjd5oK095Kgd7tM/5fSdOtGhh/hSPkheAB5nws6YsKBxXFBm0g92YptrDXUcflyL3euEGl+nzA4g2JMIZxtQz6zL6uB2t7vdsbe5ADqUAb+1yUDVGWZvnEnti67rqXDJR5DWdfhiOBk3AK9y3aMLx3UDIzwDg3K6BvIppXtKXh2UlbK7FuK9ugXX1SOoZ9IyAMTuq7+AB7O3tTOZNIE819VZvbXJfTS7Dkfd8KIjb9IVohG4n2HmRSM60ZhBXrgCPhghe9/04ShQBs9kXVsE9R1Ud7jxm6HqPlzgWv8rIw1v+ljarKt8dF3DY/Q4EysauqwOIX7SDffo0R9p6JRGH9CLJwF0LR2uAGb98sXps2uheqPpmrxtQeI5mtXVvThwXXkgblygB+TXHtfSo1u6NGW0M/rutR2O6+rpnpyUkyaAaEWje2VAei1f4MQ8EGKlw5nIV0YcjaNg1j/hJx3AH4R03qDOhNR9jQ/C0eiUaI0/084aqhOoY1nSnfCrwdoRPcG9LQX71WYMjKb02f7ZPoGySOu+/Gi7LwTyKFY8iOFGVxp8tMuvTOmVVyYewglcS5sQL8oWSps8RDNcg80esa0Rs1XpgXzl1mnqn/KZ9LpXLnz3+FUG1N7SZ5n4BOHEQ/TdK7dOrw5hyqc0hs2Wju0zM8htYF1HYaa5Poif+HQdSFN3ZchCGhw8Sj+onHuBYTUxdf7n7M2KUxmBoRSjKUQzeQNp0apc9XRfeXwE6LiXr2w8i2d6NATytvVqe42jrFy46/KCeqID4jfZlBbP4soCcby7VjZZiKMjDsJTJnrRd51DmHzCB2KhdG32lCdnYmVUvhDNbSC5FMDiTJyZtOd5HIJnBeqcjREXuk9AOZPySxeHW7mzBHWqB6Bvv9s7Cba53CfQowBubY13Zc0YOhh2qJ6CAHhwZkjp4BSkR2/muRfLU851MbxCZSm16+qes5ZJr9nmOh3tyYcgHVTPpDfDrEt5crH/baaeMZqwLq/MHJSBa/ld48F9vFTWdTrmWlwZ10J0xDN90lnjCeoS8KaO+gC/gjY6y7ESQ2sbmPVMkIZG/FUXkDb7AMgTpGdYo6E8kOZaXHl8S3PNCdnWsiXZeyMewLAVBqf+UzYdk169s8/iJx4qJ4Y3642nNZ6y8qpDGqicLS7nKrY06XL1w01elZcuoB19AKf7WddBEL14717dlRHHQzKaeeWHI4bnet3uYm0R61fnlM57nYkZW7Un/G2hcgL6YJlg2/tvBnGZoDGFCfiK8QnwpCVMAPc82kHYAkDf45KcsNlXHbbm+zBQHq4y+HdtGesw3GGgp24sQTswrMNcF5Q5LICu8QY/mUhLRl3DUQelzpiv8ypTW13HW+nuxbNeuMlGgK8OcWkzlA6Ut99tq2TyFayv5R9EF8irvLDmGUhX3n34QlBZoftiZQ5rUzS6r17GtXzBYDepi59tgGwnv+iB6sFTbSpPmYwnCHfSmfhiaTnA6hHbetEW15yhA3oHy56mEzxl5uEC+YHreFAWLbIQpEdb6Lq2uC9IVz59mvhgjRuU5qwhRzfbH754DZXtWplkiZf4Lx+dSbP2dl+7wpn3VuVox1dh0j2snsqQDTochyfNPFHpwJ7TV0/8FG8Lk6f45aQWZ+KxNomXCVOQgesYD1wLNT4BigtnCeu6dFDbXJ7acL8toJXyR1P7MiyMp6cxPI3liRlbO7Nf4KABklVpFBmt7l2vQVp7s5OHNTTYgzloJ0iHt06Ph3gF6oaPdqCctHX5CWseZ/sO418+usJhOMqrd/IYyNOuZAAH38l4gnsBzmyP++oWV1/lpZUPd6YfF9DVP+o+CK5FM761bZZXJr7kB+7jNQhnpqM3ywU5DlAdUw7KlTbzAPr1g/Y2boC49AnJZtKb/BakhwO6nzBxrwXy0U8HhclXaQCuPCHa8QCkoXWYTFwnUzRnWeBBGk99eSzbU3ImACD+jgvqm/WrT92LTfRIKk+F6cuCGJxMuqYcCbh7YQrssPSzAvVHN8F5hNJZk0cuj9shsy061LU60JXmiY2e3Ci/jk+pohO4ll6aazSTnXKugfvCxJngPnrJtTKuBYBuPAoUVTukAWnoo1E9ysrXHmmu5cuTxoDPgSVNHEQjntaAXnnlu0cnGQbqiB9OtrqqY9Kf9MCso/R5Lx/92lEI5HeoehJAK7nNUL2uJ5QuXsNh5dZpeBWiI5764T6jBi8jKc996eF20D7rKC+a8OmE69JmqAw+6r/AtfLyusePe3Ws8asLyA9vQu0W1nVVRnC/DgEaBbizXWjgI/pCdYaHb3zCA+GFK9010B9siZ0Oq7FJV910MNyjAN6kDdRn7PhEzhUHJ7YStiV4XqB+AXMCSHjrvIPwEtJZw6w75fJcv5cpHWQR7lopjwI0Ug5BeXTQFxdAabWxdFD5IF7XYeK5R3OmC2v5zbLF4Qj4WJeJ7/hUz6wj3OhFyzUQKysoa+BLIx9pQeW6hhO96iwvHqNdOffh4tWgm+UK0uZ9sL4+KkSnel2rd9228LaByZvreX9YWmHKwnX3M+5awHP3aOK9a+nVI73rSaN2hsMYJv+J270Q7ZleHLhHp3pLCypTObQmvlDbXEuPr8pEp3gdZpsrF0irDRMqG+5Bbaxc9+Wt08HkQd66fEF67ZeXo94W0ADRrh7vN13xiextXpI6L8BMRsN1jQ6kHdTYg9IPwjsrwJMOUIeXtfrMtnSdc5y61x2vPMipSC8/xV7jAukTT37367ITtzoK0pUF814czPKCfPFBUL56gsofBtGqDuXpBUBnXZ/raM6QbIXZhvKkAeXdF8iq63CTaXVHN0i+oPzqjFfxNKTy0A5cxxOYZY8CeNVXmGXdVy+YvBVLq83utan8iQ9HDConDlc4CMqf5ZUlk8pEb+IAadVTHcLEcV0/TbwJ0ssPx315s/3ddy2EB+QpG75rejrrnxCOcuv2uS5ENyhNmDSrK4ietMmT6+7F0sKd8lrztC0or2zghdud+DaXZVKNKwBpUwi7ADrmpN/mCuoIofahm3HqXlxnl18HKjeVwgyja7HBepiTdi90HU73yqun9Jl3UJh56+sArfgrTPrxBse1EA8gvEB6uOVFRywv+USLTKSFV3p8yU+O0hu44UQrkD/7rHq7B+K56jlLiP/qE6u/ut2XB7QPfrjiqUPS4Mzya3pdA9cHhfAOu69stAU4QjDTwpm8lAbCEcMB5R8UtoVZBl0hHXKtPvLsvgAm3/GVbGf6vJ73k17pruc28oTKhTfvq3/d90K420K40Qx+0nsmlwXVjbnJoP08HQUuk78JhHgaZwJXGztfqGNd29P0VI89Ttfy1rOe6uKA0VgPftfK2I92XdmgtJkunrQnTGM1ITrygu4nbtdiQb4Ad23cQOXltxVSWSFY1wO6rw6BXKejFaSrOxqVE5NdPIUrzoi4DxeUHn4wy056E+esIJri9EHdhdpe/4inXoWPT2mlryHZHASTBnlEKzrlC5P2QfUcBbVBCKLfNR7W9Z+kLmW0hQ51xiVNXfW76/SsetIvPKxlVllhDcpWpvKCa2NeHJ4QhDNBGj56ossXDPA4aevTdblrQXVWPtgJZ6LeViYaprEBYWNa4wllFwA/J3UmymqfuHZ3KOZJLm96+26P7x35Fo9n4FPYQtC9fHQAWq5TFvG6rFh6OOUl/6kgYOJFU9xggB9t1/LFcMIrv7quBeSjDAi/Oie4n3ThNGuLh/LoDrqTNmigNUiVg48OWYDKy0eztqWzkwe0oyF2D1cdXQvyC6eF6pntBdK1N5mUnizc16b4DuDMMut4grTCUVB94kBdU46ga/FBZVzjb/I48ZLHpCOtPjgJoKE+/Z68yNa1setlTS8Cyoeb44Gj/6s3/gQ8BsrIi2cAhx6Ka0N0lF23373gunuPbPtopCdPfRvNk7v4CdDxjhDcbWDWN/nfmZVJHe9bNR4G0DANls5A8qjCLgAhntSZwNOmjLagrTrTRwPR8xgfpfS2asrj2gf2fO/Ixx59RK+PxfnCr0eJfQnYvY/BUWzlKPLkzbV08bxe502Y967XQZlJ86A01wyYdndP53w+xocpPRXnw3gHGRagLDmt04E0cqIvZl8+mufjeGTpI5Re1JKnvKDuyrlWnyddfEjQh/qU48wNQB9BhONFQu8B+d4TGu59ZNHH/XzYz0cVPRGJD4PVva/myjeY4/0g/k8K+PbYp8+BMBKMBd7piK8z0ws64VrsBUIv6imHz/pC0B7vmvnSwNpJuiZ/ckh+5Yndz7Q1SD8sHFUWTPzuKzOvD8qbsMbdBuCSFb3sngzIhK556dF7G/rZRyb1hXdrfIzRVy18HNLHHH3VYNKYYZ0G4Bof3tXxMjN97rcI2QTX67aXNgP7iRdv+vv/jA95siU5FGXUB3cbqD745BDslDPRaF8vZVwMDsFLNr7SykBeD84kMJAznIIPzfkqrZcgdTqFqaPUZ+vLYPd2MeXyiW+y8d8En4Tw5Vtf2HXPgKLjC7YpiYBHwWAIyusawHGt/spMvAnlNcAmVDZHoE1iaWIfe8Sz/vY5b192JRcgH+/KdI/+QTwAeRyn7UGfXzEIfYa/LwD3tu9sU/ygyXkzuD414SdYjIGXvDyija6X8XwhVnpbBd4Bsnr06Xe/P4XPEOtLhttPiHzt2ufJ1aFt6jsrQNPHIhkqTtlDIb4Ire3eJ6AXPs/iCwJk6wvCXoj1JWBt0gZAzgyV9xD83sC1fPTJSUxWrskvmQXJMwi//pphwkHlKiO9OKh8OMHs0wKAM3UumDhHATz00SEnQG4mDGwV2+RbavTD5/H1hUkRY81wm/ixERwKOmC2K/q1IXBvfPgign71y+de/py4Ymn1yUyfecrgmw256aabFodHf7Up3G0h3HgJdsqZmH370b1ffvpOlb+++UQ042mWaPa0C0CIp3UmOrgB59oXczkIqxMrM508cQT1muWaad5www3LDLz/kahfzOlQbj/hYRStUDJiE0/cdffqdJ2STDzlBXlAmutC5eZ19BmmaKFRPUH8MnhmS8pqN77FINrxM0MgXxm0rTJ8DZYMOAiDn6GHA5RDu3qsMszo/QmP0/DpeXnw8M9JW4GY7Vs9q6M2+R+L2R5nYsBKNzHi7H2yHi1p8rT/LAFdNK0ofJLdz7E4U/UnH+2zIiFfs2hy6UdeAF8cjCcT0SCr+kyYsp9pQfV0LY/s1mUnTtcgnEk7OrNs/bFO1w6xsl0D9/XxxK+ObWCWISflPPlq5Ukf/CWUUS6PbtNhW1y2rH1WxiOznEmAR/SiPe/RcA3c60c2hjMxYUwGMygTjUkLuK+t0mybP+QhD1kmHPSYboS7LYQ/eQU740yAfUczJ7Ojzg18z9+sUWddNn8BIZ7GmSg/O0SHa6OXR/2Sl8MAOioDCF8wK+7/0D5VbvaSIouVMRP261lO2Wybg5lKJoYvzGvlMwLxV6y8PLE0+BN3plHQlHidrw4DLZDOKZrF+z8GZa+OAkBX+UB6dYQzwZaUwezDmTleBjXcGZvEmI2Tpz8t+j6ae7Sjz0hYMTIkDK17QT4D7T8yZo5AmnZbIfr3hv6YvBbOAuKNA7H16d2nfgYmT52zLzhuPPnroFWcNLJ1rc1WMzkS5cTRmGkT5Ne2oDYeFMIP1H+QLq3LaGfXhXiSLq5PKgfE8AR58MTbwLoc3aUnVpz+5dMEl85rw6yTHH0eycrbdlh58OI53sqrDaB6TXI4JNu1yaBys62u5ScDgN6kzxZwJmwrmwPK2xbCVwfawU45E4aRB7c0B/jRIQlEJ+wCEOJpD+DrcNcGPkPn09Bmh/20RrsD7aewZhO2Wvwf2sfaGAF1wxcAWn7m5I+KPrbHSQdodkAIGsjBbAd68qJ7GCiDbgNq4suTPhU8cK+c7QLOxOoTbhDNwyDe52BB0zVnYnvHp2l85sFLpn4MFcCBiy8rB394VMafFv1giGGdtPEB3/3sFwDflprZ/oScia9A02P9jA4aQrwWjgvKJG9bLIwWQ6Gd+vgg4NispPw4jGxyKLUtoJdCbVWXe3hrXNfwpAO49bdr+e4FeOu2Tp0JP4e2xgXpE5Bf3wTS0o14EB9W/1GgrHLKG5tPeMITFn21tTW/7oyPyYsyft5lTPt4K37WoI0cUnwpG8/6kPOyPWnla/ssgKOsoKy4coUA39WNXz9R40xMjKJzHIj2uuzOOBOM8ZqcSV48YSUcOLsA+DjtymQqgGA10m97OQwQzXDcw7PasDKZzmSCLR7KZ6uQPM32KabYh+0YNwoszRKd85nGx4BwVmB/lZGyVWa5HR8UM+VXziGwvWIzc+cFjI68yX/XyuLZrEhblLca9b9rDx6oGyiTjIL0IaiOGZQR8OM8Rmxfm6O2yl0bKTEnYmZv5XGnO91p2efunEMwGE10yMFBJp6Vk46WlYnDdnRA5Th021y20OBJ037lhHiVHj/HAWUyXuq2HWybqzOP6oEHB0j31Qb/J3fOw8HRBbqh77SxlWx8uZZvxWOrBU4GEMAJT7rVMxxl0KJfdEQ62cWLMvgjE9diEx9/CNVv/Swt2TGstnUZQf3gXkBbObQAmZA5XtGB3xiQN3XoKKDLyuCPIbZFSHb6vH7VbjjiQrIjs/e9733L2Yd7IFYOPbwZN8YaHitLFmL39NfKxISn/gSujVPbq9pKXsYpgCM/PgoeNPGXVs6kr57ACXcbUAbAn7LcGWdCaBSP0C0jCZhRdG+gGMzxB3fy6nqG8wZCPKkzgdfgcK0tAsNqteEglcEvv7hgYNrmuuc977k8OUI5ykPX00eUzy88PQHS3w4NODNRvzR9wQtesBhOK0C07P86E1De4HRw7z/iDCwld61PPK2kHjwJlN+2iMNGBoBS24u1wvDUU7hibTT4OAx8q18w2zKzt23QATw+CsoBdNyL1zB5qhzefSjTgKFHtvxseXFi8KJL1lYm5Cb2b31bQLWVMUHD3rjVB0feIIwfhsX+ucEO0DY4ORMrE8ZdGsNIlrbRbJE4BNXv00AUbwt4UIbsbQ/PlYk89SabHCn5+9ueX70acwySA3u6jIZ2wFWGcWIbPFDgLEXQv35BrE51wxPTB+OWnBk/W2r6lN5Ztbl2JkjvyEK5jDCnRpfM5E0m6Z3fVJOXstrDwaNpZeXcULoHIBh448aTU4yzeuDqa3Q8vGOSph1NdJJJwHiTDZCf3MSCNA9x+EWzsadO7U0HxDke9/ClwTEW+jox0N/OuGzraiu+TNrI1D3HCLf+8qSY31DTafdok59+Yh+NPYGsHPrrIzyHG39i/c2ZGPP4kibk0LeB8KIb7NQBPAGZbXu8lXANbstDM1cKYhCDOvda4TyBEE/jTOoEsbZQQrMKzsRgMoOTF25tEjhVjyBSaIPWzIvhM3gYTQfEnAWHQn6Vs9phXBm+T/qkT1poMOTw/ZOFElIoKxkPQXjU2ApGn8BzBsP4cWbxxInAxbMVjoAOg2SgMEQpNB5zXFYIZq4GvhkV2j4Sp+/JAh/koh4BVGdQu+b1lBW5ME74NYu1rWMmbrBOw2GAGohmieRlZcKZSEOPcTBjd/7C+HIEBqs6GrAeyeVM6CyQJi9nou3u9asnFDl6T9sxygx5DhRN8XQuRwEetUd7GVkrsLnNhQ4cgWzxoV4fKuVg8eTMiKycuVjNkhF54IUx5gBsodEhxpHMbN14nNu9+tFnqNTNcFs5c74mIQwnXaJHxosHE+z/M5b1s/oZaHTJi95xFuQlXXkOn37ZZmolyzGh6YyVY8E7fMZbe/HHEaKD71bY9R9ZA9eCtkiLrxnIyrg34eC89Bv8QLn0F6QHYuWL8UGmxgN5Wc2Z7HF6xgdd039ooWm7lDMxVtDDO6etzWTJyQkci/FI/vovfSqoW11+n2GiaXKXfsh3vQ2EV7lgp85MzE50PGVvZgQ6lGe05kBLEBOknXc71HkaZ5LiChSPEbYaMFu0QjAoZ9vE0W9lYrAySORlANm/dchsFmMJa5ZjMBpM6rHiIFOG/F73uteidAYcheKwLccNYNtjZs0U12AB6rZ68A6GrSP0KJGzGwfP+Km/1ONRRrjNfNAxk2SQOAxl2yYxuA1+T+7Jy7DKO6j9INms0yeYpRq0ZGug2Xe+5ZZbloGmTuXInuw4NrSslPzwzDkTZ9JAgat9z3rWs5Z2dTgfr5wJw9k2F96V6czE2CJbhkMb9Rm+4h0flUFv6v5RAJ/RYbA7gO9prCmj6Ls3MWNQfFuOgdZn2mJm658UJgn0Bm1Gi3P1NJE2xCODR1/JrFWQYHyaGN3//vdfnorLwSqnnZwIHUs/pOsPjgn/HAI60oFJDUdtlSLd2KBznvI0ZvCNX3pJZ40BtLRLv5MDJ8jp0PGcpKAs3pML/shSmQCePLHx4vzt7ne/+8IXfO1NxoL75AEqKxboPf3iBMhWXm0lc870uc997uLE5eHRxNBTiSaL2T9t9+Sdceke32TDJijP+apPv8869LVtXPIn6+QBd1uIVm0LdsaZqBtz8SAmSDEloUAGppl5DYCfEGbc9XkB+id1Jnhvxk5pzQp1KkNFEcxQACXQ/q7VqQ6zI1stnlAyS7PNNTuUgpOXgemxxPn/Anmc1QMf+MDFMZsVA/QpsmWz2SqDiw+Khkf8+p83h84Y4kMZCmt2qD4TAfhwHXZTdAYOHsOJFzxlXAA6Amfk0WCTiPpcudotrfZXzr12lzZBGkdqJcb5wrNye8pTnrIMIkYBbe1nhHqqhWE0Fhgj4yFAT3DoyrAy1rPuVibkhy8Gg6zN/ugsI8ZhW3GrI3q1aYaTgpUJ422biyNl0BgefKA7+bXN5RDWI9P6MD3zDpM/iJqYcBzK2CYlS8acjuhnffyhD31oWSHQBzqoLbXHvY/HegrJ6hNMHsiQPpiJSyMTzgH/TWqa/KiH8aN/yqqDHnJuHFOgrZwG3bU6s2r3AAaHxaloB2Mbj+hrB3BPBjmGQHog3ZYkuXEmxmCGvXJ0SnsEcpKGriBPzElY4Tq3sp2lfHoOPIxCFnQlp8bxWIkZZ/CUsdo2ETI51NfaQ+/YEKtw4372vQCkGYNkakLJyerX2dajIFy8RBfshDNRL2HUGQnMvZiymdU+/vGPXxQ75ZdXkFY54TxBPSd1JkB5CmiGa1lr28PWlFXCnBVFk0y6zplQaLMwzqj85EWWthe8nGTAtzWFtlmpWSMj2uASDDYrDY8nG6xmqWaf8A16dTIOZkSBNnAUDKWZmq0z9XIM2iPdjIlx8zKd7bS2KgHFVrdyXi40kODrS3na4x4OiNeDQLvlJQPGlTOxRUU+2u6Q3JdNtUvbbek1M1fGNted73znRdfwnC7iR1utuNoCk9ekwDbdZ3/2Zy8zzdqkjK0VM32zTY7MOYLBqy7l4OArY1Q7asNxgCPjrDmTViZoREdcPVb69s2t1NoOAZyJFSJDxDCRPdmQFadDB5wd6SePvKKBVg5b2xk2OsGZ0O3OqNRdPeRiZWQFTQbOVNRrQmWCZMJDz0wubCfBVy/68K0CbVlqZ6Bega2gv1bfJk0Mt3sOMn1n6OEmc5CshNKTl/5QLydJN+5zn/sshphuAWXgTHqulSFDY9YEhqxNvjg7sjF2QXWKtZ8z8DBF+mW7lO5YaQO8618Ta/bQAT85sQdkQ44mqOpGE4jR0p/SOSHboq368BruURAentEMduoA3uFtB2sUJwEwugasgclAEUjCB2LCkDbTzwvUcdptLu2iXIyZjjVg7Me719mCerS1DhObkTD6FNpWllkXevDlo092DANnYlCb7aEj3UD1cqT9a/UbMA0URtaTKvZzzaAYAgNGnbYu8GZgUGR1OYA1a6Ls9rzNAhkd+7sMmzQD2PLcjM62D1ra1eDDL2diBt/KRDr6hcC1vAnRKLgXOAYrI4YOv9KsxszwGAKzMbPeDKGyDJFfMTMYDBUeMyiCgWoVwtG4J3P8OofiPFuZoKWcPmUke5pHG8mAbOMVb+pxL14buW0AD7bYjBFnHpwdQ4SOkKwF9BlxumEFpn4gNoEw+bANZ9ZMXxhBBs7OgIkF2latzs+sYrSNDtYedTGSdMxYVl5e/SimM+qx2iAnzssZDv0nGzpiRaOsyQedio46yJoRTI74VK/Yqka6MWWVQiaeqLP1Qx+Td30+g7RkBcTRlkemZESX6UhnkvIaf3DTGffaQq9MFI0F45ITZuuMuWjrQzFZW5mQBaeHFp2x2jeOADwrbasX+miFZqvWysyEzRcZOGi0gTYIeNX/VpO22oxzqxQ8orktoANqY7AzKxNCoySCGSNBSMewTuOpzWbsO2doBTiCRhUfRzAnAfWexpnUsdpIuc3kLMkZfrMEgzOF1NZou9fxVgFmXhTP4JGOZrFg4JsBedekA1n1cSY33njjVWciDb5rxlcZStqMvrrhtMWBN+U8GcbIMCwZFHm2uPSjZTh+zditTNo+QhevAB0zXqsZRgwf8uDIq37xLAdcw5lpAK46rb6suPAkcH62UtTVFkFbDWjPA/iewEquggEtD168wLF1ps3ow5cncLJWXPC1i1ytjjz0wJnBiX485Exr91EADw1GgeHkJBgafSVPmPSs2DhFMjDTxb866SHHYPXfNhe6VggmB1YiJhPo4lNfOT+wEmXw6TBjqR4ytV1qK8cEA53qN6lhyMy+PaShfsaWAfTZG0YX/WbleHetH2tP+tVZFzzpdJazM+HRJg7IxJS8rU5sfXF0yUNYX1dn4889HsXSTKrYItts2p7zT1cE19HjwGxPmbRoO6dvLFitkhm6lcOzCQ/ZcCBoyzcpsSo2kQbwtEk/cshzrDp/5IyMfzLT3voMPxyYVTSdtUpO3wTlt4HwlEE32BlnwmgyToRsVjgbR6EJwEC0z51giifoSOE8QZ2nXZmIDWDbCZSMQthiYljNMFKO8GunfVszLmcmZhiMkjwBLuVgwM0K7YkzGlYYaFBYzso2F2fCYCijLF4MPltuZjuUPppiim3wCnhjOMy6HQDqL7ThwmN09RWDY1UkOEBkADpgrZ/w4HDczLQ34OWTibrwia+UXh1BNKQDee7FDmXNzshVvvIGkq06g1kbOVlGXn0CZ2Cbi+FklJQraJ9VDYOtnHqUURd8bWa4GBx58D1t41FSs2xpjDFDSjZmkxkL9MlfP2kvg+V+G4gHzsRqUJ8zzmhLF8Jj9BkbB+D0Qx3yxfgmf6uNtrn0gVWMNI6XDOHJ43gcwPe0lj5mxLWFMzExMkvm2NINPHDSjCAZKAOfUWXcpOszuOoiM+3gkFoFSINHl8gz+QnarQ0mo03CkrtVvAdLjB9lomu2Lz9ZoIPf9E2AL5RPr62MbBPFV3UJXZtg2dbiwMlNIBt6ZDVL39BTlzKMv7HAseoD+PJ71J9OAzTUzyZyVurCnzFpAmMr1woIb56M60wEDvvJ6HOsyQ/Uvm0gvGQT7Mw2F6BIhEO5DHIKoUN4abMRM/EaPcMEDRTOE9A/zZkJgG+wtspiML1wZtVBySlYHQVHoCy2WMjDNpeZn8Fq1iPYQ+VIyMmy3qyYUlYPudrv5kwMOrNAhiHeDSJKaPZtL5xxYOzNbigeWmb7lNxWhz13EwBGFG24DKf9bP1lD9csl5FkfMw8zc4ptH41eGxJqM/2GsNFDvFq9kXO6HAE6/4mn/paOv7pjbLKGDBWIOTCWMDlTM3yGFQGhWzQVsbq0NNcHe5Kh2Nmhy/bJbY3GE/16A+0tdUApr8Grpm0CYF2eeSZgyBDfWrmyVgwBhwWw6C9ZGILhYGmA+geBdqsXWRpwsVhOzOxpUbmaKQX+CdP/OOBk53ORF/It4VjGxU+mdAx7SY3bdA2fYxHExW4ztQYRvn6RJusfq1oyJSclGPI1WF1iIfq1294ZuwZU/zSJXRscTH47AIa9JtuM6T6gdzIlU4aG+gbH9qvXn1Hz83U6QSa9IBcOEKrAOcXeJOOjv4I8CakZ0B9aHGIJiecdLKhT3gnX+OCA5CvfI7GAye2schAW5XVh1YwZGCCFi1jUBpnog30S9/QOf1tTNJFusoW2EJ0vkIO9NFET5vVjQe86WNOJ5svHAfCR28nnQmmNNSgIGTbFGYxlMuMaxqU2bnulRVLu4g2qOe0zsRA0sFAWQriDXj7mAxR7QkoHYNsVuNgkdGzMqBUto/MAs3u5BvklsYUKYPLcFkSe4rGY8W33nrrYtw5hwaPOg0UShhN/WEbi9Ewk0x54FpFGdhwzVwpO3wzNzMvLyIyOgaGPnMg7gknM3bXZm2cmm0DbaKMrQoMImU5GYPJ4Fd3fb0G9BkPTs4TLWjd7373W2bV+siA1k567qyEAWzmx5BZcTgktzLh1MnRvratIDKSb6/bNiB+tdHMr4NoM3FOCM8GOJlwDNrF6DDG+pXxgWtlqT5Om4FkFOk9nq2aGMOjgP4wlFbznBaaPlSJd0/rcPR0Ar8MuBkuA0dOyVFgsK12bXGhwdnqb07DOCQ/DoXxNTmwutTfzro8iqwefYYmnoxTzoRuckacJKPqsXXOzFYrA6juDKzxwJjSW/yqyxmemGNncG3LaAedsAJjYOmoPP1oxUjH1cFecGTKmkDpF3zRE/VxnmSvf4wDk6XGm/z0HOCNDgfGiDTjgWzIQB/QafKl19pqLOjb9Axd9QsmOc7uOA7yNMmy0rGCYvyTB12mR2yD9pK5fGOULKzS6BZ9tCKj2/qZDWibUf3kjG9yJz/8GhONqeOAdgBtmmUXZ2KfmFImzMuAOtCgophmHfYICZTHlR7jNSZY35816IiUAQ/ubcv4KCBDV/5xQMdGi+LoWEaGM2FI1m2iEAaArR/yMQvTZ3DNgigth2SLhHEw0zKrDlwzyIypQYBOj/9O3tVr9iPPABNTSMbdLC8cfOsTdaEJR5CmPL6kz35TF4OKLn7xKF9bDCizW/TUo70cKAPCEJi5qXctlyCeyBVtKx56Q0bkw5FoJ1kzKk1MQO0lEwbJJIYczcyt3PAt35aBoG3K4FN7pCnD+CrTzBQP+opc1Ic3fUD+tqXUB1+69rq2JaK9ZHMU4L9+RQtd/OMdX3igE/gV0MRz/RGQCVmTlb7QB/pFurYra2KiHeSAT+2Ho8/obrqBtnxGmlHzUAIe0EyXlI2H+kDMYMMlNzRdtzrWt/FC1gI90kayQ0++vtcP6qrdAjpwpp5wQrZzjTl0pMMR8DLHvBBIF+CgTWacq0mJiYf7+pzecR5oVxbUFm2FSz6CMa4ueHRv6rJ+JXO0yFA7yYGs0CJ340RbpIv1oTbUbm32IJPVGHrqkpeT3QYmnvLKgqvOhDImtCq/yKChYvUTIsUnJI3XIfLALHNRIaUSJyMzXqsDs7Lytw1AGZ1gIIgN/p6AoRgT4BYqP2FN/zQhUJcBZ8AwWPWPoP3yw9M/+ixDBSd+QeUEdODDRR8OhTc40JCPBrkIBo8Zu9nYpPOJGkAyANLSAemMifdAOIh12YsI+qPr+NMf+MOzvnItLSeI79LgG7N0mcFi1JVjWOGtaacjgXv46R264R8G0VG/4BpfdGzqWeA6numVlQtnKr12Kl97DoPowOWstJXdosvSARpodj9BebzhkVyTDxAfFWZ5W2LJSkgOAdr1g5W0FTJnLF2orduE6KHv3rW6PaF35Y53vOPiFRE8DtGzDIQy68bgOu2yAqEluK49yXK7291uWeYS5HE7AyiX0lJCT8BYfppxSJNXfdUPxNXX/VmGaKpztg2UNvHjVZ+FV17X8S/An8oYTcpePnpmWWbElu9mcpX/RA/al1xrq3szcLPazmsOKntZoX4s6L9mvUAbjFd9aDLEmTBYVqfw5MPV11MXXE+QlkzSkW1hTS/5ljbrRJvRt6q0HUbX4KaH0/ZcC+I3vFmHsOZBHA4Id5aL3lGh8tqylpX06Iq1S5uMI9u4zidN1tWlbGW2CZWJvnv0F2fizIQzCfmiQZ2YERJk4BrTMX4ZMAUnBpaKzkzsb8/Bsg1ER4y2spao9kQ5J0tvMw0zDvKo/dWtHMXo/iwB7dmOeQ3UqZ/E8uKr+6C0rtf9GkgjAzTBpMUoOX9oaX89QDIjD/2eLN2bUNju024G7TIg/tZh9p3r+Bd37SzGlo1zFZMtY4OhtspCA8BtPIE17WCddhDOGuAcFILaEs/4cs7R9t9sD6Mbj0eBOpSpLYI2SlvXv8Zb5yt3HF1XXrlozrTaEi/slG1X21FWY2zOuuxRAI+clAFi9KUv21w5kxp6WYChhFkDE8i2jT0PqG58Ncg5E2cmDgBPAiluwHk4mPQkhrd9LZuTg6BeZQB+MkLnCeinE8lAXL0zfYK0Qvdw1/ilV4cw22W7xN7v9QbpkbYmD222GrE3Ln8XAG+FgwDPtqLaYrFH7/DZhMgDCJ5mc7DsEN/kZ01H+bkCOKwe6VMP17jdyxeidxRYmZD3Gh8NYy26RwVADk3wpBUH7skoqKz0Ncxy14JoBOt74J4+aY+jDA9msDEeHsEPvoU1v9uCMuSnjo9zJgjWaRcdgikQcfmlzzIXFeLHdQrBmVy5cmUZNGS2rdzWtCigjpBudmRbwJNGntowq7OXC2+2nyESohftswgT3Ne2+J4gP76C6ByEPyG+k5s2OjNxHcjLCJHRtjLe5TDlKWi3ga59QltHyecigzq3AXzqF7wrVz8xSs46bBk5A6S7rjvMprO1UxlQnbO9az7cHxQOg21w1UPueJr5tUUaPuEFk94sA66VNsOEg9KAtGSxTQiit6bpLMfDAc4ePfXlrMQEoHq0s3Jr2gcFAFf/pwPuPV16xSfJ7dUmxMsIDbAJMQkm7mUEikc+CbNtLrOwg/APC8onZ9eCtutQYOB5iqUnnpo1NAiVgz/lFe2zCBMOSw/wNXFqyzr9MJjltG3KRUxRKT1wXZs/kYM2CsC99s1ZsLav5XeRoboPg3D0lz6Z5eof1xkZcf2qTPSF6AUz/SxAXYVZn9AYCvApNM7i/zj8wE//g+rruvyZDqTN+so/KqzrmnQKbIpVo5WJrb0mL5UVm8TUf0eFZDPrAssE27PzHnH1dqyDmcsI6nb4LMw0sTQvoAnlXXSIh+4dMHqay4t7E++ooE3enamt0fVMuGt5Di7DDWem71KIP9f4nX1W+lFhlpvhODQ+UUJtPaht7j0BdZAsLiqs+RMaezMNLn08rC0FOHTX9bpdykR3pp8mRFNwX3vWeKV5L0UZPAqlH1TmqDDr0o/Cum3JzDUe4Yhn2ePIA+4M0qJTSMbVfVB9s/xxgjLR9wWPKx5v9aKQN1a9VXnRwYtv9vHE18r31utB+ecd1O9zGUJprslLnk+TT/xtgvZ03adi0CqUdxDtk9R31gEP+Jz9Fl8HteOoMPGLvaXuxTcvA5LRlNknaqAz6Y32aGN6Lc117b/MgIcZ6udCePp86sDMOyrAPev2ooWfwqSN1zl25OsL+rXGOaktrH7lr9W2w/DEh5VZh4kXvdJqR+mC9MbSuqyXH6WXdliAexC//+/+OZv/C1UQET4AjbaPAAAAAElFTkSuQmCC
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
iVBORw0KGgoAAAANSUhEUgAAA7gAAAH4CAYAAABg/kEeAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAANqlSURBVHhe7N0LeBTV2QdwvLW2TbVob/hJxSItWm+IqCAq0aIoLaCIyMUYqEoQEdAaRAkiBFDiDbyAl6hElKjEGyqooFwUVFBjEREVEBCUqyIgCJj3m//ZM8ns7MzOTLK72dn8f8+zj+7skp2dnTnvec+cSz0hIiIiIiIiygBMcImIiIiIiCgjMMElIiIiIiKijMAEl4iIiIiIiDICE1wiIiIiIiLKCExwiYiIiIiIKCMwwSUiIiIiIqKMwASXiIiIiIiIMgITXCIiIiIiIsoITHCJiIiIiIgoIzDBJSIiIiIioozABJeIiIiIiIgyAhNcIiIiIiIiyghMcImIiIiIiCgjpF+Cu3eZlF6TKzk5Of4euXfL3C179T9Opb2yZe7dktuljTSuV0/q5ZTJOv1KWto8QwbUN/YT+1qvj5St26NfcBKy71YNe5dMkNbqWBiPxkWyKN7hCEQfO6dzNc4jd8g0WfWz/hNSIXs2LJTJBd2lTXZn4/Xu0r5NZ8kvni/rfvpaZgy6Uf9+5mcZrzdvYHyXLGlsvK/q7/aULm2aSuPsvlJU9pFs2FMR+fOJsmeTrFyzzdjbZNor2z55XHKbnCkFczfpbYm0SzauXCvbkvslEiJp5+zexTKhdX1dNrSRokXb9AtUExXblsrzhX0kZ/BdUtTnXOkwaqasS/Q1SNVklCvLXpDC3N4y+P4x0qdlFxk1a40kLAzUiI8yqWKjzB/VXuq3K5ZlKa3+7JAlEzrqsqKeNC5alCbHjCIyse4WnhidGnuN6vz1Ul9fg5lYP0+UNL2Da1Twv31ZBjbED9hLSlfv1ttNxgm/bJ5MHdVdmtTrISUrdunttaBipZR2bRSSk2yXrCjpYRxTrwRXC9V3q47NMregZYIT3D2yrqyPZGUPlkkzP5TV23TtY89SKe7Q0Dj2raVwwfeRbdbz2LIPFVvmyai2nWTYTGuFa5dsWPiw9O3QRprF/H6Rz6xXr7HklK3W20xmglhfmuROlmU7ExQlKlbLtL7NpV5WJxlXvlVvTLyKDW/JLdmNjH1/XD4xj2XC7JZ10wYZZUhDaTvuA6PqFgbJOGehQrbPvUUaMsFNjIr1MmtwK2kwcIZsrthk/GatpV7T4TJ3a2UrFtWiis0zZXDT5jJwxjdSsXWOFDStL00L5kjySjK//JRJO2VV2QBpktVWBpYurp2K//a5UmDUz5jgpqmMqbuFMUanSMUXUtLRqFMywXWVvl2U9yySosZIcOMkYxXfyIyBnWu5QrZaynIah+QkMxMhnwluqL5bdWyTRUVtEpwsoIU7N1Jx0lsi9LF0SiB2L5YJ5xfILFX53Sbl49pL/bxpsj6m4rJXNs8aKk0DJbhgNmw0ko7FS4yQkQD6DkJWk75SujxJYWf351LaK9vjztf3sqDwJp/ns91e2TJ/rGRnNZNepZ8n5rgkXTLO2Yg9i4qkMRPcxNgwTfpkuV2PVLv2Gj9Pf8nyHQdTyatM2ivbyu+XDk17yfj5a2svudT1s8xIcGsSQ9JVptTdahijdy2Qwisztf6a6fXzmgt3gis/y9ZZI6XftLX6eW1gghteyUgW8DcLHI5vnATXGmB/XirF5zZwrzj89JGMa9XX9ve9ElwzeTGup3OLZVkobiLtkGXFN8ggrzsUjscjkzHBDYV1ZZIT53qk2hQ0DqaRHR/I+N6FMm351iQPDfGQSQluRsYQJj9iXCE/lY+XVhl7DPgbewlhgvudlL8wV1brSnrFiielf/FSI9WtLUxwwysZycK3MuOGe2TBLnv1I16Cu9NI5kZEutrrBLde24myZLdTFQZdVM0xuKYACW7rCbKkNoasJ8OetTK/qJvUD2NFtdqY4CZGhezZ+LksWvS5bEzGuFgmuGksxAluusiUBDdjY0hdT36M8n3dXCnq0iSDjwETXC/hS3AxtiD3nqrKnXWimz0bZMmsUhmX31Wa506VVevelgl9WksWKvZZrSR33OyAk3zsknXzH5YBHbrJgMLRMjT3IulW+IIsixoLGOQkw+RBH0lZUW9pkfOgzHx+lHRt0UZyho6RsSOHyI3jX5PlUX97l2xc8qZMKeor2c3HypwlZTK4fVPjmDSVDqNny4bKr7JLNix6UgpyesnAwrFSVJgvffqMkMmLvrUFHzOw95JHZk6VosEFMqporBTe0EM69CqSacu+jxzHSm7fDYXH2zJxQBfpMmCEjB3aWzp0GyXPV/77yH6Xjhsk7ZsbFfGdRhCZ0FdaZOH3bCAt8iar8ZQV2xbL04M7RhIv4zu1H/yMLIkZZ2n8BnPuk7xufaXg9iGSk60nWwpaKa34XpZNK5JeHXvL0LFFMrbgOhk0/kWZOvJM52QBgW/iIOnQZYAUjh0iuR1ypfD5pT7GO7lNiBAvwUVle5WsUd99u3wyobNxzjaU7MGlUr7BPr58r2xbs8pWKfdKcH+SVaW91d88d8LHxjMvxmcsmSqF+cNlfMmzMrVkvAwzzpX8nt1lXPl243Xz982XLs37VV2f5vU3sIM0L1ooO6Ouv9aSV/KxcVzwt5/R57GxvXFHGfy0013aeNfez7J1wX3SS02iZQSwek2kTZeekYm1Kied87p2cMyXyKzScZLfJVtyY46b3s8O50euz4KBkjfsSVkU9XvgesZkYFdIzsARUlQ0UvL79JNhkxcmZkKvQOdskOvE+G7LXpaiXl0k1/huRWMLZOCgB2Tm1GHOCe6eb2XR5FuM4ztIClFe5PeVPjHHwo3bhBhuk9XYf5fPjfPgQenTApOo1ZOsFlfIuDlfB6hUo6yaLePUdx0mA9q3kuwBd8jDhZi/AZ/dUNoVL5W96tx9SoryzjXO3VmypGyotG+cZRznzjJ6rjncwM8x3iBzi/IkR03yYpn07ZrSqsmAanQ8TYk6PxN4vF0mMnSdHK1a8bqG8WCLUenNtZcbuXJN6RLZkIrz1Limlzx9k3TIzjWu6TFSMKC/5few/017meQnztvK5lWromNv7niZsy7IeWbs1balMq2oj3TMHSJji4x9HjhYxs98RkY6Jrjxym1/IvWCzpKdY3yeUTYNyHOoy/i6huLFsR98xBCT3/pVPCiH/NSZEvW7udXdfF4/6jy9XfKHjZeSqc9KyfjhMnjEDdKzzXgp9/VT+vmcGsTouPu3WRaM62f8lp2ljSrD20gXPfFmbtFc2aL/hO9jUQ3qHC4cIsPGT5KpUyfJ+GE3yYj8HtJmXLlxVppqeq3o37gncom7ZHDBKFXG39D1IulV9LLl7wSNwQafv7/3tYrz3oi/eTmSV1AoQ3POlw75j8uCgGVQdYUrwa3YKitmjJb2TZzuXthmj7tosBT27ioDHpgqs+a+JpPy2xmBs40ULvhOv9+LcfLNHCnZLYfKDPPHqFgrMwa1kqaDplvGRwZJcFH56aMLVGMfszpK0cLNuoAzCuPFj0iv3paJgFQw1hdp/ZbSpnVL6Vo4XkaiVarBED1mM7Kfbc+9XeasrzppKra+K0Xn2icqMhOhJtJ1/AJLJWevUdjfLi2bXCnFn1iTXKfvhhP2dRmW3U4Gz1it//YeWT9jsDRtOlhmrDe2WPe78RB5ZEKuUam8T8pmzZaZkwZLdpaRaN3/vDzbt53xfSbJ9DlvyUtFuUaFs7F0K11h+fwK2VE+UfqNX1SZAFVsK5eJXZtJ9qh5sqXqjfHp8aINuj4siy0XfWTyJeyj7Xzas0ZmDusgLQdPryzsKtZPl0FNW8mgGWst+xdEvAQ3WsW2j6U4t1nkHDEeWc07Sf9h98nk6e/LKsfCL16Ca/5e/idqqlj3kvQ99y5ZtMPyTXd+KOOyz43su5rpvEvk9628PqOvv8YjJsqETh2ir7+sznL/qyXSt2UPKSx5RebMeV6KcozvmdVbSldZ026/1575vR1a3z2vne2yrNSoTKhr0X7c9LifBj1l4mLzesBxnC5D+j0pX6o76/q4tu0so+as09eBoWKzLCzqIm2HvV6zQBnonA1ynTh9N7zfPOds56e6FjrJuaPekvXW8mLh3XJu25Ey02+gcpsQI2ayGmsZ2UguGlogvTsMkgfK3pC5Mx+X/Gzjbxw7WhZYz814dnwg49o2l9zSLyN/f88qmTawpWRl3yLTln8nW5e8Lq8s2SybLedu/TPbSOum3aXwoeHSxUjYGuTPEnQIDVQWud3BTcjxTOT5meDjbVy7zhMZ2idHiy4v/MXrBMWDeOVGMs9Tx2vaKOtmFEq/kmWyGz15XMskn3HeWu7Vu0iGFvaRDlGxN0uOLZxvVG39URMeZjeTrhPLqxohjcrvJ8VXqgai6ATXb7ntzvHz9qyWGUNulJIv9V77vIY845gS51xQgtSv3Jgx2GedKQG/m1vdzd/1g4mdrpdzi963fF6F7CwfL9kxDatOfH5OtWO03/2LVzdPVFniQE3A2cM4x8zJRGGrlI/raLlean6tVH6/+j1k/PuWpNIo4xeMahdb3/Ndtvk7vr6uVQyp6PeglJv7YZQdiyf2lAbZY2V+Cla/CUGCa2lZ69lemqNFK95FZs4eV6+lDJy2qupHV63LDaVjyRfGT+VNFY5NjEQsqvuz7tNfr72MKzcLyHgXkQtV+cmSpoNnyuaoncEEQ51tEwHtltWlvYzvY7xfnfjGhTKhhzTvOFHKjYI7sp8nSN60r23fyyhApw2Q+k0GybR15l+LF9hXSGm3xpLVsViWVXaNdfhu5uy59rGcahxLQ2k17iN9h1Dvd1ZjaZn/sqytDETfyowBJxj70Eg6WAoXc6mShgVzBfcII7Ybx6Od8Te6SvGynXqb/l5ZeS4Byc6cmKmdrcABjH1tbTufzFn7ulg+EyKTP9VrNV7Kf4o+0v7oY+kjwYVIq3lfo0BBwIskuuoR0wgB5u9aX5rn3CRFRUX6MUYK+neSFi1zZWTJAp8Jl56ApWuprI56O1r7+lr23TwvbeeSvv6yGreV/Jjrz9j/rC4yvvy7yv2P3N1pKQVzN+stxp/wfe3FOZ+V+NcOVKwula62ymTFltkyrEVDaRlVwG8xEoMORqW7o0xYYmzV14HTZGAV66dJXv3m0nfaatvv5FfQc9b/dRKZPbaB7btBhexaMEoaRZ2f+lqoP0CmoRJmVfG1TMs7QZr0fUnW+fqSLuWkS1fHyO9inC9Nb5Bpa82KpdkS7XfmfMzRMEQaRL3f+J6LiuSE+n2lbK1tyhJL7FANWTs+kgkdW0vHCR8ZxypgWeSY4CbmeCbj/EzM8Qa3a9Kla32geJ2IeADxyo1knadI6EdKC/s1vc1IlJAMW4aOOJZJgeK8pdwbOC029nYskRW2c8KRngm8Xss7opNEwOQ9jaKPh/9y20XFBpk7LNv2eT/LtoV3GQlefWk9YbFxFP1eQ37jWLxzwfxOfo+7i6B1ppr+borTeez3+lkr0/q0kK6lK6O/M+po7YzfJvYw2QS5TqsTo/3un8u1rCSqLHGgJhiMXf0FdZ12+nqp8bWiuH+/ilWl0i3LPqmo37LNx/H1da0a/6R8nDQze0lF3qTjTxPJLVtlu6YSL3RdlFUFrWWcBNf8EU8w3mMdB+kSoJyZXTrbGSdaVbqlbJ0l+Q2sgTfeReQizvgsdUJEjZM0C+DoJCACYze7GK85V0AqVpRIx3oNLBdRvMLc/FttjcLfXCwh9rtFLpwsaRbV1QI2yqx8oxCvLITNz7L+PdAVnZhCxOk4GsFs+o3SsuWNMt0SRAKNFVRB71ip1/AWmbvdfjk5VLp0ol+v2ThbVxynynIQ+vv53e9Ke2Xb6g9lVlmxFA3oELnbERNUzWPtfE4Fo78nlqCYNM9yx9govMpfkzdXm9/d7VzS39Pl+svKNX5f688Qcy0Eufbinc9gvu507Wgxn49/k2d8vnU5J9gmy6YMkJZtIy2PPy8rlnONgrtqXyzMltLqTugV9Jz1fZ3oAO5yPGLeb44Hd6xYmXfq7A1Bbpyub4NbuawbAU8oWmh8UpVg44SdZ8uNlItNpU/M5IR6Hx2Pe8CyyKmMT8jxTNL5mZDjDW7XpNvY8fjlRfR5kYB4oMQrN5J0nlaskrLcJlKv0ajo+Rl2LpUpeW2lrfWuUcy5U9047xJ7Y34DZ5GKaD1bo7MWczyClNvOKozvnZtVTxoVLrAcywrZuWyK5LXsJKPmb5QK39fQjhrGMQh63J0lrM7k83eLcDqP/V4/kf3KanO9TJq3suomhG3+G3dBrlPzOweJ0X73z+VaVhJVljjQ53ubgY/LvFV6+CRs+1heeHOVca7U/FqJiPP9zOskqlz1W7Z5H19f1yq2rHtFBrVsK4Omr6n6Pm5laRKEcJIp40fqM85yoaPAminzKk9Svz9iPOZdxnMlv/hZKSsrq3o8WyQ5Dax/J95F5CLmgrXAa1n9ZdoGsyg0CwCn9YDN/XQqnA3qc+pJ/QEzJFJ0xCvMzdes+2X/bmbLdANpk/9Q9HEpe1KKcoxKeWUh7PZZHhUdx+OIsRqz5aWSCWr8y5XtjYvPbyFknkeOwcFhX8w7jW3ypTjq+5XJs0U5RoJb3cJPfz/Pf79LNq3brM8tO73+YUxQdfrtamDnEimp7CKNcYQ5Mnj8K7axIW6/b8DrL+ZaCHLtxTufwXzd6drRYj5fVzpc/yaY14Hb8dbHoP71MmNzdJXGl6DnbCWv60T/W5dzMCa4m9eC4zVpHtsTZMCMb/W2eGp6XkQErYBUrC2TXvWjK6iRVuXmkj9ro95i0vsYc9fHymdZ5LT/CTmeSTo/E3S8q75HDcv9uPG6BvFAiVduJOk8VRVXt9/eJuZvJirOxys7YkW+g8tvEHM8gpTbTswGZLdzVgtyDdUojkHQ4+4kmXWmeFzOY8Xr+kGiMjkyFEYduybSJudGGf+ynzlIrPxcp+Z3DhKj/e5fvGNgqmlZ4mSbLCvpo+d4MB6NsyVn8H3ycuV465peK6Z430+/FnUu+S3bvI6vz2u1UoUaS/3mS5NlAuaBuLKD6onr7zvWTAgTXOOEjJrE53tZMGq4JSH0+yPG43RyuIl3krlwCYqKei1LmuTP1IPh4xXA6EqAQfku+6kL4Kw+02SD2hDvb5mvWffL/t2c3uPG7bOCVHQwdiUy8Uj9FrkysvglmVu+Wr5bGKDSZZ5HjsHBYV/0MQv0e/pinlMe+439zY1TwVbdmupbflMI8rv4U7HtS3mzeJjkqPEvuA6N8yhq3ITb7+tyPbhdfzHXgnmcXM7pKLH7ULHxE3l3hdkq6raPFtX6fPPOoNvx1n8jqqEqgKDnrO/rRP9bl3MwplKuulq5XQvmsXW6E+qkpudFRPCEC2M/20rXkmX672P5qe5Sv+34yi5wVVz2UQlYFjntf0KOZ5LOz4Qdb7drLki5b3A8LxIQDxS3fYQknafqfT7jSszfTFScd/sNnAVLcP2cl/GY++x2zmoBr6HqxLGqGBL0uDvx+b2UxPxuEU7ncZDrZ69sW/GWFBfk6nHBOHYNfY5PDfI5bt/ZwvEa87N/9mOwRzZ+/KGsUHPcJKoscYH5gt4sloKcbHUNqf3Laq/vbNb0WjG5lFWK02e4vN+xbIt3fAOc05isFZOl1W8lOSOLZdrcj2X1d+86l6VJEMIE1wa34rvdZ+lOGuRHdGPOLuan+128k8yF4wUbERmTaO3yFK8AiL+fkW5qQbso6zFcSux3i+yfd7cc988KUNHZvUxKujWRrLbREzxYKw8V29bKyo2x3YcqmV3D/Hb31GOBE79erP5+XoUnztNjzQnEnET+TnS3sQAFjqcK2fn5e7JoQ9WPU7HtK1lQeot0aNzAMl7I7fd1uR7crr+YayHItRe7D3sWjZM+lX8r3vmuVfPz414HZvegandRDnjO+r5OthtfF91bfXZRjnstmOWFn98JanpeRMTsoxf8Fj3ypCD/SukzdLQUDrhIsl1nJHXZRwhaFjntf0KOZ5LOz0Qdb9drLkC5D07nRSLigRKvXEjSeRokrgQsk/zH+WCJktkN0V8X5SDltjNfdQvf19CP1Y5jVTEk6HF3lrw6UzwO57Hv62eTfD6v3LJKh5HsrFogpcMuMt7nY3xooOs03rWoxVwP23zun/0Y4DgWRD4nYWWJg51fyrxF642alFaxTVYtmCLDOjTVc7jU/FqJiBOvzDI+arij37LN+/j6O6d3yJclvaR+VofoiQ6tn2ccmzUrN1W9lmAhT3ArZMeiO6RVVAtawADlqMI4/4ulY5Z9Vl/Aa5Okau3dOCeZG5egiIHvSyZcJBj4PuET8yKNVwAY+/LlZOlWv6n0ihmwvVvWlvWV+vV7Vc1oVvm3HLqD+J1kavcSKe7YSLK6lcqq6A+MvNZ/kg48QQvr2M+KXET28QjRk+FEJzRO9uoJe5wKZvvMnhC5w5MVM7Mv4LXh1SyU9PezVnqcqPO0iXRTs2o62DFfCo8900hQNukNYB5rp3MqKPytAQ7nPb57N8vv4/b7Brz+Yq6FINde7BjLPYvGy4DKO2Bu+2jh+vmNpFPJ57bCGzMvPiZ3vLmxMkDW71Uma23XQaRbrP03jNf13C7YORvkOjEnmaqq4JkqZPvcW6Rh1PmpA5TjhExGEt6rqdTvNlnP2uvF+byIjGPzc15ExCQOXnDHB+O+9dP4XM5dQ+CyyHH/E3E8k3R+Jup4u11z5rhfH+W+4lBeJCYeQLxyIVnnqRlXekrJcnuleauU3zdB3jQbNZ3KpGrFefv3C5gomZNMOU2sGDPzapBy24VZt+hUIsvtb9zxgdx3x2zjSPm9hnAM/MSxeDEk6HF3kbQ6Uzyx57H/62eOlOX2i63/7DGSpg4nxJzrdsGu03jXohZzPRjfzdf+6TvwlccAx3Gk6rUSvCwJEL+N/c2N+a0rZI9xfXTQ37PG14qif2OHITVBJpmKLdt8HF8/16rZGGUfL2+doA7lfJ/o/UmkECe4e2Xb8mlSkN3INnjf+Uc0/15MgHKl+9G3sEzjbVDLaQwqklmVLYMunxePumDrSX3HJUCaS24x1gvVmz0LAD0uM2o/0f0C09K3lryyFZbvq/9Ws3Mld/Qblll1sVTBUGnRpK+ULrcW1k7fzeyfn22Z8t6glg4YKsNnrdMXbNDCOvazfl5eIp2yGkjbCYurLlIj6M4b10vOzMJdqE1GnC2S673GAO7BsgLt5diomQl3yYb5d0sHdHey3ylTY3daSAvLMkGR32eSDBo+09KyFYT+flGVHgfqPG0oZ3bIkYEPzJIV1vFC6nt0cliCxjzWjWJnvgtM/60WwyznOKDxpad0L12uC1633zfg9edYQfR77ZnniHlH0tjHicMtFUi3fbRw+nxzGYyomVHx+eXy4HUP6a6txjW2qkzy7NeBPtea5pXJKsu5trykp1GJaiQdJnxsXLE+BDhng10nenmCY63fzfguG+ZJUYfIbLZRd3f3rJCyvJa2a0H/jaYDpGyV38YefQzaTpQlZgKHJWvGdZMmTneJHM8LnEYBEy6MfWzUTYpenS+LFi3Sj8WyOmocnsm9LA9cFrnsf0KOZ8LPT0OijrchcqwukglLzF8US7iMl45NjMpOTK8E/+VFwuJB3HIheedpZCmu5rYZco24svgxuW78B0bqpTn+zWrEed+x143599tEz3C95xuZX4S12u3Hw3+57cysA7WK/jwsLfLgLTK+XE+85Osa8hvHvGJIkOPuJll1pnhqUp961/i3TaXFjW9E13V2GwlLuzwj8an6bZ0Eu06rE6Px3fzsn76WzTLHeH1i/ydVQhZsHwPGb7W/beTGyt8VjMR1yURp191IfNWJV9NrBSLHoVl2bxltXa4KS/UMzpYmvUpleVRjqd+yzc/x9XGt7i2Xcc2ypJ7184xSbsUbRZLTNCvyedvnyi3XxxvDXjPpl+CqNTZz9UL5SHAtywRVPszFufG6OSmHXlfPXEooq7m075knRXNXybLSwVV/Ty36PFhKfd2FMwrNBY9Lvl5MH4PQ8wY+oLu3uX2e+2iMSuoCaCSdix6XB4fdJCPHFsnYobmS3WGwFC9YW3WyqHXCukv75g3U9+ySP0zy8+6xLUIO2M9JMjSnh+QVYNH/vtI1pyD6bylorRwm1xmF7NYlz8qwAYNFLZI+oLvxt62LL3t9NxTw86U4Xy/wjIHjeTfIeHNh+6j9biDN23dXC2xvWlYq15iLb6vfNUctsL/J9bOM7zXnfslr205yxz4uU0snySPF02XJ1m9lQVEXadK8nXQZWOJrbVeMBVhQXGCcO+bC8NfJsKfny8yxRuBQ51HV1OaKev9gvSA/3n+NDBw/25ZYetkZOfdwzlaez/Ukq3l76YltMQvKG1Cx64jxgd+rMRxDu7SVbHX+G8eteSfbQuT6d8oxj7Xx99X5nWsc12VV3yUQBJwbJPeBKVIy+hYZeU+xTCl5QEbl95f8iW9HPjvm9+2hfseNga6/VTK3KE96qkkd9DGJOh7xrj0Lo0BdUnqDZLfMkaEjb5Jhk3XjkOe1g3UsbZ9/TaksM1+u2CrLZ4xX517k82+SgQXFMj/q8/V1MLS3dM0bKmPHDpW8rr1lqMOC9qvKrolMOhHVZciD73M26HVilhe9ZGDhWOO7DZYBw56V8pmjK8/RqP0096NrXykYO0YK8noYx2RS4MXaoxaFxxJWA2+RyeWvyVjVkIkHhkesdD4vNi0x4kKOLvcxYUxnybH+Xq708l7m96p8GH8je6BMnI8y0lbeNeki+SON880osyLzIIDfY/xN1P47Xo+JOJ4JOz8droMaHW8Drsmnb9JlpxHbCq6XGyfPs5235QHLC8TrBMSDqHJBfy9bfSCZ52nFti9kxrh+0taMK0NvkIIHdbnqVSZVXrdx4nyg2OsnRpjn0BWSM3CEFCHWDyiUp2OOh5meYx99lNuujIrz8tdkXF57ffwLZahx/B9U16mF5zXkI46Z3GJIJR/H3VMi60zxfrd4dTe/189KKcu7Rh6Y+riMLiiUe4qflJIJo439HaLLSy8+P2fVW9WM0UYC5nP/cC2XDjxfWubcKCMHF8rkyiUW/R4L7EvA+L3uecnLHS9TS4qkYOQ9UjxlkkwYZVwH+Y/YyueaXitrZdqg4TJj/UajvC2UAfkjjetzhAzo0sNWT6zir2xb6vP4el2re2TjokmS376ZtMgdI5OmYiKt6bJo3feybtbt0qFJCzm/yw3yWMyyl4mTvndwM5lLqy8RZTIjMPefYFt+ipIHreR9pe3AJ6V8g6XSULFNVpfPlZeKcqWJn3UsiYiojmP8DhsmuLWBCS5R3bN9rgy/aZZYVzikJFJLisRZt1qNC23ucxZoIiKqsxi/Q4cJbm1ggktUx+yUVaUj5I5F3+vnlHQ7PpBxbTvIqAWbHbtAVWydL6NaYUK/qFGVREREFozfYcQEN6VcxjvFjKklosxRIbuXT5Uhd7ztYw1BSpy9sm3Z8zKsaw/Jn/iizFu2UfZgLNzGz2TetImS3yVXRs2yTM5BREQUhfE7rJjgEhFR5sKY20VvykslE6SoqEiKJkyWl95cIhsdJuEgIiKi8GOCS0RERERERBmBCS4RERERERFlBCa4RERERERElBGY4BIREREREVFGYIJLREREREREGYEJLhEREREREWWEDEhwsa7hKlmzLeBaslvmSlFuZ2nTOEvq1esjZesSuRriTllWOlhycsy/r9e8zcmTorkb1Dv2LiuVa3J6Spc2TdTr9bKaS/ueOZJbNFe2qHfUBvuxxLq9ffQ+NpacstV6exrYs0lWrtlm7HGY7ZAlEzpGfn/j0bhoEdfkrAUVG96SW7KbSrvipVK9Fal3ycaVa2UbV51JAp/l+97FMqF1fX0ttZGiRdv0C+kiPcvSvUsmSGtd/tRrXCSLaq0AwprFL0hhbm8ZfP8Y6dOyS7jXKE5q/cKumnUgIqIMFvoEt2LdS9K3SZZktR0v5TuC1jB3y+rSXkkMQNtkUVGbuBWaPYuKpDEqFzllsk5vqy1ux7Jidal0TacEt2K1TOvbXOpldZJx5Vv1xhDbPlcKGjLBrRV7VkhZXnPJanODlC75vhoNJrtl3bRB0qReQ2k77gPZobdSYgQr3yuMS+kWaZiWCW5E2pWlymaZW9CyVhPcis0zZXDT5jJwxjdSsXWOFDStL00L5ki4S/dk1y8ialYHIiLKTOFPcLfMk1HZjaRJr1JZvjto4b5H1pX1YYKruR7LdWWS4/gdKmTXgiK5MtWVtYqNMn9Ue8lq0ldKl2dASrFnkRQ1zpQEt5bOieqo+E7Kx3eVprkPycINu/TGoPbKlvljJTurmfQq/dyo0lIiBS3fI+Vp+ia47mVpbdJxqtYS3L2yYVp/yUr6nc5US3b9IqJmdSAiosxUx8fgMsH1xbVStk3Kx3VJs8paCGVUghuWc6JCdiwaJ92HvS7r9rBSmCmY4FZHbSe4qUkEUy9TvxcRUfpjgssE15tjpWyXrJt/j3Spn26VtRDKmASX5wTVLia41cEENzmY4BIR1ZY4Ce5e2TzjeqmP5CsqAXObGAcTHSyRWaXjJL9LtuSWfW5Udh+UPi0aqPdltbhCxs35OmAFfq9sW/KMDO5wvuQMHSNjCwZK3rAnZZHZnXDPBlkyq1TG5XeV5rmxCWLFtsXy9ODOkp0zRMaOLZABeSNk8qJvLfvgFoCM77JhoUwuuEJyBo6QoqKRkt+nnwybvFA2BLrbU8MEd8/XMmdcf+mWN1RuH5or2R0GS/GCtbZjuEs2LnlTSscNkvbNjQrKzrUyf0JfaZGF36eBtMibLJ9s26uPRcfIZ9VrKu0HPyNLrJNSxDuW9krZ1gUyrleO5HRpY/y9LGncprPk5BjPLZNoRfg5jub+50uX5v2kbNWq6P3PHS9z1lm7j9reH/W7GQnWnPskr1tfKbh9iORkd5b84vm2O3TVPE/3fCuLJt9ifMdBUlg0Vgrz+0of67noU8W2pTKtqI90zDXOyaIxUjBwsIyf+YyMdExwkTA+LAM6dJMBhaNlaO5F0q3wBVkWZDKRiu9lydM3SYfsXBk61vi8Af0dzuNdsmHRk1KQ00sGFo6VosJ86dPHfq1g341zqHCIDBs/SaZOnSTjh90kI/J7SJtx5bLX9znh77PcJfl8j9o+VVate1sm9GktWfg7Wa0kd9xsy/lkP5fMa9zcfo8MbN/RSLY22c6x/lLyyfdSoX+b9moiGuOYtb9JnnYaB5ygc8+ZRxmr+LmOq3Fdqe9/u+QPGy8lU5+VkvHDZfCIG6Rnm/FSjp8qbvmOSYlelqJeXSTX2O8io3wfOOgBmTl1mPGbOyS4e4zzZOIg6dBlgBSOHSK5HXKl8PmlVRODqc96SoryzpXmRbNkSdnQyO/SuLOMnvuN/k2M72icDxMHdJEuA0bI2KG9pUO3UfL8sgBjtx0TXPzd2TIuL0fyCgplaM750iH/cVkQVe4Bfqupxu8/XMaXPCtTS8bLsMEFkt+zu4wr367f48E45sumFUmvjr2N8qDI+L2vk0HjX5SpI890TnD9nHtev2M8ajImc7LFJtKmS0/js3LlmtJlxrcFP+VFpEyYUtRXspuPlTlLymRw+6bquu8werZsqEhEmfGtzBhwgjqXo+J53MnN3OoXfuKUqSZ1oCRdt+B1Pfk4JyrWT5dBTbMkq2OxLGPXaiJKMO87uBVfSEnHhrEJWMzEONZZIhvJRUMLpHeHQfJA2Rsyd+bjkp9t/I1jR8sC35Mg6LFtDXrKxMVmBQIVgekypN+T8qVRIKqZiFWF2ggutv2LjEtpJl0nllsqMatlxpAbpeRLc9ymUwDCZ7wuw9p2llFz1lUV7BWbZWFRF2kbqEtjTRLcrVI+foiML/9Of3cj0C1+WLo2aC+j5m/U2wzW2RobD5FHJhiJ8ID7pGzWbJk5abBkZzWUc+9/Xp7t2066Fk6S6XPekpeKcqWJsU/dSldU/p14x9K5UmaIezfC53GMmm3yIhla2Ec6RO1/lhxbOL9q8p69y6T0mi4Os1NWyI7yidJv/KLK37tiW7lM7NpMskfNky2VB6wa5+meNTJzWCc5d9Rbsr7yt98rWxfeLee2HSkzYyqizhzPSaMi8EnxlcbvYU9wjUrQzJGS3XKozDD/fsVamTGolTQdNF3WW3bPlR6r3KDrw7K4sqJm/N0ZhdKvZJkeLxr5nLbn3i5z1ld9j4qt70rRuZ1k2Ew9k6ma2KuHUYH7Xr0eYZyj44wKoXW/454TPj8rnqSe70aZM/duyTW3XzRYCnt3lQEPTJVZc1+TSfntjES3jRQu+E69OzJber7DzLjWc+xMGfFIkXTKHhh1jmWde4+8+uwgadl1pJRMf0vmvHSH5GCimG6lssr62ybo3HPmXcZGnvspD4NeV5ic63o5t+h9y8RcFbKzfLxk60TLvUxy2m/jX2/7WIpzmxmfb0s01DHsIC0HT68suyOV61YyaMZa499H/+71z2wjrZt2l8KHhkuX+vWkQf4s40zXxyG7nQyesVofhz2yfsZgadp0sMxY73nmRjhdHzs+kPH9HpRy8xo1yoTFE3tKg+yxMn+Led0amzGZ0Ll3ySJr2bTzQxmXfW5sQu/EsTww4sonj0uuce7FJLi+zj3v39FbnETQT3lhLRPqt5Q2rVsa1/54GdnFOBcbDJFZK99KSJkBFStKpGNM+eY2uZlz/cJfnIKa1IGSdd0aPK8nf+cEJ8ciomTy0UV5tZTlNI5Nely6VUZmiTQK26Y3yLS1ZlAy7wb3kJIV/ipkFVtmy7AWDaVlVCG5xSicOxiVzI4yYYneWrFSSrs2it6/CqPQHpYt9VreYakM/CzbFt5lBLP60nrCYmOPwCEA6Rl66+dNi0kiKtZPk7z6zaXvtNU62HgxE1zrHa3oR8/2zSN3h+zHd2+5jGtmFP7timWZWRep+Fqm5R0rWWipjdoBPVtjVmNpmf+yrK2sjJitzo2kgyWgmq3ODQvmSlS7v9OxhOokuIGOoznbZJY0HTgtdv87lsiKqL/hNDvldiPZamccg65SvGyn3mZUQKcNkPpZebaKE3bP73mqZ8mtP0Cm2Sux6vc4QZr0fcn2ezioWC+zBreynZPargVS2Cj6WooEf6PiVbzUOHNNFfKTUUloVa+9jCv3qtCi0j5SWtRrF52UbjMqh6i0tJ4gS4zzKvI5J0jetK9t57Q+dk0GybR1Riq8YZr0yeolpaujp1HCMiPtfCa4vj/LU5LPd3N7vZYycNqqqu+2eYYMqN9QOpZ8EbX/bjPjRrbXl8YthzicY/Ukq8P9VUmNUcqpnjENb5G5282/nqBzz4WvMjZgeej/ulor0/q0kK6lK6PPBfxW7YxrpPJCiP2NIjPuNrDtN2CCs1HSKCrR0MewXhdLuQAYK95e6rUyKtc/6T2w/O6qor7jI5nQsbV0nPCR7DBnbj/XKI+rLkiRnz6Sca0aSqtxH8lPelNcDtfH3vJx0qxew6hlqiLHtonklq3Sx0dPxNS1VFZHHTCcN319JLjGbzBrqDS1lwfK97KgsLUtwfV77vn8HeNySgSNjwlUXlhiiGoA3CrlE3pI844TdfKUoDLDpXxz7hrv9L38x6ma1YGSdd36uZ6M88PnOVGx/Xv5vvK3ICJKnIQnuJEAkCUnFC0Us0iEYGOjEBjyjEK8tRQusAbjbbJsygBp2dbash27fxXGPuRm1ZNGhQss+1AhO5dNkbyWnSx3QGMD0M/LiuVco7Jhr8Qq5t1seyXHVQ3u4FaskemD2krLQa9YKrBuY6XM79HWOL7WhRX0+2MSPJff1G27W9Litt0Q7Dh67L/r97VWHIzAO/1GadnyRpluSZJczzu/5+nPS6X43AYOSTbskhUlPYz9sAf7WJFKRb3YChPEXEs/yarS3sb53y626+HWWZLfwOW4WlWskrLcJlKv0ShZsMvyzp1LZUpeW2mr7hbslGXFXYz9d254itytaBBJsvXnthn4uMxbZVl/eNvH8sKbq6qScNdzIsBn6W3ukny+m9tPMM4767GLW+a5XR9u55g1eQGHczpB554zfJ53GRu4PPR7XclGmZWP5Zmul0nzVlYlFvKdlL8wV1ZXngT230gnA0YSWjB3s9piFfM5FSuktJvx75uNs3WX/dm4lIZIg6jzUX9WVCNDRMWqUumWlSXN0B1fb4uIfA/n38iBw7lSse4VGdSyrQyavqbqGMeca3p/s9rKwEnzZFVlw8jPsq38NXlzdew1FUU3jjp9N8dy1ve5t9rn7xiPU3ketLww/4bzeVH1eg3LDJdr3TnOOH0vv3EK/7b6daCkXbe+rqevE3BOEBHVTJISXL8BwI2uNEQFBjf2/TMLWqdKtp09AJktlm7/Vn9W/etlxuboao4zHTzj7EvkuDgkuCaMsXnzRSmZcIcU5l8h7ZsblQ5fCR+4JYguv6nbdpff1HV74OMYdP/d3g8YbzVbXiqZoMZrXanukDucd37PU3XXzu33MffjBBkw41u9zZn5O8dcLxBzLZl3Fc6V/OJnpaysrOrxbJHkNHD5O1YqIY1zXinm57hcZ+oY1ZP6A2bIZlSsSvqortRqvFnjbMkZfJ+8bB9/6HpOBPksL0k+3922VyvB9XGOKQ7fKUHnnjM/ZWw1ykPf3xkNjpMjXWPVOdVE2uTcKONftozjU+y/hVmmOscS1+u3Tb4UW68j4/FsUY4RJ6x/R39WzF1S8zg0kDb5D0X9jbKyJ6Uox0gcY845F67XR4UaC/nmS5NlAsZKXtlBmmfZzrWdS6REdcHG8UKvoBwZPP4Vf2Py9bnrvJ8O143vc+8bn79jPE7Xc9Dywvwbsb1MIpw+AwKWGTW9pit5xama1IGSeN36up5+SMA5QURUM2ma4OrPrFbhbgYVt8Ldyh6AzPX4PAJDVn+ZtiHZCe4uPdlDY2mRM0KKp82V8tXrZKFjME5Q8Hbb7lYps2+v2CAfv7tSdgY+jkH33+n9GHMUmRCofotcGVn8kswtXy3fLXQ57/yep6prrldFr6n0mbZWb3Nm/s6OiWnMtaSPj6/z34X6fm77bUL3QkzG4vI5+m9k9Zkmapqoiq2y4s1iKcjJjpyzeGTZxoS7nhMBPyuuoOdLwPPdbXuqE9wEnXvO/Jxj1SgPA33nvbJtxVtSXJCrx9TjnGpoG4to/y3MMtU5lsR8jj6vnI+hndv5YB5rt+MQgNPxwYQ9mPSofivJGVks0+Z+LKu/e9fxXKvY9qW8WTxMctSYycg1mGUbq+soaIIb6Nzz8zvG43DuBy4vnP6GldvrAcuMml7TvuOUn+vTZN/XJF63vq+nmp4TREQ1k6YJrjlTs5/ud7H7h3GBrX11d4wNQHH/rdltK+ldlCtk95eTpVv9htI2aoIPazA2AsiaVbJRvZag4O223eU3jdmOc6JP5N8GO45B99/h/buXSUm3JpLVNnpCEut5V7FtrazcqF/ze57qsVjOv7nZjc5HF2Xj89Bt3l8X5SDnv4u4+22K/zmRbm76N9z5pcxbtL4qka3YJqsWTJFhHYxKqHUco+s5EeCz9DZ3ST7f3bYHLPN8n2OKw3dK0LnnzN85Frg89P2dt8nn88plQ+UJZZRnqxZI6bCLjPdZx5jbfwscJ3Td9NlF2dd1YHI7HzyOQxAxx2eHfFnSS+pndYieDMh6rhnX2pqVG+SHz9+TRRuqzryKbV/JgtJbpEPjBt5jgM0hC367KPs+9zb6/B3jcbqeg5YXbmWCKUFlRk2vad9xakuAGBC7r0m7bn1dT36vbSKi5Kl2ghsZA5OsBNdI8IwA1jGrkXQq+dxWQGMWwsfkjjc36ucO+7d7iRR3bCRZnUpkub0Q3vGB3HfHbImMwnEPQPV7lclaWz2gYm2Z9KrfRLpVzkDrRQdPh+NhihwXe4JrBnf7+CPrZCD42wV6vxMUvAMG9Ugrv2U7KmUDdIt6oOMYdP9j3x8J6PYxR9GTzuxZNE76mPvq+zzVFdD6faVsre1XR6WxV1Op322ynnE2DnOSKWsyaIqZkdw8/2Nn8Yy8Nkn6e1a0dxiV0O6SldVTSpZbzyHYKuX3TZA3t+7VDSlNpVfUeFDYLWvL+hrfu1dk1nHjeOXaZ/g1/sUeYz87WH8313PCbLTx8Vmekny+u21PdYIb+Nwzfo9N38omX5O2+Cxjg5aHvr+zcYxz+0npKltatseofHc4wfLvY38Lc5Kp2KTOaTZb8zroHftZ6rXhlgTC7XwwmDEl5how4LX+k3wk0Ab78TETBvtYV+vEczjv+pTKwrIBDuUBvkM3532OsldPMuWUYGyWuQUtbdeN33MPibOf3zEep3M/aHnhViaYElRmOJ7f5phk72vaf5xa5e/6VBz2NWnXrZ/raZnvc4KTTBFRsvhIcHfJ8pKektV2oiwxK1KYan5cN2nidEcqUKUuDnP5lKhZ/YzN28rlweseskwr7xSI9uqlD1pFz4KK5RcevEXGl5uTTDgH1j2ryiSvSbZlOQjDHkyN316a5pXJKt8Fsg6eDsfDFDku9gTXHH90kUxYYh7dnbLq+VukQ+uGuhV+k8y9pbCaY1jdKnJBgrrh58+lpFMjfQ4YFZIlxdK/MhgHOY5B9z/2/T8vL5FOWQ2k7YTFVUHbSCrnjeslZ2bhbs8mo/JbJNeb4xWDnKd7VkhZXktpYVkWQXUhxzI+TQdI2So/d9DQNQ3LjLSJPif3fCPzizoLZtKOvpb0mNcWlmWCDGoplEFFMstyJ8dNZNmU5raZqY1rY/Fjct34D4zqCBjnlVFxjv4cc19bS17Zisi+quPVRm6ctc541YTffKK0625U+s0aWNxzwudneUry+e62PeUJriHAuRe5BjA784Pyyc6qX8mVrzI2YHno+zvjGDeVFje+YbnTY9htJHzt8ozKsbk/Tr+F/v7HWvfb2M8N86SoQ2QW5Ki7u2rsagvbMUSMmCSDhs+0fL7b+QDmmGHbcVDHcKgMj7ou4rAfHz1bfj1rfDWuzBVvFElO06zIdbR9rtxy/TRZjPOjxTDbtb9dlkzoKd1Ll3s0eBn0b3ZsVHmwSzbMv1s6oDuy/e6ur3PP7+8Yj9v1HKS8cPsbpgSVGap8axoVZyq2vifjOh7r0Ksg9jMDxaka1YGSdd0aPK8nf+cElwkiomTykeCiQMUC6J0lO2eIjC0aIwUDb5HJ5a/JWKOyFxlbgSnrV8rcorzKZW+ymreXnrl3y9xNS6T0mhyJrLOml8u5prRq6Zt4KrbK8hnjJa9tO7XIeVHhTTKwoFjmq2Cn1y7s2V5NxlEvq7m07zlYSitb440Cd/lrMi6vvd7vQhlq7PeD89dGCnu1dl73yKRN9RpI8/bdJbdormxR/xZBdL4UD+0tXfOGytixQyWva28Z6roYu91OWVY6WHJyOleOP1HHIydPiuZGRgyp9etyzAXuzf3P0ftg7DsWd2/fVLJa9JaxkzDR0AvyWvm3skMF9ybS/PxuMvCxj2XbZufvsUn9ffPzsYB+jlxTukQ2xRwz7NM3LsdylfNvWjneC/tZKgOzs43f5xYZPGyKWjC/io/j6PI7OO//Mtkb8/4eke2oeM25X50ruWMfl6mlk+SR4umyZOu3sqCoizRp3k66DCwx9u+b6p2ne9bKguICyenaVwrGGtdAXg/jO0+SBZUVLz/M42FZeH9AoTwdcy2ZdyWM77TgccnXi/xjMpK8gQ/InACfWbHtC5kxrp+0zc6VoWPHSuHQG6Tgwbdt5zE+Z5IMzekheQVjZGxBX+maUyDFC/S1Auuel7zc8TK1pEgKRt4jxVMmyYRRxv7kP6KvR5PXOeHjs+IJdL4EPd+3O2zH+1dFrmdzvcnGbaRLjsv1oc4ZrC0Z4BzbFK8sMvg8935eNVV6q4ldrOeQh7hlrMlPeRjwO+81KsF518gDUx+X0QWFck/xk1IyYbTk5w2RiaqM9irfzfOolwwsHGvs92AZMOxZKZ85OvIb4aGXwlLUMRwsHczrIP8aGTh+tt5/22c16SL5I41z2/obKPo45Jux0Lh+826Q8XO+9nHuuhyfLbtk46JJkt++mbTIHSOTpmLCnumyaN33sm7W7dKhSQs5v8sN8tgnm4wc5AbJfWCKlIy+RUbeUyxTSh6QUfn9JX+i/XqOwzyXcgZJYRGOw3Uy7On5MnMsGmJx3KzL6Bk8zz2v39FD1PWszw91bdl/5zjlRdTfOEG65A8zPv+eqjiVkDLDnBlAx2azTB5bIANvfCr2vNvodk0b38dXnNL7XqM6UDKuW/3P4l5P/s6JSE8MI8HtWCzLvHpAEREF5CvBJSKiMNhjJEIjYpeXIiIiIqojmOASEWWMzTJ3+FiZtdWzwyoRERFRRmKCS0SUESpkz6pn5bo73tfjq4mIiIjqHia4RESZYPfn8vSQ+73XRCUiIiLKYExwiYiIiIiIKCMwwSUiIiIiIqKMwASXiIiIiIiIMgITXCIiIiIiIsoITHCJiIiIiIgoIzDBJSIiIiIioozABJeIiIiIiIgyAhNcIiIiIiIiyghMcImIiIiIiCgjMMElIiIiIiKijMAEl4iIiIiIiDICE1wiIiIiIiLKCExwiYiIiIiIKCMwwSUiIiIiIqKMwASXiIiIiIiIMgITXCIiIiIiIsoITHCJiIiIiIgoIzDBJSIiIiIioozABJeIiIiIiIgyAhNcIiIiIiIiyghMcImIiIiIiCgjMMElIiIiIiKijMAEl4iIiIiIiDICE1wiIiIiIiLKCExwiYiIiIiIKCMwwSUiIiIiIqKMEDfBLSgokHr16vHBBx988MEHHx4Pu+3btzu+jw8++OCDDz7q6iMV4n7KLbfcov+PiIiI3LgF7VQGdCIionSXipjIBJeIiKiGmOASERF5Y4JLREQUAkxwiYiIvDHBJSIiCgEmuERERN6Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS4REVEIMMElIiLyxgSXiIgoBJjgEhEReWOCS0REFAJMcImIiLwxwSUiIgoBJrhERETemOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuERERCHABJeIiMgbE1wiIqIQYIJLRETkjQkuERFRCDDBJSIi8sYEl4iIKASY4BIREXljgktERBQCTHCJiIi8McElCrlRo0ZJp06d5MILL5TS0lK9NbiKigq5+uqr1d8yH507d5Y33nhDvyM9PPbYY3L22WfrZ0R1BxNcosTbtWuX5ObmqpjXtWtX+fDDD/Ur1ZPOsXTp0qVy2WWXybHHHisNGjSQNm3ayK233io//PCDfgdRZmCCSxRyAwcOlNatW8sBBxxQo8Rv7969cskll6i/hUerVq1UAdG7d2/9jtq3YcMGOeSQQ+TAAw/UW4jqDia4RIm3fft2ad++vZx00knqOhoxYoR+pXrSNZZOmTJF1RP+9Kc/SV5enqo7oM6AffvjH/8o5eXl+p1E4ZeKmMgElygF/vznP6vW2ERBqzYKCLRs1za0iL///vty3HHHqX1igkt1kVvAxvZUBHOiTPbZZ5+p62j48OF6S2KkQyz9+uuv5Te/+Y2cfPLJ8v333+utEe+++64cfPDB0rhxY97JpYyRipjIBJcoBTI5wT3++OPVvhx99NFyzDHHMMGlOsktYGN7KoI5USbL5AT38ccfV/tw33336S3RHnroIfX6iy++qLcQhVsqYiITXMpon3zyiUyePFk+/vhj1Uo6YcIEefbZZ1U3pW3btsmTTz4pTzzxhOoG5WbevHkyduxYGT16tLz11lvy888/61ecrVu3TqZOnSp33XWXzJo1S93h9EpwZ8+eLUOGDJFJkybJihUr9FZ3QYPyt99+K0899ZTcdNNN6vviWCTKCy+8IM8995zs3r1bjWdigkt1kVvAxvZUBHOiZEIsQwxBfPvoo4/knnvuUbERVq1apWLra6+95hgfERtefvllGTZsmNx///3yv//9T7/i7tNPP5VHH31UHnjgARW//SS4ixYtUkni0KFDVUzasmWLfsVdkFiKMbITJ05Ufx/JJuoQifD888+rfRgzZozeEu3zzz9Xr+NziTJBKmIiE1zKaP/+97/VhfT73/9eDjroINlnn33U8//85z9qIgf8Px7t2rXT/6LK5s2bpUOHDup1jI355S9/qf7/nHPOUUHeDoksklrzffvuu6/6b8uWLeW3v/2tY4KLygASZ7y3fv36av9+8YtfqEpAPEGCMhJ6dHHC+7Ef+C+6Q2FCqERjgkt1Fa4rJ9ju9hpRGOzZs0fFJ5zHjRo1UvEKsQqPgoIC+d3vflcZW2+77Tb9r6rgPXgNccd8H8aY/vTTT/odVZA09urVS70HDzOOtm3bVv3XKcH97rvvpHv37pXvN+MdJmqaO3eufpczP7EUDeL4Dub3zsrKUv/myCOPVF2IE2HlypX6/2K999576vOcji1RGOF8TjYmuJTREJhvvPFGdTFhwgYkrQisZnBCyyju8OL56tWr9b+KQEKKZA0t0z/++KMKhLj7iSSxWbNmKuhZIfjg72BCDLT0otX69ddfl8MPP1xtd0pw0aKN13DnFr755pvKpBz/1o3fBBd3nPG+M844Q7WAw1dffSUXXHCB2o5W7kRigkt1Fa4nJ9ju9hpRWCAGIo7gXM7Pz1dJJRpv8RwxD8+vvPJK+etf/6r/RcSmTZtUD6aZM2eqBl2MMUVMRqJ47bXX6ndVOf/881UiiR5NiIdIeBGDzYZje4KLhmXE1v3331/1tDJ7Y2G25SZNmqiG7Y0bN6ptTvzEUtSF8Z6+ffuq74PPfOedd9TfR7JrrzskWv/+/dXnL1y4UG8hCjecz8nGBJcyXmFhobqYlixZop6jSy2em0kluuviOZJBE7piYdv48eP1liro1ozXrONlkDT+6le/UrMyIvhZzZkzR73fnuAiCcad4Y4dO+otEQjohx56qKo8uPETlLEff//736Vhw4YxXbCRfGO8LJJv/K1EYYJLdRWuRyfY7vYaUZj885//VHdFET8AjcVIVM27j2gsxnNrDLzqqqvUrMB2SIb3228/1f3Y9PTTT6tr5eabb9ZbqmC5HLxmT3CLi4vVdvSesps/f756DcmyG69Yiu+G5Pqiiy7SW6osX75cxbuLL75Yb0k81B9QT8BSg0SZAtdcsjHBpYyHBBetuKYZM2aoiwt3bwEtsniOFmZTz549VeDCHWAnmMofrdamhx9+WP0Np7uuCPb4fHuCe/fdd6t/8+abb6oE1PrAXVx0VbbfJTb5SXC//PJL9R58fydoFcfriWwVZoJLdRWuJSfY7vYaUZggwcWwHRPuxB522GH6mai5J3CuW+MWGlHNxmQrNPDivUVFRXqLSI8ePdSd2B07dugtVT744AP1fnuCiwZixFfEcXscxazDWLoOw4rceMXSRx55RL3+9ttv6y3RsDYv7uLaG7YTAQk6uoajxxi+D1GmwDWVbExwKeMhwcMU+yYzwUWXKnBKcE844QQ1RtfNWWedpQK36ZprrlF/w60rlNMkUwio+DfxHk5jfcFPgmtOXIFKhxOz+zICeKIwwaW6CteSE2x3e40oTJDgYv4KExJcxEqTPcFFjMXzV155RT23wntwBxeNySbE3H/84x/6WTS3SaYwJti8xtwef/vb3/S7Y3nF0gEDBqjXUU9wYnZfRoNyIuFYolfYUUcdJWvXrtVbiTIDrplkY4JLGQ8JLoKEyUxwzfXmnBLc7Oxs1U3YDQImlscxYXZi/A10VXbidAf3hhtuUP8GC9djZkb7A9213FqF/SS4Ztdot6UHzG7YiRyHywSX6ipcS06w3e01ojBBgnvFFVfoZ5EE98QTT9TPYhNcdGVGTyTEMjs03uK91nG4rVq1UgmrE7c7uC1atFCTXKFHklMcxSPeRFNesdTsGo0VGZygCzZex/weiYLZlNHVG8djw4YNeitR5sA1k2xMcCnjVSfBHTRokNrm1H33iy++UC3POTk5ekvV2CGnmYkXL16sXrMnuM8884zafscdd+gtVbZu3aqWPHDjJ8FF6zmCpLUrtRX2H3/Dz7JEfjHBpboK15ITbHd7jShMgia4gO61o0aN0s+qYAkgvBf/NWESJ8QsjG21u/fee9X77Qnu1Vdfrba7xUssYRTv7qpXLMVyQHjd2pXahAQevcP+8pe/6C01g1mlsR/4vMsvv1ztG1EmwjmebExwKeNVJ8FdtmyZmlgCEz1Z17pDwDnvvPNUgosWZRNmmETLMwId1pw1IQBiCSL8fXuCi9eaN2+uuiHZ7/xiQgl8htu4Gz8JLpjLLZSVlektEVjTEDNVIiFNJCa4VFfhOnOC7W6vEYVJdRJcjL899dRT9bOINWvWqCE+mADRGl+xPi7G4P7rX/+qnMgKMJuyuRqBPcHFJFDoIYUZje1DetBQfMQRR8hpp52mt8TyiqV4vWnTpmosLxq3rbAv+Lfjxo3TW6oP9ZAzzzxTxWWnZBorLixYsEA/Iwq3VMREJriU0TAxBJYdQHfjhx56SHbu3FnZ4oslBbAQPBaSx3NsNyeeAkwChdZkjAnCDI0IYkhI8V57kAUkzkiKEYjRxQhdpk4//XSVqCJoY/kELCWENe1MmGgD70d3Z0xUhX1BAo3PwNIAViUlJerf4zFy5Ej1HuyPue3222+X8vJy/e4IdJtCCzOCZp8+fdQdZnQJw6yM+FzMIF1T6Apt7gNmZsZ3NZ9jn4nqAlyPTrDd7TWisCgtLVVJJJJVjKlFYonJmzCrMuIKJnTC+Fyc64iV1sQVCSLiMGIwhuTg36AhFDHTzkwakZRiPXjEETQem8sEIclGAmiNXegNhYZiLOF33XXXqbiD+H700UerGI7E28orltrfj3oEJpJCkov1cDFvBWZVNvcHyx/VBL4LGuHx99AQbu6H+TC7SWM8MFEmwPmcbExwKaN169ZNXUh4IPhhxmIEVjxHkjdt2jQ1IzKeO7WcIgCjhRpJKl4/7rjj4o5Zxdp7GDeDv41/c9JJJ8ns2bNVy6y5H/YlE9DKjCBp7gMqERg3ZA2aaM3GbJXm33B6IJBjLLAdKh4YJ/T73/9evQ9BGt2TkdwnAmaRtO+L+bAuKUGUyXC+OzGvBaKwwmoC6J1knsunnHKKapBFjMNzzPSLWInxtniO/1rvNmLNWKw7j9cQfzHHhduYVsD8EEiKEdOQuGLddiwnhDu1+Bv4XCzXZ4XGaczwjPiG9yAhRpJsXf4P/MRSrPdrh7u3aHz+9a9/rd6D44Hk2Hq3urqQUKNh2L4f1gdeR6M5USbAOZ1sTHCJfEBXYWuLtBd0WUZiGQTutuLfJdP69ev1/xFRIrkFbLOCSlTXIcYFafDEPBLVaSDFMKFEJJ5O8HfdZlQmIn+Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS4REVEIMMElIiLyxgSXiIgoBJjgEhEReWOCS0REFAJMcImIiLwxwSUiIgoBJrhERETemOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuERERCHABJeIiMgbE1wiIqIQYIJLRETkjQkuERFRCDDBJSIi8sYEl4iIKASY4BIREXljgktERBQCTHCJiIi8McElIiIKASa4RERE3pjgEhERhQATXCIiIm9McImIiEKACS4REZE3JrhEREQhwASXiIjIGxNcIiKiEGCCS0RE5I0JLhERUQgwwSUiIvLGBJeIiCgEmOASERF5Y4JLREQUAkxwiYiIvDHBJSIiCgEmuERERN6Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS4REVEIMMElIiLyxgS3DunVq1dlRShVj969e+tPJyKimkCZ6sQsb6n2pTrOMsYSEcVC+ZhsTHDTxBtvvCH77LNPZWBs2LChlJeXy2effeb7sXTpUlm8eLEsWrRIZs+eLc8995zcf//9MmDAADnttNPkl7/8ZeXfx+PAAw+UjRs36j0gIqLqQpnqxCxvqfbVNM4yxhIR1RzKx2RjgptGbrzxxqjg2L9/f/1KYuzatUvKysrknHPOqfyMMWPG6FeJiKi6UJ46MctaSg/JjLOMsURE3lA2JhsT3DSyZ88eOfXUUysDIx4vvviifjWxXn/9dfnLX/6iWrD37t2rtxIRUXW4BWyzLKf04BRncXc20RhjiYicpSImMsFNMytWrJCDDz64MvAeeuih8vXXX+tXE2v9+vVy/PHHy9SpU/UWIiKqDreAbZbllD7scfbmm2/WryQWYywRUaxUxEQmuGmotLS0MvDicdZZZ8nPP/+sX02sNWvWSMeOHfUzIiKqDreAbZbjlF6scfaII45gjCUiSpFUxMSMTnDvueceGT16tH4WLv/5z38qgy8et956q34l8R5++GFZu3atfkZEREG5BWyzDM9EM2fOlJycnNB2wbXGWcZYIqLUSEVMzNgE94knnlAHsFu3bnpLuOzYsUOaNm1aGXz3228/mTt3rn6ViIjSiVvANsvwTPPpp5/Kb3/7WznyyCNl586demu4WOMsYywRUWqkIiZmZIKLaf9/9atfyZVXXik//fST3ho++B7WZQcwWcXmzZv1q0RElC7cArZZfmeSH374Qf7+97+rpXHWrVunt4YT4iySW8ZYIqLUSEVMzLgEd8uWLSrwPvDAA3pLuN17772VFSQ8OnXqpF8hIqJ04RawzbI7U1RUVMiFF16ouveGuQHZ6vzzz2eMJSJKkVTExIxLcGfMmCHz5s3TzzJDhw4dKoMvHvfdd59+hYiI0oFbwDbL7UyBWf0nTJign2WGp556qvJ3woMxlogoeVIREzMuwc1EmzZtkv/7v/+rDL4HHnigfPzxx/pVIiKqbW4B2yy3KX1hLC5jLBFRaqQiJtZ6gvvII4/ImDFj5Prrr5fZs2erba+88opal+6aa66RZ599Vm2DH3/8USZOnCg33HCD3HbbbfK///1PvxLx9NNPy+23365ef+mll/TWyFp06LI8YsQIufbaa+Wbb76RXbt2qc/GewsLC+X999/X705PODb77rtvZQA++uijVVCuDYsWLZLhw4fLf//7X7nrrrtUt/DqQPe2F198Uf3WmGUSvwm89dZbctNNN6lWdCT3RETpzi1gm2V2bZg+fbrccccdcuONN6oyFhA3MWMw4ivK2G3btqnt8Nxzz6nyeOjQoao3lN3bb7+tynyUz/ivlTWWr1y5sjKO470vvPCCflf6SqcYu2rVKrnzzjtVjEU9bNmyZfoV/xhfiShdpSIm1nqCi4T1oosuUl8W/4+lfRCUsewAguRhhx2mklJ0i7r66qtl+fLl6t+hS9EBBxwQ1R35ySeflEsvvVT9LSRgpm+//VbGjRsnJ554onoNAR6J7ZIlS9Trr732mppkwpoUp6OCggK1/+YDY6BSCcE+NzdX/V4IwPDJJ5/I2WefrRofgti+fbuqYCFZxvqDCLgXXHCBWhB//Pjx6u917txZzjnnHP0viIjSF8pkJ2Z5XRumTZsm+fn56vMRG19//XWV2KAsRxnctm1badasmZoFeeDAgTJnzhxVHiM2/u53v1MNyVZIAlFW77PPPtKmTRu9NcIay/EZ9jiOZC3d1XaMBdSBTjrpJHn33XfVc0x69e9//zvQHWXGVyJKZyhfk63WE1xYsWKF+rIoxN977z29NeLyyy9XMwn36tWrsgUSMNFFVlaW/Otf/9JbIlavXq3+ljXBNT366KPqNcyu/P333+utEVjoHTNCpjNUFlq3bq2+g/nAYvWpgID5j3/8Q1WI9uzZo7dWTc5hNhb4hUYLM0kGLM+Av3PxxRer5wjueN61a1f1nIgonaG8coLtbq+lyl/+8hdp1aqVFBcX6y0Rjz32mNo3lONLly7VWyPat28vhxxyiOzevVtvqfLXv/41JsEFM5YXFRXpLRGI41jZ4LvvvtNb0lNtxljUaS655BLVVRoN+ib0SsN+3H///XqLN8ZXIkpnKH+SLS0SXBTm+LKnn3663lIFLch47e6779Zbqpx88snSuHFj/SwCd2vxfqcEd/Lkyeo1dNmxa9eunRx88MH6WfpC0Kpfv776Hnhgn1GpSDZ0/8aah/aGAVRyMKNmELgLjzvoVvj7+D5ml3S0Or/55ptR3eeIiNIVyi8nZlldm4466ijVS8m+Xq2Z6HTs2FFvqYI7rnhtzZo1eksVrB3rlOCasdyeSJtx/KOPPtJb0ldtxVjc9cbnzZo1S2+JQHdx9D6zJr3xML4SUbpDeZRsaZXg9unTR2+pgu46eO2NN97QW6qgpRXr1ln5SXCnTJmit1TB0gBoYQ6DsrIy9T3Mh1NFI9HQsty7d2/9rGaQJGMdRavrrrtOdXvbuHGj3kJEFB4oi52Y5XRtQoKL5fPssAYs9s2p0ReJFV4zhwVZeSW46BptZcZxew+tdJXqGIueZ7/5zW9iGuyrg/GViNIdytVkS6sE12mMjhkYzfEoVkhwDz/8cP0swk+C+/LLL+stVZDgYubEsMjLy1PfBY+RI0fqrclz5JFHVk4Clgy4G48u0EREYYSy2IlZTtcmJLgoY+3MBNc+1hbMBPfLL7/UW6p4JbiY18IqXhxPV6mMsfj7+ByneksiML4SUTpBeZdsTHC1sCW4ixcvVt+lZ8+eektyoXXZOvY2kdDijO5z/fr101uIiMIF5bETbHd7LVWY4AaXyhiLLuL4rHfeeUdvSRzGVyJKNyjvko0JrhamBBfL8qC7Gb6/deKtZMLEF35hog5MXoKlKNAyje5e8WAJCfwuGCdkhd/JaYzQzJkz1bmJv33vvfc6ToJCRJRKKMOcYLvba6nCBDeYVMdYc7JGzJjsxwcffJC0+IoliVB/wvKJOC/WrVunXyEiSgyUScnGBFcLS4KLZC47O1uN1UnleBosW+AGSzBhKQj46quv5Nhjj5UHH3xQzQoJ3bt3l88//1z9P2CtRYy3xkQXcNlll6nfxfwbgNew5IQV1vXDhFZXXHFF5bJEDz30UOX6jkREtQVlmBNsd3stVZjg+lcbMRaTQuH42CdxNGH5pueff179P2Is5sNIdHyFUaNGqdm2165dq54j2e3Ro4f6fyKiREGZlGxpkeB++umn6steddVVekuVESNGqNewfp/d8ccfr9bqsy7GjoIe78faf3YPPPCAeg1r6NphLdf9999ftdymMwQ2fGf7kg7J1q1bN1m/fr1+FoGW7SFDhqgkE5B0nnDCCdK/f3/1HDBrJypCZuBGUMb+o8szlh7CBCannHKKWmDfGqRR4cLSBlZY3gl/3wzs+C+6XdlnnSQiSjW3gI3tbq+lAsrJP/3pT46TTJnLx2CdVDssNYPX5s+fr7dUQY8elNt2Ziy3rylvxvF0X2seaiPGYpKpX//61/Liiy/qLVUwKebVV1+thgiZMfbVV19VryUyvj755JNqSUbrHVvc9cXawEREiZSKmFjrCe4///lPFXix3t4f/vAHOeuss1RL5dtvv60K7j//+c/qNUxyhCQUCShaGVu2bKkKckznf8wxx6hZG7FuH1qWzb91xhlnqFZLjKXBv0VQxmtYExDP8Rqm5sedYPNvYV/StcVyzJgxcsABB9RKQofZL3GcEATRQowKC4Kudf1bsysUGirwOu6iDxgwIGZpCKy9h8QU6wvibuymTZvUe8877zx55plnZPDgwTJ9+nT97gj87pgFEuvwolsWzk3MDIl9ISKqbW4BG9tTEcydoFdU8+bNVWxDjMNa7yhrkfwgBuIuJWIiEmDEWywd88orr6g4jBiK1xo1aqTKftzZRCLcokUL9fewfM6pp55aeWfRGssRk53iOFY9wN/y2xU31WozxmISR/SUwnq3+A3uvPNOFUvNZBbMGIvfNZHxFbAUEe70I77i/ZhZG+sZcwgQESVaKmJirSe45M/UqVNVgvfII4/oLamHQIdgipZtjLO1QzcrVIb8+Oabb+Tjjz+u7EYFaMXG3zfv0Foh4OOCQPcsIqJ04xawsT0VwZxqJh1iLGLfF198ocbYmsNwrPzG2KDxFcsK4S7v448/rrcQESUPE1xScPcUa/Si5TWdXX/99Wr8jhOnhDgI3KHHBYFxuHY1/dtERDXFBDe8MHY4zDG2pjEQCS7OUaehYIyvRJRoqYiJTHDT3KpVq1T3Lkyu5NTymgho5bW29FYXunUddNBBMQFx7NixNR57hS5t6BL3/vvv6y0RmMwEXaqIiGoTE9zwwoRaYYqx1r+ViPgKGNKFv2W1YsUKyc3NTci+ExGZmODWcWhVPe6449Tsl9aJtBINC9qjBTsRsLTA5ZdfrianuPvuu2XgwIExk1lUF8YiYTmFkpISmThxohqHxC5VRJQOmOCGE+Isxp+GKcbikej4iq7RGEeNyTgRYzHeevTo0Wq8NhFRIjHBrcNwFxTJHCblSOY6dAsXLpQLLrhAP0sMzOyIYJmM9QPRkoxlK7Zu3aq3EBHVPia44WPGWawpmyzJiLFY0SBZ6/OuWbNGLbdIRJQsTHDrMMyCmJWVpdYpTBYEXsxsidkWiYio+pjgho8ZZzEpUzIwxhIRxWKCW0dhUfz99ttPXn75Zb0lsdDyi6WWsFYelo7AHVciIqo+Jrjhksw4yxhLROSOCW4dhNmCMV3/+PHj9ZbEQNdeLD2AWSKxHrBZ6erbt69+BxERVZdbwDbLWkofyYizjLFERP6kIiYywU0j6I6M7lJYfP/ee++V++67L/ADrdK33XZb5SLwXbp0UQvzoyXZDLjWB5YgIiKimkF56sQsayk91DTOMsYSEdUMysZkY4KbJtauXSuHH354THBM5uPoo4/Wn05ERDWBMtWJWd5S7Ut1nGWMJSKKhfIx2Zjgpgksq3PppZem9DFlyhT96UREVBNuAdtMdqj2pTrOMsYSEcVigktERBQCTHCJiIi8McElIiIKASa4RERE3pjgEhERhQATXCIiIm9McImIiEKACS4REZE3JrhEREQhwASXiIjIGxNcSpj8/Hxp2bKl/O53v5P27dvLNddcox79+vWTnJwc+cc//qFee+edd/S/ICIiv5jg1l2PPPKIdOzYUcVQrImLuGrG1969e8sZZ5yhXhs7dqz+F0REdRcTXEqogQMHygEHHCA//PCD3lJl7969KjB/8sknegsREfnFBLdue+GFF9TvPH36dL0l2qBBg+S+++7Tz4iI6i4muOTq008/lQEDBkibNm2kefPmcvLJJ6sHklg3J554orRq1Uo/i3X99dfLd999p58REZFfTHAzx5YtW1T954ILLoiKr2effbbs2bNHvyua2YC8fft2vSXatGnT5Pnnn9fPiIjqLia45Oi2226T7Oxseeutt2THjh16a3wI2Pvuu6/cfPPNekvE/Pnz9f+JjBkzRv8fEREFwQQ3M7z66quqN9OTTz4pmzZt0lu9oQH59NNP188irPH1pZdekiVLluhnRER1FxPcOgh3UG+//XYpLCyUkSNHysKFC/UrEQi6l19+uVRUVOgt/pjdp9544w29ReTzzz+PSXiJiCg4JrjhgOE4jz32mNx6660qxpaVlelXIjHxlFNOcRzGE49TA/JPP/0kPXr00M+IiMjEBLeOwdidv/3tb7JgwQL1HF2hrF2K0fXphBNOkB9//FFv8Q/dmXFCYbIp/K4YD9SwYcOohJeIiKqHCW76++qrr+TYY4+VBx98sLKRuHv37pV3atu2bVuteSjQ9Ri/8SWXXCLDhw+XwYMHq0SZDchERLFSEROZ4KaJpUuXykEHHRTVmoxgfN555+lnInPnzpX+/fvrZ8EgMUa3KwTyjRs3qpbqpk2b+u7iTERE7pjgpjc0DCMOWmPozp071TwW+O/u3btVjKwONCDvv//+snr1ahVj16xZI507d5aZM2fqdxARkYkJbh1iTlCBblN44NijFXj9+vX6HSL333+/HHHEEZUTXjg9nCaZ2rx5s+yzzz4yZMgQvSUCd3NN6GJl7w5NRET+MMFNb+YwnauuukpGjBih7rQiMf3oo4/U6xgfe8ghhzjGVfPhNskUEmcsw2eFv2/tbfX666/r/yMiqtuY4NYhaDnOzc3Vz5xh8ouhQ4fqZ/6Z3afsAdYaqIcNG6bu6hIRUXBuARvbUxHMKb4bbrhBGjVqpJ/FwhCgs846Sz/zz2xAvummm/SWCGt8xZ3c4uJi/YyIqG5jgluHYCkCe4A0/fzzz+q/6Fp80kknBZ5gCq3UuDvs1h0Z3aowDomIiKqHCW56wzJ4bsvkmTEWcXjDhg3q//0yG5Dd5rNA1+f27durbtBERMQEt04pKChQa+5ZISFFdyqMxTXhfVgmKIhjjjkmZvkC05dffqm6V3GsEBFR9THBTW+zZs1S81xgFmWrsWPHymeffab+H0kqktEgjchXX321awPy999/r2ZSrk7PKyKiTMUEtw5BcOzatavqKlxaWqqWL8AY3JUrV+p3RKDb04UXXijXXnutCp7x3H333WqiC5xIRx11lFxzzTWVj5ycHDW5BibGaNasmf4XRERUHUxw0x+W38Mye08//bSKj5izApM3Wo0ePVrOP/98WbZsmd7i7JVXXpHevXvLr3/9a/Xo169fZXy94oorVIP1wQcfrF5bu3at/ldERMQEtw7COrhIas0uU24mT56s7spi7G6HDh2kU6dO6sHfjIgo9ZjghgO6Cn/xxReya9cuvSXW+++/r1YwwJAgJLtmfL300ksdJ5kiIiL/mOCSJwTbVatWqW7MeGA2ZCIiSi0muJlp3bp1lfEV/09ERDXDBJeIiCgEmOASERF5Y4JLREQUAkxwiYiIvDHBJSIiCgEmuERERN6Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS4REVEIMMElIiLyxgSXiIgoBJjgEhEReWOCS0REFAJMcImIiLwxwSUiIgoBJrhERETemOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuOSpV69elRWoVDx69+6tP5mIiEwoH52YZSelrxdeeKHyd0rVg7GUiOoqlIHJxgQ35N544w3ZZ599KoNmw4YNpby8XD777DPfj6VLl8rixYtl0aJFMnv2bHnuuefk/vvvlwEDBshpp50mv/zlLyv//oEHHigbN27Un05EROAWsM2yk9LX8uXLUxpH8WAsJaK6CmVgsjHBzQA33nhjVODs37+/fiUxdu3aFfUZY8aM0a8QERGgbHRilpuU3lIRR8vKyuScc86p/AzGUiKqi1D+JRsT3AywZ88eOfXUUyuDJh4vvviifjVxXn/9dfnLX/6iWrf37t2rtxIRkVvANstkSm+piqPAWEpEdVkqYiIT3AyxYsUKOfjggysD86GHHipff/21fjVx1q9fL8cff7xMnTpVbyEiIreAbZbJlP5SFUeBsZSI6qpUxEQmuBmktLS0MjDjcdZZZ8nPP/+sX02cNWvWSMeOHfUzIiJyC9hmeUzhkKo4CoylRFQXpSImMsHNMP/5z3+igvOtt96qX0mshx9+WNauXaufEVG6GTlyZKCKeUlJiXz11Vf6WXrDfk6cOFEef/xxeeqpp+SJJ56QRx55RCZPnqzfEW3VqlXq/ZMmTVKPt956S7+SOG4B2yyLKTxSFUeBsZQo+TZt2qQmfQsCY+ST1biVaO+8844qSxADEeMeeughefPNN/Wr0ebPn69eR9zE+/Hvli1bpl9NjVTERCa4GWbHjh3StGnTysC83377ydy5c/WrlGpvv/22XHrppdK+fXtp0qSJtGnTRlXIiZLtzDPPVGP9/MD4wz//+c8qEQyDdevWyZQpUyon7PnVr34lhYWFMmPGDP2OaKjc3Hzzzeq9559/vrz//vv6lcRxC9hmWUzhwTiaXn788Uc1Cdgll1wiJ598shx77LFy5ZVXsmGAfNu2bZv84Q9/kO+//15vie/jjz+Wo446Sj9Lf9hfJLYYYoH9HjdunJoJ3smSJUukc+fOqmxr3ry5SuTRmySVUhETmeBmIJzU1iUJMJHF5s2b9auUKo8++qhce+21sn37dvW8oqJCbrvtNrUcRadOndRzomTB3c3u3bvrZ/FhMp22bdvqZ+GBpVhQxrVs2VJvcYcy8K9//auq6CSDW8A2y2EKF8bR9ID4ibJpwYIFektkrPTRRx8tWVlZbHgg33Jzc9WdSz8GDRoko0aN0s/CAxPlDRkyRD9zh5j/r3/9SzVu14ZUxEQmuBnq3nvvrQzMeCChotRBy7Lb2Cpsx29yzz336C1EiYeKod8Wa5QPYexZgCQE1xLuPntBYxO6ZiUL9sOJWQZT+DCO1j4kGnPmzNHPqnz00UfqN0HDww8//KC3ErnDeeSnMXT37t0qpqT6rmYitGvXTvUajAczt19wwQWyZcsWvSX1UhETmeBmsA4dOkQF5/vuu0+/QsmGu7f/93//5zjmw7zr1KJFC72FKDl69+6txp7Gs2HDBpUI79y5U29Jnk8//VT69u2r7r4cdNBB6g6M+UDXqmnTpul3+oPk3Szf0I3RzXvvvZfwdU3tsA9OzP2jcGIcrV2NGjVSlXGn2awxCzV+k1deeUVvIYoP3XeXLl2qnzl7/vnnVaKYChhW07VrV3WeW+MhHojLmG09CCS3uIsbT1FRkTz77LP6We1IRUxkgpvBMO4MSZYZmA888EDVT5+SD+MBccwx7tbuww8/VK+h+xu7KVMyYQz4aaedpp85u/vuu1XSmUw//fSTmqgHd1vweUg4za77NVW/fn11PSF5doIuWBh3u3XrVr0lObAPTrDd7TVKf4yjtQcT/PziF79Qx/3JJ5/UW6uYjQ+jR4/WW4jiQ90M47njQS+7p59+Wj9LDiSuSEZPOOEENdHTJ598ou4c11ReXp788Y9/1M9iYYJGjGWvbamIiWmX4KJf+B133CFjx46VwYMHq0lS0PLu54fHbXcUgtdff73ccMMN6oFuLHXZ7NmzZd99960Mzrhzggk00s0XX3yhuuwOGzZMJYCAbke33367qhjPnDlTbQsLtDb36tVLXn75Zb2lClrs8FtgoX+iZPvb3/4mf//739WkOU6P3/72t7Jw4UL97ghULDErcX5+fkz3QFyXI0aMCDTr4oUXXqjGPyUjyWzWrJm6ntzu4iCWpGKtUbeAbZa96aAm8dWERhPEWJwb6D76wgsv6FcyV1jiKBqS8BtjQjXMjLpr1y61HbOG33TTTeruMxL2MMGYyX79+jkebzTe4fdAjykiP1avXq3ujjrFQvOBO6fmtQOIdbimMBmT/TxE3XT8+PH6mT+Ig5gPAv8u0bM0I3nHNeHWgIzkNh1WS0hFTEyrBHfgwIHy4IMP6mcRjz32WNwfy4Q7YTk5Oar7pwnJ7Z/+9Cd1UtZlBQUF6hiaDyyBkE5QQUKrGroYYsxDgwYN1PTmSBBXrlypKtjozjhv3jz9L8INFct0/B0oM+HuxuWXX66Cmv2BxO8f//iHfmcVJLCYaXjRokXqDgreazLLZL8TWKGijdmO0QCZDBdddJHaH6euoyg/0P0rFbAPTrDd7bVUqkl8NaFCNnTo0MrfEt3b0R0OvwGSq0yW7nEUv+E111yjrllUmpHQomsvrnH8boivmDkV12ImwPhB3E0/4IADZPny5Xorkbdzzz1XJkyYEBMP8fjvf/+rriPTd999pxr0UL5hUqY+ffroVyKOOOIIVR58/vnneou3Hj16yPDhw/WzxMJEptgf3BG2e+aZZ1QDZzrAPiZb2iS4GzduVAWV04xerVq18gzA3377rTpg5513nt4Sceedd6rtyVgWIixQGWndurU6DuYDi9mnA9y5xZ12q7PPPlt13/3ggw/Uc4yFwD67dUEMCuNiscxAdR7oToIZHKsLYwbROvi73/1OnbNEyYbeBGg0cipb0TUZZaTVu+++W5ksovEJ1561BwXu4CKou02iZoUZizG2NpnnOiof2Ef8165Lly4pW/oI++AE291eS5WaxldAI/Khhx6qHtb3o5zG98O4rkyWznEUMIma9VzH7MLYx4svvlg9x3WN54ls8EHSjLkknGKl1wMNvTWBGW7xfby6mxLZYYk5NMo5Qe8Ms+4J6BFhzk9x4oknqjLACo1HOA/99hZFb4rjjjsuacPT0IiJ/bHPZ4G6J4bqJKuhOSjsY7KlTYKLlhN8YXRTtf/wWM/Jq3UYlS6MxULLiBW6U+HvBl3gOdMg8Jlj1fBApbMmiVqioDXMPogeBYz1rhL23ey2nAjoYvLll19W64E7QjUpmHDXC2t2cmkDSiUENntXUgRtp0kscE2aXYnRkr3//vurVmwrjKO1N0w5KSsrkzPOOEM/Sw5zplt7hQVjqOzJezJhH5yYZW5tqml8NaFLKLrWWd+PChPupKExIdOlaxzFHUz79YjzH/toTiaDu7roGZXoZbLQ68opVno9/K5H6uR///ufagTHrNa1tcwJhRdiH8apogeKFZaiwsRlVubwFsRJDFPAHV4rlKeHHHKI7+sKQ0LQGyRZzOve3m0a3fzT6UYf9jHZ0ibBhbPOOkt9aUzPjS51JSUlgWYQsxZ0SGIwUxrWgsTfDON6VomGyiaOhflo06aNfqX2YDyEFYIeChFrF5FMgfHhv/71r+W1117TW4hSA12T7HdcsSyQ07InZoUd4zKRAKObox3uXPkZe4nuUrhDiO5YXg+Mtfea3dIJxrmjPMNYXBPKEex3KlursQ9OzPK2ttU0vgIqc+YxRbxFYoWllzCEJIzrKFdHOsZRnO/2pXKuu+46teY67t5nEoyNxB2w9u3bR42TJAri6quvVg21VldddVXM8o3mUjrYjuvdKUn0WpbHCj0ScaPDKQbaH8hbgjZIoX6J/cT8CCaU0Riikk6wj8mWVgkuTiR0mbMuro7B4Ogr7wdaldG1DicQxsdgfBEmSsHfwRhPisywZh7bkSNH6q3pw6ys1vYU5omGQhGTSlkXqydKFVQEMR+BtavwP//5T3nppZf0s1ivvvqquhafeOIJvaUKxmH66daKSeJwBxeJrtcD7w0yjsm0ZMkStZ/o9m9C5cU+cVayYR+cYLvba6lU0/hqQpc9TFSCO+a4SzB9+nR1JxPnU12R7nEUTj75ZMfx9WGGBhYkE2ig4Z1bqgnEBzSUmNDd/ve//71rg9App5wijRs31s+qoLdTkFwJvalw/jrFQPsD42WDTmaHuibKJbPxGtcJPtPeAFbbsI/JllYJrllg4URD12L8wEceeaRqhfRaoB+VLYzrwGyhqPCYMNAaB5IJbsTixYvV8ejZs6fekl7M8XRB7ywEgQsd50V1Hp999lngLsoYZ4zKhv3uVBgXEafwQq8Ic4IJdLV0G5drQjKEstc+8zHOf7R0+4G7XbiDm0yoAKDMwANdqd95551aaa3G5zsx96221SS+Au7cduvWTQ2xsI/vQsWwLiW46R5HcUd3v/32U90Skw3djZ1ipdejOrM54640Zu+2wnn9zTff6GdE/iFnwKRsgIZcTMLmBA3DKCed5nkoLi72VX6a0EUZE8AlCxqJUTZhvhjAJLtY1zfdpCImpk2CiwHamLnTDgU1Wk2GDBmitzgz+51bB4dDeXm52m4muLgrUVehBR8NABgkn65dezCIH2NwrdBV0jo7tgkVLtylR9dGtKKjMu3HAw88oD6nOo/mzZsHGnOFRB0VP4yBs8OyKUSpgnHsxxxzjPp/XDP2sUR2p59+uloU3w7j+NC91Q80POLO6rp16/SW5MB4KpTzWF8XPXhqo7XaLWBju9trqVLT+ArmWGencc34jc0EF0vqJGI9x3QVhjhqTg5nX8sTPaScujxiGRR0iUQ9CQ0ffq9XNJZgXLZTrPR6+DnnrNA4h3LLDgmK0wzqRF7uuusu1dsHsrOzHZd1hDfeeENdT1iv1g69RYMs9YNVQdCzItHLA5kwrhj7imEjGEISpPt0KqUiJqZNgotCyjqGygqtkNZWO7TYYekJ6/qMaKXAeDE7zJaGA2kmuOhaZMKdXkywkYy1GdMNKhy4gFGZSZcxOZs3b1a/LQoPwJ1OtJKh+4bVpEmTYhJcJIxofcOMceYdVYxrqE4Xx2RBRQKFi32cMaA7PRapJ0oltOqimzzu3Fl7ujhBELaPv0XZi+6p8e782qERCuMUg/yboLBUDcp5VLb9jA1OBreAje2pCObx1DS+Arq84XvYzxvcPcN2M8HFepG4q444g3FrmbSESzrGUUB8xORwZqX5sssuU78JJkU04TWnmWMxzg+9LNauXaueI9m1T9ZZ2zBfABJvJ1jTedasWfoZkX9IBpE3YIWOww47zHXOBgyZw/VkH3+L6646azCjjothPsmAMgr7igfmRXCqf6YD7F+ypVWCiy+MiXiskLyg8MUU9yazdRLjh8wWVCRB6JJjbXnEyYo1IBs1alTZZc3adQ2tiPg7daH7cu/evVUre3UmcUkWtJ7h+KPlGK688kr1m1jX10TQta87hlZjVNTR1cOEWfFQicYdiXSASiLuJGFCF+sC4mj5x10xjFnz282TKFGQcGCWSCSEXtAy/X//93/6WQQqw9VZjxoz7KLSbE7YkWhY+gRlidOkWamCz3eC7W6vpUpN4yuglwy2Y8IyK/SIwfqQKLsBk5vg7yLW4v2Z1HU5HeMojjX26Te/+Y3qMYEGBYwXxGSN1gZfJIj22ftxPmBMtrXehLu+yZzlNSgkr/hu1jiKx9/+9jc1rwW+Z7J7iFDmQsxATIy3bBWG9ODmCxr+TGjgysnJqbzBEgR6GKEeiF4Jbkl1TWC+DZS99gmz0gn2L9nSKsHFHYNhw4apEw3dTdENDmN+MBOyFe7eoXCz3nrHXVgEUgwax79DwT1gwAB1lxAtLL/97W9VJchawOP7NWzYMOOXbMHdbayBmG6tnKhUocskWsfwu+N3xrhUnAdIfnF3FmMekNBamRUwJIjodocEGb+133XIUgFrQmIf4z3sM/gRJRuC8i9+8QuZOHGi3uIOrdtY4xLXFspjdGmONylVPGjwQWPj4YcfriaTQpKcyGQXa2GijK/Nce24pp2Y13ttqml8BSS76AGFOx0on3H3An8L3cI//vhj1WiHXilIeAHjdNFAks6VrCDSNY4C6ja4E4/Zza+44go1vhVx8bzzzlMNEvidMBmYHRolUNFG4wXej7vviF3p0sUc5QaSd/MacnrgvCOqLsQ0nEdejVYo15BfoDcB4ica8mrS+xOxGD0tUC4jR8EQIntdt7rQkwnD6ZKRPCcKjnmypU2CiztwSEYBFR8M2saEPkG7tWEwOCYZQTcqa8sKJh9J1MkTJljDCy1PmE06HeH3xYVt/vaAihRmuLNus8J6f7grT0TBITHxu+4poPsWrsdEVHoxDOHaa69VLeaYmAh3Cc0HKqr2yYv8QoJV2zOUuwVssyJemxIVXwFDL3A+4GG9w4v/dyuzwy7d4yigqziuA+vYPnRPRMOv010m3EXC3U97AwdRXYIk0O+qHUhokV+Y3fkTAXNaYLI6NCqiMccaE53WqfcDcfTrr7/Wz9JTnUpwKfHQso4ZL+N1vQgj3NV1m5k1nVusiChzpXOCS9WXqXEUCS7Oy9dff11vqcI4SkTJxASXqg1jBjD+88ILL6zWGAEvaCVO1ixwXtBFDDPE2YMwJpuobhdKIqKaYIKbeZIdR6E2YynWqEbctMIqAZjhv7b2iYgyHxNcCgxBCetyNWnSRC3nkIyxNOiegbFbtTn7NGb4RLcSjJ/GeD6ML3JaioeIKBWY4GaOVMRRqO1Yii7lmKBz5syZqusl/ouYGmQIAxFRUExwKTBMNIG++1j/Nxkw7uqQQw5Rk1kQEVEEE9zMkew4CoylRFRXMcGlQDBbJZZKclusuiYwGQmWCMF0/RgIj0lLiIgoggluZkhmHAVMxsVYSkR1GRNc8g2zpmFGxPHjx+stiYGuWh988IGcf/75lRW1vn376leJiAjcArZZblL6S3YcxURVWDqJsZSI6rJUxEQmuBkA3ajQnapx48Zy7733yn333Rf4gVZrLARvrinbpUsXtQYmWpnNYGw+MKskERFVcQvYZrlJ6S3VcRQPxlIiqotQ/iUbE9yQwyQVhx9+eEzgTNbj6KOP1p9MREQmlI9OzLKT0heWzEllHMWDsZSI6iqUgcnGBDfknn76abn00ktT9pgyZYr+ZCIiMrkFbDOhofT1ySefOMa7ZD4YS4mormKCS0REFAJMcImIiLwxwSUiIgoBJrhERETemOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuERERCHABJeIiMgbE1xKCzt27ND/5y3Ie4mIMgUTXIpn165d8vPPP+tn/mzfvl3/HxFR5mCCS0n12muvSUFBgUyYMEEtk+DkzjvvlBdeeEE/8/bpp59Kbm6u7NmzR28hIsp8THDrpnXr1sn48eOlsLBQXnzxRcekdM2aNXLllVcGbgAeNGiQzJkzRz8jIsoMTHApaSZPnixlZWUyc+ZMad++vfz1r3/Vr1TB67fddpt+5t8zzzwjN954o35GRJT5mODWTVdffbV8+OGHcvvtt0uDBg3k0Ucf1a9E/PTTT/Lvf/9btmzZorf4t3PnTjnvvPNUgkxElCmY4FLSDB48WD7++GP9TKSiokL/X8Tq1auldevW1b4Te/nll8v06dP1MyKizMYEt+758ccfpXPnzvpZbByF66+/Xp566in9LLjPP/9czjrrLNm7d6/eQkQUbkxwyTe0DuP3uuCCC6R58+Zy8sknq8fZZ5/tmKROnTpV2rRp4xo0r7nmGnnwwQf1s+CQPB933HH6GRFRZmOCmxleffVV+c9//iOnnXZaVCx94okn9DuiHX/88fLGG2/oZ9HQfblRo0aOiW8QF154oepRRUSUCZjgki8IyC1atJAnn3xSNm3apLfGh25TDRs2VHdy7bZt2yb169eXjRs36i3Vg32aN2+efkZElLmY4IYbxs726NFDcnJyZPHixb57L2EOiz/84Q+q15Pd8OHDZeDAgfpZ9b3yyityzjnn6GdEROHGBJcUjJPFbzFy5Ei59957Zffu3fqVSPelU045RX744Qe9xZ///e9/qtvTPvvsIzNmzNBbI5Awn3rqqfpZlQULFqgxuXfddZfeIvL9999Lt27dZNmyZXpLlQEDBjgm0EREmYYJbvpDnELSiQmhEMtwh9WESaCKi4v1M38wRnbcuHFy4IEHyhlnnBHTIwqx2WmoDmL4/fffr+aqwMSMJtwldqp3oYfWL37xi8BxnogoHTHBreNwlxVdk6644go11gceeughefjhh9X/Q9u2bV1nQHaCrlLXXnutmun422+/lb///e/yt7/9Tb8agd+9S5cu+lnE5s2bZcyYMSqAI5iXl5er7StXrpRf/epXKsjbTZo0SU1gRUSU6ZjgprdRo0ZJq1atZO3ateo5kl3csQXcfbXHPC9oJEbXZcycjMQUv7F1rC3iN5LSJUuW6C1VEGOxH0i0EeNNeXl5qveUkyOPPFIWLlyonxERhRcT3DoOLconnHBC5fgd/Ldfv34ya9Ys9RytwOgGHMTNN98sZ555ZuXfvOeee9SJ9s0336jn0KtXL3X31QqfiSUO3nnnHfX+L7/8Ur8ictNNN0lJSYl+VgV3gps1a6afERFlLreAje2pCObkDsN3fvnLX0bdsX366afVMnkwe/bsQGNcES9///vfq95VgIbfQw89VPr06aOew6pVq9Tv/t133+ktEfi3mHEZ0EB92WWXqf8H3KE95phj9LNouBuMZJqIKOxSEROZ4KYpdElC92EEQHRNxm9x3XXXyXPPPaffIapl+JBDDqmcBMPpYZ1kCi3GCPLz589Xz2Hu3LnqRLMuQ3DxxRer1m4r828gwcbkG1bosvzFF1/oZ1Xwtw877DD9jIgoc7kFbGxPRTAndyeeeKIcddRRKpaiizIaeouKiiqH+2Bpu2OPPdYxhpoP6yRTmITx3HPP1c8iEGsxOZUJPatwB9fu559/Vp+LHlT77bdf1BAhsxHbCf4+enAREYUdE9w6DJNK4AT46quv9JZYmBQD42j9Qis2JsMw797Cm2++Kb/+9a+jtqEVetiwYfpZFbznz3/+s9x99916S4TbmrfPP/+8NG7cWD8jIspcTHDTE+6K7rvvvvL444/rLbFef/31yruxfjRp0kTuu+8+/SwCPaPMO7OAO7VopEZC6wSTU6GB2jpu97333lNx0wl6c7nN5ExEFCZMcOuwadOmqRMA43jsrAERyxhs2LBBP4sPy/7YJ49Ci3bXrl31s4gRI0ZI//799bMquAOMfcJkU6bly5eria+cYBKN008/XT8jIspcbgEb21MRzMkZElwcfySxdmYsXbp0qZqbwq8GDRpETR6FOTIOOuigqAmjkNjuv//+av4KJxiCdN555+lnEUOGDKmcb8MOjdNuyxEREYVJKmIiE9w0haB48MEHy/vvv6+3RLz22msqKTUh4GEiJ+sdWDcIvugybHbLwh3gpk2bqjVrraZMmSLZ2dn6WRWMwUXARiszIIBjEXtrwm2Fsbn2sbxERJmICW76wgzHY8eO1c8iVqxYoSZbRBxD/PznP//pe1m77t27R02siLu5WE3ADpM4zpkzRz+LhmT2/PPP188isf2ll17Sz6KhoRt3oTF0iYgo7Jjg1nGYpAkBEBM4TZw4Uf773/86drMaPXq0ep/TUj12uIvbs2dPlcRecskl6jPstm7dqibQcEpc8VlYj+/RRx9VY4I/++wz/Uqs1q1bc1IMIqoTmOCmL8wRgQT2gQceUPEUja+IZWjkNWFSKMwvgWTVrdHWtH79evn3v/+t/h66JSOmYskgOySx1m7LVpi5+fjjj1f7gXks7rzzTv1KLHSf5oSNRJQpmOCSal3GjMVIOuPBnV50dzrppJNUstupUyf1uPTSS2MWrEdQx91ct7FBgH/rlpxiVkjsU7y7xl9//bUcccQRnhUFIqJMwAQ3/WEyRUzu5GbXrl1q/gmsToAlhTp27FgZS5999ln9ripYJi/eECEspxcvMUUMRfKN9eTjQXdm6/KARERhxgSXqgVLIWByKjysyyIEgTX+MINzdaGSgDG4RER1ARPczIIhOWYcxcNtbKwXzHGBZYiqC8OVMAs09oeIKBMwwaVa5ba+rRfc3Q26aD4RUZgxwSUnuGOM1Q6s3aGD6Nu3b9TEjkREYccEl2oVujBjZslFixbpLd7QfRmTbbjNHElElImY4JKbDz74wHV923gw1wXm3yAiyiRMcCktYMF6v9CVq7ot1UREYcUEl+LBknpBuzkHib1ERGHBBJeIiCgEmOASERF5Y4JLREQUAkxwiYiIvDHBJSIiCgEmuERERN6Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS4REVEIMMElIiLyxgSXiIgoBJjgEhEReWOCS0REFAJMcImIiLwxwSUiIgoBJrhERETemOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuBSjV69elRWmVD169+6tP52IiJygrHRilqOUvk488cTK3ykVD8ZUIqrLUA4mGxPckHnjjTdkn332qQyUDRs2lPLycvnss898P5YuXSqLFy+WRYsWyezZs+W5556T+++/XwYMGCCnnXaa/PKXv6z8+3gceOCBsmPHDr0HRERkh7LSiVmOUvrKycmp/J1SFVM3btyoP52IqG5BOZhsTHBD6MYbb4wKlv3799evJMauXbukrKxMzjnnnMrPmDdvnn6ViIjsUE46MctQSl9oODZ/JzxSEVPHjBmjXyUiqltQBiYbE9wQ2rNnj5x66qmVgRKPF198Ub+aWK+//rr85S9/kTvuuENvISIiO7eAbZbRlL5+/vnnlMdU3Cneu3ev3kpEVHekIiYywQ2pFStWyMEHH1wZjA899FD5+uuv9auJtX79+oS3aBMR1QZ0JU0Gt4BtltGU3lIdU48//niZOnWq3kJElFoYXvHBBx/oZ6mVipjIBDfESktLK4MxHmeddZZqiU6GBx98UP8fBdGqVSvVPS2Rvv32W7ngggv0M6LM9uOPP8p3332nnwW3c+dOldTiuvnmm2+S1hvFLWCb5TOlv1TG1DVr1kjHjh31MyIifzZs2KB6clYHyp0lS5bITz/9JH379pWJEyfqV1IrFTGRCW7I/ec//4kKyLfeeqt+JbHQyrN27Vr9jPw6/PDD5fvvv9fP3KFFv1+/ftKlSxe59NJL5corr5QZM2ao11566SWZPHmy+n/48ssv1ayfJDJy5EjfFdCSkhL56quv9LNYmzdvlptvvlkuueQS9cC1NX78ePUa7u5g7HttQ1BCQHrsscfkySefVOfFo48+qrb98MMP+l1Vdu/erV7De/D+xx9/XP23uhBU77vvPunevbs6VzGr+yuvvKIacTBRTzKg98jdd9+tnwVz++23y2WXXSaTJk2SUaNGyQknnKAmAEoGt4Btls0UDqmKqfDwww8zrlJCbNq0SU1sFgTGgcdLlNAw6LdeUlsQ0xHjENueeuopeeKJJ+SRRx5x3bdVq1ap9yMmIBYiNr711lv61WBqo85QUVGh4thHH32kt/jzxRdfSKdOnVQcRF2oW7ductBBB8ny5cv1O1IrFTGRCW7IYXbjpk2bVgbj/fbbT+bOnatfpURCAEEiGoTfBBfLRqC7iAkJw0033aQSuKysLPn444/1K+mb4L788sty2GGHqTtuqXLmmWeqMW1ekAT/+c9/VsHNCfa9efPm8uqrr+otEbijc+2118o//vEPGTdunN4aHBJTBCRUDvBZTg8/AQt/59lnn1WVDvOaz8vLU4HaqacAxvihEv273/1OzeSKFtvqJng4P1u3bi133nlnVKUICS8qPxdeeKHekjirV6+W//u//3NM3r2MGDFCJeBWF198sdx11136WWK5BWzzd6JwYEwNBtcmrtNkQkxBsoAk4uSTT5Zjjz1WJVtsHKiybds2+cMf/uCrvgGoUxx11FH6WazRo0erHgx+6yVBoOs/Ji51ioN4IA7j+/ixbt06mTJlSuUEbr/61a+ksLCwMhG3Qz0OSSnei/rKkCFD5P3339ev+of9TGadwc3TTz8t5513nn7mD2Zsb9y4sbpza/rkk0/UMUBjQG3AZycbE9wMgCUNrMsQYPIKtCxRYiB4Y7kHjMlC4RWEnwQXLX733nuvflYFLXWnnHKKHHLIIer/TemU4GLfkWChy/Qf//hHdf75DbCJgFZb3E30giDdtm1b/SwalvbAMf7888/1lmj//e9/1ffCdRYUutbi+Pz2t79V58L555+vkiynx7Bhw/S/8rZlyxa1T1gyDF1wveA8mjNnjn4W3NatW+XII49ULeR2y5YtU/tyzz336C2Jc9VVV8nYsWP1M//QkIGlWKxjKHE3+/e//72qGCcDjoETbHd7jdITY6p/77zzjvzpT3+Syy+/XD799FO9NXG2b9+uyu4FCxboLZG7Y0cffbRKstj4UCU3N1ceeugh/Sy+QYMGqbt5ThDXMUbcqdHUrV7i13XXXafKZjRUdO7c2TEWoiEjaPKMhltcqy1bttRb3OFa/utf/6qGrVRHMusM8aChHuf9e++9p7f4gzjap08f/SwCvZtQd0LjNxoJUi0VMZEJboZAgmQGYzzQFYFqBkkR7qyiVRStfEHv3oJXgovkABUpt24iaC21j9NKpwT33XffrSzk27Vrp869VCa4qPz4abVGC69TcoY7nGjFRouuG9whrl+/fuCxeOjChYoxfkO0GicaAhOOt7WF3Qkmsrntttv0s+rBndDTTz9dP4uGu7n77rtv4C5TXlCJxfGrzhrcuHvbrFkz/SzizTfflOzsbPVdkjGuEr+FE7NMpnBhTPUPd9swth3xDj05qnNHzA0SMafGOZQ3+F1QRlSnh0cmwnHyk+ChsQ89mjAe086sk2DpLDdO9RIvaCRFQoU78cmYPRzJJM4HfC8vuMM6f/58/SyYZNYZvKD7dYcOHfQzfxA/0cBunxUevd9wvqC7czLuNHvBb5VsTHAzCE58Mxjjga6DFBxa59CK2KBBA9VNpyYJm1eCi+6e+K3Q9dQJJveyd6lM1y7KtZHgAhohMKYmHpRlTnc6MbYc+4xxpG4Q8IMGFQRbVLySNWMv4BzAvk+fPl1viYVKBe4aV3dCCkCQxuyyN9xwg94S65hjjkl4MMcdoeoGXgRvXMNW119/vRQVFcnVV1+tGmYSDb+FE2x3e43SG2NqMIhjGBLRpEkT1WV05syZ+pXqa9Sokeoh5DSjNe4y4neJV37XNUi+li5dqp85e/7551W8dmLWSdB47MapXuKla9euKrFMRuMioN5hXqfxhknh7mdNVgVJVp3BC2I4rqugDclo2MX+okuyCT3L0JsJfxPjq93OhWTCPiUbE9wMgpYaXLjotoiTZ//995eCggLVWpfu0GUEXZBwMZrdJdA95u2335bZs2cnbSA8utjgDhiCMrqV4IECHoVgTZICk1eC27NnT/VbuSUpqIhj5lcrJrjR0B0VrZC44+L2wO/qBONPsM9ojV65cqXeGg3dmIK09qKB5IwzzlBBLplwJxL77tbNDK3zKA+cWumDwPmGz0FwXbhwoWO3NFSYEgkVqB49elTrGsT+oQvc4MGD9ZZIl25U/DD7JBJ1XOOJhmPkBNvdXqP0FraYirtLiGezZs1SFXHz+kHZhmQTca06PSKCwjWICjUaHvPz81UZhYp50Dt3+Du4c96iRQvH5UzMcZfmxD4kMm3aNDn77LMd46D5OOmkk1y7z5p1EtT/3Wavd6qXxINYFWRCyOrCMBrsO7rNO0F3dtx9dup67Vcy6gxecN2gwTfoJGKAicSwv9YGfvRwMu9Ao8EXDdjJ/m3ssE/JxgQ3AyEA4+QxH5jZLZ298MILalIAtLqhMo47p0h0USiiAEE3Csz2hkkJEgWBH909MBEAFvhHBd2p4l5TXgkuknfzd0KXSlQG0DUoXsWeCW4s3GlHAMCMivYHuui6BQY0rGAsjfkbHHHEEWqMJiZywN3P6kAFIRkJlB0qddhn+51KwPmDO7fV/Q52bdq0qTxG6BqNz0TltabJsxNUjDEhRnWTCLMl3zr7LY4VJuYCVHBwJyHR8JlOzONG4RWGmIo7btdcc41qYENlFec57nyi/MP5j/iKMY9IClMN5QTuaKF8NfelptBohYasAw44oNZmgk1X5557rkyYMMExHqKxF+eJG2udBA07fuslblBfQf0tGfUru4suukjtt1NPC9QlcRe5ppJRZ/DywAMPqAbf6hg4cKDaTxPKBsyXYg65Q4MvXsf1lErWfUoWJrgZCK09mO3UvADxCDo5Uqpg6nJ710e0PmIMiNliayZOiZzAArPfYdKo1157TW9JDq8EF1B4IUhbfy/MEokxiE6Y4MZC9zU0jDgFYMwcHK81Fb0E0J3YevzxwPkRr/uvG1QgcQcl2dBSj/3EuWyHCSTKysr0s5pDrwqMwbUfI9zRCjLJC1r+0a0Q57fbA5UhzJzs9Boq615Qmca+oZXahFknzdkukayg1TrR8JlOzGNF4RWGmIpGG+ss8bgusZ9mAxiuPTxPRCW/uv73v/+pnhSYlKoma1sD7grj+6TD8m3pBnNOINlzgkmKnO6GW6FO8pvf/KbyXDcfKIPd6iVucGMCPZpSAcNQsJ/4rx264rqtohBUIusMaHy3xznrAzdhUD/829/+FvMaeq55/R5ojMMcGSb0lMQkYSY0hGHf0bsplfCZycYEN0PhQsYgd/PCQxeEoAVTKmBmN/vkTSiAcVGb8F0+/PBD/Swx8PfQxQQz6aEw9zMTbXX4SXABAQfH4i9/+Uvlb4ZZBp0wwXWGO5boDWCF3xWTUMUbTwS4W4gWalSW0H3L/A0wOUPQGQZRscAae8mG8b3YR7QmWyWqpdoJzlMkz7hDgOQWn+9nFmsTEgWUQziHnR6YmAvXJLp3O73up2uZmeAikQX89igLzWt86NChauKaRMNnOsF2t9coPNI5puIOpr2hGHeUsJ9YVgxw5wY9o/wuv5JIuO4x4z1iO5KdmjYsI1FGIzi6L1fnrmKmQ1mHu3T2pAXJDRoY/UAcf+aZZ3zXS9zgt0LX4VRA92vsoz25x7WQ6F5ViaozYMiAU6wzH+hKjOTc6TXEeq874+a63mYXZMQ/a+8m7D9eT9bdZzf4zGRjgpvBcAfHvOjwQDfDdGNfPw+FKlqb4nWhSSR0h7zsssvUHaOaTijlxG+Ca0IhhKDyi1/8Qv1mTjPkomALkuCihXD48OGBH0G7hNd2govjZp/ZETMnV2f2U4w1RaKF7+M1gZUdziOzO2wyIXEzr21rcEpkS3U8SCTbt2+vWpIT5V//+pfjbNdBmEsooVsdoNED+2lCi3W8GTCrC5/pxPyNKPzSNaaizLXPJIzlWNDFFGtg1iZ0R8Y62bi2ceerptDIddxxx6lruiZjKTMdeqncfffd+lkEloupznJufuolbvAboVdOKu4QYm1a7J91Bn1cG+iqj0aWZKpJncENkl/cKXYb6+sHenZgn8xhAag7Yl9N5pJGqW4owmcmGxPcDIc1OHEi4YFB/unOLKDMVudUwdgUJCXoOoXJaYJMoBCPW4KLABEvEcR6djgOTsstBE1wi4uL1TIxQR/WdQf9qO0EF4EUv591bbt//vOf6q6gHe5iWGcVdII7Dvg+QddhRXKJ393eeJMMuDuNfTQnDEG3yaCzW8bjNdswrhtMPpUImAAHPTfMluaawGL/WLsaMD4KvTRM6L6GJU0SDb+DE2x3e43CJywxFXfarD2hUg1dkNGNGENHrNdfTeBuFZJlzLfAO7fxIYlBQ4AJCQ5mznVr8PCqk0C8ekk8mKgNDS7JtmTJErV/mCfChETfmtBVVzLrDG7QWwpDrGoCfwP7hOtx7dq1ahkl611f3KHHetKphn1KNia4Gc7sxoiJb8LAHENRnTVnEwGfizs8SJRQkUEyWRNuCS4q3/GSaHSvRGupU9fpoAluqtR2ggu4828mL0g03cblYlIxjFOKB+No8X3QrS8oNCpgzdVktxpjdlHsI74PAlgiW6oxmYZXcEU3rSB3sfB+jKVHRcH+aNWqlbq74PQaHqi8+J2cBneV0TMD0DsDibgJAf2tt97SzxIHv4MTbHd7jcInDDEVZfB+++2Xkp4kdohraCRGF1nE0EROAIUkyeyZYUL5nqgG6UyDchCTjgEm1cQkY2686iQQr14SD+5Eont6IpaNigefY5a3iIeYTRmTLCVCsuoM6HnhFO/Q4ItrCH/L6XU80Cjh1UUZ81Zgn3AdPvTQQ2ryVitM/nbWWWfpZ6mDfUo2JrgZDF31/v73v6vJMcLSlQeJGwpCK1SKn3vuOf2sCiryjz32mBpPgJb0RE6qgy6fuIuJynG3bt1cp9T34pbgomU1XjBBdy4kSE6Y4LrD2GqsyQo4L9yWB0KLslewQqKM8TTVHbOGRAoTQFX33PHjkksuUcccd22RjJqVmUTA9YTvEA8+D636fuGOMMYr4fy1PnAXGHdd7dvtDz+TTAEqa0iYsTSJ/S4WrudkjEN0C9jYnopgTskXlpiKbvk45zD20Ao9pJzOfYx5x7AUrGaAuBd03gHAeGSUQaiUIwlNdNKJ8tg6dtCEMojrEztDXDAn1EN9Ar+/G686CcSrl3hBWYyxvNVpMA4C5x/OfSSIqJPYu+5XV7LqDOjd4BTrcKcVPbScXjMfqF94zQOAhmoM+3v99dfVEC5770j8HXujUSqkIiYywc1QSApREGG5jdoeg+MGFx5amDFQHzCjMsYMofuRFSbssSe4uCOD1kmsl2m2YGGym88//1z9f6KgpRLT7eM4YhIjTJgQhFOCi98D39MtIccdAnQZcfssJrjxYWZBdK/GxBa46+cEwRwByw1agvGb4/yqCVQo8HfQVRqTwOBcRpLm9EBADgp3SnDMsdSV34mTMJuwn++F42Pt4uYEySL2vabQgoxZoRMFlShMQoPjYw/e6OKYDG4BG9tTEcwpudI5piI+ojHK7N6P3gs456xj9/Ca08y66EaMxiB0XwQku0GWJMFYfLwfvWWQINd0dmQnGJePxNsJuoOmYtb6MMK4VyRJ6DVz2GGHufbu8aqTgFe9xA80EGGVDJyfmPQJyZY9DuKB87m69QjEQpz7p512Wsykk05wXePOJhLAeFJVZwBcQ/i9rMOtauLMM89UvSMxSZ51vg6cH0h+EzE2PqhUxEQmuBmqd+/eahzC0qVL9Zb0g9ZFnORoOQaMlUPiZp2VFUHXfhcJ3RSRxFgLGySi6CqZrOQKgQFB9pVXXtFb/HFKcM2JSlAA2ytK6FaL74bZAN2ka4Jrdpet7ZlF0c0VM0Ui0DnZtGmTCuaokDmNJTInRcHd0UTA33vxxRdV1/crrrhC3fF0emBB9qDQ+IJjjvPMT6uxGdDwb7xaoxHQf/3rX7sGbExg0rRpUxXYawLd1tx+q5rATNJIcrGOtgm/fbLGguGYOsF2t9coPNI1pqKBF/uFZV0w8Ry6ImIZEFzn1gZfJIj2Jb2efPJJdY1Y79jirq85A7kfGN+IiQz9Dh8ICskrvhvKGusDy6bgjiC+Z3XuONcVmGQR8RCNfW7i1UnAT73EL5TBiNGY/MgpDuKBa82tcdoLyn18F7+TS5rfHasCoLHGSarrDJjpON7vFdTHH3+s7izb776jR4R9Ys5USUVMZIKbgVBRxrpZ6d6qie6K6E6KVrxhw4apAfooYNClEMkvKtZodbIHTrP7FWYExFqXSJDRJRFdYNKNU4KLgh0FGO4ytmzZUl1nSJyxDcfDa5xKOiW4Q4YMUWuMotsplqvBOnCYSRDLyODhtTxPMiBAY5yQ20yGaB1GQY9zDfuIcWLYhusFXYxwbKsz02RtmDFjhroW/LRUA+7itG3bVlUQ7cuKWKF3Bbrno7ECDUwXXnihGsOFsato7cZvjrE8ifh9cQ14tZ5XB3qE4Nig8o1Wa9yBwH7X5A5EPG4BG9vdXqNwSPeYiko9ekNhkjk0oqFCjriI8x2z36Ky7LQ+J8o6rEuLIT54P2YXLyoqUne10gHG1yJ5N68hpweWayJ3mGQRxylew4xTnQQ9fYLUS9IFlr1BMueWrNqhQQiNJWgEcLuDnco6A65d3L3FfxMJvSww8RwaDlAnRVxEr0TE+tqAczLZmOBmGHTvQEvTI488orekNwQwjJu0XmQY24RWYbcLDxXzRo0a6WfpzSnBRWXe7FaNO8/ooo1uVkj0/bSCp+sd3HSC4PPTTz/pZ9HQAmvtRoeuwZgUChU8XDeJ6haUCji3vO7EuolXvuMYoNXXhGQRn4MGJQTy6rau26EChXUxk2Hy5MmqRR0Naai0l5SU+K70VIdbwDYr4hROYYmpGD+Ja9Y6CzlmckfDr9NENBibiLufaFimzIXeZ16rUjjVSXC3FuW933pJusA1EHQFCECcQFLvJJV1BtRvccMn0dCQhR4ciOOYWRnDeBKxYkF1McGlQHDRYaKWRHZtSEe4q4sxQ04SNYNsojgluDXFBJdqCl0XH330Uf2s9mCSDGsX4kTC93O6a5UsTHAzTybHVCS4OC+dek+kWxwlSjb0TKrt4VVIlNFzKtF1RjT2p9us70xwyTeMkcCsa+hK6NRaW1P4m7XZ2mOFbiFYONwehHEX1GnNUyfoknPxxRcHfqC7VxBMcOsejBvHeByn8yfeIxmttm7wWYnuAhUUll1Ad+lMwQQ3syQ7pgJiam3GVfSesK/ZiUo+xkH63S/cFerSpYtjmeb2yMnJCbzUDIUXZrl2Og/cHuh5Y+1BlGw411EnrG0YaodJ3+oCJrjkC1piMSEM+tfXdMIXN5jh9Ouvv9bPah9ma8Rsy5gQA5PdYK0z+wQa8aDLCcYvBn0E7eLIBLfuQbd7dPFyOn/iPZI1NtQO5z7G3NUmJAwY81SdrmTpiglu5khFTAWM5avNuIqhB5jhHUuVoAs/JsIbPXp0oLH1aCh77bXXHMs0t8fs2bP1v6a6AOeZ03ng9kCvgmQs5eYGdcjaHl+PcgD1xVR+79rEBJc84S4mBoo3bNgwqTMJ2lt50wFagFFwpvN6hExwKd1gIo3a7o2BCUuwpmImYYKbGVIVUzHPxAUXXKCf1S403IZp7gGiREFjK8bZ1zZM5oUJq+oKJrjkCTMnYm2y8vJyvSXxEIixbhkFhy5giU7AURHJtOSA6hYk2Ilu+KltTHAzQ6piKmadx6zHREToNYLeX3UFE1yKC7OZ7rfffvLyyy/rLYmFxAzjAbAGXW13aSQiSmdMcMMvlTEVy99wHCoR1UVMcMkVxsRiiv/x48frLYmBOysffPCBmjUSs7mZlbNkBXwiokzgFrDNMpTSW6pjat++ffU7iIjqllTERCa4IYSuU+hC1bhxY7VWGWaoC/pAS/Vtt92m1vHCzG2YBbFFixaqZdkMwNZHOk0wRUSUblBOOjHLUEpfWEM21TEVSxAREdVFKAOTjQluyGAJEkxcZA+WyXwcffTR+tOJiMgJykonZjlK6QtJqfk7peLBmEpEdRnKwWRjghsyWBYHa2ym8jFlyhT96URE5MQtYJtJDaUvJLhOsS9ZD8ZUIqrLmOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuERERCHABJeIiMgbE1wiIqIQYIJLRETkjQkuERFRCDDBJSIi8sYEl4iIKASY4BIREXljgku1ZteuXfLzzz/rZ/7t2LFD/x8RUd3BBJec1CQmbt++Xf8fEVHmYIJLtWLNmjVy5ZVXugbmTZs2yYwZM9Rj8+bNatsXX3yhEuJPP/1UcnNzZc+ePWo7EVFdwAS37vjxxx/lySeflIKCAnniiSdk3bp1+pVod955p7zwwgv6Way9e/fK4sWLZerUqfLRRx+pbYijiKcwaNAgmTNnjvp/IqJMwQSXqi0/P19atmwpv/vd76R9+/ZyzTXXqEe/fv0kJydH/vGPf6jX3nnnHf0vIn766Sf597//LVu2bNFbqiCoDxkyRP773//KzJkz5a233pIbb7xRSkpK5Nhjj9XvEnnmmWfUdiKiuoIJbt0xbNgweffdd1WSe8IJJ8jll1+uX6lSVlYmt912m34WC7G3S5cuMmnSJHnvvffksccek5tuukkltffff796z86dO+W8885Tjc5ERJmCCS7VyMCBA+WAAw6QH374QW+pgpbjFi1ayCeffKK3RFx//fXy1FNP6WfRunfvLs8995x+VgUJ9CWXXKKfRSDgT58+XT8jIspsTHDrjo4dO6rGYFNFRYX+v4jVq1dL69atXXsylZeXy1lnnaWGAlm9//776lxBTyjT559/rt6LmE1ElAmY4FIlBLwBAwZImzZtpHnz5nLyySerB5JYNyeeeKK0atVKP4uFZPa7777Tz0R1s2rUqFFMsIaVK1eqv+fk7rvvlgkTJuhnER9//LEcd9xx+hkRUWZjghte6J2E+s4FF1wQFV/PPvtsxyQVvaHQPdkNXn/wwQf1s1iI425dl//+97/r/6ty4YUXqjvCRESZgAkuKejmlJ2drboE+52wAl2M9913X7n55pv1loj58+fr/xMZM2aM/r+I4cOHuybMc+fOlZNOOkk/i4YuVuaYISvcIZ43b55+RkSUuZjghtcNN9yguhtjfgk/lixZIvvtt5+88sorekuVbdu2Sf369WXjxo16SzSMsf3lL38pL730kt4SzSlxxuecc845+hkRUbgxwa0DcAf19ttvl8LCQhk5cqQsXLhQvxKBoIvuvk53VeNB6zBOoDfeeENviXR1sie8Vqeccoprt2LckcXfu+yyy9TYod27d+tX3OGO8+DBg/UzIqLM5RawsT0VwZycoWsvxrfeeuutKsba74QiLt533336mTfE4ldffVUOP/xwOfTQQ2Xt2rX6lQi8duqpp+pnzo466ihp2LChPPTQQ64TVFmhwfoXv/iF43AjIqKwSUVMZIJbi5BM/u1vf5MFCxao5+gKZe1SjCUCMIEFuk8FheQSJxAmm8LviIkrEFCtCa8VxhMhgKJl2gn27fzzz6+srP3mN79R45DsY3itcGcX43OJiDKdW8A2y0xKva+++kpNgIjuwmYjMeaSQFJratu2raxfv14/i+/7779XvamKiopk2bJlsv/++8tVV12lX41AvMXkUfFMmzZNDjrooMpz4+ijj1YN3fHG2R555JExDeBERGGUipjIBLeWoPsSApy1NRnBGDMmmtAtuH///vpZMEiM0UUYXa7wWQjoTZs2de3ivGrVKnXCWcfkOsFsj+jKfMYZZ6j3oyuWW+UALdnNmjXTz4iIMpdbwMb2VARzioaGYcRBawzFrMQY/4pEFdATCXHSDyTImDjK2oW4U6dOMWNme/XqpRqYvSA2T548WS2r98c//lGdI5hF2Q16WL344ov6GRFReKUiJjLBrSW4e4sZjtFtCg8ca3TntSaLWCrgiCOOqJzwwunhNGYWa9Pus88+akkfK9zNNaHLk7U1GHdicQc3CHRVRgs27tQ6QYJ+2GGH6WdERJmLCW56MYfp4A7riBEjVMMsEk9zvVlAj6VDDjnEMbbiYZ1kCmvVolHaOvMx/m7jxo31s4iLL75YRo0apZ/5g7+JiaRwl9YN9gVdmomIwo4JbgZDoELLbTy4Azp06FD9zL/nn39enTyvv/663hJhnQ0S6/hZu2l98803KinGBBhOZs2apf8vGrpWuc3uiP2wB38iokzkFrCxPRXBnKJh4iisChAPhgFhCR4/rrzySpW8WiGOYuiOVZ8+fdR2J4iVH374oX4W7emnn4678gDuRj/xxBP6GRFReDHBzWAYE+TWHclMMtG1GDMXB51gCq3UuDvs1h0Za/RhHJIVPhN3Y3H31+7bb79VXans0AUMk2xs2LBBb4mGO9Cnn366fkZElLmY4KYXLIPntkyedawrlgVCouulW7duMZMmYmZj+xJ5uKvrNrSob9++apiPE9xhRlLu5g9/+IPrHBpERGHCBDeDvfnmm2rNPSskpOhOhbG4Joz3wTJBQRxzzDGuieWXX36pWoJnzpypt1TBWKI5c+boZ1WmTJnimIxfffXVMnHiRP0sFv6Nn7FIRERhxwQ3vaDXEboU2yduGjt2bNQSPUganRpw7dDrCt2ITVhZALMhY1yvFeIlJqJyghjrlMRimT0k2lhiyAkmgcSyfxhaREQUdkxwMxgmt+jatavqylRaWqqWL0Dr8MqVK/U7ItCtGEH12muvrZwYw83dd98tnTt3VicOAi8WmzcfOTk5anIN3KV1m/gJY3Yxk6Mdulxh/O4999yj1uJ96qmn1L57VQowIQcnxSCiuoAJbvrB8ntYZg/dfxEfMWcF5oawQ4zDrMjxoJcTGqCx1N7DDz+sVhGwx2vYunWr/P73v49JrLEcEHpk3XvvvervYAgPkmvsY48ePVRPKTdokOaEjUSUKZjg1gGYtRhB0m3sqwnJJO7KYsbHDh06qNkb8Ujkb1ReXu4YRNG6DHgdY4jQxQotyvF8/fXXaoKseMseEBFlCia46Ql3WBHDrJND2SFeYQUDJKAYU2vG10svvTRq7grA0KHly5frZ87wb+2Nu2igxr8FxP0ZM2ao99jX0XWC8b9IqomIMgETXIqBYIslfdCNGY9Ed1nCndnZs2frZ9WHO9MYg0tEVBcwwc0MuNNqxlf8f3X873//U+vrJgLmxTjxxBNd59QgIgobJriUcugmhVkl/Uy64QbjfL0WuiciyiRMcMkKc1CUlJToZ9WHiakWLFignxERhR8TXKoVH3zwgfTr108/CwZdrzDbpNNszEREmYoJLllh2BHmzli0aJHeEtyjjz4adyJHIqIwYoJLtQZjjLAMUFDo1lWTu79ERGHEBJecfPLJJ/r/gqvJvyUiSldMcImIiEKACS4REZE3JrhEREQhwASXiIjIGxNcIiKiEGCCS0RE5I0JLhERUQgwwSUiIvLGBJeIiCgEmOASERF5Y4JLREQUAkxwiYiIvDHBJSIiCgEmuERERN6Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS5Rhvn555/1/6WXdN0vorBggkuUGukaryoqKvT/EVE8THCJMsDcuXPloosuko4dO8rNN9+st6aX4cOHyxlnnCHdunWTd999V28lIr+Y4BIlz/Lly+Waa66Rf/7zn3LVVVfJxo0b9Svp48MPP5QuXbrIqaeeKuPGjZMffvhBv0JEVkxwiULu4Ycflv3331+eeeYZvSW9YT/33XdfmTBhgt5CYbZp0ya5//779TN/xowZI3v27NHPwmHx4sVSWlrq+4FGp0RjgkuUHIsWLZL69evLwIEDQ1E2ff/999K6dWtp2rSpfPfdd3orpYPHHntMVq9erZ95mz17tv6/8Jg1a5Zj3Iv3+Oyzz/S/Tg0muEQhhm5Uf/rTn6RTp056i7ubbrpJBg8eLFdccYX06dNHNmzYoF+puaVLl8pJJ50kr732mt4SX/v27eWPf/yjfkZhtm3bNvnDH/6gKlx+fPzxx3LUUUfpZ+HxzjvvqES+ZcuWKnA2atRIHnjgAXnkkUcqH3j91ltvVa+dfPLJ+l8mDhNcouTAXdHf//73nsktyoGuXbvK9ddfL/3795dLL71U3VVNBHz27bffLmeddZbeEt/ChQvVdY9yiNLHsGHDVH3LryDvTRdTp06Ve+65R/785z+rc/Ccc86RBx98sDIW4sYLXh8yZIhqhMF7/vvf/+p/nRqpiIlMcImSBEkFLmIE23hQyKDAMT333HPSsGFD+fbbb/WW4KZNmyaDBg1SyfXf//53tR8vvPCCfjW+a6+9Vr3/p59+0lsozHJzc+Whhx7Sz+LDOTNq1Cj9LHyuvvpqde7edtttekusGTNm+Gp0CsotYGO722tE5O3EE0+U5s2b62fOEPMQN1euXKm3iHzxxRdy+OGHy8yZM/WWYNDFGAlRTk6OnH/++ap3E/bFjy1btqjrHvGd0seKFSvUeeJnHDe6wYc5Hh5zzDHqHIw37Gzv3r2qwRcJbyqlIiYywSVKEjPBjdcy9t5776mgae8yc/bZZ9eoEo67tmi5RuGFyj72w2+Ci25geP/27dv1FgqzOXPmqDubXnbv3q1afNesWaO3hI8Z0HH3xM1XX32lGnESzS1gY7vba0TkDUllvF4XSEQbNGggo0eP1luqjBgxQiW51Ylnu3btUuWn2dh84IEH+k5w/cR/qh3Z2dm+erQh6XvppZf0s3BZv369Ov8OOuggVQ+MBz2bcGMllVIRE5ngUp2Hix/dNzB5BYLkb37zG8nKyqp8YCxNdfgJcOiSjK5X9tkX7777bpX4YgxlTTHBJXQ7RqNHPM8//7y0a9dOP0sO3NXAHZEWLVrIoYceGnOt3XjjjfqdwZkB/be//W3cgP7NN9/IHXfcoZ8ljlvAxna314gyzaeffip9+/aVo48+WlWuzWv74IMPVndZq8MrwZ08ebK6xjAW3+6jjz5Sr6F8qykmuJmhpKREdV/3gt862Q2+btdLTa8ZzKeC8++CCy7QW9whkcc491RKRUxkgkt1Gu5youvThRdeqAoSdG9K1FT/fgIcusr84x//0M+qmIXTk08+qbdUHxNcKiws9EweMcv3008/rZ8lHs7pv/zlL6rL/ptvvpnQceYQL6C/8sorlUkvrnGMUUo0fLYTbHd7jShTYEgL7gQhpqGBFr2TEhVDvBLcyy67TF1jTjMro5zBa1deeaXeUn1McDPDjh071Dwj8SYAQ8MIks5kSeb1AuZwnbFjx+otVV588UX9fxHYj1TPSp6KmMgEl9ICxsqgFQl3d8xJIdDtCJM64OKr7hiaeNCNEXdsMeNcMngFOIwFwetYUsDurbfeUq/95z//0VuqjwkuoQs8WoQxoYTbA5NRoUuemwULFqhr9IYbblBjeoOM0caSGbhr++WXX+otiWcGdJQZdph4Jtnw2U6w3e01okTCNYnKK5ajw7wO5vWMeILJcu67776E9ApygkZijPffunWr3pI4XgkuGs5wje3cuVNvqYKxlugN1bhxY72l+pjgZg40eOC8cYqFeGCC0KKiIv3uaLjO0GiKLvGIhy+//LJ+xb9kXi9gDtdB4myF679fv376WURtrN+cipjIBJdqHRIv3GH68ccfVXcQJJ24w9OrVy91twVjYNB1Y968efpf1Bxa8FAAJCNxNqEgiRfgUPDgdcxwZzd//nz1Gu6q1VR1E1zMwEuZ49xzz1XLP2EMqv2BcxRrTDrBNYiZtVEh+Prrr9VY3ccff1zdNfED3QaPPPJIWbdund6SHE4BHfuKhBdDAZINn+0E291eI0oUNEjiGkZXQyR1SGjRmwG9FcaPH6/ia+fOnR3jTU0hmcbf9RrrV13HHnts3AT3V7/6ley33376Waxf/OIXqrtnTVUnwfWaZJJqB+pYmIDTKR5iyZzf/e53ajiLHeqjJ5xwgrrrinokfmc0rhYXF+t3eEv29WIO10GjtnXmcQwRwozk6NJf21IRE5ngUq3CnVu0gFlhgqVf/vKX8sEHH6jnGBeIiwFjFRIF57a9FSvRPvnkE7XfbuP93njjDfV6hw4d9JYqZvLbpk0bvaX6gia4aLXE+1HQU+aYMmWKXHTRRfpZNHTFMq83q+XLl6tAj9mV7RDk/cCyGs8++6x+lhxmN0SsOX3GGWeo6wZ3jBHgsR1jrpINn+ME291eI0oUTJy2atUq/UzUWs847y6++GL1HDOp4nmiezOgIRTJY01m/feCeSr+9a9/6WfRUIHH90IjuBskwLiLW9M7VUESXED5g7t0lJ5wpxZL49lhqM6///1v/axKWVmZOo/sdSkkxJdccol+Fl8qrhdzuM4hhxyiYiEeaCQ64IAD1HZrOVFbsB/JxgSXahXWfEVrkxUq29ZxqbgYE7WWnem4445LWtdkQCDF0gKYSMetIEO3FlzkTknH+++/r1477bTT9JbqC5rg4i4duqsmYswSpQ9038O4I/vYV3Q9Pv744/WzKuiGhfHpuPuKO6FWqCz7uYOLcT2oXCa7uzsSaJzjWMrDCp+LO7vWpUOSxS1gY7vba0SJgIYoe0MxKuk478zGJdzVRc+oRPfMQaUfjUrJgjtjSCrcZr3FNY7vicq8m1//+tfqPfGGYPgRNMHFEkFIcpEAUfpB7x70WLM777zzYiYlwzWGxLRnz556SxWMc7Uu9RhPsq8XwM0bnO/24Tr4Dojn6SAVMZEJLtUq+/I46O6BYObWXTJRUOlGF67hw4d7PiZOnKj/lTfc9cSMzBhXi64gKFDcoKsLLnKnbshmF2V0K62poAkuICCjWypmlsZ4S3sjBIUTulKha5XVVVdd5bgG3v3336/OG1QA0L34888/V40ymPGxR48eqruTFyTChx12mON15fTAGrXV4RbQAdehldM4vUTA5zvBdrfXiBIBcRNzVlhdd911ss8++yR98hjEl1atWjlez9YH5tLwmsndhCQcEyyi8RerGMQbSoTGZNQZ4nVBRhdl3L2qqaAJLhoV7rzzTnX3bPDgwUkdEkXBIa5haTxrAy6Gydm3AeIIynHcHV27dq0aelNaWqrG0mLuGL+9A/xeL3gEuWascIMI+2off4vYhxsvVjhHa2M4WipiIhNcSivmXc1kd2lEgovCA4WN1wPjDf1CZQLvb9u2rWoFjFc4lZeXq+/qNOurmfya3ctqAt8BfytIgrtkyRKV4KJ7Kbp3Jnv8JKUGJlZD7wUTxuWh+59TJRjnL84b3IVAAoyGG3Srt1ek40GA/b//+7+Ya8rtgTtM1eEW0OGpp57S/xcR5DoIAp/vBNvdXiNKFoxZdZqhP9HQqIQ7Uk7Xs/WB96GRzA8kF7jT1bt3b2nWrJnnJD4YRoG7tG6QAKOcq6nqJLi4u4deaShHk9lrjKoH9RycaybMB4PGISv8jji/sAQdYiEmTXz00UdVvLEnwl78Xi94BLlmTGaPBvv4W0DvLcRwK3wf1EVTLRUxkQkupRVMyIATP9l3DFHJf/311/Wz5MDYG3QJdUsOzUmoTjnlFL2lCiYGwWs1WRfUhIISf8tvxR4tmBjPhDt1lHlwN8Fc8+6JJ55QE884wQQcuPMRNIBbmV2Uk9lCjKCNO1VOAd0JWt2TwS1gY7vba0TJgDu6mHQp2fNMAJID3JFKFjQYI0GNF69RpuEaw6Q/dmacTcRwn6AJLuYuQCzFXCOUnlDXso7vxprx//vf//SzCEw2hXMoOztbb6m+ZF8vuDmBfbUP13GCYUh+1gNOhlTERCa4lFYQPOxrj6GC/dxzz+lnVTAD3WOPPabuxI4cOTKqFc4L/k2yE7hly5apixitfW6aNGmipqq3w3IO+LdY3qGmgia4mPoe7w/ackjhcNddd6muyoCA7XZ35KSTTkrI0hr4jGSur+s2/tYJxrZjeYdkwD44wXa314iSAWU9zjn7dYdr3amxCbEKXSJx9wrxIkiPHdwxwh3UZPXyQddP9AJBV1A3mC8C3xdL79mZkz0moj4bJMHFXT807nXv3l1voXSEJA9dknH+ouec02zdWMoH51Ailm1M9vWC+IZ9dRquY4cJUJMZm+PBPiYbE1yqNZs3b1YtzGaXCbRy4k7M5Zdfrp6bJk2aFJPgYqwrWm3RbdIc+4BA4jcpQ9dMdN+q7pg/P7CIOC7ieOvgITFHSzsKPSvc/cWYIhS+Vq+++qr6zkEETXDNZYJwF4AyD+54YhIxzEqO8bFuSxVgrI5T44sJDTd+Jm9CizImtsDkZckQb/ytFa5H7Eeyeoe4BWxsd3uNKBEQHzFhI5IqwARwOOes1ydec5rQcNSoUeqOEsYVApJdjLEPAg3NmKnVTw+K6sCM7fGWCcISgvi+uBtnhzvAeM0+fAGJL8qMIOuQBklwET/xuU6TGFF6GTBggKonoe75wAMP6K3REAvt41dNqKeht53fcbjJvF7MuTOchutYobG3UaNGNeqhVRPYx2Rjgku1BneScJKj5RjQCovgYW3xRNBF4LZCcoqA179/f70lMngeBUaQpAwzM6PlLllJrhng4iW4qHSj4LSu8YvEH7MvY81SKyQm6KqFv4klX/zC5+PfYMyIH2aCa0+6KXN06tRJzZyMiU/cYPkEnG9IUK0wEynGk2HyMb8QdDGWLtGzieK6R5KO8xUTWjlBxR4TgyC5xRJkyYJ9cILtbq8R1RQq1bgj9Jvf/EaV2ZjYEMNecO1aG3xRgcfSQVaYyAlL8lnvJuGOTkFBgX7mHybh8Tv5XFCoF8RLcAHL7WFJQSscG/QgcVoaCcOUcF3a6xduMPcAjimSAj+JjJ/4T+kBY1DRWwn1LrfzF73qGjZsGDMTNxpMu3Xr5plQ2iXrekHPxHjDddCNH730MJ54xIgRemvqpSImMsGlWoMKKZbwQBdDzEKHllaM/8SdVSS/uFOJMblIaK3M7leY/RUXKBJktMB99NFH+h3+YawFZjzGGAx0cUbrdaIW3/Yb4FC49urVS3Udw8x8mIAACYQ9iKKijsmrsHabfUkIOyTACPb4W5hcAwU3knlU8LH97bff1u+MxQQ387300kvqN/aaoRHXBK6PRx55RN0lwvWG7s32pNcPLLuAyiHW60SjUk3u6GLiKMyuigoHvgce6NFhrvmHx5lnnqmSagRyvI6eEtOmTdN/IfHwGU7M/SNKFiRw6MmA8eVXXHGFGneKuIiJ4tC4g4as6dOn63dXQeKIMYfoSYT333zzzWod9Orc1UGFGhXnww8/XN0ZRaNtoirvfhJcfBbiI1ZgQNKBcZNIXjF0AQ3Jdkji0ThmT4rtMAkRVjPAcCLEUSxHhMZBHNu8vDz9rlhMcMMFQ3LijUdF/Wvo0KHqfMA1hcah/Px8dc1UZ6byRF8v2JeWLVuqXgboCXn66adHxUPES9StzbVwMTY8mWvxeklFTGSCS7UKFznupOKupQktZJjt1brNCskdKsqJgoILdzcxm/ERRxyhKsRoATMfKBiqI0iAw90yVDCwhIufbtbJvDaZ4GY+NOL4nakc1ygaYZAM17TxB90BMc4PXSIbNGgQdZ3hgYadsHIL2NieimBOdRsSOsQRxDMTluFDw6/THUfzjmSQVQL8wFAjNGIhCUTjqnltY8hNdRuY/CS4gO85e/Zs1e0ayYP9jrUTNK4nAxPccEGjP26weEG9CHdr7UtcVpfb9VLTaybdpSImMsGl0MFdXbdZ6BJ19zURkhXgkAD77W5cHUxwiYJzC9jYnopgThQEElycl06zE6dTHAW/CW5QSIixHn4yMMElcpeKmMgEl0IHa8mhe4U9CGO9OXS9TBcY64CLGAl5IqHFGV3QkgXdvbHfTHCJ/HML2NieimBOFBSGsCBuWmEmYkxyaL0TXNtatGghzZs3188SB3fHkjUHh59JJonqqlTERCa4FEro5ogZ7zAhBrr14q6jn+5IqYbxOvGWNwgKM99hvFQyYUxSvNlziSgWE1wKG3SP/Oc//6lmji0pKVF3M9G1N90aNzH7M9aUT+SMr7jDitmmkwVzjOC6T2ZvK6KwYoJLFAdmUEWAts9ql04weywmt3FavqA6MOlPMlvWMR5r//33l8mTJ+stROQHE1wKK4w9rM0JZ7xgzCPGJKI3lNvssEFhzdNkLRmGY3naaaepO8/oCk5E0ZjgEmUABGdMI3/WWWfJrbfeqremF8zAh5mkMRvnggUL9FYi8osJLlHyYFIfdPfFTLGYHdlpZuTa9s4776ilX7A00R133MFhPkQumOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuERERCHABJeIiMgbE1wiIqIQYIJLRETkjQkuERFRCDDBJSIi8sYEl4iIKASY4BIREXljgktERBQCTHCJiIi8McElIiIKASa4RERE3pjgEhERhQATXCIiIm9McImIiEKACS4REZE3JrhEREQhwASXiIjIGxNcIiKiEGCCS0RE5I0JLhERUQgwwSUiIvLGBJeIiCgEmOASERF5Y4JLREQUAkxwiYiIvDHBJSIiCgEmuERERN6Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS4REVEIMMElIiLyxgSXiIgoBJjgEhEReWOCS0REFAJMcImIiLwxwSUiIgoBJrhERETemOASERGFABNcIiIib0xwiYiIQoAJLhERkTcmuERERCHABJeIiMgbE1wiIqIQYIJLRETkjQkuERFRCDDBJSIi8sYEl4iIKASY4BIREXljgktERBQCTHCJiIi8McElIiIKASa4RERE3pjgEhERhQATXCIiIm9McImIiEKACS4REZE3JrhEREQhwASXiIjIGxNcIiKiEGCCS0RE5I0JLhERUQgwwSUiIvLGBJeIiCgEmOASERF5Y4JLREQUAkxwiYiIvDHBJSIiCgEmuERERN6Y4BIREYUAE1wiIiJvTHCJiIhCgAkuERGRNya4REREIcAEl4iIyBsTXCIiohBggktEROSNCS4REVEIMMElIiLyxgSXiIgoBJjgEhEReWOCS0REFAJMcImIiLzVeoJbUFBQGZz54IMPPvjggw/3h9327dsd38cHH3zwwQcfdfWRCmxWJiIiIiIioozABJeIiIiIiIgyAhNcIiIiIiIiyghMcImIiIiIiCgjMMElIiIiIiKijMAEl4iIiIiIiDICE1wiIiIiIiLKCExwiYiIiIiIKCMwwSUiIiIiIqKMwASXiIiIiIiIMgITXCIiIiIiIsoITHCJiIiIiIgoIzDBJSIiIiIioozABJeIiIiIiIgyAhNcIiIiIiIiyghMcImIiIiIiCgjMMElIiIiIiKijMAEl4iIiIiIiDICE1wiIiIiIiLKCExwiYiIiIiIKCMwwSUiIiIiIqKMwASXiIiIiIiIMgITXCIiIiIiIsoITHCJiIiIiIgoIzDBJSIiIiIioozABJeIiIiIiIgyAhNcIiIiIiIiyghMcImIiIiIiCgjMMElIiIiIiKijMAEl4iIiIiIiDICE1wiIiIiIiLKCExwiYiIiIiIKCMwwSUiIiIiIqKM4CPBrZA9GxbK5ILu0ia7s+TkdJf2bTpLfvF8WffT1zJj0I1Stm6Pfm9IVKyRGbdcKTld2kjjevWkXlZzad8zx/hu+tGzvTTPaiLZeXfJtGXfG0cgvVSsmyG35PaULm2aSD1j/7Oat5ee5r4bj57tm0tW43Mlr+hlWbZtr/5X1bBlrhTldpY2jbOMz+kTvt/Z1V7jq90tuebvn1Mm6/QrEcY5v3GVrKnJsau0Q5ZM6Kh+JzwaFy2ScBzFJO53xp5XQdXwGKfbcazYIHOHXSnjyrfrDbXBuHbXvS0T8i6SDj2NWNW8sTTvMkwmL/o2JNddOklkOUi+qetax3GUDY3bSBdLfFf1FhXfn5fyDbv0P6ote2XzjOulvi7DYmNpXbdb1s0YLbk5ZjndQJq37171W6I+3byhNM7uK0XTlsq2dKts2qSs7kmUAJ4JbsWWeTKqbScZNnONpYKwSzYsfFj6dmgjzUJcQa1YXSpdjYu0/oAZsllvq7RntcwY3EbqNekrpct36I3pZLesLu1lFDInyIAZ3+ptJlTypsvgFg2kSa9SWb67JqWm+TkZmIhUrJTSro1ignLFupekb5MsyWo7Xsp3JCjibJ8rBQ3DlOBqSdvvDD6vgqrRMU6D41ixTVa9+5JMGNDWqJC3kaJF2/QLqVex9V25o/cYmblOV/z3rJGZw86XrKzz5ZY536RdY2U6S0o5SP6tK5Mcl6SxYtvHUpzbzKif9JGSZbV3vVWq+EJKOjZkguvGrGvUv15mbLYnfruMJHiotKjXTHqVfm6U6OkuVXVPoprxSHC3Sfm49lI/b5qsjzlP98rmWUOlaWgrqD/L1llDpEG9htKx5AuHik+F7FowShrVy5JjC+dL+qW4G2VWfnOjkOkhJSucWnG/lwWFrY3X20jhgu/0turYY8TZPhmaiKyWspzGsQkuGnWyGyW2gN6zSIoahzDBTdp+Z/J5FVCNjnEtH0d1tylP8kc9KM880E8a1mqCu0OWFQ+QG2etjy7Pd7wvRS3rS72mQ2VWTOWyLkOMK5Iry1br59GSUg6GTvxjlFRxElyoWFEiHXEXrWOxLKv138c5lpK2dZbkNzB+y44lssLpp9q1QAobGa8f+//tne9PVNfWx/kD5g0vfUFiQkh4YWIM4QXGNMwLjDckg9EQgprJYNowRA1Q46A3DBgBG2dMW4jt0N5OKkSv0yqxT7GPtBVb6I3cW7mPNEoa+lR9oEUr/qhkNKjAfJ+9z5w9c+bMOTP7MAg6d32SSXRmmP1rrbXX2mfvtY9i5JVfTFop35MgMiN1gLv4M4Kb15g7Xs+voXNj3WvqoM5i1F/GlLACgXGj8DWCJ8OtzGF7RbfdPLsK/3obcjYFMG7osz3EsLeEtS8fzowm5/+8APelQAGuDgpwY7zOAa6G+VE/8lczwF24jkDFuxh9pncQhcNVBM/gffU9IrqAXZnh/JDtrGIfpQlwhd3IyalEcGJOfXO1oADXnAieMdu4PicXmwLXYeiuqbt4Xov5cMV8T4LIDKkAN6esG+OGK4RckF/DM7gc0ba8Vgw/MWpb9Ol1Ts5abO39BYvqu68KixNBbGaTX553GIYn3pTFh1zk2Hah92Ym53QowF0WKMDVQQFuDApwlwc1IEjeUiv6KIWD+R/HM9y58j4qc8kJNWeV+0g6wDVbpF9JKMA1Zw4TwUo2TiXwDicdhmNE8HysCxu57drai5uvmrOpY+V8T4LIjDRblJ/gRmA7bDl5sDeFDBIaLCD82yTuz2udCT4p/A31jmrUtx9Fs2sbqtu/0B04Z98ZOgF3dR28xw7BaVeTViX8Dk9wMY7BUCc8lXa4+n5hv/sRaotZUMoNQfGb6Bz6fclOd4RNHi6byflbRuThJTQV8vNH7+Hq7FJcIl0io5wClFa9i+FH0d9amDiNnUW8LTzpwH6ELK3AcofNzcbF6AwER2wfz0OZ/5+YNYrfpTFzoNn4KMnH3oSz4Qj8/jZ4aveg5dRVzGjHMfIY458dg6elC73nzqK36zCajhzArlLmhKbr1vkZjA+G0NngQP6uj3Dp/DHU1Xvh83GZKYe782vcNEpkMP8HRk+1wulsRLvfh3ZPHWpbTmM0SX4NJmVRpqcKRS79ZC0j26zJ4Z/R769FhesQfP534G1oQtelz9GmD2KUsv4Ov3szivyDGO9rRjlPRJG/HUeHxXnBFehnFel6K/CzNv9Ad30lKuuPwNe8G47qDpyXTsqWIjCTGb+M2vsM98cvI9TZiPIiP0bnpnElUIdiZg+4Pha7T+EGG9NI+Do+a6pQ9bcQ5U2fYzxJ3iTHR8VaH8vI2yrqp44lBbgJibJsyC91wj88E/1sYQJndhYriXZsRQ7sCU2kDk6f/hudZXkpAlwbNnSOpQlwWb/xeeeMH267A/6hH9GnyACrm8OP4RnRx+nHRpGf9kNo6erBuXM96Gr5K454dqJUqQMfn2vo8+9GsZPbtg5UFZfC2fwOfG2HcLDLxLbxv5PRO2Vc/wqH3YVmH5Oz+n3xsZ8dQWeNmqxI6XOePJIniXHH+97IDqYaq0dDaLeLxDNV8PH353/HUOc+VLubcazZBbujCcGR6SQZX1ZdTNk3oiwPKov2oG9yMrEsVxeGxNltmT5SkJsTlkS6LcqTIVSzuts2d+PGc97CdLL7Gwbq1ytjlPB0je982MQCEuV9I/2VaaM6lyrz9Lto8nYoNudA1TbUmCUcmmdj3d0IR2U92tmc7nK40H7eSqIl5n9OXGDz5zY4apvha/fA3fR3Ji9PlKMK0XaYJcFKl+BvGcc1Mok+F9MNw/O3jMg9DDZtRI6tAv6rDxP1+JWD29KV8j0JIjPSJ5kSyQxUQ2Ar2op9LSdw6uKPmExSdmYULrXBXtKMATFRRKYx0LgRhY0X1XO8ETwd68aertGYIYuEx9BdtQH2jh/wKKYQMxhmjmA0W9tabGv2YrejER/2fYvhSyfhsedlcF4h1flb7nj8iKB7E5sUjmFQtGOpCOO15oDOuC1gpn8/KjT9IE+qMxDPMDP6KdxF6+HouKRbNFgKRg40dyS+QUvZdnQM3YlPDJGHuOqvRFnLN2q5L3CHtXGz/0fNGeYI5sa6YM9nzkzijKJDv0CQaDCjMlOIAtcpTMxp2qgkldmKzR3f4V6s7QuYvfoeNpe1xZPPKCQHuAsTIewVZSY4FjKyzd5Szq1tQFX3WHxcmbN5I/gWChIm0sT25b5Rik2FO9D+8WFU5uZgjWcQsyvSz1Hk681R62XfgqaBKfX9edwbaEJhYRMG7kkUyL5vGJhJjV+G7dU66vmH8EmAOd/1J9A3+D0u9TTBbsvD5g/O42zdFlS19+Di0Hf40u9i/ZCP6tAtVpJAdnyiWOtjOXlbPf1MZulPcIVTtAENA7pEUDP9cFd8gLGMAgZhLzfBO/xAfc+MxHnnjdISFFYdwcdtVcxJFlucJcYmMoX+up2sLx5HP1eYxVgnCziUcdaWw2xNgnPLHPfrn6Bmt862iXFNp3eR+7jSUY41VX/D9Vi/sToPtGNP7wQbdRUlgDJ+OmluB1l5/fWsL5KfRvEzodtcn2FSkS3W1q5D6Br7U9Omv6FqTTk6rtyPj/Fy62KqvkkI0Lehub0WjoSyDPJtpOgjeR1dIqkCXJE8reAtBG+IAF5GdqPjVJHUJnEkS6+/sm1U59Lcnej6UZOxnNmckY4tbJ4+qSxUxFDq70BJ08WYjYzcu4jGwo1oHJjWjKsZbE4YPYGK/I1o6J+MlRd5NISjBw5gX0lZYjvMkmAZJvhb5nFNdf6WL+YG96Ion9nqQW0i11eVlfQ9CSIz0ga4nOhThzrm9PCJgSmqeCUYV/Y9Jesim5CCP2u29IrtF+XoHOMG5wmb5LewCb1Kc25EnTRt7qSnOSLTcU7hAfRPC4USq3Jmh9zTMauev81DaW0r/H6/+mqD561tKK+oh7/vmuETGOuwgH7kKNblFKKmb1JjuP/EyNF29EsFAzrEGQibHbVtvnj92z14y1GOivp30Td2b5mMpYEDrThvRYbJxyL3mEOaW4S6/inW1mn01xajKnRb024GXzHeclzSgVYnzqQEMUKu1qIiOK46bdxhb0RBbn1yv0Z+R797PQrqvsSdWGWSA1wFg+zKUrItFjNKWNv0Cy9qEonEiZQhymIOozKxP72GQMUmVASu4elK9bPVeqv1ytkcxIR2O5WyNSkPGzuv4bn6ljlGgZns+C2HXKmZIG35KPFcwHRM1/9Qn3KshUO7+KQ+5UjYliU9PsoblvpYzpZyVls/42S0RfnpFbSvsyG3pg/Tscpw2/k+9vf/nlg/i0Sm+1CTa0OBu08NvtITn3d4cPRcWZStKNqJwNis3NiwwLzWVoPQVGJO1IXxALZodUkJYmwobLqEhwlV40dktmtsG0NK7/jCWRuKc7YkBtfhf8LPF4W15+ZSBm8MkyzzmB2CtzAXhd4hNpMK+BzuxUFxxnlhDJ0bbLBtYXUV5Sk6vA42/kQ4oa3Lp4vpbZLIAMv6vKE/uSx9EJKij+R1dImIALfICW/MR/HD590DB3/a33YaIyIA05BKdhVM2mSkv/JtNJlLGdEnzQbzdNLZYfVY2MYujClPpFOgJo5LtBecF5juq2O+od4OmdTP4HjI8o6rOH+bA1tpLdpi48h3Jr0JR3kl6pfhuqfFm73YquxEsPgqPIzhWa3CpGFFfU+CyAypADfOAsJT/4PBviD89Y7o6m5BI/rvcLP1HJOh3bCxiTXpHkRlBUs8LWXG7eJBlJQcxEXl76KYOkeqA7DefxVaE5CRMyXO35ptGdERCU9idOBj1JfuTQrApVDPJGizHUYefo1Dh7UOgjziDITZ9uo4fFX7e3Q1vg2vrw0HKjfD0WS0VTcVyQ50tHyT7NNipVRxNKKrfbbS/ej54XbcQWHB/dgXw5iSsqvmE6dwomJOmxhXw0yFz3Crdydrh3ZSNftt/ftysr2oBA8mZ1NMz1mqZRmcBV+pfo4GPfL1jjosNoPtnurqrlmmyAQMAjPp8ZtaBrkS5fOVfq0WhjHqL2UTuH6xLVlW5MfHah/L2lLOautnnIxssnBubTvY+KrP0CJ3MXDouDUHTM/8JPobNiY/QUqHGlwkj5fk2Kj/Lm04iR8mw/FxCP+ELy5Pxh3nFAHUwlgnNmgCUim9W1S3Q67twIg22dbczzjjLkOZdpdUirKjJMt8lD8x0s50RLsriW/D3PdefEdV5DdcbCxDSeNXmmBW1a2k3QGZ66K8TUpTlr5upn1kRUeXiCqDyf2fBlPZVTFpU7L+WmmjmawwhF1fz/qWy2TkFkLV7LsbOnXHIMTOunQPLsT3CuBKeGgQxdgOmdQvI9srgzh/a7alV0ckjKnRi/ikvoK1zUwvV4+V9T0JIjPSBLjP8ODOQ1Xx9cxhsq8eBTlr1JUusdq6GZ7gWfT19cVfZ/1wrtE79/w8zPf4sjcQXf1RLjU3C3DlVhtlEedv0zviiwiPncXxwGlcCPArMLRPm6wgjJxYVeerjO04nrB9TRY+QfMzEBKG9sU4gntPxM8Qz/+KkKsQudWn8Kv0tQLCIRBtF0/PzRwjdSJRFg/mMTdxCq4C8eS/AKXOg+i6YOWcTYqJU3xm24f+GdbGhwOoZ0GE8XdFO7QTjdlv69+Xk+05RSb1cq6SLsCtCmEqoU9Wrp+juiRbb1GvNSj1fJzYF32n4XeuM3BgjdDLFUN6/O4ug1wZlK9g5oTrZcLK+CxY7GMrtlTfjpXWzziZ2GRO1HnKRYm6ZToyfR77j2u3T1sk8hjXu51YZzW45Sjzztrkp9vSYxPGRG+tsvVc6dt8O5xNJ3BBf1bWZH5T4J8J2yardw+5E26mQzpSla2gl3mBeJq1Dm716Xpk8nPsTdjqrsLP8l7+L/QGjitPrMp53gnTADdTXZSxSRbLMu0jq/7OElDKlhxLLcrfGcmuikmbkvXXShvNZIWjfib6XNj5Ug+C2t9kr7N+Jwtc09kQdaxMvmdsh0zql5HtlUCcv5XZbRgeQ+h4AKcuBLAvL5VerhZcd1bS9ySIzEgd4HLld+kdbw3iyWRtP2b0RswUvrLzDwRqNyG32IW24JcYHpvCn1dNnCNpYyyLWP2zllEzWl66tpkjVpiVrWjPufIHTTJTp0NdkZbInMi3w23K2YDdfbdZqzlie5aVawWSHeiZ/n3MyJkZYFUONI5Z+NZ3CHpd6tkn7vDl6c5bp8LCxKlsCzRzCEQ7ClHbP62+Z/bb+vd15ZgQlRGTCTBdgJtUh5XrZ2v1Fv2Y6QSslyuGpfHLVK4MyleQd6qtjI+1PpaTtyj6dqy0fsZZuk1WEU92lOMIs5gItqB73PAZlARPcTNUD0dDyCAZkQSmgY2FsYnM4tblILxOuzL2St/adGdQTcthKJ/ZUOC5hEexcU6jd8rfmOmQDn3ZkRn89M/biM8MepnX8OI6AmVrYKsOYTLyDDd7m9GVsHXzGaJJIfNR7DyCYP8wxqbu4KqhbullWCCri5J9o2CxLNM+sqKjS8TKWGrR11mPyefJ+muljSlkRf87S21XjJcZ4C7zuCpPfVlbTa/UMUCpk4wsrzQr7XsSRGakD3DXHcKg6RaxqDGIboURWenSCPCLCfRWF8BWdgxD9+IrWlqjFAlP4/Z99TNpYyyLqKdZynZjouVlYPT4Sl5NIXJya9Fzzo+9CQkyLKCePzK/3igOTxB26uBhnIqdk16OAFcYL/HkXofYjqRsgQzjlx/GMBOrJnOmJ0cQatnG+lL2LEuKiVP0hdj6JP6vbgtNRDxF17bd7Lf178vJttgZILvVN4p5+1aqn63WO2W9pDFwNKXH7/4yyFWmTrWV8bHax5K2VGG19TPO0m2yQJyfK0RNz2n49n7Ogif1I0vwJDHvoKY1McnX4uR/44OvJc/zmsw70mMz9yt+GL0XLysSxuTIGbQ42BygPWNoWo4Yx/jxHCm9S6lDOvRlczms1dqhFLaX1ehm7y7Y+FUgP/+IwFsnNeVF8OLXU6jOzUNZQrI4rW4xWYvdwPCSdTEBi2WZ9pEVHV0iStmrGeBaaWMKWRE2RwR5VmTUEPHEXrtYHcfYDpnULyPbm56oXKbYLm6EUqcU42fAipzBFeO2Yr4nQWRG+gA3vwDV2syLWpTEIG+omSnZpDYRRIVNn92Qwz/rwT42+bxQFF6/xSGCZyMdWKsapfnRTtQK5ZY2xpKIM2iS528FGQe4zHxGs0/mIr9wP5aUXIoRzYAocwbCACXIXqdLtJQOA4dAXaRITvDAilASugiZYZOKaw9Ck7qUQ/NswnOslzTgZhMnk6nxbpTxBCSBn9SnDk/xa28NcnPr0Detk1h1gSFxi4zZb+vfl5PtRZFIyChJhmG2Ro5ZHRgr1c9W6823H1WsVZ/eqO8J+Gf7eiQcFyNHU3b8+LavTOUqc6dafnz4G1b6WFLelP+vtn7GyTzA5d0UPatsy9+I+iUll1rAoyvvJgW3zAXE7GAH3pY5B8cxDRIkx4b9vStJPyKYZ3/r0I6VaTlPmKO9DTwZY+CG2p9SevcUE8Ed0cAz6Q7KWYydCOCycGiVHROasvl8X893YwlS2CZGdFfSGrxRuQN7EvpCBAn6bZmPMdK+SdUtrmdetR+WQxdlbZLFskz7yIqOMiJP8edjnZ6lQ5ENFoSY9L8ppjKlYvi5yHGg1V8rbVTHJOmojZATbZIpIaO7k22P8tnhtEGQuMYxOZEeD34PGGxzNpZl4U8tzfamQ/Sp5PlbwRIC3JXgZfmekSeP8TjBVhPE8iAR4ObhDYcTDR8O4lZSmvetuqsw1HNHxZr06gzlqqFGPwZn5tWVpjUoC1xXjR2DOX8/dNbgDRt/qvqA+Xt+7BcGwcRYL9WZEg6UXCKcOJkHuAzD7JNWEEGy1UQHnHnMDLagxN6BodhdjjIYOQTMUZvsg7vArrmSgaHIRDkKY9lK+aRSiOKD32qeEjH49rYtbja56R0wI9SJKXcXuq9rMnYr11cVGVw/cAt97hIUa64fiD7RaYO9sB59k9qJ03jSM34/vWwr/aJcVVGacHUB5u/iip/fJ220kmtWB85K9bPVekfUs5u6eilX3jTj8OCd2DiZY+JoSo1fpu3lLINTLT0+HKt9LCNvnNXWzzjLEeACDzDsZUGQ1eyeCgsI3zgJV2FZYoZP5XUE9eWVyYljzEgZJEiMjfL3pTiYoAvMQR7vxpYdLAgTTVO+x5zGhCt91HYUFMEV/ElzHlpO74RtTMwSzH7z+qd4u+vfLIRQWfwFvVvXqnLH6xbEvt5fNM57KtvEULMi5yQtSIlzjNsQiG0xn8Pk+VY4NuWpT4DYOLe2q4vMy6OLcjbJYlkp+0hSR0WGZ9tWJn8WZn5VNoyCxpSklF2G0qbCBB8sMvsvdFasY3ZIv7NN1g5FbckG+24cvaS57mZ+CgNNdhTUhHBTeyRrbhy9rmKdnedy34PGw5cS7ZEhfCHLB3uudss/t7Hfot3B26G3Q+qOg7Lu+NEwfm1aZzUKknbWyLY5DUI/rN728UoGuC/H94xmrLYZ3F1OEJmTPsCt4IL3WDlL1FxZBnvlLjid21FatBWe4BXdKjmHOaMjJ+Fx/EW5tJ4nkHI3fBi/QJ1/PvQB3GVb4PKdxLlQDz4JXsT47B8Y8VeioGgLKht6WdByF8N+N3Ypyaf4/bvl2OV6D8MPxhHa60T0rjf1Ava9ofhVBIYsIjz6MdzOXerfsUkjvxSVzrfQOvCblLIuS4CrZJ98kxleq8mlHmE00BDtd+WcnNpu11FmgLWOhRl88j+Nuroea8lWlHsDd0QTg+SsQVH5Drj8w6w2HD6ZXEGweTeq3M3w+ZrhrtqN5gSZYJOeey8+PHcSR73teD94Gr2Bo/C4D6H7ynR8EkyJ6sxsP4YzHx1BU9sx+H2H4LRvN5E/xvw0RoJeOKvq4PW9A697J5PFHs2VCvwqjffg2lWOIr6tx1aE8l38Av+7Bu83IRRbTU4n2xzRL2/C2XCEOdZt8NS347Oxr+HLZ7/JZU85wxJOLKugEp429nux/hWsVD/L1lu4x+r3Pdthdx6Cj3/ffQBdQ7+nLy+lXDHSjl+G7TUp/wG/+zOmYwUorXRib2gcDwxlRTznkhkfgdU+TiNvr4J+Lkwwe+xitknUQ7XVTqeEXTaCXw10DH8xSliUjkeX4IklzDJ6ydhvfpeomHdsKKjcjzZPo2a8BWnG5s55uF1dONfrh7ftfQTP9CDQwb7j+QRXYnLMUIKRtdjuP4mPWv6KNp8fvmYX7I4mBEeMxkBO7yLh/8VA5x6U2V1o9vnQ3nwA3o/+oZNJFlCMh9Bgt7M2tKKp5Yw6PxjZR60dFCzg4aAXGxsu6gIS/rufo6m8ELbi3fD18GQ9X+DrsT/wVFnkKUDRX6rR8CkL3h++BF006xtLej/BWsEx6yOBxJwgdm9oM4SnQqmnM+b7ROvE/K60+iQru+r4iDr7vGg4+HeMXTrKfBxVVxLOjMrMe9PobzyMgXv3Mf5ZO+o9bdFFpcqdaebpJjiEjHr2oqHre+PvGsLvXT0Nb9U2uJR6NaG+5azajuSFtkj4Oj5rErLB5pWGVpxaqu1NRfgqAm5mE2N3+EfHz9U6ILdz7pUKcF+u7ymexGtvGCGI5SJ1gEvEWJ4A9z4un+jDTasPJjKCT/qX0XX8vzChGBi+mnYaF6YsbpdaNdQA1+wpAkEQWcQiZi9/itNJ22uzlHRP2wiCsMTy7CRZRV7RLcrWed19T+J1hwJcSZYS4EbCt/HT7Vmm5ur/732DE+eT7217eXAD8w1aa9pw7spVjI6Ostd3CNa1Wjp/vLpQgEsQWQvPNPzT/8W34UZ+x1cnvko6O5y1UIBLEMsKBbivAtngexKvOxTgpmFxahAn/D601dphy1mPSs9R+P1nMRZO9xhWZPrbpCbhmsOtr75a0XMGkZnv0GrPU7ffaF5WUtavOhTgEkTWotyJaVPzEjCn6Na3OG/lnOLrDgW4BLGsvLYB7uIkBk/44W+rRamNbzE/AJ+/E6GxP9UvvD5kh+9JvO5QgPsS4UkJeuveRMfFf2Fk4AIu6y/5J1Jgdk5Wf56IIIjXFp4EqPdtVHdcwLWRr3H+8oQmqVI2oz0vqckx8Yi8P4JYEko+AKv5WQiCyFYowH3pLCB8995/iNNGEARhnUj4Hu4aJCEhCIIgCIKwCgW4BEEQBEEQBEEQRFZAAS5BEARBEARBEASRFVCASxAEQRAEQRAEQWQFFOASBEEQBEEQBEEQWQEFuARBEARBEARBEERWQAEuQRAEQRAEQRAEkRVQgEsQBEEQBEEQBEFkBRTgEgRBEARBEARBEFkBBbgEQRAEQRAEQRBEVkABLkEQBEEQBEEQBJEVUIBLEARBEARBEARBZAUU4BIEQRAEQRAEQRBZAQW4BEEQBEEQBEEQRFZAAS5BEARBEARBEASRFVCASxAEQRAEQRAEQWQFFOASBEEQBEEQBEEQWQEFuARBEARBEARBEERWQAEuQRAEQRAEQRAEkRVQgEsQBEEQBEEQBEFkBRTgEgRBEARBEARBEFkBBbgEQRAEQRAEQRBEVkABLkEQBEEQBEEQBJEVUIBLEARBEARBEARBZAHA/wPnjJ8kf21f2QAAAABJRU5ErkJggg==
Un teorema sigue la siguiente estructura:
!!__Hipótesis__
!!__Conclusión__
Los siguientes teoremas están en la wiki:
{{{[tag[Teorema]]}}}
!!__Hipótesis__
Sean $$(X_n)$$ [[Variable aleatoria]] iid con $$\E(|X_n|^2)<\infty$$, con media $$\mu = \E(X_1)$$ y matriz de varianza-covarianza $$\Gamma = Cov(X_1)$$.
Además, considerar el promedio empírico;
\[
\bar{X}_n := \frac{1}{n}\sum_{k=1}^n X_k
\]
!!__Conclusión__
$$\sqrt{n}(\bar{X}_k - \mu)$$ es [[Convergente en ley]] a $$\Nel(0, \Gamma)$$
!!__Recuerdo__
Para que $$z\in \Nel(\mu, \Gamma)$$ se necesita que toda combinación de las coordenadas sea gaussiana.
!!__Observación__
Si $$\Gamma$$ es invertible, entonces se que $$\sqrt{n}\Gamma^{-1}(\bar{X}_k - \mu)$$ es [[Convergente en ley]] a $$\Nel(0, Id)$$
!!__Hipótesis__
Sea $$f$$ contínua en $$[a, b]$$, y $$\epsilon > 0$$
!!__Conclusión__
Existe un polinomio $$p$$ tal que:
\[
\sup_{x\in[a, b]}\, |f(x)-p(x)|<\epsilon
\]
Es decir, los polinomios son densos en $$C[a, b]$$.
!!__Hipótesis__
Sea $$f^*$$ una función Borel medible, $$f$$ una [[Función de activación]] no polinomial acotada y $$\epsilon>0$$
!!__Conclusión__
Existen $$W, b, U$$ tales que:
\[
\begin{aligned}
F(X) &= F(xW+b)U\\
|F(x)-f^*(x)| &<\epsilon
\end{aligned}
\]
!!__Idea:__
Con una [[Red neuronal]] suficientemente ancha se puede aproximar puntualmente una función medible, aún si se considera una profundidad de 1.
!! Hipótesis
Sea $$E$$ un evn y $$E^*$$ su [[Espacio dual]].
!!Conclusión
$$B_{E^*} = \{l\in E^*: \Vert l\Vert \leq 1\}$$ es compacta en la [[Topología débil-*]]
!!Demostración
Considerar las funciones a $$\R$$, escritas como un vector:
\[
\R^E = \{f:E\to\R: f = (w_x)_{x\in E}\}
\]
Con su topología producto, es decir, las proyecciones $$p_x:\R^E\to \R$$ dadas por $$f\mapsto f(x)$$ son continuas para cada $$x\in E$$, y es la topología más pequeña con esta propiedad.
Ahora considerar otro espacio:
\[
K = \{w\in\R^E: |w_x| \leq \Vert x\Vert\}
\]
Uno podría inducir la topología traza de $$\R^E$$, o la topología producto directamente en $$K$$, pero estas dos son equivalentes. ([[Ejercicio Pendiente]]: justificar esto)
Entonces, se tiene que:
\[
f\in B_{E^*} \iff f\in K \wedge f\text{ lineal}
\]
Por el teorema de Tychonoff, se tiene que $$K$$ es compacto en la topología producto, pues es un producto arbitrario de espacios compactos.
Luego, consideramos una función $$\phi: B_{E^*}\to K$$ dada por $$f\mapsto (\langle f, x \rangle)_{x\in E}$$.
Notar que en esencia, $$\phi$$ es una identidad, pues no cambia nada de la función (es evidentemente inyectiva), solamente cambia la topología.
La idea es demostrar que $$\phi$$ es un homeomorfismo al restringirlo a su imagen, de forma que $$B_{E^*}$$ se demostrará homeomorfa $$\phi(B_{E^*})\subseteq K$$, donde $$K$$ es compacto. Para esto, hay que demostrar 3 cosas:
# $$\phi$$ es continua
# $$\phi^{-1}$$ es continua
# $$\phi(B_{E^*})$$ es cerrado
Para lo primero, usamos la [[Continuidad en la topología inicial]]:
\[
\begin{aligned}
\phi \text{ es continua } &\iff \forall x\in E: p_x\circ \phi\text{ es continua }\\
&\iff \forall x\in E: \langle f, x\rangle \text{ es continua }\\
&\iff \forall x\in E: J_x\text{ es continua }\\
\end{aligned}
\]
Lo cual es cierto por la construcción de $$\sigma(E^*, E)$$.
La siguiente demostración es similar:
\[
\begin{aligned}
\phi^{-1} \text{ es continua } &\iff \forall x\in E: J_x\circ \phi^{-1}\text{ es continua }\\
&\iff \forall x\in E: \langle J_x, f\rangle \text{ es continua }\\
&\iff \forall x\in E: \langle f, x\rangle \text{ es continua }\\
&\iff \forall x\in E: p_x \text{ es continua }\\
\end{aligned}
\]
Lo cual es cierto por la construcción de la topología producto.
Así, $$\phi: B_{E^*}\to \phi(B_{E^*})$$ es un homemorfismo.
Para la última parte, calculando explícitamente:
\[
\phi(B_{E^*}) = \{w\in K: w_{\lambda x+y} = \lambda w_x+w_y \}
\]
Luego, considerar los conjuntos:
\[
\begin{aligned}
A_{x, y} &= \{w\in K: w_{x+y}-w_x-w_y = 0\}\\
B_{\lambda, x} &= \{w\in K: w_{\lambda x}-\lambda w_x = 0\}\\
\end{aligned}
\]
De forma que se tenga:
\[
\phi(B_{E^*}) = \bigcap_{x, y\in E} A_{x, y}\cap \bigcap_{\lambda, x} B_{\lambda, x}
\]
Por lo que bastará demostrar que cada uno de los conjuntos en la intersección es cerrado.
Primero, considerar la función $$\xi_{x, y}$$ dada por $$w\mapsto w_{x+y}-w_x-w_y $$ es una función continua, y tiene que $$A_{x, y} = \xi_{x, y}^{-1}(0)$$ es cerrado por ser preimagen de cerrado.
Análogamente, con $$\psi_{\lambda, x}$$ dada por $$w\mapsto w_{\lambda x}-\lambda w_x $$ es continua, por lo cual $$B_{\lambda, x} = \phi_{\lambda, x}^{-1}(0)$$ es cerrado.
Así, se concluye que $$\phi(B_{E^*})$$ es una intersección de cerrados, por lo cual es cerrado, y como es subconjunto de compacto, es compacto, y por último, $$B_{E^*}$$ es homeomorfo a un compacto, por lo cual es compacto.
Con una observación $$x\in\mathcal{X}$$ y parámetro $$\theta\in\Theta$$:
\[
p(\theta|x) = \frac{p(x|\theta)p(\theta)}{p(\theta)} \propto p(x|\theta)p(\theta)
\]
Estas cantidades se llaman:
* Prior: $$p(\theta)$$ representa nuestro conocimiento previo
* Verosimilitud: $$p(x|\theta)$$
* Densidad posterior: $$p(\theta|x)$$
* Densidad marginal: $$p(\theta) = \int_{\Theta} p(x|\theta)p(\theta)\,d\theta$$
''Hipótesis''
Sea $$P(A, b)$$ poliedro. Para $$I=[m]$$ definimos:
\[
F_I = \{x\in P: A_I x = b_I\}
\]
''Conclusión''
# $$F_I$$ es cara de $$P$$
# Toda [[Cara]] no vacía se puede escribir como un $$F_I$$
''Demostración''
1. El caso $$I = \varnothing$$ es trivial pues $$F_\varnothing = P$$. De otra forma, tomando $$q^\top = \sum_{i\in I} a_i, r=\sum_{i\in I} b_i$$. Hay que demostrar que forman una desigualdad válida. Sea $$x\in P$$, por lo cual $$Ax\leq b$$, y así:
\[
q^\top x = \sum_{i\in I} a_i^\top x \leq \sum_{i\in I} b_i^\top = r
\]
Por lo cual es válida. Luego, se demostrará que $$F_I = F^{q,r }$$
$$(\subseteq)$$ Sea $$x\in F_I$$, es decir, $$a_i^\top x \leqb_i$$. Sumando:
\[
\sum_{i\in I}a_i^\top x \leq \sum_{i\in I}b_i \implies q^\top x \leq r
\]
$$(\supseteq)$$ Sea $$x\in F^{q, r}$$, es decir, satisface:
\[
Ax\leq b;\, q^\top x = r
\]
De la definición de $$q, r$$ se puede reescribir:
\[
\forall i\in I: a_I^\top x\leq b_i ;\, \sum_{i\in I} a_i^\top x = \sum_{i\in I} b_i
\]
Pero esto implica que:
\[
\forall i\in I: a_I^\top x = b_i
\]
Es decir, $$A_Ix = b$$, por lo cual se tiene que $$x\in F_I$$
2. Sea $$F^{q, r}$$ una cara. Considerar el siguiente problema primal:
\[
\max\, \{q^\top x: Ax\leq b\}
\]
Cuyo valor óptimo es $$r$$, y por [[Teorema de dualidad fuerte]] se tiene que su dual:
\[
\min\, \{b^\top y: A^\top y = q, y\geq 0\}
\]
Tiene el mismo valor óptimo. Sean $$x, y$$ óptimos de (P) y (D). Por [[Holgura complementaria]] se tiene que para toda fila $$i\in [m]$$:
\[
y_i( b_i - a_i^\top x) = 0
\]
Luego, considerar $$I$$ las filas donde $$y_i > 0$$. Luego, dado $$x\in P$$ se tiene:
\[
\begin{aligned}
x \in F^{q, r} &\iff x \text{ es óptimo de } P\\
&\iff \forall i\in I:\, a_i^\top x = b_i \\
&\iff A_I x = b_I\\
&\iff x\in F_I
\end{aligned}
\]
''Hipótesis''
Sea $$x$$ solución de un [[Programa lineal]] e $$y$$ la solución del [[Problema dual]] asociado.
''Conclusión''
\[
val_P(x) = c^\top x \leq b^\top y = val_D(y)
\]
''Demostración''
Como $$y$$ es factible en D, se tiene que:
\[
y^\top A = c
\]
Multiplicando ambos lados por $$x$$:
\[
y^\top Ax = c^\top x
\]
Y como $$x$$ es factible en P, se tiene:
\[
Ax\leq b
\]
Lo cual implica:
\[
c^\top x = y^\top( Ax) \leq y^\top b
\]
Que es lo que se quería demostrar.
Si uno entre el problema primal o el [[Problema dual]] es factibles, entonces sus soluciones son iguales.
En particular, el único caso en que no son iguales es que ambos sean infactibles.
En resumen:
{{tabla_dualidad_fuerte.png}}
''Demostración''
En el caso $$P=\varnothing, D\neq\varnothing$$, se tiene que $$\{Ax\leq b\}$$ es infactible, y por [[Lema de Farkas]], se tiene que $$\exists y$$ tal que $$y\geq 0; A^\top y =0; b^\top 0 < y$$. Más aún, sea $$y'\in D$$. Luego, definiendo:
\[
y_\lambda := y' + \lambda y: \lambda>0
\]
De esto, se tiene que $$y_\lambda\geq 0$$. Más aún:
\[
A^\top y_\lambda = A^\topy' + \lambda A^\top y = A^\top y' = c
\]
Por lo cual $$y_\lambda \in D$$. Por último, se tiene que:
\[
\lim_{\lambda\to\infty}b^\top y_\lambda =-\infty
\]
El caso $$P\neq\varnothing, D = \varnothing$$ es totalmente análogo.
En el caso $$P\neq\varnothing, D \neq \varnothing$$. Sea $$x\in P$$ un punto óptimo de valor $$\gamma$$. Sea $$\epsilon >0$$, considerar el sistema $$P_\epsilon$$:
\[
Ax\leq b; c^\top x \geq \gamma + \epsilon
\]
Que es infactible por la definición de $$\gamma$$. Por lema de Farkas, $$\exists y, \mu \geq 0$$ tales que
\[
y^\top A -\muc^\top = 0;\, y^\top b -\mu (\gamma+\epsilon) = 0
\]
Notar que si $$\mu=0$$ se tendría:
\[
y^\top A = 0;\, y^\top b = 0
\]
Esto es una contradicción pues el lema de Farkas nos diría que $$Ax\leq b$$ es infactible.
Luego, se tiene que $$\mu > 0$$, en particular, definiendo $$z = \frac{y}{\mu}\geq 0$$ nos da:
\[
A^\top z = c;\, b^\top z = \gamma + \epsilon
\]
En particular, $$z\in D$$. Más aún, por [[Teorema de dualidad débil]] se tiene que:
\[
\gamma \leq b^\top z < \gamma + \epsilon
\]
Es decir, $$\inf\, z = \gamma = \min\, z$$. Luego, se tiene que:
\[val(D) \geq z = \gamma = val(P)\]
Por lo cual dualidad débil permite ya concluir lo pedido, $$val(D) = val(P)$$
!!__Hipótesis__
Sea $$A\in \R^{m\times n}$$, y $$R\subseteq [m]$$.
!!__Conclusión__
$$A$$ es [[Matriz totalmente unimodular]] ssi existen $$R_1, R_2$$ tales que $$R = R_1\cupdot R_2$$ que cumplan:
\[
\sum_{i\in R_1} a_{i, j} - \sum_{i\in R_2} a_{i,j}\in\{-1, 0, 1\}
\]
!!__Demostración__
[[Pendiente]]
''Proposición''
Sea $$E$$ un espacio vectorial sobre $$\R$$, $$f\in\mathcal{L}(M, \R)$$ con $$M$$ s.e.v. de $$E$$ y $$p\in \R^E$$ sublineal que domina a $$f$$.
Entonces, existe una extensión lineal de $$f$$ en $$E$$ dominada por $$p$$.
''Demostración''
$$X = \{h\in\mathcal{L}(A, \mathbb{R}): A \text{ sev de } E, p \text{ domina a } h, f\leq h \}$$
$$r \leq s \iff r\big|_{\text{Dom}(s)} = s$$
$$f\in X\implies X\neq\varnothing$$. Más aún, la relación es de orden [[Ejercicio Resuelto]]:
* Refleja: $$h_1\big|_{\text{Dom}(h_1)} = h_1 \implies h_1 \leq h_1$$
* Antisimétrica:
\[
\begin{aligned}
r \leq s \wedge s \leq r &\implies \text{Dom}(s) \subseteq \text{Dom}(r)\wedge \text{Dom}(r) \subseteq \text{Dom}(s)\\
&\implies \text{Dom}(r) = \text{Dom}(s)\\
r \leq s \implies r &= s\big|_{\text{Dom}(r)} = s\big|_{\text{Dom}(s)} = s\\
\end{aligned}
\]
*Transitiva:
\[
\begin{aligned}
r \leq s \wedge s \leq t &\implies \text{Dom}(r) \subseteq \text{Dom}(s)\wedge \text{Dom}(r) \subseteq \text{Dom}(t)\\
&\implies \text{Dom}(r) \subseteq \text{Dom}(t)\\
t\big|_{\text{Dom}(r)} &= \left(t\big|_{\text{Dom}(s)}\right)\big|_{\text{Dom}(r)}\\
&= s_{\text{Dom}(r)} = r\\
&\implies t\leq r
\end{aligned}
\]
Luego, se quiere ver que sus cadenas están acotadas. Sea $$C$$ cadena en $$X$$, se construye la cota superior $$g$$ con $$\text{Dom}(g) = \bigcup_{h\in C} \text{Dom}(h)$$. Así, sea $$x\in\text{Dom}(h)$$, en particular, existe $$h\in C$$ tal que $$x\in \text{Dom}(h)$$, por lo cual se puede definir $$g(x) = h(x)$$, así que cada $$x$$ tiene al menos una asignación. Para ver que esta asignación es única (es decir, está bien definida):
$$x_1=x_2, x_1\in\text{Dom}(h_1), x_2\in\text{Dom}(h_2)$$
Como $$C$$ es cadena, asumir sin pérdida de generalidad que $$h_1\leq h_2$$, en particular, $$x_1\in\text{Dom}(h_2)$$. Más aún:
$$
g(x_2) = h_2(x_2) = h_1(x_1) = g(x_1)
$$
Demostrando que $$g\in\mathbb{R}^{\text{Dom}(g)}$$. De la manera que se construyó la función, ya es claro que $$\forall h\in C$$, $$\text{Dom}(h)\subseteq \text{Dom}(g)$$ y $$g\big|_{\text{Dom}(h)} = h$$, es decir, $$h\leq g$$, por lo cual $$g$$ es una cota superior de $$C$$ en $$\mathbb{R}^{\text{Dom}(g)}$$, pero es necesario ver que $$g\in X$$.
Sean $$x_1, x_2\in \text{Dom}(g)$$, como antes, sin perder generalidad, $$x_1, x_2\in \text{Dom}(h)$$ con $$h\in C$$, y como $$h\in X$$, se tiene que $$\text{Dom}(h)$$ es sev de $$E$$, y luego, $$x_1 + \lambda x_2\in \text{Dom}(h)\subseteq \text{Dom}(g)$$, por lo cual $$\text{Dom}(g)$$ es sev de $$E$$. Más aún:
$$g(x+\lambda y) = h(x + \lambda y) = h(x) + \lambda h(y) = g(x) + \lambda g(y)$$
Así, $$g\in\mathcal{L}(\text{Dom}(g),\mathbb{R})$$.
Por último, se tiene que $$|g(x)| = |h(x)| \leq p(x)$$ y que $$f\leq g$$, dado que acota a elementos mayores que $$f$$, lo cual es suficiente para concluir que $$g\in X$$.
Por [[Lema de Zorn]], existe un elemento $$F$$ maximal en $$X$$. En particular, $$f\leq F$$, por lo cual $$F$$ es una extensión de $$f$$ dominada por $$p$$, basta ver que su dominio es $$E$$.
Suponer lo contrario, es decir, $$\exists x\in E\setminus\text{Dom}(F)$$. La idea es construir $$F'>F$$, para lograr una contradicción con la maximalidad de $$F$$
Considerar $$F'$$ definida en $$\text{Dom}(F') = \text{Dom}(F)\oplus \langle x\rangle$$ (sev de $$E$$) como $$F'(y+tx) = F(y)+tF'(x) = F(y) +tc$$, donde la definición está construida para preservar linealidad, y la manera de escribir los elementos es única ya que $$x\notin \text{Dom}(F)$$. Cuando $$t=0$$, se nota que en efecto $$F'$$ extiende a $$F$$, en particular, extiende a $$f$$.
Dado que $$F'$$ es una extensión de $$F$$ que no cumple $$F'=F$$, para lograr una contradicción de la maximalidad basta ver que $$F\in X$$, y la única condición que falta verificar es que está dominada por $$p$$. Para esto, se separa en dos casos:
* Si $$t>0$$:
\[
\begin{aligned}
\forall y\in \text{Dom}(F); \frac{f(y)}{t} + c \leq \frac{1}{t}p(y) + tx &\iff f\left(\frac{y}{t}\right) + c \leq p\left(\frac{y}{t}+x \right)\\
&\iff f\left(y\right) + c \leq p\left(y+x \right)\\
&\iff c\leq p(y+x)-f(y)\\
&\iff c\leq p(y+x)-f(y)\\
\end{aligned}
\]
* Análogamente, si $$t<0$$:
\[
\begin{aligned}
\forall y\in \text{Dom}(F); \frac{f(-y)}{t} - c \leq p\left(\frac{-y}{t}-x \right) &\iff f(y)-c\leq p(y-x)\\
&\iff c\geq f(y)-p(y-x)\\
\end{aligned}
\]
Ahora, notando que:
\[
\begin{aligned}
f(y)+f(z) &= f(y+z)\\
&\leq p(y+z) = p((y-x) + (z+x))\\
&\leqp(y-x)+ p(z+x)\\
\implies f(y) - p(y-x)&\leq p(z+x)-f(z)
\end{aligned}
\]
Por tanto, se puede elegir $$c$$ en este intervalo, y esto es suficiente para que $$p$$ domine a $$F'$$, lo cual es una contradicción. Así, el dominio de $$F$$ debe ser $$E$$, concluyendo lo pedido.
Dados subconjuntos $$A, B$$ de un evn $$X$$ (o un evt localmente convexo), ambos convexos no vacíos y disjuntos, y además alguna hipótesis topológica $$H$$ sobre los conjuntos, un teorema de Hahn-Banach geométrico nos garantiza la [[Existencia de un hiperplano de separación]]. Si la separación es débil o fuerte depende de $$H$$.
Cabe destacar que si el espacio es de dimensión finita, no se requiere ninguna hipótesis topológica para una separación débil.
Este es un [[Teorema de Hahn-Banach Geométrico]] con $$H: A$$ abierto. La separación garantizada es no estricta.
''Demostración''
Como lema, se demuestra que dado $$C\subseteq E$$ un convexo abierto que contiene al 0, existe $$p$$ sublineal tal que $$C=\{x\in E: p(x)<1\}$$. Para esto, considerar:
\[
p(x) = \inf\left\{\alpha>0: \frac{x}{\alpha}\in C\right\}
\]
Como $$C$$ es abierto que contiene al 0, se tiene que $$\exists r>0$$ tal que $$B(0, r)\subseteq C$$. Luego, dado $$x\in E\setminus\{0\}$$, se tiene que $$\frac{rx}{\Vert x\Vert }\in C$$, y de esa forma, con $$\alpha = \frac{\Vert x\Vert }{r}>0$$, el conjunto es no vacío. Además está acotado inferiormente por $$0$$ - por completitud de $$\R, p$$ está bien definido. Más aún, uno tendrá que $$0\leq p(x)\leq \alpha = \frac{1}{r}\Vert x\Vert$$.
Ahora, sea $$x\in C$$, entonces $$\exists \epsilon>0$$ tal que $$(1+\epsilon)x\in C$$ ya que este es abierto. Luego, tomando $$\alpha = (1+\epsilon)^{-1} > 0$$, se tiene que $$\frac{x}{\alpha}\in C$$, por lo cual $$p(x)\leq \alpha = (1+\epsilon)^{-1} < 1$$.
Luego, sea $$x\in E$$ tal que $$p(x) < 1$$, es decir, $$\exists 0 < \alpha < 1$$ tal que $$\frac{x}{\alpha}\in C$$. Luego, la combinación convexa $$\alpha\frac{x}{\alpha} + (1-\alpha)\cdot 0=x\in C$$ por convexidad de $$C$$.
Entonces, los conjuntos enunciados son iguales. Solamente falta demostrar que $$p$$ es sublineal. La multiplicación con escalares es directa de la definición de $$p$$. Para la desigualdad triangular:
Dado $$\epsilon>0$$, se tiene que:
\[
\frac{x}{p(x)+\epsilon}\in C; \frac{y}{p(y)+\epsilon}\in C
\]
Tomando $$0<t = \frac{x+\epsilon}{p(x)+p(y)+2\epsilon}<1$$ se tiene que la combinación convexa:
\[
\begin{aligned}
t\frac{x}{p(x)+\epsilon} + (1-t)\frac{y}{p(y)+\epsilon} &= \frac{x}{p(x)+p(y)+2\epsilon} + \frac{y}{p(x)+p(y)+2\epsilon}\\
&= \frac{x+y}{p(x)+p(y)+2\epsilon}\in C
\end{aligned}
\]
Luego, se debe tener que:
\[
\begin{aligned}
\forall \epsilon>0: p(x+y)&\leq p(x)+p(y) + 2\epsilon \\
p(x+y)&\leq p(x)+p(y)
\end{aligned}
\]
Por lo cual $$p$$ es en efecto un funcional sublineal y acotado.
[[Pendiente]] Finalizar demostración
Es un [[Teorema de Hahn-Banach Geométrico]] con $$H:$$ $$A$$ es cerrado, $$B$$ es compacto. La separación garantizada es estricta.
Un caso muy usado es cuando $$A = \overline{C}$$ para un convexo $$C$$ (cuya clausura es todavía convexa) y $$B=\{x\}$$ un singletón.
''Demostración''
[[Pendiente]]
!!__Hipótesis__
Sea $$F$$ [[Cara]] no vacía de $$P(A, b)$$
!!__Conclusión__
\[
F\text{ es minimal } \iff \dim(F) = \dim(\ker(A))
\]
''Hipótesis''
Sean $$E, F$$ espacios de Banach, $$T\in\Lel\Cel(E, F)$$ sobreyectiva.
''Conclusión''
$$T$$ es función abierta.
''Corolario'':
Si $$T$$ es además invertible, entonces es isomorfismo.
!!__Hipótesis__
Sea $$T:E\to E$$ un [[Operador compacto]] con $$E$$ un espacio de Banach.
!!__Conclusión__
# $$\ker (I-T)$$ es finito dimensional
# $$\text{Im}(I-T)$$ es cerrada e igual a $$\ker(I-T^*)^\perp$$
# $$I-T$$ es inyectiva ssi es epiyectiva
# $$\dim\ker(I-T) = \dim\ker(I-T^*)$$
Usando [[Espacio ortogonal]]
!!__Idea__
Este resultado nos da "alternativas" para la solución del problema:
\[
(I-T)u = f
\]
Por ejemplo, si el problema homogéneo tiene solución única ssi el no homogéneo tiene solución.
Más aún, se nota que si el problema tiene solución, esta es única.
De otra forma, si no tiene solución para cada $$f\in E$$, aún así se tiene que tiene $$n>0$$ soluciones linealmente independientes, y se caracterizan sus soluciones como $$f\in \ker(I-T^*)^\perp$$. En particular, por la finito dimensionalidad, sea $$\{\ell_i\}$$ base de $$\ker(I-T^*)$$, las soluciones están caracterizadas por cumplir $$\langle l_i, f\rangle = 0$$
!!__Nota__
Esto no ocurre para operadores lineales generales, se puede dar contraejemplo.
!!__Demostración__
[[Pendiente]]
!!__Hipótesis__
Sean $$(\mu_n)$$ medidas de probabilidad en $$\R^d$$ con [[Función característica]] $$\phi_{\mu_n}$$
!!__Conclusión__
# Si $$\mu_n$$ son [[Medida débilmente convergente]] a $$\mu$$, entonces $$\phi_{\mu_n}$$ converge puntualmente a $$\phi_{\mu}$$
# Si $$\phi_{\mu_n}$$ converge puntualmente a $$\phi$$ continua en 0, entonces $$(\mu_n)$$ es [[Familia tensa]] y converge en ley a algún $$\mu$$
!!Hipótesis
Sea $$N_t$$ un proceso de Poisson de tasa $$\lambda$$.
!!Conclusión
\[
\lim_{t\to\infty} \frac{N_t}{t} = \lambda
\]
!!Demostración
[[Pendiente]]
Primero notemos que para $$n\in \N$$ se tiene:
\[
N_n = \sum_{k=1}^n N_k - N_{k-1}
\]
Donde $$N_k - N_{k-1}$$ distribuye Poisson($$\lambda$$). Por tanto:
\[
\begin{aligned}
\frac{N_n}{n} = \frac{1}{n}\sum_{k=1}^n N_k - N_{k-1}
\end{aligned}
\]
Usando la ley de los grandes números, se tiene que:
\[
\frac{N_n}{n} \to \E(N_1-N_0) =\lambda
\]
Ahora, notar lo siguiente:
\[
\frac{N_t}{t} = \frac{N_t - N_{[t]}}{t}+\frac{N_{[t]}}{t} = \frac{N_t - N_{[t]}}{t}+\frac{N_{[t]}}{[t]}\frac{[t]}{t}
\]
Y además:
\[
\begin{aligned}
\frac{N_t - N_{[t]}}{t} &\leq \frac{N_t - N_{[t]}}{[t]}\\
&\leq \frac{N_{t^*} - N_{[t]}}{[t]}\\
&= \frac{N_{t^*} - N_{[t]}}{[t]}\\
\end{aligned}
\]
Y ahora:
\[
\lim_{t\to\infty}\frac{N_t}{t} = \lim_{t\to\infty}\frac{N_t - N_{[t]}}{t}+\frac{N_{[t]}}{[t]}\frac{[t]}{t} =\lambda + \lim_{t\to\infty}\frac{N_t - N_{[t]}}{t}
\]
Por último
[[Pendiente]]
''Hipótesis''
Sea $$P\subseteq \R^n$$.
''Conclusión''
$$P$$ es [[Poliedro]] ssi existen $$W, R$$ finitos tales que:
\[
P = \text{conv}(W) + \text{cono}(V)
\]
''Nota'': Esto permite deducir el [[Teorema de Minkowski Weyl fuerte]]
''Demostración''
$$(\impliedby)$$ Como [[Envoltura finitamente generada es poliedro]], se tiene que $$W, R$$ son [[Poliedro]]s. Luego, como [[La suma de poliedros es poliedro]], se tiene que $$P$$ es poliedro.
$$(\implies)$$
El caso $$P = \varnothing$$ es trivial tomando $$W=R=\varnothing$$.
Luego, considerar que $$P\neq\varnothing$$, donde $$P = P(A, b)$$
Considerar el siguiente [[Cono poliedral]]:
\[
T = \{(x, \lambda): Ax - \lambda b\leq 0, \lambda \geq 0 \}
\]
En particular, como
[[Un cono poliedral es finitamente generado]]
, se tiene que $$T$$ es finitamente generado por vectores $$\begin{pmatrix}z_k\\\lambda_k\end{pmatrix}$$.
Escalando, se puede asumir sin pérdida de generalidad que $$\lambda_k \in\{0, 1\}$$, por lo cual se puede escribir:
\[
T = \text{cono}\left(\left\{\begin{pmatrix}x_i\\1\end{pmatrix}\right\}_{i\leq k }, \left\{\begin{pmatrix}r_i\\0\end{pmatrix}\right\}_{i\leq l }\right)
\]
Lo que se demostrará es que se puede tomar $$W = \{x_i\}_{i\leq k}, V = \{r_i\}_{i\leq l}$$.
Esto ocurre pues:
\[
\begin{aligned}
x\in P &\iff \begin{pmatrix}x\\1\end{pmatrix} \in T\\
&\iff \exists \gamma, \mu\geq 0\text{ tales que } \begin{pmatrix}x\\1\end{pmatrix} = \sum\gamma_i \begin{pmatrix}x_i\\1\end{pmatrix} + \sum\mu_i\begin{pmatrix}r_i\\0\end{pmatrix} \\
&\iff \exists \gamma, \mu\geq 0\text{ tales que } x= \sum\gamma_ix_i+ \sum\mu_ir_i \wedge 1 = \sum\gamma_i\\
&\iff x\in\text{conv}(W) + \text{cono}(V)
\end{aligned}
\]
Que es lo que se quería demostrar.
''Próposición''
$$P(A, b)$$ es [[Poliedro]] ssi existe un polítopo $$T$$ tal que:
\[
P(A, b) = T + P(A, 0)
\]
''Demostración''
De la [[Caracterización del cono de recesión]] se tiene que $$P$$ es poliedro ssi:
\[
P(A, b) = conv(W) + P(A, 0)
\]
Como $$W$$ es finito, $$conv(W)$$ es finitamente generado. Pero por [[Caracterización de los polítopos]] se tiene que $$conv(W)$$ es el polítopo $$T$$.
!!__Hipótesis__
Sea $$P$$ [[Poliedro puntiagudo]], con $$V$$ el conjunto de [[Punto extremo]]s, $$R$$ los [[Rayo extremo]].
!!__Conclusión__
\[
P = \text{conv}(V) + \text{cono}(R)
\]
!!__Hipótesis__
Sean $$(\mu_n), \mu$$ medidas de probabilidad
!!__Conclusión__
Las siguientes son equivalentes:
# $$\mu_n$$ es [[Medida débilmente convergente]] a $$\mu$$
# \[\langle \mu_n, f\rangle \to \langle\mu, f\rangle\] para toda $$f$$ acotada uniformemente continua
# \[\langle \mu_n, f\rangle \to \langle\mu, f\rangle\] para toda $$f$$ Lipschitz acotada
# \[\forall F\text{ cerrado: }\, \lim\sup_{n\to\infty}\, \mu_n(F)\leq \mu(F)\]
# \[\forall G\text{ abierto: }\, \lim\inf_{n\to\infty}\, \mu_n(G)\geq\mu(G)\]
# \[\forall A\in \Beta \text{ tq } \mu(\partial A) = 0:\, \lim_n \mu_n(A) = \mu(A)\]
# \[\langle \mu_n, f\rangle \to \mu, \langlef\rangle\] para toda $$f$$ acotada y continua $$\mu(dx)$$ c.s.
!!__Hipótesis__
Sea $$M$$ una [[Familia tensa]] en $$(E, d)$$
!!__Conclusión__
$$M$$ es relativamente compacta
!!__Recíproca__
Si $$E$$ es completo, se tiene la recíproca
!!__Hipótesis__
Sea $$(X, d)$$ un espacio métrico completo, y $$S$$ una contracción, es decir, que existe un $$k<1$$ tal que:
\[
\forall x, y\in X:\, d(S(x), S(y))\leq k d(x, y)
\]
!!__Conclusión__
$$S$$ tiene un único punto fijo.
!!__Hipótesis__
Sea $$H$$ un [[Espacio de Hilbert]], considerar una función $$\phi\in H^*$$ es su [[Espacio dual]]
!!__Conclusión__
Existe un único elemento $$f\in H$$ tal que para cada elemento $$u\in H$$ se tiene
\[
\langle \phi, u\rangle = (f, u)
\]
Más aún:
\[
\Vert \phi\Vert_{H^*} = |f|_{H}
\]
!!__Interpretación__
Existe una isometría biyectiva $$T: H^*\to H$$ dada por $$\phi\mapsto T(\phi)=f$$, es decir, identificamos $$H^*$$ con $$H$$.
La inversa de esta isometría está dada por $$v\mapsto (u\mapsto (v, u))$$
!!__Generalización__
Se puede pedir que el producto sea [[Forma coerciva]] simétrica.
!!__Demostración__
!!!__Existencia__
$$\phi^{-1}(\{0\})$$ es un espacio vectorial. Existen dos casos:
* Si $$M:=\ker\phi = H$$ se tiene que $$\phi\equiv 0$$ , por lo cual basta tomar $$f = 0$$
* Existe $$u\in H\setminus M$$. Continuando en este caso.
Por [[Existencia y unicidad de la proyección a un convexo]] se puede tomar su proyección ortogonal. Por [[Caracterización de proyección en sev]] se tiene que con $$g:= u - P_M(u)$$, entonces $$g\perp u$$ para cada $$u\in M$$. Sin pérdida de generalidad, considerar a $$g$$ normalizado.
''Idea'':
Sea $$v\in H$$. Queremos encontrar $$w\in M, \lambda \in\R$$ tales que:
\[
v = w + \lambda g
\]
En particular, se tiene que:
\[
\langle \phi, v\rangle = \langle \phi, w\rangle +\lambda \langle \phi, g\rangle
\]
Pero como $$w\in M$$, se elegiría $$\lambda$$ vía:
\[
\lambda = \frac{\langle \phi, v\rangle }{\langle \phi, g\rangle }
\]
Por construcción, esto está bien definido.
Así, la construcción da que $$v-\lambda g =\in M$$. De esta forma, basta elegir $$w = v-\lambda g$$, de forma que se tiene:
\[
v = w + \lambda g
\]
Y así:
\[
(g, v) = (g, w) + \lambda(g, g) =\frac{\langle \phi, v\rangle }{\langle \phi, g\rangle }
\]
Por último, tomando $$f = g\langle \phi, g\rangle$$, se tiene que:
\[
(f, v) = \langle \phi, v\rangle
\]
!!!__Unicidad__
Sean $$f, g$$ que cumplan la propiedad. En particular:
\[
(f, v) = \langle \phi, v\rangle = (g, v)
\]
Es decir:
\[
(f-g, u) = 0
\]
Al tomar $$u=f-g$$, se tiene que $$f=g$$, por lo cual $$f$$ es único.
!!!__Isometría__
\[
\begin{aligned}
\Vert \phi\Vert_{H^*} &= \sup_{u\in H }\,\frac{|\langle\phi, u\rangle|}{u}\\
&= \sup_{u\in H }\,\frac{|(f, u)|}{u}\\
\end{aligned}
\]
Luego, por [[Desigualdad de Cauchy-Schwarz]] se tiene que:
\[
\Vert \phi\Vert_{H^*} \leq |f|
\]
Para la otra desigualdad:
\[
\begin{aligned}
\Vert \phi\Vert_{H^*} &\geq |\langle \phi, g\rangle| = |f|
\end{aligned}
\]
''Hipótesis''
Sea $$\mu$$ una medida $$\sigma$$-finita y $$\phi \in (L^p(\Omega))^*$$ con $$1\leq p <\infty$$
''Conclusión''
Existe una única función $$g\in L^q$$ (dual) tal que:
\[
\phi(f) = \int fgd\mu
\]
Más aún:
\[
\Vert \phi\Vert _{(L^p(\Omega))^*} = \Vert g \Vert_{L^q}
\]
''Observación''
En el control 1 se demostró que esto no ocurre en el caso $$p=\infty$$
!!__Hipótesis__
Sea $$E$$ un evt Hausdorff
!!__Conclusión__
$$E$$ es de dimensión finita ssi existe una vecindad compacta del 0.
!!__Demostración__
[[Ejercicio Pendiente]]
Bajo hipótesis razonables sobre $$f$$ (regularidad en $$\theta$$, integrabilidad de $$\nabla_\theta f$$ y cotas) y tasas de aprendizaje $$\beta$$ suficientemente pequeñas, la sucesión $$(\theta)_n$$ dada por el [[Método del gradiente estocástico]] converge c.s. al conjunto de puntos críticos de $$\E(f(\theta, X))$$
!!__Hipótesis__
Sea $$a$$ [[Forma coerciva]] contínua, $$K\subseteq H$$ cerrado y convexo y $$\phi\in H^*$$
!!__Conclusión__
Existe un único $$u\in K$$ tal que:
\[
a(u, v-u) \geq \langle \phi, v-u\rangle:\, \forall v\in K
\]
Si además $$a$$ es simétrico, entonces $$u$$ se caracteriza por:
\[
\frac{1}{2}a(u, w) - \langle\phi, u\rangle = \min_{v\in K}\, \frac{1}{2}a(v, v) - \langle \phi, v\rangle
\]
!!__Demostración__
Primero considerar el caso simétrico.
[[Pendiente]]
Caso no simétrico usa [[Teorema de punto fijo de Banach]]
''Proposición''
Sean $$E, F$$ espacios de Banach, $$T\in\Lel(E, F)$$. Entonces:
$$T$$ continua ssi $$G(T)$$ es cerrado en la topología de $$E\times F$$.
''Demostración''
$$\implies$$ es fácil
[[Ejercicio Pendiente]] el otro lado.
!!__Hipótesis__
Sean $$(X_n), X$$ [[Variable aleatoria]] en $$(E, d)$$ tal que $$X_n$$ es [[Convergente en ley]] a $$X$$. Sea $$\phi: (E, d)\to (E', d')$$ mapa continuo casi siempre para la ley de $$X$$
!!__Conclusión__
$$\phi(X_n)$$ converge en ley a $$\phi(X)$$
''Proposición''
Sea $$F$$ una [[Cara]] de $$P$$, sean $$I=act(F)$$ las [[Restricciones activas]]
''Conclusión''
\[
\dim(F) = \dim(\ker(aff(A_I)) = n - rango(A_I)
\]
''Demostración''
Usando el [[Espacio afín de una cara]], se tiene:
\[
aff(F) = \{x\in\R^n: A_Ix = b_I\}
\]
Luego, tomando $$\bar x$$ tal que $$A_J(\bar x +x) = b_I$$. Entonces:
\[
aff(F) = \{\bar x\} + \{x\in\R^n: A_Jx = 0\}
\]
Es decir, $$\{x\in\R^n: A_Jx = 0\} $$ es el [[Espacio vectorial asociado]], de forma que:
\[
aff(F) = \dim\{x\in\R^n: A_Ix = b_I\} = \dim\ker A_I
\]
[[Pendiente]]
!!__Hipótesis__
Sea $$P(A, b)$$ [[Poliedro puntiagudo]] con coeficientes racionales.
Luego, sea $$S$$ [[Conjunto Lineal Mixto]] dado por $$P$$
!!__Conclusión__
$$\text{conv}(S)$$ es también poliedro racional. Más aún, su [[Cono de recesión]] es igual al de $$P$$.
!!__Observación__
Considerar el [[Programa lineal]] mixto dado por $$S$$. Este se puede resolver a través del programa lineal puro dado por $$\text{conv}(S)$$. El problema es que su matriz puede ser enorme, lo cual motiva las técnicas del curso.
Corolario de: [[TEU extendido]]
!! Hipótesis
Considerar un [[Problema controlado]] tal que:
# $$u\in A\subseteq L_{loc}^\infty(I, \R^m)$$
# $$\tilde{f}\in C^1$$
!!Conclusión
Para toda condición inicial $$(t_0, x_0)\in I\times V$$, existe una única [[Solución maximal de PC]] dado por $$f(t, x) := \tilde{f}(t, x, u(t))$$
Corolario de: [[TEU extendido]]
!! Hipótesis
Considerar un [[PC lineal]] que cumpla las siguientes condiciones:
# \[A, r\in L^1_\text{loc}(I, \R^{n\times m})\]
# \[B\in L^p_\text{loc}(I, \R^{n\times m}), r\in L^q_\text{loc}(I, \R^{n\times m})\]
Esta segunda condición es para garantizar que $$Bu \in L^1_\text{loc}(I, \R^{n\times m})$$ por desigualdad de Hölder.
!!Conclusión
Para toda condición inicial $$(t_0, x_0)\in I\times V$$, existe una única [[Solución maximal de PC]], y está dada por:
\[
x(t) = X(t)x_0 + X(t)\int_0^tX(s)^{-1}(B(s)u(s)+r(s))\, ds
\]
Donde $$X(t) := X(t, t_0=0)$$, con $$X(t, t_0)x_0$$ es la solución de:
\[
\begin{aligned}
x' &= A(t)x\\
x(t_0) &= x_0
\end{aligned}
\]
!! Hipótesis
Considerar el siguiente PC:
\[
x'(t) = f(t, x(t))\, \forall t\in I; x(t_0)=x_0
\]
Que cumplirá las siguientes condiciones:
# $$f$$ es [[Función Carathéodory]]
# $$f$$ es localmente Lipschitz en $$x$$ uniformemente en $$t\in I$$, es decir: \[\begin{aligned}&\forall x\in V\exists V\in \Nel_x, \exists \alpha\in L^1_{\text{loc}}(I, \R_+):\\
&\forall t\in I, \forall y, z\in V_x, \Vert f(t, y) - f(t, z)\Vert \leq\alpha(t)\Vert y - z\Vert\end{aligned}
\]
!!Conclusión
Para toda condición inicial $$(t_0, x_0)\in I\times V$$, existe una única [[Solución maximal de PC]].
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"2020 01 31 11:14:20": "hide",
"2020 01 31 11:15:52": "hide",
"Customize TiddlyBlink": "show",
"How TiddlyBlink works": "hide",
"How to add TiddlyBlink to your TiddlyWiki": "hide",
"My notetaking process in TiddlyBlink": "hide",
"This is crazy!": "hide",
"4. Topics, sources and hiding?": "hide",
"Test thing": "show",
"Cadena de Markov": "hide",
"Un hiperplano es cerrado ssi su f es continua": "hide",
"Clase 3 Markov: Construcciones de Cadenas": "hide",
"Clase 1 Markov: Definiciones básicas, recuerdos de Probabilidades": "hide",
"Clase 1 PLM: Definiciones y recuerdos.": "hide",
"Clase 2 Markov: Matriz de transición": "hide",
"Clase 4 Markov: Matriz de transición en n pasos, filtraciones": "hide",
"Clase 5 Markov: Markov débil y tiempos de parada.": "hide",
"Clase 6 Markov: Propiedades básicas de filtración de un tdp, Markov fuerte": "hide",
"Auxiliar 3 Markov: Markov débil y fuerte": "hide",
"Auxiliar 01 Markov: Esperanza condicional": "hide",
"Auxiliar 03 Funcional: Topología débil": "hide"
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Dado $$J$$ los [[Tiempos de salto]], el tiempo de explosión está dado por:
\[
\sup_{n\in\N}\, J_n
\]
Dependiendo el contexto, se refiere a uno de los conceptos:
* [[Tiempo de retorno discreto]]
* [[Tiempo de retorno continuo]]
Sea $$X$$ [[Cadena de Markov a tiempo continuo]]. Se define su (primer) tiempo de retorno/llegada a $$A\subseteq I$$ como:
\[
\tau_A := \inf\,\{n> J_1:X_n\in A\}
\]
Donde $$J$$ son los [[Tiempos de salto]].
El $$k$$-ésimo tiempo de retorno se define recursivamente:
\[
\tau_A^{(k+1)} := \inf\,\{n>\tau_i^{(k)}: X_n\in A\}
\]
''Observaciones''
El caso donde $$A$$ es singleton es el más interesante. Esto generaliza a [[Tiempo de retorno discreto]] en tiempo discreto.
Sea $$X$$ [[Cadena de Markov]]. Se define su (primer) tiempo de retorno/llegada a $$A\subseteq I$$ como:
\[
\tau_A := \inf\,\{n\geq 1: X_n\in A\}
\]
Donde el caso del singleton es el más interesante.
El $$k$$-ésimo tiempo de retorno se define recursivamente:
\[
\tau_A^{(k+1)} := \inf\,\{n\geq \tau_i^{(k)}: X_n\in A\}
\]
!!Hipótesis
Sea $$\tau_A$$ [[Tiempo de retorno discreto]]
!!Conclusión
$$\tau_A$$ es [[t.d.p.]]
!!Demostración
Lo que se quiere demostrar es que dado $$n\in\N, \{\tau_A\leq n\}\in\Fel_n$$:
\[
\begin{aligned}
\{\tau_A\leq n\} &= \{\inf\, \{k\geq 1: X_k\in A\}\leq n\}\\
&= \{\exists k\leq n: X_k\in A\}\\
&= \bigcup_{k\leq n}\{X_k\in A\}\\
&= \bigcup_{k\leq n}X_k^{-1}(A)\in\Fel_n\\
\end{aligned}
\]
Usando que $$\Fel_n$$ es la filtración natural. Esto concluye lo pedido.
Sean $$J$$ los [[Tiempos de salto]], los tiempos de espera están datos por:
\[
S_n = J_n - J_{n-1}
\]
Sea $$X$$ un [[Proceso Estocástico]] continuo por la derecha. Los tiempos de salto de definen como:
\[
J_n = \begin{cases} 0 &\text{ si } n = 0\\
\inf\, \{t\geq J_{n-1}: X_t\neq X_{J_{n-1}}\} &\sim
\end{cases}
\]
!!__Hipótesis__
Sea $$F$$ una [[Cara]]
!!__Conclusión__
Existen [[Faceta]]s $$\{F_i\}$$ tales que:
\[
F = \bigcap_{i=1}^n F_i
\]
Dado $$X$$ un evn, la topología débil en $$X$$ es la [[Topología inducida por funciones]] con $$\Fel= X^*,$$ es decir, la que tiene la siguiente base de vecindades del 0:
\[
V_{F, \epsilon} = \{x\in X: |\langle f, x\rangle|\leq \epsilon, \forall f\in F\}
\]
Más aún, por linealidad se nota que una base de vecindades de $$x\in X$$ es $$\{x\} + V$$
Esta topología se tiene anotar $$\sigma(X, X^*)$$ o $$\tau_w$$.
Proposición es el título
''Demostración''
Considerar una vecindad de $$x+y$$, dada por $$x+y+V$$ para $$V$$ una vecindad de 0. Luego:
\[
\frac{1}{2}V = \left\{z\in X: |\langle f_i, z\rangle|\leq\frac{\epsilon}{2}\right\}
\]
Es claro que:
\[
V = \frac{1}{2}V + \frac{1}{2}V
\]
Por tanto, basta tomar las vecindades:
\[
\begin{aligned}
V_x &= x + \frac{1}{2}V\\
V_y &= y + \frac{1}{2}V\\
\end{aligned}
\]
De forma que la suma es contínua.
Luego, considerar una vecindad de $$\alpha x$$, que debe ser $$\alpha x + V$$. Luego, se consideran vecindades del tipo:
\[
\begin{aligned}
V_\alpha &= \alpha+ (-r, r)\\
V_x &= y + sV\\
\end{aligned}
\]
Donde hay que encontrar buenas elecciones de $$r, s$$. Sea $$\beta\in V_\alpha, y\in x+ sV$$. Queremos que $$\beta y \in \alpha x + V$$.
\[
\begin{aligned}
\beta y &= (\alpha\gamma)(x+sz)\\
&= \alpha x + \gamma x + \alpha sz + \gamma s z \\
&= \alpha x + \gamma x + z(\alpha s + \gamma s)
\end{aligned}
\]
Entonces, se necesita que $$ \gamma x + z(\alpha s + \gamma s)\in V$$.
Considerar $$M>0$$ tal que $$x\in MV$$. Para esto se puede tomar:
\[
M = \frac{\max_{i\in I} \,|f_i(x)|}{\epsilon}
\]
Así, tomar $$r$$ tal que $$rM < \frac{1}{2}$$, para tener que:
\[
\gamma x\in \frac{1}{2}V
\]
De forma análoga, elegir $$s$$ tal que $$|\alpha s + \gamma s|<\frac{1}{2}$$, para tener que:
\[
(\alpha s + \gamma s)z\in \frac{1}{2}V
\]
Para tener que:
\[
\beta y \in \alpha x + \frac{1}{2}V +\frac{1}{2}V = \alpha x + V
\]
Por lo cual la ponderación por escalar también es contínua.
El título es la proposición
''Demostración''
Sean $$p\neq q\in X$$. Por [[Teorema de Hahn-Banach Geométrico Segunda Forma]] separando estos dos puntos, existe un funcional $$f\in X^*$$ tal que $$f(p)<f(q)\in\R$$, que es un Hausdofff, por lo cual que pueden separar estos dos puntos con vecindades disjuntas. Las preimagenes de estas vecindades también son disjuntas, y contienen a los puntos $$p$$ y $$q$$, por lo que se logró separarlos.
Dado un evn $$X$$, se define la topología débil estrella sobre $$X^*$$ como la [[Topología inducida por funciones]], tomando la familia de funciones todo [[Funcional de evaluación]].
Su base de vecindades está dada por:
\[
V = \{f\in X^*: |\langle f, x_i\rangle \leq r_i\}
\]
Se denota esta por $$\sigma(X^*, X)$$ o $$\tau_w^*$$.
Sea $$X$$ conjunto, $$\Fel$$ familia de funciones $$f:X\to (Y_f, \tau_f)$$.
Se llama a $$\tau$$ la topología inducida por $$\Fel$$, si está generada por:
\[
\{f^{-1}(U_f): f\in\Fel, U_f\in \tau_f\}
\]
Es decir, la más gruesa tal que todas las funciones de $$\Fel$$ son continuas.
''Hipótesis''
Sea $$P(A, 0)$$ un [[Cono poliedral]]
''Nota'': Se puede siempre tomar $$b=0$$ pues [[Un cono poliedral es homogéneo]]
''Conclusión''
$$P$$ es finitamente generado
''Demostración''
Sea $$K$$ el cono generado por $$A^\top$$, es decir, es [[Finitamente generado]]. En particular, como [[Envoltura finitamente generada es poliedro]], se tiene que $$K = P(R, b)$$. Pero como $$K$$ es cono, $$P$$ es un cono poliedral. Como [[Un cono poliedral es homogéneo]], se tiene que $$K = P(R^\top, 0)$$.
Se demostrará que $$P(A, 0) = \text{cono}(R)$$ por doble inclusión.
$$(\supseteq)$$ Sea $$x\in \text{cono}(R)$$, es decir, $$x$$ es una combinación cónica de las columnas de $$R$$, por lo cual existe $$\lambda\geq 0$$ tal que
\[x=R\lambda\]
Pero por la definición de $$K$$, se tiene que todas las columnas de $$A$$ están en $$P(R^\top, 0)$$, es decir:
\[
R^\top( A^\top)_{\cdot, i} \leq 0 \implies R^\top A \leq 0
\]
Luego, se tiene:
\[
Ax = AR\lambda = (AR)\lambda \leq 0
\]
Por lo cual $$x\in P(A, 0)$$
$$(\subseteq)$$ Sea $$x\notin\text{cono}(R)$$, es decir, el sistema:
\[
R\lambda = x, \lambda \geq 0
\]
Es infactible, por lo cual el [[Lema de Farkas]] nos dice que:
\[
R^\top y \geq 0, x^\top y < 0
\]
Es factible. Luego, se tiene que $$R^\top(-y) \leq 0, x^\top (-y) > 0$$. Por la primera desigualdad, se tiene que $$-y\in P(R^\top, 0) = \text{cono}(A^\top)$$, por lo cual:
\[
-y = A^\top \lambda, \lambda \geq 0
\]
Multiplicando ambos lados por $$x$$:
\[
x^\top (-y) = x^\top A^\top \lambda \leq 0
\]
Como $$\lambda \geq 0$$, se tiene que $$x^\top A \leq 0$$, por lo cual $$x\notin P(A, 0)$$. Por contrarrecíproca, se tiene lo pedido.
''Hipótesis''
Sea $$C$$ un [[Cono poliedral]] $$P(A ,b)$$.
''Conclusión''
\[b=0\]
''Demostración''
Sea $$C = P(A, b)$$. Como $$C$$ es cono, se tiene que $$0\in C$$, en particular, $$0 = A\cdot 0 \leq b$$. Luego, sea $$x\in C$$, se tiene que \[\forall \lambda \geq 0: A(\lambda x)\leq b\implies Ax\leq \frac{b}{\lambda}\to 0\]
Es decir, $$C=P(A, 0)$$
Proposición en el título
''Demostración''
[[Ejercicio Pendiente]]
!!Hipótesis
Sea $$X$$ una [[Cadena irreducible]] con [[Distribución invariante]] $$\pi$$ y [[Medida invariante]] $$\mu$$
!!Conclusión
$$\mu$$ es múltiplo de $$\pi$$.
!!Observación
En particular, cuando existe distribución invariante, todas las medidas son múltiplos una de la otra.
!!Demostración
!!!Caso discreto
Primero, se intentará realizar una afirmación, que $$\pi_i>0$$. En efecto, sea $$k$$ tal que $$\pi_k>0$$, que debe existir, y luego:
\[
\begin{aligned}
\pi_i &= (\pi P)_i = (\pi P^n)_i = \sum_{\ell\in I} \pi_\ell p_{\ell i}^{(n)}\\
&\geq \pi_k p_{k i}^{(n)} > 0
\end{aligned}
\]
Para algún $$n$$ cuya existencia la garantiza la irreducibilidad.
Luego, a calcular la [[Entropía relativa]] de $$\mu P$$:
\[
\begin{aligned}
E(\mu P) &= \sum_{i} \phi\left(\frac{\sum_j \mu_j p_{j i}}{\pi_i}\right)\pi_i\\
&= \sum_{i} \phi\left(\sum_j \frac{\pi_j p_{j i}}{\pi_i}\frac{\mu_j}{\pi_j}\right)\pi_i\\
\end{aligned}
\]
Pero ahora notar que:
\[
\sum_j \frac{\pi_j p_{j i}}{\pi_i} = \frac{1}{\pi_i} (\pi P)_i = 1
\]
Por lo cual esto es una combinación convexa. Por convexidad (combinado con el TCD para poder hacerlo en una combinación infinita):
\[
\begin{aligned}
E(\mu P) &\leq \sum_{i} \sum_j \frac{\pi_j p_{j i}}{\pi_i}\phi\left(\frac{\mu_j}{\pi_j}\right)\pi_i\\
&= \sum_{i} \sum_j \pi_j p_{j i}\phi\left(\frac{\mu_j}{\pi_j}\right)\\
&= \sum_{j} \left(\sum_i \pi_j p_{j i}\right)\phi\left(\frac{\mu_j}{\pi_j}\right)\\
&= \sum_{j} \pi_j\phi\left(\frac{\mu_j}{\pi_j}\right)\\
&=E(\mu)
\end{aligned}
\]
Para concluir se usa la estricta convexidad de $$\phi$$.
Primero, supongamos que $$p_{i, j}>0$$ para cada par de estados $$i, j$$. En este caso, la desigualdad se vuelve igualdad ssi $$\frac{\mu_j}{\pi_j}$$ es constante, que es lo buscado. Pero la igualdad debe darse, pues $$\mu$$ es medida invariante.
[[Ejercicio Pendiente]]: Generalizar sin este supuesto.
!!__Hipótesis__
Sea $$X\sim CM(Q)$$ que no es [[Proceso explosivo]], y $$P(t)$$ su [[Semigrupo de transición]]
!!__Conclusión__
$$(P_t)_{t\geq 0}$$ es la única solución [[Débilmente acotada]] de la [[Ecuación backward de Kolmogorov]] (y de la [[Ecuación forward]])
Un valor propio de un operador es un elemento de su [[Espectro puntual]].
Se le puede asociar un [[Vector propio]]
Dado un espacio de probabilidad $$(\Omega, \Fel, \P)$$ y un espacio medible $$(S, \mathcal{S})$$, se dice que $$X\in\mathcal{M}(\Fel, \mathcal{S})$$ es una variable aleatoria a valores en $$S$$.
Dado $$\lambda$$ un [[Valor propio]] de $$T$$, un vector propio es un elemento del espacio propio:
\[
\ker(\lambda I -T)
\]
Dado datos $$D$$, se define $$L:\Theta\to[0, \infty)$$ como $$L(\theta) = p(D|\theta)$$. A $$L$$ se la llama función de verosimilitud, y el valor de $$L(\theta)$$ es la probabilidad que el modelo $$\theta$$ genera a $$D$$.
Más aún, a su logaritmo se la llama log-verosimilitud.
''Observación'': Los datos son fijos, por lo que cambiarlos cambia la función $$L$$, es decir, no se puede compara verosimilitudes de distintos datos.
Es una [[Cara]] que es un singleton, es decir, de dimensión 0.